ReviewChinese medicine2024
Application of omics technologies in studies on antitumor effects of Traditional Chinese Medicine.
Review in Chinese medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Molecular targets and mechanisms of traditional Chinese medicine combined with chemotherapy for gastric cancer: a meta-analysis and multi-omics approach.Annals of medicine · 2025Pooled it
- Multifunctional cardiac tropin I sensing using MWCNTs-COOH/PoPD composites for integrated warning, screening and protection assessment of traditional Chinese medicine-induced cardiotoxicity.Mikrochimica acta · 2026Article
- Tumor Microenvironment-on-a-Chip: Construction and Application in Traditional Chinese Medicine Anti-Tumor Therapy.Biosensors · 2026Review
- Dihydrotanshinone I as a novel signal transducer and activator of transcription 3 inhibitor for glioblastoma treatment.Journal of translational medicine · 2026Article
- Nanoformulated Phytochemicals Against Pancreatic Cancer: Emerging Advances in Therapeutic Strategies.International journal of nanomedicine · 2026Review
- Ginkgetin from Ginkgo biloba: mechanistic insights into anticancer efficacy.Natural products and bioprospecting · 2025Review
- Mechanistic insights into Sanbi Decoction for osteoarthritis treatment based on network pharmacology and experimental validation.Scientific reports · 2025Article
- Exploring the Medicinal Potential ofMetabolites · 2025Article
- Regulatory effects of traditional Chinese medicine on the breast-cancer immune microenvironment.Frontiers in immunology · 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
9 authors.
Funding
Abstract
Traditional Chinese medicine (TCM) is considered to be one of the most comprehensive and influential form of traditional medicine. It plays an important role in clinical treatment and adjuvant therapy for cancer. However, the complex composition of TCM presents challenges to the comprehensive and systematic understanding of its antitumor mechanisms, which hinders further development of TCM with antitumor effects. Omics technologies can immensely help in elucidating the mechanism of action of drugs. They utilize high-throughput sequencing and detection techniques to provide deeper insights into biological systems, revealing the intricate mechanisms through which TCM combats tumors. Multi-omics approaches can be used to elucidate the interrelationships among different omics layers by integrating data from various omics disciplines. By analyzing a large amount of data, these approaches further unravel the complex network of mechanisms underlying the antitumor effects of TCM and explain the mutual regulations across different molecular levels. In this study, we presented a comprehensive overview of the recent progress in single-omics and multi-omics research focused on elucidating the mechanisms underlying the antitumor effects of TCM. We discussed the significance of omics technologies in advancing research on the antitumor properties of TCM and also provided novel research perspectives and methodologies for further advancing this research field.
Indexed as
Identifiers
What Socratic 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 Socratic graph.