Literature DB >> 35931863

Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment.

Dalia Barkley1, Reuben Moncada1, Maayan Pour1, Deborah A Liberman1, Ian Dryg2, Gregor Werba3,4, Wei Wang3,4, Maayan Baron1, Anjali Rao1, Bo Xia1, Gustavo S França1, Alejandro Weil4, Deborah F Delair4, Cristina Hajdu4, Amanda W Lund2,3,5, Iman Osman2,4,5, Itai Yanai6,7.   

Abstract

Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Here, we perform a pan-cancer single-cell RNA-sequencing analysis across 15 cancer types and identify a catalog of gene modules whose expression defines recurrent cancer cell states including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Spatial transcriptomic analysis linked the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Using mouse models, we further found that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance and metastasis.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2022        PMID: 35931863     DOI: 10.1038/s41588-022-01141-9

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   41.307


  90 in total

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Authors:  Nicholas McGranahan; Charles Swanton
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

2.  Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas.

Authors:  Reuben Moncada; Dalia Barkley; Florian Wagner; Marta Chiodin; Joseph C Devlin; Maayan Baron; Cristina H Hajdu; Diane M Simeone; Itai Yanai
Journal:  Nat Biotechnol       Date:  2020-01-13       Impact factor: 54.908

3.  Tumor heterogeneity: biological implications and therapeutic consequences.

Authors:  G H Heppner; B E Miller
Journal:  Cancer Metastasis Rev       Date:  1983       Impact factor: 9.264

4.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

Review 5.  Cancer epigenetics: tumor heterogeneity, plasticity of stem-like states, and drug resistance.

Authors:  Hariharan Easwaran; Hsing-Chen Tsai; Stephen B Baylin
Journal:  Mol Cell       Date:  2014-06-05       Impact factor: 17.970

Review 6.  Tumor heterogeneity: causes and consequences.

Authors:  Andriy Marusyk; Kornelia Polyak
Journal:  Biochim Biophys Acta       Date:  2009-11-18

7.  The Stress-Like Cancer Cell State Is a Consistent Component of Tumorigenesis.

Authors:  Maayan Baron; Mohita Tagore; Miranda V Hunter; Isabella S Kim; Reuben Moncada; Yun Yan; Nathaniel R Campbell; Richard M White; Itai Yanai
Journal:  Cell Syst       Date:  2020-09-09       Impact factor: 10.304

8.  Toward understanding and exploiting tumor heterogeneity.

Authors:  Ash A Alizadeh; Victoria Aranda; Alberto Bardelli; Cedric Blanpain; Christoph Bock; Christine Borowski; Carlos Caldas; Andrea Califano; Michael Doherty; Markus Elsner; Manel Esteller; Rebecca Fitzgerald; Jan O Korbel; Peter Lichter; Christopher E Mason; Nicholas Navin; Dana Pe'er; Kornelia Polyak; Charles W M Roberts; Lillian Siu; Alexandra Snyder; Hannah Stower; Charles Swanton; Roel G W Verhaak; Jean C Zenklusen; Johannes Zuber; Jessica Zucman-Rossi
Journal:  Nat Med       Date:  2015-08       Impact factor: 53.440

9.  An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma.

Authors:  Cyril Neftel; Julie Laffy; Mariella G Filbin; Toshiro Hara; Marni E Shore; Gilbert J Rahme; Alyssa R Richman; Dana Silverbush; McKenzie L Shaw; Christine M Hebert; John Dewitt; Simon Gritsch; Elizabeth M Perez; L Nicolas Gonzalez Castro; Xiaoyang Lan; Nicholas Druck; Christopher Rodman; Danielle Dionne; Alexander Kaplan; Mia S Bertalan; Julia Small; Kristine Pelton; Sarah Becker; Dennis Bonal; Quang-De Nguyen; Rachel L Servis; Jeremy M Fung; Ravindra Mylvaganam; Lisa Mayr; Johannes Gojo; Christine Haberler; Rene Geyeregger; Thomas Czech; Irene Slavc; Brian V Nahed; William T Curry; Bob S Carter; Hiroaki Wakimoto; Priscilla K Brastianos; Tracy T Batchelor; Anat Stemmer-Rachamimov; Maria Martinez-Lage; Matthew P Frosch; Ivan Stamenkovic; Nicolo Riggi; Esther Rheinbay; Michelle Monje; Orit Rozenblatt-Rosen; Daniel P Cahill; Anoop P Patel; Tony Hunter; Inder M Verma; Keith L Ligon; David N Louis; Aviv Regev; Bradley E Bernstein; Itay Tirosh; Mario L Suvà
Journal:  Cell       Date:  2019-07-18       Impact factor: 41.582

10.  Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.

Authors:  Sidharth V Puram; Itay Tirosh; Anuraag S Parikh; Anoop P Patel; Keren Yizhak; Shawn Gillespie; Christopher Rodman; Christina L Luo; Edmund A Mroz; Kevin S Emerick; Daniel G Deschler; Mark A Varvares; Ravi Mylvaganam; Orit Rozenblatt-Rosen; James W Rocco; William C Faquin; Derrick T Lin; Aviv Regev; Bradley E Bernstein
Journal:  Cell       Date:  2017-11-30       Impact factor: 41.582

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  1 in total

Review 1.  Multiplexed In Situ Spatial Protein Profiling in the Pursuit of Precision Immuno-Oncology for Patients with Breast Cancer.

Authors:  Davide Massa; Anna Tosi; Antonio Rosato; Valentina Guarneri; Maria Vittoria Dieci
Journal:  Cancers (Basel)       Date:  2022-10-06       Impact factor: 6.575

  1 in total

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