Citations

Abstract Presumably, reduced-intensity/nonmyeloablative conditioning (RIC/NMA) for allogeneic hematopoietic cell transplantation (alloHCT) results in reduced infections compared with myeloablative conditioning (MAC) regimens; however, published evidence is limited. In this Center for International Blood and Marrow Transplant Research study, 1755 patients (aged ≥40 years) with acute myeloid leukemia in first complete remission were evaluated for infections occurring within 100 days after T-cell replete alloHCT. Patients receiving RIC/NMA (n = 777) compared with those receiving MAC (n = 978) were older and underwent transplantation more recently; however, the groups were similar regarding Karnofsky performance score, HCT–comorbidity index, and cytogenetic risk. One or more infections occurred in 1045 (59.5%) patients (MAC, 595 [61%]; RIC/NMA, 450 [58%]; P = .21) by day 100. The median time to initial infection after MAC conditioning occurred earlier (MAC, 15 days [range, <1-99 days]; RIC/NMA, 21 days [range, <1-100 days]; P < .001). Patients receiving MAC were more likely to experience at least 1 bacterial infection by day 100 (MAC, 46% [95% confidence interval (CI), 43-49]; RIC/NMA, 37% [95% CI, 34-41]; P = .0004), whereas at least a single viral infection was more prevalent in the RIC/NMA cohort (MAC, 34% [95% CI, 31-37]; RIC/NMA, 39% [95% CI, 36-42]; P = .046). MAC remained a risk factor for bacterial infections in multivariable analysis (relative risk, 1.44; 95% CI, 1.23-1.67; P < .0001). Moreover, the rate of any infection per patient-days at risk in the first 100 days (infection density) after alloHCT was greater for the MAC cohort (1.21; 95% CI, 1.11-1.32; P < .0001). RIC/NMA was associated with reduced infections, especially bacterial infections, in the first 100 days after alloHCT.

Abstract Background: Prospective validation of breast cancer risk models integrating classical risk factors and genetic variants is required for risk-stratified prevention and screening strategies. The objective of this study was to validate a breast cancer risk model integrating classical risk factors and a 313-variant polygenic risk score (PRS) in multiple prospective cohort studies, and to project five-year risk of breast cancer in six different countries. Methods: The study population included 7,529 cases and 230,103 controls from 14 prospective cohort studies in Australia, Germany, the Netherlands, Sweden, UK, and USA. We used the Individualized Coherent Absolute Risk Estimator (iCARE) tool for risk model building, validation, and risk projection. Expected five-year risk of invasive or in situ breast cancer was compared to observed risk, overall and within deciles of expected risk using goodness of fit statistics. We evaluated calibration of the relative risk through meta-analysis across cohorts, and of the absolute risk within each cohort. Model discrimination was evaluated using the area under the curve (AUC), and percentages of women crossing risk thresholds. Projections of five-year risk distributions were estimated for women of European ancestry aged 50-70 years in the general populations of these six countries. Results: Analysis showed overall good calibration of the integrated iCARE-based model relative risk for both women younger than 50 years (χ2=14.9, P=0.09) and aged 50 years or older (χ2=14.6, P=0.10), with a small overestimation of risk for women in the highest decile of expected risk (RR = 3.5 expected vs 2.3 (95% CI 1.6 to 3.2) observed for women <50 years; and 2.8 expected vs 2.3 (95% CI 2.0 to 2.7) observed for women 50+ years). The age-adjusted AUCs for the integrated model were 63.1 (95% CI 60.9 to 65.3) and 62.9 (95% CI 61.8 to 64.0), for the two age groups respectively. The calibration of absolute risk showed substantial variation across cohorts, particularly for the older group, but had no systematic bias. Model based projections in the general populations showed that compared to the population average, women in the 1st and 99th percentiles of the integrated risk score had relative risks 0.19 and 3.56 respectively. The proportion of women of European ancestry aged 50-70 years with a five-year risk greater than 3% (threshold for consideration of risk-lowering drugs by U.S. Preventive Services Task Force) ranged from 7.1% in Germany to 18.2% in the US, which corresponds to ~5.5 million women in the US. Conclusions: Five-year risk predictions from a model with classical risk factors and PRS are well calibrated and provide substantial risk stratification across multiple cohorts in six different countries. Further studies are needed to evaluate the clinical utility of the validated model for risk stratified screening and prevention of breast cancer. Citation Format: Parichoy Pal Choudhury, Amber Wilcox, Chi Gao, Brian Carter, Anika Husing, Mark Brook, Mikael Eriksson, Kara Martin, Chris Scott, Min Shi, Thomas Ahearn, Michael Jones, Nick Orr, Minouk Schoemaker, Kamila Czene, Jenny Chang-Claude, Jacques Simard, Doug Easton, Marjanka K. Schmidt, Dale Sandler, Clarice R. Weinberg, Celine Vachon, Roger Milne, Per Hall, Anthony Swerdlow, Rudolph Kaaks, Myrto Barrdahl, Mia Gaudet, Antonis Antoniou, Peter Kraft, Montserrat Garcia-Closas, Nilanjan Chatterjee. Validation of breast cancer risk model incorporating classical risk factors and polygenic risk scores in 14 prospective cohort studies in 6 countries [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 962.

The 2017 World Health Organization update introduced a new category of nodal peripheral T-cell lymphoma with T-follicular helper phenotype (PTCL-TFH) defined by expression of at least 2 or 3 TFH markers. Our study assesses the utility of an immunohistochemical panel of 5 TFH markers (CD10, BCL6, PD-1, CXCL13, and ICOS) for identification of TFH phenotype in angioimmunoblastic T-cell lymphoma (AITL) and PTCL not otherwise specified (NOS). Immunohistochemical for the 5 markers was performed on 22 cases of AITL and 29 cases of PTCL-NOS. Cases were reviewed for morphologic features characteristic of AITL. All AITL cases showed expression of ≥2 TFH markers. This panel resulted in reclassification of 41% PTCL-NOS cases to PTCL-TFH. Positive percent agreement for the TFH phenotype is 97% for PD1, 94% for ICOS, 44% for CD10 and CXCL13, and 29% for BCL6. Negative percent agreement for TFH phenotype is 100% for CD10, BCL6, and CXCL13, 82% for ICOS and 71% for PD1. AITL cases were more likely than PTCL-TFH cases to contain expanded CD21-positive follicular dendritic cell meshworks, clear cell cytology and polymorphous inflammatory background; however, there was a significant (P<0.005) Kruskal-Wallis trend in all morphologic variables between the 3 groups suggesting a continuum from PTCL-NOS to PTCL-TFH to AITL. The median number of morphologic features of AITL also correlated significantly with number of TFH markers positive (Spearman coefficient ρ=0.759). In summary, the stain panel chosen will have an impact on cases classified as PTCL-TFH. This entity may exist along a spectrum between PTCL-NOS and AITL.

Abstract The presence of FMS-like receptor tyrosine kinase-3 internal tandem duplication (FLT3-ITD) mutations in patients with acute myeloid leukemia (AML) is associated with poor clinical outcome. FLT3 tyrosine kinase inhibitors (TKIs), although effective in kinase ablation, do not eliminate primitive FLT3-ITD+ leukemia cells, which are potential sources of relapse. Thus, understanding the mechanisms underlying FLT3-ITD+ AML cell persistence is essential to devise future AML therapies. Here, we show that expression of protein arginine methyltransferase 1 (PRMT1), the primary type I arginine methyltransferase, is increased significantly in AML cells relative to normal hematopoietic cells. Genome-wide analysis, coimmunoprecipitation assay, and PRMT1-knockout mouse studies indicate that PRMT1 preferentially cooperates with FLT3-ITD, contributing to AML maintenance. Genetic or pharmacological inhibition of PRMT1 markedly blocked FLT3-ITD+ AML cell maintenance. Mechanistically, PRMT1 catalyzed FLT3-ITD protein methylation at arginine 972/973, and PRMT1 promoted leukemia cell growth in an FLT3 methylation–dependent manner. Moreover, the effects of FLT3-ITD methylation in AML cells were partially due to cross talk with FLT3-ITD phosphorylation at tyrosine 969. Importantly, FLT3 methylation persisted in FLT3-ITD+ AML cells following kinase inhibition, indicating that methylation occurs independently of kinase activity. Finally, in patient-derived xenograft and murine AML models, combined administration of AC220 with a type I PRMT inhibitor (MS023) enhanced elimination of FLT3-ITD+ AML cells relative to AC220 treatment alone. Our study demonstrates that PRMT1-mediated FLT3 methylation promotes AML maintenance and suggests that combining PRMT1 inhibition with FLT3 TKI treatment could be a promising approach to eliminate FLT3-ITD+ AML cells.

Background:Patients (pts) with multiple myeloma associated with high cytogenetic risk abnormalities have poor outcomes. In CASTOR, D‐Vd prolonged progression‐free survival (PFS) vs bortezomib and dexamethasone (Vd) alone, and exhibited a manageable safety profile in pts with RRMM. We conducted a subgroup analysis of D‐Vd vs Vd in CASTOR, based on cytogenetic risk.Aims:The purpose of this analysis was to determine the efficacy and safety of D‐Vd in CASTOR based on cytogenetic risk status.Methods:Eligible pts received ≥1 prior line of therapy. Cytogenetic risk was based on a combined analysis of next‐generation sequencing (NGS) and fluorescence in situ hybridization (FISH)/karyotype testing. High‐risk pts had t(4;14), t(14;16), or del17p abnormalities. Standard (std)‐risk pts were confirmed negative for all 3 abnormalities. Minimal residual disease (MRD; 10–5) was assessed via NGS using clonoSEQ® assay V2.0.Results:In CASTOR (D‐Vd, n = 251; Vd, n = 247), high‐risk was confirmed in 26.7% and 25.9% of pts in the D‐Vd and Vd groups, respectively. At a median follow up of 40.0 months (mo), D‐Vd prolonged PFS vs Vd in pts with high‐ (median 13.4 vs 7.2 mo; HR, 0.40 [95% CI, 0.24–0.65]; P = 0.0002) or std‐risk (median 18.4 vs 6.8 mo; HR, 0.28 [95% CI, 0.20–0.37]; P <0.0001). Higher ORR was seen with D‐Vd vs Vd (high risk: 84.8% vs 60.0%; P = 0.0226; std risk: 85.4% vs 65.0%; P <0.0001), including deep responses of ≥CR (high risk: 33.3% vs 8.3%; std risk: 29.9% vs 10.2%) and ≥VGPR (high risk: 65.2% vs 35.0%; P = 0.0049; std risk: 64.3% vs 28.0%; P <0.0001). Higher rates of MRD negativity (high risk: 17.9% vs 0%; P = 0.0003; std risk: 13.3% vs 2.4%; P = 0.0003), and sustained MRD negativity for ≥6 mo (high risk: 16.4% vs 0%; P = 0.0006; std risk: 6.1% vs 1.8%; P = 0.0859) and ≥12 mo (high risk: 7.5% vs 0%; P = 0.0581; std risk: 1.8% vs 0%; P = 0.2477) were seen with D‐Vd vs Vd. D‐Vd significantly prolonged PFS vs Vd in pts with one prior line of therapy only (high risk: median 20.1 vs 8.4 mo; HR, 0.30 [95% CI, 0.14–0.64]; P = 0.0012; std risk: median 32.6 vs 7.9 mo; HR, 0.18 [95% CI, 0.11–0.29]; P <0.0001; Figure). Additionally, D‐Vd significantly prolonged PFS2 (high risk: median 27.9 vs 18.6 mo; HR, 0.59 [95% CI, 0.37–0.94]; P = 0.0258; std risk: median 40.1 vs 21.6 mo; HR, 0.43 [95% CI, 0.32–0.59]; P <0.0001) regardless of cytogenetic risk status.Additional data including safety analyses will be presented.Summary/Conclusion:Adding daratumumab to Vd demonstrates significant efficacy in pts with high‐risk RRMM including PFS2. Among high‐risk RRMM pts, MRD negativity was only achieved with D‐Vd. These findings support use of D‐Vd for high‐risk RRMM. NCT02136134image

Background:Multiple myeloma (MM) is a heterogeneous disease with varying survival outcomes depending on the presence of certain genetic abnormalities. Common abnormalities include trisomies, translocations involving the chromosome 14, and amplifications or deletions of chromosomes 1, 13, and 17. t(11;14), occurring in 15% of patients with myeloma, had been considered a standard risk abnormality, but recent data suggest inferior outcome. This is important as new therapeutic options such as the BCL‐2 inhibitor venetoclax has been shown to be particularly effective in t(11;14) patients.Aims: Primary objective: To describe the overall survival of myeloma patients with translocation t(11:14) Secondary objectives: To determine the response rates, progression free survival, time to progression, time to next treatment, duration of responses and overall survival with different regimens among patients with t(11;14), to determine the prognostic factors for overall survival among patients with t(11;14), and to identify the spectrum of co‐existing genetic abnormalities among patients with t(11;14)Methods:This was a multicenter study to identify the outcomes of patients with t(11;14), using a retrospectively assembled cohort. Patients with MM diagnosed between 2005 and 2015 with t(11;14) identified on FISH performed within six months of diagnosis, and with treatment details available and if alive, a minimum of 12 months of follow up, were enrolled.Results:The current analysis includes 848 patients; median age of 64.4 years; 60.0% male. The median follow‐up from diagnosis for the entire cohort was 46.5 months; 86.7% of the patients were alive at the last follow up. ISS stage distribution included: Stage I (35.3%), Stage II (38.9%) and Stage III (25.8%). The distribution of FISH abnormalities included: del 13q (14.5%), 1q amp (12.1%), del 17p or monosomy 17 (6.1%). Initial therapy included different regimens: 23.3% had an IMiD, 43.3% had a PI, 20.0% had both and 13.3% had no novel agent. The drug classes by line of therapy are shown in Table 1. A stem cell transplant (SCT), defined as within 12 months of start of first line treatment, was used in 39.1% of patients. The median time to next treatment (TTNT) after initial treatment was 13.7 (95% CI: 11.3 to 16.5) months. The median overall survival (OS) from diagnosis for the entire cohort was 82.5 (95% CI: 73.5 to 95.8) months; 4‐year estimates for those diagnosed from January 2005 to December 2009, and from January 2010 to December 2014 were 75.1% and 70.2%, respectively. Median OS by initial regimen is shown in Figure 1; those receiving an early SCT had median OS of 116.9 (95% CI: 85.6 to NA) months.Summary/Conclusion:This is the first study to examine the outcomes of a large group of myeloma patients with t(11;14) abnormality. Patients receiving a combination of a PI and an IMiD appear to have the best survival outcomes. Patients receiving an early SCT appear to have excellent survival with median OS approaching 10 years. Additional patients are being accrued to this study and additional analysis examining the variables affecting response duration and survival will be presented.image

Exhausted-like CD8 + resident memory T cells in the lung limit immune activation–driven fibrosis.