Abstract

Objective: To verify the value of whole genomic copy number variation (WGCNV) detection and scoring system in the diagnosis and prognosis of lung adenocarcinoma. Methods: Seventy-six lung adenocarcinoma specimens including ninety-one tumor samples and twenty adjacent non-tumor lung tissue samples were collected using Laser capture microdissection (LCM). Whole genomic amplification (WGA) was used to enrich DNA and construct a sequencing library for next generation sequencing (NGS). Changes of larger than 5Mb CNV in this study were analyzed and scored. The nuclear grading and score of tumor cells in the surgery and pleural effusion cytology of lung adenocarcinoma specimens were evaluated separately. For each case, we evaluated (1) nuclear size, (2) mitotic counts, (3) nuclear atypia, (4) atypical mitoses. The data of disease-free survive (DFS) and overall survive (OS) were collected for assessing the prognostic value of WGCNV score. Meanwhile, receiver operating characteristic (ROC) and area under curve (AUC) were used to define a cut-off value and evaluate the diagnostic significance in lung adenocarcinoma. Results: The WGCNV scores of twenty adjacent non-tumor lung tissue samples were treated as normal control and all of WGCNV scores of tumor samples range from 0 to 9.95, the median score was 2.7. The WGCNV scores were divided into three groups: low score group <1.74, medium score grade 1.74~4.23, high score grade >4.23. The WGCNV score was positively associated with the nuclear grade scoring (r=0.780 90, P<0.001). The result for evaluation of prognostic value of the WGCNV scores showed that comparing with low WGCNV score group, Hazard Ratio (HR) of medium score group was 4.11 (95%CI=0.72~23.57) and high score group was 2.07 (95%CI=0.30~14.12). These results suggested that the risks of the medium and high WGCNV score group elevated. According to the analysis results of ROC curve, when the cut off value was 0.01, the sensitivity and specificity for lung adenocarcinoma diagnosis were 97.8% and 95.0% respectively, the positive predictive value (PPV) and negative predictive value (NPV) were 99.0% and 90.1%, respectively, the AUC was 0.981. In the differentiation of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) group and invasive adenocarcinoma group, when the cut off value was 1.8, the sensitivity and specificity between the two groups were 78.1% and 94.4%, and the PPV and NPV were 98.0% and 52.0%, respectively, the AUC was 0.896. Conclusion: This study verifies that WGCNV scoring system has a potential diagnostic and prognostic value in lung adenocarcinoma.

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