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He K, Zhang S, Pang J, Yin JC, Mu D, Wang J, Ge H, Ma J, Yang Z, Zheng X, Dong L, Zhang J, Chang P, Li L, Tang S, Bao H, Wu X, Wang X, Shao Y, Yu J, Yuan S. Genomic Profiling Reveals Novel Predictive Biomarkers for Chemo-Radiotherapy Efficacy and Thoracic Toxicity in Non-Small-Cell Lung Cancer. Front Oncol 2022; 12:928605. [PMID: 35912186 PMCID: PMC9329611 DOI: 10.3389/fonc.2022.928605] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/23/2022] [Indexed: 11/23/2022] Open
Abstract
Chemo-radiotherapy (CRT) remains the main treatment modality for non-small-cell lung cancer (NSCLC). However, its clinical efficacy is largely limited by individual variations in radio-sensitivity and radiotherapy-associated toxicity. There is an urgent need to identify genetic determinants that can explain patients’ likelihood to develop recurrence and radiotherapy-associated toxicity following CRT. In this study, we performed comprehensive genomic profiling, using a 474-cancer- and radiotherapy-related gene panel, on pretreatment biopsy samples from patients with unresectable stage III NSCLCs who underwent definitive CRT. Patients’ baseline clinical characteristics and genomic features, including tumor genetic, genomic and molecular pathway alterations, as well as single nucleotide polymorphisms (SNPs), were correlated with progression-free survival (PFS), overall survival (OS), and radiotherapy-associated pneumonitis and/or esophagitis development after CRT. A total of 122 patients were enrolled between 2014 and 2019, with 84 (69%) squamous cell carcinomas and 38 (31%) adenocarcinomas. Genetic analysis confirmed the association between the KEAP1-NRF2 pathway gene alterations and unfavorable survival outcome, and revealed alterations in FGFR family genes, MET, PTEN, and NOTCH2 as potential novel and independent risk factors of poor post-CRT survival. Combined analysis of such alterations led to improved stratification of the risk populations. In addition, patients with EGFR activating mutations or any oncogenic driver mutations exhibited improved OS. On the other hand, we also identified genetic markers in relation to radiotherapy-associated thoracic toxicity. SNPs in the DNA repair-associated XRCC5 (rs3835) and XRCC1 (rs25487) were associated with an increased risk of high-grade esophagitis and pneumonitis respectively. MTHFR (rs1801133) and NQO1 (rs1800566) were additional risk alleles related to higher susceptibility to pneumonitis and esophagitis overall. Moreover, through their roles in genome integrity and replicative fidelity, somatic alterations in ZNF217 and POLD1 might also serve as risk predictors of high-grade pneumonitis and esophagitis. Taken together, leveraging targeted next-generating sequencing, we identified a set of novel clinically applicable biomarkers that might enable prediction of survival outcomes and risk of radiotherapy-associated thoracic toxicities. Our findings highlight the value of pre-treatment genetic testing to better inform CRT outcomes and clinical actions in stage III unresectable NSCLCs.
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Affiliation(s)
- Kewen He
- Department of Radiation Oncology, Shandong University Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shaotong Zhang
- Department of Ultrasound, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jiaohui Pang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Jiani C. Yin
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Dianbin Mu
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jun Wang
- Department of Radiation Oncology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hong Ge
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Ma
- Department of Pathology, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhe Yang
- Department of Radiation Oncology, Shandong Provincial Hospital, Jinan, China
| | - Xiaoli Zheng
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Lihua Dong
- Department of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University, Jilin, China
| | - Junli Zhang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Pengyu Chang
- Department of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University, Jilin, China
| | - Li Li
- Department of Radiation Oncology, Shandong University Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shanshan Tang
- Department of Radiation Oncology, Shandong University Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Xue Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Xiaonan Wang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
- School of Public Health, Nanjing Medical University, Nanjing, China
- *Correspondence: Shuanghu Yuan, ; Jinming Yu, ; Yang Shao,
| | - Jinming Yu
- Department of Radiation Oncology, Shandong University Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Shuanghu Yuan, ; Jinming Yu, ; Yang Shao,
| | - Shuanghu Yuan
- Department of Radiation Oncology, Shandong University Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Shuanghu Yuan, ; Jinming Yu, ; Yang Shao,
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Yilmaz U, Koylu M, Savas R, Alanyali S. Imaging features of radiation-induced lung disease and its relationship with clinical and dosimetric factors in breast cancer patients. J Cancer Res Ther 2022; 19:S0. [PMID: 37147965 DOI: 10.4103/jcrt.jcrt_442_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Aim The aim is to extensively evaluate imaging features of radiation induced lung disease in breast cancer patients and to determine the relationship of imaging alterations with dosimetric parameters and patient related characteristics. Materials and Methods A total of 76 breast cancer patients undergoing radiotherapy (RT) were studied retrospectively by case notes, treatment plans, dosimetric parameters, and chest computed tomography (CT) scans. Time intervals, that chest CT scans were acquired, were grouped as 1-6 months, 7-12 months, 13-18 months and more than 18 months after RT. Chest CTs (one or more for each patient) were assessed for the presence of ground glass opacity, septal thickening, consolidation/patchy pulmonary opacity/alveolar infiltrates, subpleural air cyst, air bronchogram, parenchymal bands, traction bronchiectasis, pleural/subpleural thickening and pulmonary volume loss. These alterations were scored by applying a system devised by Nishioka et al. Nishioka scores were analyzed for the relationship with clinical and dosimetric factors. Statistical Analysis Used IBM SPSS Statistics for Windows, version 22.0 (IBM Corp., Armonk, N.Y., USA) was used to analyze data. Results Median follow-up time was 49 months. Advanced age and aromatase inhibitor intake were correlated with higher Nishioka scores for 1-6 months' period. However, both were found nonsignificant in multivariate analysis. Nishioka scores of CT scans acquired more than 12 months after RT were positively correlated with mean lung dose, V5, V20, V30, and V40. Receiver operating characteristic analysis revealed that V5 for ipsilateral lung was the most robust dosimetric parameter predicting chronic lung injury. V5 >41% indicates the development of radiological lung changes. Conclusions Keeping V5 ≤41% for ipsilateral lung could provide avoiding chronic lung sequelae.
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Li L, Tang S, Yin JC, Dong L, Yang Z, Liu Y, Ma J, Chang P, Pang J, Bao H, Mu D, Zheng X, Aishajiang R, He K, Zhang S, Ni M, Wu X, Wang X, Shao Y, Wang J, Ge H, Yu J, Yuan S. Comprehensive next-generation sequencing reveals novel predictive biomarkers of recurrence and thoracic toxicity risks following chemoradiotherapy in limited stage small-cell lung cancer. Int J Radiat Oncol Biol Phys 2021; 112:1165-1176. [DOI: 10.1016/j.ijrobp.2021.12.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/16/2021] [Accepted: 12/08/2021] [Indexed: 12/01/2022]
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Guhlich M, Hubert L, Mergler CPN, Rave-Fraenk M, Dröge LH, Leu M, Schmidberger H, Rieken S, Hille A, Schirmer MA. Identification of Risk Loci for Radiotoxicity in Prostate Cancer by Comprehensive Genotyping of TGFB1 and TGFBR1. Cancers (Basel) 2021; 13:cancers13215585. [PMID: 34771749 PMCID: PMC8582951 DOI: 10.3390/cancers13215585] [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: 09/30/2021] [Revised: 11/02/2021] [Accepted: 11/04/2021] [Indexed: 11/16/2022] Open
Abstract
Genetic variability in transforming growth factor beta pathway (TGFB) was suggested to affect adverse events of radiotherapy. We investigated comprehensive variability in TGFB1 (gene coding for TGFβ1 ligand) and TGFBR1 (TGFβ receptor-1) in relation to radiotoxicity. Prostate cancer patients treated with primary radiotherapy (n = 240) were surveyed for acute and late toxicity. Germline polymorphisms (n = 40) selected to cover the common genetic variability in TGFB1 and TGFBR1 were analyzed in peripheral blood cells. Human lymphoblastoid cell lines (LCLs) were used to evaluate a possible impact of TGFB1 and TGFBR1 genetic polymorphisms to DNA repair capacity following single irradiation with 3 Gy. Upon adjustment for multiplicity testing, rs10512263 in TGFBR1 showed a statistically significant association with acute radiation toxicity. Carriers of the Cytosine (C)-variant allele (n = 35) featured a risk ratio of 2.17 (95%-CI 1.41-3.31) for acute toxicity ≥ °2 compared to Thymine/Thymine (TT)-wild type individuals (n = 205). Reduced DNA repair capacity in the presence of the C-allele of rs10512263 might be a mechanistic explanation as demonstrated in LCLs following irradiation. The risk for late radiotoxicity was increased by carrying at least two risk genotypes at three polymorphic sites, including Leu10Pro in TGFB1. Via comprehensive genotyping of TGFB1 and TGFBR1, promising biomarkers for radiotoxicity in prostate cancer were identified.
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Affiliation(s)
- Manuel Guhlich
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Laura Hubert
- Institute of Clinical Pharmacology, University Medical Center Göttingen, 37075 Göttingen, Germany; (L.H.); (C.P.N.M.)
| | | | - Margret Rave-Fraenk
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Leif Hendrik Dröge
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Martin Leu
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Heinz Schmidberger
- Department of Radiation Oncology, University Medical Center of the Johannes Gutenberg University, 55131 Mainz, Germany;
| | - Stefan Rieken
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Andrea Hille
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
| | - Markus Anton Schirmer
- Clinic of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; (M.G.); (M.R.-F.); (L.H.D.); (M.L.); (S.R.); (A.H.)
- Institute of Clinical Pharmacology, University Medical Center Göttingen, 37075 Göttingen, Germany; (L.H.); (C.P.N.M.)
- Correspondence: ; Tel.: +49-551-39-64505
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Chargari C, Supiot S, Hennequin C, Chapel A, Simon JM. [Treatment of radiation-induced late effects: What's new?]. Cancer Radiother 2020; 24:602-611. [PMID: 32855027 DOI: 10.1016/j.canrad.2020.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 05/29/2020] [Accepted: 06/07/2020] [Indexed: 02/06/2023]
Abstract
Mechanisms of late radio-induced lesions are the result of multiple and complex phenomena, with many entangled cellular and tissue factors. The biological continuum between acute and late radio-induced effects will be described, with firstly a break in homeostasis that leads to cellular redistributions. New insights into late toxicity will finally be addressed. Individual radiosensitivity is a primary factor for the development of late toxicity, and clinicians urgently need predictive tests to offer truly personalized radiation therapy. An update will be made on the various functional and genetic tests currently being validated. The management of radio-induced side effects remains a frequent issue for radiation oncologists, and an update will be made for certain specific clinical situations. Finally, an innovative management for patients with significant side effects after pelvic radiotherapy will be developed, involved mesenchymal stem cell transplantation, with the presentation of the "PRISME" protocol currently open to patients recruitment.
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Affiliation(s)
- C Chargari
- Département de radiothérapie, Gustave-Roussy Cancer Campus, 114, rue Édouard-Vaillant, 94800 Villejuif France
| | - S Supiot
- Département d'oncologie radiothérapie, institut de cancérologie de l'ouest - centre René-Gauducheau, boulevard Jacques-Monod, 44805 Saint-Herblain cedex, France; Institut de recherche en santé de l'université de Nantes, université de Nantes, 8, quai Moncousu, BP 70721, 44007 Nantes cedex 1, France; Inserm, U1232 Centre de recherche en cancérologie et immunologie de Nantes - Angers (CRCINA), 8, quai Moncousu, BP 70721, 44007 Nantes cedex 1, France; CNRS, ERL 6001, 8, quai Moncousu, BP 70721, 44007 Nantes cedex 1, France
| | - C Hennequin
- Service de cancérologie-radiothérapie, hôpital Saint-Louis, 1, avenue Claude-Vellefeaux, 75475 Paris, France
| | - A Chapel
- Service de recherche en radiobiologie et en médecine régénérative, laboratoire de radiobiologie des expositions médicales, Institut de radioprotection et de sûreté nucléaire (IRSN), 31, avenue de la Division-Leclerc, 92260 Fontenay-aux-Roses, France
| | - J-M Simon
- Sorbonne université, 21, rue de l'École-de-Médecine, 75006 Paris, France; Service d'oncologie radiothérapie, hôpital Pitié-Salpêtrière, AP-HP, 47-83, boulevard de l'Hôpital, 75651 Paris cedex 13, France.
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Lee E, Eum SY, Slifer SH, Martin ER, Takita C, Wright JL, Hines RB, Hu JJ. Association Between Polymorphisms in DNA Damage Repair Genes and Radiation Therapy-Induced Early Adverse Skin Reactions in a Breast Cancer Population: A Polygenic Risk Score Approach. Int J Radiat Oncol Biol Phys 2020; 106:948-957. [PMID: 32007367 DOI: 10.1016/j.ijrobp.2019.12.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 12/16/2019] [Accepted: 12/19/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE Genetic variations in DNA damage repair (DDR) genes may influence radiation therapy (RT)-induced acute normal tissue toxicity in patients with breast cancer. Identifying an individual or multiple single-nucleotide polymorphisms (SNPs) associated with RT-induced early adverse skin reactions (EASR) is critical for precision medicine in radiation oncology. METHODS AND MATERIALS At the completion of RT, EASR was assessed using the Oncology Nursing Society scale (0-6) in 416 patients with breast cancer, and Oncology Nursing Society score ≥4 was considered RT-induced EASR. PLINK set-based tests and subsequent individual SNP association analyses were conducted to identify genes and SNPs associated with EASR among the 53 DDR genes and 1968 SNPs. A weighted polygenic risk score (PRS) model was constructed to ascertain the association between the joint effect of risk alleles and EASR. RESULTS The study population consisted of 264 Hispanic whites, 86 blacks or African Americans, 55 non-Hispanic whites, and 11 others. A total of 115 patients (27.6%) developed EASR. Five genes (ATM, CHEK1, ERCC2, RAD51C, and TGFB1) were significantly associated with RT-induced EASR. Nine SNPs within these 5 genes were further identified: ATM rs61915066, CHEK1 rs11220184, RAD51C rs302877, rs405684, TBFB1 rs4803455, rs2241714, and ERCC2 rs60152947, rs10404465, rs1799786. In a multivariable-adjusted PRS model, patients in a higher quartile of PRS were more likely to develop EASR compared with patients in the lowest quartile (ORq2 vs.q1 = 1.94, 95% CI, 0.86-4.39; ORq3 vs.q1 = 3.46, 95% CI, 1.57-7.63; ORq4 vs.q1 = 8.64, 95% CI, 3.92-19.02; and Ptrend < .0001). CONCLUSIONS We newly identified the associations between 9 SNPs in ATM, CHEK1, RAD51C, TGFB1, and ERCC2 and RT-induced EASR. PRS modeling showed its potential in identifying populations at risk. Multiple SNPs in DDR genes may jointly contribute to interindividual variation in RT-induced EASR. Validation in an independent external cohort is required to determine the clinical significance of these predictive biomarkers.
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Affiliation(s)
- Eunkyung Lee
- Department of Health Sciences, University of Central Florida College of Health Professions and Sciences, Orlando, Florida.
| | - Sung Y Eum
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, Florida
| | - Susan H Slifer
- Center for Genetic Epidemiology and Statistical Genetics, John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Eden R Martin
- Dr. John T. Macdonald Department of Human Genetics, Center for Genetic Epidemiology and Statistical Genetics, John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Cristiane Takita
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida; Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida
| | - Jean L Wright
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Robert B Hines
- Department of Population Health Sciences, University of Central Florida College of Medicine, Orlando, Florida
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
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Giuranno L, Ient J, De Ruysscher D, Vooijs MA. Radiation-Induced Lung Injury (RILI). Front Oncol 2019; 9:877. [PMID: 31555602 PMCID: PMC6743286 DOI: 10.3389/fonc.2019.00877] [Citation(s) in RCA: 193] [Impact Index Per Article: 38.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 08/23/2019] [Indexed: 12/12/2022] Open
Abstract
Radiation pneumonitis (RP) and radiation fibrosis (RF) are two dose-limiting toxicities of radiotherapy (RT), especially for lung, and esophageal cancer. It occurs in 5-20% of patients and limits the maximum dose that can be delivered, reducing tumor control probability (TCP) and may lead to dyspnea, lung fibrosis, and impaired quality of life. Both physical and biological factors determine the normal tissue complication probability (NTCP) by Radiotherapy. A better understanding of the pathophysiological sequence of radiation-induced lung injury (RILI) and the intrinsic, environmental and treatment-related factors may aid in the prevention, and better management of radiation-induced lung damage. In this review, we summarize our current understanding of the pathological and molecular consequences of lung exposure to ionizing radiation, and pharmaceutical interventions that may be beneficial in the prevention or curtailment of RILI, and therefore enable a more durable therapeutic tumor response.
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Affiliation(s)
- Lorena Giuranno
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Jonathan Ient
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Dirk De Ruysscher
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
| | - Marc A Vooijs
- Department of Radiotherapy, GROW School for Oncology Maastricht University Medical Centre, Maastricht, Netherlands
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Zyla J, Kabacik S, O'Brien G, Wakil S, Al-Harbi N, Kaprio J, Badie C, Polanska J, Alsbeih G. Combining CDKN1A gene expression and genome-wide SNPs in a twin cohort to gain insight into the heritability of individual radiosensitivity. Funct Integr Genomics 2019; 19:575-585. [PMID: 30706161 PMCID: PMC6570669 DOI: 10.1007/s10142-019-00658-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/12/2018] [Accepted: 01/09/2019] [Indexed: 12/15/2022]
Abstract
Individual variability in response to radiation exposure is recognised and has often been reported as important in treatment planning. Despite many efforts to identify biomarkers allowing the identification of radiation sensitive patients, it is not yet possible to distinguish them with certainty before the beginning of the radiotherapy treatment. A comprehensive analysis of genome-wide single-nucleotide polymorphisms (SNPs) and a transcriptional response to ionising radiation exposure in twins have the potential to identify such an individual. In the present work, we investigated SNP profile and CDKN1A gene expression in blood T lymphocytes from 130 healthy Caucasians with a complex level of individual kinship (unrelated, mono- or dizygotic twins). It was found that genetic variation accounts for 66% (95% CI 37-82%) of CDKN1A transcriptional response to radiation exposure. We developed a novel integrative multi-kinship strategy allowing investigating the role of genome-wide polymorphisms in transcriptomic radiation response, and it revealed that rs205543 (ETV6 gene), rs2287505 and rs1263612 (KLF7 gene) are significantly associated with CDKN1A expression level. The functional analysis revealed that rs6974232 (RPA3 gene), involved in mismatch repair (p value = 9.68e-04) as well as in RNA repair (p value = 1.4e-03) might have an important role in that process. Two missense polymorphisms with possible deleterious effect in humans were identified: rs1133833 (AKIP1 gene) and rs17362588 (CCDC141 gene). In summary, the data presented here support the validity of this novel integrative data analysis strategy to provide insights into the identification of SNPs potentially influencing radiation sensitivity. Further investigations in radiation response research at the genomic level should be therefore continued to confirm these findings.
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Affiliation(s)
- Joanna Zyla
- Data Mining Division, Faculty of Automatic Control, Electronic and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland
| | - Sylwia Kabacik
- Cellular Biology Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, OX11 0RQ, UK
| | - Grainne O'Brien
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, OX11 0RQ, UK
| | - Salma Wakil
- Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Kingdom of Saudi Arabia
| | - Najla Al-Harbi
- Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Kingdom of Saudi Arabia
| | - Jaakko Kaprio
- Department of Public Health and Institute for Molecular Medicine FIMM, University of Helsinki, 00140, Helsinki, Finland
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, OX11 0RQ, UK
| | - Joanna Polanska
- Data Mining Division, Faculty of Automatic Control, Electronic and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland.
| | - Ghazi Alsbeih
- Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Kingdom of Saudi Arabia
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Zanusso C, Bortolus R, Dreussi E, Polesel J, Montico M, Cecchin E, Gagno S, Rizzolio F, Arcicasa M, Novara G, Toffoli G. Impact of DNA repair gene polymorphisms on the risk of biochemical recurrence after radiotherapy and overall survival in prostate cancer. Oncotarget 2017; 8:22863-22875. [PMID: 28206966 PMCID: PMC5410269 DOI: 10.18632/oncotarget.15282] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 01/27/2017] [Indexed: 12/16/2022] Open
Abstract
The identification of biomarkers of biochemical recurrence (BCR) in prostate cancer (PCa) patients undergoing radiotherapy (RT) represents an unanswered clinical issue. The primary aim of this study was the definition of new genetic prognostic biomarkers in DNA repair genes (DRGs), considering both BCR and overall survival (OS) as clinical end-points. The secondary aim was to explore the potential clinical impact of these genetic variants with the decision curve analysis (DCA) and the sensitivity analysis.We analyzed 22 germline polymorphisms in 14 DRGs on 542 Caucasian PCa patients treated with RT as primary therapy. Significant associations were further tested with a bootstrapping technique. According to our analyses, ERCC2-rs1799793 and EXO1-rs4149963 were significantly associated with BCR (p = 0.01 and p = 0.01, respectively). Moreover, MSH6-rs3136228 was associated with a worse OS (p = 0.04). Nonetheless, the DCA and the sensitivity analyses gave no ultimate response about the clinical impact of such variants.This study highlights the potential prognostic role of polymorphisms in DRGs for PCa, paving the way to the introduction of not invasive tools for the personalization of patients management. Nonetheless, other prospective studies are necessary to ultimately clarify the clinical impact of pharmacogenetics in PCa.
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Affiliation(s)
- Chiara Zanusso
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Roberto Bortolus
- Department of Radiation Oncology, National Cancer Institute, Aviano, PN, Italy
| | - Eva Dreussi
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Jerry Polesel
- Epidemiology and Biostatistics Unit, National Cancer Institute, Aviano, PN, Italy
| | - Marcella Montico
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Erika Cecchin
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Sara Gagno
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Flavio Rizzolio
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
| | - Mauro Arcicasa
- Department of Radiation Oncology, National Cancer Institute, Aviano, PN, Italy
| | - Giacomo Novara
- Department of Surgery, Oncology, and Gastroenterology, University of Padua, Padua, Italy
| | - Giuseppe Toffoli
- Experimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, PN, Italy
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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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Jelonek K, Pietrowska M, Widlak P. Systemic effects of ionizing radiation at the proteome and metabolome levels in the blood of cancer patients treated with radiotherapy: the influence of inflammation and radiation toxicity. Int J Radiat Biol 2017; 93:683-696. [PMID: 28281355 DOI: 10.1080/09553002.2017.1304590] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE Blood is the most common replacement tissue used to study systemic responses of organisms to different types of pathological conditions and environmental insults. Local irradiation during cancer radiotherapy induces whole body responses that can be observed at the blood proteome and metabolome levels. Hence, comparative blood proteomics and metabolomics are emerging approaches used in the discovery of radiation biomarkers. These techniques enable the simultaneous measurement of hundreds of molecules and the identification of sets of components that can discriminate different physiological states of the human body. Radiation-induced changes are affected by the dose and volume of irradiated tissues; hence, the molecular composition of blood is a hypothetical source of biomarkers for dose assessment and the prediction and monitoring of systemic responses to radiation. This review aims to provide a comprehensive overview on the available evidence regarding molecular responses to ionizing radiation detected at the level of the human blood proteome and metabolome. It focuses on patients exposed to radiation during cancer radiotherapy and emphasizes effects related to radiation-induced toxicity and inflammation. CONCLUSIONS Systemic responses to radiation detected at the blood proteome and metabolome levels are primarily related to the intensity of radiation-induced toxicity, including inflammatory responses. Thus, several inflammation-associated molecules can be used to monitor or even predict radiation-induced toxicity. However, these abundant molecular features have a rather limited applicability as universal biomarkers for dose assessment, reflecting the individual predisposition of the immune system and tissue-specific mechanisms involved in radiation-induced damage.
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Affiliation(s)
- Karol Jelonek
- a Center for Translational Research and Molecular Biology of Cancer , Maria Sklodowska-Curie Institute - Oncology Center Gliwice Branch , Gliwice , Poland
| | - Monika Pietrowska
- a Center for Translational Research and Molecular Biology of Cancer , Maria Sklodowska-Curie Institute - Oncology Center Gliwice Branch , Gliwice , Poland
| | - Piotr Widlak
- a Center for Translational Research and Molecular Biology of Cancer , Maria Sklodowska-Curie Institute - Oncology Center Gliwice Branch , Gliwice , Poland
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Srinivasan S, Clements JA, Batra J. Single nucleotide polymorphisms in clinics: Fantasy or reality for cancer? Crit Rev Clin Lab Sci 2015; 53:29-39. [DOI: 10.3109/10408363.2015.1075469] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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Marta GN, Murphy E, Chao S, Yu JS, Suh JH. The incidence of second brain tumors related to cranial irradiation. Expert Rev Anticancer Ther 2014; 15:295-304. [PMID: 25482749 DOI: 10.1586/14737140.2015.989839] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Secondary brain tumor (SBT) is a devastating complication of cranial irradiation (CI). We reviewed the literature to determine the incidence of SBT as related to specific radiation therapy (RT) treatment modalities. The relative risk of radiation-associated SBT after conventional and conformal RT is well established and ranges from 5.65 to 10.9; latent time to develop second tumor ranges from 5.8 to 22.4 years, depending on radiation dose and primary disease. Theories and dosimetric models suggest that intensity-modulated radiation therapy may result in an increased risk of SBT, but clinical evidence is limited. The incidence of stereotactic radiosurgery-related SBT is low. Initial data suggest that no increased risk from proton therapy and dosimetric models predict a lower incidence of SBT compared with photons. In conclusion, the incidence of SBT related to CI is low. Longer follow-up is needed to clarify the impact of intensity-modulated radiation therapy, proton therapy and other developing technologies.
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Affiliation(s)
- Gustavo Nader Marta
- Radiation Oncology Department, Hospital Sírio-Libanês, Rua Dona Adma Jafet 91., Sao Paulo, Sao Paulo 01308-050, Brazil
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Kerns SL, West CML, Andreassen CN, Barnett GC, Bentzen SM, Burnet NG, Dekker A, De Ruysscher D, Dunning A, Parliament M, Talbot C, Vega A, Rosenstein BS. Radiogenomics: the search for genetic predictors of radiotherapy response. Future Oncol 2014; 10:2391-406. [PMID: 25525847 DOI: 10.2217/fon.14.173] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
'Radiogenomics' is the study of genetic variation associated with response to radiotherapy. Radiogenomics aims to uncover the genes and biologic pathways responsible for radiotherapy toxicity that could be targeted with radioprotective agents and; identify genetic markers that can be used in risk prediction models in the clinic. The long-term goal of the field is to develop single nucleotide polymorphism-based risk models that can be used to stratify patients to more precisely tailored radiotherapy protocols. The field has evolved over the last two decades in parallel with advances in genomics, moving from narrowly focused candidate gene studies to large, collaborative genome-wide association studies. Several confirmed genetic variants have been identified and the field is making progress toward clinical translation.
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Affiliation(s)
- Sarah L Kerns
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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De Langhe S, Mulliez T, Veldeman L, Remouchamps V, van Greveling A, Gilsoul M, De Schepper E, De Ruyck K, De Neve W, Thierens H. Factors modifying the risk for developing acute skin toxicity after whole-breast intensity modulated radiotherapy. BMC Cancer 2014; 14:711. [PMID: 25252713 PMCID: PMC4192342 DOI: 10.1186/1471-2407-14-711] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2013] [Accepted: 09/18/2014] [Indexed: 11/29/2022] Open
Abstract
Background After breast-conserving radiation therapy most patients experience acute skin toxicity to some degree. This may impair patients’ quality of life, cause pain and discomfort. In this study, we investigated treatment and patient-related factors, including genetic polymorphisms, that can modify the risk for severe radiation-induced skin toxicity in breast cancer patients. Methods We studied 377 patients treated at Ghent University Hospital and at ST.-Elisabeth Clinic and Maternity in Namur, with adjuvant intensity modulated radiotherapy (IMRT) after breast-conserving surgery for breast cancer. Women were treated in a prone or supine position with normofractionated (25 × 2 Gy) or hypofractionated (15 × 2.67 Gy) IMRT alone or in combination with other adjuvant therapies. Patient- and treatment-related factors and genetic markers in regulatory regions of radioresponsive genes and in LIG3, MLH1 and XRCC3 genes were considered as variables. Acute dermatitis was scored using the CTCAEv3.0 scoring system. Desquamation was scored separately on a 3-point scale (0-none, 1-dry, 2-moist). Results Two-hundred and twenty patients (58%) developed G2+ dermatitis whereas moist desquamation occurred in 56 patients (15%). Normofractionation (both p < 0.001), high body mass index (BMI) (p = 0.003 and p < 0.001), bra cup size ≥ D (p = 0.001 and p = 0.043) and concurrent hormone therapy (p = 0.001 and p = 0.037) were significantly associated with occurrence of acute dermatitis and moist desquamation, respectively. Additional factors associated with an increased risk of acute dermatitis were the genetic variation in MLH1 rs1800734 (p=0.008), smoking during RT (p = 0.010) and supine IMRT (p = 0.004). Patients receiving trastuzumab showed decreased risk of acute dermatitis (p < 0.001). Conclusions The normofractionation schedule, supine IMRT, concomitant hormone treatment and patient related factors (high BMI, large breast, smoking during treatment and the genetic variation in MLH1 rs1800734) were associated with increased acute skin toxicity in patients receiving radiation therapy after breast-conserving surgery. Trastuzumab seemed to be protective.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Hubert Thierens
- Department of Basic Medical Sciences, Ghent University, Proeftuinstraat 86, 9000 Ghent, Belgium.
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Borghini A, Vecoli C, Mercuri A, Petruzzelli MF, D'Errico MP, Portaluri M, Andreassi MG. Genetic risk score and acute skin toxicity after breast radiation therapy. Cancer Biother Radiopharm 2014; 29:267-72. [PMID: 25099761 DOI: 10.1089/cbr.2014.1620] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Genetic predisposition has been shown to affect the severity of skin complications in breast cancer patients after radiotherapy. Limited data exist regarding the use of a genetic risk score (GRS) for predicting risk of tissue radiosensitivity. We evaluated the impact of different single-nucleotide polymorphisms (SNPs) in genes related to DNA repair mechanisms and oxidative stress response combined in a GRS on acute adverse effects induced by breast radiation therapy (RT). Skin toxicity was scored according to the Radiation Therapy Oncology Group (RTOG) criteria in 59 breast cancer patients who received RT. After genotyping, a multilocus GRS was constructed by summing the number of risk alleles. The hazard ratio (HR) for GSTM1 was 2.4 (95% confidence intervals [CI]=1.1-5.3, p=0.04). The other polymorphisms were associated to an increased adverse radiosensitivity, although they did not reach statistical significance. GRS predicted roughly 40% risk for acute skin toxicity per risk allele (HR 1.37, 95% CI=1.1-1.76, p<0.01). Patients in the top tertile had a fivefold higher risk of skin reaction (HR 5.1, 95% CI=1.2-22.8, p=0.03). Our findings demonstrate that the joint effect of SNPs from oxidative stress and DNA damage repair genes may be a promising approach to identify patients with a high risk of skin reaction after breast RT.
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Citrin D, Hudak K, Camphausen KA. Biomarkers to guide therapy or surveillance for prostate cancer. Biomark Med 2014; 7:827-9. [PMID: 24266815 DOI: 10.2217/bmm.13.123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Deborah Citrin
- Radiation Oncology Branch, Center for Cancer Research, 10 CRC, B2-3500, 10 Center Drive, Bethesda, MD 20892, USA.
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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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Kerns SL, Ostrer H, Rosenstein BS. Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy. Cancer Discov 2014; 4:155-65. [PMID: 24441285 DOI: 10.1158/2159-8290.cd-13-0197] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
UNLABELLED Normal-tissue adverse effects following radiotherapy are common and significantly affect quality of life. These effects cannot be accounted for by dosimetric, treatment, or demographic factors alone, and evidence suggests that common genetic variants are associated with radiotherapy adverse effects. The field of radiogenomics has evolved to identify such genetic risk factors. Radiogenomics has two goals: (i) to develop an assay to predict which patients with cancer are most likely to develop radiation injuries resulting from radiotherapy, and (ii) to obtain information about the molecular pathways responsible for radiation-induced normal-tissue toxicities. This review summarizes the history of the field and current research. SIGNIFICANCE A single-nucleotide polymorphism–based predictive assay could be used, along with clinical and treatment factors, to estimate the risk that a patient with cancer will develop adverse effects from radiotherapy. Such an assay could be used to personalize therapy and improve quality of life for patients with cancer.
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Affiliation(s)
- Sarah L Kerns
- Departments of 1Radiation Oncology and 2Dermatology, Preventive Medicine and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai; 3Department of Radiation Oncology, New York University School of Medicine, New York; Departments of 4Pathology, and 5Genetics and Pediatrics, Albert Einstein College of Medicine, Bronx, New York
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Kerns SL, de Ruysscher D, Andreassen CN, Azria D, Barnett GC, Chang-Claude J, Davidson S, Deasy JO, Dunning AM, Ostrer H, Rosenstein BS, West CML, Bentzen SM. STROGAR - STrengthening the Reporting Of Genetic Association studies in Radiogenomics. Radiother Oncol 2014; 110:182-8. [PMID: 23993398 PMCID: PMC4786020 DOI: 10.1016/j.radonc.2013.07.011] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2013] [Revised: 07/16/2013] [Accepted: 07/29/2013] [Indexed: 01/14/2023]
Abstract
Despite publication of numerous radiogenomics studies to date, positive single nucleotide polymorphism (SNP) associations have rarely been reproduced in independent validation studies. A major reason for these inconsistencies is a high number of false positive findings because no adjustments were made for multiple comparisons. It is also possible that some validation studies were false negatives due to methodological shortcomings or a failure to reproduce relevant details of the original study. Transparent reporting is needed to ensure these flaws do not hamper progress in radiogenomics. In response to the need for improving the quality of research in the area, the Radiogenomics Consortium produced an 18-item checklist for reporting radiogenomics studies. It is recognised that not all studies will have recorded all of the information included in the checklist. However, authors should report on all checklist items and acknowledge any missing information. Use of STROGAR guidelines will advance the field of radiogenomics by increasing the transparency and completeness of reporting.
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Affiliation(s)
- Sarah L Kerns
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, USA; Department of Pathology, Albert Einstein College of Medicine, New York, USA; Department of Genetics, Albert Einstein College of Medicine, New York, USA
| | - Dirk de Ruysscher
- Department of Radiation Oncology, University Hospitals Leuven/KU Leuven, Belgium
| | | | - David Azria
- Montpellier Cancer Institute, Montpellier University, France
| | - Gillian C Barnett
- Department of Oncology, Cambridge University Hospital NHS Foundation Trust, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan Davidson
- Department of Clinical Oncology, Christie NHS Foundation Trust Hospital, Manchester, UK
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA
| | | | - Harry Ostrer
- Department of Pathology, Albert Einstein College of Medicine, New York, USA; Department of Genetics, Albert Einstein College of Medicine, New York, USA
| | - Barry S Rosenstein
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, USA
| | | | - Søren M Bentzen
- Department of Human Oncology, University of Wisconsin, Madison, USA.
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Genome-wide association study identifies a region on chromosome 11q14.3 associated with late rectal bleeding following radiation therapy for prostate cancer. Radiother Oncol 2013; 107:372-6. [PMID: 23719583 DOI: 10.1016/j.radonc.2013.05.001] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Revised: 04/08/2013] [Accepted: 05/01/2013] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Rectal bleeding can occur following radiotherapy for prostate cancer and negatively impacts quality of life for cancer survivors. Treatment and clinical factors do not fully predict rectal bleeding, and genetic factors may be important. MATERIALS AND METHODS A genome-wide association study (GWAS) was performed to identify SNPs associated with the development of late rectal bleeding following radiotherapy for prostate cancer. Logistic regression was used to test the association between 614,453 SNPs and rectal bleeding in a discovery cohort (79 cases, 289 controls), and top-ranking SNPs were tested in a replication cohort (108 cases, 673 controls) from four independent sites. RESULTS rs7120482 and rs17630638, which tag a single locus on chromosome 11q14.3, reached genome-wide significance for association with rectal bleeding (combined p-values 5.4×10(-8) and 6.9×10(-7) respectively). Several other SNPs had p-values trending toward genome-wide significance, and a polygenic risk score including these SNPs shows a strong rank-correlation with rectal bleeding (Sommers' d=5.0×10(-12) in the replication cohort). CONCLUSIONS This GWAS identified novel genetic markers of rectal bleeding following prostate radiotherapy. These findings could lead to the development of a predictive assay to identify patients at risk for this adverse treatment outcome so that dose or treatment modality could be modified.
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Kerns SL, Stock R, Stone N, Buckstein M, Shao Y, Campbell C, Rath L, De Ruysscher D, Lammering G, Hixson R, Cesaretti J, Terk M, Ostrer H, Rosenstein BS. A 2-stage genome-wide association study to identify single nucleotide polymorphisms associated with development of erectile dysfunction following radiation therapy for prostate cancer. Int J Radiat Oncol Biol Phys 2012; 85:e21-8. [PMID: 23021708 DOI: 10.1016/j.ijrobp.2012.08.003] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Revised: 07/31/2012] [Accepted: 08/01/2012] [Indexed: 12/23/2022]
Abstract
PURPOSE To identify single nucleotide polymorphisms (SNPs) associated with development of erectile dysfunction (ED) among prostate cancer patients treated with radiation therapy. METHODS AND MATERIALS A 2-stage genome-wide association study was performed. Patients were split randomly into a stage I discovery cohort (132 cases, 103 controls) and a stage II replication cohort (128 cases, 102 controls). The discovery cohort was genotyped using Affymetrix 6.0 genome-wide arrays. The 940 top ranking SNPs selected from the discovery cohort were genotyped in the replication cohort using Illumina iSelect custom SNP arrays. RESULTS Twelve SNPs identified in the discovery cohort and validated in the replication cohort were associated with development of ED following radiation therapy (Fisher combined P values 2.1×10(-5) to 6.2×10(-4)). Notably, these 12 SNPs lie in or near genes involved in erectile function or other normal cellular functions (adhesion and signaling) rather than DNA damage repair. In a multivariable model including nongenetic risk factors, the odds ratios for these SNPs ranged from 1.6 to 5.6 in the pooled cohort. There was a striking relationship between the cumulative number of SNP risk alleles an individual possessed and ED status (Sommers' D P value=1.7×10(-29)). A 1-allele increase in cumulative SNP score increased the odds for developing ED by a factor of 2.2 (P value=2.1×10(-19)). The cumulative SNP score model had a sensitivity of 84% and specificity of 75% for prediction of developing ED at the radiation therapy planning stage. CONCLUSIONS This genome-wide association study identified a set of SNPs that are associated with development of ED following radiation therapy. These candidate genetic predictors warrant more definitive validation in an independent cohort.
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Affiliation(s)
- Sarah L Kerns
- Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York 10029, USA
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West CML, Dunning AM, Rosenstein BS. Genome-wide association studies and prediction of normal tissue toxicity. Semin Radiat Oncol 2012; 22:91-9. [PMID: 22385916 DOI: 10.1016/j.semradonc.2011.12.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Catharine M L West
- The University of Manchester, The Christie Foundation Trust, Withington, Manchester, UK.
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De Langhe S, De Ruyck K, Ost P, Fonteyne V, Werbrouck J, De Meerleer G, De Neve W, Thierens H. Acute radiation-induced nocturia in prostate cancer patients is associated with pretreatment symptoms, radical prostatectomy, and genetic markers in the TGFβ1 gene. Int J Radiat Oncol Biol Phys 2012; 85:393-9. [PMID: 22658438 DOI: 10.1016/j.ijrobp.2012.02.061] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2011] [Revised: 04/02/2012] [Accepted: 02/17/2012] [Indexed: 10/27/2022]
Abstract
PURPOSE After radiation therapy for prostate cancer, approximately 50% of the patients experience acute genitourinary symptoms, mostly nocturia. This may be highly bothersome with a major impact on the patient's quality of life. In the past, nocturia is seldom reported as a single, physiologically distinct endpoint, and little is known about its etiology. It is assumed that in addition to dose-volume parameters and patient- and therapy-related factors, a genetic component contributes to the development of radiation-induced damage. In this study, we investigated the association among dosimetric, clinical, and TGFβ1 polymorphisms and the development of acute radiation-induced nocturia in prostate cancer patients. METHODS AND MATERIALS Data were available for 322 prostate cancer patients treated with primary or postoperative intensity modulated radiation therapy (IMRT). Five genetic markers in the TGFβ1 gene (-800 G>A, -509 C>T, codon 10 T>C, codon 25 G>C, g.10780 T>G), and a high number of clinical and dosimetric parameters were considered. Toxicity was scored using an symptom scale developed in-house. RESULTS Radical prostatectomy (P<.001) and the presence of pretreatment nocturia (P<.001) are significantly associated with the occurrence of radiation-induced acute toxicity. The -509 CT/TT (P=.010) and codon 10 TC/CC (P=.005) genotypes are significantly associated with an increased risk for radiation-induced acute nocturia. CONCLUSIONS Radical prostatectomy, the presence of pretreatment nocturia symptoms, and the variant alleles of TGFβ1 -509 C>T and codon 10 T>C are identified as factors involved in the development of acute radiation-induced nocturia. These findings may contribute to the research on prediction of late nocturia after IMRT for prostate cancer.
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Affiliation(s)
- Sofie De Langhe
- Department of Basic Medical Sciences, Ghent University, Gent, Belgium.
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Falvo E, Strigari L, Citro G, Giordano C, Boboc G, Fabretti F, Bruzzaniti V, Bellesi L, Muti P, Blandino G, Pinnarò P. SNPs in DNA repair or oxidative stress genes and late subcutaneous fibrosis in patients following single shot partial breast irradiation. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2012; 31:7. [PMID: 22272830 PMCID: PMC3285050 DOI: 10.1186/1756-9966-31-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2011] [Accepted: 01/24/2012] [Indexed: 11/10/2022]
Abstract
Background The aim of this study was to evaluate the potential association between single nucleotide polymorphisms related response to radiotherapy injury, such as genes related to DNA repair or enzymes involved in anti-oxidative activities. The paper aims to identify marker genes able to predict an increased risk of late toxicity studying our group of patients who underwent a Single Shot 3D-CRT PBI (SSPBI) after BCS (breast conserving surgery). Methods A total of 57 breast cancer patients who underwent SSPBI were genotyped for SNPs (single nucleotide polymorphisms) in XRCC1, XRCC3, GST and RAD51 by Pyrosequencing technology. Univariate analysis (ORs and 95% CI) was performed to correlate SNPs with the risk of developing ≥ G2 fibrosis or fat necrosis. Results A higher significant risk of developing ≥ G2 fibrosis or fat necrosis in patients with: polymorphic variant GSTP1 (Ile105Val) (OR = 2.9; 95%CI, 0.88-10.14, p = 0.047). Conclusions The presence of some SNPs involved in DNA repair or response to oxidative stress seem to be able to predict late toxicity. Trial Registration ClinicalTrials.gov: NCT01316328
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Affiliation(s)
- Elisabetta Falvo
- Laboratory of Pharmacokinetic/Pharmacogenomic, Regina Elena National Cancer Institute, Rome, Italy.
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Mozdarani H. Biological complexities in radiation carcinogenesis and cancer radiotherapy: impact of new biological paradigms. Genes (Basel) 2012; 3:90-114. [PMID: 24704845 PMCID: PMC3899963 DOI: 10.3390/genes3010090] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2011] [Revised: 01/07/2012] [Accepted: 01/13/2012] [Indexed: 12/31/2022] Open
Abstract
Although radiation carcinogenesis has been shown both experimentally and epidemiologically, the use of ionizing radiation is also one of the major modalities in cancer treatment. Various known cellular and molecular events are involved in carcinogenesis. Apart from the known phenomena, there could be implications for carcinogenesis and cancer prevention due to other biological processes such as the bystander effect, the abscopal effect, intrinsic radiosensitivity and radioadaptation. Bystander effects have consequences for mutation initiated cancer paradigms of radiation carcinogenesis, which provide the mechanistic justification for low-dose risk estimates. The abscopal effect is potentially important for tumor control and is mediated through cytokines and/or the immune system (mainly cell-mediated immunity). It results from loss of growth and stimulatory and/or immunosuppressive factors from the tumor. Intrinsic radiosensitivity is a feature of some cancer prone chromosomal breakage syndromes such as ataxia telangectiasia. Radiosensitivity is manifested as higher chromosomal aberrations and DNA repair impairment is now known as a good biomarker for breast cancer screening and prediction of prognosis. However, it is not yet known whether this effect is good or bad for those receiving radiation or radiomimetic agents for treatment. Radiation hormesis is another major concern for carcinogenesis. This process which protects cells from higher doses of radiation or radio mimic chemicals, may lead to the escape of cells from mitotic death or apoptosis and put cells with a lower amount of damage into the process of cancer induction. Therefore, any of these biological phenomena could have impact on another process giving rise to genome instability of cells which are not in the field of radiation but still receiving a lower amount of radiation. For prevention of radiation induced carcinogenesis or risk assessment as well as for successful radiation therapy, all these phenomena should be taken into account.
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Affiliation(s)
- Hossein Mozdarani
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran P.O. Box 14115-111, Iran.
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Kelsey CR, Rosenstein BS, Marks LB. Predicting toxicity from radiation therapy--it's genetic, right? Cancer 2011; 118:3450-4. [PMID: 22144075 DOI: 10.1002/cncr.26670] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2011] [Revised: 09/28/2011] [Accepted: 09/29/2011] [Indexed: 12/25/2022]
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