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
The correlation between clinical outcomes and genomic analysis with high risk factors for the progression of osteosarcoma.
Liu W et al.
Molecular Oncology, 2024
37727135 (PubMed )
Supplement: MOL2-18-939-s001.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
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
Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer.
Wang K et al.
Nature Genetics, 2014
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