Value of circular RNA 0007385 in disease monitoring and prognosis estimation in non-small-cell lung cancer patients

J Clin Lab Anal. 2020 Aug;34(8):e23338. doi: 10.1002/jcla.23338. Epub 2020 Jul 14.

Abstract

Objective: This study aimed to assess the circular RNA_0007385 (hsa_circ_0007385) expression in tumor/adjacent non-tumor tissues, and the correlation of its tumor expression with clinicopathological features as well as survival in non-small-cell lung cancer (NSCLC) patients.

Methods: 210 NSCLC patients who underwent tumor resection were reviewed in this retrospective study. 210 tumor specimens and 81 paired adjacent specimens were collected, in which the hsa_circ_0007385 expression was detected by reverse transcription-quantitative polymerase chain reaction assay. Disease-free survival (DFS) and overall survival (OS) were recorded, and the last follow-up date was June 30, 2019.

Results: Hsa_circ_0007385 was upregulated in tumor tissue compared with adjacent non-tumor tissue (P < .001), and ROC curve analysis revealed that hsa_circ_0007385 expression had an excellent value in distinguishing tumor tissue from adjacent non-tumor tissue with an area under curve of 0.922 (95% CI: 0.890-0.953). Tumor hsa_circ_0007385 high expression correlated with lymph node metastasis (P = .007) and higher TNM stage (P = .004). In addition, DFS (P = .028) and OS (P = .008) were both less favorable in patients with tumor hsa_circ_0007385 high expression compared to patients with tumor hsa_circ_0007385 low expression. Besides, the DFS (P = .008) and OS (P = .012) were also the worst in patients with tumor hsa_circ_0007385 high+++ expression, followed by patients with tumor hsa_circ_0007385 high++ expression and patients with tumor hsa_circ_0007385 high + expression, and the best in patients with tumor hsa_circ_0007385 low expression. Multivariate regression analysis elucidated that tumor hsa_circ_0007385 high expression independently predicted worse OS (P = .033).

Conclusion: Tumor hsa_circ_0007385 could be a novel biomarker for disease monitoring and prognosis prediction in NSCLC patients.

Keywords: hsa_circ_0007385; non-small-cell lung cancer; prognosis; tissue; tumor feature.

MeSH terms

  • Aged
  • Biomarkers, Tumor* / analysis
  • Biomarkers, Tumor* / genetics
  • Biomarkers, Tumor* / metabolism
  • Carcinoma, Non-Small-Cell Lung* / diagnosis
  • Carcinoma, Non-Small-Cell Lung* / metabolism
  • Carcinoma, Non-Small-Cell Lung* / mortality
  • Carcinoma, Non-Small-Cell Lung* / pathology
  • Female
  • Humans
  • Lung / pathology
  • Lung Neoplasms* / diagnosis
  • Lung Neoplasms* / metabolism
  • Lung Neoplasms* / mortality
  • Lung Neoplasms* / pathology
  • Male
  • Middle Aged
  • Prognosis
  • RNA, Circular* / analysis
  • RNA, Circular* / genetics
  • RNA, Circular* / metabolism
  • Retrospective Studies

Substances

  • Biomarkers, Tumor
  • RNA, Circular