Evidence map›Paper›PMID 38739003›Full record

ArticlePharmaceutical biology2024

Tabersonine enhances cisplatin sensitivity by modulating Aurora kinase A and suppressing epithelial-mesenchymal transition in triple-negative breast cancer.

Xi Chen, Yuanliang Yan, Yuanhong Liu, Qiaoli Yi, Zhijie Xu

Abstract read
In one paragraph

Article in Pharmaceutical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Xi ChenDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanliang YanDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanhong LiuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiaoli YiDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhijie XuDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextTabersonine has been investigated for its role in modulating inflammation-associated pathways in various diseases. However, its regulatory effects on triple-negative breast cancer (TNBC) have not yet been fully elucidated.

objectiveThis study uncovers the anticancer properties of tabersonine in TNBC cells, elucidating its role in enhancing chemosensitivity to cisplatin (CDDP). MATERIALS AND

methodsAfter tabersonine (10 μM) and/or CDDP (10 μM) treatment for 48 h in BT549 and MDA-MB-231 cells, cell proliferation was evaluated using the cell counting kit-8 and colony formation assays. Quantitative proteomics, online prediction tools and molecular docking analyses were used to identify potential downstream targets of tabersonine. Transwell and wound-healing assays and Western blot analysis were used to assess epithelial-mesenchymal transition (EMT) phenotypes.

resultsTabersonine demonstrated inhibitory effects on TNBC cells, with IC DISCUSSION AND

conclusionsTabersonine significantly enhances the chemosensitivity of CDDP in TNBC cells, underscoring its potential as a promising therapeutic agent for TNBC treatment.

Indexed as

Aurora Kinase ACisplatinEpithelial-Mesenchymal TransitionIndole AlkaloidsTriple Negative Breast NeoplasmsAntineoplastic AgentsCell Line, TumorCell ProliferationDrug SynergismFemaleHumansMolecular Docking SimulationAntineoplastic AgentsAURKA protein, humanAurora Kinase ACisplatinIndole AlkaloidsalkaloidChemosensitivityexperimental verificationmolecular docking

Identifiers

PMID38739003
PMCPMC11095288

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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.