ReviewThe EPMA journal2018
The crucial role of multiomic approach in cancer research and clinically relevant outcomes.
Review in The EPMA journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.
What it found
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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.
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Who cites it
137 citing papers in PubMed.
- Improving the malignancy prediction of breast cancer based on the integration of radiomics features from dual-view mammography and clinical parameters.Clinical and experimental medicine · 2023Trial
- Identification and Validation of an E2F Targets-Related Gene Signature Risk Score Predicting the Prognosis of Patients with Uveal Melanoma.Ocular oncology and pathology · 2026Article
- Screening, Prognostic, and Predictive Molecular Tools for Colorectal Cancer: Recent Advances in the Classical Background.International journal of molecular sciences · 2026Review
- Article
- A Framework for Analyzing the Epigenetic and Transcriptomic Landscape of Cancers Using Single-Cell Multiomic Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- MoJKNet: a jumping knowledge graph framework for multi-omics cancer subtype prediction.Frontiers in genetics · 2026Article
- Development and validation of an interpretable machine learning model identify the lactylation-related protein SUSD3 as a prognostic and therapeutic biomarker for breast cancer.Frontiers in immunology · 2026Article
- Integrated Machine Learning and Multi-Omics Identifies a Novel Molecular Signature for Improving the Prognosis of Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2026Article
- Multi-omics driven computational framework for cancer molecular subtype classification.Scientific reports · 2025Article
- Serum multiomics prediction of prognosis and adverse reactions to concurrent chemoradiotherapy in patients with esophageal cancer.British journal of cancer · 2025Article
- NGS Approaches in Clinical Diagnostics: From Workflow to Disease-Specific Applications.International journal of molecular sciences · 2025Review
- In Search of Ideal Solutions for Cancer Diagnosis: From Conventional Methods to Protein Biomarkers in Liquid Biopsy.Proteomes · 2025Review
- In-depth patient-specific analysis of tumor heterogeneity in melanoma brain metastasis: Insights from spatial transcriptomics and multi-region bulk sequencing.Translational oncology · 2025Article
- Immunohistochemical Expression of Baculoviral Inhibitor of Apoptotic Proteins Repeat-Containing Protein in Tumors of Salivary Gland Origin.Journal of dentistry (Shiraz, Iran) · 2025Article
- A Brief Overview of Molecular Biology in Pituitary Adenomas with a Focus on Aggressive Lesions.International journal of molecular sciences · 2025Review
- Predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer with two step feature selection and ensemble learning.Scientific reports · 2025Article
- Multiomics as instrument to promote 3P medical approaches for the overall management of respiratory syncytial viral infections.The EPMA journal · 2025Review
- Systematic identification of cancer pathways and potential drugs for intervention through multi-omics analysis.The pharmacogenomics journal · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Integrating functional proteomics and next generation sequencing reveals potential therapeutic targets for Taiwanese breast cancer.Clinical proteomics · 2025Article
77 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cancer with heavily economic and social burden is the hot point in the field of medical research. Some remarkable achievements have been made; however, the exact mechanisms of tumor initiation and development remain unclear. Cancer is a complex, whole-body disease that involves multiple abnormalities in the levels of DNA, RNA, protein, metabolite and medical imaging. Biological omics including genomics, transcriptomics, proteomics, metabolomics and radiomics aims to systematically understand carcinogenesis in different biological levels, which is driving the shift of cancer research paradigm from single parameter model to multi-parameter systematical model. The rapid development of various omics technologies is driving one to conveniently get multi-omics data, which accelerates predictive, preventive and personalized medicine (PPPM) practice allowing prediction of response with substantially increased accuracy, stratification of particular patients and eventual personalization of medicine. This review article describes the methodology, advances, and clinically relevant outcomes of different "omics" technologies in cancer research, and especially emphasizes the importance and scientific merit of integrating multi-omics in cancer research and clinically relevant outcomes.
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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.