Evidence map›Paper›PMID 35928802›Full record

ArticleOncology letters2022

HS-1793 inhibits cell proliferation in lung cancer by interfering with the interaction between p53 and MDM2.

Chungun Lim, Peter C W Lee, Sungbo Shim, Sung-Wuk Jang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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 4 institutions in 1 country.

Chungun LimDepartment of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
Peter C W LeeDepartment of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
Sungbo ShimDepartment of Biochemistry, College of Natural Sciences, Chungbuk National University, Cheongju, North Chungcheong 28644, Republic of Korea.
Sung-Wuk JangDepartment of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
Asan Medical Center · KRChungbuk National University · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcription factor or tumor suppressor protein p53 regulates numerous cellular functions, including cell proliferation, invasion, migration, senescence and apoptosis, in various types of cancer. HS-1793 is an analog of resveratrol, which exhibits anti-cancer effects on various types of cancer, including breast, prostate, colon and renal cancer, and multiple myeloma. However, to the best of our knowledge, the role of HS-1793 in lung cancer remains to be examined. The present study aimed to investigate the anti-cancer effect of HS-1793 on lung cancer and to determine its association with p53. The results revealed that HS-1793 reduced cell proliferation in lung cancer and increased p53 stability, thereby elevating the expression levels of the target genes p21 and mouse double minute 2 homolog (MDM2). When the levels of MDM2, a negative regulator of p53, are increased under normal conditions, MDM2 binds and degrades p53; however, HS-1793 inhibited this binding, confirming that p53 protein stability was increased. In conclusion, the findings of the present study provide new evidence that HS-1793 may inhibit lung cancer proliferation by disrupting the p53-MDM2 interaction.

Indexed as

anti-cancerHS-1793lung cancerMDM2p53

Identifiers

PMID35928802
PMCPMC9344265
OpenAlexW4283740650

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.