Lung Cancer
Volume 69, Issue 3 , Pages 284-288, September 2010

Usefulness of melanoma antigen (MAGE) gene analysis in tissue samples from percutaneous needle aspiration biopsy of suspected lung cancer lesions

  • Hana Kim

      Affiliations

    • Department of Radiology, Research Institute of Radiological Science, Yonsei University Health System, Republic of Korea
  • ,
  • Sang Jin Kim

      Affiliations

    • Department of Radiology, Research Institute of Radiological Science, Yonsei University Health System, Republic of Korea
  • ,
  • Sun-Hwa Lee

      Affiliations

    • Department of Laboratory Medicine, Neodin Medical Institute, Republic of Korea
  • ,
  • Hye Soon Seong

      Affiliations

    • Department of Laboratory Medicine, Neodin Medical Institute, Republic of Korea
  • ,
  • Kyung-Ok Lee

      Affiliations

    • Department of Laboratory Medicine, Neodin Medical Institute, Republic of Korea
  • ,
  • Chang-Ho Jeon

      Affiliations

    • Department of Laboratory Medicine, School of Medicine, Catholic University of Daegu, Republic of Korea
  • ,
  • Yoo Jin Hong

      Affiliations

    • Department of Radiology, Research Institute of Radiological Science, Yonsei University Health System, Republic of Korea
  • ,
  • Sang Min Lee

      Affiliations

    • Department of Radiology, Research Institute of Radiological Science, Yonsei University Health System, Republic of Korea
  • ,
  • Tae Hoon Kim

      Affiliations

    • Department of Radiology, Research Institute of Radiological Science, Yonsei University Health System, Republic of Korea
    • Corresponding Author InformationCorresponding author at: Department of Radiology, Gangnam Severance Hospital, 146-92 Dogok-Dong, Kangnam-Gu, Seoul 135-720, Republic of Korea. Tel.: +82 2 2019 3517; fax: +82 2 3462 5472.

Received 5 October 2009; received in revised form 23 November 2009; accepted 5 December 2009. published online 11 January 2010.

Abstract 

Background

As mortality from lung cancer is still very high, early detection prior to metastasis is important in clinical settings. We prospectively evaluated the clinical usefulness of a reverse transcription-nested polymerase chain reaction (RT-nested PCR) using melanoma antigen (MAGE) A1-6 genes with tissue samples obtained from the percutaneous needle aspiration (PCNA) biopsies used in the diagnosis of lung cancer.

Methods

We enrolled 53 patients with suspected lung cancer based on CT scan (M:F, 39:14; mean age 61 years). A PCNA biopsy was performed twice and lung cancer was diagnosed by a pathological examination. The MAGE genes were analyzed using RT-nested PCR from tissue samples obtained from the PCNA biopsy of the lesion. We compared the results from the RT-nested PCR and the pathologic diagnosis. We also analyzed the sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV).

Results

Of the 53 patients, 39 were diagnosed with lung cancer. Six patients had tuberculosis and 8 were confirmed with chronic inflammation or benign lesion. Based on the RT-nested PCR examination, 41 of 53 patients were positive for the MAGE gene: 34 of 39 patients had lung cancer; 5 of 6 patients had tuberculosis; and 2 of 8 patients had chronic inflammation or benign lesion. The sensitivity, specificity, accuracy, PPV and NPV were 83%, 58%, 77%, 87% and 55%, respectively.

Conclusion

MAGE gene analysis by RT-nested PCR may be a useful method for the diagnosis of lung cancer, but it is still limited in patients with tuberculosis.

Keywords: Melanoma antigen (MAGE) genes, Fine needle aspiration biopsy, Reverse transcription-nested polymerase chain reaction (RT-nested PCR), Lung cancer, Sensitivity and specificity, Detection method

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0169-5002(09)00639-4

doi:10.1016/j.lungcan.2009.12.003

Lung Cancer
Volume 69, Issue 3 , Pages 284-288, September 2010