Associated Papers
TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.
Liu S et al.
Annals of Hematology, 2026
41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3
Complex genetic landscape in CLL: Clinical impact on patients' survival and insights into the altered molecular pathways.
Caputo C et al.
Molecular Therapy. Oncology, 2025
Somatic mutation and selection at population scale.
Lawson ARJ et al.
Nature, 2025
41062696 (PubMed )
Supplement: 41586_2025_9584_MOESM6_ESM.xlsx › clinvar_annotation
Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53.
Fortuno C et al.
Hgg Advances, 2025
40696762 (PubMed )
Supplement: mmc2.xlsx › Supplemental_Table_3
High-throughput evaluation of genetic variants with prime editing sensor libraries.
Gould SI et al.
Nature Biotechnology, 2025
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
Clinical Significance of TP53-Mutant Clonal Hematopoiesis Across Diseases.
Usui Y et al.
Blood Cancer Discovery, 2025
40525786 (PubMed )
Supplement: bcd-24-0355_table_s2_suppst2.xlsx › Sheet1
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
39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1
Systematic assessment and optimizing algorithm of tumor mutational burden calculation and their implications in clinical decision-making.
Sun D et al.
Frontiers in Oncology, 2022
36425562 (PubMed )
Supplement: Table_3.xlsx › Sheet1
Prospective evaluation of NGS-based liquid biopsy in untreated late stage non-squamous lung carcinoma in a single institution.
Heeke S et al.
Journal of Translational Medicine, 2020
32066459 (PubMed )
Supplement: 12967_2020_2259_MOESM2_ESM.xlsx › Tissue_NGS
CD133 and BMI1 expressions and its prognostic role in primary glioblastoma.
Sibin MK et al.
Journal of Genetics, 2015
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
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