Ontology highlight
ABSTRACT:
SUBMITTER: Li XC
PROVIDER: S-EPMC5913594 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Li X C XC Wang M Y MY Yang M M Dai H J HJ Zhang B F BF Wang W W Chu X L XL Wang X X Zheng H H Niu R F RF Zhang W W Chen K X KX
Annals of oncology : official journal of the European Society for Medical Oncology 20180401 4
<h4>Background</h4>Esophageal squamous cell carcinoma (ESCC) is often diagnosed at an advanced and incurable stage. Information on driver genes and prognosticators in ESCC remains incomplete. The objective was to elucidate significantly mutated genes (SMGs), mutational signatures, and prognosticators in ESCC.<h4>Patients and methods</h4>Three MutSig algorithms (i.e. MutSigCV, MutSigCL and MutSigFN) and '20/20+' ratio-metric were employed to identify SMGs. Nonnegative matrix factorization was use ...[more]