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
Comparison of Comprehensive Genomic Profiling Testing "Ion Torrent Genexus Sequencer" With FoundationOne.
Fujiyoshi K et al.
Anticancer Research, 2025
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
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53
Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.
Tam B et al.
Briefings in Bioinformatics, 2024
TP53 and KMT2D mutations associated with worse prognosis in peripheral T-cell lymphomas.
Wang L et al.
Cancer Medicine, 2024
The Broad Spectrum of TP53 Mutations in CLL: Evidence of Multiclonality and Novel Mutation Hotspots.
Lazarian G et al.
Human Mutation, 2023
40225169 (PubMed )
Supplement: 4880113.f1.zip › table_S3.xlsx › table_S3
Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.
G V et al.
Frontiers in Genetics, 2022
36561320 (PubMed )
Supplement: Table2.xlsx › TP53
Comprehensive Identification of Deleterious TP53 Missense VUS Variants Based on Their Impact on TP53 Structural Stability.
Tam B et al.
International Journal of Molecular Sciences, 2021
Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.
Reza MN et al.
Scientific Reports, 2021
34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_3.xlsx › Sheet1
Characterization of the genomic landscape and actionable mutations in Chinese breast cancers by clinical sequencing.
Lang GT et al.
Nature Communications, 2020
33173047 (PubMed )
Supplement: 41467_2020_19342_MOESM7_ESM.xlsx › PGI_fudan_NC_clnical.oc
Genomic Database Analysis of Uterine Leiomyosarcoma Mutational Profile.
Astolfi A et al.
Cancers, 2020
32751892 (PubMed )
Supplement: cancers-12-02126-s001.zip › cancers-864725-supple › cancers-864725-supple-proofed.xlsx › Table_S2
An Integrated Next-Generation Sequencing System for Analyzing DNA Mutations, Gene Fusions, and RNA Expression in Lung Cancer.
Haynes BC et al.
Translational Oncology, 2019
30981944 (PubMed )
Supplement: mmc1.xlsx › S3
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
Analytical Validation of a Hybrid Capture-Based Next-Generation Sequencing Clinical Assay for Genomic Profiling of Cell-Free Circulating Tumor DNA.
Clark TA et al.
The Journal of Molecular Diagnostics : Jmd, 2018
29936259 (PubMed )
Supplement: mmc12.xlsx › Table_S12
CanDrA: cancer-specific driver missense mutation annotation with optimized features.
Mao Y et al.
Plos One, 2013
24205039 (PubMed )
Supplement: pone.0077945.s001.xls › Table_S3
Genomic landscape and actionable mutations of brain metastases derived from non-small cell lung cancer: A systematic review.
Andrews LJ et al.
Neuro-oncology Advances, 0
38130901 (PubMed )
Supplement: vdad145_suppl_supplementary_data.xlsx › Individual_data
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