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pmid:27535740

Long noncoding RNA C17orf91 is a potential prognostic marker and functions as an oncogene in ovarian cancer.

Jun Li · Hailin Yu · Meili Xi · Xin Lu

Journal of ovarian research · 2016 doi:10.1186/s13048-016-0258-3

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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title
Long noncoding RNA C17orf91 is a potential prognostic marker and functions as an oncogene in ovarian cancer.
doi
10.1186/s13048-016-0258-3
pmid
27535740
authors array · 4 items
[0]
Jun Li
[1]
Hailin Yu
[2]
Meili Xi
[3]
Xin Lu
journal
Journal of ovarian research
year
2016
abstract
BACKGROUND: This study was aimed to explore the role of long noncoding RNA C17orf91 and its potential mechanisms in ovarian cancer development. RESULTS: To assess its role in ovarian cancer, microarray datasets (GSE14407, GSE30587, and GSE17260) in Gene Expression Omnibus (GEO) were utilized to assess the expression and clinical significance of C17orf91 in ovarian cancer. Next, loss-of-function studies were performed to establish the role of C17orf91 and the underlying mechanisms in ovarian cancer development. It was found that elevated expression of C17orf91 was observed in omental metastases when compared with matched primary ovarian tumors(GSE30587, P = 0.016). Moreover, Log Rank analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS)(HR = 1.90(1.19-3.03), P = 0.008). Overall survival(OS) also showed a similar trend, but did not reach statistical significance(HR = 1.75(0.97-3.13), P = 0.061). Loss-of-function studies further demonstrated that C17orf91 repression impaired migration, invasion and viability of ovarian cancer cells, and downregulated the pro-metastatic gene, MYC, at both mRNA and protein level. CONCLUSION: Collectively, our findings revealed that C17orf91 was a potential prognostic marker and functioned as an oncogene in ovarian cancer. It remains to be seen whether modulation of C17orf91 expression will cause phenotypic changes in vivo.
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Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).
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sections[14] "The prognostic value of C17orf91 expression in ovarian cancer" paragraph 2
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Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).
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Using Log Rank (Mantel-Cox) analysis of the GEO microarray dataset GSE17260, the study found that increased C17orf91 expression was associated with shorter progression-free survival (HR = 1.90, 95% CI 1.19–3.03; P = 0.008).
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Interestingly, Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).
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sections[14] "The prognostic value of C17orf91 expression in ovarian cancer" paragraph 2
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Next, we assessed the prognostic value of C17orf91 expression by taking advantage of the microarray dataset (GSE17260) in Gene Expression Omnibus.
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sections[14] "The prognostic value of C17orf91 expression in ovarian cancer" paragraph 2
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Interestingly, Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).
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Using Log Rank (Mantel-Cox) analysis of the GEO microarray dataset GSE17260, the study found that increased C17orf91 expression was associated with shorter progression-free survival (HR = 1.90, 95% CI 1.19–3.03; P = 0.008).
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Prediction of progression-free survival in patients with advanced-stage serous ovarian cancer
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SULTS: To assess its role in ovarian cancer, microarray datasets (GSE14407, GSE30587, and GSE17260)
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f91 expression will cause phenotypic changes in vivo.
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Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).
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Next, loss-of-function studies were performed to establish the role of C17orf91 and the underlying mechanisms in ovarian cancer development. It was found that elevated expression of C17orf91 was observed in omental metastases when compared with matched primary ovarian tumors(GSE30587, P = 0.016). Moreover, Log Rank analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS)(HR = 1.90(1.19-3.03), P = 0.008). Overall survival(OS) also showed a similar trend, but did not reach statistical significance(HR = 1.75(0.97-3.13), P = 0.061). Loss-of-function studies further demonstrated that C17orf91 repression impaired migration, invasion and viability of ovarian cancer cells, and downregulated the pro-metastatic gene, MYC, at both mRNA and protein level.\nCONCLUSION: Collectively, our findings revealed that C17orf91 was a potential prognostic marker and functioned as an oncogene in ovarian cancer. It remains to be seen whether modulation of C17orf91 expression will cause phenotypic changes in vivo.", "claims": [{"id": "claim-method", "statement": "Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27535740", "locator": "sections[14] \"The prognostic value of C17orf91 expression in ovarian cancer\" paragraph 2", "quote": "Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data and material supporting the conclusions of this article are included within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27535740", "locator": "sections[20] \"ack\" paragraph 1", "quote": "The data and material supporting the conclusions of this article are included within the article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using Log Rank (Mantel-Cox) analysis of the GEO microarray dataset GSE17260, the study found that increased C17orf91 expression was associated with shorter progression-free survival (HR = 1.90, 95% CI 1.19–3.03; P = 0.008).", "kind": "quantitative", "target": {"value": 1.9, "unit": "hazard ratio", "tolerance": null, "source": "Interestingly, Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008)."}, "evidence": [{"asset": "source:pmid:27535740", "locator": "sections[14] \"The prognostic value of C17orf91 expression in ovarian cancer\" paragraph 2", "quote": "Next, we assessed the prognostic value of C17orf91 expression by taking advantage of the microarray dataset (GSE17260) in Gene Expression Omnibus."}, {"asset": "source:pmid:27535740", "locator": "sections[14] \"The prognostic value of C17orf91 expression in ovarian cancer\" paragraph 2", "quote": "Interestingly, Log Rank (Mantel-Cox) analysis revealed that increased expression of C17orf91 was associated with shorter progression free survival(PFS) (Fig. 2a, HR = 1.90(1.19-3.03), P = 0.008)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using Log Rank (Mantel-Cox) analysis of the GEO microarray dataset GSE17260, the study found that increased C17orf91 expression was associated with shorter progression-free survival (HR = 1.90, 95% CI 1.19–3.03; P = 0.008).", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:27535740"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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