Microarray analysis of serum mRNA in patients with head and neck squamous cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Marketa Capkova
PROVIDER: E-MTAB-1516 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:To compare the gene expression profile in HNSCC tumor cultured under various conditions Primary human HNSCC tumor was cultured for upto 72 hours in presence of Autologous Serum and combination of Autologous Serum and Tissue metalloproteinases ; angiogeneesis and tissue associated microenvironment signatures were studied
2014-11-22 | E-GEOD-63545 | biostudies-arrayexpress
Project description:Background Currently, no gene-expression signature (GES) established from node-positive cohorts, able to predict breast cancer evolution after systemic adjuvant chemotherapy, exists. Methods Gene-expression profiles of 252 node-positive patients (median follow-up: 7.7 years), mostly included in a randomized clinical trial (PACS01), receiving systemic adjuvant regimen, were determined by means of cDNA custom array representing 5,776 distinct genes. Findings In the training cohort, we established a 38-GES for the purpose of predicting time to distant metastasis. The 38-GES yielded unadjusted hazard ratio of 4.86 (95% CI=2.76-8.56). Even when adjusted with the two best clinicopathological prognostic scoring: NPI and Adjuvant!, 38-GES HR were 3.30 (1.81-5.99) and 3.40 (1.85-6.24), respectively. Furthermore, 38-GES improved mostly NPI and Adjuvant! intermediate-risk classified patients. NPI intermediate-risk patients (7-year MFS=87.2%) were divided into 2/3 (7-year MFS=95.5%) close to NPI low-risk group and 1/3 (7-year MFS=69.3%) close to NPI high-risk group (HR=6.97 [2.51-19.36]). Adjuvant! intermediate-risk patients (7-year MFS=88.0%) were divided into 2/3 (7-year MFS=94.8%) close to Adjuvant! low-risk group and 1/3 (7-year MFS=71.7%) close to Adjuvant! high-risk group (HR=5.31 [5.38-11.87]). The 38-GES was validated on gene-expression datasets from three external node-positive breast cancer subcohorts (n=224) generated from different microarray platforms. The 38-GES yielded unadjusted HR=2.95 (1.74-5.01). Furthermore, 38-GES showed performance in supplementary cohorts with different lymph-node status and endpoint (1,031 new patients). Interpretation The 38-GES represents a robust tool able to type systemic adjuvant treated node-positive patients at high risk of metastatic relapse, and especially powerful to separate NPI or Adjuvant! intermediate-risk node-positive patients. Keywords: disease-state analysis 252 breast cancer patients at diagnosis examined with spotted cDNA nylon membrane. Patient details: PACS01x are 2 parts of a clinical trial : PACS01A : patients had received 6 cycles of FEC100 PACS01B : patients had received 3 cycles of FEC100 then 3 cycles of Docetaxel CCRG are patients from our local cancer center (Cancer Center René Gauducheau) included with the same criteria as PACS01A (6 cycles of FEC100).
2008-11-27 | E-GEOD-11264 | biostudies-arrayexpress
Project description:Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in India. Despite improvements in treatment strategy, the survival rates of HNSCC patients remains poor. Thus, it is necessary to identify biomarkers that can be used for early detection of disease. In this study, we employed iTRAQ-based quantitative mass spectrometry analysis to identify dysregulated proteins from a panel of head and neck squamous cell carcinoma (HNSCC) cell lines. We identified 2,468 proteins, of which 496 proteins were found to be dysregulated in at least two HNSCC cell lines compared to immortalized normal oral keratinocytes. We detected increased expression of replication protein A1 (RPA1) and heat shock protein family H (Hsp110) member 1 (HSPH1), in HNSCC cell lines compared to control. The differentially expressed proteins were further validated using parallel reaction monitoring (PRM) and western blot analysis in HNSCC cell lines. Immunohistochemistry-based validation using HNSCC tissue microarrays revealed overexpression of RPA1 and HSPH1 in 15.7% and 32.2% of the tested cases, respectively. Our study illustrates quantitative proteomics as a robust approach for identification of potential HNSCC biomarkers.
2018-09-19 | PXD009241 | Pride
Project description:Serum-driven responses, many of which are related to wound healing, are potentially deregulated in cancer development and associated genomic alterations might have prognostic value. The current study assessed fetal bovine serum-induced transcriptomic changes for clinical relevance in head and neck squamous cell carcinoma (HNSCC) using oral keratinocyte models otherwise routinely cultured without serum, including normal keratinocytes (NOK) and the transformed keratinocyte lines SVpgC2a, SqCC/Y1 and LK0412. Bioinformatics-driven analysis of gene expression implicated primarily serum-induced terminal differentiation in NOK including alterations in 99 genes, 13 gene ontology-categories and 6 molecular networks and involvement of 7 key regulator genes. Compared to NOK, the transformed lines expressed around 3-fold lower numbers of differently expressed transcripts, unique sets of gene ontologies, molecular networks and key regulator genes for each line, and consistent absence of terminal differentiation markers. Assessment of the complete in vitro/serum exposure-derived set of differentially expressed genes (totally 180 genes) relative a clinical, information-rich HNSCC data set identified 17 survival-associated genes of which only 12 had previous association to HNSCC. Multi-step validation of the survival-associated genes relative to several independent tumor data sets, including in the Human Gene Expression Map and Human Protein Atlas databases, confirmed novel association to HNSCC for genes COTL1 and INSIG1 and novel poor outcome prediction for the genes CUL4B and PDGFRL. The definition of normal and aberrant serum responses in keratinocyte models therefore coupled new genes to HNSCC including with relevance to prognosis. Analysis of gene expression changes in serum-exposed normal and transformed cells relative the respective un-exposed states. Significantly differentially expressed genes were next assessed by bioinformatics processing using Gene Ontology categories and network analyses. Findings were also validated relative independent HNSCC data sets as well as transcriptomics and proteomics databases.
2014-01-01 | E-GEOD-39376 | biostudies-arrayexpress
Project description:Osteosarcoma is a relatively rare solid tumour, but the most common primary bone cancer. It predominantly affects young people and is highly malignant, requiring aggressive surgical resection and cytotoxic chemotherapy. Five-year survival for patients with metastatic osteosarcoma is only around 30% 14. We report that pigs with heterozygous and homozygous inactivation of TP53 consistently develop osteosarcomas, providing a new model of osteosarcoma at human scale to understand and treat this devastating disease. Gene expression profiling and data analysis was further described in 'A porcine model of osteosarcoma' by Anja Saalfrank et al. (2016). Differential gene expression profiles of MSCs and sarcomas relative to wild type in order to identify transcriptional changes associated with the stages of porcine MSC transformation
2016-02-23 | E-GEOD-78214 | biostudies-arrayexpress
Project description:Background: Human papillomavirus has been shown to have a causal role in the development of head and neck squamous cell carcinoma and represents a distinct and well-defined pathology. While HPV-positive HNSCC is associated with a better response to treatment and prognosis, a subset of patients do not respond favorably to current standard of care thus suffering unnecessary morbidity and delay to receive effective therapy. Methods: RNA from nineteen patients with HPV-positive HNSCC was subjected to gene expression analysis using Affymetrix microarrays. HPV-status was confirmed by detection of HPV16 E7 with RT-PCR. Results: In addition to specific genetic biomarkers (including LCE3D, KRTDAP, HMOX1, KRT19, MDK, TSPAN1), differentially expressed genes were highly represented in the cell processes of genomic stability, cell cycle, and DNA damage. Conclusions: This pilot study suggests possible biomarkers that predict response to chemoradiation therapy. These data can potentially lead to an assay that can be used clinically to predict HPV-positive HNSCC patients that will not benefit from chemoradiation, thus helping clinicians to lower morbidity and get selected patients to surgery faster. HPV-positive head and neck squamous cell carcinoma (HNSCC) has a good prognosis with a large percentage of patients responding to therapy. However, a certain percentage of patients do not respond. Gene expression data from Affymetrix Human Exon 1.0ST microarrays was utilized to compare patients that responded to therapy with those that did not respond.
2014-12-19 | E-GEOD-40020 | biostudies-arrayexpress
Project description:Study the effects of 3 weeks training exercise in chronic obstructive pulmonary disease (COPD) patients and healthy individuals. Skeletal muscle biopsies of 5 COPD patients (aged 63±2 year) and 3 age-matched healthy individuals were studied before and after 3 weeks of a supervised endurance training program. Samples were collected from open muscle biopsies of the vastus lateralis of 5 COPD patients and 3 age-matched healthy individuals before and after 3 weeks of a supervised endurance training program. Patients and controls underwent an endurance exercise program on a cycloergometer 5 days a week for three consecutive weeks. One 1 h session/day was established in all subjects, with effective exercise periods of at least 30 min in each case.
2014-09-01 | E-GEOD-27543 | biostudies-arrayexpress
Project description:The aim of the present study was to evaluate miRNAs as response predictors in FFPE head and neck samples from a phase II clinical trial designed to evaluate the feasibility of delivering cisplatin concurrent with radiotherapy after an induction chemotherapy (IC) regimen based on the combination of cisplatin plus paclitaxel in locally advanced head and neck squamous cell carcinoma (HNSCC) patients. For this purpose, we assessed the global miRNA expression profile of 15 HNSCC patients undergoing treatment, in order to identify miRNAs able to segregate resistant tumors from the sensitive ones, thus serving as markers to predict response. The results showed four miRNAs (miR-21, miR-494, miR-720 and miR-923) that were overexpressed in HNSCC FFPE samples.
2016-10-25 | E-MTAB-4854 | biostudies-arrayexpress
Project description:Tissue samples were collected from patients diagnosed with HNSCC (oropharynx, hypopharynx, larynx). Samples were taken from the tumor site (tumor samples) and from a site distant to the tumor (normal samples) prior to therapy. The study goals were to 1) compare the expression of microRNAs in tumor and normal samples from individual patients and 2) determine whether the differences in expression of microRNAs is associated with patient survival outcomes. Fifteen paired normal and tumor samples from individual patients were analyzed (a total of 30 samples).
2014-07-07 | E-GEOD-58911 | biostudies-arrayexpress
Project description:A growing proportion of head and neck squamous cell carcinomas (HNSCC) is associated with the human papilloma virus (HPV), particularly HPV16. We compare tumors with different HPV16 DNA and RNA (E6*I) status from 290 consecutively recruited HNSCC patients by gene expression profiling and targeted sequencing of 50 genes. We confirm that the HPV16 DNA+ RNA+ tumors are molecularly distinct from the HPV-negative (DNA-) HNSCC and have elevated expression of cell cycle genes and rare TP53 mutations (3.6%, 1/28). We show that tumors with non-transcriptionally active HPV16 (DNA+ RNA-) are similar to HPV DNA- tumors regarding gene expression and frequency of TP53 mutations (47%, 8/17 and 43%, 72/167, respectively). Furthermore, we identify four gene expression clusters. They moderately but significantly differ in overall survival. One cluster exhibits high expression of immune response genes (IR) and contains most of the HPV16 DNA+ RNA+ patients. The IR cluster and disruptive TP53 mutations are associated with lymph node metastasis independent of HPV16 status and we validate each of these associations in another large data set. Consistent with earlier studies, disruptive TP53 mutations are prognostically unfavorable. Our findings underscore the importance of measuring the HPV16 RNA (E6*I) and TP53-mutation status for patient stratification and for the first time identify associations of an immune response-related gene expression cluster and TP53 mutations with lymph node metastasis in HNSCC. A total of 300 samples were considered. Quality control procedures were applied to microarray probe-level intensity files. A total of 270 tumor arrays remained after removing low-quality arrays, duplicate arrays, and arrays from non-HNSCC samples. Expression values were log2-transformed and normalized using RSN.
2015-06-24 | E-GEOD-65858 | biostudies-arrayexpress