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Clinicopathological predictors of lymphatic metastasis in HNSCC: implications for molecular mechanisms of metastatic disease.

机译:HNSCC淋巴结转移的临床病理预测因子:转移性疾病分子机制的影响。

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Lymphatic metastasis is associated with up to a 50% decrease in survival, yet the molecular mechanisms driving their establishment remain poorly understood. This study assessed clinicopathological characteristics correlated to nodal metastasis among patients with head and neck squamous cell carcinoma for the identification of pathways on which to focus molecular studies. Pathology records were queried for cases diagnosed with invasive squamous cell cancer of the upper aerodigestive tract between 1993 and 2003. Charts and pathology reports were scored for 16 characteristics. The univariate association of each variable with lymph node status was assessed. Based on the univariate analysis, a multiple logistic regression model was developed to assess the simultaneous association of variables with lymph node status. Of the 644 cases identified, 234 had a surgical specimen analyzed. All variables were scored for 185 of the 234 cases. Multivariate stepwise regression analysis identified clinical stage (p = 0.0269), pathologic stage (p = 0.0162), grade (p = 0.0094), lymphovascular invasion (p = 0.0393), and family history of cancer (p = 0.0079) as independently predictive of lymphatic metastases. Our study confirms that grade, pathologic stage, clinical stage, and lymphovascular invasion are predictors of regional metastasis. These correlations suggest that studying the molecular mechanisms of differentiation, interstitial pressure at the primary tumor site, and peritumoral lymphangiogenesis may provide insight into lymphatic metastasis. Additionally, we identified family history of cancer as a new predictor of lymphatic metastasis. Thus, genetic analysis of families with cancer, irrespective of type, may identify genes important for regional metastasis.
机译:淋巴结转移与存活率降低至多50%有关,但驾驶其建立的分子机制仍然明白。该研究评估了头部和颈部鳞状细胞癌患者的临床病理特性,用于识别聚焦分子研究的途径。对1993年至2003年期间诊断出侵入性鳞状细胞癌的病例进行病理记录。图表和病理报告得到了16个特征。评估每个变量与淋巴结状态的单变量关联。基于单变量分析,开发了一种多逻辑回归模型,以评估变量与淋巴结状态的同时关联。在确定的644例中,分析了234例手术标本。所有变量均为234例中的185例得分。多变量逐步回归分析鉴定临床阶段(p = 0.0269),病理阶段(p = 0.0162),等级(p = 0.0094),淋巴血管侵袭(p = 0.0393),癌症家族史(p = 0.0079),如独立预测淋巴转移。我们的研究证实,等级,病理阶段,临床阶段和淋巴血管入侵是区域转移的预测因子。这些相关性表明,研究分化的分子机制,原发性肿瘤部位和腹膜淋巴管发生的分子机制可以提供淋巴转移的洞察力。此外,我们认为癌症家族史作为淋巴转移的新预测因子。因此,与癌症的家庭的遗传分析,无论类型如何,都可以鉴定对区域转移的重要基因。

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