Evidence map›Paper›PMID 35264144›Full record

ArticleBMC cancer2022

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.

Karolin Ebert, Ivonne Haffner, Gwen Zwingenberger, Simone Keller, Elba Raimúndez, Robert Geffers, Ralph Wirtz, Elena Barbaria, Vanessa Hollerieth, Rouven Arnold and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02305043 (Identification of Biomarkers for Prediction of Response or Resistance Against Target Therapy in Adenocarcinoma of the Stomach or Gastroesophageal Junction. A Non-interventional Study), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02305043 completednot on this map

Identification of Biomarkers for Prediction of Response or Resistance Against Target Therapy in Adenocarcinoma of the Stomach or Gastroesophageal Junction. A Non-interventional Study

Typeobservational_patient_registrySponsorUniversity of LeipzigRan2014 to 2018Enrolled549ConditionsEsophageal Neoplasms, Stomach NeoplasmsArmsnon-interventional
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Karolin EbertTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Ivonne HaffnerUniversity Cancer Center Leipzig (UCCL), University Leipzig Medical Center, 04103, Leipzig, Germany.
Gwen ZwingenbergerTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Simone KellerTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Elba RaimúndezFaculty of Mathematics and Natural Sciences, University of Bonn, 53113, Bonn, Germany.
Robert GeffersHelmholtz Zentrum für Infektionsforschung, 38124, Braunschweig, Germany.
Ralph WirtzSTRATIFYER Molecular Pathology GmbH, 50935, Köln, Germany.
Elena BarbariaTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Vanessa HolleriethTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Rouven ArnoldTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany.
Axel WalchHelmholtz Zentrum München-German Research Center for Environmental Health, Research Unit Analytical Pathology, 85764, Neuherberg, Germany.
Jan HasenauerFaculty of Mathematics and Natural Sciences, University of Bonn, 53113, Bonn, Germany.
Dieter MaierBiomax Informatics AG, 82152, Planegg, Germany.
Florian LordickUniversity Cancer Center Leipzig (UCCL), University Leipzig Medical Center, 04103, Leipzig, Germany.
Birgit LuberTechnische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, 81675, München, Germany. birgit.luber@tum.de.
Klinikum rechts der Isar · DETechnical University of Munich · DEHelmholtz Zentrum München · DEBiomax Informatics (Germany) · DEHelmholtz Centre for Infection Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsAfter 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.

conclusionBy 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 registrationClinical specimens of the VARIANZ study (NCT02305043) were used to test biomarker candidates.

Indexed as

Adaptor Proteins, Signal TransducingAfatinibBiomarkers, TumorCell Line, TumorCetuximabDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesGene ExpressionHeparin-binding EGF-like Growth FactorHumansHyaluronan SynthasesProto-Oncogene ProteinsStomach NeoplasmsTrastuzumabAdaptor Proteins, Signal TransducingAfatinibBiomarkers, TumorCetuximabErb-b2 Receptor Tyrosine KinasesHAS2 protein, humanHBEGF protein, humanHeparin-binding EGF-like Growth FactorHyaluronan SynthasesProto-Oncogene ProteinsSHB protein, humanTrastuzumabBiomarkerGastric cancerGene expressionHAS2HBEGFSHB

Identifiers

PMID35264144
PMCPMC8908634
OpenAlexW4220930711

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.