ReviewMedical oncology (Northwood, London, England)2025
Cancer network pharmacology: multi-network regulatory mechanisms and future directions.
Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- A Narrative Review of Artificial Intelligence for Drug Repurposing: Lessons From COVID-19 and Oncology (2020-2025).CPT: pharmacometrics & systems pharmacology · 2026Review
- Identifying the potential anti-lung cancer targets of Baicalein using a network pharmacology approach.Scientific reports · 2026Article
- Integrated analysis of isorhamnetin-associated targets in chronic pancreatitis and pancreatic cancer: immune-infiltration associations and antitumor effects in pancreatic cancer cells.Frontiers in immunology · 2026Article
- Deciphering Multitarget Mechanisms of Cardiac Glycosides in Acute Myeloid Leukemia Using a Network Pharmacology and Molecular Docking.Drug design, development and therapy · 2026Article
- Unraveling tissue-specific molecular targets of dihydroartemisinin in non-small cell lung cancer: an integrative machine learning and network pharmacology approach.Medical oncology (Northwood, London, England) · 2025Article
- AI driven network pharmacology: Multi-scale mechanisms of traditional Chinese medicine from molecular to patient analysis.Computational and structural biotechnology journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cancer is a medical problem that has been difficult to overcome on a global scale. Owing to the sharing of single or multiple genes or regulatory modules, cancer treatment often faces severe challenges. The core of network pharmacology lies in constructing human disease gene regulation networks and multi-pharmacology network. With the continuous updating and iteration of new technologies, it is helpful for us to systematically understand the occurrence and development mechanism behind complex diseases and elucidate the pharmacological mechanisms from the perspective of biological network balance. This review aims to clarify the application of network pharmacology in exploring the pharmacological treatment mechanism of natural products, drug repositioning, and new technology combinations in the context of complex pathogenesis of cancer, so as to help realize the full potential of network pharmacology. Additionally, we discuss the future development of network pharmacology to guide clinical diagnosis and treatment.
Indexed as
Identifiers
40506575What OpenQuestion holds
Registered trials
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.