Adipose stromal cell targeting suppresses prostate cancer epithelial-mesenchymal transition and chemoresistance.
Fei SuSongyeon AhnAchinto SahaJohn DiGiovanniMikhail G KoloninPublished in: Oncogene (2018)
Fat tissue, overgrowing in obesity, promotes the progression of various carcinomas. Clinical and animal model studies indicate that adipose stromal cells (ASC), the progenitors of adipocytes, are recruited by tumors and promote tumor growth as tumor stromal cells. Here, we investigated the role of ASC in cancer chemoresistance and invasiveness, the attributes of tumor aggressiveness. By using human cell co-culture models, we demonstrate that ASC induce epithelial-mesenchymal transition (EMT) in prostate cancer cells. Our results for the first time demonstrate that ASC interaction renders cancer cells more migratory and resistant to docetaxel, cabazitaxel, and cisplatin chemotherapy. To confirm these findings in vivo, we compared cancer aggressiveness in lean and obese mice grafted with prostate tumors. We show that obesity promotes EMT in cancer cells and tumor invasion into the surrounding fat tissue. A hunter-killer peptide D-CAN, previously developed for targeted ASC ablation, suppressed the obesity-associated EMT and cancer progression. Importantly, cisplatin combined with D-CAN was more effective than cisplatin alone in suppressing growth of mouse prostate cancer allografts and xenografts even in non-obese mice. Our data demonstrate that ASC promote tumor aggressiveness and identify them as a target of combination cancer therapy.
Keyphrases
- epithelial mesenchymal transition
- prostate cancer
- insulin resistance
- cancer therapy
- adipose tissue
- papillary thyroid
- signaling pathway
- nlrp inflammasome
- metabolic syndrome
- weight loss
- transforming growth factor
- type diabetes
- high fat diet induced
- squamous cell
- radical prostatectomy
- weight gain
- single cell
- squamous cell carcinoma
- endothelial cells
- cell therapy
- radiation therapy
- physical activity
- lymph node metastasis
- stem cells
- machine learning
- skeletal muscle
- electronic health record
- mesenchymal stem cells
- young adults
- deep learning
- data analysis
- catheter ablation
- chemotherapy induced