Abstract

BackgroundThe use of one-step nucleic acid amplification (OSNA) allows for lymph node (LN) metastasis to be detected rapidly and accurately. We conducted a prospective single-centre clinical trial to evaluate OSNA assay in detecting LN metastasis of lung cancer.Patients and methodsA total of 705 LNs from 160 patients with clinical stage IA to IVA lung cancer were included in this study. The LNs were divided and submitted to routine histological diagnosis and OSNA assay and the results were compared. We also examined keratin 19 expression of different histological types lung primary tumours.ResultsWhen the cut-off value was set to 250 copies/µl, the concordance rate between the two methods was 96.17% and the sensitivity 97.14%. Discordant results were observed in 27 LNs of 21 patients. Most of these discordant results were molecular micrometastasis expressing a very low number of copies with negative histology. Most thoracic tumours were positive for keratin 19.ConclusionsOur data show that the OSNA assay might be a useful and sensitive method to diagnose LN metastasis in lung cancer and could be applied to intraoperative decision-making in personalised lung cancer surgery based on LN status and a more accurate staging of patients.

Highlights

  • The use of one-step nucleic acid amplification (OSNA) allows for lymph node (LN) metastasis to be detected rapidly and accurately

  • Accepting only macro-macrometastasis as positive, as established in breast cancer, our results showed a 99.29% concordance rate with a kappa statistic of 0.894

  • The sensitivity of the OSNA assay as compared to the pathological examination was 95.65% and specificity was 99.41%

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Summary

Introduction

The use of one-step nucleic acid amplification (OSNA) allows for lymph node (LN) metastasis to be detected rapidly and accurately. We conducted a prospective single-centre clinical trial to evaluate OSNA assay in detecting LN metastasis of lung cancer. Lung cancer is one of the most frequent human cancers and the leading cause of cancer deaths in the world. In the clinical management of the disease, identifying the histological classification by stages is essential for an accurate therapeutic approach for the patients [1, 2]

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