Project description:gene expression profiling of locally invasive breast carcinomas treated with preoperative radiotherapy the purose of this study was to establish molecular signature associated with response to radiotherapy using radiotherapy-naïve biopsies of locally advanced breast cancer
Project description:Cancer-associated fibroblasts (CAFs) are an important component of the desmoplastic stroma in rectal cancer. Preoperative chemoradiotherapy plays a pivotal role in the management of locally advanced rectal cancer. Patient-derived CAFs were used to evaluate the response to radiotherapy and its consequent impact on colorectal cancer cells (COLO320DM). COLO320DM cells were seeded and 24 hours later 1.8Gy irradiated. Subsequently, 24h later COLO320DM cells were treated with the secretome of 10x 1.8Gy irradiated CAFs or sham treated CAFs in 0.5% of serum. RNA was isolated 6 hours or 48 hours later.
Project description:A specific miRNA signature correlates with complete pathological response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer
Project description:This is Phase II Trial of 4courses of 5-fluorouracil, doxorubicin and cyclophosphamide follwed by 4 additional courses of weekly docetaxel and capecitabine administered as Preoperative Therapy for Patients with Locally Advanced Breast Cancer, Stages II and III by US oncology (PROTOCOL 02-103) We performed gene set analysis (GSA) using functionally annotated gene sets corresponding to almost all known biological processes in ER-positive/HER2negative and ER-negative/HER2-negative breast cancer, respectively. Pre-treatment FNA from primary tumors were obtained and RNA extracted and hybridized to afymetrix microarrays according to manufacturer protocol.
Project description:This is Phase II Trial of 4courses of 5-fluorouracil, doxorubicin and cyclophosphamide follwed by 4 additional courses of weekly docetaxel and capecitabine administered as Preoperative Therapy for Patients with Locally Advanced Breast Cancer, Stages II and III by US oncology (PROTOCOL 02-103) We performed gene set analysis (GSA) using functionally annotated gene sets corresponding to almost all known biological processes in ER-positive/HER2negative and ER-negative/HER2-negative breast cancer, respectively.
Project description:A Nine-gene Signature for Predicting the Response to Preoperative Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer
Project description:Background: Neoadjuvant radiotherapy (neo-RT) is widely used in locally advanced rectal cancer (LARC) as a component of radical treatment. Despite the advantages of neo-RT, which typically improves outcomes in LARC patients, the lack of reliable biomarkers that predict response and monitor the efficacy of therapy, can result in the application of unnecessary aggressive therapy affecting patients’ quality of life. Hence, the search for molecular biomarkers for assessing the radio responsiveness of this cancer represents a relevant issue. Methods: Here, we combined proteomic and metabolomic approaches to identify molecular signatures, which could discriminate LARC tumors with good and poor responses to neo-RT. Results: The integration of data on differentially accumulated proteins and metabolites made it possible to identify disrupted metabolic pathways and signaling processes connected with response to irradiation, including ketone bodies synthesis and degradation, purine metabolism, energy metabolism, degradation of fatty acid, amino acid metabolism, and focal adhesion. Moreover, we proposed multi-component panels of proteins and metabolites which could serve as a solid base to develop biomarkers for monitoring and predicting the efficacy of preoperative RT in rectal cancer patients. Conclusions: We proved that an integrated multi-omic approach presents a valid look at the analysis of the global response to cancer treatment from the perspective of metabolomic reprogramming.
Project description:Cancer cells associated with radioresistance are likely to give rise to local recurrence and distant metastatic relapse. However, it remains unclear whether specific miRNAs have direct roles in radioresistance and/or prognosis. In this study, we performed a human miRNA expression array analysis to identify miRNAs upregulated or downregulated in the radioresistant cells. To confirm the results, we selected several candidate miRNAs according to the fold change and function of miRNAs, and detected their expression levels in the radioresistant cells and their parental cells using qRT-PCR. Moreover, we further investigate that specific miRNAs predicts pathological response to preoperative radiotherapy in locally advanced ESCC
