Cargando…

Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data

BACKGROUND: So far only trastuzumab, pembrolizumab and ramucirumab have been approved by the FDA for targeted therapy in gastric cancer (GC). Here we report on potential targeted therapy options for gastric adenocarcinoma based on a novel analysis of “The Cancer Genome Atlas (TCGA)” database. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Hescheler, Daniel A., Plum, Patrick S., Zander, Thomas, Quaas, Alexander, Korenkov, Michael, Gassa, Asmae, Michel, Maximilian, Bruns, Christiane J., Alakus, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305081/
https://www.ncbi.nlm.nih.gov/pubmed/32107691
http://dx.doi.org/10.1007/s10120-020-01045-9
_version_ 1783548383261097984
author Hescheler, Daniel A.
Plum, Patrick S.
Zander, Thomas
Quaas, Alexander
Korenkov, Michael
Gassa, Asmae
Michel, Maximilian
Bruns, Christiane J.
Alakus, Hakan
author_facet Hescheler, Daniel A.
Plum, Patrick S.
Zander, Thomas
Quaas, Alexander
Korenkov, Michael
Gassa, Asmae
Michel, Maximilian
Bruns, Christiane J.
Alakus, Hakan
author_sort Hescheler, Daniel A.
collection PubMed
description BACKGROUND: So far only trastuzumab, pembrolizumab and ramucirumab have been approved by the FDA for targeted therapy in gastric cancer (GC). Here we report on potential targeted therapy options for gastric adenocarcinoma based on a novel analysis of “The Cancer Genome Atlas (TCGA)” database. METHODS: One hundred two FDA-approved targeted cancer drugs were compiled and molecular targets defined. Drugs were considered as potentially effective if targeted genes showed (1) an increase in copy number, (2) gain of function with oncogene activation, (3) specific alterations responsive to approved drugs. Additionally, genetic changes that confer drug resistance and/or sensitivity were evaluated. RESULTS: Fifty percentage of patients with GC may be treatable with non-GC but FDA-approved targeted cancer therapies. The major drug identified in our in silico study for GC is copanlisib, a PI3K inhibitor. In the TCGA patient database, our genetically based drug response prediction identified more patients with alterations sensitive to copanlisib compared to the already-GC-approved drug trastuzumab (20%, 78 out of 393 patients, vs. trastuzumab: 13%, 52 of 393 patients), which is mainly due to the high incidence of PIK3CA gain of function mutations within mutation hot spots. CONCLUSION: Our results demonstrate that various currently FDA-approved drugs might be candidates for targeted therapy of GC. For clinical trials, cancer patients should be selected based on the genomic profile of their tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10120-020-01045-9) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-7305081
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Singapore
record_format MEDLINE/PubMed
spelling pubmed-73050812020-06-22 Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data Hescheler, Daniel A. Plum, Patrick S. Zander, Thomas Quaas, Alexander Korenkov, Michael Gassa, Asmae Michel, Maximilian Bruns, Christiane J. Alakus, Hakan Gastric Cancer Original Article BACKGROUND: So far only trastuzumab, pembrolizumab and ramucirumab have been approved by the FDA for targeted therapy in gastric cancer (GC). Here we report on potential targeted therapy options for gastric adenocarcinoma based on a novel analysis of “The Cancer Genome Atlas (TCGA)” database. METHODS: One hundred two FDA-approved targeted cancer drugs were compiled and molecular targets defined. Drugs were considered as potentially effective if targeted genes showed (1) an increase in copy number, (2) gain of function with oncogene activation, (3) specific alterations responsive to approved drugs. Additionally, genetic changes that confer drug resistance and/or sensitivity were evaluated. RESULTS: Fifty percentage of patients with GC may be treatable with non-GC but FDA-approved targeted cancer therapies. The major drug identified in our in silico study for GC is copanlisib, a PI3K inhibitor. In the TCGA patient database, our genetically based drug response prediction identified more patients with alterations sensitive to copanlisib compared to the already-GC-approved drug trastuzumab (20%, 78 out of 393 patients, vs. trastuzumab: 13%, 52 of 393 patients), which is mainly due to the high incidence of PIK3CA gain of function mutations within mutation hot spots. CONCLUSION: Our results demonstrate that various currently FDA-approved drugs might be candidates for targeted therapy of GC. For clinical trials, cancer patients should be selected based on the genomic profile of their tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10120-020-01045-9) contains supplementary material, which is available to authorized users. Springer Singapore 2020-02-27 2020 /pmc/articles/PMC7305081/ /pubmed/32107691 http://dx.doi.org/10.1007/s10120-020-01045-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Hescheler, Daniel A.
Plum, Patrick S.
Zander, Thomas
Quaas, Alexander
Korenkov, Michael
Gassa, Asmae
Michel, Maximilian
Bruns, Christiane J.
Alakus, Hakan
Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title_full Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title_fullStr Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title_full_unstemmed Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title_short Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
title_sort identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305081/
https://www.ncbi.nlm.nih.gov/pubmed/32107691
http://dx.doi.org/10.1007/s10120-020-01045-9
work_keys_str_mv AT heschelerdaniela identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT plumpatricks identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT zanderthomas identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT quaasalexander identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT korenkovmichael identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT gassaasmae identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT michelmaximilian identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT brunschristianej identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata
AT alakushakan identificationoftargetedtherapyoptionsforgastricadenocarcinomabycomprehensiveanalysisofgenomicdata