NAR Cancer

IDH1 R132 mutations are among the most frequent hotspot mutations in cancer, but their mutational origins have remained unclear. Here, we provide evidence that IDH1 R132C, the predominant IDH1 mutation in cholangiocarcinoma, acute myeloid leukemia, and melanoma, likely arises through APOBEC3-mediated mutagenesis. IDH1 R132C is a TpC>TpT substitution on the lagging-strand DNA template within a hairpin-forming sequence context, consistent with APOBEC3 susceptibility. In vitro assays showed that APOBEC3A can deaminate the relevant cytosine, and APOBEC3A and APOBEC3B were relatively highly expressed in tumor types with recurrent IDH1 R132C mutations. IDH1 R132G, a TpC>TpG substitution at the same site, may similarly result from APOBEC3 activity. By contrast, IDH1 R132H, the predominant IDH1 mutation in lower grade glioma and glioblastoma, is a CpG>TpG substitution at a methylated cytosine on the leading-strand DNA template, a pattern more consistent with DNA polymerase epsilon replication error. Concordantly, tumor types enriched for IDH1 R132H showed relatively low POLE expression. Together, these in vitro and bioinformatic analyses provide insight into the distinct mutational mechanisms that likely underlie recurrent IDH1 hotspot mutations in cancer.

Understanding which genes are involved in mutagenesis is essential for developing cancer prevention and treatment strategies; establishing protectors of the genome has revolutionized cancer biology. Here, we describe metallothionein (MT) proteins as previously uncharacterized protectors against mutagenesis. MT is a heavy metal binding protein essential for zinc homeostasis and protection against heavy metal cytotoxicity. Because zinc binds approximately 10-15% of the proteome and is critical for processes such as DNA repair and mitochondrial health, MT loss is expected to disrupt these processes. We hypothesized that MT loss induces genomic instability by impairing DNA repair and mitochondrial function. In this study, the consequences of MT deficiency in high-grade serous ovarian cancer (HGSC) were investigated by knockdown of the most highly expressed MT, MT2A. Loss of MT2A resulted in the impaired DNA repair pathway base excision repair (BER), leading to increased mutagenesis. MT2A deficiency produced mitochondrial dysfunction, characterized by a decrease in mitochondrial membrane potential, glycolysis, oxidative phosphorylation, amino acids, and an imbalance of nucleobases. Together, these defects reflect cellular states associated with increased cancer aggressiveness. These findings identify MT as a fundamental hub maintaining genomic and metabolic integrity.

APOBEC3B (A3B) is a single-stranded DNA cytosine deaminase overexpressed in cancer, where it causes genomic DNA damage and mutations associated with tumor evolution. Enforced A3B overexpression triggers a dependency on the replication-stress response in different cellular models. However, whether endogenous A3B in cancer cells might yield a similar vulnerability is unclear. Here, we investigate how endogenous A3B expression and catalytic activity affect sensitivity to CHK1 inhibition, using two cancer cell lines, JHOC5 and U2OS. A3B-expressing cancer cells are sensitive to two chemically distinct CHK1 inhibitors, GDC-0575 and Prexasertib. CHK1 inhibitor sensitivity is reduced by A3B CRISPR knockout and restored by re-expressing wildtype A3B in knockout cells. Moreover, an endogenous A3B-E255A catalytic mutant generated by homology-directed repair phenocopies the reduced CHK1 inhibitor sensitivity of A3B-null cells, demonstrating a DNA deamination-dependent mechanism. CHK1 inhibition induces replication-associated DNA damage and cell-cycle perturbation dependent on A3B expression. As a result, A3B-expressing cells accumulate more pan-nuclear {gamma}H2AX, aberrant DNA-content profiles, and an expanded EdU-negative S-phase population, which are hallmarks of stalled DNA replication. In comparison, A3B-null and A3B-E255A cells retain defined cell-cycle distributions and are less sensitive to CHK1 inhibition. Together, these findings identify endogenous A3B-catalyzed deamination as a therapeutically actionable source of replication-associated DNA damage that renders tumor cells selectively dependent on CHK1 function. Statement of significanceAPOBEC3B causes mutations in cancer cells and simultaneously imposes DNA replication stress. This combines to sensitize tumor cells to chemical inhibitors of the DNA damage response kinase CHK1.

Spatial transcriptomics (ST) has revolutionized our understanding of tumor biology but inherently lacks information on the upstream somatic driver mutations. We developed a spatially-aware graph convolutional neural network (MuT-GCNN) that infers TP53 clones directly from ST data. MuT-GCNN was trained on virtual ST slides with clones simulated from a large collection of existing RNA and matched DNA sequencing data. The model is highly performant with precision and recall values exceeding 95% in most analysed cancer types. It is sensitive for single hit mutations and is primarily informed by the expression of p53 signalling genes in cancer cells. After demonstrating the potential of the model on publicly available squamous cell carcinoma (SCC) data, a direct validation was performed using ST and matched DNA sequencing from serial slices obtained from 4 cutaneous SCC samples. With the increasing availability of ST data and upcoming ST atlases, MuT-GCNN can unveil the location of (sub)clonal alterations in TP53, the most frequently mutated gene in human cancer.

Oncogenes and tumor-suppressor genes play opposing roles in cancer biology to promote and restrict growth, respectively. Codon usage patterns interface with tRNA modifications to control translation, leading to gene-specific codon signatures with regulatory potential. As such, codon-biased translational regulation has been identified as a driver of proliferation and drug resistance in multiple cancers. We used advanced codon analytics methods to characterize and compare codon usage bias in oncogenes and tumor suppressor genes (TSGs) from humans and mice at group and gene-specific levels. We demonstrate that human oncogenes exhibit a distinct and opposing codon usage pattern to TSGs. This phenomenon is also present in mice but with less distinct oncogene bias relative to humans. Further comparison to 447 gene ontology groups demonstrated that human oncogenes have the most distinct codon usage patterns in the genome, while also highlighting that codon bias can separate functionally related genes and pathways from other biological processes. Using gene-specific codon analytics, we determined that human oncogenes have two types of extreme codon bias: a large group (N = 43) over-using G/C ending (GC3) codons and a smaller group (N = 12) over-using A/U (AU3) ending codons. While GC3 bias has been linked to increased translation in general, the AU3 finding suggests that genetic, environmental, or stress-related signals could drive the translation of this small group of oncogenes. The less extreme bias observed in mouse oncogenes and tumor suppressors likely underscores species-specific differences in oncogenic translation programs. Together, our findings highlight codon usage bias as a potential determinant of oncogene expression, provide a framework for ontology-based codon analysis, and uncover on species-specific differences in oncogene translation and codon usage biases.

Copy number alterations (CNAs) are major contributors to genomic instability in cancer, and copy number signatures (CNS) provide a compact representation of the processes shaping CNA landscapes. However, the relationships among existing CNS frameworks and their predictability from molecular data other than whole-genome sequencing remain unclear. Here, we compare three major CNS compendia across more than 5,800 TCGA cancer samples, evaluating their overlap, complementarity, biological relevance, and prognostic associations. Individual signatures showed limited cross-study concordance, whereas signature-derived clusters identified biologically distinct patient groups, including favorable-outcome clusters observed across all frameworks. Using gene expression, DNA methylation, somatic mutation features, age, and tumor purity, XGBoost models predicted cluster membership with framework-dependent performance, achieving high F1-scores for the Drews and Steele compendia but limited performance for Tao. Feature importance analysis highlighted expression-driven predictors and pathways linked to genomic instability. These findings show that current CNS frameworks capture complementary rather than interchangeable dimensions of tumor genome instability and suggest that multi-omic profiles can extend signature-based stratification to cohorts without whole-genome sequencing.

The mutational landscape of neural innervation axes in cancer has garnered increasing attention due to their significant influence on tumorigenesis, metastasis, and treatment resistance. This study provides an overview of the alterations of neural signaling pathways based on multi-omics data analysis. In particular, we conducted a comprehensive analysis of mutations in key genes associated with neurotrophin signaling, norepinephrine and cholinergic pathways, alongside paracrine and synaptogenic factors. Our findings reveal that 65% of patients in a pancancer cohort exhibit at least one somatic alteration in these pathways, with neurotrophin genes being the most frequently altered. Notably, alterations in these genes (e.g., NGF) correlate with poor patient survival across various cancer types, suggesting their oncogenic potential. We also identified significant co-occurrence of mutations and differential expression patterns from both bulk and single-cell RNAseq data, indicating complex interactions among these pathways that contribute to tumor innervation and neuroplasticity. This study underscores the necessity of understanding the crosstalk between neural signaling and cancer biology to improve patient stratification based on mutational profiles and identify potential therapeutic targets. Further research utilizing advanced genomic techniques is essential to elucidate the mechanistic roles of these pathways in tumor innervation.

This study proposes a novel therapeutic strategy to suppress cancer growth by modulating the MDM2-p53 axis via Alternative Polyadenylation (APA). MDM2 normally promotes tumorigenesis by ubiquitinating and degrading the tumor suppressor p53. In cancer cells, preferential use of proximal polyadenylation signals (PAS) results in shortened 3'UTRs, allowing oncogenic transcripts like MDM2 to evade nuclear sequestration mediated by Inverted Alu (IRAlu) double-stranded RNA structures. We hypothesized that forcing distal PAS usage would elongate the MDM2 mRNA, promoting its nuclear retention and reducing protein translation, thereby restoring p53 activity. Using CRISPR-Cas9, we targeted and deleted the most frequent proximal PAS in the MDM2 3'UTR of A549 cells. Successful genome editing was confirmed via PCR. As expected, Western blot analysis showed a significant reduction in MDM2 expression in PAS-edited cells. However, experimental outcomes contradicted our initial hypothesis: edited cells exhibited higher viability under doxorubicin treatment compared to wild-type cells. Furthermore, despite decreased MDM2 levels, a concurrent reduction in phosphorylated p53 (p-p53) was observed. These unexpected results suggest that MDM2 3'UTR elongation may trigger a non-canonical regulatory mechanism that bypasses the traditional MDM2-p53 interaction. This study highlights the complexity of post-transcriptional regulation and suggests that APA-mediated gene modulation can induce unforeseen compensatory survival pathways in cancer cells, necessitating further investigation into the broader functional landscape of elongated 3'UTRs.

MYC oncoprotein binding at promoters and enhancers influences RNA polymerase II (RNAPII)-driven gene expression. Numerous genes also bind MYC near their transcriptional end sites (TESs). This often allows direct promoter-TES contact via looping and further regulates total and 'read-through' transcription that extends beyond standard termination sites. We aimed here to better clarify the rules governing TES associated MYC and/or RNAPII binding cross-talk in human and murine cells. Using ChIPseq and RNAseq datasets from the ENCODE portal and elsewhere, MYC and RNAPII binding profiles were found to differ around TESs and transcriptional start sites (TSSs). Variations in E box flanking sequences likely accounted for the somewhat lower affinities of MYC for TES-associated sites. Motifs for numerous other transcription factors were also observed to cluster non-randomly and in close proximity to MYC and RNAPII binding site peak summits. On average, genes with TES-proximal MYC or RNAPII sites were more highly expressed than those without, although co-binding tended to be suppressive. Both normal and neoplastic proliferative stimuli altered the MYC and RNAPII binding patterns of many genes, indicating that 'category switching' was common, subject to disparate external signals and often reversible. Functionally related gene sets with high levels of read-through transcription were uniformly marked by significant amounts of TES-associated MYC and/or RNAPII binding. These findings indicate that, both independently and together, MYC and RNAPII binding near TESs dynamically impact total and read-through transcription while also coordinating the expression of many common purpose gene sets.

Alternative splicing coupled to nonsense-mediated mRNA decay (AS-NMD) evolved as a master regulator of gene expression. Dysregulated AS-NMD has been identified as the root of many human maladies, from developmental defects to deadly cancer. Poison exons (PEs) are highly conserved alternative exons that contain a premature termination codon and elicit AS-NMD when included in a transcript. Cancer cells often exploit the inclusion of PEs to downregulate tumor suppressors or the exclusion of PEs to upregulate oncoproteins. Therefore, PEs have drawn significant attention as a novel therapeutic avenue for cancer and other diseases. Here, we examine a therapeutic proof-of-concept for manipulating PE-mediated oncogenic AS-NMD using a CRISPR-based approach. Using paired guide RNA, we successfully deleted a PE of a tumor suppressor (EZH2) from the genome of SRSF2-mutated leukemia. This editing resulted in EZH2 mRNAs without a PE, escaped AS-NMD, and restored the protein expression. This subsequently reinstated H3K27 histone methylation and rescued defective chromatin regulation associated with impaired hematopoietic stem cell differentiation. Finally, we showed the preferential advantages of CRISPR over the antisense technology we recently developed targeting the PE of EZH2. Therefore, the CRISPR strategy shows compelling evidence as a therapeutic approach targeting PE in cancer and other human diseases.

Aptamers are emerging as important molecular recognition ligands in oncology, playing significant roles in cancer diagnostics, targeted therapies, drug delivery systems, and molecular imaging. Numerous aptamers have advanced to clinical trials, indicating their potential for real-world applications; however, existing databases fail to capture that. To bridge this critical gap, we developed AptCancerDB (https://webs.iiitd.edu.in/raghava/aptcancerdb/), a comprehensive, manually curated database of experimentally verified anticancer aptamers. The current release contains 1,941 entries collected from studies published between 2000 and 2025, covering 29 cancer types, approximately 200 cancer cell lines, and direct links to 22 clinical trials. Each entry is annotated with sequence information, target details, cancer type, cell line, SELEX methodology, affinity determination data, chemical modifications, and biological activities. The dataset is dominated by 82.7% ssDNA, reflecting its superior stability and ease of synthesis, while only 16.6% is ssRNA and appears primarily in studies targeting complex intracellular or protein-protein interactions. To facilitate structural analysis, predicted secondary structures, dot-bracket notations, specific structural elements, and minimum free energy values were also included. AptCancerDB integrates a MySQL backend with an ArcadeDB/OpenCypher-based Knowledge Graph, enabling exploration of relationships among aptamers, targets, cancer types, cell lines, and functional applications. The platform provides advanced search and browsing facilities, BLASTn-based similarity searching, and GC Calculator. Built on a modern, responsive frontend (React/TypeScript/Tailwind CSS), the platform includes a REST API for data retrieval. By integrating fragmented experimental data into a unified cancer-focused resource, AptCancerDB serves as a valuable resource for comparative analysis, aptamer discovery, and the development of next-generation aptamer-based diagnostics and therapeutics. HighlightsO_LICurated knowledge base of experimentally validated anticancer aptamers. C_LIO_LIAptCancerDB contain therapeutic, tumor-homing and cell-penetrating aptamers. C_LIO_LISummarizes clinical progress and translational trends in anticancer aptamer research. C_LIO_LISupports rational aptamer design using molecular, functional, and clinical annotations C_LIO_LIDisease-focused resource for cancer diagnosis, therapy, and drug delivery C_LI TeaserAptCancerDB maintains experimentally validated anticancer aptamers relevant to diagnosis, drug delivery, and therapy.

Dysregulation of actin-binding protein Profilin1 (Pfn1) in tumor cells has prominent impacts on the tumor-intrinsic aspects of tumor progression. However, whether and how modulation of Pfn1 expression in tumor cells influences immune surveillance in cancer is not known. We utilized an inducible CRISPR/Cas9 knockout (KO) model to first demonstrate that triggering Pfn1 depletion in breast cancer cells leads to features of genomic instability (polyploidy, micronuclei, and DNA damage) and intrinsic defects in both homologous-recombination- and non-homologous end-joining-mediated double-stranded DNA repair. Pfn1-deficient breast cancer cells exhibit nuclear envelope abnormality and the accumulation of cytosolic DNA. This leads to activation of the nucleic acid-sensing cGAS-STING pathway and the type-I interferon (IFN) response including STING-mediated upregulation of pro-inflammatory chemokines. In an immunocompetent mouse model of breast cancer, triggering Pfn1 loss selectively in tumor cells promotes an immunogenic tumor microenvironment marked by a striking increase in intratumoral presence of CD8 T cells, leading to a robust tumor regression. Pfn1 knockout-induced tumor regression requires an intact immune system and can also be reversed by CD8+ T cell depletion. Based on these findings, we conclude that Pfn1 loss in tumor cells leverages a type I IFN response to drive a T-cell-mediated anti-tumor response in breast cancer. These findings for the first time reveal promising therapeutic opportunities in targeting Pfn1-driven pathways to enhance immunotherapeutic outcomes in breast cancer. Significance StatementExpression of actin-binding protein Profilin-1 is frequently altered in cancer; yet how these changes impact the immune response against tumors is unclear. Here we show that triggering Profilin-1 depletion in breast cancer cells promotes features of genomic instability, defects in DNA repair, and cytosolic release of DNA. This activates the cGAS-STING pathway, triggering a type I interferon response and immune-cell-attracting signals that drive a CD8+ T cell-mediated anti-tumor immune response and tumor regression in vivo. Therefore, Profilin-1 could be a novel actionable target for achieving immunological benefit in breast cancer. On a broader level, our studies establish a conceptual framework of how dysregulation of actin cytoskeletal proteins can harness nuclear damage-sensing signaling to augment anti-tumor immune response in cancer.

Decades of research have shown that tumor hypoxia is associated with resistance to anti-cancer treatments. Analysis of TCGA gene expression profiles indicates that NSCLC is among the most hypoxic of cancers despite the high levels of oxygen in the surrounding lung tissue. Several groups have shown that extrinsic factors such as poorly formed tumor vascular contributes to tumor hypoxia. Here, we have investigated the possibility that genetic abnormalities within the tumor also contribute to the development of hypoxia. Our analysis of NSCLC patient datasets in the Cancer Genome Atlas (TCGA) PanCancer and ORIEN datasets revealed a strong correlation between tumor hypoxia and amplification of chromosome 3q which is found in up to 40% of NSCLC. Several oncogenic driver genes have been identified in 3q, and we identified a passenger gene encoding mitochondrial complex I subunit NDUFB5 at 3q26.33. To provide experimental evidence that NDUFB5 amplification can drive tumor hypoxia, we have used CRISPR activation technology to generate murine cells overexpressing the endogenous NDUFB5 gene. We found that cells overexpressing NDUFB5 have elevated rates of oxygen consumption, and tumors grown from these cells have increased amounts of hypoxia with associated treatment resistance. Here, we investigate the impact of manipulating NDUFB5 gene expression on mitochondrial complex I activity and experimentally validate the clinical observations that NDUFB5 overexpression leads to increased levels of intratumoral hypoxia and increased resistance to radiation therapy and immunotherapy.

Anthracyclines are highly effective chemotherapeutic agents that cause DNA and chromatin damage. One member of the anthracyclines, aclarubicin, has recently gained therapeutic interest due to its ability to kill cancer cells through chromatin-based mechanisms, thus avoiding the off-target effects associated with DNA damage. Despite this, the molecular mechanism of action leading to aclarubicin-induced chromatin damage remains elusive. Here we performed Cleavage Under Targets and Tagmentation (CUT&Tag) of RNA polymerase II (Pol II) and other transcriptional regulators in human cells during aclarubicin treatment. We found that aclarubicin strongly disrupts the replication-coupled histone genes, resulting in a nonproductive accumulation of Pol II-transcription machinery here beyond the levels at other genes. We attribute this sensitivity to the dense Pol II loading and rapid transcription of the histone genes, which intensify the chromatin-disrupting effects of aclarubicin at these loci. Together, our findings support the effectiveness of aclarubicin as an anticancer drug and point to the histone gene cluster as a promising target for therapeutic intervention.

The information content of the genome has been extensively analyzed. However, a comparable quantitative framework for DNA methylation is still lacking. Without such quantification, the magnitude of this regulatory and dynamic epigenetic structure remains conceptually imprecise, even though methylation dysregulation is strongly linked to disease-related phenotypes and altered cellular identity. Here we address this gap by applying Shannon information theory to DNA methylation. We first consider methylation marks as binary or probabilistic regulatory states and estimate the theoretical upper-bound information capacity of the human methylome under simplifying assumptions. We then progressively refine this estimate by incorporating biologically relevant constraints, including methylation bias, bimodal methylation distributions, local CpG correlation, genomic regulatory class, and cell-type-discriminative methylation patterns. This approach allows us to distinguish between theoretical methylation capacity, statistical methylation entropy, and biologically interpretable regulatory information. Finally, we consider methylation information from a discriminative perspective, analyzing its contribution to distinguishing cell types and regulatory cellular states. Within this framework, mutual information between methylation patterns and cell identity provides a biologically constrained estimate of methylations role as an epigenetic identity code. Our layered analysis reconciles megabit-scale methylome capacity with compact, biologically interpretable identity signatures. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/735086v1_ufig1.gif" ALT="Figure 1"> View larger version (73K): org.highwire.dtl.DTLVardef@f0f0fdorg.highwire.dtl.DTLVardef@5d8a1eorg.highwire.dtl.DTLVardef@116debdorg.highwire.dtl.DTLVardef@79530e_HPS_FORMAT_FIGEXP M_FIG C_FIG

TAOK3 is a lesser-studied MAPK family serine/threonine kinase our group has shown to be targeted by HPV integration, suggesting a potential role in driving invasive cervical cancer (ICC). Here, we profiled TAOK3 expression in patient tumors, metastases, and cervical cancer models and localized TAOK3 within a tumor epithelial subpopulation by integrating two single-cell RNA-seq datasets. Functional consequences of TAOK3 loss were assessed with siRNA and CRISPRi in cell lines and 3D spheroids. In vivo effects were evaluated in intracervical xenografts with species-specific RNA-seq to resolve tumor versus microenvironmental responses. TAOK3 mRNA/protein were elevated in primary and metastatic ICC and primarily localized to a keratin-positive epithelial subset (T3epi) enriched for cadherin/S100 binding, vesicle/endocytic pathways, and leading-edge programs. TAOK3 silencing reprogrammed transcriptomes and proteomes toward reduced WNT/cell-cycle and motility signaling, altered endocytosis and cytoskeleton organization, and reshaped phospho-networks linked to chromatin remodeling and ERBB2-ERBB3/cytoskeletal kinase activity. Functionally, TAOK3 inhibition prolonged G2/M, suppressed invasion, and enhanced sensitivity to low dose paclitaxel. Prolonged inactivation induced methuosis-like cell death with extracellular ATP release. In xenografts, TAOK3 knockdown reduced tumor burden, downregulated KRT14--a leader cell marker--within the human tumor compartment, and enriched microenvironmental pathways for immune activation, with a specific decrease in CD206+ M2 macrophages. TAOK3 delineates an invasion-competent epithelial state in ICC and coordinates cell-cycle control, cytoskeleton-membrane dynamics, and tumor-immune crosstalk. Genetic or pharmacologic TAOK3 inhibition constrains tumor growth, potentiates paclitaxel, and remodels the microenvironment toward anti-tumor immunity, supporting TAOK3 as a potential therapeutic target and biomarker in ICC. Statement of SignificanceTAOK3 marks an invasion-competent epithelial subpopulation in cervical cancer. TAOK3 inhibition slows tumor growth, enhances chemoresponse, and reduces M2 macrophages, revealing TAOK3 as a potential therapeutic target and biomarker for patient stratification.

BackgroundThe KMT2D histone 3-lysine 4 methyltransferase (also known as MLL4) is a critical chromatin regulator, which is frequently inactivated by gene mutations in various types of cancer including colorectal cancer (CRC). Several lines of evidence suggest a strong association between chromatin regulation, tumor immunity and drug sensitivity. To explore the role of KMT2D in tumor immunity, we analyzed genomic and clinical datasets from The Cancer Genome Atlas and Memorial Sloan Kettering Cancer Center for various cancer entities. ResultThe results showed that KMT2D-mutated CRCs displayed a significantly higher expression of immune checkpoint regulators including PD-L1, CTLA4 and CD8 when compared to KMT2D wild-type CRCs. Mutations in KMT2D correlate with elevated T-effector and interferon-{gamma} gene signatures indicating infiltration with active immune cells. By performing immune cell deconvolution from transcriptomic data, CRCs harboring KMT2D mutations are associated with increased infiltration of CD8+ T cells, NK cells and macrophages, but they display low amounts of Treg cells suggesting that KMT2D loss-of-function mutations correlate with an immunologically "hot tumor" phenotype. Furthermore, patients with KMT2D mutant CRC displayed better clinical responses to immune checkpoint inhibitor (ICI) therapy with an improved overall patient survival compared to patients with KMT2D wild-type CRC. Importantly, this effect did not exist in cohorts of CRC patients, which have not been treated with immunotherapies. To further understand the differential drug response effect related to KMT2D, we treated wild-type and KMT2D inactive epithelial cells with various cancer drugs. KMT2D mutant cells exhibited increased DNA damage and higher sensitivity to cisplatin in comparison to KMT2D wild-type cells. ConclusionsKMT2D loss-of-function mutations are associated with a positive outcome of immunotherapy efficacy in CRC and responses to cisplatin treatments. The stratification of CRC patients by KMT2D gene status may enable personalized approaches by identifying CRC patient populations that benefit from ICI therapy and chemotherapy.

The m6A methyltransferase METTL3 functions as a critical oncogenic driver in triple-negative breast cancer (TNBC). However, its specific downstream targets and mechanistic functions in less metastatic TNBC subtypes remain poorly characterized. To address this, we evaluated METTL3 expression and the phenotypic effects of its siRNA-mediated knockdown in normal mammary epithelial (MCF10A), low-metastatic TNBC (HCC1143), and high-metastatic TNBC (MDA-MB-231) cell lines. We assessed global m6A levels, cell viability, cell cycle progression, and migration. To uncover specific downstream pathways, transcriptomic profiling was performed on HCC1143 cells, followed by RT-qPCR validation and m6A site prediction. METTL3 depletion reduced global m6A levels and cell viability across all cell lines. Notably, in low-metastatic HCC1143 cells, METTL3 knockdown induced a pronounced G2/M cell cycle arrest and dramatically impaired migratory capacity. Transcriptomic analysis of HCC1143 revealed altered expression of genes associated with the observed phenotypic changes. Specifically, critical transcripts harboring predicted m6A motifs, including LIMK1, CCNB2, and CDH1, were significantly dysregulated, pointing to potential alterations in pathways governing cytoskeletal remodeling, actin organization, and cell-cell adhesion. Taken together, we propose that METTL3 promotes cell viability and motility in low-metastatic TNBC by regulating key transcripts involved in cell cycle progression and actin dynamics. Significance StatementEpitranscriptomic studies on TNBC predominantly focus on highly metastatic models, leaving less aggressive subtypes poorly understood. This study uniquely addresses this gap by investigating the function of METTL3 in HCC1143, a low-metastatic TNBC cell line, alongside aggressive TNBC cell lines. We discovered that METTL3 depletion uniquely triggers a severe halt in cell division (G2/M arrest) in HCC1143 cells, while universally disrupting actin-associated cell motility across different backgrounds. These findings demonstrate that METTL3 acts as a context-dependent modulator of cell fate rather than a monolithic driver. Ultimately, highlighting these distinct cellular responses underscores the need to consider specific molecular backgrounds when evaluating epitranscriptomic targets in heterogeneous cancers, such as TNBC.

Patient-derived organoids (PDOs) have transformed translational cancer research, allowing tractable models that better represent clinical features than traditional immortalized cell lines. Here we describe two PDOs with differential responses to carboplatin derived from sequential ascites fluid collections from a patient with high-grade mullerian carcinoma, that could not be further subclassified on the omental biopsy. Uterine origin was clinically excluded by pelvic imaging/CT scan of the uterus and absence of vaginal bleeding. Successful derivation from independent collections enabled comparison of intra-patient heterogeneity across sequential ascites samples and demonstrates that PDO efficiency rate is at least partly patient-specific or tumor-dependent. We performed long-read whole genome sequencing on the two PDOs, OC104 and OC109, to better characterize the structural variant landscape while also obtaining information on single nucleotide variants and DNA methylation. In addition to confirming single nucleotide variants noted in clinical sequencing (TP53, KRAS, SPOP, PPP2R1A, KMT2D), we identified additional variants in TSC2, NCOR2, and CTNNA2 that are predicted to be likely pathogenic. The spectrum of mutations, particularly the coincident KRAS and TP53, highlighted unexpected overlap with ovarian mucinous carcinoma. We also identified larger insertions and deletions that result in non-synonymous variants in MUC5AC, TPRX1, and BMX, as well as four translocation events, including two that could not have been resolved with short-read sequencing. Differentially methylated promoters between the two PDOs include 201 oncogenes and tumor suppressor genes, with HNF1A, MSI2, and SETBP1 having methylation directions consistent with these genes' roles in platinum response differences observed between the PDOs. Notably, the clonal nature of PDOs produced from two samples taken one week apart is important for the field to appreciate, particularly since they have clonal differences in platinum response. The temporal differences in clonality may indicate a limitation of low volume sampling, however may provide opportunity to longitudinally predict clinical outcomes. We also demonstrate the ability of long-read sequencing to add detail into the genomics and epigenetics of ovarian cancer.

Microsatellite-stable/microsatellite instability-low colorectal cancer (MSS/MSI-L CRC) is generally resistant to immune checkpoint blockade, but the biological states underlying this resistance are heterogeneous. We integrated TCGA COAD/READ patient transcriptomic profiles, MSIsensor-based MSS/MSI-L classification, curated immune and stromal module scoring, focused differential expression and DepMap CRISPR dependency data to prioritize candidate vulnerabilities in immune-cold MSS CRC. Among 494 MSS/MSI-L tumours, 218 were classified as MSS intermediate, 102 as MSS immune-cold, 91 as MSS hot/inflamed and 83 as MSS barrier-high. MSS immune-cold tumours showed lower cytotoxic, IFN{gamma}-chemokine and antigen-presentation programmes than MSS hot/inflamed tumours, including reduced NKG7, CD8A, CXCL9, CXCL10 and LAG3 expression. MSS barrier-high tumours showed enrichment of stromal and extracellular-matrix programmes, including COL1A1, COL1A2 and COL3A1. Integration with DepMap CRISPR gene-effect data from 1208 cancer models, including 63 colorectal cancer models, separated tumour-cell-intrinsic dependencies from patient-derived microenvironmental signatures. Candidate target classes included ERBB2, VEGFA, PIK3CB, ATR/WEE1/CHEK1, HDAC1/HDAC3/BRD4 and BCL2L1/MCL1, while collagen genes were interpreted as stromal-barrier markers rather than tumour-cell dependencies. ERBB2 expression was higher in MSS immune-cold than MSS hot/inflamed tumours and further elevated in MSS barrier-high tumours, supporting ERBB2 as a candidate subset-associated signal that requires orthogonal HER2 validation. These findings support a stratified therapeutic framework for immune-cold, barrier-high and intermediate MSS CRC.