Evidence map›Paper›PMID 31054497›Full record

ArticleNeoplasia (New York, N.Y.)2019

Loss of 1p36.33 Frequent in Low-Grade Serous Ovarian Cancer.

Els Van Nieuwenhuysen, Pieter Busschaert, Annouschka Laenen, Philippe Moerman, Sileny N Han, Patrick Neven, Diether Lambrechts, Ignace Vergote

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Low-grade serous ovarian cancer: expert consensus report on the state of the science.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Morphological and molecular heterogeneity of epithelial ovarian cancer: Therapeutic implications.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2020
    Article
  13. Article
  14. Low-grade Serous Tumors: Are We Making Progress?Current oncology reports · 2020
    Review
  15. High Frequency ofDiagnostics (Basel, Switzerland) · 2019
    Article
  16. 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

8 authors at 2 institutions in 1 country.

Els Van NieuwenhuysenDepartment of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium; Division of Gynaecological Oncology, Leuven Cancer Institute, Kuleuven, Leuven, Belgium. Electronic address: Els.vannieuwenhuysen@uzleuven.be.
Pieter BusschaertLaboratory for Translational Genetics Department of Oncology, KU, Leuven, Belgium; Center for Cancer Biology, VIB, Leuven, Belgium.
Annouschka LaenenLeuven Biostatistics and Statistical Bioinformatics Centre, KULeuven, Leuven, Belgium.
Philippe MoermanDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.
Sileny N HanDepartment of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium.
Patrick NevenDepartment of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium.
Diether LambrechtsLaboratory for Translational Genetics Department of Oncology, KU, Leuven, Belgium; Center for Cancer Biology, VIB, Leuven, Belgium.
Ignace VergoteDepartment of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium; Division of Gynaecological Oncology, Leuven Cancer Institute, Kuleuven, Leuven, Belgium.
KU Leuven · BEVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-grade serous ovarian cancer (LGSOC) is a rare subtype of epithelial ovarian carcinoma. Limited data regarding the molecular-genetic background exist beyond mutations in the RAS signaling pathway. There is a growing need to better characterize these tumors due to chemoresistance and limited therapeutic options in advanced or recurrent disease.

methodsWe performed genome-wide copy number aberration (CNA) profiles and mutation hotspot screening (KRAS, BRAF, NRAS, ERBB2, PIK3CA, TP53) in 38 LGSOC tumor samples.

resultsWe detected mutations in the RAS-signaling pathway in 36.8% of cases, including seven KRAS, four BRAF, and three NRAS mutations. We identified two mutations in PIK3CA and one mutation in MAP3K1, EGFR, and TP53. CNAs were detected in 86.5% of cases. None of the focal aberrations was correlated with specific clinical characteristics. The most frequently detected CNA was loss of 1p36.33 in 54.1% of cases, with a trend towards lower progression-free survival and overall survival in patients with 1p36.33 loss.

conclusionsActivating RAS mutations were dominant in our series, with supplementary detection of two PIK3CA mutations which may lead to therapeutic options. Furthermore, we detected 1p36.33 deletions in half of the cases, indicating a role in tumorigenesis, and these deletions may serve as a prognostic marker.

Indexed as

AdultAgedChromosomes, Human, Pair 1Class I Phosphatidylinositol 3-KinasesCystadenocarcinoma, SerousDNA Copy Number VariationsErbB ReceptorsFemaleGenome, HumanGenotypeHumansMAP Kinase Kinase Kinase 1Middle AgedMutationNeoplasm GradingNeoplasm Recurrence, LocalClass I Phosphatidylinositol 3-KinasesEGFR protein, humanErbB ReceptorsKRAS protein, humanMAP3K1 protein, humanMAP Kinase Kinase Kinase 1PIK3CA protein, humanProto-Oncogene Proteins p21(ras)ras ProteinsTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID31054497
PMCPMC6500912
OpenAlexW2943608436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.