Literature DB >> 34132945

Correlation between expression levels of lncRNA FER1L4 and RB1 in patients with colorectal cancer.

Marjan Ostovarpour1, Mohammad Khalaj-Kondori2, Tayyebeh Ghasemi1.   

Abstract

Colorectal cancer (CRC) is a major life-threatening malignancy. Studies demonstrated the lncRNA fer-1 like family member 4 (FER1L4) was downregulated in different cancers and its expression was positively correlated with the retinoblastoma 1 (RB1) mRNA in a competing endogenous RNAs network. We investigated expression levels of FER1L4 and RB1 in patients with colorectal cancer. 50 paired colorectal tumors and non-tumor marginal tissues, 30 paired adenomatous colorectal polyps (ACPs) and matched adjacent normal tissues were obtained from the patients. Total RNA was extracted from the samples and cDNAs were synthesized. Their expression was quantified by qRT-PCR. Correlation between FER1L4 and RB1 expression levels was analyzed by Pearson correlation test. Finally, ROC curve analysis was used to evaluate their biomarker potency. We observed significant downregulation of FER1L4, but upregulation of RB1 in the colorectal tumors compared with non-tumor and the polyp tissues. However, RB1 expression was positively correlated with FER1L4 expression both in the tumor and polyp samples. ROC curve analysis showed both FER1L4 and RB1 expression levels could discriminate tumor from non-tumor and tumor from polyp samples. None of the clinicopathological characteristics of patients were associated with FER1L4 or RB1 expression levels. Despite the downregulation of FER1L4 and upregulation of RB1 in tumors compared with non-tumor tissues, the expression of RB1 was positively correlated with the expression of FER1L4 in the colorectal tumor as well as in the polyp tissues. FER1L4 expression level might be considered as a potential biomarker for colorectal cancer development.

Entities:  

Keywords:  Colorectal cancer; Downregulation; FER1L4; Gene expression; RB1; Upregulation

Mesh:

Substances:

Year:  2021        PMID: 34132945     DOI: 10.1007/s11033-021-06488-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  34 in total

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4.  lncRNA-miRNA-mRNA interaction network for colorectal cancer; An in silico analysis.

Authors:  Tayyebeh Ghasemi; Mohammad Khalaj-Kondori; Mohammad Ali Hosseinpour Feizi; Parviz Asadi
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Journal:  Cancer Res Treat       Date:  2018-10-18       Impact factor: 4.679

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  2 in total

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2.  Dysregulated Expression of Three Genes in Colorectal Cancer Stratifies Patients into Three Risk Groups.

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  2 in total

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