Evidence map›Paper›PMID 39350574›Full record

ArticleCancer medicine2024

Exploring the anticancer mechanism of cardiac glycosides using proteome integral solubility alteration approach.

Wenjie Qin, Yinhua Deng, Huan Ren, Yanling Liu, Ling Liu, Wenhui Liu, Yuxi Zhao, Chen Li, Zhiling Yang

Erratum issuedAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wenjie QinDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Yinhua DengDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Huan RenDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Yanling LiuDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Ling LiuDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Wenhui LiuDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.
Yuxi ZhaoShenzhen Wininnovate Bio-Tech Co., Ltd, Shenzhen, China.
Chen LiDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.
Zhiling YangDepartment of Pharmacy, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, China.ORCID https://orcid.org/0009-0007-3995-7423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCardiac glycosides (CGs), traditionally used for heart failure, have shown potential as anti-cancer agents. This study aims to explore their multifaceted mechanisms in cancer cell biology using proteome integral solubility alteration (PISA), focusing on the interaction with key proteins implicated in cellular metabolism and mitochondrial function.

methodsWe conducted lysate-based and intact-cell PISA assays on cancer cells treated with CGs (Digoxin, Digitoxin, Ouabain) to analyze protein solubility changes. This was followed by mass spectrometric analysis and bioinformatics to identify differentially soluble proteins (DSPs). Molecular docking simulations were performed to predict protein-CG interactions. Public data including gene expression changes upon CG treatment were re-analyzed for validation.

resultsThe PISA assays revealed CGs' broad-spectrum interactions, particularly affecting proteins like PKM2, ANXA2, SLC16A1, GOT2 and GLUD1. Molecular docking confirmed stable interactions between CGs and these DSPs. Re-analysis of public data supported the impact of CGs on cancer metabolism and cell signaling pathways.

conclusionOur findings suggest that CGs could be repurposed for cancer therapy by modulating cellular processes. The PISA data provide insights into the polypharmacological effects of CGs, warranting further exploration of their mechanisms and clinical potential.

Indexed as

Cardiac GlycosidesMolecular Docking SimulationProteomeSolubilityAntineoplastic AgentsCell Line, TumorComputational BiologyHumansNeoplasmsAntineoplastic AgentsCardiac GlycosidesProteomecardiac glycosidedigitoxindigoxindrug repositioningdrug repurposingoff‐targetouabainPISA

Identifiers

PMID39350574
PMCPMC11442762

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.