RT-PCR detection of breast cancer cells in sentinel lymph modes.

A. Kataoka, Masaki Mori, N. Sadanaga, H. Ueo, K. Tsuji, Y. Rai, G. F. Barnard, K. Sugimachi

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)

Abstract

Sentinel lymph node (SLN) biopsy is being evaluated in breast cancer patients to improve detection of metastases and to guide therapy with minimal morbidity. The aim of this study was to increase the sensitivity of tumor cell detection in SLNs using superior reverse transcription polymerase chain reaction (RT-PCR) for carcinoembryonic antigen (CEA) and mammaglobin (MMG) analysis rather than current methods which fail to identify clinically relevant disease in many patients. In seventy stage I and II breast cancer patients dye-guided lymph node mapping was performed and the SLNs were divided alternately for RT-PCR or hematoxylin and eosin staining (H&E). RT-PCR and H&E diagnosis of SLNs were compared. SLNs were identified in 66/70 (94.3%) patients. Seventeen patients (26. 2%) had histological metastasis in SLNs. CEA was expressed in 25.0% of 48 patients with H&E negative SLNs, and MMG was expressed in 20. 8%. SLNs could predict axillary lymph node status with 95.4% accuracy and 6.3% false negative rate by H&E. Moreover, RT-PCR improved these to 98.5% and 2.8%, respectively. SLN diagnosis using RT-PCR is a powerful and sensitive method, which increases the accuracy of clinical staging and may provide more informed choices for appropriate therapeutic management of breast cancer patients.

Original languageEnglish
Pages (from-to)1147-1152
Number of pages6
JournalInternational journal of oncology
Volume16
Issue number6
Publication statusPublished - Jan 1 2000

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'RT-PCR detection of breast cancer cells in sentinel lymph modes.'. Together they form a unique fingerprint.

Cite this