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Treatment Selection and Practice Patterns for the Management of High-Risk Chronic Lymphocytic Leukemia (CLL) in the US: An Analysis of the Impact of Risk Stratification on Treatment Selection from the Connect CLL® Registry
Mato, Anthony R. , Nabhan, Chadi , Flowers, Christopher R. , Grinblatt, David L. , Lamanna, Nicole , Kozloff, Mark, Sullivan, Kristen , Flick, E. Dawn, Kiselev, Pavel , Bhushan, Shriya, Swern, Arlene S., Sharman, Jeff P. , Kay, Neil E. , Kipps, Thomas J.

Blood | October 10, 2019 | Volume: 126 | Issue: 23 | Pages: 4483-4483

10.1182/blood.v126.23.4483.4483 Get It

Abstract Introduction: Results of several large clinical trials have demonstrated inferior outcomes when CLL patients (pts) with del(17p), or to a lesser extent del(11q), are treated with chemoimmunotherapy. Despite recent advances in targeted therapies, management of unfavorable-risk CLL pts remains challenging. The Connect CLL registry is the largest prospective study describing real-world management of a diverse cohort of CLL pts. Here we describe the management of genetically unfavorable-risk CLL pts enrolled in the Connect CLL Registry, and test associations between del(17p)/del(11q) mutations and treatment choice, timing of therapy, and outcomes. Methods: Connect CLL is a longitudinal, multicenter, observational cohort study of 1,494 CLL pts enrolled between 2010-2014 at 179 community (n=1,311), 17 academic (n=155), and 3 government (n=28) sites within ≤ 2 months of initiating any line of therapy (LOT). For this study, pts were categorized into 3 risk-groups based on FISH or cytogenetic results at enrollment: unfavorable risk [either del(17p)/del(11q) positive]; favorable risk [absence of del(17p)/del(11q)]; and unknown risk (testing not performed). Analyses were stratified by LOT at enrollment (LOT1 vs LOT≥2). The risk of an EFS defining event was compared across risk-groups stratified by LOT, including only pts who had been followed for ≥ 2 years (yr) or those who had an EFS defining event (death, progression/relapse, transformation) within 2 yr, using multivariable (MV) logistic regression. Logistic regression analyses of 18 potential predictors were performed, and significant predictors (0.10 significance level) were then included in a MV logistic regression model to identify factors associated with inferior 2 yr EFS. Results: Of 1,494 pts enrolled, 225 had unfavorable risk [del(17p), n = 94; del(11q), n = 131], 621 favorable risk, and 648 unknown risk. For pts enrolled at LOT1 (n = 889), 141 had unfavorable risk, 425 favorable risk, and 323 unknown risk. Baseline characteristics for unfavorable-risk pts in LOT1 included: median age 69 yr (62% age ≥ 65 yr); 91% White; 53% Rai stage ≥ 2; 86% community sites; 0.9 yr median time from dx to LOT1; 8% family history CLL. With the exception of age, unfavorable-risk pts treated at LOT1 with FCR (median age 63) and BR (median age 74) had similar demographic characteristics. Median time from dx to LOT1 was 1.0, 1.3, and 2.0 yr for unfavorable risk, favorable, and unknown-risk pts, respectively (P < 0.001 for comparison of the 3 risk-subgroups). Reasons for initiating treatment in unfavorable-risk pts were lymphadenopathy (42%), bone marrow failure (36%), and lymphocytosis (33%) (similar across the 3 risk-subgroups). The three most common therapies for unfavorable-risk pts in LOT1 were FCR (36%), BR (21%), and FR (6%). Favorable-risk (FCR 26%, BR 24%, and R 10%) and unknown-risk pts (FCR 22%, BR 18%, and R 17%) were treated similarly in LOT1. Median time from dx to LOT≥2 was 3.5 yr in unfavorable-risk pts (vs 4.1 yr in favorable and 4.6 yr in unknown risk pts; P = 0.04 for comparison of the 3 risk-groups). For unfavorable-risk pts in LOT≥2, BR (26%), R (11%), and FCR (10%) were most commonly prescribed. At any LOT, only 10% of unfavorable-risk pts participated in a clinical trial and 4% underwent allogeneic SCT. Overall, 33% (LOT1) and 68% (LOT≥2) of pts experienced an EFS defining event within 2 yrs. Pts with unfavorable risk (vs favorable risk) had significantly worse outcomes, with a higher-risk of death/progression/relapse/transformation within 2 yr (LOT1: 42% vs 29%, respectively, P = 0.008; and LOT≥2: 80% vs 61%, P = 0.004). Unfavorable-risk pts treated with either FCR or BR at LOT1 had similar risk of an EFS defining event (odds ratio [OR] 0.9, CI 0.6-1.5). Results from MV analyses of LOT1 pts identified unfavorable risk (OR 1.9; 95% CI 1.1-3.1; P = 0.0168) and age ≥ 75 years (OR 2.6; 95% CI 1.5-4.3; P = 0.007) as independent predictors of inferior EFS at 2 yr. Conclusions: Although similar treatment approaches were used among the 3 risk-subgroups, pts with unfavorable-risk CLL had inferior outcomes at LOT1 and LOT≥2. These results, from a real-world setting, validate the findings for unfavorable risk pts from large clinical trials. These data underscore the importance of performing genetic risk stratification on all CLL pts, and support consideration of clinical trials and/or B cell receptor targeted agents for unfavorable risk CLL pts when treatment is considered. Disclosures Mato: Janssen: Consultancy; AbbVie: Consultancy, Research Funding; Genentech: Consultancy; Pronai Pharmaceuticals: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; TG Therapeutics: Research Funding. Nabhan:Celgene Corporation: Honoraria, Research Funding. Flowers:Celegene: Other: Unpaid consultant, Research Funding; Celegene: Other: Unpaid consultant, Research Funding; Spectrum: Research Funding; Infinity Pharmaceuticals: Research Funding; OptumRx: Consultancy; Onyx Pharmaceuticals: Research Funding; Janssen: Research Funding; AbbVie: Research Funding; Seattle Genetics: Consultancy; Onyx Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding; Gilead Sciences: Research Funding; Genentech: Research Funding; Acerta: Research Funding; Genentech: Research Funding; Janssen: Research Funding; Millennium/Takeda: Research Funding; Infinity Pharmaceuticals: Research Funding; Spectrum: Research Funding; Millennium/Takeda: Research Funding; Pharmacyclics: Research Funding; OptumRx: Consultancy; Gilead Sciences: Research Funding; AbbVie: Research Funding; Seattle Genetics: Consultancy; Acerta: Research Funding. Kay:Pharmacyclics: Research Funding; Genentech: Research Funding; Tolero Pharma: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Hospira: Research Funding. Kipps:Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor; Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor. Grinblatt:Celgene Corporation: Consultancy, Honoraria, Speakers Bureau. Lamanna:Genentech-Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kozloff:Genentech: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau; AbbVie: Consultancy. Sullivan:Celgene Corporation: Employment, Equity Ownership. Flick:Celgene Corporation: Employment, Equity Ownership. Kiselev:Celgene Corporation: Consultancy. Bhushan:Celgene Corporation: Employment, Equity Ownership. Swern:Celgene Corporation: Employment, Equity Ownership. Sharman:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Calistoga: Honoraria; Roche: Research Funding; TG Therapeutics, Inc.: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Janssen: Research Funding.
Patterns of Care of Aged Chronic Lymphocytic Leukemia Patients in the United States: Systematic Analysis of 457 Patients in the Connect CLL Registry
Nabhan, Chadi , Galanina, Natalie , Mato, Anthony R. , Grinblatt, David L. , Lamanna, Nicole , Weiss, Mark A. , Swern, Arlene S., Street, Thomas K., Kristen, Sullivan, Flowers, Christopher R. , Kay, Neil E. , Kipps, Thomas J. , Flinn, Ian W. , Kristen, Sullivan

Blood | October 10, 2019 | Volume: 124 | Issue: 21 | Pages: 4672-4672

10.1182/blood.v124.21.4672.4672 Get It

Abstract Introduction: The median age at diagnosis for CLL pts in the US is 72 years. As clinical trials in CLL have largely enrolled younger pt populations, data on disease and pts' characteristics, patterns of care, prognosis, and molecular features in aged CLL pts are limited. With this in mind, we conducted a prospective study to update critical demographic data and patterns of care for aged CLL pt. Patients and Methods: Connect®-CLL is a US-based prospective, longitudinal, multi-center, observational registry that is aimed at understanding patterns of CLL management without a study-specific intervention. We enrolled pts treated at an academic (n=155) or community (n=1340) setting between 2010 and 2014. Eligible pts were adults with a clinical diagnosis of CLL who required therapy 2 or less months after enrollment. Data on demographics, baseline characteristics, and treatment selection are presented here using descriptive statistics. Continuous variables are reported using appropriate measures of dispersion and central tendency (means, medians, ranges and standard deviations) while categorical variables are summarized as number and percentage of the analysis population. Results: Of 1495 enrolled pts, 457 (30.5%) were ≥75 years (57.3% males, 94.2% white). Rai stage III/IV was noted in 33% and B symptoms (predominantly fatigue (58.4%)) were observed in 68.1%. These and other clinical baseline characteristics appeared similar to pts younger than 75 years except that older pts had more prior malignancies (33.5% vs. 19.8%) and co-morbidities (69.3% vs. 53.6%). Cardiac, neurologic, and renal disorders were the most common morbidities in pts ≥75 years (11.5%, 8.8%, and 4.6% respectively). Imaging studies were performed in 157 (60.2%) older pts and in 416 (65.7%) pts less than 75 years prior to initial therapy. Percentage of pts with bulky nodes (> 5 cm) by imaging was similar in the two groups, 19.3% overall. Prognostic biomarker data were available on 247 pts (178 (72%) <75 years; 69 (28%) ≥75 years). While a higher proportion of older pts had CD38+ CLL (55.1% vs. 40.5%, P=0.038), the proportions of patients with ZAP-70+ CLL were similar between the two groups. In total, 137 (9%) older and 378 (25%) younger pts had 17p and 11q analysis by FISH at enrollment prior to first-line therapy. Of these, 27.0% of pts ≥75 years and 20.6% of pts <75 years had a deletion of either 17p or 11q (P=0.125). Out of all pts enrolled in the registry, 894 (60%) received first-line treatment (261 (29%) pts ≥75 years and 633 (71%) <75 years) as their indication for study entry. Amongst these treated pts, interim analysis shows (data cutoff date: 25 June 2014) progressive marrow failure was more commonly used as the indication for therapy in older pts compared to younger pts (52.1% vs. 38.5%; P<0.001), while splenomegaly was a more common cause for therapy in younger pts (16% vs. 9%; P<0.01). Rai stage III/IV at time of first therapy was 46% and 49% for younger and older pts, respectively. Progressive lymphocytosis was used as the indication for therapy in one third of pts regardless of age. Seventy-four percent of older CLL pts received first-line therapies containing rituximab (R) vs. 85% in pts <75 years (P<0.0001). R-bendamustine was the most common first-line regimen for CLL pts ≥75 (23.4%) while FCR was more commonly given to pts <75 years (32.5%). R-monotherapy was used in 18.8% of older pts versus 9.5% in pts <75 years (P<0.0001). Of note, approximately 25% of CLL pts ≥75 years did not receive R-based regimens for initial therapy. Conclusions: Connect®-CLL is the largest prospective, multicenter CLL registry in the United States. CLL Pts ≥75 years more frequently overexpress CD38 and may more commonly demonstrate high risk cytogenetics by FISH, although the difference did not reach statistical significance. Pts ≥75 years also more commonly had co-morbid diseases, and surprisingly 25% did not receive first-line R-based therapy. CLL pts are rarely included in front-line clinical trials (<3%). Given that novel therapies are increasingly available for CLL patients a continued analysis is warranted to determine their use in elderly vs younger patients as well. A longer follow up is needed to evaluate the impact of these findings on outcomes. Disclosures Nabhan: Celgene: Honoraria, Research Funding. Off Label Use: Lenalidomide in CLL. Kay:Celgene: Research Funding. Mato:Genentech, Celgene, Millenium: Speakers Bureau. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kipps:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lamanna:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weiss:Celgene: Consultancy. Flinn:Celgene: Research Funding. Swern:Celgene: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Kristen:Celgene: Employment, Equity Ownership. Flowers:Celgene, Prescription Solutions, Seattle Genetics, Millennium (unpaid), Genentech (unpaid) : Consultancy; Gilead, Spectrum, Millennium, Janssen: Research Funding.
Early progression of disease as a predictor of survival in chronic lymphocytic leukemia
Ahn, Inhye E. , Grinblatt, David L. , Lamanna, Nicole , Mato, Anthony R. , Nabhan, Chadi , Kiselev, Pavel , Swern, Arlene S., Flick, E. Dawn, Sullivan, Kristen , Sharman, Jeff P. , Flowers, Christopher R. , Farber, Charles Michael , Davids, Matthew S. , Kay, Neil E.

Blood Advances | October 10, 2019 | Volume: 1 | Issue: 25 | Pages: 2433-2443

10.1182/bloodadvances.2017011262 | PMID 29296893 Get It

Key Points Early progression of disease within 2 years of initial therapy independently predicts inferior survival in CLL. Early progression of disease is a robust clinical end point and a useful posttreatment risk stratification tool.
Reasons for Initiation of First-Line Therapy and Early Outcomes for Patients (Pts) with Rai 0/1 Chronic Lymphocytic Leukemia (CLL): An Analysis of the Connect CLL® Cohort Study
Flowers, Christopher R. , Nabhan, Chadi , Mato, Anthony R. , Lamanna, Nicole , Grinblatt, David L. , Kozloff, Mark, Sullivan, Kristen , Flick, E. Dawn, Kiselev, Pavel , Bhushan, Shriya, Swern, Arlene S., Sharman, Jeff P. , Kay, Neil E. , Kipps, Thomas J.

Blood | October 10, 2019 | Volume: 126 | Issue: 23 | Pages: 3284-3284

10.1182/blood.v126.23.3284.3284 Get It

Abstract The majority of pts with newly diagnosed CLL are classified with Rai stage 0 or 1 disease and typically experience an indolent clinical course. However, little is known regarding the reasons for initiating therapy in this population or patterns of initial treatment in the contemporary era of our practicing community. We utilized data from the Connect CLL registry, a US-based multi-center, prospective observational cohort study that is aimed at understanding patterns of CLL management without a study-specific intervention. Eligible pts were adults with a clinical diagnosis of CLL who initiated therapy ≤2 months prior to enrollment, and were enrolled from academic (n=155), community (n=1311), or government (n=28) sites between 2010-2014. Descriptive statistics were applied to examine data on demographics, baseline characteristics, treatment selection, early treatment outcomes, and reasons for initiating therapy that were reported for pts with Rai 0/1 CLL receiving first-line therapy. Multivariable logistic regression models were constructed to evaluate predictors of complete response (CR) and event-free survival (EFS) defined as the occurrence of the first of disease progression, relapse or death within 24 months of enrollment. Among 684 pts who received first-line therapy at enrollment and for whom Rai stage was available, 363 had Rai 0/1 CLL. This group had a median age of 68 years (range 41-90); 94% were white, 60% male, 98% insured, and 93% were treated in community practices; 47% had Rai stage 0 disease (54% Binet A); 33% had ≥1 constitutional symptoms; 96% had ECOG performance status of 0 or 1; 35% had conventional cytogenetics and 53% had FISH analysis performed. Among pts for whom cytogenetic or FISH analysis were performed, 159 (72%) were abnormal, of them 37 pts (23%) had del(11q), 104 pts (65%) had del(13q), 33 pts (21%) had trisomy 12, and 20 pts (13%) had del(17p) by conventional cytogenetics and/or FISH, including 8% with del(17p) by FISH. The median time from diagnosis to initiation of therapy was 2.5 years (range 0-20 years) for Rai 0/1 pts compared with 0.5 years for pts enrolled with Rai stage ≥2 (range 0-32). The most common reasons for initiating therapy (with >1 reason possible) in Rai 0/1 CLL were: bulky or progressive or lymphadenopathy (40%), progressive lymphocytosis (39%), any disease-related symptom (weight loss, fatigue, fever, night sweats; 28%), anemia (20%), and thrombocytopenia (15%); 42% of pts had >1 reason for initiation. The most common first-line regimens used in this cohort were: fludarabine/cyclophosphamide/rituximab (FCR; 29%), bendamustine/rituximab (BR; 20%), and rituximab alone (12%). Of the 317 pts who either responded to treatment during the first 24 months of enrollment or were followed ≥24 months, 143 pts (45%) achieved CR (investigator assessed as per protocol) and 264 (83%) achieved CR or partial response. Female gender (odds ratio [OR] = 2.22), treatment with BR or FCR (OR = 3.41), and time from diagnosis to therapy (OR = 0.92; with each year increase in time from diagnosis to initiation of therapy, relative odds of CR decreases by 8%), were independent predictors of CR. Of the 311 evaluable pts, 82 pts (26%) experienced an EFS event during the 24 months on study, of which 19 (23%) were deaths and 48 (59%) were progressions. Age ≥75 years (OR = 4.46), lymphocytosis as a reason for therapy initiation (OR = 1.89), and male gender (OR = 1.73) were independent predictors of an EFS event within 24 months. The Connect CLL registry represents the largest comprehensive prospective cohort of CLL pts collected from multiple practices across the US. In concordance with other studies, pts with Rai 0/1 initiated therapy approximately 2.5 years following CLL diagnosis and included a cohort of pts with poor prognostic FISH characteristics. Although chemoimmunotherapy was associated with a significantly higher likelihood of CR, progressive lymphocytosis as a reason for initiating therapy (and not any form of treatment) was more likely to predict an early EFS event. Approaches using novel agents or combination therapies aimed towards addressing pts with progressive lymphocytosis should be considered in future studies. Disclosures Flowers: Seattle Genetics: Consultancy; OptumRx: Consultancy; AbbVie: Research Funding; Pharmacyclics: Research Funding; Gilead Sciences: Research Funding; Genentech: Research Funding; AbbVie: Research Funding; Celegene: Other: Unpaid consultant, Research Funding; Spectrum: Research Funding; Onyx Pharmaceuticals: Research Funding; Spectrum: Research Funding; Acerta: Research Funding; Gilead Sciences: Research Funding; Janssen: Research Funding; Infinity Pharmaceuticals: Research Funding; Infinity Pharmaceuticals: Research Funding; Janssen: Research Funding; Millennium/Takeda: Research Funding; Onyx Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding; Acerta: Research Funding; Millennium/Takeda: Research Funding. Nabhan:Celgene Corporation: Honoraria, Research Funding. Kay:Pharmacyclics: Research Funding; Genentech: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Hospira: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharma: Research Funding. Mato:AbbVie: Consultancy, Research Funding; Janssen: Consultancy; Celgene Corporation: Consultancy, Research Funding; Pronai Pharmaceuticals: Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Research Funding; Gilead: Consultancy, Research Funding; Genentech: Consultancy. Lamanna:Genentech-Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Grinblatt:Celgene Corporation: Consultancy, Honoraria, Speakers Bureau. Kipps:Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor; Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor. Kozloff:Roche: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau; AbbVie: Consultancy. Sullivan:Celgene Corporation: Employment, Equity Ownership. Flick:Celgene Corporation: Employment, Equity Ownership. Kiselev:Celgene Corporation: Consultancy. Bhushan:Celgene Corporation: Employment, Equity Ownership. Swern:Celgene Corporation: Employment, Equity Ownership. Sharman:TG Therapeutics, Inc.: Research Funding; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Research Funding; Calistoga: Honoraria; Celgene Corporation: Consultancy, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Roche: Research Funding.
Variation in Health-Related Quality of Life by Line of Therapy of Patients with Chronic Lymphocytic Leukemia
Flowers, Christopher R. , Weiss, Mark A. , Lamanna, Nicole , Grinblatt, David L. , Kozloff, Mark, Sharman, Jeff P. , Khan, Zeba M., Street, Thomas K., Swern, Arlene S., Sullivan, Kristen , Kay, Neil E. , Flinn, Ian W. , Kipps, Thomas J. , Lerner, Susan A. , Yu, Ren , Pashos, Chris Leo

Blood | October 9, 2019 | Volume: 120 | Issue: 21 | Pages: 3926-3926

10.1182/blood.v120.21.3926.3926 Get It

Abstract Abstract 3926 Introduction. Chronic lymphocytic leukemia (CLL) patients will have significant variation in signs and symptoms at initial presentation and across lines of therapy, with concomitant effect on patient health-related quality of life (HRQOL). HRQOL and other patient-reported outcomes, together with clinical outcomes, provide a more complete perspective on the burden of disease and facilitate a broader view of the impact of treatment regimens. This analysis evaluates whether the HRQOL of patients with CLL in the United States (US) varies at the time the patients are about to embark on various lines of therapy, and offers a baseline report from which subsequent longitudinal analysis post-treatment will be possible. Methods. Clinical and HRQOL data were collected in Connect®CLL, a prospective observational registry initiated in March 2010 involving centers in the US. Physicians provided data on the demographics and clinical characteristics of patients receiving therapy. HRQOL was self-reported by patients at enrollment using the Brief Fatigue Inventory (BFI, a symptom assessment tool), the EQ-5D (a non-disease-specific HRQOL instrument), and the Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu, a leukemia-specific HRQOL instrument). We characterized patients who had initial (First Line), second (Second Line) or subsequent (Higher Line) treatment regimens prior to initiation of regimens. Reported mean overall and/or domain-specific BFI, EQ-5D and FACT-Leu scores were analyzed by line of therapy. Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Evaluable data were reported on 1005 patients, enrolled from 161 centers (93% community, 7% academic). Patients were predominantly male (62%) and white (89%) with mean age at 69 (standard deviation [SD] 11) years. HRQOL scores by line of therapy are presented: The total FACT-Leu and FACT-G results, and the total EQ-5D Index and Visual Analogue Scale (VAS) results, consistently suggest that patients initiating first line therapy have somewhat better HRQOL compared with those initiating subsequent lines of therapy. FACT-Leu total scores of patients initiating first line therapy were associated with better physical and leukemia-specific considerations, and the EQ-5D total score was associated with better mobility and pain/discomfort. Conclusions. Initial results from the Connect® CLL Registry indicate that HRQOL prior to treatment is better among patients initiating first line therapy compared to patients initiating later lines of treatment. Future analyses should be conducted to determine what clinical or other factors may be associated with the HRQOL deterioration in patients initiating subsequent lines of therapy, so as to inform clinician decision making. Also, subsequent longitudinal analyses should be undertaken to determine how HRQOL might be affected by the different lines of therapy and the specific treatment regimens, as well as by their initial HRQOL and other patient factors. Disclosures: Kay: Celgene: Research Funding. Flowers:Celgene: Consultancy; Prescription Solutions: Consultancy; Seattle Genetics: Consultancy; Millennium: Research Funding, Unpaid consultancy, Unpaid consultancy Other; Genentech: Unpaid consultancy, Unpaid consultancy Other; Gilead: Research Funding; Spectrum: Research Funding; Janssen lymphoma research foundation: Membership on an entity's Board of Directors or advisory committees. Weiss:Celgene: Consultancy. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Flinn:Celgene: Research Funding. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kipps:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kozloff:Celgene: Consultancy. Lerner:Celgene Connect: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Consultancy; Pharmacyclics: Honoraria; Calistoga: Honoraria; Portola pharmaceuticals: Consultancy. Khan:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Swern:Celgene: Employment. Sullivan:Celgene: Employment. Pashos:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.
Varied phenotypes and management of immune checkpoint inhibitor-associated neuropathies
Dubey, Divyanshu , David, William S., Amato, Anthony A. , Reynolds, Kerry L. , Clement, Nathan F., Chute, Donald F., Mooradian, Meghan J. , Sullivan, Ryan J. , Guidon, Amanda C. , Cohen, Justine V, Lawrence, Donald P. , Dubey, Divyanshu , Cohen, Justine Vanessa

Neurology | August 13, 2019 | Volume: 93 | Issue: 11 | Pages: No page available

10.1212/wnl.0000000000008091 | PMID 31405908 Get It

Diarrhoea: interventions, consequences and epidemiology in the intensive care unit (DICE-ICU): a protocol for a prospective multicentre cohort study
Dionne, Joanna C. , Sullivan, Kristen , Takaoka, Alyson, Duan, Erick , Alhazzani, Waleed , Duprey, Matthew S. , Armstrong, David , Thabane, Lehana , Tsang, Jennifer , Jaeschke, Roman , Hamielec, Cindy, Karachi, Tim , Cartin‐Ceba, Rodrigo , Cook, Deborah J, Mbuagbaw, Lawrence , Tsang, Jennifer L Y , Alshahrani, Mohammed Saeed Saad , Thabane, Lehana , Sullivan, Kristen, Devlin, John W. , Moayyedi, Paul , Muscedere, John , Cook, Deborah J

BMJ Open | June 27, 2019 | Volume: 9 | Issue: 6 | Pages: e028237

10.1136/bmjopen-2018-028237 | PMID 31248929 Get It

Introduction Diarrhoea is a frequent concern in the intensive care unit (ICU) and is associated with prolonged mechanical ventilation, increased length of ICU stay, skin breakdown and renal dysfunction. However, its prevalence, aetiology and prognosis in the critically ill have been poorly studied. The primary objectives of this study are to determine the incidence, risk factors and consequences of diarrhoea in critically ill adults. The secondary objectives are to estimate the incidence of Clostridium difficile- associated diarrhoea (CDAD) in ICU patients and to validate the Bristol Stool Chart and Bliss Stool Classification System characterising bowel movements in the ICU. Our primary outcome is the incidence of diarrhoea . Our secondary outcomes include: CDAD, ICU and hospital mortality and ICU and hospital length of stay. Methods and analysis This international prospective cohort study will enrol patients over 10 weeks in 12 ICUs in Canada, the USA, Poland and Saudi Arabia. We will include all patients 18 years of age and older who are admitted to the ICU for at least 24 hours and follow them daily until ICU discharge. Our primary outcome is the incidence of diarrhoea based on the WHO definition, during the ICU stay. Our secondary outcomes include: CDAD, ICU and hospital mortality and ICU and hospital length of stay. We will use logistic regression to identify factors associated with diarrhoea (as defined using WHO criteria) and the kappa statistic to measure agreement on diarrhoea rates between the WHO definition and the Bristol Stool Chart and Bliss Stool Classification System. Ethics and dissemination The protocol has been approved by the research ethics board of all participating centres. The diarrhoea interventions, consequences and epidemiology in the intensive care unit (DICE-ICU) study will generate evidence about diarrhoea and its frequency, predisposing factors and consequences, to inform critical care practice and future research. Lay summary Diarrhoea is a frequent clinical problem for hospitalised patients including those who are critically ill in the ICU. Diarrhoea can cause complications such as skin damage, dehydration and kidney problems. It is not clear how common diarrhoea is in the ICU, the factors that cause it or the best way for clinicians to assess it. The DICE-ICU study is an international prospective observational study to examine the frequency, risk factors and outcomes of diarrhoea during critical illness.
Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
Parsons, Michael T. , Tudini, Emma , Hahnen, Eric, Wappenschmidt, Barbara, Feliubadaló, Lídia , Aalfs, Cora M. , Agata, Simona, Aittomäki, Kristiina, Alducci, Elisa, Alonso‐Cerezo, María Concepción , Arnold, Norbert, Auber, Bernd , Austin, Rachel , Azzollini, Jacopo , Balmañà, Judith , Bartram, Claus R., Blümcke, Britta, Bonache, Sandra , Bonanni, Bernardo, Borg, Åke , Bortesi, Beatrice, Brunet, Joan , Bruzzone, Carla, Bucksch, Karolin , Cagnoli, Giulia , Caldés, Trinidad, Caliebe, Almuth , Calvello, Mariarosaria , Capone, Gabriele Lorenzo, Caputo, Sandrine M. , Carrasco, Estela , Caux‐Moncoutier, Virginie, Cavalli, Pietro, Cini, Giulia , Clarke, Edward , Cops, Elisa J., Cortesi, Laura , Couch, Fergus J., Darder, Esther , Debatin, Irmgard, Valle, Jesús Del , Delnatte, Capucine, Derive, Nicolas , Ditsch, Nina, Domchek, Susan M., Dutrannoy, Véronique, Eccles, Diana , Ehrencrona, Hans , Enders, Ute, Evans, D. Gareth , Farra, Chantal, Faust, Ulrike , Felbor, Ute , Feroce, Irène , Fine, Miriam, Galvão, Henrique C.R. , Gambino, Gaetana , Gehrig, Andrea, Gensini, Francesca , Germani, Aldo , Giesecke, J, Gómez, Carolina, Garcia, Encarna B., González, Sara , Grau, Èlia, Grill, Sabine , Groß, Eva, Guillaud‐Bataille, Marine , Gutiérrez‐Enríquez, Sara , Haaf, Thomas, Hackmann, Karl , Hansen, Thomas van Overeem , Harris, Marion, Hauke, Jan , Heinrich, T., Hellebrand, Heide, Herold, Karen, Honisch, Ellen, Horváth, Judit , Houdayer, Claude , Hübbel, Verena, Iglesias, Sílvia, Izquierdo, Á. , James, Paul A. , Janssen, Linda A.M., Jeschke, Udo, Kaulfuß, Silke , Keupp, Katharina, Kiechle, Marion , Kölbl, Alexandra C., Krieger, Sophie , Kruse, Torben A., Kvist, Anders , Lalloo, Fiona, Larsen, Mirjam, Lattimore, Vanessa , Lautrup, Charlotte Kvist , Ledig, Susanne, Leinert, Elena , Lim, Joanna , Loeffler, Markus, López‐Fernández, Adrià , Lucci‐Cordisco, Emanuela , Maass, Nicolai, Manoukian, Siranoush, Marabelli, Monica , Matricardi, Laura , Meindl, Alfons , Michelli, Rodrigo D., Moghadasi, Setareh , Moles‐Fernández, Alejandro , Montagna, Marco , Montalban, Gemma , Monteiro, Álvaro N.A. , Montes, Eva, Mori, Luigi , Müller, Clemens R., Mundhenke, Christoph , Naldi, Nadia, Nathanson, Katherine L. , Navarro, Matilde, Nichols, Cassandra , Niederacher, Dieter , Nielsen, Henriette Roed, Ong, Kai‐Ren , Pachter, Nicholas , Palmero, Edenir Inêz , Pedersen, Inge Søkilde , Peissel, Bernard , Pfeifer, Katharina, Pineda, Marta , Pohl‐Rescigno, Esther, Quante, Anne S. , Ramser, Juliane, Reis, Rui Manuel , Révillion, Françoise, Rhiem, Kerstin, Riboli, Barbara, Ritter, Julia, Rivera, Daniela , Rofes, Paula , Rump, Andreas , Salinas, Mónica, Abajo, A.M. SÁnchez De, Schmidt, Gunnar, Schoenwiese, Ulrike, Seggewiß, Jochen, Solanes, Ares, Stiller, Mathias , Sullivan, Kelly J., Susman, Rachel , Sutter, Christian , Tavtigian, Sean V. , Teo, Soo‐Hwang , Thomassen, Mads, Tibiletti, Maria Grazia , Tognazzo, Silvia , Tornero, Eva , Törngren, Therese , Torres‐Esquius, Sara , Trainer, Alison, Tucker, Kathy , Asperen, Christi J. van, Mackelenbergh, Marion van , Varesco, Liliana, Vargas‐Parra, Gardenia , Varon, Raymonda, Vega, Ana , Velasco, Ángela, Vesper, Anne‐Sophie, Viel, Alessandra , Vreeswijk, Maaike P.G. , Wagner, Sebastian , Waha, Anke, Walker, Logan C., Walters, Rhiannon, Wang‐Gohrke, Shan , Weber, Bernhard , Weichert, Wilko , Wieland, Kerstin, Wöckel, Achim , Woodward, Emma R. , Zachariae, Silke , Zampiga, Valentina , Zeder-Göß, C, Investigators, KConFab, Lázaro, Conxi, Nicolo, Arcangela De , Radice, Paolo , Engel, Christoph , Schmutzler, Rita K., Goldgar, David E. , Manoukian, Siranoush , Gómez, E. , Houdayer, Claude , de la Hoya, Miguel , Diez, Orland , Eccles, Diana , Gutiérrez-Enríquez, Sara , Susman, Rachel , Tavtigian, Sean V , Toland, Amanda Ewart , Toss, Angela , Vega, Ana , Vreeswijk, Maaike P G , Woodward, Emma R , Radice, Paolo , Spurdle, Amanda B , James, Paul , Parsons, Michael T , Teo, Soo H , Monteiro, Alvaro N , Auber, Bernd , Azzollini, Jacopo , Brunet, Joan , Darder, Esther , Ehrencrona, Hans , Evans, D Gareth , Matricardi, Laura , Palmero, Edenir I , Nathanson, Katherine L , Pineda, Marta , Cini, Giulia , Cortesi, Laura , Del Valle, Jesús , Engel, Christoph , Izquierdo, Angel , Montagna, Marco , Rump, Andreas , Viel, Alessandra , Reis, Rui Manuel , Montalban, Gemma , Calvello, Mariarosaria , Feliubadaló, Lidia , Gómez-García, Encarna B , González, Sara , Hansen, Thomas van Overeem , Hauke, Jan , Zampiga, Valentina , De Nicolo, Arcangela , Manoukian, Siranoush , Li, Hongyan , Hahnen, Eric , Agata, Simona , Barbieri, Elena , Blanco, Ana , Bonanni, Bernardo , Bruzzone, Carla, Caligo, Maria A. , Carnevali, Ileana Wanda , Cavalli, Pietro , Concolino, Paola , Hoya, Miguel de la , Dean, Michael , Dı́ez, Orland , Farra, Chantal, Foulkes, William D. , Gerdes, Anne‐Marie , Gismondi, Viviana , Garcia, Encarna B., Guerrieri‐Gonzaga, Aliana , Guillaud-Bataille, Marine , Jeschke, Udo , Lewis, Alexandra L. , Loeffler, Markus, Meindl, Alfons , Moserle, Lidia , Navarro, Matilde, Nevanlinna, Heli , Papi, Laura , Perez-Segura, Pedro , Pohl‐Rescigno, Esther, Poplawski, Nicola Kazia , Porfirio, Berardino , Révillion, Françoise, Rhiem, Kerstin , Steinemann, Doris , Stoppa‐Lyonnet, Dominique , Sullivan, Kelly J., Teulé, Àlex , Tischkowitz, Marc D. , Asperen, Christi J. van , Varesco, Liliana , Velasco, Àngela , Weber, Bernhard H. F., Wiesmüller, Lisa , Witzel, Isabell , Investigators, kConFab, Lázaro, Conxi, Spurdle, Amanda B. , Balmaña, Judith , Austin, Rachel

Human Mutation | May 27, 2019 | Volume: 40 | Issue: 9 | Pages: 1557-1578

10.1002/humu.23818 | PMID 31131967 Get It

Abstract P6-18-09: Clinical management of metastatic breast cancer (MBC) after CDK 4/6 inhibitors: A retrospective single-institution study
Giridhar, KV, Choong, Gerald , Leon-Ferre, RA, O'Sullivan, CC, Ruddy, KJ, Haddad, TC, Hobday, TJ, Peethambaram, PP, Moynihan, TJ, Loprinzi, CL, Liu, MC, Suman, VJ, Goetz, MP

Cancer Research | May 11, 2019 | Volume: 79 | Issue: 4_Supplement | Pages: P6-18-09-P6-18-09

10.1158/1538-7445.sabcs18-p6-18-09 Get It

Abstract Cyclin dependent kinase 4 and 6 inhibitors (CDK4/6i) are standard first line (1L) and second line (2L) treatments of ER+ MBC. However, the optimal treatment strategy after progression on a CDK 4/6i is unknown. Given concern for rapid disease progression after discontinuation of CDK4/6is (Bashour, J Cancer 2017), further data on responses to subsequent lines of therapy post CDK4/6i are needed. We performed a single institution retrospective review of patients (pts) with ER+ MBC who received 1L or 2L CDK4/6i to examine the prescribing patterns and clinical responses to post-CDK4/6i treatment. Methods: We identified 136 ER+ MBC pts prescribed a CDK4/6i at Mayo Clinic Rochester (from 12/2014 to 2/2018) on 1L or 2L who received at least 30 days of therapy and ≥ two clinic visits during treatment. For the 1L and 2L cohorts we assessed the time to treatment failure during (TTF-1) and after CDK4/6i therapy (TTF-2). TTF was defined as time from start of therapy to discontinuation for any cause. Additionally, we assessed overall survival (OS) post CDK4/6i discontinuation (defined as the date of TTF-1 to death or last follow up). Results: The study cohort included 81 and 55 pts treated with 1L and 2L CDK4/6is, respectively. In the 1L cohort, palbociclib/letrozole (82.3%) and palbociclib/fulvestrant (13.6%) were most commonly prescribed. Treatment was discontinued in 39/81 pts due to: progression (84.6%), intolerability (7.7%), and other (7.7%). The median TTF-1 was 19.7 mo (95% CI 11.2 – 25.4 mo). Subsequent treatment and response data were available in 37/39 pts that progressed on 1L CDK4/6i. The most commonly prescribed regimens included single-agent hormonal therapy (29.7%), everolimus/exemestane (27.0%), and single agent chemotherapy (21.7%). The overall median TTF-2 were as follows: everolimus/exemestane 13.2 mo [95%CI 0.33 mo – not reached (NR)]; single agent hormonal therapy 3.1 mo (95%CI 1.4 – 5.4 mo); and single agent chemotherapy 4.1 mo (95%CI 1.4 - 5.4 mo). With a median post-CDK4/6i follow up of 11.2 mo, we observed 8 deaths and the median OS-post CDK4/6i was NR. In the 2L cohort, common regimens were palbociclib/letrozole (63.6%) and palbociclib/fulvestrant (27.3%). Treatment was discontinued in 30/55 pts due to: progression (73.3%), intolerability (13.3%), and other (13.3%). The median TTF-1 in the 2L cohort was 8.3 mo (95%CI 4.6 – 12.7 mo). Subsequent treatment data were available in 24/30 pts and included single-agent hormonal therapy [n=7 (29.2%); median TTF-2 4.7 mo; 95%CI 1.9 – 14.0 mo], everolimus/exemestane [n=6 (25.0%); median TTF-2 3.2 mo, 95% CI 0.8-10.1 mo)] and single agent chemotherapy [n=6 (25.0%); median TTF-2 2.6 mo; 95%CI 1.7 mo – NR)]. With a median post-CDK4/6i follow up 18.7 mo in the 2L cohort, we observed 11 deaths, and the median OS-post CDK4/6i was 11.8 mo (95%CI 11.8 mo – NR). Conclusions: Single and combination-based endocrine strategies are commonly administered post-CDK4/6i without clinical evidence for rapid deterioration. The observation of a median treatment duration lasting &gt;12 months in patients receiving everolimus/exemestane post-CDK4/6i supports ongoing studies evaluating drugs that target PI3K/mTOR pathway in combination and following progression on a CDK4/6i. Citation Format: Giridhar KV, Choong GM, Leon-Ferre RA, O'Sullivan CC, Ruddy KJ, Haddad TC, Hobday TJ, Peethambaram PP, Moynihan TJ, Loprinzi CL, Liu MC, Suman VJ, Goetz MP. Clinical management of metastatic breast cancer (MBC) after CDK 4/6 inhibitors: A retrospective single-institution study [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P6-18-09.
Abstract OT3-02-08: Genetic analysis in blood, urine, stool and tumor samples from patients with advanced or metastatic estrogen receptor positive and HER2 negative breast cancer receiving palbociclib and endocrine therapy (PROMISE)
O'Sullivan, CC, Suman, VJ, Kalari, KR, Moyer, Ann M. , Moreno‐Aspitia, Alvaro , Northfelt, DW, Liu, MC, Haddad, TC, Chumsri, Saranya , Couch, FJ, Weinshilboum, RM, Wang, L, Goetz, MP, Sung, Jaeyun , Wang, L

Cancer Research | May 11, 2019 | Volume: 79 | Issue: 4_Supplement | Pages: OT3-02-08-OT3-02-08

10.1158/1538-7445.sabcs18-ot3-02-08 Get It

Abstract Background: Combining cyclin dependent 4/6 kinase inhibitors (CDK4/6i) with endocrine therapy (ET) has resulted in clinically significant improvements in progression-free survival (PFS) in persons with hormone-receptor (HR)-positive metastatic breast cancer (MBC). However, nearly all patients will progress on CDK4/6i and ET and the mechanisms associated with primary and secondary resistance are mostly unknown. The identification of biomarkers associated with response to CDK4/6i is therefore a major research priority. PROMISE is a multicenter prospective cohort study designed to perform a comprehensive “omic” assessment of blood, tumor, urine and the fecal microbiome to identify alterations in molecular or cellular features associated with primary endocrine resistance (e.g. disease progression ≤ 12 months on treatment) and acquired resistance to CDK4/6i. Additionally, patient derived xenografts (PDX) and organoids are generated to test new drug strategies designed to reverse resistance to CDK4/6i and ET. Methods: Eligible participants include women for whom palbociclib is recommended in combination with either letrozole (first-line) or fulvestrant (second-line) therapy for HR-positive MBC. As of July 2018, 14 patients have been enrolled; the target accrual is 250 patients, who will be followed over the course of 36 months and followed for at least 12 months after the close of enrollment. Blood and tumor biopsies are obtained at baseline, at the end of cycle 2, and at progression. Whole exome sequencing (germline and tumor) and RNAseq (whole transcriptome) are performed on tumor samples in a CAP/CLIA lab (TEMPUS) and results will be provided back to all patients for later use. Additionally, PDX and organoids are generated from tumor biopsies at baseline and during progression. Blood, stool, and urine samples are collected for additional correlative studies. The primary objective of this trial is to identify novel genomic variants and pathways associated with early progression (≤ 12 months) among women with advanced HR-positive breast cancer treated with palbociclib and ET. Secondary objectives include identification of the biomolecular features within the gut (stool) microbiome and exploration of the metabolomics and proteomics of ER-positive MBC. Results from the interrogation of these biospecimens will be critical to gain insights into treatment resistance. Funding is provided by Mayo Clinic Center for Individualized Medicine, TEMPUS, and an ASCO Career Development Award (COS). ClinicalTrials.gov Identifier: NCT03281902. Citation Format: O'Sullivan CC, Suman VJ, Kalari KR, Moyer A, Sung J, Moreno-Aspitia A, Northfelt DW, Liu MC, Haddad TC, Chumsri S, Couch FJ, Weinshilboum RM, Wang L, Goetz MP. Genetic analysis in blood, urine, stool and tumor samples from patients with advanced or metastatic estrogen receptor positive and HER2 negative breast cancer receiving palbociclib and endocrine therapy (PROMISE) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr OT3-02-08.