Single-cell sequencing identifies differentiation-related markers for molecular classification and recurrence prediction of PitNET

单细胞测序识别分化相关标记,用于 PitNET 的分子分类和复发预测

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作者:Qilin Zhang, Boyuan Yao, Xin Long, Zhengyuan Chen, Min He, Yue Wu, Nidan Qiao, Zengyi Ma, Zhao Ye, Yichao Zhang, Shun Yao, Ye Wang, Haixia Cheng, Hong Chen, Hongying Ye, Yongfei Wang, Yimin Li, Jianhua Chen, Zhaoyun Zhang, Fan Guo, Yao Zhao

Abstract

Pituitary neuroendocrine tumor (PitNET) is one of the most common intracranial tumors with variable recurrence rate. Currently, the recurrence prediction is unsatisfying and can be improved by understanding the cellular origins and differentiation status. Here, to comprehensively reveal the origin of PitNET, we perform comparative analysis of single-cell RNA sequencing data from 3 anterior pituitary glands and 21 PitNETs. We identify distinct genes representing major subtypes of well and poorly differentiated PitNETs in each lineage. To further verify the predictive value of differentiation biomarkers, we include an independent cohort of 800 patients with an average follow-up of 7.2 years. In both PIT1 and TPIT lineages, poorly differentiated groups show significantly higher recurrence rates while well-differentiated groups show higher recurrence rates in SF1 lineage. Our findings reveal the possible origin and differentiation status of PitNET based on which new differentiation classification is proposed and verified to predict tumor recurrence.

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