A novel protein-based prognostic signature improves risk stratification to guide clinical management in early-stage lung adenocarcinoma patients

The Journal of Pathology
Elena Martínez-TerrobaMaría J Pajares

Abstract

Each of the pathological stages (I-IIIa) of surgically resected non-small-cell lung cancer has hidden biological heterogeneity, manifested as heterogeneous outcomes within each stage. Thus, the finding of robust and precise molecular classifiers with which to assess individual patient risk is an unmet medical need. Here, we identified and validated the clinical utility of a new prognostic signature based on three proteins (BRCA1, QKI, and SLC2A1) to stratify early-stage lung adenocarcinoma patients according to their risk of recurrence or death. Patients were staged according to the new International Association for the Study of Lung Cancer (IASLC) staging criteria (8th edition, 2018). A test cohort (n = 239) was used to assess the value of this new prognostic index (PI) based on the three proteins. The prognostic signature was developed by Cox regression with the use of stringent statistical criteria (TRIPOD: Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis). The model resulted in a highly significant predictor of 5-year outcome for disease-free survival (p < 0.001) and overall survival (p < 0.001). The prognostic ability of the model was externally validated in an independent mul...Continue Reading

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Citations

Dec 31, 2019·Journal of Cancer Research and Clinical Oncology·Di-Han LiuHao Long
Jun 13, 2020·Journal of Clinical Medicine·Roberto GasparriLorenzo Spaggiari
Jul 14, 2020·Frontiers in Genetics·Zhuomao MoShijun Zhang
Jun 27, 2019·Seminars in Cell & Developmental Biology·Blanca MajemCristina Muñoz-Pinedo

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