Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Thomas Jefferson University

Department of Medical Oncology Faculty Papers

Series

Major clinical study

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Determination Of An Optimal Response Cut-Off Able To Predict Progression-Free Survival In Patients With Well-Differentiated Advanced Pancreatic Neuroendocrine Tumours Treated With Sunitinib: An Alternative To The Current Recist-Defined Response., Angela Lamarca, Jorge Barriuso, Matthew Kulke, Ivan Borbath, Heinz-Josef Lenz, Jean Luc Raoul, Neal J. Meropol, Catherine Lombard-Bohas, James Posey, Sandrine Faivre, Eric Raymond, Juan W. Valle Jan 2018

Determination Of An Optimal Response Cut-Off Able To Predict Progression-Free Survival In Patients With Well-Differentiated Advanced Pancreatic Neuroendocrine Tumours Treated With Sunitinib: An Alternative To The Current Recist-Defined Response., Angela Lamarca, Jorge Barriuso, Matthew Kulke, Ivan Borbath, Heinz-Josef Lenz, Jean Luc Raoul, Neal J. Meropol, Catherine Lombard-Bohas, James Posey, Sandrine Faivre, Eric Raymond, Juan W. Valle

Department of Medical Oncology Faculty Papers

BACKGROUND: Sunitinib prolongs progression-free survival (PFS) in patients with advanced pancreatic neuroendocrine tumours (pNET). Response Evaluation Criteria in Solid Tumors (RECIST)-defined partial responses (PR; classically defined as ⩾30% size decrease from baseline) are infrequent.

METHODS: Individual data of pNET patients from the phase II [NCT00056693] and pivotal phase III [NCT00428597] trials of sunitinib were analysed in this investigator-initiated, post hoc study. The primary objective was to determine the optimal RECIST (v.1.0) response cut-off value to identify patients who were progression-free at 11 months (median PFS in phase III trial); and the most informative time-point (highest area under the curve (AUC) …


Circulating Tumor Cells As Early Predictors Of Metastatic Spread In Breast Cancer Patients With Limited Metastatic Dissemination., Mario Giuliano, Antonio Giordano, Summer Jackson, Ugo De Giorgi, Michal Mego, Evan N Cohen, Hui Gao, Simone Anfossi, Beverly C Handy, Naoto T Ueno, Ricardo H Alvarez, Sabino De Placido, Vicente Valero, Gabriel N Hortobagyi, James M Reuben, Massimo Cristofanilli Sep 2014

Circulating Tumor Cells As Early Predictors Of Metastatic Spread In Breast Cancer Patients With Limited Metastatic Dissemination., Mario Giuliano, Antonio Giordano, Summer Jackson, Ugo De Giorgi, Michal Mego, Evan N Cohen, Hui Gao, Simone Anfossi, Beverly C Handy, Naoto T Ueno, Ricardo H Alvarez, Sabino De Placido, Vicente Valero, Gabriel N Hortobagyi, James M Reuben, Massimo Cristofanilli

Department of Medical Oncology Faculty Papers

IntroductionTraditional factors currently used for prognostic stratification do not always predict adequately treatment response and disease evolution in advanced breast cancer patients. Therefore, the use of blood-based markers, such as circulating tumor cells (CTCs), represents a promising complementary strategy for disease monitoring. In this retrospective study, we explored the role of CTC counts as predictors of disease evolution in breast cancer patients with limited metastatic dissemination.Methods492 advanced breast cancer patients who had a CTC count assessed by CellSearch prior to starting a new line of systemic therapy were eligible for this analysis. Using the threshold of 5 cells/7.5 mL of …