Evidence map›Paper›PMID 26141064›Full record

ArticleJournal of ovarian research2015

A method to investigate the anti-metabolic activity of anti-cancer agents on ovarian cancer cells cultured in a 96-well high throughput format.

Simon J Hogg, John J Evans, Peter H Sykes, Kenny Chitcholtan

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Simon J HoggPeter MacCallum Cancer Centre, St Andrews Place, East Melbourne, 3002, VIC, Australia. Simon.Hogg@patermac.org.
John J EvansDepartment of Obstetrics and Gynaecology, Centre of Neuroendocrinology and MacDiarmid Institute for Advanced Materials and Nanotechnology, University of Otago, Christchurch, 2 Riccarton Avenue, Christchurch, 8011, New Zealand. john.evans@otago.ac.nz.
Peter H SykesDepartment of Obstetrics and Gynaecology, University of Otago, Christchurch, 2 Riccarton Avenue, Christchurch, 8011, New Zealand. peter.sykes@otago.ac.nz.
Kenny ChitcholtanDepartment of Obstetrics and Gynaecology, University of Otago, Level 3, Christchurch Women's Hospital, Christchurch, 2 Riccarton Avenue, Christchurch, 8011, New Zealand. kenny.chitcholtan@otago.ac.nz.
University of Otago · NZChristchurch Hospital · NZPeter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn early step of advanced ovarian cancer begins when floating cancerous cells as single cells or small clusters grow on the peritoneal surface. This surface is rich in extracellular matrix (ECM) proteins, which have profound effects on cellular behaviour and can facilitate cancer progression. Subsequently, this ECM may alter cellular metabolism making cancer cells susceptible to chemotherapeutic agents differently. Therefore, generating a cell culture tool in vitro that includes the interaction between ECM and cancer cells will facilitate our understanding of how cancer cells behave during cancer treatment. There is some evidence to suggest that in an in vitro model that includes ECM components such as collagens will provide a better predictive tool for drug evaluation than a traditional cell monolayer (2D) culture model.

findingsAs a proof -of- concept, we made a collagen gel in a 96-well plate format and utilised this to evaluate the efficacy of clinical cytotoxic drugs, a targeted drug, and food compounds in single and combination treatments. The primary endpoints were to measure the reduction of cellular metabolism and secretion of vascular endothelial growth factor (VEGF). The invasive capacity of cancer cells was observed in collagen gels and it was cell line-dependent. The responses to drugs were prominently observed in collagen gels, but they had little effect on 2D cell monolayers. These responses were cell line- and type of drug-dependent.

conclusionsThe collagen gel in a 96 well plate format was easy to set up and could have potential to identify drug sensitivity in the clinical management of women with platinum resistant ovarian cancer.

Indexed as

Antineoplastic AgentsCell Culture TechniquesCell Line, TumorCell ProliferationExtracellular Matrix ProteinsFemaleHigh-Throughput Screening AssaysHumansOvarian NeoplasmsVascular Endothelial Growth Factor AAntineoplastic AgentsExtracellular Matrix ProteinsVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID26141064
PMCPMC4491427
OpenAlexW1757799736

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.