The Role of Tumor Microenvironment in Mycosis Fungoides and Sézary Syndrome.
Zhaorui LiuXuesong WuSamuel T HwangJie LiuPublished in: Annals of dermatology (2021)
Mycosis fungoides (MF) and Sézary syndrome (SS) are the most common subtypes of cutaneous T-cell lymphomas (CTCLs). Most cases of MF display an indolent course during its early stage. However, in some patients, it can progress to the tumor stage with potential systematic involvement and a poor prognosis. SS is defined as an erythrodermic CTCL with leukemic involvements. The pathogenesis of MF and SS is still not fully understood, but recent data have found that the development of MF and SS is related to genetic alterations and possibly to environmental influences. In CTCL, many components interacting with tumor cells, such as tumor-associated macrophages, fibroblasts, dendritic cells, mast cells, and myeloid-derived suppressor cells, as well as with chemokines, cytokines and other key players, establish the tumor microenvironment (TME). In turn, the TME regulates tumor cell migration and proliferation directly and indirectly and may play a critical role in the progression of MF and SS. The TME of MF and SS appear to show features of a Th2 phenotype, thus dampening tumor-related immune responses. Recently, several studies have been published on the immunological characteristics of MF and SS, but a full understanding of the CTCL-related TME remains to be determined. This review focuses on the role of the TME in MF and SS, aiming to further demonstrate the pathogenesis of the disease and to provide new ideas for potential treatments targeted at the microenvironment components of the tumor.
Keyphrases
- poor prognosis
- dendritic cells
- immune response
- early stage
- cell migration
- end stage renal disease
- stem cells
- long non coding rna
- randomized controlled trial
- newly diagnosed
- chronic kidney disease
- induced apoptosis
- risk assessment
- acute myeloid leukemia
- case report
- squamous cell carcinoma
- systematic review
- gene expression
- cell proliferation
- dna methylation
- drug delivery
- oxidative stress
- toll like receptor
- electronic health record
- lymph node
- regulatory t cells
- patient reported outcomes
- copy number
- rectal cancer
- protein kinase
- artificial intelligence
- deep learning
- locally advanced
- data analysis