Literature DB >> 11956631

Cut-off levels of NSE to differentiate SCLC from NSCLC.

Hiroaki Satoh1, Hiroichi Ishikawa, Koichi Kurishima, Yuko T Yamashita, Morio Ohtsuka, Kiyohisa Sekizawa.   

Abstract

Neuron-specific enolase (NSE) is a specific tumor marker in small cell lung cancer (SCLC) patients, however, it has been reported that serum NSE levels are elevated in some patients with non-small cell lung cancer (NSCLC). To determine the most suitable cut-off level to distinguish between these two types of cancers, NSE levels were measured on serum samples of 417 patients with lung cancer without clinical information. Receiver operating characteristic (ROC) curve showed 14.5 ng/ml as a cut-off level and the 95 percentile serum NSE level in NSCLC was 20.5 ng/ml. None of the NSCLC patients had serum NSE levels more than 70 ng/ml. The measurement of serum NSE provides a discrimination between NSCLC and SCLC. If an NSCLC patient presents with a NSE level >20.5 ng/ml, pathological features must be examined with regard to the neuroendocrine differentiation.

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Year:  2002        PMID: 11956631

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  8 in total

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Review 2.  Mechanisms of storage and exocytosis in neuroendocrine tumors.

Authors:  Manfred Gratzl; Martin Breckner; Christian Prinz
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Review 4.  History, molecular features, and clinical importance of conventional serum biomarkers in lung cancer.

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6.  A re-evaluation of squamous cell carcinoma antigen (SCC) as a serum marker for non-small cell lung cancer.

Authors:  Katsunori Kagohashi; Hiroaki Satoh; Hiroichi Ishikawa; Morio Ohtsuka; Kiyohisa Sekizawa
Journal:  Med Oncol       Date:  2007-10-30       Impact factor: 3.064

7.  Circulating tumor cell levels and carcinoembryonic antigen: An improved diagnostic method for lung adenocarcinoma.

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Journal:  Thorac Cancer       Date:  2018-09-04       Impact factor: 3.500

8.  Clinical evaluation and cost-effectiveness analysis of serum tumor markers in lung cancer.

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Journal:  Biomed Res Int       Date:  2013-09-19       Impact factor: 3.411

  8 in total

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