ArticleInternational journal of clinical and experimental pathology2018
Discovery of microarray-identified genes associated with the progression of cervical intraepithelial neoplasia.
Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Downregulation of miR-3074-5p slows cervical cancer progression by targeting TGFBR2 expression.Irish journal of medical science · 2026Article
- Analysis of the SH3-Domain Kinase Binding Protein 1 Predictive Model for Pancreatic Ductal Adenocarcinoma and CCCTC-Binding Factor Transcriptional Regulatory Study.World journal of oncology · 2025Article
- Cervical Conization and Systemic Inflammatory Markers: The Predictive Value of Neutrophil Percentage to Albumin Ratio (NPAR) to Identify High-Grade Cervical Intraepithelial Neoplasia (CIN).Journal of inflammation research · 2025Article
- Article
- Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.BMC cancer · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify genes potentially associated with cervical intraepithelial neoplasia (CIN) progression through bioinformatic approaches and clinicopathological verification.
methodsmRNA expression microarray data related to CIN progression were screened from the Gene Expression Omnibus (GEO) database and re-analyzed using bioinformatics approaches. Tissue microarray immunohistochemistry was conducted to assess the significant identified genes in CIN, cervical cancer, and normal tissues.
resultsBiological annotation and text mining showed that 14 differentially expressed genes were directly or indirectly related to CIN progression. The expression of 5 up-regulated differentially expressed genes, namely, CCND2, TGFBR2, PRKCB, SH3KBP1 and WNT2B, was examined by tissue microarray immunohistochemistry, with the known CIN progression genes P16 and Ki-67 as the internal reference. Expression of TGFBR2, SH3KBP1, and WNT2B were not detected in CIN and cervical carcinoma, whereas no significant difference in the expression rate of PRKCB was detected (P > 0.05). CCND2, P16, and Ki-67 expression showed a gradual increasing trend in normal, CIN, and cervical cancer.
conclusions14 differentially expressed genes were associated with CIN progression, as indicated by the microarray data analysis results. CCND2 may be a new marker for the prediction of CIN progression in addition to P16 and Ki-67.
Indexed as
Identifiers
31949653PMC6963088W3005276073What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.