Literature DB >> 25157764

Circulating tumor microemboli diagnostics for patients with non-small-cell lung cancer.

Anders Carlsson1, Viswam S Nair, Madelyn S Luttgen, Khun Visith Keu, George Horng, Minal Vasanawala, Anand Kolatkar, Mehran Jamali, Andrei H Iagaru, Ware Kuschner, Billy W Loo, Joseph B Shrager, Kelly Bethel, Carl K Hoh, Lyudmila Bazhenova, Jorge Nieva, Peter Kuhn, Sanjiv S Gambhir.   

Abstract

INTRODUCTION: Circulating tumor microemboli (CTM) are potentially important cancer biomarkers, but using them for cancer detection in early-stage disease has been assay limited. We examined CTM test performance using a sensitive detection platform to identify stage I non-small-cell lung cancer (NSCLC) patients undergoing imaging evaluation.
METHODS: First, we prospectively enrolled patients during 18F-FDG PET-CT imaging evaluation for lung cancer that underwent routine phlebotomy where CTM and circulating tumor cells (CTCs) were identified in blood using nuclear (DAPI), cytokeratin (CK), and CD45 immune-fluorescent antibodies followed by morphologic identification. Second, CTM and CTC data were integrated with patient (age, gender, smoking, and cancer history) and imaging (tumor diameter, location in lung, and maximum standard uptake value [SUVmax]) data to develop and test multiple logistic regression models using a case-control design in a training and test cohort followed by cross-validation in the entire group.
RESULTS: We examined 104 patients with NSCLC, and the subgroup of 80 with stage I disease, and compared them to 25 patients with benign disease. Clinical and imaging data alone were moderately discriminating for all comers (Area under the Curve [AUC] = 0.77) and by stage I disease only (AUC = 0.77). However, the presence of CTM combined with clinical and imaging data was significantly discriminating for diagnostic accuracy in all NSCLC patients (AUC = 0.88, p value = 0.001) and for stage I patients alone (AUC = 0.87, p value = 0.002).
CONCLUSION: CTM may add utility for lung cancer diagnosis during imaging evaluation using a sensitive detection platform.

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Year:  2014        PMID: 25157764      PMCID: PMC4145608          DOI: 10.1097/JTO.0000000000000235

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  34 in total

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