Proteomics and Metabolomics Approaches on Cancer Research
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 13554
Special Issue Editors
Interests: cancer; cytokines; metabolome; lipidome; NMR; LC-MS; systems biology; computational biology; molecular biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-throughput technologies provide a great amount of data at multiple levels capable of revealing the complexity of cancer cells and their micro- and macro-environment, whereas the analyses of single data layers provide only causal relations. Therefore, multi-omics data integration strategies, including genome, epigenome, transcriptome, proteome, metabolome, microbiomes, lipidome and miRNome, also with bioinformatics and systems biology approaches, offer fantastic opportunities to understand the biology behind complex diseases, such as cancer.
In recent years, multi-omics approaches have been applied to many cancer studies for better identification of clinical subtypes or drug resistance, and the discovery of novel biomarkers able to predict the cancer progression, the patient’s outcome and the efficacy of new drugs and combination therapies.
In this context, so-called “liquid biopsies” allow a snapshot of a patient’s patho-physiological state at a given time and provide dynamic monitoring with insight into the spatial and temporal clonal evolution processes of the tumor, including secondary resistance to treatment, which is prohibited by the invasiveness of tissue biopsies.
The aim of this Special Issue is to present the latest research and new studies based on proteomics and metabolomics approaches applied to cancer research on different biological matrices such as cancer cells, tissues and biological fluids.
Dr. Susan Costantini
Dr. Biagio Pucci
Guest Editors
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Keywords
- cancer
- proteome
- metabolome
- microbiome
- lipidome
- LC-MS
- NMR
- GC-MS
- cell biology/tissue
- liquid biopsy
- systems biology
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