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  • 1
    In: The Lancet Diabetes & Endocrinology, Elsevier BV, Vol. 11, No. 12 ( 2023-12), p. 905-914
    Type of Medium: Online Resource
    ISSN: 2213-8587
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
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  • 2
    In: The Lancet Child & Adolescent Health, Elsevier BV, Vol. 8, No. 3 ( 2024-03), p. 190-200
    Type of Medium: Online Resource
    ISSN: 2352-4642
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
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  • 3
    In: The Lancet Oncology, Elsevier BV, Vol. 18, No. 12 ( 2017-12), p. 1688-1700
    Type of Medium: Online Resource
    ISSN: 1470-2045
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
    detail.hit.zdb_id: 2049730-1
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  • 4
    Online Resource
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    Springer Science and Business Media LLC ; 2002
    In:  Canadian Journal of Anaesthesia Vol. 49, No. S1 ( 2002-6), p. A60-A148
    In: Canadian Journal of Anaesthesia, Springer Science and Business Media LLC, Vol. 49, No. S1 ( 2002-6), p. A60-A148
    Type of Medium: Online Resource
    ISSN: 0832-610X , 1496-8975
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2002
    detail.hit.zdb_id: 2050416-0
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  • 5
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 4119-4119
    Abstract: Background: Prognosis of follicular lymphoma (FL) has long been defined by the FLIPI score (Solal-Céligny et al., 2004) which is a 5 factor risk model consisting of age, stage, lactate dehydrogenase, hemoglobin and number of nodal areas. The FLIPI model has been validated at diagnosis in both the pre- and post-Rituximab eras. However, many patients are initially observed and have prolonged lead time from diagnosis to first treatment. In this study, we investigated whether FLIPI risk group at diagnosis changed by the time of initial treatment, and whether change of FLIPI risk group impacted treated outcome. Patients and Methods: All adult (≥18 yo) patients with de novo follicular lymphoma (FL) treated at our center between 1998 and 2007 were evaluated. Study excluded patients with ≤2 follow up visits, known divergent of composite histology at diagnosis, and active concurrent malignancies. FLIPI was scored at diagnosis and at initiation of first treatment. For patients with missing FLIPI data, FLIPI category was scored if the omission did not alter the FLIPI category. Stable FLIPI risk group was defined as FLIPI score being low or intermediate at diagnosis and at initiation of first treatment (Low-Low, Int-Int). Progressed FLIPI risk group was defined by the population which changed categories from low or intermediate at diagnosis to a higher category at initiation of treatment (Low-Int, Low-High, Int-High). FLIPI scores were available for 570 patients at both diagnosis and initial treatment. Overall survival (OS) and progression free survival (PFS) were evaluated by Kaplan-Meier method and compared by log-rank tests. Time of diagnosis was used as time origin for OS analyses. When OS analyses involved FLIPI score at the first treatment, time of the first treatment was used as the entry time to adjust the risk sets to account for the fact that FLIPI at first treatment is unknown before the onset of the first treatment. Chi-squared tests and Fisher's exact tests were used to compare categorical variables by FLIPI score change status. Progression free survival before and after 24 months (PFS24) of initial therapy were calculated. Results: For 898 FL patients, median follow up was 9.2 years (range 0.23 - 16.84), median OS not reached. Based on FLIPI at diagnosis, the 5 year OS is 97.2% for low risk, 93.0% for int risk, and 80.2% for high risk, 10 yr OS is 90.9% for low risk, 77.7% for int risk, and 67.6% for high risk. Of 570 patients with FLIPI at diagnosis and first treatment, median time to first treatment was 0.18 years (range 0-12.5) for patients with stable FLIPI (N=280) and 2.70 years (range 0.01-13.33) for patients with progressed FLIPI (N=83). For patients observed ≥ 6 and 12 months, the median time to first treatment was 1.21 years (N=47, range 0.51-12.5) and 2.49 years (N=29, range 1.0-12.5) for patients with stable FLIPI and 3.77 years (N=62, range 0.54-13.3) and 3.92 years (N=57, range 1.13-13.3) for patients with progressed FLIPI, respectively. Progressed FLIPI was observed in 14.6% (83/570) of patients. The incidence of progressed FLIPI was 51.4% (57/111) in patients observed ≥1 year before initiating therapy. Parameters contributing to progressed FLIPI compared to stable FLIPI were decreased hemoglobin (29% versus 6%), increased nodal areas affected (43% versus 2%) and higher LDH (37% versus 5%). Patients with stable FLIPI had longer PFS at 12 and 24 months, 88.6% versus 73.8% (P=0.006) and 79.3% versus 66.1% (P= 0.031) (Figure 1). Analysis of patients initially observed ≥ 6 or 12 months demonstrated that progressed FLIPI negatively affected OS and PFS (Figure 2, observed ≥ 12 month data not shown). Median PFS for patients observed ≥ 6 months was 8.36 years for stable FLIPI, 3.14 years for progressed FLIPI. At observation of ≥ 12 months, median PFS was 6.25 and 3.22 years for stable and progressed FLIPI, respectively. Increased FLIPI was associated with increased risk of transformation throughout the disease course (25% vs 16%, P=0.039). Conclusion: Progressed FLIPI between diagnosis and first line treatment is associated with a reduced PFS, and increased incidence of histologic transformation. In patients who are initially observed, a progressed FLIPI reduces OS and PFS. The effect on PFS may be related to treatment bias and ongoing analysis is underway. Progressed FLIPI potentially identifies a population with heightened risk of transformation. Disclosures Hamlin: Seattle Genetics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Portola: Research Funding; Novartis: Research Funding; Molecular Templates: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; ADCT Therapeutics: Research Funding; Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy. Kumar:Celgene: Honoraria, Other: Scientific Advisory Board; Pharmacyclics: Research Funding; Seattle Genetics: Research Funding; Adaptive Biotechnologies: Research Funding; Celgene: Research Funding. Moskowitz:Bristol Myers Squibb: Honoraria; Merck: Honoraria; Seattle Genetics: Honoraria, Research Funding. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Palomba:Pharmacyclics: Consultancy. Zelenetz:Gilead Sciences: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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  • 6
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 1777-1777
    Abstract: BACKGROUND: Treatment may be safely deferred in asymptomatic patients with advanced stage, low tumor burden follicular lymphoma (FL) until onset of symptoms or organ failure without compromising overall survival (OS). A randomized trial comparing immediate rituximab vs. observation in this setting reported a Time to New Treatment benefit without a corresponding OS benefit (Ardeshna et al, Lancet Oncol 2014). This is a comparison of Time to 1st Treatment (TT1T, observation arm) vs. Time to 2nd Treatment (TT2T, rituximab arm) and thus biased to immediate intervention. TT2T might be a less biased primary endpoint for trials evaluating immediate intervention vs. observation. Time to Treatment n (TT(n)T) is a function of cumulative time spent from diagnosis in periods of observation, treatment, and remission, and TT(n)T approaches OS as n approaches the maximum number of therapies received, thus we also hypothesize that TT2T might be a surrogate for OS. We have therefore performed a comprehensive evaluation of standard endpoints (TT1T, OS, and EFS12), described TT2T as a novel endpoint for trials evaluating intervention vs. observation in asymptomatic patients with advanced stage, low tumor burden FL, and aimed to determine if TT2T is a reliable surrogate for OS. METHODS: We identified 246 consecutive patients at our institution, diagnosed from 1998 to 2007 with advanced stage, low tumor burden follicular lymphoma grade 1-3A, for whom physician intention at diagnosis was observation. Median time to event was calculated using the Kaplan-Meier method for each event: TT1T, TT2T, and OS. Modified Kendall's tau was used to assess the correlation between TT1T, TT2T, and OS, accounting for censoring in these quantities. Tests of modified Kendall's tau against 0 (i.e. no correlation) were performed. EFS12 was defined as non-death event within 12 months of initiation of first treatment, and median OS for EFS12 analysis was calculated from end of first treatment. Of 69 patients who received chemoimmunotherapy as first therapy following initial observation, the log-rank test was used to compare survival distributions by EFS12. RESULTS: Of 246 patients with advanced stage, follicular lymphoma grade 1-3A for whom physician intention at diagnosis was observation, there was a slight female predominance (1.16:1), 34.6% were above age 60 with a median age of 56.1 years (range 25-88), and 11.8% (29/246) developed histologic transformation prior to 1st/2nd therapy, including 7.7% (19/246) prior to 1st treatment. At a median follow-up of 10.9 years: median TT1T was 43.5 months (3.5-217.4+, 179 events), median TT2T was 151.8 months (range 5.2-219.6+, 101 events), and median OS was not reached (range 5.2-219.6+, 48 events). The modified Kendall's tau measuring correlation between TT1T and OS was 0.012 (p = 0.537), and was 0.078 (p 〈 0.001) between TT2T and OS, suggesting that TT2T is strongly correlated with OS while TT1T is not. Failure to achieve EFS12 was observed in 10.3% (7/68) and associated with inferior OS (p=0.001). Of 7 patients who failed to achieve EFS12, 3 had histologic transformation. CONCLUSIONS: TT2T is a preferred primary endpoint for clinical trials evaluating intervention vs. observation. In patients with advanced stage, low tumor burden FL who are initially observed, the median time from diagnosis to 2nd treatment is 12.7 years. Future trials evaluating the role of immediate therapy in low tumor burden FL might restrict eligibility to high risk patients expected to have inferior TT2T. Efforts are ongoing to develop biomarkers (e.g. m7-FLIPI) that identify a population enriched with high risk patients. Our data also suggest that TT2T might be a better surrogate for OS than TT1T, and analyses are ongoing to validate this finding. Figure 1 Figure 1. Disclosures Hamlin: Molecular Templates: Research Funding; Seattle Genetics: Research Funding; Portola: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; ADCT Therapeutics: Research Funding. Palomba:Pharmacyclics: Consultancy. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Noy:Pharmacyclics, LLC, an AbbVie Company: Other: travel, accommodations, expenses, Research Funding. Kumar:Celgene: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Seattle Genetics: Research Funding; Celgene: Honoraria, Other: Scientific Advisory Board. Zelenetz:Amgen: Consultancy; Takeda Pharma: Consultancy; Novartis: Consultancy; Nanostring Tech: Consultancy; Portola Pharmaceuticals: Consultancy; Adaptive Biotechnology: Consultancy; Bristol Myers: Research Funding; Boehringer Ingelheim: Other: DMC Membership; Janssen: Consultancy, Research Funding; Hospira: Consultancy; Celgene: Consultancy; Gilead: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Genentech/Roche: Consultancy, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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  • 7
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2955-2955
    Abstract: Introduction In their lifetime, patients with follicular lymphoma frequently require multiple treatments, which have improved their survival over the past few decades. The expected treatment outcome based on lines of treatment in the post-Rituximab era is currently unknown. We analyzed the progression free survival and event free survival by line of treatment to aid estimating clinical endpoints when designing future clinical trials for multiply relapsed patients. Patients and Methods Adults (≥18 years) with de novo follicular lymphoma (FL) treated at our center between 1998 and 2007 were eligible (N=1134). 236 patients with ≤2 visits, mixed histology at initial diagnosis, and active concurrent malignancy were excluded. Of the remaining 898 patients, 105 were observed and did not require treatment during the timeframe of this dataset, and 2 had incomplete data, therefore 791 patients were eligible for response, progression and event free survival (PFS and EFS) analysis (Figure 1). Response was documented by investigators based on clinical or radiographic assessment. Complete response was based on radiographic assessment. PFS was defined as start of treatment to progression of disease or death. Patients with inadequate response to treatment, change of treatment, or stable disease without subsequent documented relapse were censored in the PFS analysis. Events for EFS were defined as progression, change of treatment, and death. PFS and EFS of sequential lines of treatment were evaluated by Kaplan-Meier method and compared across lines using log-rank test with adjustment for within-patient correlation. PFS and EFS were compared by other clinical variables using regular log-rank tests. Results Median age of diagnosis was 57.3 years with 1:1 male to female ratio. Median overall survival was not reached with median follow up of 9 years (N=898, range 0.2 - 16.8 years, Figure 1A). Median time to first treatment for the entire group was 2.3 months (range 0 - 13.3 years). In first line treatment of the 791 patients, 51% (N=406) received Rituximab with chemotherapy (R-Chemo), 13% (N=101) received chemotherapy only (Chemo), 19% (N=150) received Rituximab monotherapy (R-Mono), and 17% (N=129) received other treatments including radiation and surgery. For second line treatment, 405 patients were treated with about 37% receiving R-Chemo and 34% receiving R-Mono. As line of treatment increased, the percentage of patients with radiographically assessed complete response diminished from 71% at first line treatment to 25% by fifth line treatment (Figure 1B). Median PFS for first, second and third line treatment are 4.8, 1.6, and 1 year, respectively (Figure 2A). Median EFS for first, second and third line treatment are 3.8, 1.1, 0.8 year, respectively (Figure 2B). For subsequent lines of treatment, both median PFS and EFS were 〈 1 year. Conclusion Follicular lymphoma is an indolent disease often requiring multiple lines of treatment. However, PFS and EFS for multiple lines of treatment in FL has not been described in the post-Rituximab era. The work has benchmarked the median response by line of treatment. After third line treatment, the PFS was ≤1 year. This analysis serves to aide comparison of different therapies for future drug approval in relapsed FL. Disclosures Hamlin: Xencor: Membership on an entity's Board of Directors or advisory committees; Portola: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Molecular Templates: Research Funding; Novartis: Research Funding; Seattle Genetics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees. Horwitz:Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; ADCT Therapeutics: Research Funding. Kumar:Celgene: Honoraria, Other: Scientific Advisory Board; Celgene: Research Funding; Adaptive Biotechnologies: Research Funding; Seattle Genetics: Research Funding; Pharmacyclics: Research Funding. Moskowitz:Merck: Honoraria; Seattle Genetics: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Palomba:Pharmacyclics: Consultancy. Zelenetz:Gilead Sciences: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 15_suppl ( 2014-05-20), p. e19031-e19031
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
    detail.hit.zdb_id: 2005181-5
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  • 9
    In: Molecular Ecology Resources, Wiley, Vol. 10, No. 3 ( 2010-05), p. 576-579
    Abstract: This article documents the addition of 220 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Allanblackia floribunda, Amblyraja radiata, Bactrocera cucurbitae, Brachycaudus helichrysi, Calopogonium mucunoides, Dissodactylus primitivus, Elodea canadensis, Ephydatia fluviatilis, Galapaganus howdenae howdenae, Hoplostethus atlanticus, Ischnura elegans, Larimichthys polyactis, Opheodrys vernalis, Pelteobagrus fulvidraco, Phragmidium violaceum, Pistacia vera, and Thunnus thynnus. These loci were cross‐tested on the following species: Allanblackia gabonensis, Allanblackia stanerana , Neoceratitis cyanescens, Dacus ciliatus, Dacus demmerezi, Bactrocera zonata, Ceratitis capitata, Ceratitis rosa, Ceratits catoirii , Dacus punctatifrons, Ephydatia mülleri , Spongilla lacustris , Geodia cydonium, Axinella sp., Ischnura graellsii, Ischnura ramburii, Ischnura pumilio , Pistacia integerrima and Pistacia terebinthus.
    Type of Medium: Online Resource
    ISSN: 1755-098X , 1755-0998
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 2406833-0
    SSG: 12
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  • 10
    In: The American Journal of Clinical Nutrition, Elsevier BV, Vol. 86, No. 2 ( 2007-08), p. 514-521
    Type of Medium: Online Resource
    ISSN: 0002-9165
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
    detail.hit.zdb_id: 1496439-9
    SSG: 12
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