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Peripheral Cytokine Levels as Predictive Biomarkers of Benefit from Immune Checkpoint Inhibitors in Cancer Therapy

34 Pages Posted: 16 Jul 2020

See all articles by Shoujian Ji

Shoujian Ji

Government of the People's Republic of China - Department of GI Oncology

Huan Chen

Genecast Precision Medicine Technology Institute

Keyan Yang

Genecast Precision Medicine Technology Institute

Guanxiong Zhang

Genecast Precision Medicine Technology Institute

Beibei Mao

Genecast Precision Medicine Technology Institute

Ying Hu

Genecast Precision Medicine Technology Institute

Henghui Zhang

Capital Medical University - Institute of Infectious Diseases; Genecast Precision Medicine Technology Institute

Jianming Xu

Government of the People's Republic of China - Department of GI Oncology

More...

Abstract

Background : Currently, only a small subset of cancer patients can benefit from anti-PD-1/PD-L1 monotherapy, indicating that further predictive biomarkers are needed.

Methods: In the retrospective study, plasma samples were collected before anti-PD-L1/PD-L1 treatment in two subset of patients. A total of 59 immunological factors, including cytokines, chemokines, and soluble immune checkpoints, were measured by using a multiplex immunoassay kit. Moreover, multiplex immunohistochemistry (mIHC) was performed in a subgroup of patients.

Findings: In the discovery cohort, multiplex immunoassay profiling data revealed that both soluble PD-L1 and C-C motif chemokine 5 (CCL5/RANTES) showed rising trends across the three subgroups PD, SD and CR/PR. Further investigation demonstrated the predictive and prognostic value of the pre-treatment levels of PD-L1, CCL5/RANTES, and their combinatorial signature the “2-cytokine signature”. As expected, the signature-high patients displayed a remarkably increased disease control rate (DCR) and prolonged survival versus that of the lower subgroup. More importantly, the relevance between the three signatures and the efficiency of immunotherapy was confirmed in the pan-cancer validation cohort. Notably, the significant association between the “2-cytokine signature” and longer survival was validated. Further quantitative analyses of the tumor microenvironment composition suggested a link between the “2-cytokine signature” and NK cell infiltration.

Interpretation: A combined peripheral signature comprising CCL5/RANTES and soluble PD-L1 appears to be an effective biomarker to predict benefit from anti-PD-1/PD-L1 monotherapy. Our study underscores that peripheral immunological features may play an essential role in guiding patient selection and are worthy of future prospective investigations.

Funding: This work was supported by The National Key Sci-Tech Special Project of China (No. 2018ZX10302207).

Declaration of Interests: HZ has received research funding from The National Key Sci-Tech Special Project of China. The remaining authors declare no competing financial interests.

Ethics Approval Statement: This study was approved by the Internal Review and the Ethics Boards of the Fifth Medical Center, General Hospital of the PLA and were performed in accordance with the Declaration of Helsinki. Written informed consent was obtained from each patient.

Keywords: immune checkpoint inhibitor; biomarker, cytokine; chemokine (C-C motif) ligand 5; programmed cell death ligand 1

Suggested Citation

Ji, Shoujian and Chen, Huan and Yang, Keyan and Zhang, Guanxiong and Mao, Beibei and Hu, Ying and Zhang, Henghui and Xu, Jianming, Peripheral Cytokine Levels as Predictive Biomarkers of Benefit from Immune Checkpoint Inhibitors in Cancer Therapy (4/15/2020). Available at SSRN: https://ssrn.com/abstract=3578741 or http://dx.doi.org/10.2139/ssrn.3578741

Shoujian Ji

Government of the People's Republic of China - Department of GI Oncology

China

Huan Chen

Genecast Precision Medicine Technology Institute ( email )

Beijing
China

Keyan Yang

Genecast Precision Medicine Technology Institute

Beijing
China

Guanxiong Zhang

Genecast Precision Medicine Technology Institute

Beijing
China

Beibei Mao

Genecast Precision Medicine Technology Institute

Beijing
China

Ying Hu

Genecast Precision Medicine Technology Institute

Beijing
China

Henghui Zhang (Contact Author)

Capital Medical University - Institute of Infectious Diseases ( email )

Beijing, 100015
China

Genecast Precision Medicine Technology Institute ( email )

Beijing
China

Jianming Xu

Government of the People's Republic of China - Department of GI Oncology ( email )

China

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