Literature DB >> 33868790

License to kill: microsatellite instability and immune contexture.

Pauline Maby1,2,3, Gabriela Bindea1,2,3, Bernhard Mlecnik1,2,3,4, Jérôme Galon1,2,3.   

Abstract

Colorectal cancers (CRCs) with microsatellite instability (MSI) are due to a defect in the DNA mismatch repair (MMR) system resulting in an accumulation of frame-shift mutations. They are characterized by a tumor microenvironment richer in cytotoxic CD8 T-cells (CTLs) and a better prognosis compared to microsatellite stable (MSS) CRCs. The mechanisms by which defective MMR system may influence tumor-infiltrating immune cells and their impact on patient survival were still unclear. Thus, we performed a comprehensive analysis of MSI colorectal tumors. We found that the numbers of frame-shift mutations potentially resulting in neo-epitopes were positively correlated to the density of tumor infiltrating CD8 T-cells but were lower than expected at random. We also evidenced that MSI patients could naturally harbor CTLs targeting frame-shift mutation-derived antigens. This favors the hypothesis of an active immunosurveillance in MSI colorectal tumors leading to the genetic evidence of an immunoediting. To evaluate the link between MSI tumor immune contexture and prognosis, we took advantage of a standardized assay that we developed to quantify tumor-infiltrating T-cells, the Immunoscore. Multivariate analyses revealed an advantage of Immunoscore over MSI in predicting recurrence and survival. Our data suggests that the prognostic value of MSI could be attributed to major underlying differences of infiltrating immune cells. Immunotherapeutic treatments, that are more efficient in patients with a preexisting anti-tumor immunity, were approved in MSI patients following successful clinical trials. We suggest that the Immunoscore could be used not only for colorectal tumor prognosis but also for predicting responses to immunotherapies.
© 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.

Entities:  

Keywords:  T-cells; colorectal cancer; immunity; immunoscore; immunotherapy; microsatellite instability; prognosis; survival; tumor microenvironment

Year:  2021        PMID: 33868790      PMCID: PMC8023238          DOI: 10.1080/2162402X.2021.1905935

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


The cancer immune contexture

The understanding of cancer and of the importance intratumor immunity has made considerable progress in the last two decades.[1] It is now clear that the immune microenvironment plays a central role regarding cancer development and patients’ survival, from pre-cancer lesions to late metachronous metastases.[1,2] It was shown, for the first time in CRC that the type, density, quality and location of immune cell within the tumor site predicted patients’ survival better than the classical TNM system.[1-6] This led to the powerful concept of cancer immune contexture[1,2] and to the development of an assay to measure the antitumor immune response, the “Immunoscore.”[3-9] It is a standardized consensus scoring-system based on densities of two lymphocyte populations (CD3, CD8) infiltrating the tumor and invasive margin with a highly significant prognostic value in CRC. The successes of several immunotherapies boosting this natural T-cell response against malignant cells have generated tremendous enthusiasm.[10] Notably, antibodies targeting checkpoints (CTLA-4, PD-1, PD-L1) have shown major clinical successes in multiple cancer types. However, many cancer patients are not responding to these therapies and to predict which patients will respond it is essential to implement protocols to monitor immune-related parameters. The PD-1/PD-L1 pathway represents an adaptive capacity of tumors to inhibit cytotoxic T-cells. There is a clear trend for tumors with a pre-inflamed environment rich in CD8 + T-cells and in PD-L1+ cells to respond better to anti-PD-1 treatment. Although a majority of CRC patients do not respond to PD-1 blockade treatments, recent trials led to the approval of immunotherapies in the subset of CRC with MSI.[10] We believe that adding immune parameters, like Immunoscore, to tumor classification could improve selection of CRC patients that will benefit from these therapies.

Microsatellite instability and immune contexture

Microsatellite instability (MSI) is due to a DNA mismatch repair (MMR) system deficiency. This MMR defect results in an accumulation of insertions and deletions of nucleotides into coding repeat sequences. This can lead to frameshift mutations that are a potential source of immunogenic neo-antigens recognized by the immune system. Strikingly, although deficient for DNA-repair genes, tumors with MSI are generally reported to have a more favorable outcome with reduced likelihood of metastases compared to microsatellite stable (MSS) tumors. MSI tumors are also reported to harbor more infiltrating lymphocytes. Thus, the mechanistic relationship between MSI and the anti-tumor immune response is of major interest. We performed an analysis of the genetic, genomic and immune landscape of CRC tumors,[11-13] in order to evaluate the hypothesis that the frame-shift mutations due to MMR system damage could generate immunogenic neo-peptides targeted by a T-cell response giving a survival advantage to MSI CRC patients over MSS CRC patients. We found that MSI tumors had increased numbers of infiltrating cytotoxic T-cells, increased in situ proliferation of T-cells and increased numbers of frame-shift mutations (that lead to potential immunogenic neo-antigens). Also, the number of frame-shift mutations was positively correlated with the density of infiltrating CD8+ cells but not FOXP3+ cells. Using suitable algorithms, we predicted which mutations, within the whole exome of each individual, would give rise to antigenic neo-peptides presented in the HLA class I context. These in silico predictions revealed that the frequency of mutations resulting in neo-epitopes was lower than expected at random. Thus, we concluded from this genetic evidence that human CRCs are prone to a negative selection of antigenic tumor variants (i.e. an immunoediting), in particular, for point mutations and frameshift mutations in MSI patients. To test the reactivity of MSI CRC patient cytotoxic T-lymphocytes (CTLs) against tumor-specific frame-shift mutation-derived neopeptides, we stimulated in vitro peripheral T-cells from healthy donors and CRC patients with artificial antigen presenting cells. Neopeptide-specific CTLs could only be obtained from MSI CRC patients harboring the corresponding frame-shift mutations in their tumor. Frame-shift mutations in ASTE1, HNF1A genes[12] and TGFRB2 gene[13] were associated with anti-frameshift mutation CTLs. These functional anti-frameshift mutation CTLs were able to kill in vitro MSI tumor cell lines. This suggested that MSI CRC patient immune cells had previously encountered these peptides in vivo and developed a specific reaction against them. Moreover, such frameshift mutation-specific CTLs were, for the first time, visualized in situ.[13] The genetic and genomic landscape in CRC patients revealed significant differences in mutation patterns, chromosomal instability and gene expression between MSI and MSS CRC tumors.[13] Whole-genome expression changes, revealed a prominent increase in expression of immune-related genes, including chemokine, cytokine, type 1 helper and cytotoxic T-cells, in MSI tumors. However, a subgroup of MSS tumors also expressed high levels of these genes, which correlated with prolonged survival. We further investigated the dependency or independency of the MSI and Immunoscore parameters with regards to the patient survival. Importantly, among MSI patients, only the ones with high Immunoscore had a prolonged survival. We demonstrated a statistical dependence between the MSI status and the immune criteria, with a superiority of the Immunoscore, as it also predicted outcome in MSS patients.[13] Thus, assessment of the immune status using Immunoscore provides an indicator of tumor recurrence beyond MSI. Our study demonstrated that strong and effective anti-tumor immunity may naturally be elicited against true tumor-specific antigens resulting from somatic mutations (Figure 1) and that Immunoscore should better define the prognosis of CRC patients, better identify patients at high-risk of tumor recurrence regardless of MSI status, and help to stratify patients who will likely benefit from immunotherapies.
Figure 1.

DNA repair defect, tumor immune contexture and prognosis

DNA repair defect, tumor immune contexture and prognosis

Conclusion and implications

The good prognosis of MSI compared to MSS CRCs could be attributed to major differences of density and quality of infiltrating immune cells. As MSI patients generally present natural high cytotoxic T-cell responses, they are prone to respond efficiently to immunotherapy approaches, as recently illustrated in clinical trials boosting T-cell responses with anti-CTLA-4, anti-PD-1 and anti-PD-L1.[10] Our data would argue, 1) that MSI patients at early stage may benefit the most from checkpoint T-cell therapies, as they have strong effector T-cell response, and present more frequently with a high Immunoscore, and 2) that among metastatic MSI patients, only the subgroup with a high Immunoscore may benefit from checkpoint T-cell therapies. Importantly, the consensus Immunoscore has now been introduced into cancer classification (WHO classification of Digestive System Tumors) and into clinical guidelines (ESMO).[1,2] We strongly believe that immunoscore could be a good tool to select patients responding to checkpoint immunotherapy, including within the MSI subgroup.[10] Furthermore, there are broad practical contributions of this study 1) for cancer vaccines in terms of new and exciting possibilities for using hot-spot neo-antigens, 2) for personalized medicine in terms of biomarker development and 3) for understanding immune escape in cancer. The possibility of using vaccines as anticancer agents and recent advances in the development of personalized neoantigen-based therapeutic cancer vaccines has been thoroughly discussed.[14-21] Our study caught immunosurveillance in the act and give important clues on how to manipulate the immune system for better therapeutic options.
  21 in total

1.  Correlation between Density of CD8+ T-cell Infiltrate in Microsatellite Unstable Colorectal Cancers and Frameshift Mutations: A Rationale for Personalized Immunotherapy.

Authors:  Pauline Maby; David Tougeron; Mohamad Hamieh; Bernhard Mlecnik; Hafid Kora; Gabriela Bindea; Helen K Angell; Tessa Fredriksen; Nicolas Elie; Emilie Fauquembergue; Aurélie Drouet; Jérôme Leprince; Jacques Benichou; Jacques Mauillon; Florence Le Pessot; Richard Sesboüé; Jean-Jacques Tuech; Jean-Christophe Sabourin; Pierre Michel; Thierry Frébourg; Jérôme Galon; Jean-Baptiste Latouche
Journal:  Cancer Res       Date:  2015-06-09       Impact factor: 12.701

2.  Integrative Analyses of Colorectal Cancer Show Immunoscore Is a Stronger Predictor of Patient Survival Than Microsatellite Instability.

Authors:  Bernhard Mlecnik; Gabriela Bindea; Helen K Angell; Pauline Maby; Mihaela Angelova; David Tougeron; Sarah E Church; Lucie Lafontaine; Maria Fischer; Tessa Fredriksen; Maristella Sasso; Amélie M Bilocq; Amos Kirilovsky; Anna C Obenauf; Mohamad Hamieh; Anne Berger; Patrick Bruneval; Jean-Jacques Tuech; Jean-Christophe Sabourin; Florence Le Pessot; Jacques Mauillon; Arash Rafii; Pierre Laurent-Puig; Michael R Speicher; Zlatko Trajanoski; Pierre Michel; Richard Sesboüe; Thierry Frebourg; Franck Pagès; Viia Valge-Archer; Jean-Baptiste Latouche; Jérôme Galon
Journal:  Immunity       Date:  2016-03-15       Impact factor: 31.745

Review 3.  Trial Watch: Immunomodulatory monoclonal antibodies for oncological indications.

Authors:  Aitziber Buqué; Norma Bloy; Fernando Aranda; Francesca Castoldi; Alexander Eggermont; Isabelle Cremer; Wolf Hervé Fridman; Jitka Fucikova; Jérôme Galon; Aurélien Marabelle; Radek Spisek; Eric Tartour; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2015-03-02       Impact factor: 8.110

Review 4.  Approaches to treat immune hot, altered and cold tumours with combination immunotherapies.

Authors:  Jérôme Galon; Daniela Bruni
Journal:  Nat Rev Drug Discov       Date:  2019-03       Impact factor: 84.694

5.  Prognostic and predictive value of the Immunoscore in stage III colon cancer patients treated with oxaliplatin in the prospective IDEA France PRODIGE-GERCOR cohort study.

Authors:  F Pagès; T André; J Taieb; D Vernerey; J Henriques; C Borg; F Marliot; R Ben Jannet; C Louvet; L Mineur; J Bennouna; J Desrame; R Faroux; A Kirilovsky; A Duval; P Laurent-Puig; M Svrcek; F Hermitte; A Catteau; J Galon; J-F Emile
Journal:  Ann Oncol       Date:  2020-04-12       Impact factor: 32.976

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

7.  Trial watch: Peptide vaccines in cancer therapy.

Authors:  Erika Vacchelli; Isabelle Martins; Alexander Eggermont; Wolf Hervé Fridman; Jerome Galon; Catherine Sautès-Fridman; Eric Tartour; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2012-12-01       Impact factor: 8.110

8.  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

Review 9.  Trial Watch: Peptide vaccines in cancer therapy.

Authors:  Fernando Aranda; Erika Vacchelli; Alexander Eggermont; Jerome Galon; Catherine Sautès-Fridman; Eric Tartour; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2013-11-04       Impact factor: 8.110

10.  Immunoscore and Immunoprofiling in cancer: an update from the melanoma and immunotherapy bridge 2015.

Authors:  J Galon; B A Fox; C B Bifulco; G Masucci; T Rau; G Botti; F M Marincola; G Ciliberto; F Pages; P A Ascierto; M Capone
Journal:  J Transl Med       Date:  2016-09-20       Impact factor: 5.531

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  2 in total

1.  Homologous recombination deficiency is inversely correlated with microsatellite instability and identifies immunologically cold tumors in most cancer types.

Authors:  Jan Budczies; Klaus Kluck; Susanne Beck; Iordanis Ourailidis; Michael Allgäuer; Michael Menzel; Daniel Kazdal; Lukas Perkhofer; Alexander Kleger; Peter Schirmacher; Thomas Seufferlein; Albrecht Stenzinger
Journal:  J Pathol Clin Res       Date:  2022-04-05

Review 2.  Know thy immune self and non-self: Proteomics informs on the expanse of self and non-self, and how and where they arise.

Authors:  Sebastian Joyce; Nicola Ternette
Journal:  Proteomics       Date:  2021-08-09       Impact factor: 3.984

  2 in total

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