5 protein-based signature for resectable lung squamous cell carcinoma improves the prognostic performance of the TNM staging. Issue 4 (24th November 2018)

• Record Type: Journal Article
• Authors: Martínez-Terroba, Elena; Behrens, Carmen; Agorreta, Jackeline; Monsó, Eduard; Millares, Laura; Felip, Enriqueta; Rosell, Rafael; Ramirez, José Luis; Remirez, Ana; Torre, Wenceslao; Gil-Bazo, Ignacio; Idoate, Miguel A; de-Torres, Juan P; Pio, Ruben; Wistuba, Ignacio I; Pajares, María J; Montuenga, Luis M
• Is Part Of: Thorax. Volume 74:Issue 4(2019)
• Page Start: 371
• Page End: 379
• Publication Date: 2018-11-24
• Subjects: signature -- immunohistochemistry -- squamous cell carcinoma -- disease-free survival -- overall survival -- clinical utility -- prognosis; Chest -- Diseases -- Periodicals; Thorax; Chest -- Diseases; Periodicals; Periodicals; 617.54
• DOI: 10.1136/thoraxjnl-2018-212194
• Languages: English
• ISSNs: 0040-6376

Abstract

Abstract : Introduction: Prognostic biomarkers have been very elusive in the lung squamous cell carcinoma (SCC) and none is currently being used in the clinical setting. We aimed to identify and validate the clinical utility of a protein-based prognostic signature to stratify patients with early lung SCC according to their risk of recurrence or death. Methods: Patients were staged following the new International Association for the Study of Lung Cancer (IASLC) staging criteria (eighth edition, 2018). Three independent retrospective cohorts of 117, 96 and 105 patients with lung SCC were analysed to develop and validate a prognostic signature based on immunohistochemistry for five proteins. Results: We identified a five protein-based signature whose prognostic index (PI) was an independent and significant predictor of disease-free survival (DFS) (p<0.001; HR=4.06, 95% CI 2.18 to 7.56) and overall survival (OS) (p=0.004; HR=2.38, 95% CI 1.32 to 4.31). The prognostic capability of PI was confirmed in an external multi-institutional cohort for DFS (p=0.042; HR=2.01, 95% CI 1.03 to 3.94) and for OS (p=0.031; HR=2.29, 95% CI 1.08 to 4.86). Moreover, PI added complementary information to the newly established IASLC TNM 8th edition staging system. A combined prognostic model including both molecular and anatomical (TNM) criteria improved the risk stratification in both cohorts (p<0.05). Conclusion: We have identified and validated a clinically feasible protein-based prognostic model that complements the updated TNM system allowing more accurate risk stratification. This signature may be used as an advantageous tool to improve the clinical management of the patients, allowing the reduction of lung SCC mortality through a more accurate knowledge of the patient's potential outcome.