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Translational potential of the interleukin-6/interleukin-10 ratio for immune monitoring after radiofrequency ablation
Shu-Qi Ren, Department of Laboratory Medicine, Zhongshan City Hospital of Integration of TCM & Western Medicine, Zhongshan 528467, Guangdong Province, China
Chuang Cai, Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan 528445, Guangdong Province, China
Author contributions: Ren SQ conceived the review and drafted the initial manuscript; Ren SQ and Cai C were responsible for literature collation, made substantial contributions to this manuscript, edited and finalized the manuscript for submission; all authors reviewed and approved the submitted manuscript.
AI contribution statement: All academic viewpoints, framework construction, literature collation and core content of this opinion review are independently finished by the authors. We only used AI tools for logical transition adjustment, sentence polishing and Chinese-English translation revision based on my original Chinese draft, and the manuscript has been further manually edited by a professional language polishing company.
Supported by Zhongshan Science and Technology Bureau, 2022, No. 2022B1073; and Zhongshan Science and Technology Bureau, 2023, No. 2023B1033.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
Corresponding author: Chuang Cai, PhD, Cancer Research Institute of Zhongshan City, Zhongshan City People’s Hospital, No. 2 Sunwen East Road, Zhongshan 528445, Guangdong Province, China. caich6@foxmail.com
Received: December 23, 2025
Revised: January 6, 2026
Accepted: February 4, 2026
Published online: July 27, 2026
Processing time: 213 Days and 23.4 Hours
Revised: January 6, 2026
Accepted: February 4, 2026
Published online: July 27, 2026
Processing time: 213 Days and 23.4 Hours
Core Tip
Core Tip: The interleukin (IL)-6/IL-10 ratio stands for an important biological marker of immune abnormality after radio frequency ablation. It independently predicts bad results and thus gives a new direction for postoperative immune observation and risk classification in liver cancer patients.