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Failed immune responses across multiple pathologies share pan-tumor and circulating lymphocytic targets
Anne Monette, … , Igor Jurisica, Réjean Lapointe
Anne Monette, … , Igor Jurisica, Réjean Lapointe
Published March 26, 2019
Citation Information: J Clin Invest. 2019;129(6):2463-2479. https://doi.org/10.1172/JCI125301.
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Research Article Immunology Oncology

Failed immune responses across multiple pathologies share pan-tumor and circulating lymphocytic targets

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Abstract

Tumor-infiltrating lymphocytes (TILs) are widely associated with positive outcomes, yet carry key indicators of a systemic failed immune response against unresolved cancer. Cancer immunotherapies can reverse their tolerance phenotypes while preserving tumor reactivity and neoantigen specificity shared with circulating immune cells. We performed comprehensive transcriptomic analyses to identify gene signatures common to circulating and TILs in the context of clear cell renal cell carcinoma. Modulated genes also associated with disease outcome were validated in other cancer types. Through comprehensive bioinformatics analyses, we identified practical diagnostic markers and actionable targets of the failed immune response. On circulating lymphocytes, 3 genes (LEF1, FASLG, and MMP9) could efficiently stratify patients from healthy control donors. From their associations with resistance to cancer immunotherapies and microbial infections, we uncovered not only pan-cancer, but pan-pathology, failed immune response profiles. A prominent lymphocytic matrix metallopeptidase cell migration pathway is central to a panoply of diseases and tumor immunogenicity, correlates with multi-cancer recurrence, and identifies a feasible noninvasive approach to pan-pathology diagnoses. The differentially expressed genes we have identified warrant future investigation into the development of their potential in noninvasive precision diagnostics and precision pan-disease immunotherapeutics.

Authors

Anne Monette, Antigoni Morou, Nadia A. Al-Banna, Louise Rousseau, Jean-Baptiste Lattouf, Sara Rahmati, Tomas Tokar, Jean-Pierre Routy, Jean-François Cailhier, Daniel E. Kaufmann, Igor Jurisica, Réjean Lapointe

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Figure 4

Pan-cancer DEGs have extensive coexpression dynamics.

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Pan-cancer DEGs have extensive coexpression dynamics.
Correlograms of th...
Correlograms of the top 200 selected prognostic pan-cancer DEGs demonstrate extensive coexpression dynamics in CD8+ ccRCC isolates (Spearman method, expression ladder on right) (n = 20). Predominant pathways of the 4 most highly correlating pan-cancer gene groups included GO biological processes — cellular responses to stimulus, receptor signaling, and regulation of metabolic processes and Kegg pathways — adherens junctions and colorectal, endometrial, blood and pancreatic cancers for the top right correlating ptPBL gene group. The bottom left ptPBL gene groups had extracellular matrix disassembly. For TILs, the bottom left gene group was stronger for GO biological processes such as receptor signaling, developmental processes, cell communication, and signal transduction, while the top right TIL gene group was dominated by cell cycle regulation processes (P = 4.98 × 10–05) and also regulation of T cell activation and cytokine production.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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