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  3. Molecular markers of response to anti-PD1 therapy in advanced hepatocellular carcinoma.
 

Molecular markers of response to anti-PD1 therapy in advanced hepatocellular carcinoma.

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BORIS DOI
10.48350/173046
Date of Publication
January 2023
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Department for BioMed...

Contributor
Haber, Philipp K
Castet, Florian
Torres-Martin, Miguel
Andreu-Oller, Carmen
Puigvehí, Marc
Maeda, Miho
Radu, Iuliana-Pompilia
Universitätsklinik für Viszerale Chirurgie und Medizin, Hepatologie
Dufour, Jean-François
Department for BioMedical Research, Hepatologie Forschung
Universitätsklinik für Viszerale Chirurgie und Medizin, Hepatologie
Verslype, Chris
Czauderna, Carolin
Marquardt, Jens U
Galle, Peter R
Vogel, Arndt
Bathon, Melanie
Meyer, Tim
Labgaa, Ismail
Digklia, Antonia
Roberts, Lewis R
Mohamed Ali, Mohamed A
Mínguez, Beatriz
Citterio, Davide
Mazzaferro, Vincenzo
Finkelmeier, Fabian
Trojan, Jörg
Özdirik, Burcin
Müller, Tobias
Schmelzle, Moritz
Bejjani, Anthony
Sung, Max W
Schwartz, Myron E
Finn, Richard S
Thung, Swan
Villanueva, Augusto
Sia, Daniela
Llovet, Josep M
Subject(s)

600 - Technology::610...

Series
Gastroenterology
ISSN or ISBN (if monograph)
1528-0012
Publisher
Elsevier
Language
English
Publisher DOI
10.1053/j.gastro.2022.09.005
PubMed ID
36108710
Uncontrolled Keywords

Hepatocellular carcin...

Description
BACKGROUND AND AIMS

Single agent anti-PD1 checkpoint inhibitors convey outstanding clinical benefits in a small fraction (∼20%) of patients with advanced hepatocellular carcinoma (aHCC) but the molecular mechanisms determining response are unknown. To fill this gap, we herein analyze the molecular and immune traits of aHCC in patients treated with anti-PD1.

METHODS

Overall, 111 tumor samples from patients with aHCC were obtained from 13 centers prior to systemic therapies. We performed molecular analysis and immune deconvolution using whole genome expression data (n=83), mutational analysis (n=72) and histological evaluation with an endpoint of objective response.

RESULTS

Among 83 patients with transcriptomic data, 28 were treated in frontline whereas 55 patients were treated after tyrosine-kinase inhibitors (TKI) either in 2nd or 3rd line. Responders treated in frontline showed upregulated Interferon-γ-signaling and MHCII-related antigen presentation. We generated an 11-gene signature (IFNAP), capturing these molecular features, which predicts response and survival in patients treated with anti-PD1 in frontline. The signature was validated in a separate cohort of aHCC and >240 patients with other solid cancer types where it also predicted response and survival. Of note, the same signature was unable to predict response in archival tissue of patients treated with frontline TKIs, highlighting the need for fresh biopsies prior to immunotherapy.

CONCLUSION

IFN-signaling and MHCII-related genes are key molecular features of HCCs responding to anti-PD1. A novel 11-gene signature predicts response in frontline aHCC - but not in patients pre-treated with TKIs. These results have to be confirmed in prospective studies and highlight the need for biopsies prior immunotherapy to identify biomarkers of response.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/87551
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1-s2.0-S0016508522010393-main.pdftextAdobe PDF10.32 MBacceptedOpen
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