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pmid:29750778

Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer.

Xue-Ping Ma · Wenping Zhang · Bu-Qiang Wu · Jun Qin

Medical science monitor : international medical journal of experimental and clinical research · 2018 doi:10.12659/MSM.907266

Paper

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Experiment

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Data

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Analysis

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Execution

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title
Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer.
doi
10.12659/MSM.907266
pmid
29750778
authors array · 4 items
[0]
Xue-Ping Ma
[1]
Wenping Zhang
[2]
Bu-Qiang Wu
[3]
Jun Qin
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 prognostic relevance of CEP55 in lung cancer (LC). MATERIAL AND METHODS LC microarray profile GSE30219 was obtained from the GEO database. The 2-sample t test was performed to clarify the difference in CEP55 expression between LC and normal lung tissue. The chi-square test and logistic regression analysis were preformed to investigate the relationship between CEP55 expression and the clinical features of LC patients. Log-rank test and Cox proportional hazards regression analysis were conducted to evaluate the disease-free survival (DFS) and overall survival (OS) of LC patients. Gene set enrichment analysis was conducted to investigate the related mechanisms. RESULTS CEP55 was significantly increased in LC cells relative to normal lung tissues (P<0.0001). Univariate and multivariate correlation analyses demonstrated that CEP55 expression was associated with advanced T and N staging of LC (P<0.0001). Survival analyses indicated that CEP55 expression was an independent risk factor for DFS (HR: 1.515, 95% CI: 1.277-1.797, P<0.0001) and OS (HR: 1.436, 95% CI: 1.278-1.615). CEP55 might affect the proliferation of LC cells through Myc signaling, DNA repair, and G2M checkpoint. CONCLUSIONS Our results indicated that CEP55 was increased in LC cells and was associated with poor clinical outcomes of LC patients, and could be a prognostic biomarker for LC.
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We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group.
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sections[4] "Statistical analysis" paragraph 2
quote
We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group.
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We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.
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sections[3] "LC microarray" paragraph 2
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We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.
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"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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Univariate and multivariable analyses of the relation between CEP55 expression and clinical characteristics of patients with lung cancer.
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CEP55 was associated with worse demographic and tumor characteristics of LC
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Univariate and multivariable analyses of the relation between CEP55 expression and clinical characteristics of patients with lung cancer.
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Multivariable Cox regression analysis on disease free survival (DFS) and overall survival (OS).
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The survival of patients in the CEP55 low-expression group was better than in the CEP55 high-expression group
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Multivariable Cox regression analysis on disease free survival (DFS) and overall survival (OS).
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T staging
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0.449 (0.278–0.725)
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0.006
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0.617 (0.438–0.869)
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N staging
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0.073
[2]
0.647 (0.402–1.041)
[3]
0.198
[4]
0.791 (0.553–1.131)
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[0]
M staging
[1]
0.215
[2]
0.523 (0.188–1.456)
[3]
0.274
[4]
0.599 (0.239–1.501)
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Histological type
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0.431
[2]
1.316 (0.665–2.607)
[3]
0.142
[4]
1.525 (0.868–2.680)
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[0]
CEP55 expression
[1]
<0.0001
[2]
1.515 (1.277–1.797)
[3]
<0.0001
[4]
1.436 (1.278–1.615)
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section[8]/table-wrap[1]#t2-medscimonit-24-3093
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Gene sets enriched in CEP55 high expression group.
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Gene sets enriched in the CEP55 high-expression group
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Gene sets enriched in CEP55 high expression group.
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ES
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[3]
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Myc targets_v1
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0.009804
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DNA repair
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0.046875
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0.205288
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G2M checkpoint
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−0.72575
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−1.56384
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0.033531
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0.196249
locator
section[9]/table-wrap[1]#t3-medscimonit-24-3093
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asset:data:geo:GSE30219 not downloaded
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method-1
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survival_analysis
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survival_km
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time_to_event_with_censoring
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score
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verbatim
quote
We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group.
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time_to_event_with_censoring
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contingency_analysis
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Categorical (contingency table) analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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complete
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nothing:replicable_now
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true
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survival_km
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
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capability:computational_analysis
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owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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tier
R1
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GSE30219
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GSE30219
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We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.
basis
The paper names GSE30219 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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source:pmid:29750778
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asset:table:pmid:29750778:2
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run_analysis
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data:geo:GSE30219
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partial
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
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null
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same_provider
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verbatim
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null
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extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
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review.machine_critique
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review.human_critique
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pmid:29750778
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pmid:29750778
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source:pmid:29750778
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PMID 29750778 full text
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in lung cancer (LC). MATERIAL AND METHODS LC microarray profile GSE30219 was obtained from the GEO d
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We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29750778", "kind": "science-record", "revision": 7, "content_hash": "sha256:31b96081d3c3bbcafc167e93fb4cf031af37364e890700f748c23f122f9dd05f", "created_at": "2026-11-01T15:40:33Z", "updated_at": "2026-11-01T21:21:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer.", "doi": "10.12659/MSM.907266", "pmid": "29750778", "authors": ["Xue-Ping Ma", "Wenping Zhang", "Bu-Qiang Wu", "Jun Qin"], "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 prognostic relevance of CEP55 in lung cancer (LC). MATERIAL AND METHODS LC microarray profile GSE30219 was obtained from the GEO database. The 2-sample t test was performed to clarify the difference in CEP55 expression between LC and normal lung tissue. The chi-square test and logistic regression analysis were preformed to investigate the relationship between CEP55 expression and the clinical features of LC patients. Log-rank test and Cox proportional hazards regression analysis were conducted to evaluate the disease-free survival (DFS) and overall survival (OS) of LC patients. Gene set enrichment analysis was conducted to investigate the related mechanisms. RESULTS CEP55 was significantly increased in LC cells relative to normal lung tissues (P<0.0001). Univariate and multivariate correlation analyses demonstrated that CEP55 expression was associated with advanced T and N staging of LC (P<0.0001). Survival analyses indicated that CEP55 expression was an independent risk factor for DFS (HR: 1.515, 95% CI: 1.277-1.797, P<0.0001) and OS (HR: 1.436, 95% CI: 1.278-1.615). CEP55 might affect the proliferation of LC cells through Myc signaling, DNA repair, and G2M checkpoint. CONCLUSIONS Our results indicated that CEP55 was increased in LC cells and was associated with poor clinical outcomes of LC patients, and could be a prognostic biomarker for LC.", "claims": [{"id": "claim-method", "statement": "We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29750778", "locator": "sections[4] \"Statistical analysis\" paragraph 2", "quote": "We used the log-rank test to evaluate the disease-free survival (DFS) and overall survival (OS) in these 2 groups, and Kaplan-Meier plots of DFS and OS were generated for LC patients in the CEP55 low-expression group and CEP55 high-expression group."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29750778", "locator": "sections[3] \"LC microarray\" paragraph 2", "quote": "We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:29750778"], "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:29750778", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.907266", "sha256": "sha256:d5804cd4c15a4dd83ca8a56845cb3b40efee948c4d8134767e97bc9fcf118178", "bytes": 16444, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.907266", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5973496", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE30219", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE30219", "version": null, "note": "We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We selected the LC microarray GSE30219 [13], obtained from Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database, to conduct our analysis.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1465989", "GSM1465990", "GSM1465991", "GSM1465992", "GSM1465993", "GSM1465994", "GSM1465995", "GSM1465996", "GSM1465997", "GSM1465998", "GSM1465999", "GSM748053", "GSM748054", "GSM748055", "GSM748056", "GSM748057", "GSM748058", "GSM748059", "GSM748060", "GSM748061", "GSM748062", "GSM748063", "GSM748064", "GSM748065", "GSM748066", "GSM748067", "GSM748068", "GSM748069", "GSM748070", "GSM748071", "GSM748072", "GSM748073", "GSM748074", "GSM748075", "GSM748076", "GSM748077", "GSM748078", "GSM748079", "GSM748080", "GSM748081", "GSM748083", "GSM748084", "GSM748085", "GSM748086", "GSM748087", "GSM748088", "GSM748089", "GSM748090", 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"note": "Gene sets enriched in CEP55 high expression group.", "structure": {"pmcid": "PMC5973496", "section_index": 9, "section_title": "Gene sets enriched in the CEP55 high-expression group", "row_count": 5, "column_count": 5}, "table": {"label": "Table 3", "caption": "Gene sets enriched in CEP55 high expression group.", "rows": [["Gene set", "ES", "NES", "NOM p-val", "FDR q-val"], ["Myc targets_v1", "−0.58652", "−1.73688", "0.019342", "0.152046"], ["Myc targets_v2", "−0.73024", "−1.68969", "0.009804", "0.1162"], ["DNA repair", "−0.4043", "−1.58924", "0.046875", "0.205288"], ["G2M checkpoint", "−0.72575", "−1.56384", "0.033531", "0.196249"]], "row_count": 5, "column_count": 5, "numeric_cells": 16, "header_rows": 1, "locator": "section[9]/table-wrap[1]#t3-medscimonit-24-3093"}}], "gaps": ["asset:data:geo:GSE30219 not downloaded", "asset:data:geo:GSE30219 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": 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