Early diagnosis of brain metastases using cerebrospinal fluid cell‐free DNA‐based breakpoint motif and mutational features in lung cancer.
- Resource Type
- Article
- Authors
- Qin, Xueting; Bai, Yujun; Zhou, Shizhen; Shi, Hongjin; Liu, Xiaoli; Wang, Song; Wu, Xiaoying; Pang, Jiaohui; Song, Xi; Fan, Xiaojun; Ou, Qiuxiang; Xu, Yang; Bao, Hua; Li, Li; Li, Jun; Shao, Yang; Yuan, Shuanghu
- Source
- Clinical & Translational Medicine. Mar2023, Vol. 13 Issue 3, p1-6. 6p.
- Subject
- *CEREBROSPINAL fluid examination
*LUNGS
*CEREBROSPINAL fluid
*BRAIN metastasis
*LUNG cancer
*SMOKING statistics
*EARLY diagnosis
*LOGISTIC regression analysis
- Language
- ISSN
- 2001-1326
(A) ROC curves evaluating the performance of brain metastases (BM) predictive models (BPM and integrated) in distinguishing BM-positive patients from BM-negative patients in the training cohort (N = 70). Early diagnosis of brain metastases using cerebrospinal fluid cell-free DNA-based breakpoint motif and mutational features in lung cancer (A) Receiver operating characteristics (ROC) curves evaluating the performance of brain metastases (BM) predictive models in distinguishing BM-positive patients from BM-negative patients in the testing cohort (N = 11). In this study, we developed a sensitive machine learning model with a remarkable capacity to predict brain metastases (BM) in lung cancer patients using the breakpoint motif (BPM) features in cerebrospinal fluid (CSF) circulating tumour DNA (ctDNA). [Extracted from the article]