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鉴定某物质作为与乳腺癌免疫浸润和预后相关的生物标志物。 (注:原文中“Identification of as biomarker”表述不完整,推测补充了“某物质”使句子完整以便翻译)

Identification of as biomarker associated with immune infiltration and prognosis in breast cancer.

作者信息

Zou Juan, Chen Yaokun, Ji Zeqi, Liu Danyi, Chen Xin, Chen Mengjia, Chen Kexun, Lin Haojia, Chen Yexi, Li Zhiyang

机构信息

Department of General Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.

出版信息

Transl Cancer Res. 2024 Jan 31;13(1):25-45. doi: 10.21037/tcr-23-1215. Epub 2024 Jan 29.

DOI:10.21037/tcr-23-1215
PMID:38410217
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10894332/
Abstract

BACKGROUND

is a gene that encodes the C4BP protein α chain and is involved in the complement system. is regarded as a new biomarker for cancer, especially for non-small cell lung cancer and ovarian cancer. However, its role in breast cancer (BC) has not yet been determined.

METHODS

In this research, we used a bioinformatics approach to assess the prognostic significance of C4BPA in BC. Utilizing a variety of databases and analysis tools, including The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), R, STRING, and the Kaplan-Meier plotter, we specifically assessed the connection between C4BPA and BC.

RESULTS

expression was markedly decreased in BC tissues compared to its expression in normal breast tissues (P<0.05). Additionally, a receiver operating characteristic (ROC) curve revealed that has a significant capacity for prognostication and diagnostics. Additionally, expression was linked to some immune infiltrating cells' functionality, according to gene set enrichment analysis (GSEA) and immune infiltration analysis. Low expression was additionally related to poor progression-free interval (PFI) and overall survival (OS), according to the Kaplan-Meier method. We also found that expression was independently connected to PFI and OS through Cox regression analysis. Finally, prognostic analysis of the various subgroups of breast invasive carcinoma (BRCA/BIC) in TCGA showed that patients with low expression might have worse PFI and OS in patients with Luminal A compared to other BC subtypes.

CONCLUSIONS

In conclusion, these results revealed that could potentially act as a diagnostic biomarker for BC patients indicating unfavorable prognoses and offers valuable knowledge for creating therapeutics and prognostic indicators.

摘要

背景

C4BPA是一种编码C4BP蛋白α链的基因,参与补体系统。它被视为癌症的一种新生物标志物,尤其是非小细胞肺癌和卵巢癌。然而,其在乳腺癌(BC)中的作用尚未确定。

方法

在本研究中,我们采用生物信息学方法评估C4BPA在BC中的预后意义。利用多种数据库和分析工具,包括癌症基因组图谱(TCGA)、基因型-组织表达(GTEx)、基因本体论(GO)、京都基因与基因组百科全书(KEGG)、R、STRING以及Kaplan-Meier绘图仪,我们专门评估了C4BPA与BC之间的关联。

结果

与正常乳腺组织中的表达相比,BC组织中C4BPA的表达明显降低(P<0.05)。此外,受试者工作特征(ROC)曲线显示C4BPA具有显著的预后和诊断能力。此外,根据基因集富集分析(GSEA)和免疫浸润分析,C4BPA的表达与一些免疫浸润细胞的功能相关。根据Kaplan-Meier方法,低C4BPA表达还与无进展生存期(PFI)和总生存期(OS)较差有关。通过Cox回归分析,我们还发现C4BPA的表达与PFI和OS独立相关。最后,对TCGA中乳腺浸润性癌(BRCA/BIC)的各个亚组进行预后分析表明,与其他BC亚型相比,Luminal A型患者中C4BPA低表达的患者可能具有更差的PFI和OS。

结论

总之,这些结果表明C4BPA可能作为BC患者预后不良的诊断生物标志物,并为开发治疗方法和预后指标提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/9da50aca2f7a/tcr-13-01-25-f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/882062da53f4/tcr-13-01-25-f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/598faf86f203/tcr-13-01-25-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/0c4c1394b0de/tcr-13-01-25-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/04252f75c39c/tcr-13-01-25-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/95a5b63636ae/tcr-13-01-25-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/de2b21d74872/tcr-13-01-25-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/f1cba02e6161/tcr-13-01-25-f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/0f8d249cd04c/tcr-13-01-25-f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/8356a1b2d105/tcr-13-01-25-f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/9da50aca2f7a/tcr-13-01-25-f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/882062da53f4/tcr-13-01-25-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/9d68bea03054/tcr-13-01-25-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/400ecbf910c1/tcr-13-01-25-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/c24773febdbb/tcr-13-01-25-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/598faf86f203/tcr-13-01-25-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/0c4c1394b0de/tcr-13-01-25-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/04252f75c39c/tcr-13-01-25-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/95a5b63636ae/tcr-13-01-25-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/de2b21d74872/tcr-13-01-25-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/f1cba02e6161/tcr-13-01-25-f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/0f8d249cd04c/tcr-13-01-25-f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/8356a1b2d105/tcr-13-01-25-f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6963/10894332/9da50aca2f7a/tcr-13-01-25-f13.jpg

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