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Abstract: Mycosis fungoides (MF) is the most prevalent primary cutaneous T-cell lymphoma, with an indolent or aggressive course and poor survival. The pathogenesis of MF remains unclear, and prognostic factors in the early stages are not well established. Here, we characterized the most recurrent genomic alterations using whole-exome sequencing of 67 samples from 48 patients from Lille University Hospital (France), including 18 sequential samples drawn across stages of the malignancy. Genomic data were analyzed on the Broad Institute's Terra bioinformatics platform. We found that gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), or mutations in JUNB and TET2 are associated with high-risk disease stages. Furthermore, gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), and del6q16.3 (TNFAIP3) are coupled with shorter survival. Del6q16.3 (TNFAIP3) was a risk factor for progression in patients at low risk. By analyzing the clonal heterogeneity and the clonal evolution of the cohort, we defined different phylogenetic pathways of the disease with acquisition of JUNB, gain10p15.1 (IL2RA and IL15RA), or del12p13.1 (CDKN1B) at progression. These results establish the genomics and clonality of MF and identify potential patients at risk of progression, independent of their clinical stage., (© 2024 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

Objective: We investigated prolonged COVID-19 symptom duration, defined as lasting 28 days or longer, among people with systemic autoimmune rheumatic diseases (SARDs)., Methods: We analysed data from the COVID-19 Global Rheumatology Alliance Vaccine Survey (2 April 2021-15 October 2021) to identify people with SARDs reporting test-confirmed COVID-19. Participants reported COVID-19 severity and symptom duration, sociodemographics and clinical characteristics. We reported the proportion experiencing prolonged symptom duration and investigated associations with baseline characteristics using logistic regression., Results: We identified 441 respondents with SARDs and COVID-19 (mean age 48.2 years, 83.7% female, 39.5% rheumatoid arthritis). The median COVID-19 symptom duration was 15 days (IQR 7, 25). Overall, 107 (24.2%) respondents had prolonged symptom duration (≥28 days); 42/429 (9.8%) reported symptoms lasting ≥90 days. Factors associated with higher odds of prolonged symptom duration included: hospitalisation for COVID-19 vs not hospitalised and mild acute symptoms (age-adjusted OR (aOR) 6.49, 95% CI 3.03 to 14.1), comorbidity count (aOR 1.11 per comorbidity, 95% CI 1.02 to 1.21) and osteoarthritis (aOR 2.11, 95% CI 1.01 to 4.27). COVID-19 onset in 2021 vs June 2020 or earlier was associated with lower odds of prolonged symptom duration (aOR 0.42, 95% CI 0.21 to 0.81)., Conclusion: Most people with SARDs had complete symptom resolution by day 15 after COVID-19 onset. However, about 1 in 4 experienced COVID-19 symptom duration 28 days or longer; 1 in 10 experienced symptoms 90 days or longer. Future studies are needed to investigate the possible relationships between immunomodulating medications, SARD type/flare, vaccine doses and novel viral variants with prolonged COVID-19 symptoms and other postacute sequelae of COVID-19 among people with SARDs., Competing Interests: Competing interests: MP reports grants from AbbVie—SELECT-GCA Participating Center and AstraZeneca—MANDARA Participating Center; and consulting fees from Novartis, outside the submitted work. ES is a board member of the Canadian Arthritis Patient Alliance, a patient run, volunteer-based organisation whose activities are primarily supported by independent grants from pharmaceutical companies. SES reports research funding related to clinical trials from AstraZeneca (MANDARA) and is supported by the Vasculitis Clinical Research Consortium and Vasculitis Foundation, outside the submitted work. CH is a stockholder for Aurinia Pharmaceuticals; an Advisory Board member for Aurinia Pharmaceuticals, AstraZeneca Pharmaceuticals and UCB Pharmaceuticals; and reports consulting fees from AstraZeneca, UCB, Antidote and Aurinia Pharmaceuticals, outside the submitted work. MJL reports grants from American College of Rheumatology, during the conduct of the study and consulting fees from AbbVie, Amgen, Actelion, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Gilead, Johnson & Johnson, Mallinckrodt, Novartis, Pfizer, Roche, Sandoz, Sanofi, Sobi and Union Chimique Belge, outside the submitted work. SB reports non-branded consulting fees from AbbVie, Amgen, Horizon Pharma, Novartis and Pfizer outside the submitted work, and is a Pfizer employee as of September 2021. RG reports speaker honoraria from AbbVie New Zealand, Cornerstones and Janssen New Zealand; speaker honoraria and non-financial support Pfizer Australia; non-financial support from Janssen Australia and personal fees from Novartis (all <$A10 000) outside the submitted work. PMM reports consulting fees from AbbVie, Eli Lilly, Janssen, Novartis, Pfizer and Union Chimique Belge; and grants and consulting fees from Orphazyme, outside the submitted work. PCR reports personal fees from AbbVie, Gilead, Eli Lilly and Roche; grants and personal fees from Novartis, Union Chimique Belge, Janssen and Pfizer and non-financial support from Bristol Myers Squibb, outside the submitted work. ZSW reports grants from NIH, Bristol Myers Squibb and Principia/Sanofi; and personal fees from Viela Bio and MedPace, outside the submitted work. JY reports grants from NIH/NIAMS K24 during the conduct of the study and outside the submitted work, reports research grants from Gilead, BMS Foundation and AstraZeneca; consulting fees from Pfizer, AstraZeneca and Aurinia. MG-M reports consulting fees for BMS, BI, JNJ and Aurinia (all <$A10 000), outside the submitted work. RH reports grants from AbbVie, Amgen, Boehringer Ingleheim, Johnson & Johnson, Eli Lilly, Novartis, Pfizer and Union Chimique Belge, all paid to Spondylitis Association of America, and consultant fees from GlaxoSmithKline and Novartis, outside the submitted work. RH also owns stocks (<20 shares and representing <4% of personal investments) in AbbVie, Amgen, Bristol Myers Squibb, GlaxoSmithKline, Johnson & Johnson, Eli Lilly, Merck, Novartis, Pfizer, Teva and Union Chimique Belge. DA-R is a scientific advisor for and reports personal fees from GlaxoSmithKilne Mexico unrelated to this work. RC reports speaker fees from Janssen, Roche, Sanofi and AbbVie, outside the submitted work. AD-G reports grants from the Centers for Disease Control and Prevention, Rheumatology Research Foundation and Mayo Clinic, outside the submitted work. JAS has received consultant fees from Schipher, Crealta/Horizon, Medisys, Fidia, PK Med, Two Labs, Adept Field Solutions, Clinical Care options, Clearview healthcare partners, Putnam associates, Focus forward, Navigant consulting, Spherix, MedIQ, Jupiter Life Science, UBM, Trio Health, Medscape, WebMD and Practice Point communications; and the National Institutes of Health and the American College of Rheumatology. JAS has received institutional research support from Zimmer Biomet Holdings. JAS received food and beverage payments from Intuitive Surgical/Philips Electronics North America. JAS owns stock options in TPT Global Tech, Vaxart Pharmaceuticals, Atyu Biopharma, Adaptimmune Therapeutics, GeoVax Labs, Pieris Pharmaceuticals, Enzolytics, Seres Therapeutics, Tonix Pharmaceuticals Holding and Charlotte’s Web Holdings. JAS previously owned stock options in Amarin, Viking and Moderna pharmaceuticals. JAS is on the speaker’s bureau of Simply Speaking. JAS is a member of the executive of Outcomes Measures in Rheumatology (OMERACT), an organisation that develops outcome measures in rheumatology and receives arms-length funding from eight companies. JAS serves on the FDA Arthritis Advisory Committee. JAS is the chair of the Veterans Affairs Rheumatology Field Advisory Board (FAB). JAS is the editor and the Director of the University of Alabama at Birmingham (UAB) Cochrane Musculoskeletal Group Satellite Center on Network Meta-analysis. JAS previously served as a member of the following committees: member, the American College of Rheumatology's (ACR) Annual Meeting Planning Committee (AMPC) and Quality of Care Committees, the Chair of the ACR Meet-the-Professor, Workshop and Study Group Subcommittee and the co-chair of the ACR Criteria and Response Criteria subcommittee. MFU-G reports research grants from Pfizer and Janssen, unrelated to this work. JSH reports grants from and Rheumatology Research Alliance; consulting fees from Novartis, Pfizer and Biogen; and is a member of the Childhood Arthritis and Rheumatology Research Alliance (CARRA). JFS received research grant funding from the National Institutes of Health unrelated to this work (NIAMS R01 AR077103 and NIAID R01 AI154533). JSp is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers R01 AR077607, P30 AR070253 and P30 AR072577), the R. Bruce and Joan M. Mickey Research Scholar Fund, the Llura Gund Award for Rheumatoid Arthritis Research and Care and Bristol Myers Squibb; and personal fees for AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum and Pfizer, unrelated to this work., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To analyse how non-adherence to prescribed treatments might be prevented, screened, assessed and managed in people with rheumatic and musculoskeletal diseases (RMDs)., Methods: An overview of systematic reviews (SR) was performed in four bibliographic databases. Research questions focused on: (1) effective interventions or strategies, (2) associated factors, (3) impact of shared decision making and effective communication, (4) practical things to prevent non-adherence, (5) effect of non-adherence on outcome, (6) screening and assessment tools and (7) responsible healthcare providers. The methodological quality of the reviews was assessed using AMSTAR-2. The qualitative synthesis focused on results and on the level of evidence attained from the studies included in the reviews., Results: After reviewing 9908 titles, the overview included 38 SR on medication, 29 on non-pharmacological interventions and 28 on assessment. Content and quality of the included SR was very heterogeneous. The number of factors that may influence adherence exceed 700. Among 53 intervention studies, 54.7% showed a small statistically significant effect on adherence, and all three multicomponent interventions, including different modes of patient education and delivered by a variety of healthcare providers, showed a positive result in adherence to medication. No single assessment provided a comprehensive measure of adherence to either medication or exercise., Conclusions: The results underscore the complexity of non-adherence, its changing pattern and dependence on multi-level factors, the need to involve all stakeholders in all steps, the absence of a gold standard for screening and the requirement of multi-component interventions to manage it., Competing Interests: Competing interests: VR, PB, FEL, JBN, AI, MN, AM, EM, KV and AdT did not have competing interest to declare. TS has received grant/research support from AbbVie and Roche, has been consultant for AbbVie, Sanofi Genzyme, and has been paid speaker for AbbVie, Roche and Sanofi. DA has received grant/research support from AbbVie, Amgen, Celgene, Lilly, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi Genzyme and UCB, has been consultant for AbbVie, Amgen, Celgene, Lilly, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi Genzyme and UCB, and has been paid speaker for AbbVie, Amgen, Celgene, Lilly, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi Genzyme and UCB. JB has received grant/research support from Roche, and has been paid speaker for Roche and Lilly. RD has been paid speaker for MSD, AbbVie, Novartis, Roche, Pfizer, Mylan and Sandoz. ED has received grant/research support from Independent Learning, Pfizer, combined funding for a research fellow from Celgene, Abbvie and Novartis, and has been paid instructor for Novartis to deliver training to nurses. LG has received grant/research support from Fresenius, Lilly, Pfizer and Sandoz, and has been consultant for AbbVie, Amgen, Biogen, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Sandoz, Sanofi-Aventis and UCB Pharma. BvdB has been paid speaker for MSD, Abbvie and Biogen. MV has been paid speaker for Pfizer. LC has received grant/research support through her institute from Novartis, Pfizer, MSD, Roche, Sanofi Aventis, AbbVie and Gebro Pharma., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Streptococcus pneumoniae infection causes morbidity and mortality in multiple myeloma patients. Pneumococcal vaccination is commonly given to immunocompromised myeloma patients; however response data are sparse. Here, we present longitudinal response data to pneumococcal vaccination in multiple myeloma patients., Method: Twenty-eight multiple myeloma patients were included, 25 of whom were newly diagnosed. All the patients received two vaccines Prevnar13® and Pneumo23®. Serotype-specific IgG was measured by ELISA for all 23 vaccine serotypes at baseline, and then sequentially at different time points postvaccination until treatment ended. Response to vaccination is available for 20 patients. The primary endpoint was the incidence rate of patients who obtained an isotype response serum concentration after vaccination. Secondary endpoints included detailed isotype increase, time to first increase, further assessment of a decreased anti-pneumococcal serum concentrations following treatment including autologous stem cell transplantation (ASCT), rate of infection with a special attention to pneumococcal infection., Results: The median age was 66 years and the male to female ratio was 0.6. Anti-pneumococcal capsular polysaccharide (anti-PCP23) IgG, IgG2, IgA, and IgM responses were detected within 1 week postvaccination. Response to at least one subtype of antibody was obtained in 85% (n = 17) of patients, for at least two subtypes in 65% (n = 13), for at least three subtypes in 55% (n = 11), and 2 patients responded to all four subtypes. The median increase in the concentration of anti-PCP23 isotypes was threefold following vaccination, with the highest increase observed when Pneumo23® was given more than 30 days after Prevnar13®. The anti-pneumococcal geometric mean concentration decreased significantly for all subtypes over time independently of treatment approaches., Conclusion: Myeloma has the ability to demonstrate a response to pneumococcal vaccine, independently of preexisting hypogammaglobulinemia and possibly of treatment-induced immunodepression. We also observed a drop in the serum response overtime and following autologous transplantation. Further studies in larger sample are needed to understand the benefit of vaccination strategies in these patients., (© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Purpose: TP53 is a tumor-suppressor gene that functions as a regulator influencing cellular responses to DNA damage, and TP53 alterations are associated with pejorative outcome in most B-lymphoid disorders. Little is known regarding TP53 alteration in Waldenstrom's macroglobulinemia (WM). Experimental Design: alteration using Sanger sequencing and ultradeep-targeted sequencing in 125 WM and 10 immunoglobulin M (IgM) monoclonal gammopathy of undetermined significance (MGUS), along with the clinical features and the associated genomic landscape using single-nucleotide polymorphism array and mutational landscape in an integrative study. TP53 alteration using Sanger sequencing and ultradeep-targeted sequencing in 125 WM and 10 immunoglobulin M (IgM) monoclonal gammopathy of undetermined significance (MGUS), along with the clinical features and the associated genomic landscape using single-nucleotide polymorphism array and mutational landscape in an integrative study. Results: Overall, we have identified alteration of TP53 locus including mutation, deletion, and copy-neutral LOH in 11.2% of WM. TP53 mutation was acquired in 7.3% of patients with WM at diagnosis, being absent in IgM MGUS, and was highly correlated to deletion 17p. No correlation with CXCR4 mutations was observed. Patients with TP53 alteration had a greater number of genomic abnormalities. Importantly, WM with TP53 alteration had a significantly shorter overall survival, particularly in symptomatic WM, and independently of the international prognostic scoring system for Waldenstrom macroglobulinemia (IPSSWM) score. Specific treatment for WM with TP53 may have to be studied. Nutlin-3a-targeted p53 signaling induced cytotoxicity preclinically, along with new compounds such as ibrutinib, Prima Met , or CP31398 that bypass p53 pathway in WM, paving the path for future treatment-tailored options. Conclusions: Our results highlight the clinical significance of detection of TP5 3 alteration in WM to determine the prognosis of WM and guide the treatment choice. Clin Cancer Res; 23(20); 6325-35. ©2017 AACR ., (©2017 American Association for Cancer Research.)

Lenalidomide is manageable and effective in multiple myeloma, particularly in elderly patients. Surprisingly, the combination of lenalidomide with rituximab produced clinically significant anemia at 25 mg/day for 21/28 days, the highest possible dose, in Waldenström's Macroglobulinemia (WM). We aimed to determine the maximum tolerated dose (MTD) of single agent lenalidomide and determine its impact on WM. RV-WM-0426 is a multicenter dose escalation open label phase 1/2 study of lenalidomide in relapsed/refractory WM (RRWM). Lenalidomide was given orally 21/28 days per cycle for 1 year, at escalated dose of 15 to 20 mg during phase 1 to determine the MTD; the phase 2 part was conducted at the MTD. Seventeen RRWM patients were included. The MTD was established at 15 mg/day 21/28. By ITT analysis, the overall response rate was 29%. With a median follow-up of 36 months, median TTP was 16 months (95% CI 5.5-26), the 5-year OS was 91%. The most frequent adverse events ≥ grade 3 at 15 mg were 14% anemia and 43% neutropenia. The MTD of lenalidomide is 15 mg/day 21/28 days in RRWM. Lenalidomide is active in the treatment of RRWM and the safety profile appears manageable. Future studies may look into combinations of lenalidomide and continuous dosing., (© 2015 Wiley Periodicals, Inc.)