Combating Drug Resistance in Cancer: From Novel Biomarkers to Enhanced Therapeutic Efficacy—2nd Edition
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 (1 May 2024) | Viewed by 1741
Special Issue Editor
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 significant hurdle for successfully treating cancer. Many scientific findings from recent preclinical and clinical studies have undoubtedly broadened our current knowledge of the mechanisms underlying the development of cancer drug resistance, paving 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 the significant molecular players governing cancer progression and treatment response; these data are publicly available in various 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.), the integration and analysis of data from public cancer data repositories and newly obtained experimental data using artificial intelligence tools could facilitate the data-driven identification of crucial molecular features in chemoresistance. In addition, the discovery of novel biomarkers that could enable the monitoring of treatment response for timely identification of cancer patients with an increased risk of disease recurrence holds promise in improving the management of cancer patients. In this Special Issue of 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 tailored treatment; the application of bioinformatics and artificial intelligence tools for drug response prediction, risk stratification and the elucidation of 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.
More published papers can be found in the closed Special Issue of our first edition: Combating Drug Resistance in Cancer—from Novel Biomarkers to Enhanced Therapeutic Efficacy.
Dr. Mirela Sedic
Guest Editor
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Keywords
- chemoresistance
- biomarker
- artificial intelligence
- bioinformatics
- -omics
- anti-cancer drug response prediction
- risk stratification
- rational cancer treatment combinations
