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pmid:28724602

The clinical and prognostic value of polo-like kinase 1 in lung squamous cell carcinoma patients: immunohistochemical analysis.

Hefei Li · Haibo Wang · Zhenqing Sun · Qiang Guo · Hongyun Shi · Youchao Jia

Bioscience reports · 2017 doi:10.1042/BSR20170852

Paper

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Experiment

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Data

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Analysis

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title
The clinical and prognostic value of polo-like kinase 1 in lung squamous cell carcinoma patients: immunohistochemical analysis.
doi
10.1042/BSR20170852
pmid
28724602
authors array · 6 items
[0]
Hefei Li
[1]
Haibo Wang
[2]
Zhenqing Sun
[3]
Qiang Guo
[4]
Hongyun Shi
[5]
Youchao Jia
journal
Bioscience reports
year
2017
abstract
Polo-like kinase 1 (PLK1) has been suggested to serve as oncogene in most human cancers. The aim of our study is to present more evidence about the clinical and prognostic value of PLK1 in lung squamous cell carcinoma patients. The status of PLK1 was observed in lung adenocarcinoma, lung squamous cell carcinoma and normal lung tissues through analyzing microarray data set (GEO accession number: GSE1213 and GSE 3627). PLK1 mRNA and protein expressions were detected in lung squamous cell carcinoma and normal lung tissues by using qRT-PCR and immunohistochemistry. In our results, the levels of PLK1 in lung squamous cell carcinoma tissues were higher than that in lung adenocarcinoma tissues. Compared with paired adjacent normal lung tissues, the PLK1 expression was increased in lung squamous cell carcinoma tissues. Furthermore, high-expression of PLK1 protein was correlated with differentiated degree, clinical stage, tumor size, lymph node metastasis, and distant metastasis. The univariate and multivariate analyses showed PLK1 protein high-expression was an unfavorable prognostic biomarker for lung squamous cell carcinoma patients. In conclusion, High-expression of PLK1 is associated with the aggressive progression and poor prognosis in lung squamous cell carcinoma patients.
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Univariate and multivariate Cox regression models were used to evaluate prognostic significance.
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sections[8] "Statistical analysis" paragraph 2
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Univariate and multivariate Cox regression models were used to evaluate prognostic significance.
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Microarray dataset (GEO accession number: GSE1213) from five pairs of squamous lung cancer specimens and adjacent normal lung specimens was submitted by Wachi et al. [16]. Microarray dataset (GEO accession number: GSE 3627), which was composed of 42 lung adenocarcinoma specimens and 18 lung squamous cell carcinoma specimens, was submitted by Kuner et al. [17].
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sections[3] "Analysis of microarray data" paragraph 2
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Microarray dataset (GEO accession number: GSE1213) from five pairs of squamous lung cancer specimens and adjacent normal lung specimens was submitted by Wachi et al. [16]. Microarray dataset (GEO accession number: GSE 3627), which was composed of 42 lung adenocarcinoma specimens and 18 lung squamous cell carcinoma specimens, was submitted by Kuner et al. [17].
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Expression of PLK1 protein between lung squamous cell carcinoma and normal bronchial epithelial tissues
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PLK1 is overexpressed in lung squamous cell carcinoma
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Expression of PLK1 protein between lung squamous cell carcinoma and normal bronchial epithelial tissues
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Associations between clinicopathologic factors and PLK1 in lung squamous cell carcinoma patients
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PLK1 protein expression is associated with malignant status of lung squamous cell carcinoma patients
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Associations between clinicopathologic factors and PLK1 in lung squamous cell carcinoma patients
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Univariate and multivariate analyses of overall survival in lung squamous cell carcinoma patients
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PLK1 protein overexpression is an unfavorable prognostic factor in lung squamous cell carcinoma patients
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Microarray dataset (GEO accession number: GSE1213) from five pairs of squamous lung cancer specimens and adjacent normal lung specimens was submitted by Wachi et al. [16]. Microarray dataset (GEO accession number: GSE 3627), which was composed of 42 lung adenocarcinoma specimens and 18 lung squamous cell carcinoma specimens, was submitted by Kuner et al. [17].
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1 in lung squamous cell carcinoma patients: immunohistochemical analysis.
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and normal lung tissues by using qRT-PCR and immunohistochemistry. In our results, the levels of PLK1 in lung
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ma and normal lung tissues through analyzing microarray data set (GEO accession number: GSE1213 and
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Materials and methods Analysis of microarray data Microarray dataset (GEO accession numbe
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ials and methods Analysis of microarray data Microarray dataset (GEO accession number: GSE1213) from
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pecimens was submitted by Wachi et al. [16]. Microarray dataset (GEO accession number: GSE 3627), wh
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Complete file
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The aim of our study is to present more evidence about the clinical and prognostic value of PLK1 in lung squamous cell carcinoma patients. The status of PLK1 was observed in lung adenocarcinoma, lung squamous cell carcinoma and normal lung tissues through analyzing microarray data set (GEO accession number: GSE1213 and GSE 3627). PLK1 mRNA and protein expressions were detected in lung squamous cell carcinoma and normal lung tissues by using qRT-PCR and immunohistochemistry. In our results, the levels of PLK1 in lung squamous cell carcinoma tissues were higher than that in lung adenocarcinoma tissues. Compared with paired adjacent normal lung tissues, the PLK1 expression was increased in lung squamous cell carcinoma tissues. Furthermore, high-expression of PLK1 protein was correlated with differentiated degree, clinical stage, tumor size, lymph node metastasis, and distant metastasis. 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