Evidence map›Paper›PMID 25285606›Full record

ArticleJournal of visualized experiments : JoVE2014

Enrichment for chemoresistant ovarian cancer stem cells from human cell lines.

Jennifer M Cole, Stancy Joseph, Christopher G Sudhahar, Karen D Cowden Dahl

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. 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.

Jennifer M ColeDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Stancy JosephDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Christopher G SudhaharDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Karen D Cowden DahlDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine; kcowdend@iupui.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are defined as a subset of slow cycling and undifferentiated cells that divide asymmetrically to generate highly proliferative, invasive, and chemoresistant tumor cells. Therefore, CSCs are an attractive population of cells to target therapeutically. CSCs are predicted to contribute to a number of types of malignancies including those in the blood, brain, lung, gastrointestinal tract, prostate, and ovary. Isolating and enriching a tumor cell population for CSCs will enable researchers to study the properties, genetics, and therapeutic response of CSCs. We generated a protocol that reproducibly enriches for ovarian cancer CSCs from ovarian cancer cell lines (SKOV3 and OVCA429). Cell lines are treated with 20 µM cisplatin for 3 days. Surviving cells are isolated and cultured in a serum-free stem cell media containing cytokines and growth factors. We demonstrate an enrichment of these purified CSCs by analyzing the isolated cells for known stem cell markers Oct4, Nanog, and Prom1 (CD133) and cell surface expression of CD177 and CD133. The CSCs exhibit increased chemoresistance. This method for isolation of CSCs is a useful tool for studying the role of CSCs in chemoresistance and tumor relapse.

Indexed as

Antineoplastic AgentsBiomarkers, TumorCarcinoma, Ovarian EpithelialCell Line, TumorCisplatinCulture Media, Serum-FreeDrug Resistance, NeoplasmFemaleHumansNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsSpheroids, CellularAntineoplastic AgentsBiomarkers, TumorCisplatinCulture Media, Serum-Free

Identifiers

PMID25285606
PMCPMC4828064

What OpenQuestion holds

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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.