Virtual Library
Start Your Search
E. Petracci
Author of
-
+
P3.02 - Biology/Pathology (ID 620)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Biology/Pathology
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P3.02-007 - Circulating miRNAs as Prognostic Biomarkers in Resected Early-Stages Non-Small-Cell Lung Cancer (ID 8965)
09:30 - 09:30 | Author(s): E. Petracci
- Abstract
Background:
Non small cell lung cancer (NSCLC) is the primary cause of cancer-related death, and 5-years survival rate remains below 16% mainly because of disseminated disease, also in fully resected early stages. Biomarkers identifying patients with a higher risk of relapse could be very useful. Circulating microRNAs (miRNAs), represent promising markers in this setting.
Method:
A case series of 182 resected early stage (IA-IIIA) NSCLC, of which 99 adenocarcinoma (ADC) and 83 squamous cell carcinoma (SCC), was analyzed. Peripheral blood samples were collected from each patient before surgical resection and serum was obtained after centrifugation and stored at -80°C until miRNA extraction. A panel of 84 circulating miRNAs was analyzed by Real Time PCR. Data were normalized by means of an external spike in, cel-miR-39, and the mean of two most stable endogenous housekeeping chosen separately for ADC and SCC samples. miRNA expression was analyzed in relation to disease-free survival (DFS) through Cox regression model. Results are reported as hazard ratios (HRs) and 95% confidence intervals (CIs).
Result:
Of the 99 ADC, 45 (45.5%) had a relapse during the follow-up whereas among the 83 SCC patients, 50 relapses (60.2%) were observed. The minimum follow-up time was three years for both groups of patients. In the group of ADC patients, stage was significantly associated with DFS (HR stage II-IIIA vs stage I = 4.94 , 95% CI [2.71 - 9.02]). Multiple statistical analysis methods were used to analyze miRNA expression data. At univariate analysis, two miRNAs (miR-222-3p and miR-22-3p) were significantly associated with time to relapse (p = 0.033 and p = 0.041, respectively). The significance was not maintained after adjustment for multiple testing. In the group of SCC patients, stage of disease was significantly associated with DFS (HR stage II-IIIA vs stage I = 3.31, 95% CI [1.74 - 6.33]). Five miRNAs (let-7a-5p, miR-126-3p, miR-26a-5p, miR-130b-3p, miR-21-5p) were found significantly associated with DFS even after adjustment for multiple testing false discovery rate q-value <0.001.
Conclusion:
Pre-surgery circulating levels of let-7a-5p, miR-126-3p, miR-26a-5p, miR-130b-3p and miR-21-5p seem to be significantly correlated with prognosis in resected early stage SCC patients.