Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma
Abstract
Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for precise diagnosis and prognosis of OAL are in demand. Here, the nanoparticle-enhanced laser desorption/ionization mass spectrometry was applied for the construction of OAL-associated serum metabolic patterns (SMPs) from 239 participants (104 OAL and 135 non-OAL). Through machine learning, the diagnostic performance with an area-under-the-curve (AUC) of 0.901 was achieved for OAL based on SMPs. Furthermore, a diagnostic metabolic panel was constructed with an AUC of 0.875. Moreover, a prognosis scoring system was built and its desirable prediction efficacy for progression-free survival of OAL was confirmed ( P < 0.05). Specifically, the decreased serum alanine level was found to play both vital roles in the diagnosis and prognosis of OAL, and we demonstrated that uptake of alanine promotes glycolysis and cell growth in lymphoma cells. Our study highlights the value of the serum metabolite biomarkers in the clinical management of OAL.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (17)
Yida Huang
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Huimin Lin
Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine
Jiahao Shi
Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine
Yifan Chen
Qi Sang
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Ruimin Wang
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Wanshan Liu
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Jiao Wu
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Yanyan Li
Department of Chemical Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Xiaoyu Xu
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Chunmeng Ding
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Shouzhi Yang
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Juxiang Zhang
State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University
Renbing Jia
Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine
Xianqun Fan
Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine
Kun Qian
Dongguan Key Laboratory of Interdisciplinary Science for Advanced Materials and Large-Scale Scientific Facilities, School of Physical Sciences
Yixiong Zhou
Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine