Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 515

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cardiac Glycosides as Novel Cancer Therapeutic Agents

Newman, R. A., Yang, P., Pawlus, A. D., Block, K. I.·2008·Molecular Interventions

Abstract

The class of steroid-like compounds designated cardiac glycosides includes well-known drugs such as digoxin, digitoxin, and ouabain. Their continued efficacy in treatment of congestive heart failure and as anti-arrhythmic agents is well appreciated. Less well known, however, is the emerging role of this category of compounds in the prevention and/or treatment of proliferative diseases such as cancer. New findings within the past five years have revealed these compounds to be involved in complex cell-signal transduction mechanisms, resulting in selective control of human tumor but not normal cellular proliferation. As such, they represent a promising form of targeted cancer chemotherapy. New clinical studies of their anticancer potential as single or adjuvant treatments may provide insight into these potentially valuable therapeutic options. This review focuses on recent findings on cellular pharmacology of cardiac glycosides as they relate to treatment of human cancer and attempts to explain why these agents have been overlooked in the past.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1124/mi.8.1.8

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 515

Metadata

Authors
Newman, R. A., Yang, P., Pawlus, A. D., & Block, K. I.
Venue
Molecular Interventions
Published
2008-02-01
Volume
8
Issue
1
Pages
36-49
ISSN
1534-0384 (ISSN-L)
OpenAlex
W2070358111
Cited by
515
References
4
FWCI
10.63
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cardiac Glycosides as Novel Cancer Therapeutic Agents. https://app.cochat.ai/papers/10.1124/mi.8.1.8
The paper
Newman, R. A., Yang, P., Pawlus, A. D., & Block, K. I. (2008). Cardiac Glycosides as Novel Cancer Therapeutic Agents. Molecular Interventions. https://doi.org/10.1124/mi.8.1.8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.