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479 citation(s) found for "Maurer, Matthew".

Depth of metabolic response at interim PET and survival outcomes among patients with primary refractory or early relapsing diffuse large B‐cell lymphoma (DLBCL)
Bock, Allison M. , Mwangi, Raphael , Shreve, J. T., Khurana, Arushi , Wang, Y., Nowakowski, Grzegorz S. , Young, Joseph , Ataei, F., Thorpe, Matthew , Pritchett, Joshua C. , Maurer, Matthew J. , Paludo, Jonas , Cerhan, James R. , Witzig, Thomas E. , Habermann, Thomas M. , Young, J. R.

Mayo Clinic

Hematological Oncology | June 9, 2023 | Volume: 41 | Issue: S2 | Pages: 344-345

10.1002/hon.3164_246 Get It

Automated FDG PET/CT radiomics for risk stratification in newly diagnosed diffuse large B‐cell lymphoma (DLBCL)
Shreve, Jacob , Bock, Allison M. , Shah, M. V., Wang, Y., Nowakowski, Grzegorz S. , Novak, Anne J. , Young, Jason R., Ansell, Stephen M. , Hazim, Antonious , Pritchett, Joshua C. , Maurer, Matthew J. , Binder, Moritz , Witzig, Thomas E. , Cerhan, James R. , Habermann, Thomas M. , Paludo, Jonas

Mayo Clinic

Hematological Oncology | June 9, 2023 | Volume: 41 | Issue: S2 | Pages: 341-342

10.1002/hon.3164_244 Get It

THE PROGNOSTIC IMPACT OF CLINICAL FACTORS AND IMMUNOARCHITECTURAL PATTERNS FOR NODULAR LYMPHOCYTE‐PREDOMINANT HODGKIN LYMPHOMA: AN INTERNATIONAL STUDY BY GLOW
Binkley, Michael S., Borchmann, Peter , Fuchs, Michael , Hartmann, Sylvia , Eich, Hans Theodor, Skinnider, Brian, Steiner, Raphaël , Milgrom, Sarah A. , Alomari, Mohammed H., Zhang, Xieyi , Advani, Ranjana H. , Metzger, Monika L. , Wirth, A., Smith, Sonali M. , Hendrickson, P., Hopkins, David , Ng, Andrea K. , Koenig, Julie L. , Sakthivel, GD, Roberts, Kenneth B. , Gao, Sarah , Kendi, J. Al, Rahbi, Nasser Al, Balogh, Alex, Torka, Pallawi , Silva, Ravi De , Shah, Nimish , Osborne, Wendy , Henry, M M , Chang, Ilsung , Miall, Fiona , Brady, J.L. , Mikhaeel, G., Brennan, Barbara J. , Penn, Andrew M. , Сенченко, М. А. , Reeves, Mark E. , Terezakis, Stephanie , Fergusson, Pamela, Kelly, Kara M. , Advani, Ranjana H , Hopkins, David , Senchenko, Maria Anatolevna , Binkley, Michael S. , Flerlage, Jamie E. , Savage, Kerry J. , Hodgson, David C. , Akhtar, Saad , Rauf, M. Shahzad , Maghfoor, Irfan , Pinnix, Chelsea C. , Vega, Francisco , Alomari, M., Zhang, X., Collins, Graham P. , Dickinson, Michael , Tsang, Richard , Prica, Anca A. , Major, Ajay , Kelsey, Chris R. , McKay, Pamela , Constine, Louis S , Casulo, Carla , Baron, J., Plastaras, John Peter , Kendi, J. Al, Levis, Mario , Ricardi, Umberto , Sridhar, A., Specht, Lena , Pickard, Keir , Blazin, Lindsay , Henry, M., Chang, I., Smith, Christine M , Halperin, Daniel M. , Brennan, B., Penn, A., Volchkov, Egor Vasilevich , Reeves, M., Hoppe, Bradford S. , Talaulikar, Dipti , Pepa, Roberta Della , Picardi, Marco , Kirova, Youlia , Fergusson, P., Northend, Michael , Shankar, Ananth , Maurer, Matthew J. , Natkunam, Yasodha , Eichenauer, Dennis A. , Hoppe, Richard T.

Mayo Clinic

Hematological Oncology | June 9, 2023 | Volume: 41 | Issue: S2 | Pages: 100-101

10.1002/hon.3163_62 Get It

The Immunobiology of histologic transformation in follicular lymphoma: a multi‐omic case‐control study
Whitaker, Katherine R. , Ferre, R. Leon, Soekojo, Cinnie Yentia , Whitaker, K. R., Maurer, Matthew J. , Villasboas, José C.

Mayo Clinic

Hematological Oncology | June 9, 2023 | Volume: 41 | Issue: S2 | Pages: 261-262

10.1002/hon.3164_174 Get It

COORDINATED CHANGES IN THE TUMOR MICROENVIRONMENT (TME) ARE ASSOCIATED WITH INCREASED RISK OF THERAPEUTIC FAILURE IN NEWLY DIAGNOSED DIFFUSE LARGE B‐CELL LYMPHOMA (DLBCL)
Whitaker, Katherine R. , Ferré, Raimón, Moore, R. M., Soekojo, Cinnie Yentia , Whitaker, K. R., Ferre, R. Leon, Moore, R. M., Maurer, Matthew J. , Villasboas, José C.

Mayo Clinic

Hematological Oncology | June 9, 2023 | Volume: 41 | Issue: S2 | Pages: 226-227

10.1002/hon.3163_148 Get It

Depth of metabolic response at interim PET and survival outcomes among patients with primary refractory and early relapsing diffuse large B-cell lymphoma (DLBCL).
Bock, Allison M. , Mwangi, Raphael , Ataei, Fatemah, Shreve, Jacob , Khurana, Arushi , Nowakowski, Grzegorz S. , Thorpe, Matthew , Maurer, Matthew J. , Pritchett, Joshua C. , Paludo, Jonas , Cerhan, James R. , Witzig, Thomas E. , Habermann, Thomas M. , Wang, Yucai , Young, Jason R.

Mayo Clinic

Journal of Clinical Oncology | June 4, 2023 | Volume: 41 | Issue: 16_suppl | Pages: 7543-7543

10.1200/jco.2023.41.16_suppl.7543 Get It

7543 Background: Total metabolic tumor volume (TMTV) and maximum standardized uptake value (SUVmax) may improve upon standard 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET-CT)-based assessment of advanced DLBCL during treatment. We report the association of TMTV and SUVmax changes at interim PET-CT (PET2) on survival outcomes in patients with primary refractory DLBCL (prDLBCL) and early relapsing DLBCL (erDLBCL). Methods: Adult patients with prDLBCL (less than a complete response (CR) or progression by the end of treatment (EOT)) or erDLBCL (CR at EOT with relapse within 12 months) between 2005 and 2019 at Mayo Clinic Rochester were included. The % change (Δ) from baseline to PET2 (after 2 cycles of 1L therapy) of TMTV and SUVmax were measured. A PET segmentation threshold of 1.5 liver mean SUV + two standard deviations with a minimum volume constraint of 0.5 mL was utilized (MIM Software, Inc., Cleveland OH, USA) with manual input as needed. Functional splines analysis determined SUVmax and TMTV threshold for analysis. Results: 131 patients had complete PET-CT data (N=79 prDLBCL, N=52 erDLBCL). Baseline median TMTV and SUVmax were 767.4 cm3 (range 0.9-6840.4) and 20.5 (2.0-52.6), respectively. At a median follow up of 77.6 months, 81 patients had died. 2-year OS rate was 53% (95% CI: 42-67) for patients with a PET2 ΔSUVmax decline ≥65% compared to 15% (95% CI: 7-29) for patients with a PET2 ΔSUVmax decline <65%(p<0.001). PrDLBCL had a 2-year OS rate of 48% (95% CI: 31-74) for a ΔSUVmax ≥65% compared to 7% (95% CI: 2-21) for a ΔSUVmax <65%(p<0.001), which captured 58% of prDLBCL patients (N=46). Two-year OS rate was 43% (95% CI: 34-54) for patients with a ΔTMTV ≥75% compared to 5% (95% CI: 1-35) for patients with ΔTMTV <75% (p<0.001). All patients with a ΔTMTV <75% had prDLBCL. PrDLBCL had a 2-year OS rate of 28% (95% CI: 18-44) for a ΔTMTV ≥75%. The outcomes for ΔSUVmax <65% and ΔTMTV <75% at PET2 remained significant in a cox regression model adjusted for IPI and bulky disease (>10cm)(Table). Conclusions: A ΔTMTV decline <75% or a ΔSUVmax decline <65% at PET2 identified an ultra-high-risk subgroup of DLBCL with particularly poor outcomes, that captured a high percentage of prDLBCL patients, and was significant after adjusting for IPI and bulky baseline disease. These patients may benefit from clinical trials evaluating alternative PET-adapted treatment strategies, but further evaluation among all patients with DLBCL is needed. [Table: see text]
Molecular classification and identification of an aggressive signature in low‐grade B‐cell lymphomas
Hopper, Melissa A. , Wenzl, Kerstin , Hartert, Keenan T. , Krull, Jordan E. , Dropik, Abigail R. , Serres, MaKayla R., Sarangi, Vivekananda , Yang, Zhi‐Zhang, Link, Brian K. , Ansell, Stephen M. , Novak, Anne J. , Paludo, Jonas , McPhail, Ellen Darcy , Link, Brian K , Krull, Jordan E , Hopper, Melissa A , Dropik, Abigail R , Novak, Joseph P. , Manske, Michelle K. , Larson, Melissa C. , Maurer, Matthew J. , Paludo, Jonas , Habermann, Thomas M. , Rimsza, Lisa M. , Cerhan, James R. , Jevremović, Dragan

Mayo Clinic

Hematological Oncology | May 31, 2023 | Volume: 41 | Issue: 4 | Pages: 644-654

10.1002/hon.3187 | PMID 37254453 Get It

Abstract Non‐follicular low‐grade B‐cell lymphomas (LGBCL) are biologically diverse entities that share clinical and histologic features that make definitive pathologic categorization challenging. While most patients with LGBCL have an indolent course, some experience aggressive disease, highlighting additional heterogeneity across these subtypes. To investigate the potential for shared biology across subtypes, we performed RNA sequencing and applied machine learning approaches that identified five clusters of patients that grouped independently of subtype. One cluster was characterized by inferior outcome, upregulation of cell cycle genes, and increased tumor immune cell content. Integration of whole exome sequencing identified novel LGBCL mutations and enrichment of TNFAIP3 and BCL2 alterations in the poor survival cluster. Building on this, we further refined a transcriptomic signature associated with early clinical failure in two independent cohorts. Taken together, this study identifies unique clusters of LGBCL defined by novel gene expression signatures and immune profiles associated with outcome across diagnostic subtypes.
P352 EXPLORATORY ANALYSES FROM APOLLO–B, A PHASE 3 STUDY OF PATISIRAN IN PATIENTS WITH ATTR AMYLOIDOSIS WITH CARDIOMYOPATHY
Kale, Pratibha , Fontana, Marianna , Grogan, Martha , Palacek, T., Hung, R, Puolsen, S, Perfetto, Federico , Yu, W, Sarswat, N., Yureneva, Elena, Jay, Patrick Y. , Cappelli, Francesco , Kale, P, Maurer, Matthew J. , Fontana, Marianna , Fernandes, Fábio Danziato , Taylor, Mark , Hung, R, González-Duarte, Alejandra , Donal, Erwan , Tsujita, Kenichi , White, M, Vest, J, Gillmore, Julian D.

Mayo Clinic

European Heart Journal Supplements | May 18, 2023 | Volume: 25 | Issue: Supplement_D | Pages: D181-D182

10.1093/eurheartjsupp/suad111.425 Get It

Abstract Introduction Transthyretin–mediated (ATTR) amyloidosis is a progressive and fatal disease. Patients with hereditary or wild–type ATTR amyloidosis frequently develop cardiomyopathy (CM). Patisiran, an IV RNAi therapeutic that inhibits synthesis of wt and variant TTR, is approved for the treatment of hATTR amyloidosis with polyneuropathy. Methods In APOLLO–B, patients were 18–85 yrs old with evidence of cardiac amyloidosis by echocardiography, ATTR amyloid deposition on tissue biopsy or fulfilling nonbiopsy diagnostic criteria for ATTR amyloidosis with CM, and had prior hospitalization for heart failure (HF) due to ATTR amyloidosis or clinical evidence of HF. Patients were randomized 1:1 to patisiran IV 0.3 mg/kg or placebo Q3W for 12 months. The primary endpoint was change from baseline in 6–MWT at Month 12 (M12) with patisiran vs placebo. Exploratory parameters at M12 included changes in cardiac biomarkers, echocardiography and Tc scintigraphy. Results APOLLO–B enrolled 360 patients (patisiran, n=181; placebo, n=179): median age, 76.0 yrs; male, 89%; wtATTR, 80%; on tafamidis at baseline, 25%. Patisiran showed a significant benefit compared with placebo in 6–MWT (median [95% CI] change from baseline: patisiran, –8.15 [–16.42, 1.50]; placebo, –21.35 [–34.05, –7.52]; HL estimate of median difference: 14.69 [0.69, 28.69]; p=0.0162). Patisiran demonstrated favorable trends in change from baseline of NT–proBNP (mean fold change ratio [95% CI]: 0.80 [0.73, 0.89]; p=1.825×10–5) and troponin I (mean fold change ratio [95% CI]: 0.87 [0.80, 0.95]; p=0.0011) at M12 vs placebo. Patisiran also demonstrated a trend towards benefit in change from baseline of most evaluated echocardiographic parameters at M12 vs placebo. Patisiran–treated patients evaluable for scintigraphy (n=37) experienced a reduction (37.8%) or no change (62.2%) in Perugini grade at M12 compared with baseline. Among placebo patients (n=28) at M12, none experienced a reduction from baseline in Perugini grade, and 1 (3.6%) increased in grade. Patisiran demonstrated an acceptable safety profile; AEs were mostly mild or moderate in severity, and there were no cardiac safety concerns. Conclusions Exploratory analyses after 12 months provide further evidence for the potential benefit of patisiran treatment on cardiac biomarkers and manifestations of cardiac amyloid involvement in patients with ATTR amyloidosis. The long–term impact of patisiran will be assessed in the ongoing APOLLO–B open–label extension.
Abstract 1181: Etiologic heterogeneity of genetic risk for DLBCL cell-of origin molecular subtypes
Waller, Rosalie, Robinson, Dennis P. , Novak, Anne J. , Wenzl, Kerstin , King, Rebecca L. , Nowakowski, Grzegorz S. , Rimsza, Lisa M. , Feldman, Andrew L. , Maurer, Matthew J. , Link, Brian K. , Habermann, Thomas M. , Slager, Susan L. , Cerhan, James R.

Mayo Clinic

Cancer Research | April 4, 2023 | Volume: 83 | Issue: 7_Supplement | Pages: 1181-1181

10.1158/1538-7445.am2023-1181 Get It

Abstract Diffuse large B-cell lymphoma (DLBCL) is clinically and biologically heterogenous. Based on gene expression profiling of the tumor, DLBCL is classified into two major molecular subtypes linked to cell-of-origin (COO): germinal center (GCB) and activated B-Cell (ABC). The GCB subtype is characterized by a high prevalence of somatic mutations, particularly in apoptosis genes (e.g., BCL2) which is characteristic of follicular lymphoma (FL, another GCB lymphoma). The development of the validated NanoString gene expression test as well as immunohistochemistry markers that work in formalin-fixed, paraffin-embedded tissue allows for the classification of DLBCL by COO in epidemiological studies. We hypothesized that integration of COO with germline genetics could provide insight into the underlying biology driving this heterogeneity, as well as insight into putative function of germline risk variants. Prior genome wide association studies (GWAS) have identified 7 SNPs in 6 susceptibility loci for DLBCL, including: 2p23.3 (rs79480871 NCOA1), 3q13.33 (rs9831894 CD86), 3p24.1 (rs6773363 EOMES), 6p21.33 (rs2523607 HLA-B), 6p25.3 (rs116446171 EXOC2), and 8q24.21 (rs13255292 and rs4733601 PVT1 and MYC). Two of these loci were also identified in FL GWAS (different lead SNPs): 6p21.33 (rs3130437) and 8q24.21 (rs13254990 PVT1). Additional published FL susceptibility loci include: 3q28 (rs6444305 LPP), 6p21.32 (rs9268839), 11q23.3 (rs4938573 CXCR5), 11q24.3 (rs4937362 ETS1), and 18q21.33 (rs17749561 BCL2). Here we evaluated whether the published DLBCL/FL loci differ by COO molecular subtypes. We evaluated each of the 14 DLBCL/FL SNPs by case-case (GCB vs. nonGCB DLBCL) and polytomous case-control (GCB, nonGCB, and FL vs. controls) analyses. DLBCL cases were classified into GCB vs. nonGCB based on best available data from NanoString, RNAseq, followed by the Hans algorithm. A total of 778 DLBCL cases (470 GCB and 308 nonGCB), 1,050 FL cases, and 1,383 controls were analyzed. Odds ratios (OR) based on ordinal encoding of each SNP and 95% CI were calculated for each of the comparison groups. The ORs for four GWAS SNPs were significantly elevated in GCB vs. nonGCB DLBCL as well as in FL; two were FL GWAS SNPs from the HLA region (6p21.32 and 6p21.33) and the other two (BCL2 and ETS1) are important in the germinal center program. In contrast, one SNP (EXOC2) was significantly elevated in nonGCB-DLBCL and was not associated with GCB-DLBCL or FL; this SNP is also near IRF4 (MUM1), a gene important in the ABC program. For the remaining SNPs, there were suggestive associations for GCB-DLBCL and FL versus nonGCB DLBCL (CD86, CXCR5); nonGCB-DLBCL vs. GCB-DLBCL and FL (NCOA1, PVT1); and associations that showed no pattern with COO (EOMES, LPP, HLA-B and MYC). These findings provide insight into the shared pathogenesis of FL and GCB-DLBCL to inform etiologic mechanisms and risk assessment. Citation Format: Rosalie Griffin Waller, Dennis P. Robinson, Anne J. Novak, Lisa M. Rimsza, Kerstin Wenzl, Rebecca L. King, Andrew L. Feldman, Matthew J. Maurer, Grzegorz S. Nowakowski, Brian K. Link, Thomas M. Habermann, Susan L. Slager, James R. Cerhan. Etiologic heterogeneity of genetic risk for DLBCL cell-of origin molecular subtypes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1181.