Evidence map›Paper›PMID 31906029›Full record

ArticleCancers2019

Activation of PERK Contributes to Apoptosis and G

Ming-Shun Wu, Chih-Chiang Chien, Ganbolor Jargalsaikhan, Noor Andryan Ilsan, Yen-Chou Chen

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  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

5 authors at 5 institutions in 2 countries.

Ming-Shun WuDivision of Gastroenterology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 11031, Taiwan.
Chih-Chiang ChienDepartment of Nephrology, Chi-Mei Medical Center, Tainan City 710, Taiwan.
Ganbolor JargalsaikhanInternational MS/PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Noor Andryan IlsanInternational MS/PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Yen-Chou ChenInternational MS/PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Chung Hwa University of Medical Technology · TWNational Center for Communicable Diseases · MNTaipei Medical University · TWTaipei Medical University Hospital · TWWan Fang Hospital · TW

Funding

Ministry of Science and Technology of Taiwan MOST108-2320-B-038-038Ministry of Science and Technology of Taiwan MOST108-2320-B-038 -048Taipei Medical University-Chi Mei Hospital 108CM-TMU-09 and 107CM-TMU-03
6 · The paper itself

Abstract

Microtubule-targeting agents (MTAs) are widely used in cancer chemotherapy, but the therapeutic responses significantly vary among different tumor types. Protein kinase RNA-like endoplasmic reticular (ER) kinase (PERK) is an ER stress kinase, and the role of PERK in the anticancer effects of MTAs is still undefined. In the present study, taxol (TAX) and nocodazole (NOC) significantly induced apoptosis with increased expression of phosphorylated PERK (pPERK; Tyr980) in four human colon cancer cell lines, including HCT-15, COLO205, HT-20, and LOVO cells. Induction of G

Indexed as

human colon carcinoma cellsmicrotubule disruptersnocodazoleprotein kinase RNA-like endoplasmic reticular kinasetaxol

Identifiers

PMID31906029
PMCPMC7017320
OpenAlexW2997001789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.