Evidence map›Paper›PMID 20233889›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010

DNA copy numbers profiles in affinity-purified ovarian clear cell carcinoma.

Kuan-Ting Kuo, Tsui-Lien Mao, Xu Chen, Yuanjian Feng, Kentaro Nakayama, Yue Wang, Ruth Glas, M Joe Ma, Robert J Kurman, Ie-Ming Shih and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
12.0field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 95 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Molecular & cellular oncology · 2020
    Article
  13. Article
  14. Review
  15. Integrative Kinome Profiling Identifies mTORC1/2 Inhibition as Treatment Strategy in Ovarian Clear Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 7 institutions in 4 countries.

Kuan-Ting KuoDivision of Gynecological Pathology, Departments of Pathology, Gynecology/Obstetrics, and Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Tsui-Lien Mao
Xu Chen
Yuanjian Feng
Kentaro Nakayama
Yue Wang
Ruth Glas
M Joe Ma
Robert J Kurman
Ie-Ming Shih
Tian-Li Wang
National Taiwan University Hospital · TWJohns Hopkins University · USAdventHealth Orlando · USShimane University · JPUnion Hospital · CNUniversity of California, Los Angeles · USVirginia Tech · US

Funding

Molecular Diagnostics for Malignant EffusionR01CA103937 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHIH, IE-MING · 2004 to 2012
$2.7M
The Roles of HBXAP Gene in Ovarian CancerR01CA129080 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHIH, IE-MING · 2008 to 2012
$1.7M
Comprehensive Analysis of Microarray Gene ExpressionR33CA109872 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, YUE · 2005 to 2007
$1.4M
Pathogenesis of Ovarian Serous Borderline TumorsR01CA116184 · NCI · JOHNS HOPKINS UNIVERSITY · PI KURMAN, ROBERT J. · 2007 to 2010
$1.2M
NCI NIH HHS R01 CA103937NCI NIH HHS R01 CA116184NCI NIH HHS R01CA116184NCI NIH HHS R01 CA129080NCI NIH HHS R01CA129080NCI NIH HHS R01 R01CA103937NCI NIH HHS R33 CA109872NCI NIH HHS R33CA109872
6 · The paper itself

Abstract

purposeAdvanced ovarian clear cell carcinoma (CCC) is one of the most aggressive ovarian malignancies, in part because it tends to be resistant to platinum-based chemotherapy. At present, little is known about the molecular genetic alterations in CCCs except that there are frequent activating mutations in PIK3CA. The purpose of this study is to comprehensively define the genomic changes in CCC based on DNA copy number alterations. EXPERIMENTAL

designWe performed 250K high-density single nucleotide polymorphism array analysis in 12 affinity-purified CCCs and 10 CCC cell lines. Discrete regions of amplification and deletion were also analyzed in additional 21 affinity-purified CCCs using quantitative real-time PCR.

resultsThe level of chromosomal instability in CCC as defined by the extent of DNA copy number changes is similar to those previously reported in low-grade ovarian serous carcinoma but much less than those in high-grade serous carcinoma. The most remarkable region with DNA copy number gain is at chr20, which harbors a potential oncogene, ZNF217. This discrete amplicon is observed in 36% of CCCs but rarely detected in serous carcinomas regardless of grade. In addition, homozygous deletions are detected at the CDKN2A/2B and LZTS1 loci. Interestingly, the DNA copy number changes observed in fresh CCC tissues are rarely detected in the established CCC cell lines.

conclusionsThis study provides the first high resolution, genome-wide view of DNA copy number alterations in ovarian CCC. The findings provide a genomic landscape for future studies aimed at elucidating the pathogenesis and developing new target-based therapies for CCCs.

Indexed as

DNA Copy Number VariationsAdenocarcinoma, Clear CellCell Line, TumorChromatography, AffinityChromosomal InstabilityDNA, NeoplasmFemaleGene DosageGene Expression ProfilingGenome-Wide Association StudyHumansMicroarray AnalysisOvarian NeoplasmsPolymorphism, Single NucleotideTrans-ActivatorsDNA, NeoplasmTrans-ActivatorsZNF217 protein, human

Identifiers

PMID20233889
PMCPMC2848895
OpenAlexW2158335713

What OpenQuestion holds

Textmetadata
LicenceTDM
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.