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Navarrete-Dechent C, Rajadhyaksha M, Marghoob AA, Nehal KS, Halpern A, Rossi AM, Jain M. Continuing Medical Education-accredited reflectance confocal microscopy course in the USA and its impact on learning and clinical integration: report from a single centre. Clin Exp Dermatol 2024; 49:408-409. [PMID: 38039138 PMCID: PMC10957219 DOI: 10.1093/ced/llad422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 12/03/2023]
Abstract
Reflectance confocal microscopy (RCM) images skin lesions noninvasively at quasi-histological resolution. RCM has improved the diagnosis of skin neoplasms, and recently acquired billing codes in the USA.1 However, reading RCM images requires training, imposing a major barrier to its widespread adoption.2 To date, RCM learning has not been standardized and is primarily based on ‘mentorship’ and ‘on-site’ learning. There is a paucity of CME-accredited RCM courses in the USA and across the globe, as well as a lack of reports on CME’s clinical impact. This study aimed to evaluate the impact of a short-duration RCM course on learning and clinical integration.
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Affiliation(s)
- Cristian Navarrete-Dechent
- Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Milind Rajadhyaksha
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ashfaq A Marghoob
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kishwer S Nehal
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allan C Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony M Rossi
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Manu Jain
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Torres-Blasco N, Peña-Vargas C, Costas-Muñiz R, Rosario-Ramos L, Shen MJ, Castro E. Psychosocial symptoms associated with spiritual well-being in Latino patients and caregivers coping with advanced cancer. Support Care Cancer 2024; 32:195. [PMID: 38411749 DOI: 10.1007/s00520-024-08360-2] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024]
Abstract
PURPOSE The objective of this study was to investigate the relationship among hopelessness, anxiety, and depression, with spiritual well-being in patients and family caregivers. METHODS A cross-sectional survey was administered to patients (n = 57) and caregivers (n = 57) that incorporated assessments that measured spiritual well-being, depression, anxiety, hopelessness, quality of life, family relationship, burden, fatalism, religiosity, and distress. Logistic regression and cross-tabulation analyses were conducted to examine the relationship between hopelessness, anxiety, and depression, with spiritual well-being. Logistic regression was used to quantify the impact of spiritual well-being on anxiety, depression, and hopelessness. Additionally, cross-tabulations with chi-square tests were conducted to explore associations between severity of hopelessness and severity of anxiety and depression. RESULTS Logistic regression analyses showed negative associations between spiritual well-being and mental health outcomes, although not all findings were statistically significant. Among caregivers, a significant negative relationship was observed for depression (B = - 0.161, p = 0.022). Hopelessness also exhibited a negative association with spiritual well-being among caregivers (B = - 0.099, p = 0.054) and patients (B = - .152, p = 0.038). Cross-tabulations highlighted significant associations in the severity of hopelessness symptoms with anxiety and depression levels among caregivers (p < .001). CONCLUSION Results reveal a relationship among psychosocial symptoms among Latino patient-caregivers coping with cancer. By emphasizing spiritual well-being, hopelessness, and anxiety and involving family patients and caregivers in the treatment process as a unit of care. Also, it indicates the need to develop culturally tailored interventions that aim to provide valuable assistance to Latino patients and caregivers coping with cancer.
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Grants
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 5G12MD007579, 5R25MD007607, R21MD013674, and 5U54MS007579-35 National Institute of Minority Health and Health Disparities
- 2U54CA163071 and 2U54CA163068), R21CA180831-02 , , 5K08CA234397-01A1 National Cancer Institute National Cancer Institute
- 2U54CA163071 and 2U54CA163068), R21CA180831-02 , , 5K08CA234397-01A1 National Cancer Institute National Cancer Institute
- 2U54CA163071 and 2U54CA163068), R21CA180831-02 , , 5K08CA234397-01A1 National Cancer Institute National Cancer Institute
- 2U54CA163071 and 2U54CA163068), R21CA180831-02 , , 5K08CA234397-01A1 National Cancer Institute National Cancer Institute
- P30CA008748 Memorial Sloan Kettering Cancer Center
- P30CA008748 Memorial Sloan Kettering Cancer Center
- P30CA008748 Memorial Sloan Kettering Cancer Center
- P30CA008748 Memorial Sloan Kettering Cancer Center
- 133798-PF-19-120-01-CPPB American Cancer Society
- 133798-PF-19-120-01-CPPB American Cancer Society
- 133798-PF-19-120-01-CPPB American Cancer Society
- 133798-PF-19-120-01-CPPB American Cancer Society
- 133798-PF-19-120-01-CPPB American Cancer Society
- 5U54MS007579-35 by National Institute of Minority Health and Health Disparities
- 5U54MS007579-35 by National Institute of Minority Health and Health Disparities
- 5U54MS007579-35 by National Institute of Minority Health and Health Disparities
- 5U54MS007579-35 by National Institute of Minority Health and Health Disparities
- 5U54MS007579-35 by National Institute of Minority Health and Health Disparities
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Affiliation(s)
- Normarie Torres-Blasco
- School of Behavioral and Brain Sciences, Ponce Health Sciences University, Ponce, Puerto Rico.
- Ponce's Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico.
| | - Cristina Peña-Vargas
- Ponce's Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Rosario Costas-Muñiz
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Lianel Rosario-Ramos
- School of Behavioral and Brain Sciences, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Megan J Shen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Eida Castro
- School of Behavioral and Brain Sciences, Ponce Health Sciences University, Ponce, Puerto Rico
- Ponce's Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
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Lumish MA, Walch H, Maron SB, Chatila W, Kemel Y, Maio A, Ku GY, Ilson DH, Won E, Li J, Joshi SS, Gu P, Schattner MA, Laszkowska M, Gerdes H, Jones DR, Sihag S, Coit DG, Tang LH, Strong VE, Molena D, Stadler ZK, Schultz N, Janjigian YY, Cercek A. Clinical and molecular characteristics of early-onset vs average-onset esophagogastric cancer. J Natl Cancer Inst 2024; 116:299-308. [PMID: 37699004 PMCID: PMC10852615 DOI: 10.1093/jnci/djad186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/21/2023] [Accepted: 08/21/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND The rate of esophagogastric cancer is rising among individuals under 50 years of age. It remains unknown whether early-onset esophagogastric cancer represents a unique entity. This study investigated the clinical and molecular characteristics of early-onset and average-onset esophagogastric cancer . METHODS We reviewed the Memorial Sloan Kettering Cancer Center gastric, esophageal, and gastroesophageal junction cancer database. Associations between baseline characteristics and tumor and germline molecular alterations were compared between those with early-onset and average-onset esophagogastric cancer using Fisher exact tests and the Benjamini-Hochberg method for multiple-hypothesis correction. RESULTS We included 1123 patients with early-onset esophagogastric cancer (n = 219; median age = 43 years [range = 18-49 years]) and average-onset esophagogastric cancer (n = 904; median age = 67 years [range = 50-94 years]) treated between 2005 and 2018. The early-onset group had more women (39% vs 28%, P = .002). Patients with early-onset esophagogastric cancer were more likely to have a gastric primary site (64% vs 44%, P < .0001). The signet ring cell and/or diffuse type was 3 times more common in the early-onset esophagogastric cancer group (31% vs 9%, P < .0001). Early-onsite tumors were more frequently genomically stable (31% vs 18%, P = .0002) and unlikely to be microsatellite instability high (2% vs 7%, P = .003). After restricting to adenocarcinoma and signet ring cell and/or diffuse type carcinomas, we observed no difference in stage (P = .40) or overall survival from stage IV diagnosis (median = 22.7 vs 22.1 months, P = .78). CONCLUSIONS Our study supported a preponderance of gastric primary disease sites, signet ring histology, and genomically stable molecular subtypes in early-onset esophagogastric cancer. Our findings highlight the need for further research to define the underlying pathogenesis and strategies for early detection and prevention.
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Affiliation(s)
- Melissa A Lumish
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Henry Walch
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steven B Maron
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Walid Chatila
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Robert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Robert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Geoffrey Y Ku
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - David H Ilson
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Elizabeth Won
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Jia Li
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Smita S Joshi
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Ping Gu
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Mark A Schattner
- Gastroenterology, Hepatology and Nutrition Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Monika Laszkowska
- Gastroenterology, Hepatology and Nutrition Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hans Gerdes
- Gastroenterology, Hepatology and Nutrition Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David R Jones
- Department of Surgery Memorial, Sloan Kettering Cancer Center, New York, NY, USA
| | - Smita Sihag
- Department of Surgery Memorial, Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel G Coit
- Department of Surgery Memorial, Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura H Tang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vivian E Strong
- Department of Surgery Memorial, Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniela Molena
- Department of Surgery Memorial, Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia K Stadler
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Robert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikolaus Schultz
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Y Janjigian
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Andrea Cercek
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
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Servin F, Collins JA, Heiselman JS, Frederick-Dyer KC, Planz VB, Geevarghese SK, Brown DB, Jarnagin WR, Miga MI. Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model. IEEE Open J Eng Med Biol 2023; 5:107-124. [PMID: 38445239 PMCID: PMC10914207 DOI: 10.1109/ojemb.2023.3345733] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/14/2023] [Accepted: 12/04/2023] [Indexed: 03/07/2024] Open
Abstract
Emerging computational tools such as healthcare digital twin modeling are enabling the creation of patient-specific surgical planning, including microwave ablation to treat primary and secondary liver cancers. Healthcare digital twins (DTs) are anatomically one-to-one biophysical models constructed from structural, functional, and biomarker-based imaging data to simulate patient-specific therapies and guide clinical decision-making. In microwave ablation (MWA), tissue-specific factors including tissue perfusion, hepatic steatosis, and fibrosis affect therapeutic extent, but current thermal dosing guidelines do not account for these parameters. This study establishes an MR imaging framework to construct three-dimensional biophysical digital twins to predict ablation delivery in livers with 5 levels of fat content in the presence of a tumor. Four microwave antenna placement strategies were considered, and simulated microwave ablations were then performed using 915 MHz and 2450 MHz antennae in Tumor Naïve DTs (control), and Tumor Informed DTs at five grades of steatosis. Across the range of fatty liver steatosis grades, fat content was found to significantly increase ablation volumes by approximately 29-l42% in the Tumor Naïve and 55-60% in the Tumor Informed DTs in 915 MHz and 2450 MHz antenna simulations. The presence of tumor did not significantly affect ablation volumes within the same steatosis grade in 915 MHz simulations, but did significantly increase ablation volumes within mild-, moderate-, and high-fat steatosis grades in 2450 MHz simulations. An analysis of signed distance to agreement for placement strategies suggests that accounting for patient-specific tumor tissue properties significantly impacts ablation forecasting for the preoperative evaluation of ablation zone coverage.
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Affiliation(s)
- Frankangel Servin
- Department of Biomedical EngineeringVanderbilt UniversityNashvilleTN37235USA
- Vanderbilt Institute for Surgery and EngineeringVanderbilt UniversityNashvilleTN37235USA
| | - Jarrod A. Collins
- Department of Biomedical EngineeringVanderbilt UniversityNashvilleTN37235USA
| | - Jon S. Heiselman
- Department of Biomedical EngineeringVanderbilt UniversityNashvilleTN37235USA
- Vanderbilt Institute for Surgery and EngineeringVanderbilt UniversityNashvilleTN37235USA
- Department of Surgery, Hepatopancreatobiliary ServiceMemorial Sloan Kettering Cancer CenterNew YorkNY10065USA
| | | | - Virginia B. Planz
- Department of RadiologyVanderbilt University Medical CenterNashvilleTN37235USA
| | | | - Daniel B. Brown
- Department of RadiologyVanderbilt University Medical CenterNashvilleTN37235USA
| | - William R. Jarnagin
- Department of Surgery, Hepatopancreatobiliary ServiceMemorial Sloan Kettering Cancer CenterNew YorkNY10065USA
| | - Michael I. Miga
- Department of Biomedical EngineeringVanderbilt UniversityNashvilleTN37235USA
- Vanderbilt Institute for Surgery and EngineeringVanderbilt UniversityNashvilleTN37235USA
- Department of RadiologyVanderbilt University Medical CenterNashvilleTN37235USA
- Department of Neurological SurgeryVanderbilt University Medical CenterNashvilleTN37235USA
- Department of OtolaryngologyVanderbilt University Medical CenterNashvilleTN37235USA
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Chaturvedi R, Bulat E, Cushman J, Hung J, Gulati A. Ultrasound-guided periosteal injection for the treatment of bony cancer pain: a retrospective cohort study. Pain Med 2023; 24:1399-1400. [PMID: 37432461 DOI: 10.1093/pm/pnad094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/12/2023]
Affiliation(s)
- Rahul Chaturvedi
- Department of Anesthesiology, New York-Presbyterian / Weill Cornell Medical Center, New York, NY 10021, United States
| | - Evgeny Bulat
- Department of Anesthesiology, New York-Presbyterian / Weill Cornell Medical Center, New York, NY 10021, United States
| | - Jennifer Cushman
- Department of Physical Medicine & Rehabilitation, Montefiore Hospital Medical Center, Bronx, NY 10467, United States
| | - Joseph Hung
- Department of Anesthesiology, Pain Management, Spine, Hospital for Special Surgery, New York, NY 10021, United States
| | - Amitabh Gulati
- Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States
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Berlin A, Ramotar M, Santiago AT, Liu Z, Li J, Wolinsky H, Wallis CJD, Chua MLK, Paner GP, van der Kwast T, Cooperberg MR, Vickers AJ, Urbach DR, Eggener SE. The influence of the "cancer" label on perceptions and management decisions for low-grade prostate cancer. J Natl Cancer Inst 2023; 115:1364-1373. [PMID: 37285311 PMCID: PMC10637044 DOI: 10.1093/jnci/djad108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Grade Group 1 (GG1) prostate cancer should be managed with active surveillance (AS). Global uptake of AS remains disappointingly slow and heterogeneous. Removal of cancer labels has been proposed to reduce GG1 overtreatment. We sought to determine the impact of GG1 disease terminology on individual's perceptions and decision making. METHODS Discrete choice experiments were conducted on 3 cohorts: healthy men, canonical partners (partners), and patients with GG1 (patients). Participants reported preferences in a series of vignettes with 2 scenarios each, permuting key opinion leader-endorsed descriptors: biopsy (adenocarcinoma, acinar neoplasm, prostatic acinar neoplasm of low malignant potential [PAN-LMP], prostatic acinar neoplasm of uncertain malignant potential), disease (cancer, neoplasm, tumor, growth), management decision (treatment, AS), and recurrence risk (6%, 3%, 1%, <1%). Influence on scenario selection were estimated by conditional logit models and marginal rates of substitution. Two additional validation vignettes with scenarios portraying identical descriptors except the management options were embedded into the discrete choice experiments. RESULTS Across cohorts (194 healthy men, 159 partners, and 159 patients), noncancer labels PAN-LMP or prostatic acinar neoplasm of uncertain malignant potential and neoplasm, tumor, or growth were favored over adenocarcinoma and cancer (P < .01), respectively. Switching adenocarcinoma and cancer labels to PAN-LMP and growth, respectively, increased AS choice by up to 17%: healthy men (15%, 95% confidence interval [CI] = 10% to 20%, from 76% to 91%, P < .001), partners (17%, 95% CI = 12% to 24%, from 65% to 82%, P < .001), and patients (7%, 95% CI = 4% to 12%, from 75% to 82%, P = .063). The main limitation is the theoretical nature of questions perhaps leading to less realistic choices. CONCLUSIONS "Cancer" labels negatively affect perceptions and decision making regarding GG1. Relabeling (ie, avoiding word "cancer") increases proclivity for AS and would likely improve public health.
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Affiliation(s)
- Alejandro Berlin
- Department of Radiation Oncology, University of Toronto; Radiation Medicine Program, Princess Margaret Cancer Centre; TECHNA Institute, University Health Network, Toronto, ON, Canada
| | - Matthew Ramotar
- Department of Radiation Oncology, University of Toronto; Radiation Medicine Program, Princess Margaret Cancer Centre; TECHNA Institute, University Health Network, Toronto, ON, Canada
| | - Anna T Santiago
- Department of Biostatistics, Princess Margaret Cancer Centre; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Zhihui Liu
- Department of Biostatistics, Princess Margaret Cancer Centre; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Joyce Li
- The University of Western Ontario, London, ON, Canada
| | - Howard Wolinsky
- AnCan Active Surveillance Virtual Support Group; The Active Surveillor Newsletter, Chicago, IL, USA
| | - Christopher J D Wallis
- Division of Urology, Department of Surgery, University of Toronto, Mount Sinai Hospital, and University Hospital Network, Toronto, ON, Canada
| | - Melvin L K Chua
- Divisions of Radiation Oncology and Medical Sciences, National Cancer Centre Singapore; Oncology Academic Programme, Duke-NUS Medical School, Singapore
| | - Gladell P Paner
- Departments of Pathology and Surgery, University of Chicago. Chicago, IL, USA
| | | | - Matthew R Cooperberg
- Departments of Urology and Epidemiology and Biostatistics, University of California San Francisco Comprehensive Cancer Center, San Francisco, CA, USA
| | - Andrew J Vickers
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David R Urbach
- Institute for Clinical Evaluative Sciences (ICES), Department of Surgery, University of Toronto; Perioperative Services, Women’s College Hospital and Research Institute, Toronto, ON, Canada
| | - Scott E Eggener
- Section of Urology, Department of Surgery, The University of Chicago Comprehensive Cancer Center, Chicago, IL, USA
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7
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Park HM, Le L, Nguyen TT, Nam KH, Ordureau A, Lee JE, Nguyen TV. The CRL3 gigaxonin ubiquitin ligase-USP15 pathway governs the destruction of neurofilament proteins. Proc Natl Acad Sci U S A 2023; 120:e2306395120. [PMID: 37903270 PMCID: PMC10636361 DOI: 10.1073/pnas.2306395120] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/20/2023] [Indexed: 11/01/2023] Open
Abstract
Giant axonal neuropathy (GAN) is caused by mutations in the GAN gene encoding for gigaxonin (GIG), which functions as an adaptor of the CUL3-RBX1-GIG (CRL3GIG) E3 ubiquitin ligase complex. The pathological hallmark of GAN is characterized by the accumulation of densely packed neurofilaments (NFs) in the axons. However, there are fundamental knowledge gaps in our understanding of the molecular mechanisms by which the ubiquitin-proteasome system controls the homeostasis of NF proteins. Recently, the deubiquitylating enzyme USP15 was reported to play a crucial role in regulating ubiquitylation and proteasomal degradation of CRL4CRBN substrate proteins. Here, we report that the CRL3GIG-USP15 pathway governs the destruction of NF proteins NEFL and INA. We identified a specific degron called NEFLL12 degron for CRL3GIG. Notably, mutations in the C-terminal Kelch domain of GIG, represented by L309R, R545C, and C570Y, disrupted the binding of GIG to NEFL and INA, leading to the accumulation of these NF proteins. This accounts for the loss-of-function mutations in GAN patients. In addition to regulating NFs, CRL3GIG also controls actin filaments by directly targeting actin-filament-binding regulatory proteins TPM1, TPM2, TAGLN, and CNN2 for proteasomal degradation. Thus, our findings broadly impact the field by providing fundamental mechanistic insights into regulating extremely long-lived NF proteins NEFL and INA by the CRL3GIG-USP15 pathway and offering previously unexplored therapeutic opportunities to treat GAN patients and other neurodegenerative diseases by explicitly targeting downstream substrates of CRL3GIG.
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Affiliation(s)
- Hyoung-Min Park
- Biometrology Group, Korea Research Institute of Standards and Science, Daejeon34113, Korea
| | - Ly Le
- Division of Quantum Simulation and Optimization, SandboxAQ, New York, NY10591
| | - Thao T. Nguyen
- Gehrke Proteomics Center, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO65211
| | - Ki Hong Nam
- Cell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Alban Ordureau
- Cell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - J. Eugene Lee
- Biometrology Group, Korea Research Institute of Standards and Science, Daejeon34113, Korea
| | - Thang Van Nguyen
- Center for Precision Medicine, Department of Medicine, University of Missouri, Columbia, MO65212
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Jiménez Padilla EA, Galindo Vázquez O, Jiménez Flores J, Costas Muñiz R, Meneses García A. Factors associated with the presence of fear of contagion and burnout syndrome in nursing personnel during the COVID-19 pandemic. J Res Nurs 2023; 28:418-431. [PMID: 38144962 PMCID: PMC10741272 DOI: 10.1177/17449871231202235] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023] Open
Abstract
Introduction During the COVID-19 pandemic, nursing personnel presented a higher prevalence of fear of contagion, anxiety symptoms, depression, and burnout syndrome. However, the variables associated with these conditions in Mexico are unknown. Objective To determine the clinical, sociodemographic, and psychological variables associated with fear of contracting COVID-19 and burnout syndrome in nursing personnel. Methods The study was a cross-sectional correlational study. It included 423 Mexican nursing professionals, working in public and private institutions, of different specialties aged 18-61 years (M = 36 years), the sampling was non-probabilistic by convenience. The instruments used were: COVID-19 fear scale, Maslach Burnout Inventory, Generalized Anxiety Disorder Scale-7 and Patient Health Questionnaire-9. Multinomial logistic regression models were used to analyse the results. Results The factors associated with fear of contagion were anxiety symptoms (Odds Ratio [OR]: 7.806, p < 0.05), caring for patients with COVID-19 (OR: 5.460, p < 0.05, 0.001) and mild emotional exhaustion (OR: 5.181, p < 0.05). The syndrome dimensions were: depressive symptoms (OR: 12.062; 7.667, p < 0.05), fear of contagion (OR: 4.978; 4.913; 4.921; 4.921, p < 0.01), marital status (OR: 3.404; 3.219, p < 0.05) and young age (OR: 1.064; 1.084, p < 0.05). Conclusions The factors associated with fear of contagion and burnout syndrome found were having clinical psychological symptoms, as well as being young, being single, being married and being in the health system caring for patients with COVID-19.
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Affiliation(s)
| | | | - Juan Jiménez Flores
- Full-time Professor, Faculty of Higher Studies Zaragoza, National Autonomous University of Mexico UNAM, Mexico
| | - Rosario Costas Muñiz
- Assistant, Department of Behavioral Sciences, Memorial Sloan Kettering Cancer Center MSKCC, USA
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9
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Rashidi A, Peled JU, Staley C. Reply to de Mooij et al. Clin Infect Dis 2023; 76:1153-1154. [PMID: 36370043 PMCID: PMC10226726 DOI: 10.1093/cid/ciac888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Armin Rashidi
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Division of Oncology, University of Washington, Seattle, Washington, USA
| | - Jonathan U Peled
- Adult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, New York, USA
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10
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Romesser PB, Sanchez-Vega F, Joshua Smith J. A methylation-based prognostic signature in stage II colorectal patients: Considerations for clinical adoption. J Natl Cancer Inst 2023; 115:8-11. [PMID: 36171662 PMCID: PMC9830476 DOI: 10.1093/jnci/djac184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 01/13/2023] Open
Affiliation(s)
- Paul B Romesser
- Colorectal Anal Cancer Service, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Early Drug Development Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco Sanchez-Vega
- Colorectal Cancer Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - J Joshua Smith
- Colorectal Cancer Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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11
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Bowers DC, Rajaram V, Karajannis MA, Gardner SL, Su JMF, Baxter P, Partap S, Klesse LJ. Phase II study of everolimus for recurrent or progressive pediatric ependymoma. Neurooncol Adv 2023; 5:vdad011. [PMID: 36950217 PMCID: PMC10025810 DOI: 10.1093/noajnl/vdad011] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
Background Preclinical studies have suggested that mTOR pathway signaling may be a potential therapeutic target for childhood ependymoma. Methods A phase II clinical trial (ClinicalTrials.gov identifier: NCT02155920) of single-agent everolimus was performed to test the hypothesis that mTOR pathway inhibition would result in tumor responses for children with recurrent and/or progressive ependymomas. Results Eleven subjects [sex: 4 females (36.4%); median age: 8 years (range: 2-15 years); race: 9 white; prior therapies: median 6 (range: 3-9)] were enrolled on the study. Ten primary tumors were located in the posterior fossa and one primary tumor was located in the spinal cord. Eight of 9 tumors were PF-A subtype epenydmomas. All subjects were treated with oral everolimus 4.5 mg/m2/day (each cycle = 28 days) that was titrated to achieve serum trough levels of 5-15 ng/ml. Overall, everolimus was well tolerated; except for a single event of grade 3 pneumonia, all adverse events were grade 1-2. No objective tumor responses were observed. Participating subjects experienced tumor progression and discontinued therapy after a median of 2 cycles of therapy (1 cycle = 2; 2 cycles = 6; 3, 4, and 8 cycles = 1 each). Conclusions Everolimus does not appear to have activity for children with recurrent or progressive PF-A ependymoma.
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Affiliation(s)
- Daniel C Bowers
- Corresponding Author: Daniel C. Bowers, MD, Department of Pediatrics, University of Texas Southwestern Medical School, 5323 Harry Hines Blvd., Dallas, TX, 75390-9063 ()
| | - Veena Rajaram
- Department of Pathology, University of Texas Southwestern Medical School, Dallas, TX, USA
| | | | - Sharon L Gardner
- Laura and Isaac Perlmutter Cancer Center at NYU Langone, New York, NY, USA
| | - Jack Meng-Fen Su
- Baylor College of Medicine/Dan L. Duncan Comprehensive Cancer Center, Houston, TX, USA
| | - Patricia Baxter
- Baylor College of Medicine/Dan L. Duncan Comprehensive Cancer Center, Houston, TX, USA
| | - Sonia Partap
- Departments of Neurology and Pediatrics, Stanford University, Stanford, CA, USA
| | - Laura J Klesse
- Harold C. Simmons Comprehensive Cancer Center and the Department of Pediatrics, University of Texas Southwestern Medical School, Dallas, TX, USA
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12
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Lavery JA, Brown S, Curry MA, Martin A, Sjoberg DD, Whiting K. A data processing pipeline for the AACR project GENIE biopharma collaborative data with the {genieBPC} R package. Bioinformatics 2023; 39:6909009. [PMID: 36519837 PMCID: PMC9822536 DOI: 10.1093/bioinformatics/btac796] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/28/2022] [Indexed: 12/23/2022] Open
Abstract
MOTIVATION Data from the American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange Biopharma Collaborative (GENIE BPC) represent comprehensive clinical data linked to high-throughput sequencing data, providing a multi-institution, pan-cancer, publicly available data repository. GENIE BPC data provide detailed demographic, clinical, treatment, genomic and outcome data for patients with cancer. These data result in a unique observational database of molecularly characterized tumors with comprehensive clinical annotation that can be used for health outcomes and precision medicine research in oncology. Due to the inherently complex structure of the multiple phenomic and genomic datasets, the use of these data requires a robust process for data integration and preparation in order to build analytic models. RESULTS We present the {genieBPC} package, a user-friendly data processing pipeline to facilitate the creation of analytic cohorts from the GENIE BPC data that are ready for clinico-genomic modeling and analyses. AVAILABILITY AND IMPLEMENTATION {genieBPC} is available on CRAN and GitHub.
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Affiliation(s)
| | - Samantha Brown
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 3rd Avenue New York, New York 10017, United States
| | - Michael A Curry
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 3rd Avenue New York, New York 10017, United States
| | - Axel Martin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 3rd Avenue New York, New York 10017, United States
| | - Daniel D Sjoberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 3rd Avenue New York, New York 10017, United States
| | - Karissa Whiting
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 3rd Avenue New York, New York 10017, United States
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Shi R, Zhang H, Morris Q. PAN-cODE: COVID-19 forecasting using conditional latent ODEs. J Am Med Inform Assoc 2022; 29:2089-2095. [PMID: 36047844 PMCID: PMC9667190 DOI: 10.1093/jamia/ocac160] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 07/22/2022] [Accepted: 08/31/2022] [Indexed: 01/07/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has caused millions of deaths around the world and revealed the need for data-driven models of pandemic spread. Accurate pandemic caseload forecasting allows informed policy decisions on the adoption of non-pharmaceutical interventions (NPIs) to reduce disease transmission. Using COVID-19 as an example, we present Pandemic conditional Ordinary Differential Equation (PAN-cODE), a deep learning method to forecast daily increases in pandemic infections and deaths. By using a deep conditional latent variable model, PAN-cODE can generate alternative caseload trajectories based on alternate adoptions of NPIs, allowing stakeholders to make policy decisions in an informed manner. PAN-cODE also allows caseload estimation for regions that are unseen during model training. We demonstrate that, despite using less detailed data and having fully automated training, PAN-cODE's performance is comparable to state-of-the-art methods on 4-week-ahead and 6-week-ahead forecasting. Finally, we highlight the ability of PAN-cODE to generate realistic alternative outcome trajectories on select US regions.
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Affiliation(s)
- Ruian Shi
- Department of Computer Science, University of Toronto, Toronto, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Haoran Zhang
- Department of Computer Science, University of Toronto, Toronto, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Quaid Morris
- Department of Computer Science, University of Toronto, Toronto, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
- Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
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14
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Salloum RG, Rojewski AM, Piper ME, Blalock JA, Borrelli B, Boyce LM, Minnix JA, Dogar O, Tomko RL, Jorenby DE, Kotsen C, Ostroff JS. Reporting Treatment Fidelity in Behavioral Tobacco Treatment Clinical Trials: Scoping Review and Measurement Recommendations. Nicotine Tob Res 2022; 24:150-159. [PMID: 34197617 PMCID: PMC9013002 DOI: 10.1093/ntr/ntab140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Adoption of rigorous standards for reporting treatment fidelity is essential for advancing discovery, validation, and implementation of behavioral treatments. Whereas the NIH Behavior Change Consortium (BCC) developed an assessment tool to assess the quality of reporting and monitoring of treatment fidelity across health behavior change interventions, it has not yet been applied specifically to treatment fidelity in behavioral tobacco treatment trials. AIMS AND METHODS We conducted a scoping review of peer-reviewed, clinical trials of behavioral adult tobacco treatment interventions published in English between 2006 and 2018. Using the BCC treatment fidelity checklist, articles were coded for the presence or absence of various treatment fidelity strategies within each of 5 domains: Design, Training, Delivery, Receipt, and Enactment. Eligible articles (N = 755) were coded by two independent coders. RESULTS The proportion of reporting strategies varied within the fidelity domains, ranging from 5.2% to 96.3% in Design, 1.9% to 24.9% in Training, 2.6% to 32.3% in Delivery, 5.2% to 44.3% in Receipt, and 6.7% to 43.2% in Enactment. The mean proportion of adherence to treatment fidelity strategies within each domain was: Design (68%), Training (14%), Delivery (15%), Receipt (16%), and Enactment (25%). Only 11 studies achieved ≥80% reporting across >1 fidelity domain. There was no evidence for improvement in fidelity reporting across the 13-year time frame from the initial BCC publication to the present. CONCLUSIONS These findings illustrate the lack of consistency in fidelity reporting in tobacco treatment trials and underscore the challenges faced in evaluating rigor and reproducibility, as well as interpretation and dissemination of findings. Recommendations are made for improving fidelity reporting in tobacco treatment trials. IMPLICATIONS The SRNT Treatment Research Network sponsored a scoping review to summarize the current state of reporting treatment fidelity and make recommendations for best practices in reporting fidelity in tobacco treatment trials. The review identified a lack of consistency in fidelity reporting, illustrating the challenges faced in evaluating rigor, and reproducibility, as well as interpretation and dissemination of findings.
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Affiliation(s)
- Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, University of Florida, College of Medicine, Gainesville, FL, USA
| | - Alana M Rojewski
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Megan E Piper
- Center for Tobacco Research and Intervention, University of Wisconsin-Madison, Madison, WI, USA
| | - Janice A Blalock
- Department of Behavioral Science, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Belinda Borrelli
- Center for Behavioral Science Research, Boston University, Henry M. Goldman School of Dental Medicine, Boston, MA, USA
| | - Lindsay M Boyce
- Department of Psychiatry and Behavioral Science, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jennifer A Minnix
- Department of Behavioral Science, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Omara Dogar
- Department of Health Sciences, University of York, York, United Kingdom
| | - Rachel L Tomko
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Douglas E Jorenby
- Center for Tobacco Research and Intervention, University of Wisconsin-Madison, Madison, WI, USA
| | - Chris Kotsen
- Department of Psychiatry and Behavioral Science, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jamie S Ostroff
- Department of Psychiatry and Behavioral Science, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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15
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Julián-Serrano S, Yuan F, Wheeler W, Benyamin B, Machiela MJ, Arslan AA, Beane-Freeman LE, Bracci PM, Duell EJ, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Marchand LL, Neale RE, Shu XO, Van Den Eeden SK, Visvanathan K, Zheng W, Albanes D, Andreotti G, Ardanaz E, Babic A, Berndt SI, Brais LK, Brennan P, Bueno-de-Mesquita B, Buring JE, Chanock SJ, Childs EJ, Chung CC, Fabiánová E, Foretová L, Fuchs CS, Gaziano JM, Gentiluomo M, Giovannucci EL, Goggins MG, Hackert T, Hartge P, Hassan MM, Holcátová I, Holly EA, Hung RI, Janout V, Kurtz RC, Lee IM, Malats N, McKean D, Milne RL, Newton CC, Oberg AL, Perdomo S, Peters U, Porta M, Rothman N, Schulze MB, Sesso HD, Silverman DT, Thompson IM, Wactawski-Wende J, Weiderpass E, Wenstzensen N, White E, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Zhong J, Kraft P, Li D, Campbell PT, Petersen GM, Wolpin BM, Risch HA, Amundadottir LT, Klein AP, Yu K, Stolzenberg-Solomon RZ. Hepcidin-regulating iron metabolism genes and pancreatic ductal adenocarcinoma: a pathway analysis of genome-wide association studies. Am J Clin Nutr 2021; 114:1408-1417. [PMID: 34258619 PMCID: PMC8488877 DOI: 10.1093/ajcn/nqab217] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/08/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Epidemiological studies have suggested positive associations for iron and red meat intake with risk of pancreatic ductal adenocarcinoma (PDAC). Inherited pathogenic variants in genes involved in the hepcidin-regulating iron metabolism pathway are known to cause iron overload and hemochromatosis. OBJECTIVES The objective of this study was to determine whether common genetic variation in the hepcidin-regulating iron metabolism pathway is associated with PDAC. METHODS We conducted a pathway analysis of the hepcidin-regulating genes using single nucleotide polymorphism (SNP) summary statistics generated from 4 genome-wide association studies in 2 large consortium studies using the summary data-based adaptive rank truncated product method. Our population consisted of 9253 PDAC cases and 12,525 controls of European descent. Our analysis included 11 hepcidin-regulating genes [bone morphogenetic protein 2 (BMP2), bone morphogenetic protein 6 (BMP6), ferritin heavy chain 1 (FTH1), ferritin light chain (FTL), hepcidin (HAMP), homeostatic iron regulator (HFE), hemojuvelin (HJV), nuclear factor erythroid 2-related factor 2 (NRF2), ferroportin 1 (SLC40A1), transferrin receptor 1 (TFR1), and transferrin receptor 2 (TFR2)] and their surrounding genomic regions (±20 kb) for a total of 412 SNPs. RESULTS The hepcidin-regulating gene pathway was significantly associated with PDAC (P = 0.002), with the HJV, TFR2, TFR1, BMP6, and HAMP genes contributing the most to the association. CONCLUSIONS Our results support that genetic susceptibility related to the hepcidin-regulating gene pathway is associated with PDAC risk and suggest a potential role of iron metabolism in pancreatic carcinogenesis. Further studies are needed to evaluate effect modification by intake of iron-rich foods on this association.
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Affiliation(s)
| | - Fangcheng Yuan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Beben Benyamin
- Australian Centre for Precision Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
| | - Laura E Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Eric J Duell
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steven Gallinger
- Lunenfeld–Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Loic Le Marchand
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Rachel E Neale
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt–Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt–Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Ana Babic
- Department of Medical Oncology, Dana–Farber Cancer Institute, Boston, MA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Lauren K Brais
- Department of Medical Oncology, Dana–Farber Cancer Institute, Boston, MA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Julie E Buring
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Erica J Childs
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Eleonora Fabiánová
- Specialized Institute of Hygiene and Epidemiology, Banska Bystrica, Slovakia
| | - Lenka Foretová
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Charles S Fuchs
- Yale Cancer Center and Smilow Cancer Hospital, New Haven, CT, USA
| | | | - Manuel Gentiluomo
- Department of Biology, University of Pisa, Italy
- Genomic Epidemiology Group, German Cancer Research Center, (DKFZ), Heidelberg, Germany
| | | | - Michael G Goggins
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thilo Hackert
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Manal M Hassan
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ivana Holcátová
- Institute of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rayjean I Hung
- Lunenfeld–Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Vladimir Janout
- Faculty of Health Sciences, University of Olomouc, Olomouc, Czech Republic
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - David McKean
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Sandra Perdomo
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Howard D Sesso
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital–Medical Center, San Antonio, TX, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Elisabete Weiderpass
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nicolas Wenstzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lynne R Wilkens
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Herbert Yu
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Jun Zhong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dounghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Brian M Wolpin
- Department of Medical Oncology, Dana–Farber Cancer Institute, Boston, MA, USA
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Alison P Klein
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Xu P, Chang JC, Zhou X, Wang W, Bamkole M, Wong E, Bettayeb K, Jiang LL, Huang T, Luo W, Xu H, Nairn AC, Flajolet M, Ip NY, Li YM, Greengard P. GSAP regulates lipid homeostasis and mitochondrial function associated with Alzheimer's disease. J Exp Med 2021; 218:e20202446. [PMID: 34156424 PMCID: PMC8222926 DOI: 10.1084/jem.20202446] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 04/22/2021] [Accepted: 05/26/2021] [Indexed: 11/04/2022] Open
Abstract
Biochemical, pathogenic, and human genetic data confirm that GSAP (γ-secretase activating protein), a selective γ-secretase modulatory protein, plays important roles in Alzheimer's disease (AD) and Down's syndrome. However, the molecular mechanism(s) underlying GSAP-dependent pathogenesis remains largely elusive. Here, through unbiased proteomics and single-nuclei RNAseq, we identified that GSAP regulates multiple biological pathways, including protein phosphorylation, trafficking, lipid metabolism, and mitochondrial function. We demonstrated that GSAP physically interacts with the Fe65-APP complex to regulate APP trafficking/partitioning. GSAP is enriched in the mitochondria-associated membrane (MAM) and regulates lipid homeostasis through the amyloidogenic processing of APP. GSAP deletion generates a lipid environment unfavorable for AD pathogenesis, leading to improved mitochondrial function and the rescue of cognitive deficits in an AD mouse model. Finally, we identified a novel GSAP single-nucleotide polymorphism that regulates its brain transcript level and is associated with an increased AD risk. Together, our findings indicate that GSAP impairs mitochondrial function through its MAM localization and that lowering GSAP expression reduces pathological effects associated with AD.
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Affiliation(s)
- Peng Xu
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
| | - Jerry C. Chang
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science and Technology Parks, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease, and Drug Development, Shenzhen–Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, Guangdong, China
| | - Wei Wang
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
| | - Michael Bamkole
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
| | - Eitan Wong
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Karima Bettayeb
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
| | - Lu-Lin Jiang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Timothy Huang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Wenjie Luo
- Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY
| | - Huaxi Xu
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
| | - Angus C. Nairn
- Department of Psychiatry, Yale School of Medicine, Connecticut Mental Health Center, New Haven, CT
| | - Marc Flajolet
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
| | - Nancy Y. Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science and Technology Parks, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease, and Drug Development, Shenzhen–Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, Guangdong, China
| | - Yue-Ming Li
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Program of Pharmacology and Neurosciences, Weill Graduate School of Medical Sciences of Cornell University, New York, NY
| | - Paul Greengard
- Laboratory of Molecular and Cellular Neuroscience, The Rockefeller University, New York, NY
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17
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Naing A, Thistlethwaite F, De Vries EGE, Eskens FALM, Uboha N, Ott PA, LoRusso P, Garcia-Corbacho J, Boni V, Bendell J, Autio KA, Randhawa M, Durm G, Gil-Martin M, Stroh M, Hannah AL, Arkenau HT, Spira A. CX-072 (pacmilimab), a Probody ® PD-L1 inhibitor, in advanced or recurrent solid tumors (PROCLAIM-CX-072): an open-label dose-finding and first-in-human study. J Immunother Cancer 2021; 9:e002447. [PMID: 34301809 PMCID: PMC8311335 DOI: 10.1136/jitc-2021-002447] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Probody® therapeutics are antibody prodrugs that are activated in the tumor microenvironment by tumor-associated proteases, thereby restricting the activity to the tumor microenvironment and minimizing 'off-tumor' toxicity. We report dose-escalation and single-agent expansion phase data from the first-in-human study of CX-072 (pacmilimab), a Probody checkpoint inhibitor directed against programmed death-ligand 1 (PD-L1). METHODS In the dose-escalation phase of this multicenter, open-label study (NCT03013491), adults with advanced solid tumors (naive to programmed-death-1/PD-L1 or cytotoxic T-lymphocyte-associated antigen 4 inhibitors) were enrolled into one of seven dose-escalation cohorts, with pacmilimab administered intravenously every 14 days. The primary endpoints were safety and determination of the maximum tolerated dose (MTD). In the expansion phase, patients with one of six prespecified malignancies (triple-negative breast cancer [TNBC]; anal squamous cell carcinoma [aSCC]; cutaneous SCC [cSCC]; undifferentiated pleomorphic sarcoma [UPS]; small bowel adenocarcinoma [SBA]; and thymic epithelial tumor [TET]); or high tumor mutational burden (hTMB) tumors were enrolled. The primary endpoint was objective response (Response Evaluation Criteria In Solid Tumors v.1.1). RESULTS An MTD was not reached with doses up to 30 mg/kg. A recommended phase 2 dose (RP2D) of 10 mg/kg was chosen based on pharmacokinetic and pharmacodynamic findings in the expansion phase. Ninety-eight patients enrolled in the expansion phase: TNBC (n=14), aSCC (n=14), cSCC (n=14), UPS (n=20), SBA (n=14), TET (n=8), and hTMB tumors (n=14). Of 114 patients receiving pacmilimab at the RP2D, grade ≥3 treatment-related adverse events (TRAEs) were reported in 10 patients (9%), serious TRAEs in six patients (5%), and treatment discontinuation due to TRAEs in two patients (2%). Grade ≥3 immune-related AEs occurred in two patients (rash, myocarditis). High PD-L1 expression (ie, >50% Tumor Proportion Score) was observed in 22/144 (19%) patients. Confirmed objective responses were observed in patients with cSCC (n=5, including one complete response), hTMB (n=4, including one complete response), aSCC (n=2), TNBC (n=1), UPS (n=1), and anaplastic thyroid cancer (n=1). CONCLUSIONS Pacmilimab can be administered safely at the RP2D of 10 mg/kg every 14 days. At this dose, pacmilimab had a low rate of immune-mediated toxicity and showed signs of antitumor activity in patients not selected for high PD-L1 expression. TRIAL REGISTRATION NUMBER NCT03013491.
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Affiliation(s)
- Aung Naing
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Fiona Thistlethwaite
- Department of Medical Oncology, The Christie Hospital NHS Foundation Trust and University of Manchester, Manchester, UK
| | - Elisabeth G E De Vries
- Department of Medical Oncology, Universitair Medisch Centrum Groningen, Groningen, The Netherlands
| | - Ferry A L M Eskens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Nataliya Uboha
- Department of Medicine, Section of Hematology and Oncology, University of Wisconsin, Carbone Cancer Center, Madison, Wisconsin, USA
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Patricia LoRusso
- Department of Medical Oncology, Yale University School of Medicine, Yale Cancer Center, New Haven, Connecticut, USA
| | | | - Valentina Boni
- Department of Medical Oncology, START Madrid-CIOCC, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | - Johanna Bendell
- Sarah Cannon Research Institute/Tennessee Oncology, Nashville, Tennessee, USA
| | - Karen A Autio
- Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Manreet Randhawa
- Department of Medical Oncology, Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - Greg Durm
- Department of Medical Oncology, Indiana University, Melvin and Bren Simon Cancer Center, Indianapolis, Indiana, USA
| | - Marta Gil-Martin
- Medical Oncology Department, Institut Català d'Oncologia - IDIBELL, L'Hospitalet-Barcelona, Barcelona, Spain
| | - Mark Stroh
- CytomX Therapeutics Inc, South San Francisco, California, USA
| | - Alison L Hannah
- CytomX Therapeutics Inc, South San Francisco, California, USA
| | - Hendrik-Tobias Arkenau
- Drug Development Unit, Sarah Cannon Research Institute and University College London Cancer Institute, London, UK
| | - Alexander Spira
- Department of Medical Oncology, Virginia Cancer Specialists, Fairfax, Virginia, USA
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18
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Pitt SC, Yang N, Saucke MC, Marka N, Hanlon B, Long KL, McDow AD, Brito JP, Roman BR. Adoption of Active Surveillance for Very Low-Risk Differentiated Thyroid Cancer in the United States: A National Survey. J Clin Endocrinol Metab 2021; 106:e1728-e1737. [PMID: 33373458 PMCID: PMC7993571 DOI: 10.1210/clinem/dgaa942] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT Active surveillance (AS) of thyroid cancer with serial ultrasounds is a newer management option in the United States. OBJECTIVE This work aimed to understand factors associated with the adoption of AS. METHODS We surveyed endocrinologists and surgeons in the American Medical Association Masterfile. To estimate adoption, respondents recommended treatment for 2 hypothetical cases appropriate for AS. Established models of guideline implementation guided questionnaire development. Outcome measures included adoption of AS (nonadopters vs adopters, who respectively did not recommend or recommended AS at least once; and partial vs full adopters, who respectively recommended AS for one or both cases). RESULTS The 464 respondents (33.3% response) demographically represented specialties that treat thyroid cancer. Nonadopters (45.7%) were significantly (P < .001) less likely than adopters to practice in academic settings, see more than 25 thyroid cancer patients/year, be aware of AS, use applicable guidelines (P = .04), know how to determine whether a patient is appropriate for AS, have resources to perform AS, or be motivated to use AS. Nonadopters were also significantly more likely to be anxious or have reservations about AS, be concerned about poor outcomes, or believe AS places a psychological burden on patients. Among adopters, partial and full adopters were similar except partial adopters were less likely to discuss AS with patients (P = .03) and more likely to be anxious (P = .04), have reservations (P = .03), and have concerns about the psychological burden (P = .009) of AS. Few respondents (3.2%) believed patients were aware of AS. CONCLUSION Widespread adoption of AS will require increased patient and physician awareness, interest, and evaluation of outcomes.
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Affiliation(s)
- Susan C Pitt
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Correspondence: Susan C. Pitt, MD, MPHS, Department of Surgery, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, CSC H4/721, Madison, WI 53792, USA.
| | - Nan Yang
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Megan C Saucke
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Nicholas Marka
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Bret Hanlon
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kristin L Long
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Alexandria D McDow
- Division of Surgery Oncology, Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - J P Brito
- Division of Diabetes, Endocrinology, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Benjamin R Roman
- Division of Head and Neck, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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19
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Lee AW, Rosenzweig S, Wiensch A, Ramus SJ, Menon U, Gentry-Maharaj A, Ziogas A, Anton-Culver H, Whittemore AS, Sieh W, Rothstein JH, McGuire V, Wentzensen N, Bandera EV, Qin B, Terry KL, Cramer DW, Titus L, Schildkraut JM, Berchuck A, Goode EL, Kjaer SK, Jensen A, Jordan SJ, Ness RB, Modugno F, Moysich K, Thompson PJ, Goodman MT, Carney ME, Chang-Claude J, Rossing MA, Harris HR, Doherty JA, Risch HA, Khoja L, Alimujiang A, Phung MT, Brieger K, Mukherjee B, Pharoah PDP, Wu AH, Pike MC, Webb PM, Pearce CL. Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies. J Natl Cancer Inst 2021; 113:301-308. [PMID: 32766851 PMCID: PMC7936053 DOI: 10.1093/jnci/djaa099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 06/08/2020] [Accepted: 06/29/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Parity is associated with decreased risk of invasive ovarian cancer; however, the relationship between incomplete pregnancies and invasive ovarian cancer risk is unclear. This relationship was examined using 15 case-control studies from the Ovarian Cancer Association Consortium (OCAC). Histotype-specific associations, which have not been examined previously with large sample sizes, were also evaluated. METHODS A pooled analysis of 10 470 invasive epithelial ovarian cancer cases and 16 942 controls was conducted. Odds ratios (ORs) and 95% confidence intervals (CIs) for the association between incomplete pregnancies and invasive epithelial ovarian cancer were estimated using logistic regression. All models were conditioned on OCAC study, race and ethnicity, age, and education level and adjusted for number of complete pregnancies, oral contraceptive use, and history of breastfeeding. The same approach was used for histotype-specific analyses. RESULTS Ever having an incomplete pregnancy was associated with a 16% reduction in ovarian cancer risk (OR = 0.84, 95% CI = 0.79 to 0.89). There was a trend of decreasing risk with increasing number of incomplete pregnancies (2-sided Ptrend < .001). An inverse association was observed for all major histotypes; it was strongest for clear cell ovarian cancer. CONCLUSIONS Incomplete pregnancies are associated with a reduced risk of invasive epithelial ovarian cancer. Pregnancy, including incomplete pregnancy, was associated with a greater reduction in risk of clear cell ovarian cancer, but the result was broadly consistent across histotypes. Future work should focus on understanding the mechanisms underlying this reduced risk.
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Affiliation(s)
- Alice W Lee
- Department of Public Health, California State University, Fullerton, Fullerton, CA, USA
| | - Stacey Rosenzweig
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Ashley Wiensch
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Susan J Ramus
- School of Women’s and Children’s Health, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Alice S Whittemore
- Department of Epidemiology and Public Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Weiva Sieh
- Departments of Genetics and Genomic Sciences and of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph H Rothstein
- Departments of Genetics and Genomic Sciences and of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Valerie McGuire
- Department of Epidemiology and Public Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Bo Qin
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Kathryn L Terry
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel W Cramer
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Linda Titus
- Public Health, Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Ellen L Goode
- Division of Epidemiology, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Susanne K Kjaer
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Susan J Jordan
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Roberta B Ness
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Francesmary Modugno
- Womens Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kirsten Moysich
- Division of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Pamela J Thompson
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marc T Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michael E Carney
- Department of Obstetrics and Gynecology, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jennifer Anne Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Harvey A Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Lilah Khoja
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Aliya Alimujiang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Minh Tung Phung
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Katharine Brieger
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Paul D P Pharoah
- Department of Oncology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Malcolm C Pike
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Penelope M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
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20
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Hayashi T, Odintsov I, Smith RS, Ishizawa K, Liu AJW, Delasos L, Kurzatkowski C, Tai H, Gladstone E, Vojnic M, Kohsaka S, Suzawa K, Liu Z, Kunte S, Mattar MS, Khodos I, Davare MA, Drilon A, Cheng E, Stanchina ED, Ladanyi M, Somwar R. RET inhibition in novel patient-derived models of RET-fusion positive lung adenocarcinoma reveals a role for MYC upregulation. Dis Model Mech 2020; 14:dmm.047779. [PMID: 33318047 PMCID: PMC7888717 DOI: 10.1242/dmm.047779] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 12/08/2020] [Indexed: 11/25/2022] Open
Abstract
Multi-kinase RET inhibitors, such as cabozantinib and RXDX-105, are active in lung cancer patients with RET fusions; however, the overall response rates to these two drugs are unsatisfactory compared to other targeted therapy paradigms. Moreover, these inhibitors may have different efficacies against RET rearrangements depending on the upstream fusion partner. A comprehensive preclinical analysis of the efficacy of RET inhibitors is lacking due to a paucity of disease models harboring RET rearrangements. Here we generated two new patient-derived xenograft (PDX) models, one new patient-derived cell line, one PDX-derived cell line, and several isogenic cell lines with RET fusions. Using these models, we re-examined the efficacy and mechanism of action of cabozantinib and found that this RET inhibitor was effective at blocking growth of cell lines, activating caspase 3/7 and inhibiting activation of ERK and AKT. Cabozantinib treatment of mice bearing RET-fusion-positive cell line xenografts and two PDXs significantly reduced tumor proliferation without adverse toxicity. Moreover, cabozantinib was effective at reducing growth of a lung cancer PDX that was not responsive to RXDX-105. Transcriptomic analysis of lung tumors and cell lines with RET alterations showed activation of a MYC signature and this was suppressed by treatment of cell lines with cabozantinib. MYC protein levels were rapidly depleted following cabozantinib treatment. Taken together, our results demonstrate that cabozantinib is an effective agent in preclinical models harboring RET rearrangements with three different 5' fusion partners (CCDC6, KIF5B and TRIM33). Notably, we identify MYC as a protein that is upregulated by RET expression and down-regulated by cabozantinib treatment, opening up potentially new therapeutic avenues for combinatorial targeting RET-fusion driven lung cancers. The novel RET fusion-dependent preclinical models described herein represent valuable tools for further refinement of current therapies and the evaluation of novel therapeutic strategies.
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Affiliation(s)
- Takuo Hayashi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Current address: Department of Human Pathology, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan
| | - Igor Odintsov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Roger S Smith
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Current address: Medical Scientist Training Program, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kota Ishizawa
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allan J W Liu
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China
| | - Lukas Delasos
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Huichun Tai
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eric Gladstone
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Morana Vojnic
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shinji Kohsaka
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ken Suzawa
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zebing Liu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Siddharth Kunte
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marissa S Mattar
- Anti-tumor Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Inna Khodos
- Anti-tumor Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Monika A Davare
- Department of Pediatrics, Oregon Health Sciences University, USA
| | - Alexander Drilon
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Emily Cheng
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Anti-tumor Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Romel Somwar
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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21
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Abstract
The novel 2019 strain of coronavirus is a source of profound morbidity and mortality worldwide. Compared with recent viral outbreaks, COVID-19 infection has a relatively high mortality rate, the reasons for which are not entirely clear. Furthermore, treatment options for COVID-19 infection are currently limited. In this Perspective, we explore the contributions of the innate and adaptive immune systems to both viral control as well as toxicity during COVID-19 infections and offer suggestions to both understand and therapeutically modulate anti-COVID immunity.
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Affiliation(s)
- Santosha A. Vardhana
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY
- Parker Institute for Cancer Immunotherapy, San Francisco, CA
| | - Jedd D. Wolchok
- Parker Institute for Cancer Immunotherapy, San Francisco, CA
- Human Oncology Pathogenesis Program, Department of Medicine and Ludwig Center, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medicine and Graduate School of Biomedical Sciences, New York, NY
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22
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Abstract
Transmembrane protein 175 (TMEM175) is a K+-selective ion channel expressed in lysosomal membranes, where it establishes a membrane potential essential for lysosomal function and its dysregulation is associated with the development of Parkinson's Disease. TMEM175 is evolutionarily distinct from all known channels, predicting novel ion-selectivity and gating mechanisms. Here we present cryo-EM structures of human TMEM175 in open and closed conformations, enabled by resolutions up to 2.6 Å. Human TMEM175 adopts a homodimeric architecture with a central ion-conduction pore lined by the side chains of the pore-lining helices. Conserved isoleucine residues in the center of the pore serve as the gate in the closed conformation. In the widened channel in the open conformation, these same residues establish a constriction essential for K+ selectivity. These studies reveal the mechanisms of permeation, selectivity and gating and lay the groundwork for understanding the role of TMEM175 in lysosomal function.
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Affiliation(s)
- SeCheol Oh
- Structural Biology Program, Memorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Navid Paknejad
- Structural Biology Program, Memorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Richard K Hite
- Structural Biology Program, Memorial Sloan Kettering Cancer CenterNew YorkUnited States
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23
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Singh K, Lin J, Zhong Y, Burčul A, Mohan P, Jiang M, Sun L, Yong-Gonzalez V, Viale A, Cross JR, Hendrickson RC, Rätsch G, Ouyang Z, Wendel HG. c-MYC regulates mRNA translation efficiency and start-site selection in lymphoma. J Exp Med 2019; 216:1509-1524. [PMID: 31142587 PMCID: PMC6605752 DOI: 10.1084/jem.20181726] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 02/22/2019] [Accepted: 04/19/2019] [Indexed: 12/24/2022] Open
Abstract
The oncogenic c-MYC (MYC) transcription factor has broad effects on gene expression and cell behavior. We show that MYC alters the efficiency and quality of mRNA translation into functional proteins. Specifically, MYC drives the translation of most protein components of the electron transport chain in lymphoma cells, and many of these effects are independent from proliferation. Specific interactions of MYC-sensitive RNA-binding proteins (e.g., SRSF1/RBM42) with 5'UTR sequence motifs mediate many of these changes. Moreover, we observe a striking shift in translation initiation site usage. For example, in low-MYC conditions, lymphoma cells initiate translation of the CD19 mRNA from a site in exon 5. This results in the truncation of all extracellular CD19 domains and facilitates escape from CD19-directed CAR-T cell therapy. Together, our findings reveal MYC effects on the translation of key metabolic enzymes and immune receptors in lymphoma cells.
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Affiliation(s)
- Kamini Singh
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jianan Lin
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT
| | - Yi Zhong
- Computational Biology Department, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Antonija Burčul
- Computational Biology Department, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Prathibha Mohan
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Man Jiang
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Liping Sun
- Integrated Genomics Operation, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Vladimir Yong-Gonzalez
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Agnes Viale
- Integrated Genomics Operation, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Justin R Cross
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ronald C Hendrickson
- Proteomics and Microchemistry, Memorial Sloan- Kettering Cancer Center, New York, NY
| | - Gunnar Rätsch
- Computational Biology Department, Memorial Sloan Kettering Cancer Center, New York, NY
- Biomedical Informatics, Department of Computer Science, Swiss Federal Institute of Technology, Zürich, Switzerland
| | - Zhengqing Ouyang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
- Department of Genetics and Genome Sciences and Institute for System Genomics, University of Connecticut Health Center, Farmington, CT
| | - Hans-Guido Wendel
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY
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24
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Peterson G, Zanoni DK, Ardigo M, Migliacci JC, Patel SG, Rajadhyaksha M. Feasibility of a Video-Mosaicking Approach to Extend the Field-of-View For Reflectance Confocal Microscopy in the Oral Cavity In Vivo. Lasers Surg Med 2019; 51:439-451. [PMID: 31067360 PMCID: PMC6842028 DOI: 10.1002/lsm.23090] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND Reflectance confocal microscopy (RCM) is a developing approach for noninvasive detection of oral lesions with label-free contrast and cellular-level resolution. For access into the oral cavity, confocal microscopes are being configured with small-diameter telescopic probes and small objective lenses. However, a small probe and objective lens allows for a rather small field-of-view relative to the large areas of tissue that must be examined for diagnosis. To extend the field-of-view for intraoral RCM imaging, we are investigating a video-mosaicking approach. METHODS A relay telescope and objective lens were adapted to an existing confocal microscope for access into the oral cavity. Imaging was performed using metal three-dimensional-printed objective lens front-end caps with coverslip windows to contact and stabilize the tissue and set depth. Four healthy volunteers (normal oral mucosa), one patient (with an amalgam tattoo) in a clinical setting, and 20 anesthetized patients (with oral squamous cell carcinoma [OSCC]) in a surgical setting were imaged. Instead of the usual still RCM images, videos were recorded and then processed into video-mosaics. Thirty video-mosaics were read and qualitatively assessed by an expert reader of RCM images of the oral mucosa. RESULTS Whereas the objective lens' native field-of-view is 0.75 mm × 0.75 mm, the video-mosaics display larger areas, ranging from 2 mm × 2 mm to 4 mm × 2 mm, with resolution, morphologic detail, and image quality that is preserved relative to that observed in the original videos (individual images). Video-mosaics in healthy volunteers' and the patients' images showed cellular morphologic patterns in the lower epithelium and at the epithelial junction, and connective tissue along with capillary loops and blood flow in the deeper lamina propria. In OSCC, tumor nests could be observed along with normal looking mucosa in margin areas. CONCLUSIONS Video-mosaicking is a reasonably quick and efficient approach for extending the field-of-view of RCM imaging, which can, to some extent, overcome the inherent limitation of an intraoral probe's small field-of-view. Reading video-mosaics can mimic the procedure for examining pathology: initial visualization of the spatial cellular and morphologic patterns of the tumor and the spread of tumor margins over larger areas of the lesion, followed by digitally zooming (magnifying) for closer inspection of suspicious areas. However, faster processing of videos into video-mosaics will be necessary, to allow examination of video-mosaics in real-time at the bedside. Lasers Surg. Med. 51:439-451, 2019. © 2019 Wiley Periodicals, Inc.
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Affiliation(s)
- Gary Peterson
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, 10022, USA
| | - Daniella Karassawa Zanoni
- Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA
| | - Marco Ardigo
- Department of Clinical Dermatology, San Gallicano Dermatological Institute, 00144, Rome, Italy
| | - Jocelyn C Migliacci
- Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA
| | - Snehal G Patel
- Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA
| | - Milind Rajadhyaksha
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, 10022, USA
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