1
|
de Maar JS, Zandvliet MMJM, Veraa S, Tobón Restrepo M, Moonen CTW, Deckers R. Ultrasound and Microbubbles Mediated Bleomycin Delivery in Feline Oral Squamous Cell Carcinoma—An In Vivo Veterinary Study. Pharmaceutics 2023; 15:pharmaceutics15041166. [PMID: 37111651 PMCID: PMC10142092 DOI: 10.3390/pharmaceutics15041166] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/06/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023] Open
Abstract
To investigate the feasibility and tolerability of ultrasound and microbubbles (USMB)-enhanced chemotherapy delivery for head and neck cancer, we performed a veterinary trial in feline companion animals with oral squamous cell carcinomas. Six cats were treated with a combination of bleomycin and USMB therapy three times, using the Pulse Wave Doppler mode on a clinical ultrasound system and EMA/FDA approved microbubbles. They were evaluated for adverse events, quality of life, tumour response and survival. Furthermore, tumour perfusion was monitored before and after USMB therapy using contrast-enhanced ultrasound (CEUS). USMB treatments were feasible and well tolerated. Among 5 cats treated with optimized US settings, 3 had stable disease at first, but showed disease progression 5 or 11 weeks after first treatment. One cat had progressive disease one week after the first treatment session, maintaining a stable disease thereafter. Eventually, all cats except one showed progressive disease, but each survived longer than the median overall survival time of 44 days reported in literature. CEUS performed immediately before and after USMB therapy suggested an increase in tumour perfusion based on an increase in median area under the curve (AUC) in 6 out of 12 evaluated treatment sessions. In this small hypothesis-generating study, USMB plus chemotherapy was feasible and well-tolerated in a feline companion animal model and showed potential for enhancing tumour perfusion in order to increase drug delivery. This could be a forward step toward clinical translation of USMB therapy to human patients with a clinical need for locally enhanced treatment.
Collapse
Affiliation(s)
- Josanne S. de Maar
- Imaging and Oncology Division, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands
| | - Maurice M. J. M. Zandvliet
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CL Utrecht, The Netherlands
| | - Stefanie Veraa
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CL Utrecht, The Netherlands
| | - Mauricio Tobón Restrepo
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CL Utrecht, The Netherlands
| | - Chrit T. W. Moonen
- Imaging and Oncology Division, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands
| | - Roel Deckers
- Imaging and Oncology Division, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands
| |
Collapse
|
2
|
Han K, Fyles A, Shek T, Croke J, Dhani N, D'Souza D, Lee TY, Chaudary N, Bruce J, Pintilie M, Cairns R, Vines D, Pakbaz S, Jaffray D, Metser U, Rouzbahman M, Milosevic M, Koritzinsky M. A Phase II Randomized Trial of Chemoradiation with or without Metformin in Locally Advanced Cervical Cancer. Clin Cancer Res 2022; 28:5263-5271. [PMID: 36037303 DOI: 10.1158/1078-0432.ccr-22-1665] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/13/2022] [Accepted: 08/25/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Tumor hypoxia is associated with poor response to radiation (RT). We previously discovered a novel mechanism of metformin: enhancing tumor RT response by decreasing tumor hypoxia. We hypothesized that metformin would decrease tumor hypoxia and improve cervical cancer response to RT. PATIENTS AND METHODS A window-of-opportunity, phase II randomized trial was performed in stage IB-IVA cervical cancer. Patients underwent screening positron emission tomography (PET) imaging with hypoxia tracer fluoroazomycin arabinoside (FAZA). Only patients with FAZA uptake (hypoxic tumor) were included and randomized 2:1 to receive metformin in combination with chemoRT or chemoRT alone. A second FAZA-PET/CT scan was performed after 1 week of metformin or no intervention (control). The primary endpoint was a change in fractional hypoxic volume (FHV) between FAZA-PET scans, compared using the Wilcoxon signed-rank test. The study was closed early due to FAZA availability and the COVID-19 pandemic. RESULTS Of the 20 consented patients, 6 were excluded due to no FAZA uptake and 1 withdrew. FHV of 10 patients in the metformin arm decreased by an average of 10.2% (44.4%-34.2%) ± SD 16.9% after 1 week of metformin, compared with an average increase of 4.7% (29.1%-33.8%) ± 11.5% for the 3 controls (P = 0.027). Those with FHV reduction after metformin had significantly lower MATE2 expression. With a median follow-up of 2.8 years, the 2-year disease-free survival was 67% for the metformin arm versus 33% for controls (P = 0.09). CONCLUSIONS Metformin decreased cervical tumor hypoxia in this trial that selected for patients with hypoxic tumor. See related commentary by Lyng et al., p. 5233.
Collapse
Affiliation(s)
- Kathy Han
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Fyles
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Tina Shek
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Quantitative Imaging for Personalized Cancer Medicine, Techna Institute, University Health Network, Toronto, Ontario, Canada
| | - Jennifer Croke
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Neesha Dhani
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - David D'Souza
- London Regional Cancer Program, London Health Sciences Centre, Department of Oncology, Western University, London, Ontario, Canada
| | - Ting-Yim Lee
- London Regional Cancer Program, London Health Sciences Centre, Department of Oncology, Western University, London, Ontario, Canada
| | - Naz Chaudary
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jeffrey Bruce
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Melania Pintilie
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Rob Cairns
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Douglass Vines
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Sara Pakbaz
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - David Jaffray
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Ur Metser
- Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Marjan Rouzbahman
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Michael Milosevic
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Marianne Koritzinsky
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
3
|
Gallez B. The Role of Imaging Biomarkers to Guide Pharmacological Interventions Targeting Tumor Hypoxia. Front Pharmacol 2022; 13:853568. [PMID: 35910347 PMCID: PMC9335493 DOI: 10.3389/fphar.2022.853568] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/23/2022] [Indexed: 12/12/2022] Open
Abstract
Hypoxia is a common feature of solid tumors that contributes to angiogenesis, invasiveness, metastasis, altered metabolism and genomic instability. As hypoxia is a major actor in tumor progression and resistance to radiotherapy, chemotherapy and immunotherapy, multiple approaches have emerged to target tumor hypoxia. It includes among others pharmacological interventions designed to alleviate tumor hypoxia at the time of radiation therapy, prodrugs that are selectively activated in hypoxic cells or inhibitors of molecular targets involved in hypoxic cell survival (i.e., hypoxia inducible factors HIFs, PI3K/AKT/mTOR pathway, unfolded protein response). While numerous strategies were successful in pre-clinical models, their translation in the clinical practice has been disappointing so far. This therapeutic failure often results from the absence of appropriate stratification of patients that could benefit from targeted interventions. Companion diagnostics may help at different levels of the research and development, and in matching a patient to a specific intervention targeting hypoxia. In this review, we discuss the relative merits of the existing hypoxia biomarkers, their current status and the challenges for their future validation as companion diagnostics adapted to the nature of the intervention.
Collapse
|
4
|
Shah RP, Laeseke PF, Shin LK, Chin FT, Kothary N, Segall GM. Limitations of Fluorine 18 Fluoromisonidazole in Assessing Treatment-induced Tissue Hypoxia after Transcatheter Arterial Embolization of Hepatocellular Carcinoma: A Prospective Pilot Study. Radiol Imaging Cancer 2022; 4:e210094. [PMID: 35485937 PMCID: PMC9152693 DOI: 10.1148/rycan.210094] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Purpose To determine the variance and correlation with tumor viability of fluorine 18 (18F) fluoromisonidazole (FMISO) uptake in hepatocellular carcinoma (HCC) prior to and after embolization treatment. Materials and Methods In this single-arm, single-center, prospective pilot study between September 2016 and March 2017, participants with at least one tumor measuring 1.5 cm or larger with imaging or histologic findings diagnostic for HCC were enrolled (five men; mean age, 68 years; age range, 61-76 years). Participants underwent 18F-FMISO PET/CT before and after bland embolization of HCC. A tumor-to-liver ratio (TLR) was calculated by using standardized uptake values of tumor and liver. The difference in mean TLR before and after treatment was compared by using a Wilcoxon rank sum test, and correlation between TLR and tumor viability was assessed by using the Spearman rank correlation coefficient. Results Four participants with five tumors were included in the final analysis. The median tumor diameter was 3.2 cm (IQR, 3.0-3.9 cm). The median TLR before treatment was 0.97 (IQR, 0.88-0.98), with a variance of 0.02, and the median TLR after treatment was 0.85 (IQR, 0.79-1), with a variance of 0.01; both findings indicate a narrow range of 18F-FMISO uptake in HCC. The Spearman rank correlation coefficient was 0.87, indicating a high correlation between change in TLR and nonviable tumor. Conclusion Although there was a correlation between change in TLR and response to treatment, the low signal-to-noise ratio of 18F-FMISO in the liver limited its use in HCC. Keywords: Molecular Imaging-Clinical Translation, Embolization, Abdomen/Gastrointestinal, Liver Clinical trial registration no. NCT02695628 © RSNA, 2022.
Collapse
Affiliation(s)
- Rajesh P Shah
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Paul F Laeseke
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Lewis K Shin
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Frederick T Chin
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Nishita Kothary
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - George M Segall
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| |
Collapse
|
5
|
Huang Y, Fan J, Li Y, Fu S, Chen Y, Wu J. Imaging of Tumor Hypoxia With Radionuclide-Labeled Tracers for PET. Front Oncol 2021; 11:731503. [PMID: 34557414 PMCID: PMC8454408 DOI: 10.3389/fonc.2021.731503] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 08/19/2021] [Indexed: 01/27/2023] Open
Abstract
The hypoxic state in a solid tumor refers to the internal hypoxic environment that appears as the tumor volume increases (the maximum radius exceeds 180-200 microns). This state can promote angiogenesis, destroy the balance of the cell’s internal environment, and lead to resistance to radiotherapy and chemotherapy, as well as poor prognostic factors such as metastasis and recurrence. Therefore, accurate quantification, mapping, and monitoring of hypoxia, targeted therapy, and improvement of tumor hypoxia are of great significance for tumor treatment and improving patient survival. Despite many years of development, PET-based hypoxia imaging is still the most widely used evaluation method. This article provides a comprehensive overview of tumor hypoxia imaging using radionuclide-labeled PET tracers. We introduced the mechanism of tumor hypoxia and the reasons leading to the poor prognosis, and more comprehensively included the past, recent and ongoing studies of PET radiotracers for tumor hypoxia imaging. At the same time, the advantages and disadvantages of mainstream methods for detecting tumor hypoxia are summarized.
Collapse
Affiliation(s)
- Yuan Huang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Junying Fan
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yi Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shaozhi Fu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.,Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China
| | - Yue Chen
- Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China.,Nuclear Medicine and Molecular Imaging key Laboratory of Sichuan Province, Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jingbo Wu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.,Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China
| |
Collapse
|
6
|
Marcus C, Sheikhbahaei S, Shivamurthy VKN, Avey G, Subramaniam RM. PET Imaging for Head and Neck Cancers. Radiol Clin North Am 2021; 59:773-788. [PMID: 34392918 DOI: 10.1016/j.rcl.2021.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Head and neck cancers are commonly encountered cancers in clinical practice in the United States. Fluorine-18-fluorodeoxyglucose (18F-FDG) PET/CT has been clinically applied in staging, occult primary tumor detection, treatment planning, response assessment, follow-up, recurrent disease detection, and prognosis prediction in these patients. Alternative PET tracers remain investigational and can provide additional valuable information such as radioresistant tumor hypoxia. The recent introduction of 18F-FDG PET/MR imaging has provided the advantage of combining the superior soft tissue resolution of MR imaging with the functional information provided by 18F-FDG PET. This article is a concise review of recent advances in PET imaging in head and neck cancer.
Collapse
Affiliation(s)
- Charles Marcus
- Department of Nuclear Medicine and Molecular Imaging, Emory University Hospital, Atlanta, GA, USA.
| | - Sara Sheikhbahaei
- Department of Radiology, Johns Hopkins Medical Institutions, 601 N. Caroline Street, JHOC 3235, Baltimore, MD 21287, USA
| | - Veeresh Kumar N Shivamurthy
- Epilepsy Center, St. Francis Hospital and Medical Center, Trinity Health of New England, 114 Woodland Street, Hartford, CT 06105, USA
| | - Greg Avey
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave #3284, Madison, WI 53792, USA
| | - Rathan M Subramaniam
- Dean's Office, Otago Medical School, University of Otago, 201 Great King Street, Dunedin 9016, New Zealand
| |
Collapse
|
7
|
Paudyal R, Grkovski M, Oh JH, Schöder H, Nunez DA, Hatzoglou V, Deasy JO, Humm JL, Lee NY, Shukla-Dave A. Application of Community Detection Algorithm to Investigate the Correlation between Imaging Biomarkers of Tumor Metabolism, Hypoxia, Cellularity, and Perfusion for Precision Radiotherapy in Head and Neck Squamous Cell Carcinomas. Cancers (Basel) 2021; 13:3908. [PMID: 34359810 PMCID: PMC8345739 DOI: 10.3390/cancers13153908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 11/17/2022] Open
Abstract
The present study aimed to investigate the correlation at pre-treatment (TX) between quantitative metrics derived from multimodality imaging (MMI), including 18F-FDG-PET/CT, 18F-FMISO-PET/CT, DW- and DCE-MRI, using a community detection algorithm (CDA) in head and neck squamous cell carcinoma (HNSCC) patients. Twenty-three HNSCC patients with 27 metastatic lymph nodes underwent a total of 69 MMI exams at pre-TX. Correlations among quantitative metrics derived from FDG-PET/CT (SUL), FMSIO-PET/CT (K1, k3, TBR, and DV), DW-MRI (ADC, IVIM [D, D*, and f]), and FXR DCE-MRI [Ktrans, ve, and τi]) were investigated using the CDA based on a "spin-glass model" coupled with the Spearman's rank, ρ, analysis. Mean MRI T2 weighted tumor volumes and SULmean values were moderately positively correlated (ρ = 0.48, p = 0.01). ADC and D exhibited a moderate negative correlation with SULmean (ρ ≤ -0.42, p < 0.03 for both). K1 and Ktrans were positively correlated (ρ = 0.48, p = 0.01). In contrast, Ktrans and k3max were negatively correlated (ρ = -0.41, p = 0.03). CDA revealed four communities for 16 metrics interconnected with 33 edges in the network. DV, Ktrans, and K1 had 8, 7, and 6 edges in the network, respectively. After validation in a larger population, the CDA approach may aid in identifying useful biomarkers for developing individual patient care in HNSCC.
Collapse
Affiliation(s)
- Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - Milan Grkovski
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (H.S.); (V.H.)
| | - David Aramburu Nunez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (H.S.); (V.H.)
| | - Joseph O. Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - John L. Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
| | - Nancy Y. Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (R.P.); (M.G.); (J.H.O.); (D.A.N.); (J.O.D.); (J.L.H.)
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (H.S.); (V.H.)
| |
Collapse
|
8
|
Carles M, Fechter T, Grosu AL, Sörensen A, Thomann B, Stoian RG, Wiedenmann N, Rühle A, Zamboglou C, Ruf J, Martí-Bonmatí L, Baltas D, Mix M, Nicolay NH. 18F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy. Cancers (Basel) 2021; 13:3449. [PMID: 34298663 PMCID: PMC8303992 DOI: 10.3390/cancers13143449] [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: 06/09/2021] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 12/24/2022] Open
Abstract
Tumor hypoxia is associated with radiation resistance and can be longitudinally monitored by 18F-fluoromisonidazole (18F-FMISO)-PET/CT. Our study aimed at evaluating radiomics dynamics of 18F-FMISO-hypoxia imaging during chemo-radiotherapy (CRT) as predictors for treatment outcome in head-and-neck squamous cell carcinoma (HNSCC) patients. We prospectively recruited 35 HNSCC patients undergoing definitive CRT and longitudinal 18F-FMISO-PET/CT scans at weeks 0, 2 and 5 (W0/W2/W5). Patients were classified based on peritherapeutic variations of the hypoxic sub-volume (HSV) size (increasing/stable/decreasing) and location (geographically-static/geographically-dynamic) by a new objective classification parameter (CP) accounting for spatial overlap. Additionally, 130 radiomic features (RF) were extracted from HSV at W0, and their variations during CRT were quantified by relative deviations (∆RF). Prediction of treatment outcome was considered statistically relevant after being corrected for multiple testing and confirmed for the two 18F-FMISO-PET/CT time-points and for a validation cohort. HSV decreased in 64% of patients at W2 and in 80% at W5. CP distinguished earlier disease progression (geographically-dynamic) from later disease progression (geographically-static) in both time-points and cohorts. The texture feature low grey-level zone emphasis predicted local recurrence with AUCW2 = 0.82 and AUCW5 = 0.81 in initial cohort (N = 25) and AUCW2 = 0.79 and AUCW5 = 0.80 in validation cohort. Radiomics analysis of 18F-FMISO-derived hypoxia dynamics was able to predict outcome of HNSCC patients after CRT.
Collapse
Affiliation(s)
- Montserrat Carles
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), 46026 Valencia, Spain;
| | - Tobias Fechter
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Anca L. Grosu
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Arnd Sörensen
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Benedikt Thomann
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Raluca G. Stoian
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Nicole Wiedenmann
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Alexander Rühle
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Constantinos Zamboglou
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Juri Ruf
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Luis Martí-Bonmatí
- La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), 46026 Valencia, Spain;
| | - Dimos Baltas
- Department of Radiation Oncology, Division of Medical Physics, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (T.F.); (B.T.); (D.B.)
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
| | - Michael Mix
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - Nils H. Nicolay
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg of the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.L.G.); (A.S.); (R.G.S.); (N.W.); (A.R.); (C.Z.); (J.R.); (M.M.); (N.H.N.)
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| |
Collapse
|
9
|
Lafata KJ, Chang Y, Wang C, Mowery YM, Vergalasova I, Niedzwiecki D, Yoo DS, Liu JG, Brizel DM, Yin FF. Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers. Med Phys 2021; 48:3767-3777. [PMID: 33959972 DOI: 10.1002/mp.14926] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/26/2021] [Accepted: 04/25/2021] [Indexed: 01/01/2023] Open
Abstract
PURPOSE This study investigated the prognostic potential of intra-treatment PET radiomics data in patients undergoing definitive (chemo) radiation therapy for oropharyngeal cancer (OPC) on a prospective clinical trial. We hypothesized that the radiomic expression of OPC tumors after 20 Gy is associated with recurrence-free survival (RFS). MATERIALS AND METHODS Sixty-four patients undergoing definitive (chemo)radiation for OPC were prospectively enrolled on an IRB-approved study. Investigational 18 F-FDG-PET/CT images were acquired prior to treatment and 2 weeks (20 Gy) into a seven-week course of therapy. Fifty-five quantitative radiomic features were extracted from the primary tumor as potential biomarkers of early metabolic response. An unsupervised data clustering algorithm was used to partition patients into clusters based only on their radiomic expression. Clustering results were naïvely compared to residual disease and/or subsequent recurrence and used to derive Kaplan-Meier estimators of RFS. To test whether radiomic expression provides prognostic value beyond conventional clinical features associated with head and neck cancer, multivariable Cox proportional hazards modeling was used to adjust radiomic clusters for T and N stage, HPV status, and change in tumor volume. RESULTS While pre-treatment radiomics were not prognostic, intra-treatment radiomic expression was intrinsically associated with both residual/recurrent disease (P = 0.0256, χ 2 test) and RFS (HR = 7.53, 95% CI = 2.54-22.3; P = 0.0201). On univariate Cox analysis, radiomic cluster was associated with RFS (unadjusted HR = 2.70; 95% CI = 1.26-5.76; P = 0.0104) and maintained significance after adjustment for T, N staging, HPV status, and change in tumor volume after 20 Gy (adjusted HR = 2.69; 95% CI = 1.03-7.04; P = 0.0442). The particular radiomic characteristics associated with outcomes suggest that metabolic spatial heterogeneity after 20 Gy portends complete and durable therapeutic response. This finding is independent of baseline metabolic imaging characteristics and clinical features of head and neck cancer, thus providing prognostic advantages over existing approaches. CONCLUSIONS Our data illustrate the prognostic value of intra-treatment metabolic image interrogation, which may potentially guide adaptive therapy strategies for OPC patients and serve as a blueprint for other disease sites. The quality of our study was strengthened by its prospective image acquisition protocol, homogenous patient cohort, relatively long patient follow-up times, and unsupervised clustering formalism that is less prone to hyper-parameter tuning and over-fitting compared to supervised learning.
Collapse
Affiliation(s)
- Kyle J Lafata
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Department of Radiology, Duke University School of Medicine, Durham, NC, USA.,Department of Electrical & Computer Engineering, Duke University Pratt School of Engineering, Durham, NC, USA.,Medical Physics Graduate Program, Duke University, Durham, NC, USA
| | - Yushi Chang
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Medical Physics Graduate Program, Duke University, Durham, NC, USA
| | - Chunhao Wang
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Medical Physics Graduate Program, Duke University, Durham, NC, USA
| | - Yvonne M Mowery
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Irina Vergalasova
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Donna Niedzwiecki
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - David S Yoo
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA
| | - Jian-Guo Liu
- Department of Mathematics, Duke University, Durham, NC, USA.,Department of Physics, Duke University, Durham, NC, USA
| | - David M Brizel
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Fang-Fang Yin
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC, USA.,Medical Physics Graduate Program, Duke University, Durham, NC, USA
| |
Collapse
|
10
|
Lazzeroni M, Ureba A, Wiedenmann N, Nicolay NH, Mix M, Thomann B, Baltas D, Toma-Dasu I, Grosu AL. Evolution of the hypoxic compartment on sequential oxygen partial pressure maps during radiochemotherapy in advanced head and neck cancer. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2021; 17:100-105. [PMID: 33898787 PMCID: PMC8058025 DOI: 10.1016/j.phro.2021.01.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 01/22/2021] [Accepted: 01/28/2021] [Indexed: 12/01/2022]
Abstract
Repeated PET imaging of hypoxia may be pivotal in radiotherapy outcome prediction. Oxygen partial pressure maps can be non-linearly derived from radiotracer uptake. The hypoxic target volume evolution in extension and severity can be determined. The first two treatment week parameters have potential for outcome prediction. Information may be used for treatment adaptation personalised strategies.
Background and purpose Longitudinal Positron Emission Tomography (PET) with hypoxia-specific radiotracers allows monitoring the time evolution of regions of increased radioresistance and may become fundamental in determining the radiochemotherapy outcome in Head-and-Neck Squamous Cell Carcinoma (HNSCC). The aim of this study was to investigate the evolution of the hypoxic target volume on oxygen partial pressure maps (pO2-HTV) derived from 18FMISO-PET images acquired before and during radiochemotherapy and to uncover correlations between extent and severity of hypoxia and treatment outcome. Material and methods 18FMISO-PET/CT images were acquired at three time points (before treatment start, in weeks two and five) for twenty-eight HNSCC patients treated with radiochemotherapy. The images were converted into pO2 maps and corresponding pO2-HTVs (pO2-HTV1, pO2-HTV2, pO2-HTV3) were contoured at 10 mmHg. Different parameters describing the pO2-HTV time evolution were considered, such as the percent and absolute difference between the pO2-HTVs (%HTVi,j and HTVi-HTVj with i,j = 1, 2, 3, respectively) and the slope of the linear regression curve fitting the pO2-HTVs in time. Correlations were sought between the pO2-HTV evolution parameters and loco-regional recurrence (LRR) using the Receiver Operating Characteristic method. Results The Area Under the Curve values for %HTV1,2, HTV1-HTV2, HTV1-HTV3 and the slope of the pO2-HTV linear regression curve were 0.75 (p = 0.04), 0.73 (p = 0.02), 0.73 (p = 0.02) and 0.75 (p = 0.007), respectively. Other parameter combinations were not statistically significant. Conclusions The pO2-HTV evolution during radiochemotherapy showed predictive value for LRR. The changes in the tumour hypoxia during the first two treatment weeks may be used for adaptive personalized treatment approaches.
Collapse
Affiliation(s)
- Marta Lazzeroni
- Department of Physics, Stockholm, Sweden.,Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Ana Ureba
- Skandion Clinic, Uppsala, Sweden.,Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Nicole Wiedenmann
- Department of Radiation Oncology, Medical Center, Medical Faculty Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg, Germany
| | - Nils H Nicolay
- Department of Radiation Oncology, Medical Center, Medical Faculty Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg, Germany
| | - Michael Mix
- Department of Nuclear Medicine, University Medical Center, Freiburg, Germany
| | - Benedikt Thomann
- Department of Radiation Oncology, Medical Center, Medical Faculty Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg, Germany
| | - Dimos Baltas
- Department of Radiation Oncology, Medical Center, Medical Faculty Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg, Germany
| | - Iuliana Toma-Dasu
- Department of Physics, Stockholm, Sweden.,Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Anca L Grosu
- Department of Radiation Oncology, Medical Center, Medical Faculty Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, Freiburg, Germany
| |
Collapse
|
11
|
Maruyama K, Okada T, Ueha T, Isohashi K, Ikeda H, Kanai Y, Sasaki K, Gentsu T, Ueshima E, Sofue K, Nogami M, Yamaguchi M, Sugimoto K, Sakai Y, Hatazawa J, Murakami T. In vivo evaluation of percutaneous carbon dioxide treatment for improving intratumoral hypoxia using 18F-fluoromisonidazole PET-CT. Oncol Lett 2021; 21:207. [PMID: 33574946 PMCID: PMC7816357 DOI: 10.3892/ol.2021.12468] [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: 07/31/2020] [Accepted: 12/22/2020] [Indexed: 11/23/2022] Open
Abstract
Carbon dioxide (CO2) treatment is reported to have an antitumor effect owing to the improvement in intratumoral hypoxia. Previous studies were based on histological analysis alone. In the present study, the improvement in intratumoral hypoxia by percutaneous CO2 treatment in vivo was determined using 18F-fluoromisonidazole positron emission tomography-computed tomography (18F-FMISO PET-CT) images. Twelve Japanese nude mice underwent implantation of LM8 tumor cells in the dorsal subcutaneous area 2 weeks before percutaneous CO2 treatment and 18F-FMISO PET-CT scans. Immediately after intravenous injection of 18F-FMISO, CO2 and room air were administered transcutaneously in the CO2-treated group (n=6) and a control group (n=6), respectively; each treatment was performed for 10 minutes. PET-CT was performed 2 h after administration of 18F-FMISO. 18F-FMISO tumor uptake was quantitatively evaluated using the maximum standardized uptake value (SUVmax), tumor-to-liver ratio (TLR), tumor-to-muscle ratio (TMR), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Mean ± standard error of the mean (SEM) of the tumor volume was not significantly different between the two groups (CO2-treated group, 1.178±0.450 cm3; control group, 1.368±0.295 cm3; P=0.485). Mean ± SEM of SUVmax, TLR, MTV (cm3) and TLG were significantly lower in the CO2-treated group compared with the control group (0.880±0.095 vs. 1.253±0.071, P=0.015; 1.063±0.147361 vs. 1.455±0.078, P=0.041; 0.353±0.139 vs. 1.569±0.438, P=0.015; 0.182±0.070 vs. 1.028±0.338, P=0.015), respectively. TMR was not significantly different between the two groups (4.520±0.503 vs. 5.504±0.310; P=0.240). In conclusion, 18F-FMISO PET revealed that percutaneous CO2 treatment improved intratumoral hypoxia in vivo. This technique enables assessment of the therapeutic effect in CO2 treatment by imaging, and may contribute to its clinical application.
Collapse
Affiliation(s)
- Koji Maruyama
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Takuya Okada
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Takeshi Ueha
- Division of Rehabilitation Medicine, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Kayako Isohashi
- Department of Tracer Kinetics and Nuclear Medicine, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
| | - Hayato Ikeda
- Department of Tracer Kinetics and Nuclear Medicine, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
| | - Yasukazu Kanai
- Department of Tracer Kinetics and Nuclear Medicine, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
| | - Koji Sasaki
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Tomoyuki Gentsu
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Eisuke Ueshima
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Keitaro Sofue
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Munenobu Nogami
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Masato Yamaguchi
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Koji Sugimoto
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Yoshitada Sakai
- Division of Rehabilitation Medicine, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| | - Jun Hatazawa
- Department of Tracer Kinetics and Nuclear Medicine, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
| | - Takamichi Murakami
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo 650-0017, Japan
| |
Collapse
|
12
|
Abstract
Head and neck cancers are commonly encountered malignancies in the United States, of which the majority are attributed to squamous cell carcinoma. 18F-FDG-PET/CT has been well established in the evaluation, treatment planning, prognostic implications of these tumors and is routinely applied for the management of patients with these cancers. Many alternative investigational PET radiotracers have been extensively studied in the evaluation of these tumors. Although these radiotracers have not been able to replace 18F-FDG-PET/CT in routine clinical practice currently, they may provide important additional information about the biological mechanisms of these tumors, such as foci of tumor hypoxia as seen on hypoxia specific PET radiotracers such as 18F-Fluoromisonidazole (18F-FMISO), which could be useful in targeting radioresistant hypoxic tumor foci when treatment planning. There are multiple other hypoxia-specific PET radiotracers such as 18F-Fluoroazomycinarabinoside (FAZA), 18F-Flortanidazole (HX4), which have been evaluated similarly, of which 18F-Fluoromisonidazole (18F-FMISO) has been the most investigated. Other radiotracers frequently studied in the evaluation of these tumors include radiolabeled amino acid PET radiotracers, which show increased uptake in tumor cells with limited uptake in inflammatory tissue, which can be useful especially in differentiating postradiation inflammation from residual and/or recurrent disease. 18F-Fluorothymidine (FLT) is localized intracellularly by nucleoside transport and undergoes phosphorylation thereby being retained within tumor cells and can serve as an indicator of tumor proliferation. Decrease in radiotracer activity following treatment can be an early indicator of treatment response. This review aims at synthesizing the available literature on the most studied non-FDG-PET/CT in head and neck cancer.
Collapse
Affiliation(s)
- Charles Marcus
- Department of Radiology, West Virginia University, Morgantown, WV.
| | | |
Collapse
|
13
|
Harada T, Hirose K, Wada Y, Sato M, Ichise K, Aoki M, Kato T, Takeda K, Takai Y. YC-1 sensitizes the antitumor effects of boron neutron capture therapy in hypoxic tumor cells. JOURNAL OF RADIATION RESEARCH 2020; 61:524-534. [PMID: 32367141 PMCID: PMC7336550 DOI: 10.1093/jrr/rraa024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 02/25/2020] [Indexed: 05/31/2023]
Abstract
The uptake of boron into tumor cells is a key factor in the biological effects of boron neutron capture therapy (BNCT). The uptake of boron agents is suppressed in hypoxic conditions, but the mechanism of hypoxia-induced modulation of suppression of boron uptake is not clear. Therefore, we evaluated whether hypoxia-inducible factor 1α (HIF-1α) contributes to attenuation of the antitumor effects of BNCT in hypoxic tumor cells. We also tested whether YC-1, a HIF-1α-targeting inhibitor, has therapeutic potential with BNCT. To elucidate the mechanism of attenuation of the effects of BNCT caused by hypoxia, deferoxamine (DFO) was used in experiments. Cells were incubated in normal oxygen, hypoxic conditions (1% O2) or 5 μM DFO for 24 h. Then, cells were treated with 10B-boronophenylalanine (BPA) for 2 h and boron accumulation in cells was evaluated. To clarify the relationship between HIF-1α and L-type amino acid transporter 1 (LAT1), gene expression was evaluated by a using HIF-1α gene knockdown technique. Finally, to improve attenuation of the effects of BNCT in hypoxic cells, BNCT was combined with YC-1. Boron uptake was continuously suppressed up to 2 h after administration of BPA by 5 μM DFO treatment. In cells treated with 5 μM DFO, LAT1 expression was restored in HIF-1α-knocked down samples in all cell lines, revealing that HIF-1α suppresses LAT1 expression in hypoxic cells. From the results of the surviving fraction after BNCT combined with YC-1, treatment with YC-1 sensitized the antitumor effects of BNCT in cells cultured in hypoxia.
Collapse
Affiliation(s)
- Takaomi Harada
- Department of Radiation Oncology, Southern Tohoku BNCT Research Center, 7-10 Yatsuyamada, Koriyama, Fukushima 963-8052, Japan
- Course of Radiological Technology, School of Health Sciences, Tohoku University School of Medicine, 2-1 Seiryo-cho, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Katsumi Hirose
- Department of Radiation Oncology, Southern Tohoku BNCT Research Center, 7-10 Yatsuyamada, Koriyama, Fukushima 963-8052, Japan
- Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori 036-8562, Japan
| | - Yuki Wada
- Department of Radiology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita 010-8543, Japan
| | - Mariko Sato
- Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori 036-8562, Japan
| | - Koji Ichise
- Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori 036-8562, Japan
| | - Masahiko Aoki
- Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori 036-8562, Japan
| | - Takahiro Kato
- Preparing Section for New Faculty of Medical Science, Fukushima Medical University, 1 Hikarigaoka, Fukushima, Fukushima 960-1295, Japan
| | - Ken Takeda
- Course of Radiological Technology, School of Health Sciences, Tohoku University School of Medicine, 2-1 Seiryo-cho, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Yoshihiro Takai
- Department of Radiation Oncology, Southern Tohoku BNCT Research Center, 7-10 Yatsuyamada, Koriyama, Fukushima 963-8052, Japan
- Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori 036-8562, Japan
| |
Collapse
|
14
|
Kazmierska J, Cholewinski W, Piotrowski T, Sowinska A, Bak B, Cegła P, Malicki J. Assessment of tumour hypoxia, proliferation and glucose metabolism in head and neck cancer before and during treatment. Br J Radiol 2020; 93:20180781. [PMID: 31860336 DOI: 10.1259/bjr.20180781] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE The aim of the study was to assess the feasibility of multitracer positron emission tomography (PET) imaging before and during chemoradiation and to evaluate the predictive value of image-based factors for outcome in locally advanced head and neck cancers treated with chemoradiation. METHODS In the week prior to the treatment [18F]-2-flu-2-deoxy-D-glucose (FDG), [18F]-3'-flu-3'deoxythymidine (FLT) and [18F]-flumisonidazole (FMISO) imaging was performed. FLT scans were repeated at 14 and 28 Gy and FMISO at 36 Gy. Overall survival, disease-free survival and local control were correlated with subvolume parameters, and with tumour-to-muscle ratio for FMISO. For every tracer, total metabolic tumour volume was calculated. RESULTS 33 patients were included. No correlation was found between pre-treatment maximum standardised uptake value for FDG, FLT, FMISO and outcomes. Tumour volume measured on initial CT scans and initial FLT volume correlated with disease-free survivall (p = 0.007 and 0.04 respectively). FDG and FLT metabolic tumour volumes correlated significantly with local control (p = 0.005 and 0.02 respectively). In multivariate Cox analysis only individual initial TMRmax correlated with overall survival. CONCLUSION PET/CT imaging is a promising tool. However, various aspects of image analysis need further clinical validation in larger multicentre study employing uniform imaging protocol and standardisation, especially for hypoxia tracer. ADVANCES IN KNOWLEDGE Monitoring of biological features of the tumour using multitracer PET modality seems to be a feasible option in daily clinical practice.Evaluation of hypoxic subvolumes is more patient dependent; thus, exploration of individual parameters of hypoxia is needed. tumour-to-muscle ratio seems to be the most promising so far.
Collapse
Affiliation(s)
- Joanna Kazmierska
- Electroradiology Department, University of Medical Sciences, Poznan, Poland.,Radiotherapy Department II, Greater Poland Cancer Centre, Poznan, Poland
| | - Witold Cholewinski
- Electroradiology Department, University of Medical Sciences, Poznan, Poland.,Department of Nuclear Medicine, Greater Poland Cancer Centre, Poznan, Poland
| | - Tomasz Piotrowski
- Electroradiology Department, University of Medical Sciences, Poznan, Poland.,Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland
| | - Anna Sowinska
- Department of Computer Science and Statistics, University of Medical Sciences, Poznan, Poland
| | - Bartosz Bak
- Electroradiology Department, University of Medical Sciences, Poznan, Poland.,Radiotherapy Department II, Greater Poland Cancer Centre, Poznan, Poland
| | - Paulina Cegła
- Department of Nuclear Medicine, Greater Poland Cancer Centre, Poznan, Poland
| | - Julian Malicki
- Electroradiology Department, University of Medical Sciences, Poznan, Poland.,Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland
| |
Collapse
|
15
|
Integrating molecular nuclear imaging in clinical research to improve anticancer therapy. Nat Rev Clin Oncol 2019; 16:241-255. [PMID: 30479378 DOI: 10.1038/s41571-018-0123-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Effective patient selection before or early during treatment is important to increasing the therapeutic benefits of anticancer treatments. This selection process is often predicated on biomarkers, predominantly biospecimen biomarkers derived from blood or tumour tissue; however, such biomarkers provide limited information about the true extent of disease or about the characteristics of different, potentially heterogeneous tumours present in an individual patient. Molecular imaging can also produce quantitative outputs; such imaging biomarkers can help to fill these knowledge gaps by providing complementary information on tumour characteristics, including heterogeneity and the microenvironment, as well as on pharmacokinetic parameters, drug-target engagement and responses to treatment. This integrative approach could therefore streamline biomarker and drug development, although a range of issues need to be overcome in order to enable a broader use of molecular imaging in clinical trials. In this Perspective article, we outline the multistage process of developing novel molecular imaging biomarkers. We discuss the challenges that have restricted the use of molecular imaging in clinical oncology research to date and outline future opportunities in this area.
Collapse
|
16
|
Yamane T, Aikawa M, Yasuda M, Fukushima K, Seto A, Okamoto K, Koyama I, Kuji I. [ 18F]FMISO PET/CT as a preoperative prognostic factor in patients with pancreatic cancer. EJNMMI Res 2019; 9:39. [PMID: 31073705 PMCID: PMC6509312 DOI: 10.1186/s13550-019-0507-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/15/2019] [Indexed: 12/31/2022] Open
Abstract
Background While [18F]fluoromisonidazole (FMISO), a representative PET tracer to detect hypoxia, is reported to be able to prospect the prognosis after treatment for various types of cancers, the relation is unclear for pancreatic cancer. The aim of this study is to assess the feasibility of [18F]FMISO PET/CT as a preoperative prognostic factor in patients with pancreatic cancer. Methods Patients with pancreatic cancer who had been initially planned for surgery received [18F]FMISO PET/CT. Peak standardized uptake value (SUV) of the pancreatic tumor was divided by SUVpeak of the aorta, and tumor blood ratio using SUVpeak (TBRpeak) was calculated. After preoperative examination, surgeons finally decided the operability of the patients. TBRpeak was compared with hypoxia-inducible factor (HIF)-1α immunohistochemistry when the tissues were available. Furthermore, correlation of TBRpeak with the recurrence-free survival and the overall survival were evaluated by Kaplan-Meyer methods. Results We analyzed 25 patients with pancreatic adenocarcinoma (11 women and 14 men, median age, 73 years; range, 58–81 years), and observed for 39–1101 days (median, 369 days). Nine cases (36.0%) were identified as visually positive of pancreatic cancer on [18F]FMISO PET/CT images. TBRpeak of the negative cases was significantly lower than that of the positive cases (median 1.08, interquartile range (IQR) 1.02–1.15 vs median 1.50, IQR 1.25–1.73, p < 0.001), and the cutoff TBRpeak was calculated as 1.24. Five patients were finally considered inoperable. There was no significant difference in TBRpeak of inoperable and operable patients (median 1.48, IQR 1.06–1.98 vs median 1.12, IQR 1.05–1.21, p = 0.10). There was no significant difference between TBRpeak and HIF-1α expression (p = 0.22). The patients were dichotomized by the TBRpeak cutoff, and the higher group showed significantly shorter recurrence-free survival than the other (median 218 vs 441 days, p = 0.002). As for overall survival of 20 cases of operated patients, the higher TBRpeak group showed significantly shorter overall survival than the other (median survival, 415 vs > 1000 days, p = 0.04). Conclusions [18F]FMISO PET/CT has the possibility to be a preoperative prognostic factor in patients with pancreatic cancer. Electronic supplementary material The online version of this article (10.1186/s13550-019-0507-8) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Tomohiko Yamane
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan.
| | - Masayasu Aikawa
- Department of Gastroenterological Surgery, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Masanori Yasuda
- Department of Diagnostic Pathology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Kenji Fukushima
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Akira Seto
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Koujun Okamoto
- Department of Gastroenterological Surgery, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Isamu Koyama
- Department of Gastroenterological Surgery, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| | - Ichiei Kuji
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, 350-1108, Japan
| |
Collapse
|
17
|
Repeat FMISO-PET imaging weakly correlates with hypoxia-associated gene expressions for locally advanced HNSCC treated by primary radiochemotherapy. Radiother Oncol 2019; 135:43-50. [PMID: 31015169 DOI: 10.1016/j.radonc.2019.02.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 02/07/2019] [Accepted: 02/25/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Hypoxia is an important factor of tumour resistance to radiotherapy, chemotherapy and potentially immunotherapy. It can be measured e.g. by positron emission tomography (PET) imaging or hypoxia-associated gene expressions from tumour biopsies. Here we correlate [18F]fluoromisonidazole (FMISO)-PET/CT imaging with hypoxia-associated gene expressions on a cohort of 50 head and neck squamous cell carcinoma (HNSCC) patients and compare their prognostic value for response to radiochemotherapy (RCTx). METHODS FMISO-PET/CT images of 50 HNSCC patients were acquired at four time-points before and during RCTx. For 42 of these patients, hypoxia-associated gene expressions were evaluated by nanoString technology based on a biopsy obtained before any treatment. The FMISO-PET parameters tumour-to-background ratio and hypoxic volume were correlated to the expressions of 58 hypoxia-associated genes using the Spearman correlation coefficient ρ. Three hypoxia-associated gene signatures were compared regarding their correlation with the FMISO-PET parameters using their median expression. In addition, the correlation with tumour volume was analysed. The impact of both hypoxia measurement methods on loco-regional tumour control (LRC) and overall survival (OS) was assessed by Cox regression. RESULTS The median expression of hypoxia-associated genes was weakly correlated to hypoxia measured by FMISO-PET imaging (ρ ≤ 0.43), with higher correlations to imaging after weeks 1 and 2 of treatment (p < 0.001). Moderate correlations were obtained between FMISO-PET imaging and tumour volume (ρ ≤ 0.69). Prognostic models for LRC and OS based on the FMISO-PET parameters could not be improved by including hypoxia classifiers. CONCLUSION We observed low correlations between hypoxia FMISO-PET parameters and expressions of hypoxia-associated genes. Since FMISO-PET showed a superior patient stratification, it may be the preferred biomarker over hypoxia-associated genes for stratifying patients with locally advanced HNSCC treated by primary RCTx.
Collapse
|
18
|
Bandurska-Luque A, Löck S, Haase R, Richter C, Zöphel K, Perrin R, Appold S, Krause M, Steinbach J, Kotzerke J, Hofheinz F, Zips D, Baumann M, Troost EG. Correlation between FMISO-PET based hypoxia in the primary tumour and in lymph node metastases in locally advanced HNSCC patients. Clin Transl Radiat Oncol 2019; 15:108-112. [PMID: 30834349 PMCID: PMC6384311 DOI: 10.1016/j.ctro.2019.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 02/07/2023] Open
Abstract
We investigated correlation between hypoxia in the primary tumour and LN before and during RCTx. The Correlation between primary tumour and LN hypoxia is stronger in patients with large LN compared to the entire cohort. We advise to perform a comprehensive evaluation of hypoxia in the primary tumour and LN.
Purpose This secondary analysis of the prospective study on repeat [18F]fluoromisonidazole (FMISO)-PET in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) assessed the correlation of hypoxia in the primary tumour and lymph node metastases (LN) prior to and during primary radiochemotherapy. Methods This analysis included forty-five LN-positive HNSCC patients having undergone FMISO-PET/CTs at baseline, and at week 1, 2 and 5 of radiochemotherapy. The quantitative FMISO-PET/CT parameters maximum standardised uptake value (SUVmax, corrected for partial volume effect) and peak tumour-to-background ratio (TBRpeak) were estimated in the primary tumour as well as in index and large LN, respectively. Statistical analysis was performed using the Spearman correlation coefficient ρ. Results In 15 patients with large LN (FDG-PET positive volume >5 ml), there was a significant correlation between the hypoxia measured in the primary tumour and the large LN at three out of four time-points using the TBRpeak (baseline: ρ = 0.57, p = 0.006; week 2: ρ = 0.64, p = 0.003 and week 5: ρ = 0.68, p = 0.001). For the entire cohort (N = 45) only assessed prior to the treatment, there was a statistically significant, though weak correlation between FMISO-SUVmax of the primary tumour and the index LN (ρ = 0.36, p = 0.015). Conclusions We observed a significant correlation between FMISO-based hypoxia in the primary tumour and large lymph node(s) in advanced stage HNSCC patients. However, since most patients only had relatively small hypoxic lymph node metastases, a comprehensive assessment of the primary tumour and lymph node hypoxia is essential.
Collapse
Affiliation(s)
- Anna Bandurska-Luque
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Corresponding author at: Department of Radiotherapy and Radiation Oncology, University Hospital Carl Gustav Carus Dresden, Fetscherstrasse 74, 01307 Dresden, Germany.
| | - Steffen Löck
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert Haase
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Christian Richter
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
| | - Klaus Zöphel
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases, Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| | - Rosalind Perrin
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Steffen Appold
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Mechthild Krause
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
- National Center for Tumor Diseases, Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Jörg Steinbach
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Rossendorf, Germany
- Faculty of Chemistry and Food Chemistry, Technische Universität Dresden, Dresden, Germany
| | - Jörg Kotzerke
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Frank Hofheinz
- Helmholtz-Zentrum Dresden-Rossendorf, PET Center, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Daniel Zips
- Department of Radiation Oncology, Eberhard Karls Universität Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), Partner Site Tübingen, Germany
| | - Michael Baumann
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases, Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Esther G.C. Troost
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
- National Center for Tumor Diseases, Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| |
Collapse
|
19
|
FMISO-PET-based lymph node hypoxia adds to the prognostic value of tumor only hypoxia in HNSCC patients. Radiother Oncol 2018; 130:97-103. [PMID: 30293643 DOI: 10.1016/j.radonc.2018.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 09/10/2018] [Accepted: 09/12/2018] [Indexed: 11/23/2022]
Abstract
PURPOSE This secondary analysis of the prospective study on repeat [18F]fluoromisonidazole (FMISO)-PET in patients with locally advanced head and neck squamous cell carcinomas (HNSCC) assessed the prognostic value of synchronous hypoxia in primary tumor (Tu) and lymph node metastases (LN), and evaluated whether the combined reading was of higher prognostic value than that of primary tumor hypoxia only. METHODS This analysis included forty-five LN-positive HNSCC patients. FMISO-PET/CTs were performed at baseline, weeks 1, 2 and 5 of radiochemotherapy. Based on a binary scale, Tu and LN were categorized as hypoxic or normoxic, and two prognostic parameters were defined: Tu-hypoxia (independent of the LN oxygenation status) and synchronous Tu-and-LN-hypoxia. In fifteen patients with large LN (N = 21), additional quantitative analyses of FMISO-PET/CTs were performed. Imaging parameters at different time-points were correlated to the endpoints, i.e., locoregional control (LRC), local control (LC), regional control (RC) and time to progression (TTP). Survival curves were estimated using the cumulative incidence function. Univariable and multivariable Cox regression was used to evaluate the prognostic impact of hypoxia on the endpoints. RESULTS Synchronous Tu-and-LN-hypoxia was a strong adverse prognostic factor for LC, LRC and TTP at any of the four time-points (p ≤ 0.004), whereas Tu-hypoxia only was significantly associated with poor LC and LRC in weeks 2 and 5 (p ≤ 0.047), and with TTP in week 1 (p = 0.046). The multivariable analysis confirmed the prognostic value of synchronous Tu-and-LN-hypoxia regarding LRC (HR = 14.8, p = 0.017). The quantitative FMISO-PET/CT parameters correlated with qualitative hypoxia scale and RC (p < 0.001, p ≤ 0.033 at week 2, respectively). CONCLUSIONS This secondary analysis suggests that combined reading of primary tumor and LN hypoxia adds to the prognostic information of FMSIO-PET in comparison to primary tumor assessment alone in particular prior and early during radiochemotherapy. Confirmation in ongoing trials is needed before using this marker for personalized radiation oncology.
Collapse
|
20
|
Bonnitcha P, Grieve S, Figtree G. Clinical imaging of hypoxia: Current status and future directions. Free Radic Biol Med 2018; 126:296-312. [PMID: 30130569 DOI: 10.1016/j.freeradbiomed.2018.08.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 07/30/2018] [Accepted: 08/14/2018] [Indexed: 12/20/2022]
Abstract
Tissue hypoxia is a key feature of many important causes of morbidity and mortality. In pathologies such as stroke, peripheral vascular disease and ischaemic heart disease, hypoxia is largely a consequence of low blood flow induced ischaemia, hence perfusion imaging is often used as a surrogate for hypoxia to guide clinical diagnosis and treatment. Importantly, ischaemia and hypoxia are not synonymous conditions as it is not universally true that well perfused tissues are normoxic or that poorly perfused tissues are hypoxic. In pathologies such as cancer, for instance, perfusion imaging and oxygen concentration are less well correlated, and oxygen concentration is independently correlated to radiotherapy response and overall treatment outcomes. In addition, the progression of many diseases is intricately related to maladaptive responses to the hypoxia itself. Thus there is potentially great clinical and scientific utility in direct measurements of tissue oxygenation. Despite this, imaging assessment of hypoxia in patients is rarely performed in clinical settings. This review summarises some of the current methods used to clinically evaluate hypoxia, the barriers to the routine use of these methods and the newer agents and techniques being explored for the assessment of hypoxia in pathological processes.
Collapse
Affiliation(s)
- Paul Bonnitcha
- Northern and Central Clinical Schools, Faculty of Medicine, Sydney University, Sydney, NSW 2006, Australia; Chemical Pathology Department, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales 2065, Australia.
| | - Stuart Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and Sydney Medical School, University of Sydney, NSW 2050, Australia
| | - Gemma Figtree
- Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales 2065, Australia; Cardiology Department, Royal North Shore Hospital, St Leonards, New South Wales 2065, Australia
| |
Collapse
|
21
|
Araos J, Sleeman JP, Garvalov BK. The role of hypoxic signalling in metastasis: towards translating knowledge of basic biology into novel anti-tumour strategies. Clin Exp Metastasis 2018; 35:563-599. [DOI: 10.1007/s10585-018-9930-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 08/13/2018] [Indexed: 02/06/2023]
|
22
|
Asano A, Ueda S, Kuji I, Yamane T, Takeuchi H, Hirokawa E, Sugitani I, Shimada H, Hasebe T, Osaki A, Saeki T. Intracellular hypoxia measured by 18F-fluoromisonidazole positron emission tomography has prognostic impact in patients with estrogen receptor-positive breast cancer. Breast Cancer Res 2018; 20:78. [PMID: 30053906 PMCID: PMC6063018 DOI: 10.1186/s13058-018-0970-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 04/20/2018] [Indexed: 02/08/2023] Open
Abstract
Background Hypoxia is a key driver of cancer progression. We evaluated the prognostic impact of 18F-fluoromisonidazole (FMISO) prior to treatment in patients with breast cancer. Methods Forty-four patients with stage II/III primary breast cancer underwent positron emission tomography/computed with 18F-fluorodeoxyglucose (FDG-PET/CT) and FMISO. After measurement by FDG-PET/CT, the tissue-to-blood ratio (TBR) was obtained using FMISO-PET/CT. FMISO-TBR was compared for correlation with clinicopathological factors, disease-free survival (DFS), and overall survival (OS). Multiplex cytokines were analyzed for the correlation of FMISO-TBR. Results Tumors with higher nuclear grade and negativities of estrogen receptor (ER) and progesterone receptor had significantly higher FMISO-TBR than other tumors. Kaplan-Meier survival curves showed that patients with a higher FMISO-TBR (cutoff, 1.48) had a poorer prognosis of DFS (p = 0.0007) and OS (p = 0.04) than those with a lower FMISO-TBR. Multivariate analysis indicated that higher FMISO-TBR and ER negativity were independent predictors of shorter DFS (p = 0.01 and 0.03). Higher FMISO-TBR was associated with higher plasma levels of angiogenic hypoxic markers such as vascular endothelial growth factor, transforming growth factor-α, and interleukin 8. Conclusions FMISO-PET/CT is useful for assessing the prognosis of patients with breast cancer, but it should be stratified by ER status. Trial registration UMIN Clinical Trials Registry, UMIN000006802. Registered on 1 December 2011. Electronic supplementary material The online version of this article (10.1186/s13058-018-0970-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Aya Asano
- Department of Breast Oncology, Saitama Medical University, 38 Morohongo, Moroyama-machi, Irumagun, Saitama, 350-0451, Japan
| | - Shigeto Ueda
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Ichiei Kuji
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan.
| | - Tomohiko Yamane
- Department of Nuclear Medicine, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Hideki Takeuchi
- Department of Breast Oncology, Saitama Medical University, 38 Morohongo, Moroyama-machi, Irumagun, Saitama, 350-0451, Japan
| | - Eiko Hirokawa
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Ikuko Sugitani
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Hiroko Shimada
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Takahiro Hasebe
- Department of Pathology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Akihiko Osaki
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| | - Toshiaki Saeki
- Department of Breast Oncology, Saitama Medical University International Medical Center, 1397-1 Yamane, Hidaka, Saitama, 350-1241, Japan
| |
Collapse
|
23
|
Kelada OJ, Rockwell S, Zheng MQ, Huang Y, Liu Y, Booth CJ, Decker RH, Oelfke U, Carson RE, Carlson DJ. Quantification of Tumor Hypoxic Fractions Using Positron Emission Tomography with [ 18F]Fluoromisonidazole ([ 18F]FMISO) Kinetic Analysis and Invasive Oxygen Measurements. Mol Imaging Biol 2018; 19:893-902. [PMID: 28409339 DOI: 10.1007/s11307-017-1083-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study is to use dynamic [18F]fluoromisonidazole ([18F]FMISO) positron emission tomography (PET) to compare estimates of tumor hypoxic fractions (HFs) derived by tracer kinetic modeling, tissue-to-blood ratios (TBR), and independent oxygen (pO2) measurements. PROCEDURES BALB/c mice with EMT6 subcutaneous tumors were selected for PET imaging and invasive pO2 measurements. Data from 120-min dynamic [18F]FMISO scans were fit to two-compartment irreversible three rate constant (K 1, k 2, k 3) and Patlak models (K i). Tumor HFs were calculated and compared using K i, k 3, TBR, and pO2 values. The clinical impact of each method was evaluated on [18F]FMISO scans for three non-small cell lung cancer (NSCLC) radiotherapy patients. RESULTS HFs defined by TBR (≥1.2, ≥1.3, and ≥1.4) ranged from 2 to 85 % of absolute tumor volume. HFs defined by K i (>0.004 ml min cm-3) and k 3 (>0.008 min-1) varied from 9 to 85 %. HF quantification was highly dependent on metric (TBR, k 3, or K i) and threshold. HFs quantified on human [18F]FMISO scans varied from 38 to 67, 0 to 14, and 0.1 to 27 %, for each patient, respectively, using TBR, k 3, and K i metrics. CONCLUSIONS [18F]FMISO PET imaging metric choice and threshold impacts hypoxia quantification reliability. Our results suggest that tracer kinetic modeling has the potential to improve hypoxia quantification clinically as it may provide a stronger correlation with direct pO2 measurements.
Collapse
Affiliation(s)
- Olivia J Kelada
- Department of Therapeutic Radiology, Yale University School of Medicine, P.O. Box 208040, New Haven, CT, 06520-8040, USA.,Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Sara Rockwell
- Department of Therapeutic Radiology, Yale University School of Medicine, P.O. Box 208040, New Haven, CT, 06520-8040, USA.,Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
| | - Ming-Qiang Zheng
- Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Yiyun Huang
- Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Yanfeng Liu
- Department of Therapeutic Radiology, Yale University School of Medicine, P.O. Box 208040, New Haven, CT, 06520-8040, USA
| | - Carmen J Booth
- Section of Comparative Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Roy H Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, P.O. Box 208040, New Haven, CT, 06520-8040, USA
| | - Uwe Oelfke
- Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Richard E Carson
- Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - David J Carlson
- Department of Therapeutic Radiology, Yale University School of Medicine, P.O. Box 208040, New Haven, CT, 06520-8040, USA.
| |
Collapse
|
24
|
Challapalli A, Carroll L, Aboagye EO. Molecular mechanisms of hypoxia in cancer. Clin Transl Imaging 2017; 5:225-253. [PMID: 28596947 PMCID: PMC5437135 DOI: 10.1007/s40336-017-0231-1] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 04/21/2017] [Indexed: 02/07/2023]
Abstract
PURPOSE Hypoxia is a condition of insufficient oxygen to support metabolism which occurs when the vascular supply is interrupted, or when a tumour outgrows its vascular supply. It is a negative prognostic factor due to its association with an aggressive tumour phenotype and therapeutic resistance. This review provides an overview of hypoxia imaging with Positron emission tomography (PET), with an emphasis on the biological relevance, mechanism of action, highlighting advantages, and limitations of the currently available hypoxia radiotracers. METHODS A comprehensive PubMed literature search was performed, identifying articles relating to biological significance and measurement of hypoxia, MRI methods, and PET imaging of hypoxia in preclinical and clinical settings, up to December 2016. RESULTS A variety of approaches have been explored over the years for detecting and monitoring changes in tumour hypoxia, including regional measurements with oxygen electrodes placed under CT guidance, MRI methods that measure either oxygenation or lactate production consequent to hypoxia, different nuclear medicine approaches that utilise imaging agents the accumulation of which is inversely related to oxygen tension, and optical methods. The advantages and disadvantages of these approaches are reviewed, along with individual strategies for validating different imaging methods. PET is the preferred method for imaging tumour hypoxia due to its high specificity and sensitivity to probe physiological processes in vivo, as well as the ability to provide information about intracellular oxygenation levels. CONCLUSION Even though hypoxia could have significant prognostic and predictive value in the clinic, the best method for hypoxia assessment has in our opinion not been realised.
Collapse
Affiliation(s)
- Amarnath Challapalli
- Department of Clinical Oncology, Bristol Cancer Institute, Horfield Road, Bristol, United Kingdom
| | - Laurence Carroll
- Department of Surgery and Cancer, Imperial College, GN1, Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W120NN United Kingdom
| | - Eric O. Aboagye
- Department of Surgery and Cancer, Imperial College, GN1, Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W120NN United Kingdom
| |
Collapse
|
25
|
Warren DR, Partridge M. The role of necrosis, acute hypoxia and chronic hypoxia in 18F-FMISO PET image contrast: a computational modelling study. Phys Med Biol 2016; 61:8596-8624. [PMID: 27880734 PMCID: PMC5717515 DOI: 10.1088/1361-6560/61/24/8596] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 09/14/2016] [Accepted: 10/26/2016] [Indexed: 12/22/2022]
Abstract
Positron emission tomography (PET) using 18F-fluoromisonidazole (FMISO) is a promising technique for imaging tumour hypoxia, and a potential target for radiotherapy dose-painting. However, the relationship between FMISO uptake and oxygen partial pressure ([Formula: see text]) is yet to be quantified fully. Tissue oxygenation varies over distances much smaller than clinical PET resolution (<100 μm versus ∼4 mm), and cyclic variations in tumour perfusion have been observed on timescales shorter than typical FMISO PET studies (∼20 min versus a few hours). Furthermore, tracer uptake may be decreased in voxels containing some degree of necrosis. This work develops a computational model of FMISO uptake in millimetre-scale tumour regions. Coupled partial differential equations govern the evolution of oxygen and FMISO distributions, and a dynamic vascular source map represents temporal variations in perfusion. Local FMISO binding capacity is modulated by the necrotic fraction. Outputs include spatiotemporal maps of [Formula: see text] and tracer accumulation, enabling calculation of tissue-to-blood ratios (TBRs) and time-activity curves (TACs) as a function of mean tissue oxygenation. The model is characterised using experimental data, finding half-maximal FMISO binding at local [Formula: see text] of 1.4 mmHg (95% CI: 0.3-2.6 mmHg) and half-maximal necrosis at 1.2 mmHg (0.1-4.9 mmHg). Simulations predict a non-linear non-monotonic relationship between FMISO activity (4 hr post-injection) and mean tissue [Formula: see text] : tracer uptake rises sharply from negligible levels in avascular tissue, peaking at ∼5 mmHg and declining towards blood activity in well-oxygenated conditions. Greater temporal variation in perfusion increases peak TBRs (range 2.20-5.27) as a result of smaller predicted necrotic fraction, rather than fundamental differences in FMISO accumulation under acute hypoxia. Identical late FMISO uptake can occur in regions with differing [Formula: see text] and necrotic fraction, but simulated TACs indicate that additional early-phase information may allow discrimination of hypoxic and necrotic signals. We conclude that a robust approach to FMISO interpretation (and dose-painting prescription) is likely to be based on dynamic PET analysis.
Collapse
Affiliation(s)
- Daniel R Warren
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Mike Partridge
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| |
Collapse
|
26
|
Dynamic contrast-enhanced MR imaging in predicting progression of enhancing lesions persisting after standard treatment in glioblastoma patients: a prospective study. Eur Radiol 2016; 27:3156-3166. [PMID: 27975145 DOI: 10.1007/s00330-016-4692-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 11/02/2016] [Accepted: 11/29/2016] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To prospectively explore the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting the progression of enhancing lesions persisting after standard treatment in patients with surgically resected glioblastoma (GBM). METHODS Forty-seven GBM patients, who underwent near-total tumorectomy followed by concurrent chemoradiation therapy (CCRT) with temozolomide (TMZ) between May 2014 and February 2016, were enrolled. Twenty-four patients were finally analyzed for measurable enhancing lesions persisting after standard treatment. DCE-MRI parameters were calculated at enhancing lesions. Mann-Whitney U tests and multivariable stepwise logistic regression were used to compare parameters between progression (n = 16) and non-progression (n = 8) groups. RESULTS Mean Ktrans and ve were significantly lower in progression than in non-progression (P = 0.037 and P = 0.037, respectively). The 5th percentile of the cumulative Ktrans histogram was also significantly lower in the progression than in non-progression group (P = 0.017). Mean ve was the only independent predictor of progression (P = 0.007), with a sensitivity of 100%, specificity of 63%, and an overall accuracy of 88% at a cut-off value of 0.873. CONCLUSIONS DCE-MRI may help predict the progression of enhancing lesions persisting after the completion of standard treatment in patients with surgically resected GBM, with mean ve serving as an independent predictor of progression. KEY POINTS • Enhancing lesions may persist after standard treatment in GBM patients. • DCE-MRI may help predict the progression of the enhancing lesions. • Mean K trans and v e were lower in progression than in non-progression group. • DCE-MRI may help identify patients requiring close follow-up after standard treatment. • DCE-MRI may help plan treatment strategies for GBM patients.
Collapse
|
27
|
Barajas RF, Krohn KA, Link JM, Hawkins RA, Clarke JL, Pampaloni MH, Cha S. Glioma FMISO PET/MR Imaging Concurrent with Antiangiogenic Therapy: Molecular Imaging as a Clinical Tool in the Burgeoning Era of Personalized Medicine. Biomedicines 2016; 4:biomedicines4040024. [PMID: 28536391 PMCID: PMC5344267 DOI: 10.3390/biomedicines4040024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 10/27/2016] [Accepted: 10/29/2016] [Indexed: 01/17/2023] Open
Abstract
The purpose of this article is to provide a focused overview of the current use of positron emission tomography (PET) molecular imaging in the burgeoning era of personalized medicine in the treatment of patients with glioma. Specifically, we demonstrate the utility of PET imaging as a tool for personalized diagnosis and therapy by highlighting a case series of four patients with recurrent high grade glioma who underwent 18F-fluoromisonidazole (FMISO) PET/MR (magnetic resonance) imaging through the course of antiangiogenic therapy. Three distinct features were observed from this small cohort of patients. First, the presence of pseudoprogression was retrospectively associated with the absence of hypoxia. Second, a subgroup of patients with recurrent high grade glioma undergoing bevacizumab therapy demonstrated disease progression characterized by an enlarging nonenhancing mass with newly developed reduced diffusion, lack of hypoxia, and preserved cerebral blood volume. Finally, a reduction in hypoxic volume was observed concurrent with therapy in all patients with recurrent tumor, and markedly so in two patients that developed a nonenhancing reduced diffusion mass. This case series demonstrates how medical imaging has the potential to influence personalized medicine in several key aspects, especially involving molecular PET imaging for personalized diagnosis, patient specific disease prognosis, and therapeutic monitoring.
Collapse
Affiliation(s)
- Ramon F Barajas
- Department of Radiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
- Advanced Imaging Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
| | - Kenneth A Krohn
- Department of Radiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
- Radiochemistry Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
| | - Jeanne M Link
- Department of Radiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
- Radiochemistry Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA.
| | - Randall A Hawkins
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628, USA.
| | - Jennifer L Clarke
- Neurological Surgery, University of California, San Francisco, 505 Parnassus Ave., Room 779 M, San Francisco, CA 94143-0112, USA.
| | - Miguel H Pampaloni
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628, USA.
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628, USA.
- Neurological Surgery, University of California, San Francisco, 505 Parnassus Ave., Room 779 M, San Francisco, CA 94143-0112, USA.
| |
Collapse
|
28
|
|
29
|
Quartuccio N, Caobelli F, Di Mauro F, Cammaroto G. Non-18F-FDG PET/CT in the management of patients affected by HNC: state-of-the-art. Nucl Med Commun 2016; 37:891-8. [PMID: 27139114 DOI: 10.1097/mnm.0000000000000530] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PET/computed tomography with F-fluorodeoxyglucose is considered a powerful molecular imaging technique that can provide useful information in the management of patients affected by head and neck cancer. However, misleading findings have been reported because of nonspecific uptake caused by peritumoural inflammation and physiologic changes in nonmalignant tissues in the head and neck region. More specific β-emitting tracers have been introduced that can track other pathological processes. We aimed to review the existing literature performing the search until June 2015 on non-F-fluorodeoxyglucose PET tracers in head and neck cancer to highlight their role in clinical practice.
Collapse
Affiliation(s)
- Natale Quartuccio
- aWolfson Molecular Imaging Centre, University of Manchester, Manchester, UK bDepartment of Nuclear Medicine, Hannover Medical School, Hanover, Germany cDepartment of Nuclear Medicine, Universitätsspital Basel, Basel, Switzerland dNuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images eDepartment of Otorhinolaryngology, University of Messina, Messina fYoung Executive Committee of the Italian Association of Nuclear Medicine (AIMN), Milan, Italy
| | | | | | | | | |
Collapse
|
30
|
Mönnich D, Welz S, Thorwarth D, Pfannenberg C, Reischl G, Mauz PS, Nikolaou K, la Fougère C, Zips D. Robustness of quantitative hypoxia PET image analysis for predicting local tumor control. Acta Oncol 2016; 54:1364-9. [PMID: 26481464 DOI: 10.3109/0284186x.2015.1071496] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Previous studies suggested the maximum tumor to background ratio (TBRmax) in FMISO PET images as a potentially predictive parameter for local control after radio-chemotherapy (CRT) in head and neck squamous cell carcinomas (HNSCC). However, different TBRmax thresholds for stratification were reported, implying that a common threshold cannot readily be used among different institutions without the risk of reducing prediction accuracy. Therefore, this study investigated the robustness of using a common pre-defined TBRmax, simulating a multicenter clinical trial. MATERIAL AND METHODS FMISO PET/CT was performed four hours post-injection in 22 patients with advanced HNSCC in a phase II FMISO dose escalation study. PET background regions of interest (ROIs) were manually defined in deep neck muscles. TBRmax was calculated as the mean of the highest-valued voxels within the high risk RT planning target volume. Its predictive power with respect to local control was tested, classifying patients using median TBRmax as threshold. The influence of systematically varying quantification between institutions was studied in silico by applying offsets of ± 10% and ± 20% to the TBRmax of all patients, while the threshold remained constant. The effect was analyzed using a receiver operating characteristic (ROC). True positive and false positive rates (TPR/FPR) as well as positive and negative predictive values (PPV/NPV) were evaluated. RESULTS For the reference condition without an offset the median TBRmax was 2.0 (1.4-3.5). Patients were classified using this threshold and TPR = 0.7, FPR = 0.4, PPV = 0.5 and NPV = 0.8 were observed. Accuracy declined with increasing offsets. Negative offsets of -10% and -20% resulted in TPR = 0.43 and 0.14, FPR = 0.20 and 0.13, PPV = 0.50 and 0.33 and NPV = 0.75 and 0.68, respectively. Positive offsets of + 10% and + 20% resulted in TPR = 1.00 and 1.00, FPR = 0.53 and 0.67, PPV = 0.47 and 0.41 and NPV = 1.00 and 1.00, respectively. CONCLUSIONS Using a common pre-defined TBRmax threshold in multicenter trials requires careful standardization and harmonization of all steps from patient preparation to image analysis. Our results indicate that TBRmax should deviate less than 10% from reference conditions (absolute value in this dataset ± 0.2). This conclusion likely applies to all low contrast nitroimidazole hypoxia PET tracers.
Collapse
Affiliation(s)
- David Mönnich
- a Section for Biomedical Physics, Department of Radiation Oncology , Eberhard Karls University Tübingen , Germany
- b German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - Stefan Welz
- c Department of Radiation Oncology , Eberhard Karls University Tübingen , Germany
| | - Daniela Thorwarth
- a Section for Biomedical Physics, Department of Radiation Oncology , Eberhard Karls University Tübingen , Germany
| | - Christina Pfannenberg
- d Department of Diagnostic and Interventional Radiology , Eberhard Karls University Tübingen , Germany
| | - Gerald Reischl
- e Department of Preclinical Imaging and Radiopharmacy , Eberhard Karls University Tübingen , Germany
| | - Paul-Stefan Mauz
- f Department of Otorhinolaryngology , Head and Neck Surgery, Eberhard Karls University Tübingen , Germany
| | - Konstantin Nikolaou
- d Department of Diagnostic and Interventional Radiology , Eberhard Karls University Tübingen , Germany
| | | | - Daniel Zips
- c Department of Radiation Oncology , Eberhard Karls University Tübingen , Germany
| |
Collapse
|
31
|
Cammaroto G, Quartuccio N, Sindoni A, Di Mauro F, Caobelli F. The role of PET/CT in the management of patients affected by head and neck tumors: a review of the literature. Eur Arch Otorhinolaryngol 2016; 273:1961-73. [PMID: 25971995 DOI: 10.1007/s00405-015-3651-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Accepted: 05/06/2015] [Indexed: 02/07/2023]
Abstract
The management of head and neck tumor (HNSCC) has been changing over the years, especially due to the aid of imaging techniques that help physicians to attain a correct diagnosis. These techniques represent a valuable tool to help tailor treatment and during follow-up of patients affected by malignancies. The aim of this review is to summarize the results of the most recent and relevant studies about the use of PET imaging in HNSCCs. This review is divided into six chapters: (1) The role of PET/CT in the pre-treatment phase; (2) PET/CT and radiotherapy planning; (3) PET/CT in the post-treatment setting; (4) PET/CT and SUVmax for prediction of prognosis; (5) miscellanea on the utility of PET in specific HNSCCs; (6) non-FDG PET tracers used in HNSCC. Promising results have been obtained so far. Despite the encouraging outcomes, more investigations are needed to warrant the value of this technique, especially in the pre-treatment setting.
Collapse
Affiliation(s)
- Giovanni Cammaroto
- Department of Otorhinolaryngology, University of Messina, Via Consolare Valeria 1, 98100, Messina, Italy.
| | - Natale Quartuccio
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
| | - Alessandro Sindoni
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
| | - Francesca Di Mauro
- Nuclear Medicine Unit, Department of Biomedical Sciences and Morphologic and Functional Images, University of Messina, Messina, Italy
| | | | | |
Collapse
|
32
|
Min M, Lin P, Liney G, Lee M, Forstner D, Fowler A, Holloway L. A review of the predictive role of functional imaging in patients with mucosal primary head and neck cancer treated with radiation therapy. J Med Imaging Radiat Oncol 2016; 61:99-123. [DOI: 10.1111/1754-9485.12496] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Accepted: 06/11/2016] [Indexed: 12/14/2022]
Affiliation(s)
- Myo Min
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Peter Lin
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Department of Nuclear Medicine and Positron Emission Tomography; Liverpool Hospital; Liverpool New South Wales Australia
- University of Western Sydney; Sydney New South Wales Australia
| | - Gary Liney
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
| | - Mark Lee
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
| | - Dion Forstner
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Allan Fowler
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
| | - Lois Holloway
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
- Institute of Medical Physics; School of Physics; University of Sydney; Sydney New South Wales Australia
| |
Collapse
|
33
|
Curtis KK, Wong WW, Ross HJ. Past approaches and future directions for targeting tumor hypoxia in squamous cell carcinomas of the head and neck. Crit Rev Oncol Hematol 2016; 103:86-98. [DOI: 10.1016/j.critrevonc.2016.05.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 04/04/2016] [Accepted: 05/10/2016] [Indexed: 12/27/2022] Open
|
34
|
Zuo J, Wen M, Lei M, Peng X, Yang X, Liu Z. MiR-210 links hypoxia with cell proliferation regulation in human Laryngocarcinoma cancer. J Cell Biochem 2016; 116:1039-49. [PMID: 25639884 DOI: 10.1002/jcb.25059] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Accepted: 12/18/2014] [Indexed: 12/22/2022]
Abstract
The microRNA hsa-miR-210 (miR-210) is associated with hypoxia; however its function has not fully identified. In the present study, we aim to detect its role concerning proliferation in Laryngocarcinoma. We found that miR-210 was highly expressed in hypoxia, which inhibited proliferation by inducing cell cycle arrest in G1/G0 as well as apoptosis. We further identified that miR-210 targeted fibroblast growth factor receptor-like 1 (FGFRL1). Down regulation of FGFRL1 decreased cell proliferation by promoting proportion of cells in G1/G0 phase and decreasing in S and G2/M phases. Moreover, overexpression of FGFRL1 effectively released the miR-210-induced suppression of SCC10A cell proliferation. Expression of miR-210 repressed tumor xenograft growth in vivo as well. Together, our findings reveal a new mechanism of adaptation to hypoxia that miR-210 inhibits the proliferation via inducing cell cycle arrest and apoptosis by the targeting of FGFRL1. J. Cell. Biochem. 116: 1039-1049, 2015. © 2015 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Jianhong Zuo
- State Key Laboratory of Respiratory Disease for Allergy at Shenzhen University, School of Medicine, Shenzhen University, Shenzhen, Guangdong, 518060, China; The Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan, 421001, China; School of Medicine, University of South China, Hengyang, Hunan, 421001, China
| | | | | | | | | | | |
Collapse
|
35
|
Chirla R, Marcu LG. PET-based quantification of statistical properties of hypoxic tumor subvolumes in head and neck cancer. Phys Med 2016; 32:23-35. [DOI: 10.1016/j.ejmp.2015.12.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 11/29/2015] [Accepted: 12/13/2015] [Indexed: 11/30/2022] Open
|
36
|
Abstract
Tumor hypoxia is a clinically relevant cause of radiation resistance. Direct measurements of tumor oxygenation have been performed predominantly with the Eppendorf histograph and these have defined the reduced prognosis after radiotherapy in poorly oxygenated tumors, especially head-and-neck cancer, cervix cancer and sarcoma. Exogenous markers have been used for immunohistochemical detection of hypoxic tumor areas (pimonidazole) or for positron-emission tomography (PET) imaging (misonidazole). Overexpression of hypoxia-related proteins such as hypoxia-inducible factor-1α (HIF-1α) has also been linked to poor prognosis after radiotherapy and such proteins are considered as potential endogenous hypoxia markers.
Collapse
Affiliation(s)
- Dirk Vordermark
- Universitätsklinik und Poliklinik für Strahlentherapie, Martin-Luther-Universität Halle-Wittenberg, Halle/Saale, Germany.
| | - Michael R Horsman
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| |
Collapse
|
37
|
Rajendran JG, Krohn KA. F-18 fluoromisonidazole for imaging tumor hypoxia: imaging the microenvironment for personalized cancer therapy. Semin Nucl Med 2015; 45:151-62. [PMID: 25704387 DOI: 10.1053/j.semnuclmed.2014.10.006] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Hypoxia in solid tumors is one of the seminal mechanisms for developing aggressive trait and treatment resistance in solid tumors. This evolutionarily conserved biological mechanism along with derepression of cellular functions in cancer, although resulting in many challenges, provide us with opportunities to use these adversities to our advantage. Our ability to use molecular imaging to characterize therapeutic targets such as hypoxia and apply this information for therapeutic interventions is growing rapidly. Evaluation of hypoxia and its biological ramifications to effectively plan appropriate therapy that can overcome the cure-limiting effects of hypoxia provides an objective means for treatment selection and planning. Fluoromisonidazole (FMISO) continues to be the lead radiopharmaceutical in PET imaging for the evaluation, prognostication, and quantification of tumor hypoxia, one of the key elements of the tumor microenvironment. FMISO is less confounded by blood flow, and although the images have less contrast than FDG-PET, its uptake after 2 hours is an accurate reflection of inadequate regional oxygen partial pressure at the time of radiopharmaceutical administration. By virtue of extensive clinical utilization, FMISO remains the lead candidate for imaging and quantifying hypoxia. The past decade has seen significant technological advances in investigating hypoxia imaging in radiation treatment planning and in providing us with the ability to individualize radiation delivery and target volume coverage. The presence of widespread hypoxia in the tumor can be effectively targeted with a systemic hypoxic cell cytotoxin or other agents that are more effective with diminished oxygen partial pressure, either alone or in combination. Molecular imaging in general and hypoxia imaging in particular will likely become an important in vivo imaging biomarker of the future, complementing the traditional direct tissue sampling methods by providing a snap shot of a primary tumor and metastatic disease and in following treatment response and will serve as adjuncts to personalized therapy.
Collapse
Affiliation(s)
- Joseph G Rajendran
- Department of Radiology, University of Washington, Seattle, WA; Department of Radiation Oncology, University of Washington, Seattle, WA.
| | - Kenneth A Krohn
- Department of Radiology, University of Washington, Seattle, WA; Department of Radiation Oncology, University of Washington, Seattle, WA
| |
Collapse
|
38
|
Tamaki N, Hirata K. Tumor hypoxia: a new PET imaging biomarker in clinical oncology. Int J Clin Oncol 2015; 21:619-625. [DOI: 10.1007/s10147-015-0920-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 10/20/2015] [Indexed: 01/02/2023]
|
39
|
Integration of imaging into clinical practice to assess the delivery and performance of macromolecular and nanotechnology-based oncology therapies. J Control Release 2015; 219:295-312. [PMID: 26403800 DOI: 10.1016/j.jconrel.2015.09.036] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 09/19/2015] [Accepted: 09/19/2015] [Indexed: 01/02/2023]
Abstract
Functional and molecular imaging has become increasingly used to evaluate interpatient and intrapatient tumor heterogeneity. Imaging allows for assessment of microenvironment parameters including tumor hypoxia, perfusion and proliferation, as well as tumor metabolism and the intratumoral distribution of specific molecular markers. Imaging information may be used to stratify patients for targeted therapies, and to define patient populations that may benefit from alternative therapeutic approaches. It also provides a method for non-invasive monitoring of treatment response at earlier time-points than traditional cues, such as tumor shrinkage. Further, companion diagnostic imaging techniques are becoming progressively more important for development and clinical implementation of targeted therapies. Imaging-based companion diagnostics are likely to be essential for the validation and FDA approval of targeted nanotherapies and macromolecular medicines. This review describes recent clinical advances in the use of functional and molecular imaging to evaluate the tumor microenvironment. Additionally, this article focuses on image-based assessment of distribution and anti-tumor effect of nano- and macromolecular systems.
Collapse
|
40
|
Fleming IN, Manavaki R, Blower PJ, West C, Williams KJ, Harris AL, Domarkas J, Lord S, Baldry C, Gilbert FJ. Imaging tumour hypoxia with positron emission tomography. Br J Cancer 2015; 112:238-50. [PMID: 25514380 PMCID: PMC4453462 DOI: 10.1038/bjc.2014.610] [Citation(s) in RCA: 234] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Revised: 09/30/2014] [Accepted: 11/10/2014] [Indexed: 01/02/2023] Open
Abstract
Hypoxia, a hallmark of most solid tumours, is a negative prognostic factor due to its association with an aggressive tumour phenotype and therapeutic resistance. Given its prominent role in oncology, accurate detection of hypoxia is important, as it impacts on prognosis and could influence treatment planning. A variety of approaches have been explored over the years for detecting and monitoring changes in hypoxia in tumours, including biological markers and noninvasive imaging techniques. Positron emission tomography (PET) is the preferred method for imaging tumour hypoxia due to its high specificity and sensitivity to probe physiological processes in vivo, as well as the ability to provide information about intracellular oxygenation levels. This review provides an overview of imaging hypoxia with PET, with an emphasis on the advantages and limitations of the currently available hypoxia radiotracers.
Collapse
Affiliation(s)
- I N Fleming
- Aberdeen Biomedical Imaging Centre, Lilian Sutton Building, Foresterhill, Aberdeen AB25 2ZD, UK
| | - R Manavaki
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218-Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - P J Blower
- Division of Imaging Sciences and Biomedical Engineering, St Thomas' Hospital, King's College London, 4th Floor, Lambeth Wing, London SE1 7EH, UK
| | - C West
- Manchester Academic Health Science Centre, Institute of Cancer Sciences, University of Manchester, Wilmslow Road, Manchester M20 4BX, UK
| | - K J Williams
- Manchester Pharmacy School, Faculty of Medical and Human Sciences, University Manchester, Stopford Building, Oxford Road, Manchester M13 9PT, UK
- EPSRC and CRUK Cancer Imaging Centre in Cambridge and Manchester, Cambridge, UK
| | - A L Harris
- Molecular Oncology Laboratories, University Department of Medical Oncology, The Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - J Domarkas
- Centre for Cardiovascular and Metabolic Research, Respiratory Medicine, Hull-York Medical School, University of Hull, Hull HU16 5JQ, UK
| | - S Lord
- Molecular Oncology Laboratories, University Department of Medical Oncology, The Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK
| | - C Baldry
- Division of Imaging Sciences and Biomedical Engineering, St Thomas' Hospital, King's College London, 4th Floor, Lambeth Wing, London SE1 7EH, UK
| | - F J Gilbert
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Box 218-Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
- EPSRC and CRUK Cancer Imaging Centre in Cambridge and Manchester, Cambridge, UK
| |
Collapse
|
41
|
Verwer EE, Boellaard R, Veldt AAMVD. Positron emission tomography to assess hypoxia and perfusion in lung cancer. World J Clin Oncol 2014; 5:824-844. [PMID: 25493221 PMCID: PMC4259945 DOI: 10.5306/wjco.v5.i5.824] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 04/29/2014] [Accepted: 07/15/2014] [Indexed: 02/06/2023] Open
Abstract
In lung cancer, tumor hypoxia is a characteristic feature, which is associated with a poor prognosis and resistance to both radiation therapy and chemotherapy. As the development of tumor hypoxia is associated with decreased perfusion, perfusion measurements provide more insight into the relation between hypoxia and perfusion in malignant tumors. Positron emission tomography (PET) is a highly sensitive nuclear imaging technique that is suited for non-invasive in vivo monitoring of dynamic processes including hypoxia and its associated parameter perfusion. The PET technique enables quantitative assessment of hypoxia and perfusion in tumors. To this end, consecutive PET scans can be performed in one scan session. Using different hypoxia tracers, PET imaging may provide insight into the prognostic significance of hypoxia and perfusion in lung cancer. In addition, PET studies may play an important role in various stages of personalized medicine, as these may help to select patients for specific treatments including radiation therapy, hypoxia modifying therapies, and antiangiogenic strategies. In addition, specific PET tracers can be applied for monitoring therapy. The present review provides an overview of the clinical applications of PET to measure hypoxia and perfusion in lung cancer. Available PET tracers and their characteristics as well as the applications of combined hypoxia and perfusion PET imaging are discussed.
Collapse
|
42
|
Improving chemoradiation efficacy by PI3-K/AKT inhibition. Cancer Treat Rev 2014; 40:1182-91. [DOI: 10.1016/j.ctrv.2014.09.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 09/23/2014] [Accepted: 09/25/2014] [Indexed: 12/28/2022]
|
43
|
Hypoxia in head and neck cancer in theory and practice: a PET-based imaging approach. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2014; 2014:624642. [PMID: 25214887 PMCID: PMC4158154 DOI: 10.1155/2014/624642] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 08/06/2014] [Indexed: 11/24/2022]
Abstract
Hypoxia plays an important role in tumour recurrence among head and neck cancer patients. The identification and quantification of hypoxic regions are therefore an essential aspect of disease management. Several predictive assays for tumour oxygenation status have been developed in the past with varying degrees of success. To date, functional imaging techniques employing positron emission tomography (PET) have been shown to be an important tool for both pretreatment assessment and tumour response evaluation during therapy. Hypoxia-specific PET markers have been implemented in several clinics to quantify hypoxic tumour subvolumes for dose painting and personalized treatment planning and delivery. Several new radiotracers are under investigation. PET-derived functional parameters and tracer pharmacokinetics serve as valuable input data for computational models aiming at simulating or interpreting PET acquired data, for the purposes of input into treatment planning or radio/chemotherapy response prediction programs. The present paper aims to cover the current status of hypoxia imaging in head and neck cancer together with the justification for the need and the role of computer models based on PET parameters in understanding patient-specific tumour behaviour.
Collapse
|
44
|
Peitzsch C, Perrin R, Hill RP, Dubrovska A, Kurth I. Hypoxia as a biomarker for radioresistant cancer stem cells. Int J Radiat Biol 2014; 90:636-52. [DOI: 10.3109/09553002.2014.916841] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
45
|
Hammond EM, Asselin MC, Forster D, O'Connor JPB, Senra JM, Williams KJ. The meaning, measurement and modification of hypoxia in the laboratory and the clinic. Clin Oncol (R Coll Radiol) 2014; 26:277-88. [PMID: 24602562 DOI: 10.1016/j.clon.2014.02.002] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 01/23/2014] [Accepted: 02/04/2014] [Indexed: 01/12/2023]
Abstract
Hypoxia was identified as a microenvironmental component of solid tumours over 60 years ago and was immediately recognised as a potential barrier to therapy through the reliance of radiotherapy on oxygen to elicit maximal cytotoxicity. Over the last two decades both clinical and experimental studies have markedly enhanced our understanding of how hypoxia influences cellular behaviour and therapy response. Furthermore, they have confirmed early assumptions that low oxygenation status in tumours is an exploitable target in cancer therapy. Generally such approaches will be more beneficial to patients with hypoxic tumours, necessitating the use of biomarkers that reflect oxygenation status. Tissue biomarkers have shown utility in many studies. Further significant advances have been made in the non-invasive measurement of tumour hypoxia with positron emission tomography, magnetic resonance imaging and other imaging modalities. Here, we describe the complexities of defining and measuring tumour hypoxia and highlight the therapeutic approaches to combat it.
Collapse
Affiliation(s)
- E M Hammond
- The Gray Institute for Radiation Oncology and Biology, Department of Oncology, University of Oxford, Oxford, UK
| | - M-C Asselin
- Wolfson Molecular Imaging Centre, Manchester, UK
| | - D Forster
- Wolfson Molecular Imaging Centre, Manchester, UK
| | - J P B O'Connor
- Centre for Imaging Sciences, Institute of Population Health, Manchester, UK
| | - J M Senra
- The Gray Institute for Radiation Oncology and Biology, Department of Oncology, University of Oxford, Oxford, UK
| | - K J Williams
- Manchester Pharmacy School, Cambridge-Manchester Cancer Research UK Comprehensive Imaging Centre, Manchester Academic Health Sciences Centre, The University Manchester, Manchester, UK.
| |
Collapse
|
46
|
PET/CT for Head and Neck Squamous Cell Cancer—Uses and Updates for Radiologists. CURRENT RADIOLOGY REPORTS 2014. [DOI: 10.1007/s40134-014-0047-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
47
|
Schütze C, Bergmann R, Brüchner K, Mosch B, Yaromina A, Zips D, Hessel F, Krause M, Thames H, Kotzerke J, Steinbach J, Baumann M, Beuthien-Baumann B. Effect of [18F]FMISO stratified dose-escalation on local control in FaDu hSCC in nude mice. Radiother Oncol 2014; 111:81-7. [DOI: 10.1016/j.radonc.2014.02.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Revised: 01/07/2014] [Accepted: 02/11/2014] [Indexed: 10/25/2022]
|
48
|
Kelada OJ, Carlson DJ. Molecular imaging of tumor hypoxia with positron emission tomography. Radiat Res 2014; 181:335-49. [PMID: 24673257 DOI: 10.1667/rr13590.1] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The problem of tumor hypoxia has been recognized and studied by the oncology community for over 60 years. From radiation and chemotherapy resistance to the increased risk of metastasis, low oxygen concentrations in tumors have caused patients with many types of tumors to respond poorly to conventional cancer therapies. It is clear that patients with high levels of tumor hypoxia have a poorer overall treatment response and that the magnitude of hypoxia is an important prognostic factor. As a result, the development of methods to measure tumor hypoxia using invasive and noninvasive techniques has become desirable to the clinical oncology community. A variety of imaging modalities have been established to visualize hypoxia in vivo. Positron emission tomography (PET) imaging, in particular, has played a key role for imaging tumor hypoxia because of the development of hypoxia-specific radiolabelled agents. Consequently, this technique is increasingly used in the clinic for a wide variety of cancer types. Following a broad overview of the complexity of tumor hypoxia and measurement techniques to date, this article will focus specifically on the accuracy and reproducibility of PET imaging to quantify tumor hypoxia. Despite numerous advances in the field of PET imaging for hypoxia, we continue to search for the ideal hypoxia tracer to both qualitatively and quantitatively define the tumor hypoxic volume in a clinical setting to optimize treatments and predict response in cancer patients.
Collapse
Affiliation(s)
- Olivia J Kelada
- a Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut; and
| | | |
Collapse
|
49
|
Merchant S, Witney TH, Aboagye EO. Imaging as a pharmacodynamic and response biomarker in cancer. Clin Transl Imaging 2014. [DOI: 10.1007/s40336-014-0049-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
50
|
Hoeben BAW, Bussink J, Troost EGC, Oyen WJG, Kaanders JHAM. Molecular PET imaging for biology-guided adaptive radiotherapy of head and neck cancer. Acta Oncol 2013; 52:1257-71. [PMID: 24003853 DOI: 10.3109/0284186x.2013.812799] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Integration of molecular imaging PET techniques into therapy selection strategies and radiation treatment planning for head and neck squamous cell carcinoma (HNSCC) can serve several purposes. First, pre-treatment assessments can steer decisions about radiotherapy modifications or combinations with other modalities. Second, biology-based objective functions can be introduced to the radiation treatment planning process by co-registration of molecular imaging with planning computed tomography (CT) scans. Thus, customized heterogeneous dose distributions can be generated with escalated doses to tumor areas where radiotherapy resistance mechanisms are most prevalent. Third, monitoring of temporal and spatial variations in these radiotherapy resistance mechanisms early during the course of treatment can discriminate responders from non-responders. With such information available shortly after the start of treatment, modifications can be implemented or the radiation treatment plan can be adapted tailing the biological response pattern. Currently, these strategies are in various phases of clinical testing, mostly in single-center studies. Further validation in multicenter set-up is needed. Ultimately, this should result in availability for routine clinical practice requiring stable production and accessibility of tracers, reproducibility and standardization of imaging and analysis methods, as well as general availability of knowledge and expertise. Small studies employing adaptive radiotherapy based on functional dynamics and early response mechanisms demonstrate promising results. In this context, we focus this review on the widely used PET tracer (18)F-FDG and PET tracers depicting hypoxia and proliferation; two well-known radiation resistance mechanisms.
Collapse
Affiliation(s)
- Bianca A W Hoeben
- Department of Radiation Oncology, Radboud University Nijmegen Medical Centre , Nijmegen , The Netherlands
| | | | | | | | | |
Collapse
|