Genome-wide Long Non-coding RNA Analysis Identified Circulating LncRNAs as Novel Non-invasive Diagnostic Biomarkers for Gynecological Disease
Open accessAbstract
Increasing evidence indicates that long non-coding RNAs (lncRNAs) play important roles in human diseases. This study aimed to investigate the tissue and serum lncRNAs that are differentially expressed between patients with endometriosis, a gynecological disease, to evaluate the potential of these lncRNAs as non-invasive markers for the disease. The differentially expressed lncRNAs as competing endogenous RNAs (ceRNAs) were also analyzed to predict their functions in disease development. Genome-wide profiling of lncRNA expression patterns revealed that many lncRNAs were abnormally expressed between sera and tissuesof the patient samples. A set of aberrant differentially expressed lncRNAs were further validated in a validation cohort of 110 serum and 24 tissue samples. Functional analysis predicted that differentially expressed lncRNAs may participate in disease development through crosstalk between the ceRNAs of miRNAs and may be involved in a range of cellular pathways including steroid or hormone responses. We also found a unique set of lncRNAs that were associated with disease severity and progression, and their diagnostic values were also investigated. Our study demonstrated that lncRNAs could potentially serve as non-invasive biomarkers for the diagnosis of endometriosis and as important regulators in the progression of this disease.
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Wang et al. in 2016 identified 1,557 lncRNAs specific to the serum of endometriosis patients.
“They further identified 1,557 lncRNAs specific to the serum and 1,310 lncRNAs specific to the endometriotic tissues of endometriosis patients (112), demonstrating that the function of lncRNAs in serum may be different from that of lncRNAs found in tissue, echoing a similar pattern found in miRNA expression patterns in serum and tissue.”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
The expression level of lncRNA ENST00000482343 is correlated with disease progression in endometriosis.
“Wang et al. (2016) further analyzed the serum samples accounting for different stages of endometriosis and found the expression level of one lncRNA-ENST00000482343-to be correlated with disease progression, suggesting the potential usefulness of the expression pattern of lncRNA in detecting the severity of disease (112).”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
Wang et al. in 2016 identified 1,310 lncRNAs specific to the endometriotic tissues of endometriosis patients.
“They further identified 1,557 lncRNAs specific to the serum and 1,310 lncRNAs specific to the endometriotic tissues of endometriosis patients (112), demonstrating that the function of lncRNAs in serum may be different from that of lncRNAs found in tissue, echoing a similar pattern found in miRNA expression patterns in serum and tissue.”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
The function of lncRNAs in serum may be different from that of lncRNAs found in tissue.
“They further identified 1,557 lncRNAs specific to the serum and 1,310 lncRNAs specific to the endometriotic tissues of endometriosis patients (112), demonstrating that the function of lncRNAs in serum may be different from that of lncRNAs found in tissue, echoing a similar pattern found in miRNA expression patterns in serum and tissue.”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
Circulating lncRNA has potential as a noninvasive diagnostic biomarker for endometriosis.
“In addition, Wang et al. (2016) showed that a combination of five lncRNAs can differentiate patients from disease-free control subjects with 89.7% sensitivity and 73.2% specificity, further demonstrating the potential of circulating lncRNA as a noninvasive diagnostic biomarker for endometriosis (112).”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
Wang et al. in 2016 identified 1,682 lncRNAs with dysregulated expression in the serum of patients.
“Wang et al. in 2016 (112), using a larger cohort of samples from serum and tissue, identified 1,682 and 1,435 lncRNAs with dysregulated expression in the serum and ectopic endometriotic tissues, respectively, of patients (112).”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
Wang et al. in 2016 identified 1,435 lncRNAs with dysregulated expression in ectopic endometriotic tissues of patients.
“Wang et al. in 2016 (112), using a larger cohort of samples from serum and tissue, identified 1,682 and 1,435 lncRNAs with dysregulated expression in the serum and ectopic endometriotic tissues, respectively, of patients (112).”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
A combination of five lncRNAs can differentiate patients from disease-free control subjects with 89.7% sensitivity and 73.2% specificity.
“In addition, Wang et al. (2016) showed that a combination of five lncRNAs can differentiate patients from disease-free control subjects with 89.7% sensitivity and 73.2% specificity, further demonstrating the potential of circulating lncRNA as a noninvasive diagnostic biomarker for endometriosis (112).”
From Biomarkers in endometriosis: Challenges and opportunities (2017) · cites this paper as [112]
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- Authors
- Wang, W.-T., Sun, Y.-M., Huang, W., He, B., Zhao, Y.-N., & Chen, Y.-Q.
- Affiliations
- Sun Yat-sen University (CN)
- ORCID
- Venue
- Scientific Reports
- Published
- 2016-03-18
- Volume
- 6
- Issue
- 1
- Pages
- 23343-23343
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC4796908
- OpenAlex
- W2316695944
- Cited by
- 97
- References
- 57
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 7 · 2022: 10 · 2021: 12 · 2020: 13 · 2019: 11 · 2018: 13 · 2017: 10 · 2016: 10
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Circular RNAs in diseases
- Keywords
- long non-coding RNA, endometriosis, circulating lncRNAs, serum biomarkers, non-invasive diagnosis, competing endogenous RNA, microRNA, disease progression, gynecological diseases, steroid hormone response
- MeSH terms
- Adult, Endometriosis, Female, Gene Expression Regulation, Humans, Middle Aged, Biomarkers, Genetic Predisposition to Disease, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Young Adult, RNA, Long Noncoding
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