Evidence map›Paper›PMID 22912389›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2012

Profiles of genomic instability in high-grade serous ovarian cancer predict treatment outcome.

Zhigang C Wang, Nicolai Juul Birkbak, Aedín C Culhane, Ronny Drapkin, Aquila Fatima, Ruiyang Tian, Matthew Schwede, Kathryn Alsop, Kathryn E Daniels, Huiying Piao and 12 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03462212 (A Randomized, Molecular Driven Phase II Trial of Carboplatin-Paclitaxel-Bevacizumab vs Carboplatin-Paclitaxel-Bevacizumab-Rucaparib vs Carboplatin-Paclitaxel-Rucaparib, Selected According to HRD Status, in Patients With Advanced), which is not on this map. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT03462212 phase1 / phase2unknown statusnot on this mapstarted 2021, after this paper: background citation

A Randomized, Molecular Driven Phase II Trial of Carboplatin-Paclitaxel-Bevacizumab vs Carboplatin-Paclitaxel-Bevacizumab-Rucaparib vs Carboplatin-Paclitaxel-Rucaparib, Selected According to HRD Status, in Patients With Advanced (Stage III B-C-IV) Ovarian, Primary Peritoneal and Fallopian Tube Cancer Preceded by a Phase I Dose Escalation Study on Rucaparib-Bevacizumab Combination

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2021 to 2025Enrolled290ConditionsAdvanced (Stage IIIB-C-IV) Ovarian, Primary Peritoneal and Fallopian Tube CancerArmsCarboplatin, Paclitaxel, Bevacizumab, Rucaparib
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Expert opinion on therapeutic targets · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Olaparib-ResistantCells · 2023
    Article
  15. Article
  16. Article
  17. Antibody therapeutics for epithelial ovarian cancer.Expert opinion on biological therapy · 2022
    Article
  18. Article
  19. Review
  20. Article

30 more citing papers are in PubMed but not listed here.

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

22 authors at 9 institutions in 4 countries.

Zhigang C WangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
Nicolai Juul Birkbak
Aedín C Culhane
Ronny Drapkin
Aquila Fatima
Ruiyang Tian
Matthew Schwede
Kathryn Alsop
Kathryn E Daniels
Huiying Piao
Joyce Liu
Dariush Etemadmoghadam
Alexander Miron
Helga B Salvesen
Gillian Mitchell
Anna DeFazio
John Quackenbush
Ross S Berkowitz
J Dirk Iglehart
David D L Bowtell
Australian Ovarian Cancer Study Group
Ursula A Matulonis
Westmead Hospital · AUThe University of Melbourne · AUDana-Farber Cancer Institute · USHaukeland University Hospital · NOWestmead Institute · AUBrigham and Women's Hospital · USPeter MacCallum Cancer Centre · AUTechnical University of Denmark · DKUniversity of Bergen · NO

Funding

Novel Serum, Plasma, and Urine Biomarkers of Ovarian CanP50CA105009 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2004 to 2010
$13.3M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Integrated approaches to deriving predictive networks from public data sourcesR01LM010129 · NLM · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN · 2009 to 2010
$1.4M
NCI NIH HHS P50 CA105009NLM NIH HHS R01 LM010129
6 · The paper itself

Abstract

purposeHigh-grade serous cancer (HGSC) is the most common cancer of the ovary and is characterized by chromosomal instability. Defects in homologous recombination repair (HRR) are associated with genomic instability in HGSC, and are exploited by therapy targeting DNA repair. Defective HRR causes uniparental deletions and loss of heterozygosity (LOH). Our purpose is to profile LOH in HGSC and correlate our findings to clinical outcome, and compare HGSC and high-grade breast cancers. EXPERIMENTAL

designWe examined LOH and copy number changes using single nucleotide polymorphism array data from three HGSC cohorts and compared results to a cohort of high-grade breast cancers. The LOH profiles in HGSC were matched to chemotherapy resistance and progression-free survival (PFS).

resultsLOH-based clustering divided HGSC into two clusters. The major group displayed extensive LOH and was further divided into two subgroups. The second group contained remarkably less LOH. BRCA1 promoter methylation was associated with the major group. LOH clusters were reproducible when validated in two independent HGSC datasets. LOH burden in the major cluster of HGSC was similar to triple-negative, and distinct from other high-grade breast cancers. Our analysis revealed an LOH cluster with lower treatment resistance and a significant correlation between LOH burden and PFS.

conclusionsSeparating HGSC by LOH-based clustering produces remarkably stable subgroups in three different cohorts. Patients in the various LOH clusters differed with respect to chemotherapy resistance, and the extent of LOH correlated with PFS. LOH burden may indicate vulnerability to treatment targeting DNA repair, such as PARP1 inhibitors.

Indexed as

Genomic InstabilityNeoplasms, Cystic, Mucinous, and SerousDisease-Free SurvivalDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticHumansLoss of HeterozygosityNeoplasm GradingOvarian NeoplasmsPolymorphism, Single NucleotidePrecision MedicinePrognosisTreatment Outcome

Identifiers

PMID22912389
PMCPMC4205235
OpenAlexW2120801412

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.