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Gaisin I, Bagautdinova Z, Valeeva R, Maximov N, Desinova O, Shayakhmetova R, Sabelnikova I, Tukmacheva A, Gibadullina L, Burlaeva N, Agareva E, Ochkurova Y, Bragina T, Alexandrova K, Reutova E. AB0576 INCIDENCE AND CLINICAL MANIFESTATIONS OF RAYNAUD’S PHENOMENON IN RHEUMATIC DISEASES. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Systemic sclerosis (SSc) is a connective tissue disease (CTD) most frequently associated with Raynaud’s phenomenon – RP (96%), followed by mixed CTD (MCTD) (86%), systemic lupus erythematosus – SLE (31%), undifferentiated CTD (30%), rheumatoid arthritis – RA (22%) and Sjogren’s disease – SD (13%)1. RP can manifest as a classical triple-colour change with pallor (ischaemic phase) followed by cyanosis (deoxygenation) and erythema (reperfusion)2,1. However, this triple-colour change only occurs in 19% of cases2,3. Majority of patients report an episodic double-colour change, consisting of pallor and cyanosis, pallor and erythema or cyanosis and erythema2. In a 4.8-year follow-up, 37.2% of RP patients developed rheumatic diseases (RD), 8.1% had other causes, in 54,7% RP remained primary4.Objectives:To study the incidence and manifestations of secondary RP in RD.Methods:A questionnaire survey conducted in 230 patients with RD.Results:RP was detected in 45.6% of RD patients (n=105), 54.4% of patients with RD had no RP (n=125). RP was 4 times more frequent in females than in males (F:M 4:1). In RP group, 87 patients (82%) had autoimmune RD: SSc (55.2%), SLE (17.1%), RA (6%),dermatomyositis (3.8%), cross syndrome (3.8%), MCTD (1.9%), SD (0.9%).Only 84% of RP patients had positive answers to all three questions that characterizeRP (1. Is there an unusual sensitivity of fingers to cold? 2. Do fingers change colorwhen exposed to cold? 3. Do they turn white and/or bluish?). Biphasic color changes (whitening-blueness; whitening-redness; blue-redness) were observed in 33 (31.4%) patients with RP, three-phase changes – in 32 patients (30.5%). Blueness of fingers to cold was more frequent in SLE than in SSc (p=0.027).Redness of fingers to cold occurred more often in cross syndrome, MCTD, SD, RA, vasculitis than in SSc (p<0.001) and in vasculitis than in SLE (p=0.035). In SSc patients, whitening of fingers to cold was more common than redness (p=0.037) and two-/three-phase changes of fingers color in the cold were more frequent than single-phase changes (p<0.001).The frequency of RP attacks was detected more than once a day in 44 (42%) patients. In 73% of cases, RP did not show signs of deep digital ischemia. Digital ulcers (active) were observed in 13 (12.3%) patients, fractures in a finger area – 23 (21.9%), digital scars – 15 (14.2%), phalange amputations – 7 (6.6%).Conclusion:Patients with RD and secondary RP most often have SSC (55%), less often – SLE (17%), RA (6%), DM (3%). In SSc and SLE patients, Raynaud’s reddening of fingers to cold is less common than in other RD. In SSc, two-/three-phase changes of fingers color in the cold are more frequent than single-phase changes. In SLE, fingers turn blue in the cold more often than in SSc.References:[1]Prete M, Fatone MC, Favoino E, Perosa F. Raynaud’s phenomenon: from molecular pathogenesis to therapy.Autoimmun Rev2014;13:655–67.[2]Linnemann B, Erbe M. Raynaud’s phenomenon – assessment and differential diagnoses.Vasa2015;44:166–77.[3]Heidrich H, Helmis J, Fahrig C, Hovelmann R, Martini N. Clinical characteristics of primary, secondary and suspected secondary Raynaud’s syndrome and diagnostic transition in the long-term follow-up. A retrospective study in 900 patients.Vasa2008;37 (Suppl. 73):3–25.[4]Pavlov–Dolijanovic S, Damjanov NS, VujasinovicStupar NZ, Radunovic GL, Stojanovic RM, Babic D. Late appearance and exacerbation of primary Raynaud’s phenomenon attacks can predict future development of connective tissue disease: a retrospective chart review of 3035 patients.RheumatolInt2013;33:921–6.Acknowledgments:Professor LP. Anan’eva, Professor RT. AlekperovDisclosure of Interests:Ilshat Gaisin Speakers bureau: Boehringer Ingelheim, KRKA, Berlin-Chemie Menarini, Sanofi, Zukhra Bagautdinova: None declared, Rosa Valeeva: None declared, Nikolay Maximov Speakers bureau: Pfizer, KRKA, Oxana Desinova: None declared, Rushana Shayakhmetova: None declared, Irina Sabelnikova: None declared, Anna Tukmacheva: None declared, Larisa Gibadullina: None declared, Natalya Burlaeva: None declared, Elena Agareva: None declared, Yulia Ochkurova: None declared, Tatyana Bragina: None declared, Ksenia Alexandrova: None declared, Elvira Reutova: None declared
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Faugeroux V, Pailler E, Oulhen M, Deas O, Brulle-Soumare L, Hervieu C, Marty V, Alexandrova K, Andree KC, Stoecklein NH, Tramalloni D, Cairo S, NgoCamus M, Nicotra C, Terstappen LWMM, Manaresi N, Lapierre V, Fizazi K, Scoazec JY, Loriot Y, Judde JG, Farace F. Genetic characterization of a unique neuroendocrine transdifferentiation prostate circulating tumor cell-derived eXplant model. Nat Commun 2020; 11:1884. [PMID: 32313004 PMCID: PMC7171138 DOI: 10.1038/s41467-020-15426-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 03/04/2020] [Indexed: 02/07/2023] Open
Abstract
Transformation of castration-resistant prostate cancer (CRPC) into an aggressive neuroendocrine disease (CRPC-NE) represents a major clinical challenge and experimental models are lacking. A CTC-derived eXplant (CDX) and a CDX-derived cell line are established using circulating tumor cells (CTCs) obtained by diagnostic leukapheresis from a CRPC patient resistant to enzalutamide. The CDX and the derived-cell line conserve 16% of primary tumor (PT) and 56% of CTC mutations, as well as 83% of PT copy-number aberrations including clonal TMPRSS2-ERG fusion and NKX3.1 loss. Both harbor an androgen receptor-null neuroendocrine phenotype, TP53, PTEN and RB1 loss. While PTEN and RB1 loss are acquired in CTCs, evolutionary analysis suggest that a PT subclone harboring TP53 loss is the driver of the metastatic event leading to the CDX. This CDX model provides insights on the sequential acquisition of key drivers of neuroendocrine transdifferentiation and offers a unique tool for effective drug screening in CRPC-NE management.
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MESH Headings
- Animals
- Benzamides
- Carcinoma, Neuroendocrine/genetics
- Carcinoma, Neuroendocrine/metabolism
- Cell Line, Tumor
- Cell Transdifferentiation/genetics
- Disease Models, Animal
- Drug Resistance, Neoplasm
- Gene Expression Regulation, Neoplastic
- Homeodomain Proteins/metabolism
- Humans
- Male
- Mice
- Mice, Inbred NOD
- Neoplastic Cells, Circulating/drug effects
- Neoplastic Cells, Circulating/metabolism
- Nitriles
- Phenylthiohydantoin/analogs & derivatives
- Phenylthiohydantoin/pharmacology
- Phylogeny
- Prostate/metabolism
- Prostate/pathology
- Prostatic Neoplasms/genetics
- Prostatic Neoplasms/metabolism
- Receptors, Androgen/genetics
- Sequence Alignment
- Serine Endopeptidases/metabolism
- Transcription Factors/metabolism
- Transcriptome
- Tumor Suppressor Protein p53/genetics
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Affiliation(s)
- Vincent Faugeroux
- INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment", 94805, Villejuif, France
- Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | - Emma Pailler
- INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment", 94805, Villejuif, France
- Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | - Marianne Oulhen
- Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | | | | | - Céline Hervieu
- INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment", 94805, Villejuif, France
- Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | - Virginie Marty
- Gustave Roussy, Université Paris-Saclay, Experimental and Translational Pathology Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | - Kamelia Alexandrova
- Gustave Roussy, Université Paris-Saclay, Department of Cell Therapy, 94805, Villejuif, France
| | - Kiki C Andree
- Medical Cell Biophysics Group, Technical Medical Centre, Faculty of Science and Technology, University of Twente, 7522 NB, Enschede, The Netherlands
| | - Nikolas H Stoecklein
- Department of General, Visceral and Pediatric Surgery, Medical Faculty, University Hospital of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Dominique Tramalloni
- Gustave Roussy, Université Paris-Saclay, Department of Cell Therapy, 94805, Villejuif, France
| | | | - Maud NgoCamus
- Gustave Roussy, Université Paris-Saclay, Department of Cancer Medicine, 94805, Villejuif, France
| | - Claudio Nicotra
- Gustave Roussy, Université Paris-Saclay, Department of Cancer Medicine, 94805, Villejuif, France
| | - Leon W M M Terstappen
- Medical Cell Biophysics Group, Technical Medical Centre, Faculty of Science and Technology, University of Twente, 7522 NB, Enschede, The Netherlands
| | | | - Valérie Lapierre
- Gustave Roussy, Université Paris-Saclay, Department of Cell Therapy, 94805, Villejuif, France
| | - Karim Fizazi
- INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment", 94805, Villejuif, France
- Gustave Roussy, Université Paris-Saclay, Department of Cancer Medicine, 94805, Villejuif, France
| | - Jean-Yves Scoazec
- Gustave Roussy, Université Paris-Saclay, Experimental and Translational Pathology Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France
| | - Yohann Loriot
- Gustave Roussy, Université Paris-Saclay, Department of Cancer Medicine, 94805, Villejuif, France.
| | | | - Françoise Farace
- INSERM, U981 "Identification of Molecular Predictors and new Targets for Cancer Treatment", 94805, Villejuif, France.
- Gustave Roussy, Université Paris-Saclay, "Circulating Tumor Cells" Translational Platform, CNRS UMS3655-INSERM US23 AMMICA, 94805, Villejuif, France.
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Kerbage F, Sakr R, Lapierre V, Alexandrova K, Coman T, Leroux S, Lucas N, Pilorge S, Solary E, Bourhis JH, Castilla-Llorente C. Donor Lymphocyte Infusions After Allogeneic Transplantation: A Single-Center Experience. Clin Lymphoma Myeloma Leuk 2020; 20:209-211. [PMID: 32019730 DOI: 10.1016/j.clml.2019.11.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/30/2019] [Accepted: 11/01/2019] [Indexed: 10/25/2022]
Abstract
Allogeneic hematopoietic cell transplantation (AHCT) represents the only curative therapy for many hematological malignancies. The graft versus leukemia effect, driven by donor T cells, plays a major role in its curative potential. This effect is sometimes very evident when patients with acute myeloid leukemia and myelodysplasia relapse after AHCT and are treated with donor lymphocyte infusions (DLIs). We retrospectively reviewed the charts of 64 patients who received DLI between 2012 and 2017 in our center. The mean age of the patients was 59 years (range, 34-79). Fifty percent were male (n = 32). The mean follow-up time after AHCT was 50.17 months (range, 8-174). The indication for DLI were disease progression, mixed chimerism, minimal residual disease, and other etiologies in 43.8%, 40.7%, 14%, and 1.5% of patients, respectively. The most common diagnosis was acute leukemia, followed by multiple myeloma. Of all patients, 59.4% received a transplant from a related donor, 39% received a transplant from an unrelated donor, and 1.6% received a transplant from a haploidentical donor. Reduced-intensity conditioning AHCT was the most frequent regimen used (53%). DLI was given alone in 79.7% of patients. Prophylactic DLI was given at 30 days after transplantation in patients who received human leukocyte antigen (HLA)-matched related human stem cell transplantation (HSCT) or 45 to 60 days post-transplant in patients receiving haploidentical HSCT or HLA-matched unrelated HSCT. Patients were treated without graft versus host disease (GVHD) prophylaxis. The use of DLI after transplantation remains a feasible procedure with rates of response >60%. Moreover, DLIs are well tolerated with a GVHD rate <10% in our series. We can hypothesize that in our experience the efficacy of this strategy does not rely on the induction of GVHD.
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