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A Comparison of Serum CYFRA 21-1 and SCC Ag in the Diagnosis of Squamous Cell Lung Carcinoma

Overview of attention for article published in The Korean Journal of Internal Medicine, January 1996
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Title
A Comparison of Serum CYFRA 21-1 and SCC Ag in the Diagnosis of Squamous Cell Lung Carcinoma
Published in
The Korean Journal of Internal Medicine, January 1996
DOI 10.3904/kjim.1996.11.1.50
Pubmed ID
Authors

Young-Chul Kim, Kyung-Ok Park, In-Seon Choi, Hyeoung-Joon Kim, Sung-Chul Lim, Hee-Seung Bom

Abstract

To evaluate the usefulness of CYFRA 21-1 and SCC Ag in the diagnosis of squamous cell carcinoma (SQC) of the lung, we tested sera from 124 patients with lung cancers (squamous cell ca 72, adenoca 22, large cell ca 4, small cell ca 18 and undetermined 8) and 78 patients with inflammatory lung diseases (bronchitis 24, bronchiectasis 29, tuberculosis 19 and others 6) using immunoradiometric assay kit for cytokeratin fragment 19 (CYFRA 21-1) and radioimmunoassay kit for SCC Ag. The serum CYFRA 21-1 and SCC Ag were significantly higher in lung cancer patients compared with control subjects. However, the significant difference was restricted only to SQC. In patients with SQC, CYFRA 21-1 and SCC Ag showed significantly higher levels according to the advanced anatomic stages (stage I-IIIa vs. stage IIIb, IV, p < 0.05). There was a good correlation between CYFRA 21-1 and SCC Ag (r = 0.41, p < 0.001). Receiver operating characteristic (ROC) curves were generated from results of both tumor markers and areas under the curves (AUC) were calculated. AUC of CYFRA 21-1 (0.93) were significantly larger than that of SCC Ag (0.77) for the diagnosis of SQC (p < 0.05). Therefore, we conclude that CYFRA 21-1 is superior to SCC Ag in the diagnosis of squamous cell carcinoma of the lung.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Ph. D. Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Medicine and Dentistry 1 25%
Unknown 2 50%