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Dive into the research topics where Jocelyn C. Migliacci is active.

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Featured researches published by Jocelyn C. Migliacci.


CA: A Cancer Journal for Clinicians | 2017

Head and Neck cancers-major changes in the American Joint Committee on cancer eighth edition cancer staging manual.

William M. Lydiatt; Snehal G. Patel; Brian O'Sullivan; Margaret S. Brandwein; John A. Ridge; Jocelyn C. Migliacci; Ashley Loomis; Jatin P. Shah

Answer questions and earn CME/CNE


Blood | 2015

Prognostic value of FDG-PET prior to autologous stem cell transplantation for relapsed and refractory diffuse large B-cell lymphoma

Craig S. Sauter; Matthew J. Matasar; Jessica Meikle; Heiko Schöder; Gary A. Ulaner; Jocelyn C. Migliacci; Patrick Hilden; Sean M. Devlin; Andrew D. Zelenetz; Craig H. Moskowitz

High-dose chemotherapy (HDT) plus autologous stem cell transplantation (ASCT) is the standard of care for chemosensitive relapsed and refractory diffuse large B-cell lymphoma (rel/ref DLBCL). Interim restaging with functional imaging by positron emission tomography using (18)F-deoxyglucose (FDG-PET) has not been established after salvage chemotherapy (ST) and before HDT-ASCT by modern criteria. Herein, we evaluated 129 patients with rel/ref DLBCL proceeding to HDT-ASCT, with ST response assessment by FDG-PET according to the contemporary Deauville 5-point scale. At 3 years, patients achieving a Deauville response of 1 to 3 to ST experienced superior progression-free survival (PFS) and overall survival (OS) rates of 77% and 86%, respectively, compared with patients achieving Deauville 4 (49% and 54%, respectively) (P < .001). No other pre-HDT-ASCT risk factors significantly impacted PFS or OS. Despite achieving remission to ST, patients with Deauville 4 should be the focus of risk-adapted investigational therapies.


Thyroid | 2016

An International Multi-Institutional Validation of Age 55 Years as a Cutoff for Risk Stratification in the AJCC/UICC Staging System for Well-Differentiated Thyroid Cancer

Iain J. Nixon; Laura Y. Wang; Jocelyn C. Migliacci; Antoine Eskander; Michael J. Campbell; Ahmad Aniss; Lilah F. Morris; Fernanda Vaisman; Rossana Corbo; Denise Momesso; Mario Vaisman; André Lopes Carvalho; Diana L. Learoyd; William D. Leslie; Richard W. Nason; Deborah Kuk; Volkert B. Wreesmann; Luc G. T. Morris; Frank L. Palmer; Ian Ganly; Snehal G. Patel; Bhuvanesh Singh; R. Michael Tuttle; Ashok R. Shaha; Mithat Gonen; K. Alok Pathak; Wen T. Shen; Mark S. Sywak; L. P. Kowalski; Jeremy L. Freeman

BACKGROUND Age is a critical factor in outcome for patients with well-differentiated thyroid cancer. Currently, age 45 years is used as a cutoff in staging, although there is increasing evidence to suggest this may be too low. The aim of this study was to assess the potential for changing the cut point for the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) staging system from 45 years to 55 years based on a combined international patient cohort supplied by individual institutions. METHODS A total of 9484 patients were included from 10 institutions. Tumor (T), nodes (N), and metastasis (M) data and age were provided for each patient. The group was stratified by AJCC/UICC stage using age 45 years and age 55 years as cutoffs. The Kaplan-Meier method was used to calculate outcomes for disease-specific survival (DSS). Concordance probability estimates (CPE) were calculated to compare the degree of concordance for each model. RESULTS Using age 45 years as a cutoff, 10-year DSS rates for stage I-IV were 99.7%, 97.3%, 96.6%, and 76.3%, respectively. Using age 55 years as a cutoff, 10-year DSS rates for stage I-IV were 99.5%, 94.7%, 94.1%, and 67.6%, respectively. The change resulted in 12% of patients being downstaged, and the downstaged group had a 10-year DSS of 97.6%. The change resulted in an increase in CPE from 0.90 to 0.92. CONCLUSIONS A change in the cutoff age in the current AJCC/UICC staging system from 45 years to 55 years would lead to a downstaging of 12% of patients, and would improve the statistical validity of the model. Such a change would be clinically relevant for thousands of patients worldwide by preventing overstaging of patients with low-risk disease while providing a more realistic estimate of prognosis for those who remain high risk.


Head and Neck-journal for The Sciences and Specialties of The Head and Neck | 2016

Influence of extracapsular nodal spread extent on prognosis of oral squamous cell carcinoma

Volkert B. Wreesmann; Nora Katabi; Frank L. Palmer; Pablo H. Montero; Jocelyn C. Migliacci; Mithat Gonen; Diane L. Carlson; Ian Ganly; Jatin P. Shah; Ronald Ghossein; Snehal G. Patel

An objective definition of clinically relevant extracapsular nodal spread (ECS) in head and neck squamous cell carcinoma (SCC) is unavailable.


Thyroid | 2015

Survival from Differentiated Thyroid Cancer: What Has Age Got to Do with It?

Ian Ganly; Iain J. Nixon; Laura Y. Wang; Frank L. Palmer; Jocelyn C. Migliacci; Ahmad Aniss; Mark S. Sywak; Antoine Eskander; Jeremy L. Freeman; Michael J. Campbell; Wen T. Shen; Fernanda Vaisman; Denise Momesso; Rossana Corbo; Mario Vaisman; Ashok R. Shaha; R. Michael Tuttle; Jatin P. Shah; Snehal G. Patel

BACKGROUND In most staging systems, 45 years of age is used to differentiate low risk thyroid cancer from high risk thyroid cancer. However, recent studies have questioned both the precise 45 year age point and the concept of using a binary cut off as accurate predictors of disease specific mortality. METHODS A cohort of 3664 thyroid cancer patients that received surgery and adjuvant treatment at Memorial Sloan Kettering Cancer Center (MSKCC) from the years 1985 to 2010 were analyzed to determine the significance of age at diagnosis as a categorical variable at a variety of age cutoffs (5 year intervals between 30 and 70 years of age). The unadjusted and adjusted hazard ratio for the association between disease-specific survival and age was determined using a Cox proportional hazards model adjusted for other predictive variables sex, histology, and pathological T, N, and M status. Furthermore, predictive nomograms of disease-specific mortality were created and validated on an external dataset of 4551 patients to evaluate the impact of age at diagnosis as both a categorical and continuous variable. RESULTS In the MSKCC cohort, with a median follow-up time of 54 months (range 1-332), there were 59 deaths from thyroid cancer with a 10 year disease-specific survival of 96%. Adjusted hazard ratios for all age cutoffs from age 30 to age 70 years were significant. There was no specific cutoff age which risk stratifies patients with differentiated thyroid cancer (DTC). Categorizing age into five strata (<40, 40-49, 50-59, 60-69 and >70 years) showed a 37-fold increase in hazard ratio from age <40 years to age >70 years. A predictive nomogram using age as a continuous variable with other predictive variables had a high concordance index of 96%. Validation on the external cohort had a concordance index of 73%. CONCLUSIONS Mortality from DTC increases progressively with advancing age. There is no specific cutoff age which risk stratifies patients with DTC. A predictive nomogram using age as a continuous variable may be a more appropriate tool for stratifying patients with DTC and for predicting outcome.


British Journal of Surgery | 2016

Outcomes for patients with papillary thyroid cancer who do not undergo prophylactic central neck dissection

Iain J. Nixon; Laura Y. Wang; Ian Ganly; Snehal G. Patel; Luc G. T. Morris; Jocelyn C. Migliacci; R. M. Tuttle; Jatin P. Shah; Ashok R. Shaha

The role of prophylactic central neck dissection (CND) in the management of papillary thyroid cancer (PTC) is controversial. This report describes outcomes of an observational approach in patients without clinical evidence of nodal disease in PTC.


The Journal of Nuclear Medicine | 2016

Prospective Study of 3′-Deoxy-3′-18F-Fluorothymidine PET for Early Interim Response Assessment in Advanced-Stage B-Cell Lymphoma

Heiko Schöder; Andrew D. Zelenetz; Paul A. Hamlin; Somali Gavane; Steven M. Horwitz; Matthew J. Matasar; Alison J. Moskowitz; Ariela Noy; Lia Palomba; Carol S. Portlock; David Straus; Ravinder K. Grewal; Jocelyn C. Migliacci; Steven M. Larson; Craig H. Moskowitz

Current clinical and imaging tools remain suboptimal for early assessment of prognosis and treatment response in aggressive lymphomas. PET with 3′-deoxy-3′-18F-fluorothymidine (18F-FLT) can be used to measure tumor cell proliferation and treatment response. In a prospective study in patients with advanced-stage B-cell lymphoma, we investigated the prognostic and predictive value of 18F-FLT PET in comparison to standard imaging with 18F-FDG PET and clinical outcome. Methods: Sixty-five patients were treated with an induction/consolidation regimen consisting of 4 cycles of R-CHOP-14 (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) followed by 3 cycles of ICE (ifosfamide, carboplatin, etoposide). 18F-FLT PET was performed at baseline and at interim (iPET) after 1–2 cycles of therapy. 18F-FDG PET was performed at baseline, after cycle 4, and at the end of therapy. The relationship between PET findings, progression-free survival (PFS) and overall survival (OS) was investigated. Results: With a median follow-up of 51 mo, PFS and OS were 71% and 86%, respectively. 18F-FLT iPET, analyzed visually (using a 5-point score) or semiquantitatively (using SUV and ΔSUV) predicted both PFS and OS (P < 0.01 for all parameters). Residual 18F-FLT SUVmax on iPET was associated with an inferior PFS (hazard ratio, 1.26, P = 0.001) and OS (hazard ratio, 1.27, P = 0.002). When 18F-FDG PET was used, findings in the end of treatment scan were better predictors of PFS and OS than findings on the interim scan. Baseline PET imaging parameters, including SUV, proliferative volume, or metabolic tumor volume, did not correlate with outcome. Conclusion: 18F-FLT PET after 1–2 cycles of chemotherapy predicts PFS and OS, and a negative 18F-FLT iPET result may potentially help design risk-adapted therapies in patients with aggressive lymphomas. In contrast, the positive predictive value of 18F-FLT iPET remains too low to justify changes in patient management.


Leukemia | 2015

Targeted mutational profiling of peripheral T-cell lymphoma not otherwise specified highlights new mechanisms in a heterogeneous pathogenesis

Jonathan H. Schatz; Steven M. Horwitz; Julie Teruya-Feldstein; Matthew A. Lunning; Agnes Viale; Kety Huberman; Nicholas D. Socci; N. Lailler; Adriana Heguy; Igor Dolgalev; Jocelyn C. Migliacci; Mono Pirun; Maria Lia Palomba; David M. Weinstock; H-G Wendel

Targeted mutational profiling of peripheral T-cell lymphoma not otherwise specified highlights new mechanisms in a heterogeneous pathogenesis


European Journal of Cancer | 2015

Nomograms for predicting survival and recurrence in patients with adenoid cystic carcinoma. An international collaborative study.

Ian Ganly; Moran Amit; Lei Kou; Frank L. Palmer; Jocelyn C. Migliacci; Nora Katabi; Changhong Yu; Michael W. Kattan; Yoav Binenbaum; Kanika Sharma; Ramer Naomi; Agbetoba Abib; Brett A. Miles; Xinjie Yang; Delin Lei; Kristine Bjoerndal; Christian Godballe; Thomas Mücke; Klaus Dietrich Wolff; Dan M. Fliss; A. Eckardt; Copelli Chiara; Enrico Sesenna; Safina Ali; Lukas Czerwonka; David P. Goldstein; Ziv Gil; Snehal G. Patel

BACKGROUND Due to the rarity of adenoid cystic carcinoma (ACC), information on outcome is based upon small retrospective case series. The aim of our study was to create a large multiinstitutional international dataset of patients with ACC in order to design predictive nomograms for outcome. METHODS ACC patients managed at 10 international centers were identified. Patient, tumor, and treatment characteristics were recorded and an international collaborative dataset created. Multivariable competing risk models were then built to predict the 10 year recurrence free probability (RFP), distant recurrence free probability (DRFP), overall survival (OS) and cancer specific mortality (CSM). All predictors of interest were added in the starting full models before selection, including age, gender, tumor site, clinical T stage, perineural invasion, margin status, pathologic N-status, and M-status. Stepdown method was used in model selection to choose predictive variables. An external dataset of 99 patients from 2 other institutions was used to validate the nomograms. FINDINGS Of 438 ACC patients, 27.2% (119/438) died from ACC and 38.8% (170/438) died of other causes. Median follow-up was 56 months (range 1-306). The nomogram for OS had 7 variables (age, gender, clinical T stage, tumor site, margin status, pathologic N-status and M-status) with a concordance index (CI) of 0.71. The nomogram for CSM had the same variables, except margin status, with a concordance index (CI) of 0.70. The nomogram for RFP had 7 variables (age, gender, clinical T stage, tumor site, margin status, pathologic N status and perineural invasion) (CI 0.66). The nomogram for DRFP had 6 variables (gender, clinical T stage, tumor site, pathologic N-status, perineural invasion and margin status) (CI 0.64). Concordance index for the external validation set were 0.76, 0.72, 0.67 and 0.70 respectively. INTERPRETATION Using an international collaborative database we have created the first nomograms which estimate outcome in individual patients with ACC. These predictive nomograms will facilitate patient counseling in terms of prognosis and subsequent clinical follow-up. They will also identify high risk patients who may benefit from clinical trials on new targeted therapies for patients with ACC. FUNDING None.


Cancer | 2015

Cost-Effectiveness Analysis of Papillary Thyroid Cancer Surveillance

Laura Y. Wang; Benjamin R. Roman; Jocelyn C. Migliacci; Frank L. Palmer; R. Michael Tuttle; Ashok R. Shaha; Jatin P. Shah; Snehal G. Patel; Ian Ganly

The recent overdiagnosis of subclinical, low‐risk papillary thyroid cancer (PTC) coincides with a growing national interest in cost‐effective health care practices. The aim of this study was to measure the relative cost‐effectiveness of disease surveillance of low‐risk PTC patients versus intermediate‐ and high‐risk patients in accordance with American Thyroid Association risk categories.

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Snehal G. Patel

Memorial Sloan Kettering Cancer Center

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Ian Ganly

Memorial Sloan Kettering Cancer Center

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Jatin P. Shah

Memorial Sloan Kettering Cancer Center

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Andrew D. Zelenetz

Memorial Sloan Kettering Cancer Center

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Ashok R. Shaha

Memorial Sloan Kettering Cancer Center

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Craig H. Moskowitz

Memorial Sloan Kettering Cancer Center

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Frank L. Palmer

Memorial Sloan Kettering Cancer Center

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Laura Y. Wang

Memorial Sloan Kettering Cancer Center

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Richard J. Wong

Memorial Sloan Kettering Cancer Center

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Ronald Ghossein

Memorial Sloan Kettering Cancer Center

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