Literature DB >> 30804005

Combined Low Densities of FoxP3+ and CD3+ Tumor-Infiltrating Lymphocytes Identify Stage II Colorectal Cancer at High Risk of Progression.

Tommaso Cavalleri1, Paolo Bianchi1, Gianluca Basso1, Giuseppe Celesti1, Fabio Grizzi2, Paola Bossi3, Luana Greco1, Calogero Pitrone1, Emanuele Valtorta4, Gianluca Mauri4,5, Mauro Truini4, Filippo Gustavo Dall'Olio6, Giovanni Brandi7, Andrea Sartore-Bianchi4,5, Luigi Ricciardiello8, Valter Torri9, Lorenza Rimassa10, Salvatore Siena4,5, Alberto Mantovani2,11,12, Alberto Malesci13,14, Luigi Laghi.   

Abstract

The densities of CD3+ and CD8+ tumor-infiltrating lymphocytes (TILs), combined with tumor-node-metastasis (TNM) staging, have prognostic value for patients with nonmetastatic colorectal cancer. We compared the prognostic value of CD3+ and FoxP3+ TILs at the invasive front, TNM classifiers, and microsatellite (MS) status in a trial set of patients with stage II and III colorectal cancer (n = 413), by recursive partitioning with a classification and regression tree (CART). Significant prognostic factors and interactions were reassessed by logistic regression and Cox proportional-hazards modeling in the trial and a validation set (n = 215) of patients with stage II colorectal cancer. In the trial set, CART indicated that TIL numbers were of value only in predicting recurrence risk for stage II cancers, where low densities of FoxP3+ TILs ranked first and low densities of CD3+ TILs further stratifying risk. Multivariate analysis showed that TILs interacted with tumor stage (FoxP3+, P = 0.06; CD3+, P = 0.02) and MS instability (MSI; FoxP3+; P = 0.02). In stage II MS-stable cancers, concomitant low densities of both FoxP3+ and CD3+ TILs identified patients with the highest progression risk in the trial [HR 7.24; 95% confidence interval (CI), 3.41-15.4; P < 0.001] and the validation (HR 15.16; 95% CI, 3.43-66.9; P < 0.001) sets. FoxP3+ and CD3+ TIL load in colorectal cancer was more informative than other prognostic factors before the cancer progressed to lymph nodes. This prognostic information about TILs, including FoxP3+ cells, suggests that randomized controlled trials might be refined to include interactions between TNM status, molecular classifiers, and postsurgical treatments. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 30804005     DOI: 10.1158/2326-6066.CIR-18-0661

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  11 in total

1.  The Alteration of T-Cell Heterogeneity and PD-L1 Colocalization During dMMR Colorectal Cancer Progression Defined by Multiplex Immunohistochemistry.

Authors:  Hongkai Yan; Yaqi Li; Xiaoyu Wang; Juanjuan Qian; Midie Xu; Junjie Peng; Dan Huang
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

2.  Immune-infiltration based signature as a novel prognostic biomarker in gastrointestinal stromal tumour.

Authors:  Zhe-Wei Wei; Jing Wu; Wei-Bin Huang; Jin Li; Xiao-Fang Lu; Yu-Jie Yuan; Wen-Jun Xiong; Xin-Hua Zhang; Wei Wang; Yu-Long He; Chang-Hua Zhang
Journal:  EBioMedicine       Date:  2020-06-20       Impact factor: 8.143

3.  The role of sex in the innate and adaptive immune environment of metastatic colorectal cancer.

Authors:  Anita L Ray; Robert A Nofchissey; Maaz A Khan; Megan A Reidy; Megan R Lerner; Xiangyan Wu; Shaoxuan Guo; Spencer L Hill; Nathaniel Weygant; Sarah F Adams; Eliseo F Castillo; William L Berry; Michael B Stout; Katherine T Morris
Journal:  Br J Cancer       Date:  2020-05-26       Impact factor: 7.640

Review 4.  Immune System, Microbiota, and Microbial Metabolites: The Unresolved Triad in Colorectal Cancer Microenvironment.

Authors:  Michelle Hanus; Daniela Parada-Venegas; Glauben Landskron; Ana Maria Wielandt; Claudia Hurtado; Karin Alvarez; Marcela A Hermoso; Francisco López-Köstner; Marjorie De la Fuente
Journal:  Front Immunol       Date:  2021-03-26       Impact factor: 7.561

Review 5.  Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer.

Authors:  Luigi Laghi; Francesca Negri; Federica Gaiani; Tommaso Cavalleri; Fabio Grizzi; Gian Luigi De' Angelis; Alberto Malesci
Journal:  Int J Mol Sci       Date:  2020-12-18       Impact factor: 5.923

Review 6.  Epithelial to Mesenchymal Transition: A Challenging Playground for Translational Research. Current Models and Focus on TWIST1 Relevance and Gastrointestinal Cancers.

Authors:  Luana Greco; Federica Rubbino; Alessandra Morelli; Federica Gaiani; Fabio Grizzi; Gian Luigi de'Angelis; Alberto Malesci; Luigi Laghi
Journal:  Int J Mol Sci       Date:  2021-10-25       Impact factor: 5.923

Review 7.  Mechanisms of Immune Escape and Resistance to Checkpoint Inhibitor Therapies in Mismatch Repair Deficient Metastatic Colorectal Cancers.

Authors:  Vito Amodio; Gianluca Mauri; Nicole M Reilly; Andrea Sartore-Bianchi; Salvatore Siena; Alberto Bardelli; Giovanni Germano
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

Review 8.  Heterogeneity of Colorectal Cancer Progression: Molecular Gas and Brakes.

Authors:  Federica Gaiani; Federica Marchesi; Francesca Negri; Luana Greco; Alberto Malesci; Gian Luigi de'Angelis; Luigi Laghi
Journal:  Int J Mol Sci       Date:  2021-05-15       Impact factor: 5.923

9.  LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.

Authors:  Jeonghyun Kang; Yoon Jung Choi; Im-Kyung Kim; Hye Sun Lee; Hogeun Kim; Seung Hyuk Baik; Nam Kyu Kim; Kang Young Lee
Journal:  Cancer Res Treat       Date:  2020-12-29       Impact factor: 4.679

10.  Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

Authors:  Cynthia Reichling; Julien Taieb; Valentin Derangere; Quentin Klopfenstein; Karine Le Malicot; Jean-Marc Gornet; Hakim Becheur; Francis Fein; Oana Cojocarasu; Marie Christine Kaminsky; Jean Paul Lagasse; Dominique Luet; Suzanne Nguyen; Pierre-Luc Etienne; Mohamed Gasmi; Andre Vanoli; Hervé Perrier; Pierre-Laurent Puig; Jean-François Emile; Come Lepage; François Ghiringhelli
Journal:  Gut       Date:  2019-11-28       Impact factor: 23.059

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