Long non‐coding RNAs as potential biomarkers in the prognosis and diagnosis of lung cancer: A review and target analysis
Long non‐coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths world...
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| Published in: | IUBMB life Vol. 73; no. 2; pp. 307 - 327 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.02.2021
Wiley Subscription Services, Inc |
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| ISSN: | 1521-6543, 1521-6551, 1521-6551 |
| Online Access: | Get full text |
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| Abstract | Long non‐coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths worldwide. Generally, lncRNAs may be associated with lung tumor pathogenesis and they may act as biomarkers for the cancer prognosis and diagnosis. Compared to other invasive prognostic and diagnostic methods, detection of lncRNAs might be a user‐friendly and noninvasive method. In this review article, we selected 27 tumor‐associated lncRNAs by literature reviewing to further discussing in detail for using as diagnostic and prognostic biomarkers in lung cancer. Also, in an in silico target analysis, the “Experimentally supported functional regulation” approach of the LncTarD web tool was used to identifying the target genes and regulatory mechanisms of the selected lncRNAs. The reports on diagnostic and prognostic potential of all selected lncRNAs were discussed. However, the target genes and regulatory mechanisms of the 22 lncRNAs were identified by in silico analysis and we found the pathways that are controlled by each target group of lncRNAs. They use epigenetic mechanisms, ceRNA mechanisms, protein interaction and sponge mechanism. Also, 10, 23, 5, and 28 target genes for each of these mechanisms were identified, respectively. Finally, each group of target genes controls 50, 12, 7, and 2 molecular pathways, respectively. In conclusion, LncRNAs could be used as biomarkers in lung cancer due to their roles in control of several signaling pathways related to lung tumors. Also, it seems that lncRNAs, which use epigenetic mechanisms for modulating a large number of pathways, could be considered as important subjects for lung cancer‐related diagnostic and prognostic biomarkers. |
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| AbstractList | Long non‐coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths worldwide. Generally, lncRNAs may be associated with lung tumor pathogenesis and they may act as biomarkers for the cancer prognosis and diagnosis. Compared to other invasive prognostic and diagnostic methods, detection of lncRNAs might be a user‐friendly and noninvasive method. In this review article, we selected 27 tumor‐associated lncRNAs by literature reviewing to further discussing in detail for using as diagnostic and prognostic biomarkers in lung cancer. Also, in an in silico target analysis, the “Experimentally supported functional regulation” approach of the LncTarD web tool was used to identifying the target genes and regulatory mechanisms of the selected lncRNAs. The reports on diagnostic and prognostic potential of all selected lncRNAs were discussed. However, the target genes and regulatory mechanisms of the 22 lncRNAs were identified by in silico analysis and we found the pathways that are controlled by each target group of lncRNAs. They use epigenetic mechanisms, ceRNA mechanisms, protein interaction and sponge mechanism. Also, 10, 23, 5, and 28 target genes for each of these mechanisms were identified, respectively. Finally, each group of target genes controls 50, 12, 7, and 2 molecular pathways, respectively. In conclusion, LncRNAs could be used as biomarkers in lung cancer due to their roles in control of several signaling pathways related to lung tumors. Also, it seems that lncRNAs, which use epigenetic mechanisms for modulating a large number of pathways, could be considered as important subjects for lung cancer‐related diagnostic and prognostic biomarkers. Long non-coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths worldwide. Generally, lncRNAs may be associated with lung tumor pathogenesis and they may act as biomarkers for the cancer prognosis and diagnosis. Compared to other invasive prognostic and diagnostic methods, detection of lncRNAs might be a user-friendly and noninvasive method. In this review article, we selected 27 tumor-associated lncRNAs by literature reviewing to further discussing in detail for using as diagnostic and prognostic biomarkers in lung cancer. Also, in an in silico target analysis, the "Experimentally supported functional regulation" approach of the LncTarD web tool was used to identifying the target genes and regulatory mechanisms of the selected lncRNAs. The reports on diagnostic and prognostic potential of all selected lncRNAs were discussed. However, the target genes and regulatory mechanisms of the 22 lncRNAs were identified by in silico analysis and we found the pathways that are controlled by each target group of lncRNAs. They use epigenetic mechanisms, ceRNA mechanisms, protein interaction and sponge mechanism. Also, 10, 23, 5, and 28 target genes for each of these mechanisms were identified, respectively. Finally, each group of target genes controls 50, 12, 7, and 2 molecular pathways, respectively. In conclusion, LncRNAs could be used as biomarkers in lung cancer due to their roles in control of several signaling pathways related to lung tumors. Also, it seems that lncRNAs, which use epigenetic mechanisms for modulating a large number of pathways, could be considered as important subjects for lung cancer-related diagnostic and prognostic biomarkers.Long non-coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths worldwide. Generally, lncRNAs may be associated with lung tumor pathogenesis and they may act as biomarkers for the cancer prognosis and diagnosis. Compared to other invasive prognostic and diagnostic methods, detection of lncRNAs might be a user-friendly and noninvasive method. In this review article, we selected 27 tumor-associated lncRNAs by literature reviewing to further discussing in detail for using as diagnostic and prognostic biomarkers in lung cancer. Also, in an in silico target analysis, the "Experimentally supported functional regulation" approach of the LncTarD web tool was used to identifying the target genes and regulatory mechanisms of the selected lncRNAs. The reports on diagnostic and prognostic potential of all selected lncRNAs were discussed. However, the target genes and regulatory mechanisms of the 22 lncRNAs were identified by in silico analysis and we found the pathways that are controlled by each target group of lncRNAs. They use epigenetic mechanisms, ceRNA mechanisms, protein interaction and sponge mechanism. Also, 10, 23, 5, and 28 target genes for each of these mechanisms were identified, respectively. Finally, each group of target genes controls 50, 12, 7, and 2 molecular pathways, respectively. In conclusion, LncRNAs could be used as biomarkers in lung cancer due to their roles in control of several signaling pathways related to lung tumors. Also, it seems that lncRNAs, which use epigenetic mechanisms for modulating a large number of pathways, could be considered as important subjects for lung cancer-related diagnostic and prognostic biomarkers. Long non‐coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however, there is not enough knowledge available on their expression and functional profiles. Lung cancer is the leading cause of the cancer deaths worldwide. Generally, lncRNAs may be associated with lung tumor pathogenesis and they may act as biomarkers for the cancer prognosis and diagnosis. Compared to other invasive prognostic and diagnostic methods, detection of lncRNAs might be a user‐friendly and noninvasive method. In this review article, we selected 27 tumor‐associated lncRNAs by literature reviewing to further discussing in detail for using as diagnostic and prognostic biomarkers in lung cancer. Also, in an in silico target analysis, the “Experimentally supported functional regulation” approach of the LncTarD web tool was used to identifying the target genes and regulatory mechanisms of the selected lncRNAs. The reports on diagnostic and prognostic potential of all selected lncRNAs were discussed. However, the target genes and regulatory mechanisms of the 22 lncRNAs were identified by in silico analysis and we found the pathways that are controlled by each target group of lncRNAs. They use epigenetic mechanisms, ceRNA mechanisms, protein interaction and sponge mechanism. Also, 10, 23, 5, and 28 target genes for each of these mechanisms were identified, respectively. Finally, each group of target genes controls 50, 12, 7, and 2 molecular pathways, respectively. In conclusion, LncRNAs could be used as biomarkers in lung cancer due to their roles in control of several signaling pathways related to lung tumors. Also, it seems that lncRNAs, which use epigenetic mechanisms for modulating a large number of pathways, could be considered as important subjects for lung cancer‐related diagnostic and prognostic biomarkers. |
| Author | Zafari, Venus Ansarin, Khalil Seyedrezazadeh, Ensiyeh Bakhtiyari, Nasim Rahbarnia, Leila Asadi, Milad Zarredar, Habib Shanehbandi, Dariush Eyvazi, Shirin Aftabi, Younes Khalili, Majid Amiri‐Sadeghan, Amir |
| Author_xml | – sequence: 1 givenname: Younes surname: Aftabi fullname: Aftabi, Younes organization: Tabriz University of Medical Science – sequence: 2 givenname: Khalil surname: Ansarin fullname: Ansarin, Khalil organization: Tabriz University of Medical Science – sequence: 3 givenname: Dariush surname: Shanehbandi fullname: Shanehbandi, Dariush organization: Tabriz University of Medical Sciences – sequence: 4 givenname: Majid surname: Khalili fullname: Khalili, Majid organization: Tabriz University of Medical Science – sequence: 5 givenname: Ensiyeh surname: Seyedrezazadeh fullname: Seyedrezazadeh, Ensiyeh organization: Tabriz University of Medical Science – sequence: 6 givenname: Leila surname: Rahbarnia fullname: Rahbarnia, Leila organization: Tabriz University of Medical Sciences – sequence: 7 givenname: Milad surname: Asadi fullname: Asadi, Milad organization: Tabriz University of Medical Sciences – sequence: 8 givenname: Amir surname: Amiri‐Sadeghan fullname: Amiri‐Sadeghan, Amir organization: Tabriz University of Medical Science – sequence: 9 givenname: Venus surname: Zafari fullname: Zafari, Venus organization: Tabriz University of Medical Science – sequence: 10 givenname: Shirin surname: Eyvazi fullname: Eyvazi, Shirin organization: Tabriz University of Medical Science – sequence: 11 givenname: Nasim surname: Bakhtiyari fullname: Bakhtiyari, Nasim organization: Tabriz University of Medical Science – sequence: 12 givenname: Habib orcidid: 0000-0002-7217-7521 surname: Zarredar fullname: Zarredar, Habib email: habib_zarredar@yahoo.com organization: Tabriz University of Medical Science |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33369006$$D View this record in MEDLINE/PubMed |
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| Copyright | 2020 International Union of Biochemistry and Molecular Biology 2020 International Union of Biochemistry and Molecular Biology. 2021 International Union of Biochemistry and Molecular Biology |
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| Keywords | lncRNAs lung cancer diagnosis molecular biomarkers prognosis |
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| Snippet | Long non‐coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however,... Long non-coding RNAs (lncRNA) have been emerged as a novel class of molecular regulators in cancer. They are dysregulated in many types of cancer; however,... |
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| SubjectTerms | Biomarkers Biomarkers, Tumor - genetics Diagnosis Epigenetics Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Invasiveness lncRNAs Lung cancer Lung Neoplasms - diagnosis Lung Neoplasms - therapy Medical prognosis molecular biomarkers Non-coding RNA Prognosis RNA, Long Noncoding - genetics Tumors |
| Title | Long non‐coding RNAs as potential biomarkers in the prognosis and diagnosis of lung cancer: A review and target analysis |
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