Evidence map›Paper›PMID 33736483›Full record

ArticleIntegrative cancer therapies

Inhibitory Effects of Digoxin and Digitoxin on Cell Growth in Human Ovarian Cancer Cell Line SKOV-3.

Jou-Chun Chou, Jie-Hau Li, Chih-Chieh Chen, Chien-Wei Chen, Ho Lin, Paulus S Wang

Open access · goldAbstract read
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Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 16 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

6 authors at 2 institutions in 2 countries.

Jou-Chun ChouDepartment of Life Sciences, National Chung Hsing University, Taichung.
Jie-Hau LiDepartment of Physiology, National Yang Ming Chiao Tung University, Taipei.
Chih-Chieh ChenDepartment of Physiology, National Yang Ming Chiao Tung University, Taipei.
Chien-Wei ChenCollege of Human Development and Health, National Taipei University of Nursing and Health Sciences, Taipei.
Ho LinDepartment of Life Sciences, National Chung Hsing University, Taichung.
Paulus S WangDepartment of Physiology, National Yang Ming Chiao Tung University, Taipei.ORCID 0000-0003-0241-6440
National Yang Ming Chiao Tung University · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac glycosides (CGs) possess a chemical structure similar to steroids, and are inhibitors of the sodium potassium pump. An anti-tumor effect of CGs in breast and prostate cancers has been reported, but the effect of CGs on ovarian cancer is still unclear.

aimsIn this study, the effects of CGs on proliferation, cytotoxicity and cell cycle of ovarian cancer cell line (SKOV-3) have been investigated. PROCEDURE: The cell proliferation and cytotoxicity were detected by MTT assay and LDH activity assay, respectively. CGs, at concentrations higher than IC50, decreased cell proliferation and showed increased cytotoxicity toward SKOV-3 cells. The colony-formation ability was reduced after treatment with digoxin and digitoxin for 10 days. Furthermore, we explored the effect of digoxin and digitoxin on the distribution of cell cycle by flow cytometry.

resultsResults revealed that both digoxin and digitoxin led to cell cycle arrest in G

conclusionTaken together, these data suggest that CGs decreased cell proliferation and increased cytotoxicity through cell cycle arrest at the G

Indexed as

DigitoxinOvarian NeoplasmsCell CycleCell LineCell ProliferationDigoxinFemaleHumansMaleDigitoxinDigoxincell growthdigitoxindigoxinouabainSKOV-3

Identifiers

PMID33736483
PMCPMC7983234
OpenAlexW3138148322

What OpenQuestion holds

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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.