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      Development and Clinical Validation of a Novel 4-Gene Prognostic Signature Predicting Survival in Colorectal Cancer

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          Abstract

          In this study, we collected genes related to energy metabolism, used gene expression data from public databases to classify molecular subtypes of colon cancer (COAD) based on the genes related to energy metabolism, and further evaluated the relationships between the molecular subtypes and prognosis and clinical characteristics. Differential expression analysis of the molecular subtypes yielded 1948 differentially expressed genes (DEGs), whose functions were closely related to the occurrence and development of cancer. Based on the DEGs, we constructed a 4-gene prognostic risk model and identified the high expression of FOXD4, ENPEP, HOXC6, and ALOX15B as a risk factor associated with a high risk of developing COAD. The 4-gene signature has strong robustness and a stable predictive performance in datasets from different platforms not only in patients with early COAD but also in all patients with colon cancer. The enriched pathways of the 4-gene signature in the high- and low-risk groups obtained by GSEA were significantly related to the occurrence and development of colon cancer. Moreover, the results of qPCR, immunohistochemistry staining and Western blot assay revealed that FOXD4, ENPEP, HOXC6, and ALOX15B are over expressed in CRC tissues and cells. These results suggesting that the signature could potentially be used as a prognostic marker for clinical diagnosis.

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          Most cited references22

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          NCCN Guidelines Insights: Colon Cancer, Version 2.2018

          The NCCN Guidelines for Colon Cancer provide recommendations regarding diagnosis, pathologic staging, surgical management, perioperative treatment, surveillance, management of recurrent and metastatic disease, and survivorship. These NCCN Guidelines Insights summarize the NCCN Colon Cancer Panel discussions for the 2018 update of the guidelines regarding risk stratification and adjuvant treatment for patients with stage III colon cancer, and treatment of BRAF V600E mutation-positive metastatic colorectal cancer with regimens containing vemurafenib.
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            Mitochondria and cancer chemoresistance.

            Mitochondria, known for more than a century as the energy powerhouse of a cell, represent key intracellular signaling hub that are emerging as important determinants of several aspects of cancer development and progression, including metabolic reprogramming, acquisition of metastatic capability, and response to chemotherapeutic drugs. The majority of cancer cells harbors somatic mutations in the mitochondrial genome (mtDNA) and/or alterations in the mtDNA content, leading to mitochondrial dysfunction. Decreased mtDNA content is also detected in tumor-initiating cells, a subpopulation of cancer cells that are believed to play an integral role in cancer recurrence following chemotherapy. Although mutations in mitochondrial genes are common in cancer cells, they do not shut down completely the mitochondrial energy metabolism and functionality. Instead, they promote rewiring of the bioenergetics and biosynthetic profile of a cancer cell through a mitochondria-to-nucleus signaling activated by "dysfunctional" mitochondria that results in changes in transcription and/or activity of cancer-related genes and signaling pathways. Different cancer cell types may undergo different bioenergetic changes, some to more glycolytic and some to more oxidative. These different metabolic signatures may coexist within the same tumor mass (intra-tumor heterogeneity). In this review we describe the current understanding of mitochondrial dysfunction in the context of cancer chemoresistance with special attention to the role of mtDNA alterations. We put emphasis on potential therapeutic strategies targeting different metabolic events specific to cancer cells, including glycolysis, glutaminolysis, oxidative phosphorylation, and the retrograde signaling, to prevent chemoresistance. We also highlight novel genome-editing strategies aimed at "correcting" mtDNA defects in cancer cells. We conclude on the importance of considering intratumor metabolic heterogeneity to develop effective metabolism-based cancer therapy that can overcome chemoresistance. This article is part of a Special Issue entitled Mitochondria in Cancer, edited by Giuseppe Gasparre, Rodrigue Rossignol and Pierre Sonveaux.
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              miR-125a-3p/FUT5-FUT6 axis mediates colorectal cancer cell proliferation, migration, invasion and pathological angiogenesis via PI3K-Akt pathway

              The fucosyltransferase (FUT) family produces glycans, a fundamental event in several cancers, including colorectal cancer (CRC). miR-125a-3p is a non-coding RNA that can reduce cell proliferation and migration in cancer. In this study, we explored the levels of miR-125a-3p and FUT expression in human CRC tissues and two human CRC cell lines by qPCR. The results showed that miR-125a-3p, FUT5 and FUT6 are differentially expressed in normal and tumour tissues. On the basis of our previous research, FUT can be regulated by miRNA, which influences the proliferation and invasion of breast and hepatocellular cancer cells. We hypothesised that FUT5 and FUT6 may be regulated by miR-125a-3p. Luciferase reporter analyses were applied to identify potential target genes of miR-125a-3p. A functional study showed that miR-125a-3p overexpression can inhibit the proliferation, migration, invasion and angiogenesis of CRC cells via down-regulating FUT5 and FUT6. In addition, regulating miR-125a-3p, FUT5 or FUT6 expression markedly modulated the activity of the PI3K/Akt signalling pathway, and this effect of FUT5 or FUT6 could be reversed by transfection with miR-125a-3p-mimics. Taken together, our data suggest that both FUT5 and FUT6 can promote the development of CRC via the PI3K/Akt signalling pathway, which is regulated by miR-125a-3p. miR-125a-3p may serve as a predictive biomarker and a potential therapeutic target in CRC treatment.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                20 May 2020
                2020
                : 10
                : 595
                Affiliations
                Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai, China
                Author notes

                Edited by: Steven M. Lipkin, Cornell University, United States

                Reviewed by: Juan Xiu Qu, The First Hospital of China Medical University, China; Parvin Mehdipour, Tehran University of Medical Sciences, Iran

                *Correspondence: Peng Sun sp2082@ 123456shtrhospital.com

                This article was submitted to Cancer Genetics, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2020.00595
                7251179
                32509568
                ea6992cc-ed25-4761-888b-a25dc0d7e815
                Copyright © 2020 Yuan, Chen, Wang, Xu, Zhang, Sun and Liang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 December 2019
                : 31 March 2020
                Page count
                Figures: 11, Tables: 5, Equations: 2, References: 33, Pages: 15, Words: 7228
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                energy metabolism,colon cancer,genes,prognosis,survival
                Oncology & Radiotherapy
                energy metabolism, colon cancer, genes, prognosis, survival

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