Hsa-miR-6743-5p Expression Varies with Lymph Node Metastasis in Esophageal Cancer

Clin Lab. 2018 Jul 1;64(7):1249-1257. doi: 10.7754/Clin.Lab.2018.180314.

Abstract

Background: Recently, esophageal cancer has become more common in China. To find a molecular biomarker will provide a handy way to improve precancerous diagnosis and evaluate the state of lymph node metastasis, improving prognosis. The present study aimed to investigate the expression level of hsa-miR-6743-5p in 25 esophageal tissues and to estimate the correlation between clinicopathological features of esophageal squamous cell cancer with miR-6743-5p expression.

Methods: Quantitative reverse transcription polymerase chain reaction was performed to examine the expression level of miR-6743-5p in 25 pairs of esophageal cancer tissues and adjacent non-cancerous tissues. The correlation between miR-6743-5p level and clinical characteristics was determined.

Results: The examined esophageal squamous cell cancer tissues exhibited no statistical difference on miR-6743-5p expression compared to the adjacent non-tumor tissues. miR-6743-5p was positively associated with lymph node metastasis. Downregulation of miR-6743-5p was found in the patients with lymph node metastasis while upregulation of miR-6743-5p was found in those without lymph node metastasis.

Conclusions: Our study suggests that the expression of miR-6743-5p is different in different lymph node metastasis statuses. miR-6743-5p expression is downregulated in patients with lymph node metastasis in esophageal cancer.

MeSH terms

  • Aged
  • Asian People / genetics
  • Biomarkers, Tumor / genetics
  • Carcinoma, Squamous Cell / ethnology
  • Carcinoma, Squamous Cell / genetics*
  • Carcinoma, Squamous Cell / pathology
  • China
  • Down-Regulation
  • Esophageal Neoplasms / ethnology
  • Esophageal Neoplasms / genetics*
  • Esophageal Neoplasms / pathology
  • Female
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Lymphatic Metastasis
  • Male
  • MicroRNAs / genetics*
  • Middle Aged
  • Prognosis

Substances

  • Biomarkers, Tumor
  • MicroRNAs