Cargando…

Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF

BACKGROUND: The standard treatment for patients with advanced HER2-positive gastric cancer is a combination of the antibody trastuzumab and platin-fluoropyrimidine chemotherapy. As some patients do not respond to trastuzumab therapy or develop resistance during treatment, the search for alternative...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebert, Karolin, Haffner, Ivonne, Zwingenberger, Gwen, Keller, Simone, Raimúndez, Elba, Geffers, Robert, Wirtz, Ralph, Barbaria, Elena, Hollerieth, Vanessa, Arnold, Rouven, Walch, Axel, Hasenauer, Jan, Maier, Dieter, Lordick, Florian, Luber, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908634/
https://www.ncbi.nlm.nih.gov/pubmed/35264144
http://dx.doi.org/10.1186/s12885-022-09335-4
_version_ 1784665918062723072
author Ebert, Karolin
Haffner, Ivonne
Zwingenberger, Gwen
Keller, Simone
Raimúndez, Elba
Geffers, Robert
Wirtz, Ralph
Barbaria, Elena
Hollerieth, Vanessa
Arnold, Rouven
Walch, Axel
Hasenauer, Jan
Maier, Dieter
Lordick, Florian
Luber, Birgit
author_facet Ebert, Karolin
Haffner, Ivonne
Zwingenberger, Gwen
Keller, Simone
Raimúndez, Elba
Geffers, Robert
Wirtz, Ralph
Barbaria, Elena
Hollerieth, Vanessa
Arnold, Rouven
Walch, Axel
Hasenauer, Jan
Maier, Dieter
Lordick, Florian
Luber, Birgit
author_sort Ebert, Karolin
collection PubMed
description BACKGROUND: The standard treatment for patients with advanced HER2-positive gastric cancer is a combination of the antibody trastuzumab and platin-fluoropyrimidine chemotherapy. As some patients do not respond to trastuzumab therapy or develop resistance during treatment, the search for alternative treatment options and biomarkers to predict therapy response is the focus of research. We compared the efficacy of trastuzumab and other HER-targeting drugs such as cetuximab and afatinib. We also hypothesized that treatment-dependent regulation of a gene indicates its importance in response and that it can therefore be used as a biomarker for patient stratification. METHODS: A selection of gastric cancer cell lines (Hs746T, MKN1, MKN7 and NCI-N87) was treated with EGF, cetuximab, trastuzumab or afatinib for a period of 4 or 24 h. The effects of treatment on gene expression were measured by RNA sequencing and the resulting biomarker candidates were tested in an available cohort of gastric cancer patients from the VARIANZ trial or functionally analyzed in vitro. RESULTS: After treatment of the cell lines with afatinib, the highest number of regulated genes was observed, followed by cetuximab and trastuzumab. Although trastuzumab showed only relatively small effects on gene expression, BMF, HAS2 and SHB could be identified as candidate biomarkers for response to trastuzumab. Subsequent studies confirmed HAS2 and SHB as potential predictive markers for response to trastuzumab therapy in clinical samples from the VARIANZ trial. AREG, EREG and HBEGF were identified as candidate biomarkers for treatment with afatinib and cetuximab. Functional analysis confirmed that HBEGF is a resistance factor for cetuximab. CONCLUSION: By confirming HAS2, SHB and HBEGF as biomarkers for anti-HER therapies, we provide evidence that the regulation of gene expression after treatment can be used for biomarker discovery. Trial registration. Clinical specimens of the VARIANZ study (NCT02305043) were used to test biomarker candidates. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09335-4.
format Online
Article
Text
id pubmed-8908634
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89086342022-03-18 Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF Ebert, Karolin Haffner, Ivonne Zwingenberger, Gwen Keller, Simone Raimúndez, Elba Geffers, Robert Wirtz, Ralph Barbaria, Elena Hollerieth, Vanessa Arnold, Rouven Walch, Axel Hasenauer, Jan Maier, Dieter Lordick, Florian Luber, Birgit BMC Cancer Research BACKGROUND: The standard treatment for patients with advanced HER2-positive gastric cancer is a combination of the antibody trastuzumab and platin-fluoropyrimidine chemotherapy. As some patients do not respond to trastuzumab therapy or develop resistance during treatment, the search for alternative treatment options and biomarkers to predict therapy response is the focus of research. We compared the efficacy of trastuzumab and other HER-targeting drugs such as cetuximab and afatinib. We also hypothesized that treatment-dependent regulation of a gene indicates its importance in response and that it can therefore be used as a biomarker for patient stratification. METHODS: A selection of gastric cancer cell lines (Hs746T, MKN1, MKN7 and NCI-N87) was treated with EGF, cetuximab, trastuzumab or afatinib for a period of 4 or 24 h. The effects of treatment on gene expression were measured by RNA sequencing and the resulting biomarker candidates were tested in an available cohort of gastric cancer patients from the VARIANZ trial or functionally analyzed in vitro. RESULTS: After treatment of the cell lines with afatinib, the highest number of regulated genes was observed, followed by cetuximab and trastuzumab. Although trastuzumab showed only relatively small effects on gene expression, BMF, HAS2 and SHB could be identified as candidate biomarkers for response to trastuzumab. Subsequent studies confirmed HAS2 and SHB as potential predictive markers for response to trastuzumab therapy in clinical samples from the VARIANZ trial. AREG, EREG and HBEGF were identified as candidate biomarkers for treatment with afatinib and cetuximab. Functional analysis confirmed that HBEGF is a resistance factor for cetuximab. CONCLUSION: By confirming HAS2, SHB and HBEGF as biomarkers for anti-HER therapies, we provide evidence that the regulation of gene expression after treatment can be used for biomarker discovery. Trial registration. Clinical specimens of the VARIANZ study (NCT02305043) were used to test biomarker candidates. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09335-4. BioMed Central 2022-03-09 /pmc/articles/PMC8908634/ /pubmed/35264144 http://dx.doi.org/10.1186/s12885-022-09335-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ebert, Karolin
Haffner, Ivonne
Zwingenberger, Gwen
Keller, Simone
Raimúndez, Elba
Geffers, Robert
Wirtz, Ralph
Barbaria, Elena
Hollerieth, Vanessa
Arnold, Rouven
Walch, Axel
Hasenauer, Jan
Maier, Dieter
Lordick, Florian
Luber, Birgit
Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title_full Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title_fullStr Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title_full_unstemmed Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title_short Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF
title_sort combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-her therapies—the role of has2, shb and hbegf
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908634/
https://www.ncbi.nlm.nih.gov/pubmed/35264144
http://dx.doi.org/10.1186/s12885-022-09335-4
work_keys_str_mv AT ebertkarolin combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT haffnerivonne combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT zwingenbergergwen combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT kellersimone combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT raimundezelba combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT geffersrobert combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT wirtzralph combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT barbariaelena combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT holleriethvanessa combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT arnoldrouven combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT walchaxel combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT hasenauerjan combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT maierdieter combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT lordickflorian combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf
AT luberbirgit combininggeneexpressionanalysisofgastriccancercelllinesandtumorspecimenstoidentifybiomarkersforantihertherapiestheroleofhas2shbandhbegf