Development of a two-circular RNA panel as potential prognostic biomarker for gastric cancer.
Development of a two-circular RNA panel as potential prognostic biomarker for gastric cancer.
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开发双环RNA组作为胃癌潜在的预后生物标志物
DOI:
10.1186/s12967-021-03075-y
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发表时间:
2021-10-02
影响因子:
7.4
通讯作者:
Li H
中科院分区:
文献类型:
--
作者:
Liu J;Zhu X;Yan M;Li H
BackgroundCircular RNAs (circRNAs) have attracted increasing attention in recent years for their potential application as disease biomarkers due to their high abundance and stability. In this study, we attempted to screen circRNAs that can be used to predict postoperative recurrence and survival in patients with gastric cancer (GC).MethodsHigh-throughput RNA sequencing was used to identify differentially expressed circRNAs in GC patients with different prognoses. The expression level of circRNAs in the training set (n = 136) and validation set (n = 167) was detected by quantitative real-time PCR (qRT-PCR). Kaplan–Meier estimator, receiver operating characteristic (ROC) curve and cox regression analysis were used to evaluate the prognostic value of circRNAs on recurrence-free survival (RFS) and overall survival (OS) in GC patients. CeRNA network prediction, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for the circRNAs with prognostic significance.ResultsA total of 259 differentially expressed circRNAs were identified in GC patients with different RFS. We found two circRNAs (hsa_circ_0005092 and hsa_circ_0002647) that highly expressed in GC patients with good prognoses, and subsequently established a predictive model for postoperative recurrence and prognosis evaluation, named circPanel. Patients with circPanellowmight have shorter recurrence-free survival (RFS) and overall survival (OS). We also performed circRNA-miRNA-mRNA network prediction and functional analysis for hsa_circ_0005092 and hsa_circ_0002647.ConclusionsCircPanel has the potential to be a prognostic biomarker in GC patients with greater accuracy than a single circRNA and certain traditional tumor markers (e.g., CEA, CA19-9 and CA724).
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影响因子:
4.3
作者:
Matsuoka T;Yashiro M
通讯作者:
Yashiro M
影响因子:
4.6
作者:
Bachmayr-Heyda A;Reiner AT;Auer K;Sukhbaatar N;Aust S;Bachleitner-Hofmann T;Mesteri I;Grunt TW;Zeillinger R;Pils D
通讯作者:
Pils D
DOI:
10.1007/978-3-319-42118-6_6
发表时间:
2016-01-01
期刊:
METABOLISM IN CANCER
影响因子:
--
作者:
Viale, Andrea;Draetta, Giulio F.
通讯作者:
Draetta, Giulio F.
DOI:
10.1007/s10120-006-0360-0
发表时间:
2006-01-01
期刊:
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
影响因子:
--
作者:
Whiting, John;Sano, Takeshi;Sasako, Mitsuru
通讯作者:
Sasako, Mitsuru
DOI:
10.1093/jnci/djx166
发表时间:
2018-03-01
期刊:
Journal of the National Cancer Institute
影响因子:
--
作者:
Yang Y;Gao X;Zhang M;Yan S;Sun C;Xiao F;Huang N;Yang X;Zhao K;Zhou H;Huang S;Xie B;Zhang N
通讯作者:
Zhang N