Evidence map›Paper›PMID 31387554›Full record

ArticleBMC cancer2019

Identification of a novel S6K1 inhibitor, rosmarinic acid methyl ester, for treating cisplatin-resistant cervical cancer.

Ki Hong Nam, Sang Ah Yi, Gibeom Nam, Jae Sung Noh, Jong Woo Park, Min Gyu Lee, Jee Hun Park, Hwamok Oh, Jieun Lee, Kang Ro Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  15. Ribosomal Protein S6: A Potential Therapeutic Target against Cancer?International journal of molecular sciences · 2021
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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

13 authors at 1 institution in 1 country.

Ki Hong NamSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Sang Ah YiSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Gibeom NamSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jae Sung NohSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jong Woo ParkSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Min Gyu LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jee Hun ParkSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Hwamok OhSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jieun LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Kang Ro LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Hyun-Ju ParkSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jaecheol LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Jeung-Whan HanSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea. jhhan551@skku.edu.
Sungkyunkwan University · KR

Funding

National Research Foundation of Korea 2012R1A5A2A28671860National Research Foundation of Korea 2017R1A2B3002186National Research Foundation of Korea 2017R1A6A3A04001986National Research Foundation of Korea 2019R1I1A1A01058903
6 · The paper itself

Abstract

backgroundThe mTOR/S6K1 signaling pathway is often activated in cervical cancer, and thus considered a molecular target for cervical cancer therapies. Inhibiting mTOR is cytotoxic to cervical cancer cells and creates a synergistic anti-tumor effect with conventional chemotherapy agents. In this study, we identified a novel S6K1 inhibitor, rosmarinic acid methyl ester (RAME) for the use of therapeutic agent against cervical cancer.

methodsCombined structure- and ligand-based virtual screening was employed to identify novel S6K1 inhibitors among the in house natural product library. In vitro kinase assay and immunoblot assay was used to examine the effects of RAME on S6K1 signaling pathway. Lipidation of LC3 and mRNA levels of ATG genes were observed to investigate RAME-mediated autophagy. PARP cleavage, mRNA levels of apoptotic genes, and cell survival was measured to examine RAME-mediated apoptosis.

resultsRAME was identified as a novel S6K1 inhibitor through the virtual screening. RAME, not rosmarinic acid, effectively reduced mTOR-mediated S6K1 activation and the kinase activity of S6K1 by blocking the interaction between S6K1 and mTOR. Treatment of cervical cancer cells with RAME promoted autophagy and apoptosis, decreasing cell survival rate. Furthermore, we observed that combination treatment with RAME and cisplatin greatly enhanced the anti-tumor effect in cisplatin-resistant cervical cancer cells, which was likely due to mTOR/S6K1 inhibition-mediated autophagy and apoptosis.

conclusionsOur findings suggest that inhibition of S6K1 by RAME can induce autophagy and apoptosis in cervical cancer cells, and provide a potential option for cervical cancer treatment, particularly when combined with cisplatin.

Indexed as

Antineoplastic AgentsApoptosisAutophagyCell Line, TumorCell SurvivalCinnamatesCisplatinDepsidesDrug Resistance, NeoplasmDrug Screening Assays, AntitumorFemaleGene Knockdown TechniquesHumansMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsCinnamatesCisplatinDepsidesProtein Kinase Inhibitorsribosomal protein S6 kinase, 70kD, polypeptide 1Ribosomal Protein S6 Kinases, 70-kDarosmarinic acid methyl esterSmall Molecule LibrariesApoptosisAutophagyCervical cancerCisplatin resistanceRosmarinic acid methyl esterS6K1

Identifiers

PMID31387554
PMCPMC6683399
OpenAlexW2966416050

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.