Evidence map›Paper›PMID 26260910›Full record

ArticleGynecologic oncology2015

Prognostic significance of differential expression of angiogenic genes in women with high-grade serous ovarian carcinoma.

Sharareh Siamakpour-Reihani, Kouros Owzar, Chen Jiang, Taylor Turner, Yiwen Deng, Sarah M Bean, Janet K Horton, Andrew Berchuck, Jeffrey R Marks, Mark W Dewhirst and 1 more

Abstract read
In one paragraph

Article in Gynecologic oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

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  19. HOxidative medicine and cellular longevity · 2021
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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 3 institutions in 1 country.

Sharareh Siamakpour-ReihaniRadiation Oncology Department, Duke University Medical Center, United States.
Kouros OwzarDuke Department of Biostatistics and Bioinformatics, Duke University Medical Center, United States; Bioinformatics Shared Resource, Duke Cancer Institute, United States.
Chen JiangBioinformatics Shared Resource, Duke Cancer Institute, United States.
Taylor TurnerDivision of Gynecology Oncology, Department of Obstetrics and Gynecology, Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, United States.
Yiwen DengDuke Department of Biostatistics and Bioinformatics, Duke University Medical Center, United States.
Sarah M BeanDepartment of Pathology, Duke University Medical Center, United States.
Janet K HortonRadiation Oncology Department, Duke University Medical Center, United States.
Andrew BerchuckDivision of Gynecology Oncology, Department of Obstetrics and Gynecology, Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, United States.
Jeffrey R MarksDepartment of Surgery, Duke University Medical Center, United States.
Mark W DewhirstRadiation Oncology Department, Duke University Medical Center, United States.
Angeles Alvarez SecordDivision of Gynecology Oncology, Department of Obstetrics and Gynecology, Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, United States. Electronic address: angeles.secord@dm.duke.edu.
Duke Medical Center · USDuke University · USDuke Cancer Institute

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Integrating Population and Basic Science in Cancer ResearchR25CA126938 · NCI · DUKE UNIVERSITY · PI SCHILDKRAUT, JOELLEN M. · 2009 to 2013
$1.7M
NCI NIH HHS 5R25CA126938NCI NIH HHS P30 CA014236NCI NIH HHS R25 CA126938
6 · The paper itself

Abstract

objectivesTo identify angiogenic biomarkers associated with tumor angiogenesis and clinical outcome in high-grade serous ovarian cancer (HGSC).

methods51 HGSC samples were analyzed using Affymetrix HG-U133A microarray. Microvessel density (MVD) counts were determined using CD31 and CD105. Associations between mRNA expression levels and overall survival were assessed using rank score statistic. Effect size was estimated as a hazard ratio (HR) under a proportional hazard model. The Storey q-value method was used to account for multiple testing within the false-discovery rate (FDR) framework. Publicly available databases including TCGA and GSE were used for external confirmation.

resultsThirty-one angiogenic-related genes were significantly associated with survival (q≤0.05). Of these 31 genes, 4 were also associated with outcome in the TCGA data: AKT1 (q=0.02; TCGA p=0.01, HR=0.8), CD44 (q=0.003; TCGA p=0.05, HR=0.9), EPHB2 (q=0.01; TCGA p=0.05, HR=1.2), and ERBB2 (q=0.02; TCGA p=0.05, HR=1.2). While 5 were associated with outcome in the GSE database: FLT1 (q=0.03; GSE26712 p=0.01, HR=3.1); PF4 (q=0.02; GSE26712 p=0.01, HR=3.0); NRP1 (q=0.02; GSE26712 p<0.04, HR>1.4); COL4A3 (q=0.04; GSE26712 p=0.03, HR=1.3); and ANGPTL3 (q=0.02; GSE14764 p=0.02, HR=1.5). High AKT1 and CD44 were associated with longer survival. In contrast, high expression of EPHB2, ERBB2, FLT1; PF4, NRP1, COL4A3, and ANGPTL3 were associated with shorter survival. CD105-MVD and CD31-MVD were not significantly associated with angiogenic gene expression.

conclusionsThirty-one angiogenic-related genes were associated with survival in advanced HGSC and nine of these genes were confirmed in independent publicly available databases.

Indexed as

AdultAgedAntigens, CDBiomarkers, TumorCystadenocarcinoma, SerousEndoglinFemaleGene ExpressionHumansImmunohistochemistryMiddle AgedNeoplasm GradingNeovascularization, PathologicOligonucleotide Array Sequence AnalysisOvarian NeoplasmsPlatelet Endothelial Cell Adhesion Molecule-1Antigens, CDBiomarkers, TumorEndoglinENG protein, humanPlatelet Endothelial Cell Adhesion Molecule-1Receptors, Cell SurfaceAngiogenesisBiomarkersGene expressionHigh-grade serous ovarian carcinomaOverall survival

Identifiers

PMID26260910
PMCPMC4587300
OpenAlexW2113371724

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.