A serum and platelet-rich plasma serotonin assay using liquid chromatography tandem mass spectrometry for monitoring of neuroendocrine tumor patients.

BACKGROUND: Serotonin is used for the diagnosis and follow-up of neuroendocrine tumors (NET). We describe the analytical and clinical validation of a liquid chromatography tandem mass spectrometry (LC-MS/MS) based serotonin assay for serum and platelet-rich plasma (PRP). METHODS: An LC-MS/MS based method for serum and PRP serotonin was validated by determination of assay imprecision, carry-over, linearity, interference, recovery, sample stability and a matrix/method comparison of serum and PRP serotonin was made with whole blood serotonin. Furthermore, upper limits of normal were determined and serotonin concentrations of healthy individuals, 14 NET patients without evidence of disease and 51 NET patients with evidence of disease were compared. RESULTS: For serum and PRP fractions, total assay imprecision was <5%. All correlation coefficients were 0.98 and the serum and platelet-rich serotonin upper limit of normal were 5.5nmol/109 platelet and 5.1nmol/109 platelet, respectively. NET patients with confirmed evidence of disease had significantly higher serum and PRP serotonin levels when compared to NET patients without evidence of disease and healthy volunteers. CONCLUSIONS: LC-MS/MS based serum and PRP serotonin assays were developed with suitable analytical characteristics. Furthermore, serum and PRP serotonin was found to be useful for monitoring NET patients.

Choice of tumour markers in patients with neuroendocrine tumours is dependent on the histological grade. A marker study of Chromogranin A, Neuron specific enolase, Progastrin-releasing peptide and cytokeratin fragments.

BACKGROUND: Chromogranin A (CgA) is the most important tumour marker for well-differentiated neuroendocrine tumours (NET) and neuron specific enolase (NSE) for poorly differentiated neuroendocrine carcinoma (NEC). This study investigated whether the markers progastrin-releasing peptide (proGRP) and cytokeratin fragments (CKfr) CK8, CK18 and CK19 (MonoTotal) can be of additional value to the histological classification and help predict survival in these patients. METHODS: CgA, NSE, proGRP and CKfr were measured in 242 patients with grade 1 NET (G1NET), 38 with grade 2 NET (G2NET), 42 with large cell NEC (LCNEC), 251 with small cell NEC (SCNEC) and in 282 healthy persons. Results were compared with tumour characteristics and survival by means of Receiver Operating Characteristics (ROC) curves and Cox regression analyses. RESULTS: The largest area under the ROC curve was for CgA (0.86, 0.91 and 0.90, respectively) when comparing patients with G1NET, G2NET and LCNEC with healthy persons. ProGRP showed the highest sensitivity (73%) at 95% specificity in patients with SCNEC. In a multivariate survival analysis, only CKfr was associated with survival (P<0.0001) for patients with well-differentiated NET (G1NET and G2NET). For patients with poorly differentiated NEC, both CKfr and NSE were associated with survival (P<0.0001 and P=0.003, respectively). CONCLUSION: Within all histological groups a combination of tumour markers proved to be more informative as diagnostic and prognostic marker than each marker alone. In patients with well-differentiated NET and LCNEC we recommend the use of CgA and CKfr, whilst in patients with SCNEC, proGRP and CKfr are preferred.

Ligands of epidermal growth factor receptor and the insulin-like growth factor family as serum biomarkers for response to epidermal growth factor receptor inhibitors in patients with advanced non-small cell lung cancer.

INTRODUCTION: The selection of patients with non-small cell lung cancer (NSCLC) for epidermal growth factor receptor (EGFR) inhibitor (EGFR-tyrosine kinase inhibitors [TKIs]) therapy is suboptimal as tumor tissue is often unavailable. Ligands of EGFR, transforming growth factor-alpha (TGFa) and amphiregulin (ARG), and the insulin-like growth factor (IGF) family have been associated with resistance to EGFR-TKIs. The aim of our study was to explore whether concentrations of these factors measured in serum were predictive of response to EGFR-TKIs. METHODS: We assessed serum levels of marker candidates using enzyme-linked immunosorbent (TGFa and ARG) and chemiluminescent (IGF1 and IGF-binding protein-3) assays in 61 patients with advanced NSCLC treated with EGFR-TKIs and 63 matched advanced NSCLC control patients without EGFR-TKIs treatment. We dichotomized marker levels at the 20th, 50th, or 80th percentile and evaluated whether the effect of EGFR-TKIs treatment on disease-specific survival (DSS) differed by marker level based on multivariate proportional hazards regression with an interaction term. RESULTS: The effect of EGFR-TKIs treatment on DSS showed a significant difference by TGFa and ARG (interaction p = 0.046 and p = 0.004, respectively). Low concentrations of TGFa and high concentrations of ARG were associated with a better DSS in EGFR-TKIs patients compared with control patients. Patients with high concentrations of IGF-binding protein-3 had significantly longer DSS, independent of treatment (hazard ratio: 0.60 per 1 mg/liter, 95% confidence interval: 0.46-0.79). CONCLUSION: Our results suggest that concentrations of TGFa and ARG measured in serum are predictive of EGFR-TKI response. The combination of these two biomarkers could be of value in the process of selecting patients for treatment with EGFR-TKIs.