Elongator acetyltransferase complex subunit 6 (ELP6), a subunit of the elongator complex, can increase the migratory potential of melanoma cells in vitro. However, the clinical relevance of ELP6 in patients with melanoma remains unclear. The present study aimed to investigate the role of ELP6 expression in melanoma progression and association with patient survival rates. Transcriptomic data from patients with melanoma available in The Cancer Genome Atlas, Gene Expression Profiling Interactive Analysis and cBioPortal databases were analysed to evaluate the associations between ELP6 expression levels and patient survival. In vitro experiments were conducted using short hairpin RNAs to downregulate ELP6, with a focus on cell viability, cell cycle regulation and the ERK1/2 signalling pathway. ELP6 expression levels were significantly elevated in patients with melanoma and were associated with poor survival outcomes. Knockdown of ELP6 resulted in decreased expression levels of p42 MAPK, reduced cell viability, G1 phase cell cycle arrest and led to reduced responsiveness to the MEK1/2 inhibitor U0126. ELP6 promotes melanoma progression via the ERK1/2 signalling pathway. Therefore, assessing ELP6 expression may offer potential therapeutic strategies for patients with melanoma.

Gastroesophageal junction adenocarcinoma (GEJAC) exhibits distinct molecular characteristics due to its unique anatomical location. We sought to investigate effective and reliable molecular classification of GEJAC to guide personalized treatment.

We analyzed the whole genomic, transcriptomic, T-cell receptor repertoires, and immunohistochemical data in 92 GEJAC patients and delineated the landscape of genetic and immune alterations. In addition to COSMIC nomenclature, the de novo nomenclature was also utilized to define signatures and investigate their correlation with survival. A novel molecular subtype was developed and validated in other cohorts.

We found 30 mutated driver genes, 7 novel genomic signatures, 3 copy-number variations, and 2 V-J gene usages related to prognosis that were not identified in previous study. A high frequency of COSMIC-SBS-384-1 and De novo-SV-32-A was associated with more neoantigen generation and a better survival. Using 19 molecular features, we identified three immune-related subtypes (immune inflamed, intermediate, and deserted) with discrete profiles of genomic signatures, immune status, and clinical outcome. The immune deserted subtype (27.2%) was characterized by an earlier KRAS mutation, worse immune reaction, and prognosis than the other two subtypes. The immune inflamed subtypes exhibited the highest levels of neoantigens, TCR/pMHC-binding strength, CD8 + T-cell infiltration, IFN-α/γ response pathways, and survival rate.

These results emphasize the immune reaction and prognostic value of novel molecular classifications based on multi-omics data and provide a solid basis for better management of GEJAC.

Marred by a median survival of only around 12-15 months coupled with poor prognosis and effective therapeutic deprived drug armory, treatment/management of glioblastoma has proved to be a daunting task. Surgical resection, flanked by radiotherapy and chemotherapy with temozolomide, stands as the standard of care; however, this trimodal therapy often manifests limited efficacy due to the heterogeneous and highly infiltrative nature of GBM cells. In addition, the existence of the blood-brain barrier, tumor microenvironment, and the immunosuppressive nature of GBM, along with the encountered resistance of GBM cells towards conventional therapy, also hinders the therapeutic applications of chemotherapeutics in GBM. This review presents key insights into the molecular pathology of GBM, including genetic mutations, signaling pathways, and tumor microenvironment characteristics. Recent innovations such as immunotherapy, oncolytic viral therapies, vaccines, nanotechnology, electric field, and cancer neuroscience, as well as their clinical progress, have been covered. In addition, this compilation also encompasses a discussion on the role of personalized medicine in tailoring treatments based on individual tumor profiles, an approach that is gradually shifting the paradigm in GBM management. Endowed with the learnings imbibed from past failures coupled with the zeal to embrace novel/multidisciplinary approaches, researchers appear to be on the right track to pinpoint more effective and durable solutions in the context of GBM treatment.

The response to immunotherapy is limited in advanced biliary tract cancer (BTC). Response prediction is a serious challenge in the clinic.

This study included 60 patients with advanced BTC who received anti-PD-1 treatment. Among these patients, 30 were subjected to 520 gene panel sequencing, and 50 were subjected to multiplex circulating cytokine testing. The entropy and mutation features were analysed via the optimized pipeline based on our previous work. The repeated LASSO algorithm was used to identify the optimal features. The associations between sequence features and cell communications were explored by analysing single-cell transcriptome data from BTC (GSE125449). Cox regression was used to develop the integrated model. Time-dependent C-index, Kaplan‒Meier, and receiver operating characteristic (ROC) curves were used to assess the prediction performance.

TP53, NRAS, FBXW7, and APC were identified as prognosis-related genes. The average C-indices of sequence entropy (0.819) and mutation (0.817) for overall survival (OS) were significantly greater than those of tumour mutation burden (TMB, 0.392) and mutation score (0.638). Single-cell transcriptome data revealed that TP53, KRAS, and NRAS were enriched in plasmacytoid dendritic cells (pDCs) and that the communication between pDCs and macrophages was mediated through the CXCL signalling pathway. The integrated model (EM-CXCL10) showed powerful predictive performance for survival status (AUC: 0.863, 95% CI: 0.643-0.972) and objective response rate (AUC: 0.990, 95% CI: 0.822-1.000).

This study constructed a multidimensional strategy that might indicate the prognosis of BTC immunotherapy, enabling the recognition of BTC patients who would benefit from immunotherapy, thereby guiding personalized clinical decision-making.

Despite their deleterious effects, small insertions and deletions (InDels) have received far less attention than substitutions. Here we generated isogenic CRISPR-edited human cellular models of postreplicative repair dysfunction (PRRd), including individual and combined gene edits of DNA mismatch repair (MMR) and replicative polymerases (Pol ε and Pol δ). Unique, diverse InDel mutational footprints were revealed. However, the prevailing InDel classification framework was unable to discriminate these InDel signatures from background mutagenesis and from each other. To address this, we developed an alternative InDel classification system that considers flanking sequences and informative motifs (for example, longer homopolymers), enabling unambiguous InDel classification into 89 subtypes. Through focused characterization of seven tumor types from the 100,000 Genomes Project, we uncovered 37 InDel signatures; 27 were new. In addition to unveiling previously hidden biological insights, we also developed PRRDetect-a highly specific classifier of PRRd status in tumors, with potential implications for immunotherapies.

Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy with ~7% 5-year overall survival reflecting early metastasis and rapid acquired chemoresistance. Immunotherapy briefly extends overall survival in ~15% cases, yet predictive biomarkers are lacking. Targeted therapies are beginning to show promise, with a recently approved delta-like ligand 3 (DLL3)-targeted therapy impacting the treatment landscape. The increased availability of patient-faithful models, accumulating human tumour biobanks and numerous comprehensive molecular profiling studies have collectively facilitated the mapping and understanding of substantial intertumoural and intratumoural heterogeneity. Beyond the almost ubiquitous loss of wild-type p53 and RB1, SCLC is characterized by heterogeneously mis-regulated expression of MYC family members, yes-associated protein 1 (YAP1), NOTCH pathway signalling, anti-apoptotic BCL2 and epigenetic regulators. Molecular subtypes are based on the neurogenic transcription factors achaete-scute homologue 1 (ASCL1) and neurogenic differentiation factor 1 (NEUROD1), the rarer non-neuroendocrine transcription factor POU class 2 homeobox 3 (POU2F3), and immune- and inflammation-related signatures. Furthermore, SCLC shows phenotypic plasticity, including neuroendocrine-to-non-neuroendocrine transition driven by NOTCH signalling, which is associated with disease progression, chemoresistance and immune modulation and, in mouse models, with metastasis. Although these features pose substantial challenges, understanding the molecular vulnerabilities of transcription factor subtypes, the functional relevance of plasticity and cell cooperation offer opportunities for personalized therapies informed by liquid and tissue biomarkers.

Immunogenic cell death (ICD) has attracted enormous attention over the past decade due to its unique characteristics in cancer cell death and its role in activating innate and adaptive immune responses against tumours. Many efforts have been dedicated to screening, identifying and discovering ICD inducers, resulting in the validation of several based on metal complexes. In this review, we provide a comprehensive summary of current metal-based ICD inducers, their molecular mechanisms for triggering ICD initiation and subsequent protective antitumour immune responses, along with considerations for validating ICD both in vitro and in vivo. We also aim to offer insights into the future development of metal complexes with enhanced ICD-inducing properties and their applications in potentiating antitumour immunity.

This study aimed to evaluate the clinicopathologic and genomic characteristics of triple-negative breast cancer (TNBC) subclassification. TNBC was classified into the luminal androgen receptor (LAR) subtype and the tumor-infiltrating lymphocytes (TILs) groups of the non-LAR subtype-lymphocyte-predominant (LP), lymphocyte-intermediate (LI), and lymphocyte-depleted (LD)-based on androgen receptor immunohistochemistry and TILs. Clinicopathologic and genomic characteristics were evaluated for these TNBC subclasses. The LP group was associated with a histologic type of carcinoma with medullary features, a higher tumor mutation burden, and increased APOBEC activity, indicative of APOBEC-driven hypermutation. The LAR subtype was characterized by a higher prevalence of PIK3CA mutations, lower homologous recombination deficiency scores, and associations with histologic types of invasive lobular carcinoma, and carcinoma with apocrine differentiation. This study demonstrates the distinct clinicopathologic and genomic characteristics of TNBC subclassifications. APOBEC activity-related hypermutation is a defining characteristic of the LP group.

DLX4 is involved in the regulation of embryonic development, but its function in cancer remains unclear. Here, we conducted a pan-cancer analysis to investigate the molecular mechanisms of DLX4, with a particular emphasis on its role in renal cancer.

A comprehensive analysis of DLX4 was performed, focusing on differences in expression, prognostic value, somatic mutations, methylation modifications, and immune landscapes across various cancer types using multiple databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were utilized to explore the potential biological functions. Additionally, we evaluated the expression profile, prognostic significance, and immune infiltration of DLX4 in Kidney Renal Clear Cell Carcinoma (KIRC). The effect of DLX4 on KIRC was further validated by Spatial Transcriptomics, Real-time PCR (RT-PCR), and Immunohistochemistry experiments.

DLX4 was found to be upregulated in 26 cancer types and associated with poor prognosis. It was also correlated with tumor mutational burden (TMB), microsatellite instability, mismatch repair, and methylation, and was significantly enriched in pathways related to cell proliferation. In KIRC, DLX4 expression increased along with TMB and immune scores, likely due to the infiltration of regulatory T cells (Tregs) and T-helper 2 (Th2) cells. Spatial transcriptomics revealed a strong correlation between DLX4 localization and tumor cells. Experimental validation confirmed that DLX4 expression is significantly upregulated in renal cancer tissues.

Our study explored the mechanisms of DLX4 in pan-cancer, especially in renal clear cell carcinoma, identifying it as a promising biomarker and therapeutic target.

Computational approaches for drug repurposing for viral diseases have mainly focused on a small number of antivirals that directly target pathogens (virus centric therapies). In this work, we combine ideas from collaborative filtering and network medicine for making predictions on a much larger set of drugs that could be repurposed for host centric therapies, that are aimed at interfering with host cell factors required by a pathogen. Our idea is to create matrices quantifying the perturbation that drugs and viruses induce on human protein interaction networks. Then, we decompose these matrices to learn embeddings of drugs, viruses, and proteins in a low dimensional space. Predictions of host-centric antivirals are obtained by taking the dot product between the corresponding drug and virus representations. Our approach is general and can be applied systematically to any compound with known targets and any virus whose host proteins are known. We show that our predictions have high accuracy and that the embeddings contain meaningful biological information that may provide insights into the underlying biology of viral infections. Our approach can integrate different types of information, does not rely on known drug-virus associations and can be applied to new viral diseases and drugs.

Basal cell carcinomas (BCC) are driven primarily by cumulative ultraviolet (UV) radiation exposure resulting in activation of the Hedgehog (Hh) signaling pathway, often as a result of UV-mediated Patched-1 ( PTCH1) gene inactivation. Accordingly, BCCs most commonly arise at sun-exposed sites such as the head and neck. Very rarely, BCCs can arise at sun-protected sites such as the genital skin and perianal area. This can pose significant diagnostic challenges not only due to the rarity of BCC at these sites but also due to the potential morphologic overlap with other entities such as basaloid squamous cell carcinoma, trichoblastic carcinoma, and even benign neoplasms such as trichoblastomas. Hh pathway alterations have not yet been described in BCCs arising at genital and perianal sites, and the role of UV radiation is uncertain at these anatomic locations. To address this ambiguity, we report the clinicopathologic features of a cohort of 14 BCCs arising at sun-protected sites (perianal n=7, vulva n=4, scrotum n=3). Furthermore, we use a next-generation DNA sequencing platform to investigate their pathogenesis and compare it to that of a cohort of 8 BCCs arising on sun-exposed skin. We find that BCCs arising on sun-protected sites display a spectrum of morphologic patterns, rarely recur, and do not metastasize. Both sun-protected and sun-exposed BCCs are characterized by recurrent PTCH1 alterations (93% and 100% of cases, respectively), supporting the classification of the tumors arising at sun-protected sites as bona fide BCCs. Notably, in contrast to conventional BCCs, none of the sun-protected BCCs harbored a UV mutation signature, suggesting an alternative mechanism of mutagenesis. Furthermore, the presence of upstream Hh pathway alterations in sun-protected BCCs supports their susceptibility to Hh pathway inhibitors such as vismodegib and sonidegib.

Neuroinflammation underpins neurodegeneration and clinical progression in multiple sclerosis (MS), but knowledge of processes linking these disease mechanisms remains incomplete. Here we investigated somatic single-nucleotide variants (sSNVs) in the genomes of 106 single neurons from post-mortem brain tissue of ten MS cases and 16 controls to determine whether somatic mutagenesis is involved. We observed an increase of 43.9 sSNVs per year in neurons from chronic MS lesions, a 2.5 times faster rate than in neurons from normal-appearing MS and control tissues. This difference was equivalent to 1,291 excess sSNVs in lesion neurons at 70 years of age compared to controls. We performed mutational signature analysis to investigate mechanisms underlying neuronal sSNVs and identified a signature characteristic of lesions with a strong, age-associated contribution to sSNV counts. This research suggests that neuroinflammation is mutagenic in the MS brain, potentially contributing to disease progression.

The 4th Symposium on Childhood Cancer Health Disparities was held at Texas Children's Hospital in Houston, Texas, on September 26, 2023. The symposium registered 94 attendees from different backgrounds (e.g. clinicians, epidemiologists, exposure assessment scientists, geospatial experts) with an interest in environmental health disparities of pediatric cancer susceptibility and treatment outcomes. The focus of the symposium was to provide an overview of the role of environmental risk factors in studies of pediatric cancer, introduce novel exposure assessment tools that can be applied to the field, and highlight opportunities to study the impact of environmental health disparities in pediatric cancer susceptibility and outcomes. This report summarizes the scientific content of the symposium and highlights priorities to advance the field.

Tobacco smoke, alone or combined with alcohol, is the predominant cause of head and neck cancer (HNC). We explore how tobacco exposure contributes to cancer development by mutational signature analysis of 265 whole-genome sequenced HNC samples from eight countries. Six tobacco-associated mutational signatures were detected, including some not previously reported. Differences in HNC incidence between countries corresponded with differences in mutation burdens of tobacco-associated signatures, consistent with the dominant role of tobacco in HNC causation. Differences were found in the burden of tobacco-associated signatures between anatomical subsites, suggesting that tissue-specific factors modulate mutagenesis. We identified an association between tobacco smoking and alcohol-related signatures, indicating a combined effect of these exposures. Tobacco smoking was associated with differences in the mutational spectra, repertoire of driver mutations in cancer genes and patterns of copy number change. Our results demonstrate the multiple pathways by which tobacco smoke can influence the evolution of cancer cell clones.

Our primary objective was to estimate the overall response rate to immune checkpoint inhibitors (ICIs) in patients with locally advanced, multiply recurrent, or metastatic conjunctival melanoma treated with ICIs. A retrospective review of all consecutive conjunctival melanoma patients who were treated with ICI between October 2017 and January 2024 was carried out. The study included 16 patients with a median age of 66 years. The indications for ICI were locally extensive conjunctival melanoma in the eye/orbital area without nodal or distant metastasis in 10 patients, local recurrence of conjunctival melanoma and simultaneous nodal or distant metastasis in four patients, and metastatic conjunctival melanoma without local recurrence in two patients. Five patients received PD-1 inhibitor monotherapy with nivolumab or pembrolizumab; the other 11 received ipilimumab (CTLA-4 inhibitor) and nivolumab for several cycles and were then continued on nivolumab monotherapy ( n = 6) or not given additional ICI therapy ( n = 3). The number of cycles of ICI ranged from 2 to 25 (median, 13). Eight patients achieved a complete response. Six patients had progressive disease. The overall rate of objective response to ICI therapy was 63% (10 of 16), and for the subset of patients with local disease only, the objective response rate was 70% (7 of 10). In 14 patients (88%), orbital exenteration or additional extensive surgery was avoided; two patients had progression despite ICI and eventually needed an orbital exenteration. Future studies should aim to correlate biomarker data with response to ICI therapy in patients with conjunctival melanoma.

The imidazoquinoline family of toll-like receptor (TLR) immune cell agonists has long demonstrated moderate anticancer immunogenic effects by activating tumoricidal immune cells and depleting immunosuppressive cells within the tumor microenvironment. At a molecular level, we have also established that several imidazoquinolines traffic from within cancer cells to the extracellular space via P-glycoprotein (P-gp)-mediated efflux, a process commonly upregulated as multidrug-resistant (MDR) cancers acquire chemoresistance. However, imidazoquinoline P-gp efflux has never been deliberately enhanced to exploit this process. This study pioneers efforts to optimize imidazoquinoline efflux, ultimately balancing immunogenic potency alongside functional efflux susceptibility. Starting from an established imidazoquinoline scaffold previously optimized for potency, efflux was significantly enhanced by elaborating the N1 benzylic position with amide- and sulfonamide-linked P-gp affinity fragments consisting of empirically established P-gp substrates as well as computationally predicted P-gp binders. Lead compounds were identified from this series that exhibited enhanced P-gp efflux with functional retention of TLR agonism. Similar to the parent imidazoquinoline scaffold, leads had limited direct cytotoxicity in both treatment-naive and MDR B16 melanoma models and did not significantly affect the efficacy or trafficking of the chemotherapeutic doxorubicin. Efflux-enhanced imidazoquinolines were preferentially expelled from MDR-B16 cells relative to treatment-naive cells, resulting in immunogenicity that was enhanced as a consequence of the acquired MDR phenotype. Because enhanced P-gp-mediated efflux is common to most MDR cancer types, we envision that these results could inspire the design of immunotherapeutic drugs with mechanisms of action that are broadly enhanced in MDR cancers that have failed treatment or acquired resistance to chemotherapeutics.

Oral cavity squamous cell carcinoma (OSCC), a leading subtype of head and neck cancer, exhibits high global incidence and mortality rates. Despite advancements in surgery and radiochemotherapy, approximately one-third of patients experience relapse. To improve current targeted and immunotherapy strategies for recurrent OSCC, we conducted multi-omics analyses on pretreatment OSCC samples (cohorts 1 and 2, n = 137) and identified A3A and EGFR, both at the RNA and protein levels, as inversely expressed markers for patient stratification and response prediction. Survival analysis demonstrated that elevated A3A or PD-L1 expression levels correlated to improved responses to anti-PD-1 therapy in patients (cohort 3a, n = 50, IHC). In contrast, high RRAS expression (cohort 4, n = 252, qRT-PCR) was significantly associated with OSCC recurrence. Cell-based experiments revealed that RRAS was involved in radiotherapy and cisplatin resistance through the EGFR/RRAS/AKT/ERK signaling pathway. In OSCC patient-derived xenograft (PDX) mouse models, treatments with cisplatin and cetuximab (anti-EGFR) effectively reduced tumor size in EGFR-high-derived (#34) but not A3A-high-derived (#22) PDX tumors. Our study demonstrated that A3A-high tumors were immune-hot and responsive to anti-PD-1 therapy, whereas EGFR-high tumors exhibited chr.7p11.2 gains and DNA repair alterations. Additionally, RRAS-high tumors were associated with OSCC recurrence via AKT and ERK phosphorylation and demonstrate improved clinical outcomes with cetuximab therapy (cohort 3b, n = 49, IHC). This study emphasizes the significance of A3A and EGFR expression levels in OSCC patient stratification and precision therapy, suggesting the use of anti-PD-1 or anti-EGFR treatments, respectively based on these biomarkers. Furthermore, RRAS emerges as a novel prognostic marker for local recurrence.

The use of immune checkpoint inhibitors (ICIs) for treating melanoma has dramatically improved patient prognosis. The genomic profiles of patients receiving ICI therapy would provide valuable information for disease management and treatment. We investigated the genomic profiles of patients with melanoma who had received ICI therapy and explored associations with clinical features and outcomes via a large-scale nationwide database in Japan (the C-CAT database). We identified 339 patients eligible for this study. The most frequent genetic mutations were found in the BRAF (27%), TERT (24%), and NRAS (19%) genes, and the most common copy number variations (CNVs) were in the CDKN2A (36%), CDKN2B (26%), and MTAP (19%) genes. Associations with high tumor mutational burden (TMB-high) status were significant for TERT (p < 0.001), NF1 (p < 0.001), ROS1 (p = 0.015), POLE (p = 0.045), and POLD1 (p = 0.008) mutations, along with older age (≥65 years, p = 0.036). Patients with multiple metastases (two or more) were more likely to have NOTCH3 mutations (p = 0.017) and be younger than 65 years (p = 0.024). In particular, as well as younger age, patients with brain metastases were more likely to harbor BRAF mutations (p < 0.001), while those with liver metastases were more likely to harbor NOTCH3 mutations (p < 0.001) but not CDKN2B CNVs (p = 0.041). Patients with NRAS mutations were less likely to respond to ICI therapy (p = 0.014) and exhibited shorter overall survival (p = 0.006). In this population, the frequency of BRAF mutations was lower than that in fair-skinned populations, but the associations between genomic profiles, clinical features, and outcomes were similar to those previously reported in fair-skinned populations.

BRAF mutations in colorectal cancer comprise three functional classes: class 1 (V600E) with strong constitutive activation, class 2 with pathogenic kinase activity lower than that of class 1, and class 3 which paradoxically lacks kinase activity. Non-class 1 mutations associate with better prognosis, microsatellite stability, distal tumor location, and better anti-EGFR response. An analysis of 13 colorectal cancer cohorts (n = 6,605 tumors) compared class 1 (n = 709, 10.7% of colorectal cancers), class 2 (n = 31, 0.47%), and class 3 (n = 81, 1.22%) mutations. Class 2-mutant and class 3-mutant colorectal cancers frequently co-occurred with additional Ras pathway mutations (29.0% and 45.7%, respectively, vs. 2.40% in class 1; P < 0.001), often at atypical sites (KRAS noncodon 12/13/61, NRAS, or NF1). Ras pathway activation was highest in class 1 and lowest in class 3, with a greater distal expression of EGFR ligands (amphiregulin/epiregulin) supporting weaker BRAF driver mutations. Unlike class 1 mutants, class 3 tumors resembled chromosomally unstable colorectal cancers in mutation burdens, signatures, driver mutations, and transcriptional subtypes, whereas class 2 mutants displayed intermediate characteristics. Atypical BRAF mutations were associated with longer overall survival than class 1 mutations (HR = 0.25; P = 0.011) but lost this advantage in cancers with additional Ras mutations (HR = 0.94; P = 0.86). This study supports the suggestion that class 3 BRAF mutations amplify existing Ras signaling in a two-mutation model and that the enhancement of weak/atypical Ras mutations may suffice for tumorigenesis, with potentially clinically important heterogeneity in the class 2/3 subgroup. Implications: The heterogeneous nature of BRAF-mutant colorectal cancers, particularly among class 2/3 mutations which frequently harbor additional Ras mutations, highlights the necessity of comprehensive molecular profiling.

Сytosine methylation in CpG dinucleotides is the most common epigenetic mark in human cells. Under active demethylation process 5-methylcytosine (mC) can be converted to 5-hydroxymethylcytosine (hmC). Cytosine methylation increases the risk of adjacent nucleotide damage, including the oxidation of guanine. DNA polymerases might encounter mC and hmC during DNA repair or translesion synthesis. Here, we analyze the activity of X-family polymerases Pol β and Pol λ opposite mC and hmC as well as opposite 8-oxoG adjacent to mC in the TCG context. We demonstrate that hmC has no pronounced effect on Pol β and Pol λ activity while cytosine methylation moderately suppresses the efficiency of dGMP incorporation by Pol β but not Pol λ. Pol λ was not affected by + 2 cytosine methylation when synthesizing across 8-oxoG. In contrast, cytosine methylation slightly increased incorporation of dCMP opposite 8-oxoG adjacent to mC but reduced the extension of the 8-oxoG:C pair by Pol β.

Acral melanoma, the most common melanoma subtype in East Asia, is associated with a poor prognosis. This study aims to comprehensively analyze the genomic characteristics of acral melanoma in East Asians. We conduct whole-genome sequencing of 55 acral melanoma tumors and perform data mining with relevant clinical data. Our findings reveal a unique mutational profile in East Asian acral melanoma, characterized by fewer point mutations and structural variations, a higher prevalence of NRAS mutations, and a lower frequency of BRAF mutations compared to patients of European descent. Notably, we identify previously underestimated ultraviolet radiation signatures and their significant association with BRAF and NRAS mutations. Structural rearrangement signatures indicate distinct mutational processes in BRAF-driven versus NRAS-driven tumors. We also find that homologous recombination deficiency with MAPK pathway mutations correlated with poor prognosis. The structural variations and amplifications in EP300, TERT, RAC1, and LZTR1 point to potential therapeutic targets tailored to East Asian populations. The high prevalence of whole-genome duplication events in BRAF/NRAS-mutated tumors suggests a synergistic carcinogenic effect that warrants further investigation. In summary, our study provides important insights into the genetic underpinnings of acral melanoma in East Asians, creating opportunities for targeted therapies.

The College of American Pathologists (CAP) accreditation requirements for clinical laboratory testing help ensure laboratories implement and maintain systems and processes that are associated with quality. Machine learning (ML)-based models share some features of conventional laboratory testing methods. Accreditation requirements that specifically address clinical laboratories' use of ML remain in the early stages of development.

To identify relevant CAP accreditation requirements that may be applied to the clinical adoption of ML-based molecular oncology assays, and to provide examples of current and emerging ML applications in molecular oncology testing.

CAP accreditation checklists related to molecular pathology and general laboratory practices (Molecular Pathology, All Common and Laboratory General) were reviewed. Examples of checklist requirements that are generally applicable to validation, revalidation, quality management, infrastructure, and analytical procedures of ML-based molecular oncology assays were summarized. Instances of ML use in molecular oncology testing were assessed from literature review.

Components of the general CAP accreditation framework that exist for traditional molecular oncology assay validation and maintenance are also relevant for implementing ML-based tests in a clinical laboratory. Current and emerging applications of ML in molecular oncology testing include DNA methylation profiling for central nervous system tumor classification, variant calling, microsatellite instability testing, mutational signature analysis, and variant prediction from histopathology images.

Currently, much of the ML activity in molecular oncology is within early clinical implementation. Despite specific considerations that apply to the adoption of ML-based methods, existing CAP requirements can serve as general guidelines for the clinical implementation of ML-based assays in molecular oncology testing.

The process of tumor development involves tumor cells eluding detection and suppression of immune responses, which can cause decreased tumor cell antigenicity, expression of immunosuppressive molecules, and immunosuppressive cell recruitment to the tumor microenvironment (TME). Immunologically and genomically integrated analysis (immunogenomic analysis) of patient specimens has revealed that oncogenic aberrant signaling is involved in both carcinogenesis and immune evasion. In noninflamed cancers such as epidermal growth factor receptor (EGFR)-mutated lung cancers, genetic abnormalities in cancer cells contribute to the formation of an immunosuppressive TME by recruiting immunosuppressive cells, which cannot be fully explained by the cancer immunoediting hypothesis. This review summarizes the latest findings regarding the links between cancer genetic abnormalities and immunosuppression causing clinical resistance to immunotherapy. We propose the concepts of immunogenomic cancer evolution, in which cancer cell genomic evolution shapes the immunosuppressive TME, and immunogenomic precision medicine, in which cancer immunotherapy can be combined with molecularly targeted reagents that modulate the immunosuppressive TME.

Immune checkpoint inhibitors (ICIs) have improved outcomes of patients with many different cancers. These antibodies target molecules such as programmed cell death 1 (PD-1) or cytotoxic T lymphocyte associated protein 4 (CTLA-4) which normally function to limit immune activity. Treatment with ICIs reactivates T cells to destroy tumor cells in a highly specific manner, which in some patients, results in dramatic remissions and durable disease control. Over the last decade, much effort has been directed at characterizing factors that drive efficacy and resistance to ICI therapy. Food and Drug Administration (FDA)-approved biomarkers for ICI therapy have facilitated more judicious treatment of cancer patients and transformed the field of precision oncology. Yet, adaptive immunity against cancers is complex, and newer data have revealed the potential utility of other biomarkers. In this review, we discuss the utility of currently approved biomarkers and highlight how emerging biomarkers can further improve the identification of patients who benefit from ICIs.

Oral squamous cell carcinoma (OSCC) remains a formidable challenge due to its high recurrence rates and poor prognosis. This study focuses on miR-876, a microRNA significantly associated with OSCC recurrence and clinical outcomes. Analysis of miRNA expression profiles from recurrent OSCC patients revealed that miR-876-5p is markedly upregulated in recurrent tumor tissues and the high expression of miR-876-5p correlates with reduced disease-free and overall survival. Functional assays demonstrated that miR-876 enhances OSCC cell growth, migration, and stemness, contributing to chemoresistance. Mechanistically, miR-876-5p directly targets SOCS4, leading to increased STAT3 activation and subsequent upregulation of PD-L1, which facilitates immune evasion. Additionally, exposure to the tobacco-specific carcinogen NNK was found to induce miR-876 expression and STAT3 activation, implicating environmental factors in miR-876 regulation and promote cancer recurrent. These findings identify the miR-876-5p-SOCS4-STAT3 axis as a critical pathway in OSCC progression, highlighting miR-876-5p as a potential biomarker and therapeutic target to improve treatment outcomes in OSCC patients.

Although immune checkpoint (IC) inhibition is a major treatment modality in cancer-immunotherapy, multiple cancers show low response. Our in-silico exploration by mining cancer datasets using R2, available clinical trial data, and Kaplan-Meier analysis from GEPIA depicted that unlike low-responder (LR) cancers, high-responder (HR) cancers furnish higher IC expression, that upon lowering may provide better prognosis. Contrastingly, pancreatic adenocarcinoma (PAAD) demonstrated high IC expression but low immunotherapy-response. Infiltration scores from TIMER2.0 revealed higher pro-tumor immune subsets and cancer-associated fibroblasts (CAFs) while depicting lower anti-tumor immune subsets in PAAD as compared to HR lung adenocarcinoma (LUAD). Additionally, bioinformatic tool cBioportal showed lesser tumor mutational burden, mismatch repair deficiency and greater percent of driver mutations in TP53, KRAS and CDKN2A in PAAD, supporting its higher immunotherapy-resistance than LUAD. Our search for the 'key' immunotherapy response-deciding factor(s) revealed cancer stem cells (CSCs), the known contributors of therapy-resistance and immuno-evasion, to be positively correlated with above-mentioned driver mutations, pro-tumor immune and CAF subsets; and that PAAD furnished higher expression of CSC genes than LUAD. UMAP/tSNE analyses revealed that high CSC signature is positively correlated with immunotherapy-resistance genes and pro-cancer immune cells, while negatively with cytotoxic-T cells in PAAD. Our in-silico study explains the low immunotherapy-response in high IC-expressing PAAD, wherein CSC plays a pivotal role. Further exploration portrayed correlation of CSCs with immunotherapy-resistance in other LR and HR cancers too, substantiating the need for personalized CSC evaluation and targeting for successful immunotherapy outcomes.

Patients have a limited response rate to immune checkpoint inhibitors (ICIs) therapy. Although several biomarkers have been proposed, their ability to accurately predict the response to ICIs therapy remains unsatisfactory. In addition, mutational signatures were validated to be associated with ICIs therapy. Therefore, we developed a mutational signature-based biomarker (MS-bio) to predict the response to ICIs therapy. Based on differentially mutated genes, we extracted six mutational signatures (single-base substitution (SBS)-A, SBS-B, SBS-C, SBS-D, double-base substitution (DBS)-A, and DBS-B) as MS-bio, and constructed a random forest (RF) model to predict the response. Internal and external validations consistently demonstrated the excellent predictive capability of MS-bio, with an accuracy reaching up to 0.82. Moreover, MS-bio exhibited superior performance compared to existing biomarkers. To further validate the accuracy of MS-bio, we explored its performance in The Cancer Genome Atlas (TCGA) cohort and found that the predicted responders were immunologically "hot". Finally, we found that SBS-C had the highest importance in prediction and was related to T cell differentiation. Overall, here we introduced MS-bio as a novel biomarker for accurately predicting the response to ICIs therapy, thereby contributing to the advancement of precision medicine.

Bladder cancer is a malignant tumor with a high global incidence and recurrence rate. Traditional diagnostic methods, such as cystoscopy and urine cytology, have limitations in sensitivity and specificity, particularly in detecting low-grade bladder cancer. Circulating tumor DNA (ctDNA) offers a non-invasive alternative, reflecting tumor genetic characteristics through blood samples. It demonstrates high sensitivity and repeatability, making it a promising tool for early detection, recurrence monitoring, and treatment evaluation. Clinical studies have shown that ctDNA not only detects tumor burden but also captures dynamic tumor mutations, aiding in personalized treatment strategies. Despite its potential, clinical implementation of ctDNA faces challenges, including optimization of detection techniques, standardization, and the cost of testing. This paper explores the role of ctDNA in advancing bladder cancer diagnosis and treatment, with a focus on refining its clinical application and guiding future research toward improved patient outcomes.

Survival of patients with metastatic castration-resistant prostate cancer (mCRPC) depends on the site of metastatic dissemination.

Patients with mCRPC were prospectively included in the CPCT-02 metastatic site biopsy study. We evaluated whole genome sequencing (WGS) of 378 mCRPC metastases to understand the genetic traits that affect metastatic site distribution.

Our findings revealed that RB1, PIK3CA, JAK1, RNF43, and TP53 mutations are the most frequent genetic determinants associated with site selectivity for metastatic outgrowth. Furthermore, we explored mutations in the non-coding genome and found that androgen receptor (AR) chromatin binding sites implicated in metastatic prostate cancer differ in mutation frequencies between metastatic sites, converging on pathways that impact DNA repair. Notably, liver and visceral metastases have a higher tumor mutational load (TML) than bone and lymph node metastases, independent of genetic traits associated with neuroendocrine differentiation. We found that TML is strongly associated with DNA mismatch repair (MMR)-deficiency features in these organs.

Our results revealed gene mutations that are significantly associated with metastatic site selectivity and that frequencies of non-coding mutations at AR chromatin binding sites differ between metastatic sites. Immunotherapeutics are thus far unsuccessful in unselected mCRPC patients. We found a higher TML in liver and visceral metastases compared to bone and lymph node metastases. As immunotherapeutics response is associated with mutational burden, these findings may assist in selecting mCRPC patients for immunotherapy treatment based on organs affected by metastatic disease.

NCT01855477.

Colorectal cancer (CRC) genetic testing of regions beyond clinical guidelines has revealed a substantial number of likely pathogenic germline mutations (GMs). It remains largely undetermined whether and how these GMs, typically located in non-mismatch repair (non-MMR) genes, are associated with the tumorigenesis of CRC. This study aimed to identify CRC-predisposing GMs among 93 cancer susceptibility genes and investigate their potential influences on CRC somatic mutational features. We secondarily aimed to investigate whether somatic ERBB2 amplification contributes to identifying GM carriers. This study incorporated a total of 3,240 Chinese CRC patients and 10,588 control individuals. CRC patients were subjected to paired tumor-normal sequencing with a 1,021-gene panel. A case-control analysis was conducted to profile the GM-associated CRC risk. A comprehensive germline-somatic association analysis was performed among 2,405 patients, with key findings subsequently validated in an independent 835-patient cohort and the TCGA CRC cohort. The case-control results supported CRC-predisposing effects of GMs in certain homologous recombination repair (HRR) and DNA damage checkpoint factor (CPF) genes, such as BRCA1/2, RecQ helicase genes, ATM, and CHEK2. HRR GMs were associated with an increased copy number alteration burden, more TP53 clonal mutations, and a higher probability of carrying somatic ERBB2 amplification. CPF GMs were inferred to have synergistic effects with ARID1A and KDM6A somatic mutations in CRC tumorigenesis. Among patients with onset age ≥ 55 years, stable microsatellites, and no cancer family history, ERBB2 amplification was significantly predictive of GM carriers. Our findings elucidate different germline tumorigenic patterns not driven by deficient MMR. Somatic ERBB2 amplification in CRC can serve as an indicator for germline genetic testing when traditional risk features are absent.

Over 80% of children with acute lymphoblastic leukemia (pALL) can be cured by treating them with multiple chemotherapeutic agents administered over several years, whereas pALL is incurable with 1-3 medications, suggesting significant variation in drug susceptibility across clonal populations. While bulk sequencing studies indicate that pALL cells contain relatively few genetic variants compared to other cancers, the true extent of genetic diversity at the single-cell level remains unknown. Here, we used three complementary approaches to investigate pALL genetic heterogeneity: error-corrected bulk sequencing, single-cell exome sequencing, and primary template-directed amplification (PTA)-enabled single-cell genome sequencing. We discovered that some ETV6-RUNX1 samples harbor multiple independent ras clones and that individual pALL cells harbor substantially more mutations (mean 3,553 per cell) than detected in bulk samples (mean 965 mutations), with variant signatures suggesting both early and late APOBEC-driven mutagenesis in ETV6-RUNX1 patients. Using PTA-based phylogenetic analysis of over 150 single-cell genomes from four pALL patients, we identified heritable phenotypes associated with specific genetic alterations, including some low-frequency clones that are preferentially selected for during chemotherapy treatment. Our findings reveal previously undetected genetic diversity in pALL and suggest that pre-existing mutations influence treatment response, with implications for future therapeutic strategies. This study provides a high-resolution framework for understanding cancer clonal evolution during treatment, yielding important new insights for developing more effective therapeutic approaches for pALL.

Increasing the accuracy and resolution of sequencing from bulk to error-corrected bulk to single clone to single-cell sequencing reveals increasing levels of genetic diversity in pALL, including the presence of clone-specific driver and treatment resistance-associated mutations.Using PTA-enabled scWGS, single pALL cells contain several fold more mutations per cell than detected in bulk sequencing, which, when multiplied across billions of cells, reveal hidden population-scale genetic complexity.Some phenotypes in pALL are heritable, including treatment resistance, where we identify pre-existing rare clones with relapse-associated mutations that preferentially survive four weeks of standard treatment in patients.

In the JAVELIN Bladder 100 phase III trial, avelumab first-line (1L) maintenance plus best supportive care (BSC) significantly prolonged overall survival (OS) versus BSC alone in patients with locally advanced or metastatic urothelial carcinoma (la/mUC) without progression following platinum-based chemotherapy. Older age (≥65 years) is a known risk factor for bladder cancer with a median age at diagnosis of 73.0 years. We report exploratory analyses in subgroups based on older age (≥65 years).

Eligible patients with la/mUC without progression after 1L platinum-based chemotherapy were randomized to receive avelumab plus BSC (n = 350) or BSC alone (n = 350). This exploratory analysis included subgroups aged ≥65 years, ≥65-<75 years, ≥75 years, and the subset aged ≥80 years. OS (primary endpoint) and progression-free survival (PFS) from randomization were analyzed using the Kaplan-Meier method.

Of 700 patients, 464 (66.3%) were aged ≥65 years. Median OS with avelumab plus BSC versus BSC alone was 26.1 versus 15.5 months (hazard ratio 0.70, 95% confidence interval 0.56-0.89) in all patients aged ≥65 years and 28.7 versus 17.1, 24.0 versus 13.5, and 24.9 versus 10.0 months, respectively, in patients aged ≥65-<75, ≥75, and ≥80 years. PFS analyses favored avelumab plus BSC versus BSC alone in all subgroups. No new safety concerns were identified in patients aged ≥65 years, including those treated for ≥12 months. Quality-adjusted time without symptoms or toxicity was 4.57 months longer with avelumab plus BSC versus BSC alone (a 30.35% relative improvement). Limitations include small sample size for the ≥80-year age subgroup and the exploratory design.

These exploratory analyses support the efficacy and tolerability of avelumab 1L maintenance in patients aged ≥65 years with la/mUC that has not progressed following chemotherapy, suggesting that older age should not solely prevent a patient from receiving avelumab 1L maintenance.

Gastric adenocarcinoma (GAC) imposes a considerable global health burden. Molecular profiling of GAC from the tumor microenvironment perspective through a multi-omics approach is eagerly awaited in order to allow a more precise application of novel therapies in the near future.

To better understand the tumor-immune interface of GAC, we identified an internal cohort of 82 patients that allowed an integrative molecular analysis including mutational profiling by whole-exome sequencing, RNA gene expression of 770 genes associated with immune response, and multiplex protein expression at spatial resolution of 34 immuno-oncology targets at different compartments (tumorous cells and immune cells). Molecular findings were validated in 595 GAC from the TCGA and ACRG external cohorts with available multiomics data. Prediction of response to immunotherapies of the discovered immunophenotypes was assessed in 1039 patients with cancer from external cohorts with available transcriptome data.

Unsupervised clustering by gene expression identified a subgroup of GAC that includes 52% of the tumors, the so-called Inflamed class, characterized by high tumor immunogenicity and cytotoxicity, particularly in the tumor center at protein level, with enrichment of PIK3CA and ARID1A mutations and increased presence of exhausted CD8+ T cells as well as co-inhibitory receptors such as PD1, CTLA4, LAG3, and TIGIT. The remaining 48% of tumors were called non-inflamed based on the observed exclusion of T cell infiltration, with an overexpression of VEGFA and higher presence of TP53 mutations, resulting in a worse clinical outcome. A 10-gene RNA signature was developed for the identification of tumors belonging to these classes, demonstrating in evaluated datasets comparable clinical utility in predicting response to current immunotherapies when tested against other published gene signatures.

Comprehensive immunophenotyping of GAC identifies an inflamed class of tumors that complements previously proposed tumor-based molecular clusters. Such findings may provide the rationale for exploring novel immunotherapeutic approaches for biomarker-enriched populations in order to improve GAC patient's survival.

Methylglyoxal (MG) is a highly reactive aldehyde that is produced endogenously during metabolism and is derived from exogenous sources such as sugary food items and cigarette smoke. Unless detoxified by glyoxalases (Glo1 and Glo2), MG can readily react with all major biomolecules, including DNA and proteins, generating characteristic lesions and glycation-derived by- products. As a result, MG exposure has been linked to a variety of human diseases, including cancers. Prior studies show that MG can glycate DNA, preferentially on guanine residues, and cause DNA damage. However, the mutagenicity of MG is poorly understood in vivo. In the context of cancer, it is essential to comprehend the true contribution of MG to genome instability and global mutational burden. In the present study, we show that MG can robustly mutagenize induced single-stranded DNA (ssDNA) in yeast, within a guanine centered mutable motif. We demonstrate that genome-wide MG mutagenesis in ssDNA is greatly elevated throughout the genome in the absence of Glo1, and abrogated in the presence of the aldehyde quencher aminoguanidine. We uncovered strand slippage and mispairing as the predominant mechanism for generation of all MG-associated mutations, and demonstrate that the translesion polymerase Rev1 is necessary in this pathway. Finally, we find that the primary MG-associated mutation is enriched in a variety of sequenced tumor datasets. We discuss the genomic impact of methylglyoxal exposure in the context of mutagenesis, DNA damage, and carcinogenesis.

The human APOBEC superfamily consists of eleven cytidine deaminase enzymes. Among them, APOBEC3 enzymes play a dual role in antiviral immunity and cancer development. APOBEC3 enzymes, including APOBEC3A (A3A) and APOBEC3B (A3B), induce mutations in viral DNA, effectively inhibiting viral replication but also promoting somatic mutations in the host genome, contributing to cancer development. A3A and A3B are linked to mutational signatures in over 50% of human cancers, with A3A being a potent mutagen. A3B, one of the first APOBEC3 enzymes linked to carcinogenesis, plays a significant role in HPV-associated cancers by driving somatic mutagenesis and tumor progression. The A3A_B deletion polymorphism results in a hybrid A3A_B gene, leading to increased A3A expression and enhanced mutagenic potential. Such polymorphism has been linked to an elevated risk of certain cancers, particularly in populations where it is more prevalent. This review explores the molecular mechanisms of APOBEC3 proteins, highlighting their dual roles in antiviral defense and tumorigenesis. We also discuss the clinical implications of genetic variants, such as the A3A_B polymorphism, mainly in HPV infection and associated cancers, providing a comprehensive understanding of their contributions to both viral restriction and cancer development.