Nomogram integrating gene expression signatures with clinicopathological features to predict survival in operable NSCLC: a pooled analysis of 2164 patients
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- 作者：Jian Wu ; Lizhi Zhou ; Lixia Huang ; Jincui Gu…
- 关键词：NSCLC ; Gene expression signatures ; NTP ; CIBERSORT ; Prognosis
- 刊名：Journal of Experimental & Clinical Cancer Research
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：36
- 期：1
- 全文大小：2588KB
- 刊物主题：Oncology; Cancer Research; Immunology; Apoptosis;
- 出版者：BioMed Central
- ISSN：1756-9966
- 卷排序：36
文摘
BackgroundThe current tumor-node-metastasis (TNM) staging system is insufficient to predict outcome of patients with operable Non-Small Cell Lung Cancer (NSCLC) owing to its phenotypic and genomic heterogeneity. Integrating genomic signatures with clinicopathological factors may provide more detailed evaluation of prognosis.