7086 Background: The HRQOL of patients (pts) with chronic lymphocytic leukemia (CLL) has not been adequately delineated across patient, disease and treatment characteristics. We evaluated HRQOL of CLL pts undergoing treatment in the United States (US) by age, gender and line of therapy. Methods: Data were collected in Connect CLL, a prospective observational US registry. Physicians provided data on demographics, clinical characteristics and line of therapy at enrollment. HRQOL was self-reported by pts at enrollment using the Functional Assessment of Cancer Therapy-Leukemia, an instrument that yields a leukemia-specific total HRQOL score (FACT-Leu) and a cancer-specific total HRQOL score (FACT-G). Mean total scores were analyzed by line of therapy, age and gender. Statistical significance was ascertained by ANOVA using SAS 9.2. Multivariate analyses were conducted to assess the relative association of line of therapy, age and gender with HRQOL. Results: Among 1,252 pts enrolled from 161 geographically diverse centers (90% community, 8% academic, 2% veterans/military), pts were predominantly male (63%), white (89%) with mean age 69 yrs. Pts were categorized by line of therapy at enrollment: First 61%, Second 18%, Third 11%, Higher 9%; and by age group: <65 33%, 65-74 35%, 75+ 32%. Univariate analyses suggested that the total FACT-Leu score was significantly better in men than women (P=0.004); in pts aged 65-74 vs younger or older pts (P=0.033); and in pts initiating first-line treatment vs pts receiving subsequent treatments (P=0.0002). Similar results were found with the FACT-G score except that gender differences were not statistically significant. Multivariate analysis confirmed that line of therapy (P=0.007), gender (P<0.0001), and age group (P=0.039) were each associated with significant differences in the FACT-Leu total score. Conclusions: Results from the Connect CLL Registry indicate that HRQOL is better among pts initiating first-line therapy compared to pts initiating subsequent treatments, and that this remains true when age and gender are considered. Future analyses should determine how HRQOL may change over time relative to treatment and treatment response.
Variation in health-related quality of life (HRQOL) by ECOG performance status (PS) and fatigue among patients with chronic lymphocytic leukemia (CLL).
6122 Background: Clinicians and investigators commonly use ECOG PS and clinician-reported patient (pt) fatigue as surrogates for HRQOL, a multi-faceted construct that comprehensively looks at the pt perspective on disease and well-being. Because limited data exist on the relationships between PS, fatigue, and HRQOL for CLL pts, we examined the associations between these measures, and 3 validated HRQOL instruments: the Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu), EQ-5D, and Brief Fatigue Inventory (BFI). Methods: Data were collected in CONNECT CLL, a prospective US observational registry initiated in 2010. Patient demographics and clinical characteristics were provided by clinicians. Patient HRQOL was self-reported at enrollment using the FACT-Leu, EQ-5D, and BFI. Scores were analyzed by ECOG PS (0, 1, 2-4) and clinician-reported fatigue (yes, no). Differences in HRQOL scores were assessed by ANOVA. Results: HRQOL data were reported by 899 pts from 148 community, 10 academic, and 3 government centers. ECOG PS was available on 711 pts. Overall HRQOL, measured by mean FACT-Leu, FACT-G and EQ-5D Visual Analogue Scale (VAS), worsened with ECOG PS severity and was worse in pts with fatigue (all p<0.0001). All FACT-Leu domains except social/family were worse in pts with fatigue and those with higher ECOG PS. Mean EQ-5D pain/discomfort, mobility, self care and usual activities domain scores worsened in severity as ECOG worsened and for pts with fatigue (all p<0.011). BFI data indicated that global fatigue, fatigue severity and fatigue-related interference worsened by ECOG severity and were associated with clinician-reported fatigue (all p<0.0001). Conclusions: Initial CONNECT CLL results confirm that HRQOL worsens with worsening ECOG PS and was worse among pts with fatigue, especially in physical/functioning domains, pain/discomfort, and mobility. These results indicate that baseline ECOG PS and physician-rated fatigue are rapid assessments that predict robust measures of HRQOL. Future analyses are planned to examine how HRQOL, ECOG PS and fatigue change over time with changes in treatment and CLL disease status.
APOE4 exacerbates α-synuclein pathology and related toxicity independent of amyloid
APOE4 exacerbates α-synuclein pathology in a synucleinopathy mouse model, and APOE4 genotype associates with increased α-synuclein pathology in humans.
Leveraging Gene Expression Subgroups to Classify DLBCL Patients and Enrich for Clinical Benefit to a Novel Agent
Diffuse large B-cell lymphoma is a heterogeneous disease, commonly described by cell-of-origin (COO) molecular subtypes. We sought to identify novel patient subgroups through an unsupervised analysis of a large public dataset of gene expression profiles from newly diagnosed de novo DLBCL patients, yielding two biologically distinct subgroups characterized by differences in the tumor microenvironment. Pathway analysis and immune deconvolution algorithms identified higher B-cell content and a strong proliferative signal in subgroup A and enriched T-cell, macrophage, and immune/inflammatory signals in subgroup B, reflecting similar biology to published DLBCL stratification research. A gene expression classifier, featuring 26 gene expression scores, was derived from the public dataset to discriminate subgroup A (classifier-negative, immune-low) and subgroup B (classifier-positive, immune-high) patients. Subsequent application to an independent series of diagnostic biopsies and replicated the subgroups with immune cell composition confirmed via immunohistochemistry. Avadomide, a CRL4CRBN E3 ubiquitin ligase modulator, demonstrated clinical activity in relapsed/refractory DLBCL patients, independent of COO subtypes. Given the immunomodulatory activity of avadomide and need for a patient selection strategy, we applied the gene expression classifier to pretreatment biopsies from relapsed/refractory DLBCL patients receiving avadomide (NCT01421524). Classifier-positive patients demonstrated an enrichment in response rate and progression-free survival of 44% and 6.2 months versus 19% and 1.6 months for classifier-negative patients (HR=0.49 [0.280, 0.86]; P=.0096). The classifier was not prognostic for R-CHOP or salvage immunochemotherapy. The classifier described here discriminates DLBCL tumors based on tumor and non-tumor composition and has potential utility to enrich for clinical response to immunomodulatory agents including avadomide.
Abstract Chemotherapy is important for cancer treatment, however, toxicities limit its use. While great strides have been made to ameliorate the acute toxicities induced by chemotherapy, long-term comorbidities including bone loss remain a significant problem. Chemotherapy-driven estrogen loss is postulated to drive bone loss, but significant data suggests the existence of an estrogen-independent mechanism of bone loss. Using clinically relevant mouse models, we showed that senescence and its senescence-associated secretory phenotype (SASP) contribute to chemotherapy-induced bone loss that can be rescued by depleting senescent cells. Chemotherapy-induced SASP could be limited by targeting the p38MAPK-MK2 pathway, which resulted in preservation of bone integrity in chemotherapy-treated mice. These results transform our understanding of chemotherapy-induced bone loss by identifying senescent cells as major drivers of bone loss and the p38MAPK–MK2 axis as a putative therapeutic target that can preserve bone and improve a cancer survivor's quality of life. Significance: Senescence drives chemotherapy-induced bone loss that is rescued by p38MAPK or MK2 inhibitors. These findings may lead to treatments for therapy-induced bone loss, significantly increasing quality of life for cancer survivors.
Interaction Between Slow Wave Sleep and Obstructive Sleep Apnea in Prevalent Hypertension
Due to frequent abnormal breathing events and their effects on sleep architecture, patients with obstructive sleep apnea (OSA) exhibit decreased amounts of slow wave sleep (SWS). Reduced SWS has been linked to hypertension in community-based studies. We sought to investigate whether SWS percentage modifies the association between OSA and prevalent hypertension. We studied 7107 patients with OSA and 1118 primary snorers who underwent in-laboratory polysomnography. Patients were classified into quartiles of percent SWS. Hypertension was defined based either on clinic blood pressure measures or on physician diagnosis. Multivariable logistic regression model showed a significant interaction effect of OSA and SWS on prevalent hypertension ( P =0.002). Decreased SWS was associated with higher odds for hypertension in OSA but not in primary snoring, with patients with OSA exhibiting <0.1% SWS (OR, 1.44 [95% CI, 1.21–1.70]; P =0.001) and those with 0.1% to 4.8% SWS (OR, 1.20 [95% CI, 1.03–1.40]; P =0.02) being more likely to have hypertension compared with those with >11.1% SWS. In analysis stratified by OSA severity, significant associations between percent SWS and blood pressure emerged only in moderate and severe OSA. Effect modifications by sex ( P =0.040) and age ( P =0.007) were also only evident in OSA, indicating that decreased SWS was associated with hypertension only in men and in patients <60 years old. Decreased SWS is associated with a dose-dependent increase in odds of prevalent hypertension in patients with OSA. The effects of SWS are likely to be modulated by OSA severity. SWS may be implicated in the heightened risk of cardiovascular diseases exhibited by patients with OSA.
A practical biomechanical model of the index finger simulating the kinematics of the muscle/tendon excursions
A New Mechanism for T-ALL Leukemogenesis: Early Expression of Alpha-Beta TCR Occurs in a Natural Subset of CD4-CD8- Double Negative (DN) Thymocytes Where MHC Engagement May Drive NOTCH Mutation and Tumor Initiation
T cell lymphoblastic leukemia (T-ALL) is an aggressive cancer arising from transformed thymocytes. Most human T-ALL involves hyperactive NOTCH signaling that is often caused by activating NOTCH mutations. However, the identification of specific molecular signals that might induce or select for mutation and transformation are incompletely understood. We report that an understudied low-frequency, natural thymocyte subset expresses αβ T cell antigen receptor (TCR) earlier than most cells in mice and humans; engagement of the early αβTCR by major histocompatibility complexes (MHC) can cause outgrowth of NOTCH1 mutant clones and T-ALL leukemogenesis in a mouse model of T-ALL. Assessment of 5 recent human T-ALL cases found one to present this unique CD4-CD8- double- negative (DN) stage as the earliest identifiable developmental stage. These studies present a model of T-ALL leukemogenesis that identifies (i) a natural cell stage of origin susceptible to transformation, (ii) a matching mouse model showing that a signaling receptor (αβTCR) and its ligand (MHC) drive leukemogeneis and outgrowth of tumors bearing activating NOTCH1 mutations, and (iii) a human case that presents with a tumor consistent with this model and mechanism. In past work, the pre-TCR has been shown to impact T-ALL development in mice (Campese et al, Blood 2006), but an oncogenic role for the mature αβTCR is less well characterized and somewhat surprising. This is because, although T-ALL tumor cells may express variable levels of surface αβTCR/CD3, the earliest cell stages that are thought to transform are also thought to precede stages with αβTCR expression. Most conventional αβ thymocytes rearrange TCRβ and TCRα loci in separate, ordered developmental stages. However, some thymocytes in the conventional pathway rearrange both at DN stage thus exhibiting 'precocious' αβTCR (PAT) expression. Importantly, these PAT cells are indeed part of the conventional αβ lineage, being a 'subset' only due to early αβTCR expression but without known distinction in ultimate immune function (Aifantis et al, JEM 2006). We found that ~0.01% of mouse and human thymocytes are such PAT cells at steady state. To interrogate the PAT thymocyte surface phenotype, we performed multi-parametric flow cytometry with Spanning-tree Progression Analysis of Density-normalized Events (SPADE). This revealed that PAT thymocytes constitute a DN subset that is not associated with other well-described unconventional DN thymocytes known to express αβTCR, consistent with as the expectation that PATs are part of the conventional developmental pathway. We observed that the OT1 TCR transgene is expressed in mice with parallel timing and level to the natural PAT subset, allowing use of this model to study antigen-dependent signaling and oncogenesis. In a cohort study, no T-ALL was observed in wild-type C57BL/6 or OT-1.β2M-/- mice (deficient in endogenous antigen presentation), but MHC-sufficient OT-1 mice developed PAT-stage-specific T-ALL with activating NOTCH1 mutations. Transplant experiments corroborated a requirement for antigen presentation and TCR signaling for tumor maintenance as transplanted tumors grew in MHC+ but not MHC-deficient mice. This predicted that PAT thymocytes might have an unusual ability to signal through αβTCR even without coreceptor expression. When cultured in the presence of either exogenously added β2M or antigen presenting cells, both untransformed and neoplastic PAT cells upregulated CD69 in response to the OT-1 antigenic peptide, OVA. Furthermore, ex vivo analysis of PAT cells from polyclonal C57BL/6 versus MHC-deficient mice showed intrinsic upregulation of TCR-signaling-dependent Nur77 in an MHC-dependent manner. These data revealed a unique ability of PAT cells to engage in co-receptor independent but antigen-dependent signaling. Microarray analysis showed that the gene expression profile of neoplastic PAT cells from OT-1 T-ALL most closely resembled that of conventional post β-selection DN thymocytes, in agreement with the natural PAT stage during normal T cell development. These data support a model in which transformation occurred in the naturally occurring αβ PAT thymocyte subset as cell-of-origin. Collectively, our data suggest that precocious αβTCR expression and coreceptor-independent antigen engagement can cause activating NOTCH mutation and T-ALL development. Disclosures No relevant conflicts of interest to declare.