New Advances in Cancer Stem Cell Research: 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: 30 November 2024 | Viewed by 244
Special Issue Editor
Interests: cancer stem cell; artificial intelligence; RNAi screening; programed cell death; reactive oxygen species; mitochondrial membrane potential
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The concept of cancer stem cells (CSCs) was introduced for the first time by Weissman IL in 2001 to consider rare cells with self-renewal potential that initiate tumorigenesis. Since then, it has been proven by many studies focusing on blood, breast, lung, liver, colon, stomach and brain tumors, as well as melanoma. In recent years, the original concept has been reconstructed by considering the plasticity of the cells between differentiated and undifferentiated cells. The tumor microenvironment can stimulate differentiated tumor cells to acquire cancer stem cell characteristics. CSCs can originate not only from normal stem cells, but also cancer cells. Although knowledge regarding the biology of CSCs is accumulating, it is not sufficient, with several gaps in topics such as the cell cycle, gene expression, cell senescence, niche, morphology and sensitivity to therapeutics. Thus, more knowledge is required which can lead to the development of new diagnosis strategies for CSCs and therapies targeting CSCs. This Special Issue aims to contribute to CSC research for cancer therapy. All research on CSC biology is welcome. This includes not only basic CSC biomarkers, cancer-associated fibroblasts, CSC signaling, drugs, antibodies, nucleic acids, and cell therapy and diagnosis, but also methods incorporating artificial intelligence technology. Through this Special Issue, we hope to help scientists in the development of CSC-based cancer therapy and diagnosis.
Dr. Tomoyasu Sugiyama
Guest Editor
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Keywords
- cancer stem cell
- biomarker
- signaling
- cancer-associated fibroblast
- artificial intelligence
- cell therapy
- antibody therapy
- cell therapy
- gene expression
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