A. Peggy Graveland, Michiel de Maaker, Boudewijn J. M. Braakhuis, Remco de Bree, Simone E. J. Eerenstein, Elisabeth Bloemena, C. René Leemans, Ruud H. Brakenhoff, "Molecular Detection of Minimal Residual Cancer in Surgical Margins of Head and Neck Cancer Patients", Analytical Cellular Pathology, vol. 31, Article ID 602876, 12 pages, 2009. https://doi.org/10.3233/CLO-2009-0474
Molecular Detection of Minimal Residual Cancer in Surgical Margins of Head and Neck Cancer Patients
A great disappointment in head and neck cancer surgery is that 10–30% of head and neck squamous cell carcinoma (HNSCC) patients develop local recurrences despite histopathologically tumor-free surgical margins. These recurrences result from either minimal residual cancer (MRC) or preneoplastic lesions that remain behind after tumor resection. Distinguishing MRC from preneoplasic lesions is important to tailor postoperative radiotherapy more adequately. Here we investigated the suitability of quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) using human Ly-6D (hLy-6D) transcripts as molecular marker to detect MRC in surgical margins.Submucosal samples of deep surgical margins were collected from 18 non-cancer control patients and 67 HNSCC patients of whom eight had tumor-positive surgical margins. The samples were analyzed with hLy-6D qRT-PCR, and the data were analyzed in relation to the clinicohistological parameters.A significant difference was shown between the group of patients with histopathological tumor-positive surgical margins and the non-cancer control group (p < 0.001), and the group of patients with histopathological tumor-free surgical margins (p = 0.001).This study shows a novel approach for molecular analysis of deep surgical margins in head and neck cancer surgery. The preliminary data of this approach for detection of MRC in deep margins of HNSCC patients are promising.
Copyright © 2009 Hindawi Publishing Corporation and the authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.