Evidence map›Paper›PMID 31058868›Full record

ArticleBiomolecules2019

Novel Galiellalactone Analogues Can Target STAT3 Phosphorylation and Cause Apoptosis in Triple-Negative Breast Cancer.

Hyejin Ko, Jong Hyun Lee, Hyun Su Kim, Taewoo Kim, Young Taek Han, Young-Ger Suh, Jaemoo Chun, Yeong Shik Kim, Kwang Seok Ahn

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Role of STAT3 signaling pathway in breast cancer.Cell communication and signaling : CCS · 2020
    Pooled it
  2. Review
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  6. Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery.Journal of experimental & clinical cancer research : CR · 2024
    Review
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  8. Article
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  16. Deciphering Adverse Outcome Pathway Network Linked to Bisphenol F Using Text Mining and Systems Toxicology Approaches.Toxicological sciences : an official journal of the Society of Toxicology · 2020
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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

9 authors at 4 institutions in 1 country.

Hyejin KoNatural Products Research Institute, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. hyejinko@snu.ac.kr.
Jong Hyun LeeDepartment of Science in Korean Medicine, Kyung Hee University, 24 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea. jhlee0801@khu.ac.kr.
Hyun Su KimCollege of Pharmacy, CHA University, 120 Haeryong-ro, Pochen-si, Gyenggi-do 11160, Korea. khs8812@snu.ac.kr.
Taewoo KimCollege of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. taewookim@snu.ac.kr.
Young Taek HanCollege of Pharmacy, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan 330-714, Korea. hanyt@dankook.ac.kr.
Young-Ger SuhCollege of Pharmacy, CHA University, 120 Haeryong-ro, Pochen-si, Gyenggi-do 11160, Korea. ygsuh@cha.ac.kr.
Jaemoo ChunNatural Products Research Institute, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. jaemoo.chun@gmail.com.
Yeong Shik KimNatural Products Research Institute, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. ksahn@khu.ac.kr.ORCID 0000-0002-2882-0612
Kwang Seok AhnDepartment of Science in Korean Medicine, Kyung Hee University, 24 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea. kims@snu.ac.kr.
Seoul National University · KRCHA University · KRKyung Hee University · KRDankook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant activation of signal transducer and activator of transcription 3 (STAT3) has been documented in various malignancies including triple-negative breast cancers (TNBCs). The STAT3 transcription factor can regulate the different important hallmarks of tumor cells, and thus, targeting it can be a potential strategy for treating TNBC, for which only limited therapeutic options are available. In this study, we analyzed the possible effect of (-)-galiellalactone and its novel analogues, SG-1709 and SG-1721, and determined whether these agents exerted their antineoplastic effects by suppressing the STAT3 signaling pathway in TNBC cells. The two analogues, SG-1709 and SG-1721, inhibited both constitutive as well as inducible STAT3 phosphorylation at tyrosine 705 more effectively than (-)-galiellalactone, which indicates that the analogues are more potent STAT3 blockers. Moreover, SG-1721 not only inhibited nuclear translocation and DNA binding of STAT3 but also induced apoptosis, and decreased expression of diverse oncogenic proteins. Interestingly, SG-1721 also exhibited an enhanced apoptotic effect when combined with radiotherapy. Furthermore, in vivo administration of SG-1721 significantly attenuated breast xenograft tumor growth via decreasing levels of p-STAT3. Therefore, SG-1721 may be a promising candidate for further application as a pharmacological agent that can target STAT3 protein in treating TNBC.

Indexed as

AnimalsApoptosisBiomarkers, TumorCell Cycle CheckpointsCell Line, TumorCell ProliferationCell SurvivalFemaleHumansJanus KinasesLactonesMice, NudePhosphorylationSignal TransductionSTAT3 Transcription FactorTriple Negative Breast NeoplasmsBiomarkers, TumorgaliellalactoneJanus KinasesLactonesSTAT3 Transcription FactorapoptosisgaliellalactoneradiationSTAT3triple-negative breast cancers (TNBCs)xenograft

Identifiers

PMID31058868
PMCPMC6571922
OpenAlexW2942539217

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.