Citations

Abstract Background: HLA associations for the risk of developing MM have been described in various non-Caucasian ethnic groups but have not revealed consistent results. Racial and genetic differences in cytokine polymorphisms linked to extended haplotypes; association of autoimmune disorders with HLA types; the proximity of the HLA Class I and II genes to TNF and other Class III genes responsible for complement and cytokines suggest that HLA polymorphisms may be associated with the risk of developing MM. Aim: We compared HLA-A,-B and -DRB1 2-digit allele and haplotype frequencies in patients with MM to the normal population in order to define HLA specificities associated with the risk of developing MM. Methods: A cohort of 1803 US Caucasian patients with MM were identified based on availability of HLA-A, B, DRB1 DNA-based typing or serologic typing converted to 2-digit alleles. These patients had either received a matched sibling allogeneic transplant for MM reported to the CIBMTR (N=174) or had HLA typing performed for an unrelated donor search conducted through the US National Marrow Donor Program (NMDP) (N=1629). HLA-A, B and DRB1 allele frequencies among patients were compared to A-B-DRB1 frequencies in HLA typed healthy US Caucasian controls (N= 433838) from the NMDP database. The most frequent alleles among patients and controls as well as HLA haplotype frequencies generated using the EM (expectation-maximization) algorithm were compared using Chi-Square analysis with Bonferroni correction for the number of comparisons. Results: Patients with MM had a median age of 49 (range 3–78) years and M/F ratio of 1.86 (1172/631). The controls had a median age of 44 (range 18–60) years and M/F ratio of 0.735 (183785/250053). Comparison of HLA-A, -B and –DRB1 single-locus allele frequencies between the myeloma patients and controls (those in the top 10 in either group) revealed similarity except for HLA-B*07 and B*44. B*44 was observed less frequently among the patients (a protective effect) frequency (f): 0.126 vs 0.145 (p= 0.005, Odds Ratio (OR): 0.848). On the contrary, HLA-B*07 was more common (a predisposing effect) among patients (OR: 1.135, p=0.047). Among the top 20 two locus (HLA-A-B and HLA-B-DRB1) haplotype frequencies in either group, B*44-DRB1*13 and B*07-DRB1*13 were significant: OR: 0.506 and 1.714 (p=0.003 and 0.007) respectively. A-B-DRB1 haplotype comparisons showed significance for: A*02-B*44-DRB1*04 (OR: 0.686, p=0.021), A*02-B*44-DRB1*13 (OR: 0.445, p=0.065) and A*02-B*07-DRB1*04 (OR: 1.968, p=0.029) confirming the single and B-DRB1 combination comparison results. Significantly different HLA-A, -B and -DRB1 single-locus allele or haplotype frequencies between patients and controls are shown in table 1. Conclusion: This is the largest epidemiologic study of HLA allele frequencies and the first study on HLA haplotype frequencies in MM. We observed a protective effect on the risk of developing MM with B*44 and a predisposing effect with B*07. Similar predisposing and protective haplotype associations were observed with A*02-B*07-DRB1*04 and A*02-B*44-DRB1*04 respectively. A revised analysis using a gender-matched control group is in progress. Further study including major histocompatibility region SNP mapping and candidate gene testing will help elucidate the genetic basis underlying this observation. Table 1. Allele/Haplotype Frequency Controls Frequency MM Odds Ratio (OR) P value (corrected) OR = odds of observing the allele/haplotype in patients compared to controls A*02-B*44-DRB1*13 0.00620 0.00277 0.445 0.065 B*44-DRB1*13 0.01359 0.00686 0.507 0.003 A*02-B*44-DRB1*04 0.02605 0.01813 0.686 0.021 B*44 0.14552 0.12618 0.848 0.005 B*07 0.13313 0.14836 1.134 0.047 B*07-DRB1*13 0.00814 0.01397 1.714 0.007 A*02-B*07-DRB1*04 0.00367 0.00721 1.968 0.029

Abstract As part of a randomized, prospective clinical trial in large cell lymphoma, we conducted serial fluorodeoxyglucose positron emission tomography (FDG-PET) at baseline, after 2 cycles of chemotherapy (interim PET [i-PET]), and at end of treatment (EoT) to identify biomarkers of response that are predictive of remission and survival. Scans were interpreted in a core laboratory by 2 imaging experts, using the visual Deauville 5-point scale (5-PS), and by calculating percent change in FDG uptake (change in standardized uptake value [ΔSUV]). Visual scores of 1 through 3 and ΔSUV ≥66% were prospectively defined as negative. Of 524 patients enrolled in the parent trial, 169 agreed to enroll in the PET substudy and 158 were eligible for final analysis. In this selected population, all had FDG-avid disease at baseline; by 5-PS, 55 (35%) remained positive on i-PET and 28 (18%) on EoT PET. Median ΔSUV on i-PET was 86.2%. With a median follow-up of 5 years, ΔSUV, as continuous variable, was associated with progression-free survival (PFS) (hazard ratio [HR] = 0.99; 95% confidence interval [CI], 0.97-1.00; P = .02) and overall survival (OS) (HR, 0.98; 95% CI, 0.97-0.99; P = .03). ΔSUV ≥66% was predictive of OS (HR, 0.31; 95% CI, 0.11-0.85; P = .02) but not PFS (HR, 0.47; 95% CI, 0.19-1.13; P = .09). Visual 5-PS on i-PET did not predict outcome. ΔSUV, but not visual analysis, on i-PET predicted OS in DLBCL, although the low number of events limited the statistical analysis. These data may help guide future clinical trials using PET response-adapted therapy. This trial was registered at www.clinicaltrials.gov as #NCT00118209.

Abstract Background: TNBC is the most aggressive sub-type of breast cancer and has limited targeted therapies. Atezolizumab was recently FDA-approved for patients with advanced PD-L1+ TNBC. In a well-characterized cohort of patients with early-stage TNBC, we used the FDA-approved PD-L1 SP142 companion assay for atezolizumab to score whole tumor sections for PD-L1 expression. We determined the frequency and scoring distribution of PD-L1 in these tumors and evaluated PD-L1 status for associations with clinicopathologic variables and outcomes. Methods: Whole tumor sections from 498 women with surgically-treated, non-(distant) metastatic TNBC (ER/PR <1% & HER2-negative by central review) were semi-quantitatively scored for % of PD-L1-staining tumor cells (TC) or tumor-associated immune cells (IC) (PD-L1 SP142, Ventana, performed in CAP/CLIA-certified clinical laboratory). Per FDA assay guidelines, PD-L1+ tumors were defined as ≥1% of tumor-associated immune cells (IC) staining per tumor area. Baseline clinical characteristics, histopathologic features, Ki-67 proliferative indices (PI), and stromal tumor infiltrating lymphocytes (TILs) were correlated with PD-L1 status. The impact of tumoral PD-L1 status on invasive disease-free survival (IDFS) and overall survival (OS) was assessed using Cox proportional hazards models. Results: The majority of tumors were pT1-T2 (95%), pN0-1 (85%), and grade 3 (90%) with Ki-67 >15% (80%). 228/498 (46%) tumors were PD-L1+, distributed as IC score 1-5%: 21%, 6-10%: 13%, 11-20%: 5% and >20%: 7%. 270/498 (54%) were PD-L1-. 43 (8.6%) of tumors had PD-L1 staining in TC (all but 1 were also IC+). PD-L1 IC expression was associated with larger tumor size (p = 0.005), higher nodal stage (≥pN1: 43% vs. 31%, p < 0.001), higher grade (grade 3: 95% vs. 86%, p< 0.001), higher Ki-67 PI (>15%: 88% vs. 69%, p <0.001), and stromal TILs (median score: 40% vs. 10%; p < 0.001). PD-L1 IC status was not associated with patient age. Among histologic subtypes, PD-L1+ tumors were more frequently medullary type (31% vs. 6%) and less frequently metaplastic type (4% vs 10%). At time of this analysis, median follow-up for IDFS and OS were 11 years and 7.2 years, respectively. By univariable analysis, absence of PD-L1 IC expression was associated with poorer IDFS (median: 15.5 vs. 20 years, p = 0.04) and OS (9.5 vs. 17.5 years, p < 0.05).By multivariable analysis, tumor size, stromal TILs, nodal status, and adjuvant chemotherapy (CTX) were significantly associated with IDFS. Age, stromal TILs, nodal status, and receipt of adjuvant CTX were associated with OS. PD-L1+ tumors trended toward improved IDFS (statistical significance not reached), HR: 0.68 (95% CI: 0.45-1.03, p= 0.068) but not OS: 0.90 (95% CI: 0.52-1.57, p= 0.32). Conclusion: Using the PD-L1 SP142 companion assay, almost half of early-stage TNBC were PD-L1+ (IC). However, PD-L1 expression correlated with increasing tumor size and nodal burden, as well as histologic grade, Ki-67 PI, stromal TILs and lymphocyte-enriched subtypes. PD-L1 was associated with improved IDFS and OS in univariable analysis but not multivariable analysis. The majority of the PD-L1+ tumors (73%) had IC scores ≤10%, with heterogeneous tumoral staining. Given the low (1%) assay threshold for positivity, these data emphasize the utility of evaluating PD-L1 in whole tumor sections rather than tissue cores. Citation Format: Jodi M Carter, Mei-Yin C Polley, Jason P Sinnwell, Roberto A Leon-Ferre, Fergus J Couch, Krishna R Kalari, Judy C Boughey, Minetta C Liu, Daniel W Visscher, Matthew P Goetz. Frequency, characteristics and prognostic factors of PD-L1+ triple negative breast cancer using the PD-L1 SP142 companion assay [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD1-08.

Abstract Background: Tumor-associated macrophages have been shown to play a critical role in metastasis, angiogenesis, and immune escape. Cancer associated macrophage-like cells (CAMLs) are circulating stromal cell with macrophage expression subtypes, detected in the peripheral blood of patients with solid tumors. We have previously shown that enlargement of CAML cells is an independent predictor of poorer overall survival and an indication of progression in patients with metastatic breast cancer (MBC). However changes in CAML sizes after induction of therapy has not been investigated. Here we evaluated the association between early changes in numbers and sizes of CAMLs as it relates to clinical response after induction of new therapy. Method: Peripheral blood samples from 29 patients with metastatic breast cancer who failed at least 2 prior lines of therapies were prospectively collected. Baseline (BL) blood samples were taken prior to initiation of a new therapy and the second samples (T1) were taken approximately 30 days after initiation of a new systemic therapy. Blood samples were filtered using CellSieveTM filtration. The quantity and size of CAMLs were measured then compared between the BL and T1 time points. Univariate analysis was used to determine the association of changes in CAML numbers and changes in CAML size, with objective response at the first follow up CT scan with progression free survival (PFS). Results: CAMLs were detected in 97% of BL samples (averaging 20.9 CAMLs/7.5ml blood) and 93% of T1 samples (averaging 18.5 CAMLs/7.5mL blood). At the time of the first follow up CT scan, 17 of 29 patients (58.6%) had progressive disease based on the RECIST criteria. Among those, 14 of 17 patients (82%) had an increase in CAML size (~85% overall enlargement) and 3/17 (18%) had a decrease CAML size (~60% overall shrinkage) in T1 samples compared to baseline. In contrast, 10 of 12 patients (83%) with clinical benefit, including stable disease and partial or complete response, had a 92% reduction in their CAML’s size and 2 of 12 patients (17%) had 61% enlargement in their CAML’s size after treatment. Overall, CAML size change after therapy induction was 83% accurate in predicting clinical benefit based on subsequent scans. Furthermore, patients with enlarging CAML size at T1 had significantly shorter PFS of 4 months compared to 10 months in patients with decreasing CAML size (HR 3.7; 95%CI1.5-10.1; p 0.020). Conclusion: CAMLs can be commonly found in most treatment-refractory metastatic breast cancer patients and their morphological size is clinically correlated to poorer survival. Our data suggests that monitoring the size changes of a patient’s CAMLs after 30 days of new treatment initiation may predict clinical benefit earlier than conventional scans and act as real time monitoring of MBCs response to new therapies. Additional studies are currently ongoing to validate these results. Citation Format: Saranya Chumsri, Markus D. Lacher, William V. Williams, R. K. Alpaugh, Stuart S. Martin, Rena Lapidus, Cha-Mei Tang, Massimo Cristofanilli, Daniel L Adams. Circulating cancer associated macrophage-like cells (CAMLs) are early predictors of response to new line therapies in metastatic breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-06-27.

Left bundle branch block may be due to conduction system degeneration or a reflection of myocardial pathology. Left bundle branch block may also develop following aortic valve disease or cardiac procedures. Patients with heart failure with reduced ejection fraction and left bundle branch block may respond positively to cardiac resynchronization therapy. Lead placement via the coronary sinus is the mainstay approach of cardiac resynchronization therapy. However, other options, including physiological pacing, are being explored. In this review, we summarize the salient pathophysiologic and clinical aspects of left bundle branch block, as well as current and future strategies for management.

8027 Background: A.R.R.O.W. demonstrated superior progression-free survival (PFS) with once-weekly K (70 mg/m2)-dexamethasone (Kd70) vs twice-weekly K (27 mg/m2)-dexamethasone (Kd27) in relapsed and refractory multiple myeloma (RRMM) pts, regardless of age. Weekly Kd70 is US-approved for relapsed or refractory MM (1–3 prior therapy lines). For a comprehensive fitness measure, frailty scales were developed incorporating age, comorbidities, and functional status. (Palumbo Blood 2015; Facon Blood 2015). Here we assessed post hoc pt outcomes by frailty status. Methods: PFS and safety were assessed by treatment arm and a frailty algorithm incorporating age, medical history–derived Charlson Comorbidity Index, and ECOG performance status; pts with frailty scores of 0, 1, or ≥2 were classified as fit, intermediate (int), or frail, respectively. PFS was assessed with the Kaplan-Meier method. Safety was assessed in pts who received ≥1 treatment dose. Results: Pt distribution by frailty status was generally balanced between arms (Table). Once-weekly Kd70 vs twice-weekly Kd27 resulted in median PFS for fit, int, and frail pts of 15.7 vs 5.7 (mos; HR 0.53 [95% CI, 0.33–0.86]), 11.1 vs 7.7 mos (HR 0.81 [95% CI, 0.55–1.19]), and 10.3 vs 6.6 mos (HR 0.76 [95% CI, 0.49–1.16]), respectively. Rates of grade ≥3 treatment-emergent adverse events (TEAEs) of interest were similar between treatment arms across frailty subgroups (Table). In the once-weekly Kd70 subgroups, there was no grade ≥3 peripheral neuropathy (PN); grade ≥3 cardiac failure rates were ≤4%. Conclusions: Once-weekly Kd70 resulted in PFS benefits vs twice-weekly Kd27 with a favorable benefit/risk profile regardless of frailty score as defined. These results support weekly Kd70 as a treatment option for both fit and frail RRMM pts. Clinical trial information: NCT02412878. [Table: see text]

557 Background: Aromatase inhibitors (AIs) are a novel hormonal therapy for breast cancer. However, AIs can cause bone loss by blocking estrogen production. This study aims to assess the association between AIs and treatment-related bone loss in a large managed care population of women with breast cancer. Methods: Using medical and pharmacy claims data from over 5 million beneficiaries between 01/01/1998 and 01/31/2005, we identified 12,368 patients with ≥ 2 breast cancer claims in a 6-month period, who also had no bone metastasis and no prior osteoporosis or fracture claims. Patients who received anti-estrogen therapy were also excluded to remove the protective confounding effects. 1,354 patients receiving an AI (anastrozole, exemestane, letrozole) were compared to 11,014 controls who did not receive an AI with respect to their risk of bone loss. The observation start date for the AI and control groups was defined as the service date of the first AI claim and breast cancer claim, respectively. The bone loss endpoints analyzed were osteoporosis (including osteopenia) and clinical fractures. Results: The univariate analysis found that the prevalence of osteoporosis was 8.7% in the AI group vs. 7.1% in the control group, resulting in a statistically significant relative risk of 1.3 (95% CI=1.1–1.6, p=0.01). The prevalence of bone fracture was also statistically significantly elevated in the AI group compared to the controls (13.5% vs. 10.3%) with a relative risk of 1.4 (95% CI=1.2–1.6, p=0.001). Multivariate Cox proportional hazards regressions showed that after adjusting for age and comorbidities, the risk of bone loss remained statistically significantly higher in the AI group than the non-AI group, with 27% (95% CI=4%-55%, p=0.02) and 21% (95% CI=3%-43%, p=0.02) increase in the risk of osteoporosis and fractures, respectively. Conclusions: This retrospective longitudinal analysis of a large cohort of breast cancer patients corroborates previous findings from smaller clinical trials and demonstrates that AI therapies carry an increased risk of bone loss. Monitoring and treatment management strategies to alleviate bone loss risk are warranted in women receiving AI for breast cancer. [Table: see text]

This selection from the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Bladder Cancer focuses on the clinical presentation and workup of suspected bladder cancer, treatment of non–muscle-invasive urothelial bladder cancer, and treatment of metastatic urothelial bladder cancer because important updates have recently been made to these sections. Some important updates include recommendations for optimal treatment of non–muscle-invasive bladder cancer in the event of a bacillus Calmette-Guérin (BCG) shortage and details about biomarker testing for advanced or metastatic disease. The systemic therapy recommendations for second-line or subsequent therapies have also been revised. Treatment and management of muscle-invasive, nonmetastatic disease is covered in the complete version of the NCCN Guidelines for Bladder Cancer available at NCCN.org . Additional topics covered in the complete version include treatment of nonurothelial histologies and recommendations for nonbladder urinary tract cancers such as upper tract urothelial carcinoma, urothelial carcinoma of the prostate, and primary carcinoma of the urethra.

Optimal post-remission therapy for adolescents and young adults (AYAs, 16-39 years) with Ph-negative (Ph-) acute lymphoblastic leukemia (ALL) in first complete remission (CR1) is not well established. We hypothesized that post-remission therapy with a pediatric-inspired regimen would yield superior outcomes to myeloablative allogeneic HCT for AYA patients with Ph- ALL in CR1. We compared overall survival (OS), disease-free survival (DFS), relapse, and non-relapse mortality (NRM) for patients receiving post-remission therapy on CALGB 10403 to a contemporary matched AYA cohort undergoing myeloablative allogeneic HCT in CR1 reported to the CIBMTR (Table). The allogeneic HCT cohort consisted of patients 16-39 years of age with Ph- ALL in CR1 undergoing myeloablative transplant from a matched sibling/relative or unrelated donor using peripheral blood or bone marrow stem cells between 11/2002 and 8/2012 in the United States. Patients receiving post-remission therapy with pediatric-inspired chemotherapy had superior OS (P<0.0001), DFS (P=0.0011), and NRM (P<0.001) compared to allogeneic HCT. Patterns of relapse were time-dependent and examined in the Cox model. In multivariate analysis of Cox model, receiving allogeneic HCT was associated with inferior OS (HR 1.99, 95% CI 1.5-2.65, P <0.001), inferior DFS (HR 1.51, 95% CI 1.17-1.94, P 0.002), and increased NRM (HR 3.93, 95% CI 2.53-6.10, P <0.001; Figure). In the early post-remission period (≤15 months after CR1), relapse was more likely with allogeneic HCT (HR 1.63, 95% CI 1.03-2.59, p=0.04) whereas beyond 15 months after CR1 relapse was more likely in the chemotherapy arm (HR 0.35, 95% CI 0.19-0.62, P <0.001; Figure). Obesity (BMI ≥30) was independently associated with inferior OS (HR 2.22, 95% CI 1.69-2.91, P<0.001), inferior DFS (HR 1.96, 95% CI 1.52-2.53, P <0.001), increased relapse (1.90, 95% CI 1.37-2.64, P <0.001), and increased NRM (HR 1.99, 95% CI 1.33-2.97, P <0.001). Extramedullary disease at diagnosis was independently associated with inferior OS (HR 1.34, 95% CI 1.00-1.79, P=0.05). We conclude from this large retrospective study that post-remission therapy with pediatric-inspired chemotherapy as given on CALGB 10403 was superior to allogeneic HCT in CR1 for OS, DFS, and NRM in AYAs with newly-diagnosed Ph-negative B- and T-cell ALL. Late relapse was more likely with chemotherapy whereas early relapse was more likely with allogeneic HCT. Future study should aim to elucidate the impact of measurable residual disease at CR1 and high-risk genetics, including Ph-like ALL, on the superiority of post-remission pediatric-inspired chemotherapy over allogeneic HCT. Figure. Allogeneic HCT (HCT) vs. CALGB 10403 pediatric-inspired chemotherapy (chemo) after CR1: Adjusted (left-truncated) overall survival, disease-free survival, cumulative incidence of relapse, and cumulative incidence of non-relapse mortality. Disclosures Wieduwilt: Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen, Leadiant, Merck, Servier: Research Funding; Reata Pharmaceuticals: Equity Ownership. Stock:Astellas: Membership on an entity's Board of Directors or advisory committees; Research to Practice: Honoraria; Kite, a Gilead Company: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; UpToDate: Honoraria. Advani:Macrogenics: Research Funding; Abbvie: Research Funding; Pfizer: Honoraria, Research Funding; Amgen: Research Funding; Kite Pharmaceuticals: Consultancy; Glycomimetics: Consultancy, Research Funding. Luger:Ariad: Research Funding; Biosight: Research Funding; Celgene: Research Funding; Cyslacel: Research Funding; Daichi Sankyo: Honoraria; Genetech: Research Funding; Jazz: Honoraria; Kura: Research Funding; Onconova: Research Funding; Pfizer: Honoraria; Seattle Genetics: Research Funding; Agios: Honoraria. Larson:Novartis: Honoraria, Other: Contracts for clinical trials; Agios: Consultancy; Celgene: Consultancy. Tallman:Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; BioLineRx: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Biosight: Research Funding; Nohla: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; ADC Therapeutics: Research Funding; KAHR: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cellerant: Research Funding; Tetraphase: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Delta Fly Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; UpToDate: Patents & Royalties; Oncolyze: Consultancy, Membership on an entity's Board of Directors or advisory committees; Rigel: Consultancy, Membership on an entity's Board of Directors or advisory committees. Kebriaei:Kite: Honoraria; Jazz: Consultancy; Amgen: Research Funding; Pfizer: Honoraria. Weisdorf:Pharmacyclics: Consultancy; Incyte: Research Funding; Fate Therapeutics: Consultancy.