Associated Papers
Mutation profile and immunoscore signature in thymic carcinomas: An exploratory study and review of the literature.
Asselta R et al.
Thoracic Cancer, 2021
33704917 (PubMed )
Supplement: TCA-12-1271-s003.xls › Foglio1
Fibroblast growth factor receptor 3 (FGFR3) aberrations in muscle-invasive urothelial carcinoma.
Kim YS et al.
Bmc Urology, 2018
30064409 (PubMed )
Supplement: 12894_2018_380_MOESM1_ESM.xlsx › Supplementary_Table_1
Molecular Characterization of Urothelial Carcinoma of the Bladder and Upper Urinary Tract.
Lee JY et al.
Translational Oncology, 2018
29161613 (PubMed )
Supplement: mmc1.xlsx › Supplementary_Table_1
Determining the role of missense mutations in the POU domain of HNF1A that reduce the DNA-binding affinity: A computational approach.
P S et al.
Plos One, 2017
Mutational profiling of brain metastasis from breast cancer: matched pair analysis of targeted sequencing between brain metastasis and primary breast cancer.
Lee JY et al.
Oncotarget, 2015
26527317 (PubMed )
Supplement: oncotarget-06-43731-s002.xlsx › Table_S1
Molecular characterization of patients with pathologic complete response or early failure after neoadjuvant chemotherapy for locally advanced breast cancer using next generation sequencing and nCounter assay.
Park K et al.
Oncotarget, 2015
26009992 (PubMed )
Supplement: oncotarget-06-24499-s002.xlsx › Supplementary_Table_1
Intratumoral heterogeneity in a minority of ovarian low-grade serous carcinomas.
Tone AA et al.
Bmc Cancer, 2014
25523272 (PubMed )
Supplement: 12885_2014_5198_MOESM14_ESM.xlsx › Sheet1__2_
NCI-60 whole exome sequencing and pharmacological CellMiner analyses.
Reinhold WC et al.
Plos One, 2014
25032700 (PubMed )
Supplement: pone.0101670.s001.xlsx › Supplementary_Table_1
High-throughput sequencing and copy number variation detection using formalin fixed embedded tissue in metastatic gastric cancer.
Kim S et al.
Plos One, 2014
25372287 (PubMed )
Supplement: pone.0111693.s003.xls › ion_ampliseq_cancer_panel_mutat
A Bayesian ensemble approach with a disease gene network predicts damaging effects of missense variants of human cancers.
Won HH et al.
Human Genetics, 2013
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
Predicting the functional impact of protein mutations: application to cancer genomics.
Reva B et al.
Nucleic Acids Research, 2011
21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1
Spectrum of HNF1A somatic mutations in hepatocellular adenoma differs from that in patients with MODY3 and suggests genotoxic damage.
Jeannot E et al.
Diabetes, 2010
Genotype-phenotype correlation in hepatocellular adenoma: new classification and relationship with HCC.
Zucman-Rossi J et al.
Hepatology (baltimore, Md.), 2006
Bi-allelic inactivation of TCF1 in hepatic adenomas.
Bluteau O et al.
Nature Genetics, 2002
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