Navigating Cancer Complexity: Integrative Multi-Omics Methodologies for Clinical Insights.
Recent advancements in cancer multi-omics have transformed our understanding of cancer biology by integrating genomics, transcriptomics, proteomics, and metabolomics. These integrative approaches have led to the identification of novel biomarkers and therapeutic targets, offering deeper insights int...
| Publicado en: | Clinical Medicine Insights: Oncology Vol. 19; pp. 1 - 17 |
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| Autores principales: | , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
10/21/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188945358&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188945358 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11795549 B3KT jtl: Clinical Medicine Insights: Oncology issn: 11795549 maglogo: Y pubinfo: dt: 10/21/2025 vid: 19 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 188945358 188945358 188945358 10.1177/11795549251384582 188945358 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Navigating Cancer Complexity: Integrative Multi-Omics Methodologies for Clinical Insights. aug: au: Catalano, Martina D'Angelo, Alberto De Logu, Francesco Nassini, Romina Generali, Daniele Roviello, Giandomenico affil: Department of Health Sciences, Section of Clinical Pharmacology Oncology, University of Florence, Florence, Italy sug: subj: Neoplasms Familial and Genetic Neoplasms Drug Therapy Gene Therapy Genomics Metabolomics Gene Expression Profiling Tumor Markers, Biological Drug Discovery Mass Spectrometry Trends Proteogenomics Trends Bioinformatics Reproducibility of Results Treatment Outcomes Individualized Medicine Neoplasm Invasiveness Polymorphism, Single Nucleotide Lung Neoplasms Breast Neoplasms Stomach Neoplasms ab: Recent advancements in cancer multi-omics have transformed our understanding of cancer biology by integrating genomics, transcriptomics, proteomics, and metabolomics. These integrative approaches have led to the identification of novel biomarkers and therapeutic targets, offering deeper insights into the molecular intricacies of various cancers, including breast, lung, gastric, pancreatic, and glioblastoma. Despite these advances, challenges remain, such as the integration of disparate data types and the interpretation of complex biological interactions. However, developments in proteogenomics and mass spectrometry have enhanced the correlation between molecular profiles and clinical features, refining the prediction of therapeutic responses. Future research in cancer drug discovery is poised to benefit from multi-omics approaches, improving the precision and efficacy of personalized therapies. By developing integrative network-based models, researchers aim to address challenges related to heterogeneity, reproducibility, and data interpretation. A standardized framework for multi-omics data integration could revolutionize cancer research, optimizing the identification of novel drug targets and enhancing our understanding of cancer biology. This complete approach holds the promise of advancing personalized therapies by fully characterizing the molecular landscape of cancer, ultimately improving patient outcomes through more effective and targeted treatment strategies. This narrative review underscores the potential of multi-omics approaches to transform cancer research and improve patient outcomes through more precise and effective treatments. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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