Sort   by:  
 Page size 
UnknownDeep Learning-Based Survival Analysis Identified Associations Between Molecular Subtype and Optimal Adjuvant Treatment of Patients With Gastric Cancer.

Purpose

Gastric cancer (GC) is the third-leading cause of cancer-related deaths. Several pivotal clinical trials of adjuvant treatments were performed during the previous decade; however, the optimal regimen for adjuvant treatment of GC remains controversial.

Patients and methods

We d...
S-EPMC6873983 | biostudies-literature
MetabolomicsSnail reprograms glucose metabolism by repressing PFKP allowing cancer cell survival under metabolic stress
Dynamic regulation of glucose flux between aerobic glycolysis and the pentose phosphate pathway (PPP) during epithelial-mesenchymal transition (EMT) is not well-understood. Here we show that Snail (SNAI1), a key transcriptional repressor of EMT, regulates glucose flux toward PPP, allowing cancer cel...
2017-11-07 | MTBLS387 | MetaboLights
ProteomicsJUMPg: an Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells
Proteogenomics is an emerging approach to improve gene annotation and interpretation of proteomics data. Here we present JUMPg, an integrative proteogenomics pipeline including customized database construction, tag-based database search, peptide-spectrum match filtering, and data visualization. JUMP...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-03-16 | MSV000080641 | MassIVE
UnknownGenomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas.
This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smoking and/or human papillomavirus (HPV). SCCs harbor 3q, 5p, and other recurrent chromosomal copy-number alterations (C...
S-EPMC6002769 | biostudies-literature
UnknownSystematic Analysis of Splice-Site-Creating Mutations in Cancer.
For the past decade, cancer genomic studies have focused on mutations leading to splice-site disruption, overlooking those having splice-creating potential. Here, we applied a bioinformatic tool, MiSplice, for the large-scale discovery of splice-site-creating mutations (SCMs) across 8,656 TCGA tumor...
S-EPMC6055527 | biostudies-literature
UnknownComprehensive Characterization of Cancer Driver Genes and Mutations.
Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising ...
S-EPMC6029450 | biostudies-literature
UnknownPan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas.
Although the MYC oncogene has been implicated in cancer, a systematic assessment of alterations of MYC, related transcription factors, and co-regulatory proteins, forming the proximal MYC network (PMN), across human cancers is lacking. Using computational approaches, we define genomic and proteomic ...
S-EPMC5892207 | biostudies-literature
UnknownComprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.
Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples....
S-EPMC9844097 | biostudies-literature
UnknownCell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.
We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethy...
S-EPMC5957518 | biostudies-literature
UnknownMolecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers.
Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical re...
S-EPMC5916795 | biostudies-literature
Sort   by:  
 Page size