ArticleOncology letters2014
Detection and pathological value of papillomavirus DNA and p16
Article in Oncology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Proteomic Analysis of TCGA Data Reveals Limited Prognostic Value of p53 but Suggests BAX as a Potential Survival Marker in Cervical Carcinoma.International journal of molecular sciences · 2026Article
- Resolution of oncogene-induced senescence markers in HPV-infected cervical cancer tissue.BMC cancer · 2025Article
- Variable Expression of Oncogene-Induced Senescence/SASP Surrogates in HPV-Associated Precancerous Cervical Tissue.Current issues in molecular biology · 2024Article
- P53 Gene as a Promising Biomarker and Potential Target for the Early Diagnosis of Reproductive Cancers.Cureus · 2024Review
- Epstein-Barr virus, human papillomavirus and herpes simplex virus 2 co-presence severely dysregulates miRNA expression.African journal of laboratory medicine · 2021Article
- Review
- The Association and Significance of p53 in Gynecologic Cancers: The Potential of Targeted Therapy.International journal of molecular sciences · 2019Review
- Risk Categorization with Different Grades of Cervical Pre-Neoplastic Lesions - High Risk HPV Associations and Expression of p53 and RARβAsian Pacific journal of cancer prevention : APJCP · 2019Article
- Human papillomavirus genotype prevalence in the women of Shanghai, China and its association with the severity of cervical neoplasia.International journal of clinical and experimental pathology · 2018Article
- Correlation of P16 (Ink4a) and CK17 to HPV (16E6+18E6) in Premalignant and Malignant Lesions of Uterine Cervix: A Clinicopathologic Study.Iranian journal of pathology · 2016Article
- Correlation between squamous cell carcinoma of the lung and human papillomavirus infection and the relationship to expression of p53 and p16.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Article
- P16 and Ki-67 expression improves the diagnostic accuracy of cervical lesions but not predict persistent high risk human papillomavirus infection with CIN1.International journal of clinical and experimental pathology · 2015Article
- An special epithelial staining agents: folic acid receptor-mediated diagnosis (FRD) effectively and conveniently screen patients with cervical cancer.International journal of clinical and experimental medicine · 2015Article
- ROC-Analysis Derived Immunohistochemical P53 Cut-Off Scores as an Adjunct to Routine Histopathology for Better Diagnostic Compartmentalisation of Cervical Lesions.International journal of applied & basic medical researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to investigate human papillomavirus (HPV) infection and p16
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.