The utility of rapid diagnosis of lymph node metastasis in gastric cancer using a multiplex real-time reverse transcription polymerase chain reaction assay

Shigehiro Yanagita, Shoji Natsugoe, Yoshikazu Uenosono, Takaaki Arigami, Yawara Funasako, Munetugu Hirata, Tsutomu Kozono, Katsuhiko Ehi, Hideo Arima, George Green, Yixin Wang, Takashi Aikou

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Background: Lymph node metastasis is the most important prognostic factor in gastric cancer. However, diagnosis by hematoxylin and eosin staining or immunohistochemistry is not always sufficient for the detection of cancer cells because only representative number of slices are examined. Cancer cells may, therefore, be missed by traditional histological methods. Recently, reverse transcription polymerase chain reaction (RT-PCR) methods have been introduced for improved detection of cancer cells. The purpose of this study was to evaluate the utility of a prototype RT-PCR assay run on the Cepheid SmartCycler® system compared to conventional RT-PCR using the LightCycler® system. Patients and Methods: Forty-seven overt metastatic lymph nodes from 8 patients with advanced gastric cancer and 22 benign lymph nodes from patients without malignant tumor who received surgery were obtained with informed consent. We examined the lymph nodes by RT-PCR, using markers for CEA and CK19 and the LightCycler and SmartCycler systems. Results: In the singlex assay, the sensitivity of CEA and CK19 was 91.5 and 70.2% in the LightCycler system, and 97.9 and 95.7% in the SmartCycler system, respectively. In the multiplex assay, the sensitivity was 91.5% in the LightCycler system and 100% in the SmartCycler system, respectively. Conclusion: In this study, rapid diagnosis using RT-PCR by the SmartCycler system had higher accuracy for detecting lymph node metastasis than the conventional LightCycler system. The SmartCycler system is more effective for the diagnosis of lymph node metastasis in gastric cancer when run with the prototype assay.

Original languageEnglish
Pages (from-to)205-211
Number of pages7
JournalOncology
Volume77
Issue number3-4
DOIs
Publication statusPublished - 01-09-2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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