文献类型：期刊文献

英文题名：Integrated analysis of scRNA-seq and bulk RNA-seq reveals that GPRC5A is an important prognostic gene in pancreatic cancer and is associated with B-cell Infiltration in pancreatic cancer

作者：Dong, Chunlu[1,2];Ma, Haidong[1];Mi, Ningning[1];Fu, Wenkang[1];Yi, Jianfeng[1,3];Gao, Long[1];Wang, Haiping[1,2];Ren, Yanxian[1,2];Lin, Yanyan[1,2];Han, Fangfang[1,2];Chen, Zhou[1,2];Zhou, Wence[1,4]

第一作者：Dong, Chunlu

通信作者：Zhou, WC[1];Zhou, WC[2]

机构：[1]Lanzhou Univ, Sch Clin Med 1, Lanzhou, Gansu, Peoples R China;[2]Lanzhou Univ, Lanzhou, Gansu, Peoples R China;[3]Gansu Univ Chinese Med, Sch Clin Med 1, Dept Surg, Lanzhou, Gansu, Peoples R China;[4]Lanzhou Univ Second Hosp, Lanzhou, Gansu, Peoples R China

第一机构：Lanzhou Univ, Sch Clin Med 1, Lanzhou, Gansu, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Sch Clin Med 1, Lanzhou, Gansu, Peoples R China;[2]corresponding author), Lanzhou Univ Second Hosp, Lanzhou, Gansu, Peoples R China.

年份：2024

卷号：14

外文期刊名：FRONTIERS IN ONCOLOGY

收录：;Scopus(收录号：2-s2.0-85190546974);WOS:【SCI-EXPANDED(收录号:WOS:001203431500001)】；

基金：We sincerely appreciate the data provided by the GEO(http://www.ncbi.nlm.nih.gov/geo/), TCGA(https://portal.gdc.cancer.gov/) database and THE HUMAN PROTEIN ATLAS(https://www.proteinatlas.org/).r The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Natural Science Foundation of Gansu Province (20JR10RA674, 21JR7RA374) and the First Hospital of Lanzhou University Intramural Fund (ldyyyn2019-45, ldyyyn2020-20).

语种：英文

外文关键词：pancreatic cancer; single-cell; immune infiltration; B cell; Gprc5a

摘要：Introduction Pancreatic cancer (PC) is a malignancy with poor prognosis. This investigation aimed to determine the relevant genes that affect the prognosis of PC and investigate their relationship with immune infiltration.Methods : First, we acquired PC single-cell chip data from the GEO database to scrutinize dissimilarities in immune cell infiltration and differential genes between cancerous and adjacent tissues. Subsequently, we combined clinical data from TCGA to identify genes relevant to PC prognosis. Employing Cox and Lasso regression analyses, we constructed a multifactorial Cox prognostic model, which we subsequently confirmed. The prognostic gene expression in PC was authenticated using RT-PCR. Moreover, we employed the TIMER online database to examine the relationship between the expression of prognostic genes and T and B cell infiltration. Additionally, the expression of GPRC5A and its correlation with B cells infiltration and patient prognosis were ascertained in tissue chips using multiple immune fluorescence staining.Results The single-cell analysis unveiled dissimilarities in B-cell infiltration between cancerous and neighboring tissues. We developed a prognostic model utilizing three genes, indicating that patients with high-risk scores experienced a more unfavorable prognosis. Immune infiltration analysis revealed a significant correlation among YWHAZ, GPRC5A, and B cell immune infiltration. In tissue samples, GPRC5A exhibited substantial overexpression and a robust association with an adverse prognosis, demonstrating a positive correlation with B cell infiltration.Conclusion GPRC5A is an independent risk factor in PC and correlated with B cell immune infiltration in PC. These outcomes indicated that GPRC5A is a viable target for treating PC.