Evidence map›Paper›PMID 39840098›Full record

ArticleFrontiers in pharmacology2024

Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-breast cancer compound combinations from

Chunlai Feng, Jiaxi Cheng, Mengqiu Sun, Chunxue Qiao, Qiuqi Feng, Naying Fang, Yingying Ge, Mengjie Rui

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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. Review
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

8 authors.

Chunlai FengSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Jiaxi ChengSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Mengqiu SunSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Chunxue QiaoSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Qiuqi FengSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Naying FangSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Yingying GeSchool of Pharmacy, Jiangsu University, Zhenjiang, China.
Mengjie RuiSchool of Pharmacy, Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Methods: This study aimed to identify and validate synergistic anti-breast cancer compound combinations within the PVL-TH pair using large-scale biomedical data, artificial intelligence and experimental methods. The first step was to investigate the anti-breast cancer effects of various PVL and TH extracts using Results: The results revealed that LC-MS analysis identified 27 and 21 compounds in the superior extracts (50% ethanol extracts) of PVL and TH, respectively. Based on these compounds, DeepMDS model predicted synergistic anti-breast cancer compound combinations such as F973 (caffeic acid, rosmarinic acid, p-coumaric acid, and esculetin), T271 (chlorogenic acid, cichoric acid, and caffeic acid), and T1685 (chlorogenic acid, rosmarinic acid, and scopoletin) from single PVL, single TH and PVL-TH herb pair, respectively. These combinations, at their actual concentrations in extracts, demonstrated superior anti-breast cancer activity compared to the corresponding extracts. The bioinformatics analysis revealed that these compounds could regulate tumor-related pathways synergistically, inhibiting tumor cell growth, inducing cell apoptosis, and blocking cell cycle progression. Furthermore, the concentration ratio and total content of compounds in F973 and T271 were closely associated with their anti-breast cancer effects in extracts from various geographical origins. The compound combination T1685 could represent the synergistic anti-breast cancer effects of the PVL-TH pair. Discussion: This study provides insights into exploring the representative synergistic anti-breast cancer compound combinations within the complex TCM.

Indexed as

artificial intelligencebreast cancer treatmentPrunella vulgaris L.synergistic combinationTaraxacum mongolicum Hand.-Mazz.traditional Chinese medicine

Identifiers

PMID39840098
PMCPMC11747269

What Socratic 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 Socratic graph.