Evidence map›Paper›PMID 34641511›Full record

ArticleMolecules (Basel, Switzerland)2021

Autophagic Activation and Decrease of Plasma Membrane Cholesterol Contribute to Anticancer Activities in Non-Small Cell Lung Cancer.

Jui-Ling Hsu, Wohn-Jenn Leu, Nan-Shan Zhong, Jih-Hwa Guh

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. 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
0.8field-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

9 citing papers in PubMed, 9 citations in OpenAlex.

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

4 authors at 2 institutions in 2 countries.

Jui-Ling HsuSchool of Pharmacy, National Taiwan University, No. 33, Linsen S. Rd., Zhongzheng Dist., Taipei 100, Taiwan.
Wohn-Jenn LeuSchool of Pharmacy, National Taiwan University, No. 33, Linsen S. Rd., Zhongzheng Dist., Taipei 100, Taiwan.
Nan-Shan ZhongState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510370, China.
Jih-Hwa GuhSchool of Pharmacy, National Taiwan University, No. 33, Linsen S. Rd., Zhongzheng Dist., Taipei 100, Taiwan.ORCID 0000-0002-6738-6054
National Taiwan University · TWFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

Gongwin Biopharm Co., Ltd. 2018ED0013Ministry of Science and Technology, Taiwan MOST 107-2320-B-002-018-MY3
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC), an aggressive subtype of pulmonary carcinomas with high mortality, accounts for 85% of all lung cancers. Drug resistance and high recurrence rates impede the chemotherapeutic effect, making it urgent to develop new anti-NSCLC agents. Recently, we have demonstrated that

Indexed as

Antineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsAutophagyBenzenesulfonamidesCarcinoma, Non-Small-Cell LungCell Line, TumorCell MembraneCholesterolGefitinibHumansLung NeoplasmsLysosomesProto-Oncogene Proteins c-aktRibosomal Protein S6 Kinases, 70-kDaSulfonamidesToluene4-toluenesulfonamideAntineoplastic AgentsBenzenesulfonamidesCholesterolGefitinibMTOR protein, humanProto-Oncogene Proteins c-aktRibosomal Protein S6 Kinases, 70-kDaSulfonamidesTolueneTOR Serine-Threonine KinasesAkt/mTOR/p70S6K pathwayautophagynon-small cell lung cancerpara-toluenesulfonamideplasma membrane cholesterol

Identifiers

PMID34641511
PMCPMC8512437
OpenAlexW3205864781

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.