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Rojas-Concha L, Arrarrás JI, Conroy T, Chalk T, Guberti M, Holzner B, Husson O, Kuliś D, Shamieh O, Piccinin C, Puga MJ, Rohde G, Groenvold M. Acceptability and usefulness of the EORTC 'Write In three Symptoms/Problems' (WISP): a brief open-ended instrument for symptom assessment in cancer patients. Health Qual Life Outcomes 2024; 22:28. [PMID: 38532393 DOI: 10.1186/s12955-024-02244-z] [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: 01/22/2024] [Accepted: 03/19/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND The use of open-ended questions supplementing static questionnaires with closed questions may facilitate the recognition of symptoms and toxicities. The open-ended 'Write In three Symptoms/Problems (WISP)' instrument permits patients to report additional symptoms/problems not covered by selected EORTC questionnaires. We evaluated the acceptability and usefulness of WISP with cancer patients receiving active and palliative care/treatment in Austria, Chile, France, Jordan, the Netherlands, Norway, Spain and the United Kingdom. METHODS We conducted a literature search on validated instruments for cancer patients including open-ended questions and analyzing their responses. WISP was translated into eight languages and pilot tested. WISP translations were pre-tested together with EORTC QLQ-C30, QLQ-C15-PAL and relevant modules, followed by patient interviews to evaluate their understanding about WISP. Proportions were used to summarize patient responses obtained from interviews and WISP. RESULTS From the seven instruments identified in the literature, only the free text collected from the PRO-CTAE has been analyzed previously. In our study, 161 cancer patients participated in the pre-testing and interviews (50% in active treatment). Qualitative interviews showed high acceptability of WISP. Among the 295 symptoms/problems reported using WISP, skin problems, sore mouth and bleeding were more prevalent in patients in active treatment, whereas numbness/tingling, dry mouth and existential problems were more prevalent in patients in palliative care/treatment. CONCLUSIONS The EORTC WISP instrument was found to be acceptable and useful for symptom assessment in cancer patients. WISP improves the identification of symptoms/problems not assessed by cancer-generic questionnaires and therefore, we recommend its use alongside the EORTC questionnaires.
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Affiliation(s)
- Leslye Rojas-Concha
- Department of Geriatrics and Palliative Medicine GP, Bispebjerg and Frederiksberg Hospitals, Palliative Care Research Unit, University of Copenhagen, Copenhagen, Denmark.
| | - Juan Ignacio Arrarrás
- Servicio Navarro de Salud, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Thierry Conroy
- Medical Oncology Department, Institut de Cancérologie de Lorraine, Vandoeuvre-Lès-Nancy, France
- Université de Lorraine, Inserm INSPIIRE, Nancy, France
| | - Tara Chalk
- Supportive Oncology Research Team, Mount Vernon Cancer Centre, East and North Hertfordshire NHS Trust, Northwood, HA6 2RN, UK
| | - Monica Guberti
- Azienda Unità Sanitaria Locale -IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Bernhard Holzner
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Olga Husson
- Department of Medical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands
- Department of Surgical Oncology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dagmara Kuliś
- Quality of Life Department, EORTC, Brussels, Belgium
| | - Omar Shamieh
- Department of Hospice, Palliative Medicine, King Hussein Cancer Center, Amman, Jordan
| | | | - María José Puga
- Unidad Alivio del Dolor y Cuidados Paliativos, Hospital Base Valdivia, Valdivia, Chile
| | - Gudrun Rohde
- Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
- Department of Clinical Research, Sorlandet Hospital, Kristiansand, Norway
| | - Mogens Groenvold
- Department of Geriatrics and Palliative Medicine GP, Bispebjerg and Frederiksberg Hospitals, Palliative Care Research Unit, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Health Services Research, University of Copenhagen, Copenhagen, Denmark
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He YQ, Wang TM, Yang DW, Xue WQ, Deng CM, Li DH, Zhang WL, Liao Y, Xiao RW, Luo LT, Diao H, Tong XT, Wu YX, Chen XY, Zhang JB, Zhou T, Li XZ, Zhang PF, Zheng XH, Zhang SD, Hu YZ, Zhou GQ, Ma J, Sun Y, Jia WH. A comprehensive predictive model for radiation-induced brain injury in risk stratification and personalized radiotherapy of nasopharyngeal carcinoma. Radiother Oncol 2024; 190:109974. [PMID: 37913956 DOI: 10.1016/j.radonc.2023.109974] [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: 03/13/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND AND PURPOSE Radiation-induced brain injury (RBI) is a severe radiotoxicity for nasopharyngeal carcinoma (NPC) patients, greatly affecting their long-term life quality and survival. We aim to establish a comprehensive predictive model including clinical factors and newly developed genetic variants to improve the precision of RBI risk stratification. MATERIALS AND METHODS By performing a large registry-based retrospective study with magnetic resonance imaging follow-up on RBI development, we conducted a genome-wide association study and developed a polygenic risk score (PRS) for RBI in 1189 NPC patients who underwent intensity-modulated radiotherapy. We proposed a tolerance dose scheme for temporal lobe radiation based on the risk predicted by PRS. Additionally, we established a nomogram by combining PRS and clinical factors for RBI risk prediction. RESULTS The 38-SNP PRS could effectively identify high-risk individuals of RBI (P = 1.42 × 10-34). Based on genetic risk calculation, the recommended tolerance doses of temporal lobes should be 57.6 Gy for individuals in the top 10 % PRS subgroup and 68.1 Gy for individuals in the bottom 50 % PRS. Notably, individuals with high genetic risk (PRS > P50) and receiving high radiation dose in the temporal lobes (D0.5CC > 65 Gy) had an approximate 50-fold risk over individuals with low PRS and receiving low radiation dose (HR = 50.09, 95 %CI = 24.27-103.35), showing an additive joint effect (Pinteraction < 0.001). By combining PRS with clinical factors including age, tumor stage, and radiation dose of temporal lobes, the predictive accuracy was significantly improved with C-index increased from 0.78 to 0.85 (P = 1.63 × 10-2). CONCLUSIONS The PRS, together with clinical factors, could improve RBI risk stratification and implies personalized radiotherapy.
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Affiliation(s)
- Yong-Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Da-Wei Yang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chang-Mi Deng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dan-Hua Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wen-Li Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ying Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ruo-Wen Xiao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lu-Ting Luo
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Hua Diao
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Xia-Ting Tong
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yan-Xia Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xue-Yin Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jiang-Bo Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ting Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xi-Zhao Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Pei-Fen Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiao-Hui Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Shao-Dan Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ye-Zhu Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Guan-Qun Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Jun Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
| | - Ying Sun
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-Sen University, Guangzhou, China.
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Zhong NN, Wang HQ, Huang XY, Li ZZ, Cao LM, Huo FY, Liu B, Bu LL. Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives. Semin Cancer Biol 2023; 95:52-74. [PMID: 37473825 DOI: 10.1016/j.semcancer.2023.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/11/2023] [Accepted: 07/15/2023] [Indexed: 07/22/2023]
Abstract
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate anatomical structure of these regions poses considerable challenges to efficacious treatment strategies. Despite the availability of myriad treatment modalities, the overall therapeutic efficacy for HNTs continues to remain subdued. In recent years, the deployment of artificial intelligence (AI) in healthcare practices has garnered noteworthy attention. AI modalities, inclusive of machine learning (ML), neural networks (NNs), and deep learning (DL), when amalgamated into the holistic management of HNTs, promise to augment the precision, safety, and efficacy of treatment regimens. The integration of AI within HNT management is intricately intertwined with domains such as medical imaging, bioinformatics, and medical robotics. This article intends to scrutinize the cutting-edge advancements and prospective applications of AI in the realm of HNTs, elucidating AI's indispensable role in prevention, diagnosis, treatment, prognostication, research, and inter-sectoral integration. The overarching objective is to stimulate scholarly discourse and invigorate insights among medical practitioners and researchers to propel further exploration, thereby facilitating superior therapeutic alternatives for patients.
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Affiliation(s)
- Nian-Nian Zhong
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Han-Qi Wang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Xin-Yue Huang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Zi-Zhan Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Lei-Ming Cao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Fang-Yi Huo
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Bing Liu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China; Department of Oral & Maxillofacial - Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
| | - Lin-Lin Bu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China; Department of Oral & Maxillofacial - Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
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4
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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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Yuan Y, Liu X, Dong Y, Zhang R, Meng Q, Dang X, Li L, Ren Y, Dong J. Association between single nucleotide polymorphism of DNA damage repair related genes and radiosensitivity in healthy individuals. RADIATION PROTECTION DOSIMETRY 2023; 199:1533-1538. [PMID: 37721085 DOI: 10.1093/rpd/ncad204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 05/17/2023] [Accepted: 06/18/2023] [Indexed: 09/19/2023]
Abstract
Radiosensitivity in humans can influence radiation-induced normal tissue toxicity. As radiosensitivity has a genetic predisposition, we aimed to investigate the possible association between four single nucleotide polymorphism (SNP) sites and the radiosensitivity in healthy people. We genotyped four selected SNPs: TRIP12 (rs13018957), UIMC1 (rs1700490) and POLN (rs2022302), and analyzed the association between SNP and the radiosensitivity in healthy people. We distinguished radiosensitivity by chromosome aberration analysis in healthy individuals. Healthy donors were classified into three groups based on chromosomal aberrations: resistant, normal and sensitive. Using the normal group as a reference, the genotypes CT and CC of rs13018957 (CT: OR = 26.13; CC: OR = 15.97), AA of rs1700490 (OR = 32.22) and AG of rs2022302 (OR = 13.98) were risk factors for radiosensitivity. The outcomes of the present study suggest that four SNPs are associated with radiosensitivity. This study lends insights to the underlying mechanisms of radiosensitivity and improves our ability to identify radiosensitive individuals.
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Affiliation(s)
- Yayi Yuan
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Xiaoming Liu
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Yuyang Dong
- Department of nuclear environment, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Ruifeng Zhang
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Qianqian Meng
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Xuhong Dang
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Lin Li
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Yue Ren
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
| | - Juancong Dong
- Department of Radiation Medicine and Environmental Medicine, China Institute for Radiation Protection, 102 Xuefu Street, Taiyuan City 030006, Shanxi Province, China
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6
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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: 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: 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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7
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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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8
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Te Beek ET, Burggraaf J, Teunissen JJM, Vriens D. Clinical Pharmacology of Radiotheranostics in Oncology. Clin Pharmacol Ther 2023; 113:260-274. [PMID: 35373336 DOI: 10.1002/cpt.2598] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/23/2022] [Indexed: 01/27/2023]
Abstract
The combined use of diagnostic and therapeutic radioligands with the same molecular target, also known as theranostics, enables accurate patient selection, targeted therapy, and prediction of treatment response. Radioiodine, bone-seeking radioligands and norepinephrine analogs have been used for many years for diagnostic imaging and radioligand therapy of thyroid carcinoma, bone metastases, pheochromocytoma, paraganglioma, and neuroblastoma, respectively. In recent years, radiolabeled somatostatin analogs and prostate-specific membrane antigen ligands have shown clinical efficacy in the treatment of neuroendocrine tumors and prostate cancer, respectively. Several candidate compounds are targeting novel theranostic targets such as fibroblast activation protein, C-X-C chemokine receptor 4, and gastrin-releasing peptide receptor. In addition, several strategies to improve efficacy of radioligand therapy are being evaluated, including dosimetry-based dose optimization, multireceptor targeting, upregulation of target receptors, radiosensitization, pharmacogenomics, and radiation genomics. Design and evaluation of novel radioligands and optimization of dose and dose schedules, within the complex context of individualized multimodal cancer treatment, requires a multidisciplinary approach that includes clinical pharmacology. Significant increases in the use of these radiopharmaceuticals in routine oncological practice can be expected, which will have major impact on patient care as well as (radio)pharmacy utilization.
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Affiliation(s)
- Erik T Te Beek
- Department of Nuclear Medicine, Reinier de Graaf Hospital, Delft, The Netherlands
| | | | - Jaap J M Teunissen
- Department of Nuclear Medicine, Reinier de Graaf Hospital, Delft, The Netherlands
| | - Dennis Vriens
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
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9
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Yu LL, Hu BW, Huang HX, Yu B, Xiao Q, Lv QL, Luo CH, Guo CX, Li JG, Xie XX, Yin JY. A two-stage genome-wide association study identifies novel germline genetic variations in CACNA2D3 associated with radiotherapy response in nasopharyngeal carcinoma. J Transl Med 2023; 21:11. [PMID: 36624463 PMCID: PMC9830790 DOI: 10.1186/s12967-022-03819-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/11/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Radiotherapy (RT) is the standard treatment for nasopharyngeal carcinoma (NPC). However, due to individual differences in radiosensitivity, biomarkers are needed to tailored radiotherapy to cancer patients. However, comprehensive genome-wide radiogenomic studies on them are still lacking. The aim of this study was to identify genetic variants associated with radiotherapy response in patients with NPC. METHODS This was a large‑scale genome-wide association analysis (GWAS) including a total of 981 patients. 319 individuals in the discovery stage were genotyped for 688,783 SNPs using whole genome-wide screening microarray. Significant loci were further genotyped using MassARRAY system and TaqMan SNP assays in the validation stages of 847 patients. This study used logistic regression analysis and multiple bioinformatics tools such as PLINK, LocusZoom, LDBlockShow, GTEx, Pancan-meQTL and FUMA to examine genetic variants associated with radiotherapy efficacy in NPC. RESULTS After genome-wide level analysis, 19 SNPs entered the validation stage (P < 1 × 10- 6), and rs11130424 ultimately showed statistical significance among these SNPs. The efficacy was better in minor allele carriers of rs11130424 than in major allele carriers. Further stratified analysis showed that the association existed in patients in the EBV-positive, smoking, and late-stage (III and IV) subgroups and in patients who underwent both concurrent chemoradiotherapy and induction/adjuvant chemotherapy. CONCLUSION Our study showed that rs11130424 in the CACNA2D3 gene was associated with sensitivity to radiotherapy in NPC patients. TRIAL REGISTRATION NUMBER Effect of genetic polymorphism on nasopharyngeal carcinoma chemoradiotherapy reaction, ChiCTR-OPC-14005257, Registered 18 September 2014, http://www.chictr.org.cn/showproj.aspx?proj=9546 .
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Affiliation(s)
- Lu-Lu Yu
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078 People’s Republic of China ,grid.216417.70000 0001 0379 7164Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078 Changsha, People’s Republic of China ,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078 People’s Republic of China ,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008 Hunan People’s Republic of China
| | - Bi-Wen Hu
- grid.216417.70000 0001 0379 7164Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013 Hunan People’s Republic of China
| | - Han-Xue Huang
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078 People’s Republic of China ,grid.216417.70000 0001 0379 7164Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078 Changsha, People’s Republic of China ,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078 People’s Republic of China ,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008 Hunan People’s Republic of China
| | - Bing Yu
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078 People’s Republic of China ,grid.216417.70000 0001 0379 7164Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078 Changsha, People’s Republic of China ,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078 People’s Republic of China ,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008 Hunan People’s Republic of China
| | - Qi Xiao
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078 People’s Republic of China ,grid.216417.70000 0001 0379 7164Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078 Changsha, People’s Republic of China ,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078 People’s Republic of China ,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008 Hunan People’s Republic of China
| | - Qiao-Li Lv
- grid.452533.60000 0004 1763 3891Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029 People’s Republic of China ,grid.452533.60000 0004 1763 3891National Health Commission (NHC) Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029 People’s Republic of China
| | - Chen-Hui Luo
- grid.216417.70000 0001 0379 7164Scientific Research Office, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Cheng-Xian Guo
- grid.216417.70000 0001 0379 7164Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013 Hunan People’s Republic of China
| | - Jin-Gao Li
- grid.452533.60000 0004 1763 3891Department of Radiation Oncology, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029 People’s Republic of China ,grid.452533.60000 0004 1763 3891National Health Commission (NHC) Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma, Jiangxi Cancer Hospital of Nanchang University, Nanchang, 330029 People’s Republic of China
| | - Xiao-Xue Xie
- grid.216417.70000 0001 0379 7164Department of Radiotherapy, Hunan Provincial Tumor Hospital and Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, 410013 People’s Republic of China ,grid.216417.70000 0001 0379 7164Department of Radiation Oncology, Hunan Cancer Hospital, Affiliated Hospital of Xiangya Medical School, Central South University, Changsha, 410013 People’s Republic of China
| | - Ji-Ye Yin
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078 People’s Republic of China ,grid.216417.70000 0001 0379 7164Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078 Changsha, People’s Republic of China ,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078 People’s Republic of China ,National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008 Hunan People’s Republic of China
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10
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He X, Liu X, Zuo F, Shi H, Jing J. Artificial intelligence-based multi-omics analysis fuels cancer precision medicine. Semin Cancer Biol 2023; 88:187-200. [PMID: 36596352 DOI: 10.1016/j.semcancer.2022.12.009] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/16/2022] [Accepted: 12/29/2022] [Indexed: 01/02/2023]
Abstract
With biotechnological advancements, innovative omics technologies are constantly emerging that have enabled researchers to access multi-layer information from the genome, epigenome, transcriptome, proteome, metabolome, and more. A wealth of omics technologies, including bulk and single-cell omics approaches, have empowered to characterize different molecular layers at unprecedented scale and resolution, providing a holistic view of tumor behavior. Multi-omics analysis allows systematic interrogation of various molecular information at each biological layer while posing tricky challenges regarding how to extract valuable insights from the exponentially increasing amount of multi-omics data. Therefore, efficient algorithms are needed to reduce the dimensionality of the data while simultaneously dissecting the mysteries behind the complex biological processes of cancer. Artificial intelligence has demonstrated the ability to analyze complementary multi-modal data streams within the oncology realm. The coincident development of multi-omics technologies and artificial intelligence algorithms has fuelled the development of cancer precision medicine. Here, we present state-of-the-art omics technologies and outline a roadmap of multi-omics integration analysis using an artificial intelligence strategy. The advances made using artificial intelligence-based multi-omics approaches are described, especially concerning early cancer screening, diagnosis, response assessment, and prognosis prediction. Finally, we discuss the challenges faced in multi-omics analysis, along with tentative future trends in this field. With the increasing application of artificial intelligence in multi-omics analysis, we anticipate a shifting paradigm in precision medicine becoming driven by artificial intelligence-based multi-omics technologies.
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Affiliation(s)
- Xiujing He
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Xiaowei Liu
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Fengli Zuo
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Hubing Shi
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Jing Jing
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China.
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11
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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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12
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Yahya N, Linge A, Leger K, Maile T, Kemper M, Haim D, Jöhrens K, Troost EGC, Krause M, Löck S. Assessment of gene expressions from squamous cell carcinoma of the head and neck to predict radiochemotherapy-related xerostomia and dysphagia. Acta Oncol 2022; 61:856-863. [PMID: 35657056 DOI: 10.1080/0284186x.2022.2081931] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
PURPOSE We tested the hypothesis that gene expressions from biopsies of locally advanced head and neck squamous cell carcinoma (HNSCC) patients can supplement dose-volume parameters to predict dysphagia and xerostomia following primary radiochemotherapy (RCTx). MATERIAL AND METHODS A panel of 178 genes previously related to radiochemosensitivity of HNSCC was considered for nanoString analysis based on tumour biopsies of 90 patients with locally advanced HNSCC treated by primary RCTx. Dose-volume parameters were extracted from the parotid, submandibular glands, oral cavity, larynx, buccal mucosa, and lips. Normal tissue complication probability (NTCP) models were developed for acute, late, and for the improvement of xerostomia grade ≥2 and dysphagia grade ≥3 using a cross-validation-based least absolute shrinkage and selection operator (LASSO) approach combined with stepwise logistic regression for feature selection. The final signatures were included in a logistic regression model with optimism correction. Performance was assessed by the area under the receiver operating characteristic curve (AUC). RESULTS NTCP models for acute and late xerostomia and the improvement of dysphagia resulted in optimism-corrected AUC values of 0.84, 0.76, and 0.70, respectively. The minimum dose to the contralateral parotid was selected for both acute and late xerostomia and the minimum dose to the larynx was selected for dysphagia improvement. For the xerostomia endpoints, the following gene expressions were selected: RPA2 (cellular response to DNA damage), TCF3 (salivary gland cells development), GBE1 (glycogen storage and regulation), and MAPK3 (regulation of cellular processes). No gene expression features were selected for the prediction of dysphagia. CONCLUSION This hypothesis-generating study showed the potential of improving NTCP models using gene expression data for HNSCC patients. The presented models require independent validation before potential application in clinical practice.
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Affiliation(s)
- Noorazrul Yahya
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Faculty of Health Sciences, National University of Malaysia, Kuala Lumpur, Malaysia
| | - Annett Linge
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Karoline Leger
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Till Maile
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Max Kemper
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Department of Otorhinolaryngology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Dominik Haim
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Korinna Jöhrens
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Institute of Pathology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Esther G. C. Troost
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
| | - Mechthild Krause
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden – Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Helmholtz-Zentrum Dresden - Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany
| | - 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, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
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13
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Zuo J, Zhang Z, Luo M, Zhou L, Nice EC, Zhang W, Wang C, Huang C. Redox signaling at the crossroads of human health and disease. MedComm (Beijing) 2022; 3:e127. [PMID: 35386842 PMCID: PMC8971743 DOI: 10.1002/mco2.127] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/25/2022] [Accepted: 03/01/2022] [Indexed: 02/06/2023] Open
Abstract
Redox biology is at the core of life sciences, accompanied by the close correlation of redox processes with biological activities. Redox homeostasis is a prerequisite for human health, in which the physiological levels of nonradical reactive oxygen species (ROS) function as the primary second messengers to modulate physiological redox signaling by orchestrating multiple redox sensors. However, excessive ROS accumulation, termed oxidative stress (OS), leads to biomolecule damage and subsequent occurrence of various diseases such as type 2 diabetes, atherosclerosis, and cancer. Herein, starting with the evolution of redox biology, we reveal the roles of ROS as multifaceted physiological modulators to mediate redox signaling and sustain redox homeostasis. In addition, we also emphasize the detailed OS mechanisms involved in the initiation and development of several important diseases. ROS as a double‐edged sword in disease progression suggest two different therapeutic strategies to treat redox‐relevant diseases, in which targeting ROS sources and redox‐related effectors to manipulate redox homeostasis will largely promote precision medicine. Therefore, a comprehensive understanding of the redox signaling networks under physiological and pathological conditions will facilitate the development of redox medicine and benefit patients with redox‐relevant diseases.
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Affiliation(s)
- Jing Zuo
- State Key Laboratory of Biotherapy and Cancer Center West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy Chengdu P. R. China
| | - Zhe Zhang
- State Key Laboratory of Biotherapy and Cancer Center West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy Chengdu P. R. China
| | - Maochao Luo
- State Key Laboratory of Biotherapy and Cancer Center West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy Chengdu P. R. China
| | - Li Zhou
- State Key Laboratory of Biotherapy and Cancer Center West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy Chengdu P. R. China
| | - Edouard C. Nice
- Department of Biochemistry and Molecular Biology Monash University Clayton Victoria Australia
| | - Wei Zhang
- West China Biomedical Big Data Center West China Hospital Sichuan University Chengdu P. R. China
- Mental Health Center and Psychiatric Laboratory The State Key Laboratory of Biotherapy West China Hospital of Sichuan University Chengdu P. R. China
| | - Chuang Wang
- Department of Pharmacology Provincial Key Laboratory of Pathophysiology, Ningbo University School of Medicine Ningbo Zhejiang P. R. China
| | - Canhua Huang
- State Key Laboratory of Biotherapy and Cancer Center West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy Chengdu P. R. China
- Department of Pharmacology Provincial Key Laboratory of Pathophysiology, Ningbo University School of Medicine Ningbo Zhejiang P. R. China
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14
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Córdoba EE, Lacunza E, Güerci AM. Clinical factors affecting the determination of radiotherapy-induced skin toxicity in breast cancer. Radiat Oncol J 2022; 39:315-323. [PMID: 34986553 PMCID: PMC8743461 DOI: 10.3857/roj.2020.00395] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 10/19/2021] [Indexed: 12/03/2022] Open
Abstract
Purpose Radiotherapy is essential for the treatment of breast cancer (BC). However, adverse effects may occur in healthy tissue, during treatment and even after several months. Although it is known that this clinical radiosensitivity is multifactorial, the factors involved are unknown yet. In this study, we evaluated the effect of these factors on the development of radiodermatitis in patients undergoing radiotherapy. Materials and Methods Demographic and lifestyle data collected during face-to-face interviews of 122 BC patients and data from clinical records were investigated. Most patients underwent conventional three-dimensional radiotherapy treatment. A total dose of 50 Gy was administered (2 Gy/day), followed by a boost in a tumor bed with a total dose of 18 Gy (2 Gy/day). Radiotoxicity was evaluated weekly using the Radiation Therapy Oncology Group classification system (range, 0 to 4, according to the severity). Results In the present study, 75.4% of patients presented acute skin toxic effects with different degrees of severity. In 25% of cases, these effects manifested at the end of the fourth week at a cumulative dose of 40 Gy. The association of grade ≥2 acute skin reactions with body mass index (BMI) and breast size and between grade 3–4 and age was positive compared with controls. However, the role of the other factors could not be confirmed. Conclusion Analysis of the factors related to individual radiosensitivity suggests that age, BMI and breast size play an important role in the development of acute skin toxicity during treatment. Particular attention to patients who present these characteristics would help to control treatment effectiveness and therefore optimize their quality of life.
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Affiliation(s)
- Elisa Eugenia Córdoba
- Department of Physics, School of Exact Sciences, National University of La Plata, Argentina.,Veterinary Genetics Institute (National Scientific and Technical Research Council-National University of La Plata) School of Veterinary Sciences, La Plata, Argentina
| | - Ezequiel Lacunza
- Basic and Applied Immunological Research Center, School of Medicine, National University of La Plata, Argentina
| | - Alba Mabel Güerci
- Department of Physics, School of Exact Sciences, National University of La Plata, Argentina.,Veterinary Genetics Institute (National Scientific and Technical Research Council-National University of La Plata) School of Veterinary Sciences, La Plata, Argentina
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15
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Bodei L, Kidd M, Modlin IM. Clinical and scientific considerations of genomics and metabolomics in radionuclide therapy. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00198-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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16
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Stanić J, Stanković V, Voštinić S, Nikitović M. Genetic predictors of radiation-induced morbidity in prostate cancer patients. MEDICINSKI PODMLADAK 2022. [DOI: 10.5937/mp73-32951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Cancer survivors often face adverse effects of treatment, which have a significant impact on morbidity and mortality. Normal-tissue side effects following radiotherapy (RT), as one of therapeutic modalities, are common and may seriously affect quality of life which is especially important in long-term prostate cancer (PC) survivors. Upgrading in our knowledge in radiation biology have led to the better understanding that genetics plays a significant role in determining a patient's predisposition to developing late RT toxicity, leading to the new field of research called "radiogenomics". With the evolution of DNA sequencing technologies and genomic analysis, radiogenomics made an appearance as a state-of-the-art science in the field of personalized medicine with the goal of detection the genetic determinants RT adverse reactions. A single-nucleotide polymorphism (SNPs) - based assay could be used to predict the risk of RT side effects along with clinical features and treatment factors. Several SNPs have been identified that are associated with late radiation-induced morbidity in PC patients. Most importantly, these SNPs make up genes expressed in the tissues that are likely at the root of these symptoms, including the bladder, rectum, and small intestine, which are most exposed in PC RT. Furthermore, genome-wide association studies are likely to lead to an increasing number of genetic polymorphisms that can predict long-term RT complications. Finally, radiogenomics attempts to predict which PC patients will show radiosensitivity, so that radiation oncologists, as well as surgeons, can change treatment accordingly in order to reduce side effects or increase the RT effectiveness.
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17
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Xie Y, Wang Q, Hu T, Chen R, Wang J, Chang H, Cheng J. Risk Factors Related to Acute Radiation Dermatitis in Breast Cancer Patients After Radiotherapy: A Systematic Review and Meta-Analysis. Front Oncol 2021; 11:738851. [PMID: 34912704 PMCID: PMC8667470 DOI: 10.3389/fonc.2021.738851] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/05/2021] [Indexed: 12/17/2022] Open
Abstract
Background Acute radiation dermatitis (ARD) is the most common acute response after adjuvant radiotherapy in breast cancer patients and negatively affects patients’ quality of life. Some studies have reported several risk factors that can predict breast cancer patients who are at a high risk of ARD. This study aimed to identify patient- and treatment-related risk factors associated with ARD. Methods PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and WanFang literature databases were searched for studies exploring the risk factors in breast cancer patients. The pooled effect sizes, relative risks (RRs), and 95% CIs were calculated using the random-effects model. Potential heterogeneity and sensitivity analyses by study design, ARD evaluation scale, and regions were also performed. Results A total of 38 studies composed of 15,623 breast cancer patients were included in the analysis. Of the seven available patient-related risk factors, four factors were significantly associated with ARD: body mass index (BMI) ≥25 kg/m2 (RR = 1.11, 95% CI = 1.06–1.16, I2 = 57.1%), large breast volume (RR = 1.02, 95% CI = 1.01–1.03, I2 = 93.2%), smoking habits (RR = 1.70, 95% CI = 1.24–2.34, I2 = 50.7%), and diabetes (RR = 2.24, 95% CI = 1.53–3.27, I2 = 0%). Of the seven treatment-related risk factors, we found that hypofractionated radiotherapy reduced the risk of ARD in patients with breast cancer compared with that in conventional fractionated radiotherapy (RR = 0.28, 95% CI = 0.19–0.43, I2 = 84.5%). Sequential boost and bolus use was significantly associated with ARD (boost, RR = 1.91, 95% CI = 1.34–2.72, I2 = 92.5%; bolus, RR = 1.94, 95% CI = 1.82–4.76, I2 = 23.8%). However, chemotherapy regimen (RR = 1.17, 95% CI = 0.95–1.45, I2 = 57.2%), hormone therapy (RR = 1.35, 95% CI = 0.94–1.93, I2 = 77.1%), trastuzumab therapy (RR = 1.56, 95% CI = 0.18–1.76, I2 = 91.9%), and nodal irradiation (RR = 1.57, 95% CI = 0.98–2.53, I2 = 72.5%) were not correlated with ARD. Sensitivity analysis results showed that BMI was consistently associated with ARD, while smoking, breast volume, and boost administration were associated with ARD depending on study design, country of study, and toxicity evaluation scale used. Hypofractionation was consistently shown as protective. The differences between study design, toxicity evaluation scale, and regions might explain a little of the sources of heterogeneity. Conclusion The results of this systematic review and meta-analysis indicated that BMI ≥ 25 kg/m2 was a significant predictor of ARD and that hypofractionation was consistently protective. Depending on country of study, study design, and toxicity scale used, breast volume, smoking habit, diabetes, and sequential boost and bolus use were also predictive of ARD.
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Affiliation(s)
- Yuxiu Xie
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiong Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Hu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Renwang Chen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jue Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haiyan Chang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Cheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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18
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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: 7] [Impact Index Per Article: 2.3] [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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19
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Hadianamrei R, Tomeh MA, Brown S, Wang J, Zhao X. Correlation between the secondary structure and surface activity of β-sheet forming cationic amphiphilic peptides and their anticancer activity. Colloids Surf B Biointerfaces 2021; 209:112165. [PMID: 34715505 DOI: 10.1016/j.colsurfb.2021.112165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/07/2021] [Accepted: 10/16/2021] [Indexed: 01/01/2023]
Abstract
Cancer is one of the main causes of death worldwide. The current cancer treatment strategies often lack selectivity for cancer cells resulting in dose-limiting adverse effects and reduced quality of life. Recently, anticancer peptides (ACPs) have emerged as an alternative treatment with higher selectivity, less adverse effects, and lower propensity for drug resistance. However, most of the current studies on the ACPs are focused on α-helical ACPs and there is lack of systematic studies on β-sheet forming ACPs. Herein we report the development of a new series of rationally designed short cationic amphiphilic β-sheet forming ACPs and their structure activity relationship. The peptides had the general formula (XY1XY2)3, with X representing hydrophobic amino acids (isoleucine (I) or leucine (L)), Y1 and Y2 representing cationic amino acids (arginine (R) or lysine (K)). The cytotoxicity of the designed ACPs in HCT 116 colorectal cancer, HeLa cervical cancer and human dermal fibroblast (HDF) cells was assessed by MTT test. The physicochemical properties of the peptides were characterized by various techniques including RP-HPLC, LC-MS, and Circular Dichroism (CD) spectroscopy. The surface activity of the peptides at the air-water interface and their interaction with the lipid monolayers as models for cell membranes were studied by Langmuir trough. The peptides consisting of I with R and K had selective anticancer activity while the combination of L and R diminished the anticancer activity of the peptides but rendered them more toxic to HDFs. The anticancer activity of the peptides was directed by their surface activity (amphiphilicity) and their secondary structure in hydrophobic surfaces including cancer cell membranes. The selectivity of the peptides for cancer cells was a result of their higher penetration into cancer cell membranes compared to normal cell membranes. The peptides exerted their anticancer activity by disrupting the mitochondrial membranes and eventually apoptosis. The results presented in this study provide an insight into the structure-activity relationship of this class of ACPs which can be employed as guidance to design new ACPs with improved anticancer activity and lower toxicity against normal cells.
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Affiliation(s)
- Roja Hadianamrei
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK
| | - Mhd Anas Tomeh
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK
| | - Stephen Brown
- Department of Biomedical Science, University of Sheffield, S10 2TN, UK
| | - Jiqian Wang
- Centre for Bioengineering and Biotechnology, China University of Petroleum (East China), Qingdao 266555, China
| | - Xiubo Zhao
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK; School of Pharmacy, Changzhou University, Changzhou 213164, China.
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20
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Brayner Cavalcanti M, Bezerra Leite LL, Manoel de Queiroz D, de Salazar E Fernandes T, Mendes de Oliveira WL, Pereira MC, da Rocha Pitta MG, de Melo Rêgo MJB, Dos Santos Júnior JA, Herrero Fernández Z, Rodrigues Cravo Teixeira D, Galdino da Rocha Pitta M, da Rocha Pitta I, César Dantas S, Cavalcante Veras R, Almeida de Medeiros I, Borges da Silva E. Evaluation of the action of LPSF/GQ-16 on cytokines and PPAR-γ gene expression after in vitro irradiation of peripheral blood mononuclear cells. Int J Radiat Biol 2021; 97:1649-1656. [PMID: 34586957 DOI: 10.1080/09553002.2021.1987556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE Patients submitted to radiotherapy (RT) may present in their healthy tissues surrounding the treated tumor, some typical acute inflammatory reactions induced by ionizing radiation (IR). The manifestation of inflammatory processes is a result of exacerbation of the immune system, as a response to radiation exposure, and this can be a limiting factor for RT protocols. To counteract this, some thiazolidinediones, such as LPSF/GQ-16, may be useful for modulating the patient's radioinduced inflammatory response in normal tissues. In this context, the present work aims to evaluate the activity of LPSF/GQ-16 on the levels of cytokines and the expression of the gene PPARγ in mononuclear cells irradiated in vitro, to analyze the immunomodulatory activity of the molecule and its action on radiomitigation. MATERIALS AND METHODS For this, blood samples from eight donors were collected and irradiated with 2 Gy, then the PBMC (peripheral blood mononuclear cells) were cultured and treated with LPSF/GQ-16. The levels of cytokines TNF-α, IFN-γ, IL-2 and IL-4 were quantified by CBA, while the genes of TNF-α, IFN-γ and PPARγ were analyzed by RT-PCR. RESULTS LPSF/GQ-16 significantly reduced the expression of proinflammatory cytokines (IFN-γ and TNF-α) in irradiated and nonirradiated groups. There was no significant reduction of anti-inflammatory cytokines (IL-2 and IL-4) by LPSF/GQ-16. The mRNA expression of PPAR-γ, IFN-γ and TNF-α in the presence of LPSF/GQ-16 was higher in the nonirradiated sample. CONCLUSION LPSF/GQ-16 showed effective activity after irradiation, with an important immunomodulatory activity in irradiated PBMCs.
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Affiliation(s)
- Mariana Brayner Cavalcanti
- Grupo de Radioecologia, Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil
| | - Lídia Lúcia Bezerra Leite
- Grupo de Estudos em Radioproteção e Radioecologia (GERAR), Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil
| | - Diogo Manoel de Queiroz
- Grupo de Estudos em Radioproteção e Radioecologia (GERAR), Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil
| | - Thiago de Salazar E Fernandes
- Grupo de Radioecologia, Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil.,Departamento de Biofísica e Radiobiologia, Universidade Federal de Pernambuco, Recife, Brazil
| | - Wagner Luís Mendes de Oliveira
- Laboratório de Imunomodulação e Novas Abordagens Terapêuticas (LINAT), Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Michelly Cristiny Pereira
- Laboratório de Imunomodulação e Novas Abordagens Terapêuticas (LINAT), Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Maíra Galdino da Rocha Pitta
- Laboratório de Imunomodulação e Novas Abordagens Terapêuticas (LINAT), Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Moacyr Jesus Barreto de Melo Rêgo
- Laboratório de Imunomodulação e Novas Abordagens Terapêuticas (LINAT), Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | | | - Zahily Herrero Fernández
- Grupo de Radioecologia, Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil
| | - Diego Rodrigues Cravo Teixeira
- Laboratório de Planejamento e Síntese de Fármacos, Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Marina Galdino da Rocha Pitta
- Laboratório de Planejamento e Síntese de Fármacos, Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Ivan da Rocha Pitta
- Laboratório de Planejamento e Síntese de Fármacos, Núcleo de Pesquisas em Inovação Terapêutica Suely Galdino (NUPIT SG), Universidade Federal de Pernambuco, Recife, Brazil
| | - Samuel César Dantas
- Centro de Radioterapia, Instituto Materno Infantil prof. Antônio Figueira, Recife, Brazil
| | - Robson Cavalcante Veras
- Instituto de Pesquisa em Fármacos e Medicamentos (IPeFarM/UFPB), Departamento de Ciências Farmacêuticas, Centro de Ciências da Saúde - Campus I, Universidade Federal da Paraíba, João Pessoa, Brazil
| | - Isac Almeida de Medeiros
- Instituto de Pesquisa em Fármacos e Medicamentos (IPeFarM/UFPB), Departamento de Ciências Farmacêuticas, Centro de Ciências da Saúde - Campus I, Universidade Federal da Paraíba, João Pessoa, Brazil
| | - Edvane Borges da Silva
- Grupo de Estudos em Radioproteção e Radioecologia (GERAR), Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Recife, Brazil.,Centro Acadêmico de Vitória (CAV), Universidade Federal de Pernambuco, Recife, Brazil
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21
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Hadianamrei R, Tomeh MA, Brown S, Wang J, Zhao X. Rationally designed short cationic α-helical peptides with selective anticancer activity. J Colloid Interface Sci 2021; 607:488-501. [PMID: 34509120 DOI: 10.1016/j.jcis.2021.08.200] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/08/2021] [Accepted: 08/30/2021] [Indexed: 02/08/2023]
Abstract
HYPOTHESIS Naturally derived or synthetic anticancer peptides (ACPs) have emerged as a new generation of anticancer agents with higher selectivity for cancer cells and less propensity for drug resistance. Despite the structural diversity of ACPs, α-helix is the most common secondary structure among them. Herein we report the development of a new library of short cationic amphiphilic α-helical ACPs with selective cytotoxicity against colorectal and cervical cancer. EXPERIMENTS The peptides had a general formula C(XXYY)3 with C representing amino acid cysteine (providing a -SH group for molecular conjugation), X representing hydrophobic amino acids (isoleucine (I) or leucine (L)), and Y representing cationic amino acids (arginine (R) or lysine (K)). Two variants of the peptides were synthesized by adding additional Isoleucine residues to the C-terminal and replacing the N-terminal cysteine with LC-propargylglycine (LC-G) to investigate the effect of N-terminal and C-terminal variation on the anticancer activity. The structure and physicochemical properties of the peptides were determined by RP-HPLC, LC-MS and CD spectroscopy. The cytotoxicity of the peptides in different cell lines was assessed by MTT test, cell proliferation assay and mitochondrial damage assay. The mechanism of cell selectivity of the peptides was investigated by studying their interfacial behaviour at the air/water and lipid/water interface using Langmuir trough. FINDINGS The peptides consisting of K residues in their hydrophilic domains exhibited more selective anticancer activity whereas the peptides containing R exhibited strong toxicity in normal cells. The anticancer activity of the peptides was a function of their helical content and their hydrophobicity. Therefore, the addition of two I residues at C-terminal enhanced the anticancer activity of the peptides by increasing their hydrophobicity and their helical content. These two variants also exhibited strong anticancer activity against colorectal cancer multicellular tumour spheroids (MCTS). The higher toxicity of the peptides in cancer cells compared to normal cells was the result of higher penetration into the negatively charged cancer cell membranes, leading to higher cellular uptake, and their cytotoxic effect was mainly exerted by damaging the mitochondrial membranes leading to apoptosis. The results from this study provide a basis for rational design of new α-helical ACPs with enhanced anticancer activity and selectivity.
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Affiliation(s)
- Roja Hadianamrei
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK
| | - Mhd Anas Tomeh
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK
| | - Stephen Brown
- Department of Biomedical Science, University of Sheffield, S10 2TN, UK
| | - Jiqian Wang
- Centre for Bioengineering and Biotechnology, China University of Petroleum (East China), Qingdao 266555, China
| | - Xiubo Zhao
- Department of Chemical and Biological Engineering, University of Sheffield, S1 3JD, UK; School of Pharmacy, Changzhou University, Changzhou 213164, China.
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22
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Almalki A, Abutaha N, Al-Doaiss AA, Mohammed AZ, Wadaan MA. Cytotoxicity, in vivo toxicity, and chemical composition of the hexane extract of Plectranthus amboinicus (Lour.) Spreng. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:48141-48153. [PMID: 33899147 DOI: 10.1007/s11356-021-13796-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/31/2021] [Indexed: 06/12/2023]
Abstract
Cancer is a universal health issue, and many anticancer therapeutic drugs have been isolated from natural products. This study analyzed the cytotoxic and apoptotic activity of Plectranthus amboinicus leaf hexane (PALH) extract in MDA-MB-231 (median inhibitory concentration [IC50] = 39.26 μg/mL) and MCF7 (IC50 = 89.05 μg/mL) breast cancer cell lines. Cells appeared rounded and shrunken, indicating morphological changes due to apoptosis induction. The primary constituent of PALH was phenol, 5-methyl-2-(1-methylethyl) (44%). PALH extract treatment increased the percentage of late apoptotic cells in the MDA-MB231 cell line (58% ± 1.5% at 200 μg/mL) compared to the control group, as evidenced by the activated caspase-3 and caspase-7 identified and captured by fluorescence microscopy. The relative migration rate in MDA-MB-231 cells treated with 10 μg/mL of PALH extract for 48 h was significantly lower compared to the control group. Analysis of acute (2000 mg/kg/BW) and subacute (250 and 500 mg/kg/BW) toxicity of PALH extract in mice showed no mortality or adverse effects in the kidney and liver histology compared to the control group. PALH extract can be considered nontoxic as it does not cause any adverse changes and so can be proposed as a potential breast anticancer agent.
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Affiliation(s)
- Ahmed Almalki
- National Center for Environmental Technology (NCET) King Abdulaziz City for Science and Technology (KACST), Life Sciences and Environment Research Institute (LSERI), Riyadh, 11442, Saudi Arabia
| | - Nael Abutaha
- Department of Zoology College of Science, Bioproducts Research Chair King Saud University, Riyadh, 11451, Saudi Arabia.
| | - Amin A Al-Doaiss
- Department of Biology College of Science, King Khalid University, Abha, Saudi Arabia
| | - Al-Zahrani Mohammed
- College of Science, Biology Department, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Muhammad A Wadaan
- Department of Zoology College of Science, Bioproducts Research Chair King Saud University, Riyadh, 11451, Saudi Arabia
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23
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Gorbunov NV, Kiang JG. Brain Damage and Patterns of Neurovascular Disorder after Ionizing Irradiation. Complications in Radiotherapy and Radiation Combined Injury. Radiat Res 2021; 196:1-16. [PMID: 33979447 PMCID: PMC8297540 DOI: 10.1667/rade-20-00147.1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 04/02/2021] [Indexed: 12/31/2022]
Abstract
Exposure to ionizing radiation, mechanical trauma, toxic chemicals or infections, or combinations thereof (i.e., combined injury) can induce organic injury to brain tissues, the structural disarrangement of interactive networks of neurovascular and glial cells, as well as on arrays of the paracrine and systemic destruction. This leads to subsequent decline in cognitive capacity and decompensation of mental health. There is an ongoing need for improvement in mitigating and treating radiation- or combined injury-induced brain injury. Cranial irradiation per se can cause a multifactorial encephalopathy that occurs in a radiation dose- and time-dependent manner due to differences in radiosensitivity among the various constituents of brain parenchyma and vasculature. Of particular concern are the radiosensitivity and inflammation susceptibility of: 1. the neurogenic and oligodendrogenic niches in the subependymal and hippocampal domains; and 2. the microvascular endothelium. Thus, cranial or total-body irradiation can cause a plethora of biochemical and cellular disorders in brain tissues, including: 1. decline in neurogenesis and oligodendrogenesis; 2. impairment of the blood-brain barrier; and 3. ablation of vascular capillary. These changes, along with cerebrovascular inflammation, underlie different stages of encephalopathy, from the early protracted stage to the late delayed stage. It is evident that ionizing radiation combined with other traumatic insults such as penetrating wound, burn, blast, systemic infection and chemotherapy, among others, can exacerbate the radiation sequelae (and vice versa) with increasing severity of neurogenic and microvascular patterns of radiation brain damage.
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Affiliation(s)
| | - Juliann G. Kiang
- Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Pharmacology and Molecular Therapeutics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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24
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Field M, Hardcastle N, Jameson M, Aherne N, Holloway L. Machine learning applications in radiation oncology. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2021; 19:13-24. [PMID: 34307915 PMCID: PMC8295850 DOI: 10.1016/j.phro.2021.05.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/19/2021] [Accepted: 05/22/2021] [Indexed: 12/23/2022]
Abstract
Machine learning technology has a growing impact on radiation oncology with an increasing presence in research and industry. The prevalence of diverse data including 3D imaging and the 3D radiation dose delivery presents potential for future automation and scope for treatment improvements for cancer patients. Harnessing this potential requires standardization of tools and data, and focused collaboration between fields of expertise. The rapid advancement of radiation oncology treatment technologies presents opportunities for machine learning integration with investments targeted towards data quality, data extraction, software, and engagement with clinical expertise. In this review, we provide an overview of machine learning concepts before reviewing advances in applying machine learning to radiation oncology and integrating these techniques into the radiation oncology workflows. Several key areas are outlined in the radiation oncology workflow where machine learning has been applied and where it can have a significant impact in terms of efficiency, consistency in treatment and overall treatment outcomes. This review highlights that machine learning has key early applications in radiation oncology due to the repetitive nature of many tasks that also currently have human review. Standardized data management of routinely collected imaging and radiation dose data are also highlighted as enabling engagement in research utilizing machine learning and the ability integrate these technologies into clinical workflow to benefit patients. Physicists need to be part of the conversation to facilitate this technical integration.
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Affiliation(s)
- Matthew Field
- South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
| | - Nicholas Hardcastle
- Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Michael Jameson
- GenesisCare, Alexandria, NSW, Australia.,St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Australia
| | - Noel Aherne
- Mid North Coast Cancer Institute, NSW, Australia.,Rural Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Lois Holloway
- South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.,Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,Cancer Therapy Centre, Liverpool Hospital, Sydney, NSW, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
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25
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Perillo A, Agbaje Olufemi MV, De Robbio J, Mancuso RM, Roscigno A, Tirozzi M, Scognamiglio IR. Liquid biopsy in NSCLC: a new challenge in radiation therapy. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2021; 2:156-173. [PMID: 36046142 PMCID: PMC9400754 DOI: 10.37349/etat.2021.00038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 02/23/2021] [Indexed: 12/24/2022] Open
Abstract
Lung cancer is the most common cancer and the leading cause of cancer mortality worldwide. To date, tissue biopsy has been the gold standard for the diagnosis and the identification of specific molecular mutations, to guide choice of therapy. However, this procedure has several limitations. Liquid biopsy could represent a solution to the intrinsic limits of traditional biopsy. It can detect cancer markers such as circulating tumor DNA or RNA (ctDNA, ctRNA), and circulating tumor cells, in plasma, serum or other biological fluids. This procedure is minimally invasive, reproducible and can be used repeatedly. The main clinical applications of liquid biopsy in non-small cell lung cancer (NSCLC) patients are the early diagnosis, stratification of the risk of relapse, identification of mutations to guide application of targeted therapy and the evaluation of the minimum residual disease. In this review, the current role of liquid biopsy and associated markers in the management of NSCLC patients was analyzed, with emphasis on ctDNA and CTCs, and radiotherapy.
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Affiliation(s)
- Annarita Perillo
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Mohamed Vincenzo Agbaje Olufemi
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Jacopo De Robbio
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Rossella Margherita Mancuso
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Anna Roscigno
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Maddalena Tirozzi
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
| | - Ida Rosalia Scognamiglio
- Department of Advanced Biomedical Sciences, University “Federico II” School of Medicine, Via Sergio Pansini 5, 80131 Napoli, Italy
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26
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Wang X, Li BB. Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature. Front Genet 2021; 12:624820. [PMID: 33643386 PMCID: PMC7902873 DOI: 10.3389/fgene.2021.624820] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 01/07/2021] [Indexed: 12/24/2022] Open
Abstract
Head and neck tumors are the sixth most common neoplasms. Multiomics integrates multiple dimensions of clinical, pathologic, radiological, and biological data and has the potential for tumor diagnosis and analysis. Deep learning (DL), a type of artificial intelligence (AI), is applied in medical image analysis. Among the DL techniques, the convolution neural network (CNN) is used for image segmentation, detection, and classification and in computer-aided diagnosis. Here, we reviewed multiomics image analysis of head and neck tumors using CNN and other DL neural networks. We also evaluated its application in early tumor detection, classification, prognosis/metastasis prediction, and the signing out of the reports. Finally, we highlighted the challenges and potential of these techniques.
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Affiliation(s)
- Xi Wang
- Department of Oral Pathology, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences, Beijing, China
| | - Bin-bin Li
- Department of Oral Pathology, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences, Beijing, China
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27
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Balan DJ, Rajavel T, Das M, Sathya S, Jeyakumar M, Devi KP. Thymol induces mitochondrial pathway-mediated apoptosis via ROS generation, macromolecular damage and SOD diminution in A549 cells. Pharmacol Rep 2020; 73:240-254. [PMID: 33095436 DOI: 10.1007/s43440-020-00171-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 10/01/2020] [Accepted: 10/07/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Thymol is a monoterpene phenol found in thyme species plants. The present study was carried out to investigate the effect of thymol and its molecular mechanism on non-small lung cancer (A549) cells. METHODS The cytotoxic effect of thymol on A549 cells was assessed via MTT assay. ROS production, macromolecular damage, apoptosis were determined using DCF-DA, PI, AO/EtBr stains, respectively. ROS-dependent effect of thymol was confirmed using NAC. The expression of caspase-9, Bcl-2, Bax and cell cycle profile was analyzed via western blot and FACS, respectively. RESULTS The antiproliferative effect of thymol on A549 cells was found to be both dose and time dependent with IC50 values of 112 μg/ml (745 μM) at 24 h. Thymol treatment favored apoptotic cell death and caused G0/G1 cell cycle arrest. It mediated cellular and nuclear morphological changes, phosphatidylserine translocation, and mitochondrial membrane depolarization. Additionally, upregulation of Bax, downregulation of Bcl-2, and apoptotic fragmented DNA were also observed. Thymol induced ROS by reducing the SOD level which was confirmed via in vitro and in silico analysis. Furthermore, the levels of lipid peroxides and protein carbonyl content were elevated in thymol-treated groups. Notably, N-acetyl cysteine pretreatment reversed the efficacy of thymol on A549 cells. Moreover, thymol-treated human PBMC cells did not show any significant cytotoxicity. CONCLUSION Overall, our results confirmed that thymol can act as a safe and potent therapeutic agent to treat NSCLC.
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Affiliation(s)
- Devasahayam Jaya Balan
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India
| | - Tamilselvam Rajavel
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India.,Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Mamali Das
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India
| | - Sethuraman Sathya
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India
| | - Mahalingam Jeyakumar
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India
| | - Kasi Pandima Devi
- Department of Biotechnology, Alagappa University [Science Campus], Karaikudi, Tamil Nadu, 630 003, India.
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28
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Bodei L, Schöder H, Baum RP, Herrmann K, Strosberg J, Caplin M, Öberg K, Modlin IM. Molecular profiling of neuroendocrine tumours to predict response and toxicity to peptide receptor radionuclide therapy. Lancet Oncol 2020; 21:e431-e443. [PMID: 32888472 DOI: 10.1016/s1470-2045(20)30323-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/07/2020] [Accepted: 05/15/2020] [Indexed: 12/20/2022]
Abstract
Peptide receptor radionuclide therapy (PRRT) is a type of radiotherapy that targets peptide receptors and is typically used for neuroendocrine tumours (NETs). Some of the key challenges in its use are the prediction of efficacy and toxicity, patient selection, and response optimisation. In this Review, we assess current knowledge on the molecular profile of NETs and the strategies and tools used to predict, monitor, and assess the toxicity of PRRT. The few mutations in tumour genes that can be evaluated (eg, ATM and DAXX) are limited to pancreatic NETs and are most likely not informative. Assays that are transcriptomic or based on genes are effective in the prediction of radiotherapy response in other cancers. A blood-based assay for eight genes (the PRRT prediction quotient [PPQ]) has an overall accuracy of 95% for predicting responses to PRRT in NETs. No molecular markers exist that can predict the toxicity of PRRT. Candidate molecular targets include seven single nucleotide polymorphisms (SNPs) that are susceptible to radiation. Transcriptomic evaluations of blood and a combination of gene expression and specific SNPs, assessed by machine learning with algorithms that are tumour-specific, might yield molecular tools to enhance the efficacy and safety of PRRT.
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Affiliation(s)
- Lisa Bodei
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Heiko Schöder
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard P Baum
- CURANOSTICUM, Center for Advanced Radiomolecular Precision Oncology, Wiesbaden, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Jonathan Strosberg
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Martyn Caplin
- Neuroendocrine Tumour Unit, Department of Gastroenterology, Royal Free Hospital, London, UK
| | - Kjell Öberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden
| | - Irvin M Modlin
- Department of Surgery, Yale University School of Medicine, Yale University, New Haven, CT, USA
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29
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Qin N, Wang Z, Liu Q, Song N, Wilson CL, Ehrhardt MJ, Shelton K, Easton J, Mulder H, Kennetz D, Edmonson MN, Rusch MC, Downing JR, Hudson MM, Nichols KE, Zhang J, Robison LL, Yasui Y. Pathogenic Germline Mutations in DNA Repair Genes in Combination With Cancer Treatment Exposures and Risk of Subsequent Neoplasms Among Long-Term Survivors of Childhood Cancer. J Clin Oncol 2020; 38:2728-2740. [PMID: 32496904 PMCID: PMC7430217 DOI: 10.1200/jco.19.02760] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2020] [Indexed: 12/17/2022] Open
Abstract
PURPOSE To investigate cancer treatment plus pathogenic germline mutations (PGMs) in DNA repair genes (DRGs) for identification of childhood cancer survivors at increased risk of subsequent neoplasms (SNs). METHODS Whole-genome sequencing was performed on blood-derived DNA from survivors in the St Jude Lifetime Cohort. PGMs were evaluated in 127 genes from 6 major DNA repair pathways. Cumulative doses of chemotherapy and body region-specific radiotherapy (RT) were abstracted from medical records. Relative rates (RRs) and 95% CIs of SNs by mutation status were estimated using multivariable piecewise exponential models. RESULTS Of 4,402 survivors, 495 (11.2%) developed 1,269 SNs. We identified 538 PGMs in 98 DRGs (POLG, MUTYH, ERCC2, and BRCA2, among others) in 508 (11.5%) survivors. Mutations in homologous recombination (HR) genes were significantly associated with an increased rate of subsequent female breast cancer (RR, 3.7; 95% CI, 1.8 to 7.7), especially among survivors with chest RT ≥ 20 Gy (RR, 4.4; 95% CI, 1.6 to 12.4), or with a cumulative dose of anthracyclines in the second or third tertile (RR, 4.4; 95% CI, 1.7 to 11.4). Mutations in HR genes were also associated with an increased rate of subsequent sarcoma among those who received alkylating agent doses in the third tertile (RR, 14.9; 95% CI, 4.0 to 38.0). Mutations in nucleotide excision repair genes were associated with subsequent thyroid cancer for those treated with neck RT ≥ 30 Gy (RR, 12.9; 95% CI, 1.6 to 46.6) with marginal statistical significance. CONCLUSION Our study provides novel insights regarding the contribution of genetics, in combination with known treatment-related risks, for the development of SNs. These findings have the potential to facilitate identification of high-risk survivors who may benefit from genetic counseling and/or testing of DRGs, which may further inform personalized cancer surveillance and prevention strategies.
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Affiliation(s)
- Na Qin
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Qi Liu
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Nan Song
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
| | - Carmen L. Wilson
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
| | - Matthew J. Ehrhardt
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, TN
| | - Kyla Shelton
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
| | - John Easton
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Heather Mulder
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Dennis Kennetz
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Michael N. Edmonson
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Michael C. Rusch
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - James R. Downing
- Department of Pathology, St Jude Children’s Research Hospital, Memphis, TN
| | - Melissa M. Hudson
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, TN
| | - Kim E. Nichols
- Department of Oncology, St Jude Children’s Research Hospital, Memphis, TN
| | - Jinghui Zhang
- Department of Computational Biology, St Jude Children’s Research Hospital, Memphis, TN
| | - Leslie L. Robison
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital, Memphis, TN
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30
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Yang DW, Wang TM, Zhang JB, Li XZ, He YQ, Xiao R, Xue WQ, Zheng XH, Zhang PF, Zhang SD, Hu YZ, Shen GP, Chen M, Sun Y, Jia WH. Genome-wide association study identifies genetic susceptibility loci and pathways of radiation-induced acute oral mucositis. J Transl Med 2020; 18:224. [PMID: 32503578 PMCID: PMC7275566 DOI: 10.1186/s12967-020-02390-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 05/28/2020] [Indexed: 12/17/2022] Open
Abstract
Background Radiation-induced oral mucositis (OM) is one of the most common acute complications for head and neck cancer. Severe OM is associated with radiation treatment breaks, which harms successful tumor management. Radiogenomics studies have indicated that genetic variants are associated with adverse effects of radiotherapy. Methods A large-scale genome-wide scan was performed in 1467 nasopharyngeal carcinoma patients, including 753 treated with 2D-CRT from Genetic Architecture of the Radiotherapy Toxicity and Prognosis (GARTP) cohort and 714 treated with IMRT (192 from the GARTP and 522 newly recruited). Subgroup analysis by radiotherapy technique was further performed in the top associations. We also performed physical and regulatory mapping of the risk loci and gene set enrichment analysis of the candidate target genes. Results We identified 50 associated genomic loci and 64 genes via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping and gene-based analysis, and 36 of these loci were replicated in subgroup analysis. Interestingly, one of the top loci located in TNKS, a gene relevant to radiation toxicity, was associated with increased OM risk with OR = 3.72 of the lead SNP rs117157809 (95% CI 2.10–6.57; P = 6.33 × 10−6). Gene set analyses showed that the 64 candidate target genes were enriched in the biological processes of regulating telomere capping and maintenance and telomerase activity (Top P = 7.73 × 10−7). Conclusions These results enhance the biological understanding of radiotherapy toxicity. The association signals enriched in telomere function regulation implicate the potential underlying mechanism and warrant further functional investigation and potential individual radiotherapy applications.
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Affiliation(s)
- Da-Wei Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.,School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Jiang-Bo Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Xi-Zhao Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yong-Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ruowen Xiao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Xiao-Hui Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Pei-Fen Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Shao-Dan Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ye-Zhu Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Guo-Ping Shen
- Department of Radiation Oncology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, People's Republic of China
| | - Mingyuan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ying Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China. .,School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China. .,Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, People's Republic of China.
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Song J, Yin Y, Wang H, Chang Z, Liu Z, Cui L. A review of original articles published in the emerging field of radiomics. Eur J Radiol 2020; 127:108991. [PMID: 32334372 DOI: 10.1016/j.ejrad.2020.108991] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/06/2020] [Accepted: 04/03/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE To determine the characteristics of and trends in research in the emerging field of radiomics through bibliometric and hotspot analyses of relevant original articles published between 2013 and 2018. METHODS We evaluated 553 original articles concerning radiomics, published in a total of 61 peer-reviewed journals between 2013 and 2018. The following information was retrieved for each article: radiological subspecialty, imaging technique(s), machine learning technique(s), sample size, study setting and design, statistical result(s), study purpose, software used for feature calculation, funding declarations, author number, first author's affiliation, study origin, and journal name. Qualitative and quantitative analyses were performed for the manually extracted data for identification and visualization of the trends in radiomics research. RESULTS The annual growth rate in the number of published papers was 177.82% (p < 0.001). The characteristics and trends of research hotspots in the field of radiomics were clarified and visualized in this study. It was found that the field of radiomics is at a more mature stage for lung, breast, and prostate cancers than for other sites. Radiomics studies primarily focused on radiological characterization (215) and monitoring (182). Logistic regression and LASSO were the two most commonly used techniques for feature selection. Non-clinical researchers without a medical background dominated radiomics studies (70.52%), the vast majority of which only highlighted positive results (97.80%) while downplaying negative findings. CONCLUSIONS The reporting of quantifiable knowledge about the characteristics and trajectories of radiomics can inform researchers about the gaps in the field of radiomics and guide its future direction.
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Affiliation(s)
- Jiangdian Song
- School of Medical Informatics, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China; School of Medicine, Department of Radiology, Stanford University, 1201 Welch Rd Lucas Center PS055, Palo Alto, CA 94306, United States.
| | - Yanjie Yin
- School of Medical Informatics, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China
| | - Hairui Wang
- Department of Radiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Heping District Shenyang, 110004, Liaoning, Province, PR China
| | - Zhihui Chang
- Department of Radiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Heping District Shenyang, 110004, Liaoning, Province, PR China
| | - Zhaoyu Liu
- Department of Radiology, Shengjing Hospital of China Medical University, No.36 Sanhao Street, Heping District Shenyang, 110004, Liaoning, Province, PR China
| | - Lei Cui
- School of Medical Informatics, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
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Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging. Schizophr Res 2020; 216:262-271. [PMID: 31826827 DOI: 10.1016/j.schres.2019.11.046] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/04/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022]
Abstract
Electroconvulsive therapy (ECT) has been shown to be effective in schizophrenia, particularly when rapid symptom reduction is needed or in cases of resistance to drug treatment. However, there are no markers available to predict response to ECT. Here, we examine whether multi-parametric magnetic resonance imaging (MRI)-based radiomic features can predict response to ECT for individual patients. A total of 57 treatment-resistant schizophrenia patients, or schizophrenia patients with an acute episode or suicide attempts were randomly divided into primary (42 patients) and test (15 patients) cohorts. We collected T1-weighted structural MRI and diffusion MRI for 57 patients before receiving ECT and extracted 600 radiomic features for feature selection and prediction. To predict a continuous improvement in symptoms (ΔPANSS), the prediction process was performed with a support vector regression model based on a leave-one-out cross-validation framework in primary cohort and was tested in test cohort. The multi-parametric MRI-based radiomic model, including four structural MRI feature from left inferior frontal gyrus, right insula, left middle temporal gyrus and right superior temporal gyrus respectively and six diffusion MRI features from tracts connecting frontal or temporal gyrus possessed a low root mean square error of 15.183 in primary cohort and 14.980 in test cohort. The Pearson's correlation coefficients between predicted and actual values were 0.671 and 0.777 respectively. These results demonstrate that multi-parametric MRI-based radiomic features may predict response to ECT for individual patients. Such features could serve as prognostic neuroimaging biomarkers that provide a critical step toward individualized treatment response prediction in schizophrenia.
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He K, Zhang S, Shao LL, Yin JC, Wu X, Shao YW, Yuan S, Yu J. Developing more sensitive genomic approaches to detect radioresponse in precision radiation oncology: From tissue DNA analysis to circulating tumor DNA. Cancer Lett 2019; 472:108-118. [PMID: 31837443 DOI: 10.1016/j.canlet.2019.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/02/2019] [Accepted: 12/02/2019] [Indexed: 02/07/2023]
Abstract
Despite the common application and considerable efforts to achieve precision radiotherapy (RT) in several types of cancer, RT has not yet entered the era of precision medicine; the ability to predict radiosensitivity and treatment responses in tumors and normal tissues is lacking. Therefore, development of genome-based methods for individual prognosis in radiation oncology is urgently required. Traditional DNA sequencing requires tissue samples collected during invasive operations; therefore, repeated tests are nearly impossible. Intra- and inter-tumoral heterogeneity may undermine the predictive power of a single assay from tumor samples. In contrast, analysis of circulating tumor DNA (ctDNA) allows for non-invasive and near real-time sampling of tumors. By investigating the genetic composition of tumors and monitoring dynamic changes during treatment, ctDNA analysis may potentially be clinically valuable in prediction of treatment responses prior to RT, surveillance of responses during RT, and evaluation of residual disease following RT. As a biomarker for RT response, ctDNA profiling may guide personalized treatments. In this review, we will discuss approaches of tissue DNA sequencing and ctDNA detection and summarize their clinical applications in both traditional RT and in combination with immunotherapy.
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Affiliation(s)
- Kewen He
- Department of Radiology, Shandong Cancer Hospital affiliated to Shandong University, Jinan, Shandong, 250117, People's Republic of China; Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Shaotong Zhang
- Department of Cardiology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, 250013, People's Republic of China
| | - Liang L Shao
- Geneseeq Technology Inc., Toronto, Ontario, M5G 1L7, Canada
| | - Jiani C Yin
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, People's Republic of China
| | - Xue Wu
- Geneseeq Technology Inc., Toronto, Ontario, M5G 1L7, Canada
| | - Yang W Shao
- Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, People's Republic of China; School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China
| | - Shuanghu Yuan
- Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China.
| | - Jinming Yu
- Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China.
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Bergom C, West CM, Higginson DS, Abazeed ME, Arun B, Bentzen SM, Bernstein JL, Evans JD, Gerber NK, Kerns SL, Keen J, Litton JK, Reiner AS, Riaz N, Rosenstein BS, Sawakuchi GO, Shaitelman SF, Powell SN, Woodward WA. The Implications of Genetic Testing on Radiation Therapy Decisions: A Guide for Radiation Oncologists. Int J Radiat Oncol Biol Phys 2019; 105:698-712. [PMID: 31381960 DOI: 10.1016/j.ijrobp.2019.07.026] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 06/21/2019] [Accepted: 07/08/2019] [Indexed: 02/06/2023]
Abstract
The advent of affordable and rapid next-generation DNA sequencing technology, along with the US Supreme Court ruling invalidating gene patents, has led to a deluge of germline and tumor genetic variant tests that are being rapidly incorporated into clinical cancer decision-making. A major concern for clinicians is whether the presence of germline mutations may increase the risk of radiation toxicity or secondary malignancies. Because scarce clinical data exist to inform decisions at this time, the American Society for Radiation Oncology convened a group of radiation science experts and clinicians to summarize potential issues, review relevant data, and provide guidance for adult patients and their care teams regarding the impact, if any, that genetic testing should have on radiation therapy recommendations. During the American Society for Radiation Oncology workshop, several main points emerged, which are discussed in this manuscript: (1) variants of uncertain significance should be considered nondeleterious until functional genomic data emerge to demonstrate otherwise; (2) possession of germline alterations in a single copy of a gene critical for radiation damage responses does not necessarily equate to increased risk of radiation-induced toxicity; (3) deleterious ataxia-telangiesctasia gene mutations may modestly increase second cancer risk after radiation therapy, and thus follow-up for these patients after indicated radiation therapy should include second cancer screening; (4) conveying to patients the difference between relative and absolute risk is critical to decision-making; and (5) more work is needed to assess the impact of tumor somatic alterations on the probability of response to radiation therapy and the potential for individualization of radiation doses. Data on radiosensitivity related to specific genetic mutations is also briefly discussed.
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Affiliation(s)
- Carmen Bergom
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Catharine M West
- Division of Cancer Sciences, National Institute for Health Research Manchester Biomedical Research Centre, University of Manchester, Christie National Health Service Foundation Trust Hospital, Manchester, UK
| | - Daniel S Higginson
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mohamed E Abazeed
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio; Department of Translational Hematology Oncology Research, Cleveland Clinic, Cleveland, Ohio
| | - Banu Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Soren M Bentzen
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jaden D Evans
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota; Department of Radiation Oncology and Precision Genomics, Intermountain Healthcare, Ogden, Utah
| | - Naamit K Gerber
- Department of Radiation Oncology, New York University Langone Health, New York, New York
| | - Sarah L Kerns
- Department of Radiation Oncology, University of Rochester, Rochester, New York
| | - Judy Keen
- Scientific Affairs, American Society for Radiation Oncology, Arlington, Virginia
| | - Jennifer K Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Barry S Rosenstein
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Gabriel O Sawakuchi
- Department of Radiation Physics The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Simona F Shaitelman
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Simon N Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Wendy A Woodward
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Association of single nucleotide polymorphisms at HSPB1 rs7459185 and TGFB1 rs11466353 with radiation esophagitis in lung cancer. Radiother Oncol 2019; 135:161-169. [DOI: 10.1016/j.radonc.2019.03.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 01/10/2019] [Accepted: 03/07/2019] [Indexed: 12/25/2022]
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36
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Wang TM, Shen GP, Chen MY, Zhang JB, Sun Y, He J, Xue WQ, Li XZ, Huang SY, Zheng XH, Zhang SD, Hu YZ, Qin HD, Bei JX, Ma J, Mu J, Yao Shugart Y, Jia WH. Genome-Wide Association Study of Susceptibility Loci for Radiation-Induced Brain Injury. J Natl Cancer Inst 2019; 111:620-628. [PMID: 30299488 PMCID: PMC6579742 DOI: 10.1093/jnci/djy150] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/24/2018] [Accepted: 07/29/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Radiation-induced brain injury is a nonnegligible issue in the management of cancer patients treated by partial or whole brain irradiation. In particular, temporal lobe injury (TLI), a deleterious late complication in nasopharyngeal carcinoma, greatly affects the long-term life quality of these patients. Although genome-wide association studies (GWASs) have successfully identified single nucleotide polymorphisms (SNPs) associated with radiation toxicity, genetic variants contributing to the radiation-induced brain injury have not yet been assessed. METHODS We recruited and performed follow-up for a prospective observational cohort, Genetic Architecture of Radiotherapy Toxicity and Prognosis, using magnetic resonance imaging for TLI diagnosis. We conducted genome-wide association analysis in 1082 patients and validated the top associations in two independent cohorts of 1119 and 741 patients, respectively. All statistical tests were two-sided. RESULTS We identified a promoter variant rs17111237 (A > G, minor allele frequency [MAF] = 0.14) in CEP128 associated with TLI risk (hazard ratio = 1.45, 95% confidence interval = 1.26 to 1.66, Pcombined=3.18 × 10-7) which is in moderate linkage disequilibrium (LD) with rs162171 (MAF = 0.18, R2 = 0.69), the top signal in CEP128 (hazard ratio = 1.46, 95% confidence interval = 1.29-1.66, Pcombined= 6.17 × 10-9). Combining the clinical variables with the top SNP, we divided the patients into different subgroups with varying risk with 5-year TLI-free rates ranging from 33.7% to 95.5%. CEP128, a key component of mother centriole, tightly interacts with multiple radiation-resistant genes and plays an important role in maintaining the functional cilia, which otherwise will lead to a malfunction of the neural network. We found that A > G alteration at rs17111237 impaired the promoter activity of CEP128 and knockdown of CEP128 decreased the clonogenic cell survival of U87 cells under radiation. Noteworthy, 12.7% (27/212) of the GWAS-based associated genes (P < .001) were enriched in the neurogenesis pathway. CONCLUSIONS This three-stage study is the first GWAS of radiation-induced brain injury that implicates the genetic susceptibility gene CEP128 involved in TLI development and provides the novel insight into the underlying mechanisms of radiation-induced brain injury.
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Affiliation(s)
- Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guo-Ping Shen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ming-Yuan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Nasopharyngeal Carcinoma
| | - Jiang-Bo Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xi-Zhao Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shao-Yi Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiao-Hui Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shao-Dan Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ye-Zhu Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hai-De Qin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jin-Xin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jianbing Mu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD
| | - Yin Yao Shugart
- Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, National Institutes of Health, Bethesda, MD
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Correspondence to: Wei-Hua Jia, PhD, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China (e-mail: )
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Fukunaga H, Yokoya A, Taki Y, Butterworth KT, Prise KM. Precision Radiotherapy and Radiation Risk Assessment: How Do We Overcome Radiogenomic Diversity? TOHOKU J EXP MED 2019; 247:223-235. [PMID: 30971620 DOI: 10.1620/tjem.247.223] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Precision medicine is a rapidly developing area that aims to deliver targeted therapies based on individual patient characteristics. However, current radiation treatment is not yet personalized; consequently, there is a critical need for specific patient characteristics of both tumor and normal tissues to be fully incorporated into dose prescription. Furthermore, current risk assessment following environmental, occupational, or accidental exposures to radiation is based on population effects, and does not account for individual diversity underpinning radiosensitivity. The lack of personalized approaches in both radiotherapy and radiation risk assessment resulted in the current situation where a population-based model, effective dose, is being used. In this review article, to stimulate scientific discussion for precision medicine in both radiotherapy and radiation risk assessment, we propose a novel radiological concept and metric - the personalized dose and the personalized risk index - that incorporate individual physiological, lifestyle-related and genomic variations and radiosensitivity, outlining the potential clinical application for precision medicine. We also review on recent progress in both genomics and biobanking research, which is promising for providing novel insights into individual radiosensitivity, and for creating a novel conceptual framework of precision radiotherapy and radiation risk assessment.
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Affiliation(s)
- Hisanori Fukunaga
- Centre for Cancer Research and Cell Biology, Queen's University Belfast
| | - Akinari Yokoya
- Tokai Quantum Beam Science Center, National Institutes for Quantum and Radiological Science and Technology
| | - Yasuyuki Taki
- Institute of Development, Aging and Cancer, Tohoku University
| | | | - Kevin M Prise
- Centre for Cancer Research and Cell Biology, Queen's University Belfast
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Duran G, Aguín S, Cruz R, Barros F, Giráldez JM, Bernárdez B, López-López R, Carracedo Á, Lamas MJ. Association of GSTP1 and ERCC1 polymorphisms with toxicity in locally advanced head and neck cancer platinum-based chemoradiotherapy treatment. Head Neck 2019; 41:2704-2715. [PMID: 30973677 DOI: 10.1002/hed.25754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 02/27/2019] [Accepted: 03/12/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Platinum-based chemoradiotherapy (CRT) is the standard treatment for locally advanced head and neck squamous-cell carcinomas (HNSCC), and most patients experience serious toxicities. The aim of this study was to investigate the association between candidate genes involved in radiation/platinum pathways and acute toxicity of CRT to determine the predictive value of these polymorphisms for toxicity. METHODS Thirty-six selected single nucleotide polymorphisms (SNPs) in 29 genes were genotyped in 110 patients treated with cisplatin-based CRT. DNA was obtained from blood samples, and SNP analysis was performed using a MassARRAY iPLEX Gold (Sequenom) method. RESULTS Patients with ERCC1 rs11615-C allele (P = .0066), ERCC1 rs735482-C allele (P = .0204), and ERCC4 rs1799801-C allele (P = .0286) had lower risk of grade 2-3 hematologic toxicity. In addition, the presence of G allele of GSTP1 was associated with a significantly lower risk of severe dysphagia (P = .0004). CONCLUSION Polymorphisms in ERCC1 and GSTP1 may act as prognostic factors of acute toxicity during treatment with CRT in HNSCC patients.
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Affiliation(s)
- Goretti Duran
- Pharmacy Department, University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Clinical Pharmacology Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Santiago Aguín
- Translational Medical Oncology, Health Research Institute of Santiago (IDIS), University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Liquid Biopsy Analysis Unit, Health Research Institute of Santiago (IDIS), University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain
| | - Raquel Cruz
- Center for Biomedical Research on Rare Diseases (CIBERER), Genomics Medicine Group, CIMUS, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Francisco Barros
- Grupo de Medicina Xenómica, CIBERER, Fundación Pública Galega de Medicina Xenómica - SERGAS, Santiago de Compostela, Spain
| | - José María Giráldez
- Pharmacy Department, University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Clinical Pharmacology Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Beatriz Bernárdez
- Pharmacy Department, University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Clinical Pharmacology Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Rafael López-López
- Translational Medical Oncology, Health Research Institute of Santiago (IDIS), University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Liquid Biopsy Analysis Unit, Health Research Institute of Santiago (IDIS), University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, CIBERER, Fundación Pública Galega de Medicina Xenómica - SERGAS, Santiago de Compostela, Spain.,Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado - Plataforma de Recursos Biomoleculares y Bioinformáticos - Instituto de Salud Carlos III (CeGen-PRB2-ISCIII), Santiago de Compostela, Spain.,Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - María Jesús Lamas
- Pharmacy Department, University Hospital of Santiago (SERGAS), Santiago de Compostela, Spain.,Clinical Pharmacology Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
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Maimaitiyiming Y, Hong DF, Yang C, Naranmandura H. Novel insights into the role of aptamers in the fight against cancer. J Cancer Res Clin Oncol 2019; 145:797-810. [PMID: 30830295 DOI: 10.1007/s00432-019-02882-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 02/28/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Aptamers are a class of single-stranded nucleic acid (DNA or RNA) oligonucleotides that are screened in vitro by a technique called systematic evolution of ligands by exponential enrichment (SELEX). They have stable three-dimensional structures that can bind to various targets with high affinity and specificity. Due to distinct properties such as easy synthesis, high stability, small size, low toxicity and immunogenicity, they have been largely studied as anticancer agents/tools. Consequently, aptamers are starting to play important roles in disease prevention, diagnosis and therapy. This review focuses on studies that evaluated the effect of aptamers on various aspects of cancer therapy. It also provides novel and unique insights into the role of aptamers on the fight against cancer. METHODS We reviewed literatures about the role of aptamers against cancer from PUBMED databases in this article. RESULTS Here, we summarized the role of aptamers on the fight against cancer in a unique point of view. Meanwhile, we presented novel ideas such as aptamer-pool-drug conjugates for the treatment of refractory cancers. CONCLUSIONS Aptamers and antibodies should form a "coalition" against cancers to maximize their advantages and minimize disadvantages.
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Affiliation(s)
- Yasen Maimaitiyiming
- Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China
| | - De Fei Hong
- The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chang Yang
- Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hua Naranmandura
- Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China. .,Department of Toxicology, School of Medicine and Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
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Discovery of Metabolic Biomarkers Predicting Radiation Therapy Late Effects in Prostate Cancer Patients. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1164:141-150. [PMID: 31576546 DOI: 10.1007/978-3-030-22254-3_11] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Patients presenting with prostate cancers undergo clinical staging evaluations to determine the extent of disease to guide therapeutic recommendations. Management options may include watchful waiting, surgery, or radiation therapy. Thus, initial risk stratification of prostate cancer patients is important for achieving optimal therapeutic results or cancer cure and preservation of quality of life. Predictive biomarkers for risks of complications or late effects of treatment are needed to inform clinical decisions for treatment selection. Here, we analyzed pre-treatment plasma metabolites in a cohort of prostate cancer patients (N = 99) treated with Stereotactic Body Radiation Therapy (SBRT) at Medstar-Georgetown University Hospital in a longitudinal, quality-of-life study to determine if individuals experiencing radiation toxicities can be identified by a molecular profile in plasma prior to treatment. We used a multiple reaction mass spectrometry-based molecular phenotyping of clinically annotated plasma samples in a retrospective outcome analysis to identify candidate biomarker panels correlating with adverse clinical outcomes following radiation therapy. We describe the discovery of candidate biomarkers, based on small molecule metabolite panels, showing high correlations (AUCs ≥ 95%) with radiation toxicities, suitable for validation studies in an expanded cohort of patients.
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A review of radiation genomics: integrating patient radiation response with genomics for personalised and targeted radiation therapy. JOURNAL OF RADIOTHERAPY IN PRACTICE 2018. [DOI: 10.1017/s1460396918000547] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
AbstractBackgroundThe success of radiation therapy for cancer patients is dependent on the ability to deliver a total tumouricidal radiation dose capable of eradicating all cancer cells within the clinical target volume, however, the radiation dose tolerance of the surrounding healthy tissues becomes the main dose-limiting factor. The normal tissue adverse effects following radiotherapy are common and significantly impact the quality of life of patients. The likelihood of developing these adverse effects following radiotherapy cannot be predicted based only on the radiation treatment parameters. However, there is evidence to suggest that some common genetic variants are associated with radiotherapy response and the risk of developing adverse effects. Radiation genomics is a field that has evolved in recent years investigating the association between patient genomic data and the response to radiation therapy. This field aims to identify genetic markers that are linked to individual radiosensitivity with the potential to predict the risk of developing adverse effects due to radiotherapy using patient genomic information. It also aims to determine the relative radioresponse of patients using their genetic information for the potential prediction of patient radiation treatment response.Methods and materialsThis paper reports on a review of recent studies in the field of radiation genomics investigating the association between genomic data and patients response to radiation therapy, including the investigation of the role of genetic variants on an individual’s predisposition to enhanced radiotherapy radiosensitivity or radioresponse.ConclusionThe potential for early prediction of treatment response and patient outcome is critical in cancer patients to make decisions regarding continuation, escalation, discontinuation, and/or change in treatment options to maximise patient survival while minimising adverse effects and maintaining patients’ quality of life.
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Mayo CS, Phillips M, McNutt TR, Palta J, Dekker A, Miller RC, Xiao Y, Moran JM, Matuszak MM, Gabriel P, Ayan AS, Prisciandaro J, Thor M, Dixit N, Popple R, Killoran J, Kaleba E, Kantor M, Ruan D, Kapoor R, Kessler ML, Lawrence TS. Treatment data and technical process challenges for practical big data efforts in radiation oncology. Med Phys 2018; 45:e793-e810. [PMID: 30226286 DOI: 10.1002/mp.13114] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 06/26/2018] [Accepted: 06/26/2018] [Indexed: 12/20/2022] Open
Abstract
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided.
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Affiliation(s)
- C S Mayo
- University of Michigan, Ann Arbor, MI, USA
| | - M Phillips
- University of Washington, Seattle, WA, USA
| | - T R McNutt
- Johns Hopkins University, Baltimore, MD, USA
| | - J Palta
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Dekker
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | | | - Y Xiao
- University of Pennsylvania, Philadelphia, PA, USA
| | - J M Moran
- University of Michigan, Ann Arbor, MI, USA
| | | | - P Gabriel
- University of Pennsylvania, Philadelphia, PA, USA
| | - A S Ayan
- Ohio State University, Columbus, OH, USA
| | | | - M Thor
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - N Dixit
- University of California at San Francisco, San Francisco, CA, USA
| | - R Popple
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - E Kaleba
- University of Michigan, Ann Arbor, MI, USA
| | - M Kantor
- MD Anderson Cancer Center, Houston, TX, USA
| | - D Ruan
- University of California at Los Angeles, Los Angeles, CA, USA
| | - R Kapoor
- Johns Hopkins University, Baltimore, MD, USA
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Hu JJ, Urbanic JJ, Case LD, Takita C, Wright JL, Brown DR, Langefeld CD, Lively MO, Mitchell SE, Thakrar A, Bryant D, Baglan K, Strasser J, Baez-Diaz L, Lesser GJ, Shaw EG. Association Between Inflammatory Biomarker C-Reactive Protein and Radiotherapy-Induced Early Adverse Skin Reactions in a Multiracial/Ethnic Breast Cancer Population. J Clin Oncol 2018; 36:2473-2482. [PMID: 29989859 DOI: 10.1200/jco.2017.77.1790] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Purpose This study examined an inflammatory biomarker, high-sensitivity C-reactive protein (hsCRP), in radiotherapy (RT)-induced early adverse skin reactions or toxicities in breast cancer. Patients and Methods Between 2011 and 2013, 1,000 patients with breast cancer who underwent RT were evaluated prospectively for skin toxicities through the National Cancer Institute-funded Wake Forest University Community Clinical Oncology Program Research Base. Pre- and post-RT plasma hsCRP levels and Oncology Nursing Society skin toxicity criteria (0 to 6) were used to assess RT-induced skin toxicities. Multivariable logistic regression analyses were applied to ascertain the associations between hsCRP and RT-induced skin toxicities after adjusting for potential confounders. Results The study comprised 623 white, 280 African American, 64 Asian/Pacific Islander, and 33 other race patients; 24% of the patients were Hispanic, and 47% were obese. Approximately 42% and 15% of patients developed RT-induced grade 3+ and 4+ skin toxicities, respectively. The hsCRP levels differed significantly by race and body mass index but not by ethnicity. In multivariable analysis, grade 4+ skin toxicity was significantly associated with obesity (odds ratio [OR], 2.17; 95% CI, 1.41 to 3.34], post-RT hsCRP ≥ 4.11 mg/L (OR, 1.61; 95% CI, 1.07 to 2.44), and both factors combined (OR, 3.65; 95% CI, 2.18 to 6.14). Above-median post-RT hsCRP (OR, 1.93; 95% CI, 1.03 to 3.63), and change in hsCRP (OR, 2.80; 95% CI, 1.42 to 5.54) were significantly associated with grade 4+ skin toxicity in nonobese patients. Conclusion This large prospective study is the first to our knowledge of hsCRP as an inflammatory biomarker in RT-induced skin toxicities in breast cancer. We demonstrate that nonobese patients with elevated RT-related change in hsCRP levels have a significantly increased risk of grade 4+ skin toxicity. The outcomes may help to predict RT responses and guide decision making.
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Affiliation(s)
- Jennifer J Hu
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - James J Urbanic
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - L Doug Case
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Cristiane Takita
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Jean L Wright
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Doris R Brown
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Carl D Langefeld
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Mark O Lively
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Sandra E Mitchell
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Anu Thakrar
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - David Bryant
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Kathy Baglan
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Jon Strasser
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Luis Baez-Diaz
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Glenn J Lesser
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
| | - Edward G Shaw
- Jennifer J. Hu and Cristiane Takita, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL; James J. Urbanic, University of California, San Diego, Encinitas, CA; L. Doug Case, Doris R. Brown, Carl D. Langefeld, Mark O. Lively, Glenn J. Lesser, and Edward G. Shaw, Wake Forest University School of Medicine, Winston-Salem; Sandra E. Mitchell, Randolph Cancer Center Southeast Cancer Control Consortium, Asheboro, NC; Jean L. Wright, Johns Hopkins University, Baltimore, MD; Anu Thakrar, John H Stroger, Jr Hospital of Cook County Minority-Based Community Clinical Oncology Program (MBCCOP), Chicago, IL; David Bryant, Cancer Center of Kansas/Wichita CCOP, Wichita, KS; Kathy Baglan, St Louis-Cape Girardeau CCOP, St Louis, MO; Jon Strasser, Delaware/Christiana Care Health Services CCOP, Newark, DE; and Luis Baez-Diaz, San Juan MBCCOP, San Juan, Puerto Rico
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Anacleto A, Dias J. Data Analysis in Radiotherapy Treatments. INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS 2018. [DOI: 10.4018/ijehmc.2018070103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Radiotherapy is one of the main cancer treatments available today, together with chemotherapy and surgery. Radiotherapy treatments have to be planned for each patient in an individualized manner. The knowledge acquired from one single treatment can be used to improve the treatment planning and outcome of several other patients. In the last years, attention has been drawn to the added value of using data analysis for radiotherapy treatment planning, prediction of treatment outcomes, survival analysis and quality assurance. In this article, existing literature is reviewed.
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Affiliation(s)
- Ana Anacleto
- Faculty of Economics, University of Coimbra, Coimbra, Portugal
| | - Joana Dias
- Inesc-Coimbra, CeBER, Faculty of Economics, University of Coimbra, Coimbra, Portugal
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Córdoba EE, Lacunza E, Abba MC, Fernández E, Güerci AM. Single nucleotide polymorphisms in ATM, TNF-α and IL6 genes and risk of radiotoxicity in breast cancer patients. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2018; 836:84-89. [PMID: 30442350 DOI: 10.1016/j.mrgentox.2018.06.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Revised: 04/21/2018] [Accepted: 06/01/2018] [Indexed: 11/17/2022]
Abstract
Although oncological therapies have improved in the last decades, breast cancer (BC) remains a serious health problem worldwide. Radiotherapy (RT) is one of the most frequently used treatments for cancer aimed at eliminating tumor cells. However, it can also alter the surrounding normal tissue, especially the skin, and patient reactions may vary as a result of extrinsic and intrinsic factors. We evaluated the association of gene polymorphisms ATM Asp1853Asn, IL-6 G-174C and TNF-α G-308A involved in central phenotype pathways and development of individual radiosensitivity in BC patients with an exacerbated response to RT. Although univariate analysis results did not show a significant association with this trait, the interaction analysis between polymorphisms showed an increased risk of patients presenting wild-type TNF-α G-308A genotype and mutant IL-6 G-174C genotype, and heterozygous TNF-α G-308A genotype and heterozygous IL-6G-174C genotype. On the other hand, our results showed that breast size and patient age influenced the determination of RT-associated effects. Considering that the trait is multifactorial, other significant elements for the determination of individual radiosensitivity should be considered, together with the establishment of specific polymorphic variants.
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Affiliation(s)
- Elisa E Córdoba
- Departamento de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Calle 60 Nº 480, CP 1900, La Plata, Argentina; IGEVET - Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, Calle 60 y 118 s/n (1900) La Plata, Buenos Aires, Argentina.
| | - Ezequiel Lacunza
- CINIBA- Centro de Investigaciones Inmunológicas Básicas y Aplicadas, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, Calle 60 y 120, CP 1900, La Plata, Argentina
| | - Martín C Abba
- CINIBA- Centro de Investigaciones Inmunológicas Básicas y Aplicadas, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, Calle 60 y 120, CP 1900, La Plata, Argentina
| | - Eduardo Fernández
- 21stCentury Oncology, 2270 Colonial Blvd, Fort Myers, FL 33907, Florida, United States
| | - Alba M Güerci
- Departamento de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Calle 60 Nº 480, CP 1900, La Plata, Argentina; IGEVET - Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, Calle 60 y 118 s/n (1900) La Plata, Buenos Aires, Argentina
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Ghaffari H, Beik J, Talebi A, Mahdavi SR, Abdollahi H. New physical approaches to treat cancer stem cells: a review. Clin Transl Oncol 2018; 20:1502-1521. [PMID: 29869042 DOI: 10.1007/s12094-018-1896-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 05/14/2018] [Indexed: 12/13/2022]
Abstract
Cancer stem cells (CSCs) have been identified as the main center of tumor therapeutic resistance. They are highly resistant against current cancer therapy approaches particularly radiation therapy (RT). Recently, a wide spectrum of physical methods has been proposed to treat CSCs, including high energetic particles, hyperthermia (HT), nanoparticles (NPs) and combination of these approaches. In this review article, the importance and benefits of the physical CSCs therapy methods such as nanomaterial-based heat treatments and particle therapy will be highlighted.
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Affiliation(s)
- H Ghaffari
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran
| | - J Beik
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran
| | - A Talebi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran
| | - S R Mahdavi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran.
- Department of Medical Physics and Radiation Biology Research Center, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran.
| | - H Abdollahi
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Chamran Expressway, Tehran, Iran.
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Lemanska A, Dearnaley DP, Jena R, Sydes MR, Faithfull S. Older Age, Early Symptoms and Physical Function are Associated with the Severity of Late Symptom Clusters for Men Undergoing Radiotherapy for Prostate Cancer. Clin Oncol (R Coll Radiol) 2018; 30:334-345. [PMID: 29459102 PMCID: PMC5952898 DOI: 10.1016/j.clon.2018.01.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 12/15/2017] [Accepted: 12/22/2017] [Indexed: 12/21/2022]
Abstract
AIMS To identify symptom clusters and predisposing factors associated with long-term symptoms and health-related quality of life after radiotherapy in men with prostate cancer. MATERIALS AND METHODS Patient-reported outcomes (PROs) data from the Medical Research Council RT01 radiotherapy with neoadjuvant androgen deprivation therapy trial of 843 patients were used. PROs were collected over 5 years with the University of California, Los Angeles Prostate Cancer Index (UCLA-PCI) and the 36 item Short-Form Health Survey (SF-36). Symptom clusters were explored using hierarchical cluster analysis. The association of treatment dose, baseline patient characteristics and early symptom clusters with the change in severity of PROs over 3 years was investigated with multivariate linear mixed effects models. RESULTS Seven symptom clusters of three or more symptoms were identified. The clusters were stable over time. The longitudinal profiles of symptom clusters showed the onset of acute symptoms during treatment for all symptom clusters and significant recovery by 6 months. Some clusters, such as physical health and sexual function, were adversely affected more than others by androgen deprivation therapy, and were less likely to return to pretreatment levels over time. Older age was significantly associated with decreased long-term physical function, physical health and sexual function (P < 0.001). Both baseline and acute symptom clusters were significant antecedents for impaired function and health-related quality of life at 3 years. CONCLUSIONS Men with poorer physical function and health before or during treatment were more likely to report poorer PROs at year 3. Early assessment using PROs and lifestyle interventions should be used to identify those with higher needs and provide targeted rehabilitation and symptom management.
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Affiliation(s)
- A Lemanska
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
| | - D P Dearnaley
- Institute of Cancer Research and Royal Marsden NHS Trust, London, UK
| | - R Jena
- Cambridge University Hospitals, Addenbrookes Hospital, Cambridge, UK
| | - M R Sydes
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, UK
| | - S Faithfull
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
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Hall WA, Bergom C, Thompson RF, Baschnagel AM, Vijayakumar S, Willers H, Li XA, Schultz CJ, Wilson GD, West CML, Capala J, Coleman CN, Torres-Roca JF, Weidhaas J, Feng FY. Precision Oncology and Genomically Guided Radiation Therapy: A Report From the American Society for Radiation Oncology/American Association of Physicists in Medicine/National Cancer Institute Precision Medicine Conference. Int J Radiat Oncol Biol Phys 2018; 101:274-284. [PMID: 28964588 DOI: 10.1016/j.ijrobp.2017.05.044] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 04/19/2017] [Accepted: 05/30/2017] [Indexed: 01/18/2023]
Abstract
PURPOSE To summarize important talking points from a 2016 symposium focusing on real-world challenges to advancing precision medicine in radiation oncology, and to help radiation oncologists navigate the practical challenges of precision, radiation oncology. METHODS AND MATERIALS The American Society for Radiation Oncology, American Association of Physicists in Medicine, and National Cancer Institute cosponsored a meeting on precision medicine in radiation oncology. In June 2016 numerous scientists, clinicians, and physicists convened at the National Institutes of Health to discuss challenges and future directions toward personalized radiation therapy. Various breakout sessions were held to discuss particular components and approaches to the implementation of personalized radiation oncology. This article summarizes the genomically guided radiation therapy breakout session. RESULTS A summary of existing genomic data enabling personalized radiation therapy, ongoing clinical trials, current challenges, and future directions was collected. The group attempted to provide both a current overview of data that radiation oncologists could use to personalize therapy, along with data that are anticipated in the coming years. It seems apparent from the provided review that a considerable opportunity exists to truly bring genomically guided radiation therapy into clinical reality. CONCLUSIONS Genomically guided radiation therapy is a necessity that must be embraced in the coming years. Incorporating these data into treatment recommendations will provide radiation oncologists with a substantial opportunity to improve outcomes for numerous cancer patients. More research focused on this topic is needed to bring genomic signatures into routine standard of care.
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Affiliation(s)
- William A Hall
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Radiation Oncology, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin.
| | - Carmen Bergom
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Radiation Oncology, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin
| | - Reid F Thompson
- Department of Radiation Medicine and Computational Biology Program, Oregon Health & Science University, Portland, Oregon; Division of Hospital and Specialty Medicine, VA Portland Health Care System, Portland, Oregon
| | - Andrew M Baschnagel
- Department of Human Oncology, University of Wisconsin Madison, Madison, Wisconsin
| | - Srinivasan Vijayakumar
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Henning Willers
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - X Allen Li
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Radiation Oncology, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin
| | - Christopher J Schultz
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Radiation Oncology, Clement J. Zablocki VA Medical Center, Milwaukee, Wisconsin
| | - George D Wilson
- Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan
| | - Catharine M L West
- Translational Radiation Biology, University of Manchester, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Jacek Capala
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - C Norman Coleman
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Joanne Weidhaas
- Department of Radiation Oncology, University of California Los Angeles, Los Angeles, California
| | - Felix Y Feng
- Departments of Radiation Oncology, Urology, and Medicine and the Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
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Kamran SC, Mouw KW. Applying Precision Oncology Principles in Radiation Oncology. JCO Precis Oncol 2018; 2:PO.18.00034. [PMID: 32914000 PMCID: PMC7446508 DOI: 10.1200/po.18.00034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Radiation therapy is a critical component in the curative management of many solid tumor types, and advances in radiation delivery techniques during the past decade have led to improved disease control and quality of life for patients. During the same period, remarkable advances have also been made in understanding the genomic landscape of tumors; however, treatment decisions in radiation oncology continue to depend primarily on clinical and histopathologic characteristics rather than on the genetic features of the tumor or the patient. With the development of novel genomic techniques and their increasing use in clinical practice, radiation oncology is uniquely positioned to leverage these advances to identify novel biomarkers that could inform radiation dose, field, and the use of concurrent systemic agents. Here, we summarize efforts to use genomic techniques to guide radiation decisions, and we highlight some of the current opportunities and challenges that exist in attempting to apply precision oncology principles in radiation oncology.
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Affiliation(s)
- Sophia C. Kamran
- Sophia C. Kamran and Kent W. Mouw, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School; and Sophia C. Kamran, Harvard Radiation Oncology Program, Boston, MA
| | - Kent W. Mouw
- Sophia C. Kamran and Kent W. Mouw, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, Harvard Medical School; and Sophia C. Kamran, Harvard Radiation Oncology Program, Boston, MA
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50
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Ahmed MM, Coleman CN, Mendonca M, Bentzen S, Vikram B, Seltzer SM, Goodhead D, Obcemea C, Mohan R, Prise KM, Capala J, Citrin D, Kao G, Aryankalayil M, Eke I, Buchsbaum JC, Prasanna PGS, Liu FF, Le QT, Teicher B, Kirsch DG, Smart D, Tepper J, Formenti S, Haas-Kogan D, Raben D, Mitchell J. Workshop Report for Cancer Research: Defining the Shades of Gy: Utilizing the Biological Consequences of Radiotherapy in the Development of New Treatment Approaches-Meeting Viewpoint. Cancer Res 2018; 78:2166-2170. [PMID: 29686020 DOI: 10.1158/0008-5472.can-17-3760] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 02/13/2018] [Accepted: 02/19/2018] [Indexed: 01/03/2023]
Affiliation(s)
- Mansoor M Ahmed
- Radiation Research Program, National Cancer Institute, Bethesda, Maryland.
| | - C Norman Coleman
- Radiation Research Program, National Cancer Institute, Bethesda, Maryland. .,Radiation Oncology Branch, Centre for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Marc Mendonca
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Soren Bentzen
- Department of Epidemiology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Bhadrasain Vikram
- Radiation Research Program, National Cancer Institute, Bethesda, Maryland
| | | | | | - Ceferino Obcemea
- Radiation Research Program, National Cancer Institute, Bethesda, Maryland
| | - Radhe Mohan
- Division of Radiation Oncology, Department of Radiation Physics, The University of Texas, MD Anderson Cancer Centre, Houston, Texas
| | - Kevin M Prise
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, United Kingdom
| | - Jacek Capala
- Radiation Research Program, National Cancer Institute, Bethesda, Maryland
| | - Deborah Citrin
- Radiation Oncology Branch, Centre for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Gary Kao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Molykutty Aryankalayil
- Radiation Oncology Branch, Centre for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Iris Eke
- Radiation Oncology Branch, Centre for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | | | | | - Fei-Fei Liu
- Department of Radiation Oncology, University of Toronto, Princess Margaret Cancer Centre, Toronto, Canada
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California
| | - Beverly Teicher
- Development Therapeutics Program, National Cancer Institute, Bethesda, Maryland
| | - David G Kirsch
- Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina
| | - DeeDee Smart
- Radiation Oncology Branch, Centre for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Joel Tepper
- Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Silvia Formenti
- Department of Radiation Oncology, Weill Cornell Medical College, New York City, New York
| | - Daphne Haas-Kogan
- Department of Radiation Oncology, Harvard Medical School, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David Raben
- Department of Radiation Oncology; University of Colorado Cancer Center, Aurora, Colorado
| | - James Mitchell
- Radiation Biology Branch, National Cancer Institute, Bethesda, Maryland
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