Zagradišnik Boris, Krgović Danijela, Herodež Špela Stangler, Zagorac Andreja, Ćižmarević Bogdan, Vokač Nadja Kokalj
1Laboratory of Medical Genetics, University Medical Centre Maribor, Ljubljanska 5, 2000 Maribor, Slovenia.
2Department of Otorhinolaryngology, University Medical Centre Maribor, Ljubljanska 5, 2000 Maribor, Slovenia.
Mol Cytogenet. 2018 Jan 15;11:5. doi: 10.1186/s13039-018-0354-8. eCollection 2018.
Copy number variations (CNSs) of large genomic regions are an important mechanism implicated in the development of head and neck cancer, however, for most changes their exact role is not well understood. The aim of this study was to find possible associations between gains/losses of genomic regions and clinically distinct subgroups of head and neck cancer patients.
Array comparative genomic hybridization (aCGH) analysis was performed on DNA samples in 64 patients with cancer in oral cavity, oropharynx or hypopharynx. Overlapping genomic regions created from gains and losses were used for statistical analysis. Following regions were overrepresented: in tumors with stage I or II a gain of 2.98 Mb on 6p21.2-p11 and a gain of 7.4 Mb on 8q11.1-q11.23; in tumors with grade I histology a gain of 1.1 Mb on 8q24.13, a loss of a large part of p arm of chromosome 3, a loss of a 1.24 Mb on 6q14.3, and a loss of terminal 32 Mb region of 8p23.3; in cases with affected lymph nodes a gain of 0.75 Mb on 3q24, and a gain of 0.9 Mb on 3q26.32-q26.33; in cases with unaffected lymph nodes a gain of 1.1 Mb on 8q23.3, in patients not treated with surgery a gain of 12.2 Mb on 7q21.3-q22.3 and a gain of 0.33 Mb on 20q11.22.
Our study identified several genomic regions of interest which appear to be associated with various clinically distinct subgroups of head and neck cancer. They represent a potentially important source of biomarkers useful for the clinical management of head and neck cancer. In particular, the and genes could be singled out to predict the lymph node involvement.
大基因组区域的拷贝数变异(CNVs)是头颈部癌发生过程中的一种重要机制,然而,对于大多数变化,其确切作用尚不清楚。本研究的目的是寻找基因组区域的增减与头颈部癌患者临床不同亚组之间的可能关联。
对64例口腔、口咽或下咽癌患者的DNA样本进行了阵列比较基因组杂交(aCGH)分析。由增减产生的重叠基因组区域用于统计分析。以下区域出现频率过高:在I期或II期肿瘤中,6p21.2 - p11区域有2.98 Mb的增益,8q11.1 - q11.23区域有7.4 Mb的增益;在I级组织学肿瘤中,8q24.13区域有1.1 Mb的增益,3号染色体p臂大部分缺失,6q14.3区域有1.24 Mb的缺失,8p23.3末端32 Mb区域缺失;在有淋巴结受累的病例中,3q24区域有0.75 Mb的增益,3q26.32 - q26.33区域有0.9 Mb的增益;在无淋巴结受累的病例中,8q23.3区域有1.1 Mb的增益,未接受手术治疗的患者中,7q21.3 - q22.3区域有12.2 Mb的增益,20q11.22区域有0.33 Mb的增益。
我们的研究确定了几个感兴趣的基因组区域,这些区域似乎与头颈部癌的各种临床不同亚组相关。它们代表了对头颈部癌临床管理有用的潜在重要生物标志物来源。特别是,[具体基因]基因可被挑选出来预测淋巴结受累情况。