IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-27220-9.html
   My bibliography  Save this article

Compressive stress-mediated p38 activation required for ERα + phenotype in breast cancer

Author

Listed:
  • Pauliina M. Munne

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Lahja Martikainen

    (Aalto University School of Science)

  • Iiris Räty

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Kia Bertula

    (Aalto University School of Science)

  • Nonappa

    (Aalto University School of Science
    Aalto University School of Chemical Engineering)

  • Janika Ruuska

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Hanna Ala-Hongisto

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Aino Peura

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Babette Hollmann

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Lilya Euro

    (Biomedicum Helsinki, University of Helsinki)

  • Kerim Yavuz

    (University of Helsinki)

  • Linda Patrikainen

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Maria Salmela

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Juho Pokki

    (Aalto University)

  • Mikko Kivento

    (University of Helsinki)

  • Juho Väänänen

    (University of Helsinki)

  • Tomi Suomi

    (University of Turku and Åbo Akademi University)

  • Liina Nevalaita

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Minna Mutka

    (Helsinki University Central Hospital and University of Helsinki)

  • Panu Kovanen

    (Helsinki University Central Hospital and University of Helsinki)

  • Marjut Leidenius

    (Helsinki University Central Hospital)

  • Tuomo Meretoja

    (Helsinki University Central Hospital)

  • Katja Hukkinen

    (Helsinki University Central Hospital)

  • Outi Monni

    (University of Helsinki)

  • Jeroen Pouwels

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

  • Biswajyoti Sahu

    (University of Helsinki)

  • Johanna Mattson

    (University of Helsinki & Helsinki University Hospital)

  • Heikki Joensuu

    (University of Helsinki & Helsinki University Hospital)

  • Päivi Heikkilä

    (Helsinki University Central Hospital and University of Helsinki)

  • Laura L. Elo

    (University of Turku and Åbo Akademi University)

  • Ciara Metcalfe

    (Genentech Inc.)

  • Melissa R. Junttila

    (Genentech Inc.)

  • Olli Ikkala

    (Aalto University School of Science
    Aalto University School of Chemical Engineering)

  • Juha Klefström

    (University of Helsinki. Cancer Cell Circuitry Laboratory, PO Box 63 Haartmaninkatu 8, 00014 University of Helsinki)

Abstract

Breast cancer is now globally the most frequent cancer and leading cause of women’s death. Two thirds of breast cancers express the luminal estrogen receptor-positive (ERα + ) phenotype that is initially responsive to antihormonal therapies, but drug resistance emerges. A major barrier to the understanding of the ERα-pathway biology and therapeutic discoveries is the restricted repertoire of luminal ERα + breast cancer models. The ERα + phenotype is not stable in cultured cells for reasons not fully understood. We examine 400 patient-derived breast epithelial and breast cancer explant cultures (PDECs) grown in various three-dimensional matrix scaffolds, finding that ERα is primarily regulated by the matrix stiffness. Matrix stiffness upregulates the ERα signaling via stress-mediated p38 activation and H3K27me3-mediated epigenetic regulation. The finding that the matrix stiffness is a central cue to the ERα phenotype reveals a mechanobiological component in breast tissue hormonal signaling and enables the development of novel therapeutic interventions. Subject terms: ER-positive (ER + ), breast cancer, ex vivo model, preclinical model, PDEC, stiffness, p38 SAPK.

Suggested Citation

  • Pauliina M. Munne & Lahja Martikainen & Iiris Räty & Kia Bertula & Nonappa & Janika Ruuska & Hanna Ala-Hongisto & Aino Peura & Babette Hollmann & Lilya Euro & Kerim Yavuz & Linda Patrikainen & Maria S, 2021. "Compressive stress-mediated p38 activation required for ERα + phenotype in breast cancer," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27220-9
    DOI: 10.1038/s41467-021-27220-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-27220-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-27220-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael T. McCabe & Heidi M. Ott & Gopinath Ganji & Susan Korenchuk & Christine Thompson & Glenn S. Van Aller & Yan Liu & Alan P. Graves & Anthony Della Pietra III & Elsie Diaz & Louis V. LaFrance & M, 2012. "EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations," Nature, Nature, vol. 492(7427), pages 108-112, December.
    2. Charles M. Perou & Therese Sørlie & Michael B. Eisen & Matt van de Rijn & Stefanie S. Jeffrey & Christian A. Rees & Jonathan R. Pollack & Douglas T. Ross & Hilde Johnsen & Lars A. Akslen & Øystein Flu, 2000. "Molecular portraits of human breast tumours," Nature, Nature, vol. 406(6797), pages 747-752, August.
    3. Talha Anwar & Caroline Arellano-Garcia & James Ropa & Yu-Chih Chen & Hong Sun Kim & Euisik Yoon & Sierrah Grigsby & Venkatesha Basrur & Alexey I. Nesvizhskii & Andrew Muntean & Maria E. Gonzalez & Kel, 2018. "p38-mediated phosphorylation at T367 induces EZH2 cytoplasmic localization to promote breast cancer metastasis," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    4. Agla J. Fridriksdottir & Jiyoung Kim & René Villadsen & Marie Christine Klitgaard & Branden M. Hopkinson & Ole William Petersen & Lone Rønnov-Jessen, 2015. "Propagation of oestrogen receptor-positive and oestrogen-responsive normal human breast cells in culture," Nature Communications, Nature, vol. 6(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayushi Verma & Akhilesh Singh & Manish Pratap Singh & Mushtaq Ahmad Nengroo & Krishan Kumar Saini & Saumya Ranjan Satrusal & Muqtada Ali Khan & Priyank Chaturvedi & Abhipsa Sinha & Sanjeev Meena & Anu, 2022. "EZH2-H3K27me3 mediated KRT14 upregulation promotes TNBC peritoneal metastasis," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
    2. Yang, Xi & Hoadley, Katherine A. & Hannig, Jan & Marron, J.S., 2023. "Jackstraw inference for AJIVE data integration," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
    3. Manish G & Anil Kumar Badana & Rama Rao Malla, 2017. "Emerging Diagnostic and Prognostic Biomarkers of Triple Negative Breast Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 1(3), pages 561-565, August.
    4. Jacob Elnaggar & Fern Tsien & Lucio Miele & Chindo Hicks & Clayton Yates & Melisa Davis, 2019. "An Integrative Genomics Approach for Associating Genetic Susceptibility with the Tumor Immune Microenvironment in Triple Negative Breast Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 15(1), pages 1-12, February.
    5. María Elena Martínez & Jonathan T Unkart & Li Tao & Candyce H Kroenke & Richard Schwab & Ian Komenaka & Scarlett Lin Gomez, 2017. "Prognostic significance of marital status in breast cancer survival: A population-based study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    6. Yishai Shimoni, 2018. "Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification," PLOS Computational Biology, Public Library of Science, vol. 14(2), pages 1-15, February.
    7. Marcin Pilarczyk & Mehdi Fazel-Najafabadi & Michal Kouril & Behrouz Shamsaei & Juozas Vasiliauskas & Wen Niu & Naim Mahi & Lixia Zhang & Nicholas A. Clark & Yan Ren & Shana White & Rashid Karim & Huan, 2022. "Connecting omics signatures and revealing biological mechanisms with iLINCS," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Junhee Seok & Ronald W Davis & Wenzhong Xiao, 2015. "A Hybrid Approach of Gene Sets and Single Genes for the Prediction of Survival Risks with Gene Expression Data," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    9. Qing Qu & Yan Mao & Xiao-chun Fei & Kun-wei Shen, 2013. "The Impact of Androgen Receptor Expression on Breast Cancer Survival: A Retrospective Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    10. Julie Rondeaux & Déborah Groussard & Sylvanie Renet & Virginie Tardif & Anaïs Dumesnil & Alphonse Chu & Léa Maria & Théo Lemarcis & Manon Valet & Jean-Paul Henry & Zina Badji & Claire Vézier & Delphin, 2023. "Ezh2 emerges as an epigenetic checkpoint regulator during monocyte differentiation limiting cardiac dysfunction post-MI," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    11. Bourret, Pascale & Keating, Peter & Cambrosio, Alberto, 2011. "Regulating diagnosis in post-genomic medicine: Re-aligning clinical judgment?," Social Science & Medicine, Elsevier, vol. 73(6), pages 816-824, September.
    12. G. Gambardella & G. Viscido & B. Tumaini & A. Isacchi & R. Bosotti & D. di Bernardo, 2022. "A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    13. Yoo-Ah Kim & Stefan Wuchty & Teresa M Przytycka, 2011. "Identifying Causal Genes and Dysregulated Pathways in Complex Diseases," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-13, March.
    14. Radhakrishnan Nagarajan & Marco Scutari, 2013. "Impact of Noise on Molecular Network Inference," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-12, December.
    15. R Joseph Bender & Feilim Mac Gabhann, 2013. "Expression of VEGF and Semaphorin Genes Define Subgroups of Triple Negative Breast Cancer," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-15, May.
    16. Marron, J.S., 2017. "Big Data in context and robustness against heterogeneity," Econometrics and Statistics, Elsevier, vol. 2(C), pages 73-80.
    17. Deepak Poduval & Zuzana Sichmanova & Anne Hege Straume & Per Eystein Lønning & Stian Knappskog, 2020. "The novel microRNAs hsa-miR-nov7 and hsa-miR-nov3 are over-expressed in locally advanced breast cancer," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-23, April.
    18. Mariana Segovia-Mendoza & Margarita Isabel Palacios-Arreola & Luz María Monroy-Escamilla & Alexandra Estela Soto-Piña & Karen Elizabeth Nava-Castro & Yizel Becerril-Alarcón & Roberto Camacho-Beiza & D, 2022. "Association of Serum Levels of Plasticizers Compounds, Phthalates and Bisphenols, in Patients and Survivors of Breast Cancer: A Real Connection?," IJERPH, MDPI, vol. 19(13), pages 1-22, June.
    19. Chi-Cheng Huang & Shih-Hsin Tu & Heng-Hui Lien & Jaan-Yeh Jeng & Ching-Shui Huang & Chi-Jung Huang & Liang-Chuan Lai & Eric Y Chuang, 2013. "Concurrent Gene Signatures for Han Chinese Breast Cancers," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    20. Fadia Gujam & Katie Dickson & Pamela McCall & Donald McMillan & Joanne Edwards, 2018. "The Relationship Between Androgen Receptor, Components of Tumour Microenvironment and Survival in Breast Cancer Molecular Subtypes," Cancer Therapy & Oncology International Journal, Juniper Publishers Inc., vol. 11(3), pages 77-85, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27220-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.