Proteomic identification of potential biomarkers for cervical squamous cell carcinoma and human papillomavirus infection

Song, Qing; Tulake, Wuniqiemu; Ru, Ming-fang; Li, Xiaohong; Yuemaier, Reziwanguli; Lidifu, Dilare; Rouzibilali, Aierken; Hasimu, Axiangu; Yang, Yuyu; Rouziahong, Reziya; Upur, Halmurat; Abudula, Abulizi

doi:10.1177/1010428317697547

Cited by 23 publications

(19 citation statements)

References 98 publications

(126 reference statements)

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“…Qing et al conducted a proteomic identification of potential biomarkers for cervical squamous cell carcinoma and found that MCM5 might be important in cervical cancer. 38 In this study, we observed that MCM5 was an independent prognostic biomarker in cervical squamous cell carcinoma, and the results showed that MCM5 expression decreases as stage increases. A possible reason might be that MCM5 was present throughout the cell cycle of proliferating cells but not in nonproliferating quiescent cells.…”

Section: Discussionmentioning

confidence: 69%

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods

Tian

Gao

et al. 2018

Technol Cancer Res Treat

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Cervical cancer is the leading cause of death with gynecological malignancies. We aimed to explore the molecular mechanism of carcinogenesis and biomarkers for cervical cancer by integrated bioinformatic analysis. We employed RNA-sequencing details of 254 cervical squamous cell carcinomas and 3 normal samples from The Cancer Genome Atlas. To explore the distinct pathways, messenger RNA expression was submitted to a Gene Set Enrichment Analysis. Kyoto Encyclopedia of Genes and Genomes and protein–protein interaction network analysis of differentially expressed genes were performed. Then, we conducted pathway enrichment analysis for modules acquired in protein–protein interaction analysis and obtained a list of pathways in every module. After intersecting the results from the 3 approaches, we evaluated the survival rates of both mutual pathways and genes in the pathway, and 5 survival-related genes were obtained. Finally, Cox hazards ratio analysis of these 5 genes was performed. DNA replication pathway (P < .001; 12 genes included) was suggested to have the strongest association with the prognosis of cervical squamous cancer. In total, 5 of the 12 genes, namely, minichromosome maintenance 2, minichromosome maintenance 4, minichromosome maintenance 5, proliferating cell nuclear antigen, and ribonuclease H2 subunit A were significantly correlated with survival. Minichromosome maintenance 5 was shown as an independent prognostic biomarker for patients with cervical cancer. This study identified a distinct pathway (DNA replication). Five genes which may be prognostic biomarkers and minichromosome maintenance 5 were identified as independent prognostic biomarkers for patients with cervical cancer.

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Section: Discussionmentioning

confidence: 69%

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods

Tian

Gao

et al. 2018

Technol Cancer Res Treat

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“… 19 Therefore, it is vital to dissect the molecular mechanisms underlying the initiation and progression of HCC. Recent studies showed an oncogenic function of ENO1 in various cancers, with high expression levels observed in cervical squamous cell carcinoma, 13 pancreatic cancer, 11 , 15 breast cancer, 20 non-small cell lung cancer (NSCLC), 21 nasopharyngeal carcinoma, 22 and HCC. 16 , 17 We analyzed the expression level of ENO1 on multiple HCC samples using the gene expression data available in TCGA and GEO HCC databases and HCC TMA.…”

Section: Discussionmentioning

confidence: 99%

“… 8 , 9 In addition to glucose metabolism, ENO1 is involved in autoimmune response, hypoxia endurance, and growth regulation. 10 – 12 Recent studies have correlated ENO1 with tumorigenesis and cancer progression 13 – 15 and have also shown its specific involvement in multiple signaling pathways in HCC cells. 2 , 16 , 17 However, the clinical significance and diagnostic value of ENO1 in HCC remain to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

Enolase-1 serves as a biomarker of diagnosis and prognosis in hepatocellular carcinoma patients

Zhu¹,

Li²,

Yu³

et al. 2018

CMAR

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BackgroundHepatocellular carcinoma (HCC) is an aggressive malignancy with high incidence rate and poor prognosis. Enolase-1 (ENO1), a key glycolytic enzyme, has been implicated in the tumorigenesis of various cancers. However, its diagnostic value and clinical significance in HCC are unclear.MethodsData of 374 HCC tissues and 50 nontumor tissues were retrieved from The Cancer Genome Atlas database, and the expression level of ENO1 mRNA in HCC was evaluated. In addition, a meta-analysis of 12 HCC cohorts deposited in the Gene Expression Omnibus database was conducted to determine ENO1 expression levels. The diagnostic power of ENO1 in distinguishing HCC tissues from non-HCC tissues was confirmed by receiver operating characteristic (ROC) curve analysis. A tissue microarray comprising 93 HCC specimens and 87 adjacent normal specimens was used to validate ENO1 expression, and its prognostic value in HCC was ascertained by Kaplan–Meier analysis and Cox regression models. In addition, the gene set enrichment analysis was performed to predict the molecular mechanism of ENO1 action in HCC.ResultsENO1 was overexpressed in HCC tissues and associated with worse outcomes in terms of overall survival (OS) (P<0.01) and disease-free survival (P<0.01). ENO1 expression (P<0.01) was an independent prognostic variable for the OS of HCC patients. Moreover, as per the ROC curve analysis, it had good diagnostic power as well. In addition, elevated expression of ENO1 was significantly correlated with the cell cycle and DNA replication pathway, consistent with its association with pro-proliferative genes such as MKI67, PCNA, CDK4, CDK2, and MELK.ConclusionENO1 was markedly upregulated and was an oncogene-associated protein in HCC. It is a promising prognostic and diagnostic biomarker for HCC.

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“…Liu et al ( 14 ) found that hnRNPA1 protein was overexpressed in lung cancer (LC), whereas knockdown of hnRNPA1 inhibited cell viability and colony formation of LC cells and arrested the cell cycle in the G0/G1 phase. Furthermore, another study revealed the upregulated expression and aberrant cytoplasmic localization of hnRNPA1 in cervical squamous cell cancer ( 15 ). Recently, hnRNPA1 has emerged as a plausible GC biomarker ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

High expression of hnRNPA1 promotes cell invasion by inducing EMT in gastric cancer

Chen

Wang

et al. 2018

Oncol Rep

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Advanced gastric cancer (GC) has a poor prognosis and its treatment strategies are not very efficient. Heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) has emerged as a plausible GC marker, however the role and molecular mechanism of hnRNPA1 in cell invasion and migration remains unknown. In the present study, the gene expression across normal and tumor tissue (GENT) database was used to evaluate the mRNA expression of hnRNPA1 in various types of cancer. Western blot analysis (WB) and immunohistochemistry (IHC) were performed to detect the protein expression of hnRNPA1 in GC tissues and adjacent non-tumor tissues. The expression of multiple oncogenes was detected by western blot analysis and quantitative RT-PCR in hnRNPA1 overexpressing GC cells. Soft agar colony formation, EdU incorporation, wound healing and invasion assays were applied to verify the role of hnRNPA1 in anchorage-independent cell growth, migration and invasion in GC cells. Epithelial-to-mesenchymal transition (EMT) markers were detected by immunofluorescence, western blot analysis and IHC in vitro. A nude mice model of metastasis carcinoma was established to confirm the role of hnRNPA1 during EMT in vivo. Our results revealed that hnRNPA1 was significantly upregulated in GC tissue. HnRNPA1 overexpression significantly induced cell growth, migration and invasion ability in GC cells. In addition, hnRNPA1 promoted EMT of GC cells in vitro and in vivo. These findings indicated that hnRNPA1 is highly expressed in GC and promoted invasion by inducing EMT transition in GC cells. Thus, hnRNPA1 may be a potential therapeutic target for GC.

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Proteomic identification of potential biomarkers for cervical squamous cell carcinoma and human papillomavirus infection

Cited by 23 publications

References 98 publications

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods

Enolase-1 serves as a biomarker of diagnosis and prognosis in hepatocellular carcinoma patients

High expression of hnRNPA1 promotes cell invasion by inducing EMT in gastric cancer

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