Comparison of molecular analysis and histopathology for axillary lymph node staging in primary breast cancer: results of the B-CLOSER-I study

Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B
Laia Bernet VeguéB-CLOSER-I Investigators

Abstract

In breast cancer, the number of lymph node metastases is the strongest predictor of outcome. However, histopathology may underestimate the frequency of metastasis. Here we compare automated molecular detection of cytokeratin 19 mRNA by one-step nucleic acid amplification (OSNA) with histopathology of single tissue sections for the staging of axillary lymph nodes in patients with breast cancer. Axillary lymph nodes were collected from 55 patients with primary breast cancer and sentinel lymph node (SLN) metastases. The central 1-mm portion of each node was processed for hematoxylin-eosin staining, and the remaining tissue was analyzed by OSNA. According to OSNA, histopathology misclassified 41.8% of patients as negative for axillary node metastasis (P=0.007). Of the individual nodes considered negative by histopathology, 4.5% contained micrometastases and 2.5% contained macrometastases according to OSNA. Furthermore, 80% of micrometastases identified by histopathology were reclassified as macrometastases by OSNA. Histopathology failed to identify 81.1% of nodes shown to contain metastasis by OSNA. However, OSNA yielded no false-negative results. On the basis of OSNA results, 3 patients were reclassified to a higher pathologic sta...Continue Reading

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Citations

Aug 10, 2012·Breast Cancer : the Journal of the Japanese Breast Cancer Society·Yasuhiro Tamaki
Mar 8, 2013·European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·J-J ChenJ Wu
Oct 1, 2012·Breast Care·Marc Thill, Kristin Baumann
Nov 1, 2012·Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B·Tomo OsakoFutoshi Akiyama
Sep 13, 2020·Pathology, Research and Practice·Irene SansanoVicente Peg

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