Identification of a three-miRNA signature as a blood-borne diagnostic marker for early diagnosis of lung adenocarcinoma

نویسندگان

  • Yang Wang
  • Hua Zhao
  • Xujie Gao
  • Feng Wei
  • Xinwei Zhang
  • Yanjun Su
  • Changli Wang
  • Hui Li
  • Xiubao Ren
چکیده

BACKGROUND The subtypes of NSCLC have unique characteristics of pathogenic mechanism and responses to targeted therapies. Thus, non-invasive markers for diagnosis of different subtypes of NSCLC at early stage are needed. RESULTS Based on the results from the screening and validation process, 3 miRNAs (miR-532, miR-628-3p and miR-425-3p) were found to display significantly different expression levels in early-stage lung adenocarcinoma, as compared to those in healthy controls. ROC analysis showed that the miRNA-based biomarker could distinguish lung adenocarcinoma from healthy controls with high AUC (0.974), sensitivity (91.5%), and specificity (97.8%). Importantly, these three miRNAs could also distinguish lung adenocarcinoma from lung benigh diseases and other subtypes of lung cancer. METHODS Two hundreds and one early-stage lung adenocarcinoma cases and one hundreds seventy eight age- and sex-matched healthy controls were recruited to this study. We screened the differentially expressed plasma miRNAs using TaqMan Low Density Arrays (TLDA) followed by three-phase qRT-PCR validation. A risk score model was established to evaluate the diagnostic value of the plasma miRNA profiling system. CONCLUSIONS Taken together, these findings suggest that the 3 miRNA-based biomarker might serve as a novel non-invasive approach for diagnosis of early-stage lung adenocarcinoma.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Blood-borne miRNA profile-based diagnostic classifier for lung adenocarcinoma

Accumulated evidence indicates that various types of miRNA are aberrantly expressed in lung cancer and secreted into the bloodstream. For this study, we constructed a serum diagnostic classifier based on detailed bioinformatics analysis of miRNA profiles from a training cohort of 143 lung adenocarcinoma patients and 49 healthy subjects, resulting in a 20 miRNA-based classifier. Validation perfo...

متن کامل

Diagnostic Utility of miRNAs in Cancer

Cancer is the one of most prevalent and leading causes of death in the world. Current ad­vancements in technology improve the understanding of the pathogenesis and pathology of cancers. But, due to enlarging mortality rates, poor prognosis, and lacunae in clinical early predictive biomarkers provide an important momentum to investigate novel early diagnos­tic/prognostic markers and spec...

متن کامل

Diagnostic Utility of miRNAs in Cancer

Cancer is the one of most prevalent and leading causes of death in the world. Current ad­vancements in technology improve the understanding of the pathogenesis and pathology of cancers. But, due to enlarging mortality rates, poor prognosis, and lacunae in clinical early predictive biomarkers provide an important momentum to investigate novel early diagnos­tic/prognostic markers and spec...

متن کامل

Bioinformatics Identification of miRNA-mRNA Regulatory Network Contributing Primary Lung Cancer

Introduction: In clinical practice, distinguishing invasive lung tumors from primary tumors remains a challenge. With recent advances in understanding biological alterations of tumorigenesis and molecular analytic technologies, using these molecular alterations can be sensitive and tumor-specific as biomarker for the stratification of patients. In this study, the molecular network of miRNA-mRNA...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2016