Login / Signup

Blood-Based Biomarker Analysis for Predicting Efficacy of Chemoradiotherapy and Durvalumab in Patients with Unresectable Stage III Non-Small Cell Lung Cancer.

Cheol-Kyu ParkSung-Woo LeeHyun-Ju ChoHyung-Joo OhYoung-Chul KimYong-Hyub KimSung Ja AhnJae-Ho ChoIn Jae Oh
Published in: Cancers (2023)
We recruited 50 patients with unresectable stage III NSCLC who received CCRT between March 2020 and March 2021. Durvalumab consolidation (DC) was administered to patients ( n = 23) without progression after CCRT and programmed death-ligand 1 (PD-L1) ≥ 1%. Blood samples were collected before (C0) and after CCRT (C1) to calculate PBC counts and analyze CTCs. CTCs, isolated by the CD-PRIME TM system, exhibited EpCAM/CK+/CD45- phenotype in BioViewCCBS TM . At median follow-up of 27.4 months, patients with residual CTC clusters at C1 had worse median PFS than those without a detectable CTC cluster (11.0 vs. 27.8 months, p = 0.032), and this trend was noted only in the DC group ( p = 0.034). Patients with high platelets at C1 (PLT hi , >252 × 10 3 /µL) had worse median PFS than those with low platelets (PLT lo ) (5.9 vs. 17.1 months, p < 0.001). In multivariable analysis, PLT hi and residual CTC clusters at C1 were independent risk factors for PFS, and DC group with PLT hi and residual CTC clusters at C1 showed the worst median PFS (2.6 months, HR 45.16, p = 0.001), even worse than that of the CCRT alone group with PLT hi (5.9 months, HR 15.39, p = 0.001). The comprehensive analysis of CTCs and PBCs before and after CCRT revealed that the clearance of CTC clusters and platelet counts at C1 might be potential biomarkers for predicting survival.
Keyphrases