Evidence map›Paper›PMID 26648788›Full record

ArticleCancer cell international2015

High-grade serous ovarian cancer cell lines exhibit heterogeneous responses to growth factor stimulation.

Danielle L Bourgeois, Karl A Kabarowski, Veronica L Porubsky, Pamela K Kreeger

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
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

25 citing papers in PubMed, 42 citations in OpenAlex.

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  18. The Many Microenvironments of Ovarian Cancer.Advances in experimental medicine and biology · 2020
    Review
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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

4 authors at 1 institution in 1 country.

Danielle L BourgeoisDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705 USA.
Karl A KabarowskiDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705 USA.
Veronica L PorubskyDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705 USA.
Pamela K KreegerDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705 USA.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Analysis of how quantitative cellular network variation impacts tumor progressionDP2CA195766 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI KREEGER, PAMELA K · 2014 to 2014
$2.3M
NCI NIH HHS DP2 CA195766NCI NIH HHS P30 CA014520
6 · The paper itself

Abstract

backgroundThe factors driving the onset and progression of ovarian cancer are not well understood. Recent reports have identified cell lines that are representative of the genomic pattern of high-grade serous ovarian cancer (HGSOC), in which greater than 90 % of tumors have a mutation in TP53. However, many of these representative cell lines have not been widely used so it is unclear if these cell lines capture the variability that is characteristic of the disease.

methodsWe investigated six TP53-mutant HGSOC cell lines (Caov3, Caov4, OV90, OVCA432, OVCAR3, and OVCAR4) for migration, MMP2 expression, proliferation, and VEGF secretion, behaviors that play critical roles in tumor progression. In addition to comparing baseline variation between the cell lines, we determined how these behaviors changed in response to four growth factors implicated in ovarian cancer progression: HB-EGF, NRG1β, IGF1, and HGF.

resultsBaseline levels of each behavior varied across the cell lines and this variation was comparable to that seen in tumors. All four growth factors impacted cell proliferation or VEGF secretion, and HB-EGF, NRG1β, and HGF impacted wound closure or MMP2 expression in at least two cell lines. Growth factor-induced responses demonstrated substantial heterogeneity, with cell lines sensitive to all four growth factors, a subset of the growth factors, or none of the growth factors, depending on the response of interest. Principal component analysis demonstrated that the data clustered together based on cell line rather than growth factor identity, suggesting that response is dependent on intrinsic qualities of the tumor cell rather than the growth factor.

conclusionsSignificant variation was seen among the cell lines, consistent with the heterogeneity of HGSOC.

Indexed as

Growth factorsHB-EGFHGFHGSOCIGF1MetastasisNRG1βOvarian cancerTumor heterogeneity

Identifiers

PMID26648788
PMCPMC4672525
OpenAlexW2192258905

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.