Evidence map›Paper›PMID 27074576›Full record

ArticleOncotarget2016

The effect of celecoxib on tumor growth in ovarian cancer cells and a genetically engineered mouse model of serous ovarian cancer.

Anuj Suri, Xiugui Sheng, Kevin M Schuler, Yan Zhong, Xiaoyun Han, Hannah M Jones, Paola A Gehrig, Chunxiao Zhou, Victoria L Bae-Jump

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  4. Leveraging chromatin packing domains to target chemoevasion in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 6 institutions in 2 countries.

Anuj SuriHouston Methodist Gynecologic Oncology Associates, Houston, TX, USA.
Xiugui ShengDepartment of Gynecologic Oncology, Shandong Cancer Hospital & Institute, Jinan University, Jinan, Shandong, China.
Kevin M SchulerGood Samaritan Hospital, Division of Gynecologic Oncology, Cincinnati, OH, USA.
Yan ZhongDivision of Gynecological Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Xiaoyun HanDepartment of Gynecologic Oncology, Shandong Cancer Hospital & Institute, Jinan University, Jinan, Shandong, China.
Hannah M JonesDivision of Gynecological Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Paola A GehrigDivision of Gynecological Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Chunxiao ZhouDivision of Gynecological Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Victoria L Bae-JumpDivision of Gynecological Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · USGood Samaritan Hospital · USGynecologic Oncology Associates · USLinzhou Cancer Hospital · CNShandong First Medical University · CNShandong Tumor Hospital · CN

Funding

UNC Clinical Translation Science Award-K12 Scholars Program (KL2)KL2RR025746 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$9.0M
Metformin as a Novel Chemotheraeutic Strategy for the Treatment of Endometrial CaK23CA143154 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAE-JUMP, VICTORIA LIN · 2010 to 2014
$854k
NCI NIH HHS K23 CA143154NCRR NIH HHS KL2 RR025746
6 · The paper itself

Abstract

Our objective was to evaluate the effect of the COX-2 inhibitor, celecoxib, on (1) proliferation and apoptosis in human ovarian cancer cell lines and primary cultures of ovarian cancer cells, and (2) inhibition of tumor growth in a genetically engineered mouse model of serous ovarian cancer under obese and non-obese conditions. Celecoxib inhibited cell proliferation in three ovarian cancer cell lines and five primary cultures of human ovarian cancer after 72 hours of exposure. Treatment with celecoxib resulted in G1 cell cycle arrest, induction of apoptosis, inhibition of cellular adhesion and invasion and reduction of expression of hTERT mRNA and COX-2 protein in all of the ovarian cancer cell lines. In the KpB mice fed a high fat diet (obese) and treated with celecoxib, tumor weight decreased by 66% when compared with control animals. Among KpB mice fed a low fat diet (non-obese), tumor weight decreased by 46% after treatment with celecoxib. In the ovarian tumors from obese and non-obese KpB mice, treatment with celecoxib as compared to control resulted in decreased proliferation, increased apoptosis and reduced COX-2 and MMP9 protein expression, as assessed by immunohistochemistry. Celecoxib strongly decreased the serum level of VEGF and blood vessel density in the tumors from the KpB ovarian cancer mouse model under obese and non-obese conditions. This work suggests that celecoxib may be a novel chemotherapeutic agent for ovarian cancer prevention and treatment and be potentially beneficial in both obese and non-obese women.

Indexed as

ApoptosisAnimalsBRCA1 ProteinCelecoxibCell AdhesionCell CycleCell Line, TumorCell ProliferationCyclooxygenase 2Cyclooxygenase 2 InhibitorsDisease Models, AnimalFemaleHumansMatrix Metalloproteinase 9MiceMice, TransgenicBRCA1 ProteinBrca1 protein, mouseCelecoxibCyclooxygenase 2Cyclooxygenase 2 InhibitorsMatrix Metalloproteinase 9Mmp9 protein, mousePtgs2 protein, mouseTumor Suppressor Protein p53Tumor Suppressor ProteinsVascular Endothelial Growth Factor AcelecoxibCOX-2 inhibitorgenetically engineered mouse modelobesityovarian cancer

Identifiers

PMID27074576
PMCPMC5129955
OpenAlexW2331657373

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.