Wangsa Darawalee, Chowdhury Salim Akhter, Ryott Michael, Gertz E Michael, Elmberger Göran, Auer Gert, Åvall Lundqvist Elisabeth, Küffer Stefan, Ströbel Philipp, Schäffer Alejandro A, Schwartz Russell, Munck-Wikland Eva, Ried Thomas, Heselmeyer-Haddad Kerstin
Genetics Branch, Center For Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Int J Cancer. 2016 Jan 1;138(1):98-109. doi: 10.1002/ijc.29691. Epub 2015 Aug 28.
Oral tongue squamous cell carcinoma (OTSCC) is associated with poor prognosis. To improve prognostication, we analyzed four gene probes (TERC, CCND1, EGFR and TP53) and the centromere probe CEP4 as a marker of chromosomal instability, using fluorescence in situ hybridization (FISH) in single cells from the tumors of sixty-five OTSCC patients (Stage I, n = 15; Stage II, n = 30; Stage III, n = 7; Stage IV, n = 13). Unsupervised hierarchical clustering of the FISH data distinguished three clusters related to smoking status. Copy number increases of all five markers were found to be correlated to non-smoking habits, while smokers in this cohort had low-level copy number gains. Using the phylogenetic modeling software FISHtrees, we constructed models of tumor progression for each patient based on the four gene probes. Then, we derived test statistics on the models that are significant predictors of disease-free and overall survival, independent of tumor stage and smoking status in multivariate analysis. The patients whose tumors were modeled as progressing by a more diverse distribution of copy number changes across the four genes have poorer prognosis. This is consistent with the view that multiple genetic pathways need to become deregulated in order for cancer to progress.
口腔舌鳞状细胞癌(OTSCC)预后较差。为了改善预后评估,我们使用荧光原位杂交(FISH)技术,对65例OTSCC患者(I期,n = 15;II期,n = 30;III期,n = 7;IV期,n = 13)肿瘤的单细胞进行分析,检测了四种基因探针(TERC、CCND1、EGFR和TP53)以及作为染色体不稳定性标志物的着丝粒探针CEP4。FISH数据的无监督层次聚类区分出与吸烟状况相关的三个聚类。发现所有五个标志物的拷贝数增加都与非吸烟习惯相关,而该队列中的吸烟者拷贝数增加水平较低。使用系统发育建模软件FISHtrees,我们基于四种基因探针为每位患者构建了肿瘤进展模型。然后,我们在多变量分析中得出了对无病生存期和总生存期具有显著预测作用的模型检验统计量,该统计量独立于肿瘤分期和吸烟状况。其肿瘤通过四个基因上更具多样性的拷贝数变化分布被建模为进展的患者预后较差。这与癌症进展需要多个遗传途径失调的观点一致。