Literature DB >> 35141052

Immune sunrise: from the immunome to the cancer immune landscape.

Gabriela Bindea1,2,3, Bernhard Mlecnik1,2,3,4, Jérôme Galon1,2,3.   

Abstract

The complex dynamics of the tumor-immune interaction during tumor progression have been characterized by integrating genomic and proteomic experiments. The Immunome, a reference compendium of markers for the majority of immune cell subpopulations was used to describe the immune landscape in cancer. The immune contexture is at the cornerstone in the success of cancer immunotherapies. Markers with the highest clinical relevance were summarized as the consensus immunoscore. This immune evaluation refines the prognosis of the patients and the chemotherapy decision-making process and was introduced as essential and desirable diagnostic criteria into three major international guidelines.
© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.

Entities:  

Keywords:  T-cells; chemotherapy; colorectal cancer; immune landscape; immunity; immunoscore; immunotherapy; prognosis; survival; tumor microenvironment

Mesh:

Year:  2022        PMID: 35141052      PMCID: PMC8820808          DOI: 10.1080/2162402X.2021.2019896

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


The last two decades have been marked by a major evolution in the understanding of how tumors develop and evolve. Cancer has been for a long time considered to be a multistep disease in which the malignant transformation of normal cells occurs progressively through dynamic alterations of the genome. Collaborative efforts have enhanced the knowledge of cancer mechanistics by highlighting the role of the local immune infiltrate in shaping tumors. First investigations have demonstrated that particular immune subpopulations infiltrating tumors, like cytotoxic T cells and memory T cells, were significantly associated with the survival of the patients.[1] The intra-tumoral immune contexture (i.e., type, functional orientation, density and location of immune cells) of solid tumors, defining the cancer immune contexture, could be a dominant determinant of clinical outcome.[2] An ample effort for the characterization of the complex dynamics of the tumor-immune interaction during tumor progression has followed. We have investigated in depth the microenvironment of large cohorts of colorectal cancer patients in the attempt of having the most complete view of the intratumoral players. For this, we have integrated and analyzed multiple, heterogeneous datasets obtained from genomic and proteomic experiments performed in our laboratory, as well as shared through data repositories.

From the immunome to the immune landscape

A very important first step was to define a standardized way of analyzing the immune infiltrate that provides a systematic view of all immune subtypes, it is reproducible and easy applicable to other tumor types or other diseases. Immune cells can be identified within tissues by specific genes preferentially expressed in certain experimental conditions. Although such specific immune markers were known already, a complete analysis and comparison of the transcriptome of most frequent immune cells was not yet done. We thus collected publicly available datasets derived from purified adaptive and innate immune cell subsets and integrated them into a data matrix. To improve the biomarker selection, we compared the transcriptome of immune subpopulations also with samples derived from normal distant colon, and colorectal cancer cells. Highly distinctive transcriptional profiles of all cell types were selected as well as markers for functionally relevant groups of immune subpopulations or meta cell types like “T cells” (all T cell subtypes), T helper cells (all T helper subtypes), and Cytotoxic cells (CD8 T cells, gamma-delta T-cells (Tgd) and NK cells). This compendium profiling the majority of immune cell types constituted the Immunome, a standard reference that can be used to identify immune cells in complex tissues, healthy or diseased.[3] We have used Immunome compendium to characterize the immune reaction in colorectal tumor microenvironments, and proposed the first immune landscape of tumors (Figure 1).[3] The heterogeneity observed among the Immunome of colon cancer patients could reflect their genetic diversity that influences the generation of immune responses. Another mechanism influencing the immune cell infiltration could involve the chromosomal instability of chemokines and chemokine receptor genes. Immune densities quantified within the center (CT) and at the invasive margin (IM) of the tumor and their changes with the tumor stage were then illustrated as the immune landscape. This broad analysis revealed the impact on patient survival of all immune cells infiltrating tumors.
Figure 1.

From the immunonome to the cancer immune landscape.

From the immunonome to the cancer immune landscape. The Immunome was the first comprehensive compendium of markers of immune cell subpopulations. Nowadays the Immunome and other immune selections are frequently used it to investigate the immune infiltrate of multiple types of cancer[4,5] and other diseases. Extensive pan-cancer immunogenomic analysis of The Cancer Genome Atlas (TCGA) data included the Immunome and revealed six stable, reproducible immune subtypes associated with prognosis, genetic, and immune modulatory alterations that may shape the immune environments.[5] Recent data provided evidence for the impact of germline genetics on the composition and functional orientation of the tumor immune microenvironment, and to the immune landscape of cancer.[6] Tumor immune environment plays an important role in prognosis as well as response to therapy, thus the definition of the immune subtype of a tumor is essential in predicting disease outcome as opposed to relying solely on cancer-related features.[5] To facilitate such analyses, Immunome and other gene sets and tools were benchmarked into the ConsensusTME method.[4]

The consensus immunoscore

Moreover, markers of T cells and cytotoxic T cells, immune cells with the highest clinical relevance, can be now quantified in the CT and IM and summarized as a novel scoring system, the consensus Immunoscore. This is the first worldwide recognized and standardized consensus assay to quantify the preexisting immunity, internationally validated with the help of the Society for Immunotherapy of Cancer (SITC). Patients with a high Immunoscore had the lowest risk of recurrence at 5 years compared to those with an intermediate or low Immunoscore.[2,7] The consensus Immunoscore was investigated in relation with known tumor-related parameters in clinical relevant groups of patients and it was proven to be a powerful predictor of the prognosis of the patients.[2,7] The clinical utility of Immunoscore has been further reinforced by the recent publications demonstrating the prognosis value of Immunoscore in Stage III CC patients, and its predictive value in response to chemotherapy.[8,9] Immunoscore outperforms the classical Tumor-Node-Metastasis (TNM) system in predicting the clinical outcome in early and advanced stage patients with CC.[7,10,11] The major role of the immune microenvironment in cancer development and survival of the patients was demonstrated from pre-cancer lesions[12] to late metachronous metastases.[13] These efforts advance the knowledge of the intertwined evolution of tumors with the microenvironment[11] and demonstrated the impact of a strong immunity on the tumoral process.[1] Hallmarks of successful anticancer immunotherapy have been proposed.[14,15] The immune contexture, including the type, density, localization, and functional orientation of the immune infiltrate has a prominent impact on anticancer immunity.[11,14,16] Furthermore, clinical evidence showed that NK cells may also be a key immune constituent in the protective anti-tumor immune response.[17] In addition to immunosuppressive effects, conventional chemotherapeutics have immunostimulatory effects, which can be beneficial in the context of immunotherapy.[18-20] The effectiveness of chemotherapy was also shown to be dependent upon the preexisting intratumoral T-cells, and Immunoscore.[8,9,21] Genomic alteration of malignant cells, favoring the emergence of immunogenic tumor neoantigens, has been associated with differential T-cell responses and to sensitivity to immunotherapy.[18,20,22] Tumor immunogenicity and immune cells involved in anti-tumor responses may also be affected by epigenomic alterations.[23] In addition, DNA damage response (DDR) deficiency has also emerged as an important determinant of tumor immunogenicity.[24] Indeed, DDR-targeted therapies can increase the antitumor immune response by promoting antigenicity, enhancing adjuvanticity and favoring reactogenicity by modulation of the tumor-immune cell synapse. Most importantly, the effectiveness of immunomodulatory strategies depends on the presence and on the unleashing of preexisting immunity,[25] thus it is becoming critical to understand the mechanisms responsible for hot, altered, or cold immune tumors in order to boost a weak anti-tumor immunity.[15]

Conclusion and Implications

The immune component of the tumor microenvironment is now widely recognized as a hallmark of cancer. The immune response measured with the consensus Immunoscore was introduced as essential and desirable diagnostic criteria for colorectal cancer, in the latest (5th) edition of the World Health Organization (WHO) Digestive System Tumors classification. In addition, Immunoscore was introduced into in the 2020 European and 2021 Pan-Asian European Organization for Medical Oncology (ESMO) Clinical Practice Guidelines for gastrointestinal cancer[21,26] to refine the prognosis and thus adjust the chemotherapy decision-making process.
  26 in total

1.  Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  G Argilés; J Tabernero; R Labianca; D Hochhauser; R Salazar; T Iveson; P Laurent-Puig; P Quirke; T Yoshino; J Taieb; E Martinelli; D Arnold
Journal:  Ann Oncol       Date:  2020-07-20       Impact factor: 32.976

Review 2.  Immunostimulation with chemotherapy in the era of immune checkpoint inhibitors.

Authors:  Lorenzo Galluzzi; Juliette Humeau; Aitziber Buqué; Laurence Zitvogel; Guido Kroemer
Journal:  Nat Rev Clin Oncol       Date:  2020-08-05       Impact factor: 66.675

Review 3.  The cancer-natural killer cell immunity cycle.

Authors:  Nicholas D Huntington; Joseph Cursons; Jai Rautela
Journal:  Nat Rev Cancer       Date:  2020-06-24       Impact factor: 60.716

4.  Type, density, and location of immune cells within human colorectal tumors predict clinical outcome.

Authors:  Jérôme Galon; Anne Costes; Fatima Sanchez-Cabo; Amos Kirilovsky; Bernhard Mlecnik; Christine Lagorce-Pagès; Marie Tosolini; Matthieu Camus; Anne Berger; Philippe Wind; Franck Zinzindohoué; Patrick Bruneval; Paul-Henri Cugnenc; Zlatko Trajanoski; Wolf-Herman Fridman; Franck Pagès
Journal:  Science       Date:  2006-09-29       Impact factor: 47.728

Review 5.  The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy.

Authors:  Daniela Bruni; Helen K Angell; Jérôme Galon
Journal:  Nat Rev Cancer       Date:  2020-08-04       Impact factor: 60.716

6.  Multicenter International Society for Immunotherapy of Cancer Study of the Consensus Immunoscore for the Prediction of Survival and Response to Chemotherapy in Stage III Colon Cancer.

Authors:  Bernhard Mlecnik; Carlo Bifulco; Gabriela Bindea; Florence Marliot; Alessandro Lugli; J Jack Lee; Inti Zlobec; Tilman T Rau; Martin D Berger; Iris D Nagtegaal; Elisa Vink-Börger; Arndt Hartmann; Carol Geppert; Julie Kolwelter; Susanne Merkel; Robert Grützmann; Marc Van den Eynde; Anne Jouret-Mourin; Alex Kartheuser; Daniel Léonard; Christophe Remue; Julia Y Wang; Prashant Bavi; Michael H A Roehrl; Pamela S Ohashi; Linh T Nguyen; SeongJun Han; Heather L MacGregor; Sara Hafezi-Bakhtiari; Bradly G Wouters; Giuseppe V Masucci; Emilia K Andersson; Eva Zavadova; Michal Vocka; Jan Spacek; Lubos Petruzelka; Bohuslav Konopasek; Pavel Dundr; Helena Skalova; Kristyna Nemejcova; Gerardo Botti; Fabiana Tatangelo; Paolo Delrio; Gennaro Ciliberto; Michele Maio; Luigi Laghi; Fabio Grizzi; Tessa Fredriksen; Bénédicte Buttard; Lucie Lafontaine; Daniela Bruni; Anastasia Lanzi; Carine El Sissy; Nacilla Haicheur; Amos Kirilovsky; Anne Berger; Christine Lagorce; Christopher Paustian; Carmen Ballesteros-Merino; Jeroen Dijkstra; Carlijn van de Water; Shannon van Lent-van Vliet; Nikki Knijn; Ana-Maria Muşină; Dragos-Viorel Scripcariu; Boryana Popivanova; Mingli Xu; Tomonobu Fujita; Shoichi Hazama; Nobuaki Suzuki; Hiroaki Nagano; Kiyotaka Okuno; Toshihiko Torigoe; Noriyuki Sato; Tomohisa Furuhata; Ichiro Takemasa; Kyogo Itoh; Prabhu S Patel; Hemangini H Vora; Birva Shah; Jayendrakumar B Patel; Kruti N Rajvik; Shashank J Pandya; Shilin N Shukla; Yili Wang; Guanjun Zhang; Yutaka Kawakami; Francesco M Marincola; Paolo A Ascierto; Bernard A Fox; Franck Pagès; Jérôme Galon
Journal:  J Clin Oncol       Date:  2020-09-08       Impact factor: 44.544

Review 7.  Tumor Immunology and Tumor Evolution: Intertwined Histories.

Authors:  Jérôme Galon; Daniela Bruni
Journal:  Immunity       Date:  2020-01-14       Impact factor: 31.745

8.  The Immune Landscape of Cancer.

Authors:  Vésteinn Thorsson; David L Gibbs; Scott D Brown; Denise Wolf; Dante S Bortone; Tai-Hsien Ou Yang; Eduard Porta-Pardo; Galen F Gao; Christopher L Plaisier; James A Eddy; Elad Ziv; Aedin C Culhane; Evan O Paull; I K Ashok Sivakumar; Andrew J Gentles; Raunaq Malhotra; Farshad Farshidfar; Antonio Colaprico; Joel S Parker; Lisle E Mose; Nam Sy Vo; Jianfang Liu; Yuexin Liu; Janet Rader; Varsha Dhankani; Sheila M Reynolds; Reanne Bowlby; Andrea Califano; Andrew D Cherniack; Dimitris Anastassiou; Davide Bedognetti; Younes Mokrab; Aaron M Newman; Arvind Rao; Ken Chen; Alexander Krasnitz; Hai Hu; Tathiane M Malta; Houtan Noushmehr; Chandra Sekhar Pedamallu; Susan Bullman; Akinyemi I Ojesina; Andrew Lamb; Wanding Zhou; Hui Shen; Toni K Choueiri; John N Weinstein; Justin Guinney; Joel Saltz; Robert A Holt; Charles S Rabkin; Alexander J Lazar; Jonathan S Serody; Elizabeth G Demicco; Mary L Disis; Benjamin G Vincent; Ilya Shmulevich
Journal:  Immunity       Date:  2018-04-05       Impact factor: 43.474

Review 9.  Systemic immunity in cancer.

Authors:  Kamir J Hiam-Galvez; Breanna M Allen; Matthew H Spitzer
Journal:  Nat Rev Cancer       Date:  2021-04-09       Impact factor: 60.716

10.  Trial watch: Monoclonal antibodies in cancer therapy.

Authors:  Erika Vacchelli; Alexander Eggermont; Jérôme Galon; Catherine Sautès-Fridman; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2013-01-01       Impact factor: 8.110

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