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Development of novel imaging biomarkers of tumour metabolism

Development of novel imaging biomarkers of tumour metabolism

Ramona Woitek (ORCID: 0000-0002-9146-9159)
  • Grant DOI 10.55776/J4025
  • Funding program Erwin Schrödinger
  • Status ended
  • Start April 1, 2017
  • End March 31, 2019
  • Funding amount € 79,400
  • Project website

Disciplines

Clinical Medicine (100%)

Keywords

    Breast Cancer, Magnetic Resinance Tomography, Hyperpolarized Mri, Tumour Metabolism, MRI, Tumour Heterogeneity

Abstract

Breast cancer is the most common cancer in women and can frequently be treated successfully. To select the most effective treatment, patients with breast cancer need to be grouped, or stratified, according to their precise tumour type. The tumour type is usually determined by microscopic assessment of tissue samples obtained during biopsy. However, it is known that the primary breast cancer and its metastases may contain groups of cells that display very different properties in microscopic appearance, DNA-alterations, and metabolism. The term tumour heterogeneity is used to describe this and this heterogeneity may necessitate different treatment strategies for successful response to drug therapy. The common clinical practice of obtaining a tumour biopsy from a single location often does not fully depict this heterogeneity and advanced imaging methods may come into play here. Another issue is that after a treatment is decided upon for an individual patient, it is desirable to evaluate response as early as possible, to allow rapid changes to the treatment if it is not effective reducing the side effects to the patient, increasing their chances of responding successfully and decreasing the use of ineffective drugs for the healthcare system. Standard methods for the imaging of breast cancer patients cannot fully assess tumour heterogeneity and this is especially true for bone metastases. Hyperpolarised MRI (HP MRI) is a new technique for studying tumour metabolism which greatly increases the signal that can be obtained with MRI. The metabolism of cancer cells is different from normal cells in that cancer cells use more glucose. With HP MRI, we can detect this difference in a way which has not been possible before and it may allow metabolic heterogeneity to be detected. This new imaging method is only starting to enter clinical research, but the first results are very promising. In this study, radiation free HP MRI will be combined with radionuclide imaging (18F-sodium fluoride positron emission tomography; 18F- NaF-PET), to optimize the diagnosis of bone metastases and the response to treatment. Another new technique for the detection of tumours is the measurement of small DNA fragments of cancer cells (circulating tumour DNA, ctDNA) that can be found in the blood of cancer patients. The amount of ctDNA decreases when the tumour shrinks. ctDNA may show a more complete picture of the DNA changes in the patients tumour than the tumour tissue obtained during a single biopsy. Some of these DNA changes allow targeted individualised therapy for the patient. This study will assess the combination of HP MRI, 18F-NaF-PET, and ctDNA for the comprehensive assessment of different properties of breast cancer in individual patients with the ultimate goal of improving the choice of treatment for both the primary tumour and metastases.

Research institution(s)
  • University of Cambridge - 100%

Research Output

  • 606 Citations
  • 21 Publications
  • 1 Methods & Materials
  • 1 Scientific Awards
  • 2 Fundings
Publications
  • 2020
    Title Imaging breast cancer using hyperpolarized carbon-13 MRI
    DOI 10.1073/pnas.1913841117
    Type Journal Article
    Author Gallagher F
    Journal Proceedings of the National Academy of Sciences
    Pages 2092-2098
    Link Publication
  • 2022
    Title Staging Breast Cancer with MRI, the T. A Key Role in the Neoadjuvant Setting
    DOI 10.3390/cancers14235786
    Type Journal Article
    Author Panico C
    Journal Cancers
    Pages 5786
    Link Publication
  • 2022
    Title An optoacoustic imaging feature set to characterise blood vessels surrounding benign and malignant breast lesions
    DOI 10.1016/j.pacs.2022.100383
    Type Journal Article
    Author Abeyakoon O
    Journal Photoacoustics
    Pages 100383
    Link Publication
  • 2022
    Title Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma
    DOI 10.3389/fonc.2022.868265
    Type Journal Article
    Author Rundo L
    Journal Frontiers in Oncology
    Pages 868265
    Link Publication
  • 2022
    Title Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study
    DOI 10.1148/rycan.210076
    Type Journal Article
    Author Zaccagna F
    Journal Radiology: Imaging Cancer
    Link Publication
  • 2022
    Title Staging Breast Cancer with MRI, the T. A Key Role in the Neoadjuvant Setting.
    DOI 10.17863/cam.92657
    Type Journal Article
    Author Ferrara F
    Link Publication
  • 2022
    Title Staging Breast Cancer with MRI, the T. A Key Role in the Neoadjuvant Setting.
    DOI 10.17863/cam.91502
    Type Journal Article
    Author Ferrara F
    Link Publication
  • 2022
    Title Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study.
    DOI 10.17863/cam.84933
    Type Journal Article
    Author Mclean M
    Link Publication
  • 2022
    Title Hyperpolarized 13C-Pyruvate Metabolism as a Surrogate for Tumor Grade and Poor Outcome in Renal Cell Carcinoma-A Proof of Principle Study.
    DOI 10.17863/cam.80443
    Type Other
    Author Ursprung S
    Link Publication
  • 2022
    Title Hyperpolarized13C-Pyruvate Metabolism as a Surrogate for Tumor Grade and Poor Outcome in Renal Cell Carcinoma-A Proof of Principle Study
    DOI 10.17863/cam.79903
    Type Journal Article
    Author Ursprung S
    Link Publication
  • 2019
    Title Quantifying normal human brain metabolism using hyperpolarized [1–13C]pyruvate and magnetic resonance imaging
    DOI 10.1016/j.neuroimage.2019.01.027
    Type Journal Article
    Author Grist J
    Journal NeuroImage
    Pages 171-179
    Link Publication
  • 2021
    Title Hyperpolarized Carbon-13 MRI for Early Response Assessment of Neoadjuvant Chemotherapy in Breast Cancer Patients
    DOI 10.1158/0008-5472.can-21-1499
    Type Journal Article
    Author Woitek R
    Journal Cancer Research
    Pages 6004-6017
    Link Publication
  • 2025
    Title A large-scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression-free survival
    DOI 10.1002/1878-0261.70015
    Type Journal Article
    Author Beddowes E
    Journal Molecular Oncology
    Pages 3518-3534
    Link Publication
  • 2022
    Title Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
    DOI 10.48550/arxiv.2209.09563
    Type Preprint
    Author Buddenkotte T
  • 2022
    Title Hyperpolarized 13C-Pyruvate Metabolism as a Surrogate for Tumor Grade and Poor Outcome in Renal Cell Carcinoma—A Proof of Principle Study
    DOI 10.3390/cancers14020335
    Type Journal Article
    Author Ursprung S
    Journal Cancers
    Pages 335
    Link Publication
  • 2018
    Title Hyperpolarized carbon-13 magnetic resonance spectroscopic imaging: a clinical tool for studying tumour metabolism
    DOI 10.1259/bjr.20170688
    Type Journal Article
    Author Zaccagna F
    Journal The British Journal of Radiology
    Pages 20170688
    Link Publication
  • 2018
    Title Optoacoustic Imaging Detects Hormone-Related Physiological Changes of Breast Parenchyma
    DOI 10.1055/a-0628-6248
    Type Journal Article
    Author Abeyakoon O
    Journal Ultraschall in der Medizin - European Journal of Ultrasound
    Pages 757-763
    Link Publication
  • 2020
    Title Hyperpolarized 13C MRI of Tumor Metabolism Demonstrates Early Metabolic Response to Neoadjuvant Chemotherapy in Breast Cancer
    DOI 10.1148/rycan.2020200017
    Type Journal Article
    Author Woitek R
    Journal Radiology: Imaging Cancer
    Link Publication
  • 2020
    Title Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic Melanoma
    DOI 10.3390/cancers12123493
    Type Journal Article
    Author Gill A
    Journal Cancers
    Pages 3493
    Link Publication
  • 2023
    Title Hyperpolarized Carbon-13 MRI in Breast Cancer
    DOI 10.3390/diagnostics13132311
    Type Journal Article
    Author Woitek R
    Journal Diagnostics
    Pages 2311
    Link Publication
  • 2023
    Title A large-scale retrospective study in metastatic breast cancer patients using circulating tumor DNA and machine learning to predict treatment outcome and progression-free survival
    DOI 10.1101/2023.03.03.530936
    Type Preprint
    Author Beddowes E
    Pages 2023.03.03.530936
    Link Publication
Methods & Materials
  • 2019
    Title clinical hyperpolarised 13C MRI of the breast
    Type Physiological assessment or outcome measure
    Public Access
Scientific Awards
  • 2019
    Title Named Speaker at WMIC 2019
    Type Personally asked as a key note speaker to a conference
    Level of Recognition Continental/International
Fundings
  • 2020
    Title All in one cancer imaging optimisation using an integrated mathematical and deep learning approach
    Type Research grant (including intramural programme)
    Start of Funding 2020
  • 2019
    Title Hyperpolarised 13C-MRSI to assess response in breast cancer under neoadjuvant treatment
    Type Research grant (including intramural programme)
    Start of Funding 2019

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