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Medipally DKR, Nguyen TNQ, Bryant J, Untereiner V, Sockalingum GD, Cullen D, Noone E, Bradshaw S, Finn M, Dunne M, Shannon AM, Armstrong J, Lyng FM, Meade AD. Monitoring Radiotherapeutic Response in Prostate Cancer Patients Using High Throughput FTIR Spectroscopy of Liquid Biopsies. Cancers (Basel) 2019; 11:E925. [PMID: 31269684 PMCID: PMC6679106 DOI: 10.3390/cancers11070925] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/26/2019] [Accepted: 06/28/2019] [Indexed: 02/08/2023] Open
Abstract
Radiation therapy (RT) is used to treat approximately 50% of all cancer patients. However, RT causes a wide range of adverse late effects that can affect a patient's quality of life. There are currently no predictive assays in clinical use to identify patients at risk of normal tissue radiation toxicity. This study aimed to investigate the potential of Fourier transform infrared (FTIR) spectroscopy for monitoring radiotherapeutic response. Blood plasma was acquired from 53 prostate cancer patients at five different time points: prior to treatment, after hormone treatment, at the end of radiotherapy, two months post radiotherapy and eight months post radiotherapy. FTIR spectra were recorded from plasma samples at all time points and the data was analysed using MATLAB software. Discrimination was observed between spectra recorded at baseline versus follow up time points, as well as between spectra from patients showing minimal and severe acute and late toxicity using principal component analysis. A partial least squares discriminant analysis model achieved sensitivity and specificity rates ranging from 80% to 99%. This technology may have potential to monitor radiotherapeutic response in prostate cancer patients using non-invasive blood plasma samples and could lead to individualised patient radiotherapy.
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Affiliation(s)
- Dinesh K R Medipally
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Thi Nguyet Que Nguyen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Jane Bryant
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Valérie Untereiner
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, 51097 Reims, France
- Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne, 51097 Reims, France
| | - Ganesh D Sockalingum
- BioSpecT EA 7506, Université de Reims Champagne-Ardenne, UFR Pharmacie, 51097 Reims, France
| | - Daniel Cullen
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland
| | - Emma Noone
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Shirley Bradshaw
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Marie Finn
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Mary Dunne
- Clinical Trials Unit, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | | | - John Armstrong
- Cancer Trials Ireland, D11 KXN4 Dublin, Ireland
- Department of Radiation Oncology, St Luke's Radiation Oncology Network, St Luke's Hospital, D06 HH36 Dublin, Ireland
| | - Fiona M Lyng
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland.
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland.
| | - Aidan D Meade
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland.
- School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland.
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Strategies for imaging androgen receptor signaling pathway in prostate cancer: implications for hormonal manipulation and radiation treatment. BIOMED RESEARCH INTERNATIONAL 2013; 2013:460546. [PMID: 24286079 PMCID: PMC3830798 DOI: 10.1155/2013/460546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 09/16/2013] [Indexed: 12/22/2022]
Abstract
Prostate cancer (Pca) is a heterogeneous disease; its etiology appears to be related to genetic and epigenetic factors. Radiotherapy and hormone manipulation are effective treatments, but many tumors will progress despite these treatments. Molecular imaging provides novel opportunities for image-guided optimization and management of these treatment modalities. Here we reviewed the advances in targeted imaging of key biomarkers of androgen receptor signaling pathways. A computerized search was performed to identify all relevant studies in Medline up to 2013. There are well-known limitations and inaccuracies of current imaging approaches for monitoring biological changes governing tumor progression. The close integration of molecular biology and clinical imaging could ease the development of new molecular imaging agents providing novel tools to monitor a number of biological events that, until a few years ago, were studied by conventional molecular assays. Advances in translational research may represent the next step in improving the oncological outcome of men with Pca who remain at high risk for systemic failure. This aim may be obtained by combining the anatomical properties of conventional imaging modalities with biological information to better predict tumor response to conventional treatments.
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Molecularly targeted agents as radiosensitizers in cancer therapy--focus on prostate cancer. Int J Mol Sci 2013; 14:14800-32. [PMID: 23863691 PMCID: PMC3742274 DOI: 10.3390/ijms140714800] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Revised: 06/27/2013] [Accepted: 06/27/2013] [Indexed: 12/12/2022] Open
Abstract
As our understanding of the molecular pathways driving tumorigenesis improves and more druggable targets are identified, we have witnessed a concomitant increase in the development and production of novel molecularly targeted agents. Radiotherapy is commonly used in the treatment of various malignancies with a prominent role in the care of prostate cancer patients, and efforts to improve the therapeutic ratio of radiation by technologic and pharmacologic means have led to important advances in cancer care. One promising approach is to combine molecularly targeted systemic agents with radiotherapy to improve tumor response rates and likelihood of durable control. This review first explores the limitations of preclinical studies as well as barriers to successful implementation of clinical trials with radiosensitizers. Special considerations related to and recommendations for the design of preclinical studies and clinical trials involving molecularly targeted agents combined with radiotherapy are provided. We then apply these concepts by reviewing a representative set of targeted therapies that show promise as radiosensitizers in the treatment of prostate cancer.
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A comparison of virtual touch tissue quantification and digital rectal examination for discrimination between prostate cancer and benign prostatic hyperplasia. Radiol Oncol 2011; 46:69-74. [PMID: 22933982 PMCID: PMC3423759 DOI: 10.2478/v10019-011-0026-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Accepted: 06/13/2011] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Virtual touch tissue quantification (VTTQ) is a new, promising technique for detecting the stiffness of tissues. The aim of this study is to compare the performance of VTTQ and digital rectal examination (DRE) in discrimination between prostate cancer and benign prostatic hyperplasia (BPH). PATIENTS AND METHODS VTTQ was performed in 209 prostate nodular lesions of 107 patients with BPH and suspected prostate cancer before the prostate histopathologic examination. The shear wave velocity (SWV) at each nodular lesion was quantified by implementing an acoustic radiation force impulse (ARFI). The performance of VTTQ and DRE in discrimination between prostate cancer and BPH was compared. The diagnostic value of VTTQ and DRE for prostate cancer was evaluated in terms of the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. RESULTS Prostate cancer was detected in 57 prostate nodular lesions by histopathologic examination. The SWV values (m/s) were significantly greater in prostate cancer and BPH than in normal prostate (2.37 ± 0.94, 1.98 ± 0.82 vs. 1.34 ± 0.47). The area under the receiver operating characteristic curve (AUC) for VTTQ (SWV>2.5m/s) to differentiate prostate nodules as benign hyperplasia or malignancy was 0.86, while it was 0.67 for DRE. The diagnostic sensitivity, specificity, PPV, NPV and accuracy were 71.93 %, 87.5 %, 68.33 %, 89.26 %, 83.25 %, respectively for VTTQ (SWV>2.5m/s), whereas they were 33.33 %, 81.57 %, 40.43 %, 76.54 %, 68.42 % respectively for DRE. CONCLUSIONS VTTQ can effectively detect the stiffness of prostate nodular lesions, which has a significantly higher performance than DRE in discrimination between prostate cancer and BPH.
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