Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.D208E
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TP53

NM_000546.6:p.D208E

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

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

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

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

Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.

Khalil SS et al.

Cureus, 2024

Genomic landscape of liquid biopsy mutations in TP53 and DNA damage genes in cancer patients.

Vasseur D et al.

Npj Precision Oncology, 2024

38409229 (PubMed )
Supplement: 41698_2024_544_MOESM2_ESM.pdf

Correlations between Molecular Alterations, Histopathological Characteristics, and Poor Prognosis in Esophageal Adenocarcinoma.

Orsini A et al.

Cancers, 2023

36900206 (PubMed )
Supplement: cancers-15-01408-s001.zip › cancers-2191970-supplementary.pdf

Circulating tumour DNA in metastatic breast cancer to guide clinical trial enrolment and precision oncology: A cohort study.

Zivanovic Bujak A et al.

Plos Medicine, 2020

33001984 (PubMed )
Supplement: pmed.1003363.s013.xlsx › S4_Table

The correlations of tumor mutational burden among single-region tissue, multi-region tissues and blood in non-small cell lung cancer.

Zhang Y et al.

Journal for Immunotherapy of Cancer, 2019

30944026 (PubMed )
Supplement: 40425_2019_581_MOESM3_ESM.pdf

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

Missense mutations in the TP53 DNA-binding domain predict outcomes in patients with advanced oral cavity squamous cell carcinoma.

Lapke N et al.

Oncotarget, 2016

27283772 (PubMed )
Supplement: oncotarget-07-44194-s003.xlsx › Table_S2

Establishment and characterization of new cell lines of anaplastic pancreatic cancer, which is a rare malignancy: OCUP-A1 and OCUP-A2.

Miura K et al.

Bmc Cancer, 2016

Investigation and prediction of the severity of p53 mutants using parameters from structural calculations.

Carlsson J et al.

The Febs Journal, 2009

Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.

Chen Z et al.

Plos One, 2008

19005564 (PubMed )
Supplement: pone.0003714.s006.xls › Table_S-4
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