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Journal of Environmental Pathology, Toxicology and Oncology

Publicou 4 edições por ano

ISSN Imprimir: 0731-8898

ISSN On-line: 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

Indexed in

Identification of Potential Oncogenic Long Non-Coding RNA Set as a Biomarker Associated with Colon Cancer Prognosis

Volume 39, Edição 1, 2020, pp. 39-49
DOI: 10.1615/JEnvironPatholToxicolOncol.2020032351
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RESUMO

Colon cancer (CC) is the most common type of gastrointestinal cancer and is the third leading cause of cancer patient's death worldwide. Long non-coding RNAs (lncRNAs) are important regulatory molecules involved in various cellular processes, and many of them are shown as significant prognosis biomarkers of malignant tumors. In the present study, we identified differentially expressed lncRNAs between CC and adjacent normal tissues based on two TCGA database (GEPIA and circlncRNAnet). Over 1500 differentially expressed lncRNAs between CC and adjacent normal tissues were obtained based on these two websites, and 72 lncRNAs (FC > = 2, Log2 (TPM+1) > 1, P < 0.05) were chosen for further analysis. Seventeen of them were CC specific-expressed lncRNAs. We then evaluated the expression of the 17 lncRNAs in diverse tumor stage. LncRNA double homeobox A pseudogene 8 (DUXAP8), RP11-54H7.4, and RP11-138J23.1 showed higher expression in later tumor stages. Built on survival analysis, we found that high expression of DUXAP8 and ELFN1 antisense RNA 1 (ELFN1-AS1) predicts poor prognosis in CC. In addition, high expression of the 17 lncRNAs set predicts poor prognosis in CC. This study provides a new way to evaluate the prognosis of CC.

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