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Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response

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submitted on 2024-07-15, 08:17 and posted on 2024-07-15, 08:20 authored by Jessica Roelands, Wouter Hendrickx, Gabriele Zoppoli, Raghvendra Mall, Mohamad Saad, Kyle Halliwill, Giuseppe Curigliano, Darawan Rinchai, Julie Decock, Lucia G Delogu, Tolga Turan, Josue Samayoa, Lotfi Chouchane, Alberto Ballestrero, Ena Wang, Pascal Finetti, Francois Bertucci, Lance D Miller, Jerome Galon, Francesco M Marincola, Peter J K Kuppen, Michele Ceccarelli, Davide Bedognetti

Background

An immune active cancer phenotype typified by a T helper 1 (Th-1) immune response has been associated with increased responsiveness to immunotherapy and favorable prognosis in some but not all cancer types. The reason of this differential prognostic connotation remains unknown.

Methods

To explore the contextual prognostic value of cancer immune phenotypes, we applied a multimodal pan-cancer analysis among 31 different histologies (9282 patients), encompassing immune and oncogenic transcriptomic analysis, mutational and neoantigen load and copy number variations.

Results

We demonstrated that the favorable prognostic connotation conferred by the presence of a Th-1 immune response was abolished in tumors displaying specific tumor-cell intrinsic attributes such as high transforming growth factor-beta (TGF-β) signaling and low proliferation capacity. This observation was independent of mutation rate. We validated this observation in the context of immune checkpoint inhibition. WNT-βcatenin, barrier molecules, Notch, hedgehog, mismatch repair, telomerase activity and AMPK signaling were the pathways most coherently associated with an immune silent phenotype together with mutations of driver genes includingIDH1/2, FOXA2, HDAC3, PSIP1, MAP3K1, KRAS, NRAS, EGFR, FGFR3, WNT5AandIRF7.

Conclusions

This is the first systematic study demonstrating that the prognostic and predictive role of a bona fide favorable intratumoral immune response is dependent on the disposition of specific oncogenic pathways. This information could be used to refine stratification algorithms and prioritize hierarchically relevant targets for combination therapies.

Other Information

Published in: Journal for ImmunoTherapy of Cancer
License: http://creativecommons.org/licenses/by-nc/4.0/
See article on publisher's website: https://dx.doi.org/10.1136/jitc-2020-000617

Funding

Qatar National Research Fund (JSREP07-010-3-005), Clonality and genomic immune signatures of infiltrating T-cells in Colorectal Carcinoma.

Qatar National Research Fund (NPRP10-0126-170262), Identification of molecular determinants of breast cancer immune responsiveness by integrative genome-scale analysis.

AIRC IG (2018-ID 21846).

History

Language

  • English

Publisher

BMJ

Publication Year

  • 2020

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Health and Life Sciences - HBKU
  • Qatar Biomedical Research Institute - HBKU
  • Qatar Computing Research Institute - HBKU
  • Cancer Research Center - QBRI
  • Sidra Medicine
  • Clinical Research Centre - Sidra Medicine
  • Weill Cornell Medicine - Qatar

Methodology

To explore the contextual prognostic value of cancer immune phenotypes, we applied a multimodal pan-cancer analysis among 31 different histologies (9282 patients), encompassing immune and oncogenic transcriptomic analysis, mutational and neoantigen load and copy number variations.

Related Datasets

Roelands et al. (2020). Oncogenic States Dictate the Prognostic and Predictive Connotations of Intratumoral Immune Response. Last modified 2019. GitHub Repository. https://github.com/Sidra-TBI-FCO/ISPC. Roelands, Jessica; Hendrickx, Wouter; Zoppoli, Gabriele; Mall, Raghvendra; Saad, Mohamad; Halliwill, Kyle; et al. (2019). Cancer Datasheets. figshare. Dataset. https://doi.org/10.6084/m9.figshare.7937246.v6

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