Endometrial Cancer Stem Cells: Role, Characterization and Therapeutic Implications.
Gaia GiannoneLaura AttademoGiulia ScottoSofia GentaEleonora GhisoniValentina TuninettiMassimo AgliettaSandro PignataGiorgio ValabregaPublished in: Cancers (2019)
Endometrial cancer (EC) is the most frequent gynecological cancer. In patients with relapsed and advanced disease, prognosis is still dismal and development of resistance is common. In this context, endometrial Cancer Stem Cells (eCSC), stem-like cells capable to self-renewal and differentiation in mature cancer cells, represent a potential field of expansion for drug development. The aim of this review is to characterize the role of eCSC in EC, their features and how they could be targeted. CSC are involved in progression, invasiveness and metastasis (though epithelial to mesenchimal transition, EMT), as well as chemoresistance in EC. Nevertheless, isolation of eCSC is still controversial. Indeed, CD133, Aldheyde dehydrogenase (ALDH), CD117, CD55 and CD44 are enriched in CSCs but there is no universal marker nowadays. The most frequently activated pathways in eCSC are Wingless-INT (Wnt)/β-catenin, Notch1, and Hedghog, with a high expression of self-renewal transcription factors like Octamer binding transcription factor 4 (OCT), B Lymphoma Mo-MLV Insertion Region 1 Homolog (BMI1), North American Network Operations Group Homebox protein (NANOG), and SRY-Box 2 (SOX2). These pathways have been targeted with selective drugs alone or in combination with chemotherapy and immunotherapy. Unfortunately, although preclinical results are encouraging, few clinical data are available.
Keyphrases
- endometrial cancer
- cancer stem cells
- transcription factor
- stem cells
- dna binding
- cell proliferation
- binding protein
- epithelial mesenchymal transition
- diffuse large b cell lymphoma
- cancer therapy
- cell therapy
- poor prognosis
- papillary thyroid
- acute lymphoblastic leukemia
- nk cells
- genome wide identification
- multiple myeloma
- body mass index
- optical coherence tomography
- big data
- squamous cell
- hodgkin lymphoma
- diabetic retinopathy
- protein protein
- mesenchymal stem cells
- drug delivery
- signaling pathway
- human health
- locally advanced
- weight gain
- climate change
- risk assessment
- optic nerve
- chemotherapy induced
- artificial intelligence