Combating Drug Resistance in Cancer—from Novel Biomarkers to Enhanced Therapeutic Efficacy
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 December 2022) | Viewed by 39105
Special Issue Editors
Interests: chemotherapy; chemoresistance; cancer biology; colon cancer; cell signaling; proteomics; lipidomics; sphingolipids; biomarkers; personalised medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development of chemoresistance represents a major hurdle for the successful treatment of cancer. A multitude of scientific findings from recent preclinical and clinical studies have undoubtedly broadened our current knowledge of the mechanisms underlying the development of cancer drug resistance and have paved the way for the design of novel therapeutic strategies for patients with refractory cancer. In particular, numerous genomics studies have already been conducted in different cancer types to uncover major molecular players governing cancer progression and treatment response, with these data being publicly available in different cancer databases and repositories. However, the more comprehensive characterisation of cancer drug resistance encompassing different layers of molecular information (e.g., transcriptomics, proteomics, metabolomics, lipidomics, microRNAs, long non-coding RNAs, medical/mass-spectrometry imaging, etc.) and the integration and analysis of data from public cancer data repositories and newly obtained experimental data using artificial intelligence tools would facilitate the data-driven identification of the key molecular features of chemoresistance. In addition, the discovery of novel biomarkers that would enable treatment response to be monitored for a timely identification of cancer patients with an increased risk for disease recurrence holds promise to improve the management of cancer patients. In this Special Issue of the IJMS, we welcome basic and translational studies that address all issues pertinent to cancer drug resistance, including the following: the discovery of novel molecular mechanisms and druggable targets for chemoresistance; the identification of novel prognostic and predictive biomarkers of chemoresistance to enable patient stratification and to tailor treatment; the application of bioinformatics and artificial intelligence tools for drug response prediction, risk stratification and the elucidation of the chemoresistance mechanisms by integrating different molecular information; and the discovery of novel combinations of clinically approved anticancer drugs with chemotherapy-sensitising agents to overcome chemoresistance in cancer patients.
Dr. Mirela Sedic
Dr. Miran Čoklo
Guest Editors
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Keywords
- chemoresistance
- biomarker
- artificial intelligence
- bioinformatics
- -omics
- anti-cancer drug response prediction
- risk stratification
- rational cancer treatment combinations
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