Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy

被引:71
|
作者
Krieger, Teresa G. [1 ,2 ]
Le Blanc, Solange [3 ,4 ,5 ]
Jabs, Julia [2 ]
Ten, Foo Wei [1 ,2 ]
Ishaque, Naveed [1 ]
Jechow, Katharina [1 ,2 ]
Debnath, Olivia [1 ]
Leonhardt, Carl-Stephan [3 ]
Giri, Anamika [2 ]
Eils, Roland [1 ,2 ]
Strobel, Oliver [3 ,5 ,6 ]
Conrad, Christian [1 ,2 ]
机构
[1] Charite Univ Med Berlin, Digital Hlth Ctr, Berlin Inst Hlth BIH, Berlin, Germany
[2] German Canc Res Ctr, Div Theoret Bioinformat, Heidelberg, Germany
[3] Heidelberg Univ Hosp, Dept Gen Surg, European Pancreas Ctr, Heidelberg, Germany
[4] German Canc Res Ctr, Div Mol Oncol Gastrointestinal Tumors, Heidelberg, Germany
[5] Natl Ctr Tumor Dis NCT, Heidelberg, Germany
[6] Med Univ Vienna, Div Visceral Surg, Dept Gen Surg, Vienna, Austria
关键词
PANCREATIC DUCTAL ADENOCARCINOMA; BIOMARKERS; SUBTYPES; CANCER; TUMOR; METASTASES; AUGMENTS; SURVIVAL;
D O I
10.1038/s41467-021-26059-4
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
Pancreatic tumors are frequently divided into basal and classical subtypes. Here, the authors use single cell sequencing to investigate organoids derived from pancreatic cancer tissue and find a hierarchy of distinct cell states, and classical and basal cells existing within the same tumor. Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer mortality by 2030. Bulk transcriptomic analyses have distinguished 'classical' from 'basal-like' tumors with more aggressive clinical behavior. We derive PDAC organoids from 18 primary tumors and two matched liver metastases, and show that 'classical' and 'basal-like' cells coexist in individual organoids. By single-cell transcriptome analysis of PDAC organoids and primary PDAC, we identify distinct tumor cell states shared across patients, including a cycling progenitor cell state and a differentiated secretory state. Cell states are connected by a differentiation hierarchy, with 'classical' cells concentrated at the endpoint. In an imaging-based drug screen, expression of 'classical' subtype genes correlates with better drug response. Our results thus uncover a functional hierarchy of PDAC cell states linked to transcriptional tumor subtypes, and support the use of PDAC organoids as a clinically relevant model for in vitro studies of tumor heterogeneity.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Single cell analysis of Crohn’s disease patient-derived small intestinal organoids reveals disease activity-dependent modification of stem cell properties
    Kohei Suzuki
    Tatsuro Murano
    Hiromichi Shimizu
    Go Ito
    Toru Nakata
    Satoru Fujii
    Fumiaki Ishibashi
    Ami Kawamoto
    Sho Anzai
    Reiko Kuno
    Konomi Kuwabara
    Junichi Takahashi
    Minami Hama
    Sayaka Nagata
    Yui Hiraguri
    Kento Takenaka
    Shiro Yui
    Kiichiro Tsuchiya
    Tetsuya Nakamura
    Kazuo Ohtsuka
    Mamoru Watanabe
    Ryuichi Okamoto
    Journal of Gastroenterology, 2018, 53 : 1035 - 1047
  • [32] Single cell analysis of Crohn's disease patient-derived small intestinal organoids reveals disease activity-dependent modification of stem cell properties
    Suzuki, Kohei
    Murano, Tatsuro
    Shimizu, Hiromichi
    Ito, Go
    Nakata, Toru
    Fujii, Satoru
    Ishibashi, Fumiaki
    Kawamoto, Ami
    Anzai, Sho
    Kuno, Reiko
    Kuwabara, Konomi
    Takahashi, Junichi
    Hama, Minami
    Nagata, Sayaka
    Hiraguri, Yui
    Takenaka, Kento
    Yui, Shiro
    Tsuchiya, Kiichiro
    Nakamura, Tetsuya
    Ohtsuka, Kazuo
    Watanabe, Mamoru
    Okamoto, Ryuichi
    JOURNAL OF GASTROENTEROLOGY, 2018, 53 (09) : 1035 - 1047
  • [33] Single cell RNA-seq reveals transcriptionally distinct subpopulations within patient-derived pancreatic cancer organoids
    Ray, Mohana
    Nandi, Rajib K.
    Calvo, Isabel Romero
    Kirby, Kori
    Weber, Christopher
    Kindler, Hedy L.
    Buschmann, Mary
    Roggin, Kevin
    White, Kevin P.
    CANCER RESEARCH, 2018, 78 (13)
  • [34] Analysis of cell lineage determination processes using patient-derived colorectal organoids
    Nagayama, Satoshi
    Okamoto, Takuya
    Yao, Ryoji
    CANCER SCIENCE, 2022, 113 : 1646 - 1646
  • [35] Single-cell profiling reveals a conserved myogenic hierarchy in pediatric rhabdomyosarcomas amenable to differentiation therapy
    Danielli, Sara G.
    Porpiglia, Ermelinda
    De Micheli, Andrea J.
    Bechtold, Ingrid
    Marques, Joana G.
    Kasper, Stephanie
    Blau, Helen M.
    Wachtel, Marco
    Schafer, Beat W.
    CANCER RESEARCH, 2022, 82 (12)
  • [36] Somatic mutations in single-cell derived alveolar organoids
    Przybilla, Moritz Jakob
    Ammar, Amany
    Khaw, Ryan Chuen
    Lawson, Andrew R.
    Nicola, Pantelis
    Davies, Kate
    Frazer, Zoe
    Gowers, Kate H.
    Butler, Timothy M.
    Clarke, Sarah E.
    Martincorena, Inigo
    Janes, Sam M.
    Campbell, Peter J.
    CANCER RESEARCH, 2023, 83 (07)
  • [37] Single-cell profiling reveals subclonal vulnerabilities to therapy in patient-derived 2D and organoid models
    Monberg, Maria E.
    Pagan, Vincent B.
    Semaan, Alexander
    Lee, Jaewon J.
    Guerrero, Paola A.
    Muthuswamy, Senthil K.
    Maitra, Anirban
    CANCER RESEARCH, 2019, 79 (24)
  • [38] Single-cell RNA sequencing reveals developmental heterogeneity among early lymphoid progenitors
    Alberti-Servera, Llucia
    von Muenchow, Lilly
    Tsapogas, Panagiotis
    Capoferri, Giuseppina
    Eschbach, Katja
    Beisel, Christian
    Ceredig, Rhodri
    Ivanek, Robert
    Rolink, Antonius
    EMBO JOURNAL, 2017, 36 (24): : 3619 - 3633
  • [39] Single-cell RNA sequencing reveals developmental heterogeneity among Plasmodium berghei sporozoites
    Ruberto, Anthony A.
    Bourke, Caitlin
    Merienne, Nicolas
    Obadia, Thomas
    Amino, Rogerio
    Mueller, Ivo
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [40] Single-cell RNA sequencing reveals developmental heterogeneity among Plasmodium berghei sporozoites
    Anthony A. Ruberto
    Caitlin Bourke
    Nicolas Merienne
    Thomas Obadia
    Rogerio Amino
    Ivo Mueller
    Scientific Reports, 11