{"title":"KPNA2 expression as a biomarker for immunosuppressive microenvironment predicting response to TKI and immunotherapy in metastatic renal cell carcinoma","authors":"Xianglai Xu , Xin Xie , Jiajun Wang , Tianxiang Chen , Yanjun Zhu","doi":"10.1016/j.ejphar.2025.178120","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Immunotherapy (IO) combined with tyrosine kinase inhibitors (TKI) are now first-line therapy for advanced renal cell carcinoma (RCC), though reliable predictive biomarkers remain elusive. Recent evidence demonstrates that karyopherin α2 subunit (KPNA2), a nuclear transport regulator, plays key roles in tumorigenesis and therapy resistance.</div></div><div><h3>Methods</h3><div>Two cohorts were analyzed: an institutional cohort of metastatic RCC patients (ZS-MRCC) and the phase III JAVELIN Renal 101 trial cohort. RNA sequencing quantified KPNA2 expression in all samples. Immune infiltration and T-cell functionality were evaluated using flow cytometry and multiplex immunohistochemistry (IHC).</div></div><div><h3>Results</h3><div>Patients with low KPNA2 expression demonstrated superior objective response rates (55 % vs. 20 %) and prolonged progression-free survival (PFS) in both cohorts. Responders showed significantly decreased KPNA2 expression (P < 0.05). Although, high-KPNA2 tumors exhibited increased tumor-infiltrating lymphocytes (TILs) by IHC (P < 0.05) and flow cytometry (P < 0.05), CD8<sup>+</sup> T cells displayed functional impairment with reduced granzyme B (GZMB) expression. Elevated KPNA2 correlated positively with regulatory T cells (Tregs) and negatively with M1-like macrophages. A machine learning model incorporating KPNA2 and T-cell exhaustion markers generated a predictive score.</div></div><div><h3>Conclusions</h3><div>KPNA2 expression mediates immunosuppression and resistance to TKI + IO therapy. These findings position KPNA2 as a promising biomarker for personalizing treatment selection in advanced RCC, particularly for optimizing TKI + IO versus alternative regimens.</div></div>","PeriodicalId":12004,"journal":{"name":"European journal of pharmacology","volume":"1006 ","pages":"Article 178120"},"PeriodicalIF":4.7000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of pharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S001429992500874X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Immunotherapy (IO) combined with tyrosine kinase inhibitors (TKI) are now first-line therapy for advanced renal cell carcinoma (RCC), though reliable predictive biomarkers remain elusive. Recent evidence demonstrates that karyopherin α2 subunit (KPNA2), a nuclear transport regulator, plays key roles in tumorigenesis and therapy resistance.
Methods
Two cohorts were analyzed: an institutional cohort of metastatic RCC patients (ZS-MRCC) and the phase III JAVELIN Renal 101 trial cohort. RNA sequencing quantified KPNA2 expression in all samples. Immune infiltration and T-cell functionality were evaluated using flow cytometry and multiplex immunohistochemistry (IHC).
Results
Patients with low KPNA2 expression demonstrated superior objective response rates (55 % vs. 20 %) and prolonged progression-free survival (PFS) in both cohorts. Responders showed significantly decreased KPNA2 expression (P < 0.05). Although, high-KPNA2 tumors exhibited increased tumor-infiltrating lymphocytes (TILs) by IHC (P < 0.05) and flow cytometry (P < 0.05), CD8+ T cells displayed functional impairment with reduced granzyme B (GZMB) expression. Elevated KPNA2 correlated positively with regulatory T cells (Tregs) and negatively with M1-like macrophages. A machine learning model incorporating KPNA2 and T-cell exhaustion markers generated a predictive score.
Conclusions
KPNA2 expression mediates immunosuppression and resistance to TKI + IO therapy. These findings position KPNA2 as a promising biomarker for personalizing treatment selection in advanced RCC, particularly for optimizing TKI + IO versus alternative regimens.
期刊介绍:
The European Journal of Pharmacology publishes research papers covering all aspects of experimental pharmacology with focus on the mechanism of action of structurally identified compounds affecting biological systems.
The scope includes:
Behavioural pharmacology
Neuropharmacology and analgesia
Cardiovascular pharmacology
Pulmonary, gastrointestinal and urogenital pharmacology
Endocrine pharmacology
Immunopharmacology and inflammation
Molecular and cellular pharmacology
Regenerative pharmacology
Biologicals and biotherapeutics
Translational pharmacology
Nutriceutical pharmacology.