Affiliation:
1. Department of Gynecological Oncology Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy Tianjin China
2. Tianjin Cancer Hospital Airport Hospital, National Clinical Research Center for Cancer Tianjin China
3. Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy YuceBio Technology Co., Ltd. Shenzhen China
Abstract
AbstractBackgroundIon channels play an important role in tumorigenesis and progression of cervical cancer. Multiple long non‐coding RNA genes are widely involved in ion channel‐related signaling regulation. However, the association and potential clinical application of lncRNAs in the prognosis of cervical cancer are still poorly explored.MethodsThirteen patients with cervical cancer were enrolled in current study. Whole transcriptome (involving both mRNAs and lncRNAs) sequencing was performed on fresh tumor and adjacent normal tissues that were surgically resected from patients. A comprehensive cervical cancer‐specific lncRNA landscape was obtained by our custom pipeline. Then, a prognostic scoring model of ion‐channel‐related lncRNAs was established by regression algorithms. The performance of the predictive model as well as its association with the clinical characteristics and tumor microenvironment (TME) status were further evaluated.ResultsTo comprehensively identify cervical cancer‐specific lncRNAs, we sequenced 26 samples of cervical cancer patients and integrated the transcriptomic results. We built a custom analysis pipeline to improve the accuracy of lncRNA identification and functional annotation and obtained 18,482 novel lncRNAs in cervical cancer. Then, 159 ion channel‐ and tumorigenesis‐related (ICTR‐) lncRNAs were identified. Based on nine ICTR‐lncRNAs, we also established a prognostic scoring model and validated its accuracy and robustness in assessing the prognosis of patients with cervical cancer. Besides, the TME was characterized, and we found that B cells, activated CD8+ T, and tertiary lymphoid structures were significantly associated with ICTR‐lncRNAs signature scores.ConclusionWe provided a thorough landscape of cervical cancer‐specific lncRNAs. Through integrative analyses, we identified ion‐channel‐related lncRNAs and established a predictive model for assessing the prognosis of patients with cervical cancer. Meanwhile, we characterized its association with TME status. This study improved our knowledge of the prominent roles of lncRNAs in regulating ion channel in cervical cancer.