Literature DB >> 33110705

Immunity to live: an immunopathoscore using the consensus Immunoscore to best define the risk of recurrence and death in stage IV metastatic patients.

Pamela Baldin1, Marc Van den Eynde2, Bernhard Mlecnik3,4,5,6, Jérôme Galon3,4,5.   

Abstract

The consensus Immunoscore is a routine assay quantifying the adaptive immune response within the tumor microenvironment. Its evaluation in the primary tumor of patients with stages I/II/III colorectal cancer (CRC) has prognostic value that has been confirmed in multiple studies. For metastatic patients, the evaluation of the consensus Immunoscore within resected metastases also significantly predicts the recurrence and survival of Stage IV patients. Since recurrence rates post-surgery are still very high, it is important to best evaluate risk parameters using the main patho-molecular and immune parameters. After preoperative treatment and curative resection of 582 metastases from 221 patients, clinico-pathological parameters, RAS mutation, and Immunoscore within metastases were assessed. Immunoscore and clinico-pathological parameters (number of metastases, surgical margin, histopathological growth pattern, and steatohepatitis) were associated with relapse in multivariable analysis. A Pathological Score (PS) that combines relevant clinico-pathological factors for relapse and Immunoscore was significantly (P < .0001) associated with Time to recurrence. In multivariable analysis, only Immunoscore (P < .001) and RAS mutations (P= .03) were prognostic and significantly associated with overall survival. Thus, among all parameters clinically relevant in the metastatic settings, PS and Immunoscore allow the stratification of stage IV CRC patients and identify patients with higher risk of recurrence. Immunoscore remained the major prognostic factor for overall survival (OS). In its latest edition, the WHO classification of Digestive System Tumors introduced for the first time the immune response as an essential and desirable diagnostic criterion for CRC. These novel results highlight the clinical utility of Immunoscore in Stage IV patients.
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.

Entities:  

Keywords:  Immunoscore; cancer classification; chemotherapy; immunity; metastasis; pathology; prognosis; stage IV; tumor microenvironment

Mesh:

Year:  2020        PMID: 33110705      PMCID: PMC7561331          DOI: 10.1080/2162402X.2020.1826133

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


The prognostic impact of patho-molecular features and Immunoscore on stage IV metastatic patients

Colorectal cancer (CRC) is a major leading cause of cancer death worldwide, particularly for stage IV metastatic patients. Most metastases occur in the liver, lungs, and peritoneum. Surgical resection of colorectal liver metastases provides a 5-year survival rate of 50–60%, however, recurrence of the disease occurs in up to 70% of patients who have undergone such curative resection. Analysis of patho-molecular findings as well as immune parameters in samples of resected metastases could provide significant information on the aggressiveness of the tumor and on the efficacy of preoperative treatment. For liver metastases, the current clinico-pathological parameters relevant for the prognostic survival after metastatic resection are: (1) size and number of lesions, (2) surgical margin status, (3) pathological tumor response assessed by tumor regression grading (TRG), (4) histopathological growth pattern (HGP) of liver metastases, (5) molecular status assessed by the presence of RAS and BRAF mutations, and (6)chemotherapy-related liver injury (CALI) evaluated in distant parenchyma, which include sinusoidal obstructive syndrome, nodular regenerative hyperplasia, and steatohepatitis.[1] Clinical utility of immunoscore in metastasis. Relative contribution to the risk of death (OS) and Cox multivariateriable analysis for metastatic patients, including the following parameters, size of lesions, number of lesions, surgical margin status (R0/R1), pathological tumor response assessed by tumor regression grading (TRG), histopathological growth pattern (HGP) of liver metastases, molecular status assessed by the presence of BRAF or RAS mutations, chemotherapy-related liver injury (CALI), steatohepatitis, CALI with sinusoidal obstructive syndrome (SOS), CALI with nodular regenerative hyperplasia (NRH), and the consensus immunoscore. The oncogenic process and tumor clone dissemination from pre-cancer lesion[2] to metastasis[3-5] is deeply impacted by the immunity within the microenvironment. The consensus Immunoscore, assessing the tumor immune infiltration of T- and cytotoxic T-cells, plays a major role for patient’s relapse and survival in primary[6-8] and metastatic settings.[3-5] To improve the predictive accuracy of patho-molecular examination and immune assessment of metastases, we investigated all these recognized prognostic factors to study comprehensively their prognostic impact in stratifying patient prognosis. The study included 582 metastases from 221 patients.[1] Nearly all patients had a BRAF wild-type and microsatellite stable tumor. Most of the patients had several synchronous metastases and received preoperative chemotherapy (84,6%) mainly associated with a targeted therapy (anti-VEGF or anti-EGFR), followed by surgical resection of metastases. Component drugs in the FOLFOX regimen was shown to induce immunogenic cell death.[9] Patients with multiple metastases had heterogeneous TRG and HGP. Desmoplastic and mixed HGP metastases were the most frequent patterns. Better pathological response (TRG1-3) was significantly associated with desmoplastic and pushing HGP but also with higher Immunoscore. In univariate analysis, several parameters were associated with shorter time to relapse (TTR), including the presence of involved lymph-node (pN+) during primary tumor resection (P = .0172), the presence of more than three metastases (P= .0001), R1 positive margin (P= .0017), presence of replacement and mixed HGP (P= .0002), and low Immunoscore (P< .00001). On the overhand, significant prognostic parameters for overall survival (OS) were RAS mutation (P= .0109), TRG (P= .0471), the presence of more than three metastases (P= .0229), and Immunoscore (P= .0001). Thus, only two parameters were significantly associated with both recurrence and overall survival, presence of more than three metastases, and Immunoscore.[1] In Cox multivariate analyses, replacement and mixed HGP, presence of steatohepatitis, number of resected metastases, resection margin status, and Immunoscore were significantly associated with TTR. In contrast, only RAS mutation and Immunoscore were significant for OS. The relative contribution of each parameter included in multivariate analysis for TTR and OS revealed that Immunoscore had the highest contribution for TRR (30%) and OS (64%). After the assessment of the individual impact of clinico-pathological parameters for patient outcome, their combined power on the patient prognosis was investigated using an optimized Pathological Score (PS, PathoScore). PS was significantly associated with TTR in univariate analysis. Patients with a worse PS have more than two times higher-risk to relapse compared with patients with a favorable PS (P < .00001). In multivariable analysis for TTR, PathoScore and Immunoscore were significant (both P < .001). In contrast, multivariable analysis for OS revealed that RAS-mutation status (P= .03) and Immunoscore (P= .0009) were the only significant parameters (Figure 1). Hence, only Immunoscore was significant in multivariate analysis for both TTR and OS.[1]
Figure 1.

Clinical utility of immunoscore in metastasis. Relative contribution to the risk of death (OS) and Cox multivariateriable analysis for metastatic patients, including the following parameters, size of lesions, number of lesions, surgical margin status (R0/R1), pathological tumor response assessed by tumor regression grading (TRG), histopathological growth pattern (HGP) of liver metastases, molecular status assessed by the presence of BRAF or RAS mutations, chemotherapy-related liver injury (CALI), steatohepatitis, CALI with sinusoidal obstructive syndrome (SOS), CALI with nodular regenerative hyperplasia (NRH), and the consensus immunoscore.

Patients combining a favorable PathoScore and a high Immunoscore had the lowest risk of relapse. The worst OS was observed for patients with poor PathoScore and low Immunoscore. Regardless of the PathoScore, patients with a high-Immunoscore had a prolonged survival compared to patients with a low-Immunoscore.[1] Immunoscore remained a major prognostic factor for TTR and OS confirming that within metastatic CRC the adaptive immune response plays a central role in preventing tumor recurrence.[10-12] The role of the natural immunity and long-lasting capacity of memory T-cells, as well as immunoediting, could play a central role for patients’ survival. The limit of our study is its retrospective design. Additional studies to validate the importance of the PS and the other parameters should be further considered. Strengths of our study include a patient population of uniform tumor stage with molecular annotation and rigorously collected patient outcome data. Furthermore, a centralized Immunoscore evaluation on all resected metastases was performed assuring uniformity in its determination and analysis. Another study[4] revealed that a strong infiltrate with adaptive immune cells and Immunoscore were prolonging the survival (disease-free survival and overall survival) of the patients, even if they were classified as nonresponders (no tumor regression following neo-adjuvant chemotherapy-based treatment). The immune parameters remained the only statistically significant prognostic factor associated with DFS and OS in multivariable analysis, while response to treatment was not.[4] These findings underline the importance of immunological markers and Immunoscore in determining the prognosis and response to therapy.

Immunoscore for guiding patient management decisions

These results confirm the limited impact of the preoperative treatment and highlight the strongest prognostic factors in Stage IV patients. No survival benefit for preoperative treatment has ever been demonstrated for patients with resectable liver colorectal metastases. The prognostic value of Immunoscore has been demonstrated in Stage I/II/III, Stage II, Stage III,[6-8] and its predictive value of response to chemotherapy demonstrated for randomized phase 3 trial of Stage III patients.[13] These results further reinforce the clinical utility of Immunoscore in Stage IV patients.[1] Tumor and immunological markers are shaping of an efficient immune reaction and can serve as targets for novel therapeutic approaches. Thus, the strength of the immune reaction could advance our understanding of cancer evolution and have important consequences in clinical practice.[14] The combination of Pathoscore and Immunoscore, both important markers to assess the risk of patient tumor relapse, helps clinicians in the decision-making process, and for the best post-metastasectomy clinical approach. Independently of relapse, Immunoscore remains the major determinant of patient overall survival. The 2020 ESMO Clinical Practice Guidelines for colon cancer included Immunoscore to refine the prognosis and thus adjust the chemotherapy decision-making process. Furthermore, the introduction into the latest (fifth) edition of the WHO Digestive System Tumors of the immune response, as measured by Immunoscore, as essential and desirable diagnostic criteria for colorectal cancer, further supports the introduction of a new TNM-Immune classification system.
  14 in total

1.  The Link between the Multiverse of Immune Microenvironments in Metastases and the Survival of Colorectal Cancer Patients.

Authors:  Marc Van den Eynde; Bernhard Mlecnik; Gabriela Bindea; Tessa Fredriksen; Sarah E Church; Lucie Lafontaine; Nacilla Haicheur; Florence Marliot; Mihaela Angelova; Angela Vasaturo; Daniela Bruni; Anne Jouret-Mourin; Pamela Baldin; Nicolas Huyghe; Karin Haustermans; Annelies Debucquoy; Eric Van Cutsem; Jean-Francois Gigot; Catherine Hubert; Alex Kartheuser; Christophe Remue; Daniel Léonard; Viia Valge-Archer; Franck Pagès; Jean-Pascal Machiels; Jérôme Galon
Journal:  Cancer Cell       Date:  2018-12-10       Impact factor: 31.743

2.  Evolution of Metastases in Space and Time under Immune Selection.

Authors:  Mihaela Angelova; Bernhard Mlecnik; Angela Vasaturo; Gabriela Bindea; Tessa Fredriksen; Lucie Lafontaine; Bénédicte Buttard; Erwan Morgand; Daniela Bruni; Anne Jouret-Mourin; Catherine Hubert; Alex Kartheuser; Yves Humblet; Michele Ceccarelli; Najeeb Syed; Francesco M Marincola; Davide Bedognetti; Marc Van den Eynde; Jérôme Galon
Journal:  Cell       Date:  2018-10-11       Impact factor: 41.582

Review 3.  The Immunoscore: Colon Cancer and Beyond.

Authors:  Helen K Angell; Daniela Bruni; J Carl Barrett; Ronald Herbst; Jérôme Galon
Journal:  Clin Cancer Res       Date:  2019-08-14       Impact factor: 12.531

Review 4.  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

Review 5.  Tumor Immunology and Tumor Evolution: Intertwined Histories.

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

6.  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

7.  Immune evasion before tumour invasion in early lung squamous carcinogenesis.

Authors:  Céline Mascaux; Mihaela Angelova; Angela Vasaturo; Jennifer Beane; Kahkeshan Hijazi; Geraldine Anthoine; Bénédicte Buttard; Françoise Rothe; Karen Willard-Gallo; Annick Haller; Vincent Ninane; Arsène Burny; Jean-Paul Sculier; Avi Spira; Jérôme Galon
Journal:  Nature       Date:  2019-06-26       Impact factor: 49.962

Review 8.  The prognostic impact of anti-cancer immune response: a novel classification of cancer patients.

Authors:  Gabriela Bindea; Bernhard Mlecnik; Wolf-Herman Fridman; Jérôme Galon
Journal:  Semin Immunopathol       Date:  2011-04-05       Impact factor: 9.623

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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  3 in total

1.  Perspectives in Immunotherapy: meeting report from the Immunotherapy Bridge, December 1st-2nd, 2021.

Authors:  Paolo A Ascierto; Antonio Avallone; Nina Bhardwaj; Carlo Bifulco; Sergio Bracarda; Joshua D Brody; Luigi Buonaguro; Sandra Demaria; Leisha A Emens; Robert L Ferris; Jérôme Galon; Samir N Khleif; Christopher A Klebanoff; Tamara Laskowski; Ignacio Melero; Chrystal M Paulos; Sandro Pignata; Marco Ruella; Inge Marie Svane; Janis M Taube; Bernard A Fox; Patrick Hwu; Igor Puzanov
Journal:  J Transl Med       Date:  2022-06-07       Impact factor: 8.440

2.  The Importance of Being "That" Colorectal pT1: A Combined Clinico-Pathological Predictive Score to Improve Nodal Risk Stratification.

Authors:  Alessandro Gambella; Enrico Costantino Falco; Giacomo Benazzo; Simona Osella-Abate; Rebecca Senetta; Isabella Castellano; Luca Bertero; Paola Cassoni
Journal:  Front Med (Lausanne)       Date:  2022-02-14

Review 3.  Biomarkers in Metastatic Colorectal Cancer: Status Quo and Future Perspective.

Authors:  Alberto Puccini; Andreas Seeber; Martin D Berger
Journal:  Cancers (Basel)       Date:  2022-10-03       Impact factor: 6.575

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