Shay Behrens, Whitney Leet Do, Limin Wang, Mahler Revsine, Evan Maestri, Aleesha Jacob, Ching-Wen Chang, Marshonna Forgues, Atlas Mashayekhi Sardoo, Anuradha Budhu, Josepmaria Argemí, Miguel Sogbe, Bruno Sangro, Tim F Greten, Xin Wei Wang
{"title":"Pan-microbial serological repertoire as a biomarker of immunotherapy response in hepatocellular carcinoma.","authors":"Shay Behrens, Whitney Leet Do, Limin Wang, Mahler Revsine, Evan Maestri, Aleesha Jacob, Ching-Wen Chang, Marshonna Forgues, Atlas Mashayekhi Sardoo, Anuradha Budhu, Josepmaria Argemí, Miguel Sogbe, Bruno Sangro, Tim F Greten, Xin Wei Wang","doi":"10.1136/jitc-2025-011742","DOIUrl":null,"url":null,"abstract":"<p><p>Immune checkpoint inhibition (ICI) has become a first-line treatment strategy for advanced hepatocellular carcinoma (HCC). However, treatment efficacy remains varied, and there are no reliable biomarkers of response. We used phage immunoprecipitation sequencing technology to measure circulating viral and bacterial antibodies as a biomarker of ICI response. The XGBoost Cox-proportional hazard model identified 23 viral and bacterial strains associated with survival. An antigen score developed from the 23 reactive microbial peptides significantly predicted overall survival (HR: 81.7, [95% CI]: 9.88 to 10,690.96, p<0.0001) and a high antigen score was predictive of progressive disease (HR: 4.03, [95% CI]: 0.78 to 20.87, p=0.09). The time-dependent area under the curve was 0.8 at 1 year. Findings were validated in an independent cohort and confirmed the antigen score association with survival (HR: 2.38, [95% CI 0.98 to 5.76, p=0.055). Our results suggest a unique microbial reactivity profile may serve as a potential biomarker of ICI response in patients with HCC.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 10","pages":""},"PeriodicalIF":10.6000,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12542701/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Immunotherapy of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jitc-2025-011742","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Immune checkpoint inhibition (ICI) has become a first-line treatment strategy for advanced hepatocellular carcinoma (HCC). However, treatment efficacy remains varied, and there are no reliable biomarkers of response. We used phage immunoprecipitation sequencing technology to measure circulating viral and bacterial antibodies as a biomarker of ICI response. The XGBoost Cox-proportional hazard model identified 23 viral and bacterial strains associated with survival. An antigen score developed from the 23 reactive microbial peptides significantly predicted overall survival (HR: 81.7, [95% CI]: 9.88 to 10,690.96, p<0.0001) and a high antigen score was predictive of progressive disease (HR: 4.03, [95% CI]: 0.78 to 20.87, p=0.09). The time-dependent area under the curve was 0.8 at 1 year. Findings were validated in an independent cohort and confirmed the antigen score association with survival (HR: 2.38, [95% CI 0.98 to 5.76, p=0.055). Our results suggest a unique microbial reactivity profile may serve as a potential biomarker of ICI response in patients with HCC.
期刊介绍:
The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.