Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias
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ABSTRACT: Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias Comparison of 10 samples from non-progressive leukoplakias (did not turn into oral squamous cell carcinoma), with 10 samples from progressive leukoplakias (turned into oral squamous cell carcinoma w/in 5 yrs)
Project description:The aim of our study was to discover a miR marker panel prognostic of 5-year survival in OSCC patients that may be utilized in parallel with the current clinical covariates. We assessed differential expression of miRNAs genome-wide via deep sequencing in 20 tumor tissue samples. We also attempted to identify deregulated miR expression signatures that may serve as the prognostic marker of cancer survival. Selected miR marker-based panel then may serve as a guide for selection of appropriate follow-up chemo/radiation treatment, significantly improving the clinical management of OSCC and the overall survival rate. Identify miRs differentially expressed in the poor prognosis group compared to the good prognosis group
Project description:DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methylation status of 83 comprehensively annotated oral tongue squamous cell carcinoma (OTSCC) formalin-fixed paraffin-embedded (FFPE) samples from a single institution were examined with the Illumina HumanMethylation450K (HM450K) array. 83 FFPE primary OTSCC tumour samples were analysed in one experimental run.
Project description:Melanoma inhibitory activity (MIA) gene family is novel tumor-associated molecules. Although MIA gene family has several tumor progressive and/or suppressive functions, the detailed relevant signaling partners are unclear and investigated. In this study, we investigated the detailed MIA gene family-associated signaling using human oral squamous cell carcinoma cells. Human oral squamous cell carcinoma-derived HSC3 cells were transfected withãcontrol, MIA, MIA2, TANGO, MATE2, or LEMD1 siRNA. The effect on geneãknockdown was evaluated by cDNA microarray.
Project description:Different aspects of intra-tumor heterogeneity (ITH), which are associated with development of cancer and its response to treatment, have postulated prognostic value. Here we searched for the potential association between phenotypic ITH analyzed by mass spectrometry imaging (MSI) and the prognosis of head and neck cancer. The study involved tissue specimens resected from 77 patients with locally advanced oral squamous cell carcinoma, including 37 patients where matched samples of primary tumor and synchronous lymph node metastases were analyzed. A 3-year follow-up was available for all patients that enabled their separation into two groups: with no evidence of disease (NED, n=41) and with progressive disease (PD, n=36). After the on-tissue trypsin digestion, peptide maps of all cancer regions were segmented using an unsupervised approach to reveal their intrinsic heterogeneity. We found that intra-tumor similarity of spectra was higher in the PD group and diversity of clusters identified during image segmentation was higher in the NED group, which indicated a higher level of ITH in patients with more favorable outcomes. Furthermore, signature of molecular components that correlated with long-term outcomes could be associated with proteins involved in the immune functions. Hence, we proposed that a higher level of ITH revealed by MSI in cancers with a better prognosis could reflect the presence of heterotypic components of tumor microenvironment such as infiltrating immune cells enhancing the response to the treatment. LC-MALDI-MS/MS data deposited in this repository originate from protein lysates obtained from FFPE sections consecutive to sections dedicated to MSI measurements. The hypothetical identity of the MSI components was established by assignment of a component location on the m/z scale for the measured masses of tryptic peptides identified by LC-MALDI-MS/MS allowing ±0.05% mass tolerance.
Project description:Common overexpressing genes were identified in all human oral squamous cell carcinoma tissues and/or cultured cells. Ten oral squamous cell carcinoma tissues and 10 human oral squamous cell carcinoma cell lines were analyzed. Three normal oral mucosa tissues and a human non-neoplastic keratinocyte cell lines were used as control samples.
Project description:Melanoma inhibitory activity (MIA) gene family is novel tumor-associated molecules. Although MIA gene family has several tumor progressive and/or suppressive functions, the detailed relevant signaling partners are unclear and investigated. In this study, we investigated the detailed MIA gene family-associated signaling using human oral squamous cell carcinoma cells.
Project description:These are the Visium spatial transcriptomic data (10x Genomics) from 9 patients with Head and Neck Squamous Cell Carcinoma (oral cavity) treated in Gustave Roussy. Patients are stratified by their tumoral density of multinucleated giant cells (MGC) : 6 patients have high MGC density (patients 1, 2, 3, 4, 5, 8) and 3 have low MGC density (patients 6, 7, 9). There is one data file for each patient, except for one patient that has 3 data files (patient 1). Accordingly, there are 9 patients but 11 samples. The source code of the is available on GitHub (https://github.com/AhmedAmineAnzali/MGC_Paper_Analysis). The results are published in the paper untitled : Trem2-expressing multinucleated giant macrophages are a biomarker of good prognosis in head and neck squamous cell carcinoma (Gessain et al., 2024, Cancer Discovery). Please contact the corresponding author for more information.
Project description:Oral squamous cell carcinoma is one of the most common cancers occurring worldwide associated with significant mortality and morbidity. Despite the early prognostic factors which such as histological tumor grading, staging, the extent of the tumor invasion, and involvement of regional lymph nodes, there is a demand for development of molecular markers which will help in unraveling molecular carcinogenesis associated with OSCC. In the current study, we carried out an in-depth proteomic analysis using high-resolution mass spectrometry to identify the differentially expressed proteins among the types of OSCC FFPE tissues. This resulted in the identification of 2,399 non-redundant proteins expressed differentially across histologically-classified well, moderate and poorly differentiated OSCC specimens.
Project description:Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa. Affymetrix microarrays were used to define differential gene expression. Populations of fibroblasts were isolated from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma, maintained in 3D collagen I biomatrices, RNA extracted and processed for Affymetrix arrays. Fibroblasts maintained as monolayers were also included as comparators.