• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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。

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

作者信息

Sun Yangyong, Li Zhi, Liu Jianchao, Xiao Ying, Pan Yaqiang, Lv Benbo, Wang Xufeng, Lin Zhiqiang

机构信息

Department of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.

Department of Emergency, Nanjing Jiangning Hospital, Nanjing, Jiangsu, China.

出版信息

Front Immunol. 2024 Dec 16;15:1507375. doi: 10.3389/fimmu.2024.1507375. eCollection 2024.

DOI:10.3389/fimmu.2024.1507375
PMID:39737177
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11683684/
Abstract

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.

摘要

背景

B细胞受体相关蛋白31(BCAP31)是一种广泛表达的跨膜蛋白,主要位于内质网(ER),包括内质网-线粒体相关膜。越来越多的证据表明,BCAP31可能在癌症的发生和发展中起作用,尽管其在不同癌症类型中的具体作用仍不完全清楚。

方法

从布罗德研究所癌症细胞系百科全书(CCLE)和加州大学圣克鲁兹分校数据库中获取肿瘤和相邻非肿瘤(癌旁)样本中BCAP31表达的原始数据。我们还研究了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水平高与预后不良有关。为了进一步探索BCAP31的作用,我们使用来自癌症基因组图谱(TCGA)的数据,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数据库中的特征通路评分之间的关联,为BCAP31的肿瘤生物学和免疫特征提供了见解。我们使用TIMER2和ImmuCellAI数据库评估肿瘤免疫浸润与BCAP31表达之间的关系。基于TCGA数据,采用ESTIMATE计算方法来估计浸润肿瘤的免疫细胞比例以及基质和免疫成分。为了研究与BCAP31表达相关的药物敏感性,我们利用了GDSC2数据,其中包括对198种药物的反应。我们探索了BCAP31基因表达与免疫治疗反应之间的关系。此外,该研究包括在标准条件下培养KYSE-150细胞,并使用小干扰RNA(siRNA)介导的BCAP31敲低来评估其功能。关键实验包括蛋白质免疫印迹法(WB)以确认BCAP31敲低、MTT法检测细胞增殖、集落形成试验检测生长潜力、Transwell试验检测迁移和侵袭以及伤口愈合试验检测运动能力。此外,对肿瘤和相邻正常组织样本进行免疫组织化学(IHC)检测,以评估BCAP31的表达水平。

结果

发现BCAP31在几种常见恶性肿瘤中显著过表达,并与预后不良相关。对所有癌症类型进行的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)和无进展生存期(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。功能试验表明,KYSE-150细胞中BCAP31的敲低显著抑制细胞迁移、侵袭和增殖,同时增强集落形成能力。WB和免疫组织化学分析证实,与食管癌、肺腺癌和胃腺癌的相邻正常组织相比,肿瘤组织中BCAP31表达升高。

结论

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的标志物,以及预后不良的指标。这些发现提供了一个新的视角,可为更具针对性的癌症治疗策略的开发提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/9cc589f1a148/fimmu-15-1507375-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/25cc8bbf8c74/fimmu-15-1507375-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/c153e3fc9c32/fimmu-15-1507375-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/ff4cde553fe9/fimmu-15-1507375-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/839ace3ab5f2/fimmu-15-1507375-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/5132422c3815/fimmu-15-1507375-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/04d421fcb41a/fimmu-15-1507375-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/9a84d61858cc/fimmu-15-1507375-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/be7c5cc45223/fimmu-15-1507375-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/b6b7916f5825/fimmu-15-1507375-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/36d7c70c7d3d/fimmu-15-1507375-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/ed9099559c40/fimmu-15-1507375-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/7a0b05a638d4/fimmu-15-1507375-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/fc701c189f8e/fimmu-15-1507375-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/0ae84117ba30/fimmu-15-1507375-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/9cc589f1a148/fimmu-15-1507375-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/25cc8bbf8c74/fimmu-15-1507375-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/c153e3fc9c32/fimmu-15-1507375-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/ff4cde553fe9/fimmu-15-1507375-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/839ace3ab5f2/fimmu-15-1507375-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/5132422c3815/fimmu-15-1507375-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/04d421fcb41a/fimmu-15-1507375-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/9a84d61858cc/fimmu-15-1507375-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/be7c5cc45223/fimmu-15-1507375-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/b6b7916f5825/fimmu-15-1507375-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/36d7c70c7d3d/fimmu-15-1507375-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/ed9099559c40/fimmu-15-1507375-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/7a0b05a638d4/fimmu-15-1507375-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/fc701c189f8e/fimmu-15-1507375-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/0ae84117ba30/fimmu-15-1507375-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52b/11683684/9cc589f1a148/fimmu-15-1507375-g015.jpg

相似文献

1
Pan-cancer analysis shows that BCAP31 is a potential prognostic and immunotherapeutic biomarker for multiple cancer types.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。
Front Immunol. 2024 Dec 16;15:1507375. doi: 10.3389/fimmu.2024.1507375. eCollection 2024.
2
UBR1 is a prognostic biomarker and therapeutic target associated with immune cell infiltration in gastric cancer.UBR1 是一种与胃癌免疫细胞浸润相关的预后生物标志物和治疗靶点。
Aging (Albany NY). 2024 Aug 23;16(16):12029-12049. doi: 10.18632/aging.206079.
3
Comprehensive pan-cancer analysis reveals prognostic implications of TMEM92 in the tumor immune microenvironment.全面泛癌分析揭示了 TMEM92 在肿瘤免疫微环境中的预后意义。
Clin Transl Oncol. 2024 Oct;26(10):2701-2717. doi: 10.1007/s12094-024-03477-6. Epub 2024 Apr 20.
4
Pan-cancer analysis of GJB5 as a novel prognostic and immunological biomarker.GJB5作为一种新型预后和免疫生物标志物的泛癌分析
Sci Rep. 2025 Apr 28;15(1):14879. doi: 10.1038/s41598-025-96389-6.
5
Comprehensive pan-cancer analysis of ZNF337 as a potential diagnostic, immunological, and prognostic biomarker.全面泛癌分析 ZNF337 作为一种潜在的诊断、免疫和预后生物标志物。
BMC Cancer. 2024 Aug 9;24(1):987. doi: 10.1186/s12885-024-12703-x.
6
Exploration of SUSD3 in pan-cancer: studying its role, predictive analysis, and biological significance in various malignant tumors in humans.泛癌中SUSD3的探索:研究其在人类各种恶性肿瘤中的作用、预测分析及生物学意义。
Front Immunol. 2025 Mar 21;16:1521965. doi: 10.3389/fimmu.2025.1521965. eCollection 2025.
7
Pan-Cancer Analysis of Immune Cell Infiltration Identifies a Prognostic Immune-Cell Characteristic Score (ICCS) in Lung Adenocarcinoma.泛癌症分析免疫细胞浸润鉴定出肺腺癌预后免疫细胞特征评分(ICCS)。
Front Immunol. 2020 Jun 30;11:1218. doi: 10.3389/fimmu.2020.01218. eCollection 2020.
8
Construction of store-operated calcium entry-related gene signature for predicting prognosis and indicates immune microenvironment infiltration in stomach adenocarcinomas.构建与储存操纵钙内流相关基因特征,用于预测胃腺癌的预后并提示免疫微环境浸润。
Sci Rep. 2024 Sep 27;14(1):22342. doi: 10.1038/s41598-024-73324-9.
9
Multiomics analysis reveals the involvement of NET1 in tumour immune regulation and malignant progression.多组学分析揭示了NET1在肿瘤免疫调节和恶性进展中的作用。
Sci Rep. 2025 Jan 2;15(1):56. doi: 10.1038/s41598-024-83714-8.
10
Insights Into the Prognostic Value and Immunological Role of NAAA in Pan-Cancer.浅析 NAAA 在泛癌中的预后价值和免疫学作用。
Front Immunol. 2022 Jan 6;12:812713. doi: 10.3389/fimmu.2021.812713. eCollection 2021.

引用本文的文献

1
Integration of Single-Cell and Bulk Transcriptome to Reveal an Endothelial Transition Signature Predicting Bladder Cancer Prognosis.整合单细胞和整体转录组以揭示预测膀胱癌预后的内皮细胞转变特征
Biology (Basel). 2025 Apr 28;14(5):486. doi: 10.3390/biology14050486.

本文引用的文献

1
BAP31 Knockout in Macrophages Affects CD4T Cell Activation through Upregulation of MHC Class II Molecule.BAP31 敲除巨噬细胞通过上调 MHC Ⅱ类分子影响 CD4T 细胞活化。
Int J Mol Sci. 2023 Aug 30;24(17):13476. doi: 10.3390/ijms241713476.
2
BAP31 affects macrophage polarization through regulating helper T cells activation.BAP31通过调节辅助性T细胞的激活来影响巨噬细胞极化。
J Mol Histol. 2022 Oct;53(5):843-855. doi: 10.1007/s10735-022-10095-5. Epub 2022 Aug 26.
3
Pan-cancer analysis of the FAM83 family and its association with prognosis and tumor microenvironment.
FAM83家族的泛癌分析及其与预后和肿瘤微环境的关联
Front Genet. 2022 Jul 22;13:919559. doi: 10.3389/fgene.2022.919559. eCollection 2022.
4
BCAP31 is involved in modulating colorectal cancer cell proliferation via the Emerin/β-catenin axis.BCAP31 通过 Emerin/β-连环蛋白轴参与调节结肠直肠癌细胞增殖。
Exp Cell Res. 2022 Sep 1;418(1):113265. doi: 10.1016/j.yexcr.2022.113265. Epub 2022 Jun 15.
5
Pan-Cancer Analysis Reveals the Signature of TMC Family of Genes as a Promising Biomarker for Prognosis and Immunotherapeutic Response.泛癌分析揭示 TMC 家族基因作为预后和免疫治疗反应有前途的生物标志物的特征。
Front Immunol. 2021 Nov 9;12:715508. doi: 10.3389/fimmu.2021.715508. eCollection 2021.
6
Biological roles of the B cell receptor-associated protein 31: Functional Implication in Cancer.B 细胞受体相关蛋白 31 的生物学作用:在癌症中的功能意义。
Mol Biol Rep. 2021 Jan;48(1):773-786. doi: 10.1007/s11033-020-06123-w. Epub 2021 Jan 13.
7
BAP31 Promotes Tumor Cell Proliferation by Stabilizing SERPINE2 in Hepatocellular Carcinoma.BAP31通过稳定肝细胞癌中的SERPINE2促进肿瘤细胞增殖。
Front Cell Dev Biol. 2020 Dec 11;8:607906. doi: 10.3389/fcell.2020.607906. eCollection 2020.
8
MiR-362 suppresses cervical cancer progression via directly targeting BAP31 and activating TGFβ/Smad pathway.miR-362 通过直接靶向 BAP31 并激活 TGFβ/Smad 通路抑制宫颈癌进展。
Cancer Med. 2021 Jan;10(1):305-316. doi: 10.1002/cam4.3601. Epub 2020 Nov 19.
9
Avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma: biomarker analysis of the phase 3 JAVELIN Renal 101 trial.avelumab 联合阿昔替尼对比舒尼替尼用于晚期肾细胞癌:III 期 JAVELIN Renal 101 试验的生物标志物分析。
Nat Med. 2020 Nov;26(11):1733-1741. doi: 10.1038/s41591-020-1044-8. Epub 2020 Sep 7.
10
Interplay of somatic alterations and immune infiltration modulates response to PD-1 blockade in advanced clear cell renal cell carcinoma.体细胞改变与免疫浸润的相互作用调节晚期透明细胞肾细胞癌对 PD-1 阻断的反应。
Nat Med. 2020 Jun;26(6):909-918. doi: 10.1038/s41591-020-0839-y. Epub 2020 May 29.