Back to Authors

Gomez, Felicia

https://orcid.org/0000-0003-4884-7510

Mayo Clinic

Washington University in St. Louis

Citations 4

Abstract P06: Characterization of the Immune Tumor Microenvironment in a Diverse Cohort of Patients with Multiple Myeloma
Shivaram, Suganti, Tang, Hongwei , Yan, Huihuang , Tian, Shulan , Qin, Guyu , Anderson, Emilie, Bolarinwa, Abiola , Zepeda‐Mendoza, Cinthya , Dasari, Surendra , Kourelis, Taxiarchis , Kumar, Shaji , Bolarinwa, Abiola B , Tang, Hongwei, Sharma, Neeraj , Lehman, Stacey L. , Gomez, Felicia , Mitra, Amit , Baughn, Linda B.

Blood Cancer Discovery | March 4, 2024 | Volume: 5 | Issue: 2_Supplement | Pages: P06-P06

10.1158/2643-3249.bcdsymp24-p06 Get It

Abstract Multiple myeloma (MM) is the most common blood cancer in African American (AA) individuals. AAs have an increased risk of developing Monoclonal Gammopathy of Undetermined Significance (MGUS) and MM compared to non-Hispanic White (NHW) individuals. While several studies have shown a pivotal role for the immune tumor microenvironment (iTME) in MM pathogenesis, the composition of the iTME in AAs with MM is under investigated. Viably frozen whole bone marrow (BM) aspirates from 128 individuals (53 AA and 75 NHW) with either MM (n=65), MGUS (n=28), smoldering MM (SMM, n=13), or healthy controls (n=22) were evaluated by single cell RNA-sequencing (scRNA-seq) or mass cytometry (CyTOF). We characterized 34 (14 AA and 20 NHW) by scRNA-seq and 94 (39 AA and 55 NHW) by CyTOF. CyTOF samples were stained with Maxpar Direct Immune Profiling Assay Kit (Fluidigm), acquired on a Helios mass cytometer and analyzed in Cytobank. Data were analyzed by logistic equivalent regression model with p<0.05 for significance. ScRNA-seq samples were processed as in Yao, 2022. Data were normalized using scvi-tools and clustered by Uniform manifold approximation and projection (UMAP). Differentially expressed markers between clusters were identified using Model-based Analysis of Single-cell Transcriptomics (MAST) in Seurat R package at FDR < 0.05 and log2 fold change > 0.55. ScRNA-seq of the CD45+ non-tumor lymphocytes revealed 17 immune populations (HSC, erythroblast, MDSC, GMP, CD1c+ DC, CD4+ and CD8+ T cell, CD14+ M1 macrophage, CD16+monocyte, monocyte, pDC, naïve B, pre-B, pro-B, memory B, NK/MAIT). CD3E/D+cells were clustered into naïve/central memory (CCR7+, LEF1+, SELL+), memory (GZMK+), effector (GZMB+, GZMH+, FGFBP2+), g/d (TRDC+), MAIT (SLC4A10+, KLRB1+) and IFN CD8+ T cells (IFIT1+, IFIT2+,IFIT3+). Disease progression was associated with increases in median CD4+ and CD8+ GZMK+ T cells, memory B cells and a reduction in all monocyte clusters. Within the diseased cohort in comparison to NHW patients, AA patients had increased CD3+ T cells (CD4 and CD8+) (AA 57.5% vs. NHW 44.3%) and a reduction in overall monocytes (AA 10.5% vs. 26.5%). These results were validated by CyTOF, which confirmed an increase in CD3+ T cells (AA 53.7% vs. NHW 35.7%, p<0.001) including increases in CD8+ (AA 7.0% vs. NHW 3.2%, p<0.05) and CD4+ terminal effector T cells (AA 5.7% vs. NHW 2.7%, p<0.05) and a reduction in monocytes (AA 18.3% vs. NHW 26.6%) among AAs. After adjusting for age and sex, AAs retained an increase in T cells (OR 1.59 (95%CI 1.2-2.01, p=0.00023)) and a reduction in monocytes (OR 0.88 (95%CI 0.78-1, p=0.045)). Despite the increase in CD8+ T cells in AA patients, we identified reduced GZMK+ T cells and reductions in exhaustion markers (TIGIT, LAG3, TOX) in CD8+ T cells in comparison to NHWs. Nevertheless, the distribution of the immune populations was similar between healthy AA and NHW individuals. Our multiomics approach to characterize the iTME identified significant differences among AA compared to NHW patients with MM. Citation Format: Suganti Shivaram, Hongwei Tang, Huihuang Yan, Shulan Tian, Guyu Qin, Emilie Anderson, Neeraj Sharma, Abiola Bolarinwa, Cinthya Zepeda-Mendoza, Stacey Lehman, Felicia Gomez, Amit Mitra, Surendra Dasari, Taxiarchis Kourelis, Shaji Kumar, Linda Baughn. Characterization of the Immune Tumor Microenvironment in a Diverse Cohort of Patients with Multiple Myeloma [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P06.
Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303
Russler‐Germain, David A. , Krysiak, Kilannin , Ramirez, Cody A. , Watkins, Marcus P. , Gomez, Felicia , Trani, Lee , Geyer, Susan M. , Cashen, Amanda F. , Mehta–Shah, Neha , Alderuccio, Juan Pablo , Lossos, Izidore S. , Ondrejka, Sarah L. , Leonard, John P. , Griffith, Malachi , Griffith, Obi L. , Fehniger, Todd A. , Ramirez, Cody , Watkins, Marcus , Gomez, Felicia , Mehta-Shah, Neha , Kahl, Brad S , Bartlett, Nancy L , Alderuccio, Juan Pablo , Lossos, Izidore S , Ondrejka, Sarah , Hsi, Eric D , Griffith, Obi L , Fehniger, Todd A , Krysiak, Kilannin , Griffith, Malachi , Russler-Germain, David A , Mosior, Matthew , Skidmore, Zachary L. , Gao, Feng , Kahl, Brad S. , Bartlett, Nancy L. , Hsi, Eric D. , Martin, Peter

Blood Advances | July 26, 2023 | Volume: 7 | Issue: 18 | Pages: 5524-5539

10.1182/bloodadvances.2023010779 Get It

Abstract Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7–Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients.
Mutations Associated with Progression in Follicular Lymphoma Predict Inferior Outcomes in Newly Diagnosed Patients (Alliance 151303)
Krysiak, Kilannin, Trani, Lee , Gao, Feng , Geyer, Susan M. , Cashen, Amanda F. , Mehta-Shah, Neha, Lossos, Izidore S. , Leonard, John P. , Russler‐Germain, David A. , Ramirez, Cody A. , Mosior, Matthew , Watkins, Marcus P. , Gomez, Felicia , Skidmore, Zachary L. , Mehta–Shah, Neha , Kahl, Brad S. , Bartlett, Nancy L. , Hsi, Eric D. , Martin, Peter, Griffith, Malachi , Griffith, Obi L. , Fehniger, Todd A.

Blood | November 28, 2022 | Volume: 140 | Issue: Supplement 1 | Pages: 3543-3545

10.1182/blood-2022-157051 Get It

Single-agent ibrutinib in relapsed or refractory follicular lymphoma: a phase 2 consortium trial
Bartlett, Nancy L. , Costello, Brian A. , LaPlant, Betsy, Ansell, Stephen M. , Reeder, Craig B. , Thye, Lim Soon, Anderson, Daniel M. , Krysiak, Kilannin , Ramirez, Cody A. , Qi, Jing , Siegel, Barry A. , Griffith, Malachi , Griffith, Obi L. , Gomez, Felicia , Fehniger, Todd A. , LaPlant, Betsy R, Krysiak, Kilannin , Griffith, Malachi , Griffith, Obi L , Gomez, Felicia , Fehniger, Todd A , Bartlett, Nancy L , Kuruvilla, John , Ramirez, Cody

Blood | October 26, 2017 | Volume: 131 | Issue: 2 | Pages: 182-190

10.1182/blood-2017-09-804641 Get It

Key Points Ibrutinib has modest activity in FL with low response rates in rituximab-refractory patients. CARD11 mutations predict for lack of response to ibrutinib.