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Bang C, Bernard G, Le WT, Lalonde A, Kadoury S, Bahig H. Artificial intelligence to predict outcomes of head and neck radiotherapy. Clin Transl Radiat Oncol 2023; 39:100590. [PMID: 36935854 PMCID: PMC10014342 DOI: 10.1016/j.ctro.2023.100590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 02/01/2023] Open
Abstract
Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary widely across patients. Advancements in radiotherapy delivery techniques, along with the increased quality and frequency of image guidance, offer a unique opportunity to individualize radiotherapy based on imaging biomarkers, with the aim of improving radiation efficacy while reducing its toxicity. Various artificial intelligence models integrating clinical data and radiomics have shown encouraging results for toxicity and cancer control outcomes prediction in head and neck cancer radiotherapy. Clinical implementation of these models could lead to individualized risk-based therapeutic decision making, but the reliability of the current studies is limited. Understanding, validating and expanding these models to larger multi-institutional data sets and testing them in the context of clinical trials is needed to ensure safe clinical implementation. This review summarizes the current state of the art of machine learning models for prediction of head and neck cancer radiotherapy outcomes.
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Key Words
- ADASYN, adaptive synthetic sampling
- AI, artificial intelligence
- ANN, artificial neural network
- AUC, Area Under the ROC Curve
- Artificial intelligence
- BMI, body mass index
- C-Index, concordance index
- CART, Classification and Regression Tree
- CBCT, cone-beam computed tomography
- CIFE, conditional informax feature extraction
- CNN, convolutional neural network
- CRT, chemoradiation
- CT, computed tomography
- Cancer outcomes
- DL, deep learning
- DM, distant metastasis
- DSC, Dice Similarity Coefficient
- DSS, clinical decision support systems
- DT, Decision Tree
- DVH, Dose-volume histogram
- GANs, Generative Adversarial Networks
- GB, Gradient boosting
- GPU, graphical process units
- HNC, head and neck cancer
- HPV, human papillomavirus
- HR, hazard ratio
- Head and neck cancer
- IAMB, incremental association Markov blanket
- IBDM, image based data mining
- IBMs, image biomarkers
- IMRT, intensity-modulated RT
- KNN, k nearest neighbor
- LLR, Local linear forest
- LR, logistic regression
- LRR, loco-regional recurrence
- MIFS, mutual information based feature selection
- ML, machine learning
- MRI, Magnetic resonance imaging
- MRMR, Minimum redundancy feature selection
- Machine learning
- N-MLTR, Neural Multi-Task Logistic Regression
- NPC, nasopharynx
- NTCP, Normal Tissue Complication Probability
- OPC, oropharyngeal cancer
- ORN, osteoradionecrosis
- OS, overall survival
- PCA, Principal component analysis
- PET, Positron emission tomography
- PG, parotid glands
- PLR, Positive likelihood ratio
- PM, pharyngeal mucosa
- PTV, Planning target volumes
- PreSANet, deep preprocessor module and self-attention
- Predictive modeling
- QUANTEC, Quantitative Analyses of Normal Tissue Effects in the Clinic
- RF, random forest
- RFC, random forest classifier
- RFS, recurrence free survival
- RLR, Rigid logistic regression
- RRF, Regularized random forest
- RSF, random survival forest
- RT, radiotherapy
- RTLI, radiation-induced temporal lobe injury
- Radiomic
- SDM, shared decision making
- SMG, submandibular glands
- SMOTE, synthetic minority over-sampling technique
- STIC, sticky saliva
- SVC, support vector classifier
- SVM, support vector machine
- XGBoost, extreme gradient boosting
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Affiliation(s)
- Chulmin Bang
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Corresponding author at: Centre Hospitalier de l'Université de Montréal, 3840 Rue Saint-Urbain, Montréal, QC H2W 1T8, Canada.
| | - Galaad Bernard
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
| | - William T. Le
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Polytechnique Montréal, Montreal, QC, Canada
| | - Arthur Lalonde
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Université de Montréal, Montreal, QC, Canada
| | - Samuel Kadoury
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Polytechnique Montréal, Montreal, QC, Canada
| | - Houda Bahig
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
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Mitchell JD, Cehic DA, Morgia M, Bergom C, Toohey J, Guerrero PA, Ferencik M, Kikuchi R, Carver JR, Zaha VG, Alvarez-Cardona JA, Szmit S, Daniele AJ, Lopez-Mattei J, Zhang L, Herrmann J, Nohria A, Lenihan DJ, Dent SF. Cardiovascular Manifestations From Therapeutic Radiation: A Multidisciplinary Expert Consensus Statement From the International Cardio-Oncology Society. JACC CardioOncol 2021; 3:360-380. [PMID: 34604797 PMCID: PMC8463721 DOI: 10.1016/j.jaccao.2021.06.003] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 06/09/2021] [Accepted: 06/14/2021] [Indexed: 01/09/2023]
Abstract
Radiation therapy is a cornerstone of cancer therapy, with >50% of patients undergoing therapeutic radiation. As a result of widespread use and improved survival, there is increasing focus on the potential long-term effects of ionizing radiation, especially cardiovascular toxicity. Radiation therapy can lead to atherosclerosis of the vasculature as well as valvular, myocardial, and pericardial dysfunction. We present a consensus statement from the International Cardio-Oncology Society based on general principles of radiotherapy delivery and cardiovascular risk assessment and risk mitigation in this population. Anatomical-based recommendations for cardiovascular management and follow-up are provided, and a priority is given to the early detection of atherosclerotic vascular disease on imaging to help guide preventive therapy. Unique management considerations in radiation-induced cardiovascular disease are also discussed. Recommendations are based on the most current literature and represent a unanimous consensus by the multidisciplinary expert panel. Radiation therapy leads to short- and long-term cardiovascular adverse effects of the vasculature and the heart, including valvular, myocardial, and pericardial disease. Computed tomography scans conducted for radiation planning or cancer staging provide an available opportunity to detect asymptomatic atherosclerosis and direct preventive therapies. Additional practical screening recommendations for cardiovascular disease based on anatomical exposure are provided. There are unique considerations in the management of radiation-induced cardiovascular disease; contemporary percutaneous treatment is often preferred over surgical options.
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Key Words
- CABG, coronary artery bypass graft
- CAC, coronary artery calcium
- CAD, coronary artery disease
- CI, confidence interval
- CT, computed tomography
- CTCA, computed tomography coronary angiography
- CV, cardiovascular
- DIBH, deep inspiratory breath hold
- HF, heart failure
- HL, Hodgkin lymphoma
- HNC, head and neck cancer
- HR, hazard ratio
- LIMA, left internal mammary artery
- MRI, magnetic resonance imaging
- NT-proBNP, N-terminal pro–B-type natriuretic peptide
- OR, odds ratio
- PAD, peripheral arterial disease
- RT, radiation therapy
- SAVR, surgical aortic valve replacement
- SVC, superior vena cava
- TAVR, transcatheter aortic valve replacement
- TTE, transthoracic echocardiogram
- aHR, adjusted hazard ratio
- cancer
- cardiovascular disease
- imaging
- prevention
- radiation therapy
- screening
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Affiliation(s)
- Joshua D. Mitchell
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
- Address for correspondence: Dr Joshua D. Mitchell, Cardio-Oncology Center of Excellence, Washington University in St Louis, 660 South Euclid Avenue, Campus Box 8086, St. Louis, Missouri 63110-1093, USA. @joshmitchellmd@Dr_Daniel_Cehic@carmenbergom@ICOSociety
| | | | - Marita Morgia
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Carmen Bergom
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Joanne Toohey
- Department of Radiation Oncology, GenesisCare, St. Vincent's Hospital, Sydney, New South Wales, Australia
| | | | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Robin Kikuchi
- Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, North Carolina, USA
| | - Joseph R. Carver
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vlad G. Zaha
- Cardiology Division, Department of Internal Medicine, Harold C. Simmons Comprehensive Cancer Center, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Parkland Health and Hospital System, Dallas, Texas, USA
| | - Jose A. Alvarez-Cardona
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Sebastian Szmit
- Department of Pulmonary Circulation, Thromboembolic Diseases and Cardiology, Centre of Postgraduate Medical Education, European Health Centre, Otwock, Poland
| | | | - Juan Lopez-Mattei
- Departments of Cardiology and Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lili Zhang
- Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jörg Herrmann
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Anju Nohria
- Cardio-Oncology Program, Dana Farber Cancer Institute/Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Daniel J. Lenihan
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Susan F. Dent
- Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, North Carolina, USA
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Zhang H, Fu L. The role of ALDH2 in tumorigenesis and tumor progression: Targeting ALDH2 as a potential cancer treatment. Acta Pharm Sin B 2021; 11:1400-11. [PMID: 34221859 DOI: 10.1016/j.apsb.2021.02.008] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/29/2020] [Accepted: 12/01/2020] [Indexed: 12/12/2022] Open
Abstract
A major mitochondrial enzyme for protecting cells from acetaldehyde toxicity is aldehyde dehydrogenase 2 (ALDH2). The correlation between ALDH2 dysfunction and tumorigenesis/growth/metastasis has been widely reported. Either low or high ALDH2 expression contributes to tumor progression and varies among different tumor types. Furthermore, the ALDH2∗2 polymorphism (rs671) is the most common single nucleotide polymorphism (SNP) in Asia. Epidemiological studies associate ALDH2∗2 with tumorigenesis and progression. This study summarizes the essential functions and potential ALDH2 mechanisms in the occurrence, progression, and treatment of tumors in various types of cancer. Our study indicates that ALDH2 is a potential therapeutic target for cancer therapy.
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Key Words
- 4-HNE, 4-hydroxy-2-nonenal
- ALD, alcoholic liver disease
- ALDH2
- ALDH2, aldehyde dehydrogenase 2
- AMPK, AMP-activated protein kinase
- Acetaldehyde
- BCa, bladder cancer
- COUP-TF, chicken ovalbumin upstream promoter-transcription factor
- CRC, colorectal cancer
- CSCs, cancer stem cells
- Cancer
- Cancer therapy
- DFS, disease-free survival
- EC, esophageal cancer
- FA, Fanconi anemia
- FANCD2, Fanconi anemia protein
- GCA, gastric cancer
- HCC, hepatocellular carcinoma
- HDACs, histone deacetylases
- HNC, head and neck cancer
- HNF-4, hepatocyte nuclear factor 4
- HR, homologous recombination
- LCSCs, liver cancer stem cells
- MDA, malondialdehyde
- MDR, multi-drug resistance
- MN, micronuclei
- Metastasis
- NAD, nicotinamide adenine dinucleotide
- NCEs, normochromic erythrocytes
- NER, nucleotide excision repair pathway
- NF-κB, nuclear factor-κB
- NHEJ, non-homologous end-joining
- NRF2, nuclear factor erythroid 2 (NF-E2)-related factor 2
- NRRE, nuclear receptor response element
- NSCLC, non-small-cell lung
- NeG, 1,N2-etheno-dGuo
- OPC, oropharyngeal cancer
- OS, overall survival
- OvCa, ovarian cancer
- PBMC, peripheral blood mononuclear cell
- PC, pancreatic cancer
- PdG, N2-propano-2′-deoxyguanosine
- Polymorphism
- Progression
- REV1, Y-family DNA polymerase
- SCC, squamous cell carcinoma
- TGF-β, transforming growth factor β
- Tumorigenesis
- VHL, von Hippel-Lindau
- ccRCC, clear-cell renal cell carcinomas
- εPKC, epsilon protein kinase C
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Hedström J, Tuomi L, Finizia C, Olsson C. Identifying organs at risk for radiation-induced late dysphagia in head and neck cancer patients. Clin Transl Radiat Oncol 2019; 19:87-95. [PMID: 31646203 PMCID: PMC6804434 DOI: 10.1016/j.ctro.2019.08.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 11/02/2022] Open
Abstract
Background and purpose Dysphagia is a common, severe and dose-limiting toxicity after oncological treatment of head and neck cancer (HNC). This study aims to investigate relationships between radiation doses to structures involved in normal swallowing and patient-reported as well as clinically measured swallowing function in HNC patients after curative (chemo-) radiation therapy (RT) with focus on late effects. Materials and methods Patients (n = 90) with HNC curatively treated with RT ± chemotherapy in 2007-2015 were assessed for dysphagia post-treatment by telephone interview and videofluoroscopy (VFS). A study-specific symptom score was used to determine patient-reported dysphagia. The Penetration-Aspiration Scale (PAS) was applied to determine swallowing function by VFS (PAS ≥ 4/ ≥ 6 = moderate/severe dysphagia). Thirteen anatomical structures involved in normal swallowing were individually delineated on the patients' original planning CT scans and associated dose-volume histograms (DVHs) retrieved. Relationships between structure doses and late toxicity were investigated through univariable and multivariable logistic regression analysis (UVA/MVA) accounting for effects by relevant clinical factors. Results Median assessment time was 7 months post-RT (range: 5-34 months). Mean dose to the contralateral parotid gland and supraglottic larynx as well as maximum dose to the contralateral anterior digastric muscle predicted patient-reported dysphagia (AUC = 0.64-0.67). Mean dose to the pharyngeal constrictor muscle, the larynx, the supraglottic larynx and the epiglottis, as well as maximum dose to the contralateral submandibular gland predicted moderate and severe dysphagia by VFS (AUC = 0.71-0.80). Conclusion The patients in this cohort were consecutively identified pre-treatment, and were structurally approached and assessed for dysphagia after treatment at a specific time point. In addition to established dysphagia organs-at-risk (OARs), our data suggest that epiglottic and submandibular gland doses are important for swallowing function post-RT. Keeping DVH thresholds below V60 = 60% and V60 = 17%, respectively, may increase chances to reduce occurrence of severe late dysphagia. The results need to be externally validated in future studies.
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Key Words
- 3D-CRT, Three Dimensional Conformal Radiation Therapy
- AAA, Anisotropic Analytical Algorithm
- ACE-27, Adult Comorbidity Evaluation 27
- AUC, area under the Receiver Operating Characteristic (ROC) curve
- BMI, body mass index
- CI, confidence interval
- CT, computed tomography
- Cc, cubic centimeter
- DARS, dysphagia-aspiration-related structures
- DESdC, Drinking, Eating, Swallowing difficulties and Coughing when eating/drinking
- DVH, dose-volume histogram
- Deglutition disorders
- Dysphagia-aspiration-related structures
- EBRT, external beam radiation therapy
- EQD2, equivalent dose in 2Gy fractions
- Gy, Gray
- HNC, head and neck cancer
- Head and neck neoplasms
- ICRU, International Commission on Radiation Units and Measurements
- IMRT, intensity-modulated radiation therapy
- MVA, multivariable logistic regression
- N.A, non applicable
- OAR, organ-at-risk
- OR, odds ratio
- PAS, penetration-aspiration scale
- PCM, pharyngeal constrictor muscle
- PRO, patient-reported outcome
- QoL, quality of life
- ROC, Receiver Operating Characteristic curve
- RT, radiation therapy
- Radiation dose
- Radiation therapy
- SD, standard deviation
- SEM, standard error of the mean
- SLP, speech-language pathologist
- TNM, Tumor location, Nodular engagement, Metastasis
- UES, upper esophageal sphincter
- UVA, univariable logistic regression
- VFS, videofluoroscopy
- VMAT, volumetric-modulated radiation therapy
- Vx, the volume (%) of a structure receiving ≥xGy.
- ρ, Spearman’s Correlation Coefficient
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Affiliation(s)
- Johanna Hedström
- Department of Otorhinolaryngology, Head and Neck Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, 413 45 Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Anesthesia and Intensive Care, Area 2, 416 85 Gothenburg, Sweden
| | - Lisa Tuomi
- Department of Otorhinolaryngology, Head and Neck Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, 413 45 Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Otorhinolaryngology, 413 45 Gothenburg, Sweden
| | - Caterina Finizia
- Department of Otorhinolaryngology, Head and Neck Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, 413 45 Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Otorhinolaryngology, 413 45 Gothenburg, Sweden
| | - Caroline Olsson
- Department of Radiation Physics, Institute of Clinical Sciences, the Sahlgrenska Academy Gothenburg University, 413 45 Gothenburg, Sweden.,Regional Cancer Center West, the Western Sweden Healthcare Region, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
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Kiser K, Meheissen MA, Mohamed AS, Kamal M, Ng SP, Elhalawani H, Jethanandani A, He R, Ding Y, Rostom Y, Hegazy N, Bahig H, Garden A, Lai S, Phan J, Gunn GB, Rosenthal D, Frank S, Brock KK, Wang J, Fuller CD. Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients. Clin Transl Radiat Oncol 2019; 18:120-127. [PMID: 31341987 PMCID: PMC6630195 DOI: 10.1016/j.ctro.2019.04.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 04/19/2019] [Accepted: 04/22/2019] [Indexed: 11/23/2022] Open
Abstract
MRI-CT deformable image registration was not superior to rigid registration. Dice similarity coefficients were 0.65, 0.62, and 0.63 for deformable registrations. Dice similarity coefficient was 0.63 for rigid registration. Registration quality was superior in muscle and gland compared to bone and vessel.
Background MRI-guided radiotherapy planning (MRIgRT) may be superior to CT-guided planning in some instances owing to its improved soft tissue contrast. However, MR images do not communicate tissue electron density information necessary for dose calculation and therefore must either be co-registered to CT or algorithmically converted to synthetic CT. No robust quality assessment of commercially available MR-CT registration algorithms is yet available; thus we sought to quantify MR-CT registration formally. Methods Head and neck non-contrast CT and T2 MRI scans acquired with standard treatment immobilization techniques were prospectively acquired from 15 patients. Per scan, 35 anatomic regions of interest (ROIs) were manually segmented. MRIs were registered to CT rigidly (RIR) and by three commercially available deformable registration algorithms (DIR). Dice similarity coefficient (DSC), Hausdorff distance mean (HD mean) and Hausdorff distance max (HD max) metrics were calculated to assess concordance between MRI and CT segmentations. Each DIR algorithm was compared to DIR using the nonparametric Steel test with control for individual ROIs (n = 105 tests) and for all ROIs in aggregate (n = 3 tests). The influence of tissue type on registration fidelity was assessed using nonparametric Wilcoxon pairwise tests between ROIs grouped by tissue type (n = 12 tests). Bonferroni corrections were applied for multiple comparisons. Results No DIR algorithm improved the segmentation quality over RIR for any ROI nor all ROIs in aggregate (all p values >0.05). Muscle and gland ROIs were significantly more concordant than vessel and bone, but DIR remained non-different from RIR. Conclusions For MR-CT co-registration, our results question the utility and applicability of commercially available DIR over RIR alone. The poor overall performance also questions the feasibility of translating tissue electron density information to MRI by CT registration, rather than addressing this need with synthetic CT generation or bulk-density assignment.
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Key Words
- CT, computed tomography
- CT-MRI image registration
- DICOM, digital imaging and communications in medicine
- DIR, deformable image registration
- DSC, dice similarity coefficient
- Deformable image registration
- HD max, Hausdorff maximum distance
- HD mean, Hausdorff mean distance
- HNC, head and neck cancer
- HPV, human papillomavirus
- HU, Hounsfield units
- IMRT, intensity-modulated radiation therapy
- MAE, mean absolute error
- MRI, magnetic resonance imaging
- MRI-guided radiotherapy
- MRIgRT, MRI-guided radiotherapy planning
- MRL, MRI linear accelerator
- OAR, organ(s) at risk
- Quality assessment
- RIR, rigid image registration
- RT, radiation therapy
- Rigid image registration
- sCT, synthetic computed tomography
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Affiliation(s)
| | - Kendall Kiser
- University of Texas, John P. and Kathrine G. McGovern Medical School, 6431 Fannin Street, Houston, TX 77030, USA
- UT Health School of Biomedical Informatics, 7000 Fannin Street, Suite 600, Houston, TX 77030, USA
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Mohamed A.M. Meheissen
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt
| | - Abdallah S.R. Mohamed
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt
- MD Anderson Cancer Center/UT Health Graduate School of Biomedical Sciences, 6767 Bertner Avenue, Houston, TX 77030, USA
| | - Mona Kamal
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Ain Shams, Lofty El-Said Street, 1156 Cairo, Egypt
| | - Sweet Ping Ng
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Radiation Oncolog, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC 3000, Australia
| | - Hesham Elhalawani
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Amit Jethanandani
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- College of Medicine, University of Tennessee Health Science Center, 910 Madison Avenue #1002, Memphis, TN 38103, USA
| | - Renjie He
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Yao Ding
- Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Yousri Rostom
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt
| | - Neamat Hegazy
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt
| | - Houda Bahig
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Radiation Oncology, Centre Hospitalier de l’Universite de Montreal, 1051 Rue Sanguinet, Montreal, QC H2X 3E4, Canada
| | - Adam Garden
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Stephen Lai
- Department of Head and Neck Surgery, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Jack Phan
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Gary B. Gunn
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - David Rosenthal
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Steven Frank
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Kristy K. Brock
- Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Department of Imaging Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Jihong Wang
- Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Clifton D. Fuller
- Department of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- Corresponding author.
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Yamada S, Itai S, Kaneko MK, Kato Y. Detection of high PD-L1 expression in oral cancers by a novel monoclonal antibody L 1Mab-4. Biochem Biophys Rep 2018; 13:123-128. [PMID: 29556567 PMCID: PMC5857169 DOI: 10.1016/j.bbrep.2018.01.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 01/23/2018] [Accepted: 01/23/2018] [Indexed: 12/28/2022] Open
Abstract
Programmed cell death-ligand 1 (PD-L1), which is a ligand of programmed cell death-1 (PD-1), is a type I transmembrane glycoprotein that is expressed on antigen-presenting cells and several tumor cells, including melanoma and lung cancer cells. There is a strong correlation between human PD-L1 (hPD-L1) expression on tumor cells and negative prognosis in cancer patients. In this study, we produced a novel anti-hPD-L1 monoclonal antibody (mAb), L1Mab-4 (IgG2b, kappa), using cell-based immunization and screening (CBIS) method and investigated hPD-L1 expression in oral cancers. L1Mab-4 reacted with oral cancer cell lines (Ca9-22, HO-1-u-1, SAS, HSC-2, HSC-3, and HSC-4) in flow cytometry and stained oral cancers in a membrane-staining pattern. L1Mab-4 stained 106/150 (70.7%) of oral squamous cell carcinomas, indicating the very high sensitivity of L1Mab-4. These results indicate that L1Mab-4 could be useful for investigating the function of hPD-L1 in oral cancers. Programmed cell death-ligand 1 (PD-L1) is expressed in many cancers. PD-L1 expression has not been fully investigated in oral cancers. A novel anti-PD-L1 mAb L1Mab-4 was developed in this study. L1Mab-4 stained 70.7% of oral SCCs in a membrane-staining pattern.
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Key Words
- ACC, adenoid cystic carcinoma
- APC, antigen-presenting cell
- BSA, bovine serum albumin
- CBIS, cell-based immunization and screening
- CTLA-4, cytotoxic T-lymphocyte-associated antigen 4
- DAB, 3,3-diaminobenzidine tetrahydrochloride
- DMEM, Dulbecco's Modified Eagle's Medium
- EDTA, ethylenediaminetetraacetic acid
- FBS, fetal bovine serum
- HNC, head and neck cancer
- MEC, mucoepidermoid carcinoma
- Monoclonal antibody
- Oral cancer
- PBS, phosphate-buffered saline
- PD-1, programmed cell death-1
- PD-L1, Programmed cell death-ligand 1
- Programmed cell death-ligand 1
- SCC, squamous cell carcinoma
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Affiliation(s)
- Shinji Yamada
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Shunsuke Itai
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Mika K Kaneko
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
| | - Yukinari Kato
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan
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Kudrimoti M, Curtis A, Azawi S, Worden F, Katz S, Adkins D, Bonomi M, Scott Z, Elder J, Sonis ST, Straube R, Donini O. Dusquetide: Reduction in oral mucositis associated with enduring ancillary benefits in tumor resolution and decreased mortality in head and neck cancer patients. ACTA ACUST UNITED AC 2017. [PMID: 28649557 PMCID: PMC5470438 DOI: 10.1016/j.btre.2017.05.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Dusquetide was well-tolerated during treatment and throughout the 12-month follow-up. Dusquetide did not interfere with tumor treatment. Dusquetide treated groups had less mortality that placebo treated groups through the 12-month follow-up. Dusquetide treated groups had fewer “non-fungal” infections than placebo treated groups.
Innate immunity is a key component in the pathogenesis of oral mucositis, a universal toxicity of chemoradiation therapy (CRT). Dusquetide, a novel Innate Defense Regulator, has demonstrated both nonclinical and clinical efficacy in ameliorating severe oral mucositis (SOM). Long term follow-up studies from the Phase 2 clinical study evaluating dusquetide as a treatment for SOM in head and neck cancer (HNC) patients receiving CRT have now been completed. Extended analysis indicates that dusquetide therapy was well-tolerated and did not contribute to increased infection, tumor growth or mortality. Potential ancillary benefits of duquetide therapy were also identified.
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Affiliation(s)
- Mahesh Kudrimoti
- Radiation Oncology, University of Kentucky, 800 Rose Street, Lexington, KY, 40536, USA
| | - Amarinthia Curtis
- Gibbs Cancer Center, Spartanburg Regional Hospital, 101 E Wood, Spartanburg, SC, 29303, USA
| | - Samar Azawi
- Veteran's Affairs Long Beach Hospital, 5901 E 7th Street, Mail Code 114A, Long Beach, CA, 98022, USA
| | - Francis Worden
- Department of Medicine, University of Michigan Health System,1500 E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Sanford Katz
- Department of Radiation Oncology, Willis-Knighton Cancer Center,2600 Kings Highway, Shreveport, LA, 71103, USA
| | - Douglas Adkins
- Division of Hematology and Oncology, Washington University, 660 South Euclid Avenue, Saint Louis, MO, 63110, USA
| | - Marcelo Bonomi
- Department of Hematology and Oncology, Wake Forest Health Sciences Medical Center, 1 Medical Center Blvd., Winston-Salem, NC, 27157, USA
| | - Zack Scott
- PharPoint Research, 5003 S Miami Blvd #100, Durham, NC, 27703, USA
| | - Jenna Elder
- PharPoint Research, 5003 S Miami Blvd #100, Durham, NC, 27703, USA
| | - Stephen T Sonis
- Oral Medicine and Diagnostic Services, Dana Farber/Harvard Cancer Center, Boston, MA, USA.,Biomodels LLC,313 Pleasant Street, Watertown, MA 02472, USA
| | - Richard Straube
- Soligenix Inc., 29 Emmons Drive, Suite C-10, Princeton, NJ, 08540, USA
| | - Oreola Donini
- Soligenix Inc., 29 Emmons Drive, Suite C-10, Princeton, NJ, 08540, USA
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