473
Views
10
CrossRef citations to date
0
Altmetric
Review

Immunotherapy for oesophagogastric cancer

&
Pages 1197-1207 | Received 29 Apr 2016, Accepted 12 Jul 2016, Published online: 25 Jul 2016
 

ABSTRACT

Introduction: Gastric and oesophageal cancers are a pressing global health problem with high mortality rates and poor outcomes for advanced disease. The mainstay of treatment in the palliative setting has traditionally been chemotherapy, which accrues only modest survival benefits. As with other cancer types, there is increasing interest in the use of immunotherapy approaches to improve outcomes.

Areas covered: This paper reviews the aetiological and genetic characteristics of oesophagogastric (OG) cancers relevant to the application of immunotherapy and outlines the historical, present-day and potential future applications of immunotherapy in their management.

Expert opinion: The use of agents targeting the PD1 pathway have led to impressive and durable responses in a minority of OG cancer patients and it would be expected that combinatorial approaches with chemotherapy, radiotherapy and other biological agents will improve responses further. Identification of clinically robust biomarkers is crucial in refining such approaches moving forwards. The application of modern sequencing technology to the development of personalized neoantigen-based vaccines represents an exciting amalgamation of genomics and immunotherapy, with potentially important clinical implications in OG cancer.

Article highlights

  • Immunotherapy including immune checkpoint inhibition is a growing area of research in gastric and esophageal cancers and certain epidemiological and molecular characteristics of these tumors may predict for favourable responses to immunotherapeutic approaches

  • Checkpoint inhibition with the anti-PD1 monoclonal antibodies pembrolizumab and nivolumab have led to impressive response rates in advanced, heavily pre-treated gastric and esophageal cancer populations

  • Responses have been seen in both PDL1 positive and negative patients however there is a trend towards higher response rates in tumors showing greater PDL-1 expression. Further biomarker research is required to effectively identify patients who will respond to immunotherapeutic approaches

  • Combinatorial approaches of checkpoint inhibition alongside chemotherapy, radiotherapy and targeted agents are likely to further improve outcomes going forwards

  • Modern sequencing technology now allows for the identification of unique, tumor-specific neoantigen profiles. Clinical trials applying this technology to tumor-unique neoantigen-based vaccines are ongoing and if successful would represent an exciting amalgamation of genomic technology and immunotherapy with potentially important implications for OG cancer treatment.

This box summarizes key points contained in the article

Declaration of interest

I Chau is on the advisory board of Sanofi Oncology, Eli-Lilly and company, Bristol-Myers Squibb, Merck Sharp and Dohme, Merck Serono and Gilead Sciences. He has also received research funding from Janssen-Cilag, Sanofi Oncology, Roche, Merck Serono and Novartis and honoraria from Taiho, Pfizer Inc, Amgen Inc, Eli Lilly and company and Bayer Healthcare. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Additional information

Funding

This paper has not been funded.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 960.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.