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Nuijens AC, Oei AL, Koster L, Hoebe RA, Franken NAP, Rasch CRN, Stalpers LJA. Genetic markers of late radiation toxicity in the era of image-guided radiotherapy: lower toxicity rates reduce the predictive value of γ-H2AX foci decay ratio in patients undergoing pelvic radiotherapy. Radiat Oncol 2024; 19:116. [PMID: 39223539 PMCID: PMC11370123 DOI: 10.1186/s13014-024-02501-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/01/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND A predictive assay for late radiation toxicity would allow more personalized treatment planning, reducing the burden of toxicity for the more sensitive minority, and improving the therapeutic index for the majority. In a previous study in prostate cancer patients, the γ-H2AX foci decay ratio (γ-FDR) was the strongest predictor of late radiation toxicity. The current study aimed to validate this finding in a more varied group of patients with pelvic cancer. Additionally, the potential correlation between the γ-FDR and patient-reported outcomes was investigated. METHODS Prostate and gynecological cancer patients with ≥ 24 months of follow-up were included in the current analysis. Toxicity was evaluated by physician (CTCAE version 4) and patient (EORTC questionnaires). γ-FDRs were determined in ex vivo irradiated lymphocytes. Correlation between γ-FDR and toxicity was assessed using both linear and logistic regression analyses. The highest toxicity grade recorded during follow-up was used. The association between global quality of life and γ-FDR was tested by comparing the change in quality of life over time in patients with γ-FDR < or ≥ 3.41, a previously established threshold. RESULTS Eighty-eight patients were included. Physician-assessed and patient-reported cumulative grade ≥ 2 toxicity was 25% and 29%, respectively; which is much lower than in the previous cohort (i.e., 51% CTCAE grade ≥ 2). Patients with toxicity exhibited less favorable dose-volume parameters. In men, these parameters showed significant improvement compared to the previous cohort. The proportion of patients with a low γ-FDR increased with severity of toxicity, but this trend was not statistically significant. In addition, a γ-FDR < 3.41 was not correlated with the development of moderate to severe toxicity. Post-treatment decline in global quality of life was minimal, and similar for patients with γ-FDR < or ≥ 3.41. CONCLUSIONS In the present study, the γ-H2AX foci decay ratio could not be validated as a predictor of late radiation toxicity in patients with pelvic cancer. Improved radiotherapy techniques with smaller irradiated bladder and bowel volumes have probably resulted in less toxicities. Future studies on genetic markers of toxicity should be powered on these lower incidences. We further recommend taking persistency, next to severity, into consideration.
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Affiliation(s)
- Anna C Nuijens
- Department of Radiation Oncology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arlene L Oei
- Department of Radiation Oncology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
| | - Lisa Koster
- Department of Radiation Oncology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Ron A Hoebe
- Department of Medical Biology and Core Facility Cellular Imaging, Van Leeuwenhoek Centre for Advanced Microscopy-Academic Medical Center (LCAM-AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Nicolaas A P Franken
- Department of Radiation Oncology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands
| | - Coen R N Rasch
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lukas J A Stalpers
- Department of Radiation Oncology, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
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Hall WA, Parker C. Counterpoint: The Perplexing Prevalence of Hydrogel Spacer Devices: We Simply Don't Need Them. Int J Radiat Oncol Biol Phys 2024; 120:36-37. [PMID: 39147439 DOI: 10.1016/j.ijrobp.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/03/2024] [Indexed: 08/17/2024]
Affiliation(s)
| | - Chris Parker
- Medical College of Wisconsin, Milwaukee, Wisconsin; Institute of Cancer Research, Royal Marsden NHS Foundation Trust, Sutton, UK
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de Lima MC, de Castro CC, Aguiar KEC, Monte N, da Costa Nunes GG, da Costa ACA, Rodrigues JCG, Guerreiro JF, Ribeiro-dos-Santos Â, de Assumpção PP, Burbano RMR, Fernandes MR, dos Santos SEB, dos Santos NPC. Molecular Profile of Important Genes for Radiogenomics in the Amazon Indigenous Population. J Pers Med 2024; 14:484. [PMID: 38793065 PMCID: PMC11122349 DOI: 10.3390/jpm14050484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/13/2024] [Accepted: 04/18/2024] [Indexed: 05/26/2024] Open
Abstract
Radiotherapy is focused on the tumor but also reaches healthy tissues, causing toxicities that are possibly related to genomic factors. In this context, radiogenomics can help reduce the toxicity, increase the effectiveness of radiotherapy, and personalize treatment. It is important to consider the genomic profiles of populations not yet studied in radiogenomics, such as the indigenous Amazonian population. Thus, our objective was to analyze important genes for radiogenomics, such as ATM, TGFB1, RAD51, AREG, XRCC4, CDK1, MEG3, PRKCE, TANC1, and KDR, in indigenous people and draw a radiogenomic profile of this population. The NextSeq 500® platform was used for sequencing reactions; for differences in the allelic frequency between populations, Fisher's Exact Test was used. We identified 39 variants, 2 of which were high impact: 1 in KDR (rs41452948) and another in XRCC4 (rs1805377). We found four modifying variants not yet described in the literature in PRKCE. We did not find any variants in TANC1-an important gene for personalized medicine in radiotherapy-that were associated with toxicities in previous cohorts, configuring a protective factor for indigenous people. We identified four SNVs (rs664143, rs1801516, rs1870377, rs1800470) that were associated with toxicity in previous studies. Knowing the radiogenomic profile of indigenous people can help personalize their radiotherapy.
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Affiliation(s)
- Milena Cardoso de Lima
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Cinthia Costa de Castro
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Kaio Evandro Cardoso Aguiar
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Natasha Monte
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Giovanna Gilioli da Costa Nunes
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Ana Caroline Alves da Costa
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Juliana Carla Gomes Rodrigues
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - João Farias Guerreiro
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
- Laboratory of Human and Medical Genetics, Federal University of Pará, Belém 66075-110, PA, Brazil;
| | | | - Paulo Pimentel de Assumpção
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Rommel Mario Rodríguez Burbano
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Marianne Rodrigues Fernandes
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
| | - Sidney Emanuel Batista dos Santos
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
- Laboratory of Human and Medical Genetics, Federal University of Pará, Belém 66075-110, PA, Brazil;
| | - Ney Pereira Carneiro dos Santos
- Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (M.C.d.L.); (C.C.d.C.); (K.E.C.A.); (N.M.); (G.G.d.C.N.); (A.C.A.d.C.); (J.C.G.R.); (J.F.G.); (P.P.d.A.); (R.M.R.B.); (M.R.F.)
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Sanguineti G, Pavarini M, Munoz F, Magli A, Cante D, Garibaldi E, Gebbia A, Noris Chiorda B, Girelli G, Villa E, Faiella A, Magdalena Waskiewicz J, Avuzzi B, Pastorino A, Moretti E, Rago L, Statuto T, Gatti M, Rancati T, Valdagni R, Luigi Vavassori V, Gisella Di Muzio N, Fiorino C, Cozzarini C. Worsening of 2-year patient-reported intestinal functionality after radiotherapy for prostate cancer including pelvic node irradiation. Radiother Oncol 2024; 192:110088. [PMID: 38199284 DOI: 10.1016/j.radonc.2024.110088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND AND PURPOSE To quantify patient-reported 2-year intestinal toxicity (IT) from pelvic nodal irradiation (PNI) for prostate cancer. The association between baseline/acute symptoms and 2-year worsening was investigated. MATERIALS AND METHODS Patient-reported IT was prospectively assessed through the Inflammatory Bowel Disease Questionnaire (IBDQ), filled in at baseline, radiotherapy mid-point and end, at 3 and 6 months and every 6 months until 5 years. Two-year deterioration of IBDQ scores relative to the Bowel Domain was investigated for 400 patients with no severe baseline symptoms and with questionnaires available at baseline, 2 years, RT mid-point and/or end and at least three follow-ups between 3 and 18 months. The significance of the 2-year differences from baseline was tested. The association between baseline values and ΔAcute (the worst decline between baseline and RT mid-point/end) was investigated. RESULTS In the IBDQ lower scores indicate worse symptoms. A significant (p < 0.0001) 2-year mean worsening, mostly in the range of -0.2/-0.4 points on a 1-7 scale, emerged excepting one question (IBDQ29, "nausea/feeling sick"). This decline was independent of treatment intent while baseline values were associated with 2-year absolute scores. The ΔAcute largely modulated 2-year worsening: patients with ΔAcute greater than the first quartile (Q1) and ΔAcute less or equal than Q1 showed no/minimal and highly significant (p < 0.0001) deterioration, respectively. Rectal incontinence, urgency, frequency and abdominal pain showed the largest mean changes (-0.5/-1): risk of severe worsening (deemed to be of clinical significance if ≤ 2) was 3-5 fold higher in the ΔAcute ≤ Q1 vs ΔAcute > Q1 group (p < 0.0001). CONCLUSION A modest but significant deterioration of two-year patient-reported intestinal symptoms from PNI compared to baseline was found. Patients experiencing more severe acute symptoms are at higher risk of symptom persistence at 2 years, with a much larger prevalence of clinically significant symptoms.
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Affiliation(s)
- Giuseppe Sanguineti
- Radiotherapy, IRCCS Istituto Nazionale dei Tumori "Regina Elena", Roma, Italy
| | | | - Fernando Munoz
- Radiotherapy, Ospedale Regionale Parini-AUSL Valle d'Aosta, Aosta, Italy
| | - Alessandro Magli
- Radiotherapy, Azienda Ospedaliero Universitaria S. Maria della Misericordia, Udine, Italy
| | | | | | - Andrea Gebbia
- Medical Physics, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | | | | | - Elisa Villa
- Radiotherapy, Cliniche Gavazzeni-Humanitas, Bergamo, Italy
| | - Adriana Faiella
- Radiotherapy, IRCCS Istituto Nazionale dei Tumori "Regina Elena", Roma, Italy
| | | | - Barbara Avuzzi
- Radiotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | | | - Eugenia Moretti
- Medical Physics, Azienda sanitaria universitaria Friuli Centrale, Udine, Italy
| | - Luciana Rago
- Radiotherapy, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy
| | - Teodora Statuto
- Laboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS - CROB), Rionero in Vulture, Italy
| | - Marco Gatti
- Radiotherapy, Istituto di Candiolo - Fondazione del Piemonte per l'Oncologia IRCCS, Candiolo, Italy
| | - Tiziana Rancati
- Unit of Data Science, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Riccardo Valdagni
- Radiotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | | | - Nadia Gisella Di Muzio
- Radiotherapy, IRCCS San Raffaele Scientific Institute, Milano, Italy; Medicine and Surgery, Vita-Salute San Raffaele University, Milano, Italy
| | - Claudio Fiorino
- Medical Physics, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Cesare Cozzarini
- Radiotherapy, IRCCS San Raffaele Scientific Institute, Milano, Italy.
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5
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Tam A, Mercier BD, Thomas RM, Tizpa E, Wong IG, Shi J, Garg R, Hampel H, Gray SW, Williams T, Bazan JG, Li YR. Moving the Needle Forward in Genomically-Guided Precision Radiation Treatment. Cancers (Basel) 2023; 15:5314. [PMID: 38001574 PMCID: PMC10669735 DOI: 10.3390/cancers15225314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 11/26/2023] Open
Abstract
Radiation treatment (RT) is a mainstay treatment for many types of cancer. Recommendations for RT and the radiation plan are individualized to each patient, taking into consideration the patient's tumor pathology, staging, anatomy, and other clinical characteristics. Information on germline mutations and somatic tumor mutations is at present rarely used to guide specific clinical decisions in RT. Many genes, such as ATM, and BRCA1/2, have been identified in the laboratory to confer radiation sensitivity. However, our understanding of the clinical significance of mutations in these genes remains limited and, as individual mutations in such genes can be rare, their impact on tumor response and toxicity remains unclear. Current guidelines, including those from the National Comprehensive Cancer Network (NCCN), provide limited guidance on how genetic results should be integrated into RT recommendations. With an increasing understanding of the molecular underpinning of radiation response, genomically-guided RT can inform decisions surrounding RT dose, volume, concurrent therapies, and even omission to further improve oncologic outcomes and reduce risks of toxicities. Here, we review existing evidence from laboratory, pre-clinical, and clinical studies with regard to how genetic alterations may affect radiosensitivity. We also summarize recent data from clinical trials and explore potential future directions to utilize genetic data to support clinical decision-making in developing a pathway toward personalized RT.
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Affiliation(s)
- Andrew Tam
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Benjamin D. Mercier
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (H.H.); (S.W.G.)
| | - Reeny M. Thomas
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Eemon Tizpa
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Irene G. Wong
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Juncong Shi
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Rishabh Garg
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Heather Hampel
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (H.H.); (S.W.G.)
| | - Stacy W. Gray
- Department of Medical Oncology & Therapeutics Research, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (H.H.); (S.W.G.)
| | - Terence Williams
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Jose G. Bazan
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
| | - Yun R. Li
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E Duarte Rd., Duarte, CA 91010, USA; (A.T.); (B.D.M.); (R.M.T.); (E.T.); (I.G.W.); (J.S.); (R.G.); (T.W.)
- Department of Cancer Genetics and Epigenetics, City of Hope National Medical Center, Duarte, CA 91010, USA
- Division of Quantitative Medicine & Systems Biology, Translational Genomics Research Institute, 445 N. Fifth Street, Phoenix, AZ 85022, USA
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6
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Naderi E, Aguado-Barrera ME, Schack LMH, Dorling L, Rattay T, Fachal L, Summersgill H, Martínez-Calvo L, Welsh C, Dudding T, Odding Y, Varela-Pazos A, Jena R, Thomson DJ, Steenbakkers RJHM, Dennis J, Lobato-Busto R, Alsner J, Ness A, Nutting C, Gómez-Caamaño A, Eriksen JG, Thomas SJ, Bates AM, Webb AJ, Choudhury A, Rosenstein BS, Taboada-Valladares B, Herskind C, Azria D, Dearnaley DP, de Ruysscher D, Sperk E, Hall E, Stobart H, Chang-Claude J, De Ruyck K, Veldeman L, Altabas M, De Santis MC, Farcy-Jacquet MP, Veldwijk MR, Sydes MR, Parliament M, Usmani N, Burnet NG, Seibold P, Symonds RP, Elliott RM, Bultijnck R, Gutiérrez-Enríquez S, Mollà M, Gulliford SL, Green S, Rancati T, Reyes V, Carballo A, Peleteiro P, Sosa-Fajardo P, Parker C, Fonteyne V, Johnson K, Lambrecht M, Vanneste B, Valdagni R, Giraldo A, Ramos M, Diergaarde B, Liu G, Leal SM, Chua MLK, Pring M, Overgaard J, Cascallar-Caneda LM, Duprez F, Talbot CJ, Barnett GC, Dunning AM, Vega A, Andreassen CN, Langendijk JA, West CML, Alizadeh BZ, Kerns SL. Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types. JNCI Cancer Spectr 2023; 7:pkad088. [PMID: 37862240 PMCID: PMC10653584 DOI: 10.1093/jncics/pkad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/18/2023] [Accepted: 10/18/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity across 4 cancer types (prostate, head and neck, breast, and lung). METHODS A genome-wide association study meta-analysis was performed using 19 cohorts totaling 12 042 patients. Acute standardized total average toxicity (STATacute) was modelled using a generalized linear regression model for additive effect of genetic variants, adjusted for demographic and clinical covariates (rSTATacute). Linkage disequilibrium score regression estimated shared single-nucleotide variation (SNV-formerly SNP)-based heritability of rSTATacute in all patients and for each cancer type. RESULTS Shared SNV-based heritability of STATacute among all cancer types was estimated at 10% (SE = 0.02) and was higher for prostate (17%, SE = 0.07), head and neck (27%, SE = 0.09), and breast (16%, SE = 0.09) cancers. We identified 130 suggestive associated SNVs with rSTATacute (5.0 × 10‒8 < P < 1.0 × 10‒5) across 25 genomic regions. rs142667902 showed the strongest association (effect allele A; effect size ‒0.17; P = 1.7 × 10‒7), which is located near DPPA4, encoding a protein involved in pluripotency in stem cells, which are essential for repair of radiation-induced tissue injury. Gene-set enrichment analysis identified 'RNA splicing via endonucleolytic cleavage and ligation' (P = 5.1 × 10‒6, P = .079 corrected) as the top gene set associated with rSTATacute among all patients. In silico gene expression analysis showed that the genes associated with rSTATacute were statistically significantly up-regulated in skin (not sun exposed P = .004 corrected; sun exposed P = .026 corrected). CONCLUSIONS There is shared SNV-based heritability for acute radiation-induced toxicity across and within individual cancer sites. Future meta-genome-wide association studies among large radiation therapy patient cohorts are worthwhile to identify the common causal variants for acute radiotoxicity across cancer types.
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Affiliation(s)
- Elnaz Naderi
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Miguel E Aguado-Barrera
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Line M H Schack
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Gødstrup Hospital, Herning, Denmark
- NIDO | Centre for Research and Education, Gødstrup Hospital, Herning, Denmark
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Tim Rattay
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Laura Fachal
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Holly Summersgill
- Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - Laura Martínez-Calvo
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Ceilidh Welsh
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Tom Dudding
- Bristol Dental School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Yasmin Odding
- Bristol Cancer Institute, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Ana Varela-Pazos
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Rajesh Jena
- Department of Oncology, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
| | - David J Thomson
- Division of Cancer Sciences, University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - Roel J H M Steenbakkers
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Ramón Lobato-Busto
- Department of Medical Physics, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Jan Alsner
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Andy Ness
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Chris Nutting
- Head and Neck Unit, The Royal Marsden Hospital, London, UK
| | - Antonio Gómez-Caamaño
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Jesper G Eriksen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Steve J Thomas
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Amy M Bates
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Adam J Webb
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Ananya Choudhury
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - Barry S Rosenstein
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Begona Taboada-Valladares
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Carsten Herskind
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - David Azria
- Fédération Universitaire d’Oncologie Radiothérapie d’Occitanie Méditérranée, Département d’Oncologie Radiothérapie, ICM Montpellier, INSERM U1194 IRCM, University of Montpellier, Montpellier, France
| | - David P Dearnaley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research Department, The Royal Marsden NHS Foundation Trust, London, UK
| | - Dirk de Ruysscher
- MAASTRO Clinic, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Elena Sperk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - Hilary Stobart
- Patient Advocate, Independent Cancer Patients’ Voice, London, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kim De Ruyck
- Departments of Basic Medical Sciences and Radiotherapy, Ghent University Hospital, Ghent, Belgium
| | - Liv Veldeman
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Manuel Altabas
- Radiation Oncology Department, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
| | | | - Marie-Pierre Farcy-Jacquet
- Fédération Universitaire d’Oncologie Radiothérapie d’Occitanie Méditérranée, Département d’Oncologie Radiothérapie, CHU Carémeau, Nîmes, France
| | - Marlon R Veldwijk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthew R Sydes
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Matthew Parliament
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada
| | - Nawaid Usmani
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada
| | | | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - R Paul Symonds
- Cancer Research Centre, University of Leicester, Leicester, UK
| | - Rebecca M Elliott
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - Renée Bultijnck
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Sara Gutiérrez-Enríquez
- Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Hospital Campus, Barcelona, Spain
| | - Meritxell Mollà
- Radiation Oncology Department, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Sarah L Gulliford
- Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - Sheryl Green
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tiziana Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Victoria Reyes
- Radiation Oncology Department, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Ana Carballo
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Paula Peleteiro
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Paloma Sosa-Fajardo
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Chris Parker
- Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - Valérie Fonteyne
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Kerstie Johnson
- Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | | | - Ben Vanneste
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
- Department of Radiation Oncology (Maastro Clinic), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Riccardo Valdagni
- Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alexandra Giraldo
- Radiation Oncology Department, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Mónica Ramos
- Radiation Oncology Department, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Brenda Diergaarde
- Department of Human Genetics, School of Public Health, University of Pittsburgh, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, Temerty Faculty of Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Suzanne M Leal
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Taub Institute for Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Melvin L K Chua
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore
- Duke-NUS Medical School, Oncology Academic Clinical Programme, Singapore
| | - Miranda Pring
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Luis M Cascallar-Caneda
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Fréderic Duprez
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Christopher J Talbot
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Gillian C Barnett
- Department of Oncology, Addenbrooke’s Hospital, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación Biomédica en Red de Enfermedades Raras, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Christian Nicolaj Andreassen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Johannes A Langendijk
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust Hospital, Manchester, UK
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Sarah L Kerns
- Department of Radiation Oncology, The Medical College of Wisconsin, Milwaukee, WI, USA
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7
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McLaren DB, Aitman TJ. Redefining precision radiotherapy through liquid biopsy. Br J Cancer 2023; 129:900-903. [PMID: 37598284 PMCID: PMC10491827 DOI: 10.1038/s41416-023-02398-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 07/20/2023] [Accepted: 08/08/2023] [Indexed: 08/21/2023] Open
Abstract
Precision radiotherapy refers to the ability to deliver radiation doses with sub-millimetre accuracy. It does not however consider individual variation in tumour or normal tissue response, failing to maximise tumour control and minimise toxicity. Combining precise delivery with personalised dosing, through analysis of cell-free DNA, would redefine precision in radiotherapy.
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Affiliation(s)
- D B McLaren
- Edinburgh Cancer Centre, Western General Hospital, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK.
| | - T J Aitman
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK.
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8
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Jandu HK, Veal CD, Fachal L, Luccarini C, Aguado-Barrera ME, Altabas M, Azria D, Baten A, Bourgier C, Bultijnck R, Colciago RR, Farcy-Jacquet MP, Chang-Claude J, Choudhury A, Dunning A, Elliott RM, Green S, Gutiérrez-Enríquez S, Herskind C, Lambrecht M, Monten C, Rancati T, Reyes V, Rosenstein BS, De Ruysscher D, Carmen De Santis M, Seibold P, Sperk E, Veldwijk M, Paul Symonds R, Stobart H, Taboada-Valladares B, Vega A, Veldeman L, Webb AJ, Weltens C, West CM, Rattay T, Talbot CJ. Genome-wide association study of treatment-related toxicity two years following radiotherapy for breast cancer. Radiother Oncol 2023; 187:109806. [PMID: 37437607 DOI: 10.1016/j.radonc.2023.109806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND AND PURPOSE Up to a quarter of breast cancer patients treated by surgery and radiotherapy experience clinically significant toxicity. If patients at high risk of adverse effects could be identified at diagnosis, their treatment could be tailored accordingly. This study was designed to identify common single nucleotide polymorphisms (SNPs) associated with toxicity two years following whole breast radiotherapy. MATERIALS AND METHODS A genome-wide association study (GWAS) was performed in 1,640 breast cancer patients with complete SNP, clinical, treatment and toxicity data, recruited across 18 European and US centres into the prospective REQUITE cohort study. Toxicity data (CTCAE v4.0) were collected at baseline, end of radiotherapy, and annual follow-up. A total of 7,097,340 SNPs were tested for association with the residuals of toxicity endpoints, adjusted for clinical, treatment co-variates and population substructure. RESULTS Quantile-quantile plots showed more associations with toxicity above the p < 5 × 10-5 level than expected by chance. Eight SNPs reached genome-wide significance. Nipple retraction grade ≥ 2 was associated with the rs188287402 variant (p = 2.80 × 10-8), breast oedema grade ≥ 2 with rs12657177 (p = 1.12 × 10-10), rs75912034 (p = 1.12 × 10-10), rs145328458 (p = 1.06 × 10-9) and rs61966612 (p = 1.23 × 10-9), induration grade ≥ 2 with rs77311050 (p = 2.54 × 10-8) and rs34063419 (p = 1.21 × 10-8), and arm lymphoedema grade ≥ 1 with rs643644 (p = 3.54 × 10-8). Heritability estimates across significant endpoints ranged from 25% to 39%. Our study did not replicate previously reported SNPs associated with breast radiation toxicity at the pre-specified significance level. CONCLUSIONS This GWAS for long-term breast radiation toxicity provides further evidence for significant association of common SNPs with distinct toxicity endpoints.
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Affiliation(s)
- Harkeran K Jandu
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Colin D Veal
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Laura Fachal
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Strangeways Research Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Miguel E Aguado-Barrera
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
| | - Manuel Altabas
- Department of Radiation Oncology, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - David Azria
- Institut de Recherche en Cancérologie de Montpellier, University Federation of Radiation Oncology of Mediterranean Occitanie, Université de Montpellier, INSERM U1194 IRCM, Montpellier, France
| | | | - Celine Bourgier
- Institut de Recherche en Cancérologie de Montpellier, University Federation of Radiation Oncology of Mediterranean Occitanie, Université de Montpellier, INSERM U1194 IRCM, Montpellier, France
| | - Renée Bultijnck
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Riccardo R Colciago
- Unit of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marie-Pierre Farcy-Jacquet
- Institut de Cancérologie du Gard, University Federation of Radiation Oncology of Mediterranean Occitanie, CHU Carémeau, Nîmes, France
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ananya Choudhury
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - Alison Dunning
- Centre for Cancer Genetic Epidemiology, Strangeways Research Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Rebecca M Elliott
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - Sheryl Green
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara Gutiérrez-Enríquez
- Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Carsten Herskind
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Christel Monten
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Tiziana Rancati
- Unit of Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Victoria Reyes
- Department of Radiation Oncology, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Barry S Rosenstein
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dirk De Ruysscher
- MAASTRO Clinic, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Maria Carmen De Santis
- Unit of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elena Sperk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marlon Veldwijk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - R Paul Symonds
- Leicester Cancer Research Centre, University of Leicester, Leicester, United Kingdom
| | - Hilary Stobart
- Patient Advocate, Independent Cancer Patients' Voice, UK
| | - Begoña Taboada-Valladares
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain; Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Ana Vega
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
| | - Liv Veldeman
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Adam J Webb
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | | | - Catharine M West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
| | - Tim Rattay
- Leicester Cancer Research Centre, University of Leicester, Leicester, United Kingdom.
| | - Christopher J Talbot
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
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Liu Z, Duan T, Zhang Y, Weng S, Xu H, Ren Y, Zhang Z, Han X. Radiogenomics: a key component of precision cancer medicine. Br J Cancer 2023; 129:741-753. [PMID: 37414827 PMCID: PMC10449908 DOI: 10.1038/s41416-023-02317-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 05/02/2023] [Accepted: 06/12/2023] [Indexed: 07/08/2023] Open
Abstract
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes, has been widely applied to address tumour heterogeneity and predict immune responsiveness and progression. It is an inevitable consequence of current trends in precision medicine, as radiogenomics costs less than traditional genetic sequencing and provides access to whole-tumour information rather than limited biopsy specimens. By providing voxel-by-voxel genetic information, radiogenomics can allow tailored therapy targeting a complete, heterogeneous tumour or set of tumours. In addition to quantifying lesion characteristics, radiogenomics can also be used to distinguish benign from malignant entities, as well as patient characteristics, to better stratify patients according to disease risk, thereby enabling more precise imaging and screening. Here, we have characterised the radiogenomic application in precision medicine using a multi-omic approach. we outline the main applications of radiogenomics in diagnosis, treatment planning and evaluations in the field of oncology with the aim of developing quantitative and personalised medicine. Finally, we discuss the challenges in the field of radiogenomics and the scope and clinical applicability of these methods.
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Affiliation(s)
- Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, 450052, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, 450052, Zhengzhou, Henan, China
| | - Tian Duan
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Siyuan Weng
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Hui Xu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Yuqing Ren
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China
| | - Zhenyu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
- Interventional Institute of Zhengzhou University, 450052, Zhengzhou, Henan, China.
- Interventional Treatment and Clinical Research Center of Henan Province, 450052, Zhengzhou, Henan, China.
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10
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Oh JH, Lee S, Thor M, Rosenstein BS, Tannenbaum A, Kerns S, Deasy JO. Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients. Radiother Oncol 2023; 185:109723. [PMID: 37244355 PMCID: PMC10524941 DOI: 10.1016/j.radonc.2023.109723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 05/09/2023] [Accepted: 05/17/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND AND PURPOSE Late radiation-induced hematuria can develop in prostate cancer patients undergoing radiotherapy and can negatively impact the quality-of-life of survivors. If a genetic component of risk could be modeled, this could potentially be the basis for modifying treatment for high-risk patients. We therefore investigated whether a previously developed machine learning-based modeling method using genome-wide common single nucleotide polymorphisms (SNPs) can stratify patients in terms of the risk of radiation-induced hematuria. MATERIALS AND METHODS We applied a two-step machine learning algorithm that we previously developed for genome-wide association studies called pre-conditioned random forest regression (PRFR). PRFR includes a pre-conditioning step, producing adjusted outcomes, followed by random forest regression modeling. Data was from germline genome-wide SNPs for 668 prostate cancer patients treated with radiotherapy. The cohort was stratified only once, at the outset of the modeling process, into two groups: a training set (2/3 of samples) for modeling and a validation set (1/3 of samples). Post-modeling bioinformatics analysis was conducted to identify biological correlates plausibly associated with the risk of hematuria. RESULTS The PRFR method achieved significantly better predictive performance compared to other alternative methods (all p < 0.05). The odds ratio between the high and low risk groups, each of which consisted of 1/3 of samples in the validation set, was 2.87 (p = 0.029), implying a clinically useful level of discrimination. Bioinformatics analysis identified six key proteins encoded by CTNND2, GSK3B, KCNQ2, NEDD4L, PRKAA1, and TXNL1 genes as well as four statistically significant biological process networks previously shown to be associated with the bladder and urinary tract. CONCLUSION The risk of hematuria is significantly dependent on common genetic variants. The PRFR algorithm resulted in a stratification of prostate cancer patients at differential risk levels of post-radiotherapy hematuria. Bioinformatics analysis identified important biological processes involved in radiation-induced hematuria.
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Affiliation(s)
- Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
| | - Sangkyu Lee
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Barry S Rosenstein
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Allen Tannenbaum
- Departments of Computer Science and Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, United States
| | - Sarah Kerns
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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11
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Pardo-Montero J, González-Crespo I, Gómez-Caamaño A, Gago-Arias A. Radiobiological Meta-Analysis of the Response of Prostate Cancer to Different Fractionations: Evaluation of the Linear-Quadratic Response at Large Doses and the Effect of Risk and ADT. Cancers (Basel) 2023; 15:3659. [PMID: 37509320 PMCID: PMC10377316 DOI: 10.3390/cancers15143659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/04/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The purpose of this work was to investigate the response of prostate cancer to different radiotherapy schedules, including hypofractionation, to evaluate potential departures from the linear-quadratic (LQ) response, to obtain the best-fitting parameters for low-(LR), intermediate-(IR), and high-risk (HR) prostate cancer and to investigate the effect of ADT on the radiobiological response. We constructed a dataset of the dose-response containing 87 entries/16,536 patients (35/5181 LR, 32/8146 IR, 20/3209 HR), with doses per fraction ranging from 1.8 to 10 Gy. These data were fit to tumour control probability models based on the LQ model, linear-quadratic-linear (LQL) model, and a modification of the LQ (LQmod) model accounting for increasing radiosensitivity at large doses. Fits were performed with the maximum likelihood expectation methodology, and the Akaike information criterion (AIC) was used to compare the models. The AIC showed that the LQ model was superior to the LQL and LQmod models for all risks, except for IR, where the LQL model outperformed the other models. The analysis showed a low α/β for all risks: 2.0 Gy for LR (95% confidence interval: 1.7-2.3), 3.4 Gy for IR (3.0-4.0), and 2.8 Gy for HR (1.4-4.2). The best fits did not show proliferation for LR and showed moderate proliferation for IR/HR. The addition of ADT was consistent with a suppression of proliferation. In conclusion, the LQ model described the response of prostate cancer better than the alternative models. Only for IR, the LQL model outperformed the LQ model, pointing out a possible saturation of radiation damage with increasing dose. This study confirmed a low α/β for all risks.
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Affiliation(s)
- Juan Pardo-Montero
- Group of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain
- Department of Medical Physics, Complexo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Isabel González-Crespo
- Group of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain
- Department of Applied Mathematics, Universidade de Santiago de Compostela, 15705 Santiago de Compostela, Spain
| | - Antonio Gómez-Caamaño
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Araceli Gago-Arias
- Group of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain
- Department of Medical Physics, Complexo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
- Institute of Physics, Pontificia Universidad Católica de Chile, Santiago de Chile 7820436, Chile
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Kerns SL, Hall WA, Marples B, West CML. Normal Tissue Toxicity Prediction: Clinical Translation on the Horizon. Semin Radiat Oncol 2023; 33:307-316. [PMID: 37331785 DOI: 10.1016/j.semradonc.2023.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Improvements in radiotherapy delivery have enabled higher therapeutic doses and improved efficacy, contributing to the growing number of long-term cancer survivors. These survivors are at risk of developing late toxicity from radiotherapy, and the inability to predict who is most susceptible results in substantial impact on quality of life and limits further curative dose escalation. A predictive assay or algorithm for normal tissue radiosensitivity would allow more personalized treatment planning, reducing the burden of late toxicity, and improving the therapeutic index. Progress over the last 10 years has shown that the etiology of late clinical radiotoxicity is multifactorial and informs development of predictive models that combine information on treatment (eg, dose, adjuvant treatment), demographic and health behaviors (eg, smoking, age), co-morbidities (eg, diabetes, collagen vascular disease), and biology (eg, genetics, ex vivo functional assays). AI has emerged as a useful tool and is facilitating extraction of signal from large datasets and development of high-level multivariable models. Some models are progressing to evaluation in clinical trials, and we anticipate adoption of these into the clinical workflow in the coming years. Information on predicted risk of toxicity could prompt modification of radiotherapy delivery (eg, use of protons, altered dose and/or fractionation, reduced volume) or, in rare instances of very high predicted risk, avoidance of radiotherapy. Risk information can also be used to assist treatment decision-making for cancers where efficacy of radiotherapy is equivalent to other treatments (eg, low-risk prostate cancer) and can be used to guide follow-up screening in instances where radiotherapy is still the best choice to maximize tumor control probability. Here, we review promising predictive assays for clinical radiotoxicity and highlight studies that are progressing to develop an evidence base for clinical utility.
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Affiliation(s)
- Sarah L Kerns
- Department of Radiation Oncology, the Medical College of Wisconsin, Milwaukee, WI.
| | - William A Hall
- Department of Radiation Oncology, the Medical College of Wisconsin, Milwaukee, WI
| | - Brian Marples
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, NY
| | - Catharine M L West
- Division of Cancer Sciences, the University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, Manchester, UK
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Yang Z, Noble DJ, Shelley L, Berger T, Jena R, McLaren DB, Burnet NG, Nailon WH. Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients. Radiother Oncol 2023; 183:109593. [PMID: 36870609 DOI: 10.1016/j.radonc.2023.109593] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 01/27/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND AND PURPOSE This study aims to build machine learning models to predict radiation-induced rectal toxicities for three clinical endpoints and explore whether the inclusion of radiomic features calculated on radiotherapy planning computerised tomography (CT) scans combined with dosimetric features can enhance the prediction performance. MATERIALS AND METHODS 183 patients recruited to the VoxTox study (UK-CRN-ID-13716) were included. Toxicity scores were prospectively collected after 2 years with grade ≥ 1 proctitis, haemorrhage (CTCAEv4.03); and gastrointestinal (GI) toxicity (RTOG) recorded as the endpoints of interest. The rectal wall on each slice was divided into 4 regions according to the centroid, and all slices were divided into 4 sections to calculate region-level radiomic and dosimetric features. The patients were split into a training set (75%, N = 137) and a test set (25%, N = 46). Highly correlated features were removed using four feature selection methods. Individual radiomic or dosimetric or combined (radiomic + dosimetric) features were subsequently classified using three machine learning classifiers to explore their association with these radiation-induced rectal toxicities. RESULTS The test set area under the curve (AUC) values were 0.549, 0.741 and 0.669 for proctitis, haemorrhage and GI toxicity prediction using radiomic combined with dosimetric features. The AUC value reached 0.747 for the ensembled radiomic-dosimetric model for haemorrhage. CONCLUSIONS Our preliminary results show that region-level pre-treatment planning CT radiomic features have the potential to predict radiation-induced rectal toxicities for prostate cancer. Moreover, when combined with region-level dosimetric features and using ensemble learning, the model prediction performance slightly improved.
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Affiliation(s)
- Zhuolin Yang
- Department of Oncology Physics, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK; School of Engineering, The University of Edinburgh, The King's Buildings, Mayfield Road, Edinburgh EH9 3JL, UK.
| | - David J Noble
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK; Department of Clinical Oncology, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Leila Shelley
- Department of Oncology Physics, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Thomas Berger
- Department of Oncology Physics, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Raj Jena
- The University of Cambridge, Department of Oncology, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, UK
| | - Duncan B McLaren
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK; Department of Clinical Oncology, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Neil G Burnet
- The Christie NHS Foundation Trust, Manchester M20 4BX, UK
| | - William H Nailon
- Department of Oncology Physics, Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK; School of Engineering, The University of Edinburgh, The King's Buildings, Mayfield Road, Edinburgh EH9 3JL, UK; School of Science and Engineering, The University of Dundee, Dundee DD1 4HN, UK
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Groves AM, Paris N, Hernady E, Johnston CJ, Aljitawi O, Lee YF, Kerns SL, Marples B. Prevention of Radiation-Induced Bladder Injury: A Murine Study Using Captopril. Int J Radiat Oncol Biol Phys 2023; 115:972-982. [PMID: 36400304 DOI: 10.1016/j.ijrobp.2022.10.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 10/04/2022] [Accepted: 10/13/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE Pelvic radiation therapy (RT) can cause debilitating bladder toxicities but few clinical interventions exist to prevent injury or alleviate symptoms. From a large genome-wide association study in patients with prostate cancer it was previously reported that SNPs tagging AGT, part of the renin-angiotensin system (RAS), correlated with patient-reported late hematuria, identifying a potential targetable pathway to prevent RT-induced bladder injury. To investigate this association, we performed a preclinical study to determine whether RAS modulation protected the bladder against RT injury. METHODS AND MATERIALS C57BL/6 male mice were treated with an oral angiotensin converting enzyme inhibitor (ACEi: 0.3g/L captopril) 5 days before focal bladder X-irradiation with either single dose (SD) 30 Gy or 3 fractions of 8 Gy (8 Gy × 3 in 5 days). RT was delivered using XStrahl SARRP Muriplan CT-image guidance with parallel-opposed lateral beams. ACEi was maintained for 20 weeks post RT. Bladder toxicity was assessed using assays to identify local injury that included urinalysis, functional micturition, bladder-released exosomes, and histopathology, as well as an assessment of systemic changes in inflammatory-mediated circulating immune cells. RESULTS SD and fractionated RT increased urinary frequency and reduced the volume of individual voids at >14 weeks, but not at 4 weeks, compared with nonirradiated animals. Urothelial layer width was positively correlated with mean volume of individual voids (P = .0428) and negatively correlated with number of voids (P = .028), relating urothelial thinning to changes in RT-mediated bladder dysfunction. These chronic RT-induced changes in micturition patterns were prevented by captopril treatment. Focal bladder irradiation significantly increased the mean particle count of urine extracellular vesicles and the monocyte and neutrophil chemokines CCL2 and MIP-2, and the proportions of circulating inflammatory-mediated neutrophils and monocytes, which was also prevented by captopril. Exploratory transcriptomic analysis of bladder tissue implicated inflammatory and erythropoietic pathways. CONCLUSIONS This study demonstrated that systemic modulation of the RAS protected against and alleviated RT-induced late bladder injury but larger confirmatory studies are needed.
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Affiliation(s)
- Angela M Groves
- Departments of Radiation Oncology, University of Rochester, Rochester, New York
| | - Nicole Paris
- Departments of Radiation Oncology, University of Rochester, Rochester, New York
| | - Eric Hernady
- Departments of Radiation Oncology, University of Rochester, Rochester, New York
| | - Carl J Johnston
- Departments of Pediatrics, University of Rochester, Rochester, New York
| | - Omar Aljitawi
- Departments of Medicine, Hematology/Oncology, University of Rochester, Rochester, New York
| | - Yi-Fen Lee
- Departments of Urology, University of Rochester, Rochester, New York
| | - Sarah L Kerns
- Departments of Radiation Oncology, University of Rochester, Rochester, New York
| | - Brian Marples
- Departments of Radiation Oncology, University of Rochester, Rochester, New York.
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15
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Kerns SL, Williams JP, Marples B. Modeling normal bladder injury after radiation therapy. Int J Radiat Biol 2023; 99:1046-1054. [PMID: 36854008 PMCID: PMC10330568 DOI: 10.1080/09553002.2023.2182000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 03/02/2023]
Abstract
PURPOSE For decades, Dr. John Moulder has been a leading radiation biologist and one of the few who consistently supported the study of normal tissue responses to radiation. His meticulous modeling and collaborations across the field have offered a prime example of how research can be taken from the bench to the bedside and back, with the ultimate goal of providing benefit to patients. Much of the focus of John's work was on mitigating damage to the kidney, whether as the result of accidental or deliberate clinical exposures. Following in his footsteps, we offer here a brief overview of work conducted in the field of radiation-induced bladder injury. We then describe our own preclinical experimental studies which originated as a response to reports from a clinical genome-wide association study (GWAS) investigating genomic biomarkers of normal tissue toxicity in prostate cancer patients treated with radiotherapy. In particular, we discuss the use of Renin-Angiotensin System (RAS) inhibitors as modulators of injury, agents championed by the Moulder group, and how RAS inhibitors are associated with a reduction in some measures of toxicity. Using a murine model, along with precise CT-image guided irradiation of the bladder using single and fractionated dosing regimens, we have been able to demonstrate radiation-induced functional injury to the bladder and mitigation of this functional damage by an inhibitor of angiotensin-converting enzyme targeting the RAS, an experimental approach akin to that used by the Moulder group. We consider our scientific trajectory as a bedside-to-bench approach because the observation was made clinically and investigated in a preclinical model; this experimental approach aligns with the exemplary career of Dr. John Moulder. CONCLUSIONS Despite the differences in functional endpoints, recent findings indicate a commonality between bladder late effects and the work in kidney pioneered by Dr. John Moulder. We offer evidence that targeting the RAS pathway may provide a targetable pathway to reducing late bladder toxicity.
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Affiliation(s)
- Sarah L. Kerns
- Department of Department of Radiation Oncology, the Medical College of Wisconsin, Milwaukee, WI, USA
| | - Jacqueline P. Williams
- Departments of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA
- Departments of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, USA
| | - Brian Marples
- Departments of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, USA
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16
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Aguado-Barrera ME, Sosa-Fajardo P, Gómez-Caamaño A, Taboada-Valladares B, Couñago F, López-Guerra JL, Vega A. Radiogenomics in lung cancer: Where are we? Lung Cancer 2023; 176:56-74. [PMID: 36621035 DOI: 10.1016/j.lungcan.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/22/2022] [Accepted: 01/01/2023] [Indexed: 01/04/2023]
Abstract
Huge technological and biomedical advances have improved the survival and quality of life of lung cancer patients treated with radiotherapy. However, during treatment planning, a probability that the patient will experience adverse effects is assumed. Radiotoxicity is a complex entity that is largely dose-dependent but also has important intrinsic factors. One of the most studied is the genetic variants that may be associated with susceptibility to the development of adverse effects of radiotherapy. This review aims to present the current status of radiogenomics in lung cancer, integrating results obtained in association studies of SNPs (single nucleotide polymorphisms) related to radiotherapy toxicities. We conclude that despite numerous publications in this field, methodologies and endpoints vary greatly, making comparisons between studies difficult. Analyzing SNPs from the candidate gene approach, together with the study in cohorts limited by the sample size, has complicated the possibility of having validated results. All this delays the incorporation of genetic biomarkers in predictive models for clinical application. Thus, from all analysed SNPs, only 12 have great potential as esophagitis genetic risk factors and deserve further exploration. This review highlights the efforts that have been made to date in the radiogenomic study of radiotoxicity in lung cancer.
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Affiliation(s)
- Miguel E Aguado-Barrera
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Av. Choupana s/n, Edif. D, Planta 1, 15706, Santiago de Compostela, A Coruña, Spain; Fundación Pública Galega de Medicina Xenómica (FPGMX), Av. Choupana s/n, Edif. Consultas, Planta menos 2, 15706, Santiago de Compostela, A Coruña, Spain
| | - Paloma Sosa-Fajardo
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Av. Choupana s/n, Edif. D, Planta 1, 15706, Santiago de Compostela, A Coruña, Spain; Department of Radiation Oncology, University Hospital Virgen del Rocío, Av. Manuel Siurot, s/n, 41013, Seville, Spain
| | - Antonio Gómez-Caamaño
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Av. Choupana s/n, Edif. D, Planta 1, 15706, Santiago de Compostela, A Coruña, Spain; Department of Radiation Oncology, Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Av. Choupana s/n, Edif. Consultas, Planta menos 3, 15706, Santiago de Compostela, A Coruña, Spain
| | - Begoña Taboada-Valladares
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Av. Choupana s/n, Edif. D, Planta 1, 15706, Santiago de Compostela, A Coruña, Spain; Department of Radiation Oncology, Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Av. Choupana s/n, Edif. Consultas, Planta menos 3, 15706, Santiago de Compostela, A Coruña, Spain
| | - Felipe Couñago
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, C. del Maestro Ángel Llorca 8, 28003, Madrid, Spain
| | - José Luis López-Guerra
- Department of Radiation Oncology, University Hospital Virgen del Rocío, Av. Manuel Siurot, s/n, 41013, Seville, Spain; Instituto de Biomedicina de Sevilla (IBIS/HUVR/CSIC/Universidad de Sevilla), C. Antonio Maura Montaner s/n, 41013, Seville, Spain
| | - Ana Vega
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Av. Choupana s/n, Edif. D, Planta 1, 15706, Santiago de Compostela, A Coruña, Spain; Fundación Pública Galega de Medicina Xenómica (FPGMX), Av. Choupana s/n, Edif. Consultas, Planta menos 2, 15706, Santiago de Compostela, A Coruña, Spain; Biomedical Network on Rare Diseases (CIBERER), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain.
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Predicting tumour radiosensitivity to deliver precision radiotherapy. Nat Rev Clin Oncol 2023; 20:83-98. [PMID: 36477705 DOI: 10.1038/s41571-022-00709-y] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 12/13/2022]
Abstract
Owing to advances in radiotherapy, the physical properties of radiation can be optimized to enable individualized treatment; however, optimization is rarely based on biological properties and, therefore, treatments are generally planned with the assumption that all tumours respond similarly to radiation. Radiation affects multiple cellular pathways, including DNA damage, hypoxia, proliferation, stem cell phenotype and immune response. In this Review, we summarize the effect of these pathways on tumour responses to radiotherapy and the current state of research on genomic classifiers designed to exploit these variations to inform treatment decisions. We also discuss whether advances in genomics have generated evidence that could be practice changing and whether advances in genomics are now ready to be used to guide the delivery of radiotherapy alone or in combination.
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Towards sustainable human space exploration-priorities for radiation research to quantify and mitigate radiation risks. NPJ Microgravity 2023; 9:8. [PMID: 36707520 PMCID: PMC9883222 DOI: 10.1038/s41526-023-00262-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 01/20/2023] [Indexed: 01/28/2023] Open
Abstract
Human spaceflight is entering a new era of sustainable human space exploration. By 2030 humans will regularly fly to the Moon's orbit, return to the Moon's surface and preparations for crewed Mars missions will intensify. In planning these undertakings, several challenges will need to be addressed in order to ensure the safety of astronauts during their space travels. One of the important challenges to overcome, that could be a major showstopper of the space endeavor, is the exposure to the space radiation environment. There is an urgent need for quantifying, managing and limiting the detrimental health risks and electronics damage induced by space radiation exposure. Such risks raise key priority topics for space research programs. Risk limitation involves obtaining a better understanding of space weather phenomena and the complex radiation environment in spaceflight, as well as developing and applying accurate dosimetric instruments, understanding related short- and long-term health risks, and strategies for effective countermeasures to minimize both exposure to space radiation and the remaining effects post exposure. The ESA/SciSpacE Space Radiation White Paper identifies those topics and underlines priorities for future research and development, to enable safe human and robotic exploration of space beyond Low Earth Orbit.
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Gopal P, Yard BD, Petty A, Lal JC, Bera TK, Hoang TQ, Buhimschi AD, Abazeed ME. The Mutational Landscape of Cancer's Vulnerability to Ionizing Radiation. Clin Cancer Res 2022; 28:5343-5358. [PMID: 36222846 PMCID: PMC9751780 DOI: 10.1158/1078-0432.ccr-22-1914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/24/2022] [Accepted: 10/10/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Large-scale sequencing efforts have established that cancer-associated genetic alterations are highly diverse, posing a challenge to the identification of variants that regulate complex phenotypes like radiation sensitivity. The impact of the vast majority of rare or common genetic variants on the sensitivity of cancers to radiotherapy remains largely unknown. EXPERIMENTAL DESIGN We developed a scalable gene editing and irradiation platform to assess the role of categories of variants in cells. Variants were prioritized on the basis of genotype-phenotype associations from a previously completed large-scale cancer cell line radiation profiling study. Altogether, 488 alleles (396 unique single-nucleotide variants) from 92 genes were generated and profiled in an immortalized lung cell line, BEAS-2B. We validated our results in other cell lines (TRT-HU1 and NCI-H520), in vivo via the use of both cell line and patient-derived murine xenografts, and in clinical cohorts. RESULTS We show that resistance to radiation is characterized by substantial inter- and intra-gene allelic variation. Some genes (e.g., KEAP1) demonstrated significant intragenic allelic variation in the magnitude of conferred resistance and other genes (e.g., CTNNB1) displayed both resistance and sensitivity in a protein domain-dependent manner. We combined results from our platform with gene expression and metabolite features and identified the upregulation of amino acid transporters that facilitate oxidative reductive capacity and cell-cycle deregulation as key regulators of radiation sensitivity. CONCLUSIONS Our results reveal new insights into the genetic determinants of tumor sensitivity to radiotherapy and nominate a multitude of cancer mutations that are predicted to impact treatment efficacy.
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Affiliation(s)
- Priyanka Gopal
- Department of Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Brian D. Yard
- Department of Translational Hematology Oncology Research, Cleveland Clinic, Cleveland, Ohio
| | - Aaron Petty
- Department of Translational Hematology Oncology Research, Cleveland Clinic, Cleveland, Ohio
| | - Jessica C. Lal
- Department of Translational Hematology Oncology Research, Cleveland Clinic, Cleveland, Ohio
| | - Titas K. Bera
- Department of Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Trung Q. Hoang
- Department of Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alexandru D. Buhimschi
- Department of Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Mohamed E. Abazeed
- Department of Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, Illinois
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Recent advances in the oncological management of head and neck cancer and implications for oral toxicity. Br Dent J 2022; 233:737-743. [DOI: 10.1038/s41415-022-5195-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022]
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Barnett GC, Kerns SL, Dorling L, Fachal L, Aguado-Barrera ME, Martínez-Calvo L, Jandu HK, Welsh C, Tyrer J, Coles CE, Haviland JS, Parker C, Gómez-Caamaño A, Calvo-Crespo P, Sosa-Fajardo P, Burnet NG, Summersgill H, Webb A, De Ruysscher D, Seibold P, Chang-Claude J, Talbot CJ, Rattay T, Parliament M, De Ruyck K, Rosenstein BS, Pharoah PDP, Dunning AM, Vega A, West CML. No Association Between Polygenic Risk Scores for Cancer and Development of Radiation Therapy Toxicity. Int J Radiat Oncol Biol Phys 2022; 114:494-501. [PMID: 35840111 DOI: 10.1016/j.ijrobp.2022.06.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 06/16/2022] [Accepted: 06/26/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE Our aim was to test whether updated polygenic risk scores (PRS) for susceptibility to cancer affect risk of radiation therapy toxicity. METHODS AND MATERIALS Analyses included 9,717 patients with breast (n=3,078), prostate (n=5,748) or lung (n=891) cancer from Radiogenomics and REQUITE Consortia cohorts. Patients underwent potentially curative radiation therapy and were assessed prospectively for toxicity. Germline genotyping involved genome-wide single nucleotide polymorphism (SNP) arrays with nontyped SNPs imputed. PRS for each cancer were generated by summing literature-identified cancer susceptibility risk alleles: 352 breast, 136 prostate, and 24 lung. Weighted PRS were generated using log odds ratio (ORs) for cancer susceptibility. Standardized total average toxicity (STAT) scores at 2 and 5 years (breast, prostate) or 6 to 12 months (lung) quantified toxicity. Primary analysis tested late STAT, secondary analyses investigated acute STAT, and individual endpoints and SNPs using multivariable regression. RESULTS Increasing PRS did not increase risk of late toxicity in patients with breast (OR, 1.000; 95% confidence interval [CI], 0.997-1.002), prostate (OR, 0.99; 95% CI, 0.98-1.00; weighted PRS OR, 0.93; 95% CI, 0.83-1.03), or lung (OR, 0.93; 95% CI, 0.87-1.00; weighted PRS OR, 0.68; 95% CI, 0.45-1.03) cancer. Similar results were seen for acute toxicity. Secondary analyses identified rs138944387 associated with breast pain (OR, 3.05; 95% CI, 1.86-5.01; P = 1.09 × 10-5) and rs17513613 with breast edema (OR, 0.94; 95% CI, 0.92-0.97; P = 1.08 × 10-5). CONCLUSIONS Patients with increased polygenic predisposition to breast, prostate, or lung cancer can safely undergo radiation therapy with no anticipated excess toxicity risk. Some individual SNPs increase the likelihood of a specific toxicity endpoint, warranting validation in independent cohorts and functional studies to elucidate biologic mechanisms.
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Affiliation(s)
- Gillian C Barnett
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, United Kingdom.
| | - Sarah L Kerns
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Miguel E Aguado-Barrera
- Fundación Pública Galega de Medicina Xenómica (FPGMX)-SERGAS, Santiago de Compostela, A Coruña, Spain; Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Laura Martínez-Calvo
- Fundación Pública Galega de Medicina Xenómica (FPGMX)-SERGAS, Santiago de Compostela, A Coruña, Spain; Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Harkeran K Jandu
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Ceilidh Welsh
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan Tyrer
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
| | - Charlotte E Coles
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, United Kingdom
| | - Joanne S Haviland
- Clinical Trials and Statistics Unit, Institute of Cancer Research, London, United Kingdom
| | - Christopher Parker
- Institute of Cancer Research & Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Antonio Gómez-Caamaño
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain
| | - Patricia Calvo-Crespo
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain
| | - Paloma Sosa-Fajardo
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain
| | - Neil G Burnet
- Proton Beam Therapy Centre, Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Holly Summersgill
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Adam Webb
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Dirk De Ruysscher
- Department of Radiation Oncology (Maastro Clinic), Maastricht University Medical Center, GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands; Radiation Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Germany
| | - Christopher J Talbot
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Tim Rattay
- Leicester Cancer Research Centre, University of Leicester, Leicester, United Kingdom
| | - Matthew Parliament
- Division of Radiation Oncology, Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Canada
| | - Kim De Ruyck
- Departments of Basic Medical Sciences and Radiotherapy, Ghent University Hospital, Ghent, Belgium
| | - Barry S Rosenstein
- Departments of Radiation Oncology and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
| | - Ana Vega
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom; Fundación Pública Galega de Medicina Xenómica (FPGMX)-SERGAS, Santiago de Compostela, A Coruña, Spain; Biomedical Network on Rare Diseases (CIBERER), Spain
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom
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22
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Gulli F, Geddes TJ, Pruetz BL, Wilson GD. Investigation of the physiological response of radiation-induced cystitis patients using hyperbaric oxygen. Clin Transl Radiat Oncol 2022; 38:104-110. [DOI: 10.1016/j.ctro.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/20/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
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23
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Abdelkarem OAI, Choudhury A, Burnet NG, Summersgill HR, West CML. Effect of Race and Ethnicity on Risk of Radiotherapy Toxicity and Implications for Radiogenomics. Clin Oncol (R Coll Radiol) 2022; 34:653-669. [PMID: 35431121 DOI: 10.1016/j.clon.2022.03.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/21/2022] [Accepted: 03/16/2022] [Indexed: 11/03/2022]
Abstract
AIMS Patient factors affect the risk of radiotherapy toxicity, but many are poorly defined. Studies have shown that race affects cancer incidence, survival, drug response, molecular pathways and epigenetics. Effects on radiosensitivity and radiotherapy toxicity are not well studied. The aim of the present study was to identify the effects of race and ethnicity on the risk of radiotherapy toxicity. MATERIALS AND METHODS A systematic review was carried out of PubMed, Ovid Medline and Ovid Embase with no year limit. PRISMA 2020 guidelines were followed. Two independent assessors reviewed papers. RESULTS Of 607 papers screened, 46 fulfilled the inclusion criteria. Papers were published between 1996 and 2021 and involved 30-28,354 individuals (median 433). Most involved patients with prostate (33%), breast (26%) and lung (9%) cancer. Both early and late toxicities were studied. Some studies reported a higher risk of toxicity in White men with prostate cancer compared with other races and ethnicities. For breast cancer patients, some reported an increased risk of toxicity in White women compared with other race and ethnic groups. In general, it was difficult to draw conclusions due to insufficient reporting and analysis of race and ethnicity in published literature. CONCLUSIONS Reporting of race and ethnicity in radiotherapy studies must be harmonised and improved and frameworks are needed to improve the quality of reporting. Further research is needed to understand how ancestral heritage might affect radiosensitivity and risk of radiotherapy toxicity.
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Affiliation(s)
- O A I Abdelkarem
- Chemical Pathology Department, Medical Research Institute, Alexandria University, Alexandria, Egypt; Translational Radiobiology Group, Division of Cancer Sciences, Manchester Academic Health Science Centre, The University of Manchester, Christie Hospital NHS Foundation Trust, Manchester, UK
| | - A Choudhury
- Proton Beam Therapy Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - N G Burnet
- Proton Beam Therapy Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - H R Summersgill
- Translational Radiobiology Group, Division of Cancer Sciences, Manchester Academic Health Science Centre, The University of Manchester, Christie Hospital NHS Foundation Trust, Manchester, UK
| | - C M L West
- Translational Radiobiology Group, Division of Cancer Sciences, Manchester Academic Health Science Centre, The University of Manchester, Christie Hospital NHS Foundation Trust, Manchester, UK.
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24
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Wang Y, Xiao F, Zhao Y, Mao CX, Yu LL, Wang LY, Xiao Q, Liu R, Li X, McLeod HL, Hu BW, Huang YL, Lv QL, Xie XX, Huang WH, Zhang W, Guo CX, Li JG, Yin JY. A two-stage genome-wide association study to identify novel genetic loci associated with acute radiotherapy toxicity in nasopharyngeal carcinoma. Mol Cancer 2022; 21:169. [PMID: 35999636 PMCID: PMC9400233 DOI: 10.1186/s12943-022-01631-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background Genetic variants associated with acute side effects of radiotherapy in nasopharyngeal carcinoma (NPC) remain largely unknown. Methods We performed a two-stage genome-wide association analysis including a total of 1084 patients, where 319 individuals in the discovery stage were genotyped for 688,783 SNPs using whole genome-wide screening microarray. Significant variants were then validated in an independent cohort of 765 patients using the MassARRAY system. Gene mapping, linkage disequilibrium, genome-wide association analysis, and polygenic risk score were conducted or calculated using FUMA, LDBlockShow, PLINK, and PRSice software programs, respectively. Results Five SNPs (rs6711678, rs4848597, rs4848598, rs2091255, and rs584547) showed statistical significance after validation. Radiotherapy toxicity was more serious in mutant minor allele carriers of all five SNPs. Stratified analysis further indicated that rs6711678, rs4848597, rs4848598, and rs2091255 correlated with skin toxicity in patients of EBV positive, late stage (III and IV), receiving both concurrent chemoradiotherapy and induction/adjuvant chemotherapy, and with OR values ranging from 1.92 to 2.66. For rs584547, high occurrence of dysphagia was found in A allele carriers in both the discovery (P = 1.27 × 10− 6, OR = 1.55) and validation (P = 0.002, OR = 4.20) cohorts. Furthermore, prediction models integrating both genetic and clinical factors for skin reaction and dysphagia were established. The area under curve (AUC) value of receiver operating characteristic (ROC) curves were 0.657 (skin reaction) and 0.788 (dysphagia). Conclusions Rs6711678, rs4848597, rs4848598, and rs2091255 on chromosome 2q14.2 and rs584547 were found to be novel risk loci for skin toxicity and dysphagia in NPC patients receiving radiotherapy. Trial registration Chinese Clinical Trial Register (registration number: ChiCTR-OPC-14005257 and CTXY-140007-2). Supplementary Information The online version contains supplementary material available at 10.1186/s12943-022-01631-8.
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Affiliation(s)
- Yang Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Fan Xiao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Yi Zhao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China.,Department of General Practice, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, P.R. China
| | - Chen-Xue Mao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Lu-Lu Yu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Lei-Yun Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Qi Xiao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Howard L McLeod
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China.,Geriatric Oncology Consortium, Tampa, FL, 33612, USA.,USF Taneja College of Pharmacy, Tampa, FL, 33612, USA
| | - Bi-Wen Hu
- Center of Clinical Pharmacology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, P. R. China
| | - Yu-Ling Huang
- Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029, P.R. China.,National Health Commission (NHC) Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang University), Nanchang, 330029, P.R. China
| | - Qiao-Li Lv
- Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029, P.R. China.,National Health Commission (NHC) Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang University), Nanchang, 330029, P.R. China
| | - Xiao-Xue Xie
- Departent of Radiotherapy, Hunan Provincial Tumor Hospital and Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, 410013, P.R. China
| | - Wei-Hua Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China.,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China
| | - Cheng-Xian Guo
- Center of Clinical Pharmacology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, P. R. China.
| | - Jin-Gao Li
- Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029, P.R. China. .,National Health Commission (NHC) Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma (Jiangxi Cancer Hospital of Nanchang University), Nanchang, 330029, P.R. China.
| | - Ji-Ye Yin
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China. .,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, P. R. China. .,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, P. R. China. .,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, Hunan, P.R. China. .,Hunan Key Laboratory of Precise Diagnosis and Treatment of Gastrointestinal Tumor, Changsha, 410078, P. R. China.
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25
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Azimzadeh O, Moertl S, Ramadan R, Baselet B, Laiakis EC, Sebastian S, Beaton D, Hartikainen JM, Kaiser JC, Beheshti A, Salomaa S, Chauhan V, Hamada N. Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. Int J Radiat Biol 2022; 98:1722-1751. [PMID: 35976069 DOI: 10.1080/09553002.2022.2110325] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Epidemiological studies have indicated that exposure of the heart to doses of ionizing radiation as low as 0.5 Gy increases the risk of cardiac morbidity and mortality with a latency period of decades. The damaging effects of radiation to myocardial and endothelial structures and functions have been confirmed radiobiologically at high dose, but much less is known at low dose. Integration of radiation biology and epidemiology data is a recommended approach to improve the radiation risk assessment process. The adverse outcome pathway (AOP) framework offers a comprehensive tool to compile and translate mechanistic information into pathological endpoints which may be relevant for risk assessment at the different levels of a biological system. Omics technologies enable the generation of large volumes of biological data at various levels of complexity, from molecular pathways to functional organisms. Given the quality and quantity of available data across levels of biology, omics data can be attractive sources of information for use within the AOP framework. It is anticipated that radiation omics studies could improve our understanding of the molecular mechanisms behind the adverse effects of radiation on the cardiovascular system. In this review, we explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed AOP for CVD. RESULTS The results of 80 omics studies published on radiation-induced CVD over the past 20 years have been discussed in the context of the AOP of CVD proposed by Chauhan et al. Most of the available omics data on radiation-induced CVD are from proteomics, transcriptomics, and metabolomics, whereas few datasets were available from epigenomics and multi-omics. The omics data presented here show great promise in providing information for several key events of the proposed AOP of CVD, particularly oxidative stress, alterations of energy metabolism, extracellular matrix and vascular remodeling. CONCLUSIONS The omics data presented here shows promise to inform the various levels of the proposed AOP of CVD. However, the data highlight the urgent need of designing omics studies to address the knowledge gap concerning different radiation scenarios, time after exposure and experimental models. This review presents the evidence to build a qualitative omics-informed AOP and provides views on the potential benefits and challenges in using omics data to assess risk-related outcomes.
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Affiliation(s)
- Omid Azimzadeh
- Federal Office for Radiation Protection (BfS), Section Radiation Biology, 85764 Neuherberg, Germany
| | - Simone Moertl
- Federal Office for Radiation Protection (BfS), Section Radiation Biology, 85764 Neuherberg, Germany
| | - Raghda Ramadan
- Institute for Environment, Health and Safety, Radiobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Bjorn Baselet
- Institute for Environment, Health and Safety, Radiobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.,Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC 20057, USA
| | | | | | - Jaana M Hartikainen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, and Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
| | - Jan Christian Kaiser
- Helmholtz Zentrum München, Institute of Radiation Medicine (HMGU-IRM), 85764 Neuherberg, Germany
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Sisko Salomaa
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Vinita Chauhan
- Environmental Health Science Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Nobuyuki Hamada
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Komae, Tokyo 201-8511, Japan
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26
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Green MD, Brenneman R, Powell SN, Bergom C. Harnessing the DNA Repair Pathway in Breast Cancer: Germline Mutations/Polymorphisms in Breast Radiation. Semin Radiat Oncol 2022; 32:298-302. [PMID: 35688528 DOI: 10.1016/j.semradonc.2022.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Molecular profiling facilitates opportunities for personalization of breast cancer management. Increasing availability of germline and somatic sequencing provides insight into predictors of treatment efficacy and treatment tolerance of patients with breast cancer. The presence of pathologic mutations can guide patient selection for breast conserving surgery vs mastectomy. However, our understanding of the interplay between genetic variants and radiotherapy responses and side effects remains incomplete. Here we review the available data on germline mutations and polymorphisms in breast cancer. We also outline their association with treatment tolerance, locoregional outcomes, and ongoing efforts to transform these insights into more effective treatment strategies in combination with radiotherapy.
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Affiliation(s)
- Michael D Green
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Department of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI; Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, MI; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI
| | - Randall Brenneman
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO
| | - Simon N Powell
- Department of Radiation Oncology and Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Carmen Bergom
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO.
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27
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Brand DH, Kirby AM, Yarnold JR, Somaiah N. How Low Can You Go? The Radiobiology of Hypofractionation. Clin Oncol (R Coll Radiol) 2022; 34:280-287. [PMID: 35260319 DOI: 10.1016/j.clon.2022.02.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/25/2022] [Accepted: 02/11/2022] [Indexed: 12/25/2022]
Abstract
Hypofractionated radical radiotherapy is now an accepted standard of care for tumour sites such as prostate and breast cancer. Much research effort is being directed towards more profoundly hypofractionated (ultrahypofractionated) schedules, with some reaching UK standard of care (e.g. adjuvant breast). Hypofractionation exerts varying influences on each of the major clinical end points of radiotherapy studies: acute toxicity, late toxicity and local control. This review will discuss these effects from the viewpoint of the traditional 5 Rs of radiobiology, before considering non-canonical radiobiological effects that may be relevant to ultrahypofractionated radiotherapy. The principles outlined here may assist the reader in their interpretation of the wealth of clinical data presented in the tumour site-specific articles in this special issue.
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Affiliation(s)
- D H Brand
- The Institute of Cancer Research, London, UK
| | - A M Kirby
- The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK
| | - J R Yarnold
- The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK
| | - N Somaiah
- The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK.
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28
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Schack LMH, Naderi E, Fachal L, Dorling L, Luccarini C, Dunning AM, Ong EHW, Chua MLK, Langendijk JA, Alizadeh BZ, Overgaard J, Eriksen JG, Andreassen CN, Alsner J. A genome-wide association study of radiotherapy induced toxicity in head and neck cancer patients identifies a susceptibility locus associated with mucositis. Br J Cancer 2022; 126:1082-1090. [PMID: 35039627 PMCID: PMC8980077 DOI: 10.1038/s41416-021-01670-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 11/21/2021] [Accepted: 12/06/2021] [Indexed: 01/21/2023] Open
Abstract
PURPOSE A two-stage genome-wide association study was carried out in head and neck cancer (HNC) patients aiming to identify genetic variants associated with either specific radiotherapy-induced (RT) toxicity endpoints or a general proneness to develop toxicity after RT. MATERIALS AND METHODS The analysis included 1780 HNC patients treated with primary RT for laryngeal or oro/hypopharyngeal cancers. In a non-hypothesis-driven explorative discovery study, associations were tested in 1183 patients treated within The Danish Head and Neck Cancer Group. Significant associations were later tested in an independent Dutch cohort of 597 HNC patients and if replicated, summary data obtained from discovery and replication studies were meta-analysed. Further validation of significantly replicated findings was pursued in an Asian cohort of 235 HNC patients with nasopharynx as the primary tumour site. RESULTS We found and replicated a significant association between a locus on chromosome 5 and mucositis with a pooled OR for rs1131769*C in meta-analysis = 1.95 (95% CI 1.48-2.41; ppooled = 4.34 × 10-16). CONCLUSION This first exploratory GWAS in European cohorts of HNC patients identified and replicated a risk locus for mucositis. A larger Meta-GWAS to identify further risk variants for RT-induced toxicity in HNC patients is warranted.
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Affiliation(s)
- Line M H Schack
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
| | - Elnaz Naderi
- University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Enya H W Ong
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore
| | - Melvin L K Chua
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Johannes A Langendijk
- University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands
| | - Behrooz Z Alizadeh
- University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Jesper Grau Eriksen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Christian Nicolaj Andreassen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Jan Alsner
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
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Berger T, Noble DJ, Shelley LE, Hopkins KI, McLaren DB, Burnet NG, Nailon WH. Response to letter to the editor of radiotherapy and oncology regarding the paper entitled “50 years of radiotherapy research: Evolution, trends and lessons for the future“ by Berger et al. (December 2021, Volume 165). Radiother Oncol 2022; 172:151-152. [DOI: 10.1016/j.radonc.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
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Brothwell MRS, Barnett GC. Cancer Genetics and Genomics - Part 1. Clin Oncol (R Coll Radiol) 2022; 34:e254-e261. [PMID: 35339325 DOI: 10.1016/j.clon.2022.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 01/24/2022] [Accepted: 02/16/2022] [Indexed: 11/03/2022]
Affiliation(s)
- M R S Brothwell
- Department of Oncology, Colchester Hospital, Colchester, UK.
| | - G C Barnett
- University of Cambridge, Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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31
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Kishan AU, Marco N, Schulz-Jaavall MB, Steinberg ML, Tran PT, Juarez JE, Dang A, Telesca D, Lilleby WA, Weidhaas JB. Germline variants disrupting microRNAs predict long-term genitourinary toxicity after prostate cancer radiation. Radiother Oncol 2022; 167:226-232. [PMID: 34990726 PMCID: PMC8979583 DOI: 10.1016/j.radonc.2021.12.040] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND PURPOSE The purpose of this study was to determine whether single nucleotide polymorphisms disrupting microRNA targets (mirSNPs) can serve as predictive biomarkers for toxicity after radiotherapy for prostate cancer and whether these may be differentially predictive depending on radiation fractionation. MATERIALS AND METHODS We identified 201 men treated with two forms of definitive radiotherapy for prostate cancer at two institutions: 108 men received conventionally-fractionated radiotherapy (CF-RT) and 93 received stereotactic body radiotherapy (SBRT). Germline DNA was evaluated for the presence of functional mirSNPs. Random forest, boosted trees and elastic net models were developed to predict late grade ≥2 GU toxicity by the RTOG scale. RESULTS The crude incidence of late grade ≥2 GU toxicity was 16% after CF-RT and 15% after SBRT. An elastic net model based on 22 mirSNPs differentiated CF-RT patients at high risk (71.5%) versus low risk (7.5%) for toxicity, with an area under the curve (AUC) values of 0.76-0.81. An elastic net model based on 32 mirSNPs differentiated SBRT patients at high risk (64.7%) versus low risk (3.9%) for toxicity, with an area under the curve (AUC) values of 0.81-0.87. These models were specific to treatment type delivered. Prospective studies are warranted to further validate these results. CONCLUSION Predictive models using germline mirSNPs have high accuracy for predicting late grade ≥2 GU toxicity after either CF-RT or SBRT, and are unique for each treatment, suggesting that germline predictors of late radiation sensitivity are fractionation-dependent. Prospective studies are warranted to further validate these results.
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Affiliation(s)
- Amar U. Kishan
- Department of Radiation Oncology, Los Angeles, United States,Department of Urology, University of California, Los Angeles, United States,Corresponding author at: Department of Radiation Oncology, Suite B265, 200 Medical Plaza, Los Angeles, CA 90095, United States. (A.U. Kishan)
| | - Nicholas Marco
- Department of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, United States
| | | | | | - Phuoc T. Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Jesus E. Juarez
- Department of Radiation Oncology, Los Angeles, United States
| | - Audrey Dang
- Department of Radiation Oncology, Los Angeles, United States
| | - Donatello Telesca
- Department of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, United States
| | - Wolfgang A. Lilleby
- Department of Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway
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Overgaard J, Aznar MC, Bacchus C, Coppes RP, Deutsch E, Georg D, Haustermans K, Hoskin P, Krause M, Lartigau EF, Lee AWM, Löck S, Offersen BV, Thwaites DI, van der Kogel AJ, van der Heide UA, Valentini V, Baumann M. Personalised radiation therapy taking both the tumour and patient into consideration. Radiother Oncol 2022; 166:A1-A5. [PMID: 35051440 DOI: 10.1016/j.radonc.2022.01.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 01/04/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark.
| | - Marianne C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, The Christie NHS Foundation Trust, United Kingdom
| | - Carol Bacchus
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rob P Coppes
- Departments of Radiation Oncology and Biomedical Sciences of Cells & Systems, Section Molecular Cell Biology, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Eric Deutsch
- Department of Radiation Oncology, Institut d'Oncologie Thoracique (IOT), Gustave Roussy, France
| | - Dietmar Georg
- Division Medical Radiation Physics, Department of Radiation Oncology, Medical University of Vienna/AKH Wien, Austria
| | - Karin Haustermans
- Department of Radiation Oncology, University Hospitals Leuven, Belgium
| | - Peter Hoskin
- Mount Vernon Cancer Centre and University of Manchester, United Kingdom
| | - Mechthild Krause
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Germany
| | - Eric F Lartigau
- Academic Department of Radiotherapy, Oscar Lambret Comprehensive Cancer Center, Lille, France
| | - Anne W M Lee
- Department of Clinical Oncology, University of Hong Kong - Shenzhen Hospital and University of Hong Kong, China
| | - Steffen Löck
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Germany
| | - Birgitte V Offersen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
| | - David I Thwaites
- Institute of Medical Physics, School of Physics, The University of Sydney, Australia; Medical Physics Group, Leeds Institute of Medical Research, School of Medicine, University of Leeds, United Kingdom
| | - Albert J van der Kogel
- Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Uulke A van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Vincenzo Valentini
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, UOC Radioterapia Oncologica, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
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Crovella S, Revelant A, Muraro E, Moura RR, Brandão L, Trovò M, Steffan A, Zacchi P, Zabucchi G, Minatel E, Borelli V. Biological Pathways Associated With the Development of Pulmonary Toxicities in Mesothelioma Patients Treated With Radical Hemithoracic Radiation Therapy: A Preliminary Study. Front Oncol 2021; 11:784081. [PMID: 35004305 PMCID: PMC8728021 DOI: 10.3389/fonc.2021.784081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/29/2021] [Indexed: 01/05/2023] Open
Abstract
Radical hemithoracic radiotherapy (RHR), after lung-sparing surgery, has recently become a concrete therapeutic option for malignant pleural mesothelioma (MPM), an asbestos-related, highly aggressive tumor with increasing incidence and poor prognosis. Although the toxicity associated to this treatment has been reduced, it is still not negligible and must be considered when treating patients. Genetic factors appear to play a role determining radiotherapy toxicity. The aim of this study is the identification of biological pathways, retrieved through whole exome sequencing (WES), possibly associated to the development of lung adverse effects in MPM patients treated with RHR. The study included individuals with MPM, treated with lung-sparing surgery and chemotherapy, followed by RHR with curative intent, and followed up prospectively for development of pulmonary toxicity. Due to the strong impact of grade 3 pulmonary toxicities on the quality of life, compared with less serious adverse events, for genetic analyses, patients were divided into a none or tolerable pulmonary toxicity (NoSTox) group (grade ≤2) and a severe pulmonary toxicity (STox) group (grade = 3). Variant enrichment analysis allowed us to identify different pathway signatures characterizing NoSTox and Stox patients, allowing to formulate hypotheses on the protection from side effects derived from radiotherapy as well as factors predisposing to a worst response to the treatment. Our findings, being aware of the small number of patients analyzed, could be considered a starting point for the definition of a panel of pathways, possibly helpful in the management of MPM patients.
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Affiliation(s)
- Sergio Crovella
- Department of Biological and Environmental Sciences, College of Arts and Sciences, University of Qatar, Doha, Qatar
| | - Alberto Revelant
- Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Elena Muraro
- Immunopathology and Biomarker Unit, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO) Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Ronald Rodrigues Moura
- Department of Advanced Diagnostics, Institute for Maternal and Child Health – Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) “Burlo Garofolo”, Trieste, Italy
| | - Lucas Brandão
- Department of Advanced Diagnostics, Institute for Maternal and Child Health – Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) “Burlo Garofolo”, Trieste, Italy
| | - Marco Trovò
- Radiation Oncology Department, Udine Academic Hospital, Udine, Italy
| | - Agostino Steffan
- Immunopathology and Biomarker Unit, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO) Istituti di Ricovero e Cura a Carattere Scientifico, Aviano, Italy
| | - Paola Zacchi
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | | | - Emilio Minatel
- Department of Radiation Oncology, Centro di Riferimento Oncologico di Aviano (CRO) Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Violetta Borelli
- Department of Life Sciences, University of Trieste, Trieste, Italy
- *Correspondence: Violetta Borelli ,
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Lapierre A, Gourgou S, Brengues M, Quéro L, Deutsch É, Milliat F, Riou O, Azria D. Tumour and normal tissue radiosensitivity. Cancer Radiother 2021; 26:96-103. [PMID: 34953704 DOI: 10.1016/j.canrad.2021.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The place of personalized treatments is highly increasing in medical and radiation oncology. During the last decades, a huge number of assays have been developed to predict responses of normal tissues and tumours. These tests have not yet been included into daily clinical practice but the recent developments of radiation oncology are paving the way of personalized strategies including the risk of tumour recurrence and normal tissue reactions. Concerning tumor radiosensitivity prediction, no test are currently used, even if the radiosensitivity index and the genome-based model for adjusting radiotherapy dose assays seem the most promising with level II of evidence. Commercial developments are under progress. Concerning normal tissue radiosensitivity prediction, single nucleotide polymorphims of prostate cancer patients and radiation-induced CD8 T-lymphocyte apoptosis breast and prostate assays are of level I of evidence. They can be proposed before the beginning of radiotherapy in order to propose personalized treatments according to both risks of tumour and normal tissue radiosensitivity. Commercial developments are also under way.
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Affiliation(s)
- A Lapierre
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Département de radiothérapie oncologie, centre hospitalier universitaire Lyon Sud, 165, chemin du Grand-Revoyet, 69495 Pierre-Bénite, France; Université de Lyon, 69000 Lyon, France
| | - S Gourgou
- Unité de biométrie, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - M Brengues
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - L Quéro
- Service de cancérologie-radiothérapie, hôpital Saint-Louis, 1, avenue Claude-Vellefeaux, 75475 Paris, France
| | - É Deutsch
- Département de radiothérapie, Gustave-Roussy Cancer Campus, 114, rue Édouard-Vaillant, 94800 Villejuif, France
| | - F Milliat
- 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
| | - O Riou
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France
| | - D Azria
- IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, ICM, Institut régional du cancer Montpellier, université de Montpellier, rue Croix-Verte, 34298 Montpellier cedex 05, France.
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35
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Naderi E, Crijns APG, Steenbakkers RJHM, van den Hoek JGM, Boezen HM, Alizadeh BZ, Langendijk JA. A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer. J Transl Med 2021; 19:481. [PMID: 34838041 PMCID: PMC8626989 DOI: 10.1186/s12967-021-03145-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/15/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Most head and neck cancer (HNC) patients receive radiotherapy (RT) and develop toxicities. This genome-wide association study (GWAS) was designed to identify single nucleotide polymorphisms (SNPs) associated with common acute radiation-induced toxicities (RITs) in an HNC cohort. METHODS A two-stage GWAS was performed in 1279 HNC patients treated with RT and prospectively scored for mucositis, xerostomia, sticky saliva, and dysphagia. The area under the curve (AUC) was used to estimate the average load of toxicity during RT. At the discovery study, multivariate linear regression was used in 957 patients, and the top-ranking SNPs were tested in 322 independent replication cohort. Next, the discovery and the replication studies were meta-analyzed. RESULTS A region on 5q21.3 containing 16 SNPs showed genome-wide (GW) significance association at P-value < 5.0 × 10-8 with patient-rated acute xerostomia in the discovery study. The top signal was rs35542 with an adjusted effect size of 0.17*A (95% CI 0.12 to 0.23; P-value < = 3.78 × 10-9). The genome wide significant SNPs were located within three genes (EFNA5, FBXL17, and FER). In-silico functional analysis showed these genes may be involved in DNA damage response and co-expressed in minor salivary glands. We found 428 suggestive SNPs (P-value < 1.0 × 10-5) for other toxicities, taken to the replication study. Eleven of them showed a nominal association (P-value < 0.05). CONCLUSIONS This GWAS suggested novel SNPs for patient-rated acute xerostomia in HNC patients. If validated, these SNPs and their related functional pathways could lead to a predictive assay to identify sensitive patients to radiation, which may eventually allow a more individualized RT treatment.
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Affiliation(s)
- Elnaz Naderi
- Department of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, HPC; DA 30, P.O. Box 30 001, 9700 RB, Groningen, The Netherlands.
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands.
| | - Anne Petra Gerarda Crijns
- Department of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, HPC; DA 30, P.O. Box 30 001, 9700 RB, Groningen, The Netherlands
| | | | - Johanna Geertruida Maria van den Hoek
- Department of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, HPC; DA 30, P.O. Box 30 001, 9700 RB, Groningen, The Netherlands
| | - Hendrika Marike Boezen
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Behrooz Ziad Alizadeh
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Johannes Albertus Langendijk
- Department of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, HPC; DA 30, P.O. Box 30 001, 9700 RB, Groningen, The Netherlands.
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Elbanna M, Chowdhury NN, Rhome R, Fishel ML. Clinical and Preclinical Outcomes of Combining Targeted Therapy With Radiotherapy. Front Oncol 2021; 11:749496. [PMID: 34733787 PMCID: PMC8558533 DOI: 10.3389/fonc.2021.749496] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/30/2021] [Indexed: 12/12/2022] Open
Abstract
In the era of precision medicine, radiation medicine is currently focused on the precise delivery of highly conformal radiation treatments. However, the tremendous developments in targeted therapy are yet to fulfill their full promise and arguably have the potential to dramatically enhance the radiation therapeutic ratio. The increased ability to molecularly profile tumors both at diagnosis and at relapse and the co-incident progress in the field of radiogenomics could potentially pave the way for a more personalized approach to radiation treatment in contrast to the current ‘‘one size fits all’’ paradigm. Few clinical trials to date have shown an improved clinical outcome when combining targeted agents with radiation therapy, however, most have failed to show benefit, which is arguably due to limited preclinical data. Several key molecular pathways could theoretically enhance therapeutic effect of radiation when rationally targeted either by directly enhancing tumor cell kill or indirectly through the abscopal effect of radiation when combined with novel immunotherapies. The timing of combining molecular targeted therapy with radiation is also important to determine and could greatly affect the outcome depending on which pathway is being inhibited.
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Affiliation(s)
- May Elbanna
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN, United States.,Indiana University Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Nayela N Chowdhury
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Ryan Rhome
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN, United States.,Indiana University Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Melissa L Fishel
- Indiana University Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States.,Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN, United States.,Department of Pediatrics and Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, United States
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Abbott EM, Falzone N, Lenzo N, Vallis KA. Combining External Beam Radiation and Radionuclide Therapies: Rationale, Radiobiology, Results and Roadblocks. Clin Oncol (R Coll Radiol) 2021; 33:735-743. [PMID: 34544640 DOI: 10.1016/j.clon.2021.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/30/2021] [Accepted: 09/03/2021] [Indexed: 12/29/2022]
Abstract
The emergence of effective radionuclide therapeutics, such as radium-223 dichloride, [177Lu]Lu-DOTA-TATE and [177Lu]Lu-PSMA ligands, over the last 10 years is driving a rapid expansion in molecular radiotherapy (MRT) research. Clinical trials that are underway will help to define optimal dosing protocols and identify groups of patients who are likely to benefit from this form of treatment. Clinical investigations are also being conducted to combine new MRT agents with other anticancer drugs, with particular emphasis on DNA repair inhibitors and immunotherapeutics. In this review, the case is presented for combining MRT with external beam radiotherapy (EBRT). The technical and dosimetric challenges of combining two radiotherapeutic modalities have impeded progress in the past. However, the need for research into the specific radiobiological effects of radionuclide therapy, which has lagged behind that for EBRT, has been recognised. This, together with innovations in imaging technology, MRT dosimetry tools and EBRT hardware, will facilitate the future use of this important combination of treatments.
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Affiliation(s)
- E M Abbott
- MIM Software Inc., Cleveland, Ohio, USA.
| | - N Falzone
- GenesisCare, Alexandria, New South Wales, Australia.
| | - N Lenzo
- GenesisCare Theranostics, St John of God Murdoch Cancer Centre, Murdoch, Western Australia, Australia; Department of Medicine, Notre Dame University Australia, Fremantle, Western Australia, Australia
| | - K A Vallis
- Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
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38
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Nuijens AC, Oei AL, van Oorschot B, Visser J, van Os RM, Moerland PD, Franken NAP, Rasch CRN, Stalpers LJA. Gamma-H2AX Foci Decay Ratio as a Stronger Predictive Factor of Late Radiation Toxicity Than Dose-Volume Parameters in a Prospective Cohort of Prostate Cancer Patients. Int J Radiat Oncol Biol Phys 2021; 112:212-221. [PMID: 34419566 DOI: 10.1016/j.ijrobp.2021.08.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/29/2021] [Accepted: 08/09/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Late radiation toxicity is a major dose-limiting factor in curative cancer radiation therapy. Previous studies identified several risk factors for late radiation toxicity, including both dose-volume factors and genetic predisposition. Herein, we investigated the contribution of genetic predisposition, particularly compared with dose-volume factors, to the risk of late radiation toxicity in patients treated with highly conformal radiation therapy. METHODS AND MATERIALS We included 179 patients with prostate cancer who underwent treatment with curative external beam radiation therapy between 2009 and 2013. Toxicity was graded according to the Common Terminology Criteria for Adverse Events version 4.0. Transcriptional responsiveness of homologous recombination repair genes and γ-H2AX foci decay ratios (FDRs) were determined in ex vivo irradiated lymphocytes in a previous analysis. Dose-volume parameters were retrieved by delineating the organs at risk (OARs) on CT planning images. Associations between risk factors and grade ≥2 urinary and bowel late radiation toxicities were assessed using univariable and multivariable logistic regression analyses. The analyses were performed using the highest toxicity grade recorded during the follow-up per patient. RESULTS The median follow-up period was 31 months. One hundred and one patients (56%) developed grade ≥2 late radiation toxicity. Cumulative rates for urinary and bowel grade ≥2 late toxicities were 46% and 17%, respectively. In the multivariable analysis, factors significantly associated with grade ≥2 late toxicity were transurethral resection of the prostate (P = .013), γ-H2AX FDR <3.41 (P = .008), and rectum V70 >11.52% (P = .017). CONCLUSIONS Our results suggest that impaired DNA double-strand break repair in lymphocytes, as quantified by γ-H2AX FDR, is the most critical determining factor of late radiation toxicity. The limited influence of dose-volume parameters could be due to the use of increasingly conformal techniques, leading to improved dose-volume parameters of the organs at risk.
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Affiliation(s)
- Anna C Nuijens
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands; Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Arlene L Oei
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands; Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Bregje van Oorschot
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands; Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Jorrit Visser
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Rob M van Os
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Perry D Moerland
- Bioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Nicolaas A P Franken
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands; Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Meibergdreef, Amsterdam, the Netherlands
| | - Coen R N Rasch
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lukas J A Stalpers
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef, Amsterdam, the Netherlands.
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Tinganelli W, Luoni F, Durante M. What can space radiation protection learn from radiation oncology? LIFE SCIENCES IN SPACE RESEARCH 2021; 30:82-95. [PMID: 34281668 DOI: 10.1016/j.lssr.2021.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/15/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
Protection from cosmic radiation of crews of long-term space missions is now becoming an urgent requirement to allow a safe colonization of the moon and Mars. Epidemiology provides little help to quantify the risk, because the astronaut group is small and as yet mostly involved in low-Earth orbit mission, whilst the usual cohorts used for radiation protection on Earth (e.g. atomic bomb survivors) were exposed to a radiation quality substantially different from the energetic charged particle field found in space. However, there are over 260,000 patients treated with accelerated protons or heavier ions for different types of cancer, and this cohort may be useful for quantifying the effects of space-like radiation in humans. Space radiation protection and particle therapy research also share the same tools and devices, such as accelerators and detectors, as well as several research topics, from nuclear fragmentation cross sections to the radiobiology of densely ionizing radiation. The transfer of the information from the cancer radiotherapy field to space is manifestly complicated, yet the two field should strengthen their relationship and exchange methods and data.
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Affiliation(s)
- Walter Tinganelli
- GSI Helmholtzzentrum für Schwerionenforschung, Biophysics Department, Darmstadt, Germany
| | - Francesca Luoni
- GSI Helmholtzzentrum für Schwerionenforschung, Biophysics Department, Darmstadt, Germany; Technische Universität Darmstadt, Institut für Physik Kondensierter Materie, Darmstadt, Germany
| | - Marco Durante
- GSI Helmholtzzentrum für Schwerionenforschung, Biophysics Department, Darmstadt, Germany; Technische Universität Darmstadt, Institut für Physik Kondensierter Materie, Darmstadt, Germany.
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Sargos P, Faye MD, Bacci M, Supiot S, Latorzeff I, Azria D, Niazi TM, Vuong T, Vendrely V, de Crevoisier R. Late Gastrointestinal Tolerance After Prostate Radiotherapy: Is the Anal Canal the Culprit? A Narrative Critical Review. Front Oncol 2021; 11:666962. [PMID: 34221983 PMCID: PMC8242201 DOI: 10.3389/fonc.2021.666962] [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: 02/11/2021] [Accepted: 05/13/2021] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Late gastro-intestinal toxicities (LGIT) secondary to pelvic radiotherapy (RT) are well described in the literature. LGIT are mainly related to rectal or ano-rectal irradiation; however, involvement of the anal canal (AC) in the occurrence of LGIT remains poorly described and understood. MATERIALS AND METHODS The aim of this work was to explore the potential role of the AC in the development of LGIT after prostate irradiation and identify predictive factors that could be optimized in order to limit these toxicities. This narrative literature review was realized using the Pubmed database. We identified original articles published between June 1997 and July 2019, relating to LGIT after RT for localized prostate cancer and for which AC was identified independently. Articles defining the AC as part of an anorectal or rectal volume only were excluded. RESULTS A history of abdominal surgery or cardio-vascular risk, anticoagulant or tobacco use, and the occurrence of acute GIT during RT increases the risk of LGIT. A dose-effect relationship was identified between dose to the AC and development of LGIT. Identification and contouring of the AC and adjacent anatomical structures (muscles or nerves) are justified to apply specific dose constraints. As a limitation, our review mainly considered on 3DCRT which is no longer the standard of care nowadays; we did not identify any reports in the literature using moderately hypofractionated RT for the prostate and AC specific dosimetry. CONCLUSION These results suggest that the AC may have an important role in the development of LGIT after pelvic RT for prostate cancer. The individualization of the AC during planning should be recommended in prospective studies.
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Affiliation(s)
- Paul Sargos
- Department of Radiation Oncology, Institut Bergonié, Bordeaux Cedex, France
| | - Mame Daro Faye
- Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada
| | - Manon Bacci
- Department of Radiation Oncology, Institut Bergonié, Bordeaux Cedex, France
| | - Stéphane Supiot
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest, Saint-Herblain, France
| | - Igor Latorzeff
- Department of Radiation Oncology, Clinique Pasteur, Toulouse, France
| | - David Azria
- Department of Radiation Oncology, Institut de Cancérologie de Montpellier, Montpellier, France
| | - Tamim M Niazi
- Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada
| | - Te Vuong
- Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada
| | - Véronique Vendrely
- Department of Radiation Oncology, Bordeaux University Hospital, Bordeaux, France
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Franco NR, Massi MC, Ieva F, Manzoni A, Paganoni AM, Zunino P, Veldeman L, Ost P, Fonteyne V, Talbot CJ, Rattay T, Webb A, Johnson K, Lambrecht M, Haustermans K, De Meerleer G, de Ruysscher D, Vanneste B, Van Limbergen E, Choudhury A, Elliott RM, Sperk E, Veldwijk MR, Herskind C, Avuzzi B, Noris Chiorda B, Valdagni R, Azria D, Farcy-Jacquet MP, Brengues M, Rosenstein BS, Stock RG, Vega A, Aguado-Barrera ME, Sosa-Fajardo P, Dunning AM, Fachal L, Kerns SL, Payne D, Chang-Claude J, Seibold P, West CML, Rancati T. Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity. Radiother Oncol 2021; 159:241-248. [PMID: 33838170 PMCID: PMC8754257 DOI: 10.1016/j.radonc.2021.03.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/19/2021] [Accepted: 03/17/2021] [Indexed: 12/03/2022]
Abstract
AIM To identify the effect of single nucleotide polymorphism (SNP) interactions on the risk of toxicity following radiotherapy (RT) for prostate cancer (PCa) and propose a new method for polygenic risk score incorporating SNP-SNP interactions (PRSi). MATERIALS AND METHODS Analysis included the REQUITE PCa cohort that received external beam RT and was followed for 2 years. Late toxicity endpoints were: rectal bleeding, urinary frequency, haematuria, nocturia, decreased urinary stream. Among 43 literature-identified SNPs, the 30% most strongly associated with each toxicity were tested. SNP-SNP combinations (named SNP-allele sets) seen in ≥10% of the cohort were condensed into risk (RS) and protection (PS) scores, respectively indicating increased or decreased toxicity risk. Performance of RS and PS was evaluated by logistic regression. RS and PS were then combined into a single PRSi evaluated by area under the receiver operating characteristic curve (AUC). RESULTS Among 1,387 analysed patients, toxicity rates were 11.7% (rectal bleeding), 4.0% (urinary frequency), 5.5% (haematuria), 7.8% (nocturia) and 17.1% (decreased urinary stream). RS and PS combined 8 to 15 different SNP-allele sets, depending on the toxicity endpoint. Distributions of PRSi differed significantly in patients with/without toxicity with AUCs ranging from 0.61 to 0.78. PRSi was better than the classical summed PRS, particularly for the urinary frequency, haematuria and decreased urinary stream endpoints. CONCLUSIONS Our method incorporates SNP-SNP interactions when calculating PRS for radiotherapy toxicity. Our approach is better than classical summation in discriminating patients with toxicity and should enable incorporating genetic information to improve normal tissue complication probability models.
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Affiliation(s)
| | - Michela Carlotta Massi
- MOX, Department of Mathematics, Politecnico di Milano, Italy; CADS-Center for Analysis, Decisions and Society, Human Technopole, Milan, Italy.
| | - Francesca Ieva
- MOX, Department of Mathematics, Politecnico di Milano, Italy; CADS-Center for Analysis, Decisions and Society, Human Technopole, Milan, Italy; CHRP-National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
| | - Andrea Manzoni
- MOX, Department of Mathematics, Politecnico di Milano, Italy.
| | - Anna Maria Paganoni
- MOX, Department of Mathematics, Politecnico di Milano, Italy; CADS-Center for Analysis, Decisions and Society, Human Technopole, Milan, Italy; CHRP-National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
| | - Paolo Zunino
- MOX, Department of Mathematics, Politecnico di Milano, Italy.
| | - Liv Veldeman
- Department of Human Structure and Repair, Ghent University, Belgium; Department of Radiation Oncology, Ghent University Hospital, Belgium.
| | - Piet Ost
- Department of Human Structure and Repair, Ghent University, Belgium; Department of Radiation Oncology, Ghent University Hospital, Belgium.
| | - Valérie Fonteyne
- Department of Human Structure and Repair, Ghent University, Belgium; Department of Radiation Oncology, Ghent University Hospital, Belgium.
| | - Christopher J Talbot
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, United Kingdom.
| | - Tim Rattay
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, United Kingdom.
| | - Adam Webb
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, United Kingdom.
| | - Kerstie Johnson
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, United Kingdom.
| | - Maarten Lambrecht
- Department of Radiation Oncology, University Hospitals Leuven, Belgium.
| | - Karin Haustermans
- Department of Radiation Oncology, University Hospitals Leuven, Belgium.
| | - Gert De Meerleer
- Department of Radiation Oncology, University Hospitals Leuven, Belgium.
| | - Dirk de Ruysscher
- Maastricht University Medical Center, the Netherlands; Department of Radiation Oncology (Maastro), GROW Institute for Oncology and Developmental Biology, Maastricht, the Netherlands.
| | - Ben Vanneste
- Department of Radiation Oncology (Maastro), GROW Institute for Oncology and Developmental Biology, Maastricht, the Netherlands.
| | - Evert Van Limbergen
- Maastricht University Medical Center, the Netherlands; Department of Radiation Oncology (Maastro), GROW Institute for Oncology and Developmental Biology, Maastricht, the Netherlands.
| | - Ananya Choudhury
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, UK.
| | - Rebecca M Elliott
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, UK.
| | - Elena Sperk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
| | - Marlon R Veldwijk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
| | - Carsten Herskind
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
| | - Barbara Avuzzi
- Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Barbara Noris Chiorda
- Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Riccardo Valdagni
- Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy; Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - David Azria
- Department of Radiation Oncology, University Federation of Radiation Oncology, Montpellier Cancer Institute, Univ Montpellier MUSE, France.
| | - Marie-Pierre Farcy-Jacquet
- Department of Radiation Oncology, University Federation of Radiation Oncology, Institut de Cancérologie du Gard, Nimes, France.
| | - Muriel Brengues
- Department of Radiation Oncology, University Federation of Radiation Oncology, Montpellier Cancer Institute, Univ Montpellier MUSE, France.
| | - Barry S Rosenstein
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA.
| | - Richard G Stock
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, USA.
| | - Ana Vega
- Grupo de Medicina Xenómica (USC), Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain; Biomedical Network on Rare Diseases (CIBERER), Spain.
| | - Miguel E Aguado-Barrera
- Grupo de Medicina Xenómica (USC), Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain.
| | - Paloma Sosa-Fajardo
- Grupo de Medicina Xenómica (USC), Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Spain; Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain.
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Labs, UK.
| | - Laura Fachal
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Labs, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
| | - Sarah L Kerns
- Departments of Radiation Oncology and Surgery, University of Rochester Medical Center, Rochester, USA.
| | - Debbie Payne
- Centre for Integrated Genomic Medical Research (CIGMR), University of Manchester, UK.
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Germany.
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital, UK.
| | - Tiziana Rancati
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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A retrospective analysis of cardiovascular adverse events associated with immune checkpoint inhibitors. CARDIO-ONCOLOGY 2021; 7:19. [PMID: 34049595 PMCID: PMC8161966 DOI: 10.1186/s40959-021-00106-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/04/2021] [Indexed: 12/11/2022]
Abstract
Background Modern therapies in oncology have increased cancer survivorship, as well as the incidence of cardiovascular adverse events. While immune checkpoint inhibitors have shown significant clinical impact in several cancer types, the incidence of immune-related cardiovascular (CV) adverse events poses an additional health concern and has been reported. Methods We performed a retrospective analysis of the FDA Adverse Event Reporting System data of suspect product reports for immunotherapy and classical chemotherapy from January 2010–March 2020. We identified 90,740 total adverse event reports related to immune checkpoint inhibitors and classical chemotherapy. Results We found that myocarditis was significantly associated with patients receiving anti-program cell death protein 1 (PD-1) or anti-program death ligand 1 (PD-L1), odds ratio (OR) = 23.86 (95% confidence interval [CI] 11.76–48.42, (adjusted p-value) q < 0.001), and combination immunotherapy, OR = 7.29 (95% CI 1.03–51.89, q = 0.047). Heart failure was significantly associated in chemotherapy compared to PD-(L)1, OR = 0.50 (95% CI 0.37–0.69, q < 0.001), CTLA4, OR = 0.08 (95% CI 0.03–0.20, q < 0.001), and combination immunotherapy, OR = 0.25 (95% CI 0.13–0.48, q < 0.001). Additionally, we observe a sex-specificity towards males in cardiac adverse reports for arrhythmias, OR = 0.81 (95% CI 0.75–0.87, q < 0.001), coronary artery disease, 0.63 (95% CI 0.53–0.76, q < 0.001), myocardial infarction, OR = 0.60 (95% CI 0.53–0.67, q < 0.001), myocarditis, OR = 0.59 (95% CI 0.47–0.75, q < 0.001) and pericarditis, OR = 0.5 (95% CI 0.35–0.73, q < 0.001). Conclusion Our study provides the current risk estimates of cardiac adverse events in patients treated with immunotherapy compared to conventional chemotherapy. Understanding the clinical risk factors that predispose immunotherapy-treated cancer patients to often fatal CV adverse events will be crucial in Cardio-Oncology management. Supplementary Information The online version contains supplementary material available at 10.1186/s40959-021-00106-x.
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Ferini G, Pergolizzi S. A Ten-year-long Update on Radiation Proctitis Among Prostate Cancer Patients Treated With Curative External Beam Radiotherapy. In Vivo 2021; 35:1379-1391. [PMID: 33910815 DOI: 10.21873/invivo.12390] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/07/2021] [Accepted: 02/12/2021] [Indexed: 02/07/2023]
Abstract
This comprehensive synopsis summarizes the most relevant information obtained from a systematic analysis of studies of the last decade on radiation proctitis, one of the most feared radioinduced side effects among prostate cancer patients treated with curative external beam radiotherapy. The present review provides a useful support to radiation oncologists for limiting the onset or improving the treatment of radiation proctitis. This work shows that the past decade was a harbinger of significant new evidence in technological advances and technical tricks to avoid radiation proctitis, in addition to dosimetric perspectives and goals, understanding of pathogenesis, diagnostic work-up and treatment. We believe that a well-rounded knowledge of such an issue is fundamental for its appropriate management.
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Affiliation(s)
| | - Stefano Pergolizzi
- Department of Biomedical and Dental Sciences, Morphological and Functional Images, University of Messina, Messina, Italy
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Lumniczky K, Impens N, Armengol G, Candéias S, Georgakilas AG, Hornhardt S, Martin OA, Rödel F, Schaue D. Low dose ionizing radiation effects on the immune system. ENVIRONMENT INTERNATIONAL 2021; 149:106212. [PMID: 33293042 PMCID: PMC8784945 DOI: 10.1016/j.envint.2020.106212] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/20/2020] [Accepted: 09/03/2020] [Indexed: 05/03/2023]
Abstract
Ionizing radiation interacts with the immune system in many ways with a multiplicity that mirrors the complexity of the immune system itself: namely the need to maintain a delicate balance between different compartments, cells and soluble factors that work collectively to protect, maintain, and restore tissue function in the face of severe challenges including radiation damage. The cytotoxic effects of high dose radiation are less relevant after low dose exposure, where subtle quantitative and functional effects predominate that may go unnoticed until late after exposure or after a second challenge reveals or exacerbates the effects. For example, low doses may permanently alter immune fitness and therefore accelerate immune senescence and pave the way for a wide spectrum of possible pathophysiological events, including early-onset of age-related degenerative disorders and cancer. By contrast, the so called low dose radiation therapy displays beneficial, anti-inflammatory and pain relieving properties in chronic inflammatory and degenerative diseases. In this review, epidemiological, clinical and experimental data regarding the effects of low-dose radiation on the homeostasis and functional integrity of immune cells will be discussed, as will be the role of immune-mediated mechanisms in the systemic manifestation of localized exposures such as inflammatory reactions. The central conclusion is that ionizing radiation fundamentally and durably reshapes the immune system. Further, the importance of discovery of immunological pathways for modifying radiation resilience amongst other research directions in this field is implied.
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Affiliation(s)
- Katalin Lumniczky
- National Public Health Centre, Department of Radiation Medicine, Budapest, Albert Florian u. 2-6, 1097, Hungary.
| | - Nathalie Impens
- Belgian Nuclear Research Centre, Biosciences Expert Group, Boeretang 200, 2400 Mol, Belgium.
| | - Gemma Armengol
- Unit of Biological Anthropology, Department of Animal Biology, Plant Biology and Ecology, Faculty of Biosciences, Universitat Autònoma de Barcelona, 08193-Bellaterra, Barcelona, Catalonia, Spain.
| | - Serge Candéias
- Université Grenoble-Alpes, CEA, CNRS, IRIG-LCBM, 38000 Grenoble, France.
| | - Alexandros G Georgakilas
- DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou 15780, Athens, Greece.
| | - Sabine Hornhardt
- Federal Office for Radiation Protection (BfS), Ingolstaedter Landstr.1, 85764 Oberschleissheim, Germany.
| | - Olga A Martin
- Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne 3052, Victoria, Australia.
| | - Franz Rödel
- Department of Radiotherapy and Oncology, University Hospital, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Dörthe Schaue
- Department of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA 90095-1714, USA.
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Aguado-Barrera ME, Martínez-Calvo L, Fernández-Tajes J, Calvo-Crespo P, Taboada-Valladares B, Lobato-Busto R, Gómez-Caamaño A, Vega A. Validation of Polymorphisms Associated with the Risk of Radiation-Induced Oesophagitis in an Independent Cohort of Non-Small-Cell Lung Cancer Patients. Cancers (Basel) 2021; 13:cancers13061447. [PMID: 33810047 PMCID: PMC8004670 DOI: 10.3390/cancers13061447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Genetic variants identified in association with radiation therapy side effects in non-small-cell lung cancer patients require an independent validation. Therefore, the aim of our study was to replicate, in an independent cohort, the analyses of previously published studies associating single-nucleotide polymorphisms with radiation-induced oesophagitis. Following the original models, 2 of the 18 variants associated with radiation-induced oesophagitis in non-small-cell lung cancer patients were confirmed. Furthermore, we meta-analysed our cohort together with those of the reference studies. Twelve variants located in genes of inflammation and DNA double-strand break repair pathways remained associated with oesophagitis. These variants could be included in models for clinical prediction of radiation-induced oesophagitis to evaluate their performance. Abstract Several studies have identified single-nucleotide polymorphisms (SNPs) associated with adverse effects in non-small-cell lung cancer (NSCLC) patients treated with radiation therapy. Here, using an independent cohort, we aimed to validate the reported associations. We selected 23 SNPs in 17 genes previously associated with radiation-induced oesophagitis for validation in a cohort of 178 Spanish NSCLC patients. Of them, 18 SNPs were finally analysed, following the methods described in the original published studies. Two SNPs replicated their association with radiation-induced oesophagitis (rs7165790 located in the BLM gene: odds ratio (OR) = 0.16, 95% CI = 0.04–0.65, p-value = 0.010; rs4772468 at FGF14: OR = 4.36, 95% CI = 1.15–16.46, p-value = 0.029). The SNP rs2868371 at HSPB1 was also validated but displayed an opposite effect to the formerly described (OR = 3.72; 95% CI = 1.49–9.25; p-value = 0.004). Additionally, we tested a meta-analytic approach including our results and the previous datasets reported in the referenced publications. Twelve SNPs (including the two previously validated) retained their statistically significant association with radiation-induced oesophagitis. This study strengthens the role of inflammation and DNA double-strand break repair pathways in the risk prediction of developing radiation-induced oesophagitis in NSCLC patients. The validated variants are good candidates to be evaluated in risk prediction models for patient stratification based on their radiation susceptibility.
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Affiliation(s)
- Miguel E. Aguado-Barrera
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Galega de Medicina Xenómica (FPGMX), 15706 Santiago de Compostela, A Coruña, Spain; (M.E.A.-B.); (L.M.-C.); (J.F.-T.)
| | - Laura Martínez-Calvo
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Galega de Medicina Xenómica (FPGMX), 15706 Santiago de Compostela, A Coruña, Spain; (M.E.A.-B.); (L.M.-C.); (J.F.-T.)
| | - Juan Fernández-Tajes
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Galega de Medicina Xenómica (FPGMX), 15706 Santiago de Compostela, A Coruña, Spain; (M.E.A.-B.); (L.M.-C.); (J.F.-T.)
| | - Patricia Calvo-Crespo
- Department of Radiation Oncology Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, A Coruña, Spain; (P.C.-C.); (B.T.-V.)
| | - Begoña Taboada-Valladares
- Department of Radiation Oncology Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, A Coruña, Spain; (P.C.-C.); (B.T.-V.)
| | - Ramón Lobato-Busto
- Department of Medical Physics Hospital Clínico Universitario de Santiago de Compostela Servizo Galego de Saúde (SERGAS), 15706 Santiago de Compostela, A Coruña, Spain;
| | - Antonio Gómez-Caamaño
- Department of Radiation Oncology, Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), 15706 Santiago de Compostela, A Coruña, Spain;
| | - Ana Vega
- Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Galega de Medicina Xenómica (FPGMX), Biomedical Network on Rare Diseases (CIBERER), 15706 Santiago de Compostela, A Coruña, Spain
- Correspondence: ; Tel.: +34-981-95-51-94
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Mahmood S, Bollipo S, Steele S, Bristow RG, Choudhury A, Oakland K, Martin J. It's All the RAVE: Time to Give up on the "Chronic Radiation Proctitis" Misnomer. Gastroenterology 2021; 160:635-638. [PMID: 33096102 DOI: 10.1053/j.gastro.2020.09.054] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 09/17/2020] [Accepted: 09/21/2020] [Indexed: 01/16/2023]
Affiliation(s)
- Sultan Mahmood
- Department of Medicine, University at Buffalo, Buffalo, New York
| | - Steven Bollipo
- School of Medicine and Public Health, University of Newcastle and, Department of Gastroenterology, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Scott Steele
- Department of Colorectal Surgery, Cleveland Clinic, Cleveland, Ohio
| | | | | | - Kathryn Oakland
- Department of Digestive Diseases, HCA Healthcare UK, London, UK
| | - Jarad Martin
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
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47
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Sailer S, Keller MA, Werner ER, Watschinger K. The Emerging Physiological Role of AGMO 10 Years after Its Gene Identification. Life (Basel) 2021; 11:life11020088. [PMID: 33530536 PMCID: PMC7911779 DOI: 10.3390/life11020088] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/21/2021] [Accepted: 01/21/2021] [Indexed: 02/07/2023] Open
Abstract
The gene encoding alkylglycerol monooxygenase (AGMO) was assigned 10 years ago. So far, AGMO is the only known enzyme capable of catalysing the breakdown of alkylglycerols and lyso-alkylglycerophospholipids. With the knowledge of the genetic information, it was possible to relate a potential contribution for mutations in the AGMO locus to human diseases by genome-wide association studies. A possible role for AGMO was implicated by genetic analyses in a variety of human pathologies such as type 2 diabetes, neurodevelopmental disorders, cancer, and immune defence. Deficient catabolism of stored lipids carrying an alkyl bond by an absence of AGMO was shown to impact on the overall lipid composition also outside the ether lipid pool. This review focuses on the current evidence of AGMO in human diseases and summarises experimental evidence for its role in immunity, energy homeostasis, and development in humans and several model organisms. With the progress in lipidomics platform and genetic identification of enzymes involved in ether lipid metabolism such as AGMO, it is now possible to study the consequence of gene ablation on the global lipid pool and further on certain signalling cascades in a variety of model organisms in more detail.
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Affiliation(s)
- Sabrina Sailer
- Biocenter, Institute of Biological Chemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.R.W.)
| | - Markus A. Keller
- Institute of Human Genetics, Medical University of Innsbruck, 6020 Innsbruck, Austria;
| | - Ernst R. Werner
- Biocenter, Institute of Biological Chemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.R.W.)
| | - Katrin Watschinger
- Biocenter, Institute of Biological Chemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria; (S.S.); (E.R.W.)
- Correspondence: ; Tel.: +43-512-9003-70344
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48
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Díaz-Gavela AA, Del Cerro Peñalver E, Sanchez García S, Leonardo Guerrero L, Sanz Rosa D, Couñago Lorenzo F. Breast cancer radiotherapy: What physicians need to know in the era of the precision medicine. Breast Dis 2021; 40:1-16. [PMID: 33554881 DOI: 10.3233/bd-201022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Breast cancer is the most common cancer in women worldwide and encompasses a broad spectrum of diseases in one with significant epidemiological, clinical, and biological heterogeneity, which determines a different natural history and prognostic profile. Although classical tumour staging (TNM) still provides valuable information, the current reality is that the clinicians must consider other biological and molecular factors that directly influence treatment decision-making. The management of breast cancer has changed radically in the last 15 years due to significant advances in our understanding of these tumours. This knowledge has brought with it a major impact regarding surgical and systemic management and has been practice-changing, but it has also created significant uncertainties regarding how best integrate the radiotherapy treatment into the therapeutic scheme. In parallel, radiotherapy itself has also experienced major advances, new radiobiological concepts have emerged, and genomic data and other patient-specific factors must now be integrated into individualised treatment approaches. In this context, "precision medicine" seeks to provide an answer to these open questions and uncertainties. The aim of the present review is to clarify the meaning of this term and to critically evaluate its role and impact on contemporary breast cancer radiotherapy.
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Affiliation(s)
- Ana Aurora Díaz-Gavela
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid, Spain
- Clinical Department, Faculty of Biomedicine, Universidad Europea, Madrid, Spain
| | - Elia Del Cerro Peñalver
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid, Spain
- Clinical Department, Faculty of Biomedicine, Universidad Europea, Madrid, Spain
| | - Sofía Sanchez García
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid, Spain
| | - Luis Leonardo Guerrero
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid, Spain
| | - David Sanz Rosa
- Clinical Department, Faculty of Biomedicine, Universidad Europea, Madrid, Spain
| | - Felipe Couñago Lorenzo
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid, Spain
- Clinical Department, Faculty of Biomedicine, Universidad Europea, Madrid, Spain
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49
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Jiang M, Yang J, Li K, Liu J, Jing X, Tang M. Insights into the theranostic value of precision medicine on advanced radiotherapy to breast cancer. Int J Med Sci 2021; 18:626-638. [PMID: 33437197 PMCID: PMC7797538 DOI: 10.7150/ijms.49544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/06/2020] [Indexed: 02/07/2023] Open
Abstract
Breast cancer is the most common cancer in women worldwide. "Breast cancer" encompasses a broad spectrum of diseases (i.e., subtypes) with significant epidemiological, clinical, and biological heterogeneity. Each of these subtypes has a different natural history and prognostic profile. Although tumour staging (TNM classification) still provides valuable information in the overall management of breast cancer, the current reality is that clinicians must consider other biological and molecular factors that directly influence treatment decision-making, including extent of surgery, indication for chemotherapy, hormonal therapy, and even radiotherapy (and treatment volumes). The management of breast cancer has changed radically in the last 15 years due to significant advances in our understanding of these tumours. While these changes have been extremely positive in terms of surgical and systemic management, they have also created significant uncertainties concerning integration of local and locoregional radiotherapy into the therapeutic scheme. In parallel, radiotherapy itself has also experienced major advances. Beyond the evident technological advances, new radiobiological concepts have emerged, and genomic data and other patient-specific factors must now be integrated into individualized treatment approaches. In this context, "precision medicine" seeks to provide an answer to these open questions and uncertainties. Although precision medicine has been much discussed in the last five years or so, the concept remains somewhat ambiguous, and it often appear to be used as a "catch-all" term. The present review aims to clarify the meaning of this term and, more importantly, to critically evaluate the role and impact of precision medicine on breast cancer radiotherapy. Finally, we will discuss the current and future of precision medicine in radiotherapy.
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Affiliation(s)
- Man Jiang
- 3 rd Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China.,Department of Oncology, Longgang District People's Hospital, Shenzhen 518172, China
| | - Jianshe Yang
- 3 rd Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China
| | - Kang Li
- 3 rd Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China
| | - Jia Liu
- 3 rd Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China
| | - Xigang Jing
- Medical College of Wisconsin (Milwaukee), Wisconsin 53226, USA
| | - Meiqin Tang
- 3 rd Affiliated Hospital of the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China.,Department of Hematology, Longgang District People's Hospital, Shenzhen 518172, China
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50
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Benitez CM, Knox SJ. Harnessing genome-wide association studies to minimize adverse radiation-induced side effects. Radiat Oncol J 2020; 38:226-235. [PMID: 33233031 PMCID: PMC7785837 DOI: 10.3857/roj.2020.00556] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 09/22/2020] [Indexed: 12/19/2022] Open
Abstract
Radiotherapy is used as definitive treatment in approximately two-thirds of all cancers. However, like any treatment, radiation has significant acute and long-term side effects including secondary malignancies. Even when similar radiation parameters are used, 5%–10% of patients will experience adverse radiation side effects. Genomic susceptibility is thought to be responsible for approximately 40% of the clinical variability observed. In the era of precision medicine, the link between genetic susceptibility and radiation-induced side effects is further strengthening. Genome-wide association studies (GWAS) have begun to identify single-nucleotide polymorphisms (SNPs) attributed to overall and tissue-specific toxicity following radiation for treatment of breast cancer, prostate cancer, and other cancers. Here, we review the use of GWAS in identifying polymorphisms that are predictive of acute and long-term radiation-induced side effects with a focus on chest, pelvic, and head-and-neck irradiation. Integration of GWAS with “omic” data, patient characteristics, and clinical correlates into predictive models could decrease radiation-induced side effects while increasing therapeutic efficacy.
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Affiliation(s)
- Cecil M Benitez
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Susan J Knox
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA, USA
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