Cerebrospinal fluid is routinely collected for the diagnosis and monitoring of patients with neurological malignancies. However, little is known as to how its constituents may change in a patient when presented with a malignant glioma. Here, we used a targeted mass-spectrometry based metabolomics platform using selected reaction monitoring with positive/negative switching and profiled the relative levels of over 124 polar metabolites present in patient cerebrospinal fluid. We analyzed the metabolic profiles from 10 patients presenting malignant gliomas and seven control patients that did not present malignancy to test whether a small sample size could provide statistically significant signatures. We carried out multiple unbiased forms of classification using a series of unsupervised techniques and identified metabolic signatures that distinguish malignant glioma patients from the control patients. One subtype identified contained metabolites enriched in citric acid cycle components. Newly diagnosed patients segregated into a different subtype and exhibited low levels of metabolites involved in tryptophan metabolism, which may indicate the absence of an inflammatory signature. Together our results provide the first global assessment of the polar metabolic composition in cerebrospinal fluid that accompanies malignancy, and demonstrate that data obtained from high throughput mass spectrometry technology may have suitable predictive capabilities for the

Lung cancer is the leading cause of cancer death worldwide. The overall 5-year survival after therapy is about 16% and there is a clear need for better treatment options, such as therapies targeting specific molecular structures. G-protein coupled receptors (GPCRs), as the largest family of cell surface receptors, represent an important group of potential targets for diagnostics and therapy. We therefore used laser capture microdissection and GPCR-focused Affymetrix microarrays to examine the expression of 929 GPCR transcripts in tissue samples of 10 patients with squamous cell carcinoma and 7 with adenocarcinoma in order to identify novel targets in non-small cell lung carcinoma (NSCLC). The relative gene expression levels were calculated in tumour samples compared to samples of the neighbouring alveolar tissue in every patient. Based on this unique study design, we identified 5 significantly overexpressed GPCRs in squamous cell carcinoma, in the following decreasing order of expression: GPR87 > CMKOR1 > FZD10 > LGR4 > P2RY11. All are non-olfactory and GRAFS (glutamate, rhodopsin, adhesion, frizzled/taste2, secretin family) classified. GPR87, LGR4 and CMKOR1 are orphan receptors. GPR87 stands out as a candidate for further target validation due to its marked overexpression and correlation on a mutation-based level to squamous cell carcinoma.

There is a rising incidence of brain metastases from breast cancer. Having an improved means of detecting and monitoring such brain metastases would be valuable. Using samples stored in our Cerebrospinal Fluid (CSF) Bank, we identified 176 samples from 71 patients with brain metastases from breast cancer. The CSF VEGF levels were measured using enzyme-linked immunosorbent assay and normalized to phosphate buffered saline. The highest CSF VEGF ratios from individual patients were correlated with patient survival. The median CSF VEGF ratio was 1.043, with a range of 0.575 to 22.060. At the time of analysis, 51 patients were deceased while 30 were alive, with a median survival of 4 months. The median survival of patients with CSF VEGF ratio ≤ 1.000 was 7 months (range 1 to 31 months) versus 2.5 months (range 0.5 to 60 months) for those with CSF VEGF > 1.000. Furthermore, increasing CSF VEGF levels also appear to correlate with increasing number of brain metastases detected on magnetic resonance imaging. We conclude that VEGF is a potential biomarker in the CSF for brain metastases from breast cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1456.

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