ReviewAsian Pacific journal of cancer prevention : APJCP2025
Bioinformatics and Omics-based Perspectives on Breast Cancer: Advancing Target Gene Identification for the Development of Anticancer Agents.
Review in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBreast cancer remains the leading cause of mortality among women worldwide. Innovative strategies, particularly bioinformatics and omics-based approaches, play a crucial role in identifying potential target genes for breast cancer treatment. This review aims to highlight the future acceleration of drug discovery from single natural compounds and plant-derived natural products, including Traditional Chinese Medicines (TCMs), and to explore their potential in enhancing the efficacy of conventional drugs when combined, through the application of bioinformatics tools and various omics-based databases, web servers, or software platforms.
methodsThis review focuses on research conducted over the past five years, utilizing three major scientific databases: PubMed, ScienceDirect, and Scopus. Using the Rayyan platform, we systematically narrowed 3,800 original studies down to 70 relevant articles.
resultThe findings present a comprehensive overview of key bioinformatics approaches and omics-based resources, including databases, web servers, and software tools, covering data mining, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Protein-Protein Interaction (PPI) network construction and hub gene selection, genetic alteration, and survival analysis. These tools have been employed to identify potential target genes that contribute to the acceleration of drug discovery from single natural compounds and plant-derived natural products, including Traditional Chinese Medicines (TCMs), as well as their role in improving the therapeutic efficacy of conventional drugs when used in combination.
conclusionA comprehensive understanding of omics-based databases, web servers and software can facilitate the acceleration of new drug discovery and enhance the effectiveness of existing conventional drugs in breast cancer therapy. This approach supports validation in preclinical models, both in vitro and in vivo, ensuring clinical applicability.
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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.