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Objective. To evaluate the treatment outcome for sino-nasal carcinomas in Denmark from 1995-2004 and compare the results to the previous Danish survey covering 1982-1991. Design. Retrospective follow-up. Materials and methods. In the fi ve Danish head and neck oncology centres, charts of all consecutive patients with sino-nasal carcinomas were reviewed and data extracted to a common database. Altogether 242 patients from the period 1995-2004 were identifi ed. Of these 162 (67%) were male and 80 (33%) female. Histologies included squamous cell carcinoma (55%), adenocarcinoma (28.5%), adenoid-cystic carcinoma (5.0%), undifferentiated carcinoma (4.5%), transitiocellular carcinoma (1.7%), mucoepidermoid carcinoma (0.8%), neuroendocrine carcinoma (2.5%), small cell carcinomas (1.2%) and carcinomas not otherwise specifi ed (0.8%). Treatments included radiotherapy alone 79 (33%), surgery alone 29 (12%), combined surgery and radiotherapy 96 (40%), palliative/no treatment 38 (16%). A total of 204 (86%) patients were treated with curative intent. Results. Of the 204 patients treated with curative intent, 94 (46%) relapsed. Most failures were in T-site (63, 30%). N-site failures were 10 (5%) and M-site failures six (3%). Failure occurring in TϩN-site, TϩM-site, NϩM-site and TϩNϩM-site were seven (3%), two (1%), one (0.5%) and fi ve (3%) respectively. The 5-year actuarial local, nodal and loco-regional control rates were 55Ϯ4%, 86Ϯ3%, 49Ϯ4%, respectively. The overall 5-year actuarial survival rate for the entire cohort was 47Ϯ3%, and the corresponding cancer-specifi c 5-year actuarial survival rate was 57Ϯ3%. Female gender, nasal cavity tumour, adenocarcinoma and low clinical stage were signifi cant positive prognostic factors in univariate analysis. A Cox multivariate analysis showed that only tumour site and clinical stage were independent signifi cant prognostic factors. Conclusion. The current series has confi rmed stage and tumour site as independent prognostic factors. Compared to the previous Danish survey covering the period 1982-1991, the overall survival and cancer-specifi c survival rates have improved signifi cantly.

Background Prostate cancer tissues are inherently heterogeneous, which presents a challenge for metabolic profiling using traditional bulk analysis methods that produce an averaged profile. The aim of this study was therefore to spatially detect metabolites and lipids on prostate tissue sections by using mass spectrometry imaging (MSI), a method that facilitates molecular imaging of heterogeneous tissue sections, which can subsequently be related to the histology of the same section. Methods Here, we simultaneously obtained metabolic and lipidomic profiles in different prostate tissue types using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MSI. Both positive and negative ion mode were applied to analyze consecutive sections from 45 fresh-frozen human prostate tissue samples (N = 15 patients). Mass identification was performed with tandem MS. Results Pairwise comparisons of cancer, non-cancer epithelium, and stroma revealed several metabolic differences between the tissue types. We detected increased levels of metabolites crucial for lipid metabolism in cancer, including metabolites involved in the carnitine shuttle, which facilitates fatty acid oxidation, and building blocks needed for lipid synthesis. Metabolites associated with healthy prostate functions, including citrate, aspartate, zinc, and spermine had lower levels in cancer compared to non-cancer epithelium. Profiling of stroma revealed higher levels of important energy metabolites, such as ADP, ATP, and glucose, and higher levels of the antioxidant taurine compared to cancer and non-cancer epithelium. Conclusions This study shows that specific tissue compartments within prostate cancer samples have distinct metabolic profiles and pinpoint the advantage of methodology providing spatial information compared to bulk analysis. We identified several differential metabolites and lipids that have potential to be developed further as diagnostic and prognostic biomarkers for prostate cancer. Spatial and rapid detection of cancer-related analytes showcases MALDI-TOF MSI as a promising and innovative diagnostic tool for the clinic.

Reactive stroma is a tissue feature commonly observed in the tumor microenvironment of prostate cancer and has previously been associated with more aggressive tumors. The aim of this study was to detect differentially expressed genes and metabolites according to reactive stroma content measured on the exact same prostate cancer tissue sample. Reactive stroma was evaluated using histopathology from 108 fresh frozen prostate cancer samples gathered from 43 patients after prostatectomy (Biobank1). A subset of the samples was analyzed both for metabolic (n = 85) and transcriptomic alterations (n = 78) using high resolution magic angle spinning magnetic resonance spectroscopy (HR-MAS MRS) and RNA microarray, respectively. Recurrence-free survival was assessed in patients with clinical follow-up of minimum five years (n = 38) using biochemical recurrence (BCR) as endpoint. Multivariate metabolomics and gene expression analysis compared low (≤15%) against high reactive stroma content (≥16%). High reactive stroma content was associated with BCR in prostate cancer patients even when accounting for the influence of Grade Group (Cox hazard proportional analysis, p = 0.013). In samples with high reactive stroma content, metabolites and genes linked to immune functions and extracellular matrix (ECM) remodeling were significantly upregulated. Future validation of these findings is important to reveal novel biomarkers and drug targets connected to immune mechanisms and ECM in prostate cancer. The fact that high reactive stroma grading is connected to BCR adds further support for the clinical integration of this histopathological evaluation.

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