Varaico: Literature-Extracted Genetic Variants

Gene:ARID2
Variant:p.S297F
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ARID2

NM_152641.4:p.S297F

Associated Papers

Genetic mechanisms of resistance to targeted KRAS inhibition.

Diaz BJ et al.

Biorxiv : the Preprint Server for Biology, 2025

40799582 (PubMed )
Supplement: media-3.xlsx › Table_S1B

Shared chromatin remodeling mutations drive concurrent rhabdomyosarcoma and leukemia in a pediatric patient.

Zhao J et al.

Discover Oncology, 2025

40522594 (PubMed )
Supplement: 12672_2025_2967_MOESM1_ESM.pdf

Multiplexed in vivo base editing identifies functional gene-variant-context interactions.

Acosta J et al.

Biorxiv : the Preprint Server for Biology, 2025

40060482 (PubMed )
Supplement: media-4.xlsx › Table_S2A

Targeted DNA Sequencing of Cutaneous Melanoma Identifies Prognostic and Predictive Alterations.

Haugh AM et al.

Cancers, 2024

38611025 (PubMed )
Supplement: cancers-16-01347-s001.zip › cancers-2874995-supplementary.xlsx › TableS1

Standing in the canine precision medicine knowledge gap: Improving annotation of canine cancer genomic biomarkers through systematic comparative analysis of human cancer mutations in COSMIC.

Sakthikumar S et al.

Veterinary and Comparative Oncology, 2023

37248814 (PubMed )
Supplement: supplement_1.xlsx › Supp._Table_5

Dynamic ctDNA Mutational Complexity in Patients with Melanoma Receiving Immunotherapy.

Fitzgerald S et al.

Molecular Diagnosis & Therapy, 2023

37099071 (PubMed )
Supplement: 40291_2023_651_MOESM1_ESM.xlsx › Suppl._Table_2

Detecting recurrent passenger mutations in melanoma by targeted UV damage sequencing.

Selvam K et al.

Nature Communications, 2023

37169747 (PubMed )
Supplement: 41467_2023_38265_MOESM4_ESM.xlsx › Fig._3ab

Base editing sensor libraries for high-throughput engineering and functional analysis of cancer-associated single nucleotide variants.

Sánchez-Rivera FJ et al.

Nature Biotechnology, 2022

35165384 (PubMed )
Supplement: NIHMS1760571-supplement-Supplementary_Table_S2.xlsx › Table_S2C

Altered BAF occupancy and transcription factor dynamics in PBAF-deficient melanoma.

Carcamo S et al.

Cell Reports, 2022

The clinical significance of adenomatous polyposis coli (APC) and catenin Beta 1 (CTNNB1) genetic aberrations in patients with melanoma.

Karachaliou GS et al.

Bmc Cancer, 2022

34986841 (PubMed )
Supplement: 12885_2021_8908_MOESM2_ESM.xlsx › APC_CTNNB1_wild_type

Durable response to immunotherapy plus chemotherapy in a patient with untreated, brain-metastatic, EGFR exon 20 insertion mutation lung adenocarcinoma: A case report.

Nong J et al.

Medicine, 2021

Integrative Genomic Analyses of Patient-Matched Intracranial and Extracranial Metastases Reveal a Novel Brain-Specific Landscape of Genetic Variants in Driver Genes of Malignant Melanoma.

Váraljai R et al.

Cancers, 2021

Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes.

Tokutomi N et al.

Plos One, 2021

34424899 (PubMed )
Supplement: pone.0243595.s003.pdf

Distinct Mutation Patterns Reveal Melanoma Subtypes and Influence Immunotherapy Response in Advanced Melanoma Patients.

Hilke FJ et al.

Cancers, 2020

32825510 (PubMed )
Supplement: cancers-12-02359-s001.zip › cancers-898298-supplementary › SupplementTable_1-14_20200710.xlsx › Table_S8

Somatic Evolution in Non-neoplastic IBD-Affected Colon.

Olafsson S et al.

Cell, 2020

32697969 (PubMed )
Supplement: mmc4.xlsx › A__TCGA_hotspots

Phase and context shape the function of composite oncogenic mutations.

Gorelick AN et al.

Nature, 2020

32461694 (PubMed )
Supplement: NIHMS1582596-supplement-1582596_Supp_Tab1-5.xlsx › Table_S2._Composite_mutations

Diversity spectrum analysis identifies mutation-specific effects of cancer driver genes.

Dong X et al.

Communications Biology, 2020

31925297 (PubMed )
Supplement: 42003_2019_736_MOESM4_ESM.xlsx › Sheet1

The Immunogenic Potential of Recurrent Cancer Drug Resistance Mutations: An In Silico Study.

Punta M et al.

Frontiers in Immunology, 2020

33133066 (PubMed )
Supplement: Table_1.xlsx › Drivers-not-HR

Analysis of error profiles in deep next-generation sequencing data.

Ma X et al.

Genome Biology, 2019

30867008 (PubMed )
Supplement: 13059_2019_1659_MOESM1_ESM.xlsx › S3_b

Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Chalmers ZR et al.

Genome Medicine, 2017

28420421 (PubMed )
Supplement: 13073_2017_424_MOESM7_ESM.xlsx › Sheet1

Targeted next generation sequencing reveals unique mutation profile of primary melanocytic tumors of the central nervous system.

van de Nes J et al.

Journal of Neuro-oncology, 2016

The Genetic Evolution of Melanoma from Precursor Lesions.

Shain AH et al.

The New England Journal of Medicine, 2015

26559571 (PubMed )
Supplement: nejmoa1502583_appendix_1.pdf
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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."