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
Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.
Khalil SS et al.
Cureus, 2024
Molecular Divergence upon EGFR-TKI Resistance Could Be Dependent on the Exon Location of the Original EGFR-Sensitizing Mutation.
Serna-Blasco R et al.
Cancers, 2022
36139605 (PubMed )
Supplement: cancers-14-04446-s001.zip › Supplemental_data_S4.xlsx › variants_datasheet
Upfront Next Generation Sequencing in Non-Small Cell Lung Cancer.
Kuang S et al.
Current Oncology (toronto, Ont.), 2022
35877212 (PubMed )
Supplement: curroncol-29-00352-s001.zip › LUNGS1_16_june_2022_supplemental_2_variants_no_code.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
Clinicopathological and molecular characteristics of patients with hypermutant lung cancer: A retrospective cohort study.
Zhang H et al.
Oncology Letters, 2021
33692861 (PubMed )
Supplement: Supplementary_Data.pdf
Selective identification of somatic mutations in pancreatic cancer cells through a combination of next-generation sequencing of plasma DNA using molecular barcodes and a bioinformatic variant filter.
Kukita Y et al.
Plos One, 2018
29451897 (PubMed )
Supplement: pone.0192611.s007.xlsx › tableSX
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