Differences in the Distribution of Cytogenetic Subtypes Between Multiple Myeloma Patients with and without a History of Familial MGUS and Multiple Myeloma

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4000-4000
Author(s):  
Alexandra Greenberg ◽  
Margot Cousin ◽  
Celine M Vachon ◽  
Dirk Larson ◽  
Colin L. Colby ◽  
...  

Abstract Abstract 4000 Background: We have previously reported that there is an increased risk of monoclonal gammopathy of undetermined significance (MGUS) in first-degree relatives of patients with multiple myeloma (Vachon CM. Blood 2009 114: 785–790). There are several cytogenetic subtypes of myeloma, and there are no data on whether certain cytogenetic subtypes of myeloma are more frequently associated with familial MGUS. Methods: We studied patients with myeloma who participated in the familial MGUS study in whom presence or absence of MGUS in the first-degree relatives had been ascertained (Vachon CM. Blood 2009 114: 785–790). Probands were seen at the Mayo Clinic Hematology/Oncology practice (Rochester, MN, USA) between February 2006 and September 2007. Cytogenetic data was acquired via electronic medical record abstraction of fluorescence in-situ hybridization (FISH) lab reports, and used to categorize patients into one of nine cytogenetic subgroups: trisomy(ies), t(6;14), t(11;14), t(4;14), t(14;16), t(14;20), Mixed (those with trisomy(ies) and an IgH translocation), other cytogenetic abnormalities (in the absence of trisomy(ies) or IgH translocation), and normal (Kumar S. Blood 2012;119:2100–2105). We examined whether a difference in the distribution of the six primary cytogenetic categories of myeloma existed between probands with a family history of MGUS and/or myeloma and those without. Results and Conclusions: Of the 248 patients invited to participate, FISH data (with sufficient plasma cells) was available on 119 participants to establish the primary molecular cytogenetic classification of myeloma. All had available information regarding family history of MGUS and multiple myeloma. 27 had an affected first-degree relative with MGUS, and 92 did not. Distributions of cytogenetic subtypes in the two groups are shown in Table 1. IgH translocated MM was more common in myeloma patients who lacked an affected first-degree relative compared to those with familial MGUS (19% vs 30%, P=0.32) Interestingly, the t(11;14) subtype was more common in myeloma patients without familial MGUS compared to those with an first-degree relative with MGUS (19.6% vs 7.4%, P=0.24). The differences in Table 1 did not reach statistical significance, possibly due to the small numbers of individuals with a family history in this sample. However, the distribution (Table 1) suggests that the distribution of cytogenetic subtypes may be different in myeloma that is not associated with familial MGUS compared with myeloma in which a familial tendency is detected. IgH translocated MM appears to have a lower risk of familial tendency. Further investigation is needed to estimate the risk of familial MGUS within each cytogenetic subtype. Disclosures: Kumar: Merck: Consultancy, Honoraria; Millennium: Research Funding; Celgene: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Research Funding.

2020 ◽  
Vol 7 (3) ◽  
pp. 482
Author(s):  
J. K. Deshmukh ◽  
P. Y. Mulay ◽  
Amit G. Naghate ◽  
Anant A. Takalkar

Background: There is steady increase in the prevalence of diabetes mellitus from 0.73% to current 2.4% in rural and 4.0% to 11.6% in urban areas. Familial clustering of diabetes may support a genetic predisposition to diabetes. With increase in the prevalence of diabetes there is increase in number of first degree relative as well, thus an increased risk of developing diabetes, will also increase. To study the plasma glucose levels in First-degree relatives of family member of type 2 diabetic patients was the objective of the present study.Methods: It is a descriptive observational study with 1020 individuals serially coming to our outpatient Department for Pre-employment Medical Health Check Up Annual Health Check Up were selected. These individuals have been enrolled for the study and their family history of diabetes was noted, their sugar levels and their lipid levels were estimated and their body mass index was calculated. The data thus collected and analyzed with excel.Results: 184 (18%) individuals were FDRs, were as 836 (82%) individuals were Non-FDRs. There were 754 (74%) males [131(17%) FDR and 623(83%) Non-FDR], were as 213 (26%) females [53(20%) FDR and 213(80%) Non-FDR], 61(6%) individuals were having Diabetic Mother, 91(9%) individuals had Diabetic Father and 32(3%) were those in whom both the Parents were Diabetic. It was found that maternal history has strong association for getting abnormal BSL levels as compared to a diabetic father as the RR of 9.82 (95% 4.84 to 19.95) in individuals with mother being diabetic, and RR of 1.54(95% 0.68 to 3.87) of father being diabetic.Conclusions: Family history of diabetes, maternal history of diabetes and history of both the parents having diabetes are risk factors for diabetes in FDRs.


2022 ◽  
pp. 174749302110690
Author(s):  
Charlotte CM Zuurbier ◽  
Jacoba P Greving ◽  
Gabriel JE Rinkel ◽  
Ynte M Ruigrok

Background: Preventive screening for intracranial aneurysms is effective in persons with a positive family history of aneurysmal subarachnoid hemorrhage (aSAH), but for many relatives of aSAH patients, it can be difficult to assess whether their relative had an aSAH or another type of stroke. Aim: We aimed to develop a family history questionnaire for people in the population who believe they have a first-degree relative who had a stroke and to assess its accuracy to identify relatives of aSAH patients. Methods: A questionnaire to distinguish between aSAH and other stroke types (ischemic stroke and intracerebral hemorrhage) was developed by a team of clinicians and consumers. The level of agreement between the questionnaire outcome and medical diagnosis was pilot tested in 30 previously admitted aSAH patients. Next, the sensitivity and specificity of the questionnaire were assessed in 91 first-degree relatives (siblings/children) of previously admitted stroke patients. Results: All 30 aSAH patients were identified by the questionnaire in the pilot study; 29 of 30 first-degree relatives of aSAH patients were correctly identified. The questionnaire had a sensitivity of 97% (95% confidence interval (CI) = 83–100%) and a specificity of 93% (95% CI = 84–98%) when tested in the first-degree relatives of stroke patients. Conclusion: Our questionnaire can help persons to discriminate an aSAH from other types of stroke in their affected relative. This family history questionnaire is developed in the Netherlands but could also be used in other countries after validation.


2018 ◽  
Vol 21 (4) ◽  
pp. E8
Author(s):  
Ernestine Clements ◽  
Lena Gamble ◽  
Nathan Way ◽  
Lacy Smith ◽  
John B. Waits

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 175-175
Author(s):  
Frederick S. Albright ◽  
Neeraj Agarwal ◽  
William Thomas Lowrance ◽  
Robert A Stephenson ◽  
Anitha Alex ◽  
...  

175 Background: There are few published reports of relative risk (RR) for LPC based on family history of prostate cancer (PC) lethality. This study provides LPC RR using complete LPC family history data obtained from a statewide Cancer Registry linked to a genealogy database. Methods: The Utah Population Data Base (UPDB), which includes a statewide SEER cancer registry, includes 1,192,768 individuals with at least 12 of their 14 immediate ancestors. All males (probands) with specific LPC constellations were identified in the UPDB, and the observed number of LPC cases among these probands was compared to the expected number of LPC cases using internal cohort-specific rates from Utah death certificates including all deceased males with no 1st, 2nd, or 3rd degree relatives with LPC. LPC Family history was estimated for 1st degree to 3rd degree relatives for: number of LPC relatives affected, paternal versus maternal family history, and age at first PC diagnosis. Results: 3,921 individuals in UPDB were diagnosed with histologically confirmed PC, and had a Utah death certificate indicating PC as a cause of death and were designated LPC. The RR for LPC was significantly elevated with each additional first-degree relative (FDR) with LPC; even in the absence of FDR family history of LPC, significantly increased risk for LPC was observed in the presence of at least 1 LPC affected second degree relative (SDR). In the absence of positive FDR and SDR family history for LPC, there was still increased risk for LPC for males with 2 or more third degree relatives with LPC. Early age PC diagnosis in the LPC relative did not appear to affect LPC RR. Higher risks of LPC were associated with the maternal compared to the paternal lineages. Conclusions: Examination of lethal prostate cancer family history (in FDRs through TDRs) may be useful in identifying the cohort of men with prostate cancer most at risk for death from prostate cancer. Focused screening and treatment of this cohort holds potential to decrease the rates of undertreatment of lethal disease while avoiding over diagnosis and overtreatment in inconsequential disease.


2016 ◽  
Vol 43 (5) ◽  
pp. 944-947 ◽  
Author(s):  
Mercedes O. Chan ◽  
Ross E. Petty ◽  
Jaime Guzman ◽  

Objective.To determine the consequences of disregarding first-degree relatives with psoriasis (FRP) as a classification criterion in juvenile idiopathic arthritis (JIA).Methods.Criteria were examined in children from a prospective cohort with unclassified and psoriatic JIA.Results.FRP was the most common reason children were unclassified (57/85, 67%); all 57 children could be classified if FRP were disregarded as an exclusion criterion. FRP was a necessary inclusion criterion to classify 11/77 (14.3%) children with psoriatic JIA.Conclusion.Eliminating FRP as an exclusion criterion, but keeping it as an inclusion criterion in psoriatic JIA simplifies classification, though it is unclear whether the resulting classification would be better.


Author(s):  
Yu Tian ◽  
Elham Kharazmi ◽  
Hermann Brenner ◽  
Xing Xu ◽  
Kristina Sundquist ◽  
...  

Background: The aim of this study was to explore the risk of invasive colorectal cancer (CRC) in relatives of patients with colorectal carcinoma in situ (CCIS), which is lacking in the literature. Patients and Methods: We collected data from Swedish family-cancer datasets and calculated standardized incidence ratio (SIR) and cumulative risk of CRC in family histories of CCIS in first- and second-degree relatives. Family history was defined as a dynamic (time-dependent) variable allowing for changes during the follow-up period from 1958 to 2015. Of 12,829,251 individuals with available genealogical data, 173,796 were diagnosed with CRC and 40,558 with CCIS. Results: The lifetime (0–79 years) cumulative risk of CRC in first-degree relatives of patients with CCIS was 6.5%, which represents a 1.6-fold (95% CI, 1.5–1.7; n=752) increased risk. A similarly increased lifetime cumulative risk (6.7%) was found among first-degree relatives of patients with CRC (SIR, 1.6; 95% CI, 1.6–1.7; n=6,965). An increased risk of CRC was also found in half-siblings of patients with CCIS (SIR, 1.9; 95% CI, 1.1–3.0; n=18) and also in half-siblings of patients with CRC (SIR, 1.7; 95% CI, 1.3–2.1; n=78). Moreover, the increased risk of CRC was higher for younger age at diagnosis of CCIS in the affected first-degree relative and for younger age at diagnosis of CRC in the index person. Conclusions: Results of this study show that first-degree relatives and half-siblings of patients with CCIS have an increased risk of CRC, which is comparable in magnitude to the risk of those with a family history of invasive CRC. These findings extend available evidence on familial risk of CRC and may help to refine guidelines and recommendations for CRC screening.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3116-3116 ◽  
Author(s):  
Elisabet E. Manasanch ◽  
Sundar Jagannath ◽  
Hans C. Lee ◽  
Krina K. Patel ◽  
Connor Graham ◽  
...  

Background High risk smoldering multiple myeloma (HRSMM), defined as having immunoparesis and at least 95% abnormal plasma cells/all plasma cells by advanced flow cytometry, has a risk of progression to multiple myeloma of about 75% after 5 years of diagnosis. These patient have no symptoms and current standard is to follow them without treatment. Isatuximab is an IgG1 monoclonal antibody that binds to CD38 highly expressed in myeloma cells. Isatuximab has activity as monotherapy (overall response rate (ORR) 35%), with lenalidomide/dexamethasone (ORR 56%) and pomalidomide/dexamethasone (ORR 62%) in relapsed MM. We designed a phase II study to test the efficacy of isatuximab in high risk smoldering myeloma. Our study is registered in clinicaltrials.gov as NCT02960555. Methods The primary endpoint of the study is the ORR of isatuximab 20 mg/kg IV days 1, 8, 15, 22 cycle 1; days 1, 15 cycles 2-6 and day 1 cycles 7-30 in high risk smoldering myeloma. 24 patients were accrued in the first stage (of maximum 61 patients). Secondary endpoints are PFS, OS, clinical benefit rate (CBR). Exploratory endpoints are quality of life analysis (QoL), MRD, molecular/immune characterization using DNA/RNA sequencing of myeloma cells and the microenvironment before and after treatment. Results 24 patients with HRSMM were accrued from 02/08/2017 until 12/21/2018 (Table 1). All patients are evaluable for response. Best responses: ORR (≥PR) 15(62.5%), CR MRD- flow at 10-5 1 (5%), VGPR 4 (17%), PR 10 (42%), minor response (MR) 4 (18%), stable disease 5 (21%); CBR (≥MR) 79%. Median number of cycles received were 11.5 (range 6-30). Five patients have stopped treatment (one has completed the study, one with heavy history of smoking was diagnosed with squamous cell cancer of the tongue, one could no longer travel to treatments due to relocation, two progressed to active multiple myeloma after 16 and 6 cycles of treatment, respectively). There have been no deaths. DNA/RNA seq is ongoing for biomarkers of response. There were 5 grade 3 severe treatment-related adverse events (RAE) which resolved to baseline: dyspnea -related to infusion reaction (n=2), headache (n=1), ANC decrease (n=1), urinary tract infection (n=1). Most common grade 1-2 related adverse events (n): nausea (7), vomit (5), WBC decrease (3), diarrhea (3), fatigue (6), headache (4), mucositis (4), myalgia (4) and infusion reaction (3). In patients with available QoL functional scores (n=9 at baseline and n=7 after 6 months of therapy), isatuximab was effective in reducing their anxiety and worry of progression to multiple myeloma. Isatuximab also improved general QoL scores by the end of cycle 6 of treatment which were now comparable to those in the general population (Figure 1). Conclusion Isatuximab is very well tolerated, results in high response rates in HRSMM and has the potential to change the natural history of this disease. In ongoing QoL analysis, initial data shows improvement in QoL and decreased cancer worry after isatuximab treatment. Immune-genomic analysis is ongoing and may identify patients that benefit the most from treatment. Disclosures Manasanch: celgene: Honoraria; merck: Research Funding; quest diagnostics: Research Funding; sanofi: Research Funding; BMS: Honoraria; Sanofi: Honoraria. Jagannath:Multiple Myeloma Research Foundation: Speakers Bureau; BMS: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Medicom: Speakers Bureau; Merck: Consultancy. Lee:Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Patel:Poseida Therapeutics, Cellectis, Abbvie: Research Funding; Oncopeptides, Nektar, Precision Biosciences, BMS: Consultancy; Takeda, Celgene, Janssen: Consultancy, Research Funding. Kaufman:Janssen: Other: travel/lodging, Research Funding. Thomas:Xencor: Research Funding; BMS: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Mailankody:Takeda Oncology: Research Funding; Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; CME activity by Physician Education Resource: Honoraria. Lendvai:Janssen: Employment. Neelapu:Acerta: Research Funding; Celgene: Consultancy, Research Funding; BMS: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Incyte: Consultancy; Merck: Consultancy, Research Funding; Allogene: Consultancy; Cellectis: Research Funding; Poseida: Research Funding; Karus: Research Funding; Pfizer: Consultancy; Unum Therapeutics: Consultancy, Research Funding; Novartis: Consultancy; Precision Biosciences: Consultancy; Cell Medica: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding. Landgren:Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Merck: Other: IDMC. OffLabel Disclosure: Isatuximab for the treatment of smoldering myeloma


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 399-399
Author(s):  
Santiago Thibaud ◽  
Aaron Etra ◽  
Ryan Subaran ◽  
Zachry Soens ◽  
Scott Newman ◽  
...  

Abstract BACKGROUND: There is growing evidence supporting inherited predisposition to multiple myeloma (MM). Epidemiologic studies have shown that 1st-degree relatives of MM patients (pts) have a 2-4 fold increase in risk of developing MGUS or MM. Genome-wide association studies (GWAS) have identified common SNPs as well as rare high-penetrance variants that collectively explain ~16% of the estimated heritability of multiple myeloma (PMID 30213928). Pathogenic/likely-pathogenic germline variants (PGV) in hereditary cancer genes (HCG) are common in adult cancer patients (~8%, PMID 29625052), but prevalence in MM is not known. The aim of our study is to investigate the occurrence of PGV in newly-diagnosed MM (NDMM), and to describe clinical characteristics & outcomes of carriers. METHODS: We analyzed MMRF CoMMpass data (version IA16) and identified 895 NDMM pts for whom whole-exome sequencing of germline DNA was available. We used the clinical annotation pipeline from Sema4, a CLIA/CAP certified genetic testing laboratory, to identify pts with PGV according to ACMG variant classification guidelines. We compared clinical characteristics & disease phenotypes of PGV carriers vs non-carriers. We used Chi-Square and Fisher's Exact tests to assess statistical significance, which we defined as a two-sided p value < 0.05. Logistic regression models were used for multivariate analyses. Kaplan-Meier method and Cox proportional-hazards models were used for uni- and multivariate survival analysis, respectively. Bonferroni method was used to account for multiple testing. RESULTS: We identified 83 PGV in 31 distinct HCG in 79 (8.8%) of 895 NDMM pts (83% European ancestry) [Figure 1A]. Most PGV involved DNA damage repair (DDR) genes (78%), and homologous recombination (HR) genes were the most commonly mutated (34%). PGV in CHEK2 were the most common (n=10, 1.1% of all MM pts). 2 pts carried PGV in TP53 and reported extensive family history of Li-Fraumeni-associated cancers (breast, sarcoma, gastric & melanoma). 6 pts had germline mismatch repair (MMR) gene defects (1:149, considerably higher than the estimated prevalence of Lynch syndrome in Western populations). 4 pts carried PGV in BRCA2 (previously identified in a family study as a potential MM predisposition gene, PMID 11904319). MM pts with a family history of hematologic malignancy (leukemia, lymphoma or MM) in a 1st or 2nd-degree relative were significantly more likely to carry PGV (22 vs 7.6%, OR=3.3, p<0.001), an association that remained significant in MVA (OR=4.1, p<0.001). CHEK2 variants emerged as leading drivers of this correlation (OR 18.2, 95% CI 4.1-75, adjusted p<0.01), & especially protein-truncating founder variant c.1100delC. Likelihood of being diagnosed w/ MM before age 40 was significantly higher in PGV carriers (6.3 vs 1.8%, OR=3.7, p=0.025). 25% of those younger than 40 y/o carried PGV, but none of these were in DDR-HR genes, a notable difference with other age groups (0 vs 41%, p=0.02). 2/6 MMR PGV were detected in pts diagnosed before age 40. In univariate survival analysis, DDR-PGV carriers had a significant PFS1 advantage over non-carriers (median 52 vs 35 months, p=0.008), as well as a non-significant OS advantage (p=0.08). PFS1 difference remained significant in MVA after adjusting for age, ISS stage, high-risk cytogenetics, treatment type & transplant status (OR 0.65, 95% CI 0.44-0.97, p=0.03) [Figure 1B]. CONCLUSIONS: PGV in HCG were common (8.8%) in this large cohort of NDMM pts of predominantly European ancestry, especially in those with a family history of hematologic malignancy (1:4, with high prevalence of CHEK2 variants & particularly protein-truncating founder variant c.1100delC), and in those diagnosed before age 40 (1:4). Routine screening in high-prevalence subgroups might be warranted, as carriers may benefit from counseling and enrollment in early cancer detection programs. We observed a clinically and statistically significant PFS1 advantage in carriers of PGV in DDR genes, possibly due to increased sensitivity to MM therapies, a well-described phenomenon in other cancer types (PMID 33158305). Prospective validation of these findings is needed to better understand prognostic & therapeutic implications of PGV in MM. Figure 1 Figure 1. Disclosures Chari: Karyopharm: Consultancy; Takeda Pharmaceutical Company: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Novartis Pharmaceuticals: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Janssen Pharmaceuticals: Consultancy, Research Funding; Sanofi Genzyme: Consultancy; Oncopeptides: Consultancy; Antegene: Consultancy; Glaxosmithkline: Consultancy; Secura Bio: Consultancy. Richard: Karyopharm, Janssen: Honoraria. Richter: Sanofi: Consultancy; Antengene: Consultancy; Karyopharm: Consultancy; BMS: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Adaptive Biotechnologies: Speakers Bureau; Celgene: Speakers Bureau; Janssen: Speakers Bureau; X4 Pharmaceuticals: Consultancy; Oncopeptides: Consultancy; Adaptive Biotechnologies: Consultancy; Secura Bio: Consultancy; Astra Zeneca: Consultancy. Parekh: Foundation Medicine Inc: Consultancy; Amgen: Research Funding; PFIZER: Research Funding; CELGENE: Research Funding; Karyopharm Inv: Research Funding.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 1529-1529
Author(s):  
Jeannie Klavanian ◽  
Dana Zakalik ◽  
Anish S Konde ◽  
Tara Rangarajan

1529 Background: Multigene panel testing (MGT) is commonly utilized in patients with a personal or family history of cancer. One of the more common gene mutations identified is in the ATM gene, associated with a moderately increased risk of breast and other cancers. There are reports of an association with pancreatic cancer, however the exact risks are unclear. The aim of this study is to describe the family history of pancreatic cancer in a cohort of ATM mutation carriers, and to evaluate possible genotype/phenotype correlation. Methods: Patients who underwent MGT, between ‘13 and ‘19, and tested positive for a pathogenic/likely pathogenic ATM mutation were included in this study. Family history, with a focus on pancreatic cancer, and genetic testing results were analyzed. Results: A total of 114 patients were identified to carry an ATM mutation. Twenty-two (19.3%) individuals had a family history of pancreatic cancer in a close relative, and of those, 13 (11.4%) had an affected first degree relative, and 11 (9.6%) had an affected second degree relative. Among the families with pancreatic cancer, 20 close relatives had a personal history of pancreatic cancer, with the youngest diagnosed at age 40, the oldest diagnosed at age 91, and a mean age of diagnosis of 66.5 years. Thirteen unique variants were identified: 4 splice site, 3 missense, 3 frameshift, 1 nonsense, and 1 silent. Two families had the known high-penetrance ATM mutation, c.7271T > C (p.V2424G). Conclusions: This study describes the association of pancreatic cancer in individuals found to carry pathogenic ATM mutations. A significant proportion (19.3%) of patients had a family history of pancreatic cancer in a close relative, diagnosed as young as age 40. The mean age of diagnosis was slightly younger than the average age in the general population (age 70). As pancreatic cancer screening continues to improve, this information will be an important component to help guide cancer risk assessment and future screening recommendations for ATM mutation carriers. Additional larger studies are needed to further characterize pancreatic cancer risks in patients with ATM gene mutations.


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