Abstract

Given the importance of solute carrier (SLC) proteins in maintaining cellular metabolic homeostasis and that their dysregulation contributes to cancer progression, here we constructed a robust SLC family signature for lung adenocarcinoma (LUAD) patient stratification. Transcriptomic profiles and relevant clinical information of LUAD patients were downloaded from the TCGA and GEO databases. SLC family genes differentially expressed between LUAD tissues and adjacent normal tissues were identified using limma in R. Of these, prognosis-related SLC family genes were further screened out and used to construct a novel SLC family-based signature in the training cohort. The accuracy of the prognostic signature was assessed in the testing cohort, the entire cohort, and the external GSE72094 cohort. Correlations between the prognostic signature and the tumor immune microenvironment and immune cell infiltrates were further explored. We found that seventy percent of SLC family genes (279/397) were differentially expressed between LUAC tissues and adjacent normal. Twenty-six genes with p-values < 0.05 in univariate Cox regression analysis and Kaplan-Meier survival analysis were regarded as prognosis-related SLC family genes, six of which were used to construct a prognostic signature for patient classification into high- and low-risk groups. Kaplan-Meier survival analysis in all internal and external cohorts revealed a better overall survival for patients in the low-risk group than those in the high-risk group. Univariate and multivariate Cox regression analyses indicated that the derived risk score was an independent prognostic factor for LUAD patients. Moreover, a nomogram based on the six-gene signature and clinicopathological factors was developed for clinical application. High-risk patients had lower stromal, immune, and ESTIMATE scores and higher tumor purities than those in the low-risk group. The proportions of infiltrating naive CD4 T cells, activated memory CD4 T cells, M0 macrophages, resting dendritic cells, resting mast cells, activated mast cells, and eosinophils were significantly different between the high- and low-risk prognostic groups. In all, the six-gene SLC family signature is of satisfactory accuracy and generalizability for predicting overall survival in patients with LUAD. Furthermore, this prognostics signature is related to tumor immune status and distinct immune cell infiltrates in the tumor microenvironment.

Highlights

  • Lung cancer is the leading cause of cancer-related mortality worldwide (Hirsch et al, 2017)

  • nonsmall cell lung cancer (NSCLC) can be further classified into three subtypes: lung adenocarcinoma (LUAD), large cell carcinoma, and squamous cell carcinoma, of which LUAD is the most common, accounting for 40% of cases (Rotow and Bivona, 2017; Herbst et al, 2018)

  • Genes with p-values < 0.05 in both analyses were regarded as prognosis-related solute carrier (SLC) family genes

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Summary

Introduction

Lung cancer is the leading cause of cancer-related mortality worldwide (Hirsch et al, 2017). There are two main histological subtypes of lung cancer: nonsmall cell lung cancer (NSCLC) and small cell lung cancer (SCLC) (de Sousa and Carvalho, 2018), the former accounting for ∼85% of cases (Testa et al, 2018). NSCLC can be further classified into three subtypes: lung adenocarcinoma (LUAD), large cell carcinoma, and squamous cell carcinoma, of which LUAD is the most common, accounting for 40% of cases (Rotow and Bivona, 2017; Herbst et al, 2018). While there have been significant advances in the diagnosis and management of LUAD, clinical outcomes remain poor and 5-year overall survival (OS) is only about 15% (Wang et al, 2021). It remains difficult to accurately predict outcomes for patients with LUAD using current approaches (Calvayrac et al, 2017). There is an urgent need to develop more effective and robust prognostic biomarkers so that optimal and personalized therapeutic and management schemes can be developed and applied to distinct subsets of LUAD patients

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