Evidence map›Paper›PMID 30756240›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2019

A candidate for lung cancer treatment: arsenic trioxide.

W Huang, Y C Zeng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  6. Review
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  12. Review
  13. Epigenomic reprogramming in iAs-mediated carcinogenesis.Advances in pharmacology (San Diego, Calif.) · 2023
    Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Bcl-2 hijacks the arsenic trioxide resistance in SH-SY5Y cells.Journal of cellular and molecular medicine · 2022
    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.

W HuangDepartment of Medical Oncology, Shengjing Hospital of China Medical University, 39 Huaxiang Road, Shenyang, 110022, China.
Y C ZengDepartment of Medical Oncology, Shengjing Hospital of China Medical University, 39 Huaxiang Road, Shenyang, 110022, China. wellyy2005@hotmail.com.ORCID http://orcid.org/0000-0002-0053-7540
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic trioxide (ATO), a highly effective drug in treating acute promyelocytic leukemia with low toxicity, demonstrates a significant effect on lung cancer. The anti-cancer mechanisms of ATO include inhibition of cancer stem-like cells, induction of apoptosis, anti-angiogenesis, sensitization of chemotherapy and radiotherapy, anti-cancer effects of hypoxia, and immunoregulation properties. In addition, some studies have reported that different lung cancers respond differently to ATO. It was concluded on numerous studies that the rational combination of administration and encapsulation of ATO have promising potentials in increasing drug efficacy and decreasing adverse drug effects. We reviewed the efficacy of ATO in the treatment of lung cancer in recent years to provide some views for further study.

Indexed as

Antineoplastic AgentsArsenic TrioxideHumansLung NeoplasmsPrognosisAntineoplastic AgentsArsenic TrioxideAnti-cancer mechanismArsenic trioxideDrug combinationEncapsulationLung cancer

Identifiers

PMID30756240
OpenAlexW2914052384

What OpenQuestion holds

Textmetadata
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.