Integration of online omics-data resources for cancer research

Abstract: The manifestations of cancerous phenotypes necessitate alterations at different levelsof information-flow from genome to proteome. The molecular alterations at differentinformation processing levels serve as the basis for the cancer phenotype to emerge. Tounderstand the underlying mechanisms that drive the acquisition of cancer hallmarks it isrequired to interrogate cancer cells using multiple levels of information flow representedby different omics – such as genomics, epigenomics, transcriptomics, and proteomics.The advantage of multi-omics data integration comes with a trade-off in the form of anadded layer of complexity originating from inherently diverse types of omics-datasetsthat may pose a challenge to integrate the omics-data in a biologically meaningfulmanner. The plethora of cancer-specific online omics-data resources, if able to beintegrated efficiently and systematically, may facilitate the generation of new biologicalinsights for cancer research. In this review, we provide a comprehensive overviewof the online single- and multi-omics resources that are dedicated to cancer. Wecatalog various online omics-data resources such as The Cancer Genome Atlas (TCGA)along with various TCGA-associated data portals and tools for multi-omics analysisand visualization, the International Cancer Genome Consortium (ICGC), Catalogueof Somatic Mutations in Cancer (COSMIC), The Pathology Atlas, Gene ExpressionOmnibus (GEO), and PRoteomics IDEntifications (PRIDE). By comparing the strengthsand limitations of the respective online resources, we aim to highlight the currentbiological and technological challenges and possible strategies to overcome thesechallenges. We outline the available schemes for the integration of the multi-omicsdimensions for stratifying cancer patients and biomarker prediction based on theintegrated molecular-signatures of cancer. Finally, we propose the multi-omics drivensystems-biology approaches to realize the potential of precision onco-medicine as the uture of cancer research. We believe this systematic review will encourage scientistsand clinicians worldwide to utilize the online resources to explore and integrate theavailable omics datasets that may provide a window of opportunity to generate newbiological insights and contribute to the advancement of the field of cancer research

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: Frontiers in genetics. - 11 (2020) , 578345, ISSN: 1664-8021

Classification and Topics

• Keyword: Krebs ; Datenintegration ; Systembiologie

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2020
• Creator: Das, Tonmoy ; Geoffroy, Andrieux ; Ahmed, Musaddeque ; Chakraborty, Sajib

Further information

• DOI: 10.3389/fgene.2020.578345
• URN: urn:nbn:de:bsz:25-freidok-1696935
• Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 25.03.2025, 1:54 PM CET