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Tytuł pozycji:

Identification of a Five-Gene Prognostic Signature Related to B Cells Infiltration in Pancreatic Adenocarcinoma

Tytuł:
Identification of a Five-Gene Prognostic Signature Related to B Cells Infiltration in Pancreatic Adenocarcinoma
Autorzy:
Tang S
Huang X
Jiang H
Qin S
Temat:
b cells
prognostic signature
wgcna
ssgsea
pancreatic adenocarcinoma
Medicine (General)
R5-920
Źródło:
International Journal of General Medicine, Vol Volume 14, Pp 5051-5068 (2021)
Wydawca:
Dove Medical Press, 2021.
Rok publikacji:
2021
Kolekcja:
LCC:Medicine (General)
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
1178-7074
Relacje:
https://www.dovepress.com/identification-of-a-five-gene-prognostic-signature-related-to-b-cells--peer-reviewed-fulltext-article-IJGM; https://doaj.org/toc/1178-7074
Dostęp URL:
https://doaj.org/article/687c210587cd4a71a7f7490bbc0ac17f  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.687c210587cd4a71a7f7490bbc0ac17f
Czasopismo naukowe
Shaomei Tang,1 Xiaoliang Huang,2 Haixing Jiang,1 Shanyu Qin1 1Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of China; 2Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of ChinaCorrespondence: Shanyu QinDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of ChinaEmail qsy0511@163.comBackground: Pancreatic adenocarcinoma (PAAD) is an extremely malignant cancer. Immunotherapy is a promising avenue to increase the survival time of patients with PAAD.Methods: RNA sequencing and clinical data for PAAD were downloaded from the TCGA database. The ssGSEA method and weighted gene co-expression network analysis were used to calculate the relative abundance of tumor-infiltrating immune cells and identify the related modules. Least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were used to construct a prognostic model. MCPcounter and EPIC were also used to assess immune cell components using gene expression profiles.Results: The B cells closely related module was identified, and five genes, including ARID5A, CLEC2B, MICAL1, MZB1, and RAPGEF1, were ultimately selected to establish a prognostic signature to calculate the risk scores of PAAD patients. Kaplan–Meier curves showed worse survival in the high-risk patients (p < 0.05), and the area under the receiver operating characteristic (ROC) curves of risk score for 1-year and 3-year survival were 0.78 and 0.80, respectively, based on the training set. Similar results were verified using the validated and combined sets. Interestingly, the low-risk group presented significantly elevated immune and stromal scores, proportion of B cells, and associations between these five genes and B cells were identified using multiple methods including ssGSEA, MCPcounter, and EPIC.Conclusion: This is the first attempt to study a B cells-related prognostic signature, which is instrumental in the exploration of novel prognostic biomarkers in PAAD.Keywords: B cells, prognostic signature, WGCNA, ssGSEA, pancreatic adenocarcinoma

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