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16 pages, 343 KiB  
Review
A Diagnostic Approach in Large B-Cell Lymphomas According to the Fifth World Health Organization and International Consensus Classifications and a Practical Algorithm in Routine Practice
by Magda Zanelli, Francesca Sanguedolce, Maurizio Zizzo, Stefano Ricci, Alessandra Bisagni, Andrea Palicelli, Valentina Fragliasso, Benedetta Donati, Giuseppe Broggi, Ioannis Boutas, Nektarios Koufopoulos, Moira Foroni, Francesca Coppa, Andrea Morini, Paola Parente, Valeria Zuccalà, Rosario Caltabiano, Massimiliano Fabozzi, Luca Cimino, Antonino Neri and Stefano Ascaniadd Show full author list remove Hide full author list
Int. J. Mol. Sci. 2024, 25(23), 13213; https://doi.org/10.3390/ijms252313213 - 9 Dec 2024
Viewed by 369
Abstract
In this article, we provide a review of large B-cell lymphomas (LBCLs), comparing the recently published fifth edition of the WHO classification and the International Consensus Classification (ICC) on hematolymphoid tumors. We focus on updates in the classification of LBCL, an heterogeneous group [...] Read more.
In this article, we provide a review of large B-cell lymphomas (LBCLs), comparing the recently published fifth edition of the WHO classification and the International Consensus Classification (ICC) on hematolymphoid tumors. We focus on updates in the classification of LBCL, an heterogeneous group of malignancies with varying clinical behaviors and different pathological and molecular features, providing a comparison between the two classifications. Besides the well-recognized diagnostic role of clinical, morphological and immunohistochemical data, both classifications recognize the ever-growing impact of molecular data in the diagnostic work-up of some entities. The main aim is to offer a guide for clinicians and pathologists on how the new classifications can be applied to LBCL diagnosis in routine practice. In the first part of the paper, we review the following categories: LBLs transformed from indolent B-cell lymphomas, diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS), double-hit/triple-hit lymphomas (DH/TH), high-grade large B-cell lymphoma, not otherwise specified (HGBCL, NOS), LBCL with IRF4 rearrangement, Burkitt lymphoma (BL) and HGBCL/LBCL with 11q aberration, focusing on the differences between the two classifications. In the second part of the paper, we provide a practical diagnostic algorithm when facing LBCLs in routine daily practice. Full article
(This article belongs to the Special Issue From Diagnosis to Treatment of Haematological Neoplasms)
15 pages, 3520 KiB  
Article
FoxP3+ Regulatory T-Cell Quantities in Nodal T-Follicular Helper Cell Lymphomas and Peripheral T-Cell Lymphomas Not Otherwise Specified and Their Impact on Overall Survival
by Eva Erzar, Alexandar Tzankov, Janja Ocvirk, Biljana Grčar Kuzmanov, Lučka Boltežar, Veronika Kloboves Prevodnik and Gorana Gašljević
Cancers 2024, 16(23), 4011; https://doi.org/10.3390/cancers16234011 - 29 Nov 2024
Viewed by 386
Abstract
Background/Objectives: The tumour microenvironment (TME) plays an important role in the development and progression of cancer and it differs among lymphomas, both with respect to the composition and quantity of specific tumour-infiltrating immune cells (TICs), such as FoxP3+ regulatory T cells (Tregs). [...] Read more.
Background/Objectives: The tumour microenvironment (TME) plays an important role in the development and progression of cancer and it differs among lymphomas, both with respect to the composition and quantity of specific tumour-infiltrating immune cells (TICs), such as FoxP3+ regulatory T cells (Tregs). The role of FoxP3+ Tregs in the TME of peripheral T-cell lymphomas (PTCLs) is complex, and their impact on overall survival (OS) remains unclear. Consequently, we aim to evaluate and compare the FoxP3+ cell quantity in nodal PTCLs and reactive lymph nodes (LNs), with a focus on investigating their impact on OS. Methods: excisional lymph node (LN) biopsies from 105 nodal PTCLs and 17 reactive LNs are immunohistochemically stained for FoxP3. Visual scoring of FoxP3+ cells is performed, and different cut-off values are used to evaluate the impact of FoxP3+ cell quantity on OS. Results: FoxP3+ cells are present in the TME of all cases, except for four cases where FoxP3+ is expressed in lymphoma cells. Lower FoxP3+ cell quantities are observed in certain nodal PTCL subtypes compared to reactive LNs. Patients with high FoxP3+ cell quantities show improved OS. However, the FoxP3+ cell quantity is not confirmed as an independent prognostic biomarker. Conclusions: these findings underscore the promise of FoxP3+ cell quantities as added value in prognosis and highlight the potential benefits of Treg-stimulating therapies in PTCLs. Full article
(This article belongs to the Special Issue Treatment of Peripheral T-cell Lymphomas)
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Figure 1

Figure 1
<p>Representative images of FoxP3<sup>+</sup> cells in (<b>a</b>) reactive lymph nodes (LNs), (<b>b</b>) in the tumour microenvironment (TME) of nTFHLs-AI pattern 1, and (<b>c</b>) in the TME of nTFHLs-AI pattern 3. Scale bar = 100 µm.</p>
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<p>FoxP3 expression in the lymphoma cells in a human T-cell lymphotropic virus type 1 (HTLV-1) negative PTCL-NOS sample (P2-patients’ ID number) under 200× magnification. Scale bar= 100 µm.</p>
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<p>Comparison of FoxP3<sup>+</sup> cell quantities (median with range) between the nodal peripheral T-cell lymphoma (PTCL) cohort and the reactive LN cohort.</p>
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<p>(<b>a</b>) Quantity of FoxP3<sup>+</sup> cells (median with interquartile range) in the TME of different nodal PTCL subtypes and reactive LNs; (<b>b</b>) different nodal PTCL subtypes, with nTFHLs-AI divided into three patterns, and reactive LNs. Degrees of statistical significance: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and ns (nonsignificant).</p>
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<p>Comparison of the overall survival (OS) of all patients included in the study with high vs. low FoxP3<sup>+</sup> cell quantities: (<b>a</b>) cut-off value of 125 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on Kim et al. [<a href="#B19-cancers-16-04011" class="html-bibr">19</a>]; (<b>b</b>) cut-off value of 200 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on Lundberg et al. [<a href="#B24-cancers-16-04011" class="html-bibr">24</a>]; (<b>c</b>) cut-off value of 255 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on the median count [<a href="#B18-cancers-16-04011" class="html-bibr">18</a>,<a href="#B22-cancers-16-04011" class="html-bibr">22</a>,<a href="#B23-cancers-16-04011" class="html-bibr">23</a>] of all the analyzed samples from our cohort; (<b>d</b>) cut-off value of 400 FoxP3<sup>+</sup> cells/mm<sup>2</sup> as suggested by the testing for the nonlinear effects in our data. The <span class="html-italic">p</span>-values of statistically significant differences are provided alongside the <span class="html-italic">p</span>-values of ns differences.</p>
Full article ">Figure 5 Cont.
<p>Comparison of the overall survival (OS) of all patients included in the study with high vs. low FoxP3<sup>+</sup> cell quantities: (<b>a</b>) cut-off value of 125 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on Kim et al. [<a href="#B19-cancers-16-04011" class="html-bibr">19</a>]; (<b>b</b>) cut-off value of 200 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on Lundberg et al. [<a href="#B24-cancers-16-04011" class="html-bibr">24</a>]; (<b>c</b>) cut-off value of 255 FoxP3<sup>+</sup> cells/mm<sup>2</sup> based on the median count [<a href="#B18-cancers-16-04011" class="html-bibr">18</a>,<a href="#B22-cancers-16-04011" class="html-bibr">22</a>,<a href="#B23-cancers-16-04011" class="html-bibr">23</a>] of all the analyzed samples from our cohort; (<b>d</b>) cut-off value of 400 FoxP3<sup>+</sup> cells/mm<sup>2</sup> as suggested by the testing for the nonlinear effects in our data. The <span class="html-italic">p</span>-values of statistically significant differences are provided alongside the <span class="html-italic">p</span>-values of ns differences.</p>
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<p>Association between OS (logarithm of the relative hazard of death) and the Treg value (as a continuous variable) if the nonlinear effect were to be allowed in the model, with adjustments for diagnosis and IPI. The gray shaded area indicates the 95% confidence interval.</p>
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22 pages, 4833 KiB  
Article
An M/G/1 Queue with Repeated Orbit While in Service
by Gabi Hanukov, Yonit Barron and Uri Yechiali
Mathematics 2024, 12(23), 3722; https://doi.org/10.3390/math12233722 - 27 Nov 2024
Viewed by 330
Abstract
Orbit and retrial queues have been studied extensively in the literature. A key assumption in most of these works is that customers “go to orbit” when they are blocked upon arrival. However, real-life situations exist in which customers opt to go to orbit [...] Read more.
Orbit and retrial queues have been studied extensively in the literature. A key assumption in most of these works is that customers “go to orbit” when they are blocked upon arrival. However, real-life situations exist in which customers opt to go to orbit to efficiently use their orbit time rather than residing dormant at the service station while waiting for their service to be completed. This paper studies such a system, extending the scope of traditional orbit and retrial queues. We consider an M/G/1 queue where customers repeatedly go to orbit while their service remains in progress. That is, if a customer’s service is not completed by within a specified “patience time”, the customer goes to orbit for a random “orbit time”. When the customer orbits, the server continues rendering her/his service. If, on return, the service is already completed, the customer leaves the system. Otherwise, s/he waits for another patience time. This policy is repeated until service completion. We analyze such an intricate system by applying the supplementary variable technique and using Laplace–Stieltjes transforms. Performance measures are derived, and a comparison analysis is provided between various service time distributions. Full article
(This article belongs to the Special Issue Queueing Systems Models and Their Applications)
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Figure 1
<p>The flow scheme of the system.</p>
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<p><math display="inline"><semantics> <mi>ξ</mi> </semantics></math>, <math display="inline"><semantics> <mi>ω</mi> </semantics></math>, and <math display="inline"><semantics> <mi>ψ</mi> </semantics></math> as a function of <math display="inline"><semantics> <mi>α</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mi>ξ</mi> </semantics></math>, <math display="inline"><semantics> <mi>ω</mi> </semantics></math>, and <math display="inline"><semantics> <mi>ψ</mi> </semantics></math> as a function of <math display="inline"><semantics> <mi>β</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>D</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>α</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>D</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>μ</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>α</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>V</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>β</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>H</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>α</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>H</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>μ</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>O</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>α</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>O</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>β</mi> </semantics></math>.</p>
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<p><math display="inline"><semantics> <mrow> <mi>E</mi> <mo stretchy="false">[</mo> <msub> <mi>O</mi> <mrow> <mi>d</mi> <mi>i</mi> <mi>s</mi> </mrow> </msub> <mo stretchy="false">]</mo> </mrow> </semantics></math> as a function of <math display="inline"><semantics> <mi>μ</mi> </semantics></math>.</p>
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12 pages, 1762 KiB  
Article
Exploring the Spectrum of Comorbidities Associated with Primary Aldosteronism: Insights from a Large Real-World Case-Control Study
by Andreas Krieg, Sarah Krieg, Andreas Heuser, Ulrich Laverenz, Valentin-Alin Istrate, Matthias Schott and Karel Kostev
Biomedicines 2024, 12(11), 2479; https://doi.org/10.3390/biomedicines12112479 - 29 Oct 2024
Viewed by 782
Abstract
Background: Primary aldosteronism (PA) is a common cause of endocrine hypertension, characterized by excessive aldosterone secretion leading to hypertension, hypokalemia, and metabolic alkalosis. While historically diagnosed based on this classic triad of symptoms, current understanding reveals a more nuanced presentation. This study [...] Read more.
Background: Primary aldosteronism (PA) is a common cause of endocrine hypertension, characterized by excessive aldosterone secretion leading to hypertension, hypokalemia, and metabolic alkalosis. While historically diagnosed based on this classic triad of symptoms, current understanding reveals a more nuanced presentation. This study aimed to investigate the prevalence of PA-associated diseases in a large German population. Methods: Medical records from the IQVIATM Disease Analyzer database were analyzed retrospectively. PA patients (n = 860) were matched with non-PA individuals (n = 4300) by age and sex. Associations between PA and predefined chronic diseases were examined using multivariable logistic regression. Results: PA was significantly associated with hypokalemia (7.8% vs. 1.6%, odds ratio (OR): 3.45; 95% confidence intervals (CIs): 2.41–4.96), hypertension (56.1% vs. 28.5%; OR: 2.37; 95% CIs: 2.00–2.81), hepatic steatosis (11.3% vs. 3.0%; OR: 1.85; 95% CIs: 1.34–2.57), gout (8.3% vs. 2.2%; OR: 1.64; 95% CIs: 1.15–2.35), chronic kidney disease (6.3% vs. 2.2%; OR: 1.59; 95% CIs: 1.10–2.31), diabetes mellitus not otherwise specified (7.9% vs. 2.9%; OR: 1.49; 95% CIs: 1.06–2.09), obesity (13.5% vs. 5.1%; OR: 1.38; 95% CIs: 1.05–1.82), and depression (14.8% vs. 6.2%; OR: 1.37; 95% CIs: 1.07–1.77). Conclusions: While the study design had limitations, including reliance on ICD codes for diagnosis, these findings underscore the critical need for early detection and personalized management strategies for PA to reduce associated risks and improve patient outcomes. Full article
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Figure 1
<p>Stepwise selection of eligible study patients.</p>
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<p>Prevalence of different disorders documented within 12 months prior to the index date. * A direct association between PA and gout could not be found in patients who were not treated with spironolactone.</p>
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<p>Prevalence of different disorders documented within 12 months prior to the index date (individuals with PA versus individuals with hypertension and without PA).</p>
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20 pages, 2631 KiB  
Article
The Detailed Analysis of Polish Patients with Non-Small Cell Lung Cancer Through Insights from Molecular Testing (POL-MOL Study)
by Dariusz M. Kowalski, Magdalena Zaborowska-Szmit, Maciej Bryl, Agnieszka Byszek, Dariusz Adam Dziedzic, Piotr Jaśkiewicz, Renata Langfort, Maciej Krzakowski, Tadeusz Orłowski, Rodryg Ramlau and Sebastian Szmit
Int. J. Mol. Sci. 2024, 25(21), 11354; https://doi.org/10.3390/ijms252111354 - 22 Oct 2024
Cited by 1 | Viewed by 1090
Abstract
Molecular testing is recommended in patients with metastatic non-small cell lung cancer (NSCLC), but the extent of its use in Poland is unknown. The aim of the POL-MOL study was to investigate the frequency of using molecular testing in Polish patients with NSCLC. [...] Read more.
Molecular testing is recommended in patients with metastatic non-small cell lung cancer (NSCLC), but the extent of its use in Poland is unknown. The aim of the POL-MOL study was to investigate the frequency of using molecular testing in Polish patients with NSCLC. The invited Polish oncologists completed two questionnaires, and data for 1001 patients undergoing systemic treatment for NSCLC were collected. The use of molecular tests for the following genetic mutations was recorded: EGFR (del19, sub21), EGFR (other than del19/sub21), EGFR T790M, ALK (expression and rearrangement), RET, NTRK, ROS1, BRAF, HER2, and MET, as well as for immunochemical assessment of programmed cell death ligand 1 (PD-L1). Thanks to the weighting procedure, the results are representative of the population of Polish patients treated for NSCLC. Molecular tests were applied in 78% of patients with NSCL, 70% of patients with NSCLC not otherwise specified, and in 12% of patients with squamous cell carcinoma of the lung. The frequency of application increased with disease stage in all groups. In patients with squamous cell carcinoma, approximately 30% of tests for EGFR, ALK, and RET mutations were positive, which confirms the importance of testing at least a preselected subgroup of patients. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Treatment of Non-small Cell Lung Cancer)
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Figure 1
<p>Frequency of molecular and PD-L1 testing in all NSCLC patients and patient subgroups classified by cancer type.</p>
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<p>Frequency of molecular testing with disease stage in NSCLC patients and patient subgroups classified by cancer type: (<b>a</b>) All NSCLC patients, (<b>b</b>) Non-squamous patients, (<b>c</b>) Squamous cell patients, (<b>d</b>) NOS patients.</p>
Full article ">Figure 2 Cont.
<p>Frequency of molecular testing with disease stage in NSCLC patients and patient subgroups classified by cancer type: (<b>a</b>) All NSCLC patients, (<b>b</b>) Non-squamous patients, (<b>c</b>) Squamous cell patients, (<b>d</b>) NOS patients.</p>
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<p>Proportion of performed tests in patient subgroups classified by cancer type.</p>
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<p>Proportion of positive results relative to the number of molecular tests performed in patient subgroups classified by cancer type.</p>
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<p>Proportion of positive results relative to the number of patients in patient subgroups classified by cancer type.</p>
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<p>Methods used for molecular testing of patients with adenocarcinoma.</p>
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22 pages, 2639 KiB  
Article
Overlapping Gene Expression and Molecular Features in High-Grade B-Cell Lymphoma
by Katharina D. Faißt, Cora C. Husemann, Karsten Kleo, Monika Twardziok and Michael Hummel
J. Mol. Pathol. 2024, 5(4), 415-436; https://doi.org/10.3390/jmp5040028 - 30 Sep 2024
Viewed by 1046
Abstract
Aggressive B-cell lymphoma encompasses Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and, as per the 2016 WHO classification, high-grade B-cell lymphoma (HGBL) not otherwise specified (NOS) and HGBL double/triple hit (DH/TH). However, the diagnostic distinction of HGBL from BL and DLBCL is [...] Read more.
Aggressive B-cell lymphoma encompasses Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and, as per the 2016 WHO classification, high-grade B-cell lymphoma (HGBL) not otherwise specified (NOS) and HGBL double/triple hit (DH/TH). However, the diagnostic distinction of HGBL from BL and DLBCL is difficult by means of histology/immunostaining in a substantial number of patients. This study aimed to improve subtyping by the identification of molecular features of aggressive B-cell lymphomas, with a specific focus on HGBL. To this end, we performed a comprehensive gene expression and mutational pattern analysis as well as the detection of B-cell clonality of 34 cases diagnosed with BL (n = 4), DLBCL (n = 16), HGBL DH (n = 8), and HGBL NOS (n = 6). Three distinct molecular subgroups were identified based on gene expression, primarily influenced by MYC expression/translocation and cell proliferation. In HGBL, compared to BL, there was an upregulation of PRKAR2B and TERT. HGBL DH exhibited elevated expression of GAMT and SMIM14, while HGBL NOS showed increased expression of MIR155HG and LZTS1. Our gene mutation analysis revealed MYC, ARID1A, BCL2, KMT2D, and PIM1 as the most affected genes in B-cell lymphoma, with BCL2 and CREBBP predominant in HGBL DH, and MYC and PIM1 in HGBL NOS. Clonality analysis of immunoglobulin heavy and light chain rearrangements did not show distinguishable V- or J-usage between the diagnostic subgroups. Full article
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Figure 1
<p>Hierarchical cluster analysis based on the expression of 298 genes with correlation to other features. The case numbers and the four histopathological entities Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), high-grade B-cell lymphoma (HGBL) double-hit (DH), and HGBL not otherwise specified (NOS) are displayed in the upper part. Fluorescence in situ hybridization (FISH) results (germinal center B-cell like (GCB) or non-GCB), MYC expression, proliferative activity (Ki-67 index), MYC, BCL2, and BCL6 translocation are presented [<a href="#B14-jmp-05-00028" class="html-bibr">14</a>] as well.</p>
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<p>Pairwise hierarchical cluster analysis based on the gene expression of the 298 genes. The comparison of diffuse large B-cell lymphoma (DLBCL) vs. Burkitt lymphoma (BL) (<b>A</b>), high-grade B-cell lymphoma (HGBL) double-hit (DH) vs. DLBCL (<b>B</b>), HGBL DH vs. BL (<b>C</b>) and HGBL not otherwise specified (NOS) vs. HGBL DH (<b>D</b>) is shown. The heatmaps represent hierarchical cluster analysis as well as expression strengths, which are associated with the hue or color intensity. A blue hue indicates strong expression, while a red hue indicates weak expression. The case numbers are plotted on the horizontal axis, and the ten differentially expressed genes are plotted on the vertical axis.</p>
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<p>Mutational analysis of aggressive B-cell lymphoma. (<b>A</b>,<b>B</b>) The type of detected variants is shown for each histological subtype (<b>A</b>) and as a distribution of the detected mutations sorted by gene (<b>B</b>). In two cases (Cases 46 and 48), PIM1 was hypermutated and is highlighted in shaded gray. (<b>C</b>,<b>D</b>) Bar charts show the percentage of cases with alterations in <span class="html-italic">MYC</span>, <span class="html-italic">ARID1A</span>, <span class="html-italic">KMT2D</span>, <span class="html-italic">BCL2</span>, <span class="html-italic">HIST1H1E</span>, <span class="html-italic">PIM1</span>, <span class="html-italic">TP53</span>, <span class="html-italic">CREBBP</span>, <span class="html-italic">GNA13</span>, <span class="html-italic">SOCS1</span>, and <span class="html-italic">CD79B</span> according to the diagnostic subtypes (<b>C</b>) compared to the gene expression groups (<b>D</b>). (BL, <span class="html-italic">n</span> = 4; DLBCL, <span class="html-italic">n</span> = 16; HGBL DH, <span class="html-italic">n</span> = 8; HGBL NOS, <span class="html-italic">n</span> = 6).</p>
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<p>Hierarchical cluster analysis, molecular characteristics [<a href="#B14-jmp-05-00028" class="html-bibr">14</a>] and results from the mutation analysis. The case numbers and the four histopathological entities Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), high-grade B-cell lymphoma (HGBL) double-hit (DH), and HGBL not otherwise specified (HGBL NOS) are displayed in the upper part. Fluorescence in situ hybridization (FISH) results (germinal center B-cell like (GCB) or non-GCB), <span class="html-italic">MYC</span> expression, proliferative activity (Ki-67 index), <span class="html-italic">MYC</span>, <span class="html-italic">BCL2</span>, and <span class="html-italic">BCL6</span> translocation are presented as well and partially depicted from our publication Yamashita et al., 2020 [<a href="#B14-jmp-05-00028" class="html-bibr">14</a>]. Identified mutations that are classified as pathogenic or likely pathogenic are highlighted in dark gray.</p>
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<p>V-/D-/J-IG segment usage of the clonal or most dominant IG heavy chain rearrangements. Presented are all clonal or dominant rearrangement patterns with different functionalities, including productive (VJ), unproductive (VJ), or incomplete (DJ) rearrangements. Cases with no or minor dominant B-cell clones were excluded in this diagram (Case 10 and Case 68) (BL, <span class="html-italic">n</span> = 4; DLBCL, <span class="html-italic">n</span> = 15; HGBL DH, <span class="html-italic">n</span> = 7; HGBL NOS, <span class="html-italic">n</span> = 6).</p>
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<p>V-/J-IG segment usage of the clonal or most dominant IG light chain rearrangements. Presented are all clonal or dominant rearrangements with different functionalities, including productive, potentially productive, and unproductive rearrangements. Cases with no or minor dominant B-cell clones were excluded in this diagram (Case 10 and Case 68). (BL, <span class="html-italic">n</span> = 4; DLBCL, <span class="html-italic">n</span> = 15; HGBL DH, <span class="html-italic">n</span> = 7; HGBL NOS, <span class="html-italic">n</span> = 6).</p>
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8 pages, 367 KiB  
Article
Predictors of Transition from Child and Adolescent Bipolar Not Otherwise Specified to Bipolar I Disorder, a Longitudinal 3.9-Year Study
by María Ribeiro-Fernández, Azucena Díez-Suárez, Kiki D. Chang and Cesar A. Soutullo
J. Clin. Med. 2024, 13(19), 5656; https://doi.org/10.3390/jcm13195656 - 24 Sep 2024
Viewed by 704
Abstract
Background: Children and adolescents with subthreshold manic symptoms not meeting full DSM criteria for bipolar I or II disorder (BP-I or BP-II) are classified as unspecified bipolar disorder (formerly bipolar not otherwise specified: BP-NOS). Factors associated with transition from BP-II or NOS to [...] Read more.
Background: Children and adolescents with subthreshold manic symptoms not meeting full DSM criteria for bipolar I or II disorder (BP-I or BP-II) are classified as unspecified bipolar disorder (formerly bipolar not otherwise specified: BP-NOS). Factors associated with transition from BP-II or NOS to BP-I may predict the progression of the disorder. Our objective is to analyze factors associated with transition to BP-I in a Spanish sample of youth with BP-NOS or BP-II. Methods: We included all youth diagnosed with BP before 18 years of age presenting to our clinic (October 1999–December 2014). We assessed clinical factors that may predict transition to BP I with a logistic regression and a multivariable model for data analysis. Results: A total of 72 patients with BP, mean (SD) age 14.5 (10.5–16.0) years, were followed for a median period of 3.9 years. In total, 95.8% of patients retained the BP diagnosis, but they changed type. Baseline BP-I % was 37.5%, and 62.5% at endpoint. BP-NOS decreased from baseline 54.2% to 25% at endpoint. The % of BP-II was 8.3% in both time points, but they were not the same individual patients, as some transitioned from BP-II to BP-I and some BP-NOS changed to BP-II. BP-NOS was stable in 46.1% of patients, but 38.5% transitioned to BP-I over time. Psychotic symptoms during prior depressive episodes (MDD) increased the risk of transition to BP-I by 11-fold. Each individual symptom of mania increased the risk of transition to BP-I by 1.41. Conclusions: BP-NOS was stable in 46.1% of patients, but 38.5% transitioned to BP-I over time. Psychotic symptoms during prior MDD episodes increased the risk of transition from BP-NOS to BP-I. Full article
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<p>% patients who converted from baseline BP-NOS (N = 39) to BP-I, BP-II, continued as BP-NOS, or recovered over a 3.9-year (47-month) follow-up period (from a total sample of 72 children and adolescents with bipolar disorder).</p>
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10 pages, 4398 KiB  
Article
Deregulation and Shattering of Chromosomal Segments Containing Multiple Oncogenic Targets in the Pathogenesis of Diffuse Large B Cell Lymphoma, Not Otherwise Specified (DLBCL, NOS)
by Ashwini K. Yenamandra, Rebecca B. Smith, Adam C. Seegmiller, Brianna N. Smith, Debra L. Friedman and Christine M. Smith
DNA 2024, 4(3), 318-327; https://doi.org/10.3390/dna4030021 - 18 Sep 2024
Viewed by 994
Abstract
Diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS) is the most common type of non-Hodgkin lymphoma (NHL). Significant efforts have been focused on utilizing advanced genomic technologies to further subclassify DLBCL, NOS into clinically relevant subtypes. These efforts have led to [...] Read more.
Diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS) is the most common type of non-Hodgkin lymphoma (NHL). Significant efforts have been focused on utilizing advanced genomic technologies to further subclassify DLBCL, NOS into clinically relevant subtypes. These efforts have led to the implementation of novel algorithms to support optimal risk-oriented therapy and improvement in the overall survival of DLBCL patients. The pathogenesis of DLBCL at the molecular level indicates copy number variation (CNV) as one of the major forms of genetic alterations in the somatic mutational landscape. Random deregulation that results in complex breaks of chromosomes and restructuring of shattered chromosomal segments is called chromothripsis. Gene expression changes influenced by chromothripsis have been reported in cancer and congenital diseases. This chaotic phenomenon results in complex CNV, gene fusions, and amplification and loss of tumor suppressor genes. We present herein a summary of the most clinically relevant genomic aberrations, with particular focus on copy number aberrations in a case that highlights DLBCL, NOS arising from relapsed Hodgkin lymphoma. The focus of our study was to understand the relationship between the clinical, morphological, and genomic abnormalities in DLBCL, NOS through multiple techniques for therapeutic considerations. Full article
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<p>Abnormal male karyotype.</p>
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<p>FISH with <span class="html-italic">IGH</span> (14q32)/<span class="html-italic">BCL2</span> (18q21), <span class="html-italic">MYC</span> (8q24.1), and <span class="html-italic">BCL6</span> (3q27) probes. (<b>A</b>) Green color—<span class="html-italic">IGH</span> Red color—<span class="html-italic">BCL2</span>, no rearrangement of <span class="html-italic">IGH/BCL2</span>, note amplification with approximately 10 copies in 47% of cells. (<b>B</b>) <span class="html-italic">BCL6</span> breakpart probe—No rearrangement. (<b>C</b>) <span class="html-italic">MYC</span>—breakpart probe, no rearrangement, note three intact copies in 8% of cells.</p>
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<p>Whole genome view—losses and gains of copy numbers 2, 3, 8, 11, 13, and 18.</p>
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<p>Amplification of <span class="html-italic">KMT2A</span> (11q23) (~10 copies) adjacent gains (blue arrow) and mosaic loss (red arrow).</p>
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<p>cnLOH of chromosome 17p (<span class="html-italic">TP53</span>).</p>
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<p>Amplification of <span class="html-italic">BCL2</span> at 18q21.</p>
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<p>Chromosome 8p11.21—<span class="html-italic">ZMAT4</span> (zinc finger, matrin type 4)~5 copies [<a href="#B17-dna-04-00021" class="html-bibr">17</a>].</p>
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<p>Amplification of 13q31.3q32.1, <span class="html-italic">GPC5</span>~4 copies, <span class="html-italic">GPC6</span>~7 copies.</p>
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15 pages, 2823 KiB  
Article
Whole Exome Sequencing of Intermediate-Risk Acute Myeloid Leukemia without Recurrent Genetic Abnormalities Offers Deeper Insights into New Diagnostic Classifications
by Francesca Guijarro, Sandra Castaño-Díez, Carlos Jiménez-Vicente, Marta Garrote, José Ramón Álamo, Marta Gómez-Hernando, Irene López-Oreja, Jordi Morata, Mònica López-Guerra, Cristina López, Sílvia Beà, Dolors Costa, Dolors Colomer, Marina Díaz-Beyá, Maria Rozman and Jordi Esteve
Int. J. Mol. Sci. 2024, 25(16), 8669; https://doi.org/10.3390/ijms25168669 - 8 Aug 2024
Viewed by 1097
Abstract
Two new diagnostic classifications of acute myeloid leukemia (AML) were published in 2022 to update current knowledge on disease biology. In previous 2017-edition categories of AML with myelodysplasia-related changes, AML was not otherwise specified, but AML with mutated RUNX1 experienced profound changes. We [...] Read more.
Two new diagnostic classifications of acute myeloid leukemia (AML) were published in 2022 to update current knowledge on disease biology. In previous 2017-edition categories of AML with myelodysplasia-related changes, AML was not otherwise specified, but AML with mutated RUNX1 experienced profound changes. We performed whole exome sequencing on a cohort of 69 patients with cytogenetic intermediate-risk AML that belonged to these diagnostic categories to correlate their mutational pattern and copy-number alterations with their new diagnostic distribution. Our results show that 45% of patients changed their diagnostic category, being AML myelodysplasia-related the most enlarged, mainly due to a high frequency of myelodysplasia-related mutations (58% of patients). These showed a good correlation with multilineage dysplasia and/or myelodysplastic syndrome history, but at the same time, 21% of de novo patients without dysplasia also presented them. RUNX1 was the most frequently mutated gene, with a high co-occurrence rate with other myelodysplasia-related mutations. We found a high prevalence of copy-neutral loss of heterozygosity, frequently inducing a homozygous state in particular mutated genes. Mild differences in current classifications explain the diagnostic disparity in 10% of patients, claiming a forthcoming unified classification. Full article
(This article belongs to the Special Issue Molecular Pathology Research on Blood Tumors)
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<p>Alluvial plots showing the redistribution of cases according to new classifications. For each diagnostic category (squared boxes), the number of patients following the same classification is indicated in each flow path. (<b>a</b>) Reclassification of patients with acute myeloid leukemia (AML) from the World Health Organization Classification of Hematolymphoid Tumors published in 2017 (WHO17) to the version published in 2022 (WHO22); (<b>b</b>) reclassification of patients from WHO17 to International Consensus Classification of 2022 (ICC22). Other abbreviations: AML-MRC, AML with myelodysplasia-related changes; AML-NOS, AML not otherwise specified; RUNX1m, AML with <span class="html-italic">RUNX1</span> mutation; AML-MR, AML myelodysplasia-related; AML-NUP98, AML with <span class="html-italic">NUP98</span> rearrangement; AML-TP53m, AML with <span class="html-italic">TP53</span> mutation.</p>
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<p>Oncoplot of all variants found in 79 genes in the whole cohort (<span class="html-italic">n</span> = 69), including variants of unknown significance, likely oncogenic and oncogenic variants. The panel below shows the correspondence of every case with each diagnostic classification (WHO17, WHO22, and ICC22).</p>
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<p>Oncogenic or likely oncogenic <span class="html-italic">RUNX1</span> mutations found in 26 patients from the whole cohort. (<b>a</b>) Mutation type and location displayed according to WHO17 diagnostic category: AML-MRC (<span class="html-italic">n</span> = 10) (upper part) or AML-RUNX1m (lower part); (<b>b</b>) variant allele frequency (VAF) distribution of <span class="html-italic">RUNX1</span> mutations for each diagnostic category. Cases with VAF &gt; 50% are tagged in black (when copy-number analysis could be done on that sample) or in gray (when the copy-number analysis could not be performed). The three cases with 21q CN-LOH are also marked.</p>
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<p>Pattern of co-occurrence and mutual exclusivity of the 20 genes mutated (oncogenic or likely oncogenic variants) in at least four patients from the whole cohort. See in brackets the number of mutated cases for each gene.</p>
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<p>Copy-number alterations of 45 patients with paired tumor-normal DNA. Copy-neutral loss of heterozygosity (<b>a</b>) and gains (<b>b</b>, upper panel) and losses (<b>b</b>, lower panel) in autosomal chromosomes are shown in different colors according to the WHO17 diagnostic category.</p>
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32 pages, 41999 KiB  
Review
Special Types of Breast Cancer: Clinical Behavior and Radiological Appearance
by Marco Conti, Francesca Morciano, Silvia Amodeo, Elisabetta Gori, Giovanna Romanucci, Paolo Belli, Oscar Tommasini, Francesca Fornasa and Rossella Rella
J. Imaging 2024, 10(8), 182; https://doi.org/10.3390/jimaging10080182 - 29 Jul 2024
Viewed by 2152
Abstract
Breast cancer is a complex disease that includes entities with different characteristics, behaviors, and responses to treatment. Breast cancers are categorized into subgroups based on histological type and grade, and these subgroups affect clinical presentation and oncological outcomes. The subgroup of “special types” [...] Read more.
Breast cancer is a complex disease that includes entities with different characteristics, behaviors, and responses to treatment. Breast cancers are categorized into subgroups based on histological type and grade, and these subgroups affect clinical presentation and oncological outcomes. The subgroup of “special types” encompasses all those breast cancers with insufficient features to belong to the subgroup “invasive ductal carcinoma not otherwise specified”. These cancers account for around 25% of all cases, some of them having a relatively good prognosis despite high histological grade. The purpose of this paper is to review and illustrate the radiological appearance of each special type, highlighting insights and pitfalls to guide breast radiologists in their routine work. Full article
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<p>Invasive lobular carcinoma in a 53-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique mammograms of the left breast show an architectural distortion in the upper-outer quadrant, (<b>c</b>) corresponding to an irregular-shaped hypoechoic lesion with spiculated margins on ultrasound. (<b>d</b>) Axial and (<b>e</b>) sagittal T1-weighted fat-suppressed dynamic contrast-enhanced MRI images reveal an irregular mass with spiculated margins in the upper-outer quadrant.</p>
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<p>Invasive lobular carcinoma in a 78-year-old patient. Contrast-enhancement mammography: (<b>a</b>) low-energy cranio-caudal and (<b>c</b>) medio-lateral oblique images of the left breast show a high-density irregular mass, (<b>b</b>,<b>d</b>) corresponding to an area of mass enhancement on the recombined images (white arrow). Recombined images highlight the presence of three satellite nodules (white arrowheads), demonstrating the multicentricity of the disease. (<b>e</b>) US image shows an irregular hypoechoic mass with spiculated margins corresponding to the primary lesion, indicated by the white arrow in (<b>b</b>,<b>d</b>).</p>
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<p>Tubular carcinoma. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique 2D synthetic mammograms (<b>c</b>), cranio-caudal and (<b>d</b>) medio-lateral oblique DBT images, and (<b>e</b>) spot compression view of the left breast showing a small opacity (<b>f</b>) corresponding to a hypoechoic mass with non-circumscribed margins on ultrasound.</p>
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<p>Mucinous carcinoma in a 58-year-old patient presenting with a right-breast lump on clinical examination. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique mammograms of the right breast show an oval-shaped mass with circumscribed margins at the junction of the upper and lower outer quadrants (<b>c</b>) corresponding to a hypoechoic lesion on ultrasound. (<b>d</b>) Axial T2-weighted MRI image shows multiple areas of high signal intensity within the mass corresponding to the mucinous content. (<b>e</b>) Axial T1-weighted fat-suppressed dynamic contrast-enhanced MRI image demonstrates a heterogeneous internal enhancement.</p>
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<p>Mucinous carcinoma in a 56-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique 2D synthetic mammograms; (<b>c</b>) cranio-caudal and (<b>d</b>) medio-lateral oblique DBT images of the left breast show a solid mass with circumscribed margins (<b>e</b>) corresponding on US to a mass with circumscribed margins and acoustic enhancement that could mimic a benign lesion (e.g., fibroadenoma).</p>
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<p>Breast MRI of a 45-year-old patient with a mucinous carcinoma of the right breast. (<b>a</b>) Axial T2-weighted MRI image shows multiple mass-like lesions tightly bound one to each other, one in continuity with the skin, characterized by internal areas of high signal intensity. (<b>b</b>) Axial T1-weighted fat-suppressed contrast-enhanced dynamic image demonstrates a heterogeneous internal enhancement.</p>
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<p>Mucinous cystadenocarcinoma in a 40-year-old patient. US image showing a complex cystic mass with a solid isoechoic component.</p>
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<p>Medullary carcinoma in a 60-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique 2D synthetic mammograms, (<b>c</b>) cranio-caudal DBT image, (<b>d</b>) medio-lateral oblique DBT image and (<b>e</b>) spot compression view of the left breast showing an oval-shaped opacity in the upper-outer quadrant (<b>f</b>) corresponding to an oval-shaped homogeneous hypoechoic mass on ultrasound.</p>
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<p>Papillary carcinoma in a 49-year-old patient. Contrast-enhancement mammography: low-energy (<b>a</b>) cranio-caudal and (<b>c</b>) medio-lateral oblique images of the right breast show a high-density mass, apparently oval-shaped (only partially included), at the junction of the upper and lower outer quadrants. Some microcalcifications are visible within the mass. (<b>b</b>–<b>d</b>) The mass corresponds to an area of enhancement on the recombined images.</p>
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<p>Papillary carcinoma in a 59-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique mammograms of the left breast show a round opacity in the lower-inner quadrant (<b>c</b>) corresponding on ultrasound to a complex cystic mass with a solid anterior component. A fluid−fluid level is visible inside the cyst due to the bleeding produced during the biopsy procedure. (<b>d</b>) Axial 3D gradient echo T1-weighted post-contrast MRI image of the left breast shows the enhancement of the solid component of the lesion.</p>
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<p>Micropapillary carcinoma in a 75-year-old patient. US image shows a round hypoechoic mass with non-circumscribed margins.</p>
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<p>Apocrine carcinoma in a 61-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique DBT images of the left breast show a small, irregularly shaped opacity in the lower-inner quadrant (<b>c</b>) corresponding to a hypoechoic mass with non-circumscribed margins on ultrasound.</p>
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<p>Metaplastic carcinoma in a 43-year-old patient. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique mammograms of the right breast show a high-density mass with indistinct margins predominantly located in the upper-outer quadrant and (<b>c</b>) corresponding to an iso-hypoechoic mass with partially indistinct margins and cystic components on ultrasound.</p>
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<p>Metaplastic carcinoma in a 40-year-old patient. (<b>a</b>) Medio-lateral oblique mammogram of the right breast shows a high-density mass, only partially included, with indistinct margins in the upper quadrant in the posterior third. Surgical clips from a previous surgery are visible. The cranio-caudal projection is not presented because the mass was not visible on it due to its position. (<b>b</b>) On ultrasound, it corresponds to a hypoechoic mass with irregular margins. (<b>c</b>) Axial T2-weighted MRI image shows high-signal-intensity areas within the mass corresponding to necrotic components, and (<b>d</b>) axial 3D gradient echo T1-weighted post-contrast MRI image demonstrates a ringlike uptake.</p>
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<p>Solid-basaloid variant of adenoid cystic carcinoma. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique 2D synthetic mammograms, (<b>c</b>) cranio-caudal and (<b>d</b>) medio-lateral oblique DBT images of the right breast show a round opacity with circumscribed margins in the upper-outer quadrant (<b>e</b>,<b>f</b>) corresponding to a hypoechoic mass with cystic components on ultrasound. (<b>g</b>) Axial T2-weighted fat-suppressed MRI image shows high signal from the cystic components, and (<b>h</b>) axial T1-weighted fat-suppressed dynamic contrast-enhanced MRI image demonstrates the enhancement of the solid component.</p>
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<p>Solid-basaloid variant of adenoid cystic carcinoma. (<b>a</b>) Cranio-caudal and (<b>b</b>) medio-lateral oblique 2D synthetic mammograms, (<b>c</b>) cranio-caudal and (<b>d</b>) medio-lateral oblique DBT images of the right breast show a round opacity with circumscribed margins in the upper-outer quadrant (<b>e</b>,<b>f</b>) corresponding to a hypoechoic mass with cystic components on ultrasound. (<b>g</b>) Axial T2-weighted fat-suppressed MRI image shows high signal from the cystic components, and (<b>h</b>) axial T1-weighted fat-suppressed dynamic contrast-enhanced MRI image demonstrates the enhancement of the solid component.</p>
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21 pages, 7006 KiB  
Review
Myelodysplastic/Myeloproliferative Neoplasms with Features Intermediate between Primary Myelofibrosis and Chronic Myelomonocytic Leukemia: Case Series and Review of the Entity
by Arturo Bonometti, Simone Zanella, Daoud Rahal, Chiara Milanesi, Rossella Caselli, Matteo Giovanni Della Porta, Silvia Uccella and Sara Fraticelli
Hemato 2024, 5(3), 230-250; https://doi.org/10.3390/hemato5030019 - 7 Jul 2024
Viewed by 1018
Abstract
Diagnosis of myeloid neoplasm is currently performed according to the presence of a predetermined set of clinical, morphological, and molecular diagnostic criteria agreed upon by a consensus of experts. Even strictly adhering to these criteria, it is possible to encounter patients who present [...] Read more.
Diagnosis of myeloid neoplasm is currently performed according to the presence of a predetermined set of clinical, morphological, and molecular diagnostic criteria agreed upon by a consensus of experts. Even strictly adhering to these criteria, it is possible to encounter patients who present features that are not easily ascribable to a single disease category. This is the case, e.g., of patients with de novo myeloid neoplasms with features intermediate between primary myelofibrosis (PMF) and chronic myelomonocytic leukemia (CMML). In this study, we retrospectively searched the pathological database of IRCCS Humanitas Research Hospital to identify cases of chronic myeloid neoplasm with monocytosis with a driver mutation of classic myeloproliferative neoplasms (MPN) and showing morphological MPN features. For each case, we assessed all epidemiological, clinical, histopathological, and molecular data. Then, we carried out a literature review, searching for cases with features similar to those of our patients. We retrieved a total of 13 cases presenting such criteria (9 from the literature review and 4 from our institution); in all of them, there was a coexistence of clinical, histopathological, and molecular myelodysplastic and myeloproliferative features. To date, according to current classifications (World Health Organization and International Consensus Classification), given the presence/absence of essential features for PMF or CMML, these patients should be formally diagnosed as myelodysplastic/myeloproliferative neoplasm unclassified/not otherwise specified (U/NOS). This review aims to summarize the features of these difficult cases and discuss their differential diagnosis and their classification according to the novel classifications and the existing literature on overlapping myeloid neoplasms. Full article
(This article belongs to the Section Chronic Myeloid Disease)
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<p>Histopathological features of case #1. The bone marrow biopsy was hypercellular ((<b>A</b>), HE 50×), with myeloid expansion and an increased number of megakaryocytes, often in clusters ((<b>B</b>), HE 200×), and morphological dyserythropoiesis ((<b>C</b>), Giemsa 200×). At immunohistochemical evaluation, despite a low number of CD34+ precursors. The same staining revealed an increase in microvessel density. ((<b>D</b>), CD34, 200×), The number of CD14+ monocytes was also increased ((<b>E</b>), CD14, 200×). Bone marrow fibrosis grade 1 was also observed ((<b>F</b>), Gömöri, 50×).</p>
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<p>Histopathological features of case #2. The bone marrow biopsy showed hypercellularity ((<b>A</b>), HE 100×), with atypical megakaryocytes, ((<b>B</b>), HE 400×). At immunohistochemical evaluation, the microvessel density was highly increased ((<b>C</b>), CD34, 50×). Megakaryocytes were small, with hypolobated nuclei, and often in clusters ((<b>D</b>), CD61, 50×), and the number of CD14+ monocytes was high ((<b>E</b>), CD14, 200×). Bone marrow fibrosis grade 1 was observed ((<b>F</b>), Gömöri, 50×).</p>
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<p>Histopathological features of case #3. The bone marrow biopsy showed a 100% cellularity ((<b>A</b>), HE 100×), with myeloid hyperplasia with left-shifting and enlarged blood vessels with intrasinusoidal hematopoiesis ((<b>B</b>), HE, 50×). Giemsa stains revealed marked morphological and topographic dyserythropoiesis ((<b>C</b>), 400×). Immunohistochemistry highlighted the presence of clusters of atypical megakaryocytes ((<b>D</b>), CD61, 100×), while the number of CD14+ monocytes was only minimally increased ((<b>E</b>), 100×). Reticulin fibrosis was grade 2 ((<b>F</b>), Gömöri, 50×).</p>
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<p>Histopathological features of case #4. The bone marrow was highly hypercellular with prominent osteosclerosis ((<b>A</b>), HE 50×) and enlarged sinusoids ((<b>B</b>), HE, 100x). CD34 stains revealed a normal number of precursors ((<b>C</b>), 50×), while CD14 showed a marked increase of monocytes ((<b>D</b>), 50×). Masson trichrome highlighted a collagen fibrosis grade 2 ((<b>E</b>), 100×) while reticulin fibrosis was grade 3 ((<b>F</b>), Gömöri, 100×).</p>
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<p>Oncoplot of recurrently mutated genes in patients with myeloid neoplasms with features intermediate between PMF and CMML with our series and are described in the literature [<a href="#B16-hemato-05-00019" class="html-bibr">16</a>,<a href="#B17-hemato-05-00019" class="html-bibr">17</a>].</p>
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<p>Kaplan-Mayer plot or patients with myeloid neoplasms with features intermediate between PMF and CMML followed in our center and retrieved from the literature [<a href="#B16-hemato-05-00019" class="html-bibr">16</a>,<a href="#B17-hemato-05-00019" class="html-bibr">17</a>].</p>
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9 pages, 3929 KiB  
Case Report
Ovarian Sex Cord Stromal Tumor in a Free-Ranging Brown Bear (Ursus arctos)
by Natalia García-Álvarez, Álvaro Oleaga, María José García-Iglesias, Claudia Pérez-Martínez, Daniel Fernández, Luis Miguel Álvarez, Ramón Balsera and Ana Balseiro
Animals 2024, 14(13), 1936; https://doi.org/10.3390/ani14131936 - 30 Jun 2024
Viewed by 977
Abstract
Reports on neoplasms in bears are scarce, especially concerning ovarian tumors. A large primary ovarian neoplasm with multiple metastasis was found during the necropsy of a 14-year-old free-ranging Eurasian brown bear (Ursus arctos) from Northwestern Spain. Histopathology and immunohistochemistry allowed for [...] Read more.
Reports on neoplasms in bears are scarce, especially concerning ovarian tumors. A large primary ovarian neoplasm with multiple metastasis was found during the necropsy of a 14-year-old free-ranging Eurasian brown bear (Ursus arctos) from Northwestern Spain. Histopathology and immunohistochemistry allowed for the diagnosis of a sex cord stromal tumor. This is a complex group of neoplasms which differ in the predominant cell morphology and immunohistochemical features. The microscopic examination revealed two types of cells, one with eosinophilic cytoplasm, intermingled with larger vacuolated cells rich in lipids. The evaluation of the immunoreactivity to different markers, frequently used in the characterization of gonadal tumors (INHA, inhibin-alpha; PLAP, placental alkaline phosphatase; Ki-67; α-SMA, actin alpha-smooth muscle) and inflammation patterns (IBA1, ionized calcium-binding adapter molecule for macrophages; CD3 for T lymphocytes; CD20 for B lymphocytes), displayed significant INHA positive immunostaining of neoplastic cells, as well as inflammatory cell infiltration, mainly composed of macrophages and B lymphocytes. These findings were consistent with a malignant ovarian steroid cell tumor, not otherwise specified. The present study characterizes an unusual type of neoplasm, and also represents the first report of an ovarian sex cord stromal tumor in Ursidae. Full article
(This article belongs to the Special Issue Disease and Health in Free-Ranging and Captive Wildlife)
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<p>Steroid cell tumor, brown bear (<span class="html-italic">Ursus arctos</span>). (<b>a</b>) The 14-year-old female shows emaciation. (<b>b</b>) Neoplastic growth can be observed in the left (20 cm in diameter) and right (5 cm in diameter) ovaries. The masses are solid, with white to yellow-brown areas, and also show hemorrhages. (<b>c</b>) Necrosis and hemorrhage are observed on a section of left ovary. (<b>d</b>) Left kidney (20 cm in diameter) has lost the normal structure on section, and only two reniculi are remaining (asterisks).</p>
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<p>Histopathological and immunohistochemical features of a steroid cell tumor in a brown bear (<span class="html-italic">Ursus arctos</span>). (<b>a</b>) Left ovary. Histological image of the tumor, in which crystals of cholesterol (asterisks), necrosis, hemorrhage (arrow), and calcification (arrowhead) can be observed. Hematoxylin and eosin (HE), ×40 magnification. (<b>b</b>) Left ovary. Detail of the two types of cells observed. Aggregates of round cells with eosinophilic cytoplasm (arrow) are intermingled with larger cells containing multivacuolated or spongy cytoplasm (arrowhead). HE, ×400 magnification. (<b>c</b>) Left ovary. Neoplastic cells showing inhibin-alpha (INHA) cytoplasmic immunoreactivity. ABC complex, ×200 magnification. (<b>d</b>) Right ovary. Subset of multinucleated giant neoplastic cells with reactivity to anti-placental alkaline phosphatase (PLAP) antibody (arrow). ABC complex, ×400 magnification.</p>
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<p>Immunohistochemical features of a steroid cell tumor in a brown bear (<span class="html-italic">Ursus arctos</span>). (<b>a</b>) Left ovary. Tumor proliferation is observed after Ki-67 immunostaining. ABC complex, ×200 magnification. Inset: Ki-67-positive cells are highlighted, and atypic mitosis is shown (arrow). (<b>b</b>) Right bronchial lymph node metastasis. IBA1 immunostained macrophages and multinucleated giant cells in the inflammatory infiltrate of the tumor are observed. Inset: Higher magnification of immunostained macrophages. Note that multinucleated giant neoplastic cells do not express IBA1. ABC complex, ×200 magnification. (<b>c</b>) Right bronchial lymph node metastasis. CD20 immunostained B lymphocytes in the inflammatory infiltrate of the tumor. ABC complex, ×400 magnification. (<b>d</b>) Right ovary. Desmoplasia and smooth muscle differentiation (arrow) are shown after Masson’s Trichrome staining, ×40 magnification. Inset: Details of multivacuolated or spongy neoplastic cells.</p>
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12 pages, 2085 KiB  
Article
Epidemiological Characteristics of Inherited Epidermolysis Bullosa in an Eastern European Population
by Alina Suru, Sorina Dănescu, Alina Călinescu-Stîncanu, Denis Iorga, Mihai Dascălu, Adrian Baican, George-Sorin Țiplica and Carmen Maria Sălăvăstru
J. Clin. Med. 2024, 13(13), 3742; https://doi.org/10.3390/jcm13133742 - 26 Jun 2024
Cited by 2 | Viewed by 2017
Abstract
Background/Objectives: Epidermolysis bullosa (EB) is a hereditary condition characterized by skin and mucosal fragility, with various degrees of severity. This study’s objectives are to obtain updated epidemiological data that will help identify the specific types and subtypes of EB, determine the case [...] Read more.
Background/Objectives: Epidermolysis bullosa (EB) is a hereditary condition characterized by skin and mucosal fragility, with various degrees of severity. This study’s objectives are to obtain updated epidemiological data that will help identify the specific types and subtypes of EB, determine the case distribution in Romania, and establish the incidence and prevalence of the condition. Methods: This population-based observational study included Romanian patients and collected data from 2012 to 2024. The following information was recorded: date of birth, status (deceased or alive), date of death (if applicable/available), sex, county, and city of residence, EB type and subtype if available, diagnosis (clinical and/or immunofluorescence mapping, transmission electron microscopy, genetic molecular analysis), affected genes, inheritance, and affected family members. Results: The study included a total of 152 patients. The point prevalence (the proportion of the population with a condition at a specific point in time) and the incidence of EB in Romania were 6.77 per million population and 24.23 per million live births, respectively. EB simplex (EBS), junctional EB (JEB), dystrophic EB (DEB), Kindler EB (KEB), and not otherwise specified EB, as well as EB (NOS), were the main types of the condition identified in 21%, 3%, 63%, 2%, and 11% of the total cases. The point prevalence and incidence for the same time intervals were 1.58 and 5.28 in EBS, 0.10 and 1.76 in JEB, 4.72 and 12.34 in DEB, 0.16 and 0 in KEB, and 0.21 and 4.85 in EB (NOS). Conclusions: The study provides updated epidemiological data for Romania and underlines the necessity for accurate diagnosis, facilitated by access to genetic molecular testing and better reporting systems. Full article
(This article belongs to the Section Dermatology)
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Graphical abstract
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<p>Main epidermolysis bullosa types and subtypes (EBS, EB simplex; JEB, junctional EB; DEB, dystrophic EB; EB (NOS), EB not otherwise specified).</p>
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<p>Type of diagnosis in epidermolysis bullosa patients (IFM, immunofluorescence mapping; TEM, transmission electron microscopy).</p>
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<p>Distribution of cases according to age split per main types of epidermolysis bullosa (DEB, dystrophic EB, EB (NOS), EB not otherwise specified; EBS, EB simplex; JEB, junctional EB; KEB, Kindler EB).</p>
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<p>Geographic distribution of epidermolysis bullosa patients in Romania with county distribution of cases.</p>
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<p>Kaplan–Meier graph illustrating survival rates for the EB patients registered since 2012 (DEB, dystrophic EB, EB (NOS), EB not otherwise specified; EBS, EB simplex; JEB, junctional EB; KEB, Kindler EB).</p>
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18 pages, 5955 KiB  
Article
Inhibition of Histone Deacetylase Activity Increases Cisplatin Efficacy to Eliminate Metastatic Cells in Pediatric Liver Cancers
by Ruhi Gulati, Yasmeen Fleifil, Katherine Jennings, Alex Bondoc, Greg Tiao, James Geller, Lubov Timchenko and Nikolai Timchenko
Cancers 2024, 16(13), 2300; https://doi.org/10.3390/cancers16132300 - 22 Jun 2024
Cited by 1 | Viewed by 1022
Abstract
The pediatric liver cancers, hepatoblastoma and hepatocellular carcinoma, are dangerous cancers which often spread to the lungs. Although treatments with cisplatin significantly improve outcomes, cisplatin may not eliminate metastasis-initiating cells. Our group has recently shown that the metastatic microenvironments of hepatoblastoma contain Cancer [...] Read more.
The pediatric liver cancers, hepatoblastoma and hepatocellular carcinoma, are dangerous cancers which often spread to the lungs. Although treatments with cisplatin significantly improve outcomes, cisplatin may not eliminate metastasis-initiating cells. Our group has recently shown that the metastatic microenvironments of hepatoblastoma contain Cancer Associated Fibroblasts (CAFs) and neuron-like cells, which initiate cancer spread from liver to lungs. In this study, we found that these cells express high levels of HDAC1; therefore, we examined if histone deacetylase inhibition improves cisplatin anti-proliferative effects and reduces the formation of tumor clusters in pediatric liver cancer metastatic microenvironments. Methods: New cell lines were generated from primary hepatoblastoma liver tumors (hbl) and lung metastases (LM) of HBL patients. In addition, cell lines were generated from hepatocellular neoplasm, not otherwise specified (HCN-NOS) tumor samples, and hcc cell lines. Hbl, LM and hcc cells were treated with cisplatin, SAHA or in combination. The effect of these drugs on the number of cells, formation of tumor clusters and HDAC1-Sp5-p21 axis were examined. Results: Both HBL and HCC tissue specimens have increased HDAC1-Sp5 pathway activation, recapitulated in cell lines generated from the tumors. HDAC inhibition with vorinostat (SAHA) increases cisplatin efficacy to eliminate CAFs in hbl and in hcc cell lines. Although the neuron-like cells survive the combined treatments, proliferation was inhibited. Notably, combining SAHA with cisplatin overcame cisplatin resistance in an LM cell line from an aggressive case with multiple metastases. Underlying mechanisms of this enhanced inhibition include suppression of the HDAC1-Sp5 pathway and elevation of an inhibitor of proliferation p21. Similar findings were found with gemcitabine treatments suggesting that elimination of proliferative CAFs cells is a key event in the inhibition of mitotic microenvironment. Conclusions: Our studies demonstrate the synergistic benefits of HDAC inhibition and cisplatin to eliminate metastasis-initiating cells in pediatric liver cancers. Full article
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<p>HepG2 cells contain a small portion of neuron-like cells that are resistant to cisplatin. (<b>A</b>) Images of HepG2 cells plated at high and low density. Arrows show cells that have the shape of neurons. (<b>B</b>) Immunostaining of HepG2 cells with β-III-tubulin. Arrows show positive cells. (<b>C</b>) HepG2 cells with the shape of neurons are resistant to cisplatin treatments. Arrows show cells that have the shape of neurons. (<b>D</b>) Western Blot analysis of proteins isolated from DMSO and cisplatin-treated HepG2 cells. Western blot of PARP1 shows that cisplatin-treated cells express PARP1 band (89 kD), a result of cleavage and an indicator of apoptosis. (<b>E</b>) mRNA expression of several pathways, including HDAC1-Sp5, hepatocyte markers, stem cells, and neuronal markers in a fresh biobank of HBL specimens (<span class="html-italic">n</span> = 42). RQ to18S shows ratios of mRNAs to the 18S RNA. (<b>F</b>) Examination of HDAC family in the biobank of pediatric liver cancers by QRT-PCR. A paired <span class="html-italic">t</span>-test was performed for background and tumor samples—**** denotes a <span class="html-italic">p</span>-value less than 0.0001. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>Tumor specimens of HBL and HCC patients have elevated HDAC1-Sp5 pathways and elevated stem cell markers and neuronal markers. (<b>A</b>) A list of HBL, HCC, and lung metastases patients, tumors of which were used for generating primary cultured cell lines. (<b>B</b>–<b>E</b>) QRT-PCR analysis of HDAC1 and Sp5 (<b>B</b>), hepatocyte markers (<b>C</b>), stem cell markers (<b>D</b>), and neuronal markers (<b>E</b>) in each patient. (<b>F</b>) Immunostaining of the original liver tumors and lung metastases with antibodies to HDAC1. 20× shows HDAC1-positive hepatocytes and fibers.</p>
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<p>Generation and general description of patient-derived cells with metastatic activities. (<b>A</b>) A diagram showing the “cell free exit” protocol for generation of cultured cells. (<b>B</b>) Examples of the exit of cells from tumors at 3 days, 1 week and 2 weeks. Arrows show exiting cells with the shape of neurons. (<b>C</b>) Examples of cell–cell interactions. Images show physical interactions between 5 and 6 cells. Arrows show cells that interact with each other. (<b>D</b>) Examples of tumor cluster formation in one week and two weeks post-plating. Arrows point to the center of a cluster under 10× magnification. (<b>E</b>) NeuN staining of the hbl cell lines at different stages of tumor cluster formation. Arrows show NeuN-positive clusters.</p>
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<p>HDAC inhibition by SAHA increases cisplatin efficacy to block proliferation of hbl cells and formation of the tumor clusters. (<b>A</b>) Generated hbl cell lines have increased levels of the HDAC1-Sp5 pathway. Western Blot of protein extracts isolated from original liver tumors (patients) and from 6 generated hbl cell lines to HDAC1, Sp5 and p21. (<b>B</b>) Staining of three cell lines hbl107, hbl109, and hbl111 to HDAC1. Arrows show an HDAC1-positive tumor cluster. (<b>C</b>,<b>D</b>) Images of tumor clusters in hbl69, hbl75, hbl92 and hbl111 cells treated with DMSO, cisplatin, SAHA and cis+SAHA at 12 days after plating cells at low-density. (<b>C</b>) Representative cell images. Arrows show cells with the shape of neurons. (<b>D</b>) Number of clusters per plate. (<b>E</b>) Western blot analysis of HDAC1, p21, NeuN and α-SMA in treated hbl cells. (<b>F</b>) Images of tumor clusters in hbl69 and hbl92 cell lines at 20 days after initiation of the protocol. 10× images show tumor clusters and individual cells that have the shape of neurons (marked by arrows). The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>Combined treatments of hbl cells with cisplatin and SAHA eliminate CAFs, while neuron-like cells are not eliminated, but are growth-arrested. Cells were plated at high density and treated for 48 h. (<b>A</b>) Images of hbl74, hbl75 and hbl92 cells treated with DMSO, cisplatin, SAHA and cis+SAHA. Scale bars are identical for all images and are shown for the plated cells. (<b>B</b>) Counting of hbl74 and hbl75 cells after treatments. ** shows <span class="html-italic">p</span> &lt; 0.01, **** shows <span class="html-italic">p</span> &lt; 0.0001. NS—not significant. (<b>C</b>) Western Blot of proteins isolated from experimental plates of hbl74 and hbl75. (<b>D</b>) Western Blot of proteins isolated from experimental plates of hbl92. (<b>E</b>) A summary of studies of hbl cells treated with cisplatin and SAHA. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>Generated hcc/hcn-nos cell lines maintained elevated HDAC1-Sp5 pathway observed in original liver tumors. (<b>A</b>) QRT-PCR analysis of HCC tumors from 4 patients. (<b>B</b>) Staining of the liver tumor of HCC84 and HCN-NOS77 patients with HDAC1. (<b>C</b>) Staining of HCC109 to HDAC1. (<b>D</b>) Staining of the liver tumor of HCN-NOS77 patient for NeuN. (<b>E</b>) Images of cells in hcn-nos77 cell line. The cells show intensive interactions with each other. Arrows show cells that have the shape of neurons. (<b>F</b>) Western Blot (<b>upper</b>) and Co-IP (HDAC1-IP, (<b>bottom</b>)) show that the generated cell lines preserved the increased HDAC1-Sp5 pathway. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>HDAC inhibition in hcc/hcn-nos cell lines increases cisplatin efficacy in eliminating cancer cells. (<b>A</b>) Images of hcn-nos77, hcc79 and hcc105 cells treated with DMSO, cisplatin, SAHA and cis+SAHA. Scale bars are identical for all images and are shown for the plated cells. (<b>B</b>) Calculations of the number of cells in each group. * shows <span class="html-italic">p</span> &lt; 0.05, ** shows <span class="html-italic">p</span> &lt; 0.01, *** shows <span class="html-italic">p</span> &lt; 0.001, **** shows <span class="html-italic">p</span> &lt; 0.0001, ***** shows <span class="html-italic">p</span> &lt; 0.00001. NS—not significant. (<b>C</b>) Western blot analysis of HDAC1, p21, NeuN and α-SMA in each cell line. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>HDAC inhibition in a lung metastasis-derived cell line increases cisplatin efficacy to eliminate metastatic cells. (<b>A</b>) Characterizations of the cancer pathways in a primary liver tumor and in two lung metastases of a patient who had five total lung metastases. QRT-PCR analysis with a background region (adjacent to tumor), with liver primary tumor (#31), and with two lung metastases (#60 and #81) are shown. (<b>B</b>) Left: An example of exit of LM81 cells from the original Lung Metastasis and staining of the exiting cells with β-III-tubulin and α-SMA. Right, examination of HDAC1-Sp5 p21 pathway in the LM81 and in the LM 81cell line. (<b>C</b>) Treatments of LM81 cells with cisplatin, SAHA, and the combination of cis+SAHA. Red text shows the number of tumor clusters on the plates with low density plating. (<b>D</b>) The number of cells on plates with LM81 cells loaded at high density. * shows <span class="html-italic">p</span> &lt; 0.05, **** shows <span class="html-italic">p</span> &lt; 0.0001. (<b>E</b>) The HDAC1-Sp5 pathway is eliminated by combined treatments with cis+SAHA. The upper part shows levels of HDAC1, Sp5 and p21; the bottom shows HDAC1-IP and Western blot to Sp5. (<b>F</b>) Western blot analysis of proteins isolated from plates treated with DMSO, cisplatin, SAHA and cis+SAHA. The filters were probed for α-SMA, β-III-tubulin and NGF. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>Treatment of LM81 cells with gemcitabine eliminates CAFs and inhibits the formation of tumor clusters and proliferation of cells. (<b>A</b>) Images of LM1 cells treated with DMSO and with 5 nM of gemcitabine. Cells were plated at low-density (<b>upper</b>) and high-density (<b>bottom</b>). (<b>B</b>) Bar graphs show calculations of high-density plated cells after treatments. ** shows <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>) A western blot was performed with proteins isolated from the 4 experimental plates for each treatment. (<b>D</b>) Summary of the treatments of LM1 cells with gemcitabine. The whole gel images of western blots can be found in <a href="#app1-cancers-16-02300" class="html-app">File S1</a>.</p>
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<p>Inhibition of HDAC activity increases the ability of cisplatin to eliminate metastatic cancer cells and reduce the tumor clusters in pediatric liver cancers. The diagram shows a summary of the results presented in this manuscript. Right images show typical images observed on the experimental plates.</p>
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13 pages, 346 KiB  
Article
Minimizing Query Frequency to Bound Congestion Potential for Moving Entities at a Fixed Target Time
by William Evans and David Kirkpatrick
Algorithms 2024, 17(6), 246; https://doi.org/10.3390/a17060246 - 6 Jun 2024
Viewed by 864
Abstract
Consider a collection of entities moving continuously with bounded speed, but otherwise unpredictably, in some low-dimensional space. Two such entities encroach upon one another at a fixed time if their separation is less than some specified threshold. Encroachment, of concern in many settings [...] Read more.
Consider a collection of entities moving continuously with bounded speed, but otherwise unpredictably, in some low-dimensional space. Two such entities encroach upon one another at a fixed time if their separation is less than some specified threshold. Encroachment, of concern in many settings such as collision avoidance, may be unavoidable. However, the associated difficulties are compounded if there is uncertainty about the precise location of entities, giving rise to potential encroachment and, more generally, potential congestion within the full collection. We adopt a model in which entities can be queried for their current location (at some cost) and the uncertainty region associated with an entity grows in proportion to the time since that entity was last queried. The goal is to maintain low potential congestion, measured in terms of the (dynamic) intersection graph of uncertainty regions, at specified (possibly all) times, using the lowest possible query cost. Previous work in the same uncertainty model addressed the problem of minimizing the congestion potential of point entities using location queries of some bounded frequency. It was shown that it is possible to design query schemes that are O(1)-competitive, in terms of worst-case congestion potential, with other, even clairvoyant query schemes (that exploit knowledge of the trajectories of all entities), subject to the same bound on query frequency. In this paper, we initiate the treatment of a more general problem with the complementary optimization objective: minimizing the query frequency, measured as the reciprocal of the minimum time between queries (granularity), while guaranteeing a fixed bound on congestion potential of entities with positive extent at one specified target time. This complementary objective necessitates quite different schemes and analyses. Nevertheless, our results parallel those of the earlier papers, specifically tight competitive bounds on required query frequency. Full article
(This article belongs to the Special Issue Selected Algorithmic Papers From FCT 2023)
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Figure 1
<p>Uncertainty regions (light grey) of four unit-radius entities (dark grey) with uncertainty ply three (witnessed by point *).</p>
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<p>A configuration of five unit radius entities. The 3-ball <math display="inline"><semantics> <mrow> <msub> <mi>B</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow> </semantics></math> of entity <math display="inline"><semantics> <msub> <mi>e</mi> <mn>2</mn> </msub> </semantics></math> is shown shaded.</p>
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<p>Illustration of Example 1. The trajectories of entities in <span class="html-italic">A</span> are in red. Those of entities in <span class="html-italic">B</span> are in blue.</p>
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