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Digital Gene Expression Analysis of Epithelioid and Sarcomatoid Mesothelioma Reveals Differences in Immunogenicity.

  • Luka Brcic (Erstautor*in)
  • , A Mathilakathu
  • , RFH Walter
  • , M Wessolly
  • , E Mairinger
  • , H Beckert
  • , D Kreidt
  • , J Steinborn
  • , T Hager
  • , DC Christoph
  • , J Kollmeier
  • , T Mairinger
  • , J Wohlschlaeger
  • , KW Schmid
  • , S Borchert
  • , FD Mairinger

Publikation: Beitrag in FachzeitschriftOriginalarbeit

8 Quellenangaben (Web of Science)

Abstract

Malignant pleural mesothelioma (MPM) is an aggressive malignancy associated with asbestos exposure. Median survival ranges from 14 to 20 months after initial diagnosis. As of November 2020, the FDA approved a combination of immune checkpoint inhibitors after promising intermediate results. Nonetheless, responses remain unsatisfying. Adequate patient stratification to improve response rates is still lacking. This retrospective study analyzed formalin fixed paraffin embedded specimens from a cohort of 22 MPM. Twelve of those samples showed sarcomatoid, ten epithelioid differentiation. Complete follow-up, including radiological assessment of response by modRECIST and time to death, was available with reported deaths of all patients. RNA of all samples was isolated and subjected to digital gene expression pattern analysis. Our study revealed a notable difference between epithelioid and sarcomatoid mesothelioma, showing differential gene expression for 304/698 expressed genes. Whereas antigen processing and presentation to resident cytotoxic T cells as well as phagocytosis is highly affected in sarcomatoid mesothelioma, cell-cell interaction via cytokines seems to be of greater importance in epithelioid cases. Our work reveals the specific role of the immune system within the different histologic subtypes of MPM, providing a more detailed background of their immunogenic potential. This is of great interest regarding therapeutic strategies including immunotherapy in mesothelioma.

OriginalspracheEnglisch
Aufsatznummer1761
Seitenumfang16
FachzeitschriftCancers
Jahrgang13
Ausgabenummer8
DOIs
PublikationsstatusVeröffentlicht - 7 Apr. 2021

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen

Wissenschaftszweige

  • 301 Medizinisch-theoretische Wissenschaften, Pharmazie
  • 302 Klinische Medizin

Forschungsfelder

  • Krebsforschung

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