Therneau, Terry

Abstract INTRODUCTION We examined when Alzheimer's disease biomarkers become informative by identifying age‐related breakpoints with slope‐changing trajectories. METHODS In 2082 Mayo Clinic Study of Aging participants, we modeled plasma amyloid beta (Aβ)42/40, phosphorylated tau (p‐tau)181, glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), amyloid/tau positron emission tomography (PET), hippocampal volume (HVa), and global cognition. Generalized additive models described age trends; Davies' test and piecewise linear regression estimated breakpoints. A C2N subsample ( n = 462) provided mass‐spectrometry plasma markers (p‐tau181, p‐tau217, their ratios, Aβ42/40). RESULTS In the full cohort, Aβ42/40, HVa, and cognition declined with age; p‐tau181, NfL, GFAP, and amyloid/tau PET increased. We observed single breakpoints (years, 95% CI): GFAP 68.1 (63.5–71.8), NfL 70.7 (65.9–75.6), p‐tau181 67.2 (60.3–70.3), amyloid PET 62.3 (56.2–69.3), HVa 68.1 (63.1–71.9), cognition 59.8 (55.4–66.0); tau PET showed none. In the mass‐spectrometry subset, p‐tau217 and p‐tau181 broke at 72.6; their ratios and Aβ42/40 showed no breakpoints. DISCUSSION Breakpoints cluster near late midlife, suggesting windows for screening and monitoring.

Abstract Background: Multiple myeloma (MM) has been studied by conventional cytogenetics and fluorescence in situ hybridization using DNA probes (FISH) on interphase nuclei and metaphase cells, but the relative clinical significance of proliferating (metaphase) versus non-proliferating (interphase) cells at diagnosis is poorly understood. We investigated a consecutive series of 154 patients (pts) with newly diagnosed untreated MM, and compared results for metaphase and interphase cells with survival. Methods: Bone marrow within 30 days of diagnosis was analyzed by standard cytogenetics. Leftover cells were stored at −70°C. Interphase and metaphase FISH was done using probes for IGH, FGFR3, CCND1, c-MAF, D13S319, LAMP1, p53 and D17Z1 to detect t(4;14), t(11;14), t(14;16) and chromosome 13 or 17 anomalies, respectively. We analyzed <10 metaphases and 200 unselected interphase nuclei for each FISH probe set for each pt. Survival rates were estimated using Kaplan-Meier and differences in survival curves compared using log-rank test. Results: 61 (39.6%) pts had abnormal metaphases by cytogenetics (43 pts) and/or FISH (46 pts): 12 (19.7%) had t(11;14) by cytogenetics (3 pts) and/or FISH (11 pts), 11 (18.0%) had t(4;14) by FISH but not cytogenetics, and 3 (4.9%) had t(14;16) by FISH but not cytogenetics. Metaphases with 13q- were seen in 30 pts (49.2%). Interphase FISH results were abnormal for 133 (86.3%) pts: mean percent neoplastic nuclei was 26.9 ± 21.6 (3.9 to 99.0). Mean percent plasma cells was 54.7 ± 24.6 (3.0 to 99.0). Each of the 61 pts with abnormal metaphases was also abnormal in interphase nuclei. Median survival for pts with ≥50% (20 pts) abnormal nuclei was 202 days vs. 1351 days for pts with <50% (134 pts) (p<0.001). Median survival for pts with abnormal metaphases (61 pts) was 587 days vs. 1404 days for pts with normal metaphases (93 pts) (p=0.002). Median survival was 381 days for 30 pts with 13q- metaphases compared with 1404 days for 38 pts with normal metaphases and 13q- interphase nuclei (p<0.001). Metaphase and interphase analysis along with other potential risk factors (hemoglobin <10, serum calcium ≥11, serum creatinine ≥2, plasma cell labeling index and percent bone marrow plasma cells) were evaluated by multivariate analysis using a stepwise selection in a Cox proportional hazards model. Only the observation of 13q- in metaphases or ≥50% abnormal interphase nuclei were significant predictors of survival. Conclusions: Analysis of metaphases at diagnosis is important to detect proliferating disease which is a strong indicator of poor prognosis. Metaphase FISH is a necessary adjunct to conventional cytogenetics to detect cryptic t(4;14) and t(14;16), and accurately detect prognostic chromosome anomalies such as 13q-. Observing a 13q- in metaphase cells is a strong predictor of survival compared with observing 13q- in only interphase nuclei. At diagnosis, analysis of interphase nuclei is efficient, identifies an abnormal clone in 86% of pts and defines a subset of patients with ≥50% nuclei that have a poor prognosis. Since analysis of metaphases gives better prognostic information, interphase FISH is not a substitution in the cytogenetic work up of patients with MM.

Abstract The plasma cell malignancy Multiple Myeloma (MM) is a rare but deadly form of cancer with 5 year survival rates of ∼30%. Epidemiological studies have suggested that MM exacts an especially heavy burden on African American (AA) patients. We examined a multi-ethnic cohort of MM tumors to assess potential differences in the frequency of molecular events in tumors derived from either African American (AA) or European American (EA) patients. The frequency of 14q32 translocation breakpoints at the IgH locus was compared among a series of data from 115 AA MM patients from three studies and EA MM from the Eastern Cooperative Oncology Group (ECOG). In addition, we analyzed matching genome-wide copy number and transcriptional data among 45 AA MM tumors and 196 EA MM tumors to determine differences in the frequency of molecular events in tumors from these populations. No differences were found for specific translocation subtypes; however, we detected a statistically significant difference in the overall frequency of IgH translocations between the two groups, which occurred more frequently in EA patients (52% vs. 40%; p = 0.032). When assessing genomic copy number events previously shown to be associated with poor outcome in MM, frequencies of alterations were not significant after correcting for multiple testing. Furthermore, there was not a significant difference in the association of high-risk disease using expression profiling. Our study represents the first comprehensive assessment of the frequency and distribution of molecular alterations in MM tumors from both AA and EA patients and could help shed light on possible biological features associated with population differences in incidence and outcome in MM. Citation Format: Angela S. Baker, Esteban Braggio, Susana Jacobus, Sungwon Jung, Dirk Larson, Terry Therneau, Angela Dispenzieri, Scott A. Van Wier, Gregory Ahmann, Joan Levy, Louise Perkins, Seungchan Kim, Kim Henderson, David Vesole, S. Vincent Rajkumar, Dianne F. Jelinek, John Carpten, Rafael Fonseca. Characterization of myeloma tumors from a multi-ethnic cohort using cytogenetics and genomic analysis. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2021. doi:10.1158/1538-7445.AM2013-2021