Investigation of the physiological response of radiation-induced cystitis patients using hyperbaric oxygen.

Introduction: In this pilot study we have taken a novel functional approach to assess whether differences exist in the activity of key genes involved in the response to radiation and oxidative stress between patients with radiation cystitis. Materials and methods: Arm 1 consisted of patients who had previously been treated for prostate cancer and who had received definitive radiation treatment and had subsequently developed cystitis and/or proctitis and were being treated by hyperbaric oxygen (HBO). Arm 2 consisted of patients who had never been treated by radiation but who were scheduled for HBO treatment for another pathology. The genes chosen for the study were HMOX1, NOS2, SOD2, TNFα, IL-6 and TGFß. Blood and urine was collected pre and post HBO treatment. Results: Gene expression showed a significant difference in NOS2 (p = 0.0178) and TNFα (p = 0.037) between the control and cystitis patients. The plasma levels of VEGF-A were significantly elevated in cystitis patients and there was a strong trend for significant overexpression in urine. Comparing pre and post-dive samples showed little difference in both groups of patients except for VEGF-A which was reduced after the dive in plasma from cystitis patients. Conclusions: This study uncovered some physiological differences in patients with radiation-induced cystitis using HBO treatment as a stimulus to induce mild oxidative stress. Further research is ongoing to assess whether the acute exposure to HBO might be a physiological screening tool to identify patients susceptible to chronic radiation toxicity.

Low Dose Brain Irradiation Reduces Amyloid-ß and Tau in 3xTg-AD Mice.

We have previously reported that low doses of external beam ionizing irradiation reduced amyloid-ß (Aß) plaques and improved cognition in APP/PS1 mice. In this study we investigated the effects of radiation in an age-matched series of 3xTg-AD mice. Mice were hemibrain-irradiated with 5 fractions of 2 Gy and sacrificed 8 weeks after the end of treatment. Aß and tau were assessed using immunohistochemistry and quantified using image analysis with Definiens Tissue Studio. We observed a significant reduction in Aß plaque burden and tau staining; these two parameters were significantly correlated. This preliminary data is further support that low doses of radiation may be beneficial in Alzheimer's disease.

Prognostic significance of MTOR expression in HPV positive and negative head and neck cancers treated by chemoradiation.

BACKGROUND: The mechanistic target of rapamycin (MTOR) plays a key role in regulating cell growth and metabolism and is commonly overexpressed in head and neck cancer (HNSCC). This study investigated the association of MTOR with clinical outcome in human papilloma virus (HPV) positive and negative HNSCC patients treated by chemoradiation. METHODS: A tissue microarray (TMA) consisting of cores from 109 HNSCC patients treated by definitive chemoradiation was constructed and stained with antibodies against p16 and MTOR and expression correlated with clinicopathological features and clinical outcome. RESULTS: MTOR varied widely between tumor cores and was not associated with HPV status or clinicopathological features. There was a positive correlation with pre-treatment FDG uptake. (P = .01). In HPV negative patients, MTOR predicted for shorter locoregional control (P = .02), diseases free survival (P = .02), and overall survival (P = .04). MTOR expression was not associated with outcome in HPV positive patients. CONCLUSIONS: Prognostic significance of MTOR expression depends on HPV status.

Combined CD44, c-MET, and EGFR expression in p16-positive and p16-negative head and neck squamous cell carcinomas.

PURPOSE/OBJECTIVE(S): To examine the association between CD44 and c-MET expression in relation to p16 and EGFR in patients with head and neck squamous cell carcinoma (HNSCC). MATERIALS/METHODS: Immunohistochemical staining of CD44, p16, EGFR, and c-MET was performed on 105 locally advanced HNSCC patients treated with chemoradiation. CD44 expression was correlated with c-MET, EGFR, and p16, locoregional control (LRC), distant metastases (DM), disease-free survival (DFS) and overall survival (OS). RESULTS: High CD44 expression was present in 33% of patients and was associated with non-oropharynx primaries (P < 0.001), high c-MET expression (P < 0.001), p16-negative (P < 0.001) and EGFR-positive tumors (P < 0.001). Fifty-seven percent of CD44 high expressing tumors had high c-MET expression compared to 21% of CD44 low expressing tumors (P < 0.001). High CD44 expression predicted for worse LRC (HR: 2.44; 95% CI: 1.16-5.13; P = 0.018), DFS (HR: 2.61; 95% CI: 1.46-4.67; P = 0.001), and OS (HR: 2.52; 95% CI: 1.30-4.92; P = 0.007) but not DM (P = 0.57) on univariate analysis. Patients with both high CD44 and c-MET expression had a poor prognosis with a 2-year DFS of 30% compared to 70% in the rest of the cohort (P = 0.003). On multivariable analysis, after adjusting for site, T-stage, smoking history, and EGFR status, high c-MET (P = 0.039) and negative p16 status (P = 0.034) predicted for worse DFS, while high CD44 expression did not (P = 0.43). CONCLUSIONS: High CD44 expression is associated with high c-MET expression, p16-negative tumors, and EGFR-positive tumors. The combination of these markers predicts for poor prognosis in HNSCC patients treated with chemoradiation.

Cancer Stem Cell Signaling during Repopulation in Head and Neck Cancer.

The aim of the study was to investigate cancer stem signaling during the repopulation response of a head and neck squamous cell cancer (HNSCC) xenograft after radiation treatment. Xenografts were generated from low passage HNSCC cells and were treated with either sham radiation or 15 Gy in one fraction. At different time points, days 0, 3, and 10 for controls and days 4, 7, 12, and 21, after irradiation, 3 tumors per group were harvested for global gene expression, pathway analysis, and immunohistochemical evaluation. 316 genes were identified that were associated with a series of stem cell-related genes and were differentially expressed (p ≤ 0.01 and 1.5-fold) at a minimum of one time point in UT-SCC-14 xenografts after radiation. The largest network of genes that showed significant changes after irradiation was associated with CD44, NOTCH1, and MET. c-MET and ALDH1A3 staining correlated with the changes in gene expression. A clear pattern emerged that was consistent with the growth inhibition data in that genes associated with stem cell pathways were most active at day 7 and day 12 after irradiation. The MET/CD44 axis seemed to be an important component of the repopulation response.

Utilizing In-House Resources to Correct Sample Mixups in a Medium Throughput Biorepository: A Case Study.

Given the high demands on a multidisciplinary approach to sample collection, and despite the rigorous quality assurance and quality control measures designed to minimize sample misidentification in our state of the art biorepository, the potential for error is still a concern. Measures to deal with potential uncertainties are a necessary part of every successful biobanking operation. The Beaumont BioBank and associated Core Molecular Laboratory have developed procedures to address these rare incidents. Here we present a case study of occurrences in the Beaumont BioBank in which the identity of samples was uncertain and a resolution workflow was implemented to quickly remove the ambiguity. Using Core Molecular Laboratory in-house resources, including Mass Array technology and the valuable insight and experience from a multidisciplinary team, a comprehensive troubleshooting schema has been developed and applied toward resolving sample identification uncertainties. As per standard operating procedures, each step of these incidents was recorded and a final report prepared.

Characterization of clear cell renal cell carcinoma by gene expression profiling.

OBJECTIVES: Use global gene expression to characterize differences between high-grade and low-grade clear cell renal cell carcinoma (ccRCC) compared with normal and benign renal tissue. METHODS: Tissue samples were collected from patients undergoing surgical resection for ccRCC. Affymetrix gene expression arrays were used to examine global gene expression patterns in high- (n = 16) and low-grade ccRCC (n = 13) as well as in samples from normal kidney (n =14) and benign kidney disease (n = 6). Differential gene expression was determined by analysis of variance with a false discovery rate of 1% and a 2-fold cutoff. RESULTS: Comparing high-grade ccRCC with each of normal and benign kidney resulted in 1,833 and 2,208 differentially expressed genes, respectively. Of these, 930 were differentially expressed in both comparisons. In order to identify genes most related to progression of ccRCC, these differentially expressed genes were filtered to identify genes that showed a pattern of expression with a magnitude of change greater in high-grade ccRCC in the comparison to low-grade ccRCC. This resulted in the identification of genes such as TMEM45A, ceruloplasmin, and E-cadherin that were involved in cell processes of cell differentiation and response to hypoxia. Additionally changes in HIF1α and TNF signaling are highly represented by changes between high- and low-grade ccRCC. CONCLUSIONS: Gene expression differences between high-grade and low-grade ccRCC may prove to be valuable biomarkers for advanced ccRCC. In addition, altered signaling between grades of ccRCC may provide important insight into the biology driving the progression of ccRCC and potential targets for therapy.

The association of (18)F-FDG PET and glucose metabolism biomarkers GLUT1 and HK2 in p16 positive and negative head and neck squamous cell carcinomas.

OBJECTIVES: To investigate the relationship between FDG-PET maximum standard uptake value (SUVmax), p16, EGFR, GLUT1 and HK2 expression in head and neck squamous cell carcinomas (HNSCC). MATERIALS AND METHODS: Immunohistochemical staining of p16, EGFR, GLUT1 and HK2 was performed on primary tumor tissue from 97 locally advanced HNSCC patients treated with definitive chemoradiation. SUVmax along with p16, EGFR, GLUT1 and HK2 expression were analyzed for associations including local control, locoregional control and disease free survival. RESULTS: Pretreatment SUVmax in primary tumors did not differ when stratified by p16, EGFR or GLUT1 expression but SUVmax was significantly higher in HK2 expressing tumors (p=0.021) and in tumors with higher T-stage (p=0.022). GLUT1 expression was significantly higher in p16 negative (p<0.001) and EGFR positive tumors (p<0.01). HK2 expressing tumors were associated with EGFR positive tumors (p=0.022) but not with p16 or GLUT1 expression. EGFR positive, p16 negative and high GLUT1 expressing tumors were associated with worse local control and disease free survival on univariate analyses. After adjusting for patient and treatment characteristics p16 status was the only factor that predicted for outcome on multivariate analysis. CONCLUSIONS: High GLUT1 expression was associated with EGFR positive and p16 negative HNSCC tumors. GLUT1 maybe an important biomarker in HNSCC but its expression appears dependent on p16 status.

Evaluation of optimal RNA extraction method from human carotid atherosclerotic plaque.

Investigating molecular mechanisms involved in the formation of carotid atherosclerotic plaques has been challenging. Isolating high-quality RNA from plaque tissue can be difficult because of acellularity, calcification, and degradation. It is essential that the mRNA isolated from this tissue preserves and reflects the actual relative gene expression. Two common methods for RNA preservation, snap-freezing and stabilizing reagent, were compared using surgically resected human carotid atherosclerotic tissue. In addition, isolation methods were compared for integrity and quantity: column-based extraction, phenol-based extraction, and a combination of the two. We found that using a stabilizing reagent with column filtration resulted in the lowest yield and quality. Phenol-based extraction resulted in higher yields but also increased fragmentation. Snap-frozen tissue coupled with column-based extraction yielded the highest quality. The higher quality and quantity RNA obtained when processing snap-frozen tissue with column-based extraction make it possible to use difficult sample types for molecular downstream applications.

Gene Expression Characterization of HPV Positive Head and Neck Cancer to Predict Response to Chemoradiation.

Human papillomavirus (HPV) has been shown to have a causal role in the development of head and neck squamous cell carcinoma. While HPV-positive head and neck cancer is associated with a better response to treatment in the majority of patients, there is a subset who does not respond favorably to current therapy. Identification of these patients could prevent unnecessary morbidity and indicate the need for alternative therapeutic options. Tissue samples were obtained from 19 patients with HPV-positive head and neck squamous carcinoma treated with chemoradiation therapy. HPV status was confirmed by polymerase chain reaction analysis through detection of HPV16 E7 in both DNA and RNA. RNA was isolated from tissue samples and subjected to microarray gene expression analysis. In addition to identification of potential genetic biomarkers (including LCE3D, KRTDAP, HMOX1, KRT19, MDK, TSPAN1), differentially expressed genes associated with genomic stability, cell cycle, and DNA damage were detected between responders and non-responders. These results were further validated with publicly available gene expression studies. This pilot study suggests prospective biomarkers that predict response to therapy. The importance of genes involved with genomic stability is highlighted in both development and progression of head and neck squamous cell carcinoma but also recurrence. Potential development of an assay may prove beneficial to clinicians, assisting them to provide alternative care sooner thus lowering morbidity.

The challenge of sustaining a hospital-based biobank and core molecular laboratory: the Beaumont experience.

The Beaumont Health System BioBank was established in 2008, not only to leverage the potential to collect biospecimens for translational research, but to undertake such research in a seamless facility that combined high quality biobanking with state-of-the-art laboratory platforms geared towards biospecimen-based research. This report describes the challenge of sustaining a hospital-based biobank with an operating budget exceeding $1,000,000 in a financial climate that favors short-term fiscal goals rather than long-term scientific ambitions. Some of the key areas that are discussed include grants, philanthropy, accreditation, process improvement and commercialization of samples and services. We conclude that grants are not a feasible avenue, in our case, to support a biobank and that philanthropy and commercialization represent the best options for external funding to support stalling internal support, in order to sustain the operations of the BioBank.

Glucose metabolism gene expression patterns and tumor uptake of ¹8F-fluorodeoxyglucose after radiation treatment.

PURPOSE: To investigate whether radiation treatment influences the expression of glucose metabolism genes and compromises the potential use of (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) as a tool to monitor the early response of head and neck cancer xenografts to radiation therapy (RT). METHODS AND MATERIALS: Low passage head and neck squamous cancer cells (UT14) were injected to the flanks of female nu/nu mice to generate xenografts. After tumors reached a size of 500 mm(3) they were treated with either sham RT or 15 Gy in 1 fraction. At different time points, days 3, 9, and 16 for controls and days 4, 7, 12, 21, 30, and 40 after irradiation, 2 to 3 mice were assessed with dynamic FDG-PET acquisition over 2 hours. Immediately after the FDG-PET the tumors were harvested for global gene expression analysis and immunohistochemical evaluation of GLUT1 and HK2. Different analytic parameters were used to process the dynamic PET data. RESULTS: Radiation had no effect on key genes involved in FDG uptake and metabolism but did alter other genes in the HIF1α and glucose transport-related pathways. In contrast to the lack of effect on gene expression, changes in the protein expression patterns of the key genes GLUT1/SLC2A1 and HK2 were observed after radiation treatment. The changes in GLUT1 protein expression showed some correlation with dynamic FDG-PET parameters, such as the kinetic index. CONCLUSION: (18)F-fluorodeoxyglucose positron emission tomography changes after RT would seem to represent an altered metabolic state and not a direct effect on the key genes regulating FDG uptake and metabolism.

Gene expression changes during repopulation in a head and neck cancer xenograft.

BACKGROUND/PURPOSE: To investigate temporal changes in global gene expression and pathways involved in the response to irradiation during phases of growth inhibition, recovery and repopulation in a human head and neck squamous cell cancer (HNSCC) xenograft. METHODS AND MATERIALS: Low passage head and neck squamous cancer cells (UT-14-SCC) were injected into the flanks of female nu/nu mice to generate xenografts. After tumors reached a size of 500 mm3, they were treated with either sham RT or 15Gy in one fraction. At different time points, days 0, 3, and 10 for controls and days 4, 7, 12, and 21 after irradiation, the tumors were harvested for global gene expression analysis and pathway analysis. RESULTS: The tumors showed growth inhibition through days 4-7 and began the transition to regrowth around the day 12 time point. When comparing the pooled controls to each day of treatment, there were 22, 119, 125, and 25 differentially expressed genes on days 4, 7, 12, and 21 respectively using a p⩽0.01 and a 2-fold cut-off. Gene Ontology (GO), gene set enrichment analysis (GSEA) and sub-network enrichment analysis (SNEA) identified different biological processes, cell process pathways and expression targets to be active on each time point after irradiation. An important observation was that the molecular events on day 12 which represented the transition from growth inhibition to regrowth identified interferon and cytokine related genes and signaling pathways as the most prominent. CONCLUSION: The findings in this study compliment research which has identified components of interferon-related signaling pathways to be involved in radioresistance. Further work will be required to understand the significance of these genes in both radioresistance and treatment response leading to new therapeutic strategies and prognostic tools.

Gene expression differences predict treatment outcome of merkel cell carcinoma patients.

Due to the rarity of Merkel cell carcinoma (MCC), prospective clinical trials have not been practical. This study aimed to identify biomarkers with prognostic significance. While sixty-two patients were identified who were treated for MCC at our institution, only seventeen patients had adequate formalin-fixed paraffin-embedded archival tissue and followup to be included in the study. Patients were stratified into good, moderate, or poor prognosis. Laser capture microdissection was used to isolate tumor cells for subsequent RNA isolation and gene expression analysis with Affymetrix GeneChip Human Exon 1.0 ST arrays. Among the 191 genes demonstrating significant differential expression between prognostic groups, keratin 20 and neurofilament protein have previously been identified in studies of MCC and were significantly upregulated in tumors from patients with a poor prognosis. Immunohistochemistry further established that keratin 20 was overexpressed in the poor prognosis tumors. In addition, novel genes of interest such as phospholipase A2 group X, kinesin family member 3A, tumor protein D52, mucin 1, and KIT were upregulated in specimens from patients with poor prognosis. Our pilot study identified several gene expression differences which could be used in the future as prognostic biomarkers in MCC patients.

c-Met expression is a marker of poor prognosis in patients with locally advanced head and neck squamous cell carcinoma treated with chemoradiation.

PURPOSE: To examine the prognostic significance of c-Met expression in relation to p16 and epidermal growth factor receptor (EGFR) in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated with definitive concurrent chemoradiation. METHODS AND MATERIALS: Archival tissue from 107 HNSCC patients treated with chemoradiation was retrieved, and a tissue microarray was assembled. Immunohistochemical staining of c-Met, p16, and EGFR was performed. c-Met expression was correlated with p16, EGFR, clinical characteristics, and clinical endpoints including locoregional control (LRC), distant metastasis (DM), disease-free survival (DFS), and overall survival (OS). RESULTS: Fifty-one percent of patients were positive for p16, and 53% were positive for EGFR. Both p16-negative (P≤.001) and EGFR-positive (P=.019) status predicted for worse DFS. Ninety-three percent of patients stained positive for c-Met. Patients were divided into low (0, 1, or 2+ intensity) or high (3+ intensity) c-Met expression. On univariate analysis, high c-Met expression predicted for worse LRC (hazard ratio [HR] 2.27; 95% CI, 1.08-4.77; P=.031), DM (HR 4.41; 95% CI, 1.56-12.45; P=.005), DFS (HR 3.00; 95% CI, 1.68-5.38; P<.001), and OS (HR 4.35; 95% CI, 2.13-8.88; P<.001). On multivariate analysis, after adjustment for site, T stage, smoking history, and EGFR status, only high c-Met expression (P=.011) and negative p16 status (P=.003) predicted for worse DFS. High c-Met expression was predictive of worse DFS in both EGFR-positive (P=.032) and -negative (P=.008) patients. In the p16-negative patients, those with high c-Met expression had worse DFS (P=.036) than did those with low c-Met expression. c-Met expression was not associated with any outcome in the p16-positive patients. CONCLUSIONS: c-Met is expressed in the majority of locally advanced HNSCC cases, and high c-Met expression predicts for worse clinical outcomes. High c-Met expression predicted for worse DFS in p16-negative patients but not in p16-positive patients. c-Met predicted for worse outcome regardless of EGFR status.

SPIN: Development of sample-specific protein integrity numbers as an index of biospecimen quality.

It is widely accepted that variable biorepository specimen handling conditions can significantly alter outcomes of clinical research studies, suggesting the need for a metric for sample analyte protein integrity. In line with the National Cancer Institute (NCI) Best Practices, it is vital that the integrity of specimens used for biomarker studies are of the highest standard to ensure validity of the data they generate and confidence in the application of new findings to clinical management. We describe the creation of a program to discover proteins in biorepository samples that can be utilized to assess the integrity of stored specimens for protein-based biomarker studies, similar to the universally accepted quality metric for RNA, the RNA Integrity Number, or RIN. The study mimics potential variation in pre-analytical conditions which may result in proteolysis and other proteome-associated changes and employs surface-enhanced laser desorption time-of-flight mass spectrometry (SELDI-TOF MS) to assess changes in multiple proteins and peptides in a high-throughput manner. Candidate peaks from SELDI spectra of representative sample types (e.g., serum, urine, tissue extracts) which demonstrate differing but reproducible sensitivity to suboptimal processing and storage were selected and quantified in a series of specimens stored in the BioBank within the Beaumont Health System. We then assigned a relative index known here as Sample-specific Protein Integrity Number, or SPIN, which is derived from a ratio of nonstable vs. stable proteins for each sample type in the investigation. This methodology can be applied to every sample type and, once refined and established, the SPIN could be used by any biobank or laboratory using biobanked samples without specialized equipment and irrespective of the sample pre-analytical collection conditions.

Beaumont health system biobank: a multidisciplinary biorepository and translational research facility.

The Beaumont BioBank model is a multidisciplinary facility that is designed to provide access and opportunity for research-minded clinicians to become involved in research without the need for their own research infrastructure, thus increasing the research effort across the Health System. We describe a biobank model that works primarily in operating rooms for tissue collection and utilizes a generic consent process to facilitate rapid and accurate collection of biospecimens. The model combines both a biorepository that collects specimens based on clinical questions and also a translational research facility that undertakes biomarker-based research on those specimens in a seamless and efficient process. We believe that the Beaumont BioBank model would be readily applicable and reproducible in other academic healthcare systems.

SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners.

Purpose. To utilize proteomics to discover proteins associated with significant cardiac magnetic resonance imaging (MRI) changes in marathon runners. Methods. Serum from 25 runners was analyzed by surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Proteomic profiles were compared in serum samples obtained prior to the race, at the finish line and within 7 hours after race to identify dynamic proteins correlated with cardiac MRI changes. Results. 693 protein/peptide clusters were identified using two ProteinChip surface chemistries and, of these, 116 were significantly different between the three time points. We identified 7 different patterns of protein expression change within the runners and 5 prerace protein peaks, 16 finish-line protein levels, and 15 postrace proteins which were correlated with significant postrace cardiac MRI changes. Conclusions. This study has identified baseline levels of proteins which may be predictive of risk of significant cardiac damage following a marathon race. Preliminary identification of the significant proteins suggested the involvement of cytokines and other proteins involved in stress and inflammatory response.