CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Gastroesophageal junction carcinoma multimodal treatment: Standards, debate and new therapeutic options
Authors
T. Liakakos Katsios, C. Roukos, D.H.
Publication date
1 January 2011
Publisher
Abstract
Carcinoma of the gastroesophageal junction (GEJ) may represent a specific histopathological and biologic entity. Most clinical trial data available have emerged by including GEJ cancer either in gastric or esophageal cancer studies. Although surgery and chemotherapy are considered the standard treatment for the disease, numerous questions remain unanswered and there is still much debate. In this article, we discuss the challenges in how to approach an optimal multidisciplinary treatment including surgery, timing (preoperative, postoperative, perioperative) and chemotherapeutic regimen, radiotherapy and targeted therapy. More recent advances in genetics, genomics, and next-generation sequencing (NGS) technologies for whole and exome cancer genome sequencing and systems biology approaches are also discussed. All of these new translational research approaches reflect a current worldwide consensus on the urgent need to improve the poor outcome of patients with GEJ cancer. Whether novel biomarkers, together with a new generation of individual tumor-guided agents, could be developed to achieve personalized management of this highly fatal disease is also addressed. © 2011 Expert Reviews Ltd
Similar works
Full text
Available Versions
Pergamos : Unified Institutional Repository / Digital Library Platform of the National and Kapodistrian University of Athens
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:lib.uoa.gr:uoadl:3129823
Last time updated on 10/02/2023