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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.
Afiliação
  • Ebert K; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Haffner I; University Cancer Center Leipzig (UCCL), University Leipzig Medical Center, 04103, Leipzig, Germany.
  • Zwingenberger G; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Keller S; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Raimúndez E; Faculty of Mathematics and Natural Sciences, University of Bonn, 53113, Bonn, Germany.
  • Geffers R; Center for Mathematics, Technische Universität München, 85748, Garching, Germany.
  • Wirtz R; Helmholtz Zentrum für Infektionsforschung, 38124, Braunschweig, Germany.
  • Barbaria E; STRATIFYER Molecular Pathology GmbH, 50935, Köln, Germany.
  • Hollerieth V; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Arnold R; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Walch A; Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
  • Hasenauer J; Helmholtz Zentrum München-German Research Center for Environmental Health, Research Unit Analytical Pathology, 85764, Neuherberg, Germany.
  • Maier D; Faculty of Mathematics and Natural Sciences, University of Bonn, 53113, Bonn, Germany.
  • Lordick F; Center for Mathematics, Technische Universität München, 85748, Garching, Germany.
  • Luber B; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, 85764, Neuherberg, Germany.
BMC Cancer ; 22(1): 254, 2022 Mar 09.
Article em En | MEDLINE | ID: mdl-35264144
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Proteínas Proto-Oncogênicas / Proteínas Adaptadoras de Transdução de Sinal / Fator de Crescimento Semelhante a EGF de Ligação à Heparina / Hialuronan Sintases Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Proteínas Proto-Oncogênicas / Proteínas Adaptadoras de Transdução de Sinal / Fator de Crescimento Semelhante a EGF de Ligação à Heparina / Hialuronan Sintases Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha