Aim: Validate the association RAD18 Arg302Gln (rs373572) and OGG1 Ser326Cys (rs1052133) - with Renal Cell Carcinoma (RCC) susceptibility and histopathological characterization.

To comprehensively characterize the clinical and genomic landscapes of PIK3CA, AKT1, and PTEN alterations and examine their functional and therapeutic implications in AKT-driven breast cancer.

MammaPrint (MP), a 70-gene expression profile assay, informs treatment decisions in early-stage breast cancer by classifying patients into high or low risk of recurrence categories. However, racial disparities in breast cancer outcomes necessitate an evaluation of MP's prognostic utility across diverse populations. This study explores differences in MP scores and associated outcomes among women of various racial backgrounds.

Hepatopancreatobiliary (HPB) cancers-including hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), pancreatic ductal adenocarcinoma (PDAC), and gallbladder cancer-are aggressive malignancies with limited treatment options and poor prognosis. The emergence of personalized liquid biopsy technologies, particularly bespoke circulating tumor DNA (ctDNA), offers new opportunities for improving clinical management. Traditional methods like imaging and tumor markers may miss early recurrence or evolving disease. This study explores the real-world application of ctDNA in HPB cancers, focusing on its use for surveillance, diagnostic clarification, treatment monitoring, and recurrence detection.

Bladder cancer is prevalent worldwide; however, the detailed mechanisms underlying its initiation and progression remain incompletely understood. This study aimed to investigate the expression levels of long noncoding RNA activated by transforming growth factor-β (lncRNA-ATB) and microRNA-200c (miR-200c) in tumor tissues of patients with bladder cancer and to explore their association with clinicopathologic features.

The incidence of hepatocellular carcinoma (HCC) is increasing each year, with challenges such as increasing drug resistance and a high post-treatment recurrence rate. Therefore, investigating the novel pathogenic mechanisms is warranted. In this study, we investigated novel molecular mechanisms that affect HCC progression. Immunofluorescence analysis, immunohistochemical staining, and immunoblotting were performed to assess elevated IGF-1R expression in HCC cells. The EdU incorporation and colony formation assays revealed that IGF-1R promotes HCC cell proliferation. Furthermore, wound healing and Transwell migration assays revealed that IGF-1R phosphorylation enhances the migration of HCC cells. In addition, JC-1 apoptosis assays revealed that IGF-1R inhibits HCC cell apoptosis. Immunoblotting was performed to assess the protein phosphorylation level of Akt/GSK-3β downstream of IGF1/IGF-1R to explore the molecular mechanism. IGF-1R expression was significantly increased in HCC cells, and ligand-induced phosphorylation promoted HCC cell proliferation and migration and inhibited apoptosis. Additional studies revealed that the activation of IGF-1R phosphorylation promotes epithelial-mesenchymal transition in HCC cells by increasing the phosphorylation levels of Akt and GSK-3β. Collectively, our study findings suggest that IGF-1/IGF-1R promotes HCC progression by activating the Akt/GSK-3β pathway.

M2-like macrophages play a critical role in breast cancer progression. Although JMJD3 is reported to play a significant role in M2-like macrophage polarization, its precise mechanism remains unclear. By using PMA, IL-4, and IL-13, we successfully induced THP-1 cells into M2-like macrophages, which subsequently promoted breast cancer cell proliferation and inhibited apoptosis, accompanied by increased JMJD3 expression. We demonstrated that JMJD3 enhances M2-like macrophage polarization: knockdown of JMJD3 decreased the M2-like macrophage gene expression, while overexpression of JMJD3 produced the opposite effects. Furthermore, JMJD3 promoted M2-like macrophage polarization through the STAT6/IRF4 axis. Knockdown of JMJD3 abrogated IL-4/IL-13 induced IRF4 expression, while overexpression of JMJD3 upregulated IRF4 expression. Inhibition of STAT6 downregulated the expression of JMJD3, IRF4, and M2-like macrophage marker genes. Additionally, inhibiting JMJD3 and STAT6 in macrophages increased cell apoptosis and decreased cell viability in breast cancer cells, while JMJD3 overexpression exhibited pro-tumor activity. In conclusion, our findings highlight the role of JMJD3 in regulating M2-like macrophage polarization and its impact on breast cancer development through the STAT6/IRF4 axis.

We aimed to analyze the correlation between radiomic features of pulmonary invasive mucinous adenocarcinoma (PIMA), abnormal expression of the FoxM1 and Sox9 genes, and pathological characteristics of the tumor.

Integrating spatial omics with artificial intelligence is likely to advance biomarker research and diagnostics, with the potential to pair mechanistic insight into spatial target biology. By developing scalable, reproducible quantification in routine pathology, it can help bridge discovery, validation, and real-world clinical implementation.

Pharmacological reversal of abnormal promoter DNA hypermethylation at tumor suppressor genes (TSGs) is a key therapeutic paradigm for cancer management. However, the clinical efficacy of currently approved nucleoside analog hypomethylating agents (HMAs) is limited by dose-dependent toxicity and high resistance rates. Nonnucleoside, DNA methyltransferase 1 (DNMT1)-selective inhibitors offer a promising alternative. To date, only limited chemotypes, exemplified by the dicyanopyridine derivative GSK3685032 (GSK5032), have demonstrated translatable DNMT1 inhibition, with resistance emerging upon prolonged exposure. To address these limitations, we employ structure-guided scaffold hopping and chemical optimization to develop a series of DNMT1 inhibitors (DNMT1i) featuring a bicyclic 7-azaindole scaffold. We identify DMI46, a potent enzymatic DNMT1i capable of reversing cancer-specific DNA methylation abnormalities and TSG silencing, leading to robust antileukemic effects and favorable tolerability. Cryoelectron microscopy (cryo-EM) studies reveal that the 7-azaindole inhibitor exhibits enhanced intercalation into hemi-methylated CpG dyads and increased minor-groove contacts within the DNMT1/hemimethylated DNA complex compared to GSK5032. These structural features enable sustained DNMT1 targeting and significant antiproliferative activity of DMI46 in GSK5032-resistant acute myeloid leukemia (AML) cells. We also demonstrate DMI46's capacity to overcome AML resistance to nucleoside-based HMAs both in vitro and in vivo. These findings introduce a distinct DNMT1i chemotype with enhanced on-target engagement and broad applicability against HMA-resistant AML.

Copyright: © 2026 Adeyika et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Aberrant DNA methylation changes lead to abnormal gene expression that contributes to the development and progression of prostate cancer (PCa). Inquiry of genome-wide DNA methylation dataset, we identified the homeodomain pancreatic and duodenal homeobox 1 (PDX1) gene as differentially hypermethylated in PCa compared to normal prostate tissues. Immunohistochemical analysis of matched PCa and normal prostate tissues using tissue microarray showed a significant 2.33-fold (p = 0.0001) higher PDX1 protein expression in the PCa compared to the normal prostate tissues. In PCa cell lines (PC-3 and LNCaP) engineered to stably overexpress or knockdown PDX1, the ectopic PDX1 expression significantly enhanced cell proliferation and migration, whereas PDX1 knockdown suppressed these phenotypic processes. Quantitative RT-PCR and Western blot analysis demonstrated that PDX1 overexpression was associated with increased expression of key metabolic regulators; INSR, IGF1R, CXCR4, CDH2, TWIST1, and SNAI1, whereas there is decreased expression of ESR2, and TNFα. Conversely, PDX1 knockdown led to the opposite effect in expression profiles of these metabolites. Notably, these effects were more pronounced under high-glucose conditions compared to low-glucose environments. Overall, our findings suggest that PDX1 plays a tumor-promoting role in human PCa cells by influencing expression of metabolites in insulin, inflammatory, and epithelial-mesenchymal transition (EMT) signaling pathways. Given its potential role in metabolic regulation, full insights into the function of PDX1 in PCa could contribute to improved treatment and prevention strategies, particularly for men with PCa and comorbidities such as obesity and diabetes.

Copyright: © 2026 Ahmed and Núñez-Ríos. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Burgeoning technological and clinical advances have significantly reshaped glioma classification. To assess the evolution of these changes, we analyzed bibliometric data from Web of Science to explore patterns in the socio-clinical domains of glioma classification research. Using network analysis, we built a direct citation network linking articles to authors, focusing on citations. Main Path Analysis provided an overview of research evolution, Key Route Analysis identified influential papers, and K-core analysis revealed densely connected articles. The network comprised 46,204 nodes and 231,432 arcs, highlighting DNA methylation profiling’s role in advancing molecular biomarker-based classification models. KRA emphasized advanced imaging and molecular techniques as key drivers, while K-core analysis identified articles cited at least 19 times. The findings indicate that the subset of articles focusing on glioma classification that incorporate social factors is relatively scarce in the analyzed data, in contrast to the prominence of epigenetic and imaging factors in the literature. Unlike previous studies that focused primarily on metrics such as the h-index, our approach identifies the limited but notable mention of social factors in glioma classification research, thereby highlighting a thematic gap. Through quantitative network analysis complemented by narrative interpretation, we uncovered patterns and substructures that offer deep insights into the evolving research landscape.

Copyright: © 2026 Makovec et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Prostate gland cells can be transcriptionally and morphologically characterized as basal and luminal. About 30–40% of advanced prostate cancers (PC) harbor basal-like transcription programs. In castration-resistant PC (CRPC), studies indicate that basal and stem cell-like (SCL) tumors are major resistance mechanisms to androgen receptor (AR)-targeted therapies. SCL tumors have reduced AR activity and increased stem-cell activity that promotes tumor formation, which contributes to poor clinical outcomes. We determined that CREB5 is a key regulator of basal and SCL transcriptional programs and tumor-forming phenotypes in PC. Through in silico modeling of PC transcriptomes and several pre-defined PC signaling programs, CREB5 expression was best associated with basal-like gene signatures and SCL-associated genes in primary PC and CRPCs (n = 493 and 208). This included associations with FOSL1 and other AP-1 transcription factors. We further found that CREB5 interacted with AP-1 proteins and bound to the regulatory elements of AP-1 genes, suggesting a mechanistic role in regulating the activity of AP-1 genes. In AR-positive cells, CREB5 overexpression promoted cell colony growth with tumorigenic properties and increased tumor size in vivo. These findings implicate CREB5 as a driver of the transcriptional programs underlying AR-independent basal and SCL CRPC subtypes, and this activity is detectable in primary PC.

Gastric cancer (GC) remains a leading cause of cancer-related morbidity and mortality worldwide. Neural invasion (NI) is a common pathological behavior that worsens the prognosis in GC. However, the immune microenvironment of neural invasion-positive GC (NI+GC) and its potential therapeutic implications remain poorly defined. Here, we performed single-cell RNA sequencing (scRNA-seq) on tumor specimens from patients with NI+GC and neural invasion-negative GC (NI-GC) to comprehensively delineate the immune landscape. Our analysis revealed a significant enrichment of exhausted ANXA1+CD8+T cells within NI+GC tissues, which was validated by flow cytometry and multiplex immunohistochemistry assays. Clinically, patients with greater infiltration of ANXA1+CD8+ T cells had worse overall survival and disease progression. Mechanistically, ANXA1 bound to TRKA via N-terminal region, blocking NEDD4L-mediated ubiquitination and degradation of TRKA, thereby suppressing glycolytic metabolism and driving CD8⁺T cell exhaustion. Tumor-derived nerve growth factor (NGF) further amplified this exhaustion via TRKA engagement. Importantly, treatment with an ANXA1-derived peptide (A11) combined with TRKA inhibitors synergistically reversed T cell exhaustion and suppressed tumor growth in preclinical models. These findings unveil distinctive features of the immune microenvironment in NI+GC and elucidate the underlying molecular mechanisms of ANXA1/TRKA axis in facilitating immune evasion, which offer new insights for enhancing the sensitivity of immunotherapy to NI+GC patients.

Acquired resistance to tyrosine kinase inhibitors (TKIs) remains the primary obstacle to long-term disease control in targeted cancer therapy, yet whether resistance emerges gradually through clonal selection or abruptly via mutation acquisition remains unclear. We develop a four-dimensional ordinary differential equation model coupling drug-sensitive and drug-resistant tumor populations with dynamic vascular support and explicit TKI pharmacokinetics. Mathematical analysis establishes solution positivity and uniform boundedness, characterizes all equilibrium states, and determines local stability conditions via Jacobian eigenvalue analysis, revealing threshold relationships between drug efficacy and evolutionary outcomes. We perform systematic parameter estimation using differential evolution on longitudinal tumor mass data from a gastrointestinal stromal tumor patient treated with imatinib. Models assuming continuous effective drug pressure fail systematically, with best fit achieving only coefficient of determination R-squared equals 0.721, unable to reproduce the observed 24-fold tumor mass increase during relapse. In striking contrast, incorporating a sigmoid resistance modulation function-where cytotoxicity progressively vanishes due to mutant clonal expansion near day 683-yields near-perfect agreement with R-squared equals 0.999, accurately capturing all three clinical phases. The estimated transition rate implies a rapid 10â€"90 percent clonal takeover within approximately 2.5 days, providing quantitative evidence that explosive relapse reflects abrupt mutation acquisition rather than gradual selection.

Metabolic reprogramming is a hallmark of cancer. Tumor cells adapt to their environment by modulating glucose, lipid, and amino acid metabolism to supply raw materials for rapid growth and enhance treatment resistance. Among these, glucose metabolic reprogramming is particularly critical. In head and neck tumor cells, glycolysis-derived intermediate metabolites provide biosynthetic precursors and energy necessary for growth, sustaining proliferation and invasion. Additionally, these metabolites can remodel the tumor microenvironment, modulate signaling pathways, and alter tumor phenotypes, further promoting chemoresistance and radioresistance. Protein homeostasis (proteostasis) refers to the dynamic balance of cellular processes involving protein synthesis, folding, modification, transport, and degradation, which is essential for maintaining normal physiological functions. This review aims to explore how proteostasis-regulated degradation pathways-specifically the ubiquitin-proteasome system (UPS) and autophagy-lysosome pathway-modulate glycolysis in head and neck tumors, thereby influencing tumor proliferation and invasion. These insights may provide a theoretical foundation for overcoming treatment resistance and improving prognosis, while also opening new avenues for future therapeutic research in head and neck oncology.

Lung cancer is the third most common malignancy in Iceland and remains the leading cause of cancer-related mortality. Lung cancer may harbor driver mutations affecting the function of Epidermal growth factor receptor (EGFR), Anaplastic lymphoma kinase (ALK), ROS proto-oncogene 1 (ROS1), B-raf proto-oncogene (BRAF), RET proto-oncogene (RET), MET proto-oncogene (MET), and NTRK, which can influence the selection of targeted therapies and treatment outcomes. In Iceland, EGFR testing was initiated in 2005, and in 2016, multigene targeted panel became standard for tumor testing. The objective was to determine the uptake of testing and frequency of targeted mutations in lung cancer nationwide, the utilization of targeted therapies, and duration of such treatments.

External auditory canal squamous cell carcinoma (EACSCC) is rare, affecting 1.6 in a million individuals. We report a case of EACSCC in a 66-year-old woman carrying a heterozygous BRCA2 germline pathogenic variant (GPV) (c.8537_8538del), with prior history of breast cancer. Tumor copy-number analysis showed loss of heterozygosity at the BRCA2 locus. Genomic scar analysis supported homologous recombination repair deficiency (HRD), with mutational signatures showing the predominance of APOBEC activity and lower contributions of HRD-associated single base (SBS3, SBS8) and INDEL (ID6) signatures. A somatic TP53 pathogenic variant was also identified. These findings suggest a contributory role for BRCA2 in EACSCC development.

Primary mesenchymal tumors of the meninges include various types, with meningioma being the most prevalent. Non-meningothelial primary tumors of the meninges are uncommon and present diagnostic difficulties due to their potential morphological similarities with each other and with the anaplastic subtype of meningioma. Intracranial dedifferentiated chondrosarcoma is extremely rare and is defined by the presence of both a conventional chondrosarcoma component and a non-cartilaginous sarcoma component. Diagnosing this tumor can be particularly challenging in biopsy samples or when the chondrosarcoma component is not prominently represented. We report a rare case of dedifferentiated chondrosarcoma of the cavernous sinus in a specimen containing only the dedifferentiated component and exhibiting an IDH1 mutation, underscoring the importance of genetic characterization for the differential diagnosis of tumors in this anatomical region. Given the recent evidence supporting the efficacy of IDH inhibitors in chondrosarcomas, identifying mutations in these genes may also have significant therapeutic implications.

Uveal melanoma (UM) is the most common primary intraocular malignancy in adults, characterized by distinct histopathological and molecular features and often associated with poor prognosis due to its high metastatic potential. While histology, BAP1 status, and chromosomal changes are established prognostic markers, integration of morphological, immunophenotypic, and molecular data is evolving.