ABSTRACT
BACKGROUND: Successful application of programmed death 1 (PD1) checkpoint inhibitors in the clinic may ultimately benefit from appropriate patient selection based upon predictive biomarkers. Molecular characterization of circulating tumor cells (CTC) is crucial for the investigation of molecular-targeted therapies while predictive biomarkers for response to PD1 checkpoint inhibitors are lacking. We sought to assess whether overexpression of PD-L1 in CTCs could be detected at baseline and at different timepoints during treatment in a prospective cohort of head and neck squamous cell carcinoma (HNSCC) patients and used to predict clinical outcome after treatment with curative intent. PATIENTS AND METHODS: We developed a highly sensitive, specific and robust RT-qPCR assay for PD-L1 mRNA expression in EpCAM(+) CTCs. In a prospective cohort of 113 locally advanced HNSCC patients treated with curative intent we evaluated PD-L1 expression in the EpCAM(+) CTC fraction at baseline, after 2 cycles of induction chemotherapy (week 6) and at the end of concurrent chemoradiotherapy (week 15). RESULTS: PD-L1 overexpression was found in 24/94 (25.5%) patients at baseline, 8/34 (23.5%) after induction chemotherapy and 12/54 (22.2%) patients at the end of treatment. Patients with CTCs overexpressing PD-L1 at end of treatment had shorter progression-free survival (P = 0.001) and overall survival (P < 0.001). Multivariate analysis revealed that PD-L1 overexpression at end of treatment was independent prognostic factor for progression-free survival and overall survival. The absence of PD-L1 overexpression at the end of treatment was strongly associated with complete response with an odds ratio = 16.00 (95% CI = 2.76-92.72, P = 0.002). CONCLUSIONS: We demonstrate that detection of CTCs overexpressing PD-L1 is feasible and may provide important prognostic information in HNSCC. Our results suggest that adjuvant PD1 inhibitors deserve evaluation in HNSCC patients in whom PD-L1(+) CTCs are detected at the end of curative treatment.
Subject(s)
B7-H1 Antigen/metabolism , Carcinoma, Squamous Cell/blood , Head and Neck Neoplasms/blood , Neoplastic Cells, Circulating/metabolism , Aged , B7-H1 Antigen/genetics , Carcinoma, Squamous Cell/pathology , Female , Head and Neck Neoplasms/pathology , Humans , Limit of Detection , Male , Middle Aged , Polymerase Chain Reaction , Prognosis , Reproducibility of Results , Squamous Cell Carcinoma of Head and Neck , Survival AnalysisABSTRACT
BACKGROUND: Liquid biopsy is based on minimally invasive blood tests and has the potential to characterize the evolution of a solid tumor in real time, by extracting molecular information from circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA). Epigenetic silencing of tumor and metastasis suppressor genes plays a key role in survival and metastatic potential of cancer cells. Our group was the first to show the presence of epigenetic alterations in CTCs. METHODS: We present the development and analytical validation of a highly specific and sensitive Multiplex Methylation Specific PCR-coupled liquid bead array (MMSPA) for the simultaneous detection of the methylation status of three tumor and metastasis suppressor genes (CST6, SOX17 and BRMS1) in liquid biopsy material (CTCs, corresponding ctDNA) and paired primary breast tumors. RESULTS: In the EpCAM-positive CTCs fraction we observed methylation of: a) CST6, in 11/30(37%) and 11/30(37%), b) BRMS1 in 8/30(27%) and 11/30(37%) c) SOX17 in 8/30(27%) and 13/30(43%) early breast cancer patients and patients with verified metastasis respectively. In ctDNA we observed methylation of: a) CST6, in 5/30(17%) and 10/31(32%), b) BRMS1 in 8/30 (27%) and 8/31 (26%) c) SOX17 in 5/30(17%) and 13/31(42%) early breast cancer patients and patients with verified metastasis respectively. CONCLUSIONS: Our results indicate a high cancerous load at the epigenetic level in EpCAM-positive CTCs fractions and corresponding ctDNA in breast cancer. The main principle of the developed methodology has the potential to be extended in a large number of gene-targets and be applied in many types of cancer.