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Schlam, Ilana Miriam

0000-0003-4996-0400

Mayo Clinic

MedStar Washington Hospital Center

Citations 2

Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx® Digital Spatial Profiler
Bergholtz, Helga , Carter, Jodi M. , Cesano, Alessandra, Cheang, Maggie C.U. , Church, S. , Divakar, Prajan , Fuhrman, Christopher A. , Goel, Shom , Gong, Jingjing , Guerriero, Jennifer L. , Hoang, Margaret L. , Hwang, E. Shelley , Kuasne, Hellen, Lee, Jinho , Liang, Yan , Perez, Jessica, Prat, Aleix , Pusztai, Lajos , Reeves, Jason , Riazalhosseini, Yasser , Richer, Jennifer K. , Şahin, Özgür , Sato, Hiromi , Sørlie, Thérese , Swarbrick, Alexander , Thompson, E. Aubrey , Tolaney, Sara M. , Warren, Sarah H. , Cheang, Maggie Chon U , Church, Sarah E , Prat, Aleix , Pusztai, Lajos , Sahin, Özgür , Sørlie, Therese , Liang, Yan , Carter, Jodi , Mittendorf, EA , Schlam, Ilana Miriam , Stover, Daniel G. , Swain, Sandra M. , Warren, Sarah

Cancers | September 6, 2021 | Volume: 13 | Issue: 17 | Pages: 4456

10.3390/cancers13174456 Get It

Breast cancer is a heterogenous disease with variability in tumor cells and in the surrounding tumor microenvironment (TME). Understanding the molecular diversity in breast cancer is critical for improving prediction of therapeutic response and prognostication. High-plex spatial profiling of tumors enables characterization of heterogeneity in the breast TME, which can holistically illuminate the biology of tumor growth, dissemination and, ultimately, response to therapy. The GeoMx Digital Spatial Profiler (DSP) enables researchers to spatially resolve and quantify proteins and RNA transcripts from tissue sections. The platform is compatible with both formalin-fixed paraffin-embedded and frozen tissues. RNA profiling was developed at the whole transcriptome level for human and mouse samples and protein profiling of 100-plex for human samples. Tissue can be optically segmented for analysis of regions of interest or cell populations to study biology-directed tissue characterization. The GeoMx Breast Cancer Consortium (GBCC) is composed of breast cancer researchers who are developing innovative approaches for spatial profiling to accelerate biomarker discovery. Here, the GBCC presents best practices for GeoMx profiling to promote the collection of high-quality data, optimization of data analysis and integration of datasets to advance collaboration and meta-analyses. Although the capabilities of the platform are presented in the context of breast cancer research, they can be generalized to a variety of other tumor types that are characterized by high heterogeneity.
Ornithine Decarboxylase: Novel Prognostic Marker and Target for Multiple Myeloma Therapy
Panchabhai, Sonali, Chirackal, Sinto Sebastian, Schlam, Ilana Miriam , Fonseca, Rafaël

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 1824-1824

10.1182/blood.v126.23.1824.1824 Get It

Abstract Multiple myeloma (MM) is an age dependent second most common hematopoietic malignancy which remains incurable despite recent advances in therapies. Monoclonal gammopathy of undetermined significance (MGUS) is a common premalignant condition that precedes MM. Dysregulation and mutations of myriad of molecules is implicated in pathogenesis of MM. Cyclins (CCND) are almost universally dysregulated in MGUS and MM, while c-MYC overexpression and sometimes RAS mutations are associated with MGUS to MM progression. c-MYC, because of its strong association in this malignant transformation and it being a master regulatory factor is a logical therapeutic target. But, a therapeutic approach to target c-MYC has not been successful. So a strategy to target either upstream or downstream molecules in c-MYC pathway is worth considering. Ornithine decarboxylase (ODC) is one such downstream effector of c-MYC which regulates polyamine synthesis and thus regulates cell proliferation. ODC is also downstream of RAS which makes it common to two of the important oncogenes involved in MM. To know whether ODC plays a role in MM pathogenesis, we looked into its gene expression profile in the MM patients. In the Mayo cohort of 100 patients we found significant difference in ODC expression as disease progresses from MGUS to MM. We found significant survival difference in MM patients from this cohort which were divided by ODC expression and this survival difference was more pronounced in non-hyperdiploid group (median survival were for ODC < 1 - 66 mo vs for ODC > 1 - 29.5 mo, Figure 1A) which is a known poor prognostic group. When looked at ODC expression among different TC classes in MMRC dataset, we find ODC expression significantly higher in known high risk and poor prognostic groups 4p16 and MAF than other groups. These findings suggest higher ODC expression associated with poor survival. To further strengthen our observation, we analyzed TT3 group of Arkansas cohort and we observe prolonged event free survival (Figure 1B) and overall survival in patients with low ODC expression as compared to patients with high ODC expression (Figure 1C). After establishing poor prognostic role of ODC, we wanted to test it as a potential therapeutic target. For this purpose, we employed DFMO (Difluromethylornithine) which is the enzymatic irreversible inhibitor of ODC. We tested 15 different MM cell lines for proliferation with DFMO, majority of them respond to DFMO and IC 50 ranged from 28uM to 70 uM. DFMO generally halted cell cylce in G1S and had a cytostatic effect. We further tested efficacy of DFMO in combination with standard anti-myeloma agents lenalidomide, bortezomib, Vorinostat, melphalan and dexamethasone. We found these combinations to be synergistic except with melphalan where the combination was antagonistic. We therefore suggest that DFMO, which has a good toxicity profile can be advantageous in MM patients who are relatively old and many times cannot tolerate extensive chemotherapy for its toxicity. Moreover since it is synergistic in preclinical model with two main anti-myeloma agents lenalidomide and bortezomib, it may well be combined with both to decrease the amount of drug needed and hence toxicity. We think it will be especially beneficial to those patients who have high ODC levels. So we propose ODC to be a prognostic marker and therapeutic target in MM. Disclosures Chirackal: Mayo Clinic: Patents & Royalties: Filed a professional US patent for quantifying cellular anti-oxidative capacity. Fonseca:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Onyx/Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Binding Site: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Applied Biosciences: Membership on an entity's Board of Directors or advisory committees.