Comprehensive analysis of blood-based biomarkers for predicting immunotherapy benefits in patients with advanced non-small cell lung cancer

15Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

Background: 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). Methods: 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-PRIMETM system, exhibited EpCAM/ CK+/CD45− phenotype in BioViewCCBSTM. The cfDNA was extracted from plasma at the beginning of C1 and C4. Results: 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 vs. 2.3 months; P=0.078) and OS (not reached vs. 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. Conclusions: 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.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Park, C. K., Oh, H. J., Kim, M. S., Koh, B. G., Cho, H. J., Kim, Y. C., … Oh, I. J. (2021). Comprehensive analysis of blood-based biomarkers for predicting immunotherapy benefits in patients with advanced non-small cell lung cancer. Translational Lung Cancer Research, 10(5), 2103–2117. https://doi.org/10.21037/tlcr-21-100

Readers over time

‘21‘22‘23‘24‘2505101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 11

73%

Researcher 4

27%

Readers' Discipline

Tooltip

Medicine and Dentistry 7

58%

Biochemistry, Genetics and Molecular Bi... 2

17%

Immunology and Microbiology 2

17%

Materials Science 1

8%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 17

Save time finding and organizing research with Mendeley

Sign up for free
0