Relevance research between the expression of p16INK4a , Notch1, and hTERC genes: The development of HPV16-positive cervical cancer.

BACKGROUND: GLOBOCAN 2018 latest data show cervical cancer ranks fourth in morbidity and mortality among women. Many genes in cervical lesions differ in sensitivity and specificity. However, the diagnostic molecules for early cervical cancer are not very clear. This paper screens biomarkers for early molecular diagnosis of Mongolian patients with cervical cancer. METHODS: Immunohistochemical SP method was used to detect the expression of p16INK4a and Notch1 protein in paraffin sections of 226 Mongolian patients with HPV16-positive cervical lesions after pathological examination, and 100 of them were randomly selected by fluorescence in situ hybridization to detect hTERC gene. The HPV16-binding human cervical cancer SiHa cell line was used to silence the expression of HPV16 E6/E7 gene by RNA interference, and the expression of p16INK4a , Notch1, and hTERC genes and protein expression levels were detected by RT-PCR and Western blot. RESULTS: The positive expression rates of p16INK4a , Notch1, and hTERC genes in HPV16-positive cervical cancer, CIN-III, CIN-II, CIN-I, uterine leiomyoma, and chronic cervicitis were significantly different (P < .05); the positive expression rates of the three genes were also significantly different in the same type of cervical lesions (P < .05); RNA interference can effectively inhibit HPV16 E6/E7, p16INK4a and Notch1 gene expression, but has no effect on hTERC gene expression. CONCLUSION: The p16INK4a gene can be used as a biomarker for early screening of cervical cancer, and the hTERC gene can be used to confirm the clinical diagnosis of cervical cancer.

Predictive value of CDKN2A/p16INK4a expression in the malignant transformation of oral potentially malignant disorders: Systematic review and meta-analysis.

BACKGROUND: Management of oral potentially malignant disorders (OPMDs) is still challenging. Despite the diagnostic ascertainment by bioptic examination, this method is poorly informative of the prognosis and subsequent malignant transformation. Prognosis is based on histological findings by grading of dysplasia. Immunohistochemical expression of p16INK4a has been investigated in different studies, with controversial results. In this scenario, we systematically revised the current evidence about p16INK4a immunohistochemical expression and the risk of malignization of OPMDs. MATERIAL AND METHODS: After a proper set of keywords combination, 5 databases were accessed and screened to select eligible studies. The protocol was previously registered on PROSPERO (Protocol ID: CRD42022355931). Data were obtained directly from the primary studies as a measure to determine the relationship between CDKN2A/P16INK4a expression and the malignant transformation of OPMDs. Heterogeneity and publication bias were investigated by different tools, such as Cochran's Q test, Galbraith plot and Egger and Begg Mazumdar's rank tests. RESULTS: Meta-analysis revealed a twofold increased risk to malignant development (RR = 2.01, 95% CI = 1.36-2.96 - I2 = 0%). Subgroup analysis did not highlight any relevant heterogeneity. Galbraith plot showed that no individual study could be considered as an important outlier. CONCLUSION: Pooled analysis showed that p16INK4a assessment may arise adjunct tool to dysplasia grading, leading to an optimized determination of the potential progression to cancer of OPMDs. The p16INK4a overexpression analysis by immunohistochemistry techniques has a multitude of virtues that may facilitate its incorporation in the day-to-day prognostic study of OPMDs.

P16INK4a gene promoter methylation as a biomarker for the diagnosis of non-small cell lung cancer: An updated meta-analysis.

BACKGROUND: This meta-analysis was conducted to investigate the diagnostic performance of P16INK4a gene promoter methylation as a biomarker of non-small cell lung cancer (NSCLC). METHODS: Two reviewers independently searched the Web of Science, PubMed, Cochrane, Embase, China National Knowledge Infrastructure, and Chinese Biomedical Literature databases. Publications relevant to P16INK4a gene promoter methylation in serum or bronchoalveolar fluid/sputum were screened and included in this meta-analysis. Pooled diagnostic sensitivity, specificity, and symmetric receiver operating characteristic curve were calculated. RESULTS: Twenty-six publications with 1768 lung cancer cases and 1323 controls were included. The pooled sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio were 0.46 (95% confidence interval [CI] 0.43-0.48), 0.90 (95% CI 0.88-0.91), 6.33 (95% CI 3.89-10.30), 0.57 (95% CI 0.50-0.65) and 10.72 (95% CI 6.94-16.56), respectively, for P16INK4a gene promoter methylation as a biomarker for the diagnosis of NSCLC. The area under the symmetric receiver operating characteristic curve was 0.75 with a standard error of 0.004. No publication bias was detected via line regression test (t = 0.95; P = 0.35) and Begg's funnel plot. CONCLUSION: P16INK4a gene promoter methylation detection in serum or bronchoalveolar fluid/sputum may be a potential biomarker for NSCLC diagnosis; however, the sensitivity was relatively low, which is not suitable for NSCLC screening.

Involvement of Bmi-1 gene in the development of gastrointestinal stromal tumor by regulating p16Ink4A/p14ARF gene expressions: An in vivo and in vitro study.

OBJECTIVE: This study was conducted in order to explore the role that Bmi-1 plays during the development of a gastrointestinal stromal tumor (GIST) by regulation of the p16Ink4A and p14ARF expressions. METHODS: Eighty-six patients diagnosed with GIST were selected to take part in this experiment. The Bmi-1 protein expressions in GIST and adjacent normal tissues were detected using immunohistochemistry and further analyzed by using photodensitometry. To monitor and track the progression of the GIST, a 3-year follow-up was conducted for all affected patients. After cell transfection, the GIST cells were assigned into the control group (without transfection), the negative control (NC) group (transfected with Bmi-1-Scramble plasmid), and the Bmi-1 shRNA group (transfected with the pcDNA3.1-Bmi-1 shRNA plasmid). Protein and mRNA expressions collected from Bmi-1, p16lnk4A, P14ARF, cyclin D1, and CDK4 were measured using both the RT-qPCR and western blotting methods Cell senescence was assessed and obtained by using the ß-Galactosidase (ß-Gal) activity assay. The use of a Soft agar colony formation assay and CCK-8 assay were performed in order to detect the cell growth and subsequent proliferation. Cell invasion and migration were analyzed using the Transwell assay and scratch test. RESULTS: Bmi-1 in the GIST tissues was found to be significantly higher and the p16lnk4A and P14ARF expressions were lower than those in the adjacent normal tissues. Bmi-1 was negatively correlated with p16lnk4A and P14ARF expressions according to the correlation analysis. Bmi-1 expression was associated with the TNM stage, postoperative recurrence, metastasis, tumor size, and the 5-year survival rate. Area under ROC curve was calculated at 0.884, and sensitivity, specificity, and accuracy of Bmi-1 predicting the GIST were 67.44%, 97.67%, and 65.12%, respectively. Patients exhibiting a high Bmi-1 expression in the GIST tissues had lower survival rates than those with low Bmi-1 expression. In comparison with the control group, P14ARF, and p16lnk4A were up-regulated, while cyclinD 1 and CDK4 were down-regulated, cell senescence was promoted, and cell proliferation, invasion, and migration also showed some regression in the Bmi-1 shRNA group. CONCLUSIONS: These collection of data indicated that the down-regulated Bmi-1 might inhibit the proliferation, invasion, and migration of GIST cells and can be subsequently linked to the incidence and developing a prognosis of GIST.