Article

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

2018-05-14

Abstract excerpt

<h4>ABSTRACT</h4> The identification of somatic alterations with a cancer promoting role is challenging in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we developed a machine learning algorithm to identify cancer genes in individual patients considering all types of damaging alterations simultaneously (mutations, copy number alterations and structural rearrangements). A...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9725569d-f048-5d33-a011-ec02dbcdb7cf
DOI: 10.1101/321612

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinomaDOI 10.1101/321612Read

The landscape of selection in 551 Esophageal Adenocarcinomas defines genomic biomarkers for the clinicSemantic proximity Read

Somatic mutations in early metazoan genes disrupt regulatory links between unicellular and multicellular genes in cancerSemantic proximity Read

Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity.Semantic proximity Read

The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screensSemantic proximity Read

A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancerSemantic proximity Read

Whole genome sequencing in oesophageal adenocarcinoma unmasks potential precision therapies.Semantic proximity Read

Comparative assessment of genes driving cancer and somatic evolution in noncancer tissues: an update of the NCG resourceSemantic proximity Read

A compendium of genetic drivers for oesophageal adenocarcinoma defines prognostic and therapeutic biomarkers for use in the clinicSemantic proximity Read

Identification of the distinct genomic features in gastroesophageal junction adenocarcinoma and its Siewert subtypes.Semantic proximity Read

Genome-wide analysis of esophageal adenocarcinoma yields specific copy number aberrations that correlate with prognosis.Semantic proximity Read

Integrative proteogenomic characterization of early esophageal cancerSemantic proximity Read

Genomic and transcriptomic alterations associated with drug vulnerabilities and prognosis in adenocarcinoma at the gastroesophageal junction.Semantic proximity Read