scholarly journals Molecular Detection of Minimal Residual Cancer in Surgical Margins of Head and Neck Cancer Patients

2009 ◽  
Vol 31 (4) ◽  
pp. 317-328
Author(s):  
A. Peggy Graveland ◽  
Michiel de Maaker ◽  
Boudewijn J. M. Braakhuis ◽  
Remco de Bree ◽  
Simone E. J. Eerenstein ◽  
...  

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.

2003 ◽  
Vol 61 (4) ◽  
pp. 425-429 ◽  
Author(s):  
Federico L. Ampil ◽  
Gloria Caldito ◽  
Ghali E. Ghali ◽  
Cherie Ann O. Nathan

Oncogene ◽  
1997 ◽  
Vol 15 (5) ◽  
pp. 579-584 ◽  
Author(s):  
Cherie-Ann O Nathan ◽  
Li Liu ◽  
Benjamin D Li ◽  
Fleurette W Abreo ◽  
Indrani Nandy ◽  
...  

2012 ◽  
Vol 35 (5) ◽  
pp. 367-375 ◽  
Author(s):  
A. Peggy Graveland ◽  
Boudewijn J. M. Braakhuis ◽  
Simone E. J. Eerenstein ◽  
Remco de Bree ◽  
Elisabeth Bloemena ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2635
Author(s):  
Annouk S. Pierik ◽  
C. René Leemans ◽  
Ruud H. Brakenhoff

Surgery is one of the mainstays of head and neck cancer treatment, and aims at radical resection of the tumor with 1 cm tumor-free margins to obtain locoregional control. Surgical margins are evaluated by histopathological examination of the resection specimen. It has been long an enigma that approximately 10–30% of surgically treated head and neck cancer patients develop locoregional recurrences even though the resection margins were microscopically tumor-free. However, the origins of these recurrences have been elucidated by a variety of molecular studies. Recurrences arise either from minimal residual disease, cancer cells in the surgical margins that escape detection by the pathologist when examining the specimen, or from precancerous mucosal changes that may remain unnoticed. Head and neck tumors develop in mucosal precursor changes that are sometimes visible but mostly not, fueling research into imaging modalities such as autofluorescence, to improve visualization. Mostly unnoticed, these precancerous changes may stay behind when the tumor is resected, and subsequent malignant progression will cause a local relapse. This led to a clinical trial of autofluorescence-guided surgery, of which the results were reported in 2020. This review focuses on the most recent literature of the improved diagnosis of the resection margins of surgically treated head and neck cancer patients, the pathobiological origin of recurrent disease, and relevant biomarkers to predict local relapse. Directions for further research will be discussed, including potential options for improved and personalized treatment, based on the most recently published data.


2019 ◽  
Vol 46 (1) ◽  
pp. 10-17 ◽  
Author(s):  
K. Thomas Robbins ◽  
Asterios Triantafyllou ◽  
Carlos Suárez ◽  
Fernando López ◽  
Jennifer L. Hunt ◽  
...  

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