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A tumor microenvironment-associated circRNA predictor for tumor relapse and chemotherapy vulnerability in nasopharyngeal carcinoma

Ye-Lin Liang, Yu-Heng Zhao, Cong Ding, Sai-Wei Huang, Qian Li, Chong-Mei Zhu, Qing-Mei He, Ling-Long Tang, Yan-Ping Mao, Lei Chen, Wen-Fei Li, Guan-Qun Zhou, Na Liu, Wei Jiang, Jun Ma, Ying-Qin Li

ISCIENCE(2023)

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Abstract
Accurate risk stratification for patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC) is crucial for prognosis and treatment decisions. Here, we develop a tumor microenvironment-associated circular RNA (circRNA) signature that can stratify LA-NPC patients with different risks of relapse and vulnerability to induction chemotherapy (IC). Relapsed-related circRNAs are identified by comparing expression profiles between patients with and without relapse, followed by quantitative validation in the training cohort (n = 170). A nine-circRNA signature is constructed to classify patients into high-risk and low-risk groups. Low-risk patients have significantly favorable clinical survivals, which is validated in the internal (n = 170) and external (n = 150) cohorts. They are characterized by an immune-active microenvironment and can derive benefits from IC. Meanwhile, high-risk patients characterized with pro-relapse and DNA repair-associated features, are vulnerable to chemoresistance. Overall, the circRNA-based classifier serves as a reliable prognostic tool and might guide chemotherapy decisions for patients with LA-NPC.
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Key words
circrna predictor,nasopharyngeal carcinoma,tumor relapse,microenvironment-associated
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