In Hee Lee1, Gyeonghwa Kim2, Sang Gyu Kwak3, Dong Won Baek4, Byung Woog Kang4, Hye Jin Kim5, Su Yeon Park5, Jun Seok Park5, Gyu-Seog Choi5, Keun Hur2, Jong Gwang Kim4. 1. Division of Hematology/Oncology, Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu 42112, Korea. 2. Department of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu 41404, Korea. 3. Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu 42112, Korea. 4. Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University Cancer Research Institute, Kyungpook National University, Daegu 41404, Korea. 5. Department of Surgery, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University Cancer Research Institute, Kyungpook National University, Daegu 41404, Korea.
Abstract
(1) Background: Lymph node (LN) status is an indubitable prognostic factor for survival among colon cancer patients. MicroRNAs (miRNAs) have been implicated in the development and progression of many cancers and are potential biomarkers for cancer diagnosis and prognosis. Therefore, we validated candidate biomarkers using circulating miRNAs by analyzing the plasma miRNA concentrations from patients with colon cancer to predict LN metastasis. (2) Methods: This study included 79 blood samples from patients diagnosed with colon cancer. The NanoString assay was used for screening, and TaqMan miRNA assays for quantitative real-time polymerase chain reaction (RT-PCR) test was used for validation. In a discovery set, we compared the expression of 800 circulating miRNAs in 24 samples (stage 0/I/IIA versus IIIB/IIIC). For validation, a total 79 samples were tested using quantitative RT-PCR. (3) Results: In the discovery set, 10 candidate circulating miRNAs were detected (4 up-regulated miRNAs: miR-323a-3p, miR-382-5p, miR-29a-3p, and miR-376a-3p; 6 down-regulated miRNAs: miR-26a-5p, let-7g-5p, miR-15b-5p, miR-142-3p, miR-374a-5p, and let-7b-5p). In the validation set, higher expression of three circulating miRNAs (miR-323a-3p, miR-382-5p, and miR-376a-3p) was significantly associated with LN metastasis (p = 0.0063, 0.0107, and 0.0022). (4) Conclusions: High expression of circulating miR-323a-3p, miR-382-5p, and miR-376a-3p was significantly associated with LN metastasis in colon cancer patients. These miRNAs could be circulating biomarker candidates that predict the presence of LN metastasis.
(1) Background: Lymph node (LN) status is an indubitable prognostic factor for survival among colon cancerpatients. MicroRNAs (miRNAs) have been implicated in the development and progression of many cancers and are potential biomarkers for cancer diagnosis and prognosis. Therefore, we validated candidate biomarkers using circulating miRNAs by analyzing the plasma miRNA concentrations from patients with colon cancer to predict LN metastasis. (2) Methods: This study included 79 blood samples from patients diagnosed with colon cancer. The NanoString assay was used for screening, and TaqMan miRNA assays for quantitative real-time polymerase chain reaction (RT-PCR) test was used for validation. In a discovery set, we compared the expression of 800 circulating miRNAs in 24 samples (stage 0/I/IIA versus IIIB/IIIC). For validation, a total 79 samples were tested using quantitative RT-PCR. (3) Results: In the discovery set, 10 candidate circulating miRNAs were detected (4 up-regulated miRNAs: miR-323a-3p, miR-382-5p, miR-29a-3p, and miR-376a-3p; 6 down-regulated miRNAs: miR-26a-5p, let-7g-5p, miR-15b-5p, miR-142-3p, miR-374a-5p, and let-7b-5p). In the validation set, higher expression of three circulating miRNAs (miR-323a-3p, miR-382-5p, and miR-376a-3p) was significantly associated with LN metastasis (p = 0.0063, 0.0107, and 0.0022). (4) Conclusions: High expression of circulating miR-323a-3p, miR-382-5p, and miR-376a-3p was significantly associated with LN metastasis in colon cancerpatients. These miRNAs could be circulating biomarker candidates that predict the presence of LN metastasis.
Authors: Yu Rim Lee; Gyeonghwa Kim; Won Young Tak; Se Young Jang; Young Oh Kweon; Jung Gil Park; Hye Won Lee; Young Seok Han; Jae Min Chun; Soo Young Park; Keun Hur Journal: Int J Cancer Date: 2018-12-03 Impact factor: 7.396