Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.D61V
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TP53

NM_000546.6:p.D61V

Associated Papers

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

Genomic alterations linked to recurrence risk in high-grade serous ovarian cancer revealed by deep targeted sequencing.

Park YH et al.

Scientific Reports, 2025

41413429 (PubMed )
Supplement: 41598_2025_26481_MOESM2_ESM.xlsx › Supplementary_Table_S2

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

Comprehensive genomic profiling of Taiwanese triple-negative breast cancer samples with medium- and large-sized sequencing panels: A comparative study implicating treatment allocations.

Huang CC et al.

Biomedical Reports, 2025

40831628 (PubMed )
Supplement: Supplementary_Data2.pdf

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

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

The theory of massively repeated evolution and full identifications of cancer-driving nucleotides (CDNs).

Zhang L et al.

Elife, 2024

39688960 (PubMed )
Supplement: elife-99340-supp1.xlsx › CDN.Missense.gnomad

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

The genomic landscape of lung cancer in never-smokers from the Women's Health Initiative.

Moorthi S et al.

Jci Insight, 2024

39052387 (PubMed )
Supplement: jciinsight-9-174643-s252.xlsx › Table_S3

Molecular Characterization of Advanced-Stage Melanomas in Clinical Practice Using a Laboratory-Developed Next-Generation Sequencing Panel.

Maloberti T et al.

Diagnostics (basel, Switzerland), 2024

38667446 (PubMed )
Supplement: diagnostics-14-00800-s001.zip › Supplementary_Table_S1.xlsx › Foglio1

Clinical, Pathological and Molecular Insights on KRAS, NRAS, BRAF, PIK3CA and TP53 Mutations in Metastatic Colorectal Cancer Patients from Northeastern Romania.

Afrăsânie VA et al.

International Journal of Molecular Sciences, 2023

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_S1

High-risk multiple myeloma predicted by circulating plasma cells and its genetic characteristics.

Xia Y et al.

Frontiers in Oncology, 2023

36845679 (PubMed )
Supplement: Table_1.xlsx › Suppl._Table_2

Multigene panel next generation sequencing in metastatic colorectal cancer in an Australian population.

Nindra U et al.

Plos One, 2023

37796807 (PubMed )
Supplement: pone.0292087.s001.xlsx › Sheet1

Analysis of the clinical characteristics and prognosis of adult de novo acute myeloid leukemia (none APL) with PTPN11 mutations.

Sheng L et al.

Open Medicine (warsaw, Poland), 2023

Molecular Biology and Therapeutic Perspectives for K-Ras Mutant Non-Small Cell Lung Cancers.

Cekani E et al.

Cancers, 2022

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

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

A genetically defined signature of responsiveness to erlotinib in early-stage pancreatic cancer patients: Results from the CONKO-005 trial.

Hoyer K et al.

Ebiomedicine, 2021

33862582 (PubMed )
Supplement: mmc3.xlsx › S5

Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry.

Xu C et al.

Bmc Medical Genomics, 2020

33008377 (PubMed )
Supplement: 12920_2020_804_MOESM1_ESM.xls › SuppTable1

Molecular Diagnostic of Solid Tumor Using a Next Generation Sequencing Custom-Designed Multi-Gene Panel.

de Biase D et al.

Diagnostics (basel, Switzerland), 2020

32340363 (PubMed )
Supplement: diagnostics-10-00250-s001.pdf

Validation and clinical application of a targeted next-generation sequencing gene panel for solid and hematologic malignancies.

Prieto-Potin I et al.

Peerj, 2020

33083132 (PubMed )
Supplement: peerj-08-10069-s007.xlsx › Table_S2

Oncogenic driver mutations in Swiss never smoker patients with lung adenocarcinoma and correlation with clinicopathologic characteristics and outcome.

Grosse C et al.

Plos One, 2019

Preoperative next-generation sequencing of pancreatic cyst fluid is highly accurate in cyst classification and detection of advanced neoplasia.

Singhi AD et al.

Gut, 2018

28970292 (PubMed )
Supplement: gutjnl-2016-313586supp002.pdf

Validating Comprehensive Next-Generation Sequencing Results for Precision Oncology: The NCT/DKTK Molecularly Aided Stratification for Tumor Eradication Research Experience.

Lier A et al.

Jco Precision Oncology, 2018

35135162 (PubMed )
Supplement: ds_po.18.00171-2.pdf

Mutational processes shape the landscape of TP53 mutations in human cancer.

Giacomelli AO et al.

Nature Genetics, 2018

30224644 (PubMed )
Supplement: NIHMS1501645-supplement-4.xlsx › Giacomelli_et_al_New_Supplement

Contribution of allelic imbalance to colorectal cancer.

Palin K et al.

Nature Communications, 2018

30202008 (PubMed )
Supplement: 41467_2018_6132_MOESM11_ESM.xlsx › Somatic_mutations_in_234_MSS_CR

KRAS, NRAS and BRAF mutations detected by next generation sequencing, and differential clinical outcome in metastatic colorectal cancer (MCRC) patients treated with first line FIr-B/FOx adding bevacizumab (BEV) to triplet chemotherapy.

Bruera G et al.

Oncotarget, 2018

Prognostic and histogenetic roles of gene alteration and the expression of key potentially actionable targets in salivary duct carcinomas.

Shimura T et al.

Oncotarget, 2018

29416736 (PubMed )
Supplement: oncotarget-09-1852-s001.pdf

Frequency of NRAS Gene Mutation in Wild Type KRAS and BRAF Colorectal Cancers; a Single Center Study.

Momenzadeh H et al.

Middle East Journal of Digestive Diseases, 2018

Modeling cancer driver events in vitro using barrier bypass-clonal expansion assays and massively parallel sequencing.

Huskova H et al.

Oncogene, 2017

Mutational heterogeneity in non-serous ovarian cancers.

Teer JK et al.

Scientific Reports, 2017

28852190 (PubMed )
Supplement: 41598_2017_10432_MOESM2_ESM.xlsx › Supp_Table_11

Mutational landscape reflects the biological continuum of plasma cell dyscrasias.

Rossi A et al.

Blood Cancer Journal, 2017

Multi-platform molecular profiling of a large cohort of glioblastomas reveals potential therapeutic strategies.

Xiu J et al.

Oncotarget, 2016

26933808 (PubMed )
Supplement: oncotarget-07-21556-s001.pdf

Genomic and molecular characterization of esophageal squamous cell carcinoma.

Lin DC et al.

Nature Genetics, 2014

24686850 (PubMed )
Supplement: NIHMS573166-supplement-9.xlsx › Supplementary_Table_6

Modelling mutational landscapes of human cancers in vitro.

Olivier M et al.

Scientific Reports, 2014

24670820 (PubMed )
Supplement: srep04482-s2.xls › Suppl_Table_1

Epigenetic and genetic features of 24 colon cancer cell lines.

Ahmed D et al.

Oncogenesis, 2013

24042735 (PubMed )
Supplement: oncsis201335x2.xls › Sheet1

Mutational signature of aristolochic acid exposure as revealed by whole-exome sequencing.

Hoang ML et al.

Science Translational Medicine, 2013

Extended-spectrum of KRAS and NRAS mutations in lung cancer tissue specimens obtained with bronchoscopy.

Basdemirci M et al.

Indian Journal of Cancer, 0

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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."