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Auclair, Daniel

0000-0001-5151-3058

Mayo Clinic

Multiple Myeloma Research Foundation, Norwalk, Connecticut.

Citations 3

MinimuMM-seq: Genome Sequencing of Circulating Tumor Cells for Minimally Invasive Molecular Characterization of Multiple Myeloma Pathology
Dutta, Ankit K. , Alberge, Jean-Baptiste , Lightbody, Elizabeth D. , Boehner, Cody J. , Dunford, Andrew , Sklavenitis‐Pistofidis, Romanos , Mouhieddine, Tarek H. , Cowan, Annie , Su, Nang Kham , Horowitz, Erica , Barr, Hadley , Hevenor, Laura , Perry, Jacqueline , Cao, Amanda , Lin, Ziao , Kuhr, Frank K. , Mastro, Richard G. Del , Greipp, Patricia T. , Auclair, Daniel , Ghobrial, Irene M. , Cowan, Annie N , Horowitz, Erica M , Beckwith, Jenna B , Perry, Jacqueline , Cao, Amanda , Lin, Ziao , Kuhr, Frank K , Mastro, Richard G Del , Nadeem, Omar , Greipp, Patricia T , Stewart, Chip , Auclair, Daniel , Getz, Gad , Ghobrial, Irene M , Sklavenitis-Pistofidis, Romanos , Su, Nang K , Alberge, Jean-Baptiste , Nadeem, Omar , Getz, Gad

Cancer Discovery | December 7, 2022 | Volume: 13 | Issue: 2 | Pages: 348-363

10.1158/2159-8290.cd-22-0482 Get It

Abstract Multiple myeloma (MM) develops from well-defined precursor stages; however, invasive bone marrow (BM) biopsy limits screening and monitoring strategies for patients. We enumerated circulating tumor cells (CTC) from 261 patients (84 monoclonal gammopathy of undetermined significance, 155 smoldering multiple myeloma, and 22 MM), with neoplastic cells detected in 84%. We developed a novel approach, MinimuMM-seq, which enables the detection of translocations and copy-number abnormalities through whole-genome sequencing of highly pure CTCs. Application to CTCs in a cohort of 51 patients, 24 with paired BM, was able to detect 100% of clinically reported BM biopsy events and could replace molecular cytogenetics for diagnostic yield and risk classification. Longitudinal sampling of CTCs in 8 patients revealed major clones could be tracked in the blood, with clonal evolution and shifting dynamics of subclones over time. Our findings provide proof of concept that CTC detection and genomic profiling could be used clinically for monitoring and managing disease in MM. Significance: In this study, we established an approach enabling the enumeration and sequencing of CTCs to replace standard molecular cytogenetics. CTCs harbored the same pathognomonic MM abnormalities as BM plasma cells. Longitudinal sampling of serial CTCs was able to track clonal dynamics over time and detect the emergence of high-risk genetic subclones. This article is highlighted in the In This Issue feature, p. 247
Comprehensive Characterization of the Multiple Myeloma Immune Microenvironment Using Integrated scRNA-seq, CyTOF, and CITE-seq Analysis
Jayasinghe, Reyka G. , Lee, Brian , Bhasin, Swati S. , Pilcher, William , Dasari, Surendra , Fiala, Mark A. , Pita-Juárez, Yered , Strausbauch, Michael, Kelly, Geoffrey , Thomas, Beena , Kumar, Shaji , Anderson, Emilie, Wendl, Michael C. , Dawson, Travis , D’souza, Darwin , Cheloni, Giulia , Li, Ying , Dhodapkar, Kavita M. , Vij, Ravi , Vlachos, Ioannis S. , Mehr, Shaadi , Hamilton, Mark , Auclair, Daniel , Kourelis, Taxiarchis , Avigan, David , Dhodapkar, Madhav V. , Gnjatic, Sacha , Ding, Li , Jayasinghe, Reyka G , Bhasin, Swati S , Pilcher, William , Dasari, Surendra , Fiala, Mark A , Pita-Juarez, Yered , Kumar, Shaji K , Dawson, Travis , Oh, Stephen T , Li, Ying , Rahman, Adeeb H , Dhodapkar, Kavita M , Hamilton, Mark , Auclair, Daniel , Dhodapkar, Madhav V , Gnjatic, Sacha , Bhasin, Manoj K , Ding, Li , Vlachos, Ioannis S , Yao, Lijun , Doxie, Deon Bryant , Gonzalez‐Kozlova, Edgar , Thomas, Beena E., Cho, Hearn Jay , Oh, Stephen T. , DiPersio, John F. , Kim-Schulze, Seunghee

Cancer Research Communications | August 31, 2022 | Volume: 2 | Issue: 10 | Pages: 1255-1265

10.1158/2767-9764.crc-22-0022 Get It

As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4+ T/CD8+ T cells ratio. Moreover, we observed upregulation of RAC2 and PSMB9, in natural killer cells of fast progressors compared with those of nonprogressors, as revealed by both scRNA-seq and CITE-seq RNA measurement. This detailed examination of the immune microenvironment in multiple myeloma using multiple single-cell technologies revealed markers associated with multiple myeloma rapid progression which will be further characterized by the full-scale immune atlas project. Significance: scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.
Variability in Cytogenetic Testing for Multiple Myeloma: A Comprehensive Analysis From Across the United States
Yu, Yang , Wadé, Niquelle Brown , Hwang, Amie E. , Nooka, Ajay K. , Fiala, Mark A. , Mohrbacher, Ann , Peters, Edward , Pawlish, Karen , Rand, Kristin A. , Conti, David V. , Auclair, Daniel , Mehta, Jayesh, Haiman, Christopher A. , Terebelo, Howard R. , Janakiraman, Nalini, Vij, Ravi , Bernal‐Mizrachi, Leon , Zonder, Jeffrey A. , Huff, Carol Ann , Orlowski, Robert Z. , Brown Wade, Niquelle , Van Den Berg, David J , Auclair, Daniel , Vij, Ravi , Zonder, Jeffrey A , Huff, Carol A , Cozen, Wendy , Ailawadhi, Sikander , Orlowski, Robert Z. , Fiala, Mark A , Nooka, Ajay K , Conti, David V , Yu, Yang, Bock, Cathryn Hufford , Berg, David Van Den , Stram, Daniel O. , Colditz, Graham A. , Singhal, Seema , Chiu, Brian C.‐H. , Lonial, Sagar , Cozen, Wendy , Ailawadhi, Sikander

JCO Oncology Practice | May 29, 2020 | Volume: 16 | Issue: 10 | Pages: e1169-e1180

10.1200/jop.19.00639 Get It

Purpose: Multiple myeloma (MM) treatment has changed tremendously, with significant improvement in patient out-comes. One group with a suboptimal benefit is patients with high-risk cytogenetics, as tested by conventional karyotyping or fluorescence in situ hybridization (FISH). Methodology for these tests has been published, but not necessarily standardized. Methods: We address variability in the testing and reporting methodology for MM cytogenetics in the United States using the ongoing African American Multiple Myeloma Study (AAMMS). We evaluated clinical and cytogenetic data from 1,221 patients (1,161 with conventional karyotyping and 976 with FISH) tested between 1998 and 2016 across 58 laboratories nationwide. Results: Interlab and intralab variability was noted for the number of cells analyzed for karyotyping, with a significantly higher number of cells analyzed in patients in whom cytogenetics were normal (P 5.0025). For FISH testing, CD138-positive cell enrichment was used in 29.7% of patients and no enrichment in 50% of patients, whereas the remainder had unknown status. A significantly smaller number of cells was analyzed for patients in which CD138 cell enrichment was used compared with those without such enrichment (median, 50 v 200; P, .0001). A median of 7 loci probes (range, 1-16) were used for FISH testing across all laboratories, with variability in the loci probed even within a given laboratory. Chromosome 13–related abnormalities were the most frequently tested abnormality (n5956; 97.9%), and t(14;16) was the least frequently tested abnormality (n 5 119; 12.2%). Conclusions: We report significant variability in cytogenetic testing across the United States for MM, potentially leading to variability in risk stratification, with possible clinical implications and personalized treatment approaches.