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BAP1 as a predictive biomarker of therapeutic response to oncolytic vaccinia virus for metastatic renal cell carcinoma therapy

Authors
 Park, Jee Soo  ;  Jang, Won Sik  ;  Lee, Myung Eun  ;  Kim, Jongchan  ;  Oh, Keunhee  ;  Lee, Namhee  ;  Ham, Won Sik 
Citation
 CANCER IMMUNOLOGY IMMUNOTHERAPY, Vol.74(9) : 282, 2025-08 
Journal Title
CANCER IMMUNOLOGY IMMUNOTHERAPY
ISSN
 0340-7004 
Issue Date
2025-08
Keywords
BAP1 ; Oncolytic vaccinia virus ; Predictive biomarker ; Pexastimogene devacirepvec (pexa-vec) ; Renal cell carcinoma
Abstract
BackgroundThe therapeutic efficacy of oncolytic vaccinia virus (JX-594) has been demonstrated in metastatic clear cell renal cell carcinoma (ccRCC); however, only selected patients respond, and there are no predictive biomarkers for therapeutic response. We aimed to identify predictive biomarkers for JX-594 treatment and elucidate the underlying mechanisms.MethodsFour cell line-derived xenograft (CDX) models were developed using representative ccRCC cell lines harboring common mutations. Tumors were subcutaneously implanted into the right flank of BALB/c nude mice. Mice were treated with vehicle or JX-594 via intratumoral injection on days 0, 3, and 6, and tumor growth was evaluated. Therapeutic efficacies of JX-594 and a STING agonist were compared in the BAP1-mutant (769-P) CDX model.ResultsAll four CDX models showed significant tumor shrinkage following JX-594 treatment versus control. JX-594 exhibited greater efficacy than the STING agonist in BAP1-deficient xenografts. The BAP1 mutation was associated with rapid tumor progression and a stronger response to JX-594. JX-594 induced IFN-beta expression through IRF7-dependent signaling in BAP1-deficient cells, bypassing impaired STING-IRF3 signaling.ConclusionsWe identified BAP1 as a potential predictive biomarker for JX-594 treatment and explored its underlying mechanisms. However, given that the study used immunodeficient models, the findings reflect tumor-intrinsic interferon responses and require further validation in immunocompetent models to assess immune microenvironment modulation and clinical relevance.
Full Text
https://link.springer.com/article/10.1007/s00262-025-04139-4
DOI
10.1007/s00262-025-04139-4
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kim, Jong Chan(김종찬) ORCID logo https://orcid.org/0000-0002-0022-6689
Park, Jee Soo(박지수) ORCID logo https://orcid.org/0000-0001-9976-6599
Lee, Myung Eun(이명은)
Jang, Won Sik(장원식) ORCID logo https://orcid.org/0000-0002-9082-0381
Ham, Won Sik(함원식) ORCID logo https://orcid.org/0000-0003-2246-8838
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/207324
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