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43 pages, 2417 KiB  
Review
Targeting Immune Checkpoint Inhibitors for Non-Small-Cell Lung Cancer: Beyond PD-1/PD-L1 Monoclonal Antibodies
by Nicolas Roussot, Courèche Kaderbhai and François Ghiringhelli
Cancers 2025, 17(5), 906; https://doi.org/10.3390/cancers17050906 - 6 Mar 2025
Abstract
Non-small-cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide. Immunotherapy targeting the PD-1/PD-L1 axis has revolutionized treatment, providing durable responses in a subset of patients. However, with fewer than 50% of patients achieving significant benefits, there is a critical need [...] Read more.
Non-small-cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide. Immunotherapy targeting the PD-1/PD-L1 axis has revolutionized treatment, providing durable responses in a subset of patients. However, with fewer than 50% of patients achieving significant benefits, there is a critical need to expand therapeutic strategies. This review explores emerging targets in immune checkpoint inhibition beyond PD-1/PD-L1, including CTLA-4, TIGIT, LAG-3, TIM-3, NKG2A, and CD39/CD73. We highlight the biological basis of CD8 T cell exhaustion in shaping the antitumor immune response. Novel therapeutic approaches targeting additional inhibitory receptors (IR) are discussed, with a focus on their distinct mechanisms of action and combinatory potential with existing therapies. Despite significant advancements, challenges remain in overcoming resistance mechanisms and optimizing patient selection. This review underscores the importance of dual checkpoint blockade and innovative bispecific antibody engineering to maximize therapeutic outcomes for NSCLC patients. Full article
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<p>CTLA-4 mechanism of action. APC: antigen-presenting cell.</p>
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<p>TIGIT mechanism of action. APC: antigen-presenting cell.</p>
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<p>LAG-3 mechanism of action. APC: antigen-presenting cell; FGL1: fibrogen-like protein 1; Gal-3: galectin-3; sLAG-3: soluble LAG-3.</p>
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<p>TIM-3 mechanism of action. APC: antigen-presenting cell; Gal-9: galectin-9; PtdSer: phosphatidylserine.</p>
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<p>NKG2A mechanism of action. APC: antigen-presenting cell.</p>
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<p>CD39/CD73/adenosine pathway. Adenosine R: adenosine receptor; AMP: adenosine monophosphate; ADP: adenosine diphosphate; ATP: adenosine triphosphate; MDSC: myeloid-derived suppressor cell.</p>
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63 pages, 5843 KiB  
Review
Revolutionary Cancer Therapy for Personalization and Improved Efficacy: Strategies to Overcome Resistance to Immune Checkpoint Inhibitor Therapy
by Saud Almawash
Cancers 2025, 17(5), 880; https://doi.org/10.3390/cancers17050880 - 4 Mar 2025
Viewed by 228
Abstract
Cancer remains a significant public health issue worldwide, standing as a primary contributor to global mortality, accounting for approximately 10 million fatalities in 2020 [...] Full article
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<p>Signal Transduction Pathways of Co-inhibitory Immune Checkpoints. This figure illustrates the complex signaling pathways mediated by various co-inhibitory immune checkpoints on T cells and their interactions with the corresponding ligands on APCs and tumor cells. The immune checkpoints depicted include the following: PD-1 interacts with PD-L1 and PD-L2, CTLA-4 binds to CD80 (B7-1) and CD86 (B7-2), LAG-3 associates with Galectin 3 and MHC class II molecules, TIM-3 pairs with Galectin-9 and CEACAM1, and BTLA engages HVEM; VISTA interacts with PSGL-1; B7-H3 (CD276) interacts with TREM-LT; and TIGIT binds to CD155 (PVR) and CD112 (PVRL2). Abbreviations: PD-1, Programmed Death-1; PD-L1, Programmed Death-Ligand 1; PD-L2, Programmed Death-Ligand 2; CTLA-4, Cytotoxic T-Lymphocyte-Associated Protein 4; LAG-3, Lymphocyte-Activation Gene-3; TIM-3, T-cell Immunoglobulin and Mucin-domain containing-3; BTLA, B and T Lymphocyte Attenuator; HVEM, Herpesvirus Entry Mediator; VISTA, V-domain Ig Suppressor of T-cell Activation; PSGL-1, P-selectin glycoprotein ligand-1; TREM-LT, Triggering receptor expressed on myeloid cells (TREM)-like transcript (LT); TIGIT, T-cell Immunoreceptor with Ig and ITIM domains; PVR, Poliovirus Receptor; PVRL2, Poliovirus Receptor-like 2.</p>
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<p>Interaction between innate and adaptive immunity in response to tumor cells. (<b>A</b>) Once tumor cells are identified, DCs and macrophages conduct phagocytosis of tumor cells. They also serve as APCs, presenting tumor antigens as a component of the MHC complex on their membranes to activate T cells. T cells eradicate tumor cells. NK cells initiate the process of destroying tumor cells through direct interactions. B cells can trigger T-cell activation and perform APC functions. B cells secrete antibodies that mediate ADCC and ADCP. (<b>B</b>) Signaling cascade from the interactions of tumor cells with naïve T cells. T-cell activation and proliferation necessitate the presence of two essential signals. The initial signal is initiated when a TCR engages with an antigen displayed on the surface of a tumor cell via MHC. Without a co-stimulatory receptor, T cells either undergo deletions or become anergic (nonfunctional). The second signal occurs when CD28 receptors on T cells interact with B7 proteins found on tumor cells. These combined signals are pivotal for initiating T-cell activation and subsequent proliferation. Abbreviations: DCs, dendritic cells; APCs, antigen-presenting cells; MHC, major histocompatibility complex; ADCC, antibody-dependent cellular cytotoxicity; ADCP, antibody-dependent cellular phagocytosis; TCR, T-cell receptor.</p>
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<p>Mechanisms of immune-checkpoint signaling. (<b>A</b>) Mechanism of the CTLA-4 signaling pathway. Upon TCR engagement, intracellular vesicles containing CTLA-4 relocate to the immune synapse. Lck and ZAP-70 phosphorylate the cytoplasmic tail of CTLA-4, disrupting its intracellular transport by interfering with the interaction of AP-2. CTLA-4 inhibits T-cell activation by activating PP2A, which inhibits Akt signaling. (<b>B</b>) Mechanism of the PD-1 signaling pathway. PD-1 is phosphorylated at tyrosine residues within ITIM and ITSM on its cytoplasmic tail following TCR stimulation. Subsequently, it recruits phosphatases SHP-1 and SHP-2, which further dephosphorylate proximal signaling molecules downstream of TCR and CD28. PD-1 exerts its inhibitory effect on T-cell activation by activating PI3K via SHP-2, which inhibits Akt signaling. Abbreviations: TCR, T-cell receptor; HLA, human leukocyte antigen; mAb, monoclonal antibody; Lck, lymphocyte-specific protein tyrosine kinase; ZAP-70, ζ-chain-associated protein kinase 70; PP2A, protein phosphatase 2A; Pi, phosphorylation; AP2, activator protein 2; ITIM, immunoreceptor tyrosine-based inhibition motif; ITSM, immunoreceptor tyrosine-based switch motif; PI3K, phosphoinositide 3-kinase.</p>
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<p>Showing the development of various immune checkpoint inhibitors for various cancer treatments over time. Abbreviations: RCC, Renal cell carcinoma; HNSCC, Head and Neck Squamous Cell Carcinoma; HCC, Hepatocellular carcinoma; ESCC, Esophageal squamous cell carcinoma; NSCLC, non-small cell lung carcinoma; GC, Gastric carcinoma; CC, cervical cancer; UC, Urothelial carcinoma; TNBC, Triple-negative breast cancer; SCLC, Small Cell Lung Cancer; MCC, Merkel cell carcinoma; CRC, Colorectal carcinoma.</p>
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<p>Ligand–receptor interactions between tumor cells and activated T cells and targets for anti-PD-1 and anti-CTLA-4 therapy. T-cell activation follows sequential progression, which is typically regulated by normal immune control mechanisms. Therapeutic interventions using anti-CTLA-4, anti-PD-1, and anti-PD-L1 antibodies have been designed to disrupt this regulation, leading to beneficial outcomes. (<b>A</b>) The interaction between the CTLA-4 receptor on T cells and the CD-80 ligand (B-7 homolog) on antigen-presenting cells promotes tumor immune evasion. When an anti-CTLA-4 antibody binds to CTLA-4, it enhances T-cell activation and enables the elimination of tumor cells. (<b>B</b>) The interaction between the PD-1 receptor on T cells and the PD-L1 ligand on tumor cells results in T-cell dysfunction and tumor immune evasion. In the presence of an anti-PD-1 or anti-PD-L1 antibody, T cells are reactivated, initiating the death of tumor cells. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; PD-1, programmed cell death 1; MHC, major histocompatibility complex; TCR, T-cell receptor.</p>
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<p>Mechanisms of primary resistance. (<b>A</b>) Tumors characterized by a high mutation burden usually exhibit a more favorable response to anti-PD-1/PD-L1 therapy because they are more likely to generate immunogenic neoantigens. These neoantigens activate CD8<sup>+</sup> T cells and stimulate a robust antitumor immune response. (<b>B</b>) Tumor cells that have developed resistance to IFN-γ signaling due to primary JAK1/2 mutations may not induce PD-L1 upregulation but can still inhibit T-cell reactivity through PD-1/PD-L1-independent pathways. In addition, inactivation of IFN-γ signaling leads to reduced expression of CXCL9 and CXCL10, which are critical for T-cell recruitment. (<b>C</b>) Tumor cells with abnormal expression of antigen presentation pathway components fail to effectively present tumor antigens, thus hindering the elicitation of antitumor immunity required to eliminate cancer cells. (<b>D</b>) Within the TME, a diverse array of immunosuppressive cells can affect the efficacy of anti-PD-1/PD-L1 therapy by suppressing T-cell reactivity. Cytokines produced by tumors attract more immunosuppressive cells into the TME and promote their polarization toward a pro-tumor phenotype. (<b>E</b>) Alternative immune-checkpoint molecules are upregulated in T cells infiltrating the tumor. This upregulation, coupled with increased VEGFR signaling and TOX expression, exacerbates the activation of inhibitory signaling pathways. (<b>F</b>) Mutations in oncogenes and aberrant activation can thwart the development of an effective antitumor immune response, leading to primary resistance to immunotherapy. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; CXCL, chemokine motif (C-X-C) L ligand; IFN-γ, interferon-gamma; IFN-γ R, interferon-gamma receptor; IDO, indoleamine 2,3-dioxygenase; JAK, Janus kinase; LAG-3, lymphocyte-activation gene 3; MHC, major histocompatibility complex; MDSC, myeloid-derived suppressive cells; MAPK, mitogen-activated protein kinase; PD-1, programmed cell death 1; PD-L1, programmed death-ligand 1; PTEN, phosphatase and tensin homolog; PI3K, phosphatidylinositol 3-kinase; TOX, thymocyte selection-associated high-mobility group bOX; TCR, T-cell receptor; TGF, transforming growth factor; TIM-3, T-cell immunoglobulin and mucin-domain 3; TME, tumor microenvironment; VEGF, vascular endothelial growth factor; β2M, beta-2 microglobulin; APP, antigen processing and presentation; TAPs, transporters associated with neoantigen presentation.</p>
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<p>(<b>A</b>,<b>B</b>). Monoclonal antibodies (mAbs) have become powerful tools in cancer treatment. Notably, immune checkpoint inhibitors (ICIs) like anti-PD-L1 and anti-PD-1 mAbs have shown significant effectiveness against multiple cancers through TCRs and MHC class I. Tumor cells often resist immune checkpoint inhibitors (ICIs) due to high mutation rates in MHC class I and JAK1/2, which impair immune recognition. (<b>C</b>). Positive responses to immune checkpoint inhibitors (ICIs) are linked to increased levels of specific T lymphocyte subsets, like memory T cells. However, prolonged exposure to tumor antigens and an immunosuppressive tumor microenvironment (TME) can lead to T-cell exhaustion. Despite this, immunotherapy has been shown to trigger lasting immune responses, which can continue even after treatment ends, leading to extended antitumor effects and improved overall survival. The process of immunoediting, driven by the pressure exerted through PD-1/PD-L1 blockade, usually favors the survival of tumor cells with a heightened capacity to evade the antitumor immune response. As therapy progresses, compensatory inhibitory signaling pathways are activated, making it challenging for the PD-1/PD-L1 and CTLA-4 blockade to effectively re-energize CD8<sup>+</sup> T cells. If tumor-specific T cells fail to transition into memory T cells, the treatment response is sustained, potentially leading to disease recurrence or acquired resistance following discontinuation of therapy. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; IFN-γ, interferon-gamma; JAK, Janus kinase; MHC, major histocompatibility complex; TCR, T-cell receptor; TIM-3, T-cell immunoglobulin and mucin-domain 3; β2M, beta-2 microglobulin; ICs, immune checkpoints.</p>
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12 pages, 532 KiB  
Communication
CTLA4 Alteration and Neurologic Manifestations: A New Family with Large Phenotypic Variability and Literature Review
by Edoardo Genio, Mauro Lecca, Rachele Ciccocioppo and Edoardo Errichiello
Genes 2025, 16(3), 306; https://doi.org/10.3390/genes16030306 - 3 Mar 2025
Viewed by 161
Abstract
Cytotoxic-T-lymphocyte-antigen-4 (CTLA-4), a member of the immunoglobulin superfamily, is an essential negative regulator of immune responses that is constitutively expressed on both regulatory (Treg) and activated T cells. To date, heterozygous germline variants in CTLA4, leading to haploinsufficiency, have been associated with [...] Read more.
Cytotoxic-T-lymphocyte-antigen-4 (CTLA-4), a member of the immunoglobulin superfamily, is an essential negative regulator of immune responses that is constitutively expressed on both regulatory (Treg) and activated T cells. To date, heterozygous germline variants in CTLA4, leading to haploinsufficiency, have been associated with several immunological disorders, including hypogammaglobulinemia, multi-organ autoimmunity, lymphoproliferative disorders, and enlarged lymphoid organs. Indeed, CTLA4 carriers display highly heterogeneous clinical manifestations with a phenotypic spectrum ranging from asymptomatic carrier status to fatal autoimmunity. Here, we describe a family with autoimmune phenotypes (Hashimoto thyroiditis, psoriasiform dermatitis, celiac disease/inflammatory bowel disease, and rheumatoid arthritis), segregating across three different generations due to a recurrent missense variant [c.436G>A, p.(Gly146Arg)] in the CTLA4 gene. Interestingly, the proband showed prominent neurological manifestations, including seizures, hydrocephalus, and demyelination, which are less frequently reported in individuals with pathogenic variants in CTLA4. A detailed literature review of neurologic features that have been reported so far in CTLA4 carriers is also provided. Full article
(This article belongs to the Special Issue Genes and Variants in Human Rare Genetic Diseases)
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<p>Family pedigree showing variable immune-mediated phenotypes associated with the pathogenic heterozygous missense variant c.436G&gt;A (p.Gly146Arg) in <span class="html-italic">CTLA4</span>.</p>
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19 pages, 1097 KiB  
Review
The Role of TIM-3 in Glioblastoma Progression
by Farah Ahmady, Amit Sharma, Adrian A. Achuthan, George Kannourakis and Rodney B. Luwor
Cells 2025, 14(5), 346; https://doi.org/10.3390/cells14050346 - 27 Feb 2025
Viewed by 203
Abstract
Several immunoregulatory or immune checkpoint receptors including T cell immunoglobulin and mucin domain 3 (TIM-3) have been implicated in glioblastoma progression. Rigorous investigation over the last decade has elucidated TIM-3 as a key player in inhibiting immune cell activation and several key associated [...] Read more.
Several immunoregulatory or immune checkpoint receptors including T cell immunoglobulin and mucin domain 3 (TIM-3) have been implicated in glioblastoma progression. Rigorous investigation over the last decade has elucidated TIM-3 as a key player in inhibiting immune cell activation and several key associated molecules have been identified both upstream and downstream that mediate immune cell dysfunction mechanistically. However, despite several reviews being published on other immune checkpoint molecules such as PD-1 and CTLA-4 in the glioblastoma setting, no such extensive review exists that specifically focuses on the role of TIM-3 in glioblastoma progression and immunosuppression. Here, we critically summarize the current literature regarding TIM-3 expression as a prognostic marker for glioblastoma, its expression profile on immune cells in glioblastoma patients and the exploration of anti-TIM-3 agents in glioblastoma pre-clinical models for potential clinical application. Full article
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<p>Cells which express TIM-3 in the glioblastoma tumor micro-environment. A range of immune cell subsets, including innate (i.e., NK cells, monocytes, and macrophages) and adaptive (B cells, T cells, and Tregs) cells, have been reported to express varying levels of TIM-3 on their surface in either/both the peripheral blood of glioblastoma patients and at the tumor site. Brain cells, such as microglia and glioblastoma tumor cells, also express varying levels of TIM-3 on their surface. Created in BioRender.</p>
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<p>T cell exhaustion in a TIM-3-dependant manner. Mechanistic pathway leading to T cell exhaustion. Tumor cells and/or antigen presenting cells (APC) interact with the T cells with signal 1 consisting of antigen being presented by tumor and/or APC on their major histocompatibility complex to the T cell receptor (TCR) of the T cell. This interaction is a co-stimulatory response. Signal 2 consists of either cell surface TIM-3 ligands (i.e., phosphatidylserine (PtdSer) and carcinoembryonic antigen cell adhesion molecule 1 (CEACAM1) or soluble TIM-3 ligands (i.e., galectin-9 (Gal-9) and high mobility group protein B1 (HMGB1) binding to the TIM-3 receptor, initiating a signaling cascade. Binding of any of these ligands to the TIM-3 receptor causes the transcription factor BAT3 to be released from the cytoplasmic tail of the TIM-3 complex, leading to enhanced binding of Fyn instead, and leading to the reduction in the BAT3/Lck association. This process results in the downregulation of T cells and ultimately leads to T cell exhaustion. Created in BioRender.</p>
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<p>Therapy combinations and survival outcomes for glioblastoma patients. Monotherapy and/or dual therapy combinations (consisting of either anti-TIM-3, anti-PD-1, or stereotactic radiosurgery) has either no effect or small sub-optimal increases in survival in mice bearing glioblastoma tumors. Triple combination therapy consisting of anti-TIM-3, anti-PD-1, and stereotactic radiosurgery improves survival which is dependent on the presence of functional T cells (CD4+ and CD8+ T cells). Created in BioRender.</p>
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18 pages, 14257 KiB  
Article
Immunological Landscape of Non-Melanoma Skin Neoplasms: Role of CTLA4+IFN-γ+ Lymphocytes in Tumor Microenvironment Suppression
by Silvana Karabatić Knezović, Dora Knezović, Jelena Ban, Antonela Matana, Neira Puizina Ivić, Merica Glavina Durdov, Mladen Merćep and Irena Drmić Hofman
Medicina 2025, 61(2), 330; https://doi.org/10.3390/medicina61020330 - 13 Feb 2025
Viewed by 488
Abstract
Background and Objectives: This study explores the immunological landscapes of non-melanoma skin neoplasms (NMSNs), specifically keratoacanthoma (KA), squamous cell carcinoma (SCC), and common warts (VV). Although benign, KA shares histological similarities with low-grade SCC. The tumor microenvironment (TME) plays a key role [...] Read more.
Background and Objectives: This study explores the immunological landscapes of non-melanoma skin neoplasms (NMSNs), specifically keratoacanthoma (KA), squamous cell carcinoma (SCC), and common warts (VV). Although benign, KA shares histological similarities with low-grade SCC. The tumor microenvironment (TME) plays a key role in tumor progression, affecting angiogenesis, inflammation, and immune evasion. Viral infections, particularly human papillomavirus (HPV), are linked to NMSN development, with various HPV types identified in KA. VV, caused by HPV, serves as a comparative model due to its similar etiopathogenesis. Materials and Methods: This research examines the expression of CTLA4, a critical regulator of T-cell homeostasis, and IFN-γ, a cytokine with immunomodulatory and antiviral effects, in the TME of 41 KA, 37 SCC, and 55 VV samples using multichannel immunofluorescence. Results: The analysis revealed distinct patterns of CTLA4 and IFN-γ expression. SCC exhibited a higher prevalence of CTLA4+IFN-γ+ double-positive lymphocytes, suggesting a more immunosuppressive TME. In contrast, VV showed the highest expression of CTLA4+ cells, while both KA and VV had lower expressions of IFN-γ+ lymphocytes compared to SCC. The increased presence of CTLA4+IFN-γ+ double-positive lymphocytes in SCC suggests that the co-expression of these markers may exert a stronger effect on TME modulation than CTLA4 alone. Conclusions: These findings underscore the potential of immune profiling as a diagnostic tool to differentiate between benign and malignant lesions, such as KA and SCC. Furthermore, the presence of CTLA4+IFN-γ+ lymphocytes, particularly in SCC, may serve as a biomarker for tumor progression and a potential target for future immunotherapy strategies aimed at modulating the immune response in NMSN. Full article
(This article belongs to the Section Oncology)
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<p>Double immunofluorescent staining of CTLA4 and IFN-γ in keratoacanthoma (KA). The images were acquired using the 40× objective with a 0.75 numerical aperture. DAPI–cell nuclei are stained blue; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, green; IFN-γ—Interferon-gamma, red. Scale bar, 200 µm.</p>
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<p>Double immunofluorescent staining of CTLA4 and IFN-γ in squamous cell carcinoma (SCC). The images were acquired using the 40× objective with a 0.75 numerical aperture. DAPI–cell nuclei are stained blue; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, green; IFN-γ—Interferon-gamma, red. Scale bar, 20 µm.</p>
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<p>Double immunofluorescent staining of CTLA4 and IFN-γ in common warts (VV). The images were acquired using the 40× objective with a 0.75 numerical aperture. DAPI-cell nuclei are stained blue; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, green; IFN-γ—Interferon-gamma, red. Scale bar, 100 µm.</p>
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<p>Expression of CTLA4+, IFN-γ+, and CTLA4+IFN-γ+ cells between KA stages (intratumor characteristic sites taken together): (<b>a</b>) CTLA4+; (<b>b</b>) IFN-γ+; (<b>c</b>) CTLA4+IFN-γ+. Kruskal—Wallis test was used to calculate statistical significance. * Median (IQR)—values represent the median and interquartile range of the absolute numbers of positive cells.</p>
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<p>Comparative expression patterns of CTLA4+, CTLA4+IFN-γ+, and IFN-γ+ cells across pooled intratumor sites for (<b>a</b>) keratoacanthoma (KA); (<b>b</b>) common warts (VV); (<b>c</b>) squamous cell carcinoma (SCC). * Median (IQR)—values represent the median and interquartile range of the absolute number of positive cells.</p>
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<p>Multichannel immunofluorescent staining of CD3, CTLA4, and IFN-γ in keratoacanthoma (KA). The images are projections of z-stacks acquired with 1.27 μm steps using 20× objective and 0.5 numerical aperture. White arrowheads and circles highlight examples of triple-positive CD3+CTLA4+IFN-γ+ T lymphocytes. Hoechst 33,342 stains cell nuclei blue; CD3—cluster of differentiation 3, green; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, magenta; IFN-γ—Interferon-gamma, red. Scale bar, 50 µm.</p>
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<p>Multichannel immunofluorescent staining of CD3, CTLA4, and IFN-γ in squamous cell carcinoma (SCC). The images are projections of z-stacks acquired with 1.27 μm steps using 20× objective and 0.5 numerical aperture. White arrowheads highlight examples of triple-positive CD3+CTLA4+IFN-γ+ T lymphocytes. Hoechst 33,342 stains cell nuclei blue; CD3—Cluster of differentiation 3, green; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, magenta; IFN-γ—Interferon-gamma, red. Scale bar, 50 µm.</p>
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<p>Multichannel immunofluorescent staining of CD3, CTLA4, and IFN-γ in common warts (VV). The images are projections of z-stacks acquired with 1.27 μm steps using 20× objective with a 0.5 numerical aperture. White arrowheads highlight examples of triple-positive CD3+CTLA4+IFN-γ+ T lymphocytes. Hoechst 33,342 stains cell nuclei blue; CD3—Cluster of differentiation 3, green; CTLA4—Cytotoxic T-lymphocyte-associated protein 4, magenta; IFN-γ—Interferon-gamma, red. Scale bar, 50 µm.</p>
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10 pages, 7350 KiB  
Article
Discovery of Novel Small-Molecule Immunomodulators for Cancer Immunotherapy Using OB2C Technology
by Hsiao-Chi Wang and Tsung-Chieh Shih
J. Mol. Pathol. 2025, 6(1), 4; https://doi.org/10.3390/jmp6010004 - 8 Feb 2025
Viewed by 456
Abstract
Background/Objective: Immunomodulators play a critical role in regulating immune responses, with immunostimulatory agents enhancing cancer therapy by activating immune cells such as T cells. While immune checkpoint inhibitors (ICIs) targeting PD-1 and CTLA-4 have shown clinical success, the availability of small-molecule immunomodulators remains [...] Read more.
Background/Objective: Immunomodulators play a critical role in regulating immune responses, with immunostimulatory agents enhancing cancer therapy by activating immune cells such as T cells. While immune checkpoint inhibitors (ICIs) targeting PD-1 and CTLA-4 have shown clinical success, the availability of small-molecule immunomodulators remains limited. This study aimed to identify novel small-molecule immunomodulators using the One-Bead-Two-Compound (OB2C) library approach for potential cancer immunotherapy. Methods: A OB2C library consisting of 1,764 compounds was screened to identify small-molecule immunomodulators capable of enhancing immune responses. The bead library was incubated with Jurkat cells, which express high levels of α4β1 integrin, each and every compound-bead was uniformly covered with cells. IFN-γ production was measured as a marker of immune activation. The most potent compound was further evaluated for its effects on PBMC activation and cytolytic activity against prostate cancer cells. Tumor cell viability assays were performed to evaluate its effect on immune-mediated tumor suppression. Results: Two immunomodulators, Kib-IM-1 and Kib-IM-4, were identified from a 1764-compound OB2C library. However, only Kib-IM-4 was confirmed to induce PBMC clustering and significantly enhance IFN-γ production. In addition, Kib-IM-4 promoted immune cell activation and enhanced the cytolytic activity of PBMCs against prostate cancer cells, leading to a reduction in tumor cell viability. Conclusions: These findings highlighted Kib-IM-4’s potential as a novel small-molecule immunomodulator for cancer immunotherapy. By enhancing immune cell activation and promoting tumor cell cytolysis, Kib-IM-4 represents a promising candidate for further development in cancer treatment. Full article
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<p>Synthetic approach of library OB2C-S7. In OB2C library, R is derived from 42 carboxylic acids, isocyanates, and acyl sulfonyl chlorides. X1 comes from 42 <span class="html-small-caps">l</span>-/<span class="html-small-caps">d</span>- and unnatural amino acids. The library permutation is 1764.</p>
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<p>Development of OB2C Screening for Immunomodulator Discovery. Positive control: LLP2A beads were incubated with Jurkat cells pre-stimulated with PMA/ionomycin and Brefeldin A; negative control: LLP2A beads incubated with cells and Brefeldin A without PMA/ionomycin stimulation.</p>
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<p>Screening of immunomodulators from OB2C small molecular library. IFN-γ-positive beads (red arrow) were identified in the OB2C bead library, and positive beads were selected for chemical decoding using automatic Edman microsequencing. Compounds identified included (<b>A</b>) Kib-IM-1 and (<b>B</b>) Kib-IM-4. Immunomodulators (<b>C</b>) Kib-IM-1 and (<b>D</b>) Kib-IM-4 were resynthesized on beads to validate their immunomodulatory effects, with cells bound to all resynthesized LLS compounds stained brown. The red dotted circles in (<b>C</b>) highlighted regions without bead association, where cells did not produce IFN-γ. (<b>E</b>) Chemical structure of Kib-IM-4.</p>
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<p>Kib-IM-4 stimulates the human PBMCs to secrete cytokines. (<b>A</b>) Cell clumps formation after treatment with Kib-IM-4. (<b>A</b>) Cell clump formation after treatment with Kib-IM-4. Insets highlight differences in cell morphology and clustering between treated and untreated groups. Scale bar: 100 µm. (<b>B</b>) Quantification of PBMC colonies with diameters &gt;40 µm after 72 h of incubation with 10 µM Kib-IM-4. Data were analyzed using Student’s <span class="html-italic">t</span>-test and presented as mean ± SD (*** <span class="html-italic">p</span> &lt; 0.001). (<b>C</b>) Cytokine concentrations of IFN-γ, IL-1β, IL-2, IL-6, and TNF-α secreted by PBMCs following treatment with Kib-IM-4 at varying concentrations (10 µM, 20 µM, and 40 µM) and time, compared to the vehicle control (DMSO). PMA/Ionomycin was used as the positive control. Statistical analysis was performed using one-way ANOVA, and data are presented as mean ± SD from three independent experiments (* <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).</p>
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<p>Cytolytic activity of Kib-IM-4-stimulated PBMCs co-cultured with prostate cancer cells. (<b>A</b>) Microscopy was used to visualize interactions between the PBMCs and cancer cells. Scale bar: 20 µm. (<b>B</b>) Cytotoxic activity was quantified by measuring the survival rates of prostate cancer cell lines (PC3, DU145, LNCaP, and 22RV1) co-cultured with Kib-IM-4-stimulated PBMCs at PBMC-to-cancer cell ratios (E:T) of 2:1 and 5:1. Survival rates were determined using a cell viability assay, with untreated cancer cells set as 100%. Data were analyzed using Student’s <span class="html-italic">t</span>-test and presented as mean ± SD from three independent experiments (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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16 pages, 1335 KiB  
Review
The Relationship Between Response Rate and Survival Benefits in Randomized Immunotherapy Studies
by Aditi Jain and Justin Stebbing
Cancers 2025, 17(3), 495; https://doi.org/10.3390/cancers17030495 - 2 Feb 2025
Viewed by 794
Abstract
Understanding the relationship between the Objective Response Rate (ORR) and survival outcomes, notably Progression-Free Survival (PFS) and Overall Survival (OS), is relevant for assessing the efficacy of regimens in oncology. We evaluate the relationship between ORR, PFS and OS in immuno-oncology (IO) trials. [...] Read more.
Understanding the relationship between the Objective Response Rate (ORR) and survival outcomes, notably Progression-Free Survival (PFS) and Overall Survival (OS), is relevant for assessing the efficacy of regimens in oncology. We evaluate the relationship between ORR, PFS and OS in immuno-oncology (IO) trials. Data from 68 clinical trials submitted to the FDA were evaluated, examining immunotherapy regimens, notably immune checkpoint inhibitors such as anti-programmed death (ligand)-1 [anti-PD-(L)1], cytotoxic T-lymphocyte-associated protein-4 (CTLA-4) inhibitors and combination therapies [e.g., IO + IO, anti-PD-L1 + chemotherapy, anti-PD-L1 + CTLA-4, anti-PD-L1 + TKI (tyrosine kinase inhibitors)]. Studies were included based on their reporting of ORR, PFS, and OS. Of the 68 clinical trials reviewed, 55 were included in the analysis. The correlation between ORR and PFS was moderate across most immunotherapy regimens, indicating that ORR can serve as a useful predictor of short-term disease control. However, the correlation between ORR and OS was weaker, especially in trials including combination therapies, indicating that ORR alone may not reliably predict long-term survival outcomes. ORR predicts PFS better in first-line treatment but declines in later lines and remains a weak OS predictor overall. Differing degrees of correlation between ORR and survival metrics, particularly across treatment lines and combinations, are observed. While ORR can serve as a surrogate marker for PFS in IO trials, its utility in predicting OS is restricted and the interpretation of the relationship between ORR and PFS or OS is a key limitation. Rather, a decline in PFS with increasing ORR may reflect trial differences rather than a direct relationship. Future analyses should adopt better methodologies to capture these dynamics and focus on improving surrogate endpoints for immunotherapy to improve clinical trial design and patient outcomes. Full article
(This article belongs to the Section Cancer Immunology and Immunotherapy)
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<p>Flowchart illustrating the selection process of clinical trials for this study. NB. Flowchart created with Lucidchart.</p>
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<p>Odds ratio (ORR) and PFS hazard ratio (PFS).</p>
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<p>Odds ratio (ORR) and OS hazard ratio (OS).</p>
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<p>Optimal threshold for maximum survival benefit.</p>
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16 pages, 8936 KiB  
Article
A Low-Noise CMOS Transimpedance-Limiting Amplifier for Dynamic Range Extension
by Somi Park, Sunkyung Lee, Bobin Seo, Dukyoo Jung, Seonhan Choi and Sung-Min Park
Micromachines 2025, 16(2), 153; https://doi.org/10.3390/mi16020153 - 28 Jan 2025
Viewed by 554
Abstract
This paper presents a low-noise CMOS transimpedance-limiting amplifier (CTLA) for application in LiDAR sensor systems. The proposed CTLA employs a dual-feedback architecture that combines the passive and active feedback mechanisms simultaneously, thereby enabling automatic limiting operations for input photocurrents exceeding 100 µApp [...] Read more.
This paper presents a low-noise CMOS transimpedance-limiting amplifier (CTLA) for application in LiDAR sensor systems. The proposed CTLA employs a dual-feedback architecture that combines the passive and active feedback mechanisms simultaneously, thereby enabling automatic limiting operations for input photocurrents exceeding 100 µApp (up to 1.06 mApp) without introducing signal distortions. This design methodology can eliminate the need for a power-hungry multi-stage limiting amplifier, hence significantly improving the power efficiency of LiDAR sensors. The practical implementation for this purpose is to insert a simple NMOS switch between the on-chip avalanche photodiode (APD) and the active feedback amplifier, which then can provide automatic on/off switching in response to variations of the input currents. In particular, the feedback resistor in the active feedback path should be carefully optimized to guarantee the circuit’s robustness and stability. To validate its practicality, the proposed CTLA chips were fabricated in a 180 nm CMOS process, demonstrating a transimpedance gain of 88.8 dBΩ, a −3 dB bandwidth of 629 MHz, a noise current spectral density of 2.31 pA/√Hz, an input dynamic range of 56.6 dB, and a power dissipation of 23.6 mW from a single 1.8 V supply. The chip core was realized within a compact area of 180 × 50 µm2. The proposed CTLA shows a potential solution that is well-suited for power-efficient LiDAR sensor systems in real-world scenarios. Full article
(This article belongs to the Special Issue Silicon Photonics–CMOS Integration and Device Applications)
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<p>Block diagrams of (<b>a</b>) a typical LiDAR sensor, (<b>b</b>) the proposed LiDAR system.</p>
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<p>Block diagrams of (<b>a</b>) a conventional SF-TIA and (<b>b</b>) the proposed CTLA.</p>
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<p>(<b>a</b>) Schematic diagram of the DF-TIA and (<b>b</b>) simulated frequency responses of the DF-TIA and a conventional SF-TIA for the same bandwidth.</p>
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<p>Schematic diagram of the inverter-based active feedback TIA.</p>
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<p>(<b>a</b>) Variation of the input resistance and the transimpedance gain with respect to the values of R<sub>F1</sub> and <math display="inline"><semantics> <mrow> <mi>α</mi> </mrow> </semantics></math>, and (<b>b</b>) schematic diagram of the I-OB.</p>
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<p>(<b>a</b>) Cross-sectional view of the P<sup>+</sup>/NW/DNW APD, and (<b>b</b>) layout of the on-chip APD.</p>
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<p>Layout of the proposed CTLA.</p>
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<p>(<b>a</b>) Simulated frequency response (i.e., transimpedance gain, bandwidth, and noise current spectral density) and (<b>b</b>) phase margin characteristic of the proposed CTLA.</p>
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<p>Simulated eye-diagrams of the CTLA at 300 Mb/s data rate with input currents of (<b>a</b>) 1 μA<sub>pp</sub>, (<b>b</b>) 100 μA<sub>pp</sub>, (<b>c</b>) 500 μA<sub>pp</sub>, and (<b>d</b>) 1.5 mA<sub>pp</sub>, respectively.</p>
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<p>Simulated pulse response of the CTLA for various input currents.</p>
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<p>Simulated current pulses at the input nodes of the CTLA, SF-TIA, and DF-TIA (pulse width: 5 ns).</p>
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<p>Chip photo of the proposed CTLA and its test setup.</p>
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<p>Measured frequency response of the CTLA.</p>
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<p>Measured output noise of the CTLA.</p>
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<p>Measured eye-diagrams of the CTLA at 300 Mb/s data rate with the input currents of (<b>a</b>) 165 μA<sub>pp</sub>, (<b>b</b>) 330 μA<sub>pp</sub>, (<b>c</b>) 665 μA<sub>pp</sub>, and (<b>d</b>) 1.35 mA<sub>pp</sub>, respectively.</p>
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<p>Measured eye-diagrams of the CTLA for the 2<sup>31</sup>-1 PRBS input current of 330 µA<sub>pp</sub> at different data rates of (<b>a</b>) 100 Mb/s, (<b>b</b>) 300 Mb/s, (<b>c</b>) 500 Mb/s, and (<b>d</b>) 700 Mb/s, respectively.</p>
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<p>Measured pulse response of the CTLA for input currents of (<b>a</b>) 2 µA<sub>pp</sub>, (<b>b</b>) 100 µA<sub>pp</sub>, (<b>c</b>) 400 µA<sub>pp</sub>, and (<b>d</b>) 1 mA<sub>pp</sub>, respectively.</p>
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24 pages, 3148 KiB  
Article
The Detection of Lung Cancer Cell Profiles in Mediastinal Lymph Nodes Using a Hematological Analyzer and Flow Cytometry Method
by Iwona Kwiecień, Elżbieta Rutkowska, Agata Raniszewska, Rafał Sokołowski, Joanna Bednarek, Karina Jahnz-Różyk and Piotr Rzepecki
Cancers 2025, 17(3), 431; https://doi.org/10.3390/cancers17030431 - 27 Jan 2025
Viewed by 620
Abstract
The presence of metastases in mediastinal lymph nodes (LNs) is essential for planning lung cancer treatment and assessing anticancer immune responses. The aim of the study was to assess LNs for the presence of neoplastic cells and evaluate lung cancer-selected antigen expression. LN [...] Read more.
The presence of metastases in mediastinal lymph nodes (LNs) is essential for planning lung cancer treatment and assessing anticancer immune responses. The aim of the study was to assess LNs for the presence of neoplastic cells and evaluate lung cancer-selected antigen expression. LN aspirates were obtained during an EBUS/TBNA procedure. The cells were analyzed using a hematological analyzer and flow cytometry. It was possible to indicate the presence of cells characterized by high fluorescence connected with high metabolic activity using a hematological analyzer and to determine their non-hematopoietic origin using flow cytometry. Using these methods together, we detected very quickly a high proportion of cancer cells in LNs. We noticed that it was possible to determine a high expression of EpCAM, TTF-1, Ki67, cytokeratin, HER, and differences between non-small-cell (NSCLC) and small-cell lung cancer (SCLC) for the antigens MUC-1, CD56, HLA-DR, CD39, CD184, PD-L1, PD-L2 and CTLA-4 on tumor cells. We report, for the first time, that the detection of tumor cells in LNs with the expression of specific antigens is easy to evaluate using a hematological analyzer and flow cytometry in EBUS/TBNA samples. Such precise characteristics of non-hematopoietic cells in LNs may be of great diagnostic importance in the detection of micrometastases. Full article
(This article belongs to the Special Issue Feature Papers in Section "Cancer Biomarkers" in 2023–2024)
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<p>The graphs show the white blood cell differential channel (WDF) for neutrophils (first two graphs from the left) and for lymphocytes (last graph on the right). The first scattergram of neutrophils shows a scattergram dispersion value (NEUT-SSC) on the <span class="html-italic">x</span>-axis and the median scattergram value of the fluorescence side (NE-SFL) on the <span class="html-italic">y</span>-axis. The middle one shows the median scattergram value of the forward scattergram (NE-FSC) on the <span class="html-italic">y</span>-axis. Right: lymphocyte positional parameters scattergram showing the median scattergram value (LY-X) on the <span class="html-italic">x</span>-axis and the median scattergram value of the fluorescence side (LY-Y) on the <span class="html-italic">y</span>-axis.</p>
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<p>Dot plots with cells (probably cancer cells—green cells) from lymph node aspirates. (<b>A</b>) Dot plot of SSC vs. SFL for the WDF and WDF (EXT) channels on a Sysmex XN analyzer, showing the distribution of high-fluorescence (SFL high) cells in the lymph node aspirates. (<b>B</b>) Flow cytometer dot plots: FSC-A vs. FSC-H plot, gating the cells and thus removing clumps (greater FSC-A relative to FSC-H) and debris (very low FSC), CD45, vs. SSC-A plot, showing cell distribution against the presence of the CD45 antigen and the side-scatter (SSC) parameter (probably cancer cells: CD45- SSC+bright).</p>
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<p>Expression of selected antigens (EpCAM, MUC-1, TTF-1, Ki67, cytokeratin, and CD56) on CD45- cells (cancer cells) from EBUS/TBNA aspirates via the flow cytometry method in selected metastatic LNs.</p>
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<p>Characteristics of the study group with lung cancer in terms of the relative expression of selected antigens in affected lymph nodes (* arithmetic mean of % antigen expression). Abbreviations: EpCAM—epithelial cell adhesion molecule; MUC-1—Mucin-1; TTF-1—thyroid transcription factor-1; HER—human epidermal growth factor receptor; PD-L1—Programmed death-ligand 1—PD-L2: Programmed death-ligand 2; CTLA-4—cytotoxic T cell antigen 4.</p>
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<p>Characteristics of the study group with lung cancer in terms of the relative expression of selected antigens in affected lymph nodes (* arithmetic mean of GMF: geometric mean fluorescence of antigen expression). Abbreviations: EpCAM—epithelial cell adhesion molecule; MUC-1—Mucin-1; TTF-1—thyroid transcription factor-1; HER—human epidermal growth factor receptor; PD-L1—Programmed death-ligand 1; PD-L2—Programmed death-ligand 2; CTLA-4—cytotoxic T cell antigen 4; GMF—geometric mean fluorescence.</p>
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<p>The differences in the proportion of selected antigens (statistically significant) between patients with non-small-cell lung cancer (NSCLC) and those with small-cell lung cancer (SCLC). Data expressed as medians. * indicates statistically significant <span class="html-italic">p</span> &lt; 0.05.</p>
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58 pages, 1608 KiB  
Review
Immune Checkpoints and the Immunology of Liver Fibrosis
by Ioannis Tsomidis, Argyro Voumvouraki and Elias Kouroumalis
Livers 2025, 5(1), 5; https://doi.org/10.3390/livers5010005 - 27 Jan 2025
Viewed by 865
Abstract
Liver fibrosis is a very complicated dynamic process where several immune cells are involved. Both innate and adaptive immunity are implicated, and their interplay is always present. Multi-directional interactions between liver macrophages, hepatic stellate cells (HSCs), immune cells, and several cytokines are important [...] Read more.
Liver fibrosis is a very complicated dynamic process where several immune cells are involved. Both innate and adaptive immunity are implicated, and their interplay is always present. Multi-directional interactions between liver macrophages, hepatic stellate cells (HSCs), immune cells, and several cytokines are important for the induction and perpetuation of liver fibrosis. Detailed studies of proteomics and transcriptomics have produced new evidence for the role of individual cells in the process of liver fibrosis and cirrhosis. Most of these cells are controlled by the various immune checkpoints whose main function is to maintain the homeostasis of the implicated immune cells. Recent evidence indicates that several immune checkpoints are involved in liver fibrosis. In particular, the role of the programmed cell death protein 1 (PD-1), the programmed death-ligand 1 (PD-L1), and the role of the cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) have been investigated, particularly after the availability of checkpoint inhibitors. Their activation leads to the exhaustion of CD4+ve and CD8+ve T cells and the promotion of liver fibrosis. In this review, the current pathogenesis of liver fibrosis and the immunological abnormalities are discussed. The recent data on the involvement of immune checkpoints are identified as possible targets of future interventions. Full article
(This article belongs to the Special Issue Liver Fibrosis: Mechanisms, Targets, Assessment and Treatment)
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<p>Cellular and molecular pathogenesis of liver fibrosis. Some elements have been omitted for clarity. For details, see text. Green box miRNAs indicate enhancement of fibrosis. Red box indicates inhibition.</p>
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<p>Immune cells and mediators involved in the pathogenesis of liver fibrosis. For details, see text. Black arrows: activation of HSCs. Red arrows: inhibition of HSCs. Dotted arrow: Not investigated. DCs: dendritic cells; ILCs: innate lymphoid cells; KCs: Kupffer cells; MAITs: Mucosal-associated invariant T cells; MSCs: Mesenchymal stromal cells; Neu: Neutrophils; ROS: reactive oxygen species.</p>
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26 pages, 2360 KiB  
Review
Emerging Immunotherapies for Advanced Non-Small-Cell Lung Cancer
by Emily Wolf, Guilherme Sacchi de Camargo Correia, Shenduo Li, Yujie Zhao, Rami Manochakian and Yanyan Lou
Vaccines 2025, 13(2), 128; https://doi.org/10.3390/vaccines13020128 - 27 Jan 2025
Viewed by 994
Abstract
Lung cancer remains the leading cause of cancer-related mortality worldwide. Non-small-cell lung cancer (NSCLC) is the most common type of lung cancer, with nearly half of all patients diagnosed at an advanced stage. Immune checkpoint inhibitors (ICIs) harness the host immune system to [...] Read more.
Lung cancer remains the leading cause of cancer-related mortality worldwide. Non-small-cell lung cancer (NSCLC) is the most common type of lung cancer, with nearly half of all patients diagnosed at an advanced stage. Immune checkpoint inhibitors (ICIs) harness the host immune system to combat malignant cells. ICIs, which target programmed death-ligand 1 (PD-L1), programmed cell death 1 (PD-1), and cytotoxic T-cell lymphocyte-4 (CTLA-4), have transformed the treatment landscape for advanced NSCLC. While a subset of patients experiences a long-term durable response, most patients will develop disease progression. New drugs targeting novel pathways are being tested in clinical trials to improve the efficacy of immunotherapy and overcome resistance patterns. This review aims to summarize the currently available ICIs for advanced NSCLC and describe emerging immunotherapies with recently published data from phase I/II clinical trials. Full article
(This article belongs to the Special Issue The Development of Novel Cancer Immunotherapies and Target Antigens)
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<p>Illustration representing the mechanism of action of BV. BV depletes CD30<sup>+</sup> regulatory T cells, enhancing the activity of cytoxic T cells, and promoting the re-sensitization of anti-PD-1 therapy.</p>
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<p>Illustration demonstrating the mechanism of action of bispecific antibodies, HB0025, AFM24, acasunlimab, MCLA-145, KN046, and PM8002.</p>
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<p>Illustration demonstrating the mechanism of action of tumor-infiltrating lymphocytes. Lymphocytes isolated from the patient’s tumor are expanded in vitro. After treatment with non-myeloablative lymphodepletion chemohterapy, patients receive an infusion of TILs followed by IL-2, which enhances the expansion of TILs and the subsequent anti-tumor response.</p>
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<p>Summary of monoclonal antibodies and mechanism of action. MK-4830 is an anti-ILT4 mAb, while MK-0482 is an anti-ILT3 mAb. MK-4830 and MK-0482 block immunosuppressive activity of ILT-4 and ILT-3 receptors. Monalizumab is an anti-NKG2A mAb, which attenuates an immunsuppressive receptor on NK cells. Boserolimab is an anti-CD27 mAb, inhibiting the ability of CD27 to function as a costimulatory molecule. LBL-007 and leramilimab are mAbs targeting LAG-3, an inhibitory receptor found on T cells. IBI310 is an anti-CTLA-4 mAb. GT103 is an anti-CFH mAb, which increased activation of the alternative complement pathway.</p>
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<p>Illustration depicting the mechanism of investigational cancer vaccines, BI1361849, CAN-2409, BNT116, CCL21-DC, and PDC*lung01. BI1361849, CAN-2409, and BNT116 contain tumor associated antigens, resulting in antigen-specific immune cell expansion in the tumor following vaccine administration. CCL21-DC is a cancer vaccine containing autologous dendritic cells transduced with an adenoviral vector expressing the <span class="html-italic">CCL21</span> gene (CCL21-DC). CCL21-DC is delivered via intratumoral administration. PDC*lung01 is a cancer vaccine containing an irradiated plasmacytoid dendritic cell line with HLA-A*02-01-restricted peptides including tumor antigens associated with NSCLC.</p>
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13 pages, 678 KiB  
Review
Monoclonal Antibodies in Metastatic Gastro-Esophageal Cancers: An Overview of the Latest Therapeutic Advances
by Foteini Kalofonou, Melpomeni Kalofonou, Foteinos-Ioannis Dimitrakopoulos and Haralabos Kalofonos
Int. J. Mol. Sci. 2025, 26(3), 1090; https://doi.org/10.3390/ijms26031090 - 27 Jan 2025
Viewed by 966
Abstract
Monoclonal antibodies (mAbs) have completely changed the face of oncology over the last 50 years, and they have contributed to a major breakthrough in terms of cancer therapy. Esophageal and gastric cancers, the eighth and fifth most commonly diagnosed types of cancer worldwide, [...] Read more.
Monoclonal antibodies (mAbs) have completely changed the face of oncology over the last 50 years, and they have contributed to a major breakthrough in terms of cancer therapy. Esophageal and gastric cancers, the eighth and fifth most commonly diagnosed types of cancer worldwide, respectively, have lately, been managed more effectively, with the introduction of new therapeutic treatment strategies, especially mAbs. Combination treatments and new molecules have changed the face of the disease, while more therapies are getting approved on a daily basis. This review aims to analyse the major up-to-date clinical trials using mAbs and immunotherapy for the treatment of advanced gastro-esophageal cancers. Full article
(This article belongs to the Special Issue Immunotherapy: New Developments and Challenges)
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<p>The interaction between tumour cell receptors and the bi-specific mAbs, targeting various receptors or acting as immunoactivators.</p>
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42 pages, 2925 KiB  
Review
Detection of Circulating Tumor DNA in Liquid Biopsy: Current Techniques and Potential Applications in Melanoma
by Clara Martínez-Vila, Cristina Teixido, Francisco Aya, Roberto Martín, Europa Azucena González-Navarro, Llucia Alos, Natalia Castrejon and Ana Arance
Int. J. Mol. Sci. 2025, 26(2), 861; https://doi.org/10.3390/ijms26020861 - 20 Jan 2025
Viewed by 1189
Abstract
The treatment landscape for advanced melanoma has transformed significantly with the advent of BRAF and MEK inhibitors (BRAF/MEKi) targeting BRAFV600 mutations, as well as immune checkpoint inhibitors (ICI) like anti-PD-1 monotherapy or its combinations with anti-CTLA-4 or anti-LAG-3. Despite that, many patients [...] Read more.
The treatment landscape for advanced melanoma has transformed significantly with the advent of BRAF and MEK inhibitors (BRAF/MEKi) targeting BRAFV600 mutations, as well as immune checkpoint inhibitors (ICI) like anti-PD-1 monotherapy or its combinations with anti-CTLA-4 or anti-LAG-3. Despite that, many patients still do not benefit from these treatments at all or develop resistance mechanisms. Therefore, prognostic and predictive biomarkers are needed to identify patients who should switch or escalate their treatment strategies or initiate an intensive follow-up. In melanoma, liquid biopsy has shown promising results, with a potential role in predicting relapse in resected high-risk patients or in disease monitoring during the treatment of advanced disease. Several components in peripheral blood have been analyzed, such as circulating tumor cells (CTCs), cell-free DNA (cfDNA), and circulant tumoral DNA (ctDNA), which have turned out to be particularly promising. To analyze ctDNA in blood, different techniques have proven to be useful, including digital droplet polymerase chain reaction (ddPCR) to detect specific mutations and, more recently, next-generation sequencing (NGS) techniques, which allow analyzing a broader repertoire of the mutation landscape of each patient. In this review, our goal is to update the current understanding of liquid biopsy, focusing on the use of ctDNA as a biological material in the daily clinical management of melanoma patients, in particular those with advanced disease treated with ICI. Full article
(This article belongs to the Special Issue Molecular Basis and Progress of Immunotherapy for Melanoma)
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<p>Flow chart on how to use ctDNA in clinical decision-making in melanoma patients.</p>
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<p>ctDNA in melanoma patients: tumor-derived components in peripheral blood, DNA-based alterations and analytical sensitivity from current techniques for ctDNA analysis.</p>
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<p>BEAMing, ddPCR and NGS schematic flowchart.</p>
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15 pages, 3097 KiB  
Article
Differential Role of NKG2A/HLA-E Interaction in the Outcomes of Bladder Cancer Patients Treated with M. bovis BCG or Other Therapies
by Inmaculada Ruiz-Lorente, Lourdes Gimeno, Alicia López-Abad, Pedro López Cubillana, Tomás Fernández Aparicio, Lucas Jesús Asensio Egea, Juan Moreno Avilés, Gloria Doñate Iñiguez, Pablo Luis Guzmán Martínez-Valls, Gerardo Server, Belén Ferri, José Antonio Campillo, María Victoria Martínez-Sánchez and Alfredo Minguela
Biomedicines 2025, 13(1), 156; https://doi.org/10.3390/biomedicines13010156 - 10 Jan 2025
Viewed by 854
Abstract
Background: Immunotherapy is gaining great relevance in both non-muscle-invasive bladder cancer (NMIBC), with the use of bacille Calmette–Guerin (BCG), and in muscle-invasive BC (MIBC) with anti-checkpoint therapies blocking PD-1/PD-L1, CTLA-4/CD80-CD86, and, more recently, NKG2A/HLA-E interactions. Biomarkers are necessary to optimize the use [...] Read more.
Background: Immunotherapy is gaining great relevance in both non-muscle-invasive bladder cancer (NMIBC), with the use of bacille Calmette–Guerin (BCG), and in muscle-invasive BC (MIBC) with anti-checkpoint therapies blocking PD-1/PD-L1, CTLA-4/CD80-CD86, and, more recently, NKG2A/HLA-E interactions. Biomarkers are necessary to optimize the use of these therapies. Methods: We evaluated killer-cell immunoglobulin-like receptors (KIRs) and HLA-I genotyping and the expression of NK cell receptors in circulating T and NK lymphocytes at diagnosis in 325 consecutive BC patients (151 treated with BCG and 174 treated with other therapies), as well as in 648 patients with other cancers and 973 healthy donors as controls. The proliferation and production of cytokines and cytotoxicity were evaluated in peripheral blood mononuclear cells, stimulated in vitro with anti-CD3/CD28 or BCG, from selected patients based on HLA-B −21M/T dimorphism (NKG2A ligands). Results: The HLA-B −21M/T genotype showed opposing results in BC patients treated with BCG or other therapies. The MM genotype, compared to MT and TT, was associated with a longer 75th-percentile overall survival (not reached vs. 68.0 ± 13.7 and 52.0 ± 8.3 months, p = 0.034) in BCG, but a shorter (8.0 ± 2.4 vs. 21.0 ± 3.4 and 19.0 ± 4.9 months, p = 0.131) survival in other treatments. The HLA-B −21M/T genotype was an independent predictive parameter of the progression-free survival (HR = 2.08, p = 0.01) and the OS (HR = 2.059, p = 0.039) of BC patients treated with BCG, together with age and tumor histopathologic characteristics. The MM genotype was associated with higher counts of circulating CD56bright, fewer KIR2DL1/L2+ NK cells, and lower NKG2A expression, but not with differential in vitro NK cell functionality. Conclusions: The HLA-B −21M/T is independently associated with BC patient outcomes and can help to optimize the use of new immunotherapies in these patients. Full article
(This article belongs to the Special Issue The Role of NK Cells in Health and Diseases)
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<p>Functional assays of NK and T cells. Peripheral blood mononuclear cells were cultured in vitro with no-stimulation (unstimulated) or stimulated with anti-CD3/CD28 or BCG during 144 h to evaluate the following: (<b>A</b>) cell proliferation (CFSE-low cells) in CD3 + CD4 + (dark green) and CD3 + CD8 + (pale green) T lymphocytes as well as in CD56<sup>dim</sup> (blue) and CD56<sup>high</sup> (red) NK cells and noT-noNK cell subsets (orange); and (<b>B</b>) cytotoxicity against K562, T24 and J82 cell lines at different effector (green) to target (pale blue: alive and dark blue: dead) ratios. In both cases, a hierarchical and logical gating strategy was used in order to identify the corresponding cell subsets.</p>
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<p>Clinical, biological, therapeutic and evolutionary (Kaplan–Meier and Log rank tests) characteristics of the study groups.</p>
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<p>KIR2DL3/C1 is the only interaction associated with susceptibility to BC and patient outcome. (<b>A</b>) The frequency of known NK cell receptor/ligand interactions in the study groups. (<b>B</b>) Kaplan–Meier and log-rank tests for progression-free survival and overall survival according to the presence of KIR3DS1 gene, KIR2DL3/C1 interactions, and HLA C1 ligands.</p>
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<p><b>The</b> HLA-B −21M/T genotype is an independent predictive parameter of the progression-free and overall survival of BC patients treated with BCG. (<b>A</b>) Kaplan–Meier and log-rank test for progression-free survival (PFS) and overall survival (OS) of patients with tumors other than bladder cancer (BC) and for patients with BC treated with BCG or other therapies according to the HLA-B −21M/T ligand genotype. (<b>B</b>) Cox regression analysis for PFS and OS of BC patients treated with BCG for age, tumor staging, grade, size, pattern, and recurrence, and in terms of HLA-B −21M/T ligand genotype.</p>
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<p>The repertoire of T lymphocytes and NK cells in peripheral blood and the expression of NK cell-activating and -inhibitory receptors of bladder cancer patients. A) The frequency of CD4+ and CD8+ T lymphocytes and CD56<sup>dim</sup> and CD56<sup>bright</sup> NK cells and the NK single-KIR<sup>+</sup> (sKIR) repertoire according to the HLA-B −21M/T ligand genotype. B) Mean fluorescence intensity (MFI) expression of activating (CD226 and CD16) and inhibitory (TIGIT and NKG2A) receptors on CD56<sup>dim</sup> and CD56<sup>bright</sup> NK cells, according to the HLA-B −21M/T ligand genotype. *, <span class="html-italic">p</span> &lt; 0.05 in the ANOVA test.</p>
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<p>The HLA-B −21M/T genotype was not associated with differential NK cell functionality after anti-CD3/CD28 or BCG in vitro stimulation. The proliferation (% of CFSE-low cells) of CD4+ and CD8+ T lymphocytes and CD56 + CD3- NK cells (<b>A</b>), cytokine secretion to the supernatant (<b>B</b>), and cytotoxicity against K562, T24, and J82 cell lines (<b>C</b>) of PBMCs stimulated with anti-CD3/CD28 (upper plots) or BCG (lower plots) according to the HLA-B −21M/T genotype.</p>
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29 pages, 2861 KiB  
Review
Advances in Cell and Immune Therapies for Melanoma
by Tanase Timis, Sanda Buruiana, Delia Dima, Madalina Nistor, Ximena Maria Muresan, Diana Cenariu, Adrian-Bogdan Tigu and Ciprian Tomuleasa
Biomedicines 2025, 13(1), 98; https://doi.org/10.3390/biomedicines13010098 - 3 Jan 2025
Viewed by 1322
Abstract
The incidence rate of cutaneous melanoma is on the rise worldwide, due to increased exposure to UV radiation, aging populations, and exposure to teratogen agents. However, diagnosis is more precise, and the increased number of new cases is related to the improved diagnosis [...] Read more.
The incidence rate of cutaneous melanoma is on the rise worldwide, due to increased exposure to UV radiation, aging populations, and exposure to teratogen agents. However, diagnosis is more precise, and the increased number of new cases is related to the improved diagnosis tools. Despite better early diagnosis and better therapies, melanoma has remained a significant public health challenge because of its aggressive behavior and high potential for metastasis. In 2020, cutaneous melanoma constituted approximately 1.3% of all cancer deaths that occurred within the European Union, thereby highlighting the necessity for effective prevention, timely diagnosis, and sustainable treatment measures, especially as a growing number of cases occur among younger patients. Melanoma is regarded as one of the most inflamed cancers due to its high immune cell presence and strong response to immunotherapy, fueling the need for development of immune-driven innovative treatments. Approved therapies, including immune checkpoint inhibitors (e.g., anti-PD-1 and anti-CTLA-4), have notably improved survival rates in melanoma. However, the limitations of the PD-1/PD-L1 and CTLA-4 axes inhibitors, such as low response rates, treatment resistance, and toxicity, have driven the need for continued research and advancements in treatment strategies. Current clinical trials are exploring various combinations of immune checkpoint inhibitors with costimulatory receptor agonists, chemotherapy, targeted therapies, and other immunotherapies, with the goal of improving outcomes and reducing side effects for melanoma patients. Emerging approaches, including adoptive cell therapy with tumor-infiltrating lymphocytes (TILs) and oncolytic virotherapy, are showing promise. While CAR-T cell therapy has been less successful in melanoma compared to blood cancers, ongoing research is addressing challenges like the tumor microenvironment and antigen specificity. This review provides an overview of the requirement for advances in these medications, to mark a significant step forward in melanoma management, set to bring a fresh breath of hope for patients. Full article
Show Figures

Figure 1

Figure 1
<p>Melanocytes shift from normal to tumor type. The UV radiation and other mutagen factors generate skin damage and induce mutations in the melanocytes’ DNA. The poor efficacy of the DNA repair mechanism allows mutation accumulation in the DNA and at high tumor mutation burden (TMB) the tumor melanocytes express neoantigens. The tumor site is prone to becoming hypoxic and new blood vessels are created which increases the proinflammatory state in the tumor microenvironment (TME) and promotes tumor cells escape and metastasis. Figure created with Biorender.</p>
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<p>Targeted therapies anti PD-1, anti PD-L1 and anti CTLA-4 (CD152) in melanoma. In the TME, the malign melanocytes interact with T cells, and the MHC binds to the antigen and TCR. In the first situation, when PD-1 binds to PD-L1, and CTLA 4 binds to CD80, the T cells will exhaust, will slow in proliferation, and will lose their killing ability. On the other hand, when antibodies designed to target PD-1, PD-L1 or CTLA 4 interact with the target, T cell activity is restored and their proliferation is stimulated, as well as their tumor killing ability.</p>
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<p>CAR T vs. BiTEs vs. TCR-T therapies in melanoma. CAR T targeting surface antigens on tumor cells. TCR-T binding to the tumor antigen presented by MHC. BiTEs engage in the interaction between T cells and tumor cells.</p>
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