Circulating nucleosomes predict the response to chemotherapy in patients with advanced non-small cell lung cancer

Stefan Holdenrieder, Petra Stieber, Joachim Von Pawel, Hannelore Raith, Dorothea Nagel, Knut Feldmann, Dietrich Seidel

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123 Scopus citations

Abstract

Purpose: We investigated the potential of circulating, nucleosomal DNA for the early prediction of the efficacy of chemotherapy in patients with advanced lung cancer. Experimental Design: In serum of 212 patients with newly diagnosed non-small cell lung cancer (stages III and IV) undergoing chemotherapy, nucleosomes (ELISA, Roche) were measured at days 1,3,5, and 8 of the first cycle and before each new therapeutic cycle. Additionally, carcinoembryonic antigen and cytokeratin 19 fragments (CYFRA 21-1; Elecsys, Roche) were determined before each cycle. The therapeutic success was classified by computed tomography before start of the third cycle according to the World Health Organization criteria. Results: In univariate analysis, responders (patients with remission) showed significantly (P < 0.05) lower values for the area under the curve of days 1 to 8 (AUC 1-8) of nucleosomes, the pretherapeutic baseline values of cycle 2 (BV2) and cycle 3 (BV3) of nucleosomes, and higher decreases of the baseline values from cycle 1 to 2 (BV1-2) and from cycle 1 to 3 (BV1-3) compared with nonresponders (patients with stable or progressive disease). Additionally, CYFRA 21-1 (BV1, BV2, BV3, BV1-2, BV1-3) and carcinoembryonic antigen (BV1-2) discriminated significantly between both groups. In multivariate analysis including all parameters available until end of the first therapeutic cycle, nucleosomes (AUC 1-8), CYFRA 21-1 (BV1), stage, and age were independent predictors of therapy response with nucleosomes (AUC 1-8) having the strongest impact. Conclusion: Circulating nucleosomes in combination with oncological biomarkers are valuable for the early estimation of the efficacy of chemotherapy in patients with lung cancer.

Original languageEnglish
Pages (from-to)5981-5987
Number of pages7
JournalClinical Cancer Research
Volume10
Issue number18 I
DOIs
StatePublished - 15 Sep 2004
Externally publishedYes

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