9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identification of LINC00654-NINL Regulatory Axis in Diffuse Large B-Cell Lymphoma In Silico Analysis

      research-article

      Read this article at

      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

          Background

          The long non-coding RNA (lncRNA)-mRNA regulation network plays an important role in the development of diffuse large B-cell lymphoma (DLBCL). This study uses bioinformatics to find an innovative regulation axis in DLBCL that will provide a positive reference for defining the mechanism of disease progression.

          Methods

          Batch Cox regression was used to screen prognosis-related lncRNAs, and a random forest model was used to identify hub lncRNA. The clinical value of the lncRNA was evaluated and Spearman correlation analysis was used to predict the candidate target genes. Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were used to define the biological function of the lncRNA. A batch Cox regression model, expression validation, and Spearman correlation analysis were used to select the best downstream target genes. The expression and prognostic value validation of this gene was conducted using public data. Gene Set Enrichment Analysis (GSEA) was performed to explore potential mechanisms for this gene in DLBCL.

          Results

          LINC00654 was identified as the hub lncRNA and 1443 mRNAs were selected as downstream target genes of the lncRNA. The target genes were enriched in the regulation of GTPase and Notch signaling pathways. After validation, the ninein-like (NINL) gene was selected as the potential target of LINC00654 and the LINC00654-NINL axis was constructed. Patients with better responses to therapy were shown to have high NINL gene expression (p-value = 0.036). NINL also had high expression in the DB cell line and low expression in the OCILY3 cell line. Survival analysis showed that high NINL expression was a risk factor for overall survival (OS) and disease-specific survival (DSS) within older patients and those with advanced-stage cancer. GSEA results showed that NINL may be involved in neutrophil-mediated immunity and NF-κB signaling.

          Conclusion

          This study identified a novel LncRNA00654-NINL regulatory axis in DLBCL, which could provide a favorable reference for exploring the possible mechanisms of disease progression.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          Gene regulation by long non-coding RNAs and its biological functions

          Evidence accumulated over the past decade shows that long non-coding RNAs (lncRNAs) are widely expressed and have key roles in gene regulation. Recent studies have begun to unravel how the biogenesis of lncRNAs is distinct from that of mRNAs and is linked with their specific subcellular localizations and functions. Depending on their localization and their specific interactions with DNA, RNA and proteins, lncRNAs can modulate chromatin function, regulate the assembly and function of membraneless nuclear bodies, alter the stability and translation of cytoplasmic mRNAs and interfere with signalling pathways. Many of these functions ultimately affect gene expression in diverse biological and physiopathological contexts, such as in neuronal disorders, immune responses and cancer. Tissue-specific and condition-specific expression patterns suggest that lncRNAs are potential biomarkers and provide a rationale to target them clinically. In this Review, we discuss the mechanisms of lncRNA biogenesis, localization and functions in transcriptional, post-transcriptional and other modes of gene regulation, and their potential therapeutic applications.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Long non-coding RNAs: insights into functions.

            In mammals and other eukaryotes most of the genome is transcribed in a developmentally regulated manner to produce large numbers of long non-coding RNAs (ncRNAs). Here we review the rapidly advancing field of long ncRNAs, describing their conservation, their organization in the genome and their roles in gene regulation. We also consider the medical implications, and the emerging recognition that any transcript, regardless of coding potential, can have an intrinsic function as an RNA.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

              Diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin's lymphoma, is clinically heterogeneous: 40% of patients respond well to current therapy and have prolonged survival, whereas the remainder succumb to the disease. We proposed that this variability in natural history reflects unrecognized molecular heterogeneity in the tumours. Using DNA microarrays, we have conducted a systematic characterization of gene expression in B-cell malignancies. Here we show that there is diversity in gene expression among the tumours of DLBCL patients, apparently reflecting the variation in tumour proliferation rate, host response and differentiation state of the tumour. We identified two molecularly distinct forms of DLBCL which had gene expression patterns indicative of different stages of B-cell differentiation. One type expressed genes characteristic of germinal centre B cells ('germinal centre B-like DLBCL'); the second type expressed genes normally induced during in vitro activation of peripheral blood B cells ('activated B-like DLBCL'). Patients with germinal centre B-like DLBCL had a significantly better overall survival than those with activated B-like DLBCL. The molecular classification of tumours on the basis of gene expression can thus identify previously undetected and clinically significant subtypes of cancer.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                26 May 2022
                2022
                : 12
                : 883301
                Affiliations
                [1] 1Department of Hematology, The First Affiliated Hospital of Wannan Medical College , WuHu, China
                [2] 2Department of Biology, Chemistry, Pharmacy, Free University of Berlin , Berlin, Germany
                [3] 3Department of Clinical and Surgery, Moscow State First Medical University , Moscow, Russia
                [4] 4Department of Surgery, I.M. Sechenov First Moscow State Medical University , Moscow, Russia
                [5] 5College of Pharmacy, Xiangnan University , Chenzhou, China
                Author notes

                Edited by: Zhenjian Zhuo, Guangzhou Medical University, China

                Reviewed by: Renfei Du, Heinrich Heine University of Düsseldorf, Germany; Jianying Xu, Sun Yat-sen University Cancer Center (SYSUCC), China; Shahram Arsang-Jang, Zanjan University of Medical Sciences, Iran

                *Correspondence: Qunlong Peng, pengqunlong@ 123456163.com ; Jing Qi, qijing@ 123456wnmc.edu.cn

                †These authors have contributed equally to this work

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

                Article
                10.3389/fonc.2022.883301
                9204339
                35719990
                35fe0b75-e743-4765-b2c8-e9ca45d9a051
                Copyright © 2022 Chen, Li, Wang, Wu, Zhang, Yan, Wei, Peng and Qi

                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
                : 24 February 2022
                : 22 April 2022
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 33, Pages: 11, Words: 4443
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                dlbcl,ninl,random forest,linc00654,mechnism
                Oncology & Radiotherapy
                dlbcl, ninl, random forest, linc00654, mechnism

                Comments

                Comment on this article