Exosome and lipid metabolism-related genes in pancreatic adenocarcinoma: a prognosis analysis

被引:0
作者
Wu, Jia [1 ]
Li, Yajun [1 ]
Nabi, Ghulam [2 ]
Huang, Xin [1 ]
Zhang, Xu [1 ,3 ]
Wang, Yuanzhen [1 ]
Huang, Liya [1 ]
机构
[1] Ningxia Med Univ, Dept Gastroenterol, Gen Hosp, Yinchuan, Ningxia, Peoples R China
[2] Polish Acad Sci, Inst Nat Conservat, Krakow, Poland
[3] Tradit Cinese Med Hosp Yinchuan, Dept Gastroenterol, Yinchuan, Ningxia, Peoples R China
来源
AGING-US | 2023年 / 15卷 / 20期
基金
中国国家自然科学基金;
关键词
pancreatic adenocarcinoma; prognosis analysis; exosome; lipid metabolism; CYCLASE-ASSOCIATED PROTEIN-1; EPIDERMAL-GROWTH-FACTOR; FACTOR RECEPTOR; REGULATED EXPRESSION; R PACKAGE; CANCER; PATHWAY; METASTASIS; MIGRATION; DATABASE;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Objective: The purpose of the study was to investigate the role of exosome and lipid metabolism-related genes (EALMRGs) mRNA levels in the diagnosis and prognosis of Pancreatic Adenocarcinoma (PAAD). Methods: The mRNA expression pattern of PAAD and pan-cancers with prognostic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. EALMRGs were acquired from GeneCards and MSigDB database after merging and deduplication. Prognostic EALMRGs were screened through univariate COX regression analysis, and a prognostic model was constructed based on these genes by least absolute shrinkage and selection operator (LASSO) regression. The prognostic value of EALMRGs was then validated in pan-cancer data. The time characteristics ROC curve analysis was performed to evaluate the effectiveness of the prognostic genes. Results: We identified 5 hub genes (ABCB1, CAP1, EGFR, PPARG, SNCA) according to high and low-risk groups of prognoses. The risk formula was verified in three other cohort of pancreatic cancer patients and was explored in pan-cancer data. Additionally, T cell and dendritic cell infiltration was significantly increased in low-risk group. The expression of the 5 hub genes was also identified in single-cell sequencing data of pancreatic cancer with pivotal pathways. Additionally, functional enrichment analysis based on pancreatic cancer data in pancreatic cancer showed that protein serine/threonine kinase activity, focal adhesion, actin binding, cell substrate junction, organic acid transport, and regulation of transporter activity were significant related to the expression of genes in EALMRGs. Conclusions: Our risk formula shows potential prognostic value in multiple cancers and manifest pivotal alterations in immune infiltration and biological pathway in pancreatic cancer.
引用
收藏
页码:11331 / 11368
页数:38
相关论文
共 106 条
[1]   Methylation of FBN1, SPG20, ITF2, RUNX3, SNCA, MLH1, and SEPT9 genes in circulating cell-free DNA as biomarkers of colorectal cancer [J].
Alizadeh-Sedigh, Maryam ;
Fazeli, Mohammad Sadegh ;
Mahmoodzadeh, Habibollah ;
Sharif, Shahin Behrouz ;
Teimoori-Toolabi, Ladan .
CANCER BIOMARKERS, 2022, 34 (02) :221-250
[2]   P-glycoprotein: from genomics to mechanism [J].
Ambudkar, SV ;
Kimchi-Sarfaty, C ;
Sauna, ZE ;
Gottesman, MM .
ONCOGENE, 2003, 22 (47) :7468-7485
[3]   The involvement of exosomes in the diagnosis and treatment of pancreatic cancer [J].
Ariston Gabriel, Abakundana Nsenga ;
Wang, Fang ;
Jiao, Qinlian ;
Yvette, Umwali ;
Yang, Xuemei ;
Al-Ameri, Samed Ahmed ;
Du, Lutao ;
Wang, Yun-shan ;
Wang, Chuanxin .
MOLECULAR CANCER, 2020, 19 (01)
[4]   NCBI GEO: archive for functional genomics data sets-update [J].
Barrett, Tanya ;
Wilhite, Stephen E. ;
Ledoux, Pierre ;
Evangelista, Carlos ;
Kim, Irene F. ;
Tomashevsky, Maxim ;
Marshall, Kimberly A. ;
Phillippy, Katherine H. ;
Sherman, Patti M. ;
Holko, Michelle ;
Yefanov, Andrey ;
Lee, Hyeseung ;
Zhang, Naigong ;
Robertson, Cynthia L. ;
Serova, Nadezhda ;
Davis, Sean ;
Soboleva, Alexandra .
NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) :D991-D995
[5]   In Pancreatic Adenocarcinoma Alpha-Synuclein Increases and Marks Peri-Neural Infiltration [J].
Bianchini, Matteo ;
Giambelluca, Maria ;
Scavuzzo, Maria Concetta ;
Di Franco, Gregorio ;
Guadagni, Simone ;
Palmeri, Matteo ;
Furbetta, Niccolo ;
Gianardi, Desiree ;
Costa, Aurelio ;
Gentiluomo, Manuel ;
Gaeta, Raffaele ;
Pollina, Luca Emanuele ;
Falcone, Alfredo ;
Vivaldi, Caterina ;
Di Candio, Giulio ;
Biagioni, Francesca ;
Busceti, Carla Letizia ;
Soldani, Paola ;
Puglisi-Allegra, Stefano ;
Morelli, Luca ;
Fornai, Francesco .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (07)
[6]   microRNA analysis of gastric cancer patients from Saudi Arabian population [J].
Bibi, Fehmida ;
Naseer, Muhammad I. ;
Alvi, Sana Akhtar ;
Yasir, Muhammad ;
Jiman-Fatani, Asif A. ;
Sawan, Ali ;
Abuzenadah, Adel M. ;
Al-Qahtani, Mohammed H. ;
Azhar, Esam I. .
BMC GENOMICS, 2015, 17
[7]   Gene Ontology Consortium: going forward [J].
Blake, J. A. ;
Christie, K. R. ;
Dolan, M. E. ;
Drabkin, H. J. ;
Hill, D. P. ;
Ni, L. ;
Sitnikov, D. ;
Burgess, S. ;
Buza, T. ;
Gresham, C. ;
McCarthy, F. ;
Pillai, L. ;
Wang, H. ;
Carbon, S. ;
Dietze, H. ;
Lewis, S. E. ;
Mungall, C. J. ;
Munoz-Torres, M. C. ;
Feuermann, M. ;
Gaudet, P. ;
Basu, S. ;
Chisholm, R. L. ;
Dodson, R. J. ;
Fey, P. ;
Mi, H. ;
Thomas, P. D. ;
Muruganujan, A. ;
Poudel, S. ;
Hu, J. C. ;
Aleksander, S. A. ;
McIntosh, B. K. ;
Renfro, D. P. ;
Siegele, D. A. ;
Attrill, H. ;
Brown, N. H. ;
Tweedie, S. ;
Lomax, J. ;
Osumi-Sutherland, D. ;
Parkinson, H. ;
Roncaglia, P. ;
Lovering, R. C. ;
Talmud, P. J. ;
Humphries, S. E. ;
Denny, P. ;
Campbell, N. H. ;
Foulger, R. E. ;
Chibucos, M. C. ;
Giglio, M. Gwinn ;
Chang, H. Y. ;
Finn, R. .
NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) :D1049-D1056
[8]   Cell Biology and Pathophysiology of α-Synuclein [J].
Burre, Jacqueline ;
Sharma, Manu ;
Sudhof, Thomas C. .
COLD SPRING HARBOR PERSPECTIVES IN MEDICINE, 2018, 8 (03)
[9]   Receptor tyrosine kinases (RTKs) in breast cancer: signaling, therapeutic implications and challenges [J].
Butti, Ramesh ;
Das, Sumit ;
Gunasekaran, Vinoth Prasanna ;
Yadav, Amit Singh ;
Kumar, Dhiraj ;
Kundu, Gopal C. .
MOLECULAR CANCER, 2018, 17
[10]   Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator [J].
Cai, Weixin ;
van der Laan, Mark .
INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2020, 16 (02)