A Prediction Model for ROS1-Rearranged Lung Adenocarcinomas based on Histologic Features.

ABSTRACT:

Aims

To identify the clinical and histological characteristics of ROS1-rearranged non-small-cell lung carcinomas (NSCLCs) and build a prediction model to prescreen suitable patients for molecular testing.

Methods and results

We identified 27 cases of ROS1-rearranged lung adenocarcinomas in 1165 patients with NSCLCs confirmed by real-time PCR and FISH and performed univariate and multivariate analyses to identify predictive factors associated with ROS1 rearrangement and finally developed prediction model. Detected with ROS1 immunochemistry, 59 cases of 1165 patients had a certain degree of ROS1 expression. Among these cases, 19 cases (68%, 19/28) with 3+ and 8 cases (47%, 8/17) with 2+ staining were ROS1 rearrangement verified by real-time PCR and FISH. In the resected group,

SUBMITTER: Zhou J 

PROVIDER: S-EPMC5029801 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature