Chandran, Uma

Abstract Background: Antigen receptor stimulation induces assembly of the CARMA1-BCL10-MALT1 (CBM) signaling complex, which leads to activation of downstream transcriptional regulators including NF-κB and subsequent lymphocyte activation. Gain-of-function mutations in B-cell receptor subunits, CARMA1, or BCL10 which lead to constitutive activation of MALT1 underly the pathogenesis of multiple lymphoid malignancies, including activated B-cell–type diffuse large B-cell lymphoma (ABC-DLBCL). During previous efforts to identify regulators of MALT1 activity in lymphocytes, we discovered that G-protein-coupled receptor kinase 2 (GRK2) binds to MALT1, inhibits MALT1 scaffolding and proteolytic activities, and functions as a tumor suppressor in MALT1-dependent lymphomas. Notably, GRK2 mRNA expression is markedly lower in a subset of DLBCL tumors in comparison to normal B cells and lower GRK2 is associated with decreased patient survival in ABC-DLBCL. In light of these findings, we investigated the molecular mechanisms regulating GRK2 expression and then characterized the roles of specific GRK2-targeting miRNAs in ABC-DLBCL. Methods and Results: After finding that global impairment of miRNA processing through DICER1 depletion leads to increased GRK2 protein, we conducted bioinformatic analyses of patient tumor samples and microRNA Data Integration Portal screening to identify candidate microRNAs that target GRK2 in ABC-DLBCL. Direct targeting of GRK2 by candidate miRNAs was then confirmed by GRK2 3’UTR reporter assay. We tested for expression of three candidate microRNAs in ABC-DLBCL cells and observed elevated expression in both OCI-LY3 and TMD8 cells, which exhibited reduced GRK2 mRNA expression compared with primary B cells. Inhibition of candidate miRNAs in ABC-DLBCL cells, using anti-miRNA Locked Nucleic Acids (LNA) inhibitors, led to enhanced GRK2 expression, reduced MALT1 activity and decreased cell proliferation. Conversely, stable overexpression of candidate microRNAs led to reduced GRK2 expression, enhanced MALT1 activity and increased cell proliferation. In vivo, treatment of mice with inhibitors of candidate microRNAs abrogates the growth of ABC-DLBCL xenograft tumors. Conclusion: We have identified three miRNAs that negatively regulate GRK2 expression in ABC-DLBCL. By targeting GRK2 for downregulation, these miRNAs promote MALT1 oncoprotein scaffold and protease activities. Furthermore, inhibitors of these miRNAs enhance GRK2 expression and thereby suppress MALT1 activity and MALT1-dependent tumor cell proliferation in vitro and inhibit MALT1-dependent tumor growth in vivo. MicroRNA inhibitors that enhance GRK2 expression could represent a new approach for restraining MALT1-dependent lymphoma. Citation Format: Jing Cheng, Mei Smyers, Matt Trotta, Neil M. Carleton, Lisa M. Maurer, Uma R. Chandran, Min Xia, Ari M. Melnick, Peter C. Lucas, Linda M. McAllister-Lucas. Inhibitors of GRK2-targeting-microRNAs: New therapeutic strategies for MALT1-dependent lymphomas [abstract]. In: Proceedings of the Fifth AACR International Meeting on Advances in Malignant Lymphoma: From Discovery to Clinical Impact; 2026 Jun 24-27; Philadelphia, PA. Philadelphia (PA): AACR; Blood Cancer Discov 2026;7(3_Suppl):Abstract nr A033.

Abstract Patients with metastatic breast cancer (MBC) typically have short survival times and their successful treatment represents one of most challenging aspects of patient care. This poor prognostic behavior is in part due to molecular features including increased tumor cell clonal heterogeneity, multiple drug resistance mechanisms, and alterations of the tumor microenvironment. The AURORA US Metastasis Project was established with the goal to identify molecular features specifically associated with metastasis. We therefore collected and molecularly characterized specimens from 55 metastatic breast cancer (BC) patients representing 51 primary cancers and 102 metastases. The 153 unique tumors were assayed using RNAseq, tumor/germline DNA exomes and low pass whole genome sequencing, and global DNA methylation microarrays. We found intrinsic molecular subtype differences between primary tumors and their matched metastases to be rare in triple negative breast cancer (TNBC)/Basal-like subtype tumors. Conversely, tumor subtype changes were relatively frequent in estrogen receptor positive (ER+) cancers where ~30% of Luminal A cases switched to Luminal B or HER2-enriched (HER2E) subtypes. Clonal evolution studies identified changes in expression subtype coincident with DNA clonality shifts, especially involving HER2 amplification and/or the HER2E expression subtype. We further found evidence for ER-mediated downregulation of genes involved in cell-cell adhesion in metastases. Microenvironment differences varied according to tumor subtype where ER+/Luminal metastases had lower fibroblast and endothelial cell content, while TNBC/Basal-like metastases showed a dramatic decrease in B cells and T cells. In 17% of metastatic tumors, we identified DNA hypermethylation and/or focal DNA deletions near HLA-A that were associated with its’ significantly reduced expression, and with lower immune cell infiltrates. We also identified low immune cell features in brain and liver metastases when compared to other metastatic sites, even within the same patient. These findings have direct implications for the treatment of metastatic breast cancer patients with immune- and HER2-targeting therapies and suggest potential novel therapeutic avenues for the improvement of outcomes for some patients with MBC.

Abstract Background: It has become increasingly clear that effective treatment of metastatic breast cancer (MBC) requires an in-depth understanding of the molecular differences between primary tumors and metastases. The AURORA US Network was established to collect primary breast cancer-metastasis pairs for multi-platform genomic profiling in order to identify the molecular drivers of metastatic disease. AURORA US has both a retrospective and prospective phase. This is the first report of the retrospective phase. Methods: Archived tissue samples from the primary tumor and at least one distant metastasis were retrospectively collected from 83 MBC patients. Following internal quality assessment, samples from 55 pts, including 105 distinct metastatic lesions, were subject to DNA low pass whole genome and exome sequencing, DNA methylation arrays, and RNA sequencing. Early analyses of these multi-platform data include: DNA methylation, tumor gene expression and microenvironmental signatures, somatic and germline variants, DNA copy number changes, and structural variants between breast primaries and matched metastases. Results: Median age at diagnosis was 49 years (25-76); 32 (58%) were Stage I or II at presentation, 27 (49%) had a family history of breast cancer, and 20 (36%) had a second breast primary. Median disease-free interval before developing MBC was 2 years (range 0-36, 5 patients presented with Stage IV). Median overall survival from initial presentation was 4 years (range 0-37). Median survival after developing MBC was 1 year (range 0-13), with a median of three treatments. Primary tissue samples were banked from 1977-2017 and metastases were banked from 1999-2017. Clinical phenotypes of the primaries included 27 HR+ (49%), 15 triple negative (TNBC, 27%), and 11 HER2+ (20%, 12 missing HER2 status). Intrinsic subtype distribution of the primaries included 17 Basal-like (31%), 17 Luminal A (31%), 7 Normal-like (13%), 5 HER2-enriched (9%), and 1 Luminal B, with 8 pending. All metastases from the Basal-like cases remained Basal-like, while metastases from luminal primaries tended to gain HER2-Enriched subtype features (5/18, p = 0.01). Overall, we identified significant metastasis-enriched alterations in metabolism pathways, an increase in proliferation, and the loss of differentiation signatures and immune infiltrates with progression; the latter being the most pronounced in brain metastases. The most frequent somatic mutations in this cohort were in TP53, NCOR1, and RUNX1. Interestingly, ERBB2, EGFR, and ATM were also mutated in ≥10% of the tumors sequenced. In almost all cases, CpG island hypermethylation was clonally present in the primary tumor and persisted stably in the majority of metastatic lesions. Promoter CpG island hypermethylation was also identified in some metastatic lesions at JAM3, an important cellular adhesion molecule,and this was accompanied by reduced mRNA expression. CONCLUSIONS: Collection of banked primary and metastatic tissue pairs identified a young MBC cohort with a high frequency of breast cancer family history and second breast primaries. Molecular characterization of luminal tumor pairs highlighted acquisition of aggressive traits including increased proliferation and loss of differentiation in the metastases. In contrast, basal-like pairs remained relatively unchanged, except for the loss of immune activation. Ongoing analyses to be presented include clonal heterogeneity and phylogeny, novel metastasis signature discovery, gene fusion, and endogenous retrovirus detection. Citation Format: Tari A King, Minetta C Liu, Marni B McClure, Toshinori Hinoue, Benjamin J Kelly, Chad J Creighton, Jay Bowen, Kristen Leraas, Robyn T Burns, Sara Coppens, Salma Rezk, Amy L Garrett, Justin M Balko, Joel S Parker, Ben H Park, Ian Krop, Carey Anders, Katherine A Hoadley, Julie Gastier-Foster, Mothaffar F Rimawi, Rita Nanda, Nancy U Lin, Claudine Isaacs, P. Kelly Marcom, Anna Maria Storniolo, Fergus J Couch, Elaine R Mardis, Adrian V Lee, Uma Chandran, Peter W Laird, Susan G Hilsenbeck, Larry Norton, Andrea L Richardson, W. Fraser Symmans, Lisa A Carey, Antonio C Wolff, Nancy E Davidson, Charles M Perou, the AURORA US Network. Multiplatform analysis of matched primary and metastatic breast tumors from the AURORA US Network [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr GS3-08.

Abstract Ovarian cancer is the most common and most lethal gynecologic malignancy. Despite clear histologic and molecular differences between disease subtypes, all patients receive cytotoxic chemotherapy and survival has not improved significantly for several decades. Identifying avenues for targeted therapy is critical to improving clinical outcomes. Given the vast heterogeneity of ovarian cancer, therapeutic strategies will vary based on subtype and specific biomarkers. Estrogen receptor-alpha (ER) is expressed in ∼70% of serous ovarian tumors and epidemiologic evidence indicates estrogen contributes to the disease etiology. Further, clinical data suggest that a subset of patients with serous carcinoma benefit from endocrine therapy. However, the full potential of endocrine therapy in ovarian cancer has been understudied. We hypothesize that a subset of serous ovarian tumors are dependent upon estrogen and that expression of ER target genes will identify patients who can be successfully treated with endocrine therapy. We characterized response to estradiol (E2) in four ER+ serous ovarian cancer cell lines, focusing on cell proliferation, survival, and gene expression. Proliferation was evaluated in 2-D and in a 3-D matrigel system. Survival was assayed in low-attachment conditions. We also evaluated response to anti-estrogens 4-hydroxytamoxifen (4OHT) and fulvestrant (ICI). Expression of canonical ER targets (e.g. GREB1, IGFBP3) was measured by qPCR. Gene expression microarrays after E2 treatment were used to identify genome-wide effects of ER. Studies of endocrine response in vivo are ongoing in patient-derived xenograft models. E2 promotes growth of PEO1 and PEO4 cells in 2-D and 3-D culture, with PEO4 cells exhibiting greater E2 dependence. Preliminary results indicate that E2 also promotes survival in low-attachment conditions. Growth and survival are both decreased by treatment with fulvestrant or 4-hydroxytamoxifen. Conversely, OVCA432 and OVSAHO cells do not respond to treatment with ER ligands. Microarrays identified E2-regulated genes in PEO1 and PEO4 cells that may be utilized as biomarkers of ER activity. Several of these ER targets are differentially expressed between E2-responsive and E2-independent cell lines including DEPTOR, GREB1, GFRA2, and EPHB3. We are currently overlapping our array results with publicly available datasets to develop a gene signature of E2 response, which we will use to profile ER signaling in clinical specimens and patient derived xenografts. Our results suggest that a subset of serous ovarian cancers are endocrine responsive. These studies will determine if expression of specific ER targets correlates with endocrine response and thus if they can be harnessed to predict clinical response to endocrine therapy. Citation Format: Courtney L. Andersen, Matthew J. Sikora, Soumya Luthra, Uma Chandran, Paul Haluska, Steffi Oesterreich. Utilizing ER target genes as biomarkers of endocrine response in serous ovarian carcinoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2103. doi:10.1158/1538-7445.AM2014-2103