IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-30573-4.html
   My bibliography  Save this article

Gene expression signatures of individual ductal carcinoma in situ lesions identify processes and biomarkers associated with progression towards invasive ductal carcinoma

Author

Listed:
  • Clare A. Rebbeck

    (University of Cambridge)

  • Jian Xian

    (University of Cambridge)

  • Susanne Bornelöv

    (University of Cambridge)

  • Joseph Geradts

    (East Carolina University Brody School of Medicine)

  • Amy Hobeika

    (Duke University Medical Center)

  • Heather Geiger

    (New York Genome Center)

  • Jose Franco Alvarez

    (University of Cambridge)

  • Elena Rozhkova

    (Boston University School of Medicine)

  • Ashley Nicholls

    (University of Cambridge)

  • Nicolas Robine

    (New York Genome Center)

  • Herbert K. Lyerly

    (Duke University Medical Center)

  • Gregory J. Hannon

    (University of Cambridge)

Abstract

Ductal carcinoma in situ (DCIS) is considered a non-invasive precursor to breast cancer, and although associated with an increased risk of developing invasive disease, many women with DCIS will never progress beyond their in situ diagnosis. The path from normal duct to invasive ductal carcinoma (IDC) is not well understood, and efforts to do so are hampered by the substantial heterogeneity that exists between patients, and even within patients. Here we show gene expression analysis from > 2,000 individually micro-dissected ductal lesions representing 145 patients. Combining all samples into one continuous trajectory we show there is a progressive loss in basal layer integrity heading towards IDC, coupled with two epithelial to mesenchymal transitions, one early and a second coinciding with the convergence of DCIS and IDC expression profiles. We identify early processes and potential biomarkers, including CAMK2N1, MNX1, ADCY5, HOXC11 and ANKRD22, whose reduced expression is associated with the progression of DCIS to invasive breast cancer.

Suggested Citation

  • Clare A. Rebbeck & Jian Xian & Susanne Bornelöv & Joseph Geradts & Amy Hobeika & Heather Geiger & Jose Franco Alvarez & Elena Rozhkova & Ashley Nicholls & Nicolas Robine & Herbert K. Lyerly & Gregory , 2022. "Gene expression signatures of individual ductal carcinoma in situ lesions identify processes and biomarkers associated with progression towards invasive ductal carcinoma," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30573-4
    DOI: 10.1038/s41467-022-30573-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-30573-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-30573-4?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. Bhupinder Pal & Yunshun Chen & François Vaillant & Paul Jamieson & Lavinia Gordon & Anne C. Rios & Stephen Wilcox & Naiyang Fu & Kevin He Liu & Felicity C. Jackling & Melissa J. Davis & Geoffrey J. Li, 2017. "Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling," Nature Communications, Nature, vol. 8(1), pages 1-14, December.
    2. Elvin Wagenblast & Mar Soto & Sara Gutiérrez-Ángel & Christina A. Hartl & Annika L. Gable & Ashley R. Maceli & Nicolas Erard & Alissa M. Williams & Sun Y. Kim & Steffen Dickopf & J. Chuck Harrell & An, 2015. "A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis," Nature, Nature, vol. 520(7547), pages 358-362, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amanda Janesick & Robert Shelansky & Andrew D. Gottscho & Florian Wagner & Stephen R. Williams & Morgane Rouault & Ghezal Beliakoff & Carolyn A. Morrison & Michelli F. Oliveira & Jordan T. Sicherman &, 2023. "High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    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. Xiaokang Yu & Xinyi Xu & Jingxiao Zhang & Xiangjie Li, 2023. "Batch alignment of single-cell transcriptomics data using deep metric learning," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Elena Spina & Julia Simundza & Angela Incassati & Anupama Chandramouli & Matthias C. Kugler & Ziyan Lin & Alireza Khodadadi-Jamayran & Christine J. Watson & Pamela Cowin, 2022. "Gpr125 is a unifying hallmark of multiple mammary progenitors coupled to tumor latency," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Alecia-Jane Twigger & Lisa K. Engelbrecht & Karsten Bach & Isabel Schultz-Pernice & Sara Pensa & Jack Stenning & Stefania Petricca & Christina H. Scheel & Walid T. Khaled, 2022. "Transcriptional changes in the mammary gland during lactation revealed by single cell sequencing of cells from human milk," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Louise A. Baldwin & Nenad Bartonicek & Jessica Yang & Sunny Z. Wu & Niantao Deng & Daniel L. Roden & Chia-Ling Chan & Ghamdan Al-Eryani & Damien J. Zanker & Belinda S. Parker & Alexander Swarbrick & S, 2022. "DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Maša Alečković & Simona Cristea & Carlos R. Gil Del Alcazar & Pengze Yan & Lina Ding & Ethan D. Krop & Nicholas W. Harper & Ernesto Rojas Jimenez & Donghao Lu & Anushree C. Gulvady & Pierre Foidart & , 2022. "Breast cancer prevention by short-term inhibition of TGFβ signaling," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Qiuchen Guo & Milos Spasic & Adam G. Maynard & Gregory J. Goreczny & Amanuel Bizuayehu & Jessica F. Olive & Peter Galen & Sandra S. McAllister, 2022. "Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    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:13:y:2022:i:1:d:10.1038_s41467-022-30573-4. 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.