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

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Zhou, Jianya ; Zhao, Jing ; Zheng, Jing ; Kong, Mei ; Sun, Ke ; Wang, Bo ; Chen, Xi ; Ding, Wei ; Zhou, Jianying (2016)
  • Publisher: Public Library of Science
  • Journal: PLoS ONE, volume 11, issue 9 (issn: 1932-6203, eissn: 1932-6203)
  • Related identifiers: pmc: PMC5029801, doi: 10.1371/journal.pone.0161861
  • Subject: Research Article | Mathematics | Anatomy | Staining | Mathematical and Statistical Techniques | Oncology | Cytoplasmic Staining | Physical Sciences | Metastatic Tumors | Histology | Carcinomas | Lung and Intrathoracic Tumors | Cancers and Neoplasms | Immunohistochemistry Techniques | Non-Small Cell Lung Cancer | Statistics (Mathematics) | Biology and Life Sciences | Adenocarcinoma of the Lung | Forecasting | Research and Analysis Methods | Medicine | Immunologic Techniques | Adenocarcinomas | Specimen Preparation and Treatment | Q | R | Histochemistry and Cytochemistry Techniques | Science | Medicine and Health Sciences | Statistical Methods

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, the acinar-predominant growth pattern was the most commonly observed (57%, 8/14), while in the biopsy group, solid patterns were the most frequently observed (78%, 7/13). Based on multiple logistic regression analysis, we determined that female sex, cribriform structure and the presence of psammoma body were the three most powerful indicators of ROS1 rearrangement, and we have developed a predictive model for the presence of ROS1 rearrangements in lung adenocarcinomas. Conclusions Female, cribriform structure and presence of psammoma body were the three most powerful indicator of ROS1 rearrangement status, and predictive formula was helpful in screening ROS1-rearranged NSCLC, especially for ROS1 immunochemistry equivocal cases.
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