Back to Authors

Ferrara, James L.M.

https://orcid.org/0000-0001-8595-3940

Mayo Clinic

Tisch Cancer Institute

Citations 32

An early-biomarker algorithm predicts lethal graft-versus-host disease and survival
Hartwell, Matthew J. , Özbek, Umut , Holler, Ernst , Renteria, Anne S. , Major-Monfried, Hannah , Reddy, Pavan , Aziz, Mina, Ayuk, Francis , Efebera, Yvonne A. , Bunworasate, Udomsak , Ordemann, Rainer, Wölfl, Matthias , Mielke, Stephan , Pawarode, Attaphol , Chen, Yi‐Bin , Harris, Andrew C. , Jagasia, Madan , Kitko, Carrie L. , Litzow, Mark R. , Morales, George , Nakamura, Ryotaro , Rösler, Wolf, Weber, Daniela , Yanik, Gregory A. , Levine, John E. , Ferrara, James L.M. , Hogan, William J. , Hexner, Elizabeth O. , Qayed, Muna , Mielke, Stephan , Devine, Steven M. , Kröger, Nicolaus , Locatelli, Franco , Reshef, Ran , Wudhikarn, Kitsada , Levine, John E

JCI Insight | February 8, 2017 | Volume: 2 | Issue: 3 | Pages: No page available

10.1172/jci.insight.89798 Get It

BACKGROUND. No laboratory test can predict the risk of nonrelapse mortality (NRM) or severe graft-versus-host disease (GVHD) after hematopoietic cellular transplantation (HCT) prior to the onset of GVHD symptoms. METHODS. Patient blood samples on day 7 after HCT were obtained from a multicenter set of 1,287 patients, and 620 samples were assigned to a training set. We measured the concentrations of 4 GVHD biomarkers (ST2, REG3α, TNFR1, and IL-2Rα) and used them to model 6-month NRM using rigorous cross-validation strategies to identify the best algorithm that defined 2 distinct risk groups. We then applied the final algorithm in an independent test set ( n = 309) and validation set ( n = 358). RESULTS. A 2-biomarker model using ST2 and REG3α concentrations identified patients with a cumulative incidence of 6-month NRM of 28% in the high-risk group and 7% in the low-risk group ( P < 0.001). The algorithm performed equally well in the test set (33% vs. 7%, P < 0.001) and the multicenter validation set (26% vs. 10%, P < 0.001). Sixteen percent, 17%, and 20% of patients were at high risk in the training, test, and validation sets, respectively. GVHD-related mortality was greater in high-risk patients (18% vs. 4%, P < 0.001), as was severe gastrointestinal GVHD (17% vs. 8%, P < 0.001). The same algorithm can be successfully adapted to define 3 distinct risk groups at GVHD onset. CONCLUSION. A biomarker algorithm based on a blood sample taken 7 days after HCT can consistently identify a group of patients at high risk for lethal GVHD and NRM. FUNDING. The National Cancer Institute, American Cancer Society, and the Doris Duke Charitable Foundation.
Late acute graft-versus-host disease: a prospective analysis of clinical outcomes and circulating angiogenic factors
Holtan, Shernan G. , Khera, Nandita , Levine, John E. , Chai, Xiaoyu , Storer, Barry E. , Liu, Hien , Inamoto, Yoshihiro , Mayer, Sebastian , Arora, Mukta , Palmer, Jeanne , Lukez, Alexander , Arai, Sally , Lazaryan, Aleksandr , Newell, Laura F. , Krupski, Christa , Jagasia, Madan , Pusic, Iskra , Wood, William A. , Renteria, Anne S. , Yanik, Gregory A. , Ayuk, Francis , Holler, Ernst , Watanaboonyongcharoen, Phandee , Efebera, Yvonne A. , Ferrara, James L.M. , Weisdorf, Daniel J. , Lee, Stephanie J. , Pidala, Joseph, Chen, George L. , Flowers, Mary E.D. , Cutler, Corey S. , Hogan, William J. , Hexner, Elizabeth O. , Panoskaltsis‐Mortari, Angela , Weisdorf, Dan , Levine, John E , Holtan, Shernan , Lee, Stephanie J , Wood, William A

Blood | September 14, 2016 | Volume: 128 | Issue: 19 | Pages: 2350-2358

10.1182/blood-2015-09-669846 Get It

Key Points Under current treatment approaches, patients with LA GVHD have poor overall and failure-free survival. Levels of AREG are elevated in LA GVHD, and the AREG/EGF ratio is predictive of overall survival and nonrelapse mortality in LA GVHD.