综合生物信息学分析鉴定GZMA参与乳腺癌免疫浸润的潜在治疗靶点。

IF 3.3 4区 医学 Q2 ONCOLOGY
Qin Huo, Lvwen Ning, Ni Xie
{"title":"综合生物信息学分析鉴定GZMA参与乳腺癌免疫浸润的潜在治疗靶点。","authors":"Qin Huo,&nbsp;Lvwen Ning,&nbsp;Ni Xie","doi":"10.2147/BCTT.S400808","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Granzyme A (GZMA) is a potential prognostic target for various cancer types. However, its therapeutic significance in breast cancer with immune infiltration remains controversial. We analyzed <i>GZMA</i> expression and its prognostic value in breast cancer with immune cell infiltration.</p><p><strong>Patients and methods: </strong>Data was obtained from patients with breast cancer registered at The Cancer Genome Atlas. A correlation was performed between <i>GZMA</i> expression and patient's clinicopathological features such as age, pathologic stage, metastasis stage, overall survival (OS), disease-specific survival (DSS), and progress free interval (PFI). Kaplan-Meier analyses and Cox proportional hazard regression model were used to examine the predictive significance of <i>GZMA</i> expression for breast cancer. The co-expression pattern of <i>GZMA</i> was assessed by the LinkedOmics web portal. The relationship between <i>GZMA</i> expression and immune cells was analyzed using the TIMER database. The correlation between <i>GZMA</i> and lymphocytes and immunomodulators was established with the TISIDB database.</p><p><strong>Results: </strong>There was a lower <i>GZMA</i> expression in breast cancer tissue than in normal tissue. Interestingly, <i>GZMA</i> expression was associated with age, pathologic stage, and the Tumour, Node, and Metastasis stage. Overexpression of <i>GZMA</i> was also associated with better OS, DSS, and PFI. Based on the Cox regression analysis, <i>GZMA</i> was identified as an independent favorable prognostic factor for breast cancer. Our findings demonstrated a strong association between <i>GZMA</i> and T-cell checkpoints (PD-1, PD-L1, and cytotoxic T lymphocyte-associated antigen (CTLA-4)) in breast cancer. Moreover, we evaluated the interactions between <i>GZMA</i> expression and markers of dendritic and CD8+ T cells using quantitative immunofluorescence. We discovered that increased infiltration of dendritic and CD8+ T cells was associated with <i>GZMA</i> expression in breast cancer.</p><p><strong>Conclusion: </strong><i>GZMA</i> expression is associated with a favorable prognosis in breast cancer and is significantly correlated with immune cell infiltration. <i>GZMA</i> may be considered a promising therapeutic target for patients with breast cancer.</p>","PeriodicalId":9106,"journal":{"name":"Breast Cancer : Targets and Therapy","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f2/c4/bctt-15-213.PMC10013577.pdf","citationCount":"2","resultStr":"{\"title\":\"Identification of <i>GZMA</i> as a Potential Therapeutic Target Involved in Immune Infiltration in Breast Cancer by Integrated Bioinformatical Analysis.\",\"authors\":\"Qin Huo,&nbsp;Lvwen Ning,&nbsp;Ni Xie\",\"doi\":\"10.2147/BCTT.S400808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Granzyme A (GZMA) is a potential prognostic target for various cancer types. However, its therapeutic significance in breast cancer with immune infiltration remains controversial. We analyzed <i>GZMA</i> expression and its prognostic value in breast cancer with immune cell infiltration.</p><p><strong>Patients and methods: </strong>Data was obtained from patients with breast cancer registered at The Cancer Genome Atlas. A correlation was performed between <i>GZMA</i> expression and patient's clinicopathological features such as age, pathologic stage, metastasis stage, overall survival (OS), disease-specific survival (DSS), and progress free interval (PFI). Kaplan-Meier analyses and Cox proportional hazard regression model were used to examine the predictive significance of <i>GZMA</i> expression for breast cancer. The co-expression pattern of <i>GZMA</i> was assessed by the LinkedOmics web portal. The relationship between <i>GZMA</i> expression and immune cells was analyzed using the TIMER database. The correlation between <i>GZMA</i> and lymphocytes and immunomodulators was established with the TISIDB database.</p><p><strong>Results: </strong>There was a lower <i>GZMA</i> expression in breast cancer tissue than in normal tissue. Interestingly, <i>GZMA</i> expression was associated with age, pathologic stage, and the Tumour, Node, and Metastasis stage. Overexpression of <i>GZMA</i> was also associated with better OS, DSS, and PFI. Based on the Cox regression analysis, <i>GZMA</i> was identified as an independent favorable prognostic factor for breast cancer. Our findings demonstrated a strong association between <i>GZMA</i> and T-cell checkpoints (PD-1, PD-L1, and cytotoxic T lymphocyte-associated antigen (CTLA-4)) in breast cancer. Moreover, we evaluated the interactions between <i>GZMA</i> expression and markers of dendritic and CD8+ T cells using quantitative immunofluorescence. We discovered that increased infiltration of dendritic and CD8+ T cells was associated with <i>GZMA</i> expression in breast cancer.</p><p><strong>Conclusion: </strong><i>GZMA</i> expression is associated with a favorable prognosis in breast cancer and is significantly correlated with immune cell infiltration. <i>GZMA</i> may be considered a promising therapeutic target for patients with breast cancer.</p>\",\"PeriodicalId\":9106,\"journal\":{\"name\":\"Breast Cancer : Targets and Therapy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f2/c4/bctt-15-213.PMC10013577.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Breast Cancer : Targets and Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/BCTT.S400808\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer : Targets and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/BCTT.S400808","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 2

摘要

目的:颗粒酶A (GZMA)是多种癌症的潜在预后靶点。然而,其对乳腺癌免疫浸润的治疗意义仍存在争议。我们分析了GZMA在免疫细胞浸润的乳腺癌中的表达及其预后价值。患者和方法:数据来自在癌症基因组图谱中登记的乳腺癌患者。GZMA表达与患者年龄、病理分期、转移分期、总生存期(OS)、疾病特异性生存期(DSS)、无进展间隔(PFI)等临床病理特征相关。采用Kaplan-Meier分析和Cox比例风险回归模型检验GZMA表达对乳腺癌的预测意义。通过LinkedOmics门户网站评估GZMA的共表达模式。利用TIMER数据库分析GZMA表达与免疫细胞的关系。利用TISIDB数据库建立GZMA与淋巴细胞和免疫调节剂的相关性。结果:GZMA在乳腺癌组织中的表达低于正常组织。有趣的是,GZMA的表达与年龄、病理分期、肿瘤、淋巴结和转移分期有关。GZMA过表达也与更好的OS、DSS和PFI相关。基于Cox回归分析,GZMA被确定为乳腺癌独立的有利预后因素。我们的研究结果表明,乳腺癌中GZMA与T细胞检查点(PD-1、PD-L1和细胞毒性T淋巴细胞相关抗原(CTLA-4))之间存在很强的相关性。此外,我们利用定量免疫荧光技术评估了GZMA表达与树突状细胞和CD8+ T细胞标志物之间的相互作用。我们发现树突状细胞和CD8+ T细胞浸润的增加与乳腺癌中GZMA的表达有关。结论:GZMA表达与乳腺癌预后良好相关,且与免疫细胞浸润显著相关。GZMA可能被认为是乳腺癌患者有希望的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of GZMA as a Potential Therapeutic Target Involved in Immune Infiltration in Breast Cancer by Integrated Bioinformatical Analysis.

Purpose: Granzyme A (GZMA) is a potential prognostic target for various cancer types. However, its therapeutic significance in breast cancer with immune infiltration remains controversial. We analyzed GZMA expression and its prognostic value in breast cancer with immune cell infiltration.

Patients and methods: Data was obtained from patients with breast cancer registered at The Cancer Genome Atlas. A correlation was performed between GZMA expression and patient's clinicopathological features such as age, pathologic stage, metastasis stage, overall survival (OS), disease-specific survival (DSS), and progress free interval (PFI). Kaplan-Meier analyses and Cox proportional hazard regression model were used to examine the predictive significance of GZMA expression for breast cancer. The co-expression pattern of GZMA was assessed by the LinkedOmics web portal. The relationship between GZMA expression and immune cells was analyzed using the TIMER database. The correlation between GZMA and lymphocytes and immunomodulators was established with the TISIDB database.

Results: There was a lower GZMA expression in breast cancer tissue than in normal tissue. Interestingly, GZMA expression was associated with age, pathologic stage, and the Tumour, Node, and Metastasis stage. Overexpression of GZMA was also associated with better OS, DSS, and PFI. Based on the Cox regression analysis, GZMA was identified as an independent favorable prognostic factor for breast cancer. Our findings demonstrated a strong association between GZMA and T-cell checkpoints (PD-1, PD-L1, and cytotoxic T lymphocyte-associated antigen (CTLA-4)) in breast cancer. Moreover, we evaluated the interactions between GZMA expression and markers of dendritic and CD8+ T cells using quantitative immunofluorescence. We discovered that increased infiltration of dendritic and CD8+ T cells was associated with GZMA expression in breast cancer.

Conclusion: GZMA expression is associated with a favorable prognosis in breast cancer and is significantly correlated with immune cell infiltration. GZMA may be considered a promising therapeutic target for patients with breast cancer.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
40
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信