• Login
    View Item 
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Habitat imaging of tumors enables high confidence sub-regional assessment of response to therapy

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    35565288.pdf
    Size:
    2.103Mb
    Format:
    PDF
    Download
    Authors
    Tar, P. D.
    Thacker, N. A.
    Babur, M.
    Lipowska-Bhalla, G.
    Cheung, S.
    Little, R. A.
    Williams, K. J.
    O'Connor, James P B
    Affiliation
    Division of Cancer Sciences, University of Manchester, Manchester M13 9PT, UK
    Issue Date
    2022
    
    Metadata
    Show full item record
    Abstract
    Imaging biomarkers are used in therapy development to identify and quantify therapeutic response. In oncology, use of MRI, PET and other imaging methods can be complicated by spatially complex and heterogeneous tumor micro-environments, non-Gaussian data and small sample sizes. Linear Poisson Modelling (LPM) enables analysis of complex data that is quantitative and can operate in small data domains. We performed experiments in 5 mouse models to evaluate the ability of LPM to identify responding tumor habitats across a range of radiation and targeted drug therapies. We tested if LPM could identify differential biological response rates. We calculated the theoretical sample size constraints for applying LPM to new data. We then performed a co-clinical trial using small data to test if LPM could detect multiple therapeutics with both improved power and reduced animal numbers compared to conventional t-test approaches. Our data showed that LPM greatly increased the amount of information extracted from diffusion-weighted imaging, compared to cohort t-tests. LPM distinguished biological response rates between Calu6 tumors treated with 3 different therapies and between Calu6 tumors and 4 other xenograft models treated with radiotherapy. A simulated co-clinical trial using real data detected high precision per-tumor treatment effects in as few as 3 mice per cohort, with p-values as low as 1 in 10,000. These findings provide a route to simultaneously improve the information derived from preclinical imaging while reducing and refining the use of animals in cancer research.
    Citation
    Tar PD, Thacker NA, Babur M, Lipowska-Bhalla G, Cheung S, Little RA, et al. Habitat Imaging of Tumors Enables High Confidence Sub-Regional Assessment of Response to Therapy. Vol. 14, Cancers. MDPI AG; 2022. p. 2159.
    Journal
    Cancers
    URI
    http://hdl.handle.net/10541/625308
    DOI
    10.3390/cancers14092159
    PubMed ID
    35565288
    Additional Links
    https://dx.doi.org/10.3390/cancers14092159
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.3390/cancers14092159
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • A new method for the high-precision assessment of tumor changes in response to treatment.
    • Authors: Tar PD, Thacker NA, Babur M, Watson Y, Cheung S, Little RA, Gieling RG, Williams KJ, O'Connor JPB
    • Issue date: 2018 Aug 1
    • Oxygen-enhanced MRI Is Feasible, Repeatable, and Detects Radiotherapy-induced Change in Hypoxia in Xenograft Models and in Patients with Non-small Cell Lung Cancer.
    • Authors: Salem A, Little RA, Latif A, Featherstone AK, Babur M, Peset I, Cheung S, Watson Y, Tessyman V, Mistry H, Ashton G, Behan C, Matthews JC, Asselin MC, Bristow RG, Jackson A, Parker GJM, Faivre-Finn C, Williams KJ, O'Connor JPB
    • Issue date: 2019 Jul 1
    • A comparative assessment of preclinical chemotherapeutic response of tumors using quantitative non-Gaussian diffusion MRI.
    • Authors: Xu J, Li K, Smith RA, Waterton JC, Zhao P, Ding Z, Does MD, Manning HC, Gore JC
    • Issue date: 2017 Apr
    • Prognostic value of MRI-derived masticator space involvement in IMRT-treated nasopharyngeal carcinoma patients.
    • Authors: Xiao Y, Pan J, Chen Y, Lin S, Chen Y, Zong J, Fang Y, Guo Q, Chen B, Tang L
    • Issue date: 2015 Sep 25
    • PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator.
    • Authors: Bolcaen J, Descamps B, Boterberg T, Vanhove C, Goethals I
    • Issue date: 2017 Dec 28
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.