Differential characteristics of Waldenstrom macroglobulinemia according to patterns of familial aggregation
ABSTRACT Familial aggregation of Waldenström macroglobulinemia (WM) and related B-cell disorders (BCDs) suggests a role for genetic factors, but few data address environmental influences. We designed a questionnaire-based study to examine clinical and environmental factors in a cohort of WM families with various patterns of case aggregation. We analyzed data on 103 WM patients and 272 unaffected relatives from 35 multiple-case WM and 46 mixed WM/BCD kindred and 28 nonfamilial (sporadic) WM patients, using logistic regression models with generalized estimating equations to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for association. In this study population, the WM disease process appeared similar among patients regardless of family history. Familial WM patients were more likely than unaffected relatives to report a history of autoimmune disease (OR, 2.27; 95% CI = 1.21-4.28) and infections (OR, 2.13; 95% CI = 1.25-3.64). Familial WM patients were also more likely to report exposure to farming (OR, 2.70; 95% CI = 1.34-5.42), pesticides (OR, 2.83; 95% CI = 1.56-5.11), wood dust (OR, 2.86; 95% CI = 1.54-5.33), and organic solvents (multiple-case WM OR, 4.21; 95% CI = 1.69-10.51) compared with unaffected family members. These data provide clues to both genetic and environmental factors that may influence development of WM. Well-designed case-control studies are needed to confirm these findings.
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- "Studies of familial aggregation have long been used for generating hypotheses regarding shared genetic and environmental factors  . Previous studies suggest that genetic and environmental risk factors for B-cell disorders may also be risk factors for WM   , but additional hypothesis sources are needed. We thus examined potential associations of WM with "
ABSTRACT: Little is known about the epidemiology and etiology of Waldenstrom macroglobulinemia (WM). Despite several studies of the relation between family history and B-cell disorders and WM, family history of non-hematologic cancers has not been systematically investigated. We thus examined associations of family history of breast, colorectal, lung, ovarian, and prostate cancers with WM. All probands aged 20-79 years with bone marrow biopsy-confirmed diagnosis of WM between May 1, 1999 and January 1, 2010 at the Bing Center for Waldenstrom Macroglobulinemia were eligible for inclusion in our analysis. We reviewed medical records for eligible probands to determine family history of cancer (defined as a cancer diagnosis for ≥1 first-degree relative(s) of the proband). Using expected values constructed from the United States National Health Interview Survey, we estimated age- and race-standardized rate ratios (RRs) for family history of breast, colorectal, lung, ovarian, and prostate cancers by WM subtype. Family history of prostate cancer had the largest overall rate ratio (RR=1.4, 95% confidence limits [CL]: 1.1, 1.7), and among sporadic cases, family history of prostate and breast cancer had the largest rate ratios (prostate: RR=1.3, 95% CL: 1.1, 1.7; breast: RR=1.3, 95% CL: 1.2, 1.6). Our study suggests that it may be worthwhile to pursue these associations in a case-control study with uniform selection and data collection for cases and controls, and at least some record-based information on family history.11/2011; 36(3):294-7. DOI:10.1016/j.canep.2011.10.010
Conference Paper: A novel theory of SAR image restoration and enhancement with ICA[Show abstract] [Hide abstract]
ABSTRACT: Active radar sensing is an important method of obtaining inventory information about remote and cloud-covered areas of the world. However, automatic interpretation of SAR images is often difficult due to speckle noise. Appearing as a random granular pattern, speckles seriously degrade the image quality and affect the task of human interpretation and scene analysis. For this kind of speckle removal problem, one of the difficulties is to overcome the tradeoff between noise reduction and preserving significant image details. In this paper, a novel theory of SAR image restoration and enhancement with independent component analysis (ICA) is proposed. We assume that the speckle noise in SAR images comes from a different signal source, which accompanies but is independent (their statistical characteristics are not same.) of the "true signal source" (image details). Thus the speckle removal problem can also he described as "signal source separation" problem. Then in order to enhance the "true signal source", we classify the basis images and span them into two different signal subspaces, namely "true signal subspace" and "speckle subspace". Finally we build different nonlinear estimators in each signal subspace to recover the original image. In our experiments, the SAR images consist of nine channels of images. We compare our method with two other well known speckle reduction approaches (Kuan filter and Lee filter). The results show that with our method the speckle noise is efficiently removed while at the same time important details (edges in particular) are retained without introducing artificial structures. We further calculate the ratio of standard deviation to mean (SD/Mean) for each image and use it as a criterion for image quality and find that the improvement with our method is more evident for images with ''high level speckle noise"Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International; 10/2004
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ABSTRACT: We examined the incidence of other malignancies in 924 Waldenström's Macroglobulinemia (WM) patients and their kin. A total of 225 (24.3%) patients had ≥1 additional malignancy, with 63% predating the WM diagnosis. The most common gender-adjusted malignancies were prostate (9.4%), breast (8.0%), non-melanoma skin (7.1%), hematologic (2.8%), melanoma (2.2%), lung (1.4%) and thyroid 1.1%). Among hematologic malignancies, all 13 cases of diffuse large B-cell lymphoma and 4 cases of acute myelogenous leukemia were diagnosed after WM, and were therapy-related. Familial WM subgroup analysis showed a higher incidence of prostate cancer (P=.046) in sporadic WM patients, while patients with familial WM had a higher incidence of lung cancer (P=.0043). An increased incidence of myeloid leukemias (P<.0001) was reported among kin of familial WM patients. These data reveal specific cancer associations with WM, and provide a basis for exploratory studies aimed at delineating a common genetic basis. Additionally, these studies suggest specific cancer clustering based on familial predisposition to WM.Clinical lymphoma, myeloma & leukemia 02/2011; 11(1):88-92. DOI:10.3816/CLML.2011.n.016 · 2.02 Impact Factor