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泛癌分析表明,BCAP31 是多种癌症类型的潜在预后和免疫治疗生物标志物

英文原题:Pan-cancer analysis shows that BCAP31 is a potential prognostic and immunotherapeutic biomarker for multiple cancer types.

PubMed 2024/12/16(内容时间) Front Immunol Q1 · IF 7(JCR 2025)

研究概要

BCAP31有潜力作为癌症免疫学的生物标志物,特别是与免疫细胞浸润相关,并可作为不良预后的指标。这些发现提供了一个新的视角,可为开发更具针对性的癌症治疗策略提供信息。

研究思路结论见上方概要

B细胞受体相关蛋白31(BCAP31)是一种广泛表达的跨膜蛋白,主要定位于内质网(ER),包括内质网-线粒体相关膜。新出现的证据表明,BCAP31可能在癌症发生和进展中发挥作用,尽管其在不同癌症类型中的具体作用仍未完全阐明。

BCAP31在肿瘤及癌旁非肿瘤(癌旁)样本中的表达原始数据来自Broad Institute Cancer Cell Line Encyclopedia(CCLE)和UCSC数据库。我们还分析了BCAP31表达与临床病理因素之间的关联。使用Cox比例风险模型,我们发现BCAP31高表达与不良预后相关。为进一步探讨BCAP31的作用,我们利用The Cancer Genome Atlas(TCGA)数据分析了拷贝数变异(CNV)与BCAP31 mRNA表达之间的关系。此外,BCAP31表达与MsigDB数据库中特征通路评分之间的关联,为理解BCAP31的肿瘤生物学和免疫学特征提供了线索。我们使用TIMER2和ImmuCellAI数据库评估了肿瘤免疫浸润与BCAP31表达之间的关系。采用ESTIMATE计算方法,基于TCGA数据估计浸润肿瘤的免疫细胞比例,以及基质和免疫成分。为研究BCAP31表达与药物敏感性之间的关系,我们使用了GDSC2数据,其中包含对198种药物的反应。我们探讨了BCAP31基因表达与免疫治疗反应之间的关系。此外,该研究还涉及在标准条件下培养KYSE-150细胞,并使用siRNA介导的BCAP31敲低来评估其功能。关键实验包括Western blotting(WB)以确认BCAP31敲低,MTT实验检测细胞增殖,集落形成实验检测生长潜能,Transwell实验检测迁移和侵袭,以及划痕愈合实验检测运动能力。此外,对肿瘤和癌旁正常组织样本进行免疫组织化学(IHC)染色,以评估BCAP31表达水平。

发现BCAP31在几种常见恶性肿瘤中显著过表达,并与不良预后相关。跨所有癌症类型的Cox回归分析显示,较高的BCAP31水平主要与较差的总生存期(OS)、无病间期(DFI)、疾病特异性生存期(DSS)和无进展间期(PFI)相关。在大多数恶性肿瘤中,BCAP31表达增加与较高的CNV呈正相关。此外,BCAP31表达与肿瘤微环境(TME)密切相关,影响浸润免疫细胞、免疫相关基因和免疫相关通路的水平。药物敏感性分析确定了六种与BCAP31表达呈显著正相关的药物。此外,BCAP31表达影响接受免疫治疗的癌症患者的结局和预后。功能实验表明,在KYSE-150细胞中敲低BCAP31显著抑制了细胞迁移、侵袭和增殖,同时增强了集落形成能力。WB和免疫组化分析证实,在食管癌、肺腺癌和胃腺癌中,肿瘤组织中BCAP31表达高于癌旁正常组织。

展开英文摘要原文

BACKGROUND: B-cell receptor-associated protein 31 (BCAP31) is a widely expressed transmembrane protein primarily located in the endoplasmic reticulum (ER), including the ER-mitochondria associated membranes. Emerging evidence suggests that BCAP31 may play a role in cancer development and progression, although its specific effects across different cancer types remain incompletely understood. METHODS: The raw data on BCAP31 expression in tumor and adjacent non-tumor (paracancerous) samples were obtained from the Broad Institute Cancer Cell Line Encyclopedia (CCLE) and UCSC databases. We also examined the association between BCAP31 expression and clinicopathological factors. Using the Cox proportional hazards model, we found that high BCAP31 levels were linked to poor prognosis. To further explore BCAP31's role, we analyzed the relationship between copy number variations (CNV) and BCAP31 mRNA expression using data from The Cancer Genome Atlas (TCGA). Additionally, the association between BCAP31 expression and signature pathway scores from the MsigDB database provided insights into the tumor biology and immunological characteristics of BCAP31.We assessed the relationship between tumor immune infiltration and BCAP31 expression using the TIMER2 and ImmuCellAI databases. The ESTIMATE computational method was employed to estimate the proportion of immune cells infiltrating the tumors, as well as the stromal and immune components, based on TCGA data. To investigate drug sensitivity in relation to BCAP31 expression, we utilized GDSC2 data, which included responses to 198 medications. We explored the relationship between BCAP31 gene expression and response to immunotherapy. Additionally, the study involved culturing KYSE-150 cells under standard conditions and using siRNA-mediated knockdown of BCAP31 to assess its function. Key experiments included Western blotting (WB) to confirm BCAP31 knockdown, MTT assays for cell proliferation, colony formation assays for growth potential, Transwell assays for migration and invasion, and wound healing assays for motility. Additionally, immunohistochemistry (IHC) was performed on tumor and adjacent normal tissue samples to evaluate BCAP31 expression levels. RESULTS: BCAP31 was found to be significantly overexpressed in several prevalent malignancies and was associated with poor prognosis. Cox regression analysis across all cancer types revealed that higher BCAP31 levels were predominantly linked to worse overall survival (OS), disease-free interval (DFI), disease-specific survival (DSS), and progression-free interval (PFI). In most malignancies, increased BCAP31 expression was positively correlated with higher CNV. Additionally, BCAP31 expression was strongly associated with the tumor microenvironment (TME), influencing the levels of infiltrating immune cells, immune-related genes, and immune-related pathways. Drug sensitivity analysis identified six medications that showed a significant positive correlation with BCAP31 expression. Furthermore, BCAP31 expression impacted the outcomes and prognosis of cancer patients undergoing immune therapy. The functional assays demonstrated that BCAP31 knockdown in KYSE-150 cells significantly inhibited cell migration, invasion, and proliferation while enhancing colony formation ability. WB and immunohistochemistry analyses confirmed elevated BCAP31 expression in tumor tissues compared to adjacent normal tissues in esophageal cancer, lung adenocarcinoma, and gastric adenocarcinoma. CONCLUSION: BCAP31 has the potential to serve as a biomarker for cancer immunology, particularly in relation to immune cell infiltration, and as an indicator of poor prognosis. These findings provide a new perspective that could inform the development of more targeted cancer therapy strategies.

论文信息

作者
Sun Y、Li Z、Liu J、Xiao Y、Pan Y、Lv B、Wang X、Lin Z
第一作者单位
Department of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.China
通讯作者单位
Department of Otolaryngology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.China
文献类型
非美国政府资助研究
期刊
Frontiers in immunology2024
原文标识
PubMed 39737177 · DOI 10.3389/fimmu.2024.1507375