Evidence map›Paper›PMID 28497333›Full record

Observational studyJournal of neuro-oncology2017

Next-Generation Sequencing-based genomic profiling of brain metastases of primary ovarian cancer identifies high number of BRCA-mutations.

S Balendran, S Liebmann-Reindl, A S Berghoff, T Reischer, N Popitsch, C B Geier, L Kenner, P Birner, B Streubel, M Preusser

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 4 institutions in 2 countries.

S BalendranDepartment of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
S Liebmann-ReindlCore Facility Genomics, Medical University of Vienna, Vienna, Austria.
A S BerghoffDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
T ReischerDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
N PopitschChildren's Cancer Research Institute, St. Anna Kinderkrebsforschung, Vienna, Austria.
C B GeierImmunology Outpatient Clinic, Schwarzspanierstraße 15/1/9, Vienna, Austria.
L KennerDepartment of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
P BirnerDepartment of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
B StreubelDepartment of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. berthold.streubel@meduniwien.ac.at.
M PreusserDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATComprehensive Cancer Center Vienna · ATLudwig Boltzmann Institute for Cancer Research · ATSt. Anna Children's Cancer Research Institute

Funding

Austrian Science Fund FWF P 26011Austrian Science Fund FWF P 29251
6 · The paper itself

Abstract

Ovarian cancer represents the most common gynaecological malignancy and has the highest mortality of all female reproductive cancers. It has a rare predilection to develop brain metastases (BM). In this study, we evaluated the mutational profile of ovarian cancer metastases through Next-Generation Sequencing (NGS) with the aim of identifying potential clinically actionable genetic alterations with options for small molecule targeted therapy. Library preparation was conducted using Illumina TruSight Rapid Capture Kit in combination with a cancer specific enrichment kit covering 94 genes. BRCA-mutations were confirmed by using TruSeq Custom Amplicon Low Input Kit in combination with a custom-designed BRCA gene panel. In our cohort all eight sequenced BM samples exhibited a multitude of variant alterations, each with unique molecular profiles. The 37 identified variants were distributed over 22 cancer-related genes (23.4%). The number of mutated genes per sample ranged from 3 to 7 with a median of 4.5. The most commonly altered genes were BRCA1/2, TP53, and ATM. In total, 7 out of 8 samples revealed either a BRCA1 or a BRCA2 pathogenic mutation. Furthermore, all eight BM samples showed mutations in at least one DNA repair gene. Our NGS study of BM of ovarian carcinoma revealed a significant number of BRCA-mutations beside TP53, ATM and CHEK2 mutations. These findings strongly suggest the implication of BRCA and DNA repair malfunction in ovarian cancer metastasizing to the brain. Based on these findings, pharmacological PARP inhibition could be one potential targeted therapeutic for brain metastatic ovarian cancer patients.

Indexed as

MutationAdultAgedAtaxia Telangiectasia Mutated ProteinsBrain NeoplasmsBRCA1 ProteinBRCA2 ProteinFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedOvarian NeoplasmsRetrospective StudiesTumor Suppressor Protein p53Ataxia Telangiectasia Mutated ProteinsATM protein, humanBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanTP53 protein, humanTumor Suppressor Protein p53ATMBrain metastasesBRCA1/2Next-Generation SequencingOvarian cancerTP53

Identifiers

PMID28497333
PMCPMC5537326
OpenAlexW2612024598

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.