Biochemistry and Biophysics Reports (Sep 2018)

Serum circulating cell free DNA as potential diagnostic and prognostic biomarker in non small cell lung cancer

  • Shimaa El-Shafey Soliman,
  • Alshimaa Mahmoud Alhanafy,
  • Mona Salah El‑din Habib,
  • Mohamed Hagag,
  • Reda Abdel Latif Ibrahem

Journal volume & issue
Vol. 15
pp. 45 – 51

Abstract

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Background: Non-small cell lung cancer (NSCLC) is leading cause of cancer related death and the survival rate for patients with NSCLC remain poor so early diagnosis of NSCLC represents the best opportunity for cure. Cell-free DNA (cf-DNA) is extracellular nucleic acids found in cell-free plasma/serum of humans, given the recent approval of a liquid biopsy in lung cancer, the use of circulating tumor DNA as a novel non-invasive diagnostic and prognostic biomarker is promising. Objectives: Studying whether the concentrations of circulating Cell Free DNA in serum can be used as a diagnostic and prognostic biomarker for NSCLC patients. Method: This study was carried out on 140 subjects included 60 patients with non small cell lung cancer,40 patients with Chronic Obstructive Pulmonary Disease (COPD) and 40 healthy controls. Quantitative analysis of serum circulating cf-DNA was done b y AlU-based quantitative real time PCR. Serum level of CEA was measured by ELISA. Results: NSCLC patients demonstrated significantly higher values of each of ALU 215, ALU 247, and DNA integrity than both COPD patients and controls. On ROC curve analysis, the total accuracy of ALU 247, ALU 115, DNA integrity (92.1%, 83.6%, 56.4%) at cutoff points (325, 565 & 0.48) respectively. On combining both DNA integrity and CEA, improved sensitivity to 93.3% was noted. For NSCLC patients, ALU 115 & ALU 247 increased significantly with more advanced stage and highest level was noticed in metastatic patients. Regarding survival there was better overall survival among patients with low DNA integrity. Conclusion: Serum cf-DNA concentrations and integrity index may be valuable tool in early diagnosis of NSCLC and prediction of prognosis of those patients. Keywords: NSCLC, Cf-DNA, Integrity index and RT-PCR