Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 241

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Biomarkers in Cervical Cancer Screening

Open access
Wentzensen, Nicolas, von Knebel Doeberitz, Magnus·2007·Disease Markers

Abstract

In industrialized countries, population wide cytological screening programs using the Pap test have led to a substantial reduction of the incidence of cervical cancer. Despite this evident success, screening programs that rely on Pap‐stained cytological samples have several limitations. First, a number of equivocal or mildly abnormal test results require costly work up by either repeated retesting or direct colposcopy and biopsy, since a certain percentage of high grade lesions that require immediate treatment hide among these unclear test results. This work up of mildly abnormal or equivocal cytological tests consumes a large amount of the overall costs spent for cervical cancer screening. Improved triage of these samples might substantially reduce the costs. Cervical cancer is induced by persistent infections with oncogenic human papilloma viruses (HPV). While HPV infection is an indispensable factor, it is not sufficient to cause cancer. The majority of acute HPV infections induce low grade precursor lesions that are cleared spontaneously after several months in more than 90% of cases, and less than 10% eventually progress to high grade lesions or invasive cancer. Progression is characterized by the deregulated expression of the viral oncogenes E6 and E7 in infected basal and parabasal cells. Novel biomarkers that allow monitoring these essential molecular events in histological or cytological specimens are likely to improve the detection of lesions that have a high risk of progression in both primary screening and triage settings. In this review, we will discuss potential biomarkers for cervical cancer screening with a focus on the level of clinical evidence that supports their application as novel markers in refined cervical cancer screening programs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2007/678793

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 241

Metadata

Authors
Wentzensen, N., & von Knebel Doeberitz, M.
Venue
Disease Markers
Publisher
Wiley
Published
2007-01
Volume
23
Issue
4
Pages
315-330
ISSN
  • 0278-0240 (ISSN-L)
  • 1875-8630
OpenAlex
W2108787642
Cited by
241
References
3
FWCI
8.17
Type
journal article
Language
en
Open access
hybrid

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: Biomarkers in Cervical Cancer Screening. https://app.cochat.ai/papers/10.1155/2007/678793
The paper
Wentzensen, N., & von Knebel Doeberitz, M. (2007). Biomarkers in Cervical Cancer Screening. Disease Markers. https://doi.org/10.1155/2007/678793

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.