Evidence map›Paper›PMID 25009696›Full record

ReviewBiomolecules & therapeutics2014

Harnessing of Programmed Necrosis for Fighting against Cancers.

Young Sik Cho, Seung Yeon Park

Abstract readReview
In one paragraph

Review in Biomolecules & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Effects of Triterpene Soyasapogenol B fromInternational journal of molecular sciences · 2022
    Article
  4. Review
  5. Peptides in Colorectal Cancer: Current State of Knowledge.Plant foods for human nutrition (Dordrecht, Netherlands) · 2020
    Review
  6. An Unusual Pathway of Mitoptosis Found in Ehrlich Carcinoma Cells.Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections · 2020
    Article
  7. Review
  8. Article
  9. Review
  10. Article
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

2 authors at 1 institution in 1 country.

Young Sik ChoCollege of Pharmacy, Keimyung University, Daegu 704-701, Republic of Korea.
Seung Yeon ParkCollege of Pharmacy, Keimyung University, Daegu 704-701, Republic of Korea.
Keimyung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy has long been considered as one of useful strategies for cancer treatment. It is primarily based on the apoptosis that can selectively kill cancer cells. However, cancer cells can progressively develop an acquired resistance to apoptotic cell death, rendering refractory to chemo- and radiotherapies. Although the mechanism by which cells attained resistance to drug remains to be clarified, it might be caused by either pumping out of them or interfering with apoptotic signal cascades in response to cancer drugs. In case that cancer cells are defective in some part of apoptotic machinery by repeated exposure to anticancer drugs, alternative cell death mechanistically distinct from apoptosis could be adopted to remove cancer cells refractory to apoptosis-inducing agents. This review will mainly deal with harnessing of necrotic cell death, specifically, programmed necrosis and practical uses. Here, we begin with various defects of apoptotic death machinery in cancer cells, and then provide new perspective on programmed necrosis as an alternative anticancer approach.

Indexed as

ApoptosisAutophagyChemotherapyNecroptosisProgrammed necrosis

Identifiers

PMID25009696
PMCPMC4060077
OpenAlexW1991838376

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.