Literature DB >> 29045526

LAG-3+ tumor infiltrating lymphocytes in breast cancer: clinical correlates and association with PD-1/PD-L1+ tumors.

S Burugu1,2, D Gao1, S Leung1, S K Chia3, T O Nielsen1,2.   

Abstract

BACKGROUND: Novel immune checkpoint blockade strategies are being evaluated in clinical trials and include targeting the lymphocyte activation gene 3 (LAG-3) checkpoint, alone or in combination with PD-1/PD-L1 blockade. We investigated LAG-3 expression and its prognostic value in a large series of breast cancer patients, and correlated LAG-3 expression with key biomarkers including PD-1 and PD-L1. EXPERIMENTAL
DESIGN: LAG-3 expression was evaluated by immunohistochemistry on two tissue microarray series incorporating 4322 breast cancer primary excision specimens (N = 330 in the training and N= 3992 in the validation set) linked to detailed clinicopathologic, biomarker and long-term clinical outcome data. PD-1 and PD-L1 expressions were also evaluated by immunohistochemistry. Stromal or intra-epithelial tumor infiltrating lymphocytes (sTILs or iTILs) expressing LAG-3 or PD-1 were assessed by absolute count. PD-L1 expression was evaluated as the percentage of positive carcinoma cells per core. Kaplan-Meier curves and Cox proportional hazard models were used for survival analyses.
RESULTS: After locking down interpretation cut-offs on the training set, LAG-3+ iTILs were found in 11% of cases in the validation set. In both sets, LAG-3+ iTILs were significantly associated with negative prognostic factors: young age, large tumor size, high proliferation, HER2E and basal-like breast cancer subtypes. In multivariate analyses, breast cancer patients with LAG-3+ iTILs had a significantly improved breast cancer-specific survival [hazard ratio (HR): 0.71, 95% CI 0.56-0.90], particularly among estrogen receptor-negative patients (HR: 0.50, 95% CI 0.36-0.69). Furthermore, we found that 53% of PD-L1+ and 61% of PD-1+ cases were also positive for LAG-3+ iTILs. Concurrent infiltration of LAG-3+ and CD8+ iTILs was significantly associated with increased breast cancer-specific survival (HR: 0.49, 95% CI 0.32-0.74).
CONCLUSION: LAG-3+ iTILs are enriched in estrogen receptor-negative breast cancers and represent an independent favorable prognostic factor. In addition, a high proportion of PD-1/PD-L1+ tumors are co-infiltrated with LAG-3+ TILs, supporting potential immune checkpoint blockade combination strategies as a treatment option for breast cancer patients.
© The Author 2017. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  LAG-3; breast cancer; immune checkpoints; immuno-oncology; immunohistochemistry

Mesh:

Substances:

Year:  2017        PMID: 29045526     DOI: 10.1093/annonc/mdx557

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  61 in total

Review 1.  The Role of Immune Escape and Immune Cell Infiltration in Breast Cancer.

Authors:  André Steven; Barbara Seliger
Journal:  Breast Care (Basel)       Date:  2018-02-02       Impact factor: 2.860

Review 2.  Immune Checkpoint Imaging in Oncology: A Game Changer Toward Personalized Immunotherapy?

Authors:  Susanne Lütje; Georg Feldmann; Markus Essler; Peter Brossart; Ralph A Bundschuh
Journal:  J Nucl Med       Date:  2020-01-10       Impact factor: 10.057

3.  A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging.

Authors:  Leeat Keren; Marc Bosse; Diana Marquez; Roshan Angoshtari; Samir Jain; Sushama Varma; Soo-Ryum Yang; Allison Kurian; David Van Valen; Robert West; Sean C Bendall; Michael Angelo
Journal:  Cell       Date:  2018-09-06       Impact factor: 41.582

4.  Breast cancer: LAG3 expression indicates favourable outcomes.

Authors:  Peter Sidaway
Journal:  Nat Rev Clin Oncol       Date:  2017-10-10       Impact factor: 66.675

5.  Molecular, clinicopathological, and immune correlates of LAG3 promoter DNA methylation in melanoma.

Authors:  Anne Fröhlich; Judith Sirokay; Simon Fietz; Timo J Vogt; Jörn Dietrich; Romina Zarbl; Mike Florin; Pia Kuster; Gonzalo Saavedra; Susana Ramírez Valladolid; Friederike Hoffmann; Lukas Flatz; Sandra S Ring; Carsten Golletz; Torsten Pietsch; Sebastian Strieth; Peter Brossart; Gerrit H Gielen; Glen Kristiansen; Friedrich Bootz; Jennifer Landsberg; Dimo Dietrich
Journal:  EBioMedicine       Date:  2020-08-30       Impact factor: 8.143

Review 6.  Immune microenvironment in different molecular subtypes of ductal breast carcinoma.

Authors:  Mona Sadeghalvad; Hamid-Reza Mohammadi-Motlagh; Nima Rezaei
Journal:  Breast Cancer Res Treat       Date:  2020-10-03       Impact factor: 4.872

7.  Immune Checkpoint Profiles in Luminal B Breast Cancer (Alliance).

Authors:  Meenakshi Anurag; Mayanne Zhu; Chen Huang; Suhas Vasaikar; Junkai Wang; Jeremy Hoog; Samantha Burugu; Dongxia Gao; Vera Suman; Xiang H Zhang; Bing Zhang; Torsten Nielsen; Matthew J Ellis
Journal:  J Natl Cancer Inst       Date:  2020-07-01       Impact factor: 13.506

8.  Does selected immunological panel possess the value of predicting the prognosis of early-stage resectable non-small cell lung cancer?

Authors:  Xiaoshen Zhang; Yayi He; Keyi Jia; Rafal Dziadziuszko; Sha Zhao; Juan Deng; Hao Wang; Fred R Hirsch; Caicun Zhou
Journal:  Transl Lung Cancer Res       Date:  2019-10

9.  Evaluation of glucocorticoid-induced TNF receptor (GITR) expression in breast cancer and across multiple tumor types.

Authors:  Mayanne M T Zhu; Samantha Burugu; Dongxia Gao; Jamie Yu; Zuzana Kos; Samuel Leung; Basil A Horst; Torsten O Nielsen
Journal:  Mod Pathol       Date:  2020-04-29       Impact factor: 7.842

Review 10.  Understanding LAG-3 Signaling.

Authors:  Luisa Chocarro; Ester Blanco; Miren Zuazo; Hugo Arasanz; Ana Bocanegra; Leticia Fernández-Rubio; Pilar Morente; Gonzalo Fernández-Hinojal; Miriam Echaide; Maider Garnica; Pablo Ramos; Ruth Vera; Grazyna Kochan; David Escors
Journal:  Int J Mol Sci       Date:  2021-05-17       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.