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 middle fossa approach with self-drilling screws: a novel technique for BONEBRIDGE implantation
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
5
views
38
references
 Top references
cited by
10
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      150
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Development of epithelial-mesenchymal transition-related lncRNA signature for predicting survival and immune microenvironment in pancreatic cancerwithexperiment validation

      research-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

          Long non-coding RNAs (LncRNAs) have crucial function in epithelial–mesenchymal transition (EMT) in pancreatic cancer. It is necessary to comprehensively analyze the potential role of EMT-related lncRNA in pancreatic cancer. In the present study, genomic data of pancreatic cancer from the TCGA database were downloaded and we found 368 EMT-related lncRNAs. According to the expression characteristics of prognostic-related lncRNAs, all samples could be divided into two clusters with different clinical outcomes and different tumor microenvironments. Moreover, an eleven EMT-related lncRNAs signature was established and verified. Patients with pancreatic cancer in the high-risk group had a shorter overall survival than those in the low-risk group and the signature could act as an independent prognostic factor. Further analysis suggested that the EMT-related lncRNAs might affect the prognosis of patients through immune mechanisms. All findings indicated that the signature and eleven lncRNAs might serve as potential prognostic biomarkers and therapeutic targets in the treatment of pancreatic cancer.

          Related collections

          Most cited references38

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

          Cancer Statistics, 2021

          Rebecca Siegel, Kimberly D Miller, Hannah Fuchs … (2021)
          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2017) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2018) were collected by the National Center for Health Statistics. In 2021, 1,898,160 new cancer cases and 608,570 cancer deaths are projected to occur in the United States. After increasing for most of the 20th century, the cancer death rate has fallen continuously from its peak in 1991 through 2018, for a total decline of 31%, because of reductions in smoking and improvements in early detection and treatment. This translates to 3.2 million fewer cancer deaths than would have occurred if peak rates had persisted. Long-term declines in mortality for the 4 leading cancers have halted for prostate cancer and slowed for breast and colorectal cancers, but accelerated for lung cancer, which accounted for almost one-half of the total mortality decline from 2014 to 2018. The pace of the annual decline in lung cancer mortality doubled from 3.1% during 2009 through 2013 to 5.5% during 2014 through 2018 in men, from 1.8% to 4.4% in women, and from 2.4% to 5% overall. This trend coincides with steady declines in incidence (2.2%-2.3%) but rapid gains in survival specifically for nonsmall cell lung cancer (NSCLC). For example, NSCLC 2-year relative survival increased from 34% for persons diagnosed during 2009 through 2010 to 42% during 2015 through 2016, including absolute increases of 5% to 6% for every stage of diagnosis; survival for small cell lung cancer remained at 14% to 15%. Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.
          Article 0 comments Cited 6919 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Robust enumeration of cell subsets from tissue expression profiles

            Aaron Newman, Chih Long Liu, Michael Green … (2015)
            We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen, and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content, and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu).
            Article 0 comments Cited 4849 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression

              Thomas Derrien, Rory Johnson, Giovanni Bussotti … (2012)
              The human genome contains many thousands of long noncoding RNAs (lncRNAs). While several studies have demonstrated compelling biological and disease roles for individual examples, analytical and experimental approaches to investigate these genes have been hampered by the lack of comprehensive lncRNA annotation. Here, we present and analyze the most complete human lncRNA annotation to date, produced by the GENCODE consortium within the framework of the ENCODE project and comprising 9277 manually annotated genes producing 14,880 transcripts. Our analyses indicate that lncRNAs are generated through pathways similar to that of protein-coding genes, with similar histone-modification profiles, splicing signals, and exon/intron lengths. In contrast to protein-coding genes, however, lncRNAs display a striking bias toward two-exon transcripts, they are predominantly localized in the chromatin and nucleus, and a fraction appear to be preferentially processed into small RNAs. They are under stronger selective pressure than neutrally evolving sequences—particularly in their promoter regions, which display levels of selection comparable to protein-coding genes. Importantly, about one-third seem to have arisen within the primate lineage. Comprehensive analysis of their expression in multiple human organs and brain regions shows that lncRNAs are generally lower expressed than protein-coding genes, and display more tissue-specific expression patterns, with a large fraction of tissue-specific lncRNAs expressed in the brain. Expression correlation analysis indicates that lncRNAs show particularly striking positive correlation with the expression of antisense coding genes. This GENCODE annotation represents a valuable resource for future studies of lncRNAs.
              Article 0 comments Cited 944 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Bioengineered
                Journal ID (iso-abbrev): Bioengineered
                Title: Bioengineered
                Publisher: Taylor & Francis
                ISSN (Print): 2165-5979
                ISSN (Electronic): 2165-5987
                Publication date (Electronic, pub): 2 December 2021
                Publication date (Electronic, collection): 2021
                Publication date PMC-release: 2 December 2021
                Volume: 12
                Issue: 2
                Pages: 10553-10567
                Affiliations
                [a ]Pancreas Center, the First Affiliated Hospital of Nanjing Medical University; , Nanjing, People’s Republic of China
                [b ]Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University; , Nanjing, People’s Republic of China
                [c ]Pancreas Center, the Affiliated BenQ Hospital of Nanjing Medical University; , Nanjing, People’s Republic of China
                Author notes
                CONTACT Jiang Kuirong jiangkuirong@ 123456njmu.edu.cn
                Miao Yi miaoyi@ 123456njmu.edu.cn Pancreas Center, the First Affiliated Hospital of Nanjing Medical University; , Nanjing, Jiangsu 210029, People’s Republic of China
                [*]

                These authors contributed equally to this work.

                Article
                Publisher ID: 2000197
                DOI: 10.1080/21655979.2021.2000197
                PMC ID: 8809919
                PubMed ID: 34854360
                SO-VID: 367a9cee-3133-4e4a-adca-45119955ece5
                Copyright © © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
                License:

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 10, Tables: 2, References: 39, Pages: 15
                Categories
                Subject: Research Article
                Subject: Research Paper

                ScienceOpen disciplines: Biomedical engineering
                Keywords: pancreatic cancer,prognostic signature,lncrna,tumorenvironment,epithelial–mesenchymal transition
                Data availability:
                ScienceOpen disciplines: Biomedical engineering
                Keywords: pancreatic cancer, prognostic signature, lncrna, tumorenvironment, epithelial–mesenchymal transition

                Comments

                Comment on this article

                scite_

                Similar content150

                See all similar

                Cited by10

                See all cited by

                Most referenced authors481

                See all reference authors