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Dive into the research topics where Andrea Troxel is active.

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Featured researches published by Andrea Troxel.


Journal of Clinical Investigation | 2003

Promotion of tumorigenesis by heterozygous disruption of the beclin 1 autophagy gene

Xueping Qu; Jie Yu; Govind Bhagat; Norihiko Furuya; Hanina Hibshoosh; Andrea Troxel; Jeffrey M. Rosen; Eeva-Liisa Eskelinen; Noboru Mizushima; Yoshinori Ohsumi; Giorgio Cattoretti; Beth Levine

Malignant cells often display defects in autophagy, an evolutionarily conserved pathway for degrading long-lived proteins and cytoplasmic organelles. However, as yet, there is no genetic evidence for a role of autophagy genes in tumor suppression. The beclin 1 autophagy gene is monoallelically deleted in 40-75% of cases of human sporadic breast, ovarian, and prostate cancer. Therefore, we used a targeted mutant mouse model to test the hypothesis that monoallelic deletion of beclin 1 promotes tumorigenesis. Here we show that heterozygous disruption of beclin 1 increases the frequency of spontaneous malignancies and accelerates the development of hepatitis B virus-induced premalignant lesions. Molecular analyses of tumors in beclin 1 heterozygous mice show that the remaining wild-type allele is neither mutated nor silenced. Furthermore, beclin 1 heterozygous disruption results in increased cellular proliferation and reduced autophagy in vivo. These findings demonstrate that beclin 1 is a haplo-insufficient tumor-suppressor gene and provide genetic evidence that autophagy is a novel mechanism of cell-growth control and tumor suppression. Thus, mutation of beclin 1 or other autophagy genes may contribute to the pathogenesis of human cancers.


Statistics in Medicine | 1998

Statistical analysis of quality of life with missing data in cancer clinical trials

Andrea Troxel; Diane L. Fairclough; Desmond Curran; Elizabeth A. Hahn

We summarize issues that arise when considering quality of life (QOL) data in cancer clinical trials, especially those related to missing data. We describe different types of missing data mechanisms, and discuss ways of assessing and testing missing data mechanisms. A section on presentation of study design and results describes how graphical displays can effectively document the extent of the missing data problem, as well as describe its impact on interpretation of results. Finally, we describe several different statistical methods used to analyse repeated measures, with an emphasis on their properties and their ability to adequately handle different types of missing data mechanisms. We make recommendations as to the most appropriate methods, and suggest important directions for future research.


Cancer | 2003

A phase II trial of temozolomide in patients with unresectable or metastatic soft tissue sarcoma

Susan Talbot; Mary Louise Keohan; Mary Hesdorffer; Russell Orrico; Emilia Bagiella; Andrea Troxel; Robert N. Taub

The objective of this study was to assess the efficacy and toxicity of the imidazotetrazine derivative temozolomide for patients with unresectable or metastatic soft tissue sarcoma.


Statistics in Medicine | 1998

A comparative analysis of quality of life data from a Southwest Oncology Group randomized trial of advanced colorectal cancer

Andrea Troxel

Longitudinal quality of life measurements from an advanced-stage cancer clinical trial are analysed using a variety of methods, and the results compared. The methods used require different assumptions about the mechanism that produces the missing data. They include analyses that require the data to be missing completely at random; fixed-effects models and weighted generalized estimating equations, which require missing at random data; and a fully parametric approach where the outcomes and the missingness mechanism are jointly modelled, allowing non-ignorable missing data. The data show evidence of non-random missingness, but a formal test of non-ignorable missing data is not significant.


Annals of Surgical Oncology | 2001

Factors Correlating With Lymph Node Metastases in Patients With T1 Breast Cancer

David R. Brenin; Donna-Marie Manasseh; Mahmoud El-Tamer; Andrea Troxel; Freya Schnabel; Beth Ann Ditkoff; David W. Kinne

Background: Identification of reliable predictors of axillary metastases (ALNM) may be useful in selecting appropriate management for patients with T1-size breast cancer. This study was undertaken to determine the degree of correlation between ALNM and several variables, including age, race, menopausal status, palpability, tumor size, positive margin on initial excision, histology, grade, lymphatic invasion (LI), estrogen receptor status (ER), progesterone receptor status, S-phase, and ploidy.Methods: Data from 1416 patients with T1 breast cancers treated at Columbia-Presbyterian Medical Center between 1989 and 1998 was reviewed. Patients with multifocal tumors were excluded.Results: Mean patient age was 57.5 years (SD = 12.0); 65% of the patients were postmenopausal. One hundred thirty-one patients with T1a (≤0.5 cm), 435 with T1b (0.6–1.0 cm), and 850 patients with T1c (1.1–2.0 cm) lesions were studied. The overall rate of ALNM was 23%. AM was identified in 11% of T1a, 15% of T1b, and 29% of T1c patients. Statistically significant factors from univariate analysis were age, palpability, skin changes, tumor size, LI, histology, grade, ER status, and positive margin on initial excision.Conclusions: Axillary staging by either sentinel lymph node biopsy or level I/II axillary dissection is indicated for most T1 breast cancer patients. Omission of axillary staging can be considered for highly selected patients with T1a cancers.


Journal of data science | 2007

Pseudo-likelihood Methods for the Analysis of Longitudinal Binary Data Subject to Nonignorable Non-monotone Missingness

Michael Parzen; Stuart R. Lipsitz; Garrett M. Fitzmaurice; Joseph G. Ibrahim; Andrea Troxel; Geert Molenberghs; Limburgs Universitair

For longitudinal binary data with non-monotone non-ignorable missing outcomes over time, a full likelihood approach is complicated alge- braically, and maximum likelihood estimation can be computationally pro- hibitive with many times of follow-up. We propose pseudo-likelihoods to estimate the covariate effects on the marginal probabilities of the outcomes, in addition to the association parameters and missingness parameters. The pseudo-likelihood requires specification of the distribution for the data at all pairs of times on the same subject, but makes no assumptions about the joint distribution of the data at three or more times on the same sub- ject, so the method can be considered semi-parametric. If using maximum likelihood, the full likelihood must be correctly specified in order to obtain consistent estimates. We show in simulations that our proposed pseudo- likelihood produces a more efficient estimate of the regression parameters than the pseudo-likelihood for non-ignorable missingness proposed by Troxel et al. (1998). Application to data from the Six Cities study (Ware, et.al, 1984), a longitudinal study of the health effects of air pollution, is discussed.


Cancer | 2003

A phase II trial of docetaxel and estramustine in patients with refractory metastatic breast carcinoma

Amy Tiersten; Caron Nelsen; Susan Talbot; Linda Vahdat; Robert L. Fine; Andrea Troxel; Lois Brafman; Laureen Shriberg; Karen H. Antman; Daniel P. Petrylak

The similarity between the mechanism of action between docetaxel and estramustine generated the hypothesis of synergistic antimicrotubule effects and cytotoxicity when the two agents are combined. In addition, it has been demonstrated that estramustine binds P‐glycoprotein in vitro and, thus, may prevent the efflux of taxanes in tumors that over‐express P‐glycoprotein. To further evaluate the combinations clinical efficacy and safety, a trial was performed in heavily pretreated patients with metastatic breast carcinoma (MBC).


Bone Marrow Transplantation | 2002

Phase II trial of sequential high-dose chemotherapy with paclitaxel, melphalan and cyclophosphamide, thiotepa and carboplatin with peripheral blood progenitor support in women with responding metastatic breast cancer

Linda Vahdat; Casilda Balmaceda; Kyriakos P. Papadopoulos; D Frederick; Diana Donovan; E Sharpe; Elizabeth S. Kaufman; David G. Savage; Amy Tiersten; Gwen Nichols; J Haythe; Andrea Troxel; Karen H. Antman; Charles S. Hesdorffer

A single high-dose cycle of chemotherapy can produce response rates in excess of 50%. However, disease-free survival (DFS) is 15–20% at 5 years. The single most important predictor of prolonged DFS is achieving a complete response (CR). Increasing the proportion of patients who achieve a complete response may improve disease-free survival. Women with metastatic breast cancer and at least a partial response (PR) to induction chemotherapy received three separate high-dose cycles of chemotherapy with peripheral blood progenitor support and G-CSF. The first intensification was paclitaxel (825 mg/m2), the second melphalan (180 mg/m2) and the third consisted of cyclophosphamide 6000 mg/m2 (1500 mg/m2/day × 4), thiotepa 500 mg/m2 (125 mg/m2/day × 4) and carboplatin 800 mg/m2 (200 mg/m2/day × 4) (CTCb). Sixty-one women were enrolled and 60 completed all three cycles. Following the paclitaxel infusion most patients developed a reversible, predominantly sensory polyneuropathy. Of the 30 patients with measurable disease, 12 converted to CR, nine converted to a PR*, and five had a further PR, giving an overall response rate of 87%. The toxic death rate was 5%. No patient progressed on study. Thirty percent are progression-free with a median follow-up of 31 months (range 1–43 months) and overall survival is 61%. Three sequential high-dose cycles of chemotherapy are feasible and resulted in a high response rate. The challenge continues to be maintenance of response and provides the opportunity to evaluate strategies for eliminating minimal residual disease.


Journal of Neuro-oncology | 1999

A Phase I Study of High-dose BCNU, Etoposide and Escalating-dose Thiotepa (BTE) with Hematopoietic Progenitor Cell Support in Adults with Recurrent and High-risk Brain Tumors

Kyriakos P. Papadopoulos; Casilda Balmaceda; Michael R. Fetell; Elizabeth S. Kaufman; Linda Vahdat; Jeffrey N. Bruce; Michael B. Sisti; Steven R. Isaacson; Robert De LaPaz; David G. Savage; Andrea Troxel; Karen H. Antman; Charles S. Hesdorffer

This phase I dose-escalation study was performed to determine the tolerability of three-drug combination high-dose BCNU (B) (450 mg/m2), escalating-dose thiotepa (500–800 mg/m2) and etoposide (1200 mg/m2) in divided doses over four days in 22 adults with malignant primary brain tumors. Patients received G-CSF and hematopoeitic support with peripheral blood progenitor cells (PBPC) (n=18) or both PBPC and marrow (n=4). The maximum tolerated dose of thiotepa with acceptable toxicity was determined as 800 mg/m2. The 100-day mortality rate was 9% (2/22). Grade III/IV toxicities included mucositis (71%), diarrhea (29%), nausea/vomiting (19%), and hepatic toxicity (14%). Neurological toxicities occurred in 24% and included seizures (two patients) and encephalopathy (three patients). Encephalopathy was transient in two patients and progressive in one patient. All patients had neutropenic fever. Median time to engraftment with absolute neutrophil count (ANC) >0.5×109/l was 10 days (range 8–30 days). Platelet engraftment >20×109/l occurred after 11 days (range 9–65 days). In the eighteen patients supported solely with PBPC, there was a significant inverse correlation between CD34+ dose and days to ANC (rho=−0.78, p=0.001) and platelet engraftment (rho=−0.76, p=0.002). Overall, 11% of evaluable patients (2/18) had a complete response to BTE. Median time to tumor progression (TTP) was 9 months, with an overall median survival of 17 months. BCNU (450 mg/m2), thiotepa (800 mg/m2) and etoposide (1200 mg/m2) in divided doses over four days is a tolerable combination HDC regimen, the efficacy of which warrants further investigation in adults with optimally resected chemoresponsive brain tumors.


Breast Journal | 2004

Relationship Between Mammographic Breast Density and Tamoxifen in Women with Breast Cancer

Amy Tiersten; Yin Y. Ng; Eliza Pile-Spellman; Caron Nelsen; Wanda Noguera-Irizarry; Rebecca Brafman; Donna Russo; Andrea Troxel; Alan Johnson

Abstract:  Previous studies have reported that tamoxifen use is associated with a decrease in mammographic breast density. This is a potentially valuable finding since mammographic sensitivity is limited by breast density. Anything that reduces breast density would theoretically enhance the sensitivity of mammography for the detection of breast cancer in women at an earlier stage when it is more curable. We performed a retrospective study investigating the potential effect of tamoxifen on breast density. The data for this retrospective study were collected from the records of 52 charts from a single medical oncologist. Patients with breast cancer were selected regardless of stage or age at the time of diagnosis or treatment, as long as their charts had records of bilateral mammograms. For each breast on each woman, both mediolateral oblique and craniocaudal views were reviewed independently by two radiologists on two separate occasions to obtain inter‐ and intraobserver variability. Two methods of classifying breast density were used: the Breast Imaging Reporting and Data System (BI‐RADS), and measurements of percent density. Only age and menopausal status were found to be associated with breast density. There was no correlation between breast density and tamoxifen use (past or present). Our study shows no association between tamoxifen use and breast density. We confirm previous observations that breast density is inversely correlated with age and postmenopausal status. 

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Elizabeth S. Kaufman

Case Western Reserve University

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Victor R. Grann

University of Pennsylvania

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