Department of Pathology, University of California San Francisco, 1825 4th Street, Room L2181A, San Francisco, CA, 94158, USA.
Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
BMC Cancer. 2020 Jan 31;20(1):83. doi: 10.1186/s12885-020-6579-z.
Gene expression profiling has consistently identified three molecular subtypes of lung adenocarcinoma that have prognostic implications. To facilitate stratification of patients with this disease into similar molecular subtypes, we developed and validated a simple, mutually exclusive classification.
Mutational status of EGFR, KRAS, and TP53 was used to define seven mutually exclusive molecular subtypes. A development cohort of 283 cytology specimens of lung adenocarcinoma was used to evaluate the associations between the proposed classification and clinicopathologic variables including demographic characteristics, smoking history, fluorescence in situ hybridization and molecular results. For validation and prognostic assessment, 63 of the 283 cytology specimens with available survival data were combined with a separate cohort of 428 surgical pathology specimens of lung adenocarcinoma.
The proposed classification yielded significant associations between these molecular subtypes and clinical and prognostic features. We found better overall survival in patients who underwent surgery and had tumors enriched for EGFR mutations. Worse overall survival was associated with older age, stage IV disease, and tumors with co-mutations in KRAS and TP53. Interestingly, neither chemotherapy nor radiation therapy showed benefit to overall survival.
The mutational status of EGFR, KRAS, and TP53 can be used to easily classify lung adenocarcinoma patients into seven subtypes that show a relationship with prognosis, especially in patients who underwent surgery, and these subtypes are similar to classifications based on more complex genomic methods reported previously.
基因表达谱分析一致确定了肺腺癌的三种分子亚型,这些亚型具有预后意义。为了将患有这种疾病的患者分为相似的分子亚型,我们开发并验证了一种简单的、互斥的分类方法。
使用 EGFR、KRAS 和 TP53 的突变状态来定义七个互斥的分子亚型。对 283 例肺腺癌细胞学标本进行了开发队列评估,以评估所提出的分类与临床病理变量之间的关系,包括人口统计学特征、吸烟史、荧光原位杂交和分子结果。为了验证和预后评估,将 283 例细胞学标本中有可用生存数据的 63 例与另一个包含 428 例肺腺癌手术病理标本的队列合并。
所提出的分类方法与这些分子亚型与临床和预后特征之间存在显著相关性。我们发现,接受手术且肿瘤 EGFR 突变丰富的患者总体生存率更好。总体生存率较差与年龄较大、IV 期疾病以及 KRAS 和 TP53 共突变的肿瘤有关。有趣的是,化疗和放疗均未显示对总体生存率有获益。
EGFR、KRAS 和 TP53 的突变状态可用于将肺腺癌患者轻松分为七种与预后相关的亚型,尤其是在接受手术的患者中,这些亚型与以前报道的基于更复杂基因组方法的分类相似。