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Balaha HM, Ayyad SM, Alksas A, Shehata M, Elsorougy A, Badawy MA, Abou El-Ghar M, Mahmoud A, Alghamdi NS, Ghazal M, Contractor S, El-Baz A. Precise Prostate Cancer Assessment Using IVIM-Based Parametric Estimation of Blood Diffusion from DW-MRI. Bioengineering (Basel) 2024; 11:629. [PMID: 38927865 PMCID: PMC11200510 DOI: 10.3390/bioengineering11060629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/22/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024] Open
Abstract
Prostate cancer is a significant health concern with high mortality rates and substantial economic impact. Early detection plays a crucial role in improving patient outcomes. This study introduces a non-invasive computer-aided diagnosis (CAD) system that leverages intravoxel incoherent motion (IVIM) parameters for the detection and diagnosis of prostate cancer (PCa). IVIM imaging enables the differentiation of water molecule diffusion within capillaries and outside vessels, offering valuable insights into tumor characteristics. The proposed approach utilizes a two-step segmentation approach through the use of three U-Net architectures for extracting tumor-containing regions of interest (ROIs) from the segmented images. The performance of the CAD system is thoroughly evaluated, considering the optimal classifier and IVIM parameters for differentiation and comparing the diagnostic value of IVIM parameters with the commonly used apparent diffusion coefficient (ADC). The results demonstrate that the combination of central zone (CZ) and peripheral zone (PZ) features with the Random Forest Classifier (RFC) yields the best performance. The CAD system achieves an accuracy of 84.08% and a balanced accuracy of 82.60%. This combination showcases high sensitivity (93.24%) and reasonable specificity (71.96%), along with good precision (81.48%) and F1 score (86.96%). These findings highlight the effectiveness of the proposed CAD system in accurately segmenting and diagnosing PCa. This study represents a significant advancement in non-invasive methods for early detection and diagnosis of PCa, showcasing the potential of IVIM parameters in combination with machine learning techniques. This developed solution has the potential to revolutionize PCa diagnosis, leading to improved patient outcomes and reduced healthcare costs.
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Affiliation(s)
- Hossam Magdy Balaha
- Department of Bioengineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Sarah M. Ayyad
- Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt
| | - Ahmed Alksas
- Department of Bioengineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Mohamed Shehata
- Department of Bioengineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Ali Elsorougy
- Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt
| | - Mohamed Ali Badawy
- Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt
| | - Mohamed Abou El-Ghar
- Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt
| | - Ali Mahmoud
- Department of Bioengineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Norah Saleh Alghamdi
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Depatrment, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates
| | - Sohail Contractor
- Department of Radiology, University of Louisville, Louisville, KY 40202, USA
| | - Ayman El-Baz
- Department of Bioengineering, J.B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
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Skipar K, Hompland T, Lund KV, Lindemann K, Hellebust TP, Bruheim K, Lyng H. MRI-guided dynamic risk assessment in cervical cancer based on tumor hypoxia at diagnosis and volume response at brachytherapy. Radiother Oncol 2024; 195:110263. [PMID: 38556173 DOI: 10.1016/j.radonc.2024.110263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/21/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND AND PURPOSE Improvements in treatment outcome for patients with locally advanced cervical cancer (LACC) require a better classification of patients according to their risk of recurrence. We investigated whether an imaging-based approach, combining pretreatment hypoxia and tumor response during therapy, could improve risk classification. MATERIAL AND METHODS Ninety-three LACC patients with T2-weigthed (T2W)-, dynamic contrast enhanced (DCE)- and diffusion weighted (DW)-magnetic resonance (MR) images acquired before treatment, and T2W- and, for 64 patients, DW-MR images, acquired at brachytherapy, were collected. Pretreatment hypoxic fraction (HFpre) was determined from DCE- and DW-MR images using the consumption and supply-based hypoxia (CSH)-imaging method. Volume regression at brachytherapy was assessed from T2W-MR images and combined with HFpre. In 17 patients with adequate DW-MR images at brachytherapy, the apparent diffusion coefficient (ADC), reflecting tumor cell density, was calculated. Change in ADC during therapy was combined with volume regression yielding functional regression as explorative response measure. Endpoint was disease free survival (DFS). RESULTS HFpre was the strongest predictor of DFS, but a significant correlation with outcome was found also for volume regression. The combination of HFpre and volume regression showed a stronger association with DFS than HFpre alone. Patients with disease recurrence were selected to either the intermediate- or high-risk group with a 100 % accuracy. Functional regression showed a stronger correlation to HFpre than volume regression. CONCLUSION The combination of pretreatment hypoxia and volume regression at brachytherapy improved patient risk classification. Integration of ADC with volume regression showed promise as a new tumor response parameter.
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Affiliation(s)
- Kjersti Skipar
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Oncology, Telemark Hospital Trust, Skien, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tord Hompland
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | - Kjersti V Lund
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristina Lindemann
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Gynecological Oncology, Oslo University Hospital, Oslo, Norway
| | - Taran P Hellebust
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway
| | - Kjersti Bruheim
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Heidi Lyng
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway.
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Possenti L, Vitullo P, Cicchetti A, Zunino P, Rancati T. Modeling hypoxia-induced radiation resistance and the impact of radiation sources. Comput Biol Med 2024; 173:108334. [PMID: 38520919 DOI: 10.1016/j.compbiomed.2024.108334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/29/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
Hypoxia contributes significantly to resistance in radiotherapy. Our research rigorously examines the influence of microvascular morphology on radiotherapy outcome, specifically focusing on how microvasculature shapes hypoxia within the microenvironment and affects resistance to a standard treatment regimen (30×2GyRBE). Our computational modeling extends to the effects of different radiation sources. For photons and protons, our analysis establishes a clear correlation between hypoxic volume distribution and treatment effectiveness, with vascular density and regularity playing a crucial role in treatment success. On the contrary, carbon ions exhibit distinct effectiveness, even in areas of intense hypoxia and poor vascularization. This finding points to the potential of carbon-based hadron therapy in overcoming hypoxia-induced resistance to RT. Considering that the spatial scale analyzed in this study is closely aligned with that of imaging data voxels, we also address the implications of these findings in a clinical context envisioning the possibility of detecting subvoxel hypoxia.
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Affiliation(s)
- Luca Possenti
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy.
| | - Piermario Vitullo
- MOX, Department of Mathematics, Politecnico di Milano, P.zza Da Vinci 32, Milan, 20133, Italy
| | - Alessandro Cicchetti
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy
| | - Paolo Zunino
- MOX, Department of Mathematics, Politecnico di Milano, P.zza Da Vinci 32, Milan, 20133, Italy
| | - Tiziana Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy
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Duan Z, Tao J, Liu W, Liu Y, Fang S, Yang Y, Liu X, Deng X, Song Y, Wang S. Correlation of IVIM/DKI Parameters with Hypoxia Biomarkers in Fibrosarcoma Murine Models: Direct Control of MRI and Pathological Sections. Acad Radiol 2024; 31:1014-1023. [PMID: 37714721 DOI: 10.1016/j.acra.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/01/2023] [Accepted: 08/19/2023] [Indexed: 09/17/2023]
Abstract
RATIONALE AND OBJECTIVES To investigate whether intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) parameters correlate with hypoxia biomarkers, namely hypoxia inducible factor-1ɑ (HIF-1ɑ), carbonic anhydrase IX (CAIX), and pimonidazole (PIMO), in fibrosarcoma (FS) murine models. MATERIALS AND METHODS A model of 30 FS nude mice was established. All mice underwent magnetic resonance imaging (MRI) scans after which the IVIM (standard apparent diffusion coefficient [standard ADC], pure diffusion coefficient [D], pseudo-diffusion coefficient [D*], and perfusion fraction [f]) and DKI parameters (mean diffusion [MD], mean kurtosis [MK]) were obtained. Based on an MRI-pathology controlled method, correlations between each MRI parameter and hypoxia biomarkers were assessed by Pearson or Spearman tests. An independent sample t-test or Wilcoxon's rank sum test, and receiver operating characteristic curves were used to identify whether MRI parameters could differentiate between high and low expressions of hypoxia biomarkers. RESULTS The IVIM/DKI parameters showed varying degrees of correlation with HIF-1α, CAIX, and PIMO expression. Among them, the D, f, and MK values could confirm HIF-1α expression, while D, f, and MK values could assess CAIX expression. Finally, standard D and MK values could evaluate PIMO expression levels. CONCLUSION IVIM and DKI parameters can be used to reflect hypoxic biomarkers of FS and have the potential to detect tumor hypoxia.
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Affiliation(s)
- Zhiqing Duan
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Juan Tao
- Department of Pathology, The Second Hospital, Dalian Medical University, Dalian, China (J.T.)
| | - Wenyu Liu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Yajie Liu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Shaobo Fang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Yanyu Yang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Xiaoge Liu
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Xiyang Deng
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Yutong Song
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.)
| | - Shaowu Wang
- Department of Radiology, The Second Hospital, Dalian Medical University, Dalian 116027, Liaoning Province, China (Z.D., W.L., Y.L., S.F., Y.Y., X.L., X.D., Y.S., S.W.).
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Mesny E, Leporq B, Chapet O, Beuf O. Towards tumour hypoxia imaging: Incorporating relative oxygen extraction fraction mapping of prostate with multi-parametric quantitative MRI on a 1.5T MR-linac. J Med Imaging Radiat Oncol 2024. [PMID: 38415384 DOI: 10.1111/1754-9485.13626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 02/03/2024] [Indexed: 02/29/2024]
Abstract
Hypoxia plays a central role in tumour radioresistance. Reliable tumour hypoxia imaging would allow the monitoring of tumour response and a more personalized adaptation of radiotherapy planning. Here, we showed a proof of concept of the feasibility and repeatability of relative oxygen extraction fraction (rOEF) mapping of prostate using multi-parametric quantitative MRI (qMRI) achieved for the first time on a 1.5T MR-linac. T2, T2* relaxation times maps, and intra-voxel incoherent motion (IVIM) parametric maps mapping were computed on a 29 years old healthy volunteer. R2' and rOEF maps were calculated based on a multi-parametric model. Long-term repeatability and repeatability coefficient (RC) were determined for each parameter according to QIBA recommendations. Mean values for the entire healthy prostate were 0.99 ± 0.14 × 10-3 mm/s2 , 81 ± 2.1 × 10-3 mm/s2 , 21.6 ± 3.6%, 92.7 ± 19.7 ms and 62.4 ± 17.3 ms for Dslow , Dfast , f, T2 and T2*, respectively. R2' and rOEF in the prostate were 6.1 ± 3.4 s-1 and 18.2 ± 10.1% respectively. The RC of rOEF was 4.43%. Long-term repeatability of quantitative parameters based on a test-retest ranged from 2 to 18%. qMRI parameters are measurable and repeatable on 1.5T MR LINAC. From T2, T2* and IVIM parameters maps, we were able to obtain a rOEF mapping of the prostate. These results are the first step to a non-invasive imaging of tumour hypoxia during radiotherapy leading to a biological image-guided adaptive radiotherapy.
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Affiliation(s)
- Emmanuel Mesny
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France
- Radiation Oncology Department, Center Hospitalier Lyon Sud, Lyon, France
| | - Benjamin Leporq
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France
| | - Olivier Chapet
- Radiation Oncology Department, Center Hospitalier Lyon Sud, Lyon, France
- Université Claude Bernard Lyon 1, Lyon, France
| | - Olivier Beuf
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France
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Imaizumi A, Hirayama R, Ikoma Y, Nitta N, Obata T, Hasegawa S. Neon ion ( 20 Ne 10 + ) charged particle beams manipulate rapid tumor reoxygenation in syngeneic mouse models. Cancer Sci 2024; 115:227-236. [PMID: 37994570 PMCID: PMC10823265 DOI: 10.1111/cas.16017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/28/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023] Open
Abstract
Charged particle beams induce various biological effects by creating high-density ionization through the deposition of energy along the beam's trajectory. Charged particle beams composed of neon ions (20 Ne10+ ) hold great potential for biomedical applications, but their physiological effects on living organs remain uncertain. In this study, we demonstrate that neon-ion beams expedite the process of reoxygenation in tumor models. We simulated mouse SCCVII syngeneic tumors and exposed them to either X-ray or neon-ion beams. Through an in vivo radiobiological assay, we observed a reduction in the hypoxic fraction in tumors irradiated with 8.2 Gy of neon-ion beams 30 h after irradiation compared to 6 h post-irradiation. Conversely, no significant changes in hypoxia were observed in tumors irradiated with 8.2 Gy of X-rays. To directly quantify hypoxia in the irradiated living tumors, we utilized dynamic contrast-enhanced magnetic resonance imaging (MRI) and diffusion-weighted imaging. These combined MRI techniques revealed that the non-hypoxic fraction in neon-irradiated tumors was significantly higher than that in X-irradiated tumors (69.53% vs. 47.67%). Simultaneously, the hypoxic fraction in neon-ion-irradiated tumors (2.77%) was lower than that in X-irradiated tumors (4.27%) and non-irradiated tumors (32.44%). These results support the notion that accelerated reoxygenation occurs more effectively with neon-ion beam irradiation compared to X-rays. These findings shed light on the physiological effects of neon-ion beams on tumors and their microenvironment, emphasizing the therapeutic advantage of using neon-ion charged particle beams to manipulate tumor reoxygenation.
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Affiliation(s)
- Akiko Imaizumi
- Department of Molecular Imaging and TheranosticsNational Institutes for Quantum Science and TechnologyChibaJapan
- Present address:
Department of Dental Radiology and Radiation OncologyTokyo Medical and Dental UniversityTokyoJapan
| | - Ryoichi Hirayama
- Department of Charged Particle Therapy ResearchNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Yoko Ikoma
- Department of Molecular Imaging and TheranosticsNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Nobuhiro Nitta
- Department of Molecular Imaging and TheranosticsNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Takayuki Obata
- Department of Molecular Imaging and TheranosticsNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Sumitaka Hasegawa
- Department of Charged Particle Therapy ResearchNational Institutes for Quantum Science and TechnologyChibaJapan
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7
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Fokkinga E, Hernandez-Tamames JA, Ianus A, Nilsson M, Tax CMW, Perez-Lopez R, Grussu F. Advanced Diffusion-Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology. J Magn Reson Imaging 2023. [PMID: 38032021 DOI: 10.1002/jmri.29144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023] Open
Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) aims to disentangle multiple biological signal sources in each imaging voxel, enabling the computation of innovative maps of tissue microstructure. DW-MRI model development has been dominated by brain applications. More recently, advanced methods with high fidelity to histology are gaining momentum in other contexts, for example, in oncological applications of body imaging, where new biomarkers are urgently needed. The objective of this article is to review the state-of-the-art of DW-MRI in body imaging (ie, not including the nervous system) in oncology, and to analyze its value as compared to reference colocalized histology measurements, given that demonstrating the histological validity of any new DW-MRI method is essential. In this article, we review the current landscape of DW-MRI techniques that extend standard apparent diffusion coefficient (ADC), describing their acquisition protocols, signal models, fitting settings, microstructural parameters, and relationship with histology. Preclinical, clinical, and in/ex vivo studies were included. The most used techniques were intravoxel incoherent motion (IVIM; 36.3% of used techniques), diffusion kurtosis imaging (DKI; 16.7%), vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT; 13.3%), and imaging microstructural parameters using limited spectrally edited diffusion (IMPULSED; 11.7%). Another notable category of techniques relates to innovative b-tensor diffusion encoding or joint diffusion-relaxometry. The reviewed approaches provide histologically meaningful indices of cancer microstructure (eg, vascularization/cellularity) which, while not necessarily accurate numerically, may still provide useful sensitivity to microscopic pathological processes. Future work of the community should focus on improving the inter-/intra-scanner robustness, and on assessing histological validity in broader contexts. LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ella Fokkinga
- Biomedical Engineering, Track Medical Physics, Delft University of Technology, Delft, The Netherlands
- Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Juan A Hernandez-Tamames
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Andrada Ianus
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
| | - Markus Nilsson
- Department of Diagnostic Radiology, Clinical Sciences Lund, Lund, Sweden
| | - Chantal M W Tax
- Cardiff University Brain Research Imaging Center (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Raquel Perez-Lopez
- Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Francesco Grussu
- Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
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Zhong J, Kobus M, Maitre P, Datta A, Eccles C, Dubec M, McHugh D, Buckley D, Scarsbrook A, Hoskin P, Henry A, Choudhury A. MRI-guided Pelvic Radiation Therapy: A Primer for Radiologists. Radiographics 2023; 43:e230052. [PMID: 37796729 DOI: 10.1148/rg.230052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
Radiation therapy (RT) is a core pillar of oncologic treatment, and half of all patients with cancer receive this therapy as a curative or palliative treatment. The recent integration of MRI into the RT workflow has led to the advent of MRI-guided RT (MRIgRT). Using MRI rather than CT has clear advantages for guiding RT to pelvic tumors, including superior soft-tissue contrast, improved organ motion visualization, and the potential to image tumor phenotypic characteristics to identify the most aggressive or treatment-resistant areas, which can be targeted with a more focal higher radiation dose. Radiologists should be familiar with the potential uses of MRI in planning pelvic RT; the various RT techniques used, such as brachytherapy and external beam RT; and the impact of MRIgRT on treatment paradigms. Current clinical experience with and the evidence base for MRIgRT in the settings of prostate, cervical, and bladder cancer are discussed, and examples of treated cases are illustrated. In addition, the benefits of MRIgRT, such as real-time online adaptation of RT (during treatment) and interfraction and/or intrafraction adaptation to organ motion, as well as how MRIgRT can decrease toxic effects and improve oncologic outcomes, are highlighted. MRIgRT is particularly beneficial for treating mobile pelvic structures, and real-time adaptive RT for tumors can be achieved by using advanced MRI-guided linear accelerator systems to spare organs at risk. Future opportunities for development of biologically driven adapted RT with use of functional MRI sequences and radiogenomic approaches also are outlined. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.
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Affiliation(s)
- Jim Zhong
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Marta Kobus
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Priyamvada Maitre
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Anubhav Datta
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Cynthia Eccles
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Michael Dubec
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Damien McHugh
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - David Buckley
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Andrew Scarsbrook
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Peter Hoskin
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Ann Henry
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
| | - Ananya Choudhury
- From the Leeds Institute of Medical Research (J.Z., A.S., A.H.) and Department of Biomedical Imaging (D.B.), University of Leeds, 6 Clarendon Way, Woodhouse, Leeds LS2 9LH, England; Leeds Cancer Centre, St James's University Hospital, Leeds, England (J.Z., A.S., A.H.); Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany (M.K.); Radiation Therapy Research Group (M.K., P.M., A.D., C.E., M.D., P.H., A.C.) and Division of Cancer Sciences (D.M.), University of Manchester, Manchester, England; and The Christie NHS Foundation Trust, Manchester, England (P.M., C.E., M.D., D.M., P.H., A.C.)
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9
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Skingen VE, Hompland T, Fjeldbo CS, Salberg UB, Helgeland H, Ragnum HB, Aarnes EK, Vlatkovic L, Hole KH, Seierstad T, Lyng H. Prostate cancer radiogenomics reveals proliferative gene expression programs associated with distinct MRI-based hypoxia levels. Radiother Oncol 2023; 188:109875. [PMID: 37640161 DOI: 10.1016/j.radonc.2023.109875] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND PURPOSE The biology behind individual hypoxia levels in patient tumors is poorly understood. Here, we used radiogenomics to identify associations between magnetic resonance imaging (MRI)-based hypoxia levels and biological processes derived from gene expression data in prostate cancer. MATERIALS AND METHODS For 85 prostate cancer patients, MRI-based hypoxia images were constructed by combining diffusion-weighted images reflecting oxygen consumption and supply. The ability to differentiate hypoxia levels in these images was verified by comparison with matched biopsy sections stained for the hypoxia marker pimonidazole. For MRI-defined hypoxia levels, corresponding hypoxic fractions were calculated and correlated with biopsy gene expression profiles. Biological processes were predicted by gene set enrichment analysis (GSEA) and validated by immunohistochemistry (Ki67 proliferation marker, reactive stroma grade) and RT-PCR (MYC). RESULTS Genes with correlation between expression level and hypoxic fraction were identified for 56 MRI-based hypoxia levels. At all levels, GSEA identified proliferation as the predominant biological process enriched among the correlating genes. Two independent proliferative gene signatures were developed. The Peak1 signature, upregulated at moderate/severe hypoxia, reflected MYC upregulation and high Ki67-proliferation index of cancer cells in pimonidazole-positive regions. The Peak2 signature, upregulated at mild to non-hypoxic levels, was associated with fibroblast gene signature and reactive stroma grade. High scores of both Peak1 and Peak2 indicated elevated risk of biochemical recurrence in multiple cohorts. CONCLUSION Radiogenomics identified two gene expression programs activated at different hypoxia levels, reflecting proliferation of cancer cells and stroma cells. Genes involved in these programs could be candidate targets for intervention.
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Affiliation(s)
- Vilde Eide Skingen
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway
| | - Tord Hompland
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | | | - Unn Beate Salberg
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | - Hanna Helgeland
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | - Harald Bull Ragnum
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Oncology and Hematology, Telemark Hospital Trust, Skien, Norway
| | | | | | - Knut Håkon Hole
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Therese Seierstad
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Heidi Lyng
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway.
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10
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Henjum H, Dahle TJ, Mairani A, Pilskog S, Stokkevåg C, Boer CG, Redalen KR, Minn H, Malinen E, Ytre‐Hauge KS. Combined RBE and OER optimization in proton therapy with FLUKA based on EF5-PET. J Appl Clin Med Phys 2023; 24:e14014. [PMID: 37161820 PMCID: PMC10476997 DOI: 10.1002/acm2.14014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/14/2023] [Accepted: 04/10/2023] [Indexed: 05/11/2023] Open
Abstract
INTRODUCTION Tumor hypoxia is associated with poor treatment outcome. Hypoxic regions are more radioresistant than well-oxygenated regions, as quantified by the oxygen enhancement ratio (OER). In optimization of proton therapy, including OER in addition to the relative biological effectiveness (RBE) could therefore be used to adapt to patient-specific radioresistance governed by intrinsic radiosensitivity and hypoxia. METHODS A combined RBE and OER weighted dose (ROWD) calculation method was implemented in a FLUKA Monte Carlo (MC) based treatment planning tool. The method is based on the linear quadratic model, with α and β parameters as a function of the OER, and therefore a function of the linear energy transfer (LET) and partial oxygen pressure (pO2 ). Proton therapy plans for two head and neck cancer (HNC) patients were optimized with pO2 estimated from [18 F]-EF5 positron emission tomography (PET) images. For the ROWD calculations, an RBE of 1.1 (RBE1.1,OER ) and two variable RBE models, Rørvik (ROR) and McNamara (MCN), were used, alongside a reference plan without incorporation of OER (RBE1.1 ). RESULTS For the HNC patients, treatment plans in line with the prescription dose and with acceptable target ROWD could be generated with the established tool. The physical dose was the main factor modulated in the ROWD. The impact of incorporating OER during optimization of HNC patients was demonstrated by the substantial difference found between ROWD and physical dose in the hypoxic tumor region. The largest physical dose differences between the ROWD optimized plans and the reference plan was 12.2 Gy. CONCLUSION The FLUKA MC based tool was able to optimize proton treatment plans taking the tumor pO2 distribution from hypoxia PET images into account. Independent of RBE-model, both elevated LET and physical dose were found in the hypoxic regions, which shows the potential to increase the tumor control compared to a conventional optimization approach.
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Affiliation(s)
- Helge Henjum
- Department of Physics and TechnologyUniversity of BergenBergenNorway
| | - Tordis Johnsen Dahle
- Department of Physics and TechnologyUniversity of BergenBergenNorway
- Department of Oncology and Medical PhysicsHaukeland University HospitalBergenNorway
| | - Andrea Mairani
- Centro Nazionale di Adroterapia Oncologica (CNAO Foundation)PaviaItaly
- Heidelberg Ion Beam Therapy Center (HIT)HeidelbergGermany
| | - Sara Pilskog
- Department of Physics and TechnologyUniversity of BergenBergenNorway
- Department of Oncology and Medical PhysicsHaukeland University HospitalBergenNorway
| | - Camilla Stokkevåg
- Department of Physics and TechnologyUniversity of BergenBergenNorway
- Department of Oncology and Medical PhysicsHaukeland University HospitalBergenNorway
| | | | - Kathrine Røe Redalen
- Department of PhysicsNorwegian University of Science and TechnologyTrondheimNorway
| | - Heikki Minn
- Department of Oncology and RadiotherapyTurku University HospitalTurkuFinland
- Turku PET CentreUniversity of TurkuTurkuFinland
| | - Eirik Malinen
- Department of PhysicsUniversity of OsloOsloNorway
- Department of Medical PhysicsOslo University HospitalOsloNorway
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11
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Chen M, Zhou X, Cai H, Li D, Song C, You H, Ma R, Dong Z, Peng Z, Feng ST. Evaluation of Hypoxia in Hepatocellular Carcinoma Using Quantitative MRI: Significances, Challenges, and Advances. J Magn Reson Imaging 2023; 58:12-25. [PMID: 36971442 DOI: 10.1002/jmri.28694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/29/2023] Open
Abstract
This review aimed to perform a scoping review of promising MRI methods in assessing tumor hypoxia in hepatocellular carcinoma (HCC). The hypoxic microenvironment and upregulated hypoxic metabolism in HCC are determining factors of poor prognosis, increased metastatic potential, and resistance to chemotherapy and radiotherapy. Assessing hypoxia in HCC is essential for personalized therapy and predicting prognoses. Oxygen electrodes, protein markers, optical imaging, and positron emission tomography can evaluate tumor hypoxia. These methods lack clinical applicability because of invasiveness, tissue depth, and radiation exposure. MRI methods, including blood oxygenation level-dependent, dynamic contrast-enhanced MRI, diffusion-weighted imaging, MRI spectroscopy, chemical exchange saturation transfer MRI, and multinuclear MRI, are promising noninvasive methods that evaluate the hypoxic microenvironment by observing biochemical processes in vivo, which may inform on therapeutic options. This review summarizes the recent challenges and advances in MRI techniques for assessing hypoxia in HCC and highlights the potential of MRI methods for examining the hypoxic microenvironment via specific metabolic substrates and pathways. Although the utilization of MRI methods for evaluating hypoxia in patients with HCC is increasing, rigorous validation is needed in order to translate these MRI methods into clinical use. Due to the limited sensitivity and specificity of current quantitative MRI methods, their acquisition and analysis protocols require further improvement. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 4.
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Affiliation(s)
- Meicheng Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Xiaoqi Zhou
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Huasong Cai
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Di Li
- Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Chenyu Song
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Huayu You
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Ruixia Ma
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Zhi Dong
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Zhenpeng Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Province Guangdong, People's Republic of China
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12
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Meng S, Gan W, Chen L, Wang N, Liu A. Intravoxel incoherent motion predicts positive surgical margins and Gleason score upgrading after radical prostatectomy for prostate cancer. LA RADIOLOGIA MEDICA 2023:10.1007/s11547-023-01645-2. [PMID: 37277573 DOI: 10.1007/s11547-023-01645-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 05/02/2023] [Indexed: 06/07/2023]
Abstract
BACKGROUND Whether Intravoxel incoherent motion (IVIM) can be used as a predictive tool of positive surgical margins (PSMs) and Gleason score (GS) upgrading in prostate cancer (PCa) patients after radical prostatectomy (RP) still remains unclear. The aim of this study is to explore the ability of IVIM and clinical characteristics to predict PSMs and GS upgrading. METHODS A total of 106 PCa patients after RP who underwent pelvic mpMRI (multiparametric Magnetic Resonance Imaging) between January 2016 and December 2021 and met the requirements were retrospectively included in our study. IVIM parameters were obtained using GE Functool post-processing software. Logistic regression models were fitted to confirm the predictive risk factor of PSMs and GS upgrading. The area under the curve and fourfold contingency table were used to evaluate the diagnostic efficacy of IVIM and clinical parameters. RESULTS Multivariate logistic regression analyses revealed that percent of positive cores, apparent diffusion coefficient and molecular diffusion coefficient (D) were independent predictors of PSMs (Odds Ratio (OR) were 6.07, 3.62 and 3.16, respectively), Biopsy GS and pseudodiffusion coefficient (D*) were independent predictors of GS upgrading (OR were 0.563 and 7.15, respectively). The fourfold contingency table suggested that combined diagnosis increased the ability of predicting PSMs but had no advantage in predicting GS upgrading except the sensitivity from 57.14 to 91.43%. CONCLUSIONS IVIM showed good performance in predicting PSMs and GS upgrading. Combining IVIM and clinical factors enhanced the performance of predicting PSMs, which may contribute to clinical diagnosis and treatment.
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Affiliation(s)
- Shuang Meng
- Department of Radiological, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, 116011, China
| | - Wanting Gan
- Department of Radiological, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, 116011, China
| | - Lihua Chen
- Department of Radiological, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, 116011, China
| | - Nan Wang
- Department of Radiological, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, 116011, China
| | - Ailian Liu
- Department of Radiological, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, 116011, China.
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13
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Zhong J, Frood R, McWilliam A, Davey A, Shortall J, Swinton M, Hulson O, West CM, Buckley D, Brown S, Choudhury A, Hoskin P, Henry A, Scarsbrook A. Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings. LA RADIOLOGIA MEDICA 2023; 128:765-774. [PMID: 37198374 PMCID: PMC10264289 DOI: 10.1007/s11547-023-01644-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 04/26/2023] [Indexed: 05/19/2023]
Abstract
PURPOSE To develop a machine learning (ML) model based on radiomic features (RF) extracted from whole prostate gland magnetic resonance imaging (MRI) for prediction of tumour hypoxia pre-radiotherapy. MATERIAL AND METHODS Consecutive patients with high-grade prostate cancer and pre-treatment MRI treated with radiotherapy between 01/12/2007 and 1/08/2013 at two cancer centres were included. Cancers were dichotomised as normoxic or hypoxic using a biopsy-based 32-gene hypoxia signature (Ragnum signature). Prostate segmentation was performed on axial T2-weighted (T2w) sequences using RayStation (v9.1). Histogram standardisation was applied prior to RF extraction. PyRadiomics (v3.0.1) was used to extract RFs for analysis. The cohort was split 80:20 into training and test sets. Six different ML classifiers for distinguishing hypoxia were trained and tuned using five different feature selection models and fivefold cross-validation with 20 repeats. The model with the highest mean validation area under the curve (AUC) receiver operating characteristic (ROC) curve was tested on the unseen set, and AUCs were compared via DeLong test with 95% confidence interval (CI). RESULTS 195 patients were included with 97 (49.7%) having hypoxic tumours. The hypoxia prediction model with best performance was derived using ridge regression and had a test AUC of 0.69 (95% CI: 0.14). The test AUC for the clinical-only model was lower (0.57), but this was not statistically significant (p = 0.35). The five selected RFs included textural and wavelet-transformed features. CONCLUSION Whole prostate MRI-radiomics has the potential to non-invasively predict tumour hypoxia prior to radiotherapy which may be helpful for individualised treatment optimisation.
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Affiliation(s)
- Jim Zhong
- Leeds Institute of Medical Research, University of Leeds, Leeds, UK.
- Department of Radiology, Leeds Cancer Centre, St James's University Hospital, Leeds Teaching Hospitals National Health Service (NHS) Trust, Beckett Street, Leeds, LS9 7TF, UK.
| | - Russell Frood
- Leeds Institute of Medical Research, University of Leeds, Leeds, UK
- Department of Radiology, Leeds Cancer Centre, St James's University Hospital, Leeds Teaching Hospitals National Health Service (NHS) Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - Alan McWilliam
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Angela Davey
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Jane Shortall
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Martin Swinton
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Oliver Hulson
- Department of Radiology, Leeds Cancer Centre, St James's University Hospital, Leeds Teaching Hospitals National Health Service (NHS) Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - Catharine M West
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - David Buckley
- Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sarah Brown
- Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research (LICTR), University of Leeds, Leeds, UK
| | - Ananya Choudhury
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Peter Hoskin
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - Ann Henry
- Leeds Institute of Medical Research, University of Leeds, Leeds, UK
- Department of Clinical Oncology, Leeds Cancer Centre, St James's University Hospital, Leeds Teaching Hospitals National Health Service (NHS) Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - Andrew Scarsbrook
- Leeds Institute of Medical Research, University of Leeds, Leeds, UK
- Department of Radiology, Leeds Cancer Centre, St James's University Hospital, Leeds Teaching Hospitals National Health Service (NHS) Trust, Beckett Street, Leeds, LS9 7TF, UK
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14
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Gouel P, Decazes P, Vera P, Gardin I, Thureau S, Bohn P. Advances in PET and MRI imaging of tumor hypoxia. Front Med (Lausanne) 2023; 10:1055062. [PMID: 36844199 PMCID: PMC9947663 DOI: 10.3389/fmed.2023.1055062] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Tumor hypoxia is a complex and evolving phenomenon both in time and space. Molecular imaging allows to approach these variations, but the tracers used have their own limitations. PET imaging has the disadvantage of low resolution and must take into account molecular biodistribution, but has the advantage of high targeting accuracy. The relationship between the signal in MRI imaging and oxygen is complex but hopefully it would lead to the detection of truly oxygen-depleted tissue. Different ways of imaging hypoxia are discussed in this review, with nuclear medicine tracers such as [18F]-FMISO, [18F]-FAZA, or [64Cu]-ATSM but also with MRI techniques such as perfusion imaging, diffusion MRI or oxygen-enhanced MRI. Hypoxia is a pejorative factor regarding aggressiveness, tumor dissemination and resistance to treatments. Therefore, having accurate tools is particularly important.
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Affiliation(s)
- Pierrick Gouel
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Pierre Decazes
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Pierre Vera
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Isabelle Gardin
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Sébastien Thureau
- QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France,Département de Radiothérapie, Centre Henri Becquerel, Rouen, France
| | - Pierre Bohn
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France,*Correspondence: Pierre Bohn,
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15
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Qiu J, Yang T, Long Y, He P, Shen W, Zhang B, Shi X, Peng L, Li Z, Zhang X. Mitochondrial respiration inhibitor enhances the anti-tumor effect of high-dose ascorbic acid in castration-resistant prostate cancer. J Mol Med (Berl) 2023; 101:125-138. [PMID: 36478125 DOI: 10.1007/s00109-022-02273-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 11/08/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022]
Abstract
Previous evidences have demonstrated that anti-tumor effect of high-dose ascorbic acid is associated with the generation of reactive oxygen species (ROS) via autoxidation. Hypoxia induces therapy resistance in castration-resistant prostate cancer. As a mitochondrial respiration inhibitor, metformin has the potential to improve tumor oxygenation. In this study, we evaluate the anti-tumor effect of ascorbic acid combined with metformin in prostate cancer. We demonstrated that ascorbic acid inhibits prostate cancer cells proliferation by generating ROS, and metformin enhances the anti-tumor effects of ascorbic acid. Mechanistically, metformin reduces oxygen consumption rate and NADP+/NADPH value in prostate cancer cells, thereby increases the ROS content induced by ascorbic acid. In addition, our data demonstrated that ascorbic acid inhibits p-AKT signaling in a ROS-dependent pathway, leading to inhibition of p-mTOR expression. And metformin inhibits the p-mTOR expression by activating the AMPK signaling pathway, exerting a synergistic effect on tumor suppression with ascorbic acid. Furthermore, metformin improves tumor oxygenation, and the combined treatment effect of ascorbic acid and metformin were demonstrated in a xenograft model of prostate cancer. Taken together, our data demonstrate that metformin enhances the anti-tumor proliferation effect of ascorbic acid by increasing ROS content in castration-resistant prostate cancer. This provides a new strategy for the clinical application of high-dose ascorbic acid as an anti-tumor drug. KEY MESSAGES: Ascorbic acid inhibits tumor growth by inducing ROS generation. As a mitochondrial respiration inhibitor, metformin inhibits cellular oxygen consumption rate to improve oxygenation of prostate cancer. Metformin enhances anti-tumor effect of ascorbic acid by increasing ROS content. Ascorbic acid inhibits the mTOR expression via PI3K-AKT pathway, and metformin inhibits the mTOR expression by inhibiting AMPK signaling in prostate cancer cells.
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Affiliation(s)
- Jia Qiu
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Tianhong Yang
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yali Long
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Peng He
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Department of Ultrasound Medicine & Ultrasonic Medical Engineering Key Laboratory of Nanchong City, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Wanqing Shen
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Bing Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xinchong Shi
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Lei Peng
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Zhoulei Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xiangsong Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
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Goodburn RJ, Philippens MEP, Lefebvre TL, Khalifa A, Bruijnen T, Freedman JN, Waddington DEJ, Younus E, Aliotta E, Meliadò G, Stanescu T, Bano W, Fatemi‐Ardekani A, Wetscherek A, Oelfke U, van den Berg N, Mason RP, van Houdt PJ, Balter JM, Gurney‐Champion OJ. The future of MRI in radiation therapy: Challenges and opportunities for the MR community. Magn Reson Med 2022; 88:2592-2608. [PMID: 36128894 PMCID: PMC9529952 DOI: 10.1002/mrm.29450] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 01/11/2023]
Abstract
Radiation therapy is a major component of cancer treatment pathways worldwide. The main aim of this treatment is to achieve tumor control through the delivery of ionizing radiation while preserving healthy tissues for minimal radiation toxicity. Because radiation therapy relies on accurate localization of the target and surrounding tissues, imaging plays a crucial role throughout the treatment chain. In the treatment planning phase, radiological images are essential for defining target volumes and organs-at-risk, as well as providing elemental composition (e.g., electron density) information for radiation dose calculations. At treatment, onboard imaging informs patient setup and could be used to guide radiation dose placement for sites affected by motion. Imaging is also an important tool for treatment response assessment and treatment plan adaptation. MRI, with its excellent soft tissue contrast and capacity to probe functional tissue properties, holds great untapped potential for transforming treatment paradigms in radiation therapy. The MR in Radiation Therapy ISMRM Study Group was established to provide a forum within the MR community to discuss the unmet needs and fuel opportunities for further advancement of MRI for radiation therapy applications. During the summer of 2021, the study group organized its first virtual workshop, attended by a diverse international group of clinicians, scientists, and clinical physicists, to explore our predictions for the future of MRI in radiation therapy for the next 25 years. This article reviews the main findings from the event and considers the opportunities and challenges of reaching our vision for the future in this expanding field.
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Affiliation(s)
- Rosie J. Goodburn
- Joint Department of PhysicsInstitute of Cancer Research and Royal Marsden NHS Foundation TrustLondonUnited Kingdom
| | | | - Thierry L. Lefebvre
- Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Cancer Research UK Cambridge Research InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Aly Khalifa
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Tom Bruijnen
- Department of RadiotherapyUniversity Medical Center UtrechtUtrechtNetherlands
| | | | - David E. J. Waddington
- Faculty of Medicine and Health, Sydney School of Health Sciences, ACRF Image X InstituteThe University of SydneySydneyNew South WalesAustralia
| | - Eyesha Younus
- Department of Medical Physics, Odette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Eric Aliotta
- Department of Medical PhysicsMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Gabriele Meliadò
- Unità Operativa Complessa di Fisica SanitariaAzienda Ospedaliera Universitaria Integrata VeronaVeronaItaly
| | - Teo Stanescu
- Department of Radiation Oncology, University of Toronto and Medical Physics, Princess Margaret Cancer CentreUniversity Health NetworkTorontoOntarioCanada
| | - Wajiha Bano
- Joint Department of PhysicsInstitute of Cancer Research and Royal Marsden NHS Foundation TrustLondonUnited Kingdom
| | - Ali Fatemi‐Ardekani
- Department of PhysicsJackson State University (JSU)JacksonMississippiUSA
- SpinTecxJacksonMississippiUSA
- Department of Radiation OncologyCommunity Health Systems (CHS) Cancer NetworkJacksonMississippiUSA
| | - Andreas Wetscherek
- Joint Department of PhysicsInstitute of Cancer Research and Royal Marsden NHS Foundation TrustLondonUnited Kingdom
| | - Uwe Oelfke
- Joint Department of PhysicsInstitute of Cancer Research and Royal Marsden NHS Foundation TrustLondonUnited Kingdom
| | - Nico van den Berg
- Department of RadiotherapyUniversity Medical Center UtrechtUtrechtNetherlands
| | - Ralph P. Mason
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Petra J. van Houdt
- Department of Radiation OncologyNetherlands Cancer InstituteAmsterdamNetherlands
| | - James M. Balter
- Department of Radiation OncologyUniversity of MichiganAnn ArborMichiganUSA
| | - Oliver J. Gurney‐Champion
- Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam UMCUniversity of AmsterdamAmsterdamNetherlands
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Tang J, Zhang X, Chang H, Wang D. Investigating the effect of ARHGEF10L gene on tumor growth in gastric cancer in a nude mouse model using quantitative MRI parameters. J Cancer Res Ther 2022; 18:1926-1930. [PMID: 36647951 DOI: 10.4103/jcrt.jcrt_816_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background The quantitative magnetic resonance imaging (MRI) parameters were initially used in the study of central nervous system diseases and has since been widely used in the diagnosis of breast, liver, rectum, and prostate diseases. In our study, we aimed to evaluate the effect of ARHGEF10L gene on tumor growth in gastric cancer in nude mice using quantitative MRI parameters. Subjects and Methods A nude mice model of gastric cancer was established, and the mice were divided into a control group and an shARHGEF10L group (N = 10). T2-fs and intravoxel incoherent motions (IVIM) imaging were performed in the mice coil with a 3.0 T MR system. The differences in quantitative parameters (apparent diffusion coefficient [ADC], D, D *, f values) were compared between both groups, and the effect of ARHGEF10L expression on tumor growth in tumor-bearing mice was investigated. The data were analyzed using Statistical Package for the Social Sciences (SPSS) 17.0 software package. Results The ADC and D values of tumor imaging in the shARHGEF10L group were higher than those in the control group, and the differences were statistically significant. There was no significant difference in the D* or F values between both groups. Conclusions The ADC and D values of the quantitative IVIM imaging parameters can be used to effectively assess the growth of gastric cancer in nude mice, suggesting that ARHGEF10L may promote the growth of tumor cells.
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Affiliation(s)
- Junyi Tang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key of Laboratory of Laboratory Medicine, Jinan, Shandong, China
| | - Xuping Zhang
- Department of Medicine Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key of Laboratory of Abdominal Medical Imaging, Jinan, Shandong, China
| | - Huan Chang
- Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong, China
| | - Dawei Wang
- Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key of Laboratory of Abdominal Medical Imaging, Shandong Lung Cancer Institute, Shandong institute of Neuroimmunology, Jinan, Shandong, P. R. China
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18
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Skipar K, Hompland T, Lund KV, Løndalen A, Malinen E, Kristensen GB, Lindemann K, Nakken ES, Bruheim K, Lyng H. Risk of recurrence after chemoradiotherapy identified by multimodal MRI and 18F-FDG-PET/CT in locally advanced cervical cancer. Radiother Oncol 2022; 176:17-24. [PMID: 36113778 DOI: 10.1016/j.radonc.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/24/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE MRI, applying dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) sequences, and 18F-fluorodeoxyglucose (18F-FDG) PET/CT provide information about tumor aggressiveness that is unexploited in treatment of locally advanced cervical cancer (LACC). We investigated the potential of a multimodal combination of imaging parameters for classifying patients according to their risk of recurrence. MATERIALS AND METHODS Eighty-two LACC patients with diagnostic MRI and FDG-PET/CT, treated with chemoradiotherapy, were collected. Thirty-eight patients with MRI only were included for validation of MRI results. Endpoints were survival (disease-free, cancer-specific, overall) and tumor control (local, locoregional, distant). Ktrans, reflecting vascular function, apparent diffusion coefficient (ADC), reflecting cellularity, and standardized uptake value (SUV), reflecting glucose uptake, were extracted from DCE-MR, DW-MR and FDG-PET images, respectively. By applying an oxygen consumption and supply-based method, ADC and Ktrans parametric maps were voxel-wise combined into hypoxia images that were used to determine hypoxic fraction (HF). RESULTS HF showed a stronger association with outcome than the single modality parameters. This association was confirmed in the validation cohort. Low HF identified low-risk patients with 95% precision. Based on the 50th SUV-percentile (SUV50), patients with high HF were divided into an intermediate- and high-risk group with high and low SUV50, respectively. This defined a multimodality biomarker, HF/SUV50. HF/SUV50 increased the precision of detecting high-risk patients from 41% (HF alone) to 57% and showed prognostic significance in multivariable analysis for all endpoints. CONCLUSION Multimodal combination of MR- and FDG-PET/CT-images improves classification of LACC patients compared to single modality images and clinical factors.
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Affiliation(s)
- Kjersti Skipar
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Oncology, Telemark Hospital Trust, Skien, Norway; Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Tord Hompland
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | - Kjersti Vassmo Lund
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ayca Løndalen
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Eirik Malinen
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway
| | - Gunnar B Kristensen
- Department of Gynecological Oncology, Oslo University Hospital, Oslo, Norway
| | - Kristina Lindemann
- Department of Gynecological Oncology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Esten S Nakken
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Kjersti Bruheim
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Heidi Lyng
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway.
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Léost F, Delpon G, Garcion E, Gestin JF, Hatt M, Potiron V, Rbah-Vidal L, Supiot S. ["Adaptation of the tumour and its ecosystem to radiotherapies: Mechanisms, imaging and therapeutic approaches" XIVth edition of the workshop organised by the "Vectorisation, Imagerie, Radiothérapies" network of the Cancéropôle Grand-Ouest, 22-25 September 2021, Le Bono, France]. Bull Cancer 2022; 109:1088-1093. [PMID: 35908990 DOI: 10.1016/j.bulcan.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 10/16/2022]
Abstract
The fourteenth edition of the workshop covered the latest advances in internal and external radiotherapy obtained through a better understanding of the adaptive capacity of the tumor and its microenvironment, from different disciplinary angles, chemistry, biology, physics, and medicine, paving the way for numerous technological innovations. The biological aspects and the contribution of imaging in monitoring and understanding the adaptation of tumors to radiotherapy were presented, before focusing on innovative radiotherapy strategies and machine learning and data-driven techniques. Finally, the challenges were explored in the radiobiology of targeted radionuclide therapy as well as data science and machine learning in radiomics.
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Affiliation(s)
- Françoise Léost
- Cancéropôle Grand-Ouest, IRS-UN, 8, quai Moncousu, 44007 Nantes cedex 1, France.
| | - Grégory Delpon
- Institut de Cancérologie de l'Ouest, département de physique médicale, boulevard Jacques-Monod, 44800 Nantes Saint-Herblain, France
| | - Emmanuel Garcion
- Université d'Angers, Nantes université, Inserm UMR 1307, CNRS UMR 6075, CRCI2NA, 49000 Angers, France
| | - Jean-François Gestin
- Nantes Université, université d'Angers, Inserm UMR 1307, CNRS UMR 6075, CRCI2NA, 44000 Nantes, France
| | - Mathieu Hatt
- LaTIM, Inserm, UMR 1101, IBSAM, UBO, UBL, 22, rue Camille-Desmoulins, 29238 Brest, France
| | - Vincent Potiron
- Institut de cancérologie de l'Ouest, département de radiothérapie, boulevard Jacques-Monod, 44800 Nantes Saint-Herblain, France
| | - Latifa Rbah-Vidal
- Nantes Université, université d'Angers, Inserm UMR 1307, CNRS UMR 6075, CRCI2NA, 44000 Nantes, France
| | - Stéphane Supiot
- Institut de cancérologie de l'Ouest, département de radiothérapie, boulevard Jacques-Monod, 44800 Nantes Saint-Herblain, France
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20
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Wang D, Lu Y, Li X, Mei N, Wu PY, Geng D, Wu H, Yin B. Evaluation of HIF-1α Expression in a Rat Glioma Model Using Intravoxel Incoherent Motion and R2* Mapping. Front Oncol 2022; 12:902612. [PMID: 35785202 PMCID: PMC9248438 DOI: 10.3389/fonc.2022.902612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Accurate evaluation of HIF-1α levels can facilitate the detection of hypoxia niches in glioma and treatment decisions. To investigate the feasibility of intravoxel incoherent motion (IVIM) and R2* Mapping for detecting HIF-1α expression levels, sixteen rats with intracranial C6 gliomas were subjected to IVIM and R2* Mapping using a 7 Tesla MRI scanner. For each model, the brain tissue on the HIF-1α-stained slices was subdivided into multiple square regions of interest (ROIs) with areas of 1 mm2, for which HIF-1α expression was assessed by HALO software to form a maps of HIF scores with a 0–300 range. The IVIM and R2* Mapping images were processed to create maps of the D, D*, f and R2* that were then paired with the corresponding HIF score maps. The average D, D*, f, perfusion (f × D*) and R2* values were calculated for the ROIs in the tumor and normal brain regions with different HIF-1α levels and used in further analysis. In this study, the average tumor size of sixteen C6 model rats was 458 ± 46.52 mm3, and the 482 included ROIs consisted of 280 tumoral and 202 normal ROIs. The average HIF score for the tumor regions was significantly higher than normal brain tissue (p < 0.001), and higher HIF scores were obtained for the central part of tumors than peripheral parts (p=0.03). Compared with normal brain tissues, elevated perfusion and f values were observed in tumor regions (p = 0.021, 0.004). In tumoral ROIs, the R2* values were higher in the group with high HIF-1α expression than in the group with low HIF-1α expression (p = 0.003). A correlation analysis revealed a positive correlation between the R2* value and HIF scores (r = 0.43, p < 0.001) and a negative correlation between D* and the HIF scores (r = -0.30, p = 0.001). Discrepancies in HIF-1α expression were found among different intratumoral areas, and IVIM and R2* Mapping were found to be promising means of noninvasive detection of the distribution and expression level of HIF-1α.
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Affiliation(s)
- Dongdong Wang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yiping Lu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuanxuan Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Nan Mei
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Pu-Yeh Wu
- Department of MR Research, GE Healthcare, Shanghai, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Hao Wu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Hao Wu, ; Bo Yin,
| | - Bo Yin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Hao Wu, ; Bo Yin,
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21
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Kooreman ES, van Pelt V, Nowee ME, Pos F, van der Heide UA, van Houdt PJ. Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients. Front Oncol 2022; 12:897130. [PMID: 35747819 PMCID: PMC9210504 DOI: 10.3389/fonc.2022.897130] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Intravoxel incoherent motion (IVIM) is a promising technique that can acquire perfusion information without the use of contrast agent, contrary to the more established dynamic contrast-enhanced (DCE) technique. This is of interest for treatment response monitoring, where patients can be imaged on each treatment fraction. In this study, longitudinal correlations between IVIM- and DCE parameters were assessed in prostate cancer patients receiving radiation treatment. Materials and Methods 20 prostate cancer patients were treated on a 1.5 T MR-linac with 20 x 3 or 3.1 Gy. Weekly IVIM and DCE scans were acquired. Tumors, the peripheral zone (PZ), and the transition zone (TZ) were delineated on a T2-weighted scan acquired on the first fraction. IVIM and DCE scans were registered to this scan and the delineations were propagated. Median values from these delineations were used for further analysis. The IVIM parameters D, f, D* and the product fD* were calculated. The Tofts model was used to calculate the DCE parameters Ktrans, kep and ve. Pearson correlations were calculated for the IVIM and DCE parameters on values from the first fraction for each region of interest (ROI). For longitudinal analysis, the repeated measures correlation coefficient was used to determine correlations between IVIM and DCE parameters in each ROI. Results When averaging over patients, an increase during treatment in all IVIM and DCE parameters was observed in all ROIs, except for D in the PZ and TZ. No significant Pearson correlations were found between any pair of IVIM and DCE parameters measured on the first fraction. Significant but low longitudinal correlations were found for some combinations of IVIM and DCE parameters in the PZ and TZ, while no significant longitudinal correlations were found in the tumor. Notably in the TZ, for both f and fD*, significant longitudinal correlations with all DCE parameters were found. Conclusions The increase in IVIM- and DCE parameters when averaging over patients indicates a measurable response to radiation treatment with both techniques. Although low, significant longitudinal correlations were found which suggests that IVIM could potentially be used as an alternative to DCE for treatment response monitoring.
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22
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O'Reilly D, Buchanan PJ. Hypoxic Signaling Is Modulated by Calcium Channel, CaV1.3, in Androgen-Resistant Prostate Cancer. Bioelectricity 2022. [DOI: 10.1089/bioe.2022.0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Debbie O'Reilly
- DCU Cancer Research Group, National Institute Cellular Biotechnology, School of Nursing, Psychotherapy and Community Health, Dublin City University (DCU), Dublin, Ireland
| | - Paul J. Buchanan
- DCU Cancer Research Group, National Institute Cellular Biotechnology, School of Nursing, Psychotherapy and Community Health, Dublin City University (DCU), Dublin, Ireland
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23
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Xu L, Wang F. LINC00936 exacerbated myocardial infarction progression via miR-4795-3p/Wnt3a signaling pathway based on biological and imaging methods. Perfusion 2022; 38:706-716. [PMID: 35410528 DOI: 10.1177/02676591221076788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE LncRNAs show great potential in diagnosing and treating myocardial infarction (MI). Clarifying the mechanism of lncRNAs on MI is of great significance for the application of MI biomarkers. Therefore, this report intended to determine the role and mechanism of LINC00936 on MI by biological and imaging methods. METHODS Hypoxia H9C2 model was established by hypoxia treatment. Flow cytometry and terminal deoxynucleotidyl transferase dUTP nick end labeling assay detected the apoptosis of H9C2. H2DCFDA staining and enzyme-linked immunosorbent assay (ELISA) was used to detect the reactive oxygen species (ROS) accumulation and Lactate dehydrogenase (LDH) contents, respectively. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect LINC00936, Wnt3a and miR-4795-3p levels. Western blot detected Wnt3a protein expression. Dual luciferase reporter assays detected the relationship of miR-4795-3p to LINC00936 or Wnt3a. Echocardiography analysis detected cardiac function. 2,3,5-Triphenyltetrazolium chloride (TTC) detected the infarct size. Masson staining detected the pathological changes. RESULTS LINC00936 level was elevated in the MI patients compared with the controls. Overexpression of LINC00936 promoted apoptosis and ROS accumulation in hypoxia H9C2 model and exacerbated MI progression in vivo. miR-4795-3p bound with LINC00936 in H9C2 cells and miR-4795-3p mimics inhibited apoptosis and ROS accumulation in hypoxia H9C2 model regulated by LINC00936. Wnt3a was targeted by miR-4795-3p and Wnt3a elevation promoted apoptosis and ROS accumulation in hypoxia H9C2 model. CONCLUSION In this report, we illustrated that LINC00936 exacerbated MI progression via the miR-4795-3p/Wnt3a signaling pathway based on biological and imaging methods. These findings might provide potential molecular target for the diagnosis and treatment of MI.
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Affiliation(s)
- Lvyun Xu
- Department of Emergency, Affiliated Taikang Xianlin Drum Tower Hospital, 117559Medical School of Nanjing University, Nanjing, China
| | - Fan Wang
- Department of Radiology, Nanjing BenQ Medical Center, 189779The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
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24
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A prognostic hypoxia gene signature with low heterogeneity within the dominant tumour lesion in prostate cancer patients. Br J Cancer 2022; 127:321-328. [PMID: 35332267 PMCID: PMC9296675 DOI: 10.1038/s41416-022-01782-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 01/10/2022] [Accepted: 03/08/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Gene signatures measured in a biopsy have been proposed as hypoxia biomarkers in prostate cancer. We assessed a previously developed signature, and aimed to determine its relationship to hypoxia and its heterogeneity within the dominant (index) lesion of prostate cancer. METHODS The 32-gene signature was assessed from gene expression data of 141 biopsies from the index lesion of 94 patients treated with prostatectomy. A gene score calculated from the expression levels was applied in the analyses. Hypoxic fraction from pimonidazole immunostained whole-mount and biopsy sections was used as reference standard for hypoxia. RESULTS The gene score was correlated with pimonidazole-defined hypoxic fraction in whole-mount sections, and the two parameters showed almost equal association with clinical markers of tumour aggressiveness. Based on the gene score, incorrect classification according to hypoxic fraction in whole-mount sections was seen in one third of the patients. The incorrect classifications were apparently not due to intra-tumour heterogeneity, since the score had low heterogeneity compared to pimonidazole-defined hypoxic fraction in biopsies. The score showed prognostic significance in uni-and multivariate analysis in independent cohorts. CONCLUSIONS Our signature from the index lesion reflects tumour hypoxia and predicts prognosis in prostate cancer, independent of intra-tumour heterogeneity in pimonidazole-defined hypoxia.
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25
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Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast Cancer. Cancers (Basel) 2022; 14:cancers14051326. [PMID: 35267636 PMCID: PMC8909402 DOI: 10.3390/cancers14051326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Hypoxia in solid tumors is common in most solid cancers and is associated with treatment resistance to both chemo- and radiation-therapy. There is also reason to believe that hypoxia is an important determinant of metastic disease. Identifying hypoxia in solid tumors is important in treatment planning and decision making. In 2018 Hompland et al. proposed a method, based on quantifying consumption and supply of oxygen from diffusion weighted magnetic resonance imaging, to estimate the hypoxic fraction of a solid tumor. The method was based on training model parameters on a known hypoxia state in prostate cancer. In the present study we verified the validity of the consumption and supply concept in breast cancer. Furthermore, we developed and validated a new approach to the concept that does not require a ground truth to train the parameters. Abstract The purpose of the present study is to investigate if consumption and supply hypoxia (CSH) MR-imaging can depict breast cancer hypoxia, using the CSH-method initially developed for prostate cancer. Furthermore, to develop a generalized pan-cancer application of the CSH-method that doesn’t require a hypoxia reference standard for training the CSH-parameters. In a cohort of 69 breast cancer patients, we generated, based on the principles of intravoxel incoherent motion modelling, images reflecting cellular density (apparent diffusion coefficient; ADC) and vascular density (perfusion fraction; fp). Combinations of the information in these images were compared to a molecular hypoxia score made from gene expression data, aiming to identify a way to apply the CSH-methodology in breast cancer. Attempts to adapt previously proposed models for prostate cancer included direct transfers and model parameter rescaling. A novel approach, based on rescaling ADC and fp data to give more nuanced response in the relevant physiologic range, was also introduced. The new CSH-method was validated in a prostate cancer cohort with known hypoxia status. The proposed CSH-method gave estimates of hypoxia that was strongly correlated to the molecular hypoxia score in breast cancer, and hypoxia as measured in pathology slices stained with pimonidazole in prostate cancer. The generalized approach to CSH-imaging depicted hypoxia in both breast and prostate cancers and requires no model training. It is easy to implement using readily available technology and encourages further investigation of CSH-imaging in other cancer entities and in other settings, with the goal being to overcome hypoxia-induced resistance to treatment.
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26
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Lefebvre TL, Brown E, Hacker L, Else T, Oraiopoulou ME, Tomaszewski MR, Jena R, Bohndiek SE. The Potential of Photoacoustic Imaging in Radiation Oncology. Front Oncol 2022; 12:803777. [PMID: 35311156 PMCID: PMC8928467 DOI: 10.3389/fonc.2022.803777] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.
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Affiliation(s)
- Thierry L. Lefebvre
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Emma Brown
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lina Hacker
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Else
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Mariam-Eleni Oraiopoulou
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Michal R. Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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27
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Yang L, TeSlaa T, Ng S, Nofal M, Wang L, Lan T, Zeng X, Cowan A, McBride M, Lu W, Davidson S, Liang G, Oh TG, Downes M, Evans R, Von Hoff D, Guo JY, Han H, Rabinowitz JD. Ketogenic diet and chemotherapy combine to disrupt pancreatic cancer metabolism and growth. MED 2022; 3:119-136. [PMID: 35425930 PMCID: PMC9004683 DOI: 10.1016/j.medj.2021.12.008] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Ketogenic diet is a potential means of augmenting cancer therapy. Here, we explore ketone body metabolism and its interplay with chemotherapy in pancreatic cancer. Methods Metabolism and therapeutic responses of murine pancreatic cancer were studied using KPC primary tumors and tumor chunk allografts. Mice on standard high-carbohydrate diet or ketogenic diet were treated with cytotoxic chemotherapy (nab-paclitaxel, gemcitabine, cisplatin). Metabolic activity was monitored with metabolomics and isotope tracing, including 2H- and 13C-tracers, liquid chromatography-mass spectrometry, and imaging mass spectrometry. Findings Ketone bodies are unidirectionally oxidized to make NADH. This stands in contrast to the carbohydrate-derived carboxylic acids lactate and pyruvate, which rapidly interconvert, buffering NADH/NAD. In murine pancreatic tumors, ketogenic diet decreases glucose's concentration and tricarboxylic acid cycle contribution, enhances 3-hydroxybutyrate's concentration and tricarboxylic acid contribution, and modestly elevates NADH, but does not impact tumor growth. In contrast, the combination of ketogenic diet and cytotoxic chemotherapy substantially raises tumor NADH and synergistically suppresses tumor growth, tripling the survival benefits of chemotherapy alone. Chemotherapy and ketogenic diet also synergize in immune-deficient mice, although long-term growth suppression was only observed in mice with an intact immune system. Conclusions Ketogenic diet sensitizes murine pancreatic cancer tumors to cytotoxic chemotherapy. Based on these data, we have initiated a randomized clinical trial of chemotherapy with standard versus ketogenic diet for patients with metastatic pancreatic cancer (NCT04631445).
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Affiliation(s)
- Lifeng Yang
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tara TeSlaa
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Serina Ng
- Molecular Medicine Division, The Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Michel Nofal
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Lin Wang
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 5 Dong Dan San Tiao, Dongcheng District, Beijing 100005, China
| | - Taijin Lan
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Xianfeng Zeng
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Alexis Cowan
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Matthew McBride
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Wenyun Lu
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Shawn Davidson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Gaoyang Liang
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Tae Gyu Oh
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Michael Downes
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Ronald Evans
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Daniel Von Hoff
- Molecular Medicine Division, The Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jessie Yanxiang Guo
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Chemical Biology, Rutgers Ernest Mario School of Pharmacy, Piscataway, NJ, USA
| | - Haiyong Han
- Molecular Medicine Division, The Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Joshua D. Rabinowitz
- Department of Chemistry, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Ludwig Institute for Cancer Research, Princeton Branch, Princeton, NJ, USA
- Lead contact
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28
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Lee CC, Chang KH, Chiu FM, Ou YC, Hwang JI, Hsueh KC, Fan HC. Using IVIM Parameters to Differentiate Prostate Cancer and Contralateral Normal Tissue through Fusion of MRI Images with Whole-Mount Pathology Specimen Images by Control Point Registration Method. Diagnostics (Basel) 2021; 11:diagnostics11122340. [PMID: 34943577 PMCID: PMC8700385 DOI: 10.3390/diagnostics11122340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/04/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
The intravoxel incoherent motion (IVIM) model may enhance the clinical value of multiparametric magnetic resonance imaging (mpMRI) in the detection of prostate cancer (PCa). However, while past IVIM modeling studies have shown promise, they have also reported inconsistent results and limitations, underscoring the need to further enhance the accuracy of IVIM modeling for PCa detection. Therefore, this study utilized the control point registration toolbox function in MATLAB to fuse T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) MRI images with whole-mount pathology specimen images in order to eliminate potential bias in IVIM calculations. Sixteen PCa patients underwent prostate MRI scans before undergoing radical prostatectomies. The image fusion method was then applied in calculating the patients’ IVIM parameters. Furthermore, MRI scans were also performed on 22 healthy young volunteers in order to evaluate the changes in IVIM parameters with aging. Among the full study cohort, the f parameter was significantly increased with age, while the D* parameter was significantly decreased. Among the PCa patients, the D and ADC parameters could differentiate PCa tissue from contralateral normal tissue, while the f and D* parameters could not. The presented image fusion method also provided improved precision when comparing regions of interest side by side. However, further studies with more standardized methods are needed to further clarify the benefits of the presented approach and the different IVIM parameters in PCa characterization.
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Affiliation(s)
- Cheng-Chun Lee
- Division of Diagnostic Radiology, Department of Medical Imaging, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan; (C.-C.L.); (J.-I.H.)
| | - Kuang-Hsi Chang
- Department of Medical Research, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan;
- Center for General Education, China Medical University, Taichung 404, Taiwan
- General Education Center, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli 356, Taiwan
| | - Feng-Mao Chiu
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
| | - Yen-Chuan Ou
- Division of Urology, Department of Surgery, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan;
| | - Jen-I. Hwang
- Division of Diagnostic Radiology, Department of Medical Imaging, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan; (C.-C.L.); (J.-I.H.)
- Department of Radiology, National Defense Medical Center, Taipei 11490, Taiwan
| | - Kuan-Chun Hsueh
- Division of General Surgery, Department of Surgery, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan;
| | - Hueng-Chuen Fan
- Department of Medical Research, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan;
- Department of Pediatrics, Tungs’ Taichung Metroharbor Hospital, Taichung 43503, Taiwan
- Department of Life Sciences, National Chung Hsing University, Taichung 40227, Taiwan
- Department of Rehabilitation, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli 356, Taiwan
- Correspondence: ; Tel.: +886-426-581-919 (ext. 4301)
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Results from a PI-RADS-based MRI-directed diagnostic pathway for biopsy-naive patients in a non-university hospital. Abdom Radiol (NY) 2021; 46:5639-5646. [PMID: 34417637 PMCID: PMC8590681 DOI: 10.1007/s00261-021-03249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 11/27/2022]
Abstract
Purpose To assess the safety and performance of a MRI-directed diagnostic pathway for patients with first-time suspicion of prostate cancer in a non-university hospital. Methods Between May 2017 and December 2018 all biopsy-naive patients examined in our hospital followed a MRI-directed diagnostic work-up algorithm based on PI-RADS score. In short, PI-RADS 1–2 was generally not biopsied and PI-RADS 3–5 was reviewed by a multidisciplinary team. Patients with PI-RADS 4-5 were all referred to biopsy, either transrectal ultrasound-guided biopsy or MRI in-bore biopsy for small tumors and for sites difficult to access. PI-RADS scores were compared to the histopathology from biopsies and surgical specimens for patients who had prostatectomy. Non-biopsied patients were referred to a safety net monitoring regimen. Results Two hundred and ninety-eight men were enrolled. 97 (33%) had PI-RADS 1–2, 44 (15%) had PI-RADS 3, and 157 (53%) had PI-RADS 4–5. 116 (39%) of the patients avoided biopsy. None of these were diagnosed with significant cancer within 2–3.5 years of safety net monitoring. Almost all high ISUP grade groups (≥ 3) were in the PI-RADS 4–5 category (98%). Prostatectomy specimens and systematic biopsies from MRI-negative areas indicated that very few clinically significant cancers were missed by the MRI-directed diagnostic pathway. Conclusion Our findings add to evidence that a MRI-directed diagnostic pathway can be safely established in a non-university hospital. The pathway reduced the number of biopsies and reliably detected the site of the most aggressive cancers. Graphic abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1007/s00261-021-03249-8.
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Wadsworth BJ, Decotret LR, Villamil C, Yapp D, Wilson D, Benard F, McKenzie M, Bennewith KL. Evaluation of 18F-EF5 for detection of hypoxia in localized adenocarcinoma of the prostate. Acta Oncol 2021; 60:1489-1498. [PMID: 34379579 DOI: 10.1080/0284186x.2021.1959636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND A common feature of solid tumours that are resistant to therapy is the presence of regions with low oxygen content (i.e., hypoxia). Oxygen electrode studies suggest that localized prostate adenocarcinoma is commonly hypoxic, although conflicting data have been reported between immunohistochemical detection of hypoxia-induced proteins in biopsy specimens and positron emission tomography (PET) imaging of 18F-labeled hypoxia reporters. Although the 2-nitroimidazole 18F-EF5 is well-established to label hypoxic tumour cells in pre-clinical tumour models and clinical trials of multiple primary tumour sites, it has yet to be tested in prostate cancer. The purpose of this study was to evaluate the feasibility of using 18F-EF5 to detect hypoxia in clinical prostate tumours. MATERIAL AND METHODS Patients with localized adenocarcinoma of the prostate were recruited for pre-treatment 18F-EF5 PET scans. Immunohistochemistry was conducted on diagnostic biopsies to assess the expression of glucose transporter 1 (GLUT1), osteopontin (OPN), and carbonic anhydrase IX (CAIX). Immunoreactivity scores of staining intensity and frequency were used to indicate the presence of tumour hypoxia. RESULTS We found low tumour-to-muscle ratios of 18F-EF5 uptake that were not consistent with tumour hypoxia, causing early termination of the study. However, we observed GLUT1 and OPN expression in all prostate tumour biopsies, indicating the presence of hypoxia in all tumours. CONCLUSION Our data do not support the use of 18F-EF5 PET to detect hypoxia in prostate adenocarcinoma, and suggest the use of immunohistochemistry to quantify expression of the hypoxia-inducible proteins GLUT1 and OPN as indications of prostate tumour hypoxia.
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Affiliation(s)
- Brennan J. Wadsworth
- Integrative Oncology, BC Cancer, Vancouver, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Lisa R. Decotret
- Integrative Oncology, BC Cancer, Vancouver, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | | | - Donald Yapp
- Experimental Therapeutics, BC Cancer, Vancouver, Canada
| | - Don Wilson
- Functional Imaging, BC Cancer, Vancouver, Canada
| | - Francois Benard
- Functional Imaging, BC Cancer, Vancouver, Canada
- Molecular Oncology, BC Cancer, Vancouver, Canada
| | | | - Kevin L. Bennewith
- Integrative Oncology, BC Cancer, Vancouver, Canada
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
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31
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Kooreman ES, van Houdt PJ, Keesman R, van Pelt VWJ, Nowee ME, Pos F, Sikorska K, Wetscherek A, Müller AC, Thorwarth D, Tree AC, van der Heide UA. Daily Intravoxel Incoherent Motion (IVIM) In Prostate Cancer Patients During MR-Guided Radiotherapy-A Multicenter Study. Front Oncol 2021; 11:705964. [PMID: 34485138 PMCID: PMC8415108 DOI: 10.3389/fonc.2021.705964] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/16/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Daily quantitative MR imaging during radiotherapy of cancer patients has become feasible with MRI systems integrated with linear accelerators (MR-linacs). Quantitative images could be used for treatment response monitoring. With intravoxel incoherent motion (IVIM) MRI, it is possible to acquire perfusion information without the use of contrast agents. In this multicenter study, daily IVIM measurements were performed in prostate cancer patients to identify changes that potentially reflect response to treatment. MATERIALS AND METHODS Forty-three patients were included, treated with 20 fractions of 3 Gy on a 1.5 T MR-linac. IVIM measurements were performed on each treatment day. The diffusion coefficient (D), perfusion fraction (f), and pseudo-diffusion coefficient (D*) were calculated based on the median signal intensities in the non-cancerous prostate and the tumor. Repeatability coefficients (RCs) were determined based on the first two treatment fractions. Separate linear mixed-effects models were constructed for the three IVIM parameters. RESULTS In total, 726 fractions were analyzed. Pre-treatment average values, measured on the first fraction before irradiation, were 1.46 × 10-3 mm2/s, 0.086, and 28.7 × 10-3 mm2/s in the non-cancerous prostate and 1.19 × 10-3 mm2/s, 0.088, and 28.9 × 10-3 mm2/s in the tumor, for D, f, and D*, respectively. The repeatability coefficients for D, f, and D* in the non-cancerous prostate were 0.09 × 10-3 mm2/s, 0.05, and 15.3 × 10-3 mm2/s. In the tumor, these values were 0.44 × 10-3 mm2/s, 0.16, and 76.4 × 10-3 mm2/s. The mixed effects analysis showed an increase in D of the tumors over the course of treatment, while remaining stable in the non-cancerous prostate. The f and D* increased in both the non-cancerous prostate and tumor. CONCLUSIONS It is feasible to perform daily IVIM measurements on an MR-linac system. Although the repeatability coefficients were high, changes in IVIM perfusion parameters were measured on a group level, indicating that IVIM has potential for measuring treatment response.
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Affiliation(s)
- Ernst S. Kooreman
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Petra J. van Houdt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Rick Keesman
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Vivian W. J. van Pelt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Marlies E. Nowee
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Floris Pos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Karolina Sikorska
- Department of Biometrics, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Andreas Wetscherek
- Joint Department of Physics, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom
| | | | - Daniela Thorwarth
- Section of Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Alison C. Tree
- Joint Department of Physics, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom
| | - Uulke A. van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
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Thenault R, Gasmi A, Khene ZE, Bensalah K, Mathieu R. Radiogenomics in prostate cancer evaluation. Curr Opin Urol 2021; 31:424-429. [PMID: 34009176 DOI: 10.1097/mou.0000000000000902] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW Radiogenomics, fusion between radiomics and genomics, represents a new field of research to improve cancer comprehension and evaluation. In this review, we give an overview of radiogenomics and its most recent and relevant applications in prostate cancer management. RECENT FINDINGS Literature about radiogenomics in prostate cancer emerged last 5 years but remains scarce. Radiogenomics in prostate cancer mainly rely on MRI-based features. Several imaging biomarkers, mostly based on the identification of radiomic features from deep learning studies, have been studied for the prediction of genomic profiles, such as PTEN Decipher Oncotype DX or Prolaris expression. However, despite promising results, several limitations still preclude any integration of radiogenomics in daily practice. SUMMARY In the future, the emergence of artificial intelligence in urology, with an increasing use of radiomics and genomics data, may enable radiogenomics to assume a growing role in the evaluation of prostate cancer, with a noninvasive and personal approach in the field of personalized medicine. Further efforts are necessary for integration of this promising approach in prostate cancer decision-making.
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Affiliation(s)
- Ronan Thenault
- Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou
| | - Anis Gasmi
- Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou
| | - Zine-Edine Khene
- Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou
| | - Karim Bensalah
- Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou
| | - Romain Mathieu
- Department of Urology, Service d'urologie, Rennes University Hospital, Hôpital Pontchaillou
- IRSET, Rennes, France
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Wang YF, Tadimalla S, Hayden AJ, Holloway L, Haworth A. Artificial intelligence and imaging biomarkers for prostate radiation therapy during and after treatment. J Med Imaging Radiat Oncol 2021; 65:612-626. [PMID: 34060219 DOI: 10.1111/1754-9485.13242] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/18/2021] [Accepted: 05/02/2021] [Indexed: 12/15/2022]
Abstract
Magnetic resonance imaging (MRI) is increasingly used in the management of prostate cancer (PCa). Quantitative MRI (qMRI) parameters, derived from multi-parametric MRI, provide indirect measures of tumour characteristics such as cellularity, angiogenesis and hypoxia. Using Artificial Intelligence (AI), relevant information and patterns can be efficiently identified in these complex data to develop quantitative imaging biomarkers (QIBs) of tumour function and biology. Such QIBs have already demonstrated potential in the diagnosis and staging of PCa. In this review, we explore the role of these QIBs in monitoring treatment response during and after PCa radiotherapy (RT). Recurrence of PCa after RT is not uncommon, and early detection prior to development of metastases provides an opportunity for salvage treatments with curative intent. However, the current method of monitoring treatment response using prostate-specific antigen levels lacks specificity. QIBs, derived from qMRI and developed using AI techniques, can be used to monitor biological changes post-RT providing the potential for accurate and early diagnosis of recurrent disease.
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Affiliation(s)
- Yu-Feng Wang
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Sirisha Tadimalla
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Amy J Hayden
- Sydney West Radiation Oncology, Westmead Hospital, Wentworthville, New South Wales, Australia
- Faculty of Medicine, Western Sydney University, Sydney, New South Wales, Australia
- Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Lois Holloway
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
- Liverpool and Macarthur Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Annette Haworth
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
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Elming PB, Wittenborn TR, Busk M, Sørensen BS, Thomsen MBH, Strandgaard T, Dyrskjøt L, Nielsen S, Horsman MR. Refinement of an Established Procedure and Its Application for Identification of Hypoxia in Prostate Cancer Xenografts. Cancers (Basel) 2021; 13:2602. [PMID: 34073301 PMCID: PMC8198481 DOI: 10.3390/cancers13112602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/21/2021] [Accepted: 05/22/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This pre-clinical study was designed to refine a dissection method for validating the use of a 15-gene hypoxia classifier, which was previously established for head and neck squamous cell carcinoma (HNSCC) patients, to identify hypoxia in prostate cancer. METHODS PC3 and DU-145 adenocarcinoma cells, in vitro, were gassed with various oxygen concentrations (0-21%) for 24 h, followed by real-time PCR. Xenografts were established in vivo, and the mice were injected with the hypoxic markers [18F]-FAZA and pimonidazole. Subsequently, tumors were excised, frozen, cryo-sectioned, and analyzed using autoradiography ([18F]-FAZA) and immunohistochemistry (pimonidazole); the autoradiograms used as templates for laser capture microdissection of hypoxic and non-hypoxic areas, which were lysed, and real-time PCR was performed. RESULTS In vitro, all 15 genes were increasingly up-regulated as oxygen concentrations decreased. With the xenografts, all 15 genes were up-regulated in the hypoxic compared to non-hypoxic areas for both cell lines, although this effect was greater in the DU-145. CONCLUSIONS We have developed a combined autoradiographic/laser-guided microdissection method with broad applicability. Using this approach on fresh frozen tumor material, thereby minimizing the degree of RNA degradation, we showed that the 15-gene hypoxia gene classifier developed in HNSCC may be applicable for adenocarcinomas such as prostate cancer.
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Affiliation(s)
- Pernille B. Elming
- Experimental Clinical Oncology-Department of Oncology, Aarhus University Hospital, 8200 Aarhus, Denmark; (T.R.W.); (B.S.S.); (S.N.); (M.R.H.)
| | - Thomas R. Wittenborn
- Experimental Clinical Oncology-Department of Oncology, Aarhus University Hospital, 8200 Aarhus, Denmark; (T.R.W.); (B.S.S.); (S.N.); (M.R.H.)
| | - Morten Busk
- Danish Center for Particle Therapy, Aarhus University Hospital, 8200 Aarhus, Denmark;
| | - Brita S. Sørensen
- Experimental Clinical Oncology-Department of Oncology, Aarhus University Hospital, 8200 Aarhus, Denmark; (T.R.W.); (B.S.S.); (S.N.); (M.R.H.)
- Danish Center for Particle Therapy, Aarhus University Hospital, 8200 Aarhus, Denmark;
| | - Mathilde Borg Houlberg Thomsen
- Department of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus, Denmark; (M.B.H.T.); (T.S.); (L.D.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Trine Strandgaard
- Department of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus, Denmark; (M.B.H.T.); (T.S.); (L.D.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Lars Dyrskjøt
- Department of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus, Denmark; (M.B.H.T.); (T.S.); (L.D.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Steffen Nielsen
- Experimental Clinical Oncology-Department of Oncology, Aarhus University Hospital, 8200 Aarhus, Denmark; (T.R.W.); (B.S.S.); (S.N.); (M.R.H.)
| | - Michael R. Horsman
- Experimental Clinical Oncology-Department of Oncology, Aarhus University Hospital, 8200 Aarhus, Denmark; (T.R.W.); (B.S.S.); (S.N.); (M.R.H.)
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Liu M, Li C. Recent Advances in Activatable Organic Photosensitizers for Specific Photodynamic Therapy. Chempluschem 2021; 85:948-957. [PMID: 32401421 DOI: 10.1002/cplu.202000203] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/05/2020] [Indexed: 12/18/2022]
Abstract
Photodynamic therapy is an alternative modality for the therapy of diseases such as cancer in a minimally invasive manner. The essential photosensitizer, which acts as a catalyst when absorbing light, converts oxygen into cytotoxic reactive oxygen species that ablate malignant cells through apoptosis and/or necrosis, destroy tumor microvasculature, and stimulate immunity. An activatable photosensitizer whose photoactivity could be turned on by a specific disease biomarker is capable of distinguishing healthy cells from diseased cells, thereby reducing off-target photodamage. In this Minireview, we highlight progress in activatable organic photosensitizers over the past five years, including: (i) biorthogonal activatable BODIPYs; (ii) activatable Se-rhodamine with single-cell resolution; (iii) silicon phthalocyanine targeting oxygen tension; (iv) general D-π-A scaffolds; and (v) AIEgens. The potential challenges and opportunities for developing new types of activatable organic photosensitizers to overcome the hypoxia dilemmas of photodynamic therapy are discussed.
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Affiliation(s)
- Ming Liu
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy, Key Laboratory of Functional Polymer Materials of Ministry of Education, Nankai University, Tianjin, 300071, P. R. China
| | - Changhua Li
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy, Key Laboratory of Functional Polymer Materials of Ministry of Education, Nankai University, Tianjin, 300071, P. R. China
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Tumor Hypoxia as a Barrier in Cancer Therapy: Why Levels Matter. Cancers (Basel) 2021; 13:cancers13030499. [PMID: 33525508 PMCID: PMC7866096 DOI: 10.3390/cancers13030499] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Hypoxia is a common feature of solid tumors and associated with poor outcome in most cancer types and treatment modalities, including radiotherapy, chemotherapy, surgery and, most likely, immunotherapy. Emerging strategies, such as proton therapy and combination therapies with radiation and hypoxia targeted drugs, provide new opportunities to overcome the hypoxia barrier and improve therapeutic outcome. Hypoxia is heterogeneously distributed both between and within tumors and shows large variations across patients not only in prevalence, but importantly, also in level. To best exploit the emerging strategies, a better understanding of how individual hypoxia levels from mild to severe affect tumor biology is vital. Here, we discuss our current knowledge on this topic and how we should proceed to gain more insight into the field. Abstract Hypoxia arises in tumor regions with insufficient oxygen supply and is a major barrier in cancer treatment. The distribution of hypoxia levels is highly heterogeneous, ranging from mild, almost non-hypoxic, to severe and anoxic levels. The individual hypoxia levels induce a variety of biological responses that impair the treatment effect. A stronger focus on hypoxia levels rather than the absence or presence of hypoxia in our investigations will help development of improved strategies to treat patients with hypoxic tumors. Current knowledge on how hypoxia levels are sensed by cancer cells and mediate cellular responses that promote treatment resistance is comprehensive. Recently, it has become evident that hypoxia also has an important, more unexplored role in the interaction between cancer cells, stroma and immune cells, influencing the composition and structure of the tumor microenvironment. Establishment of how such processes depend on the hypoxia level requires more advanced tumor models and methodology. In this review, we describe promising model systems and tools for investigations of hypoxia levels in tumors. We further present current knowledge and emerging research on cellular responses to individual levels, and discuss their impact in novel therapeutic approaches to overcome the hypoxia barrier.
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Mayer P, Kraft A, Witzel HR, Marnet N, Hörner N, Roth W, Heinrich S, Hackert T, Bergmann F, Kauczor HU, Klauss M, Gaida MM. Restricted Water Diffusion in Diffusion-Weighted Magnetic Resonance Imaging in Pancreatic Cancer is Associated with Tumor Hypoxia. Cancers (Basel) 2020; 13:cancers13010089. [PMID: 33396818 PMCID: PMC7801953 DOI: 10.3390/cancers13010089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/21/2020] [Accepted: 12/26/2020] [Indexed: 01/05/2023] Open
Abstract
Simple Summary Pancreatic cancer is characterized by a dense network of connective tissue surrounding clusters of cancer cells, the so-called stroma. This ubiquitous connective tissue impairs the delivery of oxygen to cancer cells. This results in hypoxia, which renders the cancer more aggressive and more resistant to treatment. In the present study, we investigated whether the extent of hypoxia in pancreatic cancer can be predicted by magnetic resonance imaging (MRI), a widely used medical imaging technique. More specifically, we used an MRI sequence which can quantitate the random motion (i.e., diffusion) of water molecules within the cancer tissue, namely diffusion-weighted (DW) MRI. We found that the random motion of water molecules is lower in cancer lesions with high hypoxia compared to those with low hypoxia. The findings from our study imply that DW-MRI can be used to identify pancreatic cancer lesions with high hypoxia which are at high risk for treatment failure. Abstract Hypoxia is a hallmark of pancreatic cancer (PDAC) due to its compact and extensive fibrotic tumor stroma. Hypoxia contributes to high lethality of this disease, by inducing a more malignant phenotype and resistance to radiation and chemotherapy. Thus, non-invasive methods to quantify hypoxia could be helpful for treatment decisions, for monitoring, especially in non-resectable tumors, or to optimize personalized therapy. In the present study, we investigated whether tumor hypoxia in PDAC is reflected by diffusion-weighted magnetic resonance imaging (DW-MRI), a functional imaging technique, frequently used in clinical practice for identification and characterization of pancreatic lesions. DW-MRI assesses the tissue microarchitecture by measuring the diffusion of water molecules, which is more restricted in highly compact tissues. As reliable surrogate markers for hypoxia, we determined Blimp-1 (B-lymphocyte induced maturation protein), a transcription factor, as well as vascular endothelial growth factor (VEGF), which are up-regulated in response to hypoxia. In 42 PDAC patients, we observed a close association between restricted water diffusion in DW-MRI and tumor hypoxia in matched samples, as expressed by high levels of Blimp-1 and VEGF in tissue samples of the respective patients. In summary, our data show that DW-MRI is well suited for the evaluation of tumor hypoxia in PDAC and could potentially be used for the identification of lesions with a high hypoxic fraction, which are at high risk for failure of radiochemotherapy.
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Affiliation(s)
- Philipp Mayer
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany; (H.-U.K.); (M.K.)
- Correspondence: ; Tel.: +49-6221-5637-345
| | - Anne Kraft
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
| | - Hagen R. Witzel
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
| | - Nicole Marnet
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
| | - Nina Hörner
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
| | - Wilfried Roth
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
| | - Stefan Heinrich
- Department of Surgery, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany;
| | - Thilo Hackert
- Department of General, Visceral, and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Frank Bergmann
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany;
- Clinical Pathology, Klinikum Darmstadt GmbH, 64283 Darmstadt, Germany
| | - Hans-Ulrich Kauczor
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany; (H.-U.K.); (M.K.)
| | - Miriam Klauss
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany; (H.-U.K.); (M.K.)
| | - Matthias M. Gaida
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany; (A.K.); (H.R.W.); (N.M.); (N.H.); (W.R.); (M.M.G.)
- Research Center for Immunotherapy, University Medical Center Mainz, JGU-Mainz, 55131 Mainz, Germany
- Joint Unit Immunopathology, Institute of Pathology, University Medical Center, JGU-Mainz and TRON, Translational Oncology at the University Medical Center, JGU-Mainz, 55131 Mainz, Germany
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Ablative Radiotherapy in Prostate Cancer: Stereotactic Body Radiotherapy and High Dose Rate Brachytherapy. Cancers (Basel) 2020; 12:cancers12123606. [PMID: 33276562 PMCID: PMC7761604 DOI: 10.3390/cancers12123606] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 11/29/2020] [Accepted: 11/30/2020] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Radiation therapy is a standard of care treatment option for men with localized prostate cancer. Over the years, various radiation delivery modalities have contributed to the increased precision of radiation, employing radiobiological insights to shorten the overall treatment time with hypofractionation, while improving oncological control without increasing toxicities. Here, we discuss and compare two ablative radiation modalities, stereotactic body radiation therapy (SBRT) and high-dose-rate brachytherapy (HDRBT), in terms of oncological control, dose/fractionation and toxicities in men with localized prostate cancer. This review will highlight the levels of evidence available to support either modality as a monotherapy, will summarize safety and efficacy, help clinicians gain a deeper understanding of the safety and efficacy profiles of these two modalities, and highlight ongoing research efforts to address many unanswered questions regarding ablative prostate radiation. Abstract Prostate cancer (PCa) is the most common noncutaneous solid organ malignancy among men worldwide. Radiation therapy is a standard of care treatment option that has historically been delivered in the form of small daily doses of radiation over the span of multiple weeks. PCa appears to have a unique sensitivity to higher doses of radiation per fraction, rendering it susceptible to abbreviated forms of treatment. Stereotactic body radiation therapy (SBRT) and high-dose-rate brachytherapy (HDRBT) are both modern radiation modalities that allow the precise delivery of ablative doses of radiation to the prostate while maximally sparing sensitive surrounding normal structures. In this review, we highlight the evidence regarding the radiobiology, oncological outcomes, toxicity and dose/fractionation schemes of SBRT and HDRBT monotherapy in men with low-and intermediate-risk PCa.
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Investigating the Benefit of Combined Androgen Modulation and Hypofractionation in Prostate Cancer. Int J Mol Sci 2020; 21:ijms21228447. [PMID: 33182844 PMCID: PMC7698244 DOI: 10.3390/ijms21228447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/03/2020] [Accepted: 11/07/2020] [Indexed: 12/24/2022] Open
Abstract
Hypofractionation is currently considered a valid alternative to conventional radiotherapy for the treatment of patients with organ-confined prostate cancer. Recent data have demonstrated that extreme hypofractionation, which involves the use of a high radiation dose per delivered fraction and concomitant reduction of sessions, is a safe and effective treatment, even though its radiobiological rationale is still lacking. The present work aims to investigate the biological basis sustaining this approach and to evaluate the potential of a hypofractionated regimen in combination with androgen deprivation therapy, one of the major standards of care for prostate cancer. Findings show that androgen receptor (AR) modulation, by use of androgens and antiandrogens, has a significant impact on cell survival, especially in hypoxic conditions (4% O2). Subsequent experiments have revealed that AR activity as a transcription factor is involved in the onset of malignant senescence-associated secretory phenotype (SASP) and activation of DNA repair cascade. In particular, we found that AR stimulation in hypoxic conditions promotes the enhanced transcription of ATM gene, the cornerstone kinase of the DNA damage repair genes. Together, these data provide new potential insights to justify the use of androgen deprivation therapy, in particular with second-generation anti-androgens such as enzalutamide, in combination with radiotherapy.
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Busk M, Overgaard J, Horsman MR. Imaging of Tumor Hypoxia for Radiotherapy: Current Status and Future Directions. Semin Nucl Med 2020; 50:562-583. [PMID: 33059825 DOI: 10.1053/j.semnuclmed.2020.05.003] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Tumor regions that are transiently or chronically undersupplied with oxygen (hypoxia) and nutrients, and enriched with acidic waste products, are common due to an abnormal and inefficient tumor vasculature, and a deviant highly glycolytic energy metabolism. There is compelling evidence that tumor hypoxia is strongly linked to poor prognosis since oxygen-deprived cells are highly resistant to therapy including radio- and chemotherapy, and survival of such cells is a primary cause of disease relapse. Despite a general improvement in cancer survival rates, hypoxia remains a formidable challenge. Recent progress in radiation delivery systems with improved spatial accuracy that allows dose escalation to hypoxic tumors or even tumor subvolumes, and the development of hypoxia-selective drugs, including bioreductive prodrugs, holds great promise for overcoming this obstacle. However, apart from one notable exception, translation of promising preclinical therapies to the clinic have largely been disappointing. A major obstacle in clinical trials on hypoxia-targeting strategies has been the lack of reliable information on tumor hypoxia, which is crucial for patient stratification into groups of those that are likely to benefit from intervention and those who are not. Further, in many newer trials on hypoxia-selective drugs the choice of cancer disease and combination therapy has not always been ideal, especially not for clinical proof of principle trials. Clearly, there is a pending need for clinical applicable methodologies that may allow us to quantify, map and monitor hypoxia. Molecular imaging may provide the information required for narrowing the gap between potential and actual patient benefit of hypoxia-targeting strategies. The grand majority of preclinical and clinical work has focused on the usefulness of PET-based assessment of hypoxia-selective tracers. Since hypoxia PET has profound inherent weaknesses, the use of other methodologies, including more indirect methods that quantifies blood flow or oxygenation-dependent flux changes through ATP-generating pathways (eg, anaerobic glycolysis) is being extensively studied. In this review, we briefly discuss established and emerging hypoxia-targeting strategies, followed by a more thorough evaluation of strengths and weaknesses of clinical applicable imaging methodologies that may guide timely treatment intensification to overcome hypoxia-driven resistance. Historically, most evidence for the linkage between hypoxia and poor outcome is based on work in the field of radiotherapy. Therefore, main emphasis in this review is on targeting and imaging of hypoxia for improved radiotherapy.
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Affiliation(s)
- Morten Busk
- Experimental Clinical Oncology, Department of Oncology, Aarhus University Hospital (AUH), Aarhus, Denmark; Danish Centre for Particle Therapy, (AUH), Aarhus, Denmark.
| | - Jens Overgaard
- Experimental Clinical Oncology, Department of Oncology, Aarhus University Hospital (AUH), Aarhus, Denmark
| | - Michael R Horsman
- Experimental Clinical Oncology, Department of Oncology, Aarhus University Hospital (AUH), Aarhus, Denmark
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Grégoire V, Guckenberger M, Haustermans K, Lagendijk JJW, Ménard C, Pötter R, Slotman BJ, Tanderup K, Thorwarth D, van Herk M, Zips D. Image guidance in radiation therapy for better cure of cancer. Mol Oncol 2020; 14:1470-1491. [PMID: 32536001 PMCID: PMC7332209 DOI: 10.1002/1878-0261.12751] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 06/08/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
The key goal and main challenge of radiation therapy is the elimination of tumors without any concurring damages of the surrounding healthy tissues and organs. Radiation doses required to achieve sufficient cancer-cell kill exceed in most clinical situations the dose that can be tolerated by the healthy tissues, especially when large parts of the affected organ are irradiated. High-precision radiation oncology aims at optimizing tumor coverage, while sparing normal tissues. Medical imaging during the preparation phase, as well as in the treatment room for localization of the tumor and directing the beam, referred to as image-guided radiotherapy (IGRT), is the cornerstone of precision radiation oncology. Sophisticated high-resolution real-time IGRT using X-rays, computer tomography, magnetic resonance imaging, or ultrasound, enables delivery of high radiation doses to tumors without significant damage of healthy organs. IGRT is the most convincing success story of radiation oncology over the last decades, and it remains a major driving force of innovation, contributing to the development of personalized oncology, for example, through the use of real-time imaging biomarkers for individualized dose delivery.
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Affiliation(s)
- Vincent Grégoire
- Department of Radiation OncologyLéon Bérard Cancer CenterLyonFrance
| | - Matthias Guckenberger
- Department for Radiation OncologyUniversity Hospital ZurichUniversity of ZurichSwitzerland
| | - Karin Haustermans
- Department of Radiation OncologyLeuven Cancer InstituteUniversity Hospital GasthuisbergLeuvenBelgium
| | | | | | - Richard Pötter
- Department of Radiation OncologyMedical UniversityGeneral Hospital of ViennaAustria
| | - Ben J. Slotman
- Department of Radiation OncologyAmsterdam University Medical CentersThe Netherlands
| | - Kari Tanderup
- Department of OncologyAarhus University HospitalDenmark
| | - Daniela Thorwarth
- Section for Biomedical PhysicsDepartment of Radiation OncologyUniversity of TübingenGermany
| | - Marcel van Herk
- Department of Biomedical Engineering and PhysicsCancer Center AmsterdamAmsterdam UMCUniversity of AmsterdamThe Netherlands
- Institute of Cancer SciencesUniversity of ManchesterUK
- Department of Radiotherapy Related ResearchThe Christie NHS Foundation TrustManchesterUK
| | - Daniel Zips
- Department of Radiation OncologyUniversity of TübingenGermany
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Hillestad T, Hompland T, Fjeldbo CS, Skingen VE, Salberg UB, Aarnes EK, Nilsen A, Lund KV, Evensen TS, Kristensen GB, Stokke T, Lyng H. MRI Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer. Cancer Res 2020; 80:3993-4003. [PMID: 32606004 DOI: 10.1158/0008-5472.can-20-0950] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/07/2020] [Accepted: 06/25/2020] [Indexed: 11/16/2022]
Abstract
Tumor hypoxia levels range from mild to severe and have different biological and therapeutical consequences but are not easily assessable in patients. Here we present a method based on diagnostic dynamic contrast enhanced (DCE) MRI that reflects a continuous range of hypoxia levels in patients with tumors of cervical cancer. Hypoxia images were generated using an established approach based on pixel-wise combination of DCE-MRI parameters ν e and K trans, representing oxygen consumption and supply, respectively. Using two tumor models, an algorithm to retrieve surrogate measures of hypoxia levels from the images was developed and validated by comparing the MRI-defined levels with hypoxia levels reflected in pimonidazole-stained histologic sections. An additional indicator of hypoxia levels in patient tumors was established on the basis of expression of nine hypoxia-responsive genes; a strong correlation was found between these indicator values and MRI-defined hypoxia levels in 63 patients. Chemoradiotherapy outcome of 74 patients was most strongly predicted by moderate hypoxia levels, whereas more severe or milder levels were less predictive. By combining gene expression profiles and MRI-defined hypoxia levels in cancer hallmark analysis, we identified a distribution of levels associated with each hallmark; oxidative phosphorylation and G2-M checkpoint were associated with moderate hypoxia, epithelial-to-mesenchymal transition, and inflammatory responses with significantly more severe levels. At the mildest levels, IFN response hallmarks together with HIF1A protein expression by IHC appeared significant. Thus, our method visualizes the distribution of hypoxia levels within patient tumors and has potential to distinguish levels of different prognostic and biological significance. SIGNIFICANCE: These findings present an approach to image a continuous range of hypoxia levels in tumors and demonstrate the combination of imaging with molecular data to better understand the biology behind these different levels.
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Affiliation(s)
- Tiril Hillestad
- Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Tord Hompland
- Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Christina S Fjeldbo
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Vilde E Skingen
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Unn Beate Salberg
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Eva-Katrine Aarnes
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Anja Nilsen
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Kjersti V Lund
- Department of Radiology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Tina S Evensen
- Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Gunnar B Kristensen
- Department of Gynecological Oncology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
- Institute of Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway
| | - Trond Stokke
- Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Heidi Lyng
- Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
- Department of Physics, University of Oslo, Oslo, Norway
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Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity. EBioMedicine 2020; 57:102841. [PMID: 32580139 PMCID: PMC7317686 DOI: 10.1016/j.ebiom.2020.102841] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/18/2020] [Accepted: 06/02/2020] [Indexed: 11/25/2022] Open
Abstract
Background Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure. Methods Hypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients. Findings Dichotomous biomarker cutoff to yield similar hypoxia status by imaging and genes was defined in 41 patients, and the association was validated in the remaining 77 patients. The two biomarkers classified 75% of 118 patients with the same hypoxia status, and inconsistent classification was not related to imaging-defined intratumour heterogeneity in hypoxia. Gene-based hypoxia was independent on tumour cell fraction in the biopsies and showed minor heterogeneity across multiple samples in 9 tumours. Combining imaging- and gene-based classification gave a significantly better prediction of PFS than one biomarker alone. A combined dichotomous biomarker optimized in 77 patients showed a large separation in PFS between more and less hypoxic tumours, and separated the remaining 41 patients with different PFS. The combined biomarker showed prognostic value together with tumour stage in multivariate analysis. Interpretation Combining imaging- and gene-based biomarkers may enable more precise and informative assessment of hypoxia-related chemoradiotherapy resistance in cervical cancer. Funding 10.13039/100008730Norwegian Cancer Society, South-Eastern Norway Regional Health Authority, and Norwegian Research Council.
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Zhao LP, Zheng RR, Chen HQ, Liu LS, Zhao XY, Liu HH, Qiu XZ, Yu XY, Cheng H, Li SY. Self-Delivery Nanomedicine for O 2-Economized Photodynamic Tumor Therapy. NANO LETTERS 2020; 20:2062-2071. [PMID: 32096643 DOI: 10.1021/acs.nanolett.0c00047] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Tumor hypoxia is the Achilles heel of oxygen-dependent photodynamic therapy (PDT), and tremendous challenges are confronted to reverse the tumor hypoxia. In this work, an oxidative phosphorylation inhibitor of atovaquone (ATO) and a photosensitizer of chlorine e6 (Ce6)-based self-delivery nanomedicine (designated as ACSN) were prepared via π-π stacking and hydrophobic interaction for O2-economized PDT against hypoxic tumors. Specifically, carrier-free ACSN exhibited an extremely high drug loading rate and avoided the excipient-induced systemic toxicity. Moreover, ACSN not only dramatically improved the solubility and stability of ATO and Ce6 but also enhanced the cellular internalization and intratumoral permeability. Abundant investigations confirmed that ACSN effectively suppressed the oxygen consumption to reverse the tumor hypoxia by inhibiting mitochondrial respiration. Benefiting from the synergistic mechanism, an enhanced PDT effect of ACSN was observed on the inhibition of tumor growth. This self-delivery system for oxygen-economized PDT might be a potential appealing clinical strategy for tumor eradication.
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Affiliation(s)
- Lin-Ping Zhao
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Rong-Rong Zheng
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Hua-Qing Chen
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Ling-Shan Liu
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering and Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, P. R. China
| | - Xiao-Ya Zhao
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Hou-He Liu
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Xiao-Zhong Qiu
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering and Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, P. R. China
| | - Xi-Yong Yu
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
| | - Hong Cheng
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering and Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, P. R. China
| | - Shi-Ying Li
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, P. R. China
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Chen Z, Xue Y, Zhang Z, Li W, Wen M, Zhao Y, Li J, Weng Z, Ye Q. The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone. Eur J Radiol 2020; 125:108865. [PMID: 32058895 DOI: 10.1016/j.ejrad.2020.108865] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE To assess the association between intravoxel-incoherent motion diffusion-weighted imaging (IVIM) derived hypoxia and the aggressiveness of prostate cancer (PCa) and to explore its contribution to the risk stratification of PCa. METHODS Seventy-five peripheral zone (PZ) PCa patients, who underwent multiparametric MRI (mpMRI), were included in this study. Systematic ultrasound guided biopsy was used as reference. IVIM was acquired with 5 b values (b = 0∼750 s/mm2). Apparent diffusion coefficient (ADC), pure tissue diffusion (Ds), volume fraction of pseudo-diffusion (fp), hypoxic fraction (HFDWI), hypoxia score (HSDWI) and relative oxygen saturation(rOSDWI), were calculated and histogram analysis was applied. Groups comparison was performed between low-intermediate-grade group (LG, the International Society of Urological Pathology (ISUP) Gleason Grade (GG) ≤2) and high-grade (HG, ISUP GG ≥ 3) group. The correlation between diffusion parameters and ISUP GG was assessed. Cross-validated Support Vector Machine (SVM) Classification was performed and compared with univariate ROC analysis to explore the risk stratification of PZ PCa. RESULTS Mean, median, and the 10th percentile of Ds differed significantly between groups (p < 0.05). Several parameters significantly correlated with ISUP grade, and the 10th percentile of Ds showed the strongest correlation (ρ= - 0.284). The prediction model containing IVIM derived hypoxia yielded an area under the receiver operating characteristics curve (AUC) ranging 0.749-0.786 for cross-validation. The AUCs of the SVM modeling were higher than that of any single parameter. CONCLUSION IVIM derived hypoxia demonstrated significant correlation with the aggressiveness of PCa. It's supplemental to the MRI assessment of PCa with a promising stratification of risk stratification of PZ PCa.
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Affiliation(s)
- Zhongwei Chen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Yingnan Xue
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Zhao Zhang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Weikang Li
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Min Wen
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Youfan Zhao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Jiance Li
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Zhiliang Weng
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China
| | - Qiong Ye
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China; High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, PR China.
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Taylor E, Zhou J, Lindsay P, Foltz W, Cheung M, Siddiqui I, Hosni A, Amir AE, Kim J, Hill RP, Jaffray DA, Hedley DW. Quantifying Reoxygenation in Pancreatic Cancer During Stereotactic Body Radiotherapy. Sci Rep 2020; 10:1638. [PMID: 32005829 PMCID: PMC6994660 DOI: 10.1038/s41598-019-57364-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 12/18/2019] [Indexed: 02/05/2023] Open
Abstract
Hypoxia, the state of low oxygenation that often arises in solid tumours due to their high metabolism and irregular vasculature, is a major contributor to the resistance of tumours to radiation therapy (RT) and other treatments. Conventional RT extends treatment over several weeks or more, and nominally allows time for oxygen levels to increase ("reoxygenation") as cancer cells are killed by RT, mitigating the impact of hypoxia. Recent advances in RT have led to an increase in the use stereotactic body radiotherapy (SBRT), which delivers high doses in five or fewer fractions. For cancers such as pancreatic adenocarcinoma for which hypoxia varies significantly between patients, SBRT might not be optimal, depending on the extent to which reoxygenation occurs during its short duration. We used fluoro-5-deoxy-α-D-arabinofuranosyl)-2-nitroimidazole positron-emission tomography (FAZA-PET) imaging to quantify hypoxia before and after 5-fraction SBRT delivered to patient-derived pancreatic cancer xenografts orthotopically implanted in mice. An imaging technique using only the pre-treatment FAZA-PET scan and repeat dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) scans throughout treatment was able to predict the change in hypoxia. Our results support the further testing of this technique for imaging of reoxygenation in the clinic.
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Affiliation(s)
- Edward Taylor
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Jitao Zhou
- Department of Abdominal Oncology, Cancer Center and Laboratory of Signal Transduction and Molecular Targeting Therapy, West China Hospital, Sichuan University, Chengdu, China
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Warren Foltz
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - May Cheung
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Iram Siddiqui
- Department of Pathology, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, M5G 1X8, Canada
| | - Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Ahmed El Amir
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Richard P Hill
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - David A Jaffray
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - David W Hedley
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
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Thorwarth D. Imaging science and development in modern high-precision radiotherapy. Phys Imaging Radiat Oncol 2019; 12:63-66. [PMID: 33458297 PMCID: PMC7807660 DOI: 10.1016/j.phro.2019.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany
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Sun Y, Williams S, Byrne D, Keam S, Reynolds HM, Mitchell C, Wraith D, Murphy D, Haworth A. Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study. Br J Radiol 2019; 92:20190373. [PMID: 31356111 DOI: 10.1259/bjr.20190373] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To investigate the association between multiparametric MRI (mpMRI) imaging features and hypoxia-related genetic profiles in prostate cancer. METHODS In vivo mpMRI was acquired from six patients prior to radical prostatectomy. Sequences included T2 weighted (T2W) imaging, diffusion-weighted imaging, dynamic contrast enhanced MRI and blood oxygen-level dependent imaging. Imaging data were co-registered with histology using three-dimensional deformable registration methods. Texture features were extracted from T2W images and parametric maps from functional MRI. Full transcriptome genetic profiles were obtained using next generation sequencing from the prostate specimens. Pearson correlation coefficients were calculated between mpMRI data and hypoxia-related gene expression levels. Results were validated using glucose transporter one immunohistochemistry (IHC). RESULTS Correlation analysis identified 34 candidate imaging features (six from the mpMRI data and 28 from T2W texture features). The IHC validation showed that 16 out of the 28 T2W texture features achieved weak but significant correlations (p < 0.05). CONCLUSIONS Weak associations between mpMRI features and hypoxia gene expressions were found. This indicates the potential use of MRI in assessing hypoxia status in prostate cancer. Further validation is required due to the low correlation levels. ADVANCES IN KNOWLEDGE This is a pilot study using radiogenomics approaches to address hypoxia within the prostate, which provides an opportunity for hypoxia-guided selective treatment techniques.
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Affiliation(s)
- Yu Sun
- The University of Sydney, Sydney, New South Wales, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Scott Williams
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - David Byrne
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simon Keam
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Hayley M Reynolds
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Darren Wraith
- Queensland University of Technology, Brisbane, Queensland, Australia
| | - Declan Murphy
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Annette Haworth
- The University of Sydney, Sydney, New South Wales, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
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Clark CH, Gagliardi G, Heijmen B, Malicki J, Thorwarth D, Verellen D, Muren LP. Adapting training for medical physicists to match future trends in radiation oncology. Phys Imaging Radiat Oncol 2019; 11:71-75. [PMID: 33458282 PMCID: PMC7807663 DOI: 10.1016/j.phro.2019.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
- Catharine H. Clark
- Medical Physics, St Lukes Cancer Centre, Royal Surrey County Hospital, Guildford, UK
- Dept Medical Physics, National Physical Laboratory, Teddington, UK
| | - Giovanna Gagliardi
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Sweden
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Ben Heijmen
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Julian Malicki
- Department of Electroradiology, Poznań University of Medical Sciences, Poznań, Poland
- Department of Medical Physics, Greater Poland Cancer Centre, Poznań, Poland
| | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany
| | - Dirk Verellen
- Iridium Kankernetwerk, Antwerp, Belgium; University of Antwerp, Faculty of Medicine and Health Sciences, Belgium
| | - Ludvig P. Muren
- Department of Medical Physics, Aarhus University Hospital/Aarhus University, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
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PTEN Expression in Prostate Cancer: Relationship With Clinicopathologic Features and Multiparametric MRI Findings. AJR Am J Roentgenol 2019; 212:1206-1214. [PMID: 30888866 DOI: 10.2214/ajr.18.20743] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE. The objective of our study was to investigate whether phosphatase and tensin homolog (PTEN) expression is associated with clinicopathologic features and multiparametric MRI findings in prostate cancer. MATERIALS AND METHODS. Forty-three patients with prostate cancer who underwent radical prostatectomy were included. Index tumor was identified on pretreatment MRI and delineated in the area that correlated best with histopathology results. The apparent diffusion coefficient (ADC) from DWI and pharmacokinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) using the extended Tofts model (Ktrans, kep, ve, and vp) within the tumor were estimated. The following clinicopathologic parameters were assessed: pretreatment serum levels of prostate-specific antigen, disseminated tumor cell status, age, Gleason score, tumor size, extraprostatic extension (EPE), tumor location, and lymph node metastases. Gene expression profiles were acquired in biopsies from the tumor using bead arrays, and validated using reverse transcription quantitative polymerase chain reaction (RT-qPCR) on a different part of the biopsy. RESULTS. Based on bead arrays (p = 0.006) and RT-qPCR (p = 0.03) data, a significantly lower ADC was found in tumors with low PTEN expression. Moreover, PTEN expression was negatively associated with lymph node metastases (bead arrays, p = 0.008; RT-qPCR, p < 0.001). A weak but significant association between PTEN expression, EPE (p = 0.048), and Gleason score (p = 0.028) was revealed on bead arrays. ADC was negatively correlated with Gleason score (p = 0.001) and tumor size (p = 0.023). No association among DCE parameters, PTEN expression, and clinicopathologic features was found. CONCLUSION. ADC derived from DWI may be useful in selecting patients with potentially aggressive tumor caused by PTEN deficiency.
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