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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Surana R, Gonzalez GN, Rogers J, Hong DS, Yap TA, Rodon J, Naing A, Wolff RA, Smaglo BG, Bernstam FM, Subbiah V, Pant S. Utility of Established Prognostic Scoring Systems for Patients with Advanced Pancreatic Adenocarcinoma Enrolled in Immunotherapy-Based Early-Phase Clinical Trials. J Gastrointest Cancer 2023; 54:1308-1315. [PMID: 37119430 DOI: 10.1007/s12029-023-00930-7] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy for which multiagent chemotherapy is the mainstay of treatment resulting in limited survival and symptomatic benefit. Treatment with immune checkpoint inhibitors (ICI) has proven effective in a growing number of solid tumors but has yet to show clinical benefit in patients with PDAC. Given the growing number of ICI-based clinical trials in development for patients with PDAC and lack of clinical benefit thus far with ICI-based therapies in these patients, we sought to (1) determine the outcomes of patients with PDAC treated with ICI-based therapies as part of an early phase clinical trial, (2) validate the utility of established prognostic scoring systems, and (3) identify novel prognostic factors in an attempt to better identify patients that would benefit from enrollment onto an ICI-based early phase clinical trial. METHODS We conducted a single-center retrospective analysis of patients with advanced PDAC who were treated with ICI-based therapy as part of an early-phase clinical trial. RESULTS Patients were only able to stay on study for a limited time due to disease progression and/or a change in performance status and had a poor overall survival. Established prognostic scoring systems were not effective in predicting outcomes in this patient population, but factors such as pre-treatment albumin neutrophil to lymphocyte ratio (NLC) may be helpful in patient selection. CONCLUSIONS This study underscores the need for larger studies to help identify patient and tumor intrinsic factors that predict response to ICI-based therapies in patients with PDAC.
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Affiliation(s)
- Rishi Surana
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Jane Rogers
- Pharmacy Clinical Programs, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David S Hong
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Timothy A Yap
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jordi Rodon
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aung Naing
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert A Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brandon G Smaglo
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Funda Meric Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vivek Subbiah
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shubham Pant
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Elkington M, Kurinczuk JJ, Pasupathy D, Plachcinski R, Rogers J, Williams C, Rowe R. Postpartum haemorrhage occurring in UK midwifery units: A national population-based case-control study to investigate incidence, risk factors and outcomes. PLoS One 2023; 18:e0291795. [PMID: 37796876 PMCID: PMC10553245 DOI: 10.1371/journal.pone.0291795] [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: 07/18/2022] [Accepted: 09/02/2023] [Indexed: 10/07/2023] Open
Abstract
OBJECTIVES To estimate the incidence of, and investigate risk factors for, postpartum haemorrhage (PPH) requiring transfer to obstetric care following birth in midwifery units (MU) in the UK; to describe outcomes for women who experience PPH requiring transfer to obstetric care. METHODS We conducted a national population-based case-control study in all MUs in the UK using the UK Midwifery Study System (UKMidSS). Between September 2019 and February 2020, 1501 women with PPH requiring transfer to obstetric care following birth in an MU, and 1475 control women were identified. We used multivariable logistic regression, generating adjusted odds ratios (aORs) and 95% confidence intervals (CIs) to investigate risk factors for PPH requiring transfer to obstetric care. RESULTS The incidence of PPH requiring transfer to obstetric care following birth in an MU was 3.7% (95% CI 3.6%-3.9%). Factors independently associated with PPH requiring transfer to obstetric care were smoking during pregnancy (aOR = 0.73; 95% CI 0.56-0.94), nulliparity (aOR = 1.96; 95% CI 1.66-2.30), previous PPH (aOR = 2.67; 95% CI 1.67-4.25), complications in a previous pregnancy other than PPH (aOR = 2.40; 95% CI 1.25-4.60), gestational age ≥41 weeks (aOR = 1.36; 95% CI 1.10-1.69), instrumental birth (aOR = 2.69; 95% CI 1.53-4.72), third stage of labour ≥60 minutes (aOR = 5.56; 95% CI 3.93-7.88), perineal trauma (aOR = 4.67; 95% CI 3.16-6.90), and birthweight 3500-3999g (aOR = 1.71; 95% CI 1.42-2.07) or ≥4000g (aOR = 2.31; 95% CI 1.78-3.00). One in ten (10.6%) cases received a blood transfusion and one in five (21.0%) were admitted to higher level care. CONCLUSIONS The risk factors identified in this study align with those identified in previous research and with current guidelines for women planning birth in an MU in the UK. Maternal outcomes after PPH were broadly reassuring and indicative of appropriate management. NHS organisations should ensure that robust guidelines are in place to support management of PPH in MUs.
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Affiliation(s)
- Madeline Elkington
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jennifer J. Kurinczuk
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Dharmintra Pasupathy
- Reproduction and Perinatal Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Rachel Plachcinski
- Independent Parent, Patient and Public Involvement Consultant, Dewsbury, United Kingdom
| | - Jane Rogers
- Consultant Midwife, Formerly at University Hospitals Southampton, Southampton, United Kingdom
| | - Catherine Williams
- Independent Parent, Patient and Public Involvement Consultant, Henley on Thames, United Kingdom
| | - Rachel Rowe
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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Trail A, Rogers J, Ajani J. Can You Establish the Cause of This Patient's Shortness of Breath? J Adv Pract Oncol 2023; 14:440-443. [PMID: 37576362 PMCID: PMC10414527 DOI: 10.6004/jadpro.2023.14.5.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023] Open
Abstract
Mr. B is a 56-year-old man diagnosed with metastatic HER2-positive gastroesophageal adenocarcinoma. He received front-line leucovorin, 5-fluorouracil, and oxaliplatin (FOLFOX) and trastuzumab for 10 months before restaging imaging revealed progressive disease. He then received second-line trastuzumab deruxtecan. His treatment was complicated by several admissions felt to be unrelated to his cancer therapy. He was discharged after an episode of pneumonia on a steroid taper with prophylactic trimethoprim/sulfamethoxazole. Once he recovered, he was given a fourth dose of chemotherapy. About a week later, wheezes were noticed on physical exam, and he was given a 5-day course of levofloxacin. Around the same time, he also finished his steroid taper. Twelve days after his dose of chemotherapy, he presented to the emergency room with 3 to 4 days of progressive shortness of breath and dry cough following the completion of levofloxacin without symptom improvement. A CT scan showed increasing airspace opacities and multifocal areas of consolidation. Blood, nasal, and sputum cultures were negative. A bronchoscopy was performed that did not reveal findings concerning for capillaritis. He was ultimately diagnosed with drug-induced pneumonitis/interstitial lung disease (ILD). Mr. B continued to experience worsening hypoxic respiratory failure despite continuous IV steroids. He was discharged to an inpatient hospice facility where he passed away 2 weeks later. Drug-induced pneumonitis/ILD should be considered in all patients receiving trastuzumab deruxtecan who develop progressive shortness of breath or other respiratory complaints.
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Affiliation(s)
- Allison Trail
- From The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jane Rogers
- From The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jaffer Ajani
- From The University of Texas MD Anderson Cancer Center, Houston, Texas
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Roseberry K, Le-Niculescu H, Levey DF, Bhagar R, Soe K, Rogers J, Palkowitz S, Pina N, Anastasiadis WA, Gill SS, Kurian SM, Shekhar A, Niculescu AB. Towards precision medicine for anxiety disorders: objective assessment, risk prediction, pharmacogenomics, and repurposed drugs. Mol Psychiatry 2023; 28:2894-2912. [PMID: 36878964 PMCID: PMC10615756 DOI: 10.1038/s41380-023-01998-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/29/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023]
Abstract
Anxiety disorders are increasingly prevalent, affect people's ability to do things, and decrease quality of life. Due to lack of objective tests, they are underdiagnosed and sub-optimally treated, resulting in adverse life events and/or addictions. We endeavored to discover blood biomarkers for anxiety, using a four-step approach. First, we used a longitudinal within-subject design in individuals with psychiatric disorders to discover blood gene expression changes between self-reported low anxiety and high anxiety states. Second, we prioritized the list of candidate biomarkers with a Convergent Functional Genomics approach using other evidence in the field. Third, we validated our top biomarkers from discovery and prioritization in an independent cohort of psychiatric subjects with clinically severe anxiety. Fourth, we tested these candidate biomarkers for clinical utility, i.e. ability to predict anxiety severity state, and future clinical worsening (hospitalizations with anxiety as a contributory cause), in another independent cohort of psychiatric subjects. We showed increased accuracy of individual biomarkers with a personalized approach, by gender and diagnosis, particularly in women. The biomarkers with the best overall evidence were GAD1, NTRK3, ADRA2A, FZD10, GRK4, and SLC6A4. Finally, we identified which of our biomarkers are targets of existing drugs (such as a valproate, omega-3 fatty acids, fluoxetine, lithium, sertraline, benzodiazepines, and ketamine), and thus can be used to match patients to medications and measure response to treatment. We also used our biomarker gene expression signature to identify drugs that could be repurposed for treating anxiety, such as estradiol, pirenperone, loperamide, and disopyramide. Given the detrimental impact of untreated anxiety, the current lack of objective measures to guide treatment, and the addiction potential of existing benzodiazepines-based anxiety medications, there is a urgent need for more precise and personalized approaches like the one we developed.
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Affiliation(s)
- K Roseberry
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - H Le-Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - D F Levey
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Yale School of Medicine, New Haven, CT, USA
| | - R Bhagar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - K Soe
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - J Rogers
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S Palkowitz
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - N Pina
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - W A Anastasiadis
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - S S Gill
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S M Kurian
- Scripps Health and Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - A Shekhar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Office of the Dean, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A B Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
- Indianapolis VA Medical Center, Indianapolis, IN, USA.
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Jones M, Rogers J, Kumar Shrimali R, Hamilton J, Athmanathan S, Jones B. Feasibility and safety of shortened hypofractionated high-dose palliative lung radiotherapy – A retrospective planning study. Phys Med 2023; 108:102559. [PMID: 37004334 DOI: 10.1016/j.ejmp.2023.102559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 02/02/2023] [Accepted: 02/26/2023] [Indexed: 04/03/2023] Open
Abstract
OBJECTIVE Assess the safety and feasibility of shortened hypofractionated high-dose palliative lung radiotherapy in a retrospective planning study. METHODS Fifteen late stage (III or IV) NSCLC lung radiotherapy patients previously treated with the standard palliative 36 Gy in 12 fractions (12F) schedule were non-randomly selected to achieve a representative distribution of tumour sizes, volumes, and location. Plans were produced using 30 Gy in 5 fractions (5F) and 6 fractions (6F) using a 6MV FFF co-planar VMAT technique. Plans were optimised to meet dose-constraints for planning target volumes (PTVs) and organs at risk (OARs) with established OAR constraints expressed as biological equivalent doses (BEDs). The potential safety was assessed using these BEDs and also with reductions of 10% (BED-10%) and 20% (BED-20%) to account for a reduction in tolerance doses from the effects of chemotherapy or surgery. RESULTS Mandatory BED constraints were met for all fifteen 5F and 6F plans; BED-10% constraints were met by all 6F plans and six 5F plans. BED-20% constraints were met by six 6F and three 5F respectively. CONCLUSION It is potentially safe and feasible to deliver high-dose palliative radiotherapy for late stage NSCLC using the 5F or 6F regimes described, when planned to comparable OAR BEDs as standard radical techniques. It appears toxicity from these regimes should be within acceptable limits provided the dose-constraints described are met. A Phase II study is required to fully assess safety and feasibility, the outcomes of which could reduce the number of patient hospital visits for radiotherapy, thereby benefiting patients and optimising resource utilisation.
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Lamba H, Kherallah R, Kassi M, Delgado R, Mattar A, Nair A, Chatterjee S, Shafii A, Loor G, Rogers J, Civitello A, Liao K. Greater Burden of Biventricular Dysfunction in Female Recipients of Continuous-Flow Left Ventricular Devices. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Serpas Higbie V, Rogers J, Hwang H, Qiao W, Xiao L, Dasari A, Mola-Rudd K, Morris VK, Wolff RA, Raghav K, Huey R, Parseghian C, Willis J, Kopetz S, Overman MJ, Johnson B. Antibiotic Exposure Does Not Impact Immune Checkpoint Blockade Response in MSI-H/dMMR Metastatic Colorectal Cancer: A Single-Center Experience. Oncologist 2022; 27:952-957. [PMID: 35946836 PMCID: PMC9632313 DOI: 10.1093/oncolo/oyac162] [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: 04/14/2022] [Accepted: 06/28/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) has improved outcomes for patients with microsatellite instability high (MSI-H)/deficient mismatch repair (dMMR) tumors. However, not all MSI-H/dMMR patients will exhibit the same ICB efficacy. Previous studies suggest that concomitant antibiotic use while receiving ICB may result in poorer outcomes. We aimed to evaluate this association in patients with MSI-H/dMMR metastatic colorectal cancer (mCRC). MATERIALS AND METHODS A single-site, retrospective review of 57 patients with MSI-H/dMMR mCRC that received ICB was completed. Data collected included patient demographics, ICB information, and antibiotic use. Antibiotic exposure was considered from 90 days prior to ICB through 6 weeks after initiation. Primary endpoint was overall response rate (ORR). RESULTS The majority of patients received pembrolizumab (27 [47%]) or nivolumab (17 [30%]) monotherapy as their ICB agent. Of the 57 patients, 19 (33.3%) had antibiotic exposure from 90 days prior to ICB initiation through 6 weeks after initiation with most (13 [68%]) having antibiotic use in the 30 days preceding ICB initiation. Similar ORRs were seen in both groups (P-value > .99). No difference was observed in OS (P-value .29) or PFS (P-value .36) between groups. CONCLUSION Our data show no association of lower response rates or survival in those MSI-H/dMMR patients with mCRC who receive antibiotics around the initiation of ICB. This information needs to be confirmed in a larger prospective cohort.
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Affiliation(s)
- Victoria Serpas Higbie
- Hematology/Oncology Fellowship, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jane Rogers
- Pharmacy Clinical Services, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hyunsoo Hwang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Qiao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lianchun Xiao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Arvind Dasari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kerri Mola-Rudd
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Van K Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert A Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan Huey
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christine Parseghian
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason Willis
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael J Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Benny Johnson
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Morelli A, Rogers J, Sanders J, Kurinczuk JJ, Rowe R. Outcomes for women admitted for labour care to alongside midwifery units in the UK following a postpartum haemorrhage in a previous pregnancy: A national population-based cohort and nested case-control study using the UK Midwifery Study System (UKMidSS). Women Birth 2022; 36:e361-e368. [PMID: 36376224 DOI: 10.1016/j.wombi.2022.11.002] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/26/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Women who have experienced a postpartum haemorrhage (PPH) 'requiring treatment or transfusion' are typically advised to plan birth in obstetric-led settings in subsequent pregnancies. Many UK alongside midwifery units (AMU) admit women for labour care following a previous PPH. We aimed to describe outcomes in women admitted for labour care to AMUs following a previous PPH, compare outcomes with other multiparous women admitted to the same AMUs, and explore risk factors for recurrence. METHODS A national cohort and nested case-control study using the UK Midwifery Study System (UKMidSS), between August 2018 and April 2019. Multivariable Poisson regression and logistic regression were performed to compare outcomes and investigate risk factors for recurrence. FINDINGS Women who experienced a previous PPH were significantly more likely than comparison women to: have a PPH requiring transfer to obstetric care (4·2% vs. 2·4%, aRR=1·65, 95% CI 1·14-2·38), be transferred to obstetric care for any reason (17·8% vs 11·9%; aRR=1·41; 95% CI 1·09-1·83), and have any PPH≥ 500 ml (22·7% vs 11·1%, aRR=1·86, 95% CI 1·49-2·32). Among women with a previous PPH, previous blood loss > 1500 ml; uterotonics for previous PPH; Caesarean associated with previous PPH; gestation at admission and higher birthweight were independent risk factors for PPH. CONCLUSION Women considering birth in an AMU after a previous PPH should be advised that they are at increased risk of experiencing a subsequent PPH requiring transfer to obstetric care, compared with other multiparous women who have not had a PPH. The absolute risk of a subsequent PPH in this group is low and comparable to the overall risk of having a PPH among women having a spontaneous vaginal birth in England.
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Affiliation(s)
- Alessandra Morelli
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, United Kingdom.
| | - Jane Rogers
- University Hospitals Southampton, Coxford Road, Southampton SO16 5YA, United Kingdom
| | - Julia Sanders
- School of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University Room 1.7, Ty Dewi Sant, Heath Park, Cardiff CF14 4XN, United Kingdom
| | - Jennifer J Kurinczuk
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, United Kingdom
| | - Rachel Rowe
- NIHR Policy Research Unit in Maternal and Neonatal Health and Care, National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, United Kingdom. https://twitter.com/@RachelRowe3
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11
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Walker Z, Bartley G, Hague C, Kelly D, Navarro C, Rogers J, South C, Temple S, Whitehurst P, Chuter R. Evaluating the Effectiveness of Deep Learning Contouring across Multiple Radiotherapy Centres. Phys Imaging Radiat Oncol 2022; 24:121-128. [PMID: 36405563 PMCID: PMC9668733 DOI: 10.1016/j.phro.2022.11.003] [Citation(s) in RCA: 8] [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] [Received: 01/25/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022] Open
Abstract
Background and purpose Deep learning contouring (DLC) has the potential to decrease contouring time and variability of organ contours. This work evaluates the effectiveness of DLC for prostate and head and neck across four radiotherapy centres using a commercial system. Materials and methods Computed tomography scans of 123 prostate and 310 head and neck patients were evaluated. Besides one head and neck model, generic DLC models were used. Contouring time using centres' existing clinical methods and contour editing time after DLC were compared. Timing was evaluated using paired and non-paired studies. Commercial software or in-house scripts assessed dice similarity coefficient (DSC) and distance to agreement (DTA). One centre assessed head and neck inter-observer variability. Results The mean contouring time saved for prostate structures using DLC compared to the existing clinical method was 5.9 ± 3.5 min. The best agreement was shown for the femoral heads (median DSC 0.92 ± 0.03, median DTA 1.5 ± 0.3 mm) and the worst for the rectum (median DSC 0.68 ± 0.04, median DTA 4.6 ± 0.6 mm). The mean contouring time saved for head and neck structures using DLC was 16.2 ± 8.6 min. For one centre there was no DLC time-saving compared to an atlas-based method. DLC contours reduced inter-observer variability compared to manual contours for the brainstem, left parotid gland and left submandibular gland. Conclusions Generic prostate and head and neck DLC models can provide time-savings which can be assessed with paired or non-paired studies to integrate with clinical workload. Reducing inter-observer variability potential has been shown.
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Affiliation(s)
- Zoe Walker
- Medical Physics, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Gary Bartley
- Medical Physics, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Christina Hague
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Daniel Kelly
- Physics Department, The Clatterbridge Cancer Centre NHS Foundation Trust, Clatterbridge Road, Bebington, Wirral CH63 4JY, UK
| | - Clara Navarro
- Department of Medical Physics, Royal Surrey County Hospital NHS Foundation Trust, Egerton Road, Guildford, Surrey GU2 7XX, UK
| | - Jane Rogers
- Medical Physics, University Hospitals Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK
| | - Christopher South
- Department of Medical Physics, Royal Surrey County Hospital NHS Foundation Trust, Egerton Road, Guildford, Surrey GU2 7XX, UK
| | - Simon Temple
- Physics Department, The Clatterbridge Cancer Centre NHS Foundation Trust, Clatterbridge Road, Bebington, Wirral CH63 4JY, UK
| | - Philip Whitehurst
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Robert Chuter
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
- Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
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12
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Shen C, Tannenbaum D, Horn R, Rogers J, Eng C, Zhou S, Johnson B, Kopetz S, Morris V, Overman M, Parseghian C, Chang GJ, Lopez-Olivo MA, Kanwal R, Ellis LM, Dasari A. Overall Survival in Phase 3 Clinical Trials and the Surveillance, Epidemiology, and End Results Database in Patients With Metastatic Colorectal Cancer, 1986-2016: A Systematic Review. JAMA Netw Open 2022; 5:e2213588. [PMID: 35608860 PMCID: PMC9131746 DOI: 10.1001/jamanetworkopen.2022.13588] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
IMPORTANCE Phase 3 trials for patients with metastatic colorectal cancer (mCRC) have been conducted with varying designs and often with surrogate end points for overall survival (OS). OBJECTIVES To critically examine the factors associated with clinically relevant improvement in OS (defined as ≥2 months) in these trials and to evaluate their association with outcomes reflected in Surveillance, Epidemiology, and End Results (SEER) registry data. EVIDENCE REVIEW Medline, EMBASE, Cochrane, Web of Science, ClinicalTrials.gov, EU Clinical Trials Register, and the International Clinical Trials Registry Platform were searched for phase 3 trials of systemic therapy for patients with mCRC by decade (1986-1996, 1997-2006, and 2007-2016), excluding early or pilot studies, studies that did not involve an anticancer drug, studies on cancer screening and prevention, reports of pooled data from multiple trials, and studies with nonpharmaceutical approaches. The association of drug development with OS outside the clinical trial setting was evaluated using data from the SEER registry, including adult patients with a primary cancer site in the colon or rectum, including adenocarcinoma, mucinous adenocarcinoma, or signet ring cell carcinoma; a distant stage; and receipt of chemotherapy as first-line therapy. Kaplan-Meier curves and log-rank tests were used to assess OS. FINDINGS The literature search identified 150 phase III clinical trials with 77 494 total enrollments, and 67 126 patients with mCRC were identified from the SEER database. Significant increases in survival were noted over time, best reflected in the experimental arm of first-line therapy (OS increased by 5.7 months per 10 years; 95% CI, 4.7-6.6 months; progression-free survival increased by 1.4 months per 10 years; 95% CI, 0.7-2.1 months). Although 69 of 148 trials (46.6%) met their predefined primary end point (including 20 of 44 trials [45.5%] with OS as the primary end point), only 35 of 132 trials (26.5%) resulted in improvement in OS by 2 months or more (including 13 of 42 trials [31.0%] with OS as the primary end point). Multivariable logistic regression showed that third-line therapies or later (odds ratio, 0.57; 95% CI, 0.51-0.63) and funding by pharmaceutical companies (odds ratio, 0.57; 95% CI, 0.54-0.60) were less often associated with improvement in OS. Furthermore, there was a decrease in the novelty of targets and agents over time, with trials that evaluated regimens composed entirely of previously approved drugs for mCRC increasing from 28% to 50%. Data from the SEER database showed that median OS increased from 12 months (95% CI, 12-13 months) (1986-1996) to 21 months (95% CI, 21-22 months) (2007-2015) (P < .001), but the 5-year OS continued to be low at 12.2% in 2011. CONCLUSIONS AND RELEVANCE In this systematic review, OS for patients with mCRC appeared to improve significantly in trials, translating into meaningful benefits outside the clinical trial setting; however, these advances, although significant cumulatively, are largely incremental individually. These data should be a call to aim for larger gains from future trials with novel drugs, building on the increasing understanding of the biology of mCRC and sophisticated translational research tools.
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Affiliation(s)
- Chan Shen
- Division of Health Outcomes Research and Quality, Department of Surgery, Penn State College of Medicine, Hershey, Pennsylvania
- Division of Health Services and Behavioral Research, Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Daniel Tannenbaum
- Department of Internal Medicine, The University of Texas Health Sciences Center at Houston, Houston
| | - Robert Horn
- Department of Internal Medicine, The University of Texas Health Sciences Center at Houston, Houston
| | - Jane Rogers
- Department of Pharmacy Clinical Programs, the University of Texas MD Anderson Cancer Center, Houston
| | - Cathy Eng
- Division of Hematology and Oncology, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Shouhao Zhou
- Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Benny Johnson
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Van Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Michael Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Christine Parseghian
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - George J. Chang
- Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston
- Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston
| | - Maria A. Lopez-Olivo
- Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston
| | - Raghav Kanwal
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Lee M. Ellis
- Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston
| | - Arvind Dasari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
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13
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Alexander M, Harris S, Underhill C, Torres J, Sharma S, Lee N, Wong H, Eek R, Michael M, Tie J, Rogers J, Heriot A, Ball D, MacManus M, Wolfe R, Solomon B, Burbury K. PO-44: Risk assessment model potency to detect patients most likely to benefit from thromboprophylaxis: an application of the TARGET- TP score. Thromb Res 2022. [DOI: 10.1016/s0049-3848(22)00234-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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14
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Alexander M, Harris S, Underhill C, Torres J, Sharma S, Lee N, Wong H, Eek R, Michael M, Tie J, Rogers J, Heriot A, Ball D, MacManus M, Wolfe R, Solomon B, Burbury K. OC-15: Targeted thromboprophylaxis in ambulatory patients receiving anticancer therapies for lung or gastrointestinal cancers (TARGET-TP); a randomized trial. Thromb Res 2022. [DOI: 10.1016/s0049-3848(22)00187-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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15
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Rogers J. Robert Newton Smith. Assoc Med J 2021. [DOI: 10.1136/bmj.n3078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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16
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Swain C, Rogers J, Gane D, Quinn M, Hopkins J, Pullyblank AM. SP3.1.3 Use of a Care Bundle to reduce Surgical Site Infection after Emergency Laparotomy. Br J Surg 2021. [DOI: 10.1093/bjs/znab361.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Aim
Surgical Site Infection (SSI) is common after abdominal surgery. A care bundle was introduced to sustainably reduce SSI after elective colorectal surgery. This study aimed to implement an expanded care bundle after emergency laparotomy.
Methods
Quality improvement methodology was used. SSI was measured by direct assessment of the wound in patients in hospital at 30 days. For discharged patients, the PHE SSI surveillance questionnaire was used to measure patient-reported SSI 30 days post-operatively. The care bundle included: 2% chlorhexidine skin preparation; dual ring wound protectors; triclosan-coated sutures for wound closure; second dose of antibiotics >4 hours, betadine to the wound and glove change before closure. Bundle compliance was measured and fed back to surgical teams.
Results
Baseline SSI was 13.5% (178 patients) which reduced to 8.5% (118 patients) following bundle introduction. Response rate was 60%. Compliance with antibacterial sutures was measured for patients whose wounds were closed; 10% received negative pressure dressings. Mortality within 30 days was 9%. Length of stay reduced from mean 22.6 to 12.45, median 13.5 to 9 days.
Conclusion
The care bundle reduced SSI after emergency laparotomy. Measuring SSI is more difficult after emergency surgery due to higher death rate, longer length of stay and use of laparostomy. Other challenges include difficulty using wound protectors for some procedures e.g. adhesiolysis and changing practice from use of skin clips.
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Affiliation(s)
- C Swain
- Somerset Foundation Trust
- Institute of Naval Medicine
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17
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Eng C, Chen EY, Rogers J, Lewis M, Strosberg J, Thota R, Krishnamurthi S, Oberstein P, Govindarajan R, Buchschacher G, Patel S, Sohal D, Al-Toubah T, Philip P, Dasari A, Kennecke H, Stein S. Moving Beyond the Momentum: Innovative Approaches to Clinical Trial Implementation. JCO Oncol Pract 2021; 17:607-614. [PMID: 33534616 PMCID: PMC8791825 DOI: 10.1200/op.20.00701] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Despite efforts to enhance enrollment and the merger of national cooperative groups, < 5% of patients with cancer will enroll into a clinical trial. Additionally, clinical trials are affected by a lack of diversity inclusive of minority patients, rural residents, or low-income individuals. COVID-19 further exacerbated known barriers of reduced physician-patient interaction, physician availability, trial activation and enrollment, financial resources, and capacity for conducting research. Based on the cumulative insight of academic and community clinical researchers, we have created a white paper identifying existing challenges in clinical trial conduct and have provided specific recommendations of sustainable modifications to improve efficiency in the activation and conduct of clinical trials with an overarching goal of providing improved access and care to our patients with cancer.
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Affiliation(s)
- Cathy Eng
- Vanderbilt-Ingram Cancer Center, Nashville, TN,Cathy Eng, MD, Vanderbilt-Ingram Cancer Center, Gastrointestinal Cancer Research Program, 2220 Pierce Avenue, 777 Preston Research Building, Nashville, TN 37232; e-mail:
| | - Emerson Y. Chen
- Division of Hematology and Oncology, Oregon Health and Science University, Knight Cancer Institute, Portland, OR
| | - Jane Rogers
- University of Texas MD Anderson Cancer Center Pharmacy Clinical Programs, Houston, TX
| | | | | | | | | | | | - Rang Govindarajan
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas, Little Rock, AR
| | | | - Sandip Patel
- Moores Cancer Center, UC San Diego Health, La Jolla, CA
| | - Davendra Sohal
- University of Cincinnati Health Barrett Cancer Center, Cincinnati, OH
| | | | | | - Arvind Dasari
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Stacey Stein
- Smilow Cancer Center, Yale School of Medicine, New Haven, CT
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18
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Rahman M, Ghasemi Y, Suley E, Zhou Y, Wang S, Rogers J. Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features. Ing Rech Biomed 2021. [DOI: 10.1016/j.irbm.2020.05.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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19
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Zhu T, Wang L, Rimbert H, Rodriguez JC, Deal KR, De Oliveira R, Choulet F, Keeble‐Gagnère G, Tibbits J, Rogers J, Eversole K, Appels R, Gu YQ, Mascher M, Dvorak J, Luo M. Optical maps refine the bread wheat Triticum aestivum cv. Chinese Spring genome assembly. Plant J 2021; 107:303-314. [PMID: 33893684 PMCID: PMC8360199 DOI: 10.1111/tpj.15289] [Citation(s) in RCA: 174] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/12/2021] [Accepted: 04/19/2021] [Indexed: 05/09/2023]
Abstract
Until recently, achieving a reference-quality genome sequence for bread wheat was long thought beyond the limits of genome sequencing and assembly technology, primarily due to the large genome size and > 80% repetitive sequence content. The release of the chromosome scale 14.5-Gb IWGSC RefSeq v1.0 genome sequence of bread wheat cv. Chinese Spring (CS) was, therefore, a milestone. Here, we used a direct label and stain (DLS) optical map of the CS genome together with a prior nick, label, repair and stain (NLRS) optical map, and sequence contigs assembled with Pacific Biosciences long reads, to refine the v1.0 assembly. Inconsistencies between the sequence and maps were reconciled and gaps were closed. Gap filling and anchoring of 279 unplaced scaffolds increased the total length of pseudomolecules by 168 Mb (excluding Ns). Positions and orientations were corrected for 233 and 354 scaffolds, respectively, representing 10% of the genome sequence. The accuracy of the remaining 90% of the assembly was validated. As a result of the increased contiguity, the numbers of transposable elements (TEs) and intact TEs have increased in IWGSC RefSeq v2.1 compared with v1.0. In total, 98% of the gene models identified in v1.0 were mapped onto this new assembly through development of a dedicated approach implemented in the MAGAAT pipeline. The numbers of high-confidence genes on pseudomolecules have increased from 105 319 to 105 534. The reconciled assembly enhances the utility of the sequence for genetic mapping, comparative genomics, gene annotation and isolation, and more general studies on the biology of wheat.
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Affiliation(s)
- Tingting Zhu
- Department of Plant SciencesUniversity of CaliforniaDavisCA95616USA
| | - Le Wang
- Department of Plant SciencesUniversity of CaliforniaDavisCA95616USA
| | - Hélène Rimbert
- GDECUniversité Clermont AuvergneINRAEClermont‐Ferrand63000France
| | | | - Karin R. Deal
- Department of Plant SciencesUniversity of CaliforniaDavisCA95616USA
| | | | - Frédéric Choulet
- GDECUniversité Clermont AuvergneINRAEClermont‐Ferrand63000France
| | | | - Josquin Tibbits
- Centre for AgriBioscienceAgriculture VictoriaAgriBioBundooraVIC3083Australia
| | - Jane Rogers
- International Wheat Genome Sequencing ConsortiumEau ClaireWI54701USA
| | - Kellye Eversole
- International Wheat Genome Sequencing ConsortiumEau ClaireWI54701USA
| | - Rudi Appels
- Centre for AgriBioscienceAgriculture VictoriaAgriBioBundooraVIC3083Australia
- International Wheat Genome Sequencing ConsortiumEau ClaireWI54701USA
| | - Yong Q. Gu
- Crop Improvement and Genetics Research UnitUSDA‐ARSAlbanyCA94710USA
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)SeelandGermany
| | - Jan Dvorak
- Department of Plant SciencesUniversity of CaliforniaDavisCA95616USA
| | - Ming‐Cheng Luo
- Department of Plant SciencesUniversity of CaliforniaDavisCA95616USA
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20
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Lin D, Chang J, Banks A, Rogers J, Paller A, Xu S. 135 Comparing hydration levels in healthy normals vs. atopic dermatitis and xerosis cutis using a novel wireless, non-invasive sensor. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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21
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Jácome AA, Kee B, Fogelman D, Dasari A, Shureiqi I, Raghav K, Morris V, Johnson B, Overman M, Wolff R, Kopetz S, Rogers J, Ahmed SU, Mehdizadeh A, Rothschild N, Eng C. FOLFOXIRI Versus Doublet Regimens in Right-Sided Metastatic Colorectal Cancer: Focus on Subsequent Therapies and Impact on Overall Survival. Clin Colorectal Cancer 2020; 19:248-255.e6. [DOI: 10.1016/j.clcc.2020.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/14/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022]
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22
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McCauley M, Bailitz J, Horowitz R, Gottlieb M, Hafez N, Rogers J, Au A, Gaspari R, Noble V, Boulger C, Liu R. 31 Development of a Mastery Learning Checklist and Minimal Passing Standard for Emergency Medicine Resident EFAST Training. Ann Emerg Med 2020. [DOI: 10.1016/j.annemergmed.2020.09.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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23
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Cusack M, Tyler A, Valenti M, Rogers J, MacLeod M. The Stirling Protocol - Putting the environment at the heart of prosperity and social inclusion. Sci Total Environ 2020; 737:140079. [PMID: 32783830 PMCID: PMC7301142 DOI: 10.1016/j.scitotenv.2020.140079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/05/2020] [Accepted: 06/06/2020] [Indexed: 06/11/2023]
Abstract
While the global coronavirus crisis impacts society and the economy in a myriad of ways, it provides, what is likely to be, a once in a lifetime opportunity for us to rethink our response to climate change. According to the 2020 Global Risk Register, extreme weather and climate action failure are the two most likely and impactful risks to the global economy, which now more than ever needs to be avoided. Addressing the major challenges that we face from climate change can often appear to conflict with economic priorities. Add to this the fact that environmental mitigation steps can inadvertently exclude sections of the population and the enormity and complexity of climate change responses can result in paralysis. In contrast, the Stirling Protocol provides the framework for rapid, effective action and comprises three pillars: Environment, Economy & Inclusion. By addressing and balancing these three pillars, the simple protocol can be adopted throughout organisations putting the environment at the heart of sustainable prosperity and inclusion and provide a benchmark for positive action.
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Affiliation(s)
- M Cusack
- Division of Biological & Environmental Science, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.
| | - A Tyler
- Division of Biological & Environmental Science, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - M Valenti
- Scottish Enterprise, Atrium Court, Waterloo Street, Glasgow G2 6HQ, UK
| | - J Rogers
- Research & Innovation Services, University of Stirling, Stirling FK9 4LA, UK
| | - M MacLeod
- Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
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24
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Rogers J, Sherwood V, Wayte SC, Duffy JA, Manolopoulos S. Quantification and correction of distortion in diffusion-weighted MRI at 1.5 and 3 T in a muscle-invasive bladder cancer phantom for radiotherapy planning. Br J Radiol 2020; 93:20190710. [PMID: 32706981 DOI: 10.1259/bjr.20190710] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Limited visibility of post-resection muscle-invasive bladder cancer (MIBC) on CT hinders radiotherapy dose escalation of the residual tumour. Diffusion-weighted MRI (DW-MRI) visualises areas of high tumour burden and is increasingly used within diagnosis and as a biomarker for cancer. DW-MRI could, therefore, facilitate dose escalation, potentially via dose-painting and/or accommodating response. However, the distortion inherent in DW-MRI could limit geometric accuracy. Therefore, this study aims to quantify DW-MRI distortion via imaging of a bladder phantom. METHODS A phantom was designed to mimic MIBC and imaged using CT, DW-MRI and T2W-MRI. Fiducial marker locations were compared across modalities and publicly available software was assessed for correction of magnetic susceptibility-related distortion. RESULTS Fiducial marker locations on CT and T2W-MRI agreed within 1.2 mm at 3 T and 1.8 mm at 1.5 T. The greatest discrepancy between CT and apparent diffusion coefficient (ADC) maps was 6.3 mm at 3 T, reducing to 1.8 mm when corrected for distortion. At 1.5 T, these values were 3.9 mm and 1.7 mm, respectively. CONCLUSIONS Geometric distortion in DW-MRI of a model bladder was initially >6 mm at 3 T and >3 mm at 1.5 T; however, established correction methods reduced this to <2 mm in both cases. ADVANCES IN KNOWLEDGE A phantom designed to mimic MIBC has been produced and used to show distortion in DW-MRI can be sufficiently mitigated for incorporation into the radiotherapy pathway. Further investigation is therefore warranted to enable individually adaptive image-guided radiotherapy of MIBC based upon DW-MRI.
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Affiliation(s)
- Jane Rogers
- Department of Physics, University of Warwick CV4 7AL, Warwick, United Kingdom.,Clinical Physics and Bioengineering, University Hospitals Coventry and Warwickshire NHS Trust CV2 2DX, Coventry, United Kingdom
| | - Victoria Sherwood
- Clinical Physics and Bioengineering, University Hospitals Coventry and Warwickshire NHS Trust CV2 2DX, Coventry, United Kingdom
| | - Sarah C Wayte
- Clinical Physics and Bioengineering, University Hospitals Coventry and Warwickshire NHS Trust CV2 2DX, Coventry, United Kingdom
| | - Jonathan A Duffy
- Department of Physics, University of Warwick CV4 7AL, Warwick, United Kingdom
| | - Spyros Manolopoulos
- Department of Medical Physics and Biomedical Engineering, University College, London WC1E 6BT, United Kingdom
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Chun K, Kim J, Jo H, Lee J, Lee R, Zhang M, Lee K, Chang J, Fishbein A, Paller A, Rogers J, Xu S. 882 Machine learning for measuring scratching in atopic dermatitis using a skin-mounted, soft and wireless sensor: Model selection, feature extraction, and training set performance. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zhang M, Aranyosi A, Lee S, Model J, Leech A, Li W, Chen S, Rogers J, Paller A, Ghaffari R, Xu S. 888 Rapid capture, extraction, and analysis of sweat samples for quantification of inflammation biomarkers using a novel wearable microfluidic system. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Park Y, Kwon K, Kwak J, Kwak S, Yang D, Pontes D, Zhang M, Xu S, Rogers J. 826 Ultra-low profile, soft pressure sensors with wireless communication for wound healing applications. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Dean HF, King E, Gane D, Hocking D, Rogers J, Pullyblank A. Introduction of a care bundle effectively and sustainably reduces patient-reported surgical site infection in patients undergoing colorectal surgery. J Hosp Infect 2020; 105:156-161. [PMID: 32289384 DOI: 10.1016/j.jhin.2020.04.013] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 04/06/2020] [Indexed: 01/27/2023]
Abstract
BACKGROUND Surgical site infection (SSI) is one of the most common healthcare-associated infections and is particularly prevalent following colorectal surgery. It is associated with an increase in patient morbidity and healthcare costs. SSI is difficult to monitor as it frequently presents after discharge from hospital, especially if enhanced recovery programmes are in place. AIM To develop an effective method for measuring patient-reported 30-day SSI in patients undergoing colorectal resection. To implement a new care bundle capable of delivering a sustainable reduction in SSI. METHODS The Public Health England SSI surveillance questionnaire was used. Several data collection methods were tested including postal and telephone-based systems. A new SSI bundle was introduced in our centre incorporating four evidence-based interventions: 2% chlorhexidine skin preparation; repeat-dose antibiotics after 4 h; dual-ring wound protectors; and triclosan-coated sutures for wound closure. System changes were introduced to ensure that the change was sustainable. FINDINGS The most reliable method of measuring patient-reported SSI was found to be postal questionnaire with telephone calls made to non-responders. Response rates to the SSI surveillance questionnaire were consistently >75%. Introduction of the new care bundle produced a significant reduction in SSI from 20% to 10% (P ≤ 0.0001) which has been sustained for six years. CONCLUSION This is a reliable method for measuring 30-day patient-reported SSI rates. The introduction of this new care bundle has halved the rate of SSI from 20% to 10%.
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Affiliation(s)
- H F Dean
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK.
| | - E King
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - D Gane
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - D Hocking
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - J Rogers
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - A Pullyblank
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
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Barac Y, Bishawi M, Milano C, Schroder J, Daneshmand M, Hashmi N, Velazquez E, Rogers J, Patel C, Nicoara A. Impact of Tricuspid Valve Repair for Moderate Tricuspid Regurgitation at the Time of Left Ventricular Assist Device Implantation on the Occurrence of Right Heart Failure. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Cho S, Uchino K, Starling R, Mokadam N, Joseph S, Teuteberg J, Tirschwell D, Li S, Jacoski M, Rogers J, Pagani F, Mahr C. Long-Term Neurocognitive Outcomes in LVAD Recipients. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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31
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Song W, Chen Q, Patel C, Yang Q, Wang L, Hanshew W, DeVore A, Schroder J, Milano C, Rogers J, Holley C, Chen D. Pre-Formed Donor-Specific Antibodies Impact Long Term Survival of Heart Transplants. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.1173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Wang R, Song S, Harada K, Ghazanfari Amlashi F, Badgwell B, Pizzi MP, Xu Y, Zhao W, Dong X, Jin J, Wang Y, Scott A, Ma L, Huo L, Vicente D, Blum Murphy M, Shanbhag N, Tatlonghari G, Thomas I, Rogers J, Kobayashi M, Vykoukal J, Estrella JS, Roy-Chowdhuri S, Han G, Zhang S, Mao X, Song X, Zhang J, Gu J, Johnson RL, Calin GA, Peng G, Lee JS, Hanash SM, Futreal A, Wang Z, Wang L, Ajani JA. Multiplex profiling of peritoneal metastases from gastric adenocarcinoma identified novel targets and molecular subtypes that predict treatment response. Gut 2020; 69:18-31. [PMID: 31171626 PMCID: PMC6943252 DOI: 10.1136/gutjnl-2018-318070] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/14/2019] [Accepted: 04/04/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Peritoneal carcinomatosis (PC) occurs frequently in patients with gastric adenocarcinoma (GAC) and confers a poor prognosis. Multiplex profiling of primary GACs has been insightful but the underpinnings of PC's development/progression remain largely unknown. We characterised exome/transcriptome/immune landscapes of PC cells from patients with GAC aiming to identify novel therapeutic targets. DESIGN We performed whole-exome sequencing (WES) and whole transcriptome sequencing (RNA-seq) on 44 PC specimens (43 patients with PC) including an integrative analysis of WES, RNA-seq, immune profile, clinical and pathological phenotypes to dissect the molecular pathogenesis, identifying actionable targets and/or biomarkers and comparison with TCGA primary GACs. RESULTS We identified distinct alterations in PC versus primary GACs, such as more frequent CDH1 and TAF1 mutations, 6q loss and chr19 gain. Alterations associated with aggressive PC phenotypes emerged with increased mutations in TP53, CDH1, TAF1 and KMT2C, higher level of 'clock-like' mutational signature, increase in whole-genome doublings, chromosomal instability (particularly, copy number losses), reprogrammed microenvironment, enriched cell cycle pathways, MYC activation and impaired immune response. Integrated analysis identified two main molecular subtypes: 'mesenchymal-like' and 'epithelial-like' with discriminating response to chemotherapy (31% vs 71%). Patients with the less responsive 'mesenchymal-like' subtype had high expression of immune checkpoint T-Cell Immunoglobulin And Mucin Domain-Containing Protein 3 (TIM-3), its ligand galectin-9, V-domain Ig suppressor of T cell activation (VISTA) and transforming growth factor-β as potential therapeutic immune targets. CONCLUSIONS We have uncovered the unique mutational landscape, copy number alteration and gene expression profile of PC cells and defined PC molecular subtypes, which correlated with PC therapy resistance/response. Novel targets and immune checkpoint proteins have been identified with a potential to be translated into clinics.
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Affiliation(s)
| | - Shumei Song
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Kazuto Harada
- GI Medical Oncology, UT MDACC, Houston, Texas, USA,Gastroenterological Surgery, Kumamoto University, Kumamoto, Japan
| | | | | | | | - Yan Xu
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Wei Zhao
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | | | | | - Ying Wang
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Ailing Scott
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Lang Ma
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Longfei Huo
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | | | | | | | | | - Irene Thomas
- GI Medical Oncology, UT MDACC, Houston, Texas, USA
| | - Jane Rogers
- Pharmacy Clinical Programs, UT MDACC, Houston, TX, USA
| | | | - Jody Vykoukal
- Clinical Cancer Prevention, UT MDACC, Houston, Texas, USA
| | | | | | | | | | - Xizeng Mao
- Genomic Medicine, UT MDACC, Houston, Texas, USA
| | | | | | - Jian Gu
- Epidemiology, UT MDACC, Houston, Texas, USA
| | | | | | - Guang Peng
- Clinical Cancer Prevention, UT MDACC, Houston, Texas, USA
| | - Ju-Seog Lee
- Systems Biology, UT MDACC, Houston, Texas, USA
| | - Samir M Hanash
- Clinical Cancer Prevention, UT MDACC, Houston, Texas, USA
| | | | - Zhenning Wang
- Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China
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Bamford P, Qin J, Said C, Johns I, Rogers J. 222 Improving Atrial Fibrillation Management: Does It Reduce Stroke Burden? A Single Centre Audit Loop. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Kiyimba F, Hartson S, Rogers J, Mafi G, VanOverbeke D, Ramanathan R. Differential Protein Abundance in Dark-Cutting and Normal-pH Beef. Meat and Muscle Biology 2019. [DOI: 10.22175/mmb.10798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
ObjectivesDark-cutting beef is a meat quality defect in which meat does not display the marketable bright-red color. Although previous studies have indicated that the ultimate pH of dark-cutting beef is greater than normal, the mechanistic basis for the occurrence is not clear. Various mitochondrial and glycolytic enzymes/proteins are involved in muscle metabolism and lowering of pH. However, limited knowledge is currently available on the muscle protein profile differences between dark-cutting and normal-pH beef. The objective of the current study was to identify proteins related to the development of the dark-cutting condition by comparing the protein expression differences between dark-cutting and normal-pH beef.Materials and MethodsDark-cutting and normal-pH beef samples were collected from six (n = 6) different animals after slaughter. Tissue samples (0.5 g) were digested in 5 mL of lysis buffer. Tissue lysates were homogenized, boiled, sonicated using a bioruptor and centrifuged at 10,000 g for 10 min. Samples were digested with trypsin/Lys-C overnight at 37°C, after which additional 2 µg/mL of protease was added and digestion was continued for another 8h. The resulting trypsinolytic peptides were acidified to 1% trifluoroacetic acid and purified by solid phase extraction with C18 affinity media. Protein expression profiles of both dark-cutting and normal-pH beef samples were determined using LC-MS/MS mass spectrometry-based proteomics. Collected raw data instrument files were searched against a bovine proteome database of 23,968 bovine proteome sequences using MaxQuant (V.1.5.3.8). Differential protein expression analysis was done in Perseus (V.1.5.1.3). Ingenuity pathway analysis (IPA) was utilized to determine the significant pathways of the differentially expressed proteins in dark-cutting and normal-pH beef. Gene ontology enrichment pathway analysis was performed to determine the main functions of the differentially expressed proteins in dark-cutting and normal-pH beef identified in our samples.ResultsMass spectrometry analysis identified 1148 proteins, and 97 of these proteins were differentially expressed between normal-pH and dark-cutting beef (P < 0.05). Fold change of 1.5 was observed for 29 proteins. Dark-cutting beef had 19 abundant proteins, while normal-pH beef had 10 abundant proteins. The majority of the upregulated proteins in dark-cutting beef were involved in mitochondrial functioning and metabolism, while the majority of the downregulated proteins were important in glycogen degradation, calcium signaling, α-adrenergic signaling, n-NOS-signaling and the proteasome pathways.ConclusionThe results identify new protein biomarkers associated with dark-cutting and suggest new mechanistic explanations for the dark-cutting phenotype.
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Affiliation(s)
- F. Kiyimba
- Oklahoma State University Animal & Food Sciences
| | - S. Hartson
- Oklahoma State University Biochemistry & Molecular Biology
| | - J. Rogers
- Oklahoma State University Biochemistry & Molecular Biology
| | - G. Mafi
- Oklahoma State University Animal & Food Sciences
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Jacome AA, Kee BK, Fogelman DR, Shureiqi I, Dasari A, Raghav KPS, Morris VK, Johnson B, Wolff RA, Overman MJ, Kopetz S, Rogers J, Ahmed SU, Mehdizadeh A, Eng C. FOLFOXIRI versus doublet-regimens in the first-line therapy of MSI-S right-sided (RS) metastatic colorectal cancer (mCRC): A survival analysis. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e15060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15060 Background: Microsatellite stable (MSI-S) RS mCRC patients (pts) have a worse prognosis relative to left sided tumors for overall survival (OS). The present analysis aims to test the hypothesis that a triplet-regimen is superior compared to doublet-regimens (DR; FOLFOX or FOLFIRI) for OS. Methods: Pts with treatment-naive RS mCRC at MD Anderson Cancer Center between January/2011 to December/2018 were selected. We compared the progression-free survival (PFS) and OS of mCRC pts treated with FOLFOXIRI versus DR. Pts treated with anti-EGFR therapy were excluded. Results: A total of 37 pts were treated with FOLFOXIRI and 111 pts with DR. There were no statistical difference between groups regarding gender, KRAS and BRAF mutations, peritoneal metastasis and bevacizumab use. There were statistical difference in age (median: 46y vs 59y) and metastasectomy rates (14% vs 32%) (p < 0.001). KRAS mutation was found in 65% of the population. Median follow-up was 55.3m. Median PFS was 6.5m vs 11.2m (HR: 1.30 95% CI 0.85 – 1.99) and median OS was 17.0m vs 26.3m (HR: 1.01 95% CI 0.60 – 1.68). By univariate analysis, pts who have undergone metastasectomy had superior PFS (14.9m vs 9.2m; p<0.001) and OS (32.4m vs 22.9m; p=0.003). By multivariate analysis adjusted for age, BRAF mutation, metastasectomy, bevacizumab use and, treatment regimen, only age and metastasectomy had prognostic influence for PFS (p=0.039 and p=0.026, respectively). Conclusions: Despite RS having a poor prognosis for OS, our study does not suggest that RS mCRC pts benefit from intensive treatment. Randomized clinical trials may suggest more individualized therapies.
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Affiliation(s)
- Alexandre A Jacome
- MD Anderson Cancer Center, Department of Gastrointestinal Medical Oncology, Houston, TX
| | - Bryan K. Kee
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - David R. Fogelman
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Imad Shureiqi
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Van K. Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Benny Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Robert A. Wolff
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Jane Rogers
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Cathy Eng
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Huey R, Anand S, Rogers J, Dasari A, Varadhachary GR, Gothwal A, Loree JM, Ellis LM, Overman MJ, Raghav KPS. Value appraisal of FDA approved cancer drugs over the past decade. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e18385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e18385 Background: Value based drug pricing is emerging as an imperative health care precept in recognition of the ever-increasing drug costs, especially in oncology. Though novel therapies are regularly approved based on benefit, they are often associated with physical and financial toxicities to patients. We aimed to assess the value of FDA approved oncology drugs defined as their expected clinical benefit compared to their toxicities and costs. Methods: We reviewed all new cancer drug approvals by the FDA from 7/2008-6/2018. Current analysis was restricted to approvals based on overall survival (OS) and progression-free survival (PFS). Data regarding approval indication, effect size, and toxicity were collected from FDA website and publications. Toxicity was estimated as adverse events ≥ grade 3 (or serious adverse events) as reported. Micromedex RED BOOK was used to estimate the total drug price using 2018 average wholesale prices. Price was estimated over 3 months to account for difference in drug regimens. Results: Among the 231 trials used by FDA for approvals in oncology, 115 had OS or PFS as their primary endpoint. Median patients per trial was 539. Of 79 trials with a PFS endpoint, the median HR was 0.50 (range: 0.15 - 0.91); median 3-month drug price was $45,903.72. Compared to the control arm, median toxicity for new drugs was 7% higher (range: -34.4 - 55%). Correlation of HR benefit to 3-month price was 0.06 (95% CI: -0.17 - 0.28, P = 0.61). Correlation of net toxicities to 3-month price was 0.01 (95% CI: -0.25 - 0.26, P = 0.94). Of 43 trials with an OS endpoint, the median HR was 0.72 (range: 0.37 - 0.94); median 3-month price was $43,523.46. Relative to control arm, median toxicity for new drugs was 4% higher (range: -34.4 - 45.8%). Correlation of HR benefit to 3-month price was 0.38 (95% CI: 0.08 - 0.62, P = 0.012). Correlation of net toxicities to 3-month price was -0.12 (95% CI: -0.45 - 0.24, P = 0.50). Conclusions: Drug approvals in oncology come with a high cost and drug prices have very little correlation with estimated benefit in outcomes and toxicities. As policies evolve to promote higher value in health care, attention should be paid to benefits of drugs in relation to pricing and using biomarker-based patient selection to maximize benefits and minimize toxicities.
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Affiliation(s)
- Ryan Huey
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Seerat Anand
- Jawaharlal Nehru Medical College, Belgaum, Belgaum, India
| | - Jane Rogers
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Lee M. Ellis
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Hasanov M, Mohindroo C, Rogers J, Prakash L, Overman MJ, Varadhachary GR, Wolff RA, Javle MM, Fogelman DR, Pant S, Katz MHG, Kim MP, Tzeng CWD, McAllister F. The effect of antibiotic use on survival of patients with resected pancreatic ductal adenocarcinoma. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e15773] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e15773 Background: Recent studies showed that gut microbial dysbiosis can affect carcinogenesis and tumor responses to therapies. Antibiotics, key pharmacologic agents that modulate microbiota diversity and bacterial strains, can lead to dysbiosis. Recent studies have postulated a tumor promoting effect for some pancreatic ductal adenocarcinoma (PDAC)-associated gut bacteria. However, the effects of antibiotic use on PDAC patients outcome is yet to be discovered. Methods: We examined a total of 342 patients who were diagnosed with PDAC between 2003-2015 and underwent primary tumor resection. Antibiotic exposure was defined as the use of antibiotics for ≥7 days between diagnosis and surgery. We collected data on patient demographics, presurgical antibiotic use, duration, type and reason, disease and therapy characteristics, and prognostic parameters. We analyzed and compared the objective responses, progression free survival (PFS) and overall survival (OS). Results: From a total 342 patients with resected PDAC, 147 patients (43%) used antibiotics for ≥7 days duration during the presurgical period. The most frequently used antibiotics were quinolones (80.4%), beta-lactams (38.2%), nitroimidazoles (23%), glycopeptides (15.3%), tetracyclines (8.6%), and macrolides (6.7%). The median OS for patients with antibiotic use was 1007 vs. 940 days for those without antibiotic use (p = 0.57). The median PFS was 374 for patients with antibiotic use and 313 days for those without antibiotic use (p = 0.51). The effect of individual antibiotics was examined and statistical analysis was done for possible confounding factors including disease stage, treatment type, and the reason for antibiotic use. Tetracyclines use was found to be significantly associated with worse survival on resected PDAC patients and was not affected by confounding factors such as skin infections. The median OS of patients who had tetracycline for ≥7 days was 687 vs. 1004 days for those not exposed to this antibiotic (HR 1.836; p = 0.015). Although not statistically significant, PFS was shorter with tetracycline use. Conclusions: We conducted the first retrospective, single-center cohort study on resected PDAC patients examining the potential influence of antibiotic use on survival. Tetracycline use in resectable PDAC patients is associated with clinically significant decreased PFS and statistically significant worse OS. Further multicenter studies with larger population would be necessary to confirm these findings that could help clinical practice for infectious treatment in PDAC patients.
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Affiliation(s)
- Merve Hasanov
- The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX
| | | | - Jane Rogers
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Laura Prakash
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Robert A. Wolff
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - David R. Fogelman
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shubham Pant
- University of Texas MD Anderson Cancer Center, Houston, TX
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Shendure J, Balasubramanian S, Church GM, Gilbert W, Rogers J, Schloss JA, Waterston RH. Publisher Correction: DNA sequencing at 40: past, present and future. Nature 2019; 568:E11. [PMID: 30948799 DOI: 10.1038/s41586-019-1120-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In this Review, the year of publication of reference 54 should be 2005, not 2015. In Box 2, "1982: GenBank ( https://www.ncbi.nlm.nih.gov/genbank/statistics/ )" should read "1982: Genbank/ENA/DDBJ" and "2007: NCBI Short Read Archive" should read "2007: NCBI and ENA Short Read Archives"; this is because the launches of these American, European and Japanese databases were coordinated. These errors have not been corrected.
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Affiliation(s)
- Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA. .,Howard Hughes Medical Institute, Seattle, Washington, USA.
| | - Shankar Balasubramanian
- Department of Chemistry, University of Cambridge, Cambridge, UK.,Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - George M Church
- The Wyss Institute & Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Walter Gilbert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium, Little Eversden, Cambridge, UK
| | - Jeffery A Schloss
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Robert H Waterston
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
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Khedraki R, Rajeev M, Rogers J, Heywood J, Srivastava A. To Exchange or Not: Defibrillators, Ventricular Assist Devices and Hematomas. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Silvestry S, Rogers J, Cotts W, Slaughter M, Prasad S, Jacoski M, Pagani F, Stein L. Relationship between Length of Hospital Stay Post LVAD Implant and Survival: The Potential for Understanding a Less Sick Population. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.1127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Shah P, Mahr C, Rogers J, Kiernan M, Boyce S, Mokadam N, Pagani F, Vassiliades T, Teuteberg J. Impact of Stroke Onset Severity on 2-Year Survival in Destination Therapy Patients Supported by Centrifugal Flow versus Axial Flow Ventricular Assist Devices. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Cho S, Starling R, Teuteberg J, Rogers J, Pagani F, Shah P, Uchino K, Vassiliades T. Understanding Risk Factors for Stroke Subtypes in the ENDURANCE Trials. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Mizrahi J, Rogers J, Hess KR, Wolff RA, Varadhachary GR, Shroff RT, Ho L, Fogelman DR, Raghav KPS, Overman MJ, Pant S. FOLFIRINOX in pancreatic cancer patients age 75 years or older. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.4_suppl.362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
362 Background: Although FOLFIRINOX (5-Fluorouracil + leucovorin + irinotecan + oxaliplatin) is now the standard of care for patients (pts) with metastatic pancreatic cancer (PC) based on the 2011 study by Conroy et al. which demonstrated improved median overall survival (mOS) (11.1 vs 6.8 months [m] with gemcitabine, P < 0.001), pts > 75 yrs old were excluded from this study. As per SEER 2011-2015 data, 38% of new PC cases are diagnosed in pts age > 75. The purpose of this study was to assess the safety and efficacy of FOLFIRINOX in this group of pts. Methods: We retrospectively analyzed unresectable PC pts, age ≥ 75, treated with FOLFIRINOX at MD Anderson since 2011. Data obtained include demographics, line of treatment (tx), starting dose, progression free survival (PFS), OS and toxicities. Response was determined by chart documentation. Primary outcomes were mOS and rates of grade 3/4 hematologic toxicity (HT). Results: A total of 24 pts (19 male) were included with median age of 76 (range 75 to 84). 18 had metastatic disease, and FOLFIRINOX was the 1st line of tx for 18 of the 24 pts. The median number of cycles administered was 4 (range 1 to 12). The most frequent starting doses of infusional 5-FU, irinotecan and oxaliplatin were 2400, 150 and 75 mg/m2, respectively. Bolus 5-FU and leucovorin were omitted in all but 3 pts. Median PFS was 3.7 m (95% CI: 3.0-5.7) with mOS of 11.6 m (95% CI: 6.14-15.7). 16 pts (67%) experienced disease control (response to tx or stable disease). Grade 3 or 4 HT occurred in 11 pts (46%), and 9 (38%) were supported with granulocyte colony-stimulating factor at some point during tx. 6 pts (25%) required hospital admission for any toxicity, most commonly infection (3 pts), and 10 (42%) stopped FOLFIRINOX due to toxicity, most commonly fatigue (6 pts). Conclusions: In this single-center retrospective analysis of 24 unresectable PC pts age 75 or older given FOLFIRINOX, OS outcomes were similar to those reported by Conroy et al in the original trial which excluded pts older than 75. In our review, toxicities including incidences of grade 3 or 4 HT were similar to those reported in the initial study. These data indicate that the use of modified dosing FOLFIRINOX in advanced PC pts older than 75 appears to maintain similar efficacy and toxicity when compared to younger pts.
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Affiliation(s)
| | - Jane Rogers
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kenneth R. Hess
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Robert A. Wolff
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Linus Ho
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - David R. Fogelman
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Shubham Pant
- University of Texas MD Anderson Cancer Center, Houston, TX
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Lalloo R, Tadakamadla SK, Kroon J, Tut O, Kularatna S, Boase R, Kapellas K, Gilchrist D, Cobbledick E, Rogers J, Johnson NW. Salivary characteristics and dental caries experience in remote Indigenous children in Australia: a cross-sectional study. BMC Oral Health 2019; 19:21. [PMID: 30654791 PMCID: PMC6337781 DOI: 10.1186/s12903-018-0692-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 12/12/2018] [Indexed: 01/15/2023] Open
Abstract
Background While associations between salivary characteristics and dental caries have been well studied, we are not aware of this being assessed in a remote Indigenous child population, where lifestyles may be different from urban children. Our aim was to assess associations between caries experience and putative biomarkers in saliva, accounting for oral hygiene and dietary habits. Methods Children attending schools in an Indigenous community in remote north Queensland, Australia were invited to an oral examination by qualified and calibrated examiners. Salivary flow rate, pH, buffering capacity and loads of mutans streptococci (MS), lactobacilli (LB) and yeasts were determined. Also, data on tooth brushing frequency and soft drinks consumption were obtained via a questionnaire. Caries experience was recorded by the International Caries Detection and Assessment System (ICDAS-II), and quantified as decayed, missing and filled surfaces. Relationships between the salivary variables and the cumulative caries experience (dmfs+DMFS) in the deciduous and permanent dentitions were examined by multivariate analyses to control the effect of confounders. Results The mean cumulative decayed (DS + ds), missing (MS + ms) and filled (FS + fs) surfaces were 3.64 (SD: 4.97), 1.08 (4.38) and 0.79 (1.84) respectively. Higher salivary MS and LB counts, low tooth brushing frequency and daily soft drink consumption were significantly related to greater caries experience. Caries experience was about twice in those with ≥10^5 CFU/ml saliva counts of MS (mean = 6.33, SD: 8.40 vs 3.11, 5.77) and LB (7.03, 7.49 vs 4.41, 8.00). In the fully-adjusted multivariate model, caries experience in those with higher counts of MS and LB were 51 and 52% more than those with lower counts. Conclusions As with studies in other populations, childhood salivary counts of MS and LB were significantly associated with greater caries experience in this remote Indigenous community. To address the serious burden of oral disease, we are researching ways to promote a healthy oral environment by encouraging good dietary habits, and emphasising the importance of daily tooth brushing with a fluoridated toothpaste. Our ongoing longitudinal studies will indicate the success of measures employed to reduce the counts of bacteria closely associated with cariogenesis and their impact on caries increment. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), No: ACTRN12615000693527; date of registration: 3rd July 2015.
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Affiliation(s)
- R Lalloo
- School of Dentistry, The University of Queensland, Brisbane, Australia
| | - S K Tadakamadla
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - J Kroon
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia.,School of Dentistry and Oral Health, Griffith University, Gold Coast, Australia
| | - O Tut
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - S Kularatna
- Australian Centre for Health Service Innovation, School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia
| | - R Boase
- School of Dentistry, James Cook University, Cairns, Australia
| | - K Kapellas
- Australian Research Centre for Population Oral Health, School of Dentistry, The University of Adelaide, Adelaide, Australia
| | - D Gilchrist
- School of Dentistry, James Cook University, Cairns, Australia
| | - E Cobbledick
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - J Rogers
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - N W Johnson
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia. .,School of Dentistry and Oral Health, Griffith University, Gold Coast, Australia. .,King's College London Dental Institute, London, UK.
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Kiyimba F, Hartson S, Rogers J, Mafi G, VanOverbeke D, Ramanathan R. Differential Protein Abundance in Dark-Cutting and Normal-pH Beef. Meat and Muscle Biology 2019. [DOI: 10.22175/mmb2019.0163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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46
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Bamford P, Ray M, Cheruvu S, Parkinson M, Said C, Trappel J, Rogers J. Is Incorrect Anti-Coagulation Dosing Contributing to Ischaemic Stroke Burden? A Retrospective Single-Centre Study from Regional New South Wales, Australia. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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47
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Baker J, Sharma A, Cao Y, Antone J, Rogers J, Hamilton B, Potters L. Adoption of Knowledge-Based Treatment Planning Models. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Fragkos K, Murray K, Obbard S, Shepherd T, Barragry J, Nwaogu A, Rogers J, Ajibodu S, Keane N, Patel P, MacRae M, Mehta S, Di Caro S, Rahman F. Risk factors for catheter related bloodstream infections in patients on home parenteral nutrition: An audit from a tertiary center in 2017. Clin Nutr 2018. [DOI: 10.1016/j.clnu.2018.06.2041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Alaux M, Rogers J, Letellier T, Flores R, Alfama F, Pommier C, Mohellibi N, Durand S, Kimmel E, Michotey C, Guerche C, Loaec M, Lainé M, Steinbach D, Choulet F, Rimbert H, Leroy P, Guilhot N, Salse J, Feuillet C, Paux E, Eversole K, Adam-Blondon AF, Quesneville H. Linking the International Wheat Genome Sequencing Consortium bread wheat reference genome sequence to wheat genetic and phenomic data. Genome Biol 2018; 19:111. [PMID: 30115101 PMCID: PMC6097284 DOI: 10.1186/s13059-018-1491-4] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [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] [Received: 04/13/2018] [Accepted: 07/23/2018] [Indexed: 01/24/2023] Open
Abstract
The Wheat@URGI portal has been developed to provide the international community of researchers and breeders with access to the bread wheat reference genome sequence produced by the International Wheat Genome Sequencing Consortium. Genome browsers, BLAST, and InterMine tools have been established for in-depth exploration of the genome sequence together with additional linked datasets including physical maps, sequence variations, gene expression, and genetic and phenomic data from other international collaborative projects already stored in the GnpIS information system. The portal provides enhanced search and browser features that will facilitate the deployment of the latest genomics resources in wheat improvement.
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Affiliation(s)
- Michael Alaux
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France.
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge, CB23 1HE, UK
| | | | - Raphaël Flores
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | | | - Cyril Pommier
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Nacer Mohellibi
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Sophie Durand
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Erik Kimmel
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Célia Michotey
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Claire Guerche
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Mikaël Loaec
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Mathilde Lainé
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
| | - Delphine Steinbach
- URGI, INRA, Université Paris-Saclay, 78026, Versailles, France
- Present address: GQE-Le Moulon UMR 320, INRA, Université Paris-Sud, Université Paris-Saclay, CNRS, AgroParisTech, Ferme du Moulon, 91190, Gif-sur-Yvette, France
| | - Frédéric Choulet
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Hélène Rimbert
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Philippe Leroy
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Nicolas Guilhot
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Jérôme Salse
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Catherine Feuillet
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
- Present address: Inari Agriculture, 200 Sydney Street, Cambridge, MA, 02139, USA
| | - Etienne Paux
- GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Kellye Eversole
- International Wheat Genome Sequencing Consortium (IWGSC), 5207 Wyoming Road, Bethesda, Maryland, 20816, USA
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50
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Appels R, Eversole K, Feuillet C, Keller B, Rogers J, Stein N, Pozniak CJ, Stein N, Choulet F, Distelfeld A, Eversole K, Poland J, Rogers J, Ronen G, Sharpe AG, Pozniak C, Ronen G, Stein N, Barad O, Baruch K, Choulet F, Keeble-Gagnère G, Mascher M, Sharpe AG, Ben-Zvi G, Josselin AA, Stein N, Mascher M, Himmelbach A, Choulet F, Keeble-Gagnère G, Mascher M, Rogers J, Balfourier F, Gutierrez-Gonzalez J, Hayden M, Josselin AA, Koh C, Muehlbauer G, Pasam RK, Paux E, Pozniak CJ, Rigault P, Sharpe AG, Tibbits J, Tiwari V, Choulet F, Keeble-Gagnère G, Mascher M, Josselin AA, Rogers J, Spannagl M, Choulet F, Lang D, Gundlach H, Haberer G, Keeble-Gagnère G, Mayer KFX, Ormanbekova D, Paux E, Prade V, Šimková H, Wicker T, Choulet F, Spannagl M, Swarbreck D, Rimbert H, Felder M, Guilhot N, Gundlach H, Haberer G, Kaithakottil G, Keilwagen J, Lang D, Leroy P, Lux T, Mayer KFX, Twardziok S, Venturini L, Appels R, Rimbert H, Choulet F, Juhász A, Keeble-Gagnère G, Choulet F, Spannagl M, Lang D, Abrouk M, Haberer G, Keeble-Gagnère G, Mayer KFX, Wicker T, Choulet F, Wicker T, Gundlach H, Lang D, Spannagl M, Lang D, Spannagl M, Appels R, Fischer I, Uauy C, Borrill P, Ramirez-Gonzalez RH, Appels R, Arnaud D, Chalabi S, Chalhoub B, Choulet F, Cory A, Datla R, Davey MW, Hayden M, Jacobs J, Lang D, Robinson SJ, Spannagl M, Steuernagel B, Tibbits J, Tiwari V, van Ex F, Wulff BBH, Pozniak CJ, Robinson SJ, Sharpe AG, Cory A, Benhamed M, Paux E, Bendahmane A, Concia L, Latrasse D, Rogers J, Jacobs J, Alaux M, Appels R, Bartoš J, Bellec A, Berges H, Doležel J, Feuillet C, Frenkel Z, Gill B, Korol A, Letellier T, Olsen OA, Šimková H, Singh K, Valárik M, van der Vossen E, Vautrin S, Weining S, Korol A, Frenkel Z, Fahima T, Glikson V, Raats D, Rogers J, Tiwari V, Gill B, Paux E, Poland J, Doležel J, Číhalíková J, Šimková H, Toegelová H, Vrána J, Sourdille P, Darrier B, Appels R, Spannagl M, Lang D, Fischer I, Ormanbekova D, Prade V, Barabaschi D, Cattivelli L, Hernandez P, Galvez S, Budak H, Steuernagel B, Jones JDG, Witek K, Wulff BBH, Yu G, Small I, Melonek J, Zhou R, Juhász A, Belova T, Appels R, Olsen OA, Kanyuka K, King R, Nilsen K, Walkowiak S, Pozniak CJ, Cuthbert R, Datla R, Knox R, Wiebe K, Xiang D, Rohde A, Golds T, Doležel J, Čížková J, Tibbits J, Budak H, Akpinar BA, Biyiklioglu S, Muehlbauer G, Poland J, Gao L, Gutierrez-Gonzalez J, N'Daiye A, Doležel J, Šimková H, Číhalíková J, Kubaláková M, Šafář J, Vrána J, Berges H, Bellec A, Vautrin S, Alaux M, Alfama F, Adam-Blondon AF, Flores R, Guerche C, Letellier T, Loaec M, Quesneville H, Pozniak CJ, Sharpe AG, Walkowiak S, Budak H, Condie J, Ens J, Koh C, Maclachlan R, Tan Y, Wicker T, Choulet F, Paux E, Alberti A, Aury JM, Balfourier F, Barbe V, Couloux A, Cruaud C, Labadie K, Mangenot S, Wincker P, Gill B, Kaur G, Luo M, Sehgal S, Singh K, Chhuneja P, Gupta OP, Jindal S, Kaur P, Malik P, Sharma P, Yadav B, Singh NK, Khurana J, Chaudhary C, Khurana P, Kumar V, Mahato A, Mathur S, Sevanthi A, Sharma N, Tomar RS, Rogers J, Jacobs J, Alaux M, Bellec A, Berges H, Doležel J, Feuillet C, Frenkel Z, Gill B, Korol A, van der Vossen E, Vautrin S, Gill B, Kaur G, Luo M, Sehgal S, Bartoš J, Holušová K, Plíhal O, Clark MD, Heavens D, Kettleborough G, Wright J, Valárik M, Abrouk M, Balcárková B, Holušová K, Hu Y, Luo M, Salina E, Ravin N, Skryabin K, Beletsky A, Kadnikov V, Mardanov A, Nesterov M, Rakitin A, Sergeeva E, Handa H, Kanamori H, Katagiri S, Kobayashi F, Nasuda S, Tanaka T, Wu J, Appels R, Hayden M, Keeble-Gagnère G, Rigault P, Tibbits J, Olsen OA, Belova T, Cattonaro F, Jiumeng M, Kugler K, Mayer KFX, Pfeifer M, Sandve S, Xun X, Zhan B, Šimková H, Abrouk M, Batley J, Bayer PE, Edwards D, Hayashi S, Toegelová H, Tulpová Z, Visendi P, Weining S, Cui L, Du X, Feng K, Nie X, Tong W, Wang L, Borrill P, Gundlach H, Galvez S, Kaithakottil G, Lang D, Lux T, Mascher M, Ormanbekova D, Prade V, Ramirez-Gonzalez RH, Spannagl M, Stein N, Uauy C, Venturini L, Stein N, Appels R, Eversole K, Rogers J, Borrill P, Cattivelli L, Choulet F, Hernandez P, Kanyuka K, Lang D, Mascher M, Nilsen K, Paux E, Pozniak CJ, Ramirez-Gonzalez RH, Šimková H, Small I, Spannagl M, Swarbreck D, Uauy C. Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science 2018; 361:361/6403/eaar7191. [PMID: 30115783 DOI: 10.1126/science.aar7191] [Citation(s) in RCA: 1459] [Impact Index Per Article: 243.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 07/11/2018] [Indexed: 12/14/2022]
Abstract
An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue- and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
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Affiliation(s)
| | | | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Kellye Eversole
- International Wheat Genome Sequencing Consortium (IWGSC), 5207 Wyoming Road, Bethesda, MD 20816, USA. .,Eversole Associates, 5207 Wyoming Road, Bethesda, MD 20816, USA
| | - Catherine Feuillet
- Bayer CropScience, Crop Science Division, Research and Development, Innovation Centre, 3500 Paramount Parkway, Morrisville, NC 27560, USA
| | - Beat Keller
- Department of Plant and Microbial Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | | | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Assaf Distelfeld
- School of Plant Sciences and Food Security, Tel Aviv University, Ramat Aviv 69978, Israel
| | - Kellye Eversole
- International Wheat Genome Sequencing Consortium (IWGSC), 5207 Wyoming Road, Bethesda, MD 20816, USA. .,Eversole Associates, 5207 Wyoming Road, Bethesda, MD 20816, USA
| | - Jesse Poland
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - Gil Ronen
- NRGene Ltd., 5 Golda Meir Street, Ness Ziona 7403648, Israel
| | - Andrew G Sharpe
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | | | - Curtis Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Gil Ronen
- NRGene Ltd., 5 Golda Meir Street, Ness Ziona 7403648, Israel
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Omer Barad
- NRGene Ltd., 5 Golda Meir Street, Ness Ziona 7403648, Israel
| | - Kobi Baruch
- NRGene Ltd., 5 Golda Meir Street, Ness Ziona 7403648, Israel
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Andrew G Sharpe
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | - Gil Ben-Zvi
- NRGene Ltd., 5 Golda Meir Street, Ness Ziona 7403648, Israel
| | - Ambre-Aurore Josselin
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | | | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Axel Himmelbach
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - François Balfourier
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Juan Gutierrez-Gonzalez
- Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, St. Paul, MN 55108, USA
| | - Matthew Hayden
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Ambre-Aurore Josselin
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - ChuShin Koh
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | - Gary Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, St. Paul, MN 55108, USA
| | - Raj K Pasam
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Philippe Rigault
- GYDLE, Suite 220, 1135 Grande Allée, Ouest, Québec, QC G1S 1E7, Canada
| | - Andrew G Sharpe
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | - Josquin Tibbits
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Vijay Tiwari
- Plant Science and Landscape Architecture, University of Maryland, 4291 Fieldhouse Road, 2102 Plant Sciences Building, College Park, MD 20742, USA
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Ambre-Aurore Josselin
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | | | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Heidrun Gundlach
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Georg Haberer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Klaus F X Mayer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
| | - Danara Ormanbekova
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,Department of Agricultural Sciences, University of Bologna, Viale Fanin, 44 40127 Bologna, Italy
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Verena Prade
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Hélène Rimbert
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Marius Felder
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Nicolas Guilhot
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Heidrun Gundlach
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Georg Haberer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Jens Keilwagen
- Julius Kühn-Institut, Institute for Biosafety in Plant Biotechnology, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Philippe Leroy
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Thomas Lux
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Klaus F X Mayer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
| | - Sven Twardziok
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Luca Venturini
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK
| | | | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Hélène Rimbert
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Angéla Juhász
- Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia.,Agricultural Institute, MTA Centre for Agricultural Research, Applied Genomics Department, 2 Brunszvik Street, Martonvásár H 2462, Hungary
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Michael Abrouk
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic.,Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Georg Haberer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Klaus F X Mayer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland
| | - Heidrun Gundlach
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Iris Fischer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Cristobal Uauy
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | - Philippa Borrill
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | | | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Dominique Arnaud
- Institut National de la Recherche Agronomique (INRA), 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Smahane Chalabi
- Institut National de la Recherche Agronomique (INRA), 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Boulos Chalhoub
- Monsanto SAS, 28000 Boissay, France.,Institut National de la Recherche Agronomique (INRA), 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Aron Cory
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Raju Datla
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Mark W Davey
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | - Matthew Hayden
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - John Jacobs
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Stephen J Robinson
- Agriculture and Agri-Food Canada, Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, SK S7N 0X2, Canada
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Josquin Tibbits
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Vijay Tiwari
- Plant Science and Landscape Architecture, University of Maryland, 4291 Fieldhouse Road, 2102 Plant Sciences Building, College Park, MD 20742, USA
| | - Fred van Ex
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | - Brande B H Wulff
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | | | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Stephen J Robinson
- Agriculture and Agri-Food Canada, Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, SK S7N 0X2, Canada
| | - Andrew G Sharpe
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | - Aron Cory
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | | | - Moussa Benhamed
- Biology Department, Institute of Plant Sciences-Paris-Saclay, Bâtiment 630, rue de Noetzlin, Plateau du Moulon, CS80004, 91192 Gif-sur-Yvette Cedex, France
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Abdelhafid Bendahmane
- Biology Department, Institute of Plant Sciences-Paris-Saclay, Bâtiment 630, rue de Noetzlin, Plateau du Moulon, CS80004, 91192 Gif-sur-Yvette Cedex, France
| | - Lorenzo Concia
- Biology Department, Institute of Plant Sciences-Paris-Saclay, Bâtiment 630, rue de Noetzlin, Plateau du Moulon, CS80004, 91192 Gif-sur-Yvette Cedex, France
| | - David Latrasse
- Biology Department, Institute of Plant Sciences-Paris-Saclay, Bâtiment 630, rue de Noetzlin, Plateau du Moulon, CS80004, 91192 Gif-sur-Yvette Cedex, France
| | | | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - John Jacobs
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | - Michael Alaux
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Jan Bartoš
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Arnaud Bellec
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Hélène Berges
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Catherine Feuillet
- Bayer CropScience, Crop Science Division, Research and Development, Innovation Centre, 3500 Paramount Parkway, Morrisville, NC 27560, USA
| | - Zeev Frenkel
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | - Bikram Gill
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Abraham Korol
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | | | - Odd-Arne Olsen
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Kuldeep Singh
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Miroslav Valárik
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | | | - Sonia Vautrin
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Song Weining
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | | | - Abraham Korol
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | - Zeev Frenkel
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | - Tzion Fahima
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | | | - Dina Raats
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | | | - Vijay Tiwari
- Plant Science and Landscape Architecture, University of Maryland, 4291 Fieldhouse Road, 2102 Plant Sciences Building, College Park, MD 20742, USA
| | - Bikram Gill
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Jesse Poland
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | | | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jarmila Číhalíková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Helena Toegelová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | | | | | - Benoit Darrier
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | | | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Iris Fischer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Danara Ormanbekova
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,Department of Agricultural Sciences, University of Bologna, Viale Fanin, 44 40127 Bologna, Italy
| | - Verena Prade
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Delfina Barabaschi
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, via S. Protaso, 302, I -29017 Fiorenzuola d'Arda, Italy
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, via S. Protaso, 302, I -29017 Fiorenzuola d'Arda, Italy
| | | | - Pilar Hernandez
- Instituto de Agricultura Sostenible (IAS-CSIC), Consejo Superior de Investigaciones Científicas, Alameda del Obispo s/n, 14004 Córdoba, Spain
| | - Sergio Galvez
- Universidad de Málaga, Lenguajes y Ciencias de la Computación, Campus de Teatinos, 29071 Málaga, Spain
| | - Hikmet Budak
- Plant Sciences and Plant Pathology, Cereal Genomics Lab, Montana State University, 412 Leon Johnson Hall, Bozeman, MT 59717, USA
| | | | | | | | - Kamil Witek
- The Sainsbury Laboratory, Norwich Research Park, Norwich NR4 7UH, UK
| | - Brande B H Wulff
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | - Guotai Yu
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | | | - Ian Small
- School of Molecular Sciences, ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Joanna Melonek
- School of Molecular Sciences, ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Ruonan Zhou
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany
| | | | - Angéla Juhász
- Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia.,Agricultural Institute, MTA Centre for Agricultural Research, Applied Genomics Department, 2 Brunszvik Street, Martonvásár H 2462, Hungary
| | - Tatiana Belova
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Odd-Arne Olsen
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | | | - Kostya Kanyuka
- Rothamsted Research, Biointeractions and Crop Protection, West Common, Harpenden AL5 2JQ, UK
| | - Robert King
- Rothamsted Research, Computational and Analytical Sciences, West Common, Harpenden AL5 2JQ, UK
| | | | - Kirby Nilsen
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Sean Walkowiak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Richard Cuthbert
- Agriculture and Agri-Food Canada, Swift Current Research and Development Centre, Box 1030, Swift Current, SK S9H 3X2, Canada
| | - Raju Datla
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Ron Knox
- Agriculture and Agri-Food Canada, Swift Current Research and Development Centre, Box 1030, Swift Current, SK S9H 3X2, Canada
| | - Krysta Wiebe
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Daoquan Xiang
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | | | - Antje Rohde
- Bayer CropScience, Breeding and Trait Development, Technologiepark 38, 9052 Gent, Belgium
| | - Timothy Golds
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | | | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jana Čížková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Josquin Tibbits
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | | | - Hikmet Budak
- Plant Sciences and Plant Pathology, Cereal Genomics Lab, Montana State University, 412 Leon Johnson Hall, Bozeman, MT 59717, USA
| | - Bala Ani Akpinar
- Plant Sciences and Plant Pathology, Cereal Genomics Lab, Montana State University, 412 Leon Johnson Hall, Bozeman, MT 59717, USA
| | - Sezgi Biyiklioglu
- Plant Sciences and Plant Pathology, Cereal Genomics Lab, Montana State University, 412 Leon Johnson Hall, Bozeman, MT 59717, USA
| | | | - Gary Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, St. Paul, MN 55108, USA
| | - Jesse Poland
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Liangliang Gao
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Juan Gutierrez-Gonzalez
- Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, St. Paul, MN 55108, USA
| | - Amidou N'Daiye
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | | | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jarmila Číhalíková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Marie Kubaláková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jan Šafář
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | | | - Hélène Berges
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Arnaud Bellec
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Sonia Vautrin
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | | | - Michael Alaux
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | | | | | - Raphael Flores
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | - Claire Guerche
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | | | - Mikaël Loaec
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | | | | | | | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Andrew G Sharpe
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada.,University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | | | - Hikmet Budak
- Plant Sciences and Plant Pathology, Cereal Genomics Lab, Montana State University, 412 Leon Johnson Hall, Bozeman, MT 59717, USA
| | - Janet Condie
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Jennifer Ens
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - ChuShin Koh
- University of Saskatchewan, Global Institute for Food Security, 110 Gymnasium Place, Saskatoon, SK S7N 4J8, Canada
| | - Ron Maclachlan
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Yifang Tan
- National Research Council Canada, Aquatic and Crop Resource Development, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland
| | | | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Adriana Alberti
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Jean-Marc Aury
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - François Balfourier
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Valérie Barbe
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Arnaud Couloux
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Corinne Cruaud
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Karine Labadie
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Sophie Mangenot
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France
| | - Patrick Wincker
- CEA-Institut de Biologie François-Jacob, Genoscope, 2 rue Gaston Crémieux, 91057 Evry Cedex, France.,CNRS, UMR 8030, CP5706, 91057 Evry, France.,Université d'Evry, UMR 8030, CP5706, 91057 Evry, France
| | | | - Bikram Gill
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Gaganpreet Kaur
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Mingcheng Luo
- Department of Plant Sciences, University of California, Davis, One Shield Avenue, Davis, CA 95617, USA
| | - Sunish Sehgal
- Agronomy Horticulture and Plant Science, South Dakota State University, 2108 Jackrabbit Drive, Brookings, SD 57006, USA
| | | | - Kuldeep Singh
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Parveen Chhuneja
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Om Prakash Gupta
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Suruchi Jindal
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Parampreet Kaur
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Palvi Malik
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Priti Sharma
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | - Bharat Yadav
- Punjab Agricultural University, Ludhiana, School of Agricultural Biotechnology, ICAR-National Bureau of Plant Genetic Resources, Dev Prakash Shastri Marg, New Delhi 110012, India
| | | | - Nagendra K Singh
- ICAR-National Research Centre on Plant Biotechnology, LBS Building, Pusa Campus, New Delhi 110012, India
| | - JitendraP Khurana
- University of Delhi South Campus, Interdisciplinary Center for Plant Genomics and Department of Plant Molecular Biology, Benito Juarez Road, New Delhi 110021, India
| | - Chanderkant Chaudhary
- University of Delhi South Campus, Interdisciplinary Center for Plant Genomics and Department of Plant Molecular Biology, Benito Juarez Road, New Delhi 110021, India
| | - Paramjit Khurana
- University of Delhi South Campus, Interdisciplinary Center for Plant Genomics and Department of Plant Molecular Biology, Benito Juarez Road, New Delhi 110021, India
| | - Vinod Kumar
- ICAR-National Research Centre on Plant Biotechnology, LBS Building, Pusa Campus, New Delhi 110012, India
| | - Ajay Mahato
- ICAR-National Research Centre on Plant Biotechnology, LBS Building, Pusa Campus, New Delhi 110012, India
| | - Saloni Mathur
- University of Delhi South Campus, Interdisciplinary Center for Plant Genomics and Department of Plant Molecular Biology, Benito Juarez Road, New Delhi 110021, India
| | - Amitha Sevanthi
- ICAR-National Research Centre on Plant Biotechnology, LBS Building, Pusa Campus, New Delhi 110012, India
| | - Naveen Sharma
- University of Delhi South Campus, Interdisciplinary Center for Plant Genomics and Department of Plant Molecular Biology, Benito Juarez Road, New Delhi 110021, India
| | - Ram Sewak Tomar
- ICAR-National Research Centre on Plant Biotechnology, LBS Building, Pusa Campus, New Delhi 110012, India
| | | | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - John Jacobs
- Bayer CropScience, Trait Research, Innovation Center, Technologiepark 38, 9052 Gent, Belgium
| | - Michael Alaux
- URGI, INRA, Université Paris-Saclay, 78026 Versailles, France
| | - Arnaud Bellec
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Hélène Berges
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Catherine Feuillet
- Bayer CropScience, Crop Science Division, Research and Development, Innovation Centre, 3500 Paramount Parkway, Morrisville, NC 27560, USA
| | - Zeev Frenkel
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | - Bikram Gill
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Abraham Korol
- University of Haifa, Institute of Evolution and the Department of Evolutionary and Environmental Biology, 199 Abba-Hushi Avenue, Mount Carmel, Haifa 3498838, Israel
| | | | - Sonia Vautrin
- INRA, CNRGV, chemin de Borde Rouge, CS 52627, 31326 Castanet-Tolosan Cedex, France
| | | | - Bikram Gill
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Gaganpreet Kaur
- Plant Pathology, Throckmorton Hall, Kansas State University, Manhattan, KS 66506, USA
| | - Mingcheng Luo
- Department of Plant Sciences, University of California, Davis, One Shield Avenue, Davis, CA 95617, USA
| | - Sunish Sehgal
- Agronomy Horticulture and Plant Science, South Dakota State University, 2108 Jackrabbit Drive, Brookings, SD 57006, USA
| | | | - Jan Bartoš
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Kateřina Holušová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Ondřej Plíhal
- Department of Molecular Biology, Centre of the Region Haná for Biotechnological and Agricultural Research, Palacký University, Šlechtitelů 27, CZ-78371 Olomouc, Czech Republic
| | | | - Matthew D Clark
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK.,Department of Lifesciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Darren Heavens
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK
| | | | - Jon Wright
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK
| | | | - Miroslav Valárik
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Michael Abrouk
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic.,Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Barbora Balcárková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Kateřina Holušová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Yuqin Hu
- Department of Plant Sciences, University of California, Davis, One Shield Avenue, Davis, CA 95617, USA
| | - Mingcheng Luo
- Department of Plant Sciences, University of California, Davis, One Shield Avenue, Davis, CA 95617, USA
| | | | - Elena Salina
- The Federal Research Center Institute of Cytology and Genetics, SB RAS, pr. Lavrentyeva 10, Novosibirsk 630090, Russia
| | - Nikolai Ravin
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia.,Faculty of Biology, Moscow State University, Leninskie Gory, 1, Moscow 119991, Russia
| | - Konstantin Skryabin
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia.,Faculty of Biology, Moscow State University, Leninskie Gory, 1, Moscow 119991, Russia
| | - Alexey Beletsky
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia
| | - Vitaly Kadnikov
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia
| | - Andrey Mardanov
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia
| | - Michail Nesterov
- The Federal Research Center Institute of Cytology and Genetics, SB RAS, pr. Lavrentyeva 10, Novosibirsk 630090, Russia
| | - Andrey Rakitin
- Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Leninsky Avenue 33, Building 2, Moscow 119071, Russia
| | - Ekaterina Sergeeva
- The Federal Research Center Institute of Cytology and Genetics, SB RAS, pr. Lavrentyeva 10, Novosibirsk 630090, Russia
| | | | - Hirokazu Handa
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Hiroyuki Kanamori
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Satoshi Katagiri
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Fuminori Kobayashi
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shuhei Nasuda
- Graduate School of Agriculture, Kyoto University, Kitashirakawaoiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan
| | - Tsuyoshi Tanaka
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jianzhong Wu
- Institute of Crop Science, NARO, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | | | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Matthew Hayden
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Gabriel Keeble-Gagnère
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | - Philippe Rigault
- GYDLE, Suite 220, 1135 Grande Allée, Ouest, Québec, QC G1S 1E7, Canada
| | - Josquin Tibbits
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia
| | | | - Odd-Arne Olsen
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | - Tatiana Belova
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | | | - Min Jiumeng
- BGI-Shenzhen, BGI Genomics, Building No. 7, BGI Park, No. 21 Hongan 3rd Street, Yantian District, Shenzhen 518083, China
| | - Karl Kugler
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Klaus F X Mayer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
| | - Matthias Pfeifer
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Simen Sandve
- Faculty of Bioscience, Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | - Xu Xun
- BGI-Shenzhen, BGI Genomics, Yantian District, Shenzhen 518083, Guangdong, China
| | - Bujie Zhan
- Faculty of Bioscience, Department of Plant Science, Norwegian University of Life Sciences, Arboretveien 6, 1433 Ås, Norway
| | | | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Michael Abrouk
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic.,Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia
| | - Jacqueline Batley
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA 6009, Australia
| | - Philipp E Bayer
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA 6009, Australia
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA 6009, Australia
| | - Satomi Hayashi
- Queensland University of Technology, Earth, Environmental and Biological Sciences, Brisbane, QLD 4001, Australia
| | - Helena Toegelová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Zuzana Tulpová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Paul Visendi
- University of Greenwich, Natural Resources Institute, Central Avenue, Chatham, Kent ME4 4TB, UK
| | | | - Song Weining
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Licao Cui
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Xianghong Du
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Kewei Feng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Wei Tong
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | - Le Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712101, China
| | | | - Philippa Borrill
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | - Heidrun Gundlach
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Sergio Galvez
- Universidad de Málaga, Lenguajes y Ciencias de la Computación, Campus de Teatinos, 29071 Málaga, Spain
| | | | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Thomas Lux
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Danara Ormanbekova
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.,Department of Agricultural Sciences, University of Bologna, Viale Fanin, 44 40127 Bologna, Italy
| | - Verena Prade
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Cristobal Uauy
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | - Luca Venturini
- Earlham Institute, Core Bioinformatics, Norwich NR4 7UZ, UK
| | | | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany. .,The University of Western Australia (UWA), School of Agriculture and Environment, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Rudi Appels
- AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport, and Resources, 5 Ring Road, La Trobe University, Bundoora, VIC 3083, Australia. .,Murdoch University, Australia-China Centre for Wheat Improvement, School of Veterinary and Life Sciences, 90 South Street, Murdoch, WA 6150, Australia
| | - Kellye Eversole
- International Wheat Genome Sequencing Consortium (IWGSC), 5207 Wyoming Road, Bethesda, MD 20816, USA. .,Eversole Associates, 5207 Wyoming Road, Bethesda, MD 20816, USA
| | - Jane Rogers
- International Wheat Genome Sequencing Consortium (IWGSC), 18 High Street, Little Eversden, Cambridge CB23 1HE, UK
| | - Philippa Borrill
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, via S. Protaso, 302, I -29017 Fiorenzuola d'Arda, Italy
| | - Frédéric Choulet
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Pilar Hernandez
- Instituto de Agricultura Sostenible (IAS-CSIC), Consejo Superior de Investigaciones Científicas, Alameda del Obispo s/n, 14004 Córdoba, Spain
| | - Kostya Kanyuka
- Rothamsted Research, Biointeractions and Crop Protection, West Common, Harpenden AL5 2JQ, UK
| | - Daniel Lang
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Genebank, Corrensstr. 3, 06466 Stadt Seeland, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Kirby Nilsen
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | - Etienne Paux
- GDEC (Genetics, Diversity and Ecophysiology of Cereals), INRA, Université Clermont Auvergne (UCA), 5 chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada
| | | | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371 Olomouc, Czech Republic
| | - Ian Small
- School of Molecular Sciences, ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Manuel Spannagl
- Helmholtz Center Munich, Plant Genome and Systems Biology (PGSB), Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany
| | | | - Cristobal Uauy
- John Innes Centre, Crop Genetics, Norwich Research Park, Norwich NR4 7UH, UK
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