Literature DB >> 23912489

Complexin-2 (CPLX2) as a potential prognostic biomarker in human lung high grade neuroendocrine tumors.

Hiroaki Komatsu1, Anna Kakehashi, Noritoshi Nishiyama, Nobuhiro Izumi, Shinjiro Mizuguchi, Shotaro Yamano, Hidetoshi Inoue, Shoji Hanada, Kyukwang Chung, Min Wei, Shigefumi Suehiro, Hideki Wanibuchi.   

Abstract

The present study aimed to identify novel useful clinical biomarker of high grade lung neuroendocrine tumors (LNETs). Based on the results of QSTAR LC-MS/MS analysis, we selected complexin-2 (CPLX2) (upregulated 8.7-fold) as a potential biomarker in high grade human LNETs, and validated its expression immunohistochemically in comparison with non-small cell lung carcinomas (NSCLCs). CPLX2 was strongly positive in 16.3% of examined LNETs, but completely negative in all adjacent non-cancerous tissues and NSCLCs. Importantly, positive CPLX2 expression was associated with lymph vessel invasion (P=0.016), pathological stage (P=0.031), and poor disease-specific survival (P=0.004) of patients with LNETs. Preoperative serum CPLX2 level measured by ELISA was significantly elevated in high grade LNETs as compared with %NCs non-cancer controls (NCs) (P=0.002) and NSCLCs (P< 0.001). Receiver operating characteristic (ROC) curve analysis was used for separating high-grade LNET patients from NSCLC patients. The area under the ROC curve (AUC) was 0.825. The calculated optimal cut-off point for CPLX2 level in the serum was 17.8 pg/ml (Youden index=0.591), while sensitivity and specificity was 94.1% and 65.0%, respectively. CPLX2 is suggested as a novel potential clinically useful biomarker for the diagnosis, prognosis and adequate choice of therapy for patients with high grade LNETs.

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Year:  2013        PMID: 23912489     DOI: 10.3233/CBM-130336

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  7 in total

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Journal:  Appl Biochem Biotechnol       Date:  2022-09-15       Impact factor: 3.094

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Authors:  Sanjeev Kumar; Jyoti Tripathi; Dharmendra K Maurya; Jitendra Nuwad; Satyendra Gautam
Journal:  3 Biotech       Date:  2022-09-08       Impact factor: 2.893

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Authors:  Hu Song; Chengwei Ruan; Yixin Xu; Teng Xu; Ruizhi Fan; Tao Jiang; Meng Cao; Jun Song
Journal:  Exp Biol Med (Maywood)       Date:  2021-12-14

4.  Establishment, functional and genetic characterization of a colon derived large cell neuroendocrine carcinoma cell line.

Authors:  Michael Gock; Christina S Mullins; Christine Harnack; Friedrich Prall; Robert Ramer; Anja Göder; Oliver H Krämer; Ernst Klar; Michael Linnebacher
Journal:  World J Gastroenterol       Date:  2018-09-07       Impact factor: 5.742

5.  Predicting the Prognostic Value of POLI Expression in Different Cancers via a Machine Learning Approach.

Authors:  Xuan Xu; Majid Jaberi-Douraki; Nicholas A Wallace
Journal:  Int J Mol Sci       Date:  2022-08-02       Impact factor: 6.208

6.  Comprehensive multi-omics analysis identified core molecular processes in esophageal cancer and revealed GNGT2 as a potential prognostic marker.

Authors:  Guo-Min Liu; Xuan Ji; Tian-Cheng Lu; Li-Wei Duan; Wen-Yuan Jia; Yun Liu; Mao-Lei Sun; Yun-Gang Luo
Journal:  World J Gastroenterol       Date:  2019-12-28       Impact factor: 5.742

7.  Time series expression pattern of key genes reveals the molecular process of esophageal cancer.

Authors:  Jiafu Wang; Xiang Xie; Yurong Sun
Journal:  Biosci Rep       Date:  2020-02-28       Impact factor: 3.840

  7 in total

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