Cellular Expression of PD-L1 in the Peripheral Blood of Lung Cancer Patients is Associated with Worse Survival

Background: Lung cancer treatment has become increasingly dependent upon invasive biopsies to profile tumors for personalized therapy. Recently, tumor expression of programmed death-ligand 1 (PD-L1) has gained interest as a potential predictor of response to immunotherapy. Circulating biomarkers present an opportunity for tumor profiling without the risks of invasive procedures. We characterized PD-L1 expression within populations of nucleated cells in the peripheral blood of lung cancer patients in hopes of expanding the role of liquid biopsy in this setting. Methods: Peripheral blood samples from a multi-institutional prospective study of patients with clinical diagnosis of lung cancer were subjected to cytomorphometric and immunohistochemical evaluation using single-cell, automated slide-based, digital pathology. PD-L1 expression was determined by immunofluorescence. Results: PD-L1 expression was detected within peripheral circulating cells associated with malignancy (CCAM) in 26 of 112 (23%) non–small cell lung cancer patients. Two distinct populations of nucleated, nonhematolymphoid, PD-L1–expressing cells were identified; cytokeratin positive (CK+, PD-L1+, CD45−) and cytokeratin negative (CK−, PD-L1+, CD45−) cells, both with cytomorphometric features (size, nuclear-to-cytoplasm ratio) consistent with tumor cells. Patients with >1.1 PD-L1(+) cell/mL (n = 14/112) experienced worse overall survival than patients with ≤1.1 PD-L1(+) cell/mL (2-year OS: 31.2% vs. 78.8%, P = 0.00159). In a Cox model adjusting for stage, high PD-L1(+) cell burden remained a significant predictor of mortality (HR = 3.85; 95% confidence interval, 1.64–9.09; P = 0.002). Conclusions: PD-L1 expression is detectable in two distinct cell populations in the peripheral blood of lung cancer patients and is associated with worse survival. Impact: These findings could represent a step forward in the development of minimally invasive liquid biopsies for the profiling of tumors. Cancer Epidemiol Biomarkers Prev; 26(7); 1139–45. ©2017 AACR.

[1]  J. Taube,et al.  A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non–Small Cell Lung Cancer , 2017, JAMA oncology.

[2]  P. Baas,et al.  Pembrolizumab for the treatment of non-small cell lung cancer , 2017, Expert review of anticancer therapy.

[3]  E. Richardsen,et al.  Assessing PDL‐1 and PD‐1 in Non–Small Cell Lung Cancer: A Novel Immunoscore Approach , 2017, Clinical lung cancer.

[4]  Carlos Barrios,et al.  Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial , 2017, The Lancet.

[5]  Masafumi Nakamura,et al.  The combination of PD-L1 expression and decreased tumor-infiltrating lymphocytes is associated with a poor prognosis in triple-negative breast cancer , 2017, Oncotarget.

[6]  A. Satelli,et al.  Potential role of nuclear PD-L1 expression in cell-surface vimentin positive circulating tumor cells as a prognostic marker in cancer patients , 2016, Scientific Reports.

[7]  H. Beltran,et al.  The Initial Detection and Partial Characterization of Circulating Tumor Cells in Neuroendocrine Prostate Cancer , 2015, Clinical Cancer Research.

[8]  C. Rudin,et al.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer. , 2015, The New England journal of medicine.

[9]  Olfat Al-Harazi,et al.  Bidirectional crosstalk between PD-L1 expression and epithelial to mesenchymal transition: Significance in claudin-low breast cancer cells , 2015, Molecular Cancer.

[10]  L. Crinò,et al.  Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer. , 2015, The New England journal of medicine.

[11]  Jian Huang,et al.  PD-L1 and Survival in Solid Tumors: A Meta-Analysis , 2015, PloS one.

[12]  Xiaoling Chen,et al.  Circulating PD-L1 in NSCLC patients and the correlation between the level of PD-L1 expression and the clinical characteristics , 2015, Thoracic cancer.

[13]  David S. K. Lu,et al.  Programmed death-ligand 1 (PD-L1) characterization of circulating tumor cells (CTCs) and white blood cells (WBCs) in muscle invasive and metastatic bladder cancer patients. , 2015 .

[14]  Razelle Kurzrock,et al.  PD-L1 Expression as a Predictive Biomarker in Cancer Immunotherapy , 2015, Molecular Cancer Therapeutics.

[15]  M. Landers,et al.  Analytical Validation and Capabilities of the Epic CTC Platform: Enrichment-Free Circulating Tumour Cell Detection and Characterization , 2015, Journal of circulating biomarkers.

[16]  Lixia Diao,et al.  Metastasis is regulated via microRNA-200/ZEB1 axis control of tumor cell PD-L1 expression and intratumoral immunosuppression , 2014, Nature Communications.

[17]  G. Silverman,et al.  Programmed death-1 pathway in cancer and autoimmunity. , 2014, Clinical immunology.

[18]  I. Melero,et al.  Orchestrating immune check-point blockade for cancer immunotherapy in combinations. , 2014, Current opinion in immunology.

[19]  T. Okazaki,et al.  A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application , 2013, Nature Immunology.

[20]  Wai Leong Tam,et al.  The epigenetics of epithelial-mesenchymal plasticity in cancer , 2013, Nature Medicine.

[21]  F. Soares,et al.  Cytokeratin-based CTC counting unrelated to clinical follow up. , 2013, Journal of thoracic disease.

[22]  M. Razzak From ASCO—targeted therapies: Anti-PD-1 approaches—important steps forward in metastatic melanoma , 2013, Nature Reviews Clinical Oncology.

[23]  R. Weinberg,et al.  Cancer stem cells and epithelial-mesenchymal transition: concepts and molecular links. , 2012, Seminars in cancer biology.

[24]  K. Pantel,et al.  Circulating epithelial cells in patients with benign colon diseases. , 2012, Clinical chemistry.

[25]  Peter Kuhn,et al.  Characterization of circulating tumor cell aggregates identified in patients with epithelial tumors , 2012, Physical biology.

[26]  Joshua M. Kunken,et al.  Fluid biopsy in patients with metastatic prostate, pancreatic and breast cancers , 2012, Physical biology.

[27]  Mateus Crespo,et al.  Reporting the Capture Efficiency of a Filter-Based Microdevice: A CTC Is Not a CTC Unless It Is CD45 Negative—Letter , 2011, Clinical Cancer Research.

[28]  Caroline Dive,et al.  Evaluation and prognostic significance of circulating tumor cells in patients with non-small-cell lung cancer. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  Torsten Hothorn,et al.  On the Exact Distribution of Maximally Selected Rank Statistics , 2002, Comput. Stat. Data Anal..

[30]  J. Austin,et al.  Complications after CT-guided needle biopsy through aerated versus nonaerated lung. , 1991, Radiology.