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Xue Y, Wu Q, Pu D, Xu F, Li Y. Radiation‑induced pure red cell aplasia combined with acquired amegakaryocytic thrombocytopenia in a thymoma after rapid response to radiotherapy: A case report and literature review. Exp Ther Med 2023; 25:237. [PMID: 37114181 PMCID: PMC10126795 DOI: 10.3892/etm.2023.11936] [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: 07/21/2022] [Accepted: 02/16/2023] [Indexed: 04/29/2023] Open
Abstract
Thymoma combined with pure red cell aplasia (PRCA) and acquired amegakaryocytic thrombocytopenia (AAMT) has been rarely reported, often occurring in the initial stage of treatment and after chemotherapy or thymectomy, while PRCA and AAMT occurring after radiotherapy for thymoma has not been reported. The present study describes the case of a 42-year-old female patient with thymoma complicated by radiation-induced PRCA and AAMT after a rapid response to radiotherapy, who was in complete remission without recurrence after adjustment of initial symptomatic therapy to cyclosporine combined with prednisone. After 1 month, the patient underwent complete resection of mediastinal tumor. Next-generation sequencing revealed that the DNA damage repair pathway-related gene MSH3 was mutated, with p.A57P in abundance of 9.21%. To the best of our knowledge, the present study is the first to report that PRCA and AAMT secondary to thymoma after radiotherapy may be associated with increased sensitivity to radiotherapy caused by a mutation in the MSH3 gene.
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Affiliation(s)
- Yinyin Xue
- Lung Cancer Center and Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Qiang Wu
- Lung Cancer Center and Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Dan Pu
- Lung Cancer Center and Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Feng Xu
- Lung Cancer Center and Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Yan Li
- Lung Cancer Center and Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
- Correspondence to: Professor Yan Li, Lung Cancer Center and Institute, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou, Chengdu, Sichuan 610041, P.R. China
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The Normal, the Radiosensitive, and the Ataxic in the Era of Precision Radiotherapy: A Narrative Review. Cancers (Basel) 2022; 14:cancers14246252. [PMID: 36551737 PMCID: PMC9776433 DOI: 10.3390/cancers14246252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/06/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022] Open
Abstract
(1) Background: radiotherapy is a cornerstone of cancer treatment. When delivering a tumoricidal dose, the risk of severe late toxicities is usually kept below 5% using dose-volume constraints. However, individual radiation sensitivity (iRS) is responsible (with other technical factors) for unexpected toxicities after exposure to a dose that induces no toxicity in the general population. Diagnosing iRS before radiotherapy could avoid unnecessary toxicities in patients with a grossly normal phenotype. Thus, we reviewed iRS diagnostic data and their impact on decision-making processes and the RT workflow; (2) Methods: following a description of radiation toxicities, we conducted a critical review of the current state of the knowledge on individual determinants of cellular/tissue radiation; (3) Results: tremendous advances in technology now allow minimally-invasive genomic, epigenetic and functional testing and a better understanding of iRS. Ongoing large translational studies implement various tests and enriched NTCP models designed to improve the prediction of toxicities. iRS testing could better support informed radiotherapy decisions for individuals with a normal phenotype who experience unusual toxicities. Ethics of medical decisions with an accurate prediction of personalized radiotherapy's risk/benefits and its health economics impact are at stake; (4) Conclusions: iRS testing represents a critical unmet need to design personalized radiotherapy protocols relying on extended NTCP models integrating iRS.
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Mališić E, Petrović N, Brengues M, Azria D, Matić IZ, Srbljak Ćuk I, Kopčalić K, Stanojković T, Nikitović M. Association of polymorphisms in TGFB1, XRCC1, XRCC3 genes and CD8 T-lymphocyte apoptosis with adverse effect of radiotherapy for prostate cancer. Sci Rep 2022; 12:21306. [PMID: 36494413 PMCID: PMC9734114 DOI: 10.1038/s41598-022-25328-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
The genetic background of each person might affect the severity of radiotherapy (RT)-induced normal tissue toxicity. The aim of study was to evaluate the influence of TGFB1 C-509T and Leu10Pro, XRCC1 Arg280His and XRCC3 Thr241Met polymorphisms as well as the level of radiation-induced CD8 T-lymphocyte apoptosis (RILA) on adverse effects of RT for prostate cancer (PCa). The study included 88 patients with localized or locally advanced PCa who were treated with RT. The polymorphisms were determined by PCR-RFLP analysis on DNA from peripheral blood mononuclear cells. RILA values were measured by flow cytometry. We found that CT genotype of TGFB1 C-509T could be protective biomarker for acute genitourinary (GU) and gastrointestinal (GI) radiotoxicity, while Thr variant of XRCC3 Thr241Met could predict the risk for acute GU radiotoxicity. Correlation between RILA values and toxicity was not detected. Univariate logistic regression analysis showed that Gleason score and risk group were risk factors for late GU, while for late GI radiotoxicity it was diabetes mellitus type 2. However, in multivariate model those were not proven to be significant and independent risk factors. Identification of assays combination predicting individual radiosensitivity is a crucial step towards personalized RT approach.
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Affiliation(s)
- Emina Mališić
- grid.418584.40000 0004 0367 1010Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia
| | - Nina Petrović
- grid.418584.40000 0004 0367 1010Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia ,grid.7149.b0000 0001 2166 9385“VINČA“ Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Muriel Brengues
- grid.121334.60000 0001 2097 0141IRCM, INSERM, University Montpellier, ICM, Montpellier, France
| | - David Azria
- grid.121334.60000 0001 2097 0141IRCM, INSERM, University Montpellier, ICM, Montpellier, France
| | - Ivana Z. Matić
- grid.418584.40000 0004 0367 1010Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia
| | - Ivana Srbljak Ćuk
- grid.418584.40000 0004 0367 1010Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia
| | - Katarina Kopčalić
- grid.418584.40000 0004 0367 1010Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia
| | - Tatjana Stanojković
- grid.418584.40000 0004 0367 1010Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia
| | - Marina Nikitović
- grid.418584.40000 0004 0367 1010Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia ,grid.7149.b0000 0001 2166 9385Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Goričar K, Dugar F, Dolžan V, Marinko T. NBN, RAD51 and XRCC3 Polymorphisms as Potential Predictive Biomarkers of Adjuvant Radiotherapy Toxicity in Early HER2-Positive Breast Cancer. Cancers (Basel) 2022; 14:cancers14184365. [PMID: 36139526 PMCID: PMC9496855 DOI: 10.3390/cancers14184365] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/03/2022] [Accepted: 09/04/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary Adjuvant radiotherapy for breast cancer patients significantly improves survival and causes side effects. It is known that the response to radiotherapy is individual, but we are not yet able to predict patients with high risk for acute or late radiotherapy adverse events. This study aimed to investigate the association between homologous recombination repair (HRR) polymorphisms and radiotherapy toxicity and thus contribute to the knowledge on potential predictive biomarkers of radiotherapy toxicity in early HER2-positive breast cancer. This study was among the first to evaluate the role of HRR genetic variability with cardiac toxicity. RAD51 polymorphisms were associated with cardiac adverse events, while XRCC3 polymorphisms were associated with skin adverse events. Our results suggest that polymorphisms in key HRR genes might be used as potential biomarkers of late treatment-related adverse events in early HER2-positive breast cancer treated with radiotherapy. Abstract Radiotherapy (RT) for breast cancer significantly impacts patient survival and causes adverse events. Double-strand breaks are the most harmful type of DNA damage associated with RT, which is repaired through homologous recombination (HRR). As genetic variability of DNA repair genes could affect response to RT, we aimed to evaluate the association of polymorphisms in HRR genes with tumor characteristics and the occurrence of RT adverse events in early HER2-positive breast cancer. Our study included 101 breast cancer patients treated with adjuvant RT and trastuzumab. All patients were genotyped for eight single nucleotide polymorphisms in NBN, RAD51 and XRCC3 using competitive allele-specific PCR. Carriers of XRCC3 rs1799794 GG genotype were less likely to have higher tumor differentiation grade (OR = 0.05, 95% CI = 0.01–0.44, p = 0.007). Carriers of RAD51 rs1801321 TT genotype were more likely to have higher NYHA class in univariable (OR = 10.0; 95% CI = 1.63–61.33; p = 0.013) and multivariable (OR = 9.27; 95% CI = 1.28–67.02; p = 0.027) analysis. Carriers of RAD51 rs12593359 GG genotype were less likely to have higher NYHA class in univariable (OR = 0.09; 95% CI = 0.01–0.79; p = 0.030) and multivariable (OR = 0.07; 95% CI = 0.01–0.81; p = 0.034) analysis. Carriers of XRCC3 rs1799794 GG genotypes experienced more skin adverse events based on LENT-SOMA scale in univariable (OR = 5.83; 95% CI = 1.22–28.00; p = 0.028) and multivariable (OR = 10.90; 95% CI = 1.61–73.72; p = 0.014) analysis. In conclusion, XRCC3 and RAD51 polymorphisms might contribute to RT adverse events in early HER2-positive breast cancer patients.
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Affiliation(s)
- Katja Goričar
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Franja Dugar
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Tanja Marinko
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
- Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia
- Correspondence:
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Cargnin S, Barizzone N, Basagni C, Pisani C, Ferrara E, Masini L, D’Alfonso S, Krengli M, Terrazzino S. Targeted Next-Generation Sequencing for the Identification of Genetic Predictors of Radiation-Induced Late Skin Toxicity in Breast Cancer Patients: A Preliminary Study. J Pers Med 2021; 11:jpm11100967. [PMID: 34683108 PMCID: PMC8540941 DOI: 10.3390/jpm11100967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 01/05/2023] Open
Abstract
Normal tissue radiosensitivity is thought to be influenced by an individual’s genetic background. However, the specific genetic variants underlying the risk of late skin reactions following radiotherapy for breast cancer remain elusive. To unravel the genetic basis for radiation-induced late skin toxicity, we carried out targeted next-generation sequencing of germline DNA samples from 48 breast cancer patients with extreme late skin toxicity phenotypes, consisting of 24 cases with grade 2–3 subcutaneous fibrosis and/or grade 2–3 telangiectasia (LENT-SOMA scales) and 24 controls with grade 0 fibrosis and grade 0 telangiectasia. In this exploratory study, a total of five single-nucleotide variants (SNVs) located in three genes (TP53, ERCC2, and LIG1) reached nominal levels of statistical significance (p < 0.05). In the replication study, which consisted of an additional 45 cases and 192 controls, none of the SNVs identified by targeted NGS achieved nominal replication. Nevertheless, TP53 rs1042522 (G > C, Pro72Arg) in the replication cohort had an effect (OR per C allele: 1.52, 95%CI: 0.82–2.83, p = 0.186) in the same direction as in the exploratory cohort (OR per C allele: 4.70, 95%CI: 1.51–14.6, p = 0.007) and was found be nominally associated to the risk of radiation-induced late skin toxicity in the overall combined cohort (OR per C allele: 1.79, 95%CI: 1.06–3.02, p = 0.028). These results raise the possibility of an association between TP53 rs1042522 and risk of radiation-induced late skin toxicity in breast cancer patients; however, large replication studies are warranted for conclusive evidence.
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Affiliation(s)
- Sarah Cargnin
- Department of Pharmaceutical Sciences, University of Piemonte Orientale, 28100 Novara, Italy;
| | - Nadia Barizzone
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (N.B.); (C.B.); (S.D.)
| | - Chiara Basagni
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (N.B.); (C.B.); (S.D.)
| | - Carla Pisani
- Radiation Oncology, University Hospital Maggiore della Carità, 28100 Novara, Italy; (C.P.); (E.F.); (L.M.); (M.K.)
| | - Eleonora Ferrara
- Radiation Oncology, University Hospital Maggiore della Carità, 28100 Novara, Italy; (C.P.); (E.F.); (L.M.); (M.K.)
| | - Laura Masini
- Radiation Oncology, University Hospital Maggiore della Carità, 28100 Novara, Italy; (C.P.); (E.F.); (L.M.); (M.K.)
| | - Sandra D’Alfonso
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (N.B.); (C.B.); (S.D.)
| | - Marco Krengli
- Radiation Oncology, University Hospital Maggiore della Carità, 28100 Novara, Italy; (C.P.); (E.F.); (L.M.); (M.K.)
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
| | - Salvatore Terrazzino
- Department of Pharmaceutical Sciences, University of Piemonte Orientale, 28100 Novara, Italy;
- Correspondence:
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Gupta A, Mathew D, Bhat SA, Ghoshal S, Pal A. Genetic Variants of DNA Repair Genes as Predictors of Radiation-Induced Subcutaneous Fibrosis in Oropharyngeal Carcinoma. Front Oncol 2021; 11:652049. [PMID: 34079756 PMCID: PMC8165303 DOI: 10.3389/fonc.2021.652049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/28/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose To investigate the impact of genetic variants of DNA repair and pro-fibrotic pathway genes on the severity of radiation-induced subcutaneous fibrosis in patients of oropharyngeal carcinoma treated with radical radiotherapy. Materials and Methods Patients of newly diagnosed squamous cell carcinoma of oropharynx being treated with two-dimensional radical radiotherapy were enrolled in the study. Patients who had undergone surgery or were receiving concurrent chemotherapy were excluded. Patients were followed up at 6 weeks post completion of radiotherapy and every 3 months thereafter for a median of 16 months. Subcutaneous fibrosis was graded according to the Radiation Therapy Oncology Group (RTOG) and the European Organization for Research and Treatment of Cancer (EORTC) grading system and the maximum grade was recorded over the length of the patient’s follow-up. Patients with severe fibrosis (≥G3), were compared to patients with minor (≤G2) fibrotic reactions. Eight single nucleotide polymorphisms of 7 DNA repair genes and 2 polymorphisms of a single pro-fibrotic pathway gene were analyzed by Polymerase Chain Reaction and Restriction Fragment Length Polymorphism and were correlated with the severity of subcutaneous fibrosis. Results 179 patients were included in the analysis. Subcutaneous fibrosis was seen in 168 (93.9%) patients. 36 (20.1%) patients had severe (grade 3) fibrosis. On multivariate logistic regression analysis, Homozygous CC genotype of XRCC3 (722C>T, rs861539) (p=0.013*, OR 2.350, 95% CI 1.089-5.382), Homozygous AA genotype of ERCC4 Ex8 (1244G>A, rs1800067) (p=0.001**, OR 11.626, 95% CI 2.490-275.901) and Homozygous TT genotype of XRCC5 (1401G>T, rs828907) (p=0.020*, OR 2.188, 95% CI 1.652-7.334) were found to be predictive of severe subcutaneous fibrosis. On haplotype analysis, the cumulative risk of developing severe fibrosis was observed in patients carrying both haplotypes of variant Homozygous AA genotype of ERCC4 Ex8 (1244G>A, rs1800067) and Homozygous TT genotype of XRCC5 (1401 G>T, rs828907) (p=0.010*, OR 26.340, 95% CI 4.014-76.568). Conclusion We demonstrated significant associations between single nucleotide polymorphisms of DNA repair genes and radiation-induced subcutaneous fibrosis in patients of oropharyngeal carcinoma treated with radiotherapy. We propose to incorporate these genetic markers into predictive models for identifying patients genetically predisposed to the development of radiation-induced fibrosis, thus guiding personalized treatment protocols.
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Affiliation(s)
- Ankita Gupta
- Department of Radiotherapy, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Don Mathew
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Shabir Ahmad Bhat
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sushmita Ghoshal
- Department of Radiotherapy, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Arnab Pal
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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Cumulative incidence and risk factors for radiation induced leukoencephalopathy in high grade glioma long term survivors. Sci Rep 2021; 11:10176. [PMID: 33986314 PMCID: PMC8119685 DOI: 10.1038/s41598-021-89216-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/16/2021] [Indexed: 01/29/2023] Open
Abstract
The incidence and risk factors associated with radiation-induced leukoencephalopathy (RIL) in long-term survivors of high-grade glioma (HGG) are still poorly investigated. We performed a retrospective research in our institutional database for patients with supratentorial HGG treated with focal radiotherapy, having a progression-free overall survival > 30 months and available germline DNA. We reviewed MRI scans for signs of leukoencephalopathy on T2/FLAIR sequences, and medical records for information on cerebrovascular risk factors and neurological symptoms. We investigated a panel of candidate single nucleotide polymorphisms (SNPs) to assess genetic risk. Eighty-one HGG patients (18 grade IV and 63 grade III, 50M/31F) were included in the study. The median age at the time of radiotherapy was 48 years old (range 18-69). The median follow-up after the completion of radiotherapy was 79 months. A total of 44 patients (44/81, 54.3%) developed RIL during follow-up. Twenty-nine of the 44 patients developed consistent symptoms such as subcortical dementia (n = 28), gait disturbances (n = 12), and urinary incontinence (n = 9). The cumulative incidence of RIL was 21% at 12 months, 42% at 36 months, and 48% at 60 months. Age > 60 years, smoking, and the germline SNP rs2120825 (PPARg locus) were associated with an increased risk of RIL. Our study identified potential risk factors for the development of RIL (age, smoking, and the germline SNP rs2120825) and established the rationale for testing PPARg agonists in the prevention and management of late-delayed radiation-induced neurotoxicity.
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Miura K, Ogura A, Kobatake K, Honda H, Kaminuma O. Progress of genome editing technology and developmental biology useful for radiation research. JOURNAL OF RADIATION RESEARCH 2021; 62:i53-i63. [PMID: 33978171 PMCID: PMC8114227 DOI: 10.1093/jrr/rraa127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 11/26/2020] [Accepted: 11/23/2020] [Indexed: 06/12/2023]
Abstract
Following the development of genome editing technology, it has become more feasible to create genetically modified animals such as knockout (KO), knock-in, and point-mutated animals. The genome-edited animals are useful to investigate the roles of various functional genes in many fields of biological science including radiation research. Nevertheless, some researchers may experience difficulty in generating genome-edited animals, probably due to the requirement for equipment and techniques for embryo manipulation and handling. Furthermore, after obtaining F0 generation, genome-edited animals generally need to be expanded and maintained for analyzing the target gene function. To investigate genes essential for normal birth and growth, the generation of conditional KO (cKO) animals in which a tissue- or stage-specific gene mutation can be introduced is often required. Here, we describe the basic principle and application of genome editing technology including zinc-finger nuclease, transcription-activator-like effector nuclease, and clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR associated protein (Cas) systems. Recently advanced developmental biology methods have enabled application of the technology, especially CRISPR/Cas, to zygotes, leading to the prompt production of genome-edited animals. For pre-implantation embryos, genome editing via oviductal nucleic acid delivery has been developed as an embryo manipulation- or handling-free method. Examining the gene function at F0 generation is becoming possible by employing triple-target CRISPR technology. This technology, in combination with a blastocyst complementation method enables investigation of even birth- and growth-responsible genes without establishing cKO strains. We hope that this review is helpful for understanding and expanding genome editing-related technology and for progressing radiation research.
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Affiliation(s)
- Kento Miura
- Department of Disease Model, Research Institute of Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan
- RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
| | - Atsuo Ogura
- RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
- RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - Kohei Kobatake
- Department of Disease Model, Research Institute of Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan
- Department of Urology, Hiroshima University, Hiroshima 734-8553, Japan
| | - Hiroaki Honda
- Field of Human Disease Models, Major in Advanced Life Sciences and Medicine, Institute of Laboratory Animals, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Osamu Kaminuma
- Department of Disease Model, Research Institute of Radiation Biology and Medicine, Hiroshima University, Hiroshima 734-8553, Japan
- RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
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Kalbasi A, Kamrava M, Chu FI, Telesca D, Van Dams R, Yang Y, Ruan D, Nelson SD, Dry SM, Hernandez J, Chmielowski B, Singh AS, Bukata SV, Bernthal NM, Steinberg ML, Weidhaas JB, Eilber FC. A Phase II Trial of 5-Day Neoadjuvant Radiotherapy for Patients with High-Risk Primary Soft Tissue Sarcoma. Clin Cancer Res 2020; 26:1829-1836. [PMID: 32054730 DOI: 10.1158/1078-0432.ccr-19-3524] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 12/09/2019] [Accepted: 01/24/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE In a single-institution phase II study, we evaluated the safety of a 5-day dose-equivalent neoadjuvant radiotherapy (RT) regimen for high-risk primary soft tissue sarcoma. PATIENTS AND METHODS Patients received neoadjuvant RT alone (30 Gy in five fractions) to the primary tumor with standard margins. The primary endpoint was grade ≥2 late-radiation toxicity. Major wound complications, local recurrences, and distant metastases were also examined. In exploratory analysis, we evaluated germline biomarkers for wound toxicity and the effects of the study on treatment utilization. RESULTS Over 2 years, 52 patients were enrolled with median follow-up of 29 months. Seven of 44 evaluable patients (16%) developed grade ≥2 late toxicity. Major wound complications occurred in 16 of 50 patients (32%); a signature defined by 19 germline SNPs in miRNA-binding sites of immune and DNA damage response genes, in addition to lower extremity tumor location, demonstrated strong predictive performance for major wound complications. Compared with the preceding 2-year period, the number of patients treated with neoadjuvant RT alone at our institution increased 3-fold, with a concomitant increase in the catchment area. CONCLUSIONS A shorter 5-day neoadjuvant RT regimen results in favorable rates of wound complications and grade ≥2 toxicity after 2-year follow-up. Five-day RT significantly increased utilization of neoadjuvant RT at our high-volume sarcoma center. With further validation, a putative germline biomarker for wound complications may guide safer RT utilization.
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Affiliation(s)
- Anusha Kalbasi
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California. .,Division of Surgical-Oncology, Department of Surgery, University of California Los Angeles, Los Angeles, California.,University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California
| | | | - Fang-I Chu
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California
| | - Donatello Telesca
- Department of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, California
| | - Ritchell Van Dams
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California
| | - Yingli Yang
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California
| | - Dan Ruan
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California
| | - Scott D Nelson
- University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Department of Pathology, University of California Los Angeles, Los Angeles, California
| | - Sarah M Dry
- University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Department of Pathology, University of California Los Angeles, Los Angeles, California
| | - Jackie Hernandez
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California
| | - Bartosz Chmielowski
- University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Division of Hematology-Oncology, Department of Medicine, University of California Los Angeles, Los Angeles, California
| | - Arun S Singh
- Division of Surgical-Oncology, Department of Surgery, University of California Los Angeles, Los Angeles, California.,University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Division of Hematology-Oncology, Department of Medicine, University of California Los Angeles, Los Angeles, California
| | - Susan V Bukata
- University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Department of Orthopedic Surgery, University of California Los Angeles, Los Angeles, California
| | - Nicholas M Bernthal
- University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California.,Department of Orthopedic Surgery, University of California Los Angeles, Los Angeles, California
| | - Michael L Steinberg
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California.,University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California
| | - Joanne B Weidhaas
- Department of Radiation Oncology, University of California Los Angeles (UCLA), Los Angeles, California.,University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California
| | - Fritz C Eilber
- Division of Surgical-Oncology, Department of Surgery, University of California Los Angeles, Los Angeles, California. .,University of California Los Angeles Jonsson Comprehensive Cancer Center Sarcoma Program, Los Angeles, California
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Grossberg AJ, Lei X, Xu T, Shaitelman SF, Hoffman KE, Bloom ES, Stauder MC, Tereffe W, Schlembach PJ, Woodward WA, Buchholz TA, Smith BD. Association of Transforming Growth Factor β Polymorphism C-509T With Radiation-Induced Fibrosis Among Patients With Early-Stage Breast Cancer: A Secondary Analysis of a Randomized Clinical Trial. JAMA Oncol 2019; 4:1751-1757. [PMID: 30027292 DOI: 10.1001/jamaoncol.2018.2583] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Importance Whether genetic factors can identify patients at risk for radiation-induced fibrosis remains unconfirmed. Objective To assess the association between the C-509T variant allele in the promoter region of TGFB1 and breast fibrosis 3 years after radiotherapy. Design, Setting, and Participants This is an a priori-specified, prospective, cohort study nested in an open-label, randomized clinical trial, which was conducted in community-based and academic cancer centers to compare hypofractionated whole-breast irradiation (WBI) (42.56 Gy in 16 fractions) with conventionally fractionated WBI (50 Gy in 25 fractions) after breast-conserving surgery. In total, 287 women 40 years or older with pathologically confirmed stage 0 to IIA breast cancer treated with breast-conserving surgery were enrolled from February 2011 to February 2014. Patients were observed for a minimum of 3 years. Outcomes were compared using the 1-sided Fisher exact test and multivariable logistic regression. Exposures A C-to-T single-nucleotide polymorphism at position -509 relative to the first major transcription start site (C-509T) of the TGFB1 gene. Main Outcomes and Measures The primary outcome was grade 2 or higher breast fibrosis as assessed using the Late Effects Normal Tissue/Subjective, Objective, Medical Management, Analytic scale (range, 0 to 3) three years after radiotherapy. Results Among 287 women enrolled in the trial, TGFB1 genotype and 3-year radiotherapy-induced toxicity data were available for 174 patients, of whom 89 patients (51%) with a mean (SD) age of 60 (8) years had at least 1 copy of C-509T. Grade 2 or higher breast fibrosis was present in 12 of 87 patients with C-509T (13.8%) compared with 3 of 80 patients without the allele variant (3.8%) (absolute difference, 10.0%; 95% CI, 1.7%-18.4%; P = .02). The results of multivariable analyses indicated that only C-509T (odds ratio, 4.47; 95% CI, 1.25-15.99; P = .02) and postoperative cosmetic outcome (odds ratio, 7.09; 95% CI, 2.41-20.90; P < .001) were significantly associated with breast fibrosis risk. Conclusions and Relevance To date, this study seems to be the first prospective validation of a genomic marker for radiation fibrosis. The C-509T allele in TGFB1 is a key determinant of breast fibrosis risk. Assessing TGFB1 genotype may facilitate a more personalized approach to locoregional treatment decisions in breast cancer. Trial Registration ClinicalTrials.gov identifier: NCT01266642.
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Affiliation(s)
- Aaron J Grossberg
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.,Department of Radiation Medicine, Oregon Health and Science University, Portland
| | - Xiudong Lei
- Division of Cancer Prevention, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston
| | - Ting Xu
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Simona F Shaitelman
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Karen E Hoffman
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Elizabeth S Bloom
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Michael C Stauder
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Welela Tereffe
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Pamela J Schlembach
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Wendy A Woodward
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Thomas A Buchholz
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Benjamin D Smith
- Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
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Filippi AR, Franco P, Ricardi U. Is Clinical Radiosensitivity a Complex Genetically Controlled Event? TUMORI JOURNAL 2019; 92:87-91. [PMID: 16724685 DOI: 10.1177/030089160609200201] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
New insights into molecular mechanisms responsible for cellular radiation response are coming from recent basic radiobiological studies. Preliminary data supporting the concept of clinical radiosensitivity as a complex genetically controlled event are available, and it seems reasonable to hypothesize that genes encoding for proteins implicated in known radiation-induced pathways, such as DNA repair, could influence normal tissue and tumor response to radiotherapy. Such genes could be considered as candidates for experimental studies and as targets for innovative therapies. Variants that could influence individual radiosensitivity have been recently identified, and specific Single Nucleotide Polymorphisms have been associated to the development of different radiation effects on normal tissues. Allelic architecture of complex traits able to modify phenotypes is difficult to be established, and different grades of interaction between common or rare genetic determinants may be present and should be considered. Many different experimental strategies could be investigated in the future, such as analysis of multiple genes in large irradiated patient cohorts strictly observed for radiation effects or identification of new candidate genes, with the aim of identifying factors that could be employed in predictive testing and individualization of radiation therapy on a genetic basis.
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Affiliation(s)
- Andrea Riccardo Filippi
- Dipartimento di Discipline Medico-Chirurgiche, Sezione di Radioterapia, Università di Torino, Italy.
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12
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Antognoni P, Corvò R, Zerini D, Orecchia R. Altered Fractionation Radiotherapy in Head and Neck Cancer: Clinical Issues and Pitfalls of “Evidence-Based Medicine”. TUMORI JOURNAL 2019; 91:30-9. [PMID: 15850002 DOI: 10.1177/030089160509100107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The authors present a critical appraisal of the biological bases of altered fractionation and a brief overview of published randomized trials with conventional fractionation as the control arm, reviews and meta-analysis on altered fractionation radiotherapy in head and neck cancer. The major controversial issues emerging from these studies are reviewed and the limiting factors which so far have prevented the widespread use of altered fractionation regimens in current clinical practice are analyzed. Future perspectives regarding predictive biological assays for patient selection and the integration of altered fractionation regimens with radiochemotherapy protocols, biomodulators and novel radiotherapy techniques are also reviewed and summarized.
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Affiliation(s)
- Paolo Antognoni
- Servizio di Radioterapia, CdC Santa Maria-Multimedica Hospitals, Castellanza, VA, Italy.
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Zhao J, Zhi Z, Zhang M, Li Q, Li J, Wang X, Ma C. Predictive value of single nucleotide polymorphisms in XRCC1 for radiation-induced normal tissue toxicity. Onco Targets Ther 2018; 11:3901-3918. [PMID: 30013370 PMCID: PMC6039069 DOI: 10.2147/ott.s156175] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Purpose X-Ray Repair Cross Complementing 1 (XRCC1) functioning in the base excision repair pathway plays an important role in the repair of DNA single-strand breaks caused by ionizing radiation. The relationship between XRCC1 polymorphisms and the risk of radiation-induced side effects on normal tissues remains controversial. Therefore, we performed a comprehensive meta-analysis to elucidate these associations. Materials and methods A systematic literature search was carried out in PubMed, Medline (Ovid), Embase, Web of Science, Cochrane database, and the references of relevant studies. The pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the strength of the association. Results A total of 40 studies including 6,682 patients were eventually identified in this meta-analysis. Pooled results suggested that rs25487 Arg399Gln polymorphism significantly increased the risk of acute radiation-induced side effects (OR=1.29, 95% CI: 1.10–1.52, P=0.002), especially acute mucositis (OR=1.91, 95% CI: 1.17–3.11, P=0.01) and acute gastrointestinal and genitourinary toxicity (OR=1.49, 95% CI: 1.04–2.11, P=0.03). Furthermore, patients who received head and neck irradiation with rs25487 Arg399Gln polymorphism were more likely to experience radiotherapy (RT)-induced side effects (OR=1.46, 95% CI: 1.12–1.90, P=0.005). However, no statistically significant correlations were identified between rs25487 polymorphism and any late side effects and other irradiation areas. Likewise, no significant associations were detected between rs25489, rs1799782, or rs3213245 polymorphism and RT-induced toxicity. Conclusion Our meta-analysis demonstrated that XRCC1 rs25487 Arg399Gln polymorphism had a significant predictive value and might predict a risk of severely acute RT-induced adverse effects, especially in acute mucositis and acute gastrointestinal and genitourinary toxicity, or in patients with head and neck irradiation. However, large-scale and well-designed studies are required to further evaluate the predictive value of XRCC1 variations on radiation-induced side effects in order to identify radiosensitive patients and predict radiotoxicity.
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Affiliation(s)
- Jing Zhao
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Zheng Zhi
- Department of Basic Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, China
| | - Ming Zhang
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Qingxia Li
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Jing Li
- Department of Clinical laboratory, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Xiao Wang
- Department of Plastic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Chunling Ma
- Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
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Mbah C, De Ruyck K, De Schrijver S, De Sutter C, Schiettecatte K, Monten C, Paelinck L, De Neve W, Thierens H, West C, Amorim G, Thas O, Veldeman L. A new approach for modeling patient overall radiosensitivity and predicting multiple toxicity endpoints for breast cancer patients. Acta Oncol 2018; 57:604-612. [PMID: 29299946 DOI: 10.1080/0284186x.2017.1417633] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 12/03/2017] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Evaluation of patient characteristics inducing toxicity in breast radiotherapy, using simultaneous modeling of multiple endpoints. METHODS AND MATERIALS In 269 early-stage breast cancer patients treated with whole-breast irradiation (WBI) after breast-conserving surgery, toxicity was scored, based on five dichotomized endpoints. Five logistic regression models were fitted, one for each endpoint and the effect sizes of all variables were estimated using maximum likelihood (MLE). The MLEs are improved with James-Stein estimates (JSEs). The method combines all the MLEs, obtained for the same variable but from different endpoints. Misclassification errors were computed using MLE- and JSE-based prediction models. For associations, p-values from the sum of squares of MLEs were compared with p-values from the Standardized Total Average Toxicity (STAT) Score. RESULTS With JSEs, 19 highest ranked variables were predictive of the five different endpoints. Important variables increasing radiation-induced toxicity were chemotherapy, age, SATB2 rs2881208 SNP and nodal irradiation. Treatment position (prone position) was most protective and ranked eighth. Overall, the misclassification errors were 45% and 34% for the MLE- and JSE-based models, respectively. p-Values from the sum of squares of MLEs and p-values from STAT score led to very similar conclusions, except for the variables nodal irradiation and treatment position, for which STAT p-values suggested an association with radiosensitivity, whereas p-values from the sum of squares indicated no association. Breast volume was ranked as the most significant variable in both strategies. DISCUSSION The James-Stein estimator was used for selecting variables that are predictive for multiple toxicity endpoints. With this estimator, 19 variables were predictive for all toxicities of which four were significantly associated with overall radiosensitivity. JSEs led to almost 25% reduction in the misclassification error rate compared to conventional MLEs. Finally, patient characteristics that are associated with radiosensitivity were identified without explicitly quantifying radiosensitivity.
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Affiliation(s)
- Chamberlain Mbah
- a Department of Radiotherapy and Experimental Cancer Research , Ghent University , Ghent , Belgium
- b Department of Mathematical Modelling, Statistics, and Bioinformatics, Faculty of Bioscience Engineering , University of Ghent , Ghent , Belgium
| | - Kim De Ruyck
- c Department of Basic Medical Sciences, Faculty of Health Sciences , University of Ghent , Ghent , Belgium
| | - Silke De Schrijver
- c Department of Basic Medical Sciences, Faculty of Health Sciences , University of Ghent , Ghent , Belgium
| | - Charlotte De Sutter
- a Department of Radiotherapy and Experimental Cancer Research , Ghent University , Ghent , Belgium
| | - Kimberly Schiettecatte
- a Department of Radiotherapy and Experimental Cancer Research , Ghent University , Ghent , Belgium
| | - Chris Monten
- a Department of Radiotherapy and Experimental Cancer Research , Ghent University , Ghent , Belgium
- d Department of Radiation Oncology , Ghent University Hospital , Ghent , Belgium
| | - Leen Paelinck
- d Department of Radiation Oncology , Ghent University Hospital , Ghent , Belgium
| | - Wilfried De Neve
- a Department of Radiotherapy and Experimental Cancer Research , Ghent University , Ghent , Belgium
- d Department of Radiation Oncology , Ghent University Hospital , Ghent , Belgium
| | - Hubert Thierens
- c Department of Basic Medical Sciences, Faculty of Health Sciences , University of Ghent , Ghent , Belgium
| | - Catharine West
- e Translational Radiobiology Group , Institute of Cancer Sciences Radiotherapy Related Research Christie Hospital NHS Trust , Manchester , UK
| | - Gustavo Amorim
- b Department of Mathematical Modelling, Statistics, and Bioinformatics, Faculty of Bioscience Engineering , University of Ghent , Ghent , Belgium
| | - Olivier Thas
- b Department of Mathematical Modelling, Statistics, and Bioinformatics, Faculty of Bioscience Engineering , University of Ghent , Ghent , Belgium
- f National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics , University of Wollongong , Wollongong , Australia
| | - Liv Veldeman
- d Department of Radiation Oncology , Ghent University Hospital , Ghent , Belgium
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15
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Potential Role of Single Nucleotide Polymorphisms of XRCC1, XRCC3, and RAD51 in Predicting Acute Toxicity in Rectal Cancer Patients Treated With Preoperative Radiochemotherapy. Am J Clin Oncol 2017; 40:535-542. [PMID: 25811296 DOI: 10.1097/coc.0000000000000182] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
OBJECTIVES To investigate the association between polymorphisms of DNA repair genes and xenobiotic with acute adverse effects in locally advanced rectal cancer patients treated with neoadjuvant radiochemotherapy. METHODS Sixty-seven patients were analyzed for the current study. Genotypes in DNA repair genes XRCC1 (G28152A), XRCC3 (A4541G), XRCC3 (C18067T), RAD51 (G315C), and GSTP1 (A313G) were determined by pyrosequencing technology. RESULTS The observed grade ≥3 acute toxicity rates were 23.8%. Chemotherapy and radiotherapy were interrupted for 46 and 14 days, respectively, due to critical complications. Four patients were hospitalized, 6 patients had been admitted to the ER, and 5 patients received invasive procedures (2 bladder catheters, 2 blood transfusions, and 1 growth factor therapy).RAD51 correlated with acute severe gastrointestinal toxicity in heterozygosity (Aa) and homozygosity (AA) (P=0.036). Grade ≥3 abdominal/pelvis pain toxicity was higher in the Aa group (P=0.017) and in the Aa+AA group (P=0.027) compared with homozygous (aa) patients. Acute skin toxicity of any grade occurred in 55.6% of the mutated patients versus 22.8% in the wild-type group (P=0.04) for RAD51. XRCC1 correlated with skin toxicity of any grade in the Aa+AA group (P=0.03) and in the Aa group alone (P=0.044). Grade ≥3 urinary frequency/urgency was significantly higher in patients with AA (P=0.01), Aa (P=0.022), and Aa+AA (P=0.031) for XRCC3 compared with aa group. CONCLUSIONS Our study suggested that RAD51, XRCC1, and XRCC3 polymorphisms may be predictive factors for radiation-induced acute toxicity in rectal cancer patients treated with preoperative combined therapy.
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McMahon SJ, McNamara AL, Schuemann J, Paganetti H, Prise KM. A general mechanistic model enables predictions of the biological effectiveness of different qualities of radiation. Sci Rep 2017; 7:10790. [PMID: 28883414 PMCID: PMC5589818 DOI: 10.1038/s41598-017-10820-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 08/15/2017] [Indexed: 12/04/2022] Open
Abstract
Predicting the responses of biological systems to ionising radiation is extremely challenging, particularly when comparing X-rays and heavy charged particles, due to the uncertainty in their Relative Biological Effectiveness (RBE). Here we assess the power of a novel mechanistic model of DNA damage repair to predict the sensitivity of cells to X-ray, proton or carbon ion exposures in vitro against over 800 published experiments. By specifying the phenotypic characteristics of cells, the model was able to effectively stratify X-ray radiosensitivity (R2 = 0.74) without the use of any cell-specific fitting parameters. This model was extended to charged particle exposures by integrating Monte Carlo calculated dose distributions, and successfully fit to cellular proton radiosensitivity using a single dose-related parameter (R2 = 0.66). Using these parameters, the model was also shown to be predictive of carbon ion RBE (R2 = 0.77). This model can effectively predict cellular sensitivity to a range of radiations, and has the potential to support developments of personalised radiotherapy independent of radiation type.
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Affiliation(s)
- Stephen J McMahon
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, BT9 7AE, Northern Ireland. .,Department of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA, 02114, USA.
| | - Aimee L McNamara
- Department of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA, 02114, USA
| | - Jan Schuemann
- Department of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA, 02114, USA
| | - Harald Paganetti
- Department of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA, 02114, USA
| | - Kevin M Prise
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, BT9 7AE, Northern Ireland
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Pavlopoulou A, Bagos PG, Koutsandrea V, Georgakilas AG. Molecular determinants of radiosensitivity in normal and tumor tissue: A bioinformatic approach. Cancer Lett 2017; 403:37-47. [DOI: 10.1016/j.canlet.2017.05.023] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 05/23/2017] [Accepted: 05/25/2017] [Indexed: 12/13/2022]
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Lazzari G, Natalicchio MI, Terlizzi A, Perri F, Silvano G. Single nucleotide polymorphisms and unacceptable late toxicity in breast cancer adjuvant radiotherapy: a case report. BREAST CANCER (DOVE MEDICAL PRESS) 2017; 9:401-406. [PMID: 28615972 PMCID: PMC5459975 DOI: 10.2147/bctt.s136048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background There has recently been a strong interest in the inter-individual variation in normal tissue and tumor response to radiotherapy (RT), because tissue radiosensitivity seems to be under genetic control. Evidence is accumulating on the role of polymorphic genetic variants, such as single nucleotide polymorphisms (SNPs) that could influence normal tissue response after radiation. The most studied SNPs include those in genes involved in DNA repair (single- and double-strand breaks, and base excision) and those active in the response to oxidative stress. Case report We present the case report of a 60-year-old woman with early breast cancer who underwent adjuvant hormone therapy and conventional radiotherapy, and subsequently developed unacceptable cosmetic toxicities of the irradiated breast requiring a genetic test of genes involved in DNA repair mechanisms. The patient was found to be heterozygous for G28152A (T/C) and C18067T (A/G) mutations in X-ray repair cross-complementing group 1 (XRCC1) and 3 (XRCC3), respectively, homozygous for A313G (G/G) mutation in glutathione S transferase Pi 1 (GSTP1), and wild-type for A4541G (A/A) in XRCC3 and G135C (G/G) in RAD51 recombinase. Conclusion The role of SNPs should be taken into account when a severe phenomenon appears in normal tissues after radiation treatment, because understanding the molecular basis of individual radiosensitivity may be useful for identifying moderately or extremely radiosensitive patients who may need tailored therapeutic strategies.
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Affiliation(s)
- Grazia Lazzari
- Radiation Oncology Unit, San Giuseppe Moscati Hospital, Taranto
| | | | | | - Francesco Perri
- Medical Oncology Unit, Presidio Ospedaliero Centrale-Santissima Annunziata, Taranto, Italy
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Mosse I, Kilchevsky A, Nikolova N, Zhelev N. Some problems and errors in cytogenetic biodosimetry. BIOTECHNOL BIOTEC EQ 2017. [DOI: 10.1080/13102818.2016.1259018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- Irma Mosse
- National Academy of Sciences, Institute of Genetics and Cytology, Minsk, Belarus
| | - Alexander Kilchevsky
- National Academy of Sciences, Institute of Genetics and Cytology, Minsk, Belarus
| | - Nevena Nikolova
- Faculty of Veterinary Medicine, Trakia University, Stara Zagora, Bulgaria
| | - Nikolai Zhelev
- Centre for Molecular Cellular Biosensor Research (CMCBR), School of Science, Engineering and Technology, Abertay University, Dundee, Scotland, UK
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Smith JJ, Wasserman I, Milgrom SA, Chow OS, Chen CT, Patil S, Goodman KA, Garcia-Aguilar J. Single Nucleotide Polymorphism TGFβ1 R25P Correlates with Acute Toxicity during Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients. Int J Radiat Oncol Biol Phys 2017; 97:924-930. [DOI: 10.1016/j.ijrobp.2016.12.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 12/05/2016] [Accepted: 12/08/2016] [Indexed: 12/19/2022]
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Herskind C, Talbot CJ, Kerns SL, Veldwijk MR, Rosenstein BS, West CML. Radiogenomics: A systems biology approach to understanding genetic risk factors for radiotherapy toxicity? Cancer Lett 2016; 382:95-109. [PMID: 26944314 PMCID: PMC5016239 DOI: 10.1016/j.canlet.2016.02.035] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 02/17/2016] [Accepted: 02/19/2016] [Indexed: 02/06/2023]
Abstract
Adverse reactions in normal tissue after radiotherapy (RT) limit the dose that can be given to tumour cells. Since 80% of individual variation in clinical response is estimated to be caused by patient-related factors, identifying these factors might allow prediction of patients with increased risk of developing severe reactions. While inactivation of cell renewal is considered a major cause of toxicity in early-reacting normal tissues, complex interactions involving multiple cell types, cytokines, and hypoxia seem important for late reactions. Here, we review 'omics' approaches such as screening of genetic polymorphisms or gene expression analysis, and assess the potential of epigenetic factors, posttranslational modification, signal transduction, and metabolism. Furthermore, functional assays have suggested possible associations with clinical risk of adverse reaction. Pathway analysis incorporating different 'omics' approaches may be more efficient in identifying critical pathways than pathway analysis based on single 'omics' data sets. Integrating these pathways with functional assays may be powerful in identifying multiple subgroups of RT patients characterised by different mechanisms. Thus 'omics' and functional approaches may synergise if they are integrated into radiogenomics 'systems biology' to facilitate the goal of individualised radiotherapy.
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Affiliation(s)
- Carsten Herskind
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
| | | | - Sarah L Kerns
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, USA; Department of Radiation Oncology, University of Rochester Medical Center, Rochester, USA
| | - Marlon R Veldwijk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Barry S Rosenstein
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, USA; Department of Radiation Oncology, New York University School of Medicine, USA; Department of Dermatology, Mount Sinai School of Medicine, New York, USA
| | - Catharine M L West
- Institute of Cancer Sciences, University of Manchester, Christie Hospital, Manchester, UK
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Andreassen CN, Schack LMH, Laursen LV, Alsner J. Radiogenomics – current status, challenges and future directions. Cancer Lett 2016; 382:127-136. [DOI: 10.1016/j.canlet.2016.01.035] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 01/06/2016] [Accepted: 01/08/2016] [Indexed: 12/22/2022]
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Xie XX, Ouyang SY, Jin HK, Wang H, Zhou JM, Hu BQ. Predictive value of Xrcc1 gene polymorphisms for side effects in patients undergoing whole breast radiotherapy: a meta-analysis. Asian Pac J Cancer Prev 2016; 13:6121-8. [PMID: 23464416 DOI: 10.7314/apjcp.2012.13.12.6121] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Radiation-induced side effects on normal tissue are determined largely by the capacity of cells to repair radiation-induced DNA damage. X-ray repair cross-complementing group 1 (XRCC1) plays an important role in the repair of DNA single-strand breaks. Studies have shown conflicting results regarding the association between XRCC1 gene polymorphisms (Arg399Gln, Arg194Trp, -77T>C and Arg280His) and radiation-induced side effects in patients undergoing whole breast radiotherapy. Therefore, we conducted a meta-analysis to determine the predictive value of XRCC1 gene polymorphisms in this regard. Analysis of the 11 eligible studies comprising 2,199 cases showed that carriers of the XRCC1 399 Gln allele had a higher risk of radiation-induced toxicity than those with the 399 ArgArg genotype in studies based on high-quality genotyping methods [Gln vs. ArgArg: OR, 1.85; 95% CI, 1.20-2.86] or in studies with mixed treatment regimens of radiotherapy alone and in combination with chemotherapy [Gln vs. ArgArg: OR, 1.60; 95% CI, 1.09-2.23]. The XRCC1 Arg399Gln variant allele was associated with mixed acute and late adverse reactions when studies on late toxicity only were excluded [Gln allele vs. Arg allele: OR, 1.22; 95% CI, 1.00-1.49]. In contrast, the XRCC1 Arg280His variant allele was protective against radiation-induced toxicity in studies including patients treated by radiotherapy alone [His allele vs. Arg allele: OR, 0.58; 95% CI, 0.35-0.96]. Our results suggest that XRCC1 399Gln and XRCC1 280Arg may be independent predictors of radiation-induced toxicity in post-surgical breast cancer patients, and the selection of genotyping method is an important factor in determining risk factors. No evidence for any predictive value of XRCC1 Arg194Trp and XRCC1 -77T>C was found. So, larger and well-designed studies might be required to further evaluate the predictive value of XRCC1 gene variation on radiation-induced side effects in patients undergoing whole breast radiotherapy.
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Affiliation(s)
- Xiao-Xue Xie
- Department of Radiation and Oncology, Hunan Provincial Tumor Hospital and Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, China
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Yu Y, Guan H, Dong Y, Xing L, Li X. Advances in dosimetry and biological predictors of radiation-induced esophagitis. Onco Targets Ther 2016; 9:597-603. [PMID: 26869804 PMCID: PMC4734814 DOI: 10.2147/ott.s97019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To summarize the research progress about the dosimetry and biological predictors of radiation-induced esophagitis. METHODS We performed a systematic literature review addressing radiation esophagitis in the treatment of lung cancer published between January 2009 and May 2015 in the PubMed full-text database index systems. RESULTS Twenty-eight eligible documents were included in the final analysis. Many clinical factors were related to the risk of radiation esophagitis, such as elder patients, concurrent chemoradiotherapy, and the intense radiotherapy regimen (hyperfractionated radiotherapy or stereotactic body radiotherapy). The parameters including Dmax, Dmean, V20, V30, V50, and V55 may be valuable in predicting the occurrence of radiation esophagitis in patients receiving concurrent chemoradiotherapy. Genetic variants in inflammation-related genes are also associated with radiation-induced toxicity. CONCLUSION Dosimetry and biological factors of radiation-induced esophagitis provide clinical information to decrease its occurrence and grade during radiotherapy. More prospective studies are warranted to confirm their prediction efficacy.
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Affiliation(s)
- Yang Yu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China
| | - Hui Guan
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China
| | - Yuanli Dong
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan, Jinan, People's Republic of China
| | - Ligang Xing
- Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, People's Republic of China
| | - Xiaolin Li
- Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, People's Republic of China
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Córdoba EE, Abba MC, Lacunza E, Fernánde E, Güerci AM. Polymorphic Variants in Oxidative Stress Genes and Acute Toxicity in Breast Cancer Patients Receiving Radiotherapy. Cancer Res Treat 2016; 48:948-54. [PMID: 26790968 PMCID: PMC4946367 DOI: 10.4143/crt.2015.360] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 12/17/2015] [Indexed: 12/27/2022] Open
Abstract
Purpose Reactive oxygen species (ROS) are generated as an indirect product of radiation therapy (RT). Genetic variation in genes related to ROS metabolism may influence the level of RT-induced adverse effects. We evaluated the potential association of single nucleotide polymorphism (SNP)–related response to radiotherapy injury in breast cancer patients undergoing RT. Materials and Methods Eighty patients receiving conventional RT were included. Acute effects were evaluated according to the Radiation Therapy Oncology Group (RTOG) scores. DNA was extracted from blood and buccal swab samples. SNPs were genotyped for GSTP1, GSTA1, SOD2, and NOS3 genes by polymerase chain reaction–based restriction fragment length polymorphism. Univariate analysis (odds ratios [ORs] and 95% confidence interval [CI]) and principal component analysis were used for correlation of SNPs and factors related to risk of developing ≥ grade 2 acute effects. Results Sixty-five patients (81.2%) showed side effects, 32 (40%) presented moderate to severe acute skin toxicity, and 33 (41.2%) manifested minimal acute skin reactions by the end of treatment. In both univariate and multivariate analyses, nominally significant associations were found among body mass index (OR, 3.14; 95% CI, 8.5338 to 1.1274; p=0.022), breast size (OR, 5.11; 95% CI, 17.04 to 1.54; p=0.004), and grade ≥ 2 acute radiation skin toxicity. A significant association was also observed between NOS3 G894T polymorphism (OR, 9.8; 95% CI, 211.6 to 0.45; p=0.041) and grade ≥ 2 acute radiation skin toxicity in patients with neo-adjuvant chemotherapy treatment. Conclusion The analysis of the factors involved in individual radiosensitivity contributed to the understanding of the mechanisms underlying this trait.
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Affiliation(s)
- Elisa Eugenia Córdoba
- Department of Physics, School of Exact Sciences, National University of La Plata, Argentina.,IGEVET-Veterinary Genetics Institute (National Scientific and Technical Research Council-National University of La Plata) School of Veterinary Sciences, La Plata, Argentina
| | - Martín Carlos Abba
- Basic and Applied Immunological Research Center, School of Medicine, National University of La Plata, Argentina
| | - Ezequiel Lacunza
- Basic and Applied Immunological Research Center, School of Medicine, National University of La Plata, Argentina
| | | | - Alba Mabel Güerci
- Department of Physics, School of Exact Sciences, National University of La Plata, Argentina.,IGEVET-Veterinary Genetics Institute (National Scientific and Technical Research Council-National University of La Plata) School of Veterinary Sciences, La Plata, Argentina
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Zhang H, Wang M, Shi T, Shen L, Liang L, Deng Y, Li G, Zhu J, Wu Y, Fan M, Deng W, Wei Q, Zhang Z. TNF rs1799964 as a Predictive Factor of Acute Toxicities in Chinese Rectal Cancer Patients Treated With Chemoradiotherapy. Medicine (Baltimore) 2015; 94:e1955. [PMID: 26559268 PMCID: PMC4912262 DOI: 10.1097/md.0000000000001955] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Acute toxicity is the main dose-limiting factor in the chemoradiotherapy of rectal cancer patients and depends on several pro-inflammatory factors, including interleukin-1 (IL-1), IL-6, and tumor necrosis factor-alpha (TNF-α). It is unknown whether genetic factors, such as single-nucleotide polymorphisms (SNPs) in the IL-1, IL-6, and TNF genes, are also associated with acute toxicity in the process.We genotyped 5 potentially functional SNPs in these 3 genes (TNF rs1799964, TNF rs1800629, IL-6 rs1800796, and IL-1 rs1143623, IL-1 rs1143627) and estimated their associations with severe acute radiation injury (grade ≥2) in 356 rectal cancer patients.We found a predictive role of the TNF rs1799964 T variant allele in the development of acute injury (for CT vs CC: adjusted odds ratio [OR] = 4.718, 95% confidence interval [CI] = 1.152-19.328, P = 0.031; for TT vs CC: adjusted OR = 4.443, 95% CI = 1.123-17.581, P = 0.034). In the dominant model, for CT/TT vs CC, the adjusted OR = 4.132, 95% CI = 1.069-15.966, and P = 0.04.Our results suggested that genetic variants in the TNF gene may influence acute injury in rectal cancer patients treated with chemoradiotherapy and may be a predictor for personalized treatment. Additional larger and independent studies are needed to confirm our findings.
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Affiliation(s)
- Hui Zhang
- From the Department of Radiation Oncology (HZ, LS, LL, GL, JZ, YW, MF, WD, ZZ); Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China (MW, YD, QW); Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina (QW); Department of Obstetrics and Gynocology, Zhongshan Hospital (TS); and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (HZ, MW, LS, LL, YD, GL, JZ, YW, MF, WD, ZZ)
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Zhang H, Wang M, Shi T, Shen L, Zhu J, Sun M, Deng Y, Liang L, Li G, Wu Y, Fan M, Wei Q, Zhang Z. Genetic polymorphisms of PAI-1 and PAR-1 are associated with acute normal tissue toxicity in Chinese rectal cancer patients treated with pelvic radiotherapy. Onco Targets Ther 2015; 8:2291-301. [PMID: 26347502 PMCID: PMC4556037 DOI: 10.2147/ott.s83723] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Plasminogen activator inhibitor type 1 (PAI-1) and protease-activated receptor-1 (PAR-1) are crucial mediators of the intestinal microenvironment and are involved in radiation-induced acute and chronic injury. To evaluate whether genetic polymorphisms of PAI-1 and PAR-1 were predictors of radiation-induced injury in patients with rectal cancer, we retrospectively evaluated 356 rectal cancer patients who had received pelvic radiotherapy and analyzed the association of genetic polymorphisms of PAI-1 and PAR-1 with acute toxicities after radiotherapy. Acute adverse events were scored, including dermatitis, fecal incontinence (anal toxicity), hematological toxicity, diarrhea, and vomiting. The patients were grouped into grade ≥2 and grade 0-1 toxicity groups to analyze the acute toxicities. Genotyping of six single nucleotide polymorphisms (SNPs) of PAI-1 and PAR-1 was performed using TaqMan assays. A logistic regression model was used to estimate the odds ratios and 95% confidence intervals. Of the 356 individuals, 264 (72.5%) had grade ≥2 total toxicities; within this group, there were 65 (18.3%) individuals who reached grade ≥3 toxicities. There were 19.5% (69/354) and 36.9% (130/352) patients that developed grade ≥2 toxicities for diarrhea and fecal incontinence, respectively. The variant genotype GG of rs1050955 in PAI-1 was found to be negatively associated with the risk of diarrhea and incontinence (P<0.05), whereas the AG and GG genotypes of rs2227631 in PAI-1 were associated with an increased risk of incontinence. The CT genotype of PAR-1 rs32934 was associated with an increased risk of total toxicity compared with the CC allele. Our results demonstrated that SNPs in the PAI-1 and PAR-1 genes were associated with acute injury in rectal cancer patients treated with pelvic irradiation. These SNPs may be useful biomarkers for predicting acute radiotoxicity in patients with rectal cancer if validated in future studies.
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Affiliation(s)
- Hui Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Mengyun Wang
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Tingyan Shi
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Lijun Shen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ji Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Menghong Sun
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yun Deng
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Liping Liang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Guichao Li
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yongxin Wu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ming Fan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Qingyi Wei
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Zhen Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China ; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
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Margalit DN, Jordahl KM, Werner L, Wang X, Gwo-Shu Lee M, Penney KL, Batista JL, Martin NE, Chan JM, Kantoff PW, Stampfer MJ, Nguyen PL, Mucci LA. GermLine Variation in Superoxide Dismutase-2 (SOD2) and Survival Outcomes After Radiation Therapy for Prostate Cancer: Results of a Test and Validation Set Analysis. Clin Genitourin Cancer 2015; 13:370-377.e1. [PMID: 25662905 PMCID: PMC5038132 DOI: 10.1016/j.clgc.2014.12.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 12/28/2014] [Accepted: 12/29/2014] [Indexed: 12/25/2022]
Abstract
BACKGROUND Genetic variants in antioxidant pathways might decrease the efficacy of radiation therapy (RT) by suppressing the generation of reactive oxygen species. We studied the association between single nucleotide polymorphisms (SNPs) in the antioxidant gene superoxide dismutase-2 (SOD2) and cancer-specific outcomes after RT. PATIENTS AND METHODS Among 816 prostate cancer patients who received radiation as primary therapy from the Physicians' Health Study and the Health Professionals Follow-up Study, we evaluated the association of 7 tagging SNPs in SOD2 with lethal prostate cancer (death from prostate cancer or distant metastasis among living patients). We sought to validate findings in a separate cohort of 612 prostate cancer patients treated with RT with a greater proportion of intermediate and high-risk Gleason scores at the Dana-Farber Cancer Institute. Genetic effects were analyzed using a codominant model, using the genotype homozygous for the major allele as baseline. RESULTS Among patients who underwent RT in the test cohort, there was a significant association between 3 of the 7 SOD2 SNPs and lethal prostate cancer: rs6917589 (overall P = .006), rs2758331 (P = .04) and the functional valine to alanine polymorphism in rs4880 (P = .04). These SNPs were not associated with outcome among men who had undergone prostatectomy. The associations were not replicated in the validation cohort. CONCLUSION Germline genetic variation in the SOD2 gene might be a predictive biomarker of response to RT for prostate cancer but is not consistently associated with outcome after RT across prostate cancer cohorts with different clinical characteristics.
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Affiliation(s)
- Danielle N Margalit
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA.
| | | | - Lillian Werner
- Departments of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA
| | - Xiaodong Wang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mary Gwo-Shu Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Kathryn L Penney
- Department of Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Julie L Batista
- Department of Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Neil E Martin
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | - June M Chan
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Philip W Kantoff
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Meir J Stampfer
- Department of Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Paul L Nguyen
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Scaife JE, Barnett GC, Noble DJ, Jena R, Thomas SJ, West CML, Burnet NG. Exploiting biological and physical determinants of radiotherapy toxicity to individualize treatment. Br J Radiol 2015; 88:20150172. [PMID: 26084351 PMCID: PMC4628540 DOI: 10.1259/bjr.20150172] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 05/07/2015] [Accepted: 05/21/2015] [Indexed: 12/16/2022] Open
Abstract
The recent advances in radiation delivery can improve tumour control probability (TCP) and reduce treatment-related toxicity. The use of intensity-modulated radiotherapy (IMRT) in particular can reduce normal tissue toxicity, an objective in its own right, and can allow safe dose escalation in selected cases. Ideally, IMRT should be combined with image guidance to verify the position of the target, since patients, target and organs at risk can move day to day. Daily image guidance scans can be used to identify the position of normal tissue structures and potentially to compute the daily delivered dose. Fundamentally, it is still the tolerance of the normal tissues that limits radiotherapy (RT) dose and therefore tumour control. However, the dose-response relationships for both tumour and normal tissues are relatively steep, meaning that small dose differences can translate into clinically relevant improvements. Differences exist between individuals in the severity of toxicity experienced for a given dose of RT. Some of this difference may be the result of differences between the planned dose and the accumulated dose (DA). However, some may be owing to intrinsic differences in radiosensitivity of the normal tissues between individuals. This field has been developing rapidly, with the demonstration of definite associations between genetic polymorphisms and variation in toxicity recently described. It might be possible to identify more resistant patients who would be suitable for dose escalation, as well as more sensitive patients for whom toxicity could be reduced or avoided. Daily differences in delivered dose have been investigated within the VoxTox research programme, using the rectum as an example organ at risk. In patients with prostate cancer receiving curative RT, considerable daily variation in rectal position and dose can be demonstrated, although the median position matches the planning scan well. Overall, in 10 patients, the mean difference between planned and accumulated rectal equivalent uniform doses was -2.7 Gy (5%), and a dose reduction was seen in 7 of the 10 cases. If dose escalation was performed to take rectal dose back to the planned level, this should increase the mean TCP (as biochemical progression-free survival) by 5%. Combining radiogenomics with individual estimates of DA might identify almost half of patients undergoing radical RT who might benefit from either dose escalation, suggesting improved tumour cure or reduced toxicity or both.
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Affiliation(s)
- J E Scaife
- University of Cambridge Department of Oncology, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
- Cancer Research UK VoxTox Research Group, University of Cambridge Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
| | - G C Barnett
- Cancer Research UK VoxTox Research Group, University of Cambridge Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
- Oncology Centre, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - D J Noble
- Oncology Centre, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - R Jena
- University of Cambridge Department of Oncology, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
- Cancer Research UK VoxTox Research Group, University of Cambridge Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
| | - S J Thomas
- Cancer Research UK VoxTox Research Group, University of Cambridge Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
- Medical Physics Department, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - C M L West
- Institute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - N G Burnet
- University of Cambridge Department of Oncology, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
- Cancer Research UK VoxTox Research Group, University of Cambridge Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
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Song YZ, Han FJ, Liu M, Xia CC, Shi WY, Dong LH. Association between Single Nucleotide Polymorphisms in XRCC3 and Radiation-Induced Adverse Effects on Normal Tissue: A Meta-Analysis. PLoS One 2015; 10:e0130388. [PMID: 26091483 PMCID: PMC4474802 DOI: 10.1371/journal.pone.0130388] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 05/20/2015] [Indexed: 01/26/2023] Open
Abstract
The X-ray repair cross-complementing group 3 (XRCC3) protein plays an important role in the repair of DNA double-strand breaks. The relationship between XRCC3 polymorphisms and the risk of radiation-induced adverse effects on normal tissue remains inconclusive. Thus, we performed a meta-analysis to elucidate the association between XRCC3 polymorphisms and radiation-induced adverse effects on normal tissue. All eligible studies up to December 2014 were identified through a search of the PubMed, Embase and Web of Science databases. Seventeen studies involving 656 cases and 2193 controls were ultimately included in this meta-analysis. The pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the association between XRCC3 polymorphisms and the risk of radiation-induced normal tissue adverse effects. We found that the XRCC3 p.Thr241Met (rs861539) polymorphism was significantly associated with early adverse effects induced by radiotherapy (OR = 1.99, 95%CI: 1.31-3.01, P = 0.001). A positive association lacking statistical significance with late adverse effects was also identified (OR = 1.28, 95%CI: 0.97-1.68, P = 0.08). In addition, the rs861539 polymorphism was significantly correlated with a higher risk of adverse effects induced by head and neck area irradiation (OR = 2.41, 95%CI: 1.49-3.89, p = 0.0003) and breast irradiation (OR = 1.41, 95%CI: 1.02-1.95, p = 0.04), whereas the correlation was not significant for lung irradiation or pelvic irradiation. Furthermore, XRCC3 rs1799794 polymorphism may have a protective effect against late adverse effects induced by radiotherapy (OR = 0.47, 95%CI: 0.26-0.86, P = 0.01). Well-designed large-scale clinical studies are required to further validate our results.
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Affiliation(s)
- Yu-Zhe Song
- Department of Radiation Oncology, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Fu-Jun Han
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Min Liu
- Department of Radiation Oncology, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Cheng-Cheng Xia
- Department of Radiation Oncology, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Wei-Yan Shi
- Department of Radiation Oncology, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Li-Hua Dong
- Department of Radiation Oncology, the First Hospital of Jilin University, Changchun, Jilin, China
- * E-mail:
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Engin VS, Tufan F, Kalayoglu Besisik S, Engin G, Ozturk M, Ersoy S. Hematological aftermath of the radiation accident in Istanbul. Int J Radiat Biol 2015; 91:724-31. [PMID: 25994813 DOI: 10.3109/09553002.2015.1054527] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE The effects of radiation exposure are long-lasting. Long-term monitoring is imperative to diagnose late effects and improve our far-sightedness about possible events in the future. A radiation accident occurred in Istanbul in 1998 that resulted in mild to moderate acute radiation syndrome (ARS). In this study we aimed to investigate the changes in hematological parameters at the long-term follow-up of ARS patients. METHODS Ten adults were hospitalized after exposure to a 60Co source. Seven were diagnosed as having ARS and had severe and symptomatic pancytopenia. All of the exposed people recovered following intensive treatment. Treatment was supportive with transfusion, granulocyte-colony stimulating factor, and anti- infective management covering antifungal agents. Patients were closely monitored. Nine years after the accident, the initial and follow-up complete blood count examinations and peripheral blood smears (PBS) were comparatively evaluated by an experienced hematologist. The hematological laboratory values of the patients on admission, after treatment, and nine years after the accident were documented and compared. RESULTS Biodosimetric analysis revealed that whole-body doses ranged from 1-1.9 Gy. All subjects have shown complete recovery of the hematological laboratory values after treatment. All but one of the subjects showed complete blood cell recovery. The improvement of the blood cell count of the excepted patient stalled at a mildly reduced level and his bone marrow was still hypocellular nine years after the accident; however, no malignant changes were detected. Values at admission were significantly different compared with post treatment and present values of all patients. Post treatment and follow-up values were similar. One of the patients died of lung cancer. None of the patients developed hematological malignancy. CONCLUSIONS In this study, the recovery from ARS was complete after treatment. The small population, short follow-up period, and the relatively small doses resulted in no long-term adverse effects, as would be predicted.
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Affiliation(s)
- Velittin Selcuk Engin
- a Family Medicine Specialist, Internal Medicine Emergency Ward, Haseki Education and Research Hospital , Istanbul , Turkey
| | - Fatih Tufan
- b Internal Medicine and Geriatrics specialist, Istanbul University, Faculty of Medical Sciences, Department of Gerontology , Istanbul , Turkey
| | - Sevgi Kalayoglu Besisik
- c Istanbul University, Istanbul School of Medicine, Hematology Department of Internal Medicine , Istanbul , Turkey
| | - Gulgun Engin
- d Oncology Institute, Department of Radiology , Istanbul , Turkey
| | - Mustafa Ozturk
- e Ministry of Health, Public Health Directorate , Ankara, Turkey
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Ree AH, Redalen KR. Personalized radiotherapy: concepts, biomarkers and trial design. Br J Radiol 2015; 88:20150009. [PMID: 25989697 DOI: 10.1259/bjr.20150009] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
In the past decade, and pointing onwards to the immediate future, clinical radiotherapy has undergone considerable developments, essentially including technological advances to sculpt radiation delivery, the demonstration of the benefit of adding concomitant cytotoxic agents to radiotherapy for a range of tumour types and, intriguingly, the increasing integration of targeted therapeutics for biological optimization of radiation effects. Recent molecular and imaging insights into radiobiology will provide a unique opportunity for rational patient treatment, enabling the parallel design of next-generation trials that formally examine the therapeutic outcome of adding targeted drugs to radiation, together with the critically important assessment of radiation volume and dose-limiting treatment toxicities. In considering the use of systemic agents with presumed radiosensitizing activity, this may also include the identification of molecular, metabolic and imaging markers of treatment response and tolerability, and will need particular attention on patient eligibility. In addition to providing an overview of clinical biomarker studies relevant for personalized radiotherapy, this communication will highlight principles in addressing clinical evaluation of combined-modality-targeted therapeutics and radiation. The increasing number of translational studies that bridge large-scale omics sciences with quality-assured phenomics end points-given the imperative development of open-source data repositories to allow investigators the access to the complex data sets-will enable radiation oncology to continue to position itself with the highest level of evidence within existing clinical practice.
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Affiliation(s)
- A H Ree
- 1 Department of Oncology, Akershus University Hospital, Lørenskog, Norway.,2 Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - K R Redalen
- 1 Department of Oncology, Akershus University Hospital, Lørenskog, Norway
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A simulated SNP experiment indicates a high risk of over-fitting and false positive results when a predictive multiple SNP model is established and tested within the same dataset. Radiother Oncol 2015; 114:310-3. [DOI: 10.1016/j.radonc.2015.02.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 02/03/2015] [Indexed: 01/05/2023]
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Predictive SNPs for radiation-induced damage in lung cancer patients with radiotherapy: a potential strategy to individualize treatment. Int J Biol Markers 2015; 30:e1-11. [PMID: 25262703 DOI: 10.5301/jbm.5000108] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2014] [Indexed: 12/25/2022]
Abstract
In the treatment of lung cancer, radiotherapy has become one of the most important therapies, despite its sometimes unpredictable side effects. As such, identifying lung cancer patients who are at high risk of developing severe radiation-induced damage (mainly radiation pneumonitis and radiation-induced esophageal toxicity) and applying effect intervention or monitoring techniques are important. Although human diversity to a certain amount is explained by clinical and dosimetric factors, the presence of specific genetic determinants also influences the occurrence of radiation-induced damage. Here we summarize the data on mechanisms of radiation pneumonitis and radiation-induced esophageal toxicity supporting the involvement of variances of genes in the evolution of radiation-induced damage. Furthermore, the available evidence from current clinical studies of genetic polymorphisms for the prediction of radiation pneumonitis and radiation-induced esophageal toxicity is discussed. Eventually, this may help to truly individualize radiotherapy, using a personal genetic profile of the most relevant genes for each lung cancer patient.
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Association between SNPs in defined functional pathways and risk of early or late toxicity as well as individual radiosensitivity. Strahlenther Onkol 2014; 191:59-66. [DOI: 10.1007/s00066-014-0741-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2014] [Accepted: 07/16/2014] [Indexed: 12/13/2022]
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Petkova R, Chelenkova P, Georgieva E, Chakarov S. What's your poison? Impact of individual repair capacity on the outcomes of genotoxic therapies in cancer. Part II - information content and validity of biomarkers for individual repair capacity in the assessment of outcomes of anticancer therapy. BIOTECHNOL BIOTEC EQ 2014; 28:2-7. [PMID: 26019482 PMCID: PMC4433894 DOI: 10.1080/13102818.2014.902532] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The individual variance in the efficiency of repair of damage induced by genotoxic therapies may be an important factor in the assessment of eligibility for different anticancer treatments, the outcomes of various treatments and the therapy-associated complications, including acute and delayed toxicity and acquired drug resistance. The second part of this paper analyses the currently available information about the possibilities of using experimentally obtained knowledge about individual repair capacity for the purposes of personalised medicine and healthcare.
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Affiliation(s)
- Rumena Petkova
- Scientific Technological Service (STS) , Sofia , Bulgaria
| | | | | | - Stoian Chakarov
- Sofia University "St. Kliment Ohridski", Faculty of Biology , Sofia , Bulgaria
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Petkova R, Chelenkova P, Georgieva E, Chakarov S. What's Your Poison? Impact of Individual Repair Capacity on the Outcomes of Genotoxic Therapies in Cancer. Part I—Role of Individual Repair Capacity in the Constitution of Risk for Late-Onset Multifactorial Disease. BIOTECHNOL BIOTEC EQ 2014. [DOI: 10.5504/bbeq.2013.0097] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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Cheuk IWY, Yip SP, Kwong DLW, Wu VWC. Association of XRCC1 and XRCC3 gene haplotypes with the development of radiation-induced fibrosis in patients with nasopharyngeal carcinoma. Mol Clin Oncol 2014; 2:553-558. [PMID: 24940494 DOI: 10.3892/mco.2014.276] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 03/07/2014] [Indexed: 01/18/2023] Open
Abstract
Radiation-induced fibrosis is one of the late complications of radiotherapy (RT) for nasopharyngeal carcinoma (NPC). The aim of this study was to investigate the association between X-ray repair cross-complementing protein 1 and 3 (XRCC1 and XRCC3, respectively) gene haplotypes and radiation-induced fibrosis in NPC patients. Genomic DNA was extracted from blood samples of 120 NPC patients previously treated with RT. In total, 12 tag single-nucleotide polymorphisms (SNPs) were selected from the XRCC1 and XRCC3 genes and were genotyped using restriction fragment length polymorphism analysis or unlabeled probe melting analysis. Single-marker and haplotype analyses were performed using multivariate logistic regression analysis. The functional variant rs861539 of XRCC3 may be associated with radiation-induced fibrosis [asymptotic P-value (Pasym)<0.05]. No significant association was observed between radiation-induced fibrosis and any of the tag SNPs of XRCC1 and XRCC3 in either single-marker or haplotype analysis after 10,000 permutations [empirical P-value (Pemp)>0.05]. Our preliminary results indicated that the rs861539 variant of XRCC3 may be associated with an increased risk of radiation-induced fibrosis; however, a large-scale study is required to confirm this result.
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Affiliation(s)
- Isabella Wai Yin Cheuk
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, P.R. China
| | - Shea Ping Yip
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, P.R. China
| | - Dora Lai Wan Kwong
- Department of Clinical Oncology, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong, SAR, P.R. China
| | - Vincent Wing Cheung Wu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, SAR, P.R. China
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Among 45 variants in 11 genes, HDM2 promoter polymorphisms emerge as new candidate biomarker associated with radiation toxicity. 3 Biotech 2014; 4:137-148. [PMID: 28324443 PMCID: PMC3964253 DOI: 10.1007/s13205-013-0135-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 04/11/2013] [Indexed: 01/09/2023] Open
Abstract
Due to individual variations in radiosensitivity, biomarkers are needed to tailor radiation treatment to cancer patients. Since single nucleotide polymorphisms (SNPs) are frequent in human, we hypothesized that SNPs in genes that mitigate the radiation response are associated with radiotoxicity, in particular late complications to radiotherapy and could be used as genetic biomarkers for radiation sensitivity. A total of 155 patients with nasopharyngeal cancer were included in the study. Normal tissue fibrosis was scored using RTOG/EORTC grading system. Eleven candidate genes (ATM, XRCC1, XRCC3, XRCC4, XRCC5, PRKDC, LIG4, TP53, HDM2, CDKN1A, TGFB1) were selected for their presumed influence on radiosensitivity. Forty-five SNPs (12 primary and 33 neighboring) were genotyped by direct sequencing of genomic DNA. Patients with severe fibrosis (cases, G3–4, n = 48) were compared to controls (G0–2, n = 107). Results showed statistically significant (P < 0.05) association with radiation complications for six SNPs (ATM G/A rs1801516, HDM2 promoter T/G rs2279744 and T/A rs1196333, XRCC1 G/A rs25487, XRCC5 T/C rs1051677 and TGFB1 C/T rs1800469). We conclude that these six SNPs are candidate genetic biomarkers for radiosensitivity in our patients that have cumulative effects as patients with severe fibrosis harbored significantly higher number of risk alleles than the controls (P < 0.001). Larger cohort, independent replication of these findings and genome-wide association studies are required to confirm these results in order for SNPs to be used as biomarkers to individualize radiotherapy on genetic basis.
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Finding the genetic determinants of adverse reactions to radiotherapy. Clin Oncol (R Coll Radiol) 2014; 26:301-8. [PMID: 24702740 DOI: 10.1016/j.clon.2014.02.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Revised: 01/31/2014] [Accepted: 02/04/2014] [Indexed: 11/21/2022]
Abstract
Individual variation in radiosensitivity is thought to be at least partly determined by genetic factors. The remaining difference between individuals is caused by comorbidities, variation in treatment, body habitus and stochastic factors. Evidence for the heritability of radiosensitivity comes from rare genetic disorders and from cell-based studies. To what extent common and rare genetic variants might explain the genetic component of radiosensitivity has not been fully elucidated. If the genetic variants accounting for this heritability were to be determined, they could be incorporated into any future predictive statistical model of adverse reactions to radiotherapy. With the evolution of DNA sequencing and bioinformatics, radiogenomics has emerged as a new research field with the aim of finding the genetic determinants of adverse reactions to radiotherapy. Similar to the investigation of other complex genetic disease traits, early studies in radiogenomics involved candidate gene association studies--many plagued by false associations caused by low sample sizes and problematic experimental design. More recently, some promising genetic associations (e.g. with tumour necrosis factor) have emerged from large multi-institutional cohorts with built-in replication. At the same time, several small- to medium-sized genome-wide association studies (GWAS) have been or are about to be published. These studies will probably lead to an increasing number of genetic polymorphisms that may predict adverse reactions to radiotherapy. The future of the field is to create large patient cohorts for multiple cancer types, to validate the genetic loci and build reliable predictive models. For example, the REQUITE project involves multiple groups in Europe and North America. For further discovery studies, larger GWAS will be necessary to include rare sequence variants through next generation sequencing. Ultimately, radiogenomics seeks to predict which cancer patients will show radiosensitivity or radioresistance, so oncologists and surgeons can alter treatment accordingly to lower adverse reactions or increase the efficacy of radiotherapy.
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Proud C. Radiogenomics: The Promise of Personalized Treatment in Radiation Oncology? Clin J Oncol Nurs 2014; 18:185-9. [DOI: 10.1188/14.cjon.185-189] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zhou Y, Zhou W, Liu Q, Fan Z, Yang Z, Tu Q, Li L, Liu H. XRCC1 R399Q polymorphism and risk of normal tissue injury after radiotherapy in breast cancer patients. Tumour Biol 2013; 35:21-5. [PMID: 24292986 DOI: 10.1007/s13277-013-0990-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2013] [Accepted: 07/01/2013] [Indexed: 01/04/2023] Open
Abstract
Radiotherapy is an important weapon in the treatment of breast cancer, but normal tissue injury after radiotherapy can be a threat for patients. Genetic markers conferring the ability to identify hyper-sensitive patients at risk of normal tissue injury in advance would considerably improve therapy. Association studies on genetic variation and occurrence of normal tissue injury can help us identify such markers, but previous studies on the association between XRCC1 R399Q polymorphism and risk of normal tissue injury after radiotherapy in breast cancer patients report conflicting findings. We performed a meta-analysis to comprehensively evaluate the association between XRCC1 R399Q polymorphism and risk of normal tissue injury after radiotherapy in breast cancer patients. The pooled odds ratios (ORs) with their 95% confidence interval (95% CIs) were calculated to assess the strength of the association. Fourteen case-control studies with a total of 2,448 breast cancer cases were finally included into the meta-analysis. Overall, XRCC1 R399Q polymorphism was significantly associated with increased risk of normal tissue injury after radiotherapy under all three models (for QQ versus RR: fixed-effects OR = 1.06, 95% CI 1.00-1.13, P = 0.050; for RQ versus RR: fixed-effects OR = 1.05, 95% CI 1.00-1.10, P = 0.047; for QQ/RQ versus RR: fixed-effects OR = 1.26, 95% CI 1.01-1.58, P = 0.041). The meta-analysis suggests that XRCC1 R399Q polymorphism was significantly associated with increased risk of normal tissue injury after radiotherapy in breast cancer patients, and XRCC1 R399Q polymorphism is a genetic marker of normal tissue injury after radiotherapy in breast cancer patients.
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Affiliation(s)
- Yingying Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410000, China
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Boothe DL, Coplowitz S, Greenwood E, Christos PJ, Parashar B, Nori D, Chao KSC, Wernicke AG. Transforming growth factor β-1 (TGF-β1) is a serum biomarker of radiation induced fibrosis in patients treated with intracavitary accelerated partial breast irradiation: preliminary results of a prospective study. Int J Radiat Oncol Biol Phys 2013; 87:1030-6. [PMID: 24139518 PMCID: PMC4104525 DOI: 10.1016/j.ijrobp.2013.08.045] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 08/09/2013] [Accepted: 08/27/2013] [Indexed: 12/25/2022]
Abstract
PURPOSE To examine a relationship between serum transforming growth factor β -1 (TGF-β1) values and radiation-induced fibrosis (RIF). METHODS AND MATERIALS We conducted a prospective analysis of the development of RIF in 39 women with American Joint Committee on Cancer stage 0-I breast cancer treated with lumpectomy and accelerated partial breast irradiation via intracavitary brachytherapy (IBAPBI). An enzyme-linked immunoassay (Quantikine, R&D, Minneapolis, MN) was used to measure serum TGF-β1 before surgery, before IBAPBI, and during IBAPBI. Blood samples for TGF-β1 were also collected from 15 healthy, nontreated women (controls). The previously validated tissue compliance meter (TCM) was used to objectively assess RIF. RESULTS The median time to follow-up for 39 patients was 44 months (range, 5-59 months). RIF was graded by the TCM scale as 0, 1, 2, and 3 in 5 of 20 patients (25%), 6 of 20 patients (30%), 5 of 20 patients (25%), and 4 of 20 patients (20%), respectively. The mean serum TGF-β1 values were significantly higher in patients before surgery than in disease-free controls, as follows: all cancer patients (30,201 ± 5889 pg/mL, P=.02); patients with any type of RIF (32,273 ± 5016 pg/mL, P<.0001); and women with moderate to severe RIF (34,462 ± 4713 pg/mL, P<0.0001). Patients with moderate to severe RIF had significantly elevated TGF-β1 levels when compared with those with none to mild RIF before surgery (P=.0014) during IBAPBI (P≤0001), and the elevation persisted at 6 months (P≤.001), 12 months (P≤.001), 18 months (P≤.001), and 24 months (P=.12). A receiver operating characteristic (ROC) curve of TGF-β1 values predicting moderate to severe RIF was generated with an area under the curve (AUC)ROC of 0.867 (95% confidence interval 0.700-1.000). The TGF-β1 threshold cutoff was determined to be 31,000 pg/mL, with associated sensitivity and specificity of 77.8% and 90.0%, respectively. CONCLUSIONS TGF-β1 levels correlate with the development of moderate to severe RIF. The pre-IBAPBI mean TGF-β1 levels can serve as an early biomarker for the development of moderate to severe RIF after IBAPBI.
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Affiliation(s)
- Dustin L. Boothe
- Weill Cornell Medical College of Cornell University, New York, NY
| | - Shana Coplowitz
- Department of Radiation Oncology, Stich Radiation Center, Weill Cornell Medical College of Cornell University, New York, NY
| | - Eleni Greenwood
- Weill Cornell Medical College of Cornell University, New York, NY
| | - Paul J. Christos
- Division of Biostatistics and Epidemiology, Department of Public Health, Weill Cornell Medical College of Cornell University, New York, NY
| | - Bhupesh Parashar
- Department of Radiation Oncology, Stich Radiation Center, Weill Cornell Medical College of Cornell University, New York, NY
| | - Dattatreyudu Nori
- Department of Radiation Oncology, Stich Radiation Center, Weill Cornell Medical College of Cornell University, New York, NY
| | - KS Clifford Chao
- Department of Radiation Oncology, Stich Radiation Center, Weill Cornell Medical College of Cornell University, New York, NY
| | - A. Gabriella Wernicke
- Department of Radiation Oncology, Stich Radiation Center, Weill Cornell Medical College of Cornell University, New York, NY
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Zhu ML, Wang M, Shi TY, Li QX, Xi P, Xia KQ, Zheng L, Wei QY. No association between TGFB1 polymorphisms and late radiotherapy toxicity: a meta-analysis. PLoS One 2013; 8:e76964. [PMID: 24130819 PMCID: PMC3793936 DOI: 10.1371/journal.pone.0076964] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2013] [Accepted: 08/28/2013] [Indexed: 12/31/2022] Open
Abstract
Background Transforming growth factor-beta 1 (TGF-β1) protein may be multifunctional and related to the development of fibrosis, induction of apoptosis, extracellular signaling and inhibition of proliferation in response to radiation-induced DNA damage. Several studies have investigated associations between single nucleotide polymorphisms (SNPs) in the TGFB1 gene and risk of late radiation-induced injury of normal tissue, but the conclusions remain controversial. Methods We searched three electronic databases (i.e., MEDLINE, EMBASE and EBSCO) for eligible publications and performed a meta-analysis assessing the association of three commonly studied SNPs in TGFB1 (i.e., rs1800469, rs1800470 and rs1800471) with risk of late radiation-induced injury of normal tissue. Results We finally included 28 case-only studies from 16 publications on aforementioned SNPs in TGFB1. However, we did not find statistical evidence of any significant association with overall risk of late radiotherapy toxicity in the pooled analysis or in further stratified analysis by cancer type, endpoint, ethnicity and sample size. Conclusions This meta-analysis did not find statistical evidence for an association between SNPs in TGFB1 and risk of late radiation-induced injury of normal tissue, but this finding needs further confirmation by a single large study.
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Affiliation(s)
- Mei-Ling Zhu
- Department of Oncology, Xin Hua Hospital affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - MengYun Wang
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ting-Yan Shi
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qiao-Xin Li
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Pan Xi
- Department of Oncology, Xin Hua Hospital affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kai-Qin Xia
- Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Leizhen Zheng
- Department of Oncology, Xin Hua Hospital affiliated To Shanghai Jiaotong University School of Medicine, Shanghai, China
- * E-mail: (LZ); (QWY)
| | - Qing-Yi Wei
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
- Department of Epidemiology, the University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
- * E-mail: (LZ); (QWY)
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Chua M, Rothkamm K. Biomarkers of Radiation Exposure: Can They Predict Normal Tissue Radiosensitivity? Clin Oncol (R Coll Radiol) 2013; 25:610-6. [DOI: 10.1016/j.clon.2013.06.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Revised: 04/23/2013] [Accepted: 06/26/2013] [Indexed: 11/29/2022]
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Genome-wide association study in breast cancer survivors reveals SNPs associated with gene expression of genes belonging to MHC class I and II. Genomics 2013; 102:278-87. [DOI: 10.1016/j.ygeno.2013.07.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Revised: 06/30/2013] [Accepted: 07/12/2013] [Indexed: 11/18/2022]
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Baumann M, Bodis S, Dikomey E, van der Kogel A, Overgaard J, Rodemann HP, Wouters B. Molecular radiation biology/oncology at its best: Cutting edge research presented at the 13th International Wolfsberg Meeting on Molecular Radiation Biology/Oncology. Radiother Oncol 2013; 108:357-61. [DOI: 10.1016/j.radonc.2013.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Accepted: 10/02/2013] [Indexed: 10/26/2022]
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Zhai XM, Hu QC, Gu K, Wang JP, Zhang JN, Wu YW. Significance of XRCC1 Codon399 polymorphisms in Chinese patients with locally advanced nasopharyngeal carcinoma treated with radiation therapy. Asia Pac J Clin Oncol 2013; 12:e125-32. [PMID: 23910235 DOI: 10.1111/ajco.12117] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIM Little is known about the relationship between XRCC1 Codon399 polymorphisms and radiotherapy (RT) outcomes in patients with nasopharyngeal carcinoma (NPC). We aimed to investigate whether XRCC1 Codon399 polymorphisms were correlated to treatment efficacy and normal tissue toxicity in Chinese patients with locally advanced NPC after RT. METHODS Sixty eligible patients with NPC stage III-IVa were recruited. Patients received definitive RT, 66-76 Gy. One cycle neoadjuvant chemotherapy with docetaxel and cisplatin regimen was used before RT, two or three cycles for concurrent chemo-RT followed by two to four cycles adjuvant chemotherapy with the same regimen. Before the treatment, XRCC1 Codon399 polymorphisms were determined by polymerase chain reaction based ligase detection reaction methods. RESULTS Six of 60 NPC patients were homozygous for XRCC1 Codon399 Gln/Gln and 35% were heterozygous. The expressions of genotypes were unrelated to gender, age, clinical stage, T stage or N stage. Codon399 Gln/Gln allele correlated with a higher medium-term tumor regression ratio after RT for primary nasopharyngeal neoplasm and metastatic lymph nodes (>80% vs 40-60%, P < 0.01). Compared with other two genotypes, patients with XRCC1 Codon399 Gln/Gln allele were more likely to obtain complete remission of tumor (100% vs 76 and 67%, P > 0.05). No correlation between XRCC1 Codon399 polymorphisms and acute or late radiation-induced injury of normal tissues was observed. CONCLUSIONS The XRCC1 Codon399 Gln/Gln allele may be associated with better tumor regression, and is suggested as a promising predictive factor for outcome for locally advanced NPC. Further study with larger samples and long-time follow-up is needed for accurate assessment.
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Affiliation(s)
- Xiao-Ming Zhai
- Department of Radiation Oncology, The first Affiliated Hospital of Soochow University, Suzhou, China.,School of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou, China
| | - Qun-Chao Hu
- Department of Radiation Oncology, Suzhou Municipal Hospital (East Branch), Suzhou, China
| | - Ke Gu
- Department of Radiation Oncology, Suzhou Municipal Hospital (East Branch), Suzhou, China
| | - Jian-Ping Wang
- Department of Radiation Oncology, The first Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun-Ning Zhang
- Department of Radiation Oncology, The first Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi-Wei Wu
- Department of Radiation Oncology, The first Affiliated Hospital of Soochow University, Suzhou, China.,Department of Nuclear Medicine, The first Affiliated Hospital of Soochow University, Suzhou, China
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Alsbeih G, El-Sebaie M, Al-Harbi N, Al-Hadyan K, Shoukri M, Al-Rajhi N. SNPs in genes implicated in radiation response are associated with radiotoxicity and evoke roles as predictive and prognostic biomarkers. Radiat Oncol 2013; 8:125. [PMID: 23697595 PMCID: PMC3679989 DOI: 10.1186/1748-717x-8-125] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2013] [Accepted: 05/14/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Biomarkers are needed to individualize cancer radiation treatment. Therefore, we have investigated the association between various risk factors, including single nucleotide polymorphisms (SNPs) in candidate genes and late complications to radiotherapy in our nasopharyngeal cancer patients. METHODS A cohort of 155 patients was included. Normal tissue fibrosis was scored using RTOG/EORTC grading system. A total of 45 SNPs in 11 candidate genes (ATM, XRCC1, XRCC3, XRCC4, XRCC5, PRKDC, LIG4, TP53, HDM2, CDKN1A, TGFB1) were genotyped by direct genomic DNA sequencing. Patients with severe fibrosis (cases, G3-4, n = 48) were compared to controls (G0-2, n = 107). RESULTS Univariate analysis showed significant association (P < 0.05) with radiation complications for 6 SNPs (ATM G/A rs1801516, HDM2 promoter T/G rs2279744 and T/A rs1196333, XRCC1 G/A rs25487, XRCC5 T/C rs1051677 and TGFB1 C/T rs1800469). In addition, Kaplan-Meier analyses have also highlighted significant association between genotypes and length of patients' follow-up after radiotherapy. Multivariate logistic regression has further sustained these results suggesting predictive and prognostic roles of SNPs. CONCLUSIONS Univariate and multivariate analysis suggest that radiation toxicity in radiotherapy patients are associated with certain SNPs, in genes including HDM2 promoter studied for the 1st time. These results support the use of SNPs as genetic predictive markers for clinical radiosensitivity and evoke a prognostic role for length of patients' follow-up after radiotherapy.
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Affiliation(s)
- Ghazi Alsbeih
- Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
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SNP in TXNRD2 associated with radiation-induced fibrosis: a study of genetic variation in reactive oxygen species metabolism and signaling. Int J Radiat Oncol Biol Phys 2013; 86:791-9. [PMID: 23597419 DOI: 10.1016/j.ijrobp.2013.02.025] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2012] [Revised: 02/12/2013] [Accepted: 02/19/2013] [Indexed: 11/23/2022]
Abstract
PURPOSE The aim of the study was to identify noninvasive markers of treatment-induced side effects. Reactive oxygen species (ROS) are generated after irradiation, and genetic variation in genes related to ROS metabolism might influence the level of radiation-induced adverse effects (AEs). METHODS AND MATERIALS 92 breast cancer (BC) survivors previously treated with hypofractionated radiation therapy were assessed for the AEs subcutaneous atrophy and fibrosis, costal fractures, lung fibrosis, pleural thickening, and telangiectasias (median follow-up time 17.1 years). Single-nucleotide polymorphisms (SNPs) in 203 genes were analyzed for association to AE grade. SNPs associated with subcutaneous fibrosis were validated in an independent BC survivor material (n=283). The influence of the studied genetic variation on messenger ribonucleic acid (mRNA) expression level of 18 genes previously associated with fibrosis was assessed in fibroblast cell lines from BC patients. RESULTS Subcutaneous fibrosis and atrophy had the highest correlation (r=0.76) of all assessed AEs. The nonsynonymous SNP rs1139793 in TXNRD2 was associated with grade of subcutaneous fibrosis, the reference T-allele being more prevalent in the group experiencing severe levels of fibrosis. This was confirmed in another sample cohort of 283 BC survivors, and rs1139793 was found significantly associated with mRNA expression level of TXNRD2 in blood. Genetic variation in 24 ROS-related genes, including EGFR, CENPE, APEX1, and GSTP1, was associated with mRNA expression of 14 genes previously linked to fibrosis (P≤.005). CONCLUSION Development of subcutaneous fibrosis can be associated with genetic variation in the mitochondrial enzyme TXNRD2, critically involved in removal of ROS, and maintenance of the intracellular redox balance.
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