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pmid:29935018

A Novel Long Noncoding RNA (lncRNA), LL22NC03-N64E9.1, Promotes the Proliferation of Lung Cancer Cells and is a Potential Prognostic Molecular Biomarker for Lung Cancer.

Hongyu Jing · Xinglong Qu · Lingyun Liu · Huan Xia

Medical science monitor : international medical journal of experimental and clinical research · 2018 doi:10.12659/MSM.908359

Paper

complete

Experiment

complete

Data

partial

Analysis

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title
A Novel Long Noncoding RNA (lncRNA), LL22NC03-N64E9.1, Promotes the Proliferation of Lung Cancer Cells and is a Potential Prognostic Molecular Biomarker for Lung Cancer.
doi
10.12659/MSM.908359
pmid
29935018
authors array · 4 items
[0]
Hongyu Jing
[1]
Xinglong Qu
[2]
Lingyun Liu
[3]
Huan Xia
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2018
abstract
BACKGROUND The aim of this study was to investigate the expression of a novel long noncoding RNA (lncRNA), LL22NC03-N64E9.1, and its effect on the phenotype of lung cancer cells and tissues using The Cancer Genome Atlas (TCGA) RNA sequencing data and other publicly available profiling data. MATERIAL AND METHODS The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository. Differentially expressed lncRNA, LL22NC03-N64E9.1, in 48 lung cancer tissue samples and adjacent normal lung tissues, normal lung cell lines BEAS-2B and A549, and lung cancer cell lines, H1703, and H292, were detected by quantitative reverse transcription polymerase chain reaction (PCR) (qRT-PCR). Interference efficiency was performed using small interfering RNA (siRNA). Tumor levels of lncRNA, LL22NC03-N64E9.1, and clinicopathological parameters were statistically analyzed. RESULTS Analysis of the GSE30219 test cohort showed that lncRNA, LL22NC03-N64E9.1 expression was significantly increased in lung cancer. In clinical tissue samples, the level of LL22NC03-N64E9.1 in patients with lung cancer was significantly increased compared with adjacent normal lung tissues (P<0.001). The level of LL22NC03-N64E9.1 in patients with lung cancer was significantly correlated with tumor size and TNM stage (P<0.05), but not with age, sex and the presence of lymph node metastasis (P>0.05). In the H292 cells, following knockdown of LL22NC03-N64E9.1, cell proliferation and cloning were reduced. CONCLUSIONS Expression of lncRNA, LL22NC03-N64E9.1, promoted proliferation of lung cancer cells in vitro, was highly expressed in lung cancer tissues and was associated with increased overall survival (OS), tumor size, and tumor stage in patients with lung cancer.
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Measurement data were compared using a t-test and presented as the mean ± standard deviation (SD), categorical data were compared with the chi-squared test (χ2 test).
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Measurement data were compared using a t-test and presented as the mean ± standard deviation (SD), categorical data were compared with the chi-squared test (χ2 test).
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The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository, corrected using the robust multi-array average (RMA) function, and analyzed differentially using the linear models for microarray (LIMMA) function.
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sections[3] "Acquisition of data and patient information" paragraph 2
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The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository, corrected using the robust multi-array average (RMA) function, and analyzed differentially using the linear models for microarray (LIMMA) function.
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Using GEO dataset GSE30219 (corrected with RMA and analyzed with LIMMA) and TCGA RNA-sequencing data (analyzed with EdgeR), the study found that LL22NC03-N64E9.1 expression was significantly increased in lung cancer (P<0.001).
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"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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Relevance of LL22NC03-N64E9.1 expression to clinicopathological features in patients with lung cancer (n=48).
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Relationship between the expression of the long noncoding RNA (lncRNA), LL22NC03-N64E9.1 in lung cancer and patient clinical data
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Relevance of LL22NC03-N64E9.1 expression to clinicopathological features in patients with lung cancer (n=48).
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Measurement data were compared using a t-test and presented as the mean ± standard deviation (SD), categorical data were compared with the chi-squared test (χ2 test).
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The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository, corrected using the robust multi-array average (RMA) function, and analyzed differentially using the linear models for microarray (LIMMA) function.
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GEO GSE30219
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GEO GSE30219
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tissues, normal lung cell lines BEAS-2B and A549, and lung cancer cell lines, H1703, and H292
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(Gibco, Rockville, MD, USA). The cells were cultured in 5% CO2, in a 37°C cell culture incubator. Ce
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(Gibco, Rockville, MD, USA). The cells were cultured in 5% CO2, in a 37°C cell culture incubator.
[3]
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tasis (P>0.05). In the H292 cells, following knockdown of LL22NC03-N64E9.1, cell proliferation and
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y was performed using small interfering RNA (siRNA). Tumor levels of lncRNA, LL22NC03-N64E9.1,
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counting kit-8 (CCK-8) method Two groups of transfected H292 cells were placed in a 96-well plate an
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29935018", "kind": "science-record", "revision": 8, "content_hash": "sha256:9245b058f731308bdcc454fc496cc5288b2d729bcae92caa065ebd28f6fc4fb7", "created_at": "2026-11-01T15:40:35Z", "updated_at": "2026-11-01T21:59:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A Novel Long Noncoding RNA (lncRNA), LL22NC03-N64E9.1, Promotes the Proliferation of Lung Cancer Cells and is a Potential Prognostic Molecular Biomarker for Lung Cancer.", "doi": "10.12659/MSM.908359", "pmid": "29935018", "authors": ["Hongyu Jing", "Xinglong Qu", "Lingyun Liu", "Huan Xia"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2018, "abstract": "BACKGROUND The aim of this study was to investigate the expression of a novel long noncoding RNA (lncRNA), LL22NC03-N64E9.1, and its effect on the phenotype of lung cancer cells and tissues using The Cancer Genome Atlas (TCGA) RNA sequencing data and other publicly available profiling data. MATERIAL AND METHODS The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository. Differentially expressed lncRNA, LL22NC03-N64E9.1, in 48 lung cancer tissue samples and adjacent normal lung tissues, normal lung cell lines BEAS-2B and A549, and lung cancer cell lines, H1703, and H292, were detected by quantitative reverse transcription polymerase chain reaction (PCR) (qRT-PCR). Interference efficiency was performed using small interfering RNA (siRNA). Tumor levels of lncRNA, LL22NC03-N64E9.1, and clinicopathological parameters were statistically analyzed. RESULTS Analysis of the GSE30219 test cohort showed that lncRNA, LL22NC03-N64E9.1 expression was significantly increased in lung cancer. In clinical tissue samples, the level of LL22NC03-N64E9.1 in patients with lung cancer was significantly increased compared with adjacent normal lung tissues (P<0.001). The level of LL22NC03-N64E9.1 in patients with lung cancer was significantly correlated with tumor size and TNM stage (P<0.05), but not with age, sex and the presence of lymph node metastasis (P>0.05). In the H292 cells, following knockdown of LL22NC03-N64E9.1, cell proliferation and cloning were reduced. CONCLUSIONS Expression of lncRNA, LL22NC03-N64E9.1, promoted proliferation of lung cancer cells in vitro, was highly expressed in lung cancer tissues and was associated with increased overall survival (OS), tumor size, and tumor stage in patients with lung cancer.", "claims": [{"id": "claim-method", "statement": "Measurement data were compared using a t-test and presented as the mean ± standard deviation (SD), categorical data were compared with the chi-squared test (χ2 test).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29935018", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Measurement data were compared using a t-test and presented as the mean ± standard deviation (SD), categorical data were compared with the chi-squared test (χ2 test)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository, corrected using the robust multi-array average (RMA) function, and analyzed differentially using the linear models for microarray (LIMMA) function.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29935018", "locator": "sections[3] \"Acquisition of data and patient information\" paragraph 2", "quote": "The lung cancer dataset GSE30219 was downloaded from the Gene Expression Omnibus (GEO) repository, corrected using the robust multi-array average (RMA) function, and analyzed differentially using the linear models for microarray (LIMMA) function."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using GEO dataset GSE30219 (corrected with RMA and analyzed with LIMMA) and TCGA RNA-sequencing data (analyzed with EdgeR), the study found that LL22NC03-N64E9.1 expression was significantly increased in lung cancer (P<0.001).", "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:29935018"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE30219"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE30219"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29935018", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.908359", "sha256": 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