Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients' blood

被引:15
|
作者
Tao, Yuhuan [1 ,2 ]
Xing, Shaozhen [1 ,2 ]
Zuo, Shuai [3 ]
Bao, Pengfei [1 ,2 ]
Jin, Yunfan [1 ,2 ]
Li, Yu [1 ,2 ]
Li, Mingyang [1 ,2 ,8 ,9 ]
Wu, Yingchao [3 ]
Chen, Shanwen [3 ]
Wang, Xiaojuan [2 ,4 ]
Zhu, Yumin [5 ]
Feng, Ying [6 ]
Zhang, Xiaohua [6 ]
Wang, Xianbo [6 ]
Xi, Qiaoran [7 ]
Lu, Qian [2 ,4 ]
Wang, Pengyuan [3 ]
Lu, Zhi John [1 ,2 ]
机构
[1] Tsinghua Univ, Ctr Synthet & Syst Biol, Sch Life Sci, MOE Key Lab Bioinformat, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Inst Precis Med, Beijing 100084, Peoples R China
[3] Peking Univ First Hosp, Gastro Intestinal Surg, Beijing 100034, Peoples R China
[4] Tsinghua Univ, Beijing Tsinghua Changgung Hosp, Hepatopancreatobiliary Ctr, 168,Litang Rd, Beijing 102218, Peoples R China
[5] Nanjing Univ, Med Sch, Nanjing 210093, Jiangsu, Peoples R China
[6] Capital Med Univ, Beijing Ditan Hosp, Dept Integrat Med, Beijing 100015, Peoples R China
[7] Tsinghua Univ, Sch Life Sci, MOE Key Lab Prot Sci, State Key Lab Mol Oncol, Beijing 100084, Peoples R China
[8] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[9] Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
RNA-SEQ; NONCODING RNAS; PAN-CANCER; LANDSCAPE; DATABASE; PACKAGE; QUANTIFICATION; IDENTIFIERS; TISSUES; ROBUST;
D O I
10.1016/j.xcrm.2023.101281
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
During cancer progression, tumorigenic and immune signals are spread through circulating molecules, such as cell-free DNA (cfDNA) and cell-free RNA (cfRNA) in the blood. So far, they have not been comprehensively investigated in gastrointestinal cancers. Here, we profile 4 categories of cell-free omics data from patients with colorectal cancer and patients with stomach adenocarcinoma and then assay 15 types of genomic, epi-genomic, and transcriptomic variations. We find that multi-omics data are more appropriate for detection of cancer genes compared with single-omics data. In particular, cfRNAs are more sensitive and informative than cfDNAs in terms of detection rate, enriched functional pathways, etc. Moreover, we identify several periph-eral immune signatures that are suppressed in patients with cancer. Specifically, we establish a gd-T cell score and a cancer-associated-fibroblast (CAF) score, providing insights into clinical statuses like cancer stage and survival. Overall, we reveal a cell-free multi-molecular landscape that is useful for blood monitoring in personalized cancer treatment.
引用
收藏
页数:19
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