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Li T, Murley GA, Liang X, Chin RL, de la Cerda J, Schuler FW, Pagel MD. Evaluations of an Early Change in Tumor Pathophysiology in Response to Radiotherapy with Oxygen Enhanced Electron Paramagnetic Resonance Imaging (OE EPRI). Mol Imaging Biol 2024; 26:448-458. [PMID: 38869818 DOI: 10.1007/s11307-024-01925-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 05/15/2024] [Accepted: 05/26/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE Electron Paramagnetic Resonance Imaging (EPRI) can image the partial pressure of oxygen (pO2) within in vivo tumor models. We sought to develop Oxygen Enhanced (OE) EPRI that measures tumor pO2 with breathing gases of 21% O2 (pO221%) and 100% O2 (pO2100%), and the differences in pO2 between breathing gases (ΔpO2). We applied OE EPRI to study the early change in tumor pathophysiology in response to radiotherapy in two tumor models of pancreatic cancer. PROCEDURES We developed a protocol that intraperitoneally administered OX071, a trityl radical contrast agent, and then acquired anatomical MR images to localize the tumor. Subsequently, we acquired two pO221% and two pO2100% maps using the T1 relaxation time of OX071 measured with EPRI and a R1-pO2 calibration of OX071. We studied 4T1 flank tumor model to evaluate the repeatability of OE EPRI. We then applied OE EPRI to study COLO 357 and Su.86.86 flank tumor models treated with 10 Gy radiotherapy. RESULTS The repeatability of mean pO2 for individual tumors was ± 2.6 Torr between successive scans when breathing 21% O2 or 100% O2, representing a precision of 9.6%. Tumor pO221% and pO2100% decreased after radiotherapy for both models, although the decreases were not significant or only moderately significant, and the effect sizes were modest. For comparison, ΔpO2 showed a large, highly significant decrease after radiotherapy, and the effect size was large. MANOVA and analyses of the HF10 hypoxia fraction provided similar results. CONCLUSIONS EPRI can evaluate tumor pO2 with outstanding precision relative to other imaging modalities. The change in ΔpO2 before vs. after treatment was the best parameter for measuring the early change in tumor pathophysiology in response to radiotherapy. Our studies have established ΔpO2 from OE EPRI as a new parameter, and have established that OE EPRI is a valuable new methodology for molecular imaging.
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Affiliation(s)
- Tianzhe Li
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
- Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, 68105, USA
| | - Grace A Murley
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
| | - Xiaofei Liang
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Renee L Chin
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas Health Science Center, Houston, TX, 77030, USA
| | - Jorge de la Cerda
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - F William Schuler
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Mark D Pagel
- Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, 77030, USA.
- Department of Medical Physics, University of Wisconsin, Madison, WI, 53705, USA.
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Salawu A, Hernando-Calvo A, Chen RY, Araujo DV, Oliva M, Liu ZA, Siu LL. Impact of pharmacodynamic biomarkers in immuno-oncology phase 1 clinical trials. Eur J Cancer 2022; 173:167-177. [PMID: 35872510 DOI: 10.1016/j.ejca.2022.06.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Phase 1 immuno-oncology (IO) trials frequently involve pharmacodynamic (PD) biomarker assessments involving tumour biopsies and/or blood collection, with increasing use of molecular imaging. PD biomarkers are set to play a fundamental role in early drug development of immuno-oncology (IO) agents. In the IO era, the impact of PD biomarkers for confirmation of biologic activity and their role in subsequent drug development have not been investigated. METHODS Phase 1 studies published between January 2014 and December 2020 were reviewed. Studies that reported on-treatment PD biomarkers [tissue-derived (tissue-PD), blood-based (blood-PD) and imaging-based (imaging-PD)] were analysed. PD biomarker results and their correlation with clinical activity endpoints were evaluated. Authors' statements on the influence of PD biomarkers on further drug development decisions, and subsequent citations of PD biomarker study results were recorded. RESULTS Among 386 trials, the most frequent IO agent classes evaluated were vaccines (32%) and PD-(L)1 inhibitors (25%). No PD biomarker assessments were reported in 100 trials (26%). Of the remaining 286, blood-PD, tissue-PD, and imaging-PD data were reported in 270 (94%), 94 (33%), and 12 (4%) trials, respectively. Assessments of more than one PD biomarker type were reported in 82 studies (29%). Similar proportions of blood-PD (9%), tissue-PD (7%), and imaging-PD studies (8%) had positive results that correlated with clinical activity. Results of 22 PD biomarker studies (8%) were referenced in subsequent clinical trials. CONCLUSIONS Most phase 1 IO studies performed PD biomarker assessments. Overall, positive PD biomarker results were infrequently correlated with clinical activity or cited in subsequent trials, suggesting a limited impact on subsequent drug development. With emerging health regulatory emphasis on optimal dose selection based on PD activity, more informative and integrative multiplexed assays that capture the complexity of tumour-host immunity interactions are warranted to improve phase 1 IO trial methodology.
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Affiliation(s)
- Abdulazeez Salawu
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Alberto Hernando-Calvo
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | | | - Daniel V Araujo
- Department of Medical Oncology, Hospital de Base, Sao Jose do Rio Preto, SP, Brazil
| | - Marc Oliva
- Department of Medical Oncology, Institut Català D'Oncologia (ICO) L´Hospitalet, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Zhihui A Liu
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Lillian L Siu
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada.
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