ArticleOncology letters2018
Human papillomavirus genotype affects metastatic rate following radiotherapy in patients with uterine cervical cancer.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Human papillomavirus (HPV) DNA detection in uterine cervix cancer after radiation indicating recurrence: a systematic review and meta-analysis.Journal of gynecologic oncology · 2020Pooled it
- Association of human papillomavirus genotype and phylogenic clade with oropharyngeal cancer outcomes.The oncologist · 2024Article
- Structured Literature Review to Identify Human Papillomavirus's Natural History Parameters for Dynamic Population Models of Vaccine Impacts.Infectious diseases and therapy · 2024Review
- Analysis of Human Papillomavirus-Associated Cervical Cancer Differentially Expressed Genes and Identification of Prognostic Factors using Integrated Bioinformatics Approaches.Advanced biomedical research · 2024Article
- Distribution of human papilloma virus genotypes and treatment outcomes in definitive radiotherapy for cervical cancer.Journal of radiation research · 2023Article
- Improving cervical cancer survival-A multifaceted strategy to sustain progress for this global problem.Cancer · 2022Review
- Secondary cancers after carbon-ion radiotherapy and photon beam radiotherapy for uterine cervical cancer: A comparative study.Cancer medicine · 2022Article
- Molecular Markers to Predict Prognosis and Treatment Response in Uterine Cervical Cancer.Cancers · 2021Review
- Observational
- HPV Status and Individual Characteristics of Human Papillomavirus Infection as Predictors for Clinical Outcome of Locally Advanced Cervical Cancer.Journal of personalized medicine · 2021Article
- P16 and HPV Genotype Significance in HPV-Associated Cervical Cancer-A Large Cohort of Two Tertiary Referral Centers.International journal of molecular sciences · 2021Article
- Is there any correlation between HPV and early radioresponse before brachytherapy in cervix uteri carcinoma?La Radiologia medica · 2020Article
- HPV-EM: an accurate HPV detection and genotyping EM algorithm.Scientific reports · 2020Article
- DNA repair gene expression is associated with differential prognosis between HPV16 and HPV18 positive cervical cancer patients following radiation therapy.Scientific reports · 2020Article
- Clinical analysis of HPV58-positive cervical cancer.Infectious agents and cancer · 2020Article
- Article
- Human papillomavirus genotype and prognosis of cervical cancer: Favorable survival of patients with HPV16-positive tumors.Papillomavirus research (Amsterdam, Netherlands) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human papillomavirus (HPV) infection is well known as a major etiological risk factor associated with carcinogenesis in uterine cervical cancer. However, few reports have investigated the association between HPV genotype and outcome in patients with uterine cervical cancer following radiotherapy (RT). The aim of the present study was to investigate the association between the HPV genotype and clinical outcome following RT in Japanese patients with uterine cervical cancer. Between November 2001 and August 2006, 157 Japanese women with uterine cervical cancer were treated with RT or concurrent chemoradiotherapy with curative intent. Pretreatment, formalin-fixed, paraffin-embedded biopsies were obtained from 83 patients. HPV genotypes were determined using the polymerase chain reaction method. Patients were categorized, according to HPV L1 protein sequence homology, into the HPV α-9 (HPV 16, 31, 33, 52, and 58), HPV α-7 (HPV 18, 39, 45, 59, and 68) or 'other' (HPV 51 and 56) groups. Associations between HPV genotype and clinical outcome following RT were evaluated. A total of 54 (65.1%) tumors were HPV α-9-positive, 13 (15.7%) were HPV α-7-positive, 2 (2.4%) were categorized under 'other' and 14 (16.9%) were HPV-negative. There were no significant differences in age, FIGO stage, regional lymph node metastases rate at diagnosis, or concurrent chemotherapy administration between the HPV α-9 and α-7 groups. The median follow-up period was 52 months (range, 2-156 months). The 5-year disease-free survival rates were 54.5 and 30.8% in the HPV α-9 and α-7 groups, respectively (P=0.034), and the 5-year distant metastasis rates were 38.0 and 69.2%, respectively (P=0.015). There were no significant differences in the 5-year local control or overall survival (OS) rates between the two groups. HPV genotype affected the 5-year distant metastatic rate, however not the 5-year local control or OS rate in patients with uterine cervical cancer following RT.
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.