Literature DB >> 23265708

Sentinel node tumour burden quantified based on cytokeratin 19 mRNA copy number predicts non-sentinel node metastases in breast cancer: molecular whole-node analysis of all removed nodes.

Tomo Osako1, Takuji Iwase, Kiyomi Kimura, Rie Horii, Futoshi Akiyama.   

Abstract

OBJECTIVE: The one-step nucleic acid amplification (OSNA) assay can assess an entire lymph node and detect clinically relevant metastases quantified based on cytokeratin 19 (CK19) mRNA copy number. The OSNA assay of all sentinel lymph nodes (SNs) and non-sentinel nodes (non-SNs) allows for the accurate measurement of tumour burden in either situation. We aim to reveal the usefulness of the OSNA assay regarding the prediction of non-SN metastasis.
METHODS: The subjects consisted of 185 breast cancer patients who underwent axillary dissection after a metastatic SN biopsy and whose SNs and non-SNs were examined using the OSNA whole-node assay between 2009 and 2011. The non-SN tumour burden was classified as macrometastasis (CK19 mRNA ≥ 5000 copies/μl) or micrometastasis (250-5000 copies/μl). The relationship between SN and non-SN tumour burdens and predictors of non-SN metastasis were investigated.
RESULTS: Among these 185 patients, 38 patients (20.5%) had macrometastasis and 58 (31.4%) had micrometastasis only in the non-SNs. Non-SN macrometastasis rates increased in direct proportion to the SN copy number: approximately 5% in patients with SNs with 250-500 copies; 20%, 500-5000 copies and 30%, ≥ 5000 copies. However, non-SN micrometastasis rates were approximately 30% regardless of the SN copy number. In multivariate analyses, the mean SN copy number, number of macrometastatic SN and lymphovascular invasion were significant for identifying non-SN macrometastases.
CONCLUSIONS: The SN tumour burden quantified using the OSNA assay predicts non-SN metastases. A novel mathematical model to predict the non-SN tumour burden can be generated using the results of the OSNA assay.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23265708     DOI: 10.1016/j.ejca.2012.11.022

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

Review 1.  Clinical significance of breast cancer micrometastasis in the sentinel lymph node.

Authors:  Kenzo Shimazu; Shinzaburo Noguchi
Journal:  Surg Today       Date:  2015-04-17       Impact factor: 2.549

2.  One-step nucleic acid amplification assay for intraoperative prediction of advanced axillary lymph node metastases in breast cancer patients with sentinel lymph node metastasis.

Authors:  Michiyo Kubota; Yoshifumi Komoike; Mika Hamada; Wataru Shinzaki; Tatsuya Azumi; Yukihiko Hashimoto; Shigeru Imoto; Yoshifumi Takeyama; Kiyotaka Okuno
Journal:  Mol Clin Oncol       Date:  2015-12-07

3.  Intraoperative Molecular Analysis of Total Tumor Load in Sentinel Lymph Node: A Predictor of Axillary Status in Early Breast Cancer.

Authors:  Suphawat Laohawiriyakamol; Somrit Mahattanobon; Puttisak Puttawibul
Journal:  Asian Pac J Cancer Prev       Date:  2022-01-01

4.  Intraoperative prediction of the two axillary lymph node macrometastases threshold in patients with breast cancer using a one-step nucleic acid cytokeratin-19 amplification assay.

Authors:  Victoria Fung; Stan Kohlhardt; Patricia Vergani; Gregory J Zardin; Norman R Williams
Journal:  Mol Clin Oncol       Date:  2017-09-01

5.  A new molecular-based lymph node staging classification determines the prognosis of breast cancer patients.

Authors:  Tomo Osako; Takuji Iwase; Masaru Ushijima; Rika Yonekura; Shinji Ohno; Futoshi Akiyama
Journal:  Br J Cancer       Date:  2017-09-14       Impact factor: 7.640

6.  Prognostic Significance of Lymph Node Examination by the OSNA Method in Lung Cancer Patients-Comparison with the Standard Histopathological Procedure.

Authors:  Josef Vodicka; Martin Pesta; Vlastimil Kulda; Katerina Houfkova; Bohuslava Vankova; Jakub Sebek; Martin Skala; Jakub Fichtl; Kristyna Prochazkova; Ondrej Topolcan
Journal:  Cells       Date:  2020-12-04       Impact factor: 6.600

  6 in total

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