Cancer Cell Models for Development of Anti-cancer Drugs 2.0
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pharmacology".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 318
Special Issue Editor
Interests: rectal surgery; inflammatory bowel disease; colon cancer
Special Issue Information
Dear Colleagues,
The epithelial organ site cancers are profoundly influenced by environmental, dietary and life style factors during the multi-step process of initiation, promotion and progression. Tissue culture systems that utilize organ culture, cell culture, ex-vivo models for patient-derived xenografts (PDX) and for patient derived organoids (PDO) facilitate mechanistic studies on cancer development and cancer therapy. Conventional chemo-endocrine therapy or molecularly targeted therapy is frequently associated with systemic toxicity, spontaneous or acquired tumor resistance and emergence of therapy-resistant stem cell population that favor progression to advanced stage metastatic cancer. These limitations underscore an unmet need to develop efficacious less toxic and more selective anti-cancer drugs. The cancer cell culture models may provide valuable mechanism-driven approaches for initial screening and prioritizing promising new anti-cancer drugs as clinically translatable lead compounds.
This special issue welcomes research articles and reviews focusing on new experimental directions that utilize tumor organ and cell culture, cancer stem cell culture, and ex-vivo PDX and PDO models for their diagnostic or therapeutic applications.
You can also find more information at the following link about the 1st edition in which 10 papers in all were published: https://www.mdpi.com/journal/ijms/special_issues/cancer_model.
Prof. Dr. Gokhan Ozuner
Guest Editor
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Keywords
- tumor organ culture and cell culture
- cancer stem cell models
- patient derived xenograft (PDX) and patient derived organoid (PDO) models
- biomarker end points
- mechanistic pathways
- molecular targets
- new anti-cancer agents
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