Evidence map›Paper›PMID 24680597›Full record

ArticleGynecologic oncology2014

Obesity increases tumor aggressiveness in a genetically engineered mouse model of serous ovarian cancer.

Liza Makowski, Chunxiao Zhou, Yan Zhong, Pei Fen Kuan, Cheng Fan, Brante P Sampey, Megan Difurio, Victoria L Bae-Jump

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
9.2field-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.

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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Liza MakowskiDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Chunxiao ZhouDivision of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA.
Yan ZhongDivision of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA.
Pei Fen KuanLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Cheng FanLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Brante P SampeyMetabolon, Inc., Durham, NC, USA.
Megan DifurioDepartment of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, USA.
Victoria L Bae-JumpLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; Division of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA. Electronic address: victoria_baejump@med.unc.edu.
University of North Carolina at Chapel Hill · USMetabolon (United States) · US

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Pregnancy, Obesogenic Environments, and Basal-like Breast CancerU01ES019472 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROESTER, MELISSA A. · 2010 to 2014
$2.3M
Macrophage Mitochondrial Stress in Inflammation, Insulin Resistance & ObesityR00AA017376 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAKOWSKI-HAYES, LIZA · 2010 to 2012
$728k
NCI NIH HHS P50 CA058223NIAAA NIH HHS AA017376NIAAA NIH HHS R00 AA017376NIDDK NIH HHS DK056350NIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30DK056350NIEHS NIH HHS ES019472NIEHS NIH HHS P30 ES010126NIEHS NIH HHS U01 ES019472
6 · The paper itself

Abstract

objectivesObesity is associated with increased risk and worse outcomes for ovarian cancer. Thus, we examined the effects of obesity on ovarian cancer progression in a genetically engineered mouse model of serous ovarian cancer.

methodsWe utilized a unique serous ovarian cancer mouse model that specifically deletes the tumor suppressor genes, Brca1 and p53, and inactivates the retinoblastoma (Rb) proteins in adult ovarian surface epithelial cells, via injection of an adenoviral vector expressing Cre (AdCre) into the ovarian bursa cavity of adult female mice (KpB mouse model). KpB mice were subjected to a 60% calories-derived from fat in a high fat diet (HFD) versus 10% calories from fat in a low fat diet (LFD) to mimic diet-induced obesity. Tumors were isolated at 6 months after AdCre injection and evaluated histologically. Untargeted metabolomic and gene expression profiling was performed to assess differences in the ovarian tumors from obese versus non-obese KpB mice.

resultsAt sacrifice, mice on the HFD (obese) were twice the weight of mice on the LFD (non-obese) (51g versus 31g, p=0.0003). Ovarian tumors were significantly larger in the obese versus non-obese mice (3.7cm(2) versus 1.2cm(2), p=0.0065). Gene expression and metabolomic profiling indicated statistically significant differences between the ovarian tumors from the obese versus non-obese mice, including metabolically relevant pathways.

Indexed as

Gene Expression Regulation, NeoplasticMetabolomeAnimalsCarcinomaDiet, Fat-RestrictedDiet, High-FatDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingMiceMice, KnockoutObesityOvarian NeoplasmsBiomarkersGenomicsMetabolomicsMouse modelObesityOvarian cancer

Identifiers

PMID24680597
PMCPMC4090773
OpenAlexW1987713254

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.