4.6 Article

Immune Microenvironment Signatures as Biomarkers to Predict Early Recurrence of Stage Ia-b Lung Cancer

Journal

FRONTIERS IN ONCOLOGY
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2021.680287

Keywords

lung cancer; recurrence; TILs (tumor-infiltrating lymphocytes); gene expression; biomarker

Categories

Funding

  1. China National Natural Science Foundation [81000905, 81972638]
  2. Hunan Provincial Natural Science Foundation [14JJ4014, 2020SK53419, 2019JJ50953]
  3. Hunan Provincial Key Area RD Program [2019SK2253]
  4. CSCO Cancer Research Foundation [CSCO-Y-young2019-034, CSCO-2019Roche-073]
  5. Changsha Municipal Natural Science Foundation [kq2014246]

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This study identified immune cell types and immune-related genes associated with tumor early recurrence in stage Ia-b NSCLC patients. The combination of five immune-related genes showed high sensitivity and specificity for predicting early recurrence of lung cancer in the training cohort, with varying performance in the validation cohorts. These findings suggest that immune-related gene expression may serve as robust biomarkers for predicting early recurrence in stage Ia-b NSCLC patients after curative resection.
Introduction: Approximately 30% of patients diagnosed with stage Ia-b NSCLC die of recurrent disease after surgery. This study aimed to identify immune-related biomarkers that might predict tumor recurrence in stage Ia-b NSCLC within 40 months after curative resection. Methods: Gene expression data of stage Ia-b NSCLC samples was retrieved from the TCGA database, the GEO databases, and the Second Xiangya hospital (XXEYY) database. 22 types of tumors infiltrating immune cells and the expression of immune-associated genes were investigated using CIBERSORT, immunohistochemical staining, and GSEA analyses in a total of 450 patients (80 in the training cohort and 370 in the validation cohorts). Recurrence-related immune features were selected based on the LASSO Cox regression model. Results: High density of Tregs, Macrophages M0 and M1 cell could be observed in recurrence group while the memory B cell was more frequently enriched in controls, yet Tregs alone was significantly associated with tumor early recurrence in TCGA cohort, XYEYY cohort and GSE37745 dataset. A handful of immune-related genes were identified in the recurrence group. Based on Lasso regression analysis, the expressions of five immune-related genes, RLTPR, SLFN13, MIR4500HG, HYDIN and TPRG1 were closely correlated with tumor early recurrence. In the training cohort (TCGA), the combination of these five genes has sensitivity and specificity of 85% and 85%, with AUC of 0.91 (95% CI 0.84-0.98) for lung cancer early recurrence prediction, whereas in validation cohorts, the sensitivity and specificity using this panel was 61-89% and 54-82%, with AUC of 0.62-0.84. Conclusion: Our study demonstrated that the immune microenvironment signatures were closely related to tumor early recurrence. Compared to tumor-infiltrating lymphocytes, the expression of five immune-related genes could be robust biomarkers to predict early recurrence of stage Ia-b NSCLC after curative resection.

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