Project description:MicroRNAs play a crucial role in tumorigenesis. However, the value of microRNAs in the diagnosis and treatment of tongue squamous cell carcinoma (TSCC) still await investigations. To identify the microRNAs associated with the metastasis of TSCC, we analyzed the transcriptomic difference between metastatic and the non-metastatic TSCC tissue. We identified a set of metastasis-related microRNAs with potential prognostic value.
Project description:Understanding the molecular mechanisms and gene expression in laryngeal squamous cell carcinoma (LSCC) may explain its aggressive biological behavior and regional metastasis pathways. Better understanding of the molecular mechanisms underlying LSCC metastasis and the search for possible molecular targets seems promising. Interpreting the links between the differentially expressed genes in advanced stages can lead to a search for predictive markers that can also help determine the possible treatment routes. We designed this study to detect possible genetic alterations in a homogeneous group of patients with locoregionally advanced laryngeal cancer who underwent total laryngectomy and neck dissection. Patients with and without lymph node metastasis were selected to examine the differential gene expression in the normal mucosa, tumor, and lymph node tissues of each patient. Our main purpose was to identify the possible commonly expressed genes in this homogenous group of Turkish patients with locoregionally advanced laryngeal cancer. Second, we aimed to determine the predictive role of these genes in lymph node metastasis and overall prognosis.
Project description:MicroRNAs (miRNAs) have been recently detected in the circulation of cancer patients, where they are associated with clinical parameters. Discovery profiling of circulating small RNAs has not been previously reported in breast cancer (BC), and was carried out in this study to identify blood-based small RNA markers of BC clinical outcome. The pre-treatment sera of 42 stage II–III locally advanced and inflammatory BC patients who received neoadjuvant chemotherapy (NCT) followed by surgical tumor resection were analyzed for marker identification by deep sequencing all circulating small RNAs.
Project description:To identify lung metastasis associated microRNAs in triple negative breast cancer (TNBC), we have employed the commercially available Agilent Human miRNA V19.0 Microarray (Platform GPL19730) as a discovery platform. In comparison with LM-Normal, 11 microRNAs significantly altered in both LM-Met and LM-Tumor, and then three of them (hsa-miR-21-3p, hsa-miR-21-5p and hsa-miR-211-3p) were excluded, which were also up-regulated in RF-Tumor. Consequently, eight deregulated microRNAs were identified to be putatively involved in process of lung metastasis, especially miR-629-3p, which was most up-regulated in both LM-Met and LM-Tumor. To validate the microarray data, we utilized qRT-PCR to assess expression levels of the eight miRNAs in the same samples.
Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
Project description:Microarray analysis of 28 brain metastasis samples from lung adenocarcinoma patients. 28 brain metastasis samples: 19 from Marc Ladanyi 9 from William L. Gerald
Project description:We analyzed cell-free microRNAs (cfmiRs) in blood, tissue, and urine samples of melanoma patients to find potential biomarkers for monitoring and assessing early detection of melanoma metastasis. This study demonstrates that identifying cfmiR signatures in body fluids may allow for detection and assessment of melanoma brain metastasis (MBM) and metastatic melanoma patients undergoing checkpoint inhibitor immunotherapy treatments.