ReviewMetabolites2022
Metabolomics and the Multi-Omics View of Cancer.
Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- A Systematic Review on Metabolomics Analysis in Hearing Impairment: Is It a Possible Tool in Understanding Auditory Pathologies?International journal of molecular sciences · 2023Pooled it
- A Systematic Machine Learning Framework for Evaluating and Ranking Omics Layers in Cancer Drug Response Prediction.Current issues in molecular biology · 2026Article
- Local graph estimation with pathwise false discovery control.Nature communications · 2026Article
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
- Transforming beef quality through healthy breeding: a strategy to reduce carcinogenic compounds and enhance human health: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- Pre-diagnostic serum metabolome and breast cancer risk: a nested case-control study.Breast cancer research : BCR · 2025Article
- Environmental Hazards and Glial Brain Tumors: Association or Causation?International journal of molecular sciences · 2025Review
- Mitophagy's impacts on cancer and neurodegenerative diseases: implications for future therapies.Journal of hematology & oncology · 2025Review
- Recommendations for sample selection, collection and preparation for NMR-based metabolomics studies of blood.Metabolomics : Official journal of the Metabolomic Society · 2025Review
- Advancements in proteogenomics for preclinical targeted cancer therapy research.Biophysics reports · 2025Article
- The need for a cancer exposome atlas: a scoping review.JNCI cancer spectrum · 2025Article
- Comprehensive Blood Metabolome and Exposome Analysis, Annotation, and Interpretation in E-Waste Workers.Metabolites · 2024Article
- Current status and perspectives in environmental oncology.Chronic diseases and translational medicine · 2024Article
- Identification of a Novel Biomarker Panel for Breast Cancer Screening.International journal of molecular sciences · 2024Article
- Evolutionary screening of precision oncology biomarkers and its applications in prognostic model construction.iScience · 2024Article
- Imagining the future of optical microscopy: everything, everywhere, all at once.Communications biology · 2023Review
- Effectiveness of Treatments That Alter Metabolomics in Cancer Patients-A Systematic Review.Cancers · 2023Review
- High-Throughput Metabolomics Applications in Pathogenesis and Diagnosis of Valvular Heart Disease.Reviews in cardiovascular medicine · 2023Review
- Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023Review
- Glutamine Starvation Affects Cell Cycle, Oxidative Homeostasis and Metabolism in Colorectal Cancer Cells.Antioxidants (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Cancer is widely regarded to be a genetic disease. Indeed, over the past five decades, the genomic perspective on cancer has come to almost completely dominate the field. However, this genome-only view is incomplete and tends to portray cancer as a disease that is highly heritable, driven by hundreds of complex genetic interactions and, consequently, difficult to prevent or treat. New evidence suggests that cancer is not as heritable or purely genetic as once thought and that it really is a multi-omics disease. As highlighted in this review, the genome, the exposome, and the metabolome all play roles in cancer's development and manifestation. The data presented here show that >90% of cancers are initiated by environmental exposures (the exposome) which lead to cancer-inducing genetic changes. The resulting genetic changes are, then, propagated through the altered DNA of the proliferating cancer cells (the genome). Finally, the dividing cancer cells are nourished and sustained by genetically reprogrammed, cancer-specific metabolism (the metabolome). As shown in this review, all three "omes" play roles in initiating cancer. Likewise, all three "omes" interact closely, often providing feedback to each other to sustain or enhance tumor development. Thanks to metabolomics, these multi-omics feedback loops are now much more evident and their roles in explaining the hallmarks of cancer are much better understood. Importantly, this more holistic, multi-omics view portrays cancer as a disease that is much more preventable, easier to understand, and potentially, far more treatable.
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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.