Non-coding RNA as Prognostic and Diagnostic Biomarkers in Thoracic Oncology

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106

authors

16

articles

Non-coding RNA as Prognostic and Diagnostic Biomarkers in Thoracic Oncology

55K

views

106

authors

16

articles

Editors

4

Desi Shang

Harbin Medical University

Wei Jiang

First Affiliated Hospital of Fujian Medical University

Yan Gu

National Key Laboratory of Immunology

Huihui Fan

University of Texas Health Science Center at Houston

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Thoracic malignancies, including lung cancer, esophageal cancer, breast cancer, and more, are one of the major global health problems. Non-coding RNAs (ncRNAs), emerging as important regulators in various physiological conditions and pathological processes, have also been reported as such in thoracic malignancies. They play a critical role in carcinogenesis and progression, tumor immunology, as well as drug sensitivity/resistance of cancer cells. The genomic alterations and expression profiles of ncRNA genes are characteristics of thoracic cancers. Accumulating evidence suggests that the aberrantly expressed ncRNAs are potential prognostic/diagnostic biomarkers and therapeutic targets.

This Research Topic aims at promoting the understanding of ncRNAs in thoracic malignancies and providing new insights into their translational application. We welcome Original Research articles, Methods, Reviews, Mini Reviews, Perspectives and Opinions on the sub-themes below:

- Non-coding RNAs as diagnostic biomarkers for pathologic and histologic classification approaches
- Application of high-throughput data to detect ncRNAs as novel diagnostic and prognostic biomarkers
- Characterization of competitive endogenous RNA network to reveal the role of ncRNAs in thoracic cancers
- Non-coding RNAs as prognostic biomarkers for drug sensitivity/resistance, and metastasis
- Immunology and immunotherapy-related diagnostic and prognostic ncRNAs

Submissions not in scope for this specialty include:
Those consisting solely of bioinformatic investigation of publicly available genomic / transcriptomic data without experimental or in situ validation to support conclusions.

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Editors

Desi Shang

Harbin Medical University

Wei Jiang

First Affiliated Hospital of Fujian Medical University

Yan Gu

National Key Laboratory of Immunology

Huihui Fan

University of Texas Health Science Center at Houston

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55,049 Total views

34,572 Article views

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Published In

Frontiers in Oncology

Cancer Genetics

Frontiers in Genetics

Cancer Genetics

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