EBioMedicine (Feb 2023)

An immune score reflecting pro- and anti-tumoural balance of tumour microenvironment has major prognostic impact and predicts immunotherapy response in solid cancersResearch in context

  • Artur Mezheyeuski,
  • Max Backman,
  • Johanna Mattsson,
  • Alfonso Martín-Bernabé,
  • Chatarina Larsson,
  • Ina Hrynchyk,
  • Klara Hammarström,
  • Simon Ström,
  • Joakim Ekström,
  • Siarhei Mauchanski,
  • Salome Khelashvili,
  • Amanda Lindberg,
  • Margrét Agnarsdóttir,
  • Per-Henrik Edqvist,
  • Jutta Huvila,
  • Ulrika Segersten,
  • Per-Uno Malmström,
  • Johan Botling,
  • Björn Nodin,
  • Charlotta Hedner,
  • David Borg,
  • Jenny Brändstedt,
  • Hanna Sartor,
  • Karin Leandersson,
  • Bengt Glimelius,
  • Anna Portyanko,
  • Fredrik Ponten,
  • Karin Jirström,
  • Patrick Micke,
  • Tobias Sjöblom

Journal volume & issue
Vol. 88
p. 104452

Abstract

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Summary: Background: Cancer immunity is based on the interaction of a multitude of cells in the spatial context of the tumour tissue. Clinically relevant immune signatures are therefore anticipated to fundamentally improve the accuracy in predicting disease progression. Methods: Through a multiplex in situ analysis we evaluated 15 immune cell classes in 1481 tumour samples. Single-cell and bulk RNAseq data sets were used for functional analysis and validation of prognostic and predictive associations. Findings: By combining the prognostic information of anti-tumoural CD8+ lymphocytes and tumour supportive CD68+CD163+ macrophages in colorectal cancer we generated a signature of immune activation (SIA). The prognostic impact of SIA was independent of conventional parameters and comparable with the state-of-art immune score. The SIA was also associated with patient survival in oesophageal adenocarcinoma, bladder cancer, lung adenocarcinoma and melanoma, but not in endometrial, ovarian and squamous cell lung carcinoma. We identified CD68+CD163+ macrophages as the major producers of complement C1q, which could serve as a surrogate marker of this macrophage subset. Consequently, the RNA-based version of SIA (ratio of CD8A to C1QA) was predictive for survival in independent RNAseq data sets from these six cancer types. Finally, the CD8A/C1QA mRNA ratio was also predictive for the response to checkpoint inhibitor therapy. Interpretation: Our findings extend current concepts to procure prognostic information from the tumour immune microenvironment and provide an immune activation signature with high clinical potential in common human cancer types. Funding: Swedish Cancer Society, Lions Cancer Foundation, Selanders Foundation, P.O. Zetterling Foundation, U-CAN supported by SRA CancerUU, Uppsala University and Region Uppsala.

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