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Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients

Andreassen, Christian Nicolaj; Rosenstein, Barry S; Kerns, Sarah L; Ostrer, Harry; De Ruysscher, Dirk; Cesaretti, Jamie A; Barnett, Gillian C; Dunning, Alison M; Dorling, Leila; West, Catharine M L; Burnet, Neil G; Elliott, Rebecca; Coles, Charlotte; Hall, Emma; Fachal, Laura; Vega, Ana; Gómez-Caamaño, Antonio; Talbot, Christopher J; Symonds, R Paul; De Ruyck, Kim; Thierens, Hubert; Ost, Piet; Chang-Claude, Jenny; Seibold, Petra; Popanda, Odilia; Overgaard, Marie; Dearnaley, David; Sydes, Matthew R; Azria, David; Koch, Christine Anne; Parliament, Matthew; Blackshaw, Michael; Sia, Michael; Fuentes-Raspall, Maria J; Ramon Y Cajal, Teresa; Barnadas, Agustin; Vesprini, Danny; Gutiérrez-Enríquez, Sara; Mollà, Meritxell; Díez, Orland; Yarnold, John R; Overgaard, Jens; Bentzen, Søren M; Alsner, Jan
PURPOSE:Several small studies have indicated that the ATM rs1801516 SNP is associated with risk of normal tissue toxicity after radiotherapy. However, the findings have not been consistent. In order to test this SNP in a well-powered study, an individual patient data meta-analysis was carried out by the International Radiogenomics Consortium. MATERIALS AND METHODS:The analysis included 5456 patients from 17 different cohorts. 2759 patients were given radiotherapy for breast cancer and 2697 for prostate cancer. Eight toxicity scores (overall toxicity, acute toxicity, late toxicity, acute skin toxicity, acute rectal toxicity, telangiectasia, fibrosis and late rectal toxicity) were analyzed. Adjustments were made for treatment and patient related factors with potential impact on the risk of toxicity. RESULTS:For all endpoints except late rectal toxicity, a significantly increased risk of toxicity was found for carriers of the minor (Asn) allele with odds ratios of approximately 1.5 for acute toxicity and 1.2 for late toxicity. The results were consistent with a co-dominant pattern of inheritance. CONCLUSION:This study convincingly showed a significant association between the ATM rs1801516 Asn allele and increased risk of radiation-induced normal tissue toxicity.
PMCID:5559879
PMID: 27443449
ISSN: 1879-0887
CID: 3099052

Radiogenomics: A systems biology approach to understanding genetic risk factors for radiotherapy toxicity?

Herskind, Carsten; Talbot, Christopher J; Kerns, Sarah L; Veldwijk, Marlon R; Rosenstein, Barry S; West, Catharine M L
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.
PMCID:5016239
PMID: 26944314
ISSN: 1872-7980
CID: 2009522

Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer

Kerns, Sarah L; Dorling, Leila; Fachal, Laura; Bentzen, Soren; Pharoah, Paul D P; Barnes, Daniel R; Gomez-Caamano, Antonio; Carballo, Ana M; Dearnaley, David P; Peleteiro, Paula; Gulliford, Sarah L; Hall, Emma; Michailidou, Kyriaki; Carracedo, Angel; Sia, Michael; Stock, Richard; Stone, Nelson N; Sydes, Matthew R; Tyrer, Jonathan P; Ahmed, Shahana; Parliament, Matthew; Ostrer, Harry; Rosenstein, Barry S; Vega, Ana; Burnet, Neil G; Dunning, Alison M; Barnett, Gillian C; West, Catharine M L
Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity) and single nucleotide polymorphism (SNP) associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08-4.69, p-value 4.16x10-8) and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90-3.86, p-value=3.21x10-8). These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.
PMCID:5036513
PMID: 27515689
ISSN: 2352-3964
CID: 2219112

How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Rosenstein, Barry S; Capala, Jacek; Efstathiou, Jason A; Hammerbacher, Jeff; Kerns, Sarah L; Kong, Feng-Ming Spring; Ostrer, Harry; Prior, Fred W; Vikram, Bhadrasain; Wong, John; Xiao, Ying
PMCID:4864183
PMID: 26797542
ISSN: 1879-355x
CID: 1922282

Prospective Randomized Trial of Prone Accelerated Intensity Modulated Breast Radiation Therapy With a Daily Versus Weekly Boost to the Tumor Bed

Cooper, Benjamin T; Formenti-Ujlaki, George F; Li, Xiaochun; Shin, Samuel M; Fenton-Kerimian, Maria; Guth, Amber; Roses, Daniel F; Hitchen, Christine J; Rosenstein, Barry S; Dewyngaert, J Keith; Goldberg, Judith D; Formenti, Silvia C
PURPOSE: To report the results of a prospective randomized trial comparing a daily versus weekly boost to the tumor cavity during the course of accelerated radiation to the breast with patients in the prone position. METHODS AND MATERIALS: From 2009 to 2012, 400 patients with stage 0 to II breast cancer who had undergone segmental mastectomy participated in an institutional review board-approved trial testing prone breast radiation therapy to 40.5 Gy in 15 fractions 5 d/wk to the whole breast, after randomization to a concomitant daily boost to the tumor bed of 0.5 Gy, or a weekly boost of 2 Gy, on Friday. The present noninferiority trial tested the primary hypothesis that a weekly boost produced no more acute toxicity than did a daily boost. The recurrence-free survival was estimated for both treatment arms using the Kaplan-Meier method; the relative risk of recurrence or death was estimated, and the 2 arms were compared using the log-rank test. RESULTS: At a median follow-up period of 45 months, no deaths related to breast cancer had occurred. The weekly boost regimen produced no more grade >/=2 acute toxicity than did the daily boost regimen (8.1% vs 10.4%; noninferiority Z = -2.52; P=.006). No statistically significant difference was found in the cumulative incidence of long-term fibrosis or telangiectasia of grade >/=2 between the 2 arms (log-rank P=.923). Two local and two distant recurrences developed in the daily treatment arm and three local and one distant developed in the weekly arm. The 4-year recurrence-free survival rate was not different between the 2 treatment arms (98% for both arms). CONCLUSIONS: A tumor bed boost delivered either daily or weekly was tolerated similarly during accelerated prone breast radiation therapy, with excellent control of disease and comparable cosmetic results.
PMID: 27131077
ISSN: 1879-355x
CID: 2092722

Concurrent or sequential letrozole with adjuvant breast radiotherapy: final results of the CO-HO-RT phase II randomized trialdagger

Bourgier, C; Kerns, S; Gourgou, S; Lemanski, C; Gutowski, M; Fenoglietto, P; Romieu, G; Crompton, N; Lacombe, J; Pelegrin, A; Ozsahin, M; Rosenstein, B; Azria, D
BACKGROUND: We present here final clinical results of the COHORT trial and both translational sub-studies aiming at identifying patients at risk of radiation-induced subcutaneous fibrosis (RISF): (i) radiation-induced lymphocyte apoptosis (RILA) and (ii) candidates of certain single-nucleotide polymorphisms (SNPs). PATIENTS AND METHODS: Post-menopausal patients with stage I-II breast cancer (n = 150) were enrolled and assigned to either concurrent (arm A) or sequential radiotherapy (RT)-letrozole (arm B). Among them, 121 were eligible for RILA and SNP assays. Grade >/=2 RISF were the primary end point. Secondary end points were lung and heart events and carcinologic outcome. RILA was performed to predict differences in RISF between individuals. A genome-wide association study was performed to identify SNPs associated with RILA and RISF. Analyses were done by intention to treat. RESULTS: After a median follow-up of 74 months, 5 patients developed a grade >/=2 RISF. No significant difference was observed between arms A and B. Neither grade >/=2 lung nor symptomatic cardiac toxicity was observed. Median RILA value of the five patients who had grade >/=2 RISF was significantly lower compared with those who developed grade
PMCID:4907345
PMID: 26681684
ISSN: 1569-8041
CID: 2006012

The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention

Kerns, Sarah L; Kundu, Suman; Oh, Jung Hun; Singhal, Sandeep K; Janelsins, Michelle; Travis, Lois B; Deasy, Joseph O; Janssens, A Cecile J E; Ostrer, Harry; Parliament, Matthew; Usmani, Nawaid; Rosenstein, Barry S
Radiotherapy is a mainstay of cancer treatment, used in either a curative or palliative manner to treat approximately 50% of patients with cancer. Normal tissue toxicity limits the doses used in standard radiation therapy protocols and impedes improvements in radiotherapy efficacy. Damage to surrounding normal tissues can produce reactions ranging from bothersome symptoms that negatively affect quality of life to severe life-threatening complications. Improved ways of predicting, before treatment, the risk for development of normal tissue toxicity may allow for more personalized treatment and reduce the incidence and severity of late effects. There is increasing recognition that the cause of normal tissue toxicity is multifactorial and includes genetic factors in addition to radiation dose and volume of exposure, underlying comorbidities, age, concomitant chemotherapy or hormonal therapy, and use of other medications. An understanding of the specific genetic risk factors for normal tissue response to radiation has the potential to enhance our ability to predict adverse outcomes at the treatment-planning stage. Therefore, the field of radiogenomics has focused upon the identification of genetic variants associated with normal tissue toxicity resulting from radiotherapy. Innovative analytic methods are being applied to the discovery of risk variants and development of integrative predictive models that build on traditional normal tissue complication probability models by incorporating genetic information. Results from initial studies provide promising evidence that genetic-based risk models could play an important role in the implementation of precision medicine for radiation oncology through enhancing the ability to predict normal tissue reactions and thereby improve cancer treatment.
PMCID:4576690
PMID: 26384276
ISSN: 1532-9461
CID: 1779432

Radiogenomics: the search for genetic predictors of radiotherapy response

Kerns, Sarah L; L West, Catharine M; Andreassen, C Nicolaj; Barnett, Gillian C; Bentzen, Soren M; Burnet, Neil G; Dekker, Andre; Ruysscher, Dirk De; Dunning, Alison; Parliament, Matthew; Talbot, Chris; Vega, Ana; Rosenstein, Barry S
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.
PMID: 25525847
ISSN: 1479-6694
CID: 1436992

Radiogenomics: radiobiology enters the era of big data and team science [Editorial]

Rosenstein, Barry S; West, Catharine M; Bentzen, Soren M; Alsner, Jan; Andreassen, Christian Nicolaj; Azria, David; Barnett, Gillian C; Baumann, Michael; Burnet, Neil; Chang-Claude, Jenny; Chuang, Eric Y; Coles, Charlotte E; Dekker, Andre; De Ruyck, Kim; De Ruysscher, Dirk; Drumea, Karen; Dunning, Alison M; Easton, Douglas; Eeles, Rosalind; Fachal, Laura; Gutierrez-Enriquez, Sara; Haustermans, Karin; Henriquez-Hernandez, Luis Alberto; Imai, Takashi; Jones, George D D; Kerns, Sarah L; Liao, Zhongxing; Onel, Kenan; Ostrer, Harry; Parliament, Matthew; Pharoah, Paul D P; Rebbeck, Timothy R; Talbot, Christopher J; Thierens, Hubert; Vega, Ana; Witte, John S; Wong, Philip; Zenhausern, Frederic
PMCID:5119272
PMID: 24969789
ISSN: 0360-3016
CID: 1051352

Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy

Kerns, Sarah L; Ostrer, Harry; Rosenstein, Barry S
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.
PMCID:3946319
PMID: 24441285
ISSN: 2159-8274
CID: 800042