Literature DB >> 31227501

Prognostic Implications of PD-L1 Expression in Breast Cancer: Systematic Review and Meta-analysis of Immunohistochemistry and Pooled Analysis of Transcriptomic Data.

Antonios Valachis1, Theodoros Foukakis2,3, Alexios Matikas4,3, Ioannis Zerdes3, John Lövrot3, François Richard5, Christos Sotiriou5, Jonas Bergh2,3.   

Abstract

PURPOSE: Conflicting data have been reported on the prognostic value of PD-L1 protein and gene expression in breast cancer.Experimental Design: Medline, Embase, Cochrane Library, and Web of Science Core Collection were searched, and data were extracted independently by two researchers. Outcomes included pooled PD-L1 protein positivity in tumor cells, immune cells, or both, per subtype and per antibody used, and its prognostic value for disease-free and overall survival. A pooled gene expression analysis of 39 publicly available transcriptomic datasets was also performed.
RESULTS: Of the initial 4,184 entries, 38 retrospective studies fulfilled the predefined inclusion criteria. The overall pooled PD-L1 protein positivity rate was 24% (95% CI, 15%-33%) in tumor cells and 33% (95% CI, 14%- 56%) in immune cells. PD-L1 protein expression in tumor cells was prognostic for shorter overall survival (HR, 1.63; 95% CI, 1.07-2.46; P = 0.02); there was significant heterogeneity (I2 = 80%, P heterogeneity < 0.001). In addition, higher PD-L1 gene expression predicted better survival in multivariate analysis in the entire population (HR, 0.82; 95% CI, 0.74-0.90; P < 0.001 for OS) and in basal-like tumors (HR, 0.64; 95% CI, 0.52-0.80; P < 0.001 for OS; P interaction 0.005).
CONCLUSIONS: The largest to our knowledge meta-analysis on the subject informs on PD-L1 protein positivity rates and its prognostic value in breast cancer. Standardization is needed prior to routine implementation. PD-L1 gene expression is a promising prognostic factor, especially in basal-like breast cancer. Discrepant prognostic information might be related to PD-L1 gene expression in the stroma. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31227501     DOI: 10.1158/1078-0432.CCR-19-1131

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

Review 1.  Seeing the forest and the tree: TILs and PD-L1 as immune biomarkers.

Authors:  Peter Savas; Roberto Salgado; Sherene Loi
Journal:  Breast Cancer Res Treat       Date:  2021-09-06       Impact factor: 4.872

2.  Efficacy and predictive factors of immune checkpoint inhibitors in metastatic breast cancer: a systematic review and meta-analysis.

Authors:  Yutian Zou; Xuxiazi Zou; Shaoquan Zheng; Hailin Tang; Lijuan Zhang; Peng Liu; Xiaoming Xie
Journal:  Ther Adv Med Oncol       Date:  2020-08-17       Impact factor: 8.168

3.  Circulating Levels of PD-L1 in Mesothelioma Patients from the NIBIT-MESO-1 Study: Correlation with Survival.

Authors:  Carla Chiarucci; Sara Cannito; Maria Grazia Daffinà; Giovanni Amato; Gianluca Giacobini; Ornella Cutaia; Maria Fortunata Lofiego; Carolina Fazio; Diana Giannarelli; Riccardo Danielli; Anna Maria Di Giacomo; Sandra Coral; Luana Calabrò; Michele Maio; Alessia Covre
Journal:  Cancers (Basel)       Date:  2020-02-05       Impact factor: 6.639

4.  PD-1 protein and gene expression as prognostic factors in early breast cancer.

Authors:  Alexios Matikas; Ioannis Zerdes; John Lövrot; Emmanouil Sifakis; Francois Richard; Christos Sotiriou; Georgios Rassidakis; Jonas Bergh; Antonis Valachis; Theodoros Foukakis
Journal:  ESMO Open       Date:  2020-11

5.  Tissue Immune Profile: A Tool to Predict Response to Neoadjuvant Therapy in Triple Negative Breast Cancer.

Authors:  Bruna Cerbelli; Simone Scagnoli; Silvia Mezi; Alessandro De Luca; Simona Pisegna; Maria Ida Amabile; Michela Roberto; Lucio Fortunato; Leopoldo Costarelli; Angelina Pernazza; Lidia Strigari; Carlo Della Rocca; Paolo Marchetti; Giulia d'Amati; Andrea Botticelli
Journal:  Cancers (Basel)       Date:  2020-09-16       Impact factor: 6.639

6.  Tumor stromal type is associated with stromal PD-L1 expression and predicts outcomes in breast cancer.

Authors:  Qinglian Zhai; Jiawen Fan; Qiulian Lin; Xia Liu; Jinting Li; Ruoxi Hong; Shusen Wang
Journal:  PLoS One       Date:  2019-10-04       Impact factor: 3.240

7.  Programmed death-ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21-gene and 70-gene signatures in estrogen receptor-positive disease.

Authors:  Ioannis Zerdes; Emmanouil G Sifakis; Alexios Matikas; Sebastian Chrétien; Nicholas P Tobin; Johan Hartman; George Z Rassidakis; Jonas Bergh; Theodoros Foukakis
Journal:  Mol Oncol       Date:  2020-03-20       Impact factor: 6.603

8.  Conducting a Virtual Clinical Trial in HER2-Negative Breast Cancer Using a Quantitative Systems Pharmacology Model With an Epigenetic Modulator and Immune Checkpoint Inhibitors.

Authors:  Hanwen Wang; Richard J Sové; Mohammad Jafarnejad; Sondra Rahmeh; Elizabeth M Jaffee; Vered Stearns; Evanthia T Roussos Torres; Roisin M Connolly; Aleksander S Popel
Journal:  Front Bioeng Biotechnol       Date:  2020-02-25

9.  Identification and validation of a combined hypoxia and immune index for triple-negative breast cancer.

Authors:  Shaoquan Zheng; Yutian Zou; Jie-Ying Liang; Weikai Xiao; Anli Yang; Tiebao Meng; Shilin Lu; Zhongbing Luo; Xiaoming Xie
Journal:  Mol Oncol       Date:  2020-07-01       Impact factor: 7.449

10.  Immune parameters associated with survival in metaplastic breast cancer.

Authors:  Xue Chao; Lili Liu; Peng Sun; Xia Yang; Mei Li; Rongzhen Luo; Yuhua Huang; Jiehua He; Jingping Yun
Journal:  Breast Cancer Res       Date:  2020-08-18       Impact factor: 6.466

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