Park Cheol-Kyu, Oh Hyung-Joo, Kim Min-Seok, Koh Bo-Gun, Cho Hyun-Ju, Kim Young-Chul, Yang Hyung-Jeong, Lee Ji-Young, Chun Sung-Min, Oh In-Jae
Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Jeonnam, Republic of Korea.
Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Republic of Korea.
Transl Lung Cancer Res. 2021 May;10(5):2103-2117. doi: 10.21037/tlcr-21-100.
This study aimed to investigate the feasibility of using circulating tumor cells (CTCs), peripheral blood cells (PBCs), and circulating cell-free DNA (cfDNA) as biomarkers of immune checkpoint inhibitor treatment response in patients with advanced non-small cell lung cancer (NSCLC).
We recruited patients diagnosed with advanced NSCLC who received pembrolizumab or atezolizumab between July 2019 and June 2020. Blood was collected before each treatment cycle (C1-C4) to calculate absolute neutrophil count (ANC), neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), and platelet-to-lymphocyte ratio (PLR). CTCs, isolated using the CD-PRIME system, exhibited EpCAM/CK+/CD45- phenotype in BioViewCCBS. The cfDNA was extracted from plasma at the beginning of C1 and C4.
The durable clinical benefit (DCB) rate among 83 response-evaluable patients was 34%. CTC, PBC, and cfDNA levels at baseline (C1) were not significantly correlated with treatment response, although patients with DCB had lower CTC counts from C2 to C4. However, patients with low NLR, dNLR, PLR, and cfDNA levels at C1 had improved progression-free survival (PFS) and overall survival (OS). Patients with decreased CTC counts from C1 to C2 had higher median PFS (6.2 2.3 months; P=0.078) and OS (not reached 6.8 months, P=0.021) than those with increased CTC counts. Low dNLR (≤2.0) at C1 and decreased CTC counts were independent factors for predicting survival.
Comprehensive analysis of CTC, PBC, and cfDNA levels at baseline and during treatment demonstrated they might be biomarkers for predicting survival benefit. This finding could aid in risk stratification of patients with advanced NSCLC who are undergoing immune checkpoint inhibitor treatment.
本研究旨在探讨使用循环肿瘤细胞(CTC)、外周血细胞(PBC)和循环游离DNA(cfDNA)作为晚期非小细胞肺癌(NSCLC)患者免疫检查点抑制剂治疗反应生物标志物的可行性。
我们招募了在2019年7月至2020年6月期间接受帕博利珠单抗或阿特珠单抗治疗的晚期NSCLC患者。在每个治疗周期(C1 - C4)前采集血液,以计算绝对中性粒细胞计数(ANC)、中性粒细胞与淋巴细胞比值(NLR)、衍生NLR(dNLR)和血小板与淋巴细胞比值(PLR)。使用CD - PRIME系统分离的CTC在BioView CCBS中表现出EpCAM/CK + /CD45 - 表型。在C1和C4开始时从血浆中提取cfDNA。
83例可评估反应的患者中,持久临床获益(DCB)率为34%。基线(C1)时的CTC、PBC和cfDNA水平与治疗反应无显著相关性,尽管DCB患者从C2到C4的CTC计数较低。然而,C1时NLR、dNLR、PLR和cfDNA水平低的患者无进展生存期(PFS)和总生存期(OS)有所改善。从C1到C2的CTC计数下降的患者比CTC计数增加的患者具有更高的中位PFS(6.2 ± 2.3个月;P = 0.078)和OS(未达到对比6.8个月,P = 0.021)。C1时低dNLR(≤2.0)和CTC计数下降是预测生存的独立因素。
对基线和治疗期间的CTC、PBC和cfDNA水平进行综合分析表明,它们可能是预测生存获益的生物标志物。这一发现有助于对接受免疫检查点抑制剂治疗的晚期NSCLC患者进行风险分层。