For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
Inviting an author to review:
The Fas/Fap-1/Cav-1 complex regulates IL-1RA secretion in mesenchymal stem cells to accelerate wound healing
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
34
views
65
references
 Top references
cited by
76
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      1,127
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      LncRNAs regulate metabolism in cancer

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Metabolic reprogramming is a hallmark of cancer. Mammalian genome is characterized by pervasive transcription, generating abundant non-coding RNAs (ncRNAs). Long non-coding RNAs (lncRNAs) are freshly discovered functional ncRNAs exerting extensive regulatory impact through diverse mechanisms. Emerging studies have revealed widespread roles of lncRNAs in the regulation of various cellular activities, including metabolic pathways. In this review, we summarize the latest advances regarding the regulatory roles of lncRNAs in cancer metabolism, particularly their roles in mitochondrial function, glucose, glutamine, and lipid metabolism. Moreover, we discuss the clinical application and challenges of targeting lncRNAs in cancer metabolism. Understanding the complex and special behavior of lncRNAs will allow a better depiction of cancer metabolic networks and permit the development of lncRNA-based clinical therapies by targeting cancer metabolism.

          Related collections

          Most cited references65

          • Record: found
          • Abstract: found
          • Article: found

          On the origin of cancer cells.

          O WARBURG (1956)
          Article 0 comments Cited 2462 times – based on 0 reviews     Review now
          Article has an altmetric score of 124
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            ROS as signalling molecules: mechanisms that generate specificity in ROS homeostasis.

            Benoît D'Autréaux, Michel B Toledano (2007)
            Reactive oxygen species (ROS) have been shown to be toxic but also function as signalling molecules. This biological paradox underlies mechanisms that are important for the integrity and fitness of living organisms and their ageing. The pathways that regulate ROS homeostasis are crucial for mitigating the toxicity of ROS and provide strong evidence about specificity in ROS signalling. By taking advantage of the chemistry of ROS, highly specific mechanisms have evolved that form the basis of oxidant scavenging and ROS signalling systems.
            Article 0 comments Cited 1057 times – based on 0 reviews     Review now
            Article has an altmetric score of 15
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

              Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway

              Vasanthi S Viswanathan, Matthew J. Ryan, Harshil D Dhruv … (2017)
              Plasticity of the cell state has been proposed to drive resistance to multiple classes of cancer therapies, thereby limiting their effectiveness. A high-mesenchymal cell state observed in human tumours and cancer cell lines has been associated with resistance to multiple treatment modalities across diverse cancer lineages, but the mechanistic underpinning for this state has remained incompletely understood. Here we molecularly characterize this therapy-resistant high-mesenchymal cell state in human cancer cell lines and organoids and show that it depends on a druggable lipid-peroxidase pathway that protects against ferroptosis, a non-apoptotic form of cell death induced by the build-up of toxic lipid peroxides. We show that this cell state is characterized by activity of enzymes that promote the synthesis of polyunsaturated lipids. These lipids are the substrates for lipid peroxidation by lipoxygenase enzymes. This lipid metabolism creates a dependency on pathways converging on the phospholipid glutathione peroxidase (GPX4), a selenocysteine-containing enzyme that dissipates lipid peroxides and thereby prevents the iron-mediated reactions of peroxides that induce ferroptotic cell death. Dependency on GPX4 was found to exist across diverse therapy-resistant states characterized by high expression of ZEB1, including epithelial–mesenchymal transition in epithelial-derived carcinomas, TGFβ-mediated therapy-resistance in melanoma, treatment-induced neuroendocrine transdifferentiation in prostate cancer, and sarcomas, which are fixed in a mesenchymal state owing to their cells of origin. We identify vulnerability to ferroptic cell death induced by inhibition of a lipid peroxidase pathway as a feature of therapy-resistant cancer cells across diverse mesenchymal cell-state contexts.
              Article 0 comments Cited 873 times – based on 0 reviews     Review now
              Article has an altmetric score of 135
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Biol Sci
                Journal ID (iso-abbrev): Int. J. Biol. Sci
                Journal ID (publisher-id): ijbs
                Title: International Journal of Biological Sciences
                Publisher: Ivyspring International Publisher (Sydney )
                ISSN (Electronic): 1449-2288
                Publication date Collection: 2020
                Publication date (Electronic): 10 February 2020
                Volume: 16
                Issue: 7
                Pages: 1194-1206
                Affiliations
                [1 ]Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, Zhejiang, China
                [2 ]Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, Zhejiang, China
                [3 ]Department of Pathology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang 322100, Zhejiang, China
                [4 ]Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, Zhejiang, China
                [5 ]Department of Obstetrics and Gynecology, Zhejiang Xiaoshan Hospital, Hangzhou 311201, Zhejiang, China
                Author notes
                ✉ Corresponding authors: Qiyin Zhou, Ph.D., Email: zhouqiyin@ 123456zju.edu.cn . Hongchuan Jin, M.D., Ph.D., Email: jinhc@ 123456zju.edu.cn

                Competing Interests: The authors have declared that no competing interest exists.

                Article
                Publisher ID: ijbsv16p1194
                DOI: 10.7150/ijbs.40769
                PMC ID: 7053319
                PubMed ID: 32174794
                SO-VID: 7fc51867-1615-4689-9068-33c12767e0f3
                Copyright © © The author(s)
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.

                History
                Date received : 29 September 2019
                Date accepted : 18 January 2020
                Categories
                Subject: Review

                ScienceOpen disciplines: Life sciences
                Keywords: long non-coding rna,cancer,metabolism
                Data availability:
                ScienceOpen disciplines: Life sciences
                Keywords: long non-coding rna, cancer, metabolism

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content1,127

                See all similar

                Cited by75

                See all cited by

                Most referenced authors2,103

                See all reference authors