Xiao Sun1, Maolong Wang1, Rongjian Xu1, Dongyang Zhang1, Ao Liu1, Yuanyong Wang1, Tong Lu1, Yanlu Xin2, Yandong Zhao1, Yunpeng Xuan1, Tong Qiu1, Hao Wang3, Shicheng Li1, Yang Wo1, Dahai Liu4, Jinpeng Zhao5, Bo Fu6, Yaliang Lan1, Yudong Han1, Wenjie Jiao1. 1. Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266003, China. 2. Department of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao 266003, China. 3. Administrative Office, Affiliated Hospital of Qingdao University, Qingdao 266003, China. 4. Medical Examination Center, Affiliated Hospital of Qingdao University, Qingdao 266003, China. 5. Department of Thoracic Surgery, Laiyang Central Hospital, Yantai 264000, China. 6. Otorhinolaryngology Head and Neck Surgery, Affiliated Qilu Hospital of Shandong University, Jinan 250000, China.
Abstract
BACKGROUND: Circular RNA has been revealed as a potential biomarker in multiple malignancies. However, few studies have focused on its potential to be prognostic markers in lung squamous cell carcinoma (LSCC). In this work, we aimed to build a prognostic model of resected LSCC based on circular RNA pyruvate dehydrogenase kinase 1 (circPDK1) and other clinicopathological factors. METHODS: circPDK1 was identified via next-generation sequencing. Three hundred two cases of LSCC tissue and their adjacent normal lung tissues were obtained from multiple medical centers and divided into study cohort (n=232) and validation cohort (n=70). The expression of circPDK1 was detected for analyzing its potential prognostic value for recurrence-free survival (RFS) and overall survival (OS) in LSCC. Finally, combined with circPDK1, T staging, lymph nodes (LN) metastasis status, age, and serum squamous cell Carcinoma Antigen (SCCAg), we built a prognostic model by nomograms method and confirmed it in the validation cohort. RESULTS: CircPDK1 was identified to be overexpressed (P<0.01) in LSCC. Through analysis in study cohort, circPDK1low patients (less than the mean expression, n=124) showed more lymph nodes metastasis (P=0.025), more vascular invasion (VI) (P=0.047), more visceral pleural invasion (VPI) (P=0.015) and poorer prognosis (P=0.003) than circPDK1high ones (n=108). Univariate and multivariate analysis showed that circPDK1, T staging, LN status, age, and SCCAg were significant prognostic factors for RFS and OS. The prognostic model based on these factors showed the concordance index (C-index) of 0.8214 and 0.8359 for predicting 5-year RFS and OS, respectively. Finally, the calibration curves were performed in the study cohort and a validation cohort to evaluate the model's efficiency. CONCLUSIONS: circPDK1 was identified as a potential biomarker of resected LSCC. The prognostic model including circPDK1, T staging, LN status, age, and SCCAg could effectively predict prognosis of resected LSCC. 2019 Translational Lung Cancer Research. All rights reserved.
BACKGROUND: Circular RNA has been revealed as a potential biomarker in multiple malignancies. However, few studies have focused on its potential to be prognostic markers in lung squamous cell carcinoma (LSCC). In this work, we aimed to build a prognostic model of resected LSCC based on circular RNA pyruvate dehydrogenase kinase 1 (circPDK1) and other clinicopathological factors. METHODS: circPDK1 was identified via next-generation sequencing. Three hundred two cases of LSCC tissue and their adjacent normal lung tissues were obtained from multiple medical centers and divided into study cohort (n=232) and validation cohort (n=70). The expression of circPDK1 was detected for analyzing its potential prognostic value for recurrence-free survival (RFS) and overall survival (OS) in LSCC. Finally, combined with circPDK1, T staging, lymph nodes (LN) metastasis status, age, and serum squamous cell Carcinoma Antigen (SCCAg), we built a prognostic model by nomograms method and confirmed it in the validation cohort. RESULTS: CircPDK1 was identified to be overexpressed (P<0.01) in LSCC. Through analysis in study cohort, circPDK1low patients (less than the mean expression, n=124) showed more lymph nodes metastasis (P=0.025), more vascular invasion (VI) (P=0.047), more visceral pleural invasion (VPI) (P=0.015) and poorer prognosis (P=0.003) than circPDK1high ones (n=108). Univariate and multivariate analysis showed that circPDK1, T staging, LN status, age, and SCCAg were significant prognostic factors for RFS and OS. The prognostic model based on these factors showed the concordance index (C-index) of 0.8214 and 0.8359 for predicting 5-year RFS and OS, respectively. Finally, the calibration curves were performed in the study cohort and a validation cohort to evaluate the model's efficiency. CONCLUSIONS: circPDK1 was identified as a potential biomarker of resected LSCC. The prognostic model including circPDK1, T staging, LN status, age, and SCCAg could effectively predict prognosis of resected LSCC. 2019 Translational Lung Cancer Research. All rights reserved.
Authors: David Lang; Andreas Horner; Elmar Brehm; Kaveh Akbari; Benedikt Hergan; Klaus Langer; Christian Asel; Mario Scala; Bernhard Kaiser; Bernd Lamprecht Journal: Lung Cancer Date: 2019-05-31 Impact factor: 5.705
Authors: Josh N Vo; Marcin Cieslik; Yajia Zhang; Sudhanshu Shukla; Lanbo Xiao; Yuping Zhang; Yi-Mi Wu; Saravana M Dhanasekaran; Carl G Engelke; Xuhong Cao; Dan R Robinson; Alexey I Nesvizhskii; Arul M Chinnaiyan Journal: Cell Date: 2019-02-07 Impact factor: 41.582