Associated Papers
Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.
Chow RD et al.
Npj Precision Oncology, 2024
39427061 (PubMed )
Supplement: 41698_2024_710_MOESM2_ESM.xlsx › S3
Identification of Genes with Rare Loss of Function Variants Associated with Aggressive Prostate Cancer and Survival.
Saunders EJ et al.
European Urology Oncology, 2024
38458890 (PubMed )
Supplement: NIHMS2085376-supplement-Supplementary_Tables.xlsx › Supp_Table_3
The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.
Bolze A et al.
Jama Oncology, 2024
38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4
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
Rare Germline Variants in ATM Predispose to Prostate Cancer: A PRACTICAL Consortium Study.
Karlsson Q et al.
European Urology Oncology, 2021
33436325 (PubMed )
Supplement: mmc2.xlsx › Table_S4
Predictive Biomarkers for Immune Checkpoint Inhibitors in Metastatic Breast Cancer.
Sivapiragasam A et al.
Cancer Medicine, 2021
33314633 (PubMed )
Supplement: CAM4-10-53-s003.xlsx › Sheet1
Genetic and Genomic Characterization of 462 Melanoma Patient-Derived Xenografts, Tumor Biopsies, and Cell Lines.
Garman B et al.
Cell Reports, 2017
Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes.
Riaz N et al.
Nature Communications, 2017
29021619 (PubMed )
Supplement: 41467_2017_921_MOESM5_ESM.xlsx › Sheet1
Kinase-dead ATM protein is highly oncogenic and can be preferentially targeted by Topo-isomerase I inhibitors.
Yamamoto K et al.
Elife, 2016
27304073 (PubMed )
Supplement: elife-14709-supp1.xlsx › Supplementary_Information_1B
Antitumor response of an ERBB2 amplified inflammatory breast carcinoma with EGFR mutation to the EGFR-TKI erlotinib.
Ali SM et al.
Clinical Breast Cancer, 2014
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