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Journal of Environmental Pathology, Toxicology and Oncology

Publication de 4  numéros par an

ISSN Imprimer: 0731-8898

ISSN En ligne: 2162-6537

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 2.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.8 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00049 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.59 SJR: 0.429 SNIP: 0.507 CiteScore™:: 3.9 H-Index: 49

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Differential Analysis of IncRNAs and mRNAs Expression in HCC and the Predictive Value of lncRNAs

Volume 40, Numéro 4, 2021, pp. 73-85
DOI: 10.1615/JEnvironPatholToxicolOncol.2021039724
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RÉSUMÉ

Background: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death. However, the molecular mechanism of its pathogenesis is still unclear. This study analyzed the pathophysiology of HCC based on the perspective of lncRNAs and mRNAs expression to find effective diagnostic strategies and prognostic markers.
Methods: Data for HCC patients and normal controls were downloaded from the GEO and TCGA databases. LncRNAs and mRNAs differentially expressed in HCC patients were screened by R language (3.6.0). The ROC curves of the ten lncRNAs with the most significant expression differences were drawn, and survival analysis was conducted. Then, the differentially expressed mRNAs were annotated by using GO and KEGG databases. The protein-protein interactions in the lncRNA-mRNA coexpression network were analyzed with the STRING database. Tissue and cell experiments were performed to verify the results of bioinformatics analysis.
Results: A large number of differentially expressed lncRNAs and mRNAs in HCC were correlated. Four lncRNAs were significantly associated with the prognosis of HCC patients. These differentially expressed lncRNAs mainly regulated the proliferation and lipid metabolism of HCC. Cell experiments confirmed that lnc-MMADHC-5 could inhibit the development of HCC.
Conclusion: lncRNAs regulated the proliferation and lipid metabolism of HCC. Lnc-APBB1-1, lnc-FBXO42-1, lnc-JAKMIP2-1, and lnc-MMADHC-5 might be prognostic markers for HCC. Lnc-MMADHC-5 could inhibit the development of HCC.

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CITÉ PAR
  1. Dai Yu-yang, Gao Yi-ping, Chen Lin-xin, Liu Jin-song, Zeng Cheng, Zhou Jian-dong, Wu Hong-lin, Predicting prognosis and immune responses in hepatocellular carcinoma based on N7-methylguanosine-related long noncoding RNAs, Frontiers in Genetics, 13, 2022. Crossref

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