Identification of a novel m6A-related lncRNAs signature and immunotherapeutic drug sensitivity in pancreatic adenocarcinoma

被引:0
|
作者
Li, Xia-Qing [1 ]
Yin, Shi-Qi [1 ]
Chen, Lin [2 ]
Tulamaiti, Aziguli [3 ]
Xiao, Shu-Yu [3 ]
Zhang, Xue-Li [3 ]
Shi, Lei [4 ]
Miao, Xiao-Cao [3 ]
Yang, Yan [3 ]
Xing, Xin [1 ,2 ]
机构
[1] Anhui Univ Sci & Technol, Affiliated Fengxian Hosp, 6600 Nanfeng Rd, Shanghai, Peoples R China
[2] Shanghai Univ Med & Hlth Sci, Affiliated Peoples Hosp 6, South Campus, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Ren Ji Hosp, Shanghai Canc Inst, State Key Lab Syst Med Canc,Sch Med, Shanghai, Peoples R China
[4] Lanzhou Univ, Sch Publ Hlth, Lanzhou, Peoples R China
关键词
m6A-related lncRNAs; PDAC; Immunotherapy; Prognostic values; GENE-EXPRESSION; PROGRESSION; CANCER; METHYLATION; LANDSCAPE; PROGNOSIS; PREDICT;
D O I
10.1186/s12885-024-11885-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundPancreatic adenocarcinoma (PDAC) ranks as the fourth leading cause for cancer-related deaths worldwide. N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) are closely related with poor prognosis and immunotherapeutic effect in PDAC. The aim of this study is to construct and validate a m6A-related lncRNAs signature and assess immunotherapeutic drug sensitivity in PDAC.MethodsRNA-seq data for 178 cases of PDAC patients and 167 cases of normal pancreatic tissue were obtained from TCGA and GTEx databases, respectively. A set of 21 m6A-related genes were downloaded based on the previous report. Co-expression network was conducted to identify m6A-related lncRNAs in PDAC. Cox analyses and least absolute shrinkage and selection operator (Lasso) regression model were used to construct a risk prognosis model. The relationship between signature genes and immune function was explored by single-sample GSEA (ssGSEA). The tumor immune dysfunction and exclusion (TIDE) score and tumor mutation burden (TMB) were utilized to evaluate the response to immunotherapy. Furthermore, the expression levels of 4 m6A-related lncRNAs on PDAC cell lines were measured by the quantitative real-time PCR (qPCR). The drug sensitivity between the high- and low-risk groups was validated using PDAC cell lines by Cell-Counting Kit 8 (CCK8).ResultsThe risk prognosis model was successfully constructed based on 4 m6A-related lncRNAs, and PDAC patients were divided into the high- and low-risk groups. The overall survival (OS) of the high-risk groups was more unfavorable compared with the low-risk groups. Receiver operating characteristic (ROC) curves demonstrated that the risk prognosis model reasonably predicted the 2-, 3- and 5-year OS of PDAC patients. qPCR analysis confirmed the decreased expression levels of 4 m6A-related lncRNAs in PDAC cells compared to the normal pancreatic cells. Furthermore, CCK8 assay revealed that Phenformin exhibited higher sensitivity in the high-risk groups, while Pyrimethamine exhibited higher sensitivity in the low-risk groups.ConclusionThe prognosis of patients with PDAC were well predicted in the risk prognosis model based on m6A-related lncRNAs, and selected immunotherapy drugs have potential values for the treatment of pancreatic cancer.
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页数:15
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