1
|
Reversal of Radiotherapy Resistance of Ovarian Cancer Cell Strain CAOV3/R by Targeting lncRNA CRNDE. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:8556965. [PMID: 34540189 PMCID: PMC8443391 DOI: 10.1155/2021/8556965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/08/2021] [Accepted: 08/20/2021] [Indexed: 01/09/2023]
Abstract
Radiotherapy resistance is one of the key factors of poor prognosis of ovarian cancer clinical treatment. The search for key targets of ovarian cancer radiotherapy resistance has become a high priority. Long noncoding RNA plays an important role in tumor development. However, the key lncRNA in ovarian cancer radiotherapy resistance is not identified. Our finding that lncRNA CRNDE is highly expressed in the radiotherapy resistance cell line CAOV3/R drew our attention. Therefore, in this study, we targeted lncRNA CRNDE to analyze whether it is a key factor of radiotherapy resistance in ovarian cancer. Ultimately, we found that silencing lncRNA CRNDE could reverse CAOV3/R radiotherapy resistance, which would be a boon to clinical treatment.
Collapse
|
2
|
Kim T, Gu B, Maraghechi B, Green O, Lewis B, Mutic S, Gach HM. Characterizing MR Imaging isocenter variation in MRgRT. Biomed Phys Eng Express 2020; 6:035009. [PMID: 33438654 DOI: 10.1088/2057-1976/ab7bc6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We characterized MRI isocenter variation at various gantry positions in two 0.35 T MRgRT systems using two independent methods. First, image center-based quantification was employed on 3D volumetric and 2D cine images of a 24 cm diameter spherical phantom at various gantry positions in the MRI QA mode. The center of the phantom images was identified to quantify the variation of the imaging center at each gantry position. Second, image registration-based quantification was used in radiotherapy mode. 3D volumetric MRIs of a cylindrical phantom were acquired and corresponding image registration from MRI to planning CT was performed. The shifts of the couch were identified to quantify the variation of the imaging center. For verification of noticeable MRI isocenter variation, star-shot pattern measurements with five beams were delivered on the radio-chromic film inserted into the phantom after the couch was shifted. The center of the star-shot pattern was identified to quantify the variation of the imaging center. The proposed methods for measuring MRI isocenter variation were demonstrated with MR-LINAC and MR-60Co systems. Both of the MRgRT systems had field inhomogeneities <5 ppm over a 24 cm diameter spherical volume (DSV) and spatial integrity distortion: <1 mm within 100 mm radius and <2 mm within 175 mm radius. The MRI isocenter of the MR-LINAC system showed noticeable 3D variation (max magnitude: 1.8 mm) compared to that of MR-60Co system (max magnitude: 0.9 mm) relative to the reference gantry positions. In addition, 2D variations (max magnitude) of the MRI isocenter from sagittal cine images were 0.9 mm for the MR-LINAC system and 0.5 mm for the MR-60Co system. Two proposed methods quantified the MRI isocenter variation for various gantry positions in two 0.35 T MRgRT systems. The results of significant isocenter variation in the MR-LINAC system requires further investigation to determine the cause.
Collapse
Affiliation(s)
- Taeho Kim
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO 63110, United States of America
| | | | | | | | | | | | | |
Collapse
|
3
|
Kim T, Park JC, Gach HM, Chun J, Mutic S. Technical Note: Real‐time 3D MRI in the presence of motion for MRI‐guided radiotherapy: 3D Dynamic keyhole imaging with super‐resolution. Med Phys 2019; 46:4631-4638. [DOI: 10.1002/mp.13748] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/21/2019] [Accepted: 07/22/2019] [Indexed: 12/11/2022] Open
Affiliation(s)
- Taeho Kim
- Department of Radiation Oncology Washington University School of Medicine St Louis MO 63110USA
| | - Justin C. Park
- Department of Radiation Oncology Washington University School of Medicine St Louis MO 63110USA
| | - H. Michael Gach
- Department of Radiation Oncology Washington University School of Medicine St Louis MO 63110USA
- Department of Radiology and Biomedical Engineering Washington University in St. Louis St Louis MO 63110USA
| | - Jaehee Chun
- Department of Radiation Oncology Yonsei University College of Medicine Seoul 03722South Korea
| | - Sasa Mutic
- Department of Radiation Oncology Washington University School of Medicine St Louis MO 63110USA
| |
Collapse
|
4
|
Chen T, Zhang M, Jabbour S, Wang H, Barbee D, Das IJ, Yue N. Principal component analysis-based imaging angle determination for 3D motion monitoring using single-slice on-board imaging. Med Phys 2018; 45:2377-2387. [DOI: 10.1002/mp.12904] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 03/13/2018] [Accepted: 03/22/2018] [Indexed: 01/07/2023] Open
Affiliation(s)
- Ting Chen
- Department of Radiation Oncology; Laura and Isaac Perlmutter Cancer Center New York University Langone Health; New York NY 10016 USA
- Department of Radiation Oncology; Rutgers Cancer Institute of New Jersey; New Brunswick NJ 08901 USA
| | - Miao Zhang
- Department of Radiation Oncology; Rutgers Cancer Institute of New Jersey; New Brunswick NJ 08901 USA
- Department of Medical Physics; Memorial Sloan Kettering Cancer Center; New York NY 10065 USA
| | - Salma Jabbour
- Department of Radiation Oncology; Rutgers Cancer Institute of New Jersey; New Brunswick NJ 08901 USA
| | - Hesheng Wang
- Department of Radiation Oncology; Laura and Isaac Perlmutter Cancer Center New York University Langone Health; New York NY 10016 USA
| | - David Barbee
- Department of Radiation Oncology; Laura and Isaac Perlmutter Cancer Center New York University Langone Health; New York NY 10016 USA
| | - Indra J. Das
- Department of Radiation Oncology; Laura and Isaac Perlmutter Cancer Center New York University Langone Health; New York NY 10016 USA
| | - Ning Yue
- Department of Radiation Oncology; Rutgers Cancer Institute of New Jersey; New Brunswick NJ 08901 USA
| |
Collapse
|
5
|
Garibaldi C, Jereczek-Fossa BA, Marvaso G, Dicuonzo S, Rojas DP, Cattani F, Starzyńska A, Ciardo D, Surgo A, Leonardi MC, Ricotti R. Recent advances in radiation oncology. Ecancermedicalscience 2017; 11:785. [PMID: 29225692 PMCID: PMC5718253 DOI: 10.3332/ecancer.2017.785] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Indexed: 12/18/2022] Open
Abstract
Radiotherapy (RT) is very much a technology-driven treatment modality in the management of cancer. RT techniques have changed significantly over the past few decades, thanks to improvements in engineering and computing. We aim to highlight the recent developments in radiation oncology, focusing on the technological and biological advances. We will present state-of-the-art treatment techniques, employing photon beams, such as intensity-modulated RT, volumetric-modulated arc therapy, stereotactic body RT and adaptive RT, which make possible a highly tailored dose distribution with maximum normal tissue sparing. We will analyse all the steps involved in the treatment: imaging, delineation of the tumour and organs at risk, treatment planning and finally image-guidance for accurate tumour localisation before and during treatment delivery. Particular attention will be given to the crucial role that imaging plays throughout the entire process. In the case of adaptive RT, the precise identification of target volumes as well as the monitoring of tumour response/modification during the course of treatment is mainly based on multimodality imaging that integrates morphological, functional and metabolic information. Moreover, real-time imaging of the tumour is essential in breathing adaptive techniques to compensate for tumour motion due to respiration. Brief reference will be made to the recent spread of particle beam therapy, in particular to the use of protons, but also to the yet limited experience of using heavy particles such as carbon ions. Finally, we will analyse the latest biological advances in tumour targeting. Indeed, the effectiveness of RT has been improved not only by technological developments but also through the integration of radiobiological knowledge to produce more efficient and personalised treatment strategies.
Collapse
Affiliation(s)
- Cristina Garibaldi
- Unit of Medical Physics, European Institute of Oncology, 20141 Milan, Italy
| | - Barbara Alicja Jereczek-Fossa
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Giulia Marvaso
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
| | - Samantha Dicuonzo
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Damaris Patricia Rojas
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Federica Cattani
- Unit of Medical Physics, European Institute of Oncology, 20141 Milan, Italy
| | - Anna Starzyńska
- Department of Oral Surgery, Medical University of Gdańsk, 80–211 Gdańsk, Poland
| | - Delia Ciardo
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
| | - Alessia Surgo
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
| | | | - Rosalinda Ricotti
- Department of Radiation Oncology, European Institute of Oncology, 20141 Milan, Italy
| |
Collapse
|