Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.A353T
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TP53

NM_000546.6:p.A353T

Associated Papers

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

An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma.

Massimino M et al.

Biomolecules, 2025

39858540 (PubMed )
Supplement: biomolecules-15-00146-s001.zip › Table_S6.xlsx › SNV_INDELs_UM

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 › Suppl._Table_6

Analysis and Interpretation of the Impact of Missense Variants in Cancer.

Petrosino M et al.

International Journal of Molecular Sciences, 2021

34063805 (PubMed )
Supplement: ijms-22-05416-s001.zip › new_supplementary_file1.xlsx › new_supplementary_file1

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

Zeng B et al.

Frontiers in Oncology, 2021

33889545 (PubMed )
Supplement: Table_6.xlsx › Sheet1

TP53 Mutation Analysis in Gastric Cancer and Clinical Outcomes of Patients with Metastatic Disease Treated with Ramucirumab/Paclitaxel or Standard Chemotherapy.

Graziano F et al.

Cancers, 2020

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

Hotspot Mutations Detectable by Next-generation Sequencing in Exhaled Breath Condensates from Patients with Lung Cancer.

Youssef O et al.

Anticancer Research, 2018

TP53 mutations in human cancer: database reassessment and prospects for the next decade.

Leroy B et al.

Human Mutation, 2014

24665023 (PubMed )
Supplement: supplement_1.pdf

Cancer-associated p53 tetramerization domain mutants: quantitative analysis reveals a low threshold for tumor suppressor inactivation.

Kamada R et al.

The Journal of Biological Chemistry, 2011

Evaluation of transcriptional activity of p53 in individual living mammalian cells.

Imagawa T et al.

Analytical Biochemistry, 2009

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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."