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Wang, Yucai

https://orcid.org/0000-0002-1576-8341

Mayo Clinic

Mayo Clinic

Citations 302

Low Incidence of Fungal Infections after Chimeric Antigen Receptor T-Cell Therapy for Non-Hodgkin Lymphoma in an Endemic Region for Coccidioidomycosis
Ulrickson, Matthew L. , Mead‐Harvey, Carolyn , Castro, Januario E. , Palmer, Jeanne , Leis, José F., Johnston, Patrick B. , Blair, Janis E. , Kharfan‐Dabaja, Mohamed A. , Castro, Januario E , Gaulin, Charles , Husnain, Muhammad , Iqbal, Madiha , Vergidis, Paschalis , Rosenthal, Allison , Murthy, Hemant S. , Wang, Yucai , Lin, Yi , Muñoz, Javier

Blood | November 28, 2022 | Volume: 140 | Issue: Supplement 1 | Pages: 12111-12113

10.1182/blood-2022-159744 Get It

BRUIN MCL-321: Phase III Study of Pirtobrutinib Versus Investigator Choice of BTK Inhibitor in BTK Inhibitor Naive Mantle Cell Lymphoma
Eyre, Toby A. , Shah, Nirav N. , Dreyling, Martin , Jurczak, Wojciech , Gandhi, Mitul, Chay, Christopher H., Sharman, Jeff P. , Andorsky, David , Messersmith, Hannah M, Ruppert, Amy S. , Muthig, Valerie A., Ito, Rodrigo, Wang, Michael , Jurczak, Wojciech , Wang, Yucai , Cheah, Chan Y. , Song, Yuqin , Muthig, Valerie

Future Oncology | November 15, 2022 | Volume: 18 | Issue: 36 | Pages: 3961-3969

10.2217/fon-2022-0976 Get It

Cell of origin is not associated with outcomes of relapsed or refractory diffuse large B cell lymphoma
Desai, Sanjal H. , Mwangi, Raphael , Smith, Alexandra N., King, Rebecca L. , Thompson, Carrie A. , Ansell, Stephen M. , Nowakowski, Grzegorz S. , Thompson, Carrie A , Wang, Yucai , Witzig, T.E. , Desai, Sanjal , Maurer, Matthew J. , Farooq, Umar , Cerhan, James R. , Feldman, Andrew L. , Habermann, Thomas M. , Wang, Yucai , Witzig, Thomas E.

Hematological Oncology | October 28, 2022 | Volume: 41 | Issue: 1 | Pages: 39-49

10.1002/hon.3098 Get It

Abstract Activated B cell (ABC) type diffuse large B cell lymphoma (DLBCL), double hit lymphoma (DHL) and double expressor lymphoma (DEL) have poor outcomes to frontline R‐CHOP but impact of these molecular features on outcomes of relapsed/refractory (R/R) disease is not well‐characterized. We evaluated the association of diagnostic cell of origin (COO), double hit and double expressor status with overall survival after first relapse in DLBCL patients who were enrolled into the Molecular Epidemiology Resource (MER) cohort. COO was available from immunohistochemistry (IHC) using Hans criteria or gene expression profiling (GEP) (Nanostring) on the diagnostic FFPE biopsy. Of 373 pts with R/R DLBCL, 278 had COO by IHC: 152 were GCB, 107 were non‐GCB. One hundred and fourty had COO by GEP: 44 were ABC, 65 were GCB and 13 were unclassifiable. Nineteen out of 163 (12%) were DHL; 30 out of 135 (22%) had DEL. COO, either by IHC (2 years OS GCB: 45% [CI 95 : 38–54] vs. non‐GCB: 44% [CI 95 :36–55], p > 0.05) or GEP (2 years OS ABC: 42% [CI 95 : 29–59] vs. GCB: 40% [CI 95 : 30–54], p > 0.05), was not associated with difference in OS. DHL (2 years OS 16 [CI 95 :6–45] vs. 45% [CI 95 : 34–59], p < 0.01) and DEL (2 years OS 33% [CI 95 : 20–56], vs. 50% [CI 95 : 41–60], p < 0.05) had lower OS than non‐DHL and non‐DEL/non‐DHL counterparts, respectively. COO by IHC or GEP was not associated with OS in R/R DLBCL while DHL and DEL were adverse prognostic markers in DLBCL at first relapse.
High-Dose Methotrexate in Patients With Lymphoma: Predictors of a Complicated Course
O'Donoghue, Darragh, Truong, Huong L. , Finnes, Heidi D. , May, Heather P. , Ansell, Stephen M. , Bennani, N. Nora , Habermann, Thomas M. , Inwards, David J. , Johnston, Patrick B. , Khurana, Arushi , Micallef, Ivana N. , Nowakowski, Grzegorz S. , Porrata, Luis F. , Thanarajasingam, Gita , Thompson, Carrie A. , O'Donoghue, Darragh F, Personett, Heather A. , Ansell, Stephen M , Bennani, N Nora , Habermann, Thomas , Micallef, Ivana N , Nowakowski, Grzegorz S , Paludo, Jonas , Thanarajasingam, Gita , Thompson, Carrie A , Villasboas, Jose Caetano , Wang, Yucai , Witzig, T.E. , Leung, Nelson , McDonald, Jennifer S. , Lin, Yi , Paludo, Jonas , Villasboas, José C. , Wang, Yucai , Witzig, Thomas E. , Leung, Nelson

JCO Oncology Practice | October 14, 2022 | Volume: 18 | Issue: 12 | Pages: e1908-e1917

10.1200/op.22.00182 Get It

PURPOSE:High-dose methotrexate (HDMTX; > 500 mg/m2) is an important component of lymphoma therapy. Serum MTX monitoring at 48 hours is the standard approach to identify those at increased risk of developing MTX toxicity. Our aim was to characterize the incidence of complications and their association with MTX levels.METHODS:A retrospective review of our institutional electronic medical record was conducted to identify patients with lymphoma who received HDMTX between January 1, 2002, and December 31, 2018. We characterized the incidence of acute kidney injury (AKI), intensive care unit (ICU) admission, length of hospital stay (LOS), and 30-day mortality across 48-hour MTX levels. To establish an association between 48-hour MTX levels and the complications listed, we performed chi-square analysis for dichotomous variables and Kruskal-Wallis for nonparametric data. Receiver operator characteristic curve analysis was performed to identify the MTX level where AKI grade ≥ 2 was more likely. Multivariate logistic regression analysis was performed to identify risk factors for this MTX level.RESULTS:We identified 642 patients with 2,804 cycles of HDMTX. The incidence of AKI was 19.1% with AKI grade ≥ 2 making up 21% of cases. Rates of AKI, ICU admission, and 30-day mortality are associated with elevated 48-hour MTX levels. There was a significant increase in median LOS with elevated MTX levels ( P < .001). Receiver operator characteristic curve analysis for AKI grade ≥ 2 demonstrated a 48-hour MTX level threshold of 1.28 μmol/L. Multivariate logistic regression analysis revealed age, male sex, elevated body surface area, higher MTX dose, monotherapy, and first cycle as independent factors.CONCLUSION:Elevated MTX levels are associated with a significant increased rate of AKI, ICU admission, prolonged LOS, and 30-day mortality. Elevated 48-hour MTX levels, particularly > 1.28 μmol/L, should alert clinicians for complications and to initiate measures to reduce MTX levels.
Increasing tissue requirements in lymphoma trials may exclude patients with high-risk disease or worse prognosis
Desai, Sanjal H. , Mwangi, Raphael , Ng, Wern Lynn , King, Rebecca L. , Maurer, Matthew J. , Cerhan, James R. , Feldman, Andrew L. , Farooq, Umar , Mou, Eric , Thompson, Carrie A. , Nowakowski, Grzegorz S. , Wang, Yucai , Witzig, T.E. , Feldman, Andrew L , Maurer, Matthew , Cerhan, James R , Farooq, Umar , Desai, Sanjal , Mou, Eric , Habermann, Thomas M. , Wang, Yucai , Witzig, Thomas E.

Blood Advances | September 28, 2022 | Volume: 6 | Issue: 24 | Pages: 6180-6186

10.1182/bloodadvances.2022007569 Get It

Abstract An enhanced understanding of the molecular heterogeneity of diffuse large B-cell lymphoma (DLBCL) has opened the door to clinical trials evaluating novel agents with subtype-specific activity. It is an emerging question whether core needle biopsies (CNB) can adequately meet the increasing tissue requirements of these clinical trials. This can potentially lead to selective enrollment of patients who can undergo excisional biopsy (EB). It is also important to know whether patients who can undergo extensive diagnostic work up differ in their disease characteristics and outcomes from those who cannot. In this observational study, we describe the characteristics, outcomes, and adequacy of diagnostic tissue in patients with newly diagnosed DLBCL and primary mediastinal large B-cell lymphoma who underwent EB vs CNB. Of the 1061 patients, 532 (49.8%) underwent EB and 529 (50.1%) underwent CNB. A significantly higher proportion of patients with CNB had advanced stage disease, an international prognostic index of ≥3, and inadequate tissue for molecular analyses. Patients with CNB had significantly worse 5-year event-free survival (67.6% vs 56.9%; hazard ratio [HR], 0.76; confidence interval [CI]95, 0.6-0.9, P &lt; .001) and 5-year overall survival (76.4% vs 69.2%; HR, 0.8; CI95, 0.6-0.9, P &lt; .001). Thus, patients who underwent CNB have poor-risk features and inferior outcomes on frontline chemoimmunotherapy, are more likely to have inadequate tissue for molecular analyses, and might not meet the tissue requirements of biomarker-driven clinical trials. Thus, the increasing tissue requirements of biomarker-driven clinical trials may result in the exclusion of patients with high-risk DLBCL who need novel agents.
Efficacy comparison of tisagenlecleucel vs usual care in patients with relapsed or refractory follicular lymphoma
Salles, Gilles , Schuster, Stephen J. , Dreyling, Martin , Fischer, Luca , Patten, Piers , Smith, Sonali M. , Ubieto, Ana Jiménez , Davis, Keith L. , Anjos, Caroline Oliveira dos , Chu, Jufen, Zhang, Jie , Bodoni, Chiara Lobetti, Thiéblemont, Catherine , Fowler, Nathan , Martínez‐López, Joaquín , Link, Brian K. , Martinez-Lopez, Joaquin , Patten, Piers E M , Smith, Sonali M , Dickinson, Michael , Wang, Yucai , Link, Brian K , Martinez-Lopez, Joaquin , Salles, Gilles A , Dreyling, Martin , Martinez-Lopez, Joaquin , Schuster, Stephen J , Kuruvilla, John , Tresckow, Bastian von , Dickinson, Michael , Wang, Yucai

Blood Advances | August 16, 2022 | Volume: 6 | Issue: 22 | Pages: 5835-5843

10.1182/bloodadvances.2022008150 Get It

Abstract The ELARA trial indicates tisagenlecleucel (tisa-cel) is an effective anti-CD19 chimeric antigen receptor T-cell therapy for relapsed or refractory follicular lymphoma (r/r FL). As ELARA is a single-arm trial, this study compares tisa-cel outcomes from the ELARA trial with usual care from a real-world cohort. ELARA enrolled 98 patients as of 29 March 2021 (median follow-up: 15 months from enrollment). Usual care data were obtained from ReCORD-FL, a global retrospective study of patients with r/r FL, who met similar eligibility criteria to ELARA. With a data cutoff date of 31 December 2020, 187 patients with ≥2 preceding treatment lines were included in the ReCORD-FL (median follow-up: 57 months from third-line) study. An indirect treatment comparison was performed for 97 patients from the ELARA trial and 143 patients from the ReCORD-FL study with no missing data on baseline factors. The line of therapy for which outcomes were assessed was selected or matched between cohorts using propensity score modeling. After baseline factor adjustment via weighting by odds, complete response rate (CRR; 95% confidence interval) was 69.1% (59.8%-78.3%) for tisa-cel vs. 37.3% (26.4%-48.3%) for usual care; overall response rate was 85.6% (78.7%-92.5%) vs. 63.6% (52.5%-74.7%). Kaplan-Meier probability of being progression/event-free at 12 months was 70.5% (61.4%-79.7%) for tisa-cel vs. 51.9% (40.6%-63.3%) for usual care, with hazard ratio (HR)=0.60 (0.34-0.86); 12-month overall survival was 96.6% (92.9%-100%) vs. 71.7% (61.2%-82.2%), with HR=0.2 (0.02-0.38). In conclusion, tisa-cel was associated with a 1.9-fold higher complete response rate and a 1.4-fold higher rate of being progression or event free at 12 months vs usual care, as well as a death risk reduction of 80%. The findings provide additional evidence on the benefit of tisa-cel in patients with r/r FL after ≥2 treatment lines. This trial was registered at www.clinicaltrials.gov as NCT03568461
Bayesian sparse modeling to identify high‐risk subgroups in meta‐analysis of safety data
Qi, Xinyue , Wang, Yucai , Peterson, Christine B. , Zhou, Shouhao , Wang, Yucai , Peterson, Christine , Zhou, Shouhao

Research Synthesis Methods | August 11, 2022 | Volume: 13 | Issue: 6 | Pages: 807-820

10.1002/jrsm.1597 Get It

AbstractMeta‐analysis allows researchers to combine evidence from multiple studies, making it a powerful tool for synthesizing information on the safety profiles of new medical interventions. There is a critical need to identify subgroups at high risk of experiencing treatment‐related toxicities. However, this remains quite challenging from a statistical perspective as there are a variety of clinical risk factors that may be relevant for different types of adverse events, and adverse events of interest may be rare or incompletely reported. We frame this challenge as a variable selection problem and propose a Bayesian hierarchical model which incorporates a horseshoe prior on the interaction terms to identify high‐risk groups. Our proposed model is motivated by a meta‐analysis of adverse events in cancer immunotherapy, and our results uncover key factors driving the risk of specific types of treatment‐related adverse events.