Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas

被引:14
|
作者
Yang, Jingwei [1 ,2 ]
Zhou, Xin [1 ,3 ]
Dong, Ji [4 ]
Wang, Wendong [1 ,5 ]
Lu, Yongqu [1 ,3 ]
Gao, Yuan [1 ,2 ,6 ,7 ]
Zhang, Yu [1 ,2 ]
Mao, Yunuo [1 ,2 ]
Gao, Junpeng [1 ,2 ]
Wang, Wei [1 ,2 ]
Li, Qingqing [1 ,2 ]
Gao, Shuai [8 ]
Wen, Lu [1 ,2 ]
Fu, Wei [1 ,3 ]
Tang, Fuchou [1 ,2 ,6 ,7 ]
机构
[1] Peking Univ, Hosp 3, Biomed Pioneering Innovat Ctr, Sch Life Sci,Dept Gen Surg, Beijing, Peoples R China
[2] Beijing Adv Innovat Ctr Genom ICG, Minist Educ, Key Lab Cell Proliferat & Differentiat, Beijing, Peoples R China
[3] Peking Univ, Hosp 3, Canc Ctr, Beijing, Peoples R China
[4] Guangzhou Lab, Guangzhou, Guangdong, Peoples R China
[5] Zhengzhou Univ, Dept Breast Surg, Affiliated Hosp 1, Zhengzhou, Henan, Peoples R China
[6] Peking Univ, Acad Adv Interdisciplinary Studies, Beijing, Peoples R China
[7] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing, Peoples R China
[8] China Agr Univ, Coll Anim Sci & Technol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
MESENCHYMAL TRANSITION; SENSITIVITY; EXPRESSION; MUC1; DISCOVERY; PATHWAY;
D O I
10.1038/s41421-022-00434-x
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Small bowel adenocarcinomas (SBAs) are rare malignant tumors with a high mortality rate, and their molecular characteristics are still largely unexplored. Here we performed single-cell RNA sequencing for tumor samples from 12 SBA patients and predicted drug candidates for SBA. We identified four prevalent subtypes of malignant cells with distinct signatures including cell cycle program, mitochondria program, metabolism program and epithelial-mesenchymal transition (EMT) program. The progression relationships of these four subtypes of malignant cells were also revealed, which started from the cell cycle program, through the mitochondria program and then progressing into either the metabolism program or the EMT program. Importantly, ligand-receptor interaction pairs were found to be specifically enriched in pairs of EMT-program malignant cells and highly exhausted CD8(+) T cells, suggesting that cancer cell subpopulations with EMT features may contribute most to the exhaustion of T cells. We also showed that the duodenal subtype of SBA exhibited molecular features more similar to gastric cancer whereas jejunal subtype of SBA more similar to colorectal cancer. Especially, we predicted specific drugs for SBA based on differential gene expression signatures between malignant cells and normal epithelial cells of SBA, and verified more potent inhibitory effects of volasertib and tozasertib for SBA cancer cells than conventional drugs of SBA at the same concentration, which provides new clues for treatments of SBA. In summary, our study provides a blueprint of the molecular signatures of both tumor cells and tumor microenvironment cells in SBA and reveals potential targets and drug candidates for its clinical treatments.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Single-cell characterization of malignant phenotypes and microenvironment alteration in retinoblastoma
    Cheng Wu
    Jiaqi Yang
    Wei Xiao
    Zehang Jiang
    Shuxia Chen
    Dianlei Guo
    Ping Zhang
    Chunqiao Liu
    Huasheng Yang
    Zhi Xie
    Cell Death & Disease, 13
  • [22] Single-cell characterization of malignant phenotypes and microenvironment alteration in retinoblastoma
    Wu, Cheng
    Yang, Jiaqi
    Xiao, Wei
    Jiang, Zehang
    Chen, Shuxia
    Guo, Dianlei
    Zhang, Ping
    Liu, Chunqiao
    Yang, Huasheng
    Xie, Zhi
    CELL DEATH & DISEASE, 2022, 13 (05)
  • [23] Spatial multi-omics profiling of tumor cell phenotypes in primary cutaneous melanoma at single-cell resolution
    Vallius, Tuulia
    Novikov, Edward
    Johnson, Ajit Nirmal
    Shi Yingxiao
    Pelletier, Roxanne
    Pant, Shishir
    Maliga, Zoltan
    Chen, Alyce
    Yapp, Clarence
    Chan, Sabrina
    Lian, Christine
    Murphy, George F.
    Santagata, Sandro
    Sorger, Peter
    CANCER RESEARCH, 2024, 84 (06)
  • [24] Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma
    Xiang, Xuesong
    Tao, Xiang
    Hua, Keqin
    Jiang, Hua
    Ding, Jingxin
    COMMUNICATIONS BIOLOGY, 2025, 8 (01)
  • [25] Single-Cell profiling reveals aggressive tumor subcluster and compromised immune state in multiple myeloma
    Sun, Hao
    Gong, Lixin
    Fang, Teng
    Yu, Zhen
    Liu, Lanting
    Wang, Tingyu
    An, Gang
    Qiu, Lugui
    Hao, Mu
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2023, 23 : S269 - S269
  • [26] Single-cell transcriptomics reveals the molecular basis of human iPS cell differentiation into ectodermal ocular lineages
    Howard, Laura
    Ishikawa, Yuki
    Katayama, Tomohiko
    Park, Sung-Joon
    Hill, Matthew J.
    Blake, Derek J.
    Nishida, Kohji
    Hayashi, Ryuhei
    Quantock, Andrew J.
    COMMUNICATIONS BIOLOGY, 2024, 7 (01)
  • [27] Single-cell RNA sequencing reveals spatiotemporal heterogeneity and malignant progression in pancreatic neuroendocrine tumor
    Zhou, Yu
    Liu, Siyang
    Liu, Chao
    Yang, Jiabin
    Lin, Qing
    Zheng, Shangyou
    Chen, Changhao
    Zhou, Quanbo
    Chen, Rufu
    INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2021, 17 (14): : 3760 - 3775
  • [28] Ultrafast Single-Cell Level Enzymatic Tumor Profiling
    Ng, Ee Xien
    Sun, Guoyun
    Wei, Shih-Chung
    Miller, Miles A.
    DasGupta, Ramanuj
    Lam, Paula Yeng Po
    Chen, Chia-Hung
    ANALYTICAL CHEMISTRY, 2019, 91 (02) : 1277 - 1285
  • [29] Single-cell profiling approaches to probing tumor heterogeneity
    Khoo, Bee Luan
    Chaudhuri, Parthiv Kant
    Ramalingam, Naveen
    Tan, Daniel Shao Weng
    Lim, Chwee Teck
    Warkiani, Majid Ebrahimi
    INTERNATIONAL JOURNAL OF CANCER, 2016, 139 (02) : 243 - 255
  • [30] Single-Cell Molecular Profiling of Head and Neck Squamous Cell Carcinoma Reveals Five Dysregulated Signaling Pathways Associated With Circulating Tumor Cells
    Stucky, Andres
    Viet, Chi T.
    Aouizerat, Bradley E.
    Ye, Yi
    Doan, Coleen
    Mundluru, Tarun
    Sedhiazadeh, Parish
    Sinha, Uttam K.
    Chen, Xuelian
    Zhang, Xi
    Li, Shengwen Calvin
    Cai, Jin
    Zhong, Jiang F.
    CANCER CONTROL, 2024, 31