Plasma DNA level in predicting therapeutic efficacy in advanced nonsmall cell lung cancer

Kumar, S. ; Guleria, R. ; Singh, V. ; Bharti, A. C. ; Mohan, A. ; Das, B. C. (2010) Plasma DNA level in predicting therapeutic efficacy in advanced nonsmall cell lung cancer European Respiratory Journal, 36 (4). pp. 885-892. ISSN 0903-1936

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Official URL: http://erj.ersjournals.com/content/36/4/885.short

Related URL: http://dx.doi.org/10.1183/?09031936.00187909

Abstract

Assessment of total plasma DNA can be a promising noninvasive tool for monitoring the effect of cytotoxic therapies in order to predict therapeutic efficacy at an early stage. Cell-free plasma DNA levels were quantified before the first, second and third cycle of chemotherapy in 42 patients with advanced nonsmall cell lung cancer and correlated with response to therapy, as assessed by computed tomography following the third chemotherapy cycle. A significantly lower plasma DNA level, measured before various treatment cycles, was found in patients with remission or stable disease than in those with progression. Higher levels and insufficient decrease in plasma DNA levels during the course of chemotherapy indicated poor outcome. For predicting insufficient therapy response, a sensitivity of 26.9% was achieved at 100% specificity using plasma DNA levels before the first therapy cycle. Prediction of disease progression was achieved with a sensitivity of 35.7% at 100% specificity using plasma DNA levels before the first therapy cycle. Monitoring of plasma DNA levels during the course of chemotherapy could identify patients who are likely to exhibit an insufficient therapeutic response and disease progression at an early stage. This may help in individualising treatment, and could lead to better management of advanced-stage lung cancer.

Item Type:Article
Source:Copyright of this article belongs to European Respiratory Society.
Keywords:Biomarker; Chemotherapy; Response; Sensitivity; Specificity
ID Code:68396
Deposited On:05 Nov 2011 07:04
Last Modified:05 Nov 2011 07:04

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