Hua Zhang, Lin Zhao, Jingjing Jiang, Jie Zheng, Li Yang, Yanyan Li, Jian Zhou, Tianshu Liu, Jianmin Xu, Wenhui Lou, Weige Yang, Lijie Tan, Weiren Liu, Yiyi Yu, Meiling Ji, Yaolin Xu, Yan Lu, Xiaomu Li, Zhen Liu, Rong Tian, Cheng Hu, Shumang Zhang, Qinsheng Hu, Yangdong Deng, Hao Ying, Sheng Zhong, Xingdong Zhang, Yunbing Wang, Hua Wang, Jingwei Bai, Xiaoying Li, Xiangfeng Duan
As cancer is increasingly considered a metabolic disorder, it is postulated that serum metabolite profiling can be a viable approach for detecting the presence of cancer. By multiplexing mass spectrometry fingerprints from two independent nanostructured matrixes through machine learning for highly sensitive detection and high throughput analysis, we report a laser desorption/ionization (LDI) mass spectrometry-based liquid biopsy for pan-cancer screening and classification. The Multiplexed Nanomaterial-Assisted LDI for Cancer Identification (MNALCI) is applied in 1,183 individuals that include 233 healthy controls and 950 patients with liver, lung, pancreatic, colorectal, gastric, thyroid cancers from two independent cohorts...
February 1, 2022: Nature Communications