SEARCH · PubMed Health

Results for “BRAF”

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 37 records · Page 2Linked to original sources

PubMed2026

Paired Exome-Based Comprehensive Genomic Profiling and Germline Genetic Testing for Unselected Patients With Colorectal Cancer in a Multicenter Prospective Study.

BACKGROUND AND AIMS: Comprehensive genomic profiling (CGP) for tumors and germline genetic testing (GGT) inform precision therapy and clinical management of patients with colorectal cancer (CRC), and evidence is growing in support of universal paired CGP-GGT patient testing. However, the utility of combining CGP and GGT for early-stage CRC (ESC) and early-onset CRC (EOC) is unclear. METHODS: We performed a prospective, multisite study featuring GGT using an 80+ gene next-generation sequencing platform and exome-based CGP among CRC patients (unselected for age, stage, family history) receiving care at Mayo Clinic Cancer Centers between April 1, 2018, and March 31, 2020. RESULTS: A total of 150 CRC patients had GGT and exome-based CGP performed. ESC patients had an enrichment of high microsatellite instability and high tumor mutation burden. High microsatellite instability was also enriched in those with smoking history, and in tumors with mutated BRAF, homologous recombination deficiency, or at least 1 variant in the rat sarcoma virus pathway. Moreover, patients with smoking history were enriched in BRAF and other Tier 1 or 2 variants overall. Sixteen percent of patients harbored a pathogenic germline variant, most frequent being in Lynch syndrome genes. Paired GGT and CGP testing had high rates of clinically significant findings (≈70%) with the most frequent being high tumor mutation burden status. Pathway and mutational signature analysis revealed frequent CGP mutations in DNA repair and cell cycle pathways. CONCLUSION: These data suggest that universal, combined GGT-CGP increases clinical utility for EOC and ESC patients. This is key for EOC patients who tend to experience poorer outcomes. CGP-GGT expedites germline resolution for tumor mutations in hereditary cancer genes, reducing delays and facilitating identification of relevant therapies, clinical trials, and management recommendations.

Colorectal Cancer↗

PubMed2025

Longitudinal profiling of IDH-mutant astrocytomas reveals acquired RAS-MAPK pathway mutations associated with inferior survival.

BACKGROUND: Isocitrate dehydrogenase (IDH)-mutant astrocytomas represent the most frequent primary intraparenchymal brain tumor in young adults, which typically arise as low-grade neoplasms that often progress and transform to higher grade despite current therapeutic approaches. However, the genetic alterations underlying high-grade transformation and disease progression of IDH-mutant astrocytomas remain inadequately defined. METHODS: Genomic profiling was performed on 205 IDH-mutant astrocytomas from 172 patients from both initial treatment-naive and recurrent post-treatment tumor specimens. Molecular findings were integrated with clinical outcomes and pathologic features to define the associations of novel genetic alterations in the RAS-MAPK signaling pathway. RESULTS: Likely oncogenic alterations within the RAS-MAPK mitogenic signaling pathway were identified in 13% of IDH-mutant astrocytomas, which involved the KRAS, NRAS, BRAF, NF1, SPRED1, and LZTR1 genes. These included focal amplifications and known activating mutations in oncogenic components (e.g. KRAS, BRAF), as well as deletions and truncating mutations in negative regulatory components (e.g. NF1, SPRED1). These RAS-MAPK pathway alterations were enriched in recurrent tumors and occurred nearly always in high-grade tumors, often co-occurring with CDKN2A homozygous deletion. Patients whose IDH-mutant astrocytomas harbored these oncogenic RAS-MAPK pathway alterations had inferior survival compared to those with RAS-MAPK wild-type tumors. CONCLUSIONS: These findings highlight novel genetic perturbations in the RAS-MAPK pathway as a likely mechanism contributing to the high-grade transformation and treatment resistance of IDH-mutant astrocytomas that may be a potential therapeutic target for affected patients and used for future risk stratification.

IDH1 mutation↗

PubMed2023

MitoTracer facilitates the identification of informative mitochondrial mutations for precise lineage reconstruction.

Mitochondrial (MT) mutations serve as natural genetic markers for inferring clonal relationships using single cell sequencing data. However, the fundamental challenge of MT mutation-based lineage tracing is automated identification of informative MT mutations. Here, we introduced an open-source computational algorithm called "MitoTracer", which accurately identified clonally informative MT mutations and inferred evolutionary lineage from scRNA-seq or scATAC-seq samples. We benchmarked MitoTracer using the ground-truth experimental lineage sequencing data and demonstrated its superior performance over the existing methods measured by high sensitivity and specificity. MitoTracer is compatible with multiple single cell sequencing platforms. Its application to a cancer evolution dataset revealed the genes related to primary BRAF-inhibitor resistance from scRNA-seq data of BRAF-mutated cancer cells. Overall, our work provided a valuable tool for capturing real informative MT mutations and tracing the lineages among cells.

Journal Article↗

PubMed2025

MitoTracer facilitates the identification of informative mitochondrial mutations for precise lineage reconstruction.

Humans↗

PubMed2026

Attomolar Detection of HIV-1 With Label-Free RCA-rCRISPR on Smartphone.

HIV remains a major global public health challenge, causing 42.3 million deaths since its discovery in the early 1980s. Despite progress in prevention and treatment, around 60% of people with HIV (PWH) remain undiagnosed in resource-limited regions due to the lack of inexpensive and equipment-free detection methods. Here, we developed a low-cost, robust, and label-free CRISPR-based diagnostic platform for detecting HIV viral load with minimal instrumentation. Our strategy combines rolling circle amplification (RCA) with plasmid reporter-based ratiometric CRISPR (rCRISPR) that enables the detection of HIV RNA down to single-digit aM sensitivity from PWH-derived HIV samples ex vivo. Unlike conventional RCA, which requires fragmentations of long RNA target sequences, our design harnesses the triple functions of the phi29 DNA polymerase (namely exonuclease activity, polymerization, and strand displacement), enabling the detection of the long HIV genome without pre-fragmentation. Cas12a reaction then detected RCA products by converting supercoiled ΦX174 plasmid reporters to relaxed forms. The target concentration was quantified based on the supercoil-to-relaxed plasmid ratio. Further, we constructed an all-in-one smartphone-based minigel electrophoresis device to demonstrate equipment-free HIV viral load testing. Finally, the assay has demonstrated for BRAF point mutation detection, showcasing the robustness of our strategy for broad disease diagnostic applications.

CRISPR↗

PubMed2025

Clinical utility of comprehensive genomic profiling test for colorectal cancer: a single institution prospective observational study.

PURPOSE: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated. METHODS: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024. Overall survival (OS) of the patients who received CGP-based therapy and those did not was compared, and genomic variables associated with OS were evaluated. RESULTS: A total of 100 patients with CRC underwent CGP using four platforms. The median patient age was 67 years, and most had a good performance status. The most frequent genomic alterations were TP53 (82%), APC (82%), and KRAS (55%). Actionable mutations such as ERBB2 amplification and BRAF V600E were identified in some patients, and 9% received CGP-based therapy, including immune checkpoint inhibitors for tumor mutational burden-high or microsatellite instability-high tumors. Patients receiving CGP-based therapy had longer OS from expert panel discussion (16.0 vs. 10.8 months) compared to those who did not. Alterations in TP53, SMAD4, and NF1 were associated with worse OS. Interestingly, PTEN mutations were linked to improved survival. TP53 alterations were more common in left-sided CRC. CONCLUSION: Although some patients with CRC received CGP-guided therapy, a statistically significant survival benefit was not observed. However, TP53 and SMAD4 mutations were identified as negative prognostic markers, indicating their potential as targets for future drug development.

Humans↗

PubMed2026

Risk factors for lung metastasis in children and adolescent patients with papillary thyroid cancer: A retrospective cohort study.

BACKGROUND: Pediatric papillary thyroid cancer (pPTC) exhibits a higher incidence of lung metastasis (LM) compared to its adult counterpart. This study supplements the gap in pediatric management guidelines by exploring factors associated with LM in pPTC and characterizing relevant genetic alterations. METHODS: We retrospectively analyzed pPTC patients under 20 years who underwent initial surgery at our center between December 2008 and December 2022. Clinicopathological features, treatment approaches, outcomes, and target-gene sequencing were reviewed to identify risk factors and genetic variations. RESULTS: Among 114 pPTC cases, 17 developed LM. Risk factors associated with LM included younger age, male gender, larger tumor size, multifocality, extrathyroidal extension, lymphatic invasion, and the number of metastatic lymph nodes (NMLNs), with NMLNs > 14 identified as an independent predictor (OR = 18.20, p = 0.037). Treatment responses with radioiodine related to postoperative stimulated thyroglobulin (sTg) levels (p = 0.003). Genomic analysis identified 1007 somatic mutations, including in the BRAF, APC, RET, and ATM genes, with RET-NCOA4 fusions observed in the LM subgroup. CONCLUSION: LM is common in pPTC, and NMLNs > 14 is a critical risk indicator. The genetic profile, particularly RET mutations, highlights potential therapeutic targets. Further large-scale studies are needed to validate these findings.

Humans↗

PubMed2026

Genomic, transcriptomic, and molecular predictors of response to neoadjuvant therapy in locally advanced rectal cancer: a narrative review.

Total neoadjuvant therapy (TNT) has emerged as a key treatment paradigm for locally advanced rectal cancer, reducing distant metastasis rates and facilitating organ preservation in selected patients. However, treatment response remains heterogeneous, highlighting the need for biomarkers that can guide treatment selection and optimise outcomes. This narrative review synthesises the current evidence regarding tumour-intrinsic genomic biomarkers associated with response to neoadjuvant therapy, encompassing somatic mutations, germline polymorphisms, gene expression profiles, mismatch repair (MMR) status, protein expression, epigenetic markers, and circulating tumour-derived biomarkers across conventional chemoradiotherapy (CRT) and TNT paradigms. Across the reviewed literature, individual somatic mutations, including KRAS, TP53, and BRAF, demonstrated limited reproducibility as predictive biomarkers, although KRAS mutations were recurrently associated with lower pathological complete response (pCR) rates in CRT-era cohorts. Germline polymorphisms in DNA repair (XRCC1) and folate metabolism (MTHFR) genes showed inconsistent associations with treatment response. In contrast, transcriptomic biomarkers demonstrated greater biological coherence, with proliferative, epithelial-mesenchymal transition, and metabolic signatures frequently associated with treatment resistance, while multi-gene classifiers generally outperformed single-gene markers. Among currently available tumour-intrinsic biomarkers, MMR deficiency was the most consistently reported biomarker associated with reduced response to fluoropyrimidine-based regimens, including TNT, although TNT-specific evidence remains comparatively limited. Dynamic circulating tumour DNA (ctDNA) monitoring, particularly ctDNA clearance during or after therapy, was consistently associated with pathological response and long-term oncologic outcomes across reviewed studies, whereas baseline ctDNA levels showed limited predictive value. Overall, the reviewed literature suggests that biomarker research in rectal cancer has evolved from single-gene analyses towards pathway-level and dynamic biomarkers. The integration of transcriptomic signatures, MMR status, and dynamic ctDNA monitoring may represent a promising strategy for personalising neoadjuvant therapy, improving patient selection for organ-preserving approaches, and enhancing oncologic outcomes in locally advanced rectal cancer. Nevertheless, the evidence base remains heterogeneous, and further prospective validation, assay standardisation, and evaluation within contemporary TNT cohorts are required before these biomarkers can be routinely incorporated into clinical decision-making.

Humans↗

PubMed2026

Testicular aggressive B-cell lymphoma with plasmablastic morphology harboring concurrent IGH::MYC and IGH::BCL2 rearrangements.

BACKGROUND: Aggressive B-cell lymphomas with plasmablastic morphology are uncommon neoplasms that may exhibit overlapping morphologic, immunophenotypic, and genetic features of plasmablastic lymphoma (PBL) and double-hit lymphoma (DHL). Concurrent IGH::MYC and IGH::BCL2 rearrangements are rarely encountered in this setting, particularly in the testis. Here, we describe an unusual case presenting significant diagnostic challenges at the interface between PBL and DHL. CASE PRESENTATION: We report a 66-year-old, immunocompetent man presenting with a 5 cm left testicular mass. Histologic examination revealed diffuse proliferation of large atypical lymphoid cells with plasmablastic morphology. Immunohistochemically, the tumor expressed CD138, CD38, and MUM1, with focal BCL2, c-MYC protein, and CD79a positivity, while CD20, CD19, PAX5, CD10, BCL6, and ALK were negative. EBV-encoded RNA in situ hybridization was negative. Fluorescence in situ hybridization identified IGH::MYC [t(8;14)] rearrangement in 45% and IGH::BCL2 [t(14;18)] rearrangement in 21% of analyzed nuclei. Next-generation sequencing additionally revealed BRAF V600E mutation, CDKN2A deletion, and human leukocyte antigen class I genomic alterations. CONCLUSION: This case highlights a rare testicular aggressive B-cell lymphoma with plasmablastic morphology and concurrent IGH::MYC and IGH::BCL2 rearrangements, representing a diagnostically challenging neoplasm at the interface between PBL and DHL. Our findings underscore the value of integrated morphologic, immunophenotypic, cytogenetic, and molecular analyses in evaluating aggressive B-cell lymphomas with plasmablastic features arising in immune-privileged sites.

Humans↗

PubMed2026

Functional characterization of the 9q34.13 locus identifies RAPGEF1 as a candidate gene modulating risk for melanoma and nevi via RAS activation.

Genome-wide association studies identified a melanoma- and nevus count-associated locus on chromosome band 9q34.13. Fine-mapping and melanocyte expression data collectively suggest two potential risk genes with opposite associations with risk: higher levels of Rap guanine nucleotide exchange factor 1 (RAPGEF1) and lower levels of uridine-cytidine kinase 1 (UCK1). Colocalization analyses and conditional transcriptome-wide association studies (TWASs) suggest multiple causal cis-regulatory sequence variants in partial linkage disequilibrium (LD) to each other. Melanocyte capture-HiC and CRISPR inhibition demonstrated regulatory interactions between fine-mapped variants and the RAPGEF1 and UCK1 promoters. Focusing on RAPGEF1, we demonstrate that RAPGEF1 expression promotes melanocyte growth and drives colony formation of human immortalized melanocytes. Following treatment with human epidermal growth factor (EGF), RAPGEF1 overexpression activated both RAP1 and RAS. Further, we show that RAPGEF1 expression is significantly enriched in melanomas that lack strongly activating RAS-MAPK pathway mutations, which suggests that RAPGEF1 may promote oncogenic RAS-MAPK pathway signaling in melanomas. Furthermore, in these tumors, we provide preliminary evidence to support the prognostic relevance of RAPGEF1 expression in individuals whose melanomas lack RAS or BRAF mutations. Together with other recent studies, these data suggest that germline variation influencing RAS activation may play a key role in nevus development and melanoma risk.

GWAS↗

PubMed2026

Next-generation sequencing in head and neck sarcoma: a single-centre institutional experience and review of the literature.

Head and neck sarcomas (HNS) are rare, heterogeneous malignancies representing less than 1% of head and neck cancers. Their complex anatomy and overlapping morphologies pose significant challenges for traditional diagnosis. We aimed to evaluate the clinical utility of next-generation sequencing (NGS) within a tertiary referral centre and synthesise these findings with current global molecular standards. We conducted a retrospective review of an original, previously unpublished, cohort of 12 patients with histologically verified HNS treated at University College London Hospital (UCLH) between 2023 and 2024. Molecular profiling included targeted DNA (RMH200) and RNA-fusion panels. This was supplemented by a qualitative synthesis of 16 key studies (2010-2026) identified through a systematic search strategy. In the institutional cohort, NGS provided definitive diagnostic or therapeutic clarification in 66% of cases (8/12). Key findings included the identification of pathognomonic fusions (such as EWSR1::FLI1, PAX3::MAML3), a novel MAMLD1::VGLL3 fusion, and actionable variants such as BRAF V600E and MYOD1. Furthermore, the formal exclusion of Neurotrophic tropomyosin receptor kinase (NTRK) fusions in some cases allowed for therapeutic streamlining. Literature synthesis aligned these results and emphasised the need for NGS for more accurate diagnosis and adequate treatment. NGS is a clinical necessity in the management of ultra-rare HNS. By transitioning from traditional morphology to high-resolution molecular interrogation, clinicians can resolve diagnostic ambiguity and identify targeted therapeutic pathways. Integration with emerging 2026 standards, including epigenetic classification and liquid biopsy monitoring, represents the future of precision surgery in head and neck sarcoma.

Humans↗

PubMed2026

Molecular characterization of salivary cancers: Patterns of genomic alterations and potential for impact on therapeutic choices.

BACKGROUND: Salivary cancers are rare malignancies with diverse histologies, molecular landscape, and limited effective systemic therapy options. Recent tumour genomics research has identified driver alterations in salivary gland cancers that have led to personalized therapy approaches. The primary objective was to perform molecular characterization using next generation sequencing (NGS) panel and evaluate the potential impact of results on clinical decision-making and treatment outcomes. METHODS: Patients with locally advanced or incurable metastatic salivary cancers suitable for systemic therapy underwent NGS tumour testing with an amplicon-based DNA/RNA NGS panel. Patient demographics, baseline characteristics, treatment and treatment outcomes were retrospectively collected. RESULTS: From 2021 to 2024, 58 advanced salivary cancer patients underwent molecular characterization of their tumour. Baseline characteristics at diagnosis: male 60%, median age 67, most common histologies; adenoid cystic 27%, salivary duct 19% and mucoepidermoid 12%. PIK3CA alterations were the most common molecular finding across all subtypes 22% (13/58) and were enriched in salivary duct carcinoma 73% (8/11). Other alterations identified were: ERBB2 (4), EGFR (2), HRAS (3), NTRK3 (2), BRAF p.V600E (1), and RET (1). Immunohistochemistry identified androgen receptor positivity across salivary cancer subtypes in 8/19 and HER2 positivity in 2/20 tested. Twenty-two patients received systemic therapy prior to NGS results for incurable/metastatic disease, first line treatments included 69% chemotherapy, 18% anti-androgen, 9% lenvatinib, 4% trial. CONCLUSION: Molecular characterization of salivary cancers identified targetable alterations in 37% of patients. The identification of potential therapeutic targets offers the opportunity for expanded treatment options to benefit salivary gland cancer patients.

Metastatic salivary gland cancer↗

PubMed2026

Artificial intelligence (AI) uses in stereotactic radiosurgery (SRS): diagnosis with brain metastasis (BM) - A systematic review.

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of management. However, several diagnostic challenges persist in the SRS pathway, particularly the differentiation of radiation necrosis (RN) from true tumor progression, which conventional MRI and even advanced imaging techniques often cannot reliably resolve. Recent advances in artificial intelligence (AI) offer the potential to address these diagnostic limitations. This systematic review synthesizes current literature on AI applications for MRI-based diagnostic decision support in BM patients undergoing SRS, with a focus on radiomics and deep learning tools for distinguishing RN from progression, classifying molecular and histologic subtypes, and predicting treatment response. METHODS: A systematic review was performed in accordance with PRISMA guidelines. PubMed, Web of Science, and Scopus were searched using a targeted query combining terms related to AI, brain metastasis, diagnosis or imaging, and SRS. After screening 483 records and applying strict inclusion and exclusion criteria, 18 studies published between 2015 and 2025 were included. Data were extracted on study design, cohort characteristics, imaging modality, AI methodology, validation strategy, and reported diagnostic performance. RESULTS: Among the 18 included studies, AI models demonstrated strong performance across diagnostic tasks in the BM-SRS pathway. The differentiation of RN from true tumor progression was the most extensively studied application, addressed by 14 of 18 studies, with reported AUCs ranging from 0.71 to 0.94. Support vector machines, random-forest ensembles, convolutional neural networks, and transformer-based multimodal architectures were widely used. The literature evolved from single-sequence radiomic classifiers in 2018 to multimodal deep learning frameworks fusing imaging with clinical and genomic data in 2025. Contrast-enhanced T1-weighted MRI was the dominant imaging input, and texture-based radiomic features (GLCM, GLSZM, GLDM, and wavelet-derived features) were the most consistently predictive. The highest-performing models reached AUCs of 0.85-0.91 through multimodal integration of imaging with clinical and genomic features, and consistently outperformed expert neuroradiologist read on matched cases. Remaining studies addressed longitudinal segmentation-based detection of local failure and adverse radiation effects, BRAF mutation status in melanoma BM, early Gamma Knife treatment response, and primary tumor histology classification, with more variable performance. CONCLUSION: AI models, particularly those integrating MRI-derived radiomic features with clinical and genomic data, show high accuracy in supporting diagnostic decisions for BM patients treated with SRS. The post-SRS differentiation of radiation necrosis from true tumor progression has reached the greatest level of maturity and is closest to clinical translation, with potential to reduce unnecessary biopsies, personalize surveillance intervals, and rationalize treatment-pathway decisions. Other diagnostic applications, including molecular subtyping and primary tumor histology classification, remain exploratory and require further multicenter validation. Integration of AI tools into multidisciplinary tumor-board workflows, combined with prospective validation and standardized reporting, will be essential to realize the full clinical benefits of AI in SRS for brain metastases.

Humans↗

PubMed2026

Genome-Wide Single-Nucleotide Polymorphism (SNP)-based Profiling of Loss of Heterozygosity Reveals Distinct Molecular Subgroup-Specific Patterns in Gastrointestinal Stromal Tumors (GIST).

PURPOSE: Gastrointestinal stromal tumors (GIST) are molecularly heterogeneous neoplasms defined by mutually exclusive driver alterations (KIT, PDGFRA, SDH, BRAF, RAS, and NF1). However, driver mutations alone do not fully explain their biological and clinical variability. Chromosomal imbalances and loss of heterozygosity (LOH) may represent an additional layer of tumor characterization. We developed a single-nucleotide polymorphism (SNP)-based next-generation sequencing panel enabling genome-wide LOH assessment from formalin-fixed paraffin-embedded tissue. MATERIALS AND METHODS: Forty-nine GIST cases molecularly classified using targeted next-generation sequencing (KIT n = 19, PDGFRA n = 9, SDH-deficient n = 8, NF1 n = 7, quadruple wild-type n = 6) were analyzed. LOH was inferred from variant allele frequency patterns across 1826 genome-wide SNPs. RESULTS: Chromosome 14 was the most commonly affected (63%), followed by chromosomes 22 (45%), 15 (41%), 21 (27%), and 13 (20%). Loss of chromosome arm 1p occurred in 43% of tumors. Distinct subgroup-specific patterns emerged: KIT-mutant GIST exhibited the highest degree of genomic instability, whereas both SDH-deficient tumors and PDGFRA-mutant GIST displayed minimal chromosomal instability. NF1-mutant tumors showed recurrent single-arm chromosome 17 LOH. Quadruple wild-type GISTs were heterogeneous, including 1 case with extensive chromosomal instability. CONCLUSIONS: Genome-wide SNP-based LOH profiling reveals distinct, subgroup-specific patterns of chromosomal imbalance in GIST and may serve as a feasible complementary approach to driver mutation analysis for refined molecular characterization and potential future clinical utility.

Humans↗

PubMed2025

Genomic profiling of aggressive pathologic features in lung adenocarcinoma.

INTRODUCTION: Pathologic features involving LVI (lympho-vascular invasion), PNI (perineural invasion), STAS (spread through air spaces), and Grade 3 pattern (from the International Association for the Study of Lung Cancer grading system) are related to having an aggressive phenotype and linked to poor prognosis. However, few studies have conducted in-depth analyses of these features simultaneously with genomic profiling. METHODS: A total of 1559 sequencing of adenocarcinoma samples were included in the common driver mutations analysis, 1306 samples were brought into genomic mapping analysis. OncoSG's East Asian ancestry dataset was implemented for Tumor-Node-Metastasis-Biomarker (TNMB) classification and prognostic assessment. RESULTS: EGFR was more significantly prevalent in LVI negativity (P = 0.021), STAS negativity (P = 0.002), and moderate grade (P < 0.001). ALK was significantly interrelated with LVI (P = 0.028), STAS (P < 0.001), and poor grade (P < 0.001); ROS1 and STAS positivity (P = 0.031), poor grade (P = 0.016) were significantly related. KRAS (P = 0.003) and BRAF-V600E (P = 0.002) were only significantly intertwined with poor grade. Apart from common driver mutations, TP53, CHEK2, KEAP1, PTEN, RB1, NF1 were significantly enriched in LVI samples (P < 0.05). TP53, PTEN, CTNNB1, HGF, NF1 were more prominent in STAS (P < 0.01). TP53, LRP1B, NF1 were significantly more prevalent in Grade 3 pattern (P < 0.001). The mixture of STK11, PTEN, and TOP2A generated by exclusive mutations may be a potential predictor of TNMB categorization towards survival. The HR of stage II compared I of TNMB was 2.28 (95 % CI 1.36-3.86, P < 0.001), while stage III compared II was 1.95 (95 % CI 1.04-3.21, P = 0.031). CONCLUSIONS: This analysis demonstrated the correlation of pathologic features with common driver mutations, key mutations and canonical oncogenic signaling pathways. The data highlighted the similarities and differences among these features horizontally, and provide new insights in TNMB classification and prognostic assessment.

Humans↗

PubMed2025

Comprehensive assessment of genomic heterogeneity, coalterations, and outcomes of patients with colorectal cancer: An AACR GENIE project analysis.

INTRODUCTION: Colorectal cancer remains a leading cause of cancer mortality in the United States and can be characterized by racial and sex-based disparities. The objective of the current study was to characterize the genomic heterogeneity of colorectal cancer among diverse demographic groups, assess coalteration patterns and their impact on long-term outcomes among patients with colorectal cancer. METHODS: Data from the American Association for Cancer Research GENIE registry were analyzed to assess genomic alterations in colorectal cancer. The cohort included 20,542 samples from 19,542 patients, stratified by race or ethnicity, sex, and age of onset (<50 years for early-onset colorectal cancer). Genomic alterations and coalterations among the 48 most prevalent loci were evaluated for any association with overall survival in an external Memorial Sloan Kettering Cancer Center cohort. RESULTS: Among 19,542 patients, KRAS mutations were more prevalent among Black patients (57.1%) compared with White (41.8%) and Asian (43.4%) patients (P < .001), whereas TP53 alterations were more frequent among Asian (75.6%) than White (69.9%) or Black (71.9%) patients (P < .001). Coalterations with KRAS were associated with improved survival over KRAS alteration alone, a pattern less-frequently observed among Black patients. Sex-based differences were also observed, with BRAF mutations more prevalent among females (14.6% vs 9.7%; P < .001) and TP53 mutations more common among males (73% vs 70.5%;P = .009). Although KRAS alterations tended to co-occur with alterations in ATM, ARID1A, CREBBP, FAT1, KMT2B, and KMT2D genes among patients with "early onset" colorectal cancer (all p & q < 0.05), alterations of these gene pairs were mutually exclusive among individuals with late onset colorectal cancer. CONCLUSION: Genomic alterations and coalteration patterns varied relative to race/ethnicity, sex, and age at disease onset. Differences in genomic alteration patterns of colorectal cancer somatic tumor cells are an important consideration to help address disparities among different demographic groups.

Humans↗

PubMed2025

Differences of clinical features, prognosis and genetic mutations in Chinese patients with malignant melanoma and additional primary tumours.

BACKGROUND: The differences in the clinical features, prognosis and genetic mutations in Chinese patients with malignant melanoma (MM) and additional primary tumours remain unclear. METHODS: A retrospective analysis was conducted on patients with malignancies in Fujian Cancer Hospital from January 2007 to September 2022, end follow-up in September 2023. Clinical data were gathered, survival analysis was performed, and genetic mutations were detected. RESULTS: There were 58 of 1223 melanoma patients with melanoma and additional primary tumours, an incidence of 4.74%. Acral MM was the most common subtype (26/58), 23 (39.66%) patients had concomitant digestive tumours. Patients who had MM as their first primary tumour (MMFP) had shorter tumour occurrence intervals (9.93 vs. 57.78 months, p = .008) but longer melanoma survival (MM-OS) than the non-MMFP group (100.43 vs. 18.93 months, p = .015). Patients with cancer family histories were more likely to have pathogenic and likely pathogenic (P/LP) mutations (2/5 vs. 4/25). The somatic BRAF gene mutation was frequently observed in MM tissue (8/19, 42.11%). Three patients had whole-genome doubling and microsatellite instability-high (MSI-H). The COSMIC2 signature 3 was significantly higher in the P/LP group. CONCLUSIONS: The frequency of MM and additional primary tumours is about 5% in Chinese populations. Patients with melanoma diagnosed first have longer melanoma survival. Digestive system tumours were the most concomitant; a digestive examination is advisable, especially for those with an expected overall survival (OS) greater than 10 months. Meanwhile, patient's family cancer history should be followed up in detail, along with completion of germline P/LP mutation and somatic mutation testing, all of which may provide valuable support for further treatment.

Adult↗

PubMed2025

A powerful framework for differential co-expression analysis of general risk factors.

MOTIVATION: Differential co-expression analysis (DCA) aims to identify genes in a pathway whose shared expression depends on a risk factor. While DCA provides insights into the biological activity of diseases, existing methods are limited to categorical risk factors and/or suffer from bias due to batch and variance-specific effects. We propose a new framework, Kernel-based DCA (KDCA), that harnesses correlation patterns between genes in a pathway to detect differential co-expression arising from general (i.e. continuous, discrete, or categorical) risk factors. RESULTS: Using various simulated pathway architectures, we find that KDCA accounts for common sources of bias to control the type I error rate while substantially increasing the power compared to the standard eigengene approach. We then applied KDCA to The Cancer Genome Atlas thyroid data set and found several differentially co-expressed pathways by age of diagnosis and BRAF mutation status that were undetected by the eigengene method. Collectively, our results demonstrate that KDCA is a powerful testing framework that expands DCA applications in expression studies. AVAILABILITY AND IMPLEMENTATION: KDCA is publicly available in the R package kdca. The package can be downloaded at https://github.com/ajbass/kdca.

Humans↗