Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 314

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Recent advances in understanding the cell death pathways activated by anticancer therapy

Kim, Ryungsa·2005·Cancer

Abstract

Over the past two decades, the role of apoptosis in the cytotoxicity of anticancer drugs has become clear. Apoptosis may occur via a death receptor‐dependent (extrinsic) or independent (intrinsic or mitochondrial) pathway. Mitochondria play a central role in cell death in response to DNA damage, and mediate the interaction(s) of various cytoplasmic organelles, including the endoplasmic reticulum, Golgi apparatus, and lysosomes. The mitochondrial pathway of cell death is mediated by Bcl‐2 family proteins, a group of antiapoptotic and proapoptotic proteins that regulate the passage of small molecules, such as cytochrome c, Smac/Diablo, and apoptosis‐inducing factor, which activates caspase cascades, through the mitochondrial transition pore. In addition, apoptosis can induce autophagic cell death via crosstalk between the two pathways upon treatment with anticancer drugs. The current review focused on recent advances surrounding the mechanism(s) of cell death induced by anticancer agents and discussed potential molecular targets for enhancing the chemotherapeutic effect(s) of anticancer agents. Cancer 2005. © 2005 American Cancer Society.

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 · 10.1002/cncr.20947

Cites

68 of 68 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 68 references

Cited by

See all 314

Metadata

Authors
Kim, R.
Venue
Cancer
Publisher
Wiley
Published
2005-03
Volume
103
Issue
8
Pages
1551-1560
ISSN
  • 0008-543X (ISSN-L)
  • 1097-0142
OpenAlex
W1992844265
Cited by
314
References
68
FWCI
10.60
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: Recent advances in understanding the cell death pathways activated by anticancer therapy. https://app.cochat.ai/papers/10.1002/cncr.20947
The paper
Kim, R. (2005). Recent advances in understanding the cell death pathways activated by anticancer therapy. Cancer. https://doi.org/10.1002/cncr.20947

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.