Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma

被引:32
|
作者
Yerly, Laura [1 ]
Pich-Bavastro, Christine [1 ]
Di Domizio, Jeremy [1 ]
Wyss, Tania [2 ]
Tissot-Renaud, Stephanie [3 ]
Cangkrama, Michael [4 ]
Gilliet, Michel [1 ]
Werner, Sabine [4 ]
Kuonen, Francois [1 ]
机构
[1] Lausanne Univ Hosp Ctr, Dept Dermatol & Venereol, Hop Beaumont, CH-1011 Lausanne, Switzerland
[2] Swiss Inst Bioinformat, Quartier UniL Sorge, Bioinformat Core Facil BCF, Batiment Amphipole, CH-1015 Lausanne, Switzerland
[3] Lausanne Univ Hosp Ctr, Ctr Expt Therapeut, Dept Oncol, Immune Landscape Lab, CH-1011 Lausanne, Switzerland
[4] Swiss Fed Inst Technol, Dept Biol, Inst Mol Hlth Sci, CH-8093 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
CANCER INVASION; SCAR FORMATION; MIGRATION; BIOLOGY; RADIOTHERAPY; EXPRESSION; PLASTICITY; ACTIVIN; REPAIR; ROLES;
D O I
10.1038/s41467-022-32670-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tumors invade the surrounding tissues to progress, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insight required for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics on human basal cell carcinomas, we define the cellular contributors of tumor progression. In the invasive niche, tumor cells exhibit a collective migration phenotype, characterized by the expression of cell-cell junction complexes. In physical proximity, we identify cancer-associated fibroblasts with extracellular matrix-remodeling features. Tumor cells strongly express the cytokine Activin A, and increased Activin A-induced gene signature is found in adjacent cancer-associated fibroblast subpopulations. Altogether, our data identify the cell populations and their transcriptional reprogramming contributing to the spatial organization of the basal cell carcinoma invasive niche. They also demonstrate the power of integrated spatial and single-cell multi-omics to decipher cancer-specific invasive properties and develop targeted therapies. The role of reciprocal tumour-stroma interactions in tumour invasion remains poorly characterised. Here, single-cell and spatial transcriptomics identifies the cell populations and their transcriptional reprogramming contributing to the spatial organization of the basal cell carcinoma invasive niche.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Multi-omics analysis at epigenomics and transcriptomics levels reveals prognostic subtypes of lung squamous cell carcinoma
    Xu, Yong
    She, Yunlang
    Li, Yaqiang
    Li, Hao
    Jia, Zihao
    Jiang, Gening
    Liang, Leilei
    Duan, Liang
    BIOMEDICINE & PHARMACOTHERAPY, 2020, 125
  • [42] Integrated multi-omics unraveled a basal cell-dependent signature predictor of outcome and immunotherapy response in LUSC
    Jia, Jianlong
    Liu, Ruonan
    Deng, Benteng
    Guo, Xuanze
    Trassl, Lilith
    Giotopoulou, Georgia
    Behrend, Sabine
    Liu, Yang
    Yildirim, Ali
    Stathopoulos, Georgios
    Schamberger, Andrea
    Fernandez, Isis
    EUROPEAN RESPIRATORY JOURNAL, 2023, 62
  • [43] INTEGRATIVE MULTI-OMICS PROFILING IN PENILE SQUAMOUS CELL CARCINOMA
    Shaw, Timothy
    Obermayer, Alyssa
    Ercan, Dalia
    Stewart, Paul
    Chahoud, Jad
    Johnstone, Peter
    Spiess, Philippe
    Eschrich, Steven
    Grass, Daniel
    JOURNAL OF UROLOGY, 2023, 209 : E689 - E689
  • [44] Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
    Dimitrakopoulos, Christos
    Hindupur, Sravanth Kumar
    Colombi, Marco
    Liko, Dritan
    Ng, Charlotte K. Y.
    Piscuoglio, Salvatore
    Behr, Jonas
    Moore, Ariane L.
    Singer, Jochen
    Ruscheweyh, Hans-Joachim
    Matter, Matthias S.
    Mossmann, Dirk
    Terracciano, Luigi M.
    Hall, Michael N.
    Beerenwinkel, Niko
    BMC GENOMICS, 2021, 22 (01)
  • [45] An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
    Lindskrog, Sia Viborg
    Prip, Frederik
    Lamy, Philippe
    Taber, Ann
    Groeneveld, Clarice S.
    Birkenkamp-Demtroder, Karin
    Jensen, Jorgen Bjerggaard
    Strandgaard, Trine
    Nordentoft, Iver
    Christensen, Emil
    Sokac, Mateo
    Birkbak, Nicolai J.
    Maretty, Lasse
    Hermann, Gregers G.
    Petersen, Astrid C.
    Weyerer, Veronika
    Grimm, Marc-Oliver
    Horstmann, Marcus
    Sjodahl, Gottfrid
    Hoglund, Mattias
    Steiniche, Torben
    Mogensen, Karin
    de Reynies, Aurelien
    Nawroth, Roman
    Jordan, Brian
    Lin, Xiaoqi
    Dragicevic, Dejan
    Ward, Douglas G.
    Goel, Anshita
    Hurst, Carolyn D.
    Raman, Jay D.
    Warrick, Joshua, I
    Segersten, Ulrika
    Sikic, Danijel
    van Kessel, Kim E. M.
    Maurer, Tobias
    Meeks, Joshua J.
    DeGraff, David J.
    Bryan, Richard T.
    Knowles, Margaret A.
    Simic, Tatjana
    Hartmann, Arndt
    Zwarthoff, Ellen C.
    Malmstrom, Per-Uno
    Malats, Nuria
    Real, Francisco X.
    Dyrskjot, Lars
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [46] Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
    Christos Dimitrakopoulos
    Sravanth Kumar Hindupur
    Marco Colombi
    Dritan Liko
    Charlotte K. Y. Ng
    Salvatore Piscuoglio
    Jonas Behr
    Ariane L. Moore
    Jochen Singer
    Hans-Joachim Ruscheweyh
    Matthias S. Matter
    Dirk Mossmann
    Luigi M. Terracciano
    Michael N. Hall
    Niko Beerenwinkel
    BMC Genomics, 22
  • [47] Multi-omics characterization of esophageal squamous cell carcinoma identifies molecular subtypes and therapeutic targets
    Zhao, Dengyun
    Guo, Yaping
    Wei, Huifang
    Jia, Xuechao
    Zhi, Yafei
    He, Guiliang
    Nie, Wenna
    Huang, Limeng
    Wang, Penglei
    Laster, Kyle Vaughn
    Liu, Zhicai
    Wang, Jinwu
    Lee, Mee-Hyun
    Dong, Zigang
    Liu, Kangdong
    JCI INSIGHT, 2024, 9 (10)
  • [48] An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
    Sia Viborg Lindskrog
    Frederik Prip
    Philippe Lamy
    Ann Taber
    Clarice S. Groeneveld
    Karin Birkenkamp-Demtröder
    Jørgen Bjerggaard Jensen
    Trine Strandgaard
    Iver Nordentoft
    Emil Christensen
    Mateo Sokac
    Nicolai J. Birkbak
    Lasse Maretty
    Gregers G. Hermann
    Astrid C. Petersen
    Veronika Weyerer
    Marc-Oliver Grimm
    Marcus Horstmann
    Gottfrid Sjödahl
    Mattias Höglund
    Torben Steiniche
    Karin Mogensen
    Aurélien de Reyniès
    Roman Nawroth
    Brian Jordan
    Xiaoqi Lin
    Dejan Dragicevic
    Douglas G. Ward
    Anshita Goel
    Carolyn D. Hurst
    Jay D. Raman
    Joshua I. Warrick
    Ulrika Segersten
    Danijel Sikic
    Kim E. M. van Kessel
    Tobias Maurer
    Joshua J. Meeks
    David J. DeGraff
    Richard T. Bryan
    Margaret A. Knowles
    Tatjana Simic
    Arndt Hartmann
    Ellen C. Zwarthoff
    Per-Uno Malmström
    Núria Malats
    Francisco X. Real
    Lars Dyrskjøt
    Nature Communications, 12
  • [49] Integrated multi-omics analysis revealed the molecular networks and potential targets of cellular senescence in Alzheimer's disease
    Xu, Yudi
    Liu, Shutong
    Zhou, Zhaokai
    Qin, Hongzhuo
    Zhang, Yuyuan
    Zhang, Ge
    Ma, Hongxuan
    Han, Xinwei
    Liu, Huimin
    Liu, Zaoqu
    HUMAN MOLECULAR GENETICS, 2024, 34 (05) : 381 - 391
  • [50] Comprehensive molecular characteristics of hepatocellular carcinoma based on multi-omics analysis
    Wang, Ying-Ying
    Yang, Wan-Xia
    Cai, Jiang-Ying
    Wang, Fang-Fang
    You, Chong-Ge
    BMC CANCER, 2025, 25 (01)