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Hijazi A, Galon J. Principles of risk assessment in colon cancer: immunity is key. Oncoimmunology 2024; 13:2347441. [PMID: 38694625 PMCID: PMC11062361 DOI: 10.1080/2162402x.2024.2347441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/16/2024] [Indexed: 05/04/2024] Open
Abstract
In clinical practice, the administration of adjuvant chemotherapy (ACT) following tumor surgical resection raises a critical dilemma for stage II colon cancer (CC) patients. The prognostic features used to identify high-risk CC patients rely on the pathological assessment of tumor cells. Currently, these factors are considered for stratifying patients who may benefit from ACT at early CC stages. However, the extent to which these factors predict clinical outcomes (i.e. recurrence, survival) remains highly controversial, also uncertainty persists regarding patients' response to treatment, necessitating further investigation. Therefore, an imperious need is to explore novel biomarkers that can reliably stratify patients at risk, to optimize adjuvant treatment decisions. Recently, we evaluated the prognostic and predictive value of Immunoscore (IS), an immune digital-pathology assay, in stage II CC patients. IS emerged as the sole significant parameter for predicting disease-free survival (DFS) in high-risk patients. Moreover, IS effectively stratified patients who would benefit most from ACT based on their risk of recurrence, thus predicting their outcomes. Notably, our findings revealed that digital IS outperformed the visual quantitative assessment of the immune response conducted by expert pathologists. The latest edition of the WHO classification for digestive tumor has introduced the evaluation of the immune response, as assessed by IS, as desirable and essential diagnostic criterion. This supports the revision of current cancer guidelines and strongly recommends the implementation of IS into clinical practice as a patient stratification tool, to guide CC treatment decisions. This approach may provide appropriate personalized therapeutic decisions that could critically impact early-stage CC patient care.
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Affiliation(s)
- Assia Hijazi
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Veracyte, Marseille, France
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Hijazi A, Bifulco C, Baldin P, Galon J. Digital Pathology for Better Clinical Practice. Cancers (Basel) 2024; 16:1686. [PMID: 38730638 PMCID: PMC11083211 DOI: 10.3390/cancers16091686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
(1) Background: Digital pathology (DP) is transforming the landscape of clinical practice, offering a revolutionary approach to traditional pathology analysis and diagnosis. (2) Methods: This innovative technology involves the digitization of traditional glass slides which enables pathologists to access, analyze, and share high-resolution whole-slide images (WSI) of tissue specimens in a digital format. By integrating cutting-edge imaging technology with advanced software, DP promises to enhance clinical practice in numerous ways. DP not only improves quality assurance and standardization but also allows remote collaboration among experts for a more accurate diagnosis. Artificial intelligence (AI) in pathology significantly improves cancer diagnosis, classification, and prognosis by automating various tasks. It also enhances the spatial analysis of tumor microenvironment (TME) and enables the discovery of new biomarkers, advancing their translation for therapeutic applications. (3) Results: The AI-driven immune assays, Immunoscore (IS) and Immunoscore-Immune Checkpoint (IS-IC), have emerged as powerful tools for improving cancer diagnosis, prognosis, and treatment selection by assessing the tumor immune contexture in cancer patients. Digital IS quantitative assessment performed on hematoxylin-eosin (H&E) and CD3+/CD8+ stained slides from colon cancer patients has proven to be more reproducible, concordant, and reliable than expert pathologists' evaluation of immune response. Outperforming traditional staging systems, IS demonstrated robust potential to enhance treatment efficiency in clinical practice, ultimately advancing cancer patient care. Certainly, addressing the challenges DP has encountered is essential to ensure its successful integration into clinical guidelines and its implementation into clinical use. (4) Conclusion: The ongoing progress in DP holds the potential to revolutionize pathology practices, emphasizing the need to incorporate powerful AI technologies, including IS, into clinical settings to enhance personalized cancer therapy.
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Affiliation(s)
- Assia Hijazi
- The French National Institute of Health & Medical Research (INSERM), Laboratory of Integrative Cancer Immunology, F-75006 Paris, France;
- Equipe Labellisée Ligue Contre le Cancer, F-75006 Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, F-75006 Paris, France
| | - Carlo Bifulco
- Providence Genomics, Portland, OR 02912, USA;
- Earle A Chiles Research Institute, Portland, OR 97213, USA
| | - Pamela Baldin
- Department of Pathology, Cliniques Universitaires Saint Luc, UCLouvain, 1200 Brussels, Belgium;
| | - Jérôme Galon
- The French National Institute of Health & Medical Research (INSERM), Laboratory of Integrative Cancer Immunology, F-75006 Paris, France;
- Equipe Labellisée Ligue Contre le Cancer, F-75006 Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, F-75006 Paris, France
- Veracyte, 13009 Marseille, France
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3
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Kuznetsova O, Fedyanin M, Zavalishina L, Moskvina L, Kuznetsova O, Lebedeva A, Tryakin A, Kireeva G, Borshchev G, Tjulandin S, Ignatova E. Prognostic and predictive role of immune microenvironment in colorectal cancer. World J Gastrointest Oncol 2024; 16:643-652. [PMID: 38577454 PMCID: PMC10989368 DOI: 10.4251/wjgo.v16.i3.643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/20/2023] [Accepted: 01/22/2024] [Indexed: 03/12/2024] Open
Abstract
Colorectal cancer (CRC) represents a molecularly heterogeneous disease and one of the most frequent causes of cancer-related death worldwide. The traditional classification of CRC is based on pathomorphological and molecular characteristics of tumor cells (mucinous, ring-cell carcinomas, etc.), analysis of mechanisms of carcinogenesis involved (chromosomal instability, microsatellite instability, CpG island methylator phenotype) and mutational statuses of commonly altered genes (KRAS, NRAS, BRAF, APC, etc.), as well as expression signatures (CMS 1-4). It is also suggested that the tumor microenvironment is a key player in tumor progression and metastasis in CRC. According to the latest data, the immune microenvironment can also be predictive of the response to immune checkpoint inhibitors. In this review, we highlight how the immune environment influences CRC prognosis and sensitivity to systemic therapy.
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Affiliation(s)
- Olesya Kuznetsova
- Department of Chemotherapy, Federal State Budgetary Institution (N.N. Blokhin National Medical Research Center of Oncology) of the Ministry of Health of the Russian Federation, Moscow 115478, Russia
| | - Mikhail Fedyanin
- Department of Chemotherapy, Federal State Budgetary Institution (N.N. Blokhin National Medical Research Center of Oncology) of the Ministry of Health of the Russian Federation, Moscow 115478, Russia
| | - Larisa Zavalishina
- Department of Pathology, Russian Medical Academy of Continuous Professional Education, Moscow 123242, Russia
| | - Larisa Moskvina
- Department of Pathology, Russian Medical Academy of Continuous Professional Education, Moscow 123242, Russia
| | - Olga Kuznetsova
- Department of Pathology, Russian Medical Academy of Continuous Professional Education, Moscow 123242, Russia
| | | | - Alexey Tryakin
- Department of Chemotherapy, Federal State Budgetary Institution (N.N. Blokhin National Medical Research Center of Oncology) of the Ministry of Health of the Russian Federation, Moscow 115478, Russia
| | - Galina Kireeva
- Federal State Budgetary Institution “National Medical and Surgical Center named after N.I. Pirogov” of the Ministry of Health of the Russian Federation, Moscow 105203, Russia
| | - Gleb Borshchev
- Federal State Budgetary Institution “National Medical and Surgical Center named after N.I. Pirogov” of the Ministry of Health of the Russian Federation, Moscow 105203, Russia
| | - Sergei Tjulandin
- Department of Chemotherapy, Federal State Budgetary Institution (N.N. Blokhin National Medical Research Center of Oncology) of the Ministry of Health of the Russian Federation, Moscow 115478, Russia
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Willis J, Anders RA, Torigoe T, Hirohashi Y, Bifulco C, Zlobec I, Mlecnik B, Demaria S, Choi WT, Dundr P, Tatangelo F, Di Mauro A, Baldin P, Bindea G, Marliot F, Haicheur N, Fredriksen T, Kirilovsky A, Buttard B, Vasaturo A, Lafontaine L, Maby P, El Sissy C, Hijazi A, Majdi A, Lagorce C, Berger A, Van den Eynde M, Pagès F, Lugli A, Galon J. Multi-Institutional Evaluation of Pathologists' Assessment Compared to Immunoscore. Cancers (Basel) 2023; 15:4045. [PMID: 37627073 PMCID: PMC10452341 DOI: 10.3390/cancers15164045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND The Immunoscore (IS) is a quantitative digital pathology assay that evaluates the immune response in cancer patients. This study reports on the reproducibility of pathologists' visual assessment of CD3+- and CD8+-stained colon tumors, compared to IS quantification. METHODS An international group of expert pathologists evaluated 540 images from 270 randomly selected colon cancer (CC) cases. Concordance between pathologists' T-score, corresponding hematoxylin-eosin (H&E) slides, and the digital IS was evaluated for two- and three-category IS. RESULTS Non-concordant T-scores were reported in more than 92% of cases. Disagreement between semi-quantitative visual assessment of T-score and the reference IS was observed in 91% and 96% of cases before and after training, respectively. Statistical analyses showed that the concordance index between pathologists and the digital IS was weak in two- and three-category IS, respectively. After training, 42% of cases had a change in T-score, but no improvement was observed with a Kappa of 0.465 and 0.374. For the 20% of patients around the cut points, no concordance was observed between pathologists and digital pathology analysis in both two- and three-category IS, before or after training (all Kappa < 0.12). CONCLUSIONS The standardized IS assay outperformed expert pathologists' T-score evaluation in the clinical setting. This study demonstrates that digital pathology, in particular digital IS, represents a novel generation of immune pathology tools for reproducible and quantitative assessment of tumor-infiltrated immune cell subtypes.
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Affiliation(s)
- Joseph Willis
- Department of Pathology, UH Cleveland Medical Center, Cleveland, OH 44106, USA;
| | | | - Toshihiko Torigoe
- Department of Pathology, Sapporo Medical University School of Medicine, Sapporo 060-8556, Japan; (T.T.); (Y.H.)
| | - Yoshihiko Hirohashi
- Department of Pathology, Sapporo Medical University School of Medicine, Sapporo 060-8556, Japan; (T.T.); (Y.H.)
| | - Carlo Bifulco
- Department of Pathology and Molecular Genomics, Providence Portland Medical Center, Portland, OR 97213, USA;
| | - Inti Zlobec
- Institute of Pathology, University of Bern, 3008 Bern, Switzerland; (I.Z.); (A.L.)
| | - Bernhard Mlecnik
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Inovarion, 75005 Paris, France
| | - Sandra Demaria
- Department of Pathology, Weill Cornell Medicine, New York, NY 10021, USA;
| | - Won-Tak Choi
- Department of Pathology, University of California, San Francisco, CA 94143, USA;
| | - Pavel Dundr
- Institute of Pathology, First Faculty of Medicine, Charles University, General University Hospital in Prague, 12808 Prague, Czech Republic;
| | - Fabiana Tatangelo
- Department of Pathology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (F.T.); (A.D.M.)
| | - Annabella Di Mauro
- Department of Pathology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (F.T.); (A.D.M.)
| | - Pamela Baldin
- Department of Pathology, Cliniques Universitaires St-Luc, Institut de Recherche Clinique et Experimentale (Pole GAEN), Université Catholique de Louvain, 1348 Brussels, Belgium;
| | - Gabriela Bindea
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Florence Marliot
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Nacilla Haicheur
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Tessa Fredriksen
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Amos Kirilovsky
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Bénédicte Buttard
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Angela Vasaturo
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Lucie Lafontaine
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Pauline Maby
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Carine El Sissy
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Assia Hijazi
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Amine Majdi
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
| | - Christine Lagorce
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Department of Pathology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Anne Berger
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Digestive Surgery Department, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Marc Van den Eynde
- Institut Roi Albert II, Department of Medical Oncology, Cliniques Universitaires St-Luc, Institut de Recherche Clinique et Experimentale (Pole MIRO), Université Catholique de Louvain, 1030 Brussels, Belgium;
| | - Franck Pagès
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France
| | - Alessandro Lugli
- Institute of Pathology, University of Bern, 3008 Bern, Switzerland; (I.Z.); (A.L.)
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France; (B.M.); (G.B.); (F.M.); (N.H.); (T.F.); (A.K.); (B.B.); (A.V.); (L.L.); (P.M.); (C.E.S.); (A.H.); (A.M.); (C.L.); (A.B.); (F.P.)
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
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Su X, Brassard A, Bartolomucci A, Dhoparee‐Doomah I, Qiu Q, Tsering T, Rohanizadeh R, Koufos O, Giannias B, Bourdeau F, Feng L, Messina‐Pacheco J, Leo S, Sangwan V, Quail D, Tankel J, Spicer J, Burnier JV, Bailey SD, Ferri L, Cools‐Lartigue J. Tumour extracellular vesicles induce neutrophil extracellular traps to promote lymph node metastasis. J Extracell Vesicles 2023; 12:e12341. [PMID: 37563798 PMCID: PMC10415595 DOI: 10.1002/jev2.12341] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/15/2023] [Indexed: 08/12/2023] Open
Abstract
Lymph nodes (LNs) are frequently the first sites of metastasis. Currently, the only prognostic LN assessment is determining metastatic status. However, there is evidence suggesting that LN metastasis is facilitated by the formation of a pre-metastatic niche induced by tumour derived extracellular vehicles (EVs). Therefore, it is important to detect and modify the LN environmental changes. Earlier work has demonstrated that neutrophil extracellular traps (NETs) can sequester and promote distant metastasis. Here, we first confirmed that LN NETs are associated with reduced patient survival. Next, we demonstrated that NETs deposition precedes LN metastasis and NETs inhibition diminishes LN metastases in animal models. Furthermore, we discovered that EVs are essential to the formation of LN NETs. Finally, we showed that lymphatic endothelial cells secrete CXCL8/2 in response to EVs inducing NETs formation and the promotion of LN metastasis. Our findings reveal the role of EV-induced NETs in LN metastasis and provide potential immunotherapeutic vulnerabilities that may occur early in the metastatic cascade.
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Affiliation(s)
- Xin Su
- Department of Experimental SurgeryMcGill UniversityMontrealQuebecCanada
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of PathologyMcGill UniversityMontrealQuebecCanada
| | - Ariane Brassard
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of Microbiology and ImmunologyMcGill UniversityMontrealQuebecCanada
| | - Alexandra Bartolomucci
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of PathologyMcGill UniversityMontrealQuebecCanada
| | - Iqraa Dhoparee‐Doomah
- Department of Experimental SurgeryMcGill UniversityMontrealQuebecCanada
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Qian Qiu
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Thupten Tsering
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of PathologyMcGill UniversityMontrealQuebecCanada
| | - Ramin Rohanizadeh
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Olivia Koufos
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Betty Giannias
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - France Bourdeau
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Lixuan Feng
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of Microbiology and ImmunologyMcGill UniversityMontrealQuebecCanada
| | - Julia Messina‐Pacheco
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of PathologyMcGill UniversityMontrealQuebecCanada
| | - Sabrina Leo
- Department of Experimental SurgeryMcGill UniversityMontrealQuebecCanada
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Veena Sangwan
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Daniela Quail
- The Rosalind and Morris Goodman Cancer InstituteMcGill UniversityMontrealQuebecCanada
| | - James Tankel
- Division of Thoracic and Upper Gastrointestinal SurgeryMcGill UniversityMontrealQuebecCanada
| | - Jonathan Spicer
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Division of Thoracic and Upper Gastrointestinal SurgeryMcGill UniversityMontrealQuebecCanada
| | - Julia Valdemarin Burnier
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Department of PathologyMcGill UniversityMontrealQuebecCanada
| | - Swneke Donovan Bailey
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
| | - Lorenzo Ferri
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Division of Thoracic and Upper Gastrointestinal SurgeryMcGill UniversityMontrealQuebecCanada
| | - Jonathan Cools‐Lartigue
- Cancer Research ProgramResearch Institute of McGill University Health CenterMontrealQuebecCanada
- Division of Thoracic and Upper Gastrointestinal SurgeryMcGill UniversityMontrealQuebecCanada
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Moretto R, Rossini D, Catteau A, Antoniotti C, Giordano M, Boccaccino A, Ugolini C, Proietti A, Conca V, Kassambara A, Pietrantonio F, Salvatore L, Lonardi S, Tamberi S, Tamburini E, Poma AM, Fieschi J, Fontanini G, Masi G, Galon J, Cremolini C. Dissecting tumor lymphocyte infiltration to predict benefit from immune-checkpoint inhibitors in metastatic colorectal cancer: lessons from the AtezoT RIBE study. J Immunother Cancer 2023; 11:jitc-2022-006633. [PMID: 37085190 PMCID: PMC10124320 DOI: 10.1136/jitc-2022-006633] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/02/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND Tumor immune cells influence the efficacy of immune-checkpoint inhibitors (ICIs) and many efforts aim at identifying features of tumor immune microenvironment able to predict benefit from ICIs in proficient mismatch repair (pMMR)/microsatellite stable (MSS) metastatic colorectal cancer (mCRC). METHODS We characterized tumor immune cell infiltrate, by assessing tumor-infiltrating lymphocytes (TILs), Immunoscore, Immunoscore-IC, and programmed death ligand-1 (PD-L1) expression in tumor samples of patients with mCRC enrolled in the AtezoTRIBE study, a phase II randomized trial comparing FOLFOXIRI/bevacizumab/atezolizumab to FOLFOXIRI/bevacizumab, with the aim of evaluating the prognostic and predictive value of these features. RESULTS Out of 218 patients enrolled, 181 (83%), 77 (35%), 157 (72%) and 162 (74%) specimens were successfully tested for TILs, Immunoscore, Immunoscore-IC and PD-L1 expression, respectively, and 69 (38%), 45 (58%), 50 (32%) and 21 (13%) tumors were classified as TILs-high, Immunoscore-high, Immunoscore-IC-high and PD-L1-high, respectively. A poor agreement was observed between TILs and Immunoscore or Immunoscore-IC (K of Cohen <0.20). In the pMMR population, longer progression-free survival (PFS) was reported for Immunoscore-high and Immunoscore-IC-high groups compared with Immunoscore-low (16.4 vs 12.2 months; HR: 0.55, 95% CI: 0.30 to 0.99; p=0.049) and Immunoscore-IC-low (14.8 vs 11.5 months; HR: 0.55, 95% CI: 0.35 to 0.85; p=0.007), respectively, with a significant interaction effect between treatment arms and Immunoscore-IC (p for interaction: 0.006) and a trend for Immunoscore (p for interaction: 0.13). No PFS difference was shown according to TILs and PD-L1 expression. Consistent results were reported in the overall population. CONCLUSIONS The digital evaluation of tumor immune cell infiltrate by means of Immunoscore-IC or Immunoscore identifies the subset of patients with pMMR mCRC achieving more benefit from the addition of the anti-PD-L1 to the upfront treatment. Immunoscore-IC stands as the most promising predictor of benefit from ICIs.
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Affiliation(s)
- Roberto Moretto
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Daniele Rossini
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | | | - Carlotta Antoniotti
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Mirella Giordano
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Alessandra Boccaccino
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Clara Ugolini
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Agnese Proietti
- Unit of Pathological Anatomy 3, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Veronica Conca
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | | | - Filippo Pietrantonio
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Lisa Salvatore
- Oncologia Medica, Comprehensive Cancer Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Oncologia Medica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sara Lonardi
- Medical Oncology 3, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Stefano Tamberi
- Oncology Unit, Ravenna Hospital, AUSL Romagna, Ravenna, Italy
| | - Emiliano Tamburini
- Department of Oncology and Palliative Care, Cardinale G Panico, Tricase City Hospital, Tricase, Italy
| | - Anello Marcello Poma
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | | | - Gabriella Fontanini
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Gianluca Masi
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, F-75006, France
- Sorbonne Université, Université de Paris, Centre de Recherche des Cordeliers, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
| | - Chiara Cremolini
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Department of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy
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Atreya I, Neurath MF. How the Tumor Micromilieu Modulates the Recruitment and Activation of Colorectal Cancer-Infiltrating Lymphocytes. Biomedicines 2022; 10:biomedicines10112940. [PMID: 36428508 PMCID: PMC9687992 DOI: 10.3390/biomedicines10112940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022] Open
Abstract
The successful treatment of advanced colorectal cancer disease still represents an insufficiently solved clinical challenge, which is further complicated by the fact that the majority of malignant colon tumors show only relatively low immunogenicity and therefore have only limited responsiveness to immunotherapeutic approaches, such as, for instance, the use of checkpoint inhibitors. As it has been well established over the past two decades that the local tumor microenvironment and, in particular, the quantity, quality, and activation status of intratumoral immune cells critically influence the clinical prognosis of patients diagnosed with colorectal cancer and their individual benefits from immunotherapy, the enhancement of the intratumoral accumulation of cytolytic effector T lymphocytes and other cellular mediators of the antitumor immune response has emerged as a targeted objective. For the future identification and clinical validation of novel therapeutic target structures, it will thus be essential to further decipher the molecular mechanisms and cellular interactions in the intestinal tumor microenvironment, which are crucially involved in immune cell recruitment and activation. In this context, our review article aims at providing an overview of the key chemokines and cytokines whose presence in the tumor micromilieu relevantly modulates the numeric composition and antitumor capacity of tumor-infiltrating lymphocytes.
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Affiliation(s)
- Imke Atreya
- Department of Medicine 1, Erlangen University Hospital, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Erlangen University Hospital, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Markus F. Neurath
- Department of Medicine 1, Erlangen University Hospital, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), Erlangen University Hospital, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
- Correspondence: ; Tel.: +49-9131-8535204; Fax: +49-9131-8535209
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Chen P, Zhang J, Wu J. Artificial Intelligence in Digital Pathology to Advance Cancer Immunotherapy. 21ST CENTURY PATHOLOGY 2022; 2:120. [PMID: 36282981 PMCID: PMC9578679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Immune-checkpoint inhibitors (ICIs) have revolutionized the treatment of many malignancies. For instance, in lung cancer, however, only 20~30% of patients can achieve durable clinical benefits from ICI monotherapy. Histopathologic and molecular features such as histological type, PD-L1 expression, and tumor mutation burden (TMB), play a paramount role in selecting appropriate regimens for cancer treatment in the era of immunotherapy. Unfortunately, none of the existing features are exclusive predictive biomarkers. Thus, there is an imperative need to pinpoint more effective biomarkers to identify patients who may achieve the most benefit from ICIs. The adoption of digital pathology in clinical flow, as being powered by artificial intelligence (AI) especially deep learning, has catalyzed the automated analysis of tissue slides. With the breakthrough of multiplex bioimaging technology, researchers can comprehensively characterize the tumor microenvironment, including the different immune cells' distribution, function, and interaction. Here, we briefly summarize recent AI studies in digital pathology and share our perspective on emerging paradigms and directions to advance the development of immunotherapy biomarkers.
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Affiliation(s)
- Pingjun Chen
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jia Wu
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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