Evidence map›Paper›PMID 26197069›Full record

ArticlePloS one2015

Precise Classification of Cervical Carcinomas Combined with Somatic Mutation Profiling Contributes to Predicting Disease Outcome.

Vivian M Spaans, Marjolijn D Trietsch, Alexander A W Peters, Michelle Osse, Natalja Ter Haar, Gert J Fleuren, Ekaterina S Jordanova

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Interplay Between Immune Microenvironment CD8Medicina (Kaunas, Lithuania) · 2025
    Article
  4. Article
  5. Molecular Features of HPV-Independent Cervical Cancers.Pathogens (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Review
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  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Observational
  16. Review
  17. Article
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  19. Article
  20. Long Noncoding RNA TP73-AS1 Targets MicroRNA-329-3p to Regulate Expression of the SMAD2 Gene in Human Cervical Cancer Tissue and Cell Lines.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
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

7 authors at 1 institution in 1 country.

Vivian M SpaansDepartment of Gynecology and Obstetrics, Leiden University Medical Center, Leiden, The Netherlands; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Marjolijn D TrietschDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Alexander A W PetersDepartment of Gynecology and Obstetrics, Leiden University Medical Center, Leiden, The Netherlands.
Michelle OsseDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Natalja Ter HaarDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Gert J FleurenDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Ekaterina S JordanovaDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands; Department of Gynecology and Obstetrics, Center for Gynecologic Oncology, Amsterdam, The Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSquamous cell carcinoma (SCC), adenocarcinoma (AC), and adenosquamous carcinoma (ASC) are the most common histological subtypes of cervical cancer. Differences in the somatic mutation profiles of these subtypes have been suggested. We investigated the prevalence of somatic hot-spot mutations in three well-defined cohorts of SCC, AC, and ASC and determined the additional value of mutation profiling in predicting disease outcome relative to well-established prognostic parameters. MATERIALS AND

methodsClinicopathological data were collected for 301 cervical tumors classified as SCC (n=166), AC (n=55), or ASC (n=80). Mass spectrometry was used to analyze 171 somatic hot-spot mutations in 13 relevant genes.

resultsIn 103 (34%) tumors, 123 mutations were detected (36% in SCC, 38% in AC, and 28% in ASC), mostly in PIK3CA (20%) and KRAS (7%). PIK3CA mutations occurred more frequently in SCC than AC (25% vs. 11%, P=0.025), whereas KRAS mutations occurred more frequently in AC than SCC (24% vs. 3%, P<0.001) and ASC (24% vs. 3%, P<0.001). A positive mutation status correlated with worse disease-free survival (HR 1.57, P=0.043). In multivariate analysis, tumor diameter, parametrial infiltration, and lymph node metastasis, but not the presence of a somatic mutation, were independent predictors of survival.

conclusionPotentially targetable somatic mutations occurred in 34% of cervical tumors with different distributions among histological subtypes. Precise classification of cervical carcinomas in combination with mutation profiling is valuable for predicting disease outcome and may guide the development and selection of tumor-specific treatment approaches.

Indexed as

MutationAdenocarcinomaAdultCarcinoma, Squamous CellCARD Signaling Adaptor ProteinsClass I Phosphatidylinositol 3-KinasesCytoskeletal ProteinsFemaleHumansMiddle AgedNeoplasm MetastasisPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins p21(ras)Uterine Cervical NeoplasmsCARD Signaling Adaptor ProteinsClass I Phosphatidylinositol 3-KinasesCytoskeletal ProteinsKRAS protein, humanPhosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene Proteins p21(ras)PYCARD protein, human

Identifiers

PMID26197069
PMCPMC4510875
OpenAlexW1483878487

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.