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Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma
Journal of Thoracic Oncology ( IF 20.4 ) Pub Date : 2018-10-01 , DOI: 10.1016/j.jtho.2018.06.025
Michael F. Sharpnack , Nilini Ranbaduge , Arunima Srivastava , Ferdinando Cerciello , Simona G. Codreanu , Daniel C. Liebler , Celine Mascaux , Wayne O. Miles , Robert Morris , Jason E. McDermott , James L. Sharpnack , Joseph Amann , Christopher A. Maher , Raghu Machiraju , Vicki H. Wysocki , Ramaswami Govindan , Parag Mallick , Kevin R. Coombes , Kun Huang , David P. Carbone

Introduction: Despite apparently complete surgical resection, approximately half of resected early‐stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying who benefits from adjuvant therapy, the drivers of relapse, and novel targets in this setting. Methods: RNA sequencing and liquid chromatography/liquid chromatography–mass spectrometry proteomics data were generated from 51 surgically resected non–small cell lung tumors with known recurrence status. Results: We present a rationale and framework for the incorporation of high‐content RNA and protein measurements into integrative biomarkers and show the potential of this approach for predicting risk of recurrence in a group of lung adenocarcinomas. In addition, we characterize the relationship between mRNA and protein measurements in lung adenocarcinoma and show that it is outcome specific. Conclusions: Our results suggest that mRNA and protein data possess independent biological and clinical importance, which can be leveraged to create higher‐powered expression biomarkers.

中文翻译:

手术切除肺腺癌的蛋白质组学分析

简介:尽管手术切除看似完全,但大约一半切除的早期肺癌患者会复发并死于疾病。辅助化疗仅将这种风险降低 5% 至 8%。因此,需要更好地确定辅助治疗的受益者、复发的驱动因素以及在这种情况下的新目标。方法:RNA 测序和液相色谱/液相色谱-质谱蛋白质组学数据来自 51 例手术切除的已知复发状态的非小细胞肺肿瘤。结果:我们提出了将高含量 RNA 和蛋白质测量纳入综合生物标志物的基本原理和框架,并展示了这种方法在预测一组肺腺癌复发风险方面的潜力。此外,我们表征了肺腺癌中 mRNA 和蛋白质测量值之间的关系,并表明它是结果特异性的。结论:我们的结果表明 mRNA 和蛋白质数据具有独立的生物学和临床重要性,可用于创建更高功率的表达生物标志物。
更新日期:2018-10-01
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