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Identification of Five Cytotoxicity-Related Genes Involved in the Progression of Triple-Negative Breast Cancer.
Zhang, Yan; Tong, Gui-Hui; Wei, Xu-Xuan; Chen, Hai-Yang; Liang, Tian; Tang, Hong-Ping; Wu, Chuan-An; Wen, Guo-Ming; Yang, Wei-Kang; Liang, Li; Shen, Hong.
Affiliation
  • Zhang Y; Department of Pathology, School of Basic Medical Sciences, Southern Medical University/Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Tong GH; Department of Pathology, The First Affiliated Hospital of Guangdong University Of Pharmacy, Guangzhou, China.
  • Wei XX; Department of Pathology, Shenzhen Longhua District Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Chen HY; Department of Pathology,The first Affiliated Hospital,Guangzhou Medical University, Guangzhou, China.
  • Liang T; Department of Pathology, The First Affiliated Hospital of Guangdong University Of Pharmacy, Guangzhou, China.
  • Tang HP; Department of Pathology, The First Affiliated Hospital of Guangdong University Of Pharmacy, Guangzhou, China.
  • Wu CA; Department of Pathology, The First Affiliated Hospital of Guangdong University Of Pharmacy, Guangzhou, China.
  • Wen GM; Department of Pathology, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Yang WK; Department of Prevention and Health Care, Shenzhen Longhua District Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Liang L; Department of Prevention and Health Care, Shenzhen Longhua District Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Shen H; Department of Prevention and Health Care, Shenzhen Longhua District Maternity & Child Healthcare Hospital, Shenzhen, China.
Front Genet ; 12: 723477, 2021.
Article in En | MEDLINE | ID: mdl-35046993
Background: Breast cancer is one of the deadly tumors in women, and its incidence continues to increase. This study aimed to identify novel therapeutic molecules using RNA sequencing (RNA-seq) data of breast cancer from our hospital. Methods: 30 pairs of human breast cancer tissue and matched normal tissue were collected and RNA sequenced in our hospital. Differentially expressed genes (DEGs) were calculated with raw data by the R package "edgeR", and functionally annotated using R package "clusterProfiler". Tumor-infiltrating immune cells (TIICs) were estimated using a website tool TIMER 2.0. Effects of key genes on therapeutic efficacy were analyzed using RNA-seq data and drug sensitivity data from two databases: the Cancer Cell Line Encyclopedia (CCLE) and the Cancer Therapeutics Response Portal (CTRP). Results: There were 2,953 DEGs between cancerous and matched normal tissue, as well as 975 DEGs between primary breast cancer and metastatic breast cancer. These genes were primarily enriched in PI3K-Akt signaling pathway, calcium signaling pathway, cAMP signaling pathway, and cell cycle. Notably, CD8+ T cell, M0 macrophage, M1 macrophage, regulatory T cell and follicular helper T cell were significantly elevated in cancerous tissue as compared with matched normal tissue. Eventually, we found five genes (GALNTL5, MLIP, HMCN2, LRRN4CL, and DUOX2) were markedly corelated with CD8+ T cell infiltration and cytotoxicity, and associated with therapeutic response. Conclusion: We found five key genes associated with tumor progression, CD8+ T cell and therapeutic efficacy. The findings would provide potential molecular targets for the treatment of breast cancer.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Genet Year: 2021 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Front Genet Year: 2021 Document type: Article Affiliation country: China Country of publication: Switzerland