Department of Urology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, 100029, P. R. China.
Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, P. R. China.
BMC Cancer. 2024 Jun 19;24(1):746. doi: 10.1186/s12885-024-12489-y.
Basement membrane (BM) is an important component of the extracellular matrix, which plays an important role in the growth and metastasis of tumor cells. However, few biomarkers based on BM have been developed for prognostic assessment and prediction of immunotherapy in bladder cancer (BLCA).
In this study, we used the BLCA public database to explore the relationship between BM-related genes (BMRGs) and prognosis. A novel molecular typing of BLCA was performed using consensus clustering. LASSO regression was used to construct a signature based on BMRGs, and its relationship with prognosis was explored using survival analysis. The pivotal BMRGs were further analyzed to assess its clinical characteristics and immune landscape. Finally, immunohistochemistry was used to detect the expression of the hub gene in BLCA patients who underwent surgery or received immune checkpoint inhibitor (ICI) immunotherapy in our hospital.
We comprehensively analyzed the relationship between BMRGs and BLCA, and established a prognostic-related signature which was an independent influence on the prognostic prediction of BLCA. We further screened and validated the pivotal gene-MMP14 in public database. In addition, we found that MMP14 expression in muscle invasive bladder cancer (MIBC) was significantly higher and high MMP14 expression had a poorer response to ICI treatment in our cohort.
Our findings highlighted the satisfactory value of BMRGs and suggested that MMP14 may be a potential biomarker in predicting prognosis and response to immunotherapy in BLCA.
基底膜(BM)是细胞外基质的重要组成部分,在肿瘤细胞的生长和转移中起着重要作用。然而,目前针对膀胱癌(BLCA)的预后评估和免疫治疗预测,基于 BM 的生物标志物还很少。
本研究利用 BLCA 公共数据库探讨了 BM 相关基因(BMRGs)与预后的关系。采用共识聚类对 BLCA 进行新型分子分型。使用 LASSO 回归基于 BMRGs 构建签名,并通过生存分析探讨其与预后的关系。进一步分析关键 BMRGs,评估其临床特征和免疫景观。最后,采用免疫组织化学法检测我院接受手术或免疫检查点抑制剂(ICI)免疫治疗的 BLCA 患者中关键基因 MMP14 的表达。
我们全面分析了 BMRGs 与 BLCA 的关系,建立了一个与预后相关的签名,该签名是 BLCA 预后预测的独立影响因素。我们进一步在公共数据库中筛选和验证了关键基因 MMP14。此外,我们发现 MMP14 在肌肉浸润性膀胱癌(MIBC)中的表达明显更高,且高 MMP14 表达的患者对 ICI 治疗的反应较差。
我们的研究结果突出了 BMRGs 的良好价值,并表明 MMP14 可能是预测 BLCA 预后和对免疫治疗反应的潜在生物标志物。