Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.E358V
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TP53

NM_000546.6:p.E358V

Associated Papers

Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging.

Cheng WY et al.

Blood, 2025

40829168 (PubMed )
Supplement: BLOOD_BLD-2024-027692-mmc5.xlsx › Sheet_1

Characterization of RET fusions via integrated DNA and RNA sequencing in early-stage non-small cell lung cancer: a retrospective study.

Ding Y et al.

Translational Lung Cancer Research, 2025

TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.

Fischer NW et al.

Nature Communications, 2025

41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM7_ESM.xlsx › Sheet1

Comparative outcome and prognostic factor analysis among MDS/AML patients with TP53 mutations, snps, and wild type.

Yang X et al.

Human Genomics, 2025

40877983 (PubMed )
Supplement: 40246_2025_792_MOESM2_ESM.xlsx › Table_S8

Comprehensive germline and somatic profiling of high-risk Thai breast cancer via next-generation sequencing.

Kamdee K et al.

Scientific Reports, 2025

40181060 (PubMed )
Supplement: 41598_2025_95834_MOESM2_ESM.xlsx › S._Data_3.

Multi-gene panel sequencing reveals the relationship between driver gene mutation and clinical characteristics in lung adenocarcinoma.

Li J et al.

Discover Oncology, 2025

40053265 (PubMed )
Supplement: 12672_2025_2008_MOESM1_ESM.xlsx › Table_S2

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Dawood M et al.

Genome Medicine, 2024

39627863 (PubMed )
Supplement: 13073_2024_1392_MOESM1_ESM.xlsx › Table_S18

Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.

Padigepati SR et al.

Human Genetics, 2024

39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53

Comparison of TP53 mutations in myelodysplasia and acute leukemia suggests divergent roles in initiation and progression.

Jambhekar A et al.

Blood Neoplasia, 2024

40453522 (PubMed )
Supplement: BNEO_NEO-2023-000115-mmc1.xlsx › MDS

A Novel TP53 Gene Mutation Sustains Non-Small Cell Lung Cancer through Mitophagy.

Wang Y et al.

Cells, 2022

Benign SNPs in the Coding Region of TP53: Finding the Needles in a Haystack of Pathogenic Variants.

Soussi T

Cancer Research, 2022

TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.

Ben-Cohen G et al.

Briefings in Bioinformatics, 2022

Investigating the genomic alteration improved the clinical outcome of aged patients with lung carcinoma.

Chen S et al.

Bmc Genomics, 2022

35031014 (PubMed )
Supplement: 12864_2021_8289_MOESM1_ESM.xlsx › Table_S1

Landscape of TP53 Alterations in Chronic Lymphocytic Leukemia via Data Mining Mutation Databases.

Soussi T et al.

Frontiers in Oncology, 2022

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.

G V et al.

Frontiers in Genetics, 2022

36561320 (PubMed )
Supplement: Table2.xlsx › TP53

Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.

Reza MN et al.

Scientific Reports, 2021

34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_3.xlsx › Sheet1

Identification and functional characterization of new missense SNPs in the coding region of the TP53 gene.

Doffe F et al.

Cell Death and Differentiation, 2021

Comprehensive Study of Germline Mutations and Double-Hit Events in Esophageal Squamous Cell Cancer.

Zeng B et al.

Frontiers in Oncology, 2021

Prevalence and clinical impact of TP53 germline mutations in Chinese women with breast cancer.

Sheng S et al.

International Journal of Cancer, 2020

Somatic mutation profiling in BRCA-negative breast and ovarian cancer patients by multigene panel sequencing.

Kwong A et al.

American Journal of Cancer Research, 2020

From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.

Quinn EA et al.

Cold Spring Harbor Molecular Case Studies, 2019

30886117 (PubMed )
Supplement: supp_mcs.a003921_Supplemental_Table_1a.xlsx › S_Table1a._TP53_in_ClinVar

A quantitative model to predict pathogenicity of missense variants in the TP53 gene.

Fortuno C et al.

Human Mutation, 2019

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

NPM1 mutations define a specific subgroup of MDS and MDS/MPN patients with favorable outcomes with intensive chemotherapy.

Montalban-Bravo G et al.

Blood Advances, 2019

Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.

de Andrade KC et al.

Human Mutation, 2019

Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors.

Zhou C et al.

Journal of Hematology & Oncology, 2018

Analytical Validation of a Hybrid Capture-Based Next-Generation Sequencing Clinical Assay for Genomic Profiling of Cell-Free Circulating Tumor DNA.

Clark TA et al.

The Journal of Molecular Diagnostics : Jmd, 2018

29936259 (PubMed )
Supplement: mmc12.xlsx › Table_S12
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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."