Dataset Information

[F10 expressions in cervical cancer tissues].

ABSTRACT: OBJECTIVE:To detect the expression of F10 at both mRNA and protein levels in cervical cancer tissues and explore its role in the occurrence and progression of cervical cancer. METHODS:F10 expressions at mRNA and protein levels were detected in 30 pairs of cervical cancer tissues and adjacent tissues using RT-PCR and immunohistochemistry. RESULTS:The mRNA and protein expressions of F10 were significantly higher in cervical cancer tissues than in the adjacent normal tissues (P<0.05). F10 expression was significantly higher in poorly differentiated cervical cancer than in well differentiated cancer tissues, and was also lower in patients with preoperative chemotherapy than in those without chemotherapy. CONCLUSION:F10 expression level is inversely correlated with the differentiation of cervical cancer and possible plays a role in the tumorigenesis and progression of cervical cancer.

SUBMITTER: Zhang MZ

PROVIDER: S-EPMC6744154 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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[F10 expressions in cervical cancer tissues].

Zhang Meng-Zhu MZ Pang Zhan-Jun ZJ

Nan fang yi ke da xue xue bao = Journal of Southern Medical University 20170601 6

<h4>Objective</h4>To detect the expression of F10 at both mRNA and protein levels in cervical cancer tissues and explore its role in the occurrence and progression of cervical cancer.<h4>Methods</h4>F10 expressions at mRNA and protein levels were detected in 30 pairs of cervical cancer tissues and adjacent tissues using RT-PCR and immunohistochemistry.<h4>Results</h4>The mRNA and protein expressions of F10 were significantly higher in cervical cancer tissues than in the adjacent normal tissues ( ...[more]

PMID: 28669954

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Project description:BACKGROUND:A better understanding of the development of metastatic disease and the identification of molecular markers for cancer spread would be useful for the design of improved treatment strategies. This study was conducted to identify gene expressions associated with metastatic phenotypes of locally advanced cervical carcinomas and investigate whether gains or losses of these genes could play a role in regulation of the transcripts. Gene expressions and copy number changes were determined in primary tumors from 29 patients with and 19 without diagnosed lymph node metastases by use of cDNA and genomic microarray techniques, respectively. RESULTS:Thirty-one genes that differed in expression between the node positive and negative tumors were identified. Expressions of eight of these genes (MRPL11, CKS2, PDK2, MRPS23, MSN, TBX3, KLF3, LSM3) correlated with progression free survival in univariate analysis and were therefore more strongly associated with metastatic phenotypes than the others. Immunohistochemistry data of CKS2 and MSN showed similar relationships to survival. The prognostic genes clustered into two groups, suggesting two major metastatic phenotypes. One group was associated with rapid proliferation, oxidative phosphorylation, invasiveness, and tumor size (MRPS23, MRPL11, CKS2, LSM3, TBX3, MSN) and another with hypoxia tolerance, anaerobic metabolism, and high lactate content (PDK2, KLF3). Multivariate analysis identified tumor volume and PDK2 expression as independent prognostic variables. Gene copy number changes of the differentially expressed genes were not frequent, but correlated with the expression level for seven genes, including MRPS23, MSN, and LSM3. CONCLUSION:Gene expressions associated with known metastatic phenotypes of cervical cancers were identified. Our findings may indicate molecular mechanisms underlying development of these phenotypes and be useful as markers of cancer spread. Gains or losses of the genes may be involved in development of the metastatic phenotypes in some cases, but other mechanisms for transcriptional regulation are probably important in the majority of tumors.

Dataset Information

[F10 expressions in cervical cancer tissues].

Publications

[F10 expressions in cervical cancer tissues].

Similar Datasets

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