ReviewInternational journal of molecular sciences2023
Omics Technologies Improving Breast Cancer Research and Diagnostics.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mechanisms of traditional Chinese medicine overcoming of radiotherapy resistance in breast cancer.Frontiers in oncology · 2024Pooled it
- Non-Invasive Diagnosis of Early Breast Cancer: Current and Emerging Liquid Biopsy Biomarkers.Cancers · 2026Review
- Emerging Breast Cancer Subpopulations: Functional Heterogeneity Beyond the Classical Subtypes.International journal of molecular sciences · 2025Review
- Innovative Approaches to EMT-Related Biomarker Identification in Breast Cancer: Multi-Omics and Machine Learning Methods.Biotech (Basel (Switzerland)) · 2025Review
- Epithelial-Mesenchymal Transition in Cancer: Insights Into Therapeutic Targets and Clinical Implications.MedComm · 2025Review
- Precision Medicine for Cancer and Health Equity in Latin America: Generating Understanding for Policy and Health System Shaping.International journal of environmental research and public health · 2025Review
- Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification.Journal of translational medicine · 2025Article
- Disorders of Gut Microbiota and Plasma Metabolic Profiles May Be Associated with Lymph Node Tuberculosis.Microorganisms · 2025Article
- Upregulation of EPSTI1/Drp1/AKT1 Signaling Pathways Using pDNA/Melittin Against Breast Cancer.Biochemical genetics · 2025Article
- Zebrafish navigating the metabolic maze: insights into human disease - assets, challenges and future implications.Journal of diabetes and metabolic disorders · 2025Review
- Omics in Keratoconus: From Molecular to Clinical Practice.Journal of clinical medicine · 2025Review
- Lactate Ameliorates Kainic Acid-Induced Neuroinflammation and Cognitive Impairment via the Chemokine Signaling Pathway in Mice.Journal of inflammation research · 2025Article
- COL1A1, COL1A2, CHN1, and FN1 Promote Tumorogenesis and Act as Markers of Diagnosis and Survival in Gastric Cancer Patients.Current pharmaceutical biotechnology · 2025Article
- Importance of LINC00852/miR-145-5p in breast cancer: a bioinformatics and experimental study.Discover oncology · 2024Article
- Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women's Health Initiative.Metabolites · 2024Article
- Revisiting Epigenetics Fundamentals and Its Biomedical Implications.International journal of molecular sciences · 2024Review
- Distinct mRNA expression profiles and miRNA regulators of the PI3K/AKT/mTOR pathway in breast cancer: insights into tumor progression and therapeutic targets.Frontiers in oncology · 2024Article
- Editorial: Heterogeneity in breast cancer: clinical and therapeutic implications.Frontiers in oncology · 2024Article
- Contemplating the prognostic and therapeutic potential of CD19: a comprehensive analysis across diverse cancer types.American journal of translational research · 2024Article
- ELW-CNN: An extremely lightweight convolutional neural network for enhancing interoperability in colon and lung cancer identification using explainable AI.Healthcare technology lettersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its heterogeneity impacts the response to treatment. Biomedical research has entered the era of massive omics data thanks to the high-throughput sequencing revolution, quick progress and widespread adoption. These technologies-liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics and artificial intelligence imaging-could help researchers and clinicians to better understand the formation and evolution of BC. This review focuses on the findings of recent multi-omics-based research that has been applied to BC research, with an introduction to every omics technique and their applications for the different BC phenotypes, biomarkers, target therapies, diagnosis, treatment and prognosis, to provide a comprehensive overview of the possibilities of BC research.
Indexed as
Identifiers
What 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.