Evidence map›Paper›PMID 38795259›Full record

ArticleMolecular diversity2025

Unravelling the molecular mechanistic pathway underlying the anticancer effects of kaempferol in colorectal cancer: a reverse pharmacology network approach.

P Priyamvada, Gayathri Ashok, Tushar Joshi, Suvitha Anbarasu, Anand Anbarasu, Sudha Ramaiah

Abstract read
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Article in Molecular diversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

P PriyamvadaMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India.
Gayathri AshokDepartment of Bio-Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India.
Tushar JoshiDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India.
Suvitha AnbarasuDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India.
Anand AnbarasuMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India.
Sudha RamaiahMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Tamil Nadu, Vellore, 632014, India. sudhaanand@vit.ac.in.

Funding

Indian Council of Medical Research IRIS ID: 2021-11889
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most diagnosed and highly fatal malignancy, presenting serious health concerns worldwide. The search for an effective cure for CRC is challenging and poses a serious concern. Kaempferol is a potent anti-cancerous bioactive compound often suggested for treating various cancers, including CRC. However, its underlying molecular mechanism against CRC remains unclear. The present study delves into kaempferol's molecular pathways and underlying molecular mechanisms against CRC targets. The target protein-coding genes for kaempferol were retrieved, and the CRC-associated genes were curated. Twelve common targets with a disease specificity index of > 0.6 were validated for their protein expression at different stages of CRC. Over-expressed USP1, SETD7, POLH, TDP1 and RACGAP1 were selected for further studies. The binding affinities of kaempferol to the corresponding proteins were evaluated using molecular docking and Molecular Dynamics (MD) simulations. SETD7 exhibited the highest binding affinity with the lowest binding energy (- 8.06 kcal/mol). Additionally, the MD simulation, and MM-PBSA conferred SETD7-kaempferol complex had the least root-mean-square deviation with lower interaction energy and higher conformational stability. The protein-protein interaction of SETD7 constructed revealed direct interactors, namely, DNMT1, FOXO1, FOXO3, FOXO4, H3-3B, H3-4, H3C12, H3C13, SETD7, SIRT1 and TP53, have a potential role in cancer progression through FOXO signalling. In summary, our study revealed kaempferol's multi-target and synergistic effect on multiple CRC targets and its underlying mechanisms. Finally, the study recommends in-vitro and in-vivo trials for validation of anti-cancerous drugs for CRC.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsKaempferolsHumansMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyAntineoplastic AgentskaempferolKaempferolsColorectal cancerKaempferolMolecular dockingMolecular dynamics simulationNetwork pharmacologySETD7

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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.