Targeting CD36 as Biomarker for Metastasis Prognostic: How Far from Translation into Clinical Practice?
Ana Maria EnciuEugen RaduIonela Daniela PopescuMihail Eugen HinescuLaura Cristina CeafalanPublished in: BioMed research international (2018)
Metastasis requires cellular changes related to cell-to-cell and cell-to-matrix adhesion, immune surveillance, activation of growth and survival signalling pathways, and epigenetic modifications. In addition to tumour cells, tumour stroma is also modified in relationship to the primary tumour as well as to distant metastatic sites (forming a metastatic niche). A common denominator of most stromal partners in tumour progression is CD36, a scavenger receptor for fatty acid uptake that modulates cell-to-extracellular matrix attachment, stromal cell fate (for adipocytes, endothelial cells), TGFβ activation, and immune signalling. CD36 has been repeatedly proposed as a prognostic marker in various cancers, mostly of epithelial origin (breast, prostate, ovary, and colon) and also for hepatic carcinoma and gliomas. Data gathered in preclinical models of various cancers have shown that blocking CD36 might prove beneficial in stopping metastasis spread. However, targeting the receptor in clinical trials with thrombospondin mimetic peptides has proven ineffective, and monoclonal antibodies are not yet available for patient use. This review presents data to support CD36 as a potential prognostic biomarker in cancer, its current stage towards achieving bona fide biomarker status, and knowledge gaps that must be filled before further advancement towards clinical practice.
Keyphrases
- single cell
- cell therapy
- clinical trial
- clinical practice
- extracellular matrix
- endothelial cells
- prostate cancer
- squamous cell carcinoma
- small cell lung cancer
- gene expression
- bone marrow
- fatty acid
- public health
- type diabetes
- electronic health record
- nk cells
- cancer therapy
- big data
- escherichia coli
- lymph node
- cell proliferation
- cystic fibrosis
- signaling pathway
- drug delivery
- transforming growth factor
- mesenchymal stem cells
- metabolic syndrome
- epithelial mesenchymal transition
- pseudomonas aeruginosa
- staphylococcus aureus
- data analysis
- free survival
- childhood cancer
- high glucose
- phase ii