SEARCH · PubMed Health

Results for “oncogenic driver”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources

PubMed2026

Multi-cohort integration and machine learning identify CPVL as a novel oncogenic driver in gastric cancer.

BACKGROUND: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, and the prognosis of advanced GC remains poor. Systematic identification of robust biomarkers through multi-cohort integration and computational prioritization may facilitate the discovery of novel therapeutic targets. AIM: To identify key genes associated with gastric cancer progression through integrative multi-omics analysis and to elucidate the biological functions and molecular mechanisms of the top-prioritized candidate gene. METHODS: Comprehensive bioinformatics analyses integrating The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) datasets were performed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), Cox regression, and eight machine-learning algorithms to systematically identify and prioritize GC-associated hub genes. Among the identified candidates, CPVL was selected for further validation based on its diagnostic and prognostic performance. CPVL expression and clinical relevance were validated by independent datasets and immunohistochemistry. Lentiviral constructs were used to overexpress or silence CPVL in GC cell lines. Functional assays were performed, including CCK-8, colony formation, EdU incorporation, and flow cytometry, to assess cell proliferation and cell-cycle distribution. Western blotting and JAK2 inhibitor (AZD1480) rescue experiments were performed to elucidate the underlying mechanisms, and a nude mouse xenograft model was used to evaluate tumorigenicity in vivo. RESULTS: Multi-cohort screening identified five hub genes (CPVL, AADAC, BCAT1, CPXM1, and FBN1). Among them, CPVL exhibited the highest diagnostic accuracy (AUC = 0.895) and the strongest correlation with poor overall survival, and was therefore selected for mechanistic investigation. CPVL expression was markedly upregulated in GC tissues and cell lines. Functional assays demonstrated that CPVL promotes GC cell proliferation and accelerates G1/S-phase transition. Mechanistically, CPVL activated the JAK2/STAT3 signaling pathway, upregulating Cyclin D1 and CDK4 while downregulating p27. Treatment with the JAK2 inhibitor AZD1480 partially reversed these effects. In vivo, CPVL knockdown significantly inhibited tumor growth. CONCLUSION: Through systematic multi-cohort integration and machine-learning prioritization, CPVL was identified as a novel oncogenic driver in gastric cancer. CPVL promotes tumor growth via activation of the JAK2/STAT3 pathway and regulation of the Cyclin D1/CDK4/p27 axis, highlighting its potential as a diagnostic biomarker and therapeutic target.

Biomarker↗

PubMed2025

Novel strategies for rare oncogenic drivers in non-small-cell lung cancer: An update from the 2024 Annual ESMO meeting.

Across the landscape of oncogene-addicted non-small-cell lung cancer (NSCLC), various tyrosine kinase inhibitors (TKIs) have been introduced in the last twenty years. During the 2024 Annual ESMO meeting new therapeutic options were presented for EGFR exon 20 insertion mutation, ALK fusion and ROS1 fusion positive advanced stage NSCLC. For EGFR exon 20 insertion mutation positive NSCLC, results from REZILIENT-1, a single arm phase II study with zipalertinib, were presented, showing an objective response rate (ORR) of 50% in patients that were pretreated with amivantamab, and 25% in patients pretreated with amivantamab and an EGFR exon 20 insertion-directed TKI. The vast majority of these patients also received platinum-doublet chemotherapy. For ALK, results from ALKOVE-1, a single arm phase I/II study with NVL-655, a next generation ALK TKI, were presented. The ORR was 35 % in patients pretreated with ≥ 2 ALK TKIs including lorlatinib and 57 % in patients pretreated with ≥ 1 ALK TKI, excluding lorlatinib. The median number of prior anticancer therapies was 3. Intracranial responses were seen in lorlatinib naïve- and lorlatinib pretreated patients and toxicity was manageable. In addition, results of the first-line randomized phase III INSPIRE study were presented, in which iruplinalkib, an ALK and ROS1 selective TKI, is being evaluated versus crizotinib. Iruplinalkib showed a superior median PFS (36.8 versus 14.55 months for crizotinib), but no difference in 36-month overall survival (OS) rate. Finally, results from ARROS-1, a single arm phase I/II study with zidesamtinib, a ROS1 selective and TRK-sparing TKI, were presented. An ORR of 73% was obtained in patients that were pretreated with crizotinib and an ORR of 38% in patients pretreated with repotrectinib. In this review, we will discuss the relevant study results presented at ESMO 2024 for these three genomic drivers and hypothesize on their respective place in the sequence of treatment options.

Humans↗

PubMed2025

Characterization of a PRKCE::ETV6 fusion as a potential oncogenic driver in T-cell acute lymphoblastic leukemia.

BACKGROUND: T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy caused by mutation accumulation during hematopoiesis. The characterization of chromosomal abnormalities may provide significant insights into genetic mechanisms of malignant transformation in hematopoietic cells. However, T-ALL is genetically very heterogenous and driving mutations as well as clonal markers for the assessment of minimal residual disease are not always identifiable. Hence, there is a clinical need to further refine the genetic landscape of T-ALL including previously unrecognized fusion partners of commonly translocated genes in T-ALL of childhood. RESULTS: In this study, we screened n = 229 T-ALL cases by our targeted genomic capture high-throughput sequencing (gc-HTS) approach. In total, we identified n = 60 gene–gene fusions, present in n = 57 (25%) of the patients. Nine rare or even unrecognized translocations were identified and validated. Furthermore, owing to its interesting chromosomal structure, we studied the oncogenic potential of the complex rearrangement of chromosome 2 and 12, found in a near-early T-cell progenitor (ETP) ALL that leads to the fusion events PRKCE::ETV6 and ETV6::INO80D. Exogenous expression of PRKCE::ETV6 in Ba/F3 pro-B and D1 T-cells caused interleukin-independent proliferation and enhanced survival upon interleukin withdrawal, respectively. CONCLUSION: Our study underlines the heterogenous mutational landscape in T-ALL. The previously unrecognized PRKCE::ETV6 resulting from a complex rearrangement involving chromosome 2 and 12 demonstrated transforming potential in cytokine-dependent cellular models support the notion of a driver mutation in near ETP-ALL. Our data reconfirm the relevance of ETV6-fusion proteins in the pathogenesis of undifferentiated T-ALL. Importantly, genomic breakpoints at the ETV6 locus represent potentially robust MRD markers for (near) ETP-ALL that lack IG/TR rearrangements.

ETV6::INO80D↗

PubMed2025

MIF as an oncogenic driver of low-heterogeneity melanomas.

Identifying targets involved in tumor evolution and immune escape is an active area of research in oncology. Macrophage migration inhibitory factor (MIF) is an upstream immunoregulatory cytokine that promotes transformed cell proliferation and survival, and generates a tumor-permissive immune landscape of immunosuppressive myeloid and T cells. Shvefel and colleagues have identified a key role for MIF in tumor progression in melanoma clones with low tumor heterogeneity. These findings provide important insights into the potential therapeutic utility of MIF antagonists and support ongoing research to utilize MIF pathway inhibitors for improved therapeutic outcomes.

Animals↗

PubMed2026

ZUP1 as a Novel Potential Oncogenic Driver and Prognostic Biomarker in Breast Cancer.

INTRODUCTION: Breast cancer is one of the main causes of cancer death in women globally. Identifying new predictive markers and therapeutic targets is important for improving patient outcomes. Zinc finger-containing U-rich RNA-binding protein 1 (ZUP1) is an RNA-binding protein containing a zinc finger structure that has not been systematically analyzed in breast cancer research. MATERIALS AND METHODS: The study used data from 1,231 samples from the Cancer Genome Atlas (TCGA) database. The ZUP1 expression in tumor tissues and normal tissues was compared. Its predictive value was assessed using survival analysis and regression models. Its biological role was explored through gene functional analysis. The immune cell analysis method was used to study the tumor immune environment, and the drug susceptibility database was used to predict drug responses. Predictive models were also built and validated. RESULTS: ZUP1 expression was significantly higher in breast cancer tissues than in normal tissues. High expression of ZUP1 is related to advanced tumor stage and is an independent indicator of poor survival prognosis in univariate and multivariate analyses. Functional enrichment revealed that ZUP1 is closely linked to cell cycle progression, DNA replication, and the Fanconi anemia (FA) pathway. Immune infiltration analysis demonstrated a significant negative link between ZUP1 levels and the abundance of resting mast cells and activated NK cells. Furthermore, high ZUP1 expression was associated with increased sensitivity to several targeted therapies, including Nutlin-3a and PD-0325901. A clinically applicable nomogram combining ZUP1 expression with key clinical factors (age, stage, T, N, M) was developed to predict 3- and 5-year OS with good calibration and discrimination. DISCUSSION: Our study identifies ZUP1 as a potential oncogenic factor and a robust independent prognostic biomarker in breast cancer. Its involvement in critical cellular processes and modulation of the tumor immune microenvironment highlights its potential as a novel therapeutic target. Functional experiments, including immunohistochemical staining and CCK8 proliferation assays, further supported the oncogenic role of ZUP1. The established nomogram provides a valuable tool for personalized risk assessment and clinical decision-making. CONCLUSION: Our findings suggest that ZUP1 is a novel multifaceted biomarker with significant implications for personalized treatment strategies in breast cancer.

ZUP1↗

PubMed2025

Investigating the genomic landscape of mouse models of breast cancer metastasis.

Metastasis remains a major cause of cancer mortality. AbstractThis study, expanding upon previous findings in the MMTV-PyMT model, investigated four independent mouse models, representing luminal (MMTV-PyMT, MMTV-Myc), HER2-amplified (MMTV-Her2) and triple negative (C3(1)TAg) breast cancer subtypes. Consistent with previous results, limited evidence for metastasis-associated somatic point mutations was found for all models. We also found that oncogenic drivers significantly influenced the number and size of metastasis-specific copy number variations (MSCNVs), but common driver-independent MSCNVs were rare. Furthermore, analyzing a cohort with varying genetic backgrounds while maintaining a constant oncogenic driver (PyMT) revealed that genetic background profoundly impacts MSCNVs. Transcriptome analysis demonstrated that oncogenic drivers strongly shaped metastasis-specific gene expression (MSGE), with each driver exhibiting distinct expression profiles. In contrast, MSGE in the PyMT-F1 cohort was more variable across strains. Despite the diversity of MSCNV and MSGE, functional analysis revealed that both mechanisms converge on the modulation of key cellular processes, including immune responses, metabolism, and extracellular matrix interactions. These findings emphasize the complex interplay between oncogenic drivers and genetic background in shaping the genomic and transcriptional landscapes of metastatic lesions.

Journal Article↗

PubMed2026

Characteristics of fusion genes in breast cancer.

Fusion genes, arising from aberrant genomic rearrangements, represent critical oncogenic drivers with distinct oncogenic functions. Although relatively uncommon in breast cancer, accumulating evidence suggests that fusion genes contribute to tumor initiation, progression, and therapeutic resistance. This review first summarizes the molecular mechanisms underlying fusion gene formation, their frequency and subtype distribution, and advances in detection technologies in breast cancer. We then discuss how fusion genes reprogram oncogenic signaling pathways and mediate resistance to conventional and targeted therapies. Finally, we evaluate their translational potential as diagnostic biomarkers and therapeutic targets, emphasizing opportunities for precision oncology. By integrating current insights, this review underscores the multifaceted roles of fusion genes in breast cancer biology and highlights their promise for guiding the development of more effective, personalized treatment strategies.

Breast cancer↗

PubMed2026

B-MYB (MYBL2): from cell cycle regulator to an oncogenic player.

B-MYB (MYBL2) is a transcription factor of the MYB family that plays critical roles in cell cycle progression, proliferation, and survival. Through the DREAM-MMB-FOXM1 network, B-MYB coordinates the expression of genes required for mitosis and cytokinesis (G2/M genes), while genes required for DNA replication during S phase are regulated by E2F-DP complexes. Initially identified as a regulator of normal cell cycle processes, B-MYB has emerged as a key oncogenic driver across multiple cancer types. This review addresses the physiological roles of B-MYB, the mechanisms underlying its oncogenic activation, and its contributions to tumorigenesis and clinical relevance as a prognostic biomarker and potential therapeutic target. Aberrant activation of B-MYB, driven by gene amplification, transcriptional upregulation, or post-translational modification, is reported as a recurrent feature of aggressive cancers. The consequences of B-MYB overexpression, including uncontrolled proliferation, genomic instability, apoptosis evasion, epithelial-to-mesenchymal transition, therapy resistance and metabolic reprogramming, further underscore B-MYB as a central oncogenic driver. Clinically, B-MYB overexpression correlates with poor prognosis, advanced disease and chemoresistance across multiple malignancies. Thus, we aim to emphasise the biological roles of B-MYB in physiological and cancer mechanisms, alongside the growing evidence establishing it as both a biomarker of disease and a potential therapeutic target. While previous reviews have addressed isolated aspects of B-MYB biology, this review provides a comprehensive and updated integration of recent mechanistic advances (A-MYB/B-MYB functional redundancy and YAP/TAZ-TEAD crosstalk) and the therapeutic potential of non-canonical DNA structures at the B-MYB promoter. We further review current trends and methodologies for targeting B-MYB and outline new perspectives for future therapeutic research.

Humans↗

PubMed2026

A bivalent molecular glue linking lysine acetyltransferases to oncogene-induced cell death.

Developing cancer therapies that induce specific death of malignant cells is critical for preventing relapse. Highly effective strategies, such as immunotherapy, exemplify this principle. Here, we provide the mechanistic basis for a small-molecule approach that leverages chemically induced proximity (CIP) to kill diffuse large B cell lymphoma, the most common non-Hodgkin lymphoma. We developed lysine acetyltransferase (KAT)-based TCIPs (transcriptional/epigenetic chemical inducers of proximity), or KAT-TCIPs, which redirect p300/CREB-binding protein (CBP) to activate cell-death networks repressed by the oncogenic driver BCL6. Our lead KAT-TCIP reprograms the epigenome to initiate apoptosis. The crystal structure of the chemically induced p300-BCL6 complex reveals how chance protein-protein interactions may be exploited to confer the potency and selectivity of KAT-TCIPs. Thus, oncogenic drivers can be co-opted to activate robust cell death. Consistent with their gain-of-function mechanism, TCIPs recruiting different transcriptional activators-p300, BRD4, or CDK9-produce distinct genomic responses, suggesting specialized therapeutic uses.

Humans↗

PubMed2026

Subtype-specific clinical significance of RRM1 and RRM2 expression in non-small cell lung cancer: a TCGA-based analysis.

BACKGROUND: Non-small cell lung cancer (NSCLC), including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), exhibits significant molecular heterogeneity. Ribonucleotide reductase (RNR), composed of RRM1 and RRM2, is essential for DNA synthesis and repair, but its subtype-specific clinical significance in NSCLC remains unclear. OBJECTIVE: To investigate the clinical and prognostic significance of RRM1 and RRM2 expression in NSCLC, with a focus on subtype-specific differences between LUAD and LUSC. METHODS: We analyzed RNA expression and clinical data from 980 NSCLC patients in The Cancer Genome Atlas (TCGA). Associations with clinicopathologic characteristics, overall survival, and oncogenic driver alterations were assessed. RESULTS: In LUAD, high RRM2 expression was significantly associated with advanced pathologic stage (p = 0.004), nodal involvement (p = 0.005), higher T stage (p = 0.030), and gender (p = 0.046). In LUSC, RRM2 was associated with age (p = 0.008), pathologic stage (p = 0.006), and N stage (p = 0.001). RRM1 showed no significant associations with stage-related parameters in either subtype. Correlation analyses revealed modest associations between RRM1 and multiple oncogenic drivers, whereas RRM2 showed stronger subtype-specific correlations, particularly with KRAS/BRAF in LUAD and CDKN2A/SOX2 in LUSC. Kaplan-Meier analysis demonstrated that high expression of both RRM1 and RRM2 was associated with poorer overall survival in LUAD, but not in LUSC. However, neither marker remained significant after adjustment for clinicopathological variables in multivariate analysis. CONCLUSION: RRM2 is associated with tumor progression in both NSCLC subtypes, while the prognostic associations of RRM1 and RRM2 are confined to LUAD. Although neither marker demonstrated independent prognostic significance in multivariate analysis, the findings support subtype-dependent roles of RNR components and highlight the potential biological and therapeutic relevance of nucleotide metabolism pathways in LUAD.

Carcinoma, Non-Small-Cell Lung↗

PubMed2018

Signaling Pathways Regulating Redox Balance in Cancer Metabolism.

The interplay between rewiring tumor metabolism and oncogenic driver mutations is only beginning to be appreciated. Metabolic deregulation has been described for decades as a bystander effect of genomic aberrations. However, for the biology of malignant cells, metabolic reprogramming is essential to tackle a harsh environment, including nutrient deprivation, reactive oxygen species production, and oxygen withdrawal. Besides the well-investigated glycolytic metabolism, it is emerging that several other metabolic fluxes are relevant for tumorigenesis in supporting redox balance, most notably pentose phosphate pathway, folate, and mitochondrial metabolism. The relationship between metabolic rewiring and mutant genes is still unclear and, therefore, we will discuss how metabolic needs and oncogene mutations influence each other to satisfy cancer cells' demands. Mutations in oncogenes, i.e., PI3K/AKT/mTOR, RAS pathway, and MYC, and tumor suppressors, i.e., p53 and liver kinase B1, result in metabolic flexibility and may influence response to therapy. Since metabolic rewiring is shaped by oncogenic driver mutations, understanding how specific alterations in signaling pathways affect different metabolic fluxes will be instrumental for the development of novel targeted therapies. In the era of personalized medicine, the combination of driver mutations, metabolite levels, and tissue of origins will pave the way to innovative therapeutic interventions.

OXPHOS↗

PubMed2025

Relationship Between Cognitive Disorder and First-Line Targeted Therapy for Oncogene Driver-Positive Patients With Non-Small Cell Lung Cancer: Prospective Cohort Study.

BACKGROUND: Previous studies have found and confirmed a correlation between cognitive disorder and chemotherapy. As genetic testing becomes more routine in clinical practice, targeted therapies are increasingly gaining prominence. The relationship between targeted treatment and cognitive function is not yet clear. This study aimed to investigate the correlation between cognitive disorder and targeted treatment by evaluating the changes in cognitive function before and after targeted therapy. OBJECTIVE: This study aims to explore whether targeted therapy affects cognitive function in patients with advanced lung cancer and to explore the association between cognitive function, the inflammatory biomarker C-reactive protein, and psychological stress. METHODS: From the screened cohort of 150 patients with advanced non-small cell lung cancer (NSCLC) with gene mutations, 87 (58%) were rigorously selected for the study. The evaluation instruments used were the Mini-Mental State Examination scale, the Distress Thermometer, and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 for assessing quality of life. RESULTS: A significantly lower progression-free survival (PFS) was observed in the group of patients surviving advanced NSCLC with cognitive disorder under targeted therapy in contrast to survivors in the group with no cognitive disorder (hazard ratio=0.347, 95% CI 0.209-0.578; P<.001). Furthermore, the objective response rate and disease control rate for the group with cognitive disorder were noted to be 37.8% and 86.7%, respectively, contrastingly lower than those in the group with no cognitive disorder, recorded at 78.6% and 97.6%, respectively. Significant variances were also noted in the Mini-Mental State Examination scores between patients with and without cognitive disorder both before and after targeted therapy (P<.001 in both cases), with a decreasing trend observed in both groups after targeted therapy. Noteworthy differences were found in quality of life scores both before and after targeted therapy (P<.001 in both cases). In addition, notable disparities were apparent in C-reactive protein levels among the 2 groups before and after treatment (P=.03 and P=.048 for each time point, respectively), with an upward trend observed in both groups after targeted therapy. The multivariate Cox regression analysis demonstrated that cognitive function is an independent risk factor for PFS in patients with NSCLC receiving targeted therapy. CONCLUSIONS: Cognitive disorder may lead to lower quality of life scores and shorter PFS in patients undergoing targeted therapy. Early screening and intervention for such patients could effectively improve clinical outcomes and quality of life.

Humans↗

PubMed2025

Pathway-specific genomic alterations in pancreatic cancer across diverse cohorts.

BACKGROUND/OBJECTIVES: Pancreatic cancer (PC) is an aggressive malignancy with rising incidence and poor survival rates. While Hispanic/Latino (H/L) patients have a lower overall incidence compared to Non-Hispanic White (NHW) patients, they are diagnosed at younger ages, often present with more advanced disease, and experience worse survival outcomes. The molecular drivers underlying these disparities remain poorly understood. Key oncogenic pathways, including TP53, WNT, PI3K, TGF-Beta, and RTK/RAS, play crucial roles in tumor progression, therapy resistance, and response to targeted treatments. However, their ethnicity-specific alterations and prognostic implications in PC remain largely unexplored. This study aims to characterize pathway-specific mutations in PC among H/L and NHW patients, assess tumor mutation burden, and identify ethnicity-specific oncogenic drivers using publicly available datasets. The findings may provide critical insights to optimize precision medicine strategies and enhance targeted therapies for underrepresented populations. METHODS: A bioinformatics analysis was performed using publicly available PC datasets to evaluate mutation frequencies in genes associated with the TGF-Beta, RTK/RAS, WNT, PI3K, and TP53 pathways. The study included 4,248 patients, with 407 identified as H/L and 3,841 as NHW. Patients were stratified by ethnicity to assess differences in mutation prevalence. Chi-squared tests were conducted to compare mutation rates between groups, while Kaplan-Meier survival analysis was performed to evaluate overall survival differences based on pathway-specific alterations. RESULTS: Significant differences were observed in the TGF-Beta pathway between H/L and NHW patients. TGF-Beta mutations were less prevalent in H/L patients (18.4% vs. 24.4%, p = 8.6e-3). Additionally, genes related to the TGF-Beta pathway showed significant alterations, with SMAD2 (1.5% vs. 0.4%, p = 6.3e-3) and SMAD4 (15% vs. 19.9%, p = 0.02) exhibiting notable differences. Although RTK/RAS, WNT, PI3K, and TP53 pathway mutations were not statistically significant overall, borderline significance was observed in genes associated with these pathways, including ERBB4 (3.4% vs. 1.8%, p = 0.03), ALK (2.7% vs. 1.1%, p = 0.01), HRAS (1.2% vs. 0.1%, p = 1.3e-4), and RIT1 (0.7% vs. 0.1%, p = 0.03) in the RTK/RAS pathway, as well as CTNNB1 (2.9% vs. 1.3%, p = 0.01) in the WNT pathway. Survival analysis revealed no significant differences in overall survival among H/L patients. However, NHW patients with TP53 pathway alterations exhibited borderline significant differences in survival outcomes.

PI3K pathway↗

PubMed2022

Chemical acylation of an acquired serine suppresses oncogenic signaling of K-Ras(G12S).

Drugs that directly impede the function of driver oncogenes offer exceptional efficacy and a therapeutic window. The recently approved mutant selective small-molecule cysteine-reactive covalent inhibitor of the G12C mutant of K-Ras, sotorasib, provides a case in point. KRAS is the most frequently mutated proto-oncogene in human cancer, yet despite success targeting the G12C allele, targeted therapy for other hotspot mutants of KRAS has not been described. Here we report the discovery of small molecules that covalently target a G12S somatic mutation in K-Ras and suppress its oncogenic signaling. We show that these molecules are active in cells expressing K-Ras(G12S) but spare the wild-type protein. Our results provide a path to targeting a second somatic mutation in the oncogene KRAS by overcoming the weak nucleophilicity of an acquired serine residue. The chemistry we describe may serve as a basis for the selective targeting of other unactivated serines.

Humans↗

PubMed2026

A modular γδ TCR-T platform combining KRAS pMHC targeting with re-dosable mRNA engager redirection.

Solid tumors often evade TCR-engineered αβ T cells when antigen expression varies or when the restricting Human Leukocyte Antigen (HLA) allele is lost. γδ T cells, in contrast, detect cellular dysregulation through non-peptide/Major Histocompatibility Complex (MHC) cues, including phosphoantigens and stress ligands, and can be developed as allogeneic therapies. Although intratumoral γδ T cell signatures are associated with improved outcome across cancers, γδ recognition itself is broad and still selected within the thymus just as αβ T cell receptors (TCRs) are. It does not, however, anchor specificity to a defined driver-mutation pMHC epitope. We therefore asked whether a high-affinity, co-receptor-independent αβ TCR could graft oncogenic-driver specificity onto γδ T cells while leaving the endogenous γδ TCR intact. We knocked the KRASG12V/HLA-A*11:01 TCR A11v into primary human γδ T cells. Engineered cells co-expressed the transgenic αβ TCR and the endogenous γδ TCR and lysed KRASG12V/HLA-A*11:01+ tumor cells in vitro and in vivo. To cover potential resistance through loss of HLA-A*11:01, we delivered an mRNA lipid nanoparticle (LNP) encoding a secreted mesothelin×CD3 (M5) bispecific T cell engager (TCE). LNP-M5 produced circulating TCE that redirected γδ A11v T cells and polyclonal bystander T cells to kill mesothelin+ targets, accompanied by development of higher γδ A11v T cell counts in vivo. In humanized mice bearing mixed HLA-A*11:01+ and HLA-A*11:01 - KRASG12V tumors, γδ A11v T cells produced transient control, whereas adding LNP-M5 yielded complete responses and prolonged survival. Thus, this two-part therapy couples invariant driver targeting to tunable redirection and addresses loss of the restricting HLA allele, a central escape route for TCR-based therapy. It provides an off-the-shelf reagent to enable KRAS-anchored treatment with the ability to redeliver the reagent.

Humans↗

PubMed2026

Targeting of the oncogenic fusion EWSR1-FLI1 in Ewing sarcoma by CRISPR/dCas9 silencers.

Despite the revolutionary impact of genome engineering tools in medicine, the safe and effective intracellular delivery of CRISPR remains a major obstacle to clinical applications. Here, we utilize precision molecular targeting and delivery strategies based on CRISPR-nuclease-dead Cas9 (dCas9) systems adapted for epigenetic repression (dCas9-Krüppel-associated box [KRAB]) to silence oncogenic drivers with high selectivity. As proof of principle, we target the EWSR1-FLI1 translocation, which encodes a chimeric and hard-to-drug oncogenic transcription factor driving approximately 85% of the cases of Ewing sarcoma (EWS)-an aggressive childhood malignancy. We describe the development of a programmable, non-viral polymeric system for the delivery of dCas9-KRAB as ribonucleoprotein (RNP) payloads for EWSR1-FLI1 repression. We demonstrate highly efficient intracellular delivery of RNPs loaded in polyamide-amine (PAMAM) polymers functionalized by guanidino groups, resulting in robust silencing of EWSR1-FLI1 both in established cell line xenografts and in EWS-related patient-derived xenografts (PDXs) of EWS. We show that silencing of EWSR1-FLI1 is accompanied by potent anti-tumor effects. Collectively, we characterize an effective non-viral platform for in vivo delivery of dCas9-KRAB/RNPs, which could be adapted for the repression of any oncogene. We further outline dCas9/RNP formulations for future therapeutic applications to treat poor-prognosis cancers driven by hard-to-drug oncogenes.

CRISPR-dCas9↗

PubMed2026

EML4-ALK Variant-Specific Genetic Interactions Shape Lung Tumorigenesis.

UNLABELLED: Diverse fusions of echinoderm microtubule-associated protein-like 4 (EML4) and anaplastic lymphoma kinase (ALK) are oncogenic drivers in lung adenocarcinoma. EML4-ALK variants have distinct breakpoints within EML4, but their functional differences remain poorly understood. In this study, we use somatic genome editing to generate autochthonous mouse models of EML4-ALK-driven lung tumors and show that variant 3 (V3) is more oncogenic than variant 1 (V1). By using multiplexed genome editing and quantifying the effects of 29 putative tumor-suppressor genes on V1- and V3-driven lung cancer growth, we show that many tumor-suppressor genes have variant-specific effects on tumorigenesis. Pharmacogenomic analyses further suggest that tumor genotype can influence therapeutic responses. Analysis of human EML4-ALK-positive lung cancers also identified variant-specific differences in their genomic landscapes. These findings suggest that EML4-ALK variants behave more like distinct oncogenes than a uniform entity and highlight the dramatic impact of oncogenic fusion partner proteins and coincident tumor-suppressor gene alterations on the biology of oncogenic fusion-driven cancers. SIGNIFICANCE: EML4-ALK-driven lung cancer is treated as a uniform disease despite the presence of distinct fusion variants in patients. Our findings show that EML4-ALK variants are functionally distinct, which may have implications for the treatment of this cancer type and highlights the need to consider differences among variants of other oncogenic fusions.

Animals↗

PubMed2026

NFS1 activates PI3K/AKT/mTOR signaling to upregulate GPX4 expression and enhance ferroptosis resistance in osteosarcoma.

Osteosarcoma continues to exhibit poor survival outcomes due to chemoresistance and metastasis, with metabolic reprogramming and ferroptosis resistance being key features of tumor heterogeneity, yet their upstream regulators remain poorly defined. NFS1, a cysteine desulfurase essential for iron-sulfur cluster biogenesis, protects multiple cancers from ferroptosis, but its role in osteosarcoma is unknown. In this study, we performed a transcriptomic meta-analysis and found that NFS1 expression was significantly upregulated in osteosarcoma tissues, with further elevation in metastatic lesions, and high NFS1 expression correlated with poor overall survival. Genome‑wide CRISPR screening data revealed a marked NFS1 dependency in osteosarcoma cell lines. Functionally, NFS1 promoted cell proliferation, migration, and invasion, whereas its knockdown suppressed these phenotypes. Using single‑cell RNA sequencing data from 27 osteosarcoma specimens, we applied a multi‑algorithm glycolytic scoring framework and observed NFS1 enrichment in highly glycolytic malignant cells, along with an association with PI3K/AKT/mTOR pathway activation. Mechanistically, NFS1 selectively enhanced PI3K, AKT, and mTOR phosphorylation without altering total protein levels, and upregulated GPX4, a central ferroptosis suppressor, leading to elevated ferroptosis resistance scores in NFS1‑high malignant cells. Collectively, these findings identify a previously unrecognized NFS1-PI3K/AKT/mTOR-GPX4 regulatory axis in osteosarcoma, linking metabolic reprogramming to ferroptosis resistance, and suggest that NFS1 functions as an oncogenic driver, as well as a promising prognostic biomarker and therapeutic target in osteosarcoma.

Humans↗