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Wang, J. ; Sun, N. ; Kunzke, T. ; Shen, J. ; Feuchtinger, A. ; Wang, Q. ; Meixner, R. ; Le Gleut, R. ; Haffner, I.* ; Luber, B.* ; Lordick, F.* ; Walch, A.K.

Metabolic heterogeneity affects trastuzumab response and survival in HER2-positive advanced gastric cancer.

Br. J. Cancer 130, 1036-1045 (2024)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
BACKGROUND: Trastuzumab is the only first-line treatment targeted against the human epidermal growth factor receptor 2 (HER2) approved for patients with HER2-positive advanced gastric cancer. The impact of metabolic heterogeneity on trastuzumab treatment efficacy remains unclear. METHODS: Spatial metabolomics via high mass resolution imaging mass spectrometry was performed in pretherapeutic biopsies of patients with HER2-positive advanced gastric cancer in a prospective multicentre observational study. The mass spectra, representing the metabolic heterogeneity within tumour areas, were grouped by K-means clustering algorithm. Simpson's diversity index was applied to compare the metabolic heterogeneity level of individual patients. RESULTS: Clustering analysis revealed metabolic heterogeneity in HER2-positive gastric cancer patients and uncovered nine tumour subpopulations. High metabolic heterogeneity was shown as a factor indicating sensitivity to trastuzumab (p = 0.008) and favourable prognosis at trend level. Two of the nine tumour subpopulations associated with favourable prognosis and trastuzumab sensitivity, and one subpopulation associated with poor prognosis and trastuzumab resistance. CONCLUSIONS: This work revealed that tumour metabolic heterogeneity associated with prognosis and trastuzumab response based on tissue metabolomics of HER2-positive gastric cancer. Tumour metabolic subpopulations may provide an association with trastuzumab therapy efficacy. CLINICAL TRIAL REGISTRATION: The patient cohort was conducted from a multicentre observational study (VARIANZ;NCT02305043).
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Imaging Mass-spectrometry; Subtypes
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 0007-0920
e-ISSN 1532-1827
Quellenangaben Band: 130, Heft: 6, Seiten: 1036-1045 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort Campus, 4 Crinan St, London, N1 9xw, England
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
CF Statistical Consulting (CF-STATCON)
POF Topic(s) 30205 - Bioengineering and Digital Health
30202 - Environmental Health
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-500390-001
A-630600-001
A-632200-001
Förderungen China Scholarship Council (CSC)
Ministry of Education and Research of the Federal Republic of Germany (BMBF)
Deutsche Forschungsgemeinschaft
Projekt DEAL
Scopus ID 85182997626
PubMed ID 38267634
Erfassungsdatum 2024-01-29