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Immune-infiltration based signature as a novel prognostic biomarker in gastrointestinal stromal tumour

Zhe-Wei Wei, Jing Wu, Weibin Huang, Jin Li, Xiaofang Lu, Yujie Yuan, Wenjun Xiong, Xinhua Zhang, Wei Wang, Yulong He, Changhua Zhang

2020EBioMedicine36 citationsDOIOpen Access PDF

Abstract

BackgroundAccumulating evidence indicates that tumour-infiltrating lymphocytes (TILs) are the primary determinant of survival outcomes in various tumours. Thus, we sought to investigate the TIL distribution and density in gastrointestinal stromal tumours (GISTs) and to develop an immune infiltration (II)-based signature to predict prognosis.MethodsThe expression of 8 immune features in the tumour centre (TC) and tumour margin (TM) and PD-L1 in 435 GIST patients was investigated by immunohistochemistry. Then, a 4-feature-based II-GIST signature integrating the CD3+ TC, CD3+ TM, CD8+ TM and CD45RO+ TM parameters was developed using a LASSO Cox regression model in the training cohort and was validated in two separate validation cohorts.FindingsHigh CD3+ TC, CD3+ TM, CD8+ TC, CD8+ TM, CD45RO+ TM, NKp46+ TM and CD20+ TM correlated with improved survival. Patients with high II-GIST scores have better RFS and OS outcomes than those with low II-GIST scores. Multivariable analyses demonstrated that the II-GIST signature is an independent prognostic factor. The receiver operating characteristic (ROC) curve demonstrated that the prognostic accuracy of the II-GIST signature is superior to that of the NIH risk criteria. Further analysis showed that moderate- and high-risk GIST patients with high II-GIST scores could gain survival benefits from adjuvant imatinib therapy.InterpretationThe novel II-GIST signature accurately predicted the survival outcomes of GIST patients. In addition, the II-GIST signature was a useful predictor of survival benefit from imatinib therapy amongst moderate- and high-risk patients with GIST.FundingThis project was supported by National Natural Science Foundation of China (81702325), Natural Science Foundation of Guangdong Province (2017A030310565), and 3&3 Project of the First Affiliated Hospital of Sun Yat-sen University.

Topics & Concepts

GiSTMedicineOncologyProportional hazards modelInternal medicineImatinibCohortSurvival analysisStromal cellMyeloid leukemiaGastrointestinal Tumor Research and TreatmentInflammatory Biomarkers in Disease PrognosisMetastasis and carcinoma case studies