Evidence map›Paper›PMID 30018810›Full record

ArticleESMO open2018

Potential new biomarkers for squamous carcinoma of the uterine cervix.

Peter A van Dam, Christian Rolfo, Rossana Ruiz, Patrick Pauwels, Christophe Van Berckelaer, Xuan Bich Trinh, Jose Ferri Gandia, Johannes P Bogers, Steven Van Laere

Open access · goldAbstract read
In one paragraph

Article in ESMO open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Clinical Utility of Reflex Testing with Cancer Biomarkers to Improve Diagnostic Accuracy of Primary Human Papillomavirus Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. p16/Ki-67 dual-stained cytology used for triage in cervical cancer opportunistic screening.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2020
    Article
  13. Article
  14. RANK-RANKL Signaling in Cancer of the Uterine Cervix: A Review.International journal of molecular sciences · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Peter A van DamMultidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospita, Edegem, Belgium.ORCID 0000-0002-9184-7703
Christian RolfoMultidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospita, Edegem, Belgium.ORCID 0000-0002-5109-0267
Rossana RuizDepartment of Medical Oncology, Instituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Peru.
Patrick PauwelsCentre of Oncologic Research (CORE) Antwerp University, Edegem, Belgium.
Christophe Van BerckelaerCentre of Oncologic Research (CORE) Antwerp University, Edegem, Belgium.
Xuan Bich TrinhMultidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospita, Edegem, Belgium.
Jose Ferri GandiaFase 1 Unit for Experimental Oncology, Antwerp University Hospital, Edegem, Belgium.
Johannes P BogersAMBIOR Laboratory of Cell Biology and Histology, Antwerp University, Antwerp, Belgium.
Steven Van LaereCentre of Oncologic Research (CORE) Antwerp University, Edegem, Belgium.
University of Antwerp · BEAntwerp University Hospital · BEInstituto Nacional de Enfermedades Neoplásicas · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAn in silico pathway analysis was performed in an attempt to identify new biomarkers for cervical carcinoma.

methodsThree publicly available Affymetrix gene expression data sets (GSE5787, GSE7803, GSE9750) were retrieved, vouching for a total 9 cervical cancer cell lines, 39 normal cervical samples, 7 CIN3 samples and 111 cervical cancer samples. An Agilent data set (GSE7410; 5 normal cervical samples, 35 samples from invasive cervical cancer) was selected as a validation set. Predication analysis of microarrays was performed in the Affymetrix sets to identify cervical cancer biomarkers. We compared the lists of differentially expressed genes between normal and CIN3 samples on the one hand (n=1923) and between CIN3 and invasive cancer samples on the other hand (n=628).

resultsSeven probe sets were identified that were significantly overexpressed (at least 2 fold increase expression level, and false discovery rate <5%) in both CIN3 samples respective to normal samples and in cancer samples respective to CIN3 samples. From these, five probes sets could be validated in the Agilent data set (P<0.001) comparing the normal with the invasive cancer samples, corresponding to the genes DTL, HMGB3, KIF2C, NEK2 and RFC4. These genes were additionally overexpressed in cervical cancer cell lines respective to the cancer samples. The literature on these markers was reviewed.

conclusionNovel biomarkers in combination with primary human papilloma virus (HPV) testing may allow complete cervical screening by objective, non-morphological molecular methods, which may be particularly important in developing countries.

Indexed as

biomarkerscervical cancercervical cancer screeningdtlrfc4

Identifiers

PMID30018810
PMCPMC6045706
OpenAlexW2886977572

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.