Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Chilean Gastric Cancer Task Force (FORCE 1)

Pontificia Universidad Catolica de Chile · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
Open Source ↗
biomarkerschemotherapygastric-adenocarcinomagastric-cancerimmunotherapyprognosissurvival
Background. Gastric cancer (GC) is the world's second leading cause of neoplastic mortality. Genetic alterations, response to treatments and mortality rates are highly heterogeneous across different regions. In Chile, GC is the leading cause of cancer death, affecting 20 per 100,000 people and \>3,000 deaths/year. Clinical outcomes and response to "one size fits all" therapies are highly heterogeneous and thus a better stratification of patients may aid cancer treatment and response. Study design/methods. The Gastric Cancer Task Force (GCTF) is a Chilean collaborative, non-interventional retrospective study that seeks to stratify gastric adenocarcinomas (GACs) using retrospect clinical outcomes and genomic, epigenomic and protein alterations in a cohort of 200 patients. Tumor samples from the pathology department and the Cancer Center at UC Christus healthcare network at Pontificia Universidad Católica de Chile will be analyzed using a panel of 143 known cancer genes (Oncomine Comprehensive Assay) at the Center of Excellence of Precision Medicine (CEMP) in Santiago, Chile. Additionally, gene promoter methylation will be performed and selected clinically relevant proteins (e.g. PD-L1, Erb-2, VEGFR2 among others) will be assessed by Tissue Microarray, Epstein-Barr virus (EBV) status will also be assessed. Observations will be correlated to 120 clinical parameters, including general patient information, cancer history, laboratory studies, comorbidity index, chemotherapy, targeted therapies, efficacy and follow-up. Discussion. The development of a clinically meaningful classification that encompasses comprehensive clinical and molecular parameters may improve patient treatment, predict clinical outcomes, aid patient selection for clinical trials and offer insights into future preventive and/or therapeutic strategies.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1370261
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive