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
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 minigene analysis of 161 sequence changes provides evidence for role of spatial constraint and regulatory elements on variant-induced splicing impact.
Canson DM et al.
Npj Genomic Medicine, 2025
40341019 (PubMed )
Supplement: 41525_2025_498_MOESM2_ESM.xlsx › Data_S2
Subclonal TP53 and KRAS variants combined with poor treatment response identify ultrahigh-risk pediatric patients with T-ALL.
Kempter T et al.
Blood Advances, 2025
39808796 (PubMed )
Supplement: BLOODA_ADV-2024-014209-mmc1.pdf
DNA damage response and repair gene mutations predict clinical outcomes in biliary tract cancer.
Tan S et al.
Cancer, 2025
39876053 (PubMed )
Supplement: supplement_1.pdf
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
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
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
Detection of germline variants in Brazilian breast cancer patients using multigene panel testing.
Guindalini RSC et al.
Scientific Reports, 2022
35264596 (PubMed )
Supplement: 41598_2022_7383_MOESM3_ESM.xlsx › Planilha1
The transcriptional landscape of Shh medulloblastoma.
Skowron P et al.
Nature Communications, 2021
33741928 (PubMed )
Supplement: 41467_2021_21883_MOESM5_ESM.xlsx › _B__Functional_Mutations
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
Genomic Analysis Reveals Novel Specific Metastatic Mutations in Chinese Clear Cell Renal Cell Carcinoma.
Meng H et al.
Biomed Research International, 2020
33062672 (PubMed )
Supplement: 2495157.f1.xlsx › Table_S4
Deep targeted sequencing of TP53 in chronic lymphocytic leukemia: clinical impact at diagnosis and at time of treatment.
Brieghel C et al.
Haematologica, 2019
Identification of a genetically defined ultra-high-risk group in relapsed pediatric T-lymphoblastic leukemia.
Richter-Pechańska P et al.
Blood Cancer Journal, 2017
28157215 (PubMed )
Supplement: bcj20173x11.xlsx › SNVsInDelsCalled_in214Pts
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