Evidence map›Paper›PMID 41774720›Full record

ArticlePloS one2026

UHPLC-QTOF-MS/MS-based metabolomic discovery of anticancer compounds in ethanolic extracts of Ficus hispida L. f.

Saengrawee Thammawithan, Jirattiporn Thanuma, Sirinya Sitthirak, Chadapohn Panplu, Thapanee Pruksatrakul, Piya Prajumwongs, Arporn Wangwiwatsin, Poramate Klanrit, Watcharin Loilome, Nisana Namwat

Abstract read
In one paragraph

Article in PloS one, 2026. 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

10 authors.

Saengrawee ThammawithanDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Jirattiporn ThanumaDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Sirinya SitthirakSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.
Chadapohn PanpluDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Thapanee PruksatrakulNational Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Thailand.
Piya PrajumwongsCholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0003-0412-8354
Arporn WangwiwatsinDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Poramate KlanritDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Watcharin LoilomeDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Nisana NamwatDepartment of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-6743-5047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ficus hispida L. f. (F. hispida) is commonly used in traditional medicine for various health problems. No comprehensive analysis of all its components has yet been undertaken, despite researchers having explored its chemical constituents and biological activities. Using untargeted metabolomics, we aimed to assess the chemical compositions and metabolic differences among the five parts of F. hispida: bark, fruits, leaves, twigs, and stalks. To discover the compounds that might be accountable for the noted efficacy, our study assessed the correlation between the identified metabolites and anticancer activities. We applied untargeted metabolomics using UHPLC-QTOF-MS/MS to confirm a total of 82 metabolites. These compounds were classified into six phytochemical groups with predominant accumulation in each part: fatty acids and their conjugates (twigs), terpenoids (stalks), phenylpropanoids (bark and twigs), alkaloids (bark and leaves), saccharides and their conjugates (bark), and amino acids and peptides (twigs and stalks). Multivariate analysis showed markedly distinct metabolic patterns across the five tested parts, especially leaf and bark extracts. The sulforhodamine assay (SRB) for the cytotoxicity test revealed that the bark and leaf extracts had the highest potential to inhibit the viability of cholangiocarcinoma (CCA) cells, with IC50 values of 0.71 ± 0.17 µg/mL and 0.82 ± 0.22 µg/mL for KKU-213A, and 0.78 ± 0.13 µg/mL and 1.03 ± 0.21 µg/mL for KKU-055. Univariate analysis revealed that four metabolites, including catharanthine, cianidanol, procyanidin B2, and quinic acid, had significant correlation with these anticancer abilities. Subsequent cytotoxicity studies on these candidate metabolites revealed that catharanthine suppressed CCA cell viability at the IC50 of 41.0 ± 0.99 µM (KKU-213A) and 47.4 ± 4.34 µM (KKU-055) over other candidates. Our research suggests that catharanthine, which is a terpene indole alkaloid found in the bark and leaves of F. hispida, is responsible for the anticancer efficacy against CCA cells.

Indexed as

Antineoplastic Agents, PhytogenicFicusMetabolomicsPlant ExtractsCell Line, TumorChromatography, High Pressure LiquidEthanolHumansPlant BarkPlant LeavesTandem Mass SpectrometryAntineoplastic Agents, PhytogenicEthanolPlant Extracts

Identifiers

PMID41774720
PMCPMC12956077

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LicenceCC BY
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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.