Rebecca A Betensky

Rebecca Betensky
Rebecca Betensky
Scroll

Chair of the Department of Biostatistics

Professor of Biostatistics

Professional overview

Prior to NYU, Dr. Betensky was Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She was director of the Harvard Catalyst (Clinical and Translational Science Award) Biostatistics Program; director of the Data and Statistics Core for the Massachusetts Alzheimer’s Disease Research Center; and director of the Biostatistics Neurology Core at Massachusetts General Hospital. Previously, she was the Biostatistics Program Leader for the Dana-Farber/Harvard Cancer Center.

Dr. Betensky’s research focuses on methods for the analysis of censored and truncated outcomes and covariates, which frequently arise from the subsampling of cohort studies. She has a long-time interest in clinical trials, and has written on the evaluation of biomarkers and the use and interpretation of p-values. She has collaborated extensively in studies in neurologic diseases, and serves as statistical editor for Annals of Neurology.

Dr. Betensky was awarded, and directed for 15 years, an NIH T32 training program in neurostatistics and neuroepidemiology for pre- and post-doctoral students in biostatistics and epidemiology and for clinician-scientists. She previously directed Harvard’s Biostatistics programs to promote and support diversity at all levels in the field of quantitative public health. She was also a member of the BMRD Study Section for review of NIH statistical methodology grants; on committees for the Institute of Medicine; and a co-chair of the technical advisory committee for the scientific registry of transplant recipients.

Dr. Betensky an elected Fellow of the American Statistical Association and of the International Statistical Institute, and is a past recipient of the Spiegelman Award from the American Public Health Association. She currently serves as a member of the Board of Scientific Counselors for Clinical Science and Epidemiology at the National Cancer Institute.

Education

AB, Mathematics, Harvard University, Cambridge, MA
PhD, Statistics, Stanford University, Stanford, CA

Areas of research and study

Biology
Biostatistics
Neuroepidemiology
Neurology
Neurostatistics
Translational science

Publications

Publications

Genomic profiling distinguishes familial multiple and sporadic multiple meningiomas

Shen, Y., Nunes, F., Stemmer-Rachamimov, A., James, M., Mohapatra, G., Plotkin, S., Betensky, R. A., Engler, D. A., Roy, J., Ramesh, V., & Gusella, J. F. (n.d.).

Publication year

2009

Journal title

BMC Medical Genomics

Volume

2
Abstract
Abstract
Background. Meningiomas may occur either as familial tumors in two distinct disorders, familial multiple meningioma and neurofibromatosis 2 (NF2), or sporadically, as either single or multiple tumors in individuals with no family history. Meningiomas in NF2 and approximately 60% of sporadic meningiomas involve inactivation of the NF2 locus, encoding the tumor suppressor merlin on chromosome 22q. This study was undertaken to establish whether genomic profiling could distinguish familial multiple meningiomas from sporadic solitary and sporadic multiple meningiomas. Methods. We compared 73 meningiomas presenting as sporadic solitary (64), sporadic multiple (5) and familial multiple (4) tumors using genomic profiling by array comparative genomic hybridization (array CGH). Results. Sporadic solitary meningiomas revealed genomic rearrangements consistent with at least two mechanisms of tumor initiation, as unsupervised cluster analysis readily distinguished tumors with chromosome 22 deletion (associated with loss of the NF2 tumor suppressor) from those without chromosome 22 deletion. Whereas sporadic meningiomas without chromosome 22 loss exhibited fewer chromosomal imbalance events overall, tumors with chromosome 22 deletion further clustered into two major groups that largely, though not perfectly, matched with their benign (WHO Grade I) or advanced (WHO Grades II and III) histological grade, with the latter exhibiting a significantly greater degree of genomic imbalance (P < 0.001). Sporadic multiple meningiomas showed a frequency of genomic imbalance events comparable to the atypical grade solitary tumors. By contrast, familial multiple meningiomas displayed no imbalances, supporting a distinct mechanism for the origin for these tumors. Conclusion. Genomic profiling can provide an unbiased adjunct to traditional meningioma classification and provides a basis for exploring the different genetic underpinnings of tumor initiation and progression. Most importantly, the striking difference observed between sporadic and familial multiple meningiomas indicates that genomic profiling can provide valuable information for differential diagnosis of subjects with multiple meningiomas and for considering the risk for tumor occurrence in their family members.

Genomic profiling of atypical meningiomas associates gain of 1q with poor clinical outcome

Gabeau-Lacet, D., Engler, D., Gupta, S., Scangas, G. A., Betensky, R. A., Barker, F. G., Loeffler, J. S., Louis, D. N., & Mohapatra, G. (n.d.).

Publication year

2009

Journal title

Journal of Neuropathology and Experimental Neurology

Volume

68

Issue

10

Page(s)

1155-1165
Abstract
Abstract
Atypical meningiomas exhibit heterogeneous clinical outcomes. It is unclear which atypical meningiomas require aggressive multimodality treatment with surgery and radiation therapy versus surgery alone to prevent recurrence. Detailed molecular-genetic characterization of these neoplasms is necessary to understand their pathogenesis and identify clinically relevant genetic markers. Oligonucleotide array comparative genomic hybridization was used to identify frequent genetic alterations in 47 primary atypical meningiomas resected at Massachusetts General Hospital between August 1987 and September 2006. Eighty-five percent of samples exhibited loss of 22q, including the neurofibromatosis type 2 gene. The second most frequent regions of loss were confined to the short arm of chromosome 1, particularly 1p33-p36.2 (70%) and 1p13.2 (64%). Other frequent regions of loss, detected in more than 50% of samples, included 14q, 10q, 8q, 7p, 21q, 19, 9q34, and 4p16. Frequent regions of gain were detected along 1q (59%), 17q (44%), 9q34 (30%), and 7q36 (26%). Univariate marker-by-marker analysis of all frequently identified copy number alterations showed potential correlation between gain of 1q and shorter progression-free survival. Given the heterogeneous treatment outcomes of atypical meningioma, investigation of large-scale and focal genomic alterations in multi-institutional efforts may help clarify molecular-genetic signatures of clinical use.

High-dose methotrexate for elderly patients with primary CNS lymphoma

Zhu, J. J., Gerstner, E. R., Engler, D. A., Mrugala, M. M., Nugent, W., Nierenberg, K., Hochberg, F. H., Betensky, R. A., & Batchelor, T. T. (n.d.).

Publication year

2009

Journal title

Neuro-Oncology

Volume

11

Issue

2

Page(s)

211-215
Abstract
Abstract
The introduction of methotrexate (MTX)-based chemotherapy has improved median survival for patients with primary CNS lymphoma (PCNSL). Older age is a negative prognostic marker in patients with PCNSL and may increase the likelihood of MTX toxicity. We studied the response and adverse effects of intravenous high-dose MTX in patients who were 70 or more years of age at the time of diagnosis. We identified 31 patients at our institution diagnosed with PCNSL at age ≥70 years (median, 74 years) who were treated with high-dose MTX (3.5-8 g/m2) as initial therapy from 1992 through 2006. The best response to MTX was determined by contrastenhanced MRI. Toxicity was analyzed by chart review. These 31 patients received a total of 303 cycles of MTX (median, eight cycles per patient). Overall, 87.9% of the cycles required dose reduction because of impaired creatinine clearance. In 30 evaluable patients, the overall radiographic response rate was 96.7%, with 18 complete responses (60%) and 11 partial responses (36.7%). Progression-free survival and overall survival were 7.1 months and 37 months, respectively. Grade IIV toxicities were observed in 27 of 31 patients and included gastrointestinal disturbances in 58% (3.2% grade III), hematological complications in 80.6% (6.5% grade III), and renal toxicity in 29% (0% grade III/IV). High-dose MTX is associated with a high proportion of radiographic responses and a low proportion of grade III/IV toxicity in patients 70 or more years of age. High-dose MTX should be considered as a feasible treatment option in elderly patients with PCNSL.

Matrix metalloproteinase inhibition reduces oxidative stress associated with cerebral amyloid angiopathy in vivo in transgenic mice

Garcia-Alloza, M., Prada, C., Lattarulo, C., Fine, S., Borrelli, L. A., Betensky, R., Greenberg, S. M., Frosch, M. P., & Bacskai, B. J. (n.d.).

Publication year

2009

Journal title

Journal of Neurochemistry

Volume

109

Issue

6

Page(s)

1636-1647
Abstract
Abstract
Cerebral amyloid angiopathy (CAA), characterized by extracellular β-amyloid peptide (Aβ) deposits in vessel walls, is present in the majority of cases of Alzheimer's disease and is a major cause of hemorrhagic stroke. Although the molecular pathways activated by vascular Aβ are poorly understood, extracellular matrix metalloproteinases (MMP) and Aβ-induced oxidative stress appear to play important roles. We adapted fluorogenic assays for MMP activity and reactive oxygen species generation for use in vivo. Using multiphoton microcopy in APPswe/PS1dE9 and Tg-2576 transgenic mice, we observed strong associations between MMP activation, oxidative stress, and CAA deposition in leptomeningeal vessels. Antioxidant treatment with α-phenyl-N-tert- butyl-nitrone reduced oxidative stress associated with CAA (∼50% reduction) without affecting MMP activation. Conversely, a selection of agents that inhibit MMP by different mechanisms of action, including minocycline, simvastatin, and GM6001, reduced not only CAA-associated MMP activation (∼30-40% reduction) but also oxidative stress (∼40% reduction). The inhibitors of MMP did not have direct antioxidant effects. Treatment of animals with α-phenyl-N- tert-butyl-nitrone or minocycline did not have a significant effect on CAA progression rates. These data suggest a close association between Aβ-related MMP activation and oxidative stress in vivo and raise the possibility that treatment with MMP inhibitors may have beneficial effects by indirectly reducing the oxidative stress associated with CAA.

Microbleeds versus macrobleeds: Evidence for distinct entities

Greenberg, S. M., Kaveer Nandigam, R. N., Delgado, P., Betensky, R. A., Rosand, J., Viswanathan, A., Frosch, M. P., & Smith, E. E. (n.d.).

Publication year

2009

Journal title

Stroke

Volume

40

Issue

7

Page(s)

2382-2386
Abstract
Abstract
Background and Purpose-Small, asymptomatic microbleeds commonly accompany larger symptomatic macrobleeds. It is unclear whether microbleeds and macrobleeds represent arbitrary categories within a single continuum versus truly distinct events with separate pathophysiologies. Methods-We performed 2 complementary retrospective analyses. In a radiographic analysis, we measured and plotted the volumes of all hemorrhagic lesions detected by gradient-echo MRI among 46 consecutive patients with symptomatic primary lobar intracerebral hemorrhage diagnosed as probable or possible cerebral amyloid angiopathy. In a second neuropathologic analysis, we performed blinded qualitative and quantitative examinations of amyloid-positive vessel segments in 6 autopsied subjects whose MRI scans demonstrated particularly high microbleed counts (>50 microbleeds on MRI, n=3) or low microbleed counts (<3 microbleeds, n=3). Results-Plotted on a logarithmic scale, the volumes of 163 hemorrhagic lesions identified on scans from the 46 subjects fell in a distinctly bimodal distribution with mean volumes for the 2 modes of 0.009 cm 3 and 27.5 cm 3. The optimal cut point for separating the 2 peaks (determined by receiver operating characteristics) corresponded to a lesion diameter of 0.57 cm. On neuropathologic analysis, the high microbleed-count autopsied subjects showed significantly thicker amyloid-positive vessel walls than the low microbleed-count subjects (proportional wall thickness 0.53±0.01 versus 0.37±0.01; P<0.0001; n=333 vessel segments analyzed). Conclusions-These findings suggest that cerebral amyloid angiopathy-associated microbleeds and macrobleeds comprise distinct entities. Increased vessel wall thickness may predispose to formation of microbleeds relative to macrobleeds.

Polysomy for chromosomes 1 and 19 predicts earlier recurrence in anaplastic oligodendrogliomas with concurrent 1p/19q loss

Snuderl, M., Eichler, A. F., Ligon, K. L., Vu, Q. U., Silver, M., Betensky, R. A., Ligon, A. H., Wen, P. Y., Louis, D. N., & Iafrate, A. J. (n.d.).

Publication year

2009

Journal title

Clinical Cancer Research

Volume

15

Issue

20

Page(s)

6430-6437
Abstract
Abstract
Purpose: Loss of chromosome arms 1p and 19q is a molecular feature of oligodendroglial tumors characterized by responsiveness to chemotherapy and a favorable prognosis. The purpose of this study was to evaluate the prognostic significance of polysomy of chromosomes 1 and 19 in the setting of 1p/19q codeletion. Experimental Design: We analyzed 64 anaplastic oligodendrogliomas with 1p/19q loss or maintenance diagnosed at Massachusetts General Hospital and Brigham and Women's Hospital from 1996 to 2005; fluorescence in situ hybridization for 1p/19q and Ki-67 immunohistochemistry was done. Polysomy was defined as more than two 1q and 19p signals in >30% of the cells with concurrent 1p/19q deletion. Tumors were divided into groups based on their 1p/19q status and compared for progression-free survival, overall survival, and 5-year survival probabilities. Results: Forty-six tumors (72%) in our cohort had 1p/19q loss and 18 (28%) had 1p/19q maintenance. Of those with loss, 19 (41%) had concurrent polysomy and 27 (59%) lacked polysomy. In agreement with previous studies, the group of anaplastic oligodendrogliomas with 1p/19q loss had significantly better progression-free survival and over-all survival than anaplastic oligodendrogliomas with 1p/19q maintenance (P = 0.0009 and P < 0.0003, respectively). Among anaplastic oligodendrogliomas with 1p/19q loss, those with polysomy showed shorter progression-free survival than those with 1p/19q loss without polysomy (P = 0.0048). Overall survival was similar in tumors with and without polysomy. The Ki-67 labeling index was not associated with polysomy and did not have prognostic significance. Conclusion: The presence of polysomy in anaplastic oligodendrogliomas with deletion of 1p/19q is a marker of earlier recurrence.

A penalized latent class model for ordinal data

Desantis, S. M., Houseman, E. A., Coull, B. A., Stemmer-Rachamimov, A., & Betensky, R. A. (n.d.).

Publication year

2008

Journal title

Biostatistics

Volume

9

Issue

2

Page(s)

249-262
Abstract
Abstract
Latent class models provide a useful framework for clustering observations based on several features. Application of latent class methodology to correlated, high-dimensional ordinal data poses many challenges. Unconstrained analyses may not result in an estimable model. Thus, information contained in ordinal variables may not be fully exploited by researchers. We develop a penalized latent class model to facilitate analysis of high-dimensional ordinal data. By stabilizing maximum likelihood estimation, we are able to fit an ordinal latent class model that would otherwise not be identifiable without application of strict constraints. We illustrate our methodology in a study of schwannoma, a peripheral nerve sheath tumor, that included 3 clinical subtypes and 23 ordinal histological measures.

Analysis of familial aggregation studies with complex ascertainment schemes

Matthews, A. G., Finkelstein, D. M., & Betensky, R. A. (n.d.).

Publication year

2008

Journal title

Statistics in Medicine

Volume

27

Issue

24

Page(s)

5076-5092
Abstract
Abstract
Familial aggregation studies are a common first step in the identification of genetic determinants of disease. If aggregation is found, more refined genetic studies may be undertaken. Complex ascertainment schemes are frequently employed to ensure that the sample contains a sufficient number of families with multiple affected members, as required to detect aggregation. For example, an eligibility criterion for a family might be that both the mother and daughter have disease. Adjustments must be made for ascertainment to avoid bias. We propose adjusting for complex ascertainment schemes through a joint model for the outcomes of disease and ascertainment. This approach improves upon previous simplifying assumptions regarding the ascertainment process.

Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: Application to multiple sclerosis progression

Mandel, M., & Betensky, R. A. (n.d.).

Publication year

2008

Journal title

Biostatistics

Volume

9

Issue

4

Page(s)

750-764
Abstract
Abstract
Longitudinal ordinal data are common in many scientific studies, including those of multiple sclerosis (MS), and are frequently modeled using Markov dependency. Several authors have proposed random-effects Markov models to account for heterogeneity in the population. In this paper, we go one step further and study prediction based on random-effects Markov models. In particular, we show how to calculate the probabilities of future events and confidence intervals for those probabilities, given observed data on the ordinal outcome and a set of covariates, and how to update them over time. We discuss the usefulness of depicting these probabilities for visualization and interpretation of model results and illustrate our method using data from a phase III clinical trial that evaluated the utility of interferon beta-1a (trademark Avonex) to MS patients of type relapsing-remitting.

Immunohistochemical analysis supports a role for INI1/SMARCB1 in hereditary forms of schwannomas, but not in solitary, sporadic schwannomas

Patil, S., Perry, A., MacCollin, M., Dong, S., Betensky, R. A., Yeh, T. H., Gutmann, D. H., & Stemmer-Rachamimov, A. O. (n.d.).

Publication year

2008

Journal title

Brain Pathology

Volume

18

Issue

4

Page(s)

517-519
Abstract
Abstract
The INI1/SMARCB1 protein product (INI1), a component of a transcription complex, was recently implicated in the pathogenesis of schwannomas in two members of a single family with familial schwannomatosis. Tumors were found to have both constitutional and somatic mutations of the SMARCB1 gene and showed a mosaic pattern of loss of INI1 expression by immunohistochemistry, suggesting a tumor composition of mixed null and haploinsufficient cells. To determine if this finding could be extended to all tumors arising in familial schwannomatosis, and how it compares with other multiple schwannoma syndromes [sporadic schwannomatosis and neurofibromatosis 2 (NF2)] as well as to sporadic, solitary schwannomas, we performed an immunohistochemistry analysis on 45 schwannomas from patients with multiple schwannoma syndromes and on 38 solitary, sporadic schwannomas from non-syndromic patients. A mosaic pattern of INI1 expression was seen in 93% of tumors from familial schwannomatosis patients, 55% of tumors from sporadic schwannomatosis, 83% of NF2-associated tumors and only 5% of solitary, sporadic schwannomas. These results confirm a role for INI1/SMARCB1 in multiple schwannoma syndromes and suggest that a different pathway of tumorigenesis occurs in solitary, sporadic tumors.

Predicting clinical progression in multiple sclerosis with the magnetic resonance disease severity scale

Bakshi, R., Neema, M., Healy, B. C., Liptak, Z., Betensky, R. A., Buckle, G. J., Gauthier, S. A., Stankiewicz, J., Meier, D., Egorova, S., Arora, A., Guss, Z. D., Glanz, B., Khoury, S. J., Guttmann, C. R., & Weiner, H. L. (n.d.).

Publication year

2008

Journal title

Archives of Neurology

Volume

65

Issue

11

Page(s)

1449-1453
Abstract
Abstract
Previous Presentation: This study was presented at the 59th annual meeting of the American Academy of Neurology; May 1, 2007; Boston, Massachusetts. Background: Individual magnetic resonance imaging (MRI) disease severity measures, such as atrophy or lesions, show weak relationships to clinical status in patients with multiple sclerosis (MS). Objective: To combine MS-MRI measures of disease severity into a composite score. Design: Retrospective analysis of prospectively collected data. Setting: Community-based and referral subspecialty clinic in an academic hospital. Patients: A total of 103 patients with MS, with a mean (SD) Expanded Disability Status Scale (EDSS) score of 3.3 (2.2), of whom 62 (60.2%) had the relapsing-remitting, 33 (32.0%) the secondary progressive, and 8 (7.8%) the primary progressive form. Main Outcome Measures: Brain MRI measures included baseline T2 hyperintense (T2LV) and T1 hypointense (T1LV) lesion volume and brain parenchymal fraction (BPF), a marker of global atrophy. The ratio of T1LV to T2LV (T1:T2) assessed lesion severity. A Magnetic Resonance Disease Severity Scale (MRDSS) score, on a continuous scale from 0 to 10, was derived for each patient using T2LV, BPF, and T1:T2. Results: The MRDSS score averaged 5.1 (SD, 2.6). Baseline MRI and EDSS correlations were moderate for BPF, T1:T2, and MRDSS and weak for T2LV. The MRDSS showed a larger effect size than the individual MRI components in distinguishing patients with the relapsingremitting form from those with the secondary progressive form. Models containing either T2LV or MRDSS were significantly associated with disability progression during the mean (SD) 3.2 (0.3)-year observation period, when adjusting for baseline EDSS score. Conclusion: Combining brain MRI lesion and atrophy measures can predict MS clinical progression and provides the basis for developing an MRI-based continuous scale as a marker of MS disease severity.

Prognostic value of tumor microinvasion and metalloproteinases expression in intracranial pediatric ependymomas

Snuderl, M., Chi, S. N., De Santis, S. M., Stemmer-Rachamimov, A. O., Betensky, R. A., De Girolami, U., & Kieran, M. W. (n.d.).

Publication year

2008

Journal title

Journal of Neuropathology and Experimental Neurology

Volume

67

Issue

9

Page(s)

911-920
Abstract
Abstract
Ependymomas are common pediatric intracranial neoplasms that often appear well circumscribed on imaging but may recur when they are treated by surgical resection alone. The current World Health Organization histological grading system does not accurately predict clinical behavior. The aim of this study was to identify histological and immunohistochemical features that correlate with clinical course in patients with ependymomas treated by gross total resection. We analyzed 41 pediatric ependymomas for microinvasion and correlated immunostaining for the metalloproteinase (MMP)-2 and MMP14 and for ezrin and bcl-2 with clinical outcome. Gross total resection had a significantly positive effect on overall survival and progression-free survival. In 28 patients who underwent gross total resection, microinvasion correlated with poor overall survival (p = 0.003) and progression-free survival (p = 0.03). Gross totally resected tumors with high expression of MMP2 and MMP14 had significantly shorter overall survival. Ezrin staining identified tumor cells invading the adjacent white matter that were not identified by routine stains, but Ezrin staining and bcl-2 staining did not provide strong prognostic correlations. The data indicate that tumor microinvasion into adjacent brain and tumor expression of MMP2 and MMP14 predict both overall and progression-free survival in pediatric ependymomas, and these are useful prognostic markers that may help stratify patients for adjuvant therapies.

Simultaneous confidence intervals based on the percentile bootstrap approach

Mandel, M., & Betensky, R. A. (n.d.).

Publication year

2008

Journal title

Computational Statistics and Data Analysis

Volume

52

Issue

4

Page(s)

2158-2165
Abstract
Abstract
This note concerns the construction of bootstrap simultaneous confidence intervals (SCI) for m parameters. Given B bootstrap samples, we suggest an algorithm with complexity of O (mB log (B)). We apply our algorithm to construct a confidence region for time dependent probabilities of progression in multiple sclerosis and for coefficients in a logistic regression analysis. Alternative normal based simultaneous confidence intervals are presented and compared to the bootstrap intervals.

Topotecan as salvage therapy for relapsed or refractory primary central nervous system lymphoma

Voloschin, A. D., Betensky, R., Wen, P. Y., Hochberg, F., & Batchelor, T. (n.d.).

Publication year

2008

Journal title

Journal of Neuro-Oncology

Volume

86

Issue

2

Page(s)

211-215
Abstract
Abstract
Treatment for patients with refractory or relapsed primary CNS lymphoma (PCNSL) remains unsatisfactory. Topotecan is an intravenous topoisomerase I inhibitor with good CSF penetration and documented efficacy in patients with relapsed systemic non-Hodgkin's lymphoma. In this study 15 patients with refractory or relapsed PCNSL were treated with intravenous topotecan (1.5 mg/m2) for five consecutive days during each 21-day cycle. All 15 patients had measurable, contrast-enhancing tumor on cranial MRI at the time of relapse. Three (20%) patients achieved a complete response after one, three and four cycles, respectively, while three (20%) patients achieved a partial response after two cycles each, for a total response proportion of 40%. Three patients had stable disease at the end of topotecan treatment. Six patients (40%) had progressive disease during treatment. Median overall survival was 981 days (95% CI: 275, NA) and median progression free survival was 60 days (95% CI: 46, 945). Three out of 15 patients had grade 3 thrombocytopenia. Six out of 15 patients had grade 3 neutropenia, while 5/15 patients had grade 4 neutropenia, and 13/15 patients received g-CSF at some point during treatment. There were no deaths directly related to treatment toxicity. Our study shows that topotecan, as a salvage therapy in patients with relapsed or refractory PCNSL, is associated with an overall response proportion of 40% and should be considered in patients who have failed prior methotrexate-based chemotherapy and/or whole brain irradiation. However, progression is frequent and early and most patients required growth factor support due to myelotoxicity.

Urinary biomarkers for sensitive and specific detection of acute kidney injury in humans

Vaidya, V. S., Waikar, S. S., Ferguson, M. A., Collings, F. B., Sunderland, K., Gioules, C., Bradwin, G., Matsouaka, R., Betensky, R. A., Curhan, G. C., & Bonventre, J. V. (n.d.).

Publication year

2008

Journal title

Clinical and translational science

Volume

1

Issue

3

Page(s)

200-208
Abstract
Abstract
Acute kidney injury (AKI) is associated with high morbidity and mortality. The lack of sensitive and specific injury biomarkers has greatly impeded the development of therapeutic strategies to improve outcomes of AKI. The unique objective of this study was to evaluate the diagnostic performance of nine urinary biomarkers of AKI-kidney injury molecule-1 (KIM-1), neutrophil gelatinase associated lipocalin (NGAL), interleukin-18 (IL-18), hepatocyte growth factor (HGF), cystatin C (Cys), N-acetyl-β-D-glucosaminidase (NAG), vascular endothelial growth factor (VEGF), chemokine interferon-inducible protein 10 (IP-10; CXCL10), and total protein-in a cross-sectional comparison of 204 patients with or without AKI. Median urinary concentrations of each biomarker were significantly higher in patients with AKI than in those without AKI (p < 0.001). The area under the receiver operating characteristics curve (AUC-ROC) for the combination of biomarkers using a logic regression model [risk score of 2.93*(NGAL > 5.72 and HGF > 0.17) + 2.93*(PROTEIN > 0.22) -2*(KIM < 0.58)] was greater (0.94) than individual biomarker AUC-ROCs. Age-adjusted levels of urinary KIM-1, NAG, HGF, VEGF, and total protein were significantly higher in patients who died or required renal replacement therapy (RRT) when compared to those who survived and did not require RRT. Our results demonstrate the comparative value of multiple biomarkers in the diagnosis and prognosis of AKI.

Urinary biomarkers in the early diagnosis of acute kidney injury

Han, W. K., Waikar, S. S., Johnson, A., Betensky, R. A., Dent, C. L., Devarajan, P., & Bonventre, J. V. (n.d.).

Publication year

2008

Journal title

Kidney International

Volume

73

Issue

7

Page(s)

863-869
Abstract
Abstract
A change in the serum creatinine is not sensitive for an early diagnosis of acute kidney injury. We evaluated urinary levels of matrix metalloproteinase-9 (MMP-9), N-acetyl-β-D-glucosaminidase (NAG), and kidney injury molecule-1 (KIM-1) as biomarkers for the detection of acute kidney injury. Urine samples were collected from 44 patients with various acute and chronic kidney diseases, and from 30 normal subjects in a cross-sectional study. A case-control study of children undergoing cardio-pulmonary bypass surgery included urine specimens from each of 20 patients without and with acute kidney injury. Injury was defined as a greater than 50% increase in the serum creatinine within the first 48 h after surgery. The biomarkers were normalized to the urinary creatinine concentration at 12, 24, and 36 h after surgery with the areas under the receiver-operating characteristic curve compared for performance. In the cross-sectional study, the area under the curve for MMP-9 was least sensitive followed by KIM-1 and NAG. Combining all three biomarkers achieved a perfect score diagnosing acute kidney injury. In the case-control study, KIM-1 was better than NAG at all time points, but combining both was no better than KIM-1 alone. Urinary MMP-9 was not a sensitive marker in the case-control study. Our results suggest that urinary biomarkers allow diagnosis of acute kidney injury earlier than a rise in serum creatinine.

Antibody-mediated clearance of amyloid-β peptide from cerebral amyloid angiopathy revealed by quantitative in vivo imaging

Prada, C. M., Garcia-Alloza, M., Betensky, R. A., Zhang-Nunes, S. X., Greenberg, S. M., Bacskai, B. J., & Frosch, M. P. (n.d.).

Publication year

2007

Journal title

Journal of Neuroscience

Volume

27

Issue

8

Page(s)

1973-1980
Abstract
Abstract
Cerebral amyloid angiopathy (CAA) is the accumulation of amyloid-β peptide (Aβ) in the vessel wall of arteries in the brain. Because CAA is commonly associated with Alzheimer's disease (AD), characterized by parenchymal deposition of the same peptide in the form of senile plaques, there is considerable interest in the relationship of the two deposits in generating human disease. The study of CAA is of particular importance for immunotherapeutic approaches to AD, because reports of anti-Aβ immunotherapy in mice and humans have suggested that, whereas CAA appeared resistant to clearance, its response to this treatment promoted potential adverse effects, including meningoencephalitis. We used multiphoton microscopy and longitudinal imaging to monitor CAA in a mouse model of amyloid deposition to evaluate the effects of anti-Aβ passive immunotherapy. We found detectable clearance of CAA deposits within 1 week after a single administration of antibody directly to the brain, an effect that was short-lived. Chronic administration of antibody over 2 weeks led to more robust clearance without evidence of hemorrhage or other destructive changes. We found that the progressive clearance of Aβ from vessels follows distinct kinetics from what has been previously reported for clearance of plaques (parenchymal deposits of Aβ). This quantitative in vivo imaging approach directly demonstrates that CAA in a transgenic mouse model can be cleared with an optimized immunotherapy.

Designed extension of survival studies: Application to clinical trials with unrecognized heterogeneity

Li, Y., Shih, M. C., & Betensky, R. A. (n.d.).

Publication year

2007

Journal title

Statistica Sinica

Volume

17

Issue

4

Page(s)

1567-1589
Abstract
Abstract
It is well known that unrecognized heterogeneity among patients, such as is conferred by genetic subtype, can undermine the power of a randomized trial, designed under the assumption of homogeneity, to detect a truly beneficial treatment. We consider the conditional power approach to allow for recovery of power under unexplained heterogeneity. While Proschan and Hunsberger (1995) confined the application of conditional power design to normally distributed observations, we consider more general and difficult settings in which the data are in the framework of continuous time and are subject to censoring. In particular, we derive a procedure appropriate for the analysis of the weighted log rank test under the assumption of a proportional hazards frailty model. The proposed method is illustrated through application to a brain tumor trial.

Estimating time to event from longitudinal categorical data: An analysis of multiple sclerosis progression

Mandel, M., Gauthier, S. A., Guttmann, C. R., Weiner, H. L., & Betensky, R. A. (n.d.).

Publication year

2007

Journal title

Journal of the American Statistical Association

Volume

102

Issue

480

Page(s)

1254-1266
Abstract
Abstract
The expanded disability status scale (EDSS) is an ordinal score that measures progression in multiple sclerosis (MS). Progression is defined as reaching EDSS of a certain level (absolute progression) or increasing EDSS by one point (relative progression). Survival methods for time to progression are not adequate for such data because they do not exploit the EDSS level at the end of follow-up. Instead, we suggest a Markov transitional model applicable for repeated categorical or ordinal data. This approach enables derivation of covariate-specific survival curves, obtained after estimation of the regression coefficients and manipulations of the resulting transition matrix. Large-sample theory and resampling methods are employed to derive pointwise confidence intervals, which perform well in simulation. Methods for generating survival curves for time to EDSS of a certain level, time to increase EDSS by at least one point, and time to two consecutive visits with EDSS greater than 3 are described explicitly. The regression models described are easily implemented using standard software packages. Survival curves are obtained from the regression results using packages that support simple matrix calculation. We present and demonstrate our method on data collected at the Partners Multiple Sclerosis Center in Boston. We apply our approach to progression defined by time to two consecutive visits with EDSS greater than 3 and calculate crude (without covariates) and covariate-specific curves.

Loss of the mismatch repair protein MSH6 in human glioblastomas is associated with tumor progression during temozolomide treatment

Cahill, D. P., Levine, K. K., Betensky, R. A., Codd, P. J., Romany, C. A., Reavie, L. B., Batchelor, T. T., Futreal, P. A., Stratton, M. R., Curry, W. T., Lafrate, A. J., & Louis, D. N. (n.d.).

Publication year

2007

Journal title

Clinical Cancer Research

Volume

13

Issue

7

Page(s)

2038-2045
Abstract
Abstract
Purpose: Glioblastomas are treated by surgical resection followed by radiotherapy [X-ray therapy (XRT)] and the alkylating chemotherapeutic agent temozolomide. Recently, inactivating mutations in the mismatch repair gene MSH6 were identified in two glioblastomas recurrent post-temozolomide. Because mismatch repair pathway inactivation is a known mediator of alkylator resistance in vitro, these findings suggested that MSH6 inactivation was causally linked to these two recurrences. However, the extent of involvement of MSH6 in glioblastoma is unknown. We sought to determine the overall frequency and clinical relevance of MSH6 alterations in glioblastomas. Experimental Design: The MSH6 gene was sequenced in 54 glioblastomas. MSH6 and O6- methylguanine methyltransferase (MGMT) immunohistochemistry was systematically scored in a panel of 46 clinically well-characterized glioblastomas, and the corresponding patient response to treatment evaluated. Results: MSH6 mutation was not observed in any pretreatment glioblastoma (0 of 40), whereas 3 of 14 recurrent cases had somatic mutations (P = 0.015). MSH6 protein expression was detected in all pretreatment (17 of 17) cases examined but, notably, expression was lost in 7 of 17 (41%) recurrences from matched post-XRT + temozolomide cases (P = 0.016). Loss of MSH6 was not associated with O6-methylguanine methyltransferase status. Measurements of in vivo tumor growth using three-dimensional reconstructed magnetic resonance imaging showed that MSH6-negative glioblastomas had a markedly increased rate of growth while under temozolomide treatment (3.17 versus 0.04 cc/mo for MSH6-positive tumors; P = 0.020). Conclusions: Loss of MSH6 occurs in a subset of post-XRT + temozolomide glioblastoma recurrences and is associated with tumor progression during temozolomide treatment, mirroring the alkylator resistance conferred by MSH6 inactivation in vitro. MSH6 deficiency may therefore contribute to the emergence of recurrent glioblastomas during temozolomide treatment.

Multivariate logistic regression for familial aggregation in age at disease onset

Matthews, A. G., Finkelstein, D. M., & Betensky, R. A. (n.d.).

Publication year

2007

Journal title

Lifetime Data Analysis

Volume

13

Issue

2

Page(s)

191-209
Abstract
Abstract
Familial aggregation studies seek to identify diseases that cluster in families. These studies are often carried out as a first step in the search for hereditary factors affecting the risk of disease. It is necessary to account for age at disease onset to avoid potential misclassification of family members who are disease-free at the time of study participation or who die before developing disease. This is especially true for late-onset diseases, such as prostate cancer or Alzheimer's disease. We propose a discrete time model that accounts for the age at disease onset and allows the familial association to vary with age and to be modified by covariates, such as pedigree relationship. The parameters of the model have interpretations as conditional log-odds and log-odds ratios, which can be viewed as discrete time conditional cross hazard ratios. These interpretations are appealing for cancer risk assessment. Properties of this model are explored in simulation studies, and the method is applied to a large family study of cancer conducted by the National Cancer Institute-sponsored Cancer Genetics Network (CGN).

Predicting short-term disability in multiple sclerosis

Gauthier, S. A., Mandel, M., Guttmann, C. R., Glanz, B. I., Khoury, S. J., Betensky, R. A., & Weiner, H. L. (n.d.).

Publication year

2007

Journal title

Neurology

Volume

68

Issue

24

Page(s)

2059-2065
Abstract
Abstract
OBJECTIVE: To develop covariate specific short-term disability curves to demonstrate the probability of progressing by Expanded Disability Status Scale (EDSS) at semiannual visits. METHODS: Semiannual EDSS scores were prospectively collected in 218 relapsing-remitting (RR) and clinically isolated syndrome (CIS) patients as part of the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB) study. Baseline brain parenchymal fraction (BPF) and T2 lesion volume were available on 205 patients. A partial proportional odds model determined the influence of covariates on the change in EDSS score at subsequent visits. A discrete second order Markov transitional model was fit and generated a probability matrix for each subject; the 6-month probabilities of EDSS change were graphically represented. RESULTS: The univariate analysis demonstrated the lowest baseline BPF quartile (OR 1.99; p = 0.0203) and the highest T2 lesion volume quartile (OR 2.19; p = 0.0130) were associated with progression in EDSS. Covariate specific disability curves demonstrated the effect of BPF and T2 lesion volume on short-term progression. In subjects with a 6-month EDSS of 2, the probability of a sustained progression of an EDSS of 3 within 3 years was 0.277 for a subject with low BPF and a high T2 lesion volume vs 0.055 for a subject with high BPF and a low T2 lesion volume. CONCLUSIONS: Markov transitional models allow for the comparison of covariate specific short-term disability changes among groups of patients with multiple sclerosis.

Testing goodness of fit of a uniform truncation model

Mandel, M., & Betensky, R. A. (n.d.).

Publication year

2007

Journal title

Biometrics

Volume

63

Issue

2

Page(s)

405-412
Abstract
Abstract
Several goodness-of-fit tests of a lifetime distribution have been suggested in the literature; many take into account censoring and/or truncation of event times. In some contexts, a goodness-of-fit test for the truncation distribution is of interest. In particular, better estimates of the lifetime distribution can be obtained when knowledge of the truncation law is exploited. In cross-sectional sampling, for example, there are theoretical justifications for the assumption of a uniform truncation distribution, and several studies have used it to improve the efficiency of their survival estimates. The duality of lifetime and truncation in the absence of censoring enables methods for testing goodness of fit of the lifetime distribution to be used for testing goodness of fit of the truncation distribution. However, under random censoring, this duality does not hold and different tests are required. In this article, we introduce several goodness-of-fit tests for the truncation distribution and investigate their performance in the presence of censored event times using simulation. We demonstrate the use of our tests on two data sets.

Tests of association under misclassification: Application to histological sampling in oncology

Betensky, R. A., Louis, D. N., & Cairncross, J. G. (n.d.).

Publication year

2007

Journal title

Statistics in Medicine

Volume

26

Issue

26

Page(s)

4808-4816
Abstract
Abstract
Subjects in tumour studies are often misclassified with respect to histologic features that are not routinely recorded in diagnostic reports and that display heterogeneity within tumours. Pathologic analysis of the tumours may miss the feature of interest if the pathologist was not alerted to detail the microscopic feature of interest or if it is not present in the selected specimens. In this setting, only the subjects for whom the outcome is not found are potentially misclassified. Analyses of associations between the observed, potentially misclassified, outcome and a second outcome are invalid if the probability of misclassification depends on the second outcome. Three natural tests of association based on the observed data depend on different numbers of nuisance parameters. Most promising is a test based on the ratio of proportions of the observed feature. We illustrate this test using a study of the association of imaging parameters with genetic features in subjects with oligodendroglioma, a common brain tumour. In this study, calcification, a feature related to the imaging parameters, was potentially misclassified as not present.

A computationally simple bivariate survival estimator for efficacy and safety

Scholtens, D., & Betensky, R. A. (n.d.).

Publication year

2006

Journal title

Lifetime Data Analysis

Volume

12

Issue

3

Page(s)

365-387
Abstract
Abstract
Both treatment efficacy and safety are typically the primary endpoints in Phase II, and even in some Phase III, clinical trials. Efficacy is frequently measured by time to response, death, or some other milestone event and thus is a continuous, possibly censored, outcome. Safety, however, is frequently measured on a discrete scale; in Eastern Cooperative Oncology Group clinical trial E2290, it was measured as the number of weekly rounds of chemotherapy that were tolerable to colorectal cancer patients. For the joint analysis of efficacy and safety, we propose a non-parametric, computationally simple estimator for the bivariate survival function when one time-to-event is continuous, one is discrete, and both are subject to right-censoring. The bivariate censoring times may depend on each other, but they are assumed to be independent of both event times. We derive a closed-form covariance estimator for the survivor function which allows for inference to be based on any of several possible statistics of interest. In addition, we derive its covariance with respect to calendar time of analysis, allowing for its use in sequential studies.

Contact

rebecca.betensky@nyu.edu 708 Broadway New York, NY, 10003