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Xu H, Liu Z, Du M, Chen Z. Progression in low-intensity ultrasound-induced tumor radiosensitization. Cancer Med 2024; 13:e7332. [PMID: 38967145 PMCID: PMC11224918 DOI: 10.1002/cam4.7332] [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: 01/25/2024] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Radiotherapy (RT) is a widely utilized tumor treatment approach, while a significant obstacle in this treatment modality is the radioresistance exhibited by tumor cells. To enhance the effectiveness of RT, scientists have explored radiosensitization approaches, including the use of radiosensitizers and physical stimuli. Nevertheless, several approaches have exhibited disappointing results including adverse effects and limited efficacy. A safer and more effective method of radiosensitization involves low-intensity ultrasound (LIUS), which selectively targets tumor tissue and enhances the efficacy of radiation therapy. METHODS This review summarized the tumor radioresistance reasons and explored LIUS potential radiosensitization mechanisms. Moreover, it covered diverse LIUS application strategies in radiosensitization, including the use of LIUS alone, ultrasound-targeted intravascular microbubble destruction, ultrasound-mediated targeted radiosensitizers delivery, and sonodynamic therapy. Lastly, the review presented the limitations and prospects of employing LIUS-RT combined therapy in clinical settings, emphasizing the need to connect research findings with practical applications. RESULTS AND CONCLUSION LIUS employs cost-effective equipment to foster tumor radiosensitization, curtail radiation exposure, and elevate the quality of life for patients. This efficacy is attributed to LIUS's ability to utilize thermal, cavitation, and mechanical effects to overcome tumor cell resistance to RT. Multiple experimental analyses have underscored the effectiveness of LIUS in inducing tumor radiosensitization using diverse strategies. While initial studies have shown promising results, conducting more comprehensive clinical trials is crucial to confirm its safety and effectiveness in real-world situations.
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Affiliation(s)
- Haonan Xu
- Key Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, Hengyang Medical SchoolUniversity of South ChinaChangshaHunan ProvinceChina
- Institute of Medical Imaging, Hengyang Medical School, University of South ChinaHengyangHunan ProvinceChina
| | - Zichao Liu
- Institute of Medical Imaging, Hengyang Medical School, University of South ChinaHengyangHunan ProvinceChina
- The Seventh Affiliated Hospital, Hunan Veterans Administration Hospital, Hengyang Medical SchoolUniversity of South ChinaChangshaHunan ProvinceChina
| | - Meng Du
- Key Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, Hengyang Medical SchoolUniversity of South ChinaChangshaHunan ProvinceChina
- Institute of Medical Imaging, Hengyang Medical School, University of South ChinaHengyangHunan ProvinceChina
| | - Zhiyi Chen
- Key Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, Hengyang Medical SchoolUniversity of South ChinaChangshaHunan ProvinceChina
- Institute of Medical Imaging, Hengyang Medical School, University of South ChinaHengyangHunan ProvinceChina
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Ostrovskaya SS, Krizhanovsky DG, Trushenko OS, Shevchenko IF, Gerasimchuk PG, Konovalova OS. INFLUENCE OF IONIZING RADIATION AND HEAVY METALS ON ORGANISMS WITH THE IMPACT OF MODELING EFFECTS AND RADIATION HORMESIS. BULLETIN OF PROBLEMS BIOLOGY AND MEDICINE 2022. [DOI: 10.29254/2077-4214-2022-4-167-84-91] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- S. S. Ostrovskaya
- Dnipro Medical Institute of Traditional and Non-Traditional Medicine
| | | | - O. S. Trushenko
- Dnipro Medical Institute of Traditional and Non-Traditional Medicine
| | - I. F. Shevchenko
- Dnipro Medical Institute of Traditional and Non-Traditional Medicine
| | - P. G. Gerasimchuk
- Dnipro Medical Institute of Traditional and Non-Traditional Medicine
| | - O. S. Konovalova
- Dnipro Medical Institute of Traditional and Non-Traditional Medicine
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3
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Majewski M, Ostheim P, Gluzman-Poltorak Z, Vainstein V, Basile L, Schüle S, Haimerl M, Stroszczynski C, Port M, Abend M. Gene expression changes in male and female rhesus macaque 60 days after irradiation. PLoS One 2021; 16:e0254344. [PMID: 34288924 PMCID: PMC8294544 DOI: 10.1371/journal.pone.0254344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 06/25/2021] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Transcriptome changes can be expected in survivors after lethal irradiation. We aimed to characterize these in males and females and after different cytokine treatments 60 days after irradiation. MATERIAL AND METHODS Male and female rhesus macaques (n = 142) received a whole-body exposure with 700 cGy, from which 60 animals survived. Peripheral whole blood was drawn pre-exposure and before sacrificing the surviving animals after 60 days. RESULTS We evaluated gene expression in a three-phase study design. Phase I was a whole-genome screening (NGS) for mRNAs using five pre- and post-exposure RNA samples from both sexes (n = 20). Differential gene expression (DGE) was calculated between samples of survivors and pre-exposure samples (reference), separately for males and females. 1,243 up- and down-regulated genes were identified with 30-50% more deregulated genes in females. 37 candidate mRNAs were chosen for qRT-PCR validation in phase II using the remaining samples (n = 117). Altogether 17 genes showed (borderline) significant (t-test) DGE in groups of untreated or treated animals. Nine genes (CD248, EDAR, FAM19A5, GAL3ST4, GCNT4, HBG2/1, LRRN1, NOG, SYT14) remained with significant changes and were detected in at least 50% of samples per group. Panther analysis revealed an overlap between both sexes, related to the WNT signaling pathway, cell adhesion and immunological functions. For phase III, we validated the nine genes with candidate genes (n = 32) from an earlier conducted study on male baboons. Altogether 14 out of 41 genes showed a concordantly DGE across both species in a bilateral comparison. CONCLUSIONS Sixty days after radiation exposure, we identified (1) sex and cytokine treatment independent transcriptional changes, (2) females with almost twice as much deregulated genes appeared more radio-responsive than males, (3) Panther analysis revealed an association with immunological processes and WNT pathway for both sexes.
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Affiliation(s)
- Matthäus Majewski
- Bundeswehr Institute of Radiobiology, Munich, Germany
- Department of Urology, Bundeswehr Hospital Ulm, Ulm, Germany
| | | | - Zoya Gluzman-Poltorak
- Neumedicines Inc, Pasadena, CA, United States of America
- Applied Stem Cell Therapeutics, Milpitas, CA, United States of America
| | - Vladimir Vainstein
- Neumedicines Inc, Pasadena, CA, United States of America
- Hadassah Medical Center, Jerusalem, Israel
| | - Lena Basile
- Neumedicines Inc, Pasadena, CA, United States of America
| | - Simone Schüle
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | - Michael Haimerl
- Department of Radiology, University Hospital Regensburg, Regensburg, Germany
| | | | - Matthias Port
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | - Michael Abend
- Bundeswehr Institute of Radiobiology, Munich, Germany
- * E-mail:
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Coates JTT, Pirovano G, El Naqa I. Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges. J Med Imaging (Bellingham) 2021; 8:031902. [PMID: 33768134 PMCID: PMC7985651 DOI: 10.1117/1.jmi.8.3.031902] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 01/12/2021] [Indexed: 12/14/2022] Open
Abstract
The power of predictive modeling for radiotherapy outcomes has historically been limited by an inability to adequately capture patient-specific variabilities; however, next-generation platforms together with imaging technologies and powerful bioinformatic tools have facilitated strategies and provided optimism. Integrating clinical, biological, imaging, and treatment-specific data for more accurate prediction of tumor control probabilities or risk of radiation-induced side effects are high-dimensional problems whose solutions could have widespread benefits to a diverse patient population-we discuss technical approaches toward this objective. Increasing interest in the above is specifically reflected by the emergence of two nascent fields, which are distinct but complementary: radiogenomics, which broadly seeks to integrate biological risk factors together with treatment and diagnostic information to generate individualized patient risk profiles, and radiomics, which further leverages large-scale imaging correlates and extracted features for the same purpose. We review classical analytical and data-driven approaches for outcomes prediction that serve as antecedents to both radiomic and radiogenomic strategies. Discussion then focuses on uses of conventional and deep machine learning in radiomics. We further consider promising strategies for the harmonization of high-dimensional, heterogeneous multiomics datasets (panomics) and techniques for nonparametric validation of best-fit models. Strategies to overcome common pitfalls that are unique to data-intensive radiomics are also discussed.
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Affiliation(s)
- James T. T. Coates
- Massachusetts General Hospital & Harvard Medical School, Center for Cancer Research, Boston, Massachusetts, United States
| | - Giacomo Pirovano
- Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, New York, United States
| | - Issam El Naqa
- Moffitt Cancer Center and Research Institute, Department of Machine Learning, Tampa, Florida, United States
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5
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Toy HI, Karakülah G, Kontou PI, Alotaibi H, Georgakilas AG, Pavlopoulou A. Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach. Front Cell Dev Biol 2021; 9:620248. [PMID: 33898418 PMCID: PMC8058375 DOI: 10.3389/fcell.2021.620248] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 03/15/2021] [Indexed: 12/13/2022] Open
Abstract
Eradication of cancer cells through exposure to high doses of ionizing radiation (IR) is a widely used therapeutic strategy in the clinical setting. However, in many cases, cancer cells can develop remarkable resistance to radiation. Radioresistance represents a prominent obstacle in the effective treatment of cancer. Therefore, elucidation of the molecular mechanisms and pathways related to radioresistance in cancer cells is of paramount importance. In the present study, an integrative bioinformatics approach was applied to three publicly available RNA sequencing and microarray transcriptome datasets of human cancer cells of different tissue origins treated with ionizing radiation. These data were investigated in order to identify genes with a significantly altered expression between radioresistant and corresponding radiosensitive cancer cells. Through rigorous statistical and biological analyses, 36 genes were identified as potential biomarkers of radioresistance. These genes, which are primarily implicated in DNA damage repair, oxidative stress, cell pro-survival, and apoptotic pathways, could serve as potential diagnostic/prognostic markers cancer cell resistance to radiation treatment, as well as for therapy outcome and cancer patient survival. In addition, our findings could be potentially utilized in the laboratory and clinical setting for enhancing cancer cell susceptibility to radiation therapy protocols.
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Affiliation(s)
- Halil Ibrahim Toy
- Izmir Biomedicine and Genome Center, Izmir, Turkey.,Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
| | - Gökhan Karakülah
- Izmir Biomedicine and Genome Center, Izmir, Turkey.,Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
| | - Panagiota I Kontou
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Hani Alotaibi
- Izmir Biomedicine and Genome Center, Izmir, Turkey.,Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
| | - Alexandros G Georgakilas
- DNA Damage Laboratory, Department of Physics, School of Applied Mathematical and Physical Sciences, Zografou, National Technical University of Athens, Athens, Greece
| | - Athanasia Pavlopoulou
- Izmir Biomedicine and Genome Center, Izmir, Turkey.,Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
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Gavrielatos M, Kyriakidis K, Spandidos DA, Michalopoulos I. Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly. Mol Med Rep 2021; 23:251. [PMID: 33537807 PMCID: PMC7893683 DOI: 10.3892/mmr.2021.11890] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 01/21/2021] [Indexed: 12/30/2022] Open
Abstract
Genome assemblers are computational tools for de novo genome assembly, based on a plenitude of primary sequencing data. The quality of genome assemblies is estimated by their contiguity and the occurrences of misassemblies (duplications, deletions, translocations or inversions). The rapid development of sequencing technologies has enabled the rise of novel de novo genome assembly strategies. The ultimate goal of such strategies is to utilise the features of each sequencing platform in order to address the existing weaknesses of each sequencing type and compose a complete and correct genome map. In the present study, the hybrid strategy, which is based on Illumina short paired‑end reads and Nanopore long reads, was benchmarked using MaSuRCA and Wengan assemblers. Moreover, the long‑read assembly strategy, which is based on Nanopore reads, was benchmarked using Canu or PacBio HiFi reads were benchmarked using Hifiasm and HiCanu. The assemblies were performed on a computational cluster with limited computational resources. Their outputs were evaluated in terms of accuracy and computational performance. PacBio HiFi assembly strategy outperforms the other ones, while Hi‑C scaffolding, which is based on chromatin 3D structure, is required in order to increase continuity, accuracy and completeness when large and complex genomes, such as the human one, are assembled. The use of Hi‑C data is also necessary while using the hybrid assembly strategy. The results revealed that HiFi sequencing enabled the rise of novel algorithms which require less genome coverage than that of the other strategies making the assembly a less computationally demanding task. Taken together, these developments may lead to the democratisation of genome assembly projects which are now approachable by smaller labs with limited technical and financial resources.
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Affiliation(s)
- Marios Gavrielatos
- Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
- Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, 15701 Athens, Greece
| | - Konstantinos Kyriakidis
- School of Pharmacy, Aristotle University of Thessaloniki (AUTh), 54124 Thessaloniki, Greece
- Genomics and Epigenomics Translational Research (GENeTres), Centre for Interdisciplinary Research and Innovation, 57001 Thessaloniki, Greece
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Ioannis Michalopoulos
- Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
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A Meta-Analysis of the Effects of High-LET Ionizing Radiations in Human Gene Expression. Life (Basel) 2021; 11:life11020115. [PMID: 33546472 PMCID: PMC7913660 DOI: 10.3390/life11020115] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/31/2021] [Accepted: 01/31/2021] [Indexed: 12/19/2022] Open
Abstract
The use of high linear energy transfer (LET) ionizing radiation (IR) is progressively being incorporated in radiation therapy due to its precise dose localization and high relative biological effectiveness. At the same time, these benefits of particle radiation become a high risk for astronauts in the case of inevitable cosmic radiation exposure. Nonetheless, DNA Damage Response (DDR) activated via complex DNA damage in healthy tissue, occurring from such types of radiation, may be instrumental in the induction of various chronic and late effects. An approach to elucidating the possible underlying mechanisms is studying alterations in gene expression. To this end, we identified differentially expressed genes (DEGs) in high Z and high energy (HZE) particle-, γ-ray- and X-ray-exposed healthy human tissues, utilizing microarray data available in public repositories. Differential gene expression analysis (DGEA) was conducted using the R programming language. Consequently, four separate meta-analyses were conducted, after DEG lists were grouped depending on radiation type, radiation dose and time of collection post-irradiation. To highlight the biological background of each meta-analysis group, functional enrichment analysis and biological network construction were conducted. For HZE particle exposure at 8–24 h post-irradiation, the most interesting finding is the variety of DNA repair mechanisms that were downregulated, a fact that is probably correlated with complex DNA damage formation. Simultaneously, after X-ray exposure during the same hours after irradiation, DNA repair mechanisms continue to take place. Finally, in a further comparison of low- and high-LET radiation effects, the most prominent result is that autophagy mechanisms seem to persist and that adaptive immune induction seems to be present. Such bioinformatics approaches may aid in obtaining an overview of the cellular response to high-LET particles. Understanding these response mechanisms can consequently aid in the development of countermeasures for future space missions and ameliorate heavy ion treatments.
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Carante MP, Ballarini F. Radiation Damage in Biomolecules and Cells. Int J Mol Sci 2020; 21:ijms21218188. [PMID: 33139616 PMCID: PMC7662447 DOI: 10.3390/ijms21218188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 10/28/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Mario P. Carante
- INFN (Italian National Institute for Nuclear Physics), Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy;
| | - Francesca Ballarini
- INFN (Italian National Institute for Nuclear Physics), Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy;
- Physics Department, University of Pavia, via Bassi 6, I-27100 Pavia, Italy
- Correspondence:
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Narro-Donate JM, Velasco-Albendea FJ, García-Pérez F, Gomar-Alba M, Castelló-Ruiz MJ, Masegosa-González J. Different radioinducid tumors synchrony in an acute lymphoblastic leukemia survivor. Neurocirugia (Astur) 2020; 32:S1130-1473(20)30101-9. [PMID: 33012645 DOI: 10.1016/j.neucir.2020.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/22/2020] [Accepted: 07/25/2020] [Indexed: 11/21/2022]
Abstract
The cranial radiation-induced tumors appearance in pediatric patients treated for hematological diseases such as leukemia/T-lymphoblastic lymphoma (T-ALL/LBL) is a known phenomenon that may include lesions of different malignant degrees and require neurosurgical treatment. We present the case of a 38-year-old man referred to our department for a sudden diplopia with 6-month progressive left hemiparesis and frequent falls. After imaging tests, different intra and extraxial lesions with different radiological behavior were observed, performing a single surgical approach for their resection. The pathological anatomy confirms four histological variants: meningioma (grade 1 and 2 [atypical]), subependymoma, and cavernoma. We discuss the teratogenic role of ionizing radiation.
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Affiliation(s)
| | | | | | - Mario Gomar-Alba
- Departamento de Neurocirugía, Complejo Hospitalario Torrecárdenas, Almería, España
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