Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.L93V
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TP53

NM_000546.6:p.L93V

Associated Papers

TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.

Liu S et al.

Annals of Hematology, 2026

41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3

Neoantigenic properties of TP53 variants influence cancer risk in individuals with Li-Fraumeni syndrome.

Montellier E et al.

Ebiomedicine, 2026

41370968 (PubMed )
Supplement: mmc2.xlsx › Table_S1

A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.

Fortuno C et al.

Genome Medicine, 2025

41126324 (PubMed )
Supplement: 13073_2025_1536_MOESM2_ESM.xlsx › Table_S2

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

Clinical Sequence Revealed the Prevalence and Biological Significance of Somatic Pathogenic Variants in Thoracic Cancer: Implications for Germline Status.

Fukushima T et al.

Clinical Lung Cancer, 2025

Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.

Funk JS et al.

Nature Genetics, 2025

39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6

The impact of mutations on TP53 protein and MicroRNA expression in HNSCC: Novel insights for diagnostic and therapeutic strategies.

Mahmoud AA et al.

Plos One, 2025

40333905 (PubMed )
Supplement: pone.0307859.s001.xlsx › Sheet10

Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome.

Montellier E et al.

Iscience, 2024

39634561 (PubMed )
Supplement: mmc2.xlsx › TableS1

Skin Cancer Risk Is Increased by Somatic Mutations Detected Noninvasively in Healthy-Appearing Sun-Exposed Skin.

Kaur K et al.

The Journal of Investigative Dermatology, 2024

Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.

Tam B et al.

Briefings in Bioinformatics, 2024

39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1

Mutation landscape in Chinese nodal diffuse large B-cell lymphoma by targeted next generation sequencing and their relationship with clinicopathological characteristics.

Cao B et al.

Bmc Medical Genomics, 2024

38609996 (PubMed )
Supplement: 12920_2024_1866_MOESM1_ESM.pdf

Spatial transcriptomics reveal topological immune landscapes of Asian head and neck angiosarcoma.

Loh JW et al.

Communications Biology, 2023

37106027 (PubMed )
Supplement: 42003_2023_4856_MOESM5_ESM.xlsx › Supplementary_Data_2

Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types.

Sasaki K et al.

Scientific Reports, 2023

36964217 (PubMed )
Supplement: 41598_2023_32092_MOESM1_ESM.xlsx › Suppl._Table_S4

Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.

Chen JL et al.

Annual Review of Genomics and Human Genetics, 2022

36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › TP53

Clinical genomic profiling in the management of patients with soft tissue and bone sarcoma.

Gounder MM et al.

Nature Communications, 2022

35705558 (PubMed )
Supplement: 41467_2022_30496_MOESM2_ESM.xls › variants_table_final_for_supple

Comparison of acute myeloid leukemia and myelodysplastic syndromes with TP53 aberrations.

Dutta S et al.

Annals of Hematology, 2022

35083527 (PubMed )
Supplement: 277_2022_4766_MOESM1_ESM.pdf

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

Ben-Cohen G et al.

Briefings in Bioinformatics, 2022

35043155 (PubMed )
Supplement: supplementary_table_s1_bbab524.xlsx › S1B._Negative_Set

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

TP53 mutations are associated with primary endocrine resistance in luminal early breast cancer.

Grote I et al.

Cancer Medicine, 2021

34779146 (PubMed )
Supplement: CAM4-10-8581-s002.xlsx › Supplementary_Table_S2

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_15.xlsx › Sheet1

Usefulness of Circulating Tumor DNA in Identifying Somatic Mutations and Tracking Tumor Evolution in Patients With Non-small Cell Lung Cancer.

Roosan MR et al.

Chest, 2021

33878340 (PubMed )
Supplement: mmc1.pdf

Clinicopathological and molecular characteristics of patients with hypermutant lung cancer: A retrospective cohort study.

Zhang H et al.

Oncology Letters, 2021

33692861 (PubMed )
Supplement: Supplementary_Data.pdf

Predicting osimertinib-treatment outcomes through EGFR mutant-fraction monitoring in the circulating tumor DNA of EGFR T790M-positive patients with non-small cell lung cancer (WJOG8815L).

Sakai K et al.

Molecular Oncology, 2021

33131198 (PubMed )
Supplement: MOL2-15-126-s007.xlsx › Table_S3

Somatic Mutation Profiles Revealed by Next Generation Sequencing (NGS) in 39 Chinese Hepatocellular Carcinoma Patients.

Ke L et al.

Frontiers in Molecular Biosciences, 2021

35118119 (PubMed )
Supplement: Table6.xlsx › Sheet1

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

Distinct age-associated molecular profiles in acute myeloid leukemia defined by comprehensive clinical genomic profiling.

Tarlock K et al.

Oncotarget, 2018

29899868 (PubMed )
Supplement: oncotarget-09-26417-s005.xlsx › genomics

Pan-urologic cancer genomic subtypes that transcend tissue of origin.

Chen F et al.

Nature Communications, 2017

28775315 (PubMed )
Supplement: 41467_2017_289_MOESM7_ESM.xlsx › mutation_data

Landscape of somatic mutations in different subtypes of advanced breast cancer with circulating tumor DNA analysis.

Yi Z et al.

Scientific Reports, 2017

28729728 (PubMed )
Supplement: 41598_2017_6327_MOESM1_ESM.pdf

Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets.

Schulze K et al.

Nature Genetics, 2015

25822088 (PubMed )
Supplement: NIHMS62359-supplement-Table3.xlsx › SuppTable_3a_242_exomes

Heterogeneity in the inter-tumor transcriptome of high risk prostate cancer.

Wyatt AW et al.

Genome Biology, 2014

25155515 (PubMed )
Supplement: 13059_2014_426_MOESM2_ESM.pdf

Predicting the functional impact of protein mutations: application to cancer genomics.

Reva B et al.

Nucleic Acids Research, 2011

21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1

TP53 mutation analysis of malignant peripheral nerve sheath tumors.

Verdijk RM et al.

Journal of Neuropathology and Experimental Neurology, 2010

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