Evidence map›Paper›PMID 38817537›Full record

ArticleOrganometallics2024

Anticancer Effects of the Trivalent Organoarsenical 2-Amino-4-(dihydroxyarsinoyl) Butanoate.

Venkadesh Sarkarai Nadar, Kunie Yoshinaga-Sakurai, Barry P Rosen

Abstract read
In one paragraph

Article in Organometallics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Venkadesh Sarkarai NadarDepartment of Cellular and Molecular Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida 33199, United States.ORCID https://orcid.org/0000-0002-9500-6397
Kunie Yoshinaga-SakuraiDepartment of Cellular and Molecular Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida 33199, United States.
Barry P RosenDepartment of Cellular and Molecular Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida 33199, United States.ORCID https://orcid.org/0000-0002-5230-4271

Funding

MECHANISMS OF ARSENIC TRANSPORT AND BIOTRANSFORMATIONSR35GM136211 · NIGMS · FLORIDA INTERNATIONAL UNIVERSITY · PI ROSEN, BARRY P. · 2020 to 2024
$2.3M
NIGMS NIH HHS R35 GM136211
6 · The paper itself

Abstract

According to the National Cancer Institute, breast cancer is a leading cause of death in women. The lack of progesterone and estrogen receptors in triple-negative breast cancer (TNBC) cells results in a lack of response to hormonal, monoclonal, or tyrosine kinase inhibitor therapies. Despite intensive drug discovery, there is still no approved targeted treatment for TNBC. The metalloid arsenic has been used in herbal medicines, antibiotics, and chemotherapeutic drugs for centuries. This paper demonstrates that a trivalent arsenic-containing, nonproteogenic amino acid, R-AST-OH (2-amino-4-(dihydroxyarsinoyl) butanoate), inhibits kidney-type glutaminase (KGA), the enzyme that controls glutamine metabolism and is correlated with tumor malignancy. Cell-based assays using the TNBC MDA-MB-231 and HCC1569 cell lines showed that R-AST-OH kills TNBC cells and is not cytotoxic to a control cell line. The results of in silico molecular docking predictions indicate that R-AST-OH binds to the glutamine binding site and forms a covalent bond with an active site cysteine residue. We hypothesize that R-AST-OH is a single warhead for KGA that irreversibly binds to KGA through the formation of an As-S bond. We propose that R-AST-OH is a promising lead compound for the design of new drugs for the treatment of TNBC.

Identifiers

PMID38817537
PMCPMC11134607

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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.