ReviewInternational journal of molecular sciences2021
Multi-Omics Model Applied to Cancer Genetics.
Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Decoding disease and therapy through multiomics integration and systems analysis.Briefings in bioinformatics · 2026Review
- Epigenetic Biomarkers for Predicting Nucleoside Analog Drug Response and Resistance in Cancer.Biomolecules · 2026Review
- Exploiting signal transduction pathways for cancer therapy: insights from natural products in preclinical models.Frontiers in pharmacology · 2026Review
- Deciphering and targeting oncogenic pathways through integrated approaches and amino acid metabolism in hematologic malignancies.Discover oncology · 2025Review
- Exploration of signature-related FAM genes and correlation between FAM50A expression and the pathogenesis and prognosis of hepatocellular carcinoma.Translational cancer research · 2025Article
- Pan-cancer analysis and validation of NT5DC2: emphasizing its prognostic significance and immunological role in TNBC.Discover oncology · 2025Article
- New Frontiers of Biomarkers in Metastatic Colorectal Cancer: Potential and Critical Issues.International journal of molecular sciences · 2025Review
- SHASI-ML: a machine learning-based approach for immunogenicity prediction inFrontiers in cellular and infection microbiology · 2025Article
- From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- MASE-GC: a multi-omics autoencoder and stacking ensemble framework for gastric cancer classification.Frontiers in cell and developmental biology · 2025Article
- Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review.Computational and structural biotechnology journal · 2024Review
- A deep learning framework for hepatocellular carcinoma diagnosis using MS1 data.Scientific reports · 2024Article
- Technology and Future of Multi-Cancer Early Detection.Life (Basel, Switzerland) · 2024Review
- Nanoparticle-Mediated Drug Delivery Systems for Precision Targeting in Oncology.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Article
- Methylation‑sensitive restriction enzyme‑droplet digital PCR assay for the one‑step highly sensitive analysis of DNA methylation hotspots.International journal of molecular medicine · 2024Article
- Cancer genetics and deep learning applications for diagnosis, prognosis, and categorization.Journal of biological methods · 2024Review
- Non-invasive biomarkers for early diagnosis of pancreatic cancer risk: metabolite genomewide association study based on the KCPS-II cohort.Journal of translational medicine · 2023Article
- Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective.Journal of mammary gland biology and neoplasia · 2023Review
- An omics approach to delineating the molecular mechanisms that underlie the biological effects of physical plasma.Biophysics reviews · 2023Review
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
No grant is acknowledged in the PubMed record.
Abstract
In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities involved in oncology, we must understand what is a system biology framework and the genetic connection, because of the high heterogenicity of the backgrounds of people approaching precision medicine. In fact, it is essential to providing general theoretical information on genomics, epigenomics, and transcriptomics to understand the phases of multi-omics approach. We consider how to create a multi-omics model. In the last section, we describe the new frontiers and future perspectives of this 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.