Therapeutic Implications of TGF-β Pathway in Desmoid Tumor Based on Comprehensive Molecular Profiling and Clinicopathological Properties.
Kum-Hee YunChanghee ParkHyang Joo RyuChan-Young OckYoung Han LeeWoo-Yeol BaekHong In YoonYoon Dae HanSang Kyum KimJooHee LeeSeong-Jin KimKyung-Min YangSeung Hyun KimHyo Song KimPublished in: Cancers (2022)
(1) Background: Desmoid tumors have a relatively high local failure rate after primary treatment using surgery and/or radiotherapy. Moreover, desmoid tumors recur at the primary site for many patients. An effective therapeutic strategy for the desmoid tumor is needed to maintain quality of life and prolong survival. (2) Method: First of all, we collected desmoid tumor tissues and investigated the status of protein expression for beta-catenin and alpha-SMA through immunohistochemistry. Then, we performed targeted sequencing and whole RNA sequencing. To compare the data with other cancer types, we used NGS data from sarcoma patients at Yonsei Cancer Center (YCC-sarcoma cohort, n = 48) and The Cancer Genome Atlas (TCGA, n = 9235). Secondly, we established the novel patient-derived preclinical models ( n = 2) for the validation of treatment strategy. The same gene alteration of primary tissue was demonstrated. (3) Results: We discovered specific gene sets related to the TGF-β signaling pathway. Moreover, we selected the combination treatment comprising TGF-β inhibitor, vactosertib, and imatinib. In screening for the anti-proliferation effect, the combination treatment of TGF-β inhibitor was more effective for tumor suppression than monotherapy. (4) Conclusion: We found preclinical indications that TGF-β inhibitors could prove useful as a potential treatment for patients with desmoid tumors. Moreover, we could find some examples in clinical trials.
Keyphrases
- signaling pathway
- clinical trial
- single cell
- stem cells
- papillary thyroid
- squamous cell carcinoma
- epithelial mesenchymal transition
- minimally invasive
- early stage
- genome wide
- radiation therapy
- bone marrow
- squamous cell
- machine learning
- deep learning
- atrial fibrillation
- big data
- artificial intelligence
- cancer therapy
- patient reported outcomes
- single molecule
- lymph node metastasis
- study protocol