Search Results (6,859)

Mammary neoplasms in dogs are a common clinical concern, especially in middle-aged and older intact females. These tumors share similarities with human breast cancer in terms of histology, disease progression, and risk factors, making dogs a relevant model for breast cancer research. The search for biomarkers in canine mammary tumors is essential to understand tumor progression and identify potential therapeutic targets. This study investigated the expression of two potential biomarkers—Inter-Alpha-Trypsin Inhibitor Heavy Chain 2 (ITIH2) and Enolase 1 (ENO1)—in the mammary glands of healthy and tumor-bearing dogs using immunohistochemistry. Both proteins were identified in previous proteomic analyses of extracellular vesicles derived from the plasma of healthy and tumor-bearing dogs. A total of fifty-one canine mammary tissue samples were analyzed and categorized into three groups: (i) the control group, composed of five samples of normal mammary tissue without neoplasia; (ii) benign tumors, composed of nineteen samples of benign mixed tumors; and (iii) malignant tumors, which included six carcinomas in grade 1 mixed tumors, five carcinomas in grade 2 mixed tumors, thirteen solid carcinomas of grade 3, one papillary carcinoma, and two tubular carcinomas. Regarding the intensity of staining, quantified by histoscore, there were no significant differences in the comparison between the groups; for ITIH2, the p-value was 0.33, and for ENO1, the p-value was 0.57. Regarding the predictive potential of their respective ROC curves, the proteins demonstrated low predictive power in canine mammary tumors. These findings indicate that neither ITIH2 nor ENO1 demonstrated strong prognostic value in this setting, as demonstrated by their moderate AUC values, wide confidence intervals, and lack of statistical significance. However, this study found distinct tissue localization patterns for ITIH2 and subcellular localization for ENO1. As an additional way to examine possible associations of these proteins with epithelial–mesenchymal transition, the ZEB1 antibody was tested by both single and double immunohistochemistry, demonstrating a tendency to be more intensely expressed in the malignant group and tending to be associated with ENO1 in canine mammary tumors. Full article

Background/Objectives: Prostate cancer (PCa) patients who do not respond to androgen deprivation therapy (ADT), referred to as castration-resistant prostate cancer (CRPC), remain a clinical challenge due to confirm the aggressive nature of CRPC and its resistance to conventional therapies. This study aims to investigate the potential of microRNAs (miRNAs) as biomarkers for predicting therapeutic response in CRPC patients. Methods: We performed miRNA and mRNA expression analyses using publicly available datasets and applied 3D cell culture models to replicate more physiologically relevant tumor conditions. Genetic analysis techniques were employed on publicly available data, and expression profiles from 3D cell culture models were examined. Results: Eighteen miRNAs with differential expression were identified between patients who responded favorably to abiraterone therapy (responders) and those with advanced CRPC (non-responders). Specifically, miRNAs such as hsa-miR-152-3p and hsa-miR-34a-3p were found to be associated with critical pathways, including TGF-β signaling and P53, which are linked to therapeutic resistance. Several miRNAs were identified as potential predictors of treatment efficacy, including therapies like abiraterone. Conclusions: These results indicate that miRNAs could serve as non-invasive biomarkers for predicting therapeutic outcomes, facilitating a more personalized approach to CRPC treatment. This study provides a novel perspective on treatment strategies for CRPC, emphasizing the role of miRNAs in improving therapeutic precision and efficacy in this complex disease. Full article

Glioblastoma (GBM) is the most aggressive brain tumor, characterized by high recurrence rates and poor patient outcomes. Treatment failure is driven by multiple factors, including complex tumor heterogeneity, the presence of cancer stem cells, the immunosuppressive tumor microenvironment (TME), and many others. GBM’s heterogeneity underlines its ability to resist therapies and adapt to the TME. The TME, which is highly immunosuppressive and shaped by hypoxia, impairs anti-tumor immunity and limits the efficacy of immunotherapy. The blood–brain barrier (BBB) remains a major obstacle to delivering sufficient drug concentrations to the tumor by restricting the penetration of therapeutic agents. Another problem is the lack of reliable biomarkers to perform better patient stratification or even guide personalized treatments, resulting in generalized therapeutic approaches that do not adequately address GBM complexities. This review highlights the multifactorial nature of GBM treatment failure and highlights the need for a paradigm shift and innovative, personalized strategies. A deeper understanding of tumor biology and advances in translational research will be crucial to developing effective therapies and improving patient outcomes in this devastating disease. Full article

The PD1/PD-L1 axis plays an important immunosuppressive role during the T-cell-mediated immune response, which is essential for the physiological homeostasis of the immune system. The biology of the immunological microenvironment is extremely complex and crucial for the development of treatment strategies for immunotherapy. Characterization of the immunological, genomic or transcriptomic landscape of cancer patients could allow discrimination between responders and non-responders to anti-PD-1/PD-L1 therapy. Immune checkpoint inhibitor (ICI) therapy has shown remarkable efficacy in a variety of malignancies in landmark trials and has fundamentally changed cancer therapy. Current research focuses on strategies to maximize patient selection for therapy, clarify mechanisms of resistance, improve existing biomarkers, including PD-L1 expression and tumor mutational burden (TMB), and discover new biomarkers. In this review, we focus on the function of the PD-1/PD-L1 signaling pathway and discuss the immunological, genomic, epigenetic and transcriptomic landscape in cancer patients receiving anti-PD-1/PD-L1 therapy. Finally, we provide an overview of the clinical trials testing the efficacy of antibodies against PD-1/PD-L1. Full article

Oral squamous cell carcinoma (OSCC) is the main form of head and neck cancer. Gap junctions (GJs) are communication channels involved in cell proliferation control; they consist of hemichannels formed by connexin (Cx) proteins. The abnormal expression/function of Cx43 has been associated with tumor progression. Also, some human papillomaviruses (HPVs) have been linked to squamous cell cancer. Therefore, this study aimed at assessing Cx43 as a potential OSCC biomarker and exploring its association with histopathological differentiation and HPV infection. OSCC samples were inspected using hematoxylin and eosin staining, and Cx43 expression and HPV 16/18 were tested by immunofluorescence. Pearson correlation tests, ANOVA, and Kaplan–Meier curves were used in the analysis. Samples from 39 patients with OSCC were studied. Most had well-differentiated histology and 61.5% were HPV+. Cx43 expression was significantly associated with HPV infection (p = 0.047), differentiation (p < 0.001), and survival (p = 0.009), and HPV positivity was also associated with the degree of differentiation (p = 0.012). Cx43 shows potential as a prognostic biomarker for OSCC. Lower Cx43 expression, correlated with poorer differentiation, is associated with an unfavorable prognosis. Further studies are needed to confirm its clinical utility. Full article

Background/Objectives: Ovarian cancer is a leading cause of gynecological cancer mortality worldwide, often diagnosed at advanced stages due to vague symptoms and the lack of effective early detection methods. Long non-coding RNAs (lncRNAs) have emerged as key regulators in cancer biology, influencing cellular processes such as proliferation, apoptosis, and chemoresistance. This review explores the multifaceted roles of lncRNAs in ovarian cancer pathogenesis and their potential as biomarkers and therapeutic targets. Methods: A comprehensive literature review was conducted to analyze the structural and functional characteristics of lncRNAs and their contributions to ovarian cancer biology. This includes their regulatory mechanisms, interactions with signaling pathways, and implications for therapeutic resistance. Advanced bioinformatics and omics approaches were also evaluated for their potential in lncRNA research. Results: The review highlights the dual role of lncRNAs as oncogenes and tumor suppressors, modulating processes such as cell proliferation, invasion, and angiogenesis. Specific lncRNAs, such as HOTAIR and GAS5, demonstrate significant potential as diagnostic biomarkers and therapeutic targets. Emerging technologies, such as single-cell sequencing, provide valuable insights into the tumor microenvironment and the heterogeneity of lncRNA expression. Conclusions: LncRNAs hold transformative potential in advancing ovarian cancer diagnosis, prognosis, and treatment. Targeting lncRNAs or their associated pathways offers promising strategies to overcome therapy resistance and enhance personalized medicine. Continued research integrating omics and bioinformatics will be essential to unlock the full clinical potential of lncRNAs in ovarian cancer management. Full article

Colorectal cancer (CRC) is the fourth most commonly diagnosed cancer and one of the leading causes of cancer death worldwide. Despite diagnostic and therapeutic advances, CRC mortality remains high, especially in industrialized countries. Numerous studies have highlighted the pathogenetic role of altered microRNA (miRNA) expression among the various factors contributing to the development and progression of colorectal cancer (CRC). However, the data regarding specific miRNAs involved in CRC pathogenesis remain inconsistent, and no miRNAs have been recognized so far as reliable or effective biomarkers for the diagnosis of this tumor type. To identify novel miRNA biomarkers in CRC, this study validated the expression levels of a four-miRNA signature predicted to be involved in CRC by analyzing both tissue and liquid biopsy samples. Our experimental and bioinformatics results highlighted the diagnostic potential of hsa-miR-21-5p, hsa-miR-503-5p, and hsa-miR-375, as well as the potential prognostic value of hsa-miR-497-5p overexpression and hsa-miR-375-3p downregulation. Overall, the results obtained suggest the diagnostic and prognostic significance of this four-miRNA signature in CRC. Full article

Background/Objectives: T cell receptor fusion constructs (TRuCs), a next generation engineered T cell therapy, hold great promise. To accelerate the clinical development of these therapies, improving patient selection is a crucial pathway forward. Methods: We retrospectively analyzed 23 mesothelioma patients (85 target tumors) treated in a phase 1/2 single arm clinical trial (NCT03907852). Five imaging sites were involved, the settings for the evaluations were Blinded Independent Central Reviews (BICRs) with double reads. The reproducibility of 3416 radiomics and delta-radiomics (Δradiomics) was assessed. The univariate analysis evaluated correlations at the target tumor level with (1) tumor diameter response; (2) tumor volume response, according to the Quantitative Imaging Biomarker Alliance; and (3) the mean standard uptake value (SUV) response, as defined by the positron emission tomography response criteria in solid tumors (PERCISTs). A random forest model predicted the response of the target pleural tumors. Results: Tumor anatomical distribution was 55.3%, 17.6%, 14.1%, and 10.6% in the pleura, lymph nodes, peritoneum, and soft tissues, respectively. Radiomics/Δradiomics reproducibility differed across tumor localizations. Radiomics were more reproducible than Δradiomics. In the univariate analysis, none of the radiomics/Δradiomics correlated with any response criteria. With an accuracy ranging from 0.75 to 0.9, three radiomics/Δradiomics were able to predict the response of target pleural tumors. Pivotal studies will require a sample size of 250 to 400 tumors. Conclusions: The prediction of responding target pleural tumors can be achieved using a machine learning-based radiomics/Δradiomics analysis. Tumor-specific reproducibility and the average values indicated that using tumor models to create an effective patient model would require combining several target tumor models. Full article

Breast cancer is one of the leading causes of mortality among women, primarily due to its complex molecular landscape and heterogeneous nature. The tendency of breast cancer patients to develop metastases poses significant challenges in clinical management. Notably, mutations in the breast cancer gene 1 (BRCA1) significantly elevate breast cancer risk. The current research endeavors employ diverse molecular approaches, including RNA, DNA, and protein studies, to explore avenues for the early diagnosis and treatment of breast cancer. Recent attention has shifted towards long non-coding RNAs (lncRNAs) as promising diagnostic, prognostic, and therapeutic targets in the multifaceted progression of breast cancer. Among these, long intergenic non-coding RNAs (lincRNAs), a specific class of lncRNAs, play critical roles in regulating various aspects of tumorigenesis, including cell proliferation, apoptosis, epigenetic modulation, tumor invasion, and metastasis. Their distinctive expression patterns in cellular and tissue contexts underscore their importance in breast cancer development and progression. Harnessing lincRNAs’ sensitivity and precision as diagnostic, therapeutic, and prognostic markers holds significant promise for the clinical management of breast cancer. However, the potential of lincRNAs remains relatively underexplored, particularly in the context of BRCA1-mutated breast cancer and other clinicopathological parameters such as receptor status and patient survival. Consequently, there is an urgent need for comprehensive investigations into novel diagnostic and prognostic breast cancer biomarkers. This review examines the roles of lincRNAs associated with BRCA1 in the landscape of breast cancer, highlighting the potential avenues for future research and clinical applications. Full article

Colorectal cancer (CRC) remains the second most lethal cancer worldwide, with incidence rates expected to rise substantially by 2040. Although biomarker-driven therapies have improved treatment, responses to standard chemotherapeutics, such as 5-fluorouracil (5-FU), oxaliplatin, and irinotecan, vary considerably. This clinical heterogeneity emphasizes the urgent need for novel biomarkers that can guide therapeutic decisions and overcome chemoresistance. microRNAs (miRNAs) have emerged as key post-transcriptional regulators that critically influence chemotherapy responses. miRNAs orchestrate post-transcriptional gene regulation and modulate diverse pathways linked to chemoresistance. They influence drug transport by regulating ABC transporters and affect metabolic enzymes like thymidylate synthase (TYMS). These activities shape responses to standard CRC chemotherapy agents. Furthermore, miRNAs can regulate the epithelial–mesenchymal transition (EMT). The miR-200 family (e.g., miR-200c and miR-141) can reverse EMT phenotypes, restoring chemosensitivity. Additionally, miRNAs like miR-19a and miR-625-3p show predictive value for chemotherapy outcomes. Despite these promising findings, the clinical translation of miRNA-based biomarkers faces challenges, including methodological inconsistencies and the dynamic nature of miRNA expression, influenced by the tumor microenvironment. This review highlights the critical role of miRNAs in elucidating chemoresistance mechanisms and their promise as biomarkers and therapeutic targets in CRC, paving the way for a new era of precision oncology. Full article

Metabolomics is a powerful tool that can be used to identify different stages in cancer development. In this study, the metabolomic profile of Lewis lung carcinoma (LLC) was characterized in C57BL/6 mice bearing LLC tumors. Magnetic resonance spectroscopy (nuclear magnetic resonance—NMR) was applied using a 400 MHz ¹H NMR spectrometer. Two types of metabolites (polar and non-polar) were identified on LLC based on the analysis of methanol/water and chloroform extracts collected from lung cancer samples in mice. The investigated metabolomics show that the neoplastic processes of growing LLC on mice may affect carbohydrate; alanine and glutamate; leucine and isoleucine; lysine; creatine; and choline metabolism, whereas hypoxia states were identified due to elevated lactate in lung cancer tissues. The metabolomic profile of Lewis lung carcinoma could be considered to be a valuable biomarker in translational lung cancer research. Full article

The liquid biopsy has gained significant attention in cancer diagnostics, with circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) being recognized as key biomarkers for tumor detection and monitoring. However, each biomarker possesses inherent limitations that restrict its standalone clinical utility, such as the rarity and heterogeneity of CTCs and the variable sensitivity and specificity of ctDNA assays. This highlights the necessity of integrating both biomarkers to maximize diagnostic and prognostic potential, offering a more comprehensive understanding of the tumor biology and therapeutic response. In this review, we summarize clinical studies that have explored the combined analysis of CTCs and ctDNA as biomarkers, providing insights into their synergistic value in diverse tumor types. Specifically, this paper examines the individual advantages and limitations of CTCs and ctDNA, details the findings of combined biomarker studies across various cancers, highlights the benefits of dual biomarker approaches over single-biomarker strategies, and discusses future prospects for advancing personalized oncology through liquid biopsies. By offering a comprehensive overview of clinical studies combining CTCs and ctDNA, this review serves as a guideline for researchers and clinicians aiming to enhance biomarker-based strategies in oncology and informs biosensor design for improved biomarker detection. Full article

Background: Platinum-based chemotherapy (Plt-ChT) remains a cornerstone treatment for metastatic urothelial carcinoma (mUC). The nectin-4-targeting antibody–drug conjugate enfortumab vedotin (EV), in combination with immune checkpoint inhibitors, has expanded first-line treatment options. However, biomarkers to guide treatment selection are lacking. Membranous nectin-4 (mNectin-4) expression, a potential marker of EV efficacy, has not been fully explored in the context of Plt-ChT. Methods: We retrospectively analyzed 96 patients with mUC treated with first-line gemcitabine plus cisplatin or carboplatin (GC/GCarbo) and classified mNectin-4 expression using immunohistochemical staining as either high (histochemical score (H-score): 100–300, mNectin-4^High) or low (H-score: 0–99, mNectin-4^Low). Results: Among these patients, 54.1% exhibited mNectin-4^High tumors, which were associated with bladder-origin tumors, a pure urothelial carcinoma histology, de novo presentation, and lymph node-only metastasis. The mNectin-4^High subgroup showed a non-significant trend toward better outcomes, including response rate (46.1% vs. 36.3%; p = 0.32), median progression-free survival (7.0 months vs. 4.0 months; adjusted p = 0.06), and median overall survival (20.0 months vs. 8.8 months; adjusted p = 0.06), compared with the mNectin-4^Low subgroup. The subgroup analysis revealed that the favorable outcomes for mNectin-4^High tumors were predominantly observed in the GC cohort, which was not evident in the GCarbo cohort. Conclusions: Our study suggests a non-significant trend toward improved outcomes with first-line Plt-ChT in patients with mNectin-4^High tumors, particularly with the GC regimen. Larger prospective studies are warranted to validate mNectin-4 as a potential predictive biomarker for mUC treatment. Full article

Introduction: Prostate cancer, notably prostate adenocarcinoma (PARD), has high incidence and mortality rates. Although typically resistant to immunotherapy, recent studies have found immune targets for prostate cancer. Stratifying patients by molecular subtypes may identify those who could benefit from immunotherapy. Methods: We used single-cell and bulk RNA sequencing data from GEO and TCGA databases. We characterized the tumor microenvironment at the single-cell level, analyzing cell interactions and identifying fibroblasts linked to mitophagy. Target genes were narrowed down at the bulk transcriptome level to construct a PARD prognosis prediction nomogram. Unsupervised consensus clustering classified PARD into subtypes, analyzing differences in clinical features, immune infiltration, and immunotherapy. Furthermore, the cellular functions of the genes of interest were verified in vitro. Results: We identified ten cell types and 160 mitophagy-related single-cell differentially expressed genes (MR-scDEGs). Strong interactions were observed between fibroblasts, endothelial cells, CD8⁺ T cells, and NK cells. Fibroblasts linked to mitophagy were divided into six subtypes. Intersection of DEGs from three bulk datasets with MR-scDEGs identified 26 key genes clustered into two subgroups. COX regression analysis identified seven prognostic key genes, enabling a prognostic nomogram model. High and low-risk groups showed significant differences in clinical features, immune infiltration, immunotherapy, and drug sensitivity. In prostate cancer cell lines, CAV1, PALLD, and ITGB8 are upregulated, while CLDN7 is downregulated. Knockdown of PALLD significantly inhibits the proliferation and colony-forming ability of PC3 and DU145 cells, suggesting the important roles of this gene in prostate cancer progression. Conclusions: This study analyzed mitophagy-related genes in PARD, predicting prognosis and aiding in subtype identification and immunotherapy response analysis. This approach offers new strategies for treating prostate cancer with specific molecular subtypes and helps develop potential biomarkers for personalized medicine strategies. Full article

Lipopolysaccharide (LPS), a key component of Gram-negative bacterial membranes, plays a central role in the pathogenesis of inflammatory liver diseases. In this review, we aimed to explore the role of LPS in hepatic injury. Upon hepatic infiltration, LPS activates Kupffer cells via toll-like receptor 4 (TLR4) signaling, inducing proinflammatory cytokines such as tumor necrosis factor-α and interleukin-1β. These mediators amplify hepatocyte apoptosis, endothelial damage, and platelet aggregation, thereby contributing to sinusoidal thrombosis and tissue ischemia. Pathological features, such as hepatocyte shrinkage, sinusoidal expansion, and fibrin deposition, are hallmark indicators of LPS-induced hepatic inflammation. Therapeutically, aspirin shows promise for attenuating cytokine release, protecting endothelial integrity, and reducing thrombogenesis. Emerging strategies include targeting TLR4 pathways, modulating the gut–liver axis, and utilizing biomolecular approaches such as RNA interference for LPS suppression. The integration of public health interventions, such as dietary optimization and microbiome regulation, offers additional preventive measures. In this review, the dual roles of LPS in inflammation and thrombosis have been emphasized. Advancing our understanding of LPS-driven mechanisms and enhancing treatment strategies are pivotal for managing hepatic inflammation and its systemic implications. Future research should focus on refining biomarkers, optimizing therapeutic efficacy, and addressing safety concerns for clinical applications. Full article