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pmid:35935749

Comprehensive Expression Profiling and Molecular Basis of CDC28 Protein Kinase Regulatory Subunit 2 in Cervical Cancer.

Li Qin · Xiaoqiong Luo · Xiao Qin · Hongbao Huang · Lianling Zhang · Shengcai Chen · Xiaoqin Wu · Bingsheng Huang · Jian Pan · Jingxi Wei

International journal of genomics · 2022 doi:10.1155/2022/6084549

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35935749
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title
Comprehensive Expression Profiling and Molecular Basis of CDC28 Protein Kinase Regulatory Subunit 2 in Cervical Cancer.
doi
10.1155/2022/6084549
pmid
35935749
authors array · 10 items
[0]
Li Qin
[1]
Xiaoqiong Luo
[2]
Xiao Qin
[3]
Hongbao Huang
[4]
Lianling Zhang
[5]
Shengcai Chen
[6]
Xiaoqin Wu
[7]
Bingsheng Huang
[8]
Jian Pan
[9]
Jingxi Wei
journal
International journal of genomics
year
2022
abstract
More and more evidence suggests the oncogenic function of overexpressed CDC28 protein kinase regulatory subunit 2 (CKS2) in various human cancers. However, CKS2 has rarely been studied in cervical cancer. Herein, taking advantage of massive genetics data from multicenter RNA-seq and microarrays, we were the first group to perform tissue microarrays for CKS2 in cervical cancer. We were also the first to evaluate the clinical significance of CKS2 with large samples (980 cervical cancer cases and 422 noncancer cases). We further excavated the mechanism of the tumor-promoting activities of CKS2 in cervical cancer through analysis of genetic mutation profiles, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) significant enrichment of genes coexpressed with CKS2. According to the results, expression data from multilevels unanimously supported the overexpression of CKS2 in cervical cancer. Patients with cervical cancer in stage II from inhouse microarrays had significantly higher expression of CKS2, and CKS2 overexpression had an adverse impact on the disease-free survival status of cervical cancer patients in GSE44001. Both mutation types of mRNA high and mRNA low appeared in cervical cancer cases from the TCGA Firehose project. Gene coexpressed with CKS2 participated in pathways including the cell cycle, estrogen signaling pathway, and DNA replication. In summary, upregulated CKS2 is closely associated with the malignant clinical development of cervical cancer and might serve as a valuable therapeutic target in cervical cancer.
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The effect of CKS2 expression on the prognostic situation of cervical cancer patients from the GSE44001 and RNA-seq datasets (overall survival plus disease-free survival) was estimated with Kaplan-Meier survival curves. Such curves were created with GEPIA and GraphPad Prism and a log-rank P value. The hazard ratio (HR) was calculated.
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sections[6] "2.4. Survival Analysis of CKS2 in Cervical Cancer" paragraph 2
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The effect of CKS2 expression on the prognostic situation of cervical cancer patients from the GSE44001 and RNA-seq datasets (overall survival plus disease-free survival) was estimated with Kaplan-Meier survival curves. Such curves were created with GEPIA and GraphPad Prism and a log-rank P value. The hazard ratio (HR) was calculated.
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sections[19] "Data Availability" paragraph 2
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The datasets generated and/or analyzed during the current study are available in the TCGA (https://portal.gdc.cancer.gov/) and GEO (https://www.ncbi.nlm.nih.gov/gds) databases.
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The disease-free survival condition of cervical cancer patients (sampled from GSE44001) worsened in the group with CKS2 high expression compared to cervical cancer patients with low CKS2 expression (HR = 2.321, P = 0.013; Figure 7(c)).
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The disease-free survival condition of cervical cancer patients (sampled from GSE44001) worsened in the group with CKS2 high expression compared to cervical cancer patients with low CKS2 expression (HR = 2.321, P = 0.013; Figure 7(c)).
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sections[13] "3.3. Prognostic Value of CKS2 Expression for Cervical Cancer" paragraph 2
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The disease-free survival condition of cervical cancer patients (sampled from GSE44001) worsened in the group with CKS2 high expression compared to cervical cancer patients with low CKS2 expression (HR = 2.321, P = 0.013; Figure 7(c)).
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The disease-free survival condition of cervical cancer patients (sampled from GSE44001) worsened in the group with CKS2 high expression compared to cervical cancer patients with low CKS2 expression (HR = 2.321, P = 0.013; Figure 7(c)).
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Genetic profiling to predict recurrence of early cervical cancer
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ge of massive genetics data from multicenter RNA-seq and microarrays, we were the first group to
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8.0.1 were applied to analyze inhouse tissue microarray data. At last, statistical significance was
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The effect of CKS2 expression on the prognostic situation of cervical cancer patients from the GSE44001 and RNA-seq datasets (overall survival plus disease-free survival) was estimated with Kaplan-Meier survival curves. Such curves were created with GEPIA and GraphPad Prism and a log-rank P value. The hazard ratio (HR) was calculated.
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Complete file
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However, CKS2 has rarely been studied in cervical cancer. Herein, taking advantage of massive genetics data from multicenter RNA-seq and microarrays, we were the first group to perform tissue microarrays for CKS2 in cervical cancer. We were also the first to evaluate the clinical significance of CKS2 with large samples (980 cervical cancer cases and 422 noncancer cases). We further excavated the mechanism of the tumor-promoting activities of CKS2 in cervical cancer through analysis of genetic mutation profiles, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) significant enrichment of genes coexpressed with CKS2. According to the results, expression data from multilevels unanimously supported the overexpression of CKS2 in cervical cancer. 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The remarkable high expres", "of the inclusion of eligible microarrays and RNA-seq datasets for expression analysis. Basic info"], "order_basis": "paper_text_order:347", "id": "assay:1"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["8.0.1 were applied to analyze inhouse tissue microarray data. At last, statistical significance was", "cer cases were collected from inhouse tissue microarray, other public RNA-seq, and microarrays. The", "ic information from all included RNA-seq and microarray datasets of cervical cancer. Pooled SMD fore", "and noncancer tissues for the inhouse tissue microarray, external microarrays, and RNA-seq datasets."], "order_basis": "paper_text_order:2280", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The effect of CKS2 expression on the prognostic situation of cervical cancer patients from the GSE44001 and RNA-seq datasets (overall survival plus disease-free survival) was estimated with Kaplan-Meier survival curves. Such curves were created with GEPIA and GraphPad Prism and a log-rank P value. The hazard ratio (HR) was calculated."], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}