The signature of SARS-CoV-2-related genes predicts the immune therapeutic response and prognosis in breast cancer

Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an exceptionally contagious single-stranded RNA virus with a strong positive contagion. The COVID-19 pandemic refers to the swift worldwide dissemination of SARS-CoV-2 infection, which began in late 2019. The COVID-19 epidemic...

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Main Authors: Ruizhi Fu (Author), Yequn Chen (Author), Jiajing Zhao (Author), Xiaojun Xie (Author)
Format: Book
Published: BMC, 2024-10-01T00:00:00Z.
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001 doaj_76e2e98e9be6498f80b1d3c46d2a732a
042 |a dc 
100 1 0 |a Ruizhi Fu  |e author 
700 1 0 |a Yequn Chen  |e author 
700 1 0 |a Jiajing Zhao  |e author 
700 1 0 |a Xiaojun Xie  |e author 
245 0 0 |a The signature of SARS-CoV-2-related genes predicts the immune therapeutic response and prognosis in breast cancer 
260 |b BMC,   |c 2024-10-01T00:00:00Z. 
500 |a 10.1186/s12920-024-02032-0 
500 |a 1755-8794 
520 |a Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an exceptionally contagious single-stranded RNA virus with a strong positive contagion. The COVID-19 pandemic refers to the swift worldwide dissemination of SARS-CoV-2 infection, which began in late 2019. The COVID-19 epidemic has disrupted many cancer treatments. A few reports indicate that the prevalence of SARS-CoV-2 has disrupted the treatment of breast cancer patients (BCs). However, the role of SARS-CoV-2 in the occurrence and prognosis of BC has not been elucidated. Here, we applied bioinformatics to construct a prognostic signature of SARS-CoV-2-related genes (SCRGs). Specifically, weighted gene co-expression network analysis (WGCNA) was utilized to extract co-expressed genes of differentially expressed genes (DEGs) in breast cancer and SCRGs. Then, we utilized the least absolute shrinkage and selection operator (LASSO) algorithm and univariate regression analysis to screen out three hub genes (DCTPP1, CLIP4 and ANO6) and constructed a risk score model. We further analyzed tumor immune invasion, HLA-related genes, immune checkpoint inhibitors (ICIs), and sensitivity to anticancer drugs in different SARS-CoV-2 related risk subgroups. In addition, we have developed a nomination map to expand clinical applicability. The results of our study indicate that BCs with a high-risk score are linked to negative outcomes, lower immune scores, and reduced responsiveness to anticancer medications. This suggests that the SARS-CoV-2 related signature could be used to guide prognosis assessment and treatment decisions for BCs. 
546 |a EN 
690 |a SARS-CoV-2 
690 |a Breast cancer 
690 |a Bioinformatics 
690 |a Prognosis 
690 |a COVID-19 
690 |a Internal medicine 
690 |a RC31-1245 
690 |a Genetics 
690 |a QH426-470 
655 7 |a article  |2 local 
786 0 |n BMC Medical Genomics, Vol 17, Iss 1, Pp 1-18 (2024) 
787 0 |n https://doi.org/10.1186/s12920-024-02032-0 
787 0 |n https://doaj.org/toc/1755-8794 
856 4 1 |u https://doaj.org/article/76e2e98e9be6498f80b1d3c46d2a732a  |z Connect to this object online.