Evidence map›Paper›PMID 40148293›Full record

ArticleCurrent pharmaceutical design2025

Exploring the Therapeutic Potential of

Md Imran Hasan, Kh Mujahidul Islam, Md Nahid Hasan, Md Mizanur Rahman, Md Habibur Rahman, Seungjoon Moon, Moon Nyeo Park, Han Na Kang, Bonglee Kim

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Article in Current pharmaceutical design, 2025. 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

9 authors.

Md Imran HasanDepartment of Life Science, Texas A& M University San Antonio, Texas, USA.
Kh Mujahidul IslamDepartment of Computer Science and Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Md Nahid HasanDepartment of Molecular Microbiology & Immunology, University of Texas at San Antonio, Texas, USA.
Md Mizanur RahmanDepartment of Computer Science and Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Md Habibur RahmanDepartment of Computer Science and Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Seungjoon MoonDepartment of Pathology, College of Korean Medicine, Kyung Hee University, Hoegidong Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Moon Nyeo ParkDepartment of Pathology, College of Korean Medicine, Kyung Hee University, Hoegidong Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Han Na KangKM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Bonglee KimDepartment of Pathology, College of Korean Medicine, Kyung Hee University, Hoegidong Dongdaemun-gu, Seoul, 02447, Republic of Korea.

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) by the Ministry of Education NRF-2020R1I1A2066868Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), by the Ministry of Health & Welfare, Republic of Korea RS-2020-KH087790National Research Foundation of Korea (NRF) by the Korean government (MSIT) 2020R1A5A2019413, RS-2024-00350362
6 · The paper itself

Abstract

introductionPancreatic cancer (PC) remains a formidable challenge in cancer, which requires innovative approaches to identify novel therapeutic strategies. Evodia rutaecarpa, a traditional herbal remedy known for its analgesic and antiemetic properties, has been reported to exhibit anticancer effects.

methodsWe employed network pharmacology to elucidate the bioactive ingredients of Evodia rutaecarpa and their potential targets in the context of early-onset pancreatic cancer. By integrating data from public databases, we identified genes associated with PC and developed a protein-protein interaction (PPI) network. Topological analysis of the PPI network facilitated the identification of core targets, which were subsequently subjected to molecular docking with corresponding bioactive ingredients of Evodia rutaecarpa. The computational approach aimed to unveil the pharmacological mechanisms of basic putative crucial proteins and associated pathways implicated in early-onset PC. Pathway and GO analysis highlighted the significant involvement of Evodia rutaecarpa in pathways such as cAMP signaling, cytokine-cytokine receptor interaction, rheumatoid arthritis, interleukin signaling, bladder cancer, IL-17, IL-24 signaling, cytokine-mediated signaling, chemokine, and calcium-mediated signaling.

resultsFurther exploration focused on a hub protein module derived from PPIs, with molecular docking emphasizing strong binding interactions between Evodia rutaecarpa and ERBB2, a protein strongly implicated in PC management compared to other identified hub proteins (STAT1, ERBB2, CXCL10, INS, RACK1, FOS, HLA-DRB1, POMC, PRKAA1). Additionally, the pharmacokinetic analysis of Evodia rutaecarpa indicated its efficacy as a therapeutic agent with minimal adverse effects. Rutaecarpine, identified as the main bioactive ingredient, emerged as a potential inhibitor of PC growth through the suppression of ERBB2.

conclusionThese outcomes provide novel insights into the prevention and treatment of PC, presenting Evodia rutaecarpa as a promising candidate for further experimental validation and clinical exploration. The identified discovery has the potential to reduce the drug resistance of Evodia rutaecarpa by engaging with a new target in a specific manner, thus improving therapeutic effectiveness.

Indexed as

Antineoplastic Agents, PhytogenicEvodiaMolecular Docking SimulationNetwork PharmacologyPancreatic NeoplasmsPlant ExtractsHumansProtein Interaction MapsAntineoplastic Agents, PhytogenicPlant Extractsbladder cancer.Evodia rutaecarpamolecular dockingnetwork pharmacologypancreatic cancerTherapeutic potential

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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.