ArticleAsian Pacific journal of cancer prevention : APJCP2021
Predictive Value of Marker of Proliferation Ki-67 and Cell Cycle Dependent Protein kinase Inhibitor P16INK4a in Cervical Biopsy to Determine Its Biological Behaviour.
Article in Asian Pacific journal of cancer prevention : APJCP, 2021. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- Roburic Acid as a Therapeutic Candidate: Antiproliferative Activity and Secondary Cell Death Response in Colorectal Cancer Cells.International journal of molecular sciences · 2026Article
- MCPyV small T antigen enhances HPV16 oncogene expression, promotes Ca Ski cell proliferation, and reduces 5-fluorouracil-induced apoptosis in cervical cancer cells.Infectious medicine · 2025Article
- Small T Oncoprotein of Merkel Cell Polyomavirus Attenuates Cisplatin-Induced Apoptosis and Enhances E1, E6/E7, MMP-1, and Ki-67 Expression in HeLa Cervical Cancer Cells.Advanced pharmaceutical bulletin · 2025Article
- Enhancing Cervical Cancer Screening: Review of p16/Ki-67 Dual Staining as a Promising Triage Strategy.Diagnostics (Basel, Switzerland) · 2024Review
- Comparison of Ki67 index and P16 expression in different grades of cervical squamous intraepithelial lesions.Caspian journal of internal medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of the study is to analyse the Immuno-histochemical expression of Ki-67 and P16INK4a in CIN and cervical cancer cases and their utility to determine the accuracy of histological diagnosis and prediction of biological behavior of cervical lesion. METHODOLOGY: A retrospective cross-sectional study was carried in 110 numbers of cervical biopsy that included 25 CIN1, 21 CIN2, 12 CIN3, 26 SCC and 01 adenocarcinoma and 25 non neoplastic lesion. The tissue sections were stained with Ki-67 and P16INK4a.
resultsKi-67 expression was seen in 55.5% (61/110) cases of cervical lesion., out of which 3.6% (4/110; cervicitis -2/110 and metaplasia-2/110) cases were non dysplaia, 51.8% (57/110) cases were dysplasia /CIN of varying grade including invasive cancer. P16INK4a expression was noted 51.8% (57/110). There was an increasing trend of the intensity of Ki-67 and P16INK4a from focal positivity in low grade lesion to diffuse intensity in higher grade lesion and is statistically significant. There was strong association between the two variables Ki-67 and P16INK4a positive cases with their histologic grade.
conclusionThough histopathology remains the ''gold standard'' for the diagnosis of CIN, both low and high-grade, biomarkers like Ki-67 and P16INK4a have emerged as helpful adjuncts. Their combined use may assist in the histopathologic classification of preinvasive lesions and facilitate the distinction from nondysplasia.
Indexed as
Identifiers
What 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.