miRNA-27a is essential for bone remodeling by modulating p62-mediated osteoclast signaling

The ability to simultaneously modulate a set of genes for lineage-specific development has made miRNA an ideal master regulator for organogenesis. However, most miRNA deletions do not exhibit obvious phenotypic defects possibly due to functional redundancy. miRNAs are known to regulate skeletal lineages as the loss of their maturation enzyme Dicer impairs bone remodeling processes. Therefore, it is important to identify specific miRNA essential for bone homeostasis. We report the loss of MIR27a causing severe osteoporosis in mice. MIR27a affects osteoclast-mediated bone resorption but not osteoblast-mediated bone formation during skeletal remodeling. Gene profiling and bioinformatics further identify the specific targets of MIR27a in osteoclast cells. MIR27a exerts its effects on osteoclast differentiation through modulation of Squstm1/p62 whose mutations have been linked to Paget's disease of bone. Our findings reveal a new MIR27a-p62 axis necessary and sufficient to mediate osteoclast differentiation and highlight a therapeutic implication for osteoporosis.

POS1234 DMARD DISRUPTION, INCREASED DISEASE ACTIVITY, AND PROLONGED SYMPTOM DURATION AFTER ACUTE COVID-19 AMONG PATIENTS WITH RHEUMATIC DISEASE: A PROSPECTIVE STUDY

Background

Systemic autoimmune rheumatic disease (SARD) patients may be at risk for disease flare and prolonged symptom duration after COVID-19, perhaps related to DMARD disruption and immune activation.

Objectives

To describe DMARD disruption and identify differences in SARD activity among patients with and without prolonged COVID-19 symptom duration.

Methods

We identified all SARD patients with confirmed COVID-19 at the Mass General Brigham healthcare system in Boston, USA; prospective recruitment is ongoing. Surveys were used to collect demographics, clinical characteristics, DMARD disruption, COVID-19 course, and SARD disease activity before and after COVID-19. The survey included validated instruments measuring disease activity, pain, fatigue, functional status, and respiratory quality of life. Prolonged symptom duration was defined as COVID-19 symptoms lasting ≥28 days. We compared differences in patient-reported measures between those with and without prolonged symptoms.

Results

We analyzed survey responses from 174 COVID-19 survivors with SARDs (mean age 52±16 years, 81% female, 80% White). The most common SARDs were RA (40%) and SLE (14%). Fifty-one percent of the 127 respondents on any DMARD reported a disruption to their regimen at COVID-19 onset (Figure 1). Among individual DMARDs, 56-77% were reported to have any change, except for hydroxychloroquine (23%) and rituximab (46%). SARD flare after COVID-19 was reported by 41% of respondents (Table 1). Patient global assessment of SARD activity was worse after COVID-19 (mean 7.6±2.3 before vs. 6.6±2.9 after COVID-19, p<0.001). Prolonged symptom duration was reported by 45% of participants. Those with prolonged symptoms had a higher initial COVID-19 symptom count (median 7 vs. 4, p<0.001) and were more likely to be hospitalized for COVID-19 (28% vs. 17%, p=0.001). Respondents experiencing prolonged symptom duration had higher disease activity on RAPID3 (p=0.007) as well as more pain (p<0.001) and fatigue (p=0.03) compared to those without prolonged symptoms.

Table 1.

Acute COVID-19 course, SARD flare/activity, and patient-reported outcomes among COVID-19 survivors with SARDs.

All COVID-19 survivors with SARDs (n=174)Prolonged symptom duration ≥28 days (n=78)No prolonged symptom duration/(n=96)p-value (prolonged vs. not)Acute COVID-19 courseCOVID-19 symptom duration, days, median [IQR]14 [9, 29]46 [30, 65]11 [7, 14]<0.0001Initial symptom count, median [IQR]6 [3, 8]7 [6, 9]4 [2, 7]<0.001Hospitalized, n (%)38 (22)22 (28)16 (17)0.001SARD flare/activitySelf-reported SARD flare after COVID-19, n (%)71 (41)38 (49)33 (34)0.15Disease activity by RAPID3, median [IQR]9 [4, 14]11.2 [6, 16]7 [3, 13]0.0067RAPID3 categorical score, n (%)0.13Remission (0)11 (7)4 (5)7 (7)Near remission (0.3-1.0)23 (14)5 (7)18 (19)Low severity (1.3-2.0)26 (15)10 (14)16 (17)Moderate severity (2.3-4.0)55 (33)27 (36)28 (29)High severity (4.3-10.0)54 (32)28 (38)26 (27)Patient-reported outcomesPain by SF-MPQ, median [IQR]2 [1, 2]2 [1, 2]1 [0, 2]0.0008Fatigue by FSI, median [IQR]53 [27, 84]66 [31, 91.5]43 [26, 76]0.031mHAQ, median [IQR]0.125 [0, 0.38]0.25 [0, 0.75]0.125 [0, 0.38]0.11Respiratory quality of life by SGRQ, global [IQR]15 [4, 29]16 [4, 36]10 [4, 26]0.49

RAPID3, Routine Assessment of Patient Index Data 3; SF-MPQ, Short-form McGill Pain Questionnaire; FSI, Fatigue Symptom Inventory; mHAQ, modified Health Assessment Questionnaire; SGRQ, Saint George’s Respiratory Questionnaire.

Figure 1.

Frequency of baseline DMARD use and proportion with any disruption at COVID-19 onset.

Conclusion

DMARD disruption, SARD flare, and prolonged symptoms were common in this prospective study of COVID-19 survivors with SARDs. Those with prolonged COVID-19 symptom duration, defined as ≥28 days, had higher SARD activity, more pain, and more fatigue compared to those without prolonged symptoms. These findings suggest that post-acute sequelae of COVID-19 may have a large impact on underlying SARD activity and quality of life.

Disclosure of Interests

Michael Di Iorio: None declared, Claire Cook: None declared, Kathleen Vanni: None declared, Naomi Patel Consultant of: Receives consulting fees from FVC Health unrelated to this work., Kristin D’Silva: None declared, Xiaoqing Fu: None declared, Jiaqi Wang: None declared, Lauren Prisco: None declared, Emily Kowalski: None declared, Alessandra Zaccardelli: None declared, Lily Martin: None declared, Grace Qian: None declared, Tiffany Hsu: None declared, Zachary Wallace Consultant of: Receives consulting fees from Viela Bio, Zenas BioPharma, and MedPace unrelated to this work., Grant/research support from: Receives research support from Bristol-Myers Squibb and Principia/Sanofi., Jeffrey Sparks Consultant of: Receives consultant fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum, and Pfizer unrelated to this work., Grant/research support from: Receives research support from Bristol Myers Squibb.

OP0252 FACTORS ASSOCIATED WITH SEVERE COVID-19 OUTCOMES IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHY: RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE PHYSICIAN-REPORTED REGISTRY

Background

There is a paucity of data in the literature about the outcome of patients with idiopathic inflammatory myopathy (IIM) who have been infected with SARS-CoV-2.

Objectives

To investigate factors associated with severe COVID-19 outcomes in patients with IIM.

Methods

Data on demographics, number of comorbidities, region, COVID-19 time period, physician-reported disease activity, anti-rheumatic medication exposure at the clinical onset of COVID-19, and COVID-19 outcomes of IIM patients were obtained from the voluntary COVID-19 Global Rheumatology Alliance physician-reported registry of adults with rheumatic disease (from 17 March 2020 to 27 August 2021). An ordinal COVID-19 severity scale was used as primary outcome of interest, with each outcome category being mutually exclusive from the other:a) no hospitalization, b) hospitalization (and no death), or c) death. Odds ratios (OR) were estimated using multivariable ordinal logistic regression. In ordinal logistic regression, the effect size of a categorical predictor can be interpreted as the odds of being one level higher on the ordinal COVID-19 severity scale than the reference category.

Results

Complete hospitalization and death outcome data was available in 348 IIM cases. Mean age was 53 years, and 223 (64.1%) were female. Overall, 167/348 (48.0%) people were not hospitalized, 136/348 (39.1%) were hospitalized (and did not die), and 45/348 (12.9%) died. Older age (OR=1.59 per decade of life, 95%CI 1.32-1.93), male sex (OR=1.63, 95%CI 1.004-2.64; versus female), high disease activity (OR=4.05, 95%CI 1.29-12.76; versus remission), presence of two or more comorbidities (OR=2.39, 95%CI 1.22-4.68; versus none), prednisolone-equivalent dose >7.5 mg/day (OR=2.37, 95%CI 1.27-4.44; versus no glucocorticoid intake), and exposure to rituximab (OR=2.60, 95%CI 1.23-5.47; versus csDMARDs only) were associated with worse COVID-19 outcomes (Table 1).

Table 1.

Multivariable logistic regression analysis of factors associated with the ordinal COVID-19 severity outcomes. AZA, azathioprine; CI, confidence interval; combo, combination; CSA, ciclosporin; CYC, cyclophosphamide; DMARD, disease-modifying anti-rheumatic drug; b/tsDMARD, biologic/targeted synthetic DMARD, csDMARD, conventional synthetic DMARD; HCQ, hydroxychloroquine; IVIg, intravenous immunoglobulin; LEF, leflunomide; MMF, mycophenolate mofetil; mono, monotherapy; MTX, methotrexate; OR, odds ratio; Ref, reference; RTX, rituximab; SSZ, sulfasalazine; TAC, tacrolimus.

VariableOR (95%CI)P-valueVariableOR (95%CI)P-valueAge (per decade)1.59 (1.32-1.93)<0.001ComorbiditiesMale sex1.63 (1.004-2.64)0.048NoneRefNAPrednisolone-equivalent doseOne1.46 (0.79-2.72)0.228NoneRefNATwo or more2.39 (1.22-4.68)0.011>0 to 7.5mg/day1.10 (0.57-2.11)0.779Physician-reported disease activity>7.5mg/day2.37 (1.27-4.44)0.007RemissionRefNAIVIg0.41 (0.15-1.16)0.093Low/moderate1.23 (0.67-2.28)0.504DMARDsHigh4.05 (1.29-12.76)0.018csDMARD only (mono or combi - HCQ, MTX, LEF, SSZ)RefNARegionNo DMARD1.84 (0.90-3.75)0.094EuropeRefNAb/tsDMARD mono or combi (except RTX)1.60 (0.49-5.26)0.435North America0.89 (0.49-1.61)0.694CSA/CYC/TAC mono or combi (except RTX or b/tsDMARDs)1.55 (0.52-4.58)0.429Other4.25 (2.21-8.16)<0.001AZA mono1.70 (0.69-4.19)0.249Time periodMMF mono1.22 (0.53-2.82)0.634Before 15 June 2020RefNAAZA/MMF combi (except RTX or b/tsDMARDs)0.71 (0.25-2.00)0.51716 June - 30 September 20200.58 (0.26-1.27)0.171RTX mono or combi2.60 (1.23-5.47)0.012After 1 October 20200.58 (0.35-0.95)0.032

Conclusion

These are the first global registry data on the impact of COVID-19 on IIM patients. Older age, male gender, higher comorbidity burden, higher disease activity, higher glucocorticoid intake and rituximab exposure were associated with worse outcomes. These findings will inform risk stratification and management decisions for IIM patients.

References

None

Disclosure of Interests

Su-Ann Yeoh: None declared, Milena Gianfrancesco: None declared, Saskia Lawson-Tovey: None declared, Kimme Hyrich Speakers bureau: AbbVie unrelated to this work, Grant/research support from: Pfizer, BMS, both unrelated to this work, Anja Strangfeld Speakers bureau: AbbVie, Celltrion, MSD, Janssen, Lilly, Roche, BMS, Pfizer, all unrelated to this work, Laure Gossec Consultant of: AbbVie, Amgen, BMS, Galapagos, Gilead, GSK, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, UCB, all unrelated to this work, Grant/research support from: Amgen, Galapagos, Lilly, Pfizer, Sandoz, all unrelated to this work, Loreto Carmona: None declared, Elsa Mateus Consultant of: Boehringer Ingelheim Portugal, not related to this work, Martin Schaefer: None declared, Christophe Richez Speakers bureau: Abbvie, Amgen, Astra Zeneca, Biogen, BMS, Celltrion, Eli Lilly, Galapagos, GSK, MSD, Novartis, and Pfizer, all unrelated to this abstract, Consultant of: Abbvie, Amgen, Astra Zeneca, Biogen, BMS, Celltrion, Eli Lilly, Galapagos, GSK, MSD, Novartis, and Pfizer, all unrelated to this abstract, Eric Hachulla Speakers bureau: Johnson & Johnson, GlaxoSmithKline, Roche-Chugai, all unrelated to this work, Consultant of: Bayer, Boehringer Ingelheim, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, all unrelated to this work, Grant/research support from: CSL Behring, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, all unrelated to this work, Marie Holmqvist: None declared, Carlo Alberto Scirè Grant/research support from: AbbVie, Lilly, both unrelated to this work, Rebecca Hasseli: None declared, Arundathi Jayatilleke: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Victor Pimentel-Quiroz: None declared, Monica Vasquez del Mercado: None declared, Samuel Katsuyuki Shinjo: None declared, Edgard Reis Neto: None declared, Laurindo Rocha Jr: None declared, Ana Carolina de Oliveira e Silva Montandon Speakers bureau: GSK, not related to this work, Paula Jordan: None declared, Emily Sirotich: None declared, Jonathan Hausmann Speakers bureau: Novartis, Biogen, Pfizer, not related to this work, Consultant of: Novartis, Biogen, Pfizer, not related to this work, Jean Liew Grant/research support from: Pfizer research grant, completed in 2021, not related to this work, Lindsay Jacobsohn: None declared, Monique Gore-Massy Speakers bureau: Aurinia Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, not related to this work, Consultant of: Aurinia Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, not related to this work, Paul Sufka: None declared, Rebecca Grainger Speakers bureau: AbbVie, Janssen, Novartis, Pfizer and Cornerstones, all unrelated to this work, Consultant of: AbbVie, Novartis, both unrelated to this work, Suleman Bhana Shareholder of: Pfizer, Inc, Speakers bureau: AbbVie, Horizon, Novartis, and Pfizer, all unrelated to this work, Consultant of: AbbVie, Horizon, Novartis, and Pfizer, all unrelated to this work, Employee of: Pfizer, Inc, Zachary Wallace: None declared, Philip Robinson Speakers bureau: Abbvie, Janssen, Roche, GSK, Novartis, Lilly, UCB, all unrelated to this work, Paid instructor for: Lilly, unrelated to this work, Consultant of: GSK, Kukdong, Atom Biosciences, UCB, all unrelated to this work, Grant/research support from: Janssen, Pfizer, UCB and Novartis, all unrelated to this work, Jinoos Yazdany Consultant of: Aurinia, Astra Zeneca, Pfizer, all unrelated to this work, Grant/research support from: Astra Zeneca, Gilead, BMS Foundation, all unrelated to this work, Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this work., Consultant of: Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this work.

OP0286 CHARACTERISTICS ASSOCIATED WITH SEVERE COVID-19 OUTCOMES IN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE): RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE (COVID-19 GRA)

Background:

An increased risk of severe COVID-19 outcomes may be seen in patients with autoimmune diseases on moderate to high daily doses of glucocorticoids, as well as in those with comorbidities. However, specific information about COVID-19 outcomes in SLE is scarce.

Objectives:

To determine the characteristics associated with severe COVID-19 outcomes in a multi-national cross-sectional registry of COVID-19 patients with SLE.

Methods:

SLE adult patients from a physician-reported registry of the COVID-19 GRA were studied. Variables collected at COVID-19 diagnosis included age, sex, race/ethnicity, region, comorbidities, disease activity, time period of COVID-19 diagnosis, glucocorticoid (GC) dose, and immunomodulatory therapy. Immunomodulatory therapy was categorized as: antimalarials only, no SLE therapy, traditional immunosuppressive (IS) drug monotherapy, biologics/targeted synthetic IS drug monotherapy, and biologic and traditional IS drug combination therapy. We used an ordinal COVID-19 severity outcome defined as: not hospitalized/hospitalized without supplementary oxygen; hospitalized with non-invasive ventilation; hospitalized with mechanical ventilation/extracorporeal membrane oxygenation; and death. An ordinal logistic regression model was constructed to assess the association between demographic characteristics, comorbidities, medications, disease activity and COVID-19 severity. This assumed that the relationship between each pair of outcome groups is of the same direction and magnitude.

Results:

Of 1069 SLE patients included, 1047 (89.6%) were female, with a mean age of 44.5 (SD: 14.1) years. Patient outcomes included 815 (78.8%) not hospitalized/hospitalized without supplementary oxygen; 116 (11.2) hospitalized with non-invasive ventilation, 25 (2.4%) hospitalized with mechanical ventilation/extracorporeal membrane oxygenation and 78 (7.5%) died. In a multivariate model (n=804), increased age [OR=1.03 (1.01, 1.04)], male sex [OR =1.93 (1.21, 3.08)], COVID-19 diagnosis between June 2020 and January 2021 (OR =1.87 (1.17, 3.00)), no IS drug use [OR =2.29 (1.34, 3.91)], chronic renal disease [OR =2.34 (1.48, 3.70)], cardiovascular disease [OR =1.93 (1.34, 3.91)] and moderate/high disease activity [OR =2.24 (1.46, 3.43)] were associated with more severe COVID-19 outcomes. Compared with no use of GC, patients using GC had a higher odds of poor outcome: 0-5 mg/d, OR =1.98 (1.33, 2.96); 5-10 mg/d, OR =2.88 (1.27, 6.56); >10 mg/d, OR =2.01 (1.26, 3.21) (Table 1).

Table 1.

Characteristics associated with more severe COVID-19 outcomes in SLE. (N=804)

OR (95% CI)Age, years1.03 (1.01, 1.04)Sex, Male1.93 (1.21, 3.08)Race/Ethnicity, Non-White vs White1.47 (0.87, 2.50)RegionEuropeRef.North America0.67 (0.29, 1.54)South America0.67 (0.29, 1.54)Other1.93 (0.85, 4.39)Season, June 16th 2020-January 8th 2021 vs January-June 15th 20201.87 (1.17, 3.00)Glucocorticoids0 mg/dayRef.0-5 mg/day1.98 (1.33, 2.96)5-10 mg/day2.88 (1.27, 6.56)=>10 mg/day2.01 (1.26, 3.21)Medication CategoryAntimalarial onlyRef.No IS drugs2.29 (1.34, 3.91)Traditional IS drugs as monotherapy1.17 (0.77, 1.77)b/ts IS drugs as monotherapy1.00 (0.37, 2.71)Combination of traditional and b/ts IS1.00 (0.55, 1.82)Comorbidity BurdenNumber of Comorbidities (excluding renal and cardiovascular disease)1.39 (0.97, 1.99)Chronic renal disease2.34 (1.48, 3.70)Cardiovascular disease1.93 (1.34, 3.91)Disease Activity, Moderate/ high vs Remission/ low 2.24 (1.46, 3.43)

IS: immunosuppressive. b/ts: biologics/targeted synthetics

Conclusion:

Increased age, male sex, glucocorticoid use, chronic renal disease, cardiovascular disease and moderate/high disease activity at time of COVID-19 diagnosis were associated with more severe COVID-19 outcomes in SLE. Potential limitations include possible selection bias (physician reporting), the cross-sectional nature of the data, and the assumptions underlying the outcomes modelling.

Acknowledgements:

The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance and do not necessarily represent the views of the ACR, EULAR) the UK National Health Service, the National Institute for Health Research (NIHR), or the UK Department of Health, or any other organization.

Disclosure of Interests:

Manuel F. Ugarte-Gil Grant/research support from: Pfizer, Janssen, Graciela S Alarcon: None declared, Andrea Seet: None declared, Zara Izadi: None declared, Cristina Reategui Sokolova: None declared, Ann E Clarke Consultant of: AstraZeneca, BristolMyersSquibb, GlaxoSmithKline, Exagen Diagnostics, Leanna Wise: None declared, Guillermo Pons-Estel: None declared, Maria Jose Santos: None declared, Sasha Bernatsky: None declared, Lauren Mathias: None declared, Nathan Lim: None declared, Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum unrelated to this work., Grant/research support from: Amgen and Bristol-Myers Squibb, Zachary Wallace Consultant of: Viela Bio and MedPace, Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi, Kimme Hyrich Speakers bureau: Abbvie, Grant/research support from: MS, UCB, and Pfizer, Anja Strangfeld Speakers bureau: AbbVie, MSD, Roche, BMS, Pfizer, Grant/research support from: AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB, Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB, Grant/research support from: Lilly, Mylan, Pfizer, Loreto Carmona: None declared, Elsa Mateus Grant/research support from: Pfizer, Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA, Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Patti Katz: None declared, Lindsay Jacobsohn: None declared, Samar Al Emadi: None declared, Emily Gilbert: None declared, Ali Duarte-Garcia: None declared, Maria Valenzuela-Almada: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Philippe Dieudé Consultant of: Boerhinger Ingelheim, Bristol-Myers Squibb, Lilly, Sanofi, Pfizer, Chugai, Roche, Janssen unrelated to this work, Grant/research support from: Bristol-Myers Squibb, Chugaii, Pfizer, unrelated to this work, Elena Nikiphorou: None declared, Vanessa Kronzer: None declared, Namrata Singh: None declared, Beth Wallace: None declared, Akpabio Akpabio: None declared, Ranjeny Thomas: None declared, Suleman Bhana Consultant of: AbbVie, Horizon, Novartis, and Pfizer (all <$10,000) unrelated to this work, Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones, Jonathan Hausmann Consultant of: Novartis, Sobi, Biogen, all unrelated to this work (<$10,000), Jean Liew Grant/research support from: Pfizer outside the submitted work, Emily Sirotich Grant/research support from: Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer based organization whose activities are largely supported by independent grants from pharmaceutical companies, Paul Sufka: None declared, Philip Robinson Speakers bureau: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Consultant of: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000), Milena Gianfrancesco: None declared, Jinoos Yazdany Consultant of: Eli Lilly and AstraZeneca unrelated to this project

OP0288 MACHINE LEARNING ALGORITHMS TO PREDICT COVID-19 ACUTE RESPIRATORY DISTRESS SYNDROME IN PATIENTS WITH RHEUMATIC DISEASES: RESULTS FROM THE GLOBAL RHEUMATOLOGY ALLIANCE PROVIDER REGISTRY

Background:

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening complication of COVID-19 and has been reported in approximately one-third of hospitalized patients with COVID-191. Risk factors associated with the development of ARDS include older age and diabetes2. However, little is known about factors associated with ARDS in the setting of COVID-19, in patients with rheumatic disease or those receiving immunosuppressive medications. Prediction algorithms using traditional regression methods perform poorly with rare outcomes, often yielding high specificity but very low sensitivity. Machine learning algorithms optimized for rare events are an alternative approach with potentially improved sensitivity for rare events, such as ARDS in COVID-19 among patients with rheumatic disease.

Objectives:

We aimed to develop a prediction model for ARDS in people with COVID-19 and pre-existing rheumatic disease using a series of machine learning algorithms and to identify risk factors associated with ARDS in this population.

Methods:

We used data from the COVID-19 Global Rheumatology Alliance (GRA) Registry from March 24 to Nov 1, 2020. ARDS diagnosis was indicated by the reporting clinician. Five machine learning algorithms optimized for rare events predicted ARDS using 42 variables covering patient demographics, rheumatic disease diagnoses, medications used at the time of COVID-19 diagnosis, and comorbidities. Model performance was assessed using accuracy, area under curve, sensitivity, specificity, positive predictive value, and negative predictive value. Adjusted odds ratios corresponding to the 10 most influential predictors from the best performing model were derived using hierarchical multivariate mixed-effects logistic regression that accounted for within-country correlations.

Results:

A total of 5,931 COVID-19 cases from 67 countries were included in the analysis. Mean (SD) age was 54.9 (16.0) years, 4,152 (70.0%) were female, and 2,399 (40.5%) were hospitalized. ARDS was reported in 388 (6.5% of total and 15.6% of hospitalized) cases. Statistically significant differences in the risk of ARDS were observed by demographics, diagnoses, medications, and comorbidities using unadjusted univariate comparisons (data not shown). Gradient boosting machine (GBM) had the highest sensitivity (0.81) and was considered the best performing model (Table 1). Hypertension, interstitial lung disease, kidney disease, diabetes, older age, glucocorticoids, and anti-CD20 monoclonal antibodies were associated with the development of ARDS while tumor necrosis factor inhibitors were associated with a protective effect (Figure 1).

Table 1.

Performance of machine learning algorithms.

GBMSVMGLMNETNNETRFAccuracy0.790.680.660.660.67AUC0.750.700.740.580.74Sensitivity0.810.680.650.680.67Specificity0.490.600.730.480.68PPV0.960.960.970.950.97NPV0.160.120.130.090.13

GBM: Gradient Boosting Machine, SVM: Support vector machines, GLMNET: Lasso and Elastic-Net Regularized Generalized Linear Models, NNET: Neural Networks, RF: Random Forest. AUC: Area Under Curve; PPV: Positive Predictive Value; NPV: Negative Predictive Value.

Conclusion:

In this global cohort of patients with rheumatic disease, a machine learning model, GBM, predicted the onset of ARDS with 81% sensitivity using baseline information obtained at the time of COVID-19 diagnosis. These results identify patients who may be at higher risk of severe COVID-19 outcomes. Further studies are necessary to validate the proposed prediction model in external cohorts and to evaluate its clinical utility. Disclaimer: The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance, and do not necessarily represent the views of the ACR, NIH, (UK) NHS, NIHR, or the department of Health.

References:

[1]Tzotzos SJ, Fischer B, Fischer H, Zeitlinger M. 2020;24(1):516.

[2]Wu C, Chen X, Cai Y, et al. JAMA Intern Med. 2020;180(7):934-943.

Acknowledgements:

The COVID-19 Global Rheumatology Alliance.

Disclosure of Interests:

Zara Izadi: None declared, Milena Gianfrancesco: None declared, Kimme Hyrich Speakers bureau: Abbvie and grant income from BMS, UCB, and Pfizer, all unrelated to this study., Anja Strangfeld Speakers bureau: AbbVie, MSD, Roche, BMS, Pfizer, outside the submitted work., Grant/research support from: A consortium of 13 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB) supporting the German RABBIT register., Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB., Grant/research support from: Lilly, Mylan, Pfizer, all unrelated to this study., Loreto Carmona Consultant of: Loreto Carmona’s institute works by contract for laboratories among other institutions, such as Abbvie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España, S.A., Novartis, Farmaceutica, Pfizer, Roche Farma, Sanofi Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal GmbH, and UCB Pharma., Elsa Mateus Grant/research support from: LPCDR received grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA and Pfizer., Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Lindsay Jacobsohn: None declared, Patti Katz: None declared, Samar Al Emadi: None declared, Leanna Wise: None declared, Emily Gilbert: None declared, Maria Valenzuela-Almada: None declared, Ali Duarte-Garcia: None declared, Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum unrelated to this work., Grant/research support from: Amgen and Bristol-Myers Squibb., Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Suleman Bhana Employee of: Suleman Bhana reports non-branded marketing campaigns for Novartis (<$10,000)., Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones and travel assistance from Pfizer (all < $10,000)., Jonathan Hausmann Consultant of: Novartis, unrelated to this work (<$10,000)., Jean Liew Grant/research support from: Pfizer, outside the submitted work., Emily Sirotich Grant/research support from: Emily Sirotich is a Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer-based organization whose activities are largely supported by independent grants from pharmaceutical companies., Paul Sufka: None declared, Zachary Wallace Consultant of: Viela Bio and MedPace, outside the submitted work., Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi., Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Philip Robinson Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB and travel assistance from Roche (all < $10,000)., Jinoos Yazdany Consultant of: Eli Lilly and Astra Zeneca, unrelated to this project.

POS1174 HYPERINFLAMMATION AND CLINICAL OUTCOMES FOR PATIENTS WITH SYSTEMIC RHEUMATIC DISEASES HOSPITALIZED FOR COVID-19: A COMPARATIVE COHORT STUDY

Background:

COVID-19 can induce a hyperinflammatory state resulting in cytokine storm, which can lead to poor outcomes. Patients with systemic rheumatic diseases may be at increased risk for respiratory failure with COVID-19. Therefore, we investigated the relationship between rheumatic disease, hyperinflammation, and clinical outcomes among hospitalized COVID-19 patients.

Objectives:

To compare laboratory values, hyperinflammation, and clinical outcomes of hospitalized COVID-19 rheumatic patients and matched comparators.

Methods:

We performed a comparative cohort study of patients with polymerase chain reaction (PCR)-confirmed COVID-19 requiring hospitalization between 3/1/20-7/7/20 at a large health care system. We compared each systemic rheumatic disease case to up to 5 matched (by age, sex, and date of +SARS-CoV-2 PCR) comparators without systemic rheumatic disease. We extracted laboratory values from their hospitalization to compare peaks/troughs of individual laboratory results by case status and derived the COVID-19-associated hyperinflammation score (cHIS), a composite of 6 laboratory domains (0-6, ≥2 indicating hyperinflammation), as previously developed1. We used multivariable logistic regression to estimate ORs for COVID-19 outcomes by hyperinflammation and case status.

Results:

We identified 57 hospitalized rheumatic disease cases (mean age 67 years, 67% female) and 232 matched comparators hospitalized with PCR-confirmed COVID-19. Among cases, 26 (46%) had rheumatoid arthritis and 14 (25%) had systemic lupus erythematosus. Most cases (34, 60%) had active rheumatic disease. At baseline, 15 (27%) of cases were treated with biologic DMARDs, and 32 (56%) were using glucocorticoids. We analyzed 39,900 total laboratory results (median 85 per patient). Cases had higher peak neutrophil-to-lymphocyte ratio (9.6 vs 7.8, p=0.02), LDH (421 vs 345 U/L, p=0.04), creatinine (1.2 vs 1.0 mg/dL, p=0.01), and BUN (31 vs 23 mg/dL, p=0.03) than comparators but similar peak CRP (149 vs 116 mg/L, p=0.11, Figure 1). Cases had higher peak median cHIS (3 vs 2, p=0.01). Peak cHIS ≥2 had higher odds of intensive care unit (ICU) admission (OR 3.45, 95%CI 1.98-5.99), mechanical ventilation (OR 66.0, 95%CI 9.0-487.8), and mortality (OR 16.4, 95%CI 4.8-56.4) compared to cHIS <2 (Table 1). Cases had increased risk of ICU admission (OR 2.0, 95%CI 1.1-3.7) and mechanical ventilation (OR 2.7, 95%CI 1.4-5.2) than comparators.

Table 1.

Associations of peak cHIS and systemic rheumatic disease with COVID-19 hospitalization outcomes

Intensive care unit admissionMechanical ventilationDeath%Adjusted OR (95%CI)%Adjusted OR (95%CI)%Adjusted OR (95%CI)Hospitalization outcomes by hyperinflammation on cHIS1cHIS <2 (n=112)21%1.0 (Ref)1%1.0 (Ref)3%1.0 (Ref)cHIS ≥2 (n=177)48%3.5 (2.0-6.0)37%66.2 (9.0-487.8)27%16.4 (4.8-56.4)Hospitalization outcomes by rheumatic disease statusComparators (n=232)30%1.0 (Ref)19%1.0 (Ref)16%1.0 (Ref)Rheumatic cases (n=57)51%1.87 (1.03-3.40)39%2.46 (1.30-4.67)21%1.32 (0.61-2.88)

Matching factors: age, sex, and date of +PCR.

1Adjusted for age, sex, and case status.

2Adjusted for race, smoking, comorbidities, and body mass index.

cHIS, COVID-19-associated hyperinflammation score; CI, confidence interval; OR, odds ratio; PCR, polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Conclusion:

Patients with systemic rheumatic disease hospitalized for COVID-19 had higher risk for hyperinflammation, kidney injury, and mechanical ventilation than non-rheumatic comparators. We validated the cHIS in our cohort, which was strongly associated with poor COVID-19 outcomes. These findings highlight that hospitalized patients with rheumatic diseases may be vulnerable to poor COVID-19 outcomes.

References:

[1]Webb BJ et al. Clinical criteria for COVID-19-associated hyperinflammatory syndrome. Lancet Rheumatol. 2020 Dec;2(12):e754-e763.

Disclosure of Interests:

Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Jiaqi Wang: None declared, Alisa Mueller: None declared, Xiaoqing Fu: None declared, Lauren Prisco: None declared, Lily Martin: None declared, Kathleen Vanni: None declared, Alessandra Zaccardelli: None declared, Claire Cook: None declared, Hyon Choi Consultant of: Dr. Choi reports consultancy fees from Takeda, Selecta, GlaxoSmithKline, and Horizon, Grant/research support from: Dr. Choi reports research support from AstraZeneca., Yuqing Zhang: None declared, Ellen Gravallese: None declared, Zachary Wallace Consultant of: Dr. Wallace reports consulting fees from Viela Bio and MedPace., Grant/research support from: Dr. Wallace reports research support from Bristol-Myers Squibb and Principia., Jeffrey Sparks Consultant of: Dr. Sparks reports consultancy fees from Bristol-Myers Squibb, Gilead, Inova, Janssen, Optum, and Pfizer., Grant/research support from: Dr. Sparks reports research support from Amgen and Bristol-Myers Squibb.

OP0006 ASSOCIATIONS OF BASELINE USE OF BIOLOGIC OR TARGETED SYNTHETIC DMARDS WITH COVID-19 SEVERITY IN RHEUMATOID ARTHRITIS: RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE

Background:

Targeted DMARDs may dampen the inflammatory response in COVID-19, perhaps leading to a less severe clinical course. However, some DMARD targets may impair viral immune defenses. Due to sample size limitations, previous studies of DMARD use and COVID-19 outcomes have combined several heterogeneous rheumatic diseases and medications, investigating a single outcome (e.g., hospitalization).

Objectives:

To investigate the associations of baseline use of biologic or targeted synthetic (b/ts) DMARDs with a range of poor COVID-19 outcomes in rheumatoid arthritis (RA).

Methods:

We analyzed voluntarily reported cases of COVID-19 in patients with rheumatic diseases in the COVID-19 Global Rheumatology Alliance physician registry (March 12, 2020 - January 6, 2021). We investigated RA treated with b/tsDMARD at the clinical onset of COVID-19 (baseline): abatacept (ABA), rituximab (RTX), Janus kinase inhibitors (JAK), interleukin-6 inhibitors (IL6i), or tumor necrosis factor inhibitors (TNFi). The outcome was an ordinal scale (1-4) for COVID-19 severity: 1) no hospitalization, 2) hospitalization without oxygen need, 3) hospitalization with any oxygen need or ventilation, or 4) death. Baseline covariates including age, sex, smoking, obesity, comorbidities (e.g., cardiovascular disease, cancer, interstitial lung disease [ILD]), concomitant non-biologic DMARD use, glucocorticoid use/dose, RA disease activity, country, and calendar time were used to estimate propensity scores (PS) for b/tsDMARD. The primary analysis used PS matching to compare each drug class to TNFi. Ordinal logistic regression estimated ORs for the COVID-19 severity outcome. In a sensitivity analysis, we used traditional multivariable ordinal logistic regression adjusting for covariates without matching.

Results:

Of the 1,673 patients with RA on b/tsDMARDs at the onset of COVID-19, (mean age 56.7 years, 79.6% female) there were n=154 on ABA, n=224 on RTX, n=306 on JAK, n=180 on IL6i, and n=809 on TNFi. Overall, 498 (34.3%) were hospitalized and 112 (6.7%) died. Among all patients, 353 (25.3%) were ever smokers, 197 (11.8%) were obese, 462 (27.6%) were on glucocorticoids, 1,002 (59.8%) were on concomitant DMARDs, and 299 (21.7%) had moderate/high RA disease activity. RTX users were more likely than TNFi users to have ILD (11.6% vs. 1.7%) and history of cancer (7.1% vs. 2.0%); JAK users were more likely than TNFi users to be obese (17.3% vs. 9.0%). After propensity score matching, RTX was strongly associated with greater odds of having a worse outcome compared to TNFi (OR 3.80, 95% CI 2.47, 5.85; Figure). Among RTX users, 42 (18.8%) died compared to 27 (3.3%) of TNFi users (Table). JAK use was also associated with greater odds of having a worse COVID-19 severity (OR 1.52, 95%CI 1.02, 2.28). ABA or IL6i use were not associated with COVID-19 severity compared to TNFi. Results were similar in the sensitivity analysis and after excluding cancer or ILD.

Table 1.

Frequencies for the ordinal COVID-19 severity outcome for patients with RA on biologic or targeted synthetic DMARDs (n=1673).

COVID-19 outcomes by severity scale (n,%)ABAn=154RTXn=224JAKn=306IL6in=180TNFi n=8091)Not hospitalized113 (73.3%)121 (54.0%)220 (71.9%)150 (83.3%)666 (82.3%)2)Hospitalization without oxygenation10 (6.5%)14 (6.2%)11 (3.6%)9 (5.0%)53 (6.5%)3)Hospitalization with any oxygenation or ventilation16 (10.4%)47 (21.0%)52 (17.0%)16 (8.9%)63 (7.8%)4)Death15 (9.7%)42 (18.8%)23 (7.5%)5 (2.8%)27 (3.3%)

Conclusion:

In this large global registry of patients with RA and COVID-19, baseline use of RTX or JAK was associated with worse severity of COVID-19 compared to TNFi use. The very elevated odds for poor COVID-19 outcomes in RTX users highlights the urgent need for risk-mitigation strategies, such as the optimal timing of vaccination. The novel association of JAK with poor COVID-19 outcomes requires replication.

Acknowledgements:

The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance and do not necessarily represent the views of the ACR, EULAR, the UK National Health Service, the National Institute for Health Research, the UK Department of Health, or any other organization.

Disclosure of Interests:

Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum, unrelated to this work, Grant/research support from: Amgen and Bristol-Myers Squibb, unrelated to this work, Zachary Wallace Consultant of: Viela Bio and MedPace, outside the submitted work., Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi, Andrea Seet: None declared, Milena Gianfrancesco: None declared, Zara Izadi: None declared, Kimme Hyrich Speakers bureau: Abbvie unrelated to this study, Grant/research support from: BMS, UCB, and Pfizer, all unrelated to this study, Anja Strangfeld Paid instructor for: AbbVie, MSD, Roche, BMS, Pfizer, outside the submitted work, Grant/research support from: grants from a consortium of 13 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB) supporting the German RABBIT register, outside the submitted work, Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB, unrelated to this study, Grant/research support from: Lilly, Mylan, Pfizer, all unrelated to this study, Loreto Carmona: None declared, Elsa Mateus Grant/research support from: grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA; grants and non-financial support from Pfizer, outside the submitted work, Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Patti Katz: None declared, Lindsay Jacobsohn: None declared, Samar Al Emadi: None declared, Leanna Wise: None declared, Emily Gilbert: None declared, Ali Duarte-Garcia: None declared, Maria Valenzuela-Almada: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Philippe Dieudé Consultant of: Boerhinger Ingelheim, Bristol-Myers Squibb, Lilly, Sanofi, Pfizer, Chugai, Roche, Janssen unrelated to this work, Grant/research support from: Bristol-Myers Squibb, Chugaii, Pfizer, unrelated to this work, Elena Nikiphorou: None declared, Vanessa Kronzer: None declared, Namrata Singh: None declared, Manuel F. Ugarte-Gil Grant/research support from: Janssen and Pfizer, Beth Wallace: None declared, Akpabio Akpabio: None declared, Ranjeny Thomas: None declared, Suleman Bhana Consultant of: AbbVie, Horizon, Novartis, and Pfizer (all <$10,000) unrelated to this work, Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones, Jonathan Hausmann Consultant of: Novartis, Sobi, Biogen, all unrelated to this work (<$10,000), Jean Liew Grant/research support from: Yes, I have received research funding from Pfizer outside the submitted work., Emily Sirotich Grant/research support from: Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer based organization whose activities are largely supported by independent grants from pharmaceutical companies, Paul Sufka: None declared, Philip Robinson Speakers bureau: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Pedro Machado Speakers bureau: Yes, I have received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Consultant of: Yes, I have received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Jinoos Yazdany Consultant of: Eli Lilly and AstraZeneca unrelated to this project

Implementing changes to a residency program curriculum before competency-based medical education: a survey of Canadian medical oncology program directors

Background

Postgraduate medical education is undergoing a paradigm shift in many universities worldwide, transitioning from a time-based model to competency-based medical education (cbme). Residency programs might have to alter clinical rotations, educational curricula, assessment methods, and faculty involvement in preparation for cbme, a process not yet characterized in the literature.

Methods

We surveyed Canadian medical oncology program directors on planned or newly implemented residency program changes in preparation for cbme.

Results

Prior to implementing cbme, all program directors changed at least 1 clinical rotation, most commonly making hematology/oncology (74%) entirely outpatient and eliminating radiation oncology (64%). Introductory rotations were altered to focus on common tumour sites, and later rotations were changed to increase learner autonomy. Most program directors planned to enhance resident learning with electronic teaching modules (79%), new training experiences (71%), and academic half-day changes (50%). Most program directors (64%) planned to change assessment methods to be entirely based on entrustable professional activities. All programs had developed a competence committee to review learner progress, and most (86%) had integrated academic coaches.

Conclusions

Transitioning to cbme led to major structural and curricular changes within medical oncology training programs. Identifying these commonly implemented changes could help other programs transition to cbme.

A randomized trial of individualized versus standard of care antiemetic therapy for breast cancer patients at high risk for chemotherapy-induced nausea and vomiting

Purpose

Despite triple antiemetic therapy use for breast cancer patients receiving emetogenic chemotherapy, nausea remains a clinical challenge. We evaluated adding olanzapine (5 mg) to triple therapy on nausea control in patients at high personal risk of chemotherapy-induced nausea and vomiting (CINV).

Methods

This multi-centre, placebo-controlled, double-blind trial randomized breast cancer patients scheduled to receive neo/adjuvant chemotherapy with anthracycline-cyclophosphamide or platinum-based chemotherapy to olanzapine (5 mg, days 1–4) or placebo. Primary endpoint was frequency of self-reported significant nausea, repeated for all cycles of chemotherapy. Secondary endpoints included: duration of nausea, overall total control of CINV, Health Related Quality of Life (HRQoL) using FLIE questionnaire, use of rescue mediation and treatment-related adverse events.

Results

218 eligible patients were randomised to placebo (105) or olanzapine (113). From days 0–5 following each cycle of chemotherapy, 41.3% (95%CI: 36.1–46.7%) of patients in the placebo group reported significant nausea compared to 27.7% (95%CI: 23.2–32.4%) in the olanzapine group (p = 0.001). Across all cycles of chemotherapy, patients receiving olanzapine experienced a statistically significant improvement in HRQoL (p < 0.001). Grade 1/2 sedation was the most commonly side effect reported at 40.8% in the placebo group vs. 54.1% with olanzapine (p < 0.001).

Conclusion

In patients at high personal risk of CINV, the addition of olanzapine 5 mg daily to standard antiemetic therapy significantly improves the control of nausea, HRQoL, with no unexpected toxicities.

•

Double-blind trial evaluated the addition of olanzapine to triple therapy in patients at high personal risk of CINV.

•

Adding 5 mg olanzapine was associated with significantly improved nausea control with no unexpected toxicities.

•

Olanzapine plus triple therapy should be considered standard of care for breast cancer patients at high risk of CINV.

The requirement of SUMO2/3 for SENP2 mediated extraembryonic and embryonic development

Small ubiquitin‐related modifier (SUMO)‐specific protease 2 (SENP2) is essential for the development of healthy placenta. The loss of SENP2 causes severe placental deficiencies and leads to embryonic death that is associated with heart and brain deformities. However, tissue‐specific disruption of SENP2 demonstrates its dispensable role in embryogenesis and the embryonic defects are secondary to placental insufficiency. SENP2 regulates SUMO1 modification of Mdm2, which controls p53 activities critical for trophoblast cell proliferation and differentiation. Here we use genetic analyses to examine the involvement of SUMO2 and SUMO3 for SENP2‐mediated placentation. The results indicate that hyper‐SUMOylation caused by SENP2 deficiency can be compensated by reducing the level of SUMO modifiers. The placental deficiencies caused by the loss of SENP2 can be alleviated by the inactivation of gene encoding SUMO2 or SUMO3. Our findings demonstrate that SENP2 genetically interacts with SUMO2 and SUMO3 pivotal for the development of three major trophoblast layers. The alleviation of placental defects in the SENP2 knockouts further leads to the proper formation of the heart structures, including atrioventricular cushion and myocardium. SUMO2 and SUMO3 modifications regulate placentation and organogenesis mediated by SENP2.

Genetic analyses reveal that hyper sumoylation caused by SENP2 deficiency can be compensated by reducing the level of SUMO modifiers. The placental deficiencies caused by the loss of SENP2 can be alleviated by the inactivation of gene encoding SUMO2 or SUMO3. SENP2 genetically interacts with SUMO2 and SUMO3 pivotal for the development of three major trophoblast layers. The alleviation of placental defects in the SENP2 knockouts further leads to the proper formation of the heart structures, including atrioventricular cushion and myocardium. Protein modification by SUMO2 and SUMO3 is essential for SENP2‐mediated placentation and organogenesis.

Never too old to learn new tricks: surveying Canadian health care professionals about learning needs in caring for older adults with cancer

Cancer is the leading cause of death in Canada [...]

Real-life treatment of metastatic colorectal cancer with regorafenib: a single-centre review

BACKGROUND

Various tyrosine kinase signalling pathways affect the development and progression of colorectal cancer (crc). In clinical trials, regorafenib has been associated with a survival benefit in metastatic crc (mcrc). We assessed the safety and efficacy of regorafenib in real-world patients.

METHODS

In a retrospective review of patients with mcrc treated with regorafenib at our institution from 2013 to 2015, patient demographics, treatment, and survival data were collected. Progression-free survival (pfs) and overall survival (os) were estimated using the Kaplan-Meier method.

RESULTS

In total, 48 patients were offered regorafenib, and 35 (73%) started treatment. Of the patients who started regorafenib, 57% were men. Median age in the cohort was 61 years, and all patients had a performance status in the range 0-2. Time from diagnosis of mcrc to regorafenib treatment was more than 18 months in 71% of patients. Starting dose was 160 mg in 54% of the patients, 120 mg in 40%, and 80 mg in 6%. Dose reductions occurred in 34% of the patients, and interruptions, in 29%. Best response was progressive disease (60%) and stable disease (17%); response in the rest of the patients was unknown. The most common adverse events on regorafenib (any grade) were fatigue (57%), hyperbilirubinemia (43%), thrombocytopenia (37%), anorexia (31%), and hypertension (31%). The most common grade 3 or 4 adverse events were fatigue (29%), hypophosphatemia (17%), weight loss (11%), and hyperbilirubinemia (9%). Common reasons for discontinuing regorafenib included progressive disease (51%) and toxicity (26%). In patients treated with regorafenib, pfs was 2.4 months (95% confidence interval: 1.8 to 3.3 months) and os was 5.6 months (95% confidence interval: 3.7 to 8.9 months). No factors were associated with survival in univariate or multivariate analysis.

CONCLUSIONS

In a real-world setting, regorafenib is associated with survival similar to that reported in the randomized controlled trials, but at the expense of toxicity leading to discontinuation in many patients. Future studies of regorafenib should focus on identifying the patients most likely to benefit and on minimizing toxicity.

Meeting the Needs of the Aging Population: The Canadian Network on Aging and Cancer—Report on the First Network Meeting, 27 April 2016

The aging of the Canadian population represents the major risk factor for a projected increase in cancer incidence in the coming decades. However, the evidence base to guide management of older adults with cancer remains extremely limited. It is thus imperative that we develop a national research agenda and establish a national collaborative network to devise joint studies that will help to accelerate the development of high-quality research, education, and clinical care and thus better address the needs of older Canadians with cancer. To begin this process, the inaugural meeting of the Canadian Network on Aging and Cancer was held in Toronto, 27 April 2016. The meeting was attended by 51 invited researchers and clinicians from across Canada, as well as by international leaders in geriatric oncology from the United States and France. The objectives of the meeting were to (1) review the present landscape of education, clinical care, and research in the area of cancer and aging in Canada; (2) identify issues of high research priority in Canada within the field of cancer and aging; (3) identify current barriers to geriatric oncology research in Canada and develop potential solutions; (4) develop a Canadian collaborative multidisciplinary research network between investigators to improve health outcomes for older adults with cancer; (5) learn from successful international efforts to stimulate the geriatric oncology research agenda in Canada. In the present report, we describe the education, clinical care, and research priorities that were identified at the meeting.

Eastern Canadian Gastrointestinal Cancer Consensus Conference 2016

The annual Eastern Canadian Gastrointestinal Cancer Consensus Conference 2016 was held in Montreal, Quebec, 5-7 February. Experts in radiation oncology, medical oncology, surgical oncology, and infectious diseases involved in the management of patients with gastrointestinal malignancies participated in presentations and discussion sessions for the purpose of developing the recommendations presented here. This consensus statement addresses multiple topics: ■ Follow-up and survivorship of patients with resected colorectal cancer■ Indications for liver metastasectomy■ Treatment of oligometastases by stereotactic body radiation therapy■ Treatment of borderline resectable and unresectable pancreatic cancer■ Transarterial chemoembolization in hepatocellular carcinoma■ Infectious complications of antineoplastic agents.

Pilot of three objective markers of physical health and chemotherapy toxicity in older adults

BACKGROUND

Patient function is a key part of the clinical decision to offer chemotherapy and has, in earlier studies, been associated with chemotherapy toxicity. Objective testing might be more accurate than patient-reported or physician-assessed physical function, and thus might be a stronger predictor of chemotherapy toxicity in older adults.

METHODS

Patients, 70 years of age and older, with thoracic or colorectal cancer were recruited. Three physical tests were performed before commencement of a new line of chemotherapy: grip strength, 4-m walk test, and the Timed Up and Go (tug). Our pilot study explored the association between those tests and chemotherapy toxicity.

RESULTS

The 24 patients recruited had a median age of 74.5 years (range: 70-84 years), and 54.2% had an Eastern Cooperative Oncology Group performance status of 0 or 1. Median score on the Charlson comorbidity index was 1 (range: 0-4). Almost two thirds had metastatic disease, 70% were chemonaïve, and 83.3% were about to receive polychemotherapy. Patients had a mean tug of 13.2 ± 5.7 s and a mean gait speed of 0.74 ± 0.24 m/s; 50% had a grip strength test in the lowest 20th percentile. Grades 3-5 chemotherapy toxicities occurred in 34.7% of the patients; two thirds required a dose reduction or delay; and one third discontinued chemotherapy because of toxicity. Hospitalization attributable to chemotherapy was uncommon (12.5%). A trend toward increased severe chemotherapy toxicity with slower gait speed was observed (p = 0.049).

CONCLUSIONS

Abnormalities in objective markers of physical function are common in older adults with cancer, even in those deemed fit for chemotherapy. However, those abnormalities were not associated with an increased likelihood of chemotherapy toxicity in the population included in this small pilot study.

Oncology education in Canadian undergraduate and postgraduate medical programs: a survey of educators and learners

BACKGROUND

The oncology education framework currently in use in Canadian medical training programs is unknown, and the needs of learners have not been fully assessed to determine whether they are adequately prepared to manage patients with cancer.

METHODS

To assess the oncology education framework currently in use at Canadian medical schools and residency training programs for family (fm) and internal medicine (im), and to evaluate opinions about the content and utility of standard oncology education objectives, a Web survey was designed and sent to educators and learners. The survey recipients included undergraduate medical education curriculum committee members (umeccms), directors of fm and im programs, oncologists, medical students, and fm and im residents.

RESULTS

Survey responses were received from 677 educators and learners. Oncology education was felt to be inadequate in their respective programs by 58% of umeccms, 57% of fm program directors, and 50% of im program directors. For learners, oncology education was thought to be inadequate by 67% of medical students, 86% of fm residents, and 63% of im residents. When comparing teaching of medical subspecialty-related diseases, all groups agreed that their trainees were least prepared to manage patients with cancer. A standard set of oncology objectives was thought to be possibly or definitely useful for undergraduate learners by 59% of respondents overall and by 61% of postgraduate learners.

CONCLUSIONS

Oncology education in Canadian undergraduate and postgraduate fm and im training programs are currently thought to be inadequate by a majority of educators and learners. Developing a standard set of oncology objectives might address the needs of learners.

Abstract P1-09-04: Use of adjuvant chemotherapy and outcomes in women 70 years and older with HER-2 positive or triple negative breast cancer

Background: Chemotherapy use decreases with increasing age. There is a stronger rationale for adjuvant chemotherapy in HER-2 positive (HER2+) and triple negative (TN) breast cancer (BC) due to a higher risk of recurrence, known benefit of trastuzumab with chemotherapy and lack of other systemic options.

Aims: 1) Compare outcomes of resected HER2+ and TN BC in older women (age ≥70) (OW) vs. younger women (age 50-69) (YW) 2) Determine chemotherapy use in OW vs. YW 3) Explore factors associated with chemotherapy use in women with HER2+ and TN BC and determine how these factors differ by age group (OW vs. YW)

Methods: Women ≥50 years old with newly diagnosed resected HER2+ or TN stage I-III BC in British Columbia from 2003-2006 were included. Data on comorbidity, performance status, and reason for no chemotherapy was gathered via chart review of OW. Kaplan-Meier curves for relapse-free survival (RFS), breast cancer-specific survival (BCSS) and overall survival (OS) were calculated. Logistic regression was used to model the likelihood of receiving chemotherapy and Cox proportional hazards was used to model BCSS and OS.

Results: OW (n = 292) had larger tumors (p = 0.002), more often had mastectomy and less often had adjuvant radiation (p&lt;0.001) than YW (n = 946). There were no differences in nodal or receptor status.

OW vs. YW were less likely to receive chemotherapy (28.1 vs. 81.3%, p&lt;0.001); odds decreased with increasing age (OR 15.9 and 7.4 for women age 50-59 and 60-69 vs. ≥70, p&lt;0.001). Odds of receiving chemotherapy were higher in women with HER2+, ER/PR negative tumours than those with HER2+, ER/PR positive (OR 2.2) and TN tumours (OR 1.7) (p = 0.004). Some factors associated with chemotherapy use differed between YW and OW: tumour size (T2 vs. T1, OR 2.6, p = 0.059) and grade (high grade vs. low grade, OR 6.5, p = 0.02) were only associated with chemotherapy use in YW. OW with more comorbid conditions (CCI≥2) were less likely to receive chemotherapy than those with zero or one comorbid condition (OR 5.0 and 2.7 respectively, p = 0.009).

In OW, reasons cited for not administering chemotherapy included: patient refusal (45.2%), patient age (38.1%), perceived minimal benefit (36.7%), patient comorbidity (28.6%), and concern about chemotherapy toxicity (28.6%). Chemotherapy was not mentioned in almost 1 in 5 cases (17.6%).

OW had worse 5-year RFS (75.4 vs. 83.2%, p = 0.002), BCSS (79.5 vs. 88.1%, p&lt;0.001) and OS (63.7 vs. 85.8%, p&lt;0.001). After adjusting for known prognostic factors and treatment differences, increasing age was still significantly associated with poorer 5-year OS (HR 1.2, p = 0.003), but not with BCSS after adjusting for the competing risk of non-BC deaths. 5-year OS, but not BC-specific outcomes (RFS, BCSS), was significantly better in those who received chemotherapy compared to those who did not.

Conclusion: OW with HER2+/TN BC are less likely to receive adjuvant chemotherapy than YW. Factors associated with chemotherapy receipt differ in OW, with tumor size and grade only being influential in YW. Age was only independently associated with OS and not BCSS, suggesting inferior BCSS rates in OW may be due to the presence of larger tumors or differences in treatments received by OW.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-09-04.

Cytogenetic studies on the in-vitro genotoxicity of 4-nitroquinoline-1-oxide on human-lymphocytes

Using the UV-mimetic mutagen 4-nitroquinoline-1-oxide (4NQO) to induce genetic damage in human cells (lymphoblastoid lines and primary cultures of peripheral blood samples), chromosome aberrations were induced by treating the cells with 4NQO at 1 X 10(-5) M for 24 h. The overwhelming majority of chromosome aberrations was of the chromatid (S + G2) type instead of the chromosome (G1) type. The most common chromatid aberrations were simple breaks, isochromatid breaks, and chromatid exchanges. When the number of chromatid breaks per cell value was used as a measurement for 4NQO sensitivity, lymphoblastoid cells from a xeroderma pigmentosum patient showed the highest sensitivity, followed by the cells of two melanoma patients and normal persons. These preliminary results suggest that 4NQO may be employed to develop an assay system as a biomarker for determining UV sensitivity in the human population.

Nonrandom distribution of mutagen-induced chromosome breaks in lymphocytes of patients with different malignancies

Data regarding specific chromosomal alterations in most solid neoplasms are scarce because the complex changes observed in tumor biopsies are often a challenge to interpret. The present investigation using chromosomal banding, was designed to analyze exact regions of spontaneous and mutagen-induced lymphocytic chromosomal breaks and investigate if they are unique for different cancers. Tissue from three groups of individuals were included in the study, viz., normal individuals, untreated head and neck cancer patients, and untreated melanoma patients. For every individual three samples were analyzed for spontaneous, bleomycin (radiomimetic)-induced and 4-nitroquinoline-N-oxide(4NQO) (ultraviolet rays mimetic)-induced chromosome damage. The results revealed that in melanoma patients, chromosomes 1, 6, and 9 showed a significantly higher number of breaks than other chromosomes. A clustering of breaks was observed at loci 1p32, 1q32, 6p21, 6q21 and 9q11. Among the head and neck cancer patients, a significantly larger number of breaks was found in chromosomes 3 and 7 with clustering of breaks mainly in regions 3p21, 3q21, 7q22 and 7q32. Thus, it was found that regardless of the mutagen used, specific chromosomes are more susceptible to breakage than others. Our results indicate that chromosomal fragility is specific for particular cancers and that challenging the cells with mutagens reveals it at a more pronounced rate. Mutagen-induced chromosome breaks appear to be nonrandom affecting different chromosomes in different cancers. Clustering of breaks that occur in specific regions of these chromosomes might provide definite clues for molecular analysis and further in-depth studies of cancer predisposed individuals.

DNA fragility and repair capability are separate genetic phenotypes - studies on in-situ nick translation and chromosome breakage

Three separate experiments, designed to minimize the DNA repair process following exposures to mutagens, were performed to determine whether DNA repair capability is the sole factor responsible for differential mutagen sensitivity. These experiments included (i) very short bleomycin pulse treatments (2, 5 and 10 min), (ii) ionizing irradiation and (iii) bleomycin treatment with DNA repair inhibited by ethanol. Three lymphoblastoid cell lines, derived (i) from a patient with ataxia telangiectasia (AT), (ii) a patient with lupus erythematosus and (iii) a normal blood donor, were used as test cells. Mutagen sensitivity was measured either by the frequency of chromatid breaks or by grain counts in in situ nick translation preparations. In all cases, sensitivity rating followed the same pattern: AT>lupus>normal. The results support the notion that mutagen sensitivity may depend on two separate phenotype: intrinsic DNA fragility and repair capability.

PD04-09: Self-Reported Cognitive Attributes and Fatigue Improve over Long-Term Follow-Up in Breast Cancer Survivors; Some Cognitive Attributes Are Worse in Breast Cancer Survivors Than in Non-Cancer Controls

Background: Cognitive deficits and fatigue have been reported in breast cancer (BC) patients undergoing a variety of treatments, including chemotherapy; in some studies these concerns persist after completion of treatment. We examined these factors over time (median 11 yrs) in a longitudinal study of BC patients and compared the status of long-term BC survivors to non-BC controls.

Methods: 535 T1-3, N0-1, M0 BC patients were enrolled 1989–96; 260 women survived without metastases to participate in long-term follow-up (LTFU) measurements in 2006–8. 161 controls without BC were enrolled 2007–8. Questionnaires examined a range of QOL attributes; here we focus on items related to cognition and fatigue including: EORTC QLQ C30 (cognitive functioning, fatigue), Profile of Mood States (POMS — confusion/bewilderment, fatigue/inertia, vigor/activity), Fatigue Symptom Inventory (FSI — average fatigue past week, total disruption index), Everyday Problems (EDP — forgetfulness, difficulty concentrating, easily distracted). 166 of the BC patients had also completed EORTC and POMS at diagnosis and 1 year, and change in items on these questionnaires was calculated. Age and income adjusted differences between BC (LTFU) and controls were analyzed. Clinical significance was defined as ≥5% of the scale range or an effect size of ≥0.2 and statistical significance as P≤ 0.05.

Results: BC cases were older than controls (62.3 vs 59.1 yr), had lower education (24.6 vs 10.2% high school only) and family income (38.2 vs 19.8% &lt; $60,000 annually) (all P&lt;0.01). Cognitive attributes: BC patients showed clinically and statistically significant improvements between diagnosis and LTFU on POMS confusion/bewilderment but not EORTC cognitive functioning. Comparing BC (LTFU) to controls, in multivariate analyses adjusted for age and income, EORTC cognitive functioning (81.5 vs 87.4) and EDP forgetfulness (0.9 vs 0.6) were clinically and statistically significantly worse in BC patients than controls. In contrast, POMS confusion/bewilderment, EDP difficulty concentrating and EDP easily distracted scores were similar in BC patients at LTFU and controls. Fatigue: BC patients showed clinically and statistically significant improvements between diagnosis and LTFU on EORTC fatigue, POMS fatigue/inertia and POMS vigor/activity. After adjustment for age and income there were no clinically and statistically significant differences between BC (LTFU) and controls on any fatigue items.

Conclusions: Fatigue items, as well as some cognitive items, improved over time in BC patients and scores were comparable to scores in non-BC controls at LTFU. However, scores on some cognitive items were worse in LTFU BC patients than in non-BC controls raising concerns that BC diagnosis and treatment may be associated with long-term adverse effects on some aspects of self-reported cognitive attributes.

(Funded by The Breast Cancer Research Foundation)

Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr PD04-09.

The neoadjuvant management of bladder cancer in Canada: A survey of genitourinary medical oncologists

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Background: The uptake of neoadjuvant chemotherapy (NC) for the treatment of stage II/III bladder cancer remains variable despite evidence supporting its use. The aim of this study is to better understand the use of NC in Canada to facilitate standardization of practice and develop a platform for clinical trials.

Methods: The survey was initially tested on a subset of medical oncologists. It was then e-mailed to 30 medical oncologists across Canada who primarily treat bladder cancer.

Results: In total, 25 (83%) surveys were completed. Respondents were 92% academic based, 100% full time, and 52% in practice for >10 years. The majority of referrals for all stages came from urologists with 4 respondents (16%) seeing 5-10 cases/yr, 10 (40%) seeing 11-15/yr, 5 (20%) seeing 16- 20/yr and 6 (24%) seeing >20/yr. Of these 8 reported having only 1-2 referrals for NC; 7 had 3-4 NC referrals; 7 had 5-6 NC referrals; and 2 reported seeing >6 referrals/year. Patients referred for NC tended to be younger (50-65); Performance Status (PS) 0/1; T-stage T3a/T3b; or nodal status N1/N2. 96% indicated they do offer NC to selected patients as both standard of care and to downsize tumors. Key factors cited for not offering NC were: Age >85, PS 3/4; T-stage T2a or T4a; Nodal status: N3; GFR <40ml/min. Main baseline staging modalities included CT chest/abdomen/pelvis, bone scan and cystoscopy. Gemcitabine/cisplatin was most commonly used with 20% using high-dose MVAC. Six (27%) reported doing midway staging with CT abdomen/pelvis and cystoscopy; 36% report staging after completion of chemo. Average time from last chemotherapy to cystectomy was 4-6 wks, with no patients being offered adjuvant chemotherapy postoperatively.

Conclusions: The majority of GU MO in Canada would offer NC. Stage, PS, renal function, and comorbidities were the biggest determinants of offering NC, while age played a lesser role. The number of overall referrals for NC, however, remains relatively low. We plan to survey urologists in Canada to determine if differences in attitudes about NC or barriers to referrals account for the low number of referrals.

No significant financial relationships to disclose.

Computed tomography-guided core-needle biopsy specimens demonstrate epidermal growth factor receptor mutations in patients with non-small-cell lung cancer

BACKGROUND

Target therapy with a new class of epidermal growth factor receptor (EGFR) inhibitors shows improved clinical response in EGFR gene-mutated lung cancers.

PURPOSE

To evaluate the use of computed tomography (CT)-guided core-needle biopsy specimens for the assessment of EGFR gene mutation in non-small-cell lung cancer (NSCLC).

MATERIAL AND METHODS

Seventeen (nine males, eight females) patients with advanced NSCLC were enrolled in this study. All patients underwent CT-guided core-needle biopsy of the lung tumor prior to treatment with the EGFR inhibitor gefitinib. There were no life-threatening complications of biopsy. The specimens were sent fresh-frozen for EGFR mutation analysis and histopathological study.

RESULTS

There were 12 (70.6%) EGFR gene mutants and five (29.4%) nonmutants. The objective response rate to gefitinib therapy was 73.3% (11 of 15 patients), with 91.7% (11 of 12 mutants) for the mutant group and 0% for the nonmutant group.

CONCLUSION

CT-guided core-needle biopsy of advanced NSCLC enables the acquisition of sufficient tissue for EGFR gene mutation analysis.

A citrate-inducible gene, encoding a putative tricarboxylate transporter, is downregulated by the organic solvent DMSO in Agrobacterium tumefaciens

AIMS

To investigate the effects of the organic solvent dimethyl sulfoxide (DMSO) on the expression of a citrate-inducible gene, encoding a putative tricarboxylate transporter, in Agrobacterium tumefaciens.

METHODS AND RESULTS

By two-dimensional gel electrophoresis, we discovered a putative tricarboxylate transporter named ActC, whose expression was downregulated by DMSO. The expression of actC is also induced by tricarboxylates but not affected by other organic acids of the TCA cycle. Intriguingly, transcriptional activation of actC by citrate is compromised in the presence of DMSO. Furthermore, expression of actC is abolished by deletion of actDE, encoding a putative two-component regulatory system upstream of the actCBA gene cluster.

CONCLUSIONS

actC is a citrate-inducible gene that is repressed by DMSO and whose expression is likely regulated by a two-component system.

SIGNIFICANCE AND IMPACT OF THE STUDY

This study provides useful information as to a potential DMSO-regulatory system of A. tumefaciens or other soil bacteria when encountering DMSO in nature. In addition, DMSO-regulated genes should be taken into account for studies in which bacterial cultures were treated with compounds dissolved in DMSO.

Hypoxia-inducible factor-2alpha regulates the expression of TRAIL receptor DR5 in renal cancer cells

To understand the role of hypoxia-inducible factor (HIF)-2alpha in regulating sensitivity of renal cancer cells to tumor necrosis factor-related apoptosis inducing ligand (TRAIL)-induced apoptosis, we transfected wild-type and mutant von Hippel Lindau (VHL) proteins into TRAIL-sensitive, VHL-negative A498 cells. We find that wild-type VHL, but not the VHL mutants S65W and C162F that do not degrade HIF proteins, cause TRAIL resistance. Knock down of the HIF-2alpha protein by RNA interference (short hairpin RNA) blocked TRAIL-induced apoptosis, decreased the level of TRAIL receptor (DR5) protein and inhibited the transcription of DR5 messenger RNA. By using luciferase constructs containing the upstream region of the DR5 promoter, we demonstrate that HIF-2alpha stimulates the transcription of the DR5 gene by activating the upstream region between -448 and -1188. Because HIF-2alpha is thought to exert its effect on gene transcription by interacting with the Max protein partner of Myc in the Myc/Max dimer, small interfering RNAs to Myc were used to lower the levels of this protein. In multiple renal cancer cell lines decreasing the levels of Myc blocked the ability of HIF-2alpha to stimulate DR5 transcription. PS-341 (VELCADE, bortezomib), a proteasome inhibitor used to treat human cancer, increases the levels of both HIF-2alpha and c-Myc and elevates the level of DR5 in renal cancer, sensitizing renal cancer cells to TRAIL therapy. Similarly, increasing HIF-2alpha in prostate and lung cancer cell lines increased the levels of DR5. Thus, in renal cancer cell lines expressing HIF-2alpha, this protein plays a role in regulating the levels of the TRAIL receptor DR5.

Paclitaxel induces nucleolar enlargement in dorsal root ganglion neurons in vivo reducing oxaliplatin toxicity

Paclitaxel and oxaliplatin are promising drugs for combination trials but both induce peripheral neurotoxicity. To investigate this toxicity, 10-week-old female Wistar rats were given single intraperitoneal doses of paclitaxel and oxaliplatin, alone or in combination. Neurotoxicity was assessed by L5 dorsal root ganglion morphometry and H-reflex-related sensory nerve conduction velocity. Platinum concentrations in dorsal root ganglia and plasma were measured by inductively coupled plasma mass spectrometry. Dorsal root ganglion nucleolus size was significantly increased following single doses of paclitaxel of 10 and 20 mg kg(-1) at 24 h and 6 days (P<0.02). In contrast, dorsal root ganglion nucleolus size was significantly decreased following single doses of oxaliplatin ranging from 3 to 30 mg kg(-1) at time points ranging from 2 h to 14 days. Sensory nerve conduction velocity was altered after a single dose of oxaliplatin but not after paclitaxel. In combination with oxaliplatin, paclitaxel did not alter the plasma pharmacokinetics or dorsal root ganglion accumulation of oxaliplatin-derived platinum. However, prior paclitaxel inhibited oxaliplatin-induced reductions of dorsal root ganglion nucleolar diameter (P<0.02). Sensory nerve conduction velocity was reduced after oxaliplatin alone (P&<0.05) but unchanged when paclitaxel was given before oxaliplatin. In conclusion, paclitaxel induces nucleolar enlargement in dorsal root ganglion neurons after pharmacologically relevant doses in vivo and reduces oxaliplatin nucleolar damage and neurotoxicity.

Recurrent bleeding from intercostal arterial pseudoaneurysm after retroperitoneal laparoscopic radical nephrectomy

We report a case of a 59-year-old man with recurrent bleeding after retroperitoneal laparoscopic nephrectomy. Computed tomography and Doppler ultrasonography confirmed an intercostal artery pseudoaneurysm as the source. Angiography 1 month later demonstrated resolution after conservative management.

Nucleolar damage correlates with neurotoxicity induced by different platinum drugs

Platinum-based drugs are very useful in cancer therapy but are associated with neurotoxicity in the clinic. To investigate the mechanism of neurotoxicity, dorsal root ganglia of rats treated with various platinum drugs were studied. Cell body, nuclear and nucleolar dimensions of dorsal root ganglia sensory nerve cells were measured to determine morphological toxicity. Sensory nerve conduction velocity was measured to determine functional toxicity. After a single dose of oxaliplatin (10 mg kg(-1)), no significant change in nuclear and cell body diameter was seen but decreased nucleolar size was apparent within a few hours of treatment. Changes in nucleolar size were maximal at 24 hours, recovered very slowly and showed a non-linear dependence on oxaliplatin dose (r(2)= 0.99). Functional toxicity was delayed in onset until 14 days after a single dose of oxaliplatin but eventually recovered 3 months after treatment. Multiple doses of cisplatin, carboplatin, oxaliplatin, R, R-ormaplatin and S, S-ormaplatin were also associated with time-dependent reduction in nucleolar size. A linear correlation was obtained between the rate of change in nucleolar size during multiple dose treatment with the series of platinum drugs and the time taken for the development of altered sensory nerve conduction velocity (r(2)= 0.86;P< 0.024). Damage to the nucleolus of ganglionic sensory neurons is therefore linked to the neurotoxicity of platinum-based drugs, possibly through mechanisms resulting in the inhibition of rRNA synthesis.

Gene verification and discovery by Walking Tree Method

The Walking Tree Method [3, 4, 5, 18] is an approximate string alignment method that can handle insertions, deletions, substitutions, translocations, and more than one level of inversions all together. Moreover, it tends to highlight gene locations, and helps discover unknown genes. Its recent improvements in runtime and space use extends its capability in exploring large strings. We will briefly describe the Walking Tree Method with its recent improvements [18], and demonstrate its speed and ability to align real complete genomes such as Borrelia burgdorferi (910724 base pairs of its single chromosome) and Chlamydia trachomatis (1042519 base pairs) in reasonable time, and to locate and verify genes.

Drosophila Pin1 prolyl isomerase Dodo is a MAP kinase signal responder during oogenesis

The mammalian cis-trans prolyl isomerase Pin1 and its yeast orthologue Ess1/Ptf1 have been implicated in cell cycle control but a correlation between biochemical and physiological functions has not been established conclusively. Pin1 targets the proline residue carboxy-terminal to the phosphorylated threonine or serine residue, which constitutes part of the phosphorylated mitogen-activated protein kinase (MAPK) site PXpT/SP. Here we show that the Drosophila Pin1 homologue, the Dodo protein, is involved in dorsoventral patterning of the follicular epithelium in the egg chamber. Its function is to facilitate the degradation of transcription factor CF2, which requires, a priori, activated epidermal growth factor receptor-MAPK signalling.

Increased expression of mXBP-1 (TREB-5) in thymic B cells in New Zealand mice

New Zealand Black mice as well as several other murine models of murine lupus are well known for premature degeneration of thymus and development of autoimmunity. To focus on molecular events unique to murine lupus, we performed differential display using arbitrary primer pairs to distinguish NZB versus BALB/c thymus at 5 weeks of age. Following an extensive analysis of DNA bands that were either consistently up or downregulated and from studies of expression pattern of thymic genes by in situ nucleic acid hybridization, we focused on one clone that was consistently differentially expressed between NZB and BALB/c thymus. This clone was isolated, sequenced, and identified as the murine homologue of the human X box binding protein (hXBP-1), also known as TREB 5. mXBP-1 was found to be consistently upregulated in B cells in the thymic cortex of NZB and (NZBxNZW)F1, but not BALB/c, C3H/HeJ or C57BL/6 mice. In addition, it was dramatically elevated in MRL/ lpr but not MRL/++ mice; similarly, it was increased in BXSB/ Yaa male but not BXSB female thymic cortex. Of particular interest was an absence of mXBP-1 expression in the thymus of NZB/ Bln- Igh6(null)homozygotes. mXBP-1 has several putative functions, including the regulation of MHC class II expression and by virtue of its ability to recognize CRE-like elements shown to be involved in HTLV-1 transcription.

B cells are selectively associated with thymic cortical but not medullary pathology in NZB mice

Abnormal expansion of autoantibody-synthesizing B cells and self-reactive T cells, which most likely escape negative selection within the thymus, have both been characterized and reasoned to play a role in the pathogenesis of autoimmunity in NZB mice. Support for this thesis has been our observation that NZB mice have severe cortical and medullary thymic microarchitectural defects. As a means to dissect the roles of T and B cells in the induction of such abnormalities, B cell-deficient NZB mice were bred by backcrossing the Igh6(null)allele on to the NZB background (NZB-muMT mice). Such mice showed undetectable levels of autoantibodies. NZB-muMT mice, as compared to wild-type NZB mice, had lower absolute numbers of CD4(+)T cells. Furthermore, thymic abnormalities in NZB-muMT mice were restricted to the medulla. These data suggest that, while B cells may play a role in thymic cortical abnormalities, the medullary abnormalities are induced by other mechanisms.

First example of hemolytic disease of the newborn caused by anti-Or and confirmation of the molecular basis of Or

BACKGROUND AND OBJECTIVES

The rare MNS antigen Or (MNS31) is sensitive to ficin, papain and sialidase, but partially resistant to trypsin (0.05%); the effect of alpha-chymotrypsin is not known. A point mutation, 204C --> T in exon 3 of GYPA, is associated with the Or+ phenotype. We report here the first case of hemolytic disease of the newborn (HDN) caused by anti-Or, and expand the information on the nature of the Or determinant.

MATERIALS AND METHODS

A woman, gravida 4, para 0, delivered a baby whose red blood cells (RBCs) were positive (2+) on the direct antiglobulin test (DAT). The mother's serum, an eluate made from the baby's RBCs and the RBCs of the baby's father were investigated. Exon 3 of GYPA, extracted from the father's genomic DNA, was amplified and sequenced.

RESULTS

The mother's serum reacted at room temperature, 37 degrees C and on the indirect antiglobulin test with RBCs from the baby's father. The father's RBCs were M+N+S-s+Or+. The antibody in the mother's serum and in the baby's eluate was identified as anti-Or. The serum did not react with the father's RBCs treated with trypsin (180,000 U/ml), but did react with his alpha-chymotrypsin-treated RBCs. Amplification and sequencing of DNA from the father revealed a single point mutation, 204C --> T, in GYPA exon 3. At birth, the baby had clinical symptoms of HDN and was transfused with 36 ml of packed RBCs and received phototherapy for eight days. At week 11, the baby's M+N+S+s+Or+ RBCs were negative on the DAT.

CONCLUSION

This is the first case of HDN caused by anti-Or. The observed point mutation, 204C --> T, confirms that of a previous report and predicts a change of Arg (Or-) to Trp (Or+) at amino acid 31.