The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
HPV‐negative carcinoma of the uterine cervix: a distinct type of cervical cancer with poor prognosis
Open accessAbstract
Objective: Using highly sensitive polymerase chain reaction (PCR) techniques, we reanalysed all cervical carcinomas (CC s) found to be human papillomavirus (HPV)‐negative by Hybrid Capture 2 (HC 2) to determine the prevalence of true HPV‐negativity. We also evaluated the characteristics of the patients with tumours with confirmed HPV‐negativity. Design: Observational study. Setting: Barcelona, Spain. Population: A cohort of 136 women with CC (32 adenocarcinomas, 104 squamous cell carcinomas) who had pre‐treatment HC 2 testing. Methods: All negative cases were reanalysed and genotyped for HPV using three PCR assays (SPF 10, GP 5+/6+ and E7‐specific assay). Main outcome measures: Percentage of confirmed HPV‐negative and HPV‐positive tumours. Clinicopathological features and disease‐free survival (DFS) and overall survival (OS) of both groups. Results: Fourteen of 136 women (10.2%) were negative for HPV by HC 2. After reanalysis by PCR‐based techniques only 8/136 (5.8%) tumours were confirmed as HPV‐negative, whereas in six cases different HPV s were identified [HPV–11, −16 (two tumours), −18, −45, and −68]. Confirmed HPV‐negativity was more frequent in adenocarcinomas than in squamous cell carcinomas (5/32, 15.6% versus 3/104, 2.9%, respectively; P = 0.017). Patients with CC s with confirmed HPV‐negativity had significantly worse DFS than women with HPV‐positive tumours [51.9 months (95% CI 12.2–91.7 months) versus 109.9 months (95% CI 98.2–121.5 months); P = 0.010]. In the multivariate analysis HPV‐negativity and International Federation of Gynecology and Obstetrics (FIGO) staging were associated with increased risk of progression and mortality. Conclusions: An HC 2‐negative result is an uncommon finding in women with CC, but in almost half of these cases HPV s are identified by more sensitive techniques. CC s with confirmed HPV‐negativity are more frequently adenocarcinomas, and seem to be associated with worse DFS.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
de Sanjose, S., Quint, W. G., Alemany, L., Geraets, D. T., Klaustermeier, J. E., Lloveras, B., Tous, S., Felix, A., Bravo, L. E., Shin, H.-R., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70230-8 · Cited by 2,728
Guan, P., Howell‐Jones, R., Li, N., Bruni, L., de Sanjosé, S., Franceschi, S., & Clifford, G. M. (2012) · International Journal of Cancer · doi:10.1002/ijc.27485 · Cited by 927
Cited by
Stolnicu, S., Barsan, I., Hoang, L., Patel, P., Terinte, C., Pesci, A., Aviel-Ronen, S., Kiyokawa, T., Alvarado-Cabrero, I., Pike, M. C., et al. (2018) · American Journal of Surgical Pathology · doi:10.1097/pas.0000000000000986 · Cited by 409
Cervical Cancer: An Overview of Pathophysiology and Management
Johnson, C. A., James, D., Marzan, A., & Armaos, M. (2019) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2019.02.003 · Cited by 382
Which high-risk HPV assays fulfil criteria for use in primary cervical cancer screening?
Arbyn, M., Snijders, P. J. F., Meijer, C. J. L. M., Berkhof, J., Cuschieri, K., Kocjan, B. J., & Poljak, M. (2015) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2015.04.015 · Cited by 275
Metadata
- Authors
- Rodríguez‐Carunchio, L., Soveral, I., Steenbergen, R., Torné, A., Martinez, S., Fusté, P., Pahisa, J., Marimon, L., Ordi, J., & del Pino, M.
- Venue
- BJOG: An International Journal of Obstetrics & Gynaecology
- Publisher
- Wiley
- Published
- 2014-09-17
- Volume
- 122
- Issue
- 1
- Pages
- 119-127
- ISSN
- 0306-5456 (ISSN-L)
- 1470-0328
- 1471-0528
- OpenAlex
- W2045691117
- Cited by
- 207
- References
- 2
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: HPV‐negative carcinoma of the uterine cervix: a distinct type of cervical cancer with poor prognosis. https://app.cochat.ai/papers/10.1111/1471-0528.13071
- The paper
- Rodríguez‐Carunchio, L., Soveral, I., Steenbergen, R., Torné, A., Martinez, S., Fusté, P., Pahisa, J., Marimon, L., Ordi, J., & del Pino, M. (2015). HPV‐negative carcinoma of the uterine cervix: a distinct type of cervical cancer with poor prognosis. BJOG: An International Journal of Obstetrics & Gynaecology. https://doi.org/10.1111/1471-0528.13071
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
