Literature DB >> 32934890

The consensus Immunoscore in phase 3 clinical trial (N0147) and impact on patient management decisions.

Anastasia Lanzi1,2,3, F A Sinicrope4, A B Benson5, Jérôme Galon1,2,3.   

Abstract

The consensus Immunoscore is a routine assay quantifying the adaptive immune response within the tumor microenvironment. It has a prognostic value that has been confirmed in a phase 3 clinical trial (NCCTG N0147) in stage III colon cancers. Moreover, results from another phase 3 randomized trial revealed the predictive value of Immunoscore for response to adjuvant chemotherapy duration. These results highlight the clinical utility of Immunoscore. In its latest edition, the World Health Organization classification of Digestive System Tumors introduced for the first time the immune response as an essential and desirable diagnostic criterion for colorectal cancer. Within the tumor microenvironment, the immune response provides an important estimate of the risk of recurrence and death in colon cancer. The international validation of the prognostic value of the consensus Immunoscore together with its prognostic value in the N0147 trial and its predictive utility for response to chemotherapy in stage III patients provide valuable information for patient management.
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.

Entities:  

Keywords:  Immunoscore; cancer classification; immunity; phase 3 trial; prognosis; tumor microenvironment

Mesh:

Year:  2020        PMID: 32934890      PMCID: PMC7466859          DOI: 10.1080/2162402X.2020.1796003

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


Immune response and colon cancer classification

In patients with colorectal cancer (CRC), considerable intra-stage variability in clinical outcome is observed that is not predicted by the Tumor-Node-Metastasis (TNM) staging system.[1] The impact of the preexisting intratumoral adaptive immunity on tumor progression and invasion and on the patient’s clinical outcome has been demonstrated.[2] This led to a major paradigm shift in tumor immunology, and to the development of an immune-based scoring system named Immunoscore.[3-5] Within the tumor microenvironment, the consensus Immunoscore is analyzed using standardized immunohistochemistry and a digital pathology-based assay that quantifies the densities of two lymphocytes populations, CD3+ and CD8+ T cells, in the tumor and its invasive margin. Immunoscore is prognostic in patients with colon cancer,[2] and in an international collaboration, it was confirmed to be highly reproducible and objective.[6] Recent phase 3 clinical trial results highlight the importance of the Immunoscore to risk-stratify patients with stage III colon cancer to aid in clinical decision-making.[7,8] Clinical utility of Immunoscore. The tumor anatomy, including the tumor core, the invasive margin, and different T-cell subpopulations is illustrated. Immunoscore is a powerful prognosis marker and a predictive marker of response to chemotherapy for stage III colon cancer patients. CTL, cytotoxic T lymphocyte; TFH, T follicular-helper; TH1, T helper type 1.

Phase 3 trials and clinical utility of the consensus Immunoscore

The phase 3 trial [NCCTG-N0147 (Alliance)] consists of stage III colon cancers from an adjuvant chemotherapy trial that found no survival benefit for the addition of cetuximab to standard FOLFOX chemotherapy. Tumor samples from 611 TNM stage III colon cancers from the FOLFOX arm were evaluated for immune markers.[8] Immunoscore (CD3+, CD8+) data were available on 559 patients after quality control. Clinical and pathological characteristics of the study population and recurrence/survival data were carefully collected, and median patient follow-up was 83.4 months. Patients whose tumors showed a high vs. medium or low Immunoscore had significantly better 3-y DFS rates of (82.6% vs. 63.8% at 3 y, hazard ratio [HRadj-Hi vs Lo] = 0.54 (95%CI 0.37–0.78), P. = 0.0032) after adjustment for KRAS and BRAF, DNA Mistmatch Repair (MMR) status, and other covariates. A predefined five-category Immunoscore (I0-I4) revealed a statistically significant improvement in 3-y Disease-Free Survival (DFS) rates ranging from 63.8% for I0 patients to 100% for I4 patients. Strikingly, patients with a very high Immunoscore of I4 had no risk of recurrence for up to 8 y after tumor resection, similar to results from other cohorts.[7,8] No relationship was found between the Immunoscore and the mutational status of KRAS or BRAF genes, nor with patient body mass index or race. While the Immunoscore was developed in retrospective case series of CRC patients across all tumor stages and with varying treatment and follow-up, the Immunoscore results from the N0147 clinical trial are from colon cancer patients of uniform stage (III) and treatment (FOLFOX). High Immunoscore, both as a continuous variable or as di-chotomous, tri-chotomous, or penta-chotomous categorization, predicted better postsurgical survival after adjuvant FOLFOX. Specifically, patients whose tumors had a high vs. low three-level Immunoscore had significantly better DFS and Overall Survival (OS) rates even after adjustment for covariates and molecular features. This finding indicates that the tumor containment by the host immune system is mediated, at least in part, by intratumoral CD3+ and CD8 + T-cells. Conversely, patients whose tumors had a low or intermediate Immunoscore were more likely to experience disease recurrence or death. Importantly, Immunoscore remained significantly prognostic after excluding patients with deficient DNA Mismatch repair (dMMR) tumors, confirming that its association with prognosis was not driven by dMMR. In a multivariate model, Immunoscore remained statistically significant for DFS in contrast to MMR status. Furthermore, we found that Immunoscore enhances prognostication beyond that of established prognostic variables in stage III patients. A risk classification strategy proposed by the phase 3 clinical trial  International Duration Evaluation of Adjuvant chemotherapy (IDEA)[9] which divided patients into low-risk (T1-3, N1) and high-risk (T4 or N2) groups based on histopathological criteria. We found that the three-level Immunoscore can further risk-stratify stage III patients for DFS within these risk groups in the N0147 trial. Specifically, we identified a high-Immunoscore subset within the T1-3, N1 group that had a 91.8% 3-y DFS[8] that is similar to or above the 87% and 84.7% 3-y DFS rates reported for stage II patients treated with FOLFOX in the MOSAIC or NSABP-C-08 adjuvant trials, respectively. Strengths of our study include a patient population from a clinical trial cohort of uniform tumor stage and treatment with molecular annotation and rigorously collected patient outcome data. Furthermore, a centralized Immunoscore evaluation was performed assuring uniformity in its determination. Since all patients received adjuvant chemotherapy, a limitation is the inability to examine the predictive impact of immune markers for chemotherapy response, which was recently evaluated in the IDEA phase 3 randomized trial. The IDEA randomized phase 3 trial evaluated the noninferiority of 3 vs. 6 months of adjuvant chemotherapy in patients with resected stage III colon cancer. The primary objective of the study was not reached. However, data suggested that risk categories could be used to inform the duration of adjuvant chemotherapy. Component drugs in the FOLFOX regimen include 5-fluorouracil that may partially deplete or transiently inactivate inhibitory immune cells and oxaliplatin that may increase cytotoxic T-cell infiltration and are shown to induce immunogenic cell death.[10] High Immunoscore significantly predicted response to a 6- month duration of a fluoropyrimidine–oxaliplatin chemotherapy in all stage III patients in the IDEA phase 3 clinical trial.[7] Furthermore, Immunoscore predicted response to 6 months of FOLFOX chemotherapy within patients with low-risk (T1-3 and N1) and high-risk (T4 or N2) tumors. These data highlight the utility of Immunoscore for guiding treatment decisions in adjuvant settings (Figure 1).[7] In separate studies, Immunoscore within colon cancer metastases was also shown to predict the risk of patient relapse and death.[11]
Figure 1.

Clinical utility of Immunoscore. The tumor anatomy, including the tumor core, the invasive margin, and different T-cell subpopulations is illustrated. Immunoscore is a powerful prognosis marker and a predictive marker of response to chemotherapy for stage III colon cancer patients. CTL, cytotoxic T lymphocyte; TFH, T follicular-helper; TH1, T helper type 1.

Immunoscore for patient management decisions

The tumor and immune interaction indicated by the Immunoscore enables risk stratification of stage III colon cancer patients. These data provide a validation of the Immunoscore assay in a clinical trial cohort and underscore the limitations of T and N staging which are further illustrated by the ability of Immunoscore to refine prognostication among predetermined low- and high-risk T and N groups of stage III patients. Furthermore, data suggest that Immunoscore can be used to inform the duration of adjuvant chemotherapy in stage III patients. The American-Joint-Committee-on-Cancer/Union-Internationale-Contre-le-Cancer TNM staging system is currently the gold standard classification system for colon cancer. The first paradigm shift that translated into guidelines came recently with the latest (5th) edition of the World Health Organization (WHO) Digestive System Tumors, which introduced “the immune response as essential and desirable diagnostic criteria for colorectal cancer”. The consensus Immunoscore assay was cited as evidence that the immune response can improve prognostication in colon cancer.[1] The N0147 results, together with the introduction into the WHO guidelines, highlight the benefit of implementing Immunoscore into clinical practice and strongly advocate for the introduction of a new TNM-Immune classification system. The consensus Immunoscore assay has been developed as an in vitro diagnostic test to help guide treatment strategies, and is available in Clinical Laboratory Improvement Amendments by the Food and Drug Administration regulation (FDA-CLIA)-certified laboratories for routine use. Accordingly, Immunoscore could significantly modify colon cancer patient management and may also provide benefits in other cancer types.
  11 in total

Review 1.  Gastrointestinal tissue-based molecular biomarkers: a practical categorisation based on the 2019 World Health Organization classification of epithelial digestive tumours.

Authors:  Javier I Quezada-Marín; Alfred K Lam; Atsushi Ochiai; Robert D Odze; Kay M Washington; Masashi Fukayama; Massimo Rugge; David S Klimstra; Iris D Nagtegaal; Puay-Hoon Tan; Mark J Arends; John R Goldblum; Ian A Cree; Manuel Salto-Tellez
Journal:  Histopathology       Date:  2020-07-04       Impact factor: 5.087

2.  Comprehensive Intrametastatic Immune Quantification and Major Impact of Immunoscore on Survival.

Authors:  Bernhard Mlecnik; Marc Van den Eynde; Gabriela Bindea; Sarah E Church; Angela Vasaturo; Tessa Fredriksen; Lucie Lafontaine; Nacilla Haicheur; Florence Marliot; Daphné Debetancourt; Géraldine Pairet; Anne Jouret-Mourin; Jean-Francois Gigot; Catherine Hubert; Etienne Danse; Cristina Dragean; Javier Carrasco; Yves Humblet; Viia Valge-Archer; Anne Berger; Franck Pagès; Jean-Pascal Machiels; Jérôme Galon
Journal:  J Natl Cancer Inst       Date:  2018-01-01       Impact factor: 13.506

3.  Optimizing Adjuvant Therapy for Localized Colon Cancer and Treatment Selection in Advanced Colorectal Cancer.

Authors:  Axel Grothey; Alan P Venook
Journal:  J Natl Compr Canc Netw       Date:  2018-05       Impact factor: 11.908

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

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.  International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study.

Authors:  Franck Pagès; Bernhard Mlecnik; Florence Marliot; Gabriela Bindea; Fang-Shu Ou; Carlo Bifulco; Alessandro Lugli; 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; Mihaela Angelova; Angela Vasaturo; Pauline Maby; Sarah E Church; Helen K Angell; Lucie Lafontaine; Daniela Bruni; Carine El Sissy; Nacilla Haicheur; Amos Kirilovsky; Anne Berger; Christine Lagorce; Jeffrey P Meyers; Christopher Paustian; Zipei Feng; Carmen Ballesteros-Merino; Jeroen Dijkstra; Carlijn van de Water; Shannon van Lent-van Vliet; Nikki Knijn; Ana-Maria Mușină; 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; Daniel J Sargent; Bernard A Fox; Jérôme Galon
Journal:  Lancet       Date:  2018-05-10       Impact factor: 79.321

Review 7.  Rational bases for the use of the Immunoscore in routine clinical settings as a prognostic and predictive biomarker in cancer patients.

Authors:  Amos Kirilovsky; Florence Marliot; Carine El Sissy; Nacilla Haicheur; Jérôme Galon; Franck Pagès
Journal:  Int Immunol       Date:  2016-04-27       Impact factor: 4.823

8.  The essential role of the in situ immune reaction in human colorectal cancer.

Authors:  Franck Pagès; Jérôme Galon; Wolf H Fridman
Journal:  J Leukoc Biol       Date:  2008-06-17       Impact factor: 4.962

9.  Trial watch: Chemotherapy with immunogenic cell death inducers.

Authors:  Erika Vacchelli; Lorenzo Galluzzi; Wolf Hervé Fridman; Jerome Galon; Catherine Sautès-Fridman; Eric Tartour; Guido Kroemer
Journal:  Oncoimmunology       Date:  2012-03-01       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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