Projects

PD L1 expression on circulating tumor cells and CTC clusters as a minimal cellular disease in breast cancer patients

Groups and Associations Sreeja Jayant, Gourishankar Aland, Rakesh S Ramesh, Ashok Sabale, Tanvi Deshpande, Shubham Kapse, Gargi Giri, Mansi Gantire, Vikas LEELAVATI BALASAHEB Jadhav, Nirmal Vivek Raut, Muthukumarasamy Karthikeyan, Palanki Satya Dattatreya, Rushabh Kiran Kothari, Sachin Almel, Aravindan Vasudevan, Jayant Khandare- 
Journal Of Clinical Oncology 2025

Abstract

e15036

Background: Tumor-transitioned components, for example, dual biomarkers like ctDNA and circulating tumor cells (CTCs) offer true comprehensive precision insights into tumor microenvironment in real-time. Importantly, minimal cellular residual disease (MCRD), dynamic cell surface protein over-expressions, residual burden measure post-resection with curative intent, adjunct therapy decisions, therapy de-escalations, etc. Like the PD-L1 % CPS score on tissues, the PD-L1 expression measure on CTCs is a higher prospect accounting for epithelial to mesenchymal transitions (EMT), leading to the deactivation of T Cells that may deactivate immune T cells further imparting micro-metastasis cascade is extremely challenging. We report the expression of PD-L1 as a dynamic biomarker on circulating tumor cells across early to late-stage breast cancer patients. Methods: In retrospective analysis, 1294 breast cancer patient’s peripheral blood was analyzed for the presence of CTCs with and without the expression of PD-L1 and CTC clusters. CTCs were enumerated using the OncoDiscover platform approved by CDSCO-India in 1.5 ml peripheral blood, consisting of multi-component magneto-nanosystem mediated by anti-epithelial cellular adhesion molecule (EpCAM) antibody. CTCs were positive with EpCAM +ve, CK18 +ve, DAPI +ve, and CD45-ve. Additionally, PD-L1 expression on the CTCs was measured based on the linear intensity gradients of the fluorescence signals using image acquisition on an automated Zeiss microscope. Further, we developed a computational model to account for CTC mean distribution, regression analysis, and predictability of CTC numbers. Results: The CTC distribution ranged from 1-20 CTCs, per 1.5 ml of patients’ blood. At baseline sample analysis, 73.20% (n = 978) of the patients showed ≥1CTCs. Whereas, 87.69% (n = 406 out of 463) of patients with CTCs showed the expression of PD-L1. Noteworthy, the highest number of CTC was observed at ~21.61% (n = 1125) in the age group 41-50, while the highest number of CTC clusters and CTC with PD-L1 was observed at ~29.08% (n = 41) and ~42.91% (n = 324) in the age group 51-60. Interestingly, 2.71% (n = 141) of total patients showed the presence of CTC clusters. The mean CTC (including clusters) and CTC with PD-L1 are 3.90 and 3.40, respectively. Further, the computational model showed a co-relation of blood-based outcome versus normal probability scores. Conclusions: The notable inter-patient heterogeneity suggests a potential biological, pharmacodynamic, role for both CTC with PD-L1 expression. The larger clinical studies are desired to evaluate PD-L1 expression of CTCs in early-stage cancers. Thus patients possessing MCRD despite the absence of radiographical evidence for stratifying them with a higher risk of metastasis progression.

Book