Development of novel imaging biomarkers of tumour metabolism
Development of novel imaging biomarkers of tumour metabolism
Disciplines
Clinical Medicine (100%)
Keywords
-
Breast Cancer,
Magnetic Resinance Tomography,
Hyperpolarized Mri,
Tumour Metabolism,
MRI,
Tumour Heterogeneity
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.
- University of Cambridge - 100%
Research Output
- 606 Citations
- 21 Publications
- 1 Methods & Materials
- 1 Scientific Awards
- 2 Fundings
-
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
-
2019
Title clinical hyperpolarised 13C MRI of the breast Type Physiological assessment or outcome measure Public Access
-
2019
Title Named Speaker at WMIC 2019 Type Personally asked as a key note speaker to a conference Level of Recognition Continental/International
-
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