Associated Papers
Mutational profiling using liquid biopsy to guide targeted therapy in patients with metastatic cancer.
Mazouji O et al.
Scientific Reports, 2025
40169620 (PubMed )
Supplement: 41598_2025_88094_MOESM2_ESM.xlsx › Feuil1
Organismal metabolism regulates the expansion of oncogenic PIK3CA mutant clones in normal esophagus.
Herms A et al.
Nature Genetics, 2024
39169259 (PubMed )
Supplement: 41588_2024_1891_MOESM5_ESM.xlsx › Supplementary_Table_5
Identification of cancer driver mutations in liquid-based cytology samples for the screening of endometrial diseases.
Matsuura M et al.
Bjc Reports, 2023
39516270 (PubMed )
Supplement: 44276_2023_20_MOESM3_ESM.xlsx › Table_S3
High prevalence of somatic PIK3CA and TP53 pathogenic variants in the normal mammary gland tissue of sporadic breast cancer patients revealed by duplex sequencing.
Kostecka A et al.
Npj Breast Cancer, 2022
35768433 (PubMed )
Supplement: 41523_2022_443_MOESM9_ESM.xlsx › DuplexSeq_all
Clinically actionable cancer somatic variants (CACSV): a tumor interpreted dataset for analytical workflows.
Sobahy TM et al.
Bmc Medical Genomics, 2022
35468810 (PubMed )
Supplement: 12920_2022_1235_MOESM2_ESM.xlsx › Sheet1
Profiling diverse sequence tandem repeats in colorectal cancer reveals co-occurrence of microsatellite and chromosomal instability involving Chromosome 8.
Shin G et al.
Genome Medicine, 2021
34488871 (PubMed )
Supplement: 13073_2021_958_MOESM2_ESM.xlsx › Table_S15_Variant_annotation
Spatially interacting phosphorylation sites and mutations in cancer.
Huang KL et al.
Nature Communications, 2021
33875650 (PubMed )
Supplement: 41467_2021_22481_MOESM4_ESM.xlsx › TableS5.ActMutationClusters
Oncogenic driver mutations predict outcome in a cohort of head and neck squamous cell carcinoma (HNSCC) patients within a clinical trial.
Fernández-Mateos J et al.
Scientific Reports, 2020
33024167 (PubMed )
Supplement: 41598_2020_72927_MOESM2_ESM.xlsx › Sheet1
Immunogenicity and Immune Silence in Human Cancer.
Yarmarkovich M et al.
Frontiers in Immunology, 2020
32256484 (PubMed )
Supplement: Table_4.XLSX › TCGA_HLAs_and_mutations
Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.
Agajanian S et al.
Journal of Chemical Information and Modeling, 2018
Clonal Expansion and Diversification of Cancer-Associated Mutations in Endometriosis and Normal Endometrium.
Suda K et al.
Cell Reports, 2018
Genomic Analysis of Uterine Lavage Fluid Detects Early Endometrial Cancers and Reveals a Prevalent Landscape of Driver Mutations in Women without Histopathologic Evidence of Cancer: A Prospective Cross-Sectional Study.
Nair N et al.
Plos Medicine, 2016
28027320 (PubMed )
Supplement: pmed.1002206.s015.xlsx › potential_drivers
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