1
|
Kabeer F, Tran H, Andronescu M, Singh G, Lee H, Salehi S, Wang B, Biele J, Brimhall J, Gee D, Cerda V, O'Flanagan C, Algara T, Kono T, Beatty S, Zaikova E, Lai D, Lee E, Moore R, Mungall AJ, Williams MJ, Roth A, Campbell KR, Shah SP, Aparicio S. Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers. Genome Biol 2024; 25:191. [PMID: 39026273 PMCID: PMC11256464 DOI: 10.1186/s13059-024-03318-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 06/20/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND The encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and genomic data. Somatic copy number (CN) variation is the dominant mutational mechanism leading to transcriptional variation and notably contributes to platinum chemotherapy resistance cell states. Here, we deploy time series measurements of triple negative breast cancer (TNBC) single-cell transcriptomes, along with co-measured single-cell CN fitness, identifying genomic and transcriptomic mechanisms in drug-associated transcriptional cell states. RESULTS We present scRNA-seq data (53,641 filtered cells) from serial passaging TNBC patient-derived xenograft (PDX) experiments spanning 2.5 years, matched with genomic single-cell CN data from the same samples. Our findings reveal distinct clonal responses within TNBC tumors exposed to platinum. Clones with high drug fitness undergo clonal sweeps and show subtle transcriptional reversion, while those with weak fitness exhibit dynamic transcription upon drug withdrawal. Pathway analysis highlights convergence on epithelial-mesenchymal transition and cytokine signaling, associated with resistance. Furthermore, pseudotime analysis demonstrates hysteresis in transcriptional reversion, indicating generation of new intermediate transcriptional states upon platinum exposure. CONCLUSIONS Within a polyclonal tumor, clones with strong genotype-associated fitness under platinum remained fixed, minimizing transcriptional reversion upon drug withdrawal. Conversely, clones with weaker fitness display non-genomic transcriptional plasticity. This suggests CN-associated and CN-independent transcriptional states could both contribute to platinum resistance. The dominance of genomic or non-genomic mechanisms within polyclonal tumors has implications for drug sensitivity, restoration, and re-treatment strategies.
Collapse
Affiliation(s)
- Farhia Kabeer
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Hoa Tran
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Mirela Andronescu
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Gurdeep Singh
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Hakwoo Lee
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Sohrab Salehi
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Beixi Wang
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Justina Biele
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Jazmine Brimhall
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - David Gee
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Viviana Cerda
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Ciara O'Flanagan
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Teresa Algara
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Takako Kono
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Sean Beatty
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Elena Zaikova
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Daniel Lai
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Eric Lee
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Richard Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Andrew J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Marc J Williams
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew Roth
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Kieran R Campbell
- Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Sohrab P Shah
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Samuel Aparicio
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
- Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
| |
Collapse
|
2
|
Ke C, Huang B, Xiang J, Liang J, Wu G, Qiu M, Cheng K, Mao L, Lei W, Hu Y, Tang X, Tian Y, Chen G, Luo OJ, Zhang H. Secreted clusterin inhibits tumorigenesis by modulating tumor cells and macrophages in human meningioma. Neuro Oncol 2024; 26:1262-1279. [PMID: 38416702 PMCID: PMC11226886 DOI: 10.1093/neuonc/noae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Meningioma is the most common primary intracranial tumor with a high frequency of postoperative recurrence, yet the biology of the meningioma malignancy process is still obscure. METHODS To identify potential therapeutic targets and tumor suppressors, we performed single-cell transcriptome analysis through meningioma malignancy, which included 18 samples spanning normal meninges, benign and high-grade in situ tumors, and lung metastases, for extensive transcriptome characterization. Tumor suppressor candidate gene and molecular mechanism were functionally validated at the animal model and cellular levels. RESULTS Comprehensive analysis and validation in mice and clinical cohorts indicated clusterin (CLU) had suppressive function for meningioma tumorigenesis and malignancy by inducing mitochondria damage and triggering type 1 interferon pathway dependent on its secreted isoform, and the inhibition effect was enhanced by TNFα as TNFα also induced type 1 interferon pathway. Meanwhile, both intra- and extracellular CLU overexpression enhanced macrophage polarization towards M1 phenotype and TNFα production, thus promoting tumor killing and phagocytosis. CONCLUSIONS CLU might be a key brake of meningioma malignance by synchronously modulating tumor cells and their microenvironment. Our work provides comprehensive insights into meningioma malignancy and a potential therapeutic strategy.
Collapse
Affiliation(s)
- Chao Ke
- Department of Neurosurgery, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Boya Huang
- Department of Systems Biomedical Sciences, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Jian Xiang
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Jinlian Liang
- Department of Biophysics and Biochemistry, School of Life Sciences, Guangzhou University, Guangzhou, Guangdong, China
| | - Guangjie Wu
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Minghui Qiu
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Kai Cheng
- Department of Pathology, Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - Lipeng Mao
- Department of Systems Biomedical Sciences, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Wen Lei
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Yang Hu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute, Guangdong Provincial Fertility Hospital, Guangzhou, China
| | - Xiaogen Tang
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Yizhen Tian
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Hongyi Zhang
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| |
Collapse
|
3
|
Mishra R, Thunuguntla P, Perkin A, Duraiyan D, Bagwill K, Gonzales S, Brizuela V, Daly S, Chang YJ, Abebe M, Rajana Y, Wichmann K, Bolick C, King J, Fiala M, Fortier J, Jayasinghe R, Schroeder M, Ding L, Vij R, Silva-Fisher J. LINC01432 binds to CELF2 in newly diagnosed multiple myeloma promoting short progression-free survival to standard therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.27.600975. [PMID: 38979159 PMCID: PMC11230414 DOI: 10.1101/2024.06.27.600975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Multiple Myeloma (MM) is a highly prevalent and incurable form of cancer that arises from malignant plasma cells, with over 35,000 new cases diagnosed annually in the United States. While there are a growing number of approved therapies, MM remains incurable and nearly all patients will relapse and exhaust all available treatment options. Mechanisms for disease progression are unclear and in particular, little is known regarding the role of long non-coding RNAs (lncRNA) in mediating disease progression and response to treatment. In this study, we used transcriptome sequencing to compare newly diagnosed MM patients who had short progression-free survival (PFS) to standard first-line treatment (PFS < 24 months) to patients who had prolonged PFS (PFS > 24 months). We identified 157 differentially upregulated lncRNAs with short PFS and focused our efforts on characterizing the most upregulated lncRNA, LINC01432. We investigated LINC01432 overexpression and CRISPR/Cas9 knockdown in MM cell lines to show that LINC01432 overexpression significantly increases cell viability and reduces apoptosis, while knockdown significantly reduces viability and increases apoptosis, supporting the clinical relevance of this lncRNA. Next, we used individual-nucleotide resolution cross-linking immunoprecipitation with RT-qPCR to show that LINC01432 directly interacts with the RNA binding protein, CELF2. Lastly, we showed that LINC01432-targeted locked nucleic acid antisense oligonucleotides reduce viability and increases apoptosis. In summary, this fundamental study identified lncRNAs associated with short PFS to standard NDMM treatment and further characterized LINC01432, which inhibits apoptosis.
Collapse
|
4
|
Hernandez-Lopez P, Vijaykumar T, Anand P, Auclair D, Frede J, Knoechel B, Lohr JG. Dual role of signaling pathways in myeloma requires cell type-specific targeting of ligand-receptor interactions. Blood Adv 2024; 8:3173-3185. [PMID: 38603572 PMCID: PMC11225681 DOI: 10.1182/bloodadvances.2023011463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/18/2024] [Accepted: 03/27/2024] [Indexed: 04/13/2024] Open
Abstract
ABSTRACT Although most patients with multiple myeloma respond to treatment initially, therapy resistance develops almost invariably, and only a subset of patients show durable responses to immunomodulatory therapies. Although the immune microenvironment has been extensively studied in patients with myeloma, its composition is currently not used as prognostic markers in clinical routine. We hypothesized that the outcome of immune signaling pathway engagement can be highly variable, depending on which 2 cellular populations participate in this interaction. This would have important prognostic and therapeutic implications, suggesting that it is crucial for immune pathways to be targeted in a specific cellular context. To test this hypothesis, we investigated a cohort of 25 patients with newly diagnosed multiple myeloma. We examined the complex regulatory networks within the immune compartment and their impact on disease progression. Analysis of immune cell composition and expression profiles revealed significant differences in the B-cell compartment associated with treatment response. Transcriptional states in patients with short time to progression demonstrated an enrichment of pathways promoting B-cell differentiation and inflammatory responses, which may indicate immune dysfunction. Importantly, the analysis of molecular interactions within the immune microenvironment highlights the dual role of signaling pathways, which can either be associated with good or poor prognosis depending on the cell types involved. Our findings therefore argue that therapeutic strategies targeting ligand-receptor interactions should take into consideration the composition of the microenvironment and the specific cell types involved in molecular interactions.
Collapse
Affiliation(s)
- Pablo Hernandez-Lopez
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA
| | - Tushara Vijaykumar
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA
| | - Praveen Anand
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | | | - Julia Frede
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Birgit Knoechel
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jens G. Lohr
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| |
Collapse
|
5
|
Saunthararajah Y. Oncotherapy resistance explained by Darwinian and Lamarckian models. J Clin Invest 2024; 134:e179788. [PMID: 38618954 PMCID: PMC11014649 DOI: 10.1172/jci179788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024] Open
Abstract
Cell and antibody therapies directed against surface molecules on B cells, e.g., CD19-targeting chimeric antigen receptor T cells (CD19 CAR-T), are now standard for patients with chemorefractory B cell acute lymphoblastic leukemias and other B cell malignancies. However, early relapse rates remain high. In this issue of the JCI, Aminov, Giricz, and colleagues revealed that leukemia cells resisting CD19-targeted therapy had reduced CD19 but also low CD22 expression and were sensitive to Bruton's tyrosine kinase and/or MEK inhibition. Overall, their observations support the evolution of resistance following a Lamarckian model: the oncotherapy directly elicits adaptive, resistance-conferring reconfigurations, which are then inherited by daughter cells as epigenetic changes. The findings prompt reflection also on the broader role of epigenetics in decoupling of replication from lineage differentiation activation by the B cell lineage master transcription factor hub. Such oncogenesis and resistance mechanisms, being predictable and epigenetic, offer practical opportunities for intervention, potentially non-cross-resistant and safe vis-à-vis present cytotoxic and CAR-T treatments.
Collapse
|
6
|
Gong L, Qiu L, Hao M. Novel Insights into the Initiation, Evolution, and Progression of Multiple Myeloma by Multi-Omics Investigation. Cancers (Basel) 2024; 16:498. [PMID: 38339250 PMCID: PMC10854875 DOI: 10.3390/cancers16030498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/08/2024] [Accepted: 01/15/2024] [Indexed: 02/12/2024] Open
Abstract
The evolutionary history of multiple myeloma (MM) includes malignant transformation, followed by progression to pre-malignant stages and overt malignancy, ultimately leading to more aggressive and resistant forms. Over the past decade, large effort has been made to identify the potential therapeutic targets in MM. However, MM remains largely incurable. Most patients experience multiple relapses and inevitably become refractory to treatment. Tumor-initiating cell populations are the postulated population, leading to the recurrent relapses in many hematological malignancies. Clonal evolution of tumor cells in MM has been identified along with the disease progression. As a consequence of different responses to the treatment of heterogeneous MM cell clones, the more aggressive populations survive and evolve. In addition, the tumor microenvironment is a complex ecosystem which plays multifaceted roles in supporting tumor cell evolution. Emerging multi-omics research at single-cell resolution permits an integrative and comprehensive profiling of the tumor cells and microenvironment, deepening the understanding of biological features of MM. In this review, we intend to discuss the novel insights into tumor cell initiation, clonal evolution, drug resistance, and tumor microenvironment in MM, as revealed by emerging multi-omics investigations. These data suggest a promising strategy to unravel the pivotal mechanisms of MM progression and enable the improvement in treatment, both holistically and precisely.
Collapse
Affiliation(s)
- Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
- Gobroad Healthcare Group, Beijing 100072, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 288 Nanjing Road, Tianjin 300020, China;
- Tianjin Institutes of Health Science, Tianjin 300020, China
| |
Collapse
|
7
|
Welsh SJ, Barwick BG, Meermeier EW, Riggs DL, Shi CX, Zhu YX, Sharik ME, Du MT, Abrego Rocha LD, Garbitt VM, Stein CK, Petit JL, Meurice N, Tafoya Alvarado Y, Fonseca R, Todd KT, Brown S, Hammond ZJ, Cuc NH, Wittenberg C, Herzog C, Roschke AV, Demchenko YN, Chen WDD, Li P, Liao W, Leonard WJ, Lonial S, Bahlis NJ, Neri P, Boise LH, Chesi M, Bergsagel PL. Transcriptional Heterogeneity Overcomes Super-Enhancer Disrupting Drug Combinations in Multiple Myeloma. Blood Cancer Discov 2024; 5:34-55. [PMID: 37767768 PMCID: PMC10772542 DOI: 10.1158/2643-3230.bcd-23-0062] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 09/29/2023] Open
Abstract
Multiple myeloma (MM) is a malignancy that is often driven by MYC and that is sustained by IRF4, which are upregulated by super-enhancers. IKZF1 and IKZF3 bind to super-enhancers and can be degraded using immunomodulatory imide drugs (IMiD). Successful IMiD responses downregulate MYC and IRF4; however, this fails in IMiD-resistant cells. MYC and IRF4 downregulation can also be achieved in IMiD-resistant tumors using inhibitors of BET and EP300 transcriptional coactivator proteins; however, in vivo these drugs have a narrow therapeutic window. By combining IMiDs with EP300 inhibition, we demonstrate greater downregulation of MYC and IRF4, synergistic killing of myeloma in vitro and in vivo, and an increased therapeutic window. Interestingly, this potent combination failed where MYC and IRF4 expression was maintained by high levels of the AP-1 factor BATF. Our results identify an effective drug combination and a previously unrecognized mechanism of IMiD resistance. SIGNIFICANCE These results highlight the dependence of MM on IKZF1-bound super-enhancers, which can be effectively targeted by a potent therapeutic combination pairing IMiD-mediated degradation of IKZF1 and IKZF3 with EP300 inhibition. They also identify AP-1 factors as an unrecognized mechanism of IMiD resistance in MM. See related article by Neri, Barwick, et al., p. 56. See related commentary by Yun and Cleveland, p. 5. This article is featured in Selected Articles from This Issue, p. 4.
Collapse
Affiliation(s)
- Seth J. Welsh
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Benjamin G. Barwick
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Erin W. Meermeier
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Daniel L. Riggs
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Chang-Xin Shi
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Yuan Xiao Zhu
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Meaghen E. Sharik
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Megan T. Du
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Leslie D. Abrego Rocha
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Victoria M. Garbitt
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Caleb K. Stein
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Joachim L. Petit
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Nathalie Meurice
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Yuliza Tafoya Alvarado
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Rodrigo Fonseca
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Kennedi T. Todd
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Sochilt Brown
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Zachery J. Hammond
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Nicklus H. Cuc
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Courtney Wittenberg
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Camille Herzog
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Anna V. Roschke
- Genetics Branch, Center for Cancer Research, NCI, Bethesda, Maryland
| | | | - Wei-dong D. Chen
- Genetics Branch, Center for Cancer Research, NCI, Bethesda, Maryland
| | - Peng Li
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, NIH, Bethesda, Maryland
| | - Wei Liao
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, NIH, Bethesda, Maryland
| | - Warren J. Leonard
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, NIH, Bethesda, Maryland
| | - Sagar Lonial
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Nizar J. Bahlis
- Department of Medical Oncology and Hematology, Tom Baker Cancer Center, Calgary, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Canada
| | - Paola Neri
- Department of Medical Oncology and Hematology, Tom Baker Cancer Center, Calgary, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Canada
| | - Lawrence H. Boise
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Marta Chesi
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - P. Leif Bergsagel
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| |
Collapse
|
8
|
Poos AM, Prokoph N, Przybilla MJ, Mallm JP, Steiger S, Seufert I, John L, Tirier SM, Bauer K, Baumann A, Rohleder J, Munawar U, Rasche L, Kortüm KM, Giesen N, Reichert P, Huhn S, Müller-Tidow C, Goldschmidt H, Stegle O, Raab MS, Rippe K, Weinhold N. Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis. Blood 2023; 142:1633-1646. [PMID: 37390336 PMCID: PMC10733835 DOI: 10.1182/blood.2023019758] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/12/2023] [Indexed: 07/02/2023] Open
Abstract
Intratumor heterogeneity as a clinical challenge becomes most evident after several treatment lines, when multidrug-resistant subclones accumulate. To address this challenge, the characterization of resistance mechanisms at the subclonal level is key to identify common vulnerabilities. In this study, we integrate whole-genome sequencing, single-cell (sc) transcriptomics (scRNA sequencing), and chromatin accessibility (scATAC sequencing) together with mitochondrial DNA mutations to define subclonal architecture and evolution for longitudinal samples from 15 patients with relapsed or refractory multiple myeloma. We assess transcriptomic and epigenomic changes to resolve the multifactorial nature of therapy resistance and relate it to the parallel occurrence of different mechanisms: (1) preexisting epigenetic profiles of subclones associated with survival advantages, (2) converging phenotypic adaptation of genetically distinct subclones, and (3) subclone-specific interactions of myeloma and bone marrow microenvironment cells. Our study showcases how an integrative multiomics analysis can be applied to track and characterize distinct multidrug-resistant subclones over time for the identification of molecular targets against them.
Collapse
Affiliation(s)
- Alexandra M. Poos
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Nina Prokoph
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Moritz J. Przybilla
- Division Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
| | - Jan-Philipp Mallm
- Single Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Simon Steiger
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Isabelle Seufert
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Lukas John
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Stephan M. Tirier
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Katharina Bauer
- Single Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Anja Baumann
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Jennifer Rohleder
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Umair Munawar
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
- Mildred Scheel Early Career Center, University Hospital of Würzburg, Würzburg, Germany
| | - K. Martin Kortüm
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
| | - Nicola Giesen
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Philipp Reichert
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefanie Huhn
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, GMMG-Study Group at University Hospital Heidelberg, Heidelberg, Germany
| | - Oliver Stegle
- Division Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Marc S. Raab
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| |
Collapse
|
9
|
Terekhanova NV, Karpova A, Liang WW, Strzalkowski A, Chen S, Li Y, Southard-Smith AN, Iglesia MD, Wendl MC, Jayasinghe RG, Liu J, Song Y, Cao S, Houston A, Liu X, Wyczalkowski MA, Lu RJH, Caravan W, Shinkle A, Naser Al Deen N, Herndon JM, Mudd J, Ma C, Sarkar H, Sato K, Ibrahim OM, Mo CK, Chasnoff SE, Porta-Pardo E, Held JM, Pachynski R, Schwarz JK, Gillanders WE, Kim AH, Vij R, DiPersio JF, Puram SV, Chheda MG, Fuh KC, DeNardo DG, Fields RC, Chen F, Raphael BJ, Ding L. Epigenetic regulation during cancer transitions across 11 tumour types. Nature 2023; 623:432-441. [PMID: 37914932 PMCID: PMC10632147 DOI: 10.1038/s41586-023-06682-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 09/27/2023] [Indexed: 11/03/2023]
Abstract
Chromatin accessibility is essential in regulating gene expression and cellular identity, and alterations in accessibility have been implicated in driving cancer initiation, progression and metastasis1-4. Although the genetic contributions to oncogenic transitions have been investigated, epigenetic drivers remain less understood. Here we constructed a pan-cancer epigenetic and transcriptomic atlas using single-nucleus chromatin accessibility data (using single-nucleus assay for transposase-accessible chromatin) from 225 samples and matched single-cell or single-nucleus RNA-sequencing expression data from 206 samples. With over 1 million cells from each platform analysed through the enrichment of accessible chromatin regions, transcription factor motifs and regulons, we identified epigenetic drivers associated with cancer transitions. Some epigenetic drivers appeared in multiple cancers (for example, regulatory regions of ABCC1 and VEGFA; GATA6 and FOX-family motifs), whereas others were cancer specific (for example, regulatory regions of FGF19, ASAP2 and EN1, and the PBX3 motif). Among epigenetically altered pathways, TP53, hypoxia and TNF signalling were linked to cancer initiation, whereas oestrogen response, epithelial-mesenchymal transition and apical junction were tied to metastatic transition. Furthermore, we revealed a marked correlation between enhancer accessibility and gene expression and uncovered cooperation between epigenetic and genetic drivers. This atlas provides a foundation for further investigation of epigenetic dynamics in cancer transitions.
Collapse
Affiliation(s)
- Nadezhda V Terekhanova
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Alla Karpova
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | | | - Siqi Chen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Yize Li
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Austin N Southard-Smith
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Michael D Iglesia
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Michael C Wendl
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Reyka G Jayasinghe
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Jingxian Liu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Song Cao
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Andrew Houston
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Xiuting Liu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Rita Jui-Hsien Lu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Andrew Shinkle
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Nataly Naser Al Deen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - John M Herndon
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Jacqueline Mudd
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Cong Ma
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Hirak Sarkar
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Kazuhito Sato
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Omar M Ibrahim
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Chia-Kuei Mo
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Sara E Chasnoff
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Eduard Porta-Pardo
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
- Barcelona Supercomputing Center, Barcelona, Spain
| | - Jason M Held
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Russell Pachynski
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Julie K Schwarz
- Department of Radiation Oncology, Washington University in St Louis, St Louis, MO, USA
| | - William E Gillanders
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Albert H Kim
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
- Department of Neurological Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Ravi Vij
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - John F DiPersio
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Sidharth V Puram
- Department of Otolaryngology-Head & Neck Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Katherine C Fuh
- Department of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, CA, USA
- Department of Obstetrics and Gynecology, Washington University in St Louis, St Louis, MO, USA
| | - David G DeNardo
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Ryan C Fields
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
| | - Feng Chen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
| | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
| | - Li Ding
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA.
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
- Department of Genetics, Washington University in St Louis, St Louis, MO, USA.
| |
Collapse
|
10
|
Chen S, Jiang W, Du Y, Yang M, Pan Y, Li H, Cui M. Single-cell analysis technologies for cancer research: from tumor-specific single cell discovery to cancer therapy. Front Genet 2023; 14:1276959. [PMID: 37900181 PMCID: PMC10602688 DOI: 10.3389/fgene.2023.1276959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Single-cell sequencing (SCS) technology is changing our understanding of cellular components, functions, and interactions across organisms, because of its inherent advantage of avoiding noise resulting from genotypic and phenotypic heterogeneity across numerous samples. By directly and individually measuring multiple molecular characteristics of thousands to millions of single cells, SCS technology can characterize multiple cell types and uncover the mechanisms of gene regulatory networks, the dynamics of transcription, and the functional state of proteomic profiling. In this context, we conducted systematic research on SCS techniques, including the fundamental concepts, procedural steps, and applications of scDNA, scRNA, scATAC, scCITE, and scSNARE methods, focusing on the unique clinical advantages of SCS, particularly in cancer therapy. We have explored challenging but critical areas such as circulating tumor cells (CTCs), lineage tracing, tumor heterogeneity, drug resistance, and tumor immunotherapy. Despite challenges in managing and analyzing the large amounts of data that result from SCS, this technique is expected to reveal new horizons in cancer research. This review aims to emphasize the key role of SCS in cancer research and promote the application of single-cell technologies to cancer therapy.
Collapse
Affiliation(s)
- Siyuan Chen
- Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Weibo Jiang
- Department of Orthopaedic, The Second Hospital of Jilin University, Changchun, China
| | - Yanhui Du
- Department of Orthopaedics, Jilin Province People’s Hospital, Changchun, China
| | - Manshi Yang
- Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Yihan Pan
- Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Huan Li
- Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Mengying Cui
- Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| |
Collapse
|
11
|
Du J, Gu XR, Yu XX, Cao YJ, Hou J. Essential procedures of single-cell RNA sequencing in multiple myeloma and its translational value. BLOOD SCIENCE 2023; 5:221-236. [PMID: 37941914 PMCID: PMC10629747 DOI: 10.1097/bs9.0000000000000172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/18/2023] [Indexed: 11/10/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm characterized by clonal proliferation of abnormal plasma cells. In many countries, it ranks as the second most prevalent malignant neoplasm of the hematopoietic system. Although treatment methods for MM have been continuously improved and the survival of patients has been dramatically prolonged, MM remains an incurable disease with a high probability of recurrence. As such, there are still many challenges to be addressed. One promising approach is single-cell RNA sequencing (scRNA-seq), which can elucidate the transcriptome heterogeneity of individual cells and reveal previously unknown cell types or states in complex tissues. In this review, we outlined the experimental workflow of scRNA-seq in MM, listed some commonly used scRNA-seq platforms and analytical tools. In addition, with the advent of scRNA-seq, many studies have made new progress in the key molecular mechanisms during MM clonal evolution, cell interactions and molecular regulation in the microenvironment, and drug resistance mechanisms in target therapy. We summarized the main findings and sequencing platforms for applying scRNA-seq to MM research and proposed broad directions for targeted therapies based on these findings.
Collapse
Affiliation(s)
- Jun Du
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiao-Ran Gu
- School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Xiao-Xiao Yu
- School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Yang-Jia Cao
- Department of Hematology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi 710000, China
| | - Jian Hou
- Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| |
Collapse
|
12
|
Samur MK, Szalat R, Munshi NC. Single-cell profiling in multiple myeloma: insights, problems, and promises. Blood 2023; 142:313-324. [PMID: 37196627 PMCID: PMC10485379 DOI: 10.1182/blood.2022017145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/05/2023] [Accepted: 05/11/2023] [Indexed: 05/19/2023] Open
Abstract
In a short time, single-cell platforms have become the norm in many fields of research, including multiple myeloma (MM). In fact, the large amount of cellular heterogeneity in MM makes single-cell platforms particularly attractive because bulk assessments can miss valuable information about cellular subpopulations and cell-to-cell interactions. The decreasing cost and increasing accessibility of single-cell platform, combined with breakthroughs in obtaining multiomics data for the same cell and innovative computational programs for analyzing data, have allowed single-cell studies to make important insights into MM pathogenesis; yet, there is still much to be done. In this review, we will first focus on the types of single-cell profiling and the considerations for designing a single-cell profiling experiment. Then, we will discuss what have learned from single-cell profiling about myeloma clonal evolution, transcriptional reprogramming, and drug resistance, and about the MM microenvironment during precursor and advanced disease.
Collapse
Affiliation(s)
- Mehmet Kemal Samur
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Raphael Szalat
- Department of Hematology and Medical Oncology, Boston University Medical Center, Boston, MA
| | - Nikhil C. Munshi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
- VA Boston Healthcare System, Boston, MA
| |
Collapse
|
13
|
Liu N, Jiang C, Yao X, Fang M, Qiao X, Zhu L, Yang Z, Gao X, Ji Y, Niu C, Cheng C, Qu K, Lin J. Single-cell landscape of primary central nervous system diffuse large B-cell lymphoma. Cell Discov 2023; 9:55. [PMID: 37308475 DOI: 10.1038/s41421-023-00559-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/29/2023] [Indexed: 06/14/2023] Open
Abstract
Understanding tumor heterogeneity and immune infiltrates within the tumor-immune microenvironment (TIME) is essential for the innovation of immunotherapies. Here, combining single-cell transcriptomics and chromatin accessibility sequencing, we profile the intratumor heterogeneity of malignant cells and immune properties of the TIME in primary central nervous system diffuse large B-cell lymphoma (PCNS DLBCL) patients. We demonstrate diverse malignant programs related to tumor-promoting pathways, cell cycle and B-cell immune response. By integrating data from independent systemic DLBCL and follicular lymphoma cohorts, we reveal a prosurvival program with aberrantly elevated RNA splicing activity that is uniquely associated with PCNS DLBCL. Moreover, a plasmablast-like program that recurs across PCNS/activated B-cell DLBCL predicts a worse prognosis. In addition, clonally expanded CD8 T cells in PCNS DLBCL undergo a transition from a pre-exhaustion-like state to exhaustion, and exhibit higher exhaustion signature scores than systemic DLBCL. Thus, our study sheds light on potential reasons for the poor prognosis of PCNS DLBCL patients, which will facilitate the development of targeted therapy.
Collapse
Affiliation(s)
- Nianping Liu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chen Jiang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China
| | - Xinfeng Yao
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Minghao Fang
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaolong Qiao
- Anhui University of Science and Technology, Huainan, Anhui, China
| | - Lin Zhu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Zongcheng Yang
- Department of Stomatology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Xuyuan Gao
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Ying Ji
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chaoshi Niu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Chuandong Cheng
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
| | - Kun Qu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, Hefei, Anhui, China.
| | - Jun Lin
- Department of Neurosurgery, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China.
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, Hefei, Anhui, China.
| |
Collapse
|
14
|
Chen M, Jiang J, Hou J. Single-cell technologies in multiple myeloma: new insights into disease pathogenesis and translational implications. Biomark Res 2023; 11:55. [PMID: 37259170 DOI: 10.1186/s40364-023-00502-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 05/12/2023] [Indexed: 06/02/2023] Open
Abstract
Multiple myeloma (MM) is a hematological malignancy characterized by clonal proliferation of plasma cells. Although therapeutic advances have been made to improve clinical outcomes and to prolong patients' survival in the past two decades, MM remains largely incurable. Single-cell sequencing (SCS) is a powerful method to dissect the cellular and molecular landscape at single-cell resolution, instead of providing averaged results. The application of single-cell technologies promises to address outstanding questions in myeloma biology and has revolutionized our understanding of the inter- and intra-tumor heterogeneity, tumor microenvironment, and mechanisms of therapeutic resistance in MM. In this review, we summarize the recently developed SCS methodologies and latest MM research progress achieved by single-cell profiling, including information regarding the cancer and immune cell landscapes, tumor heterogeneities, underlying mechanisms and biomarkers associated with therapeutic response and resistance. We also discuss future directions of applying transformative SCS approaches with contribution to clinical translation.
Collapse
Affiliation(s)
- Mengping Chen
- Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Jinxing Jiang
- Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Jian Hou
- Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
| |
Collapse
|
15
|
Ge W, Sun YC, Qiao T, Liu HX, He TR, Wang JJ, Chen CL, Cheng SF, Dyce PW, De Felici M, Shen W. Murine skin-derived multipotent papillary dermal fibroblast progenitors show germline potential in vitro. Stem Cell Res Ther 2023; 14:17. [PMID: 36737797 PMCID: PMC9898921 DOI: 10.1186/s13287-023-03243-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 01/18/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Many laboratories have described the in vitro isolation of multipotent cells with stem cell properties from the skin of various species termed skin-derived stem cells (SDSCs). However, the cellular origin of these cells and their capability to give rise, among various cell types, to male germ cells, remain largely unexplored. METHODS SDSCs were isolated from newborn mice skin, and then differentiated into primordial germ cell-like cells (PGCLCs) in vitro. Single-cell RNA sequencing (scRNA-seq) was then applied to dissect the cellular origin of SDSCs using cells isolated from newborn mouse skin and SDSC colonies. Based on an optimized culture strategy, we successfully generated spermatogonial stem cell-like cells (SSCLCs) in vitro. RESULTS Here, using scRNA-seq and analyzing the profile of 7543 single-cell transcriptomes from newborn mouse skin and SDSCs, we discovered that they mainly consist of multipotent papillary dermal fibroblast progenitors (pDFPs) residing in the dermal layer. Moreover, we found that epidermal growth factor (EGF) signaling is pivotal for the capability of these progenitors to proliferate and form large colonies in vitro. Finally, we optimized the protocol to efficiently generate PGCLCs from SDSCs. Furthermore, PGCLCs were induced into SSCLCs and these SSCLCs showed meiotic potential when cultured with testicular organoids. CONCLUSIONS Our findings here identify pDFPs as SDSCs derived from newborn skin and show for the first time that such precursors can be induced to generate cells of the male germline.
Collapse
Affiliation(s)
- Wei Ge
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Yuan-Chao Sun
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Tian Qiao
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Hai-Xia Liu
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Tao-Ran He
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Jun-Jie Wang
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Chun-Lei Chen
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Shun-Feng Cheng
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China
| | - Paul W Dyce
- Department of Animal Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Massimo De Felici
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Wei Shen
- College of Life Sciences, Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, Qingdao Agricultural University, Qingdao, 266109, China.
| |
Collapse
|
16
|
Chen M, Wan Y, Li X, Xiang J, Chen X, Jiang J, Han X, Zhong L, Xiao F, Liu J, Huang H, Li H, Liu J, Hou J. Dynamic single-cell RNA-seq analysis reveals distinct tumor program associated with microenvironmental remodeling and drug sensitivity in multiple myeloma. Cell Biosci 2023; 13:19. [PMID: 36717896 PMCID: PMC9887807 DOI: 10.1186/s13578-023-00971-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is a hematological malignancy characterized by clonal proliferation of malignant plasma cells. Despite extensive research, molecular mechanisms in MM that drive drug sensitivity and clinic outcome remain elusive. RESULTS Single-cell RNA sequencing was applied to study tumor heterogeneity and molecular dynamics in 10 MM individuals before and after 2 cycles of bortezomib-cyclophosphamide-dexamethasone (VCD) treatment, with 3 healthy volunteers as controls. We identified that unfolded protein response and metabolic-related program were decreased, whereas stress-associated and immune reactive programs were increased after 2 cycles of VCD treatment. Interestingly, low expression of the immune reactive program by tumor cells was associated with unfavorable drug response and poor survival in MM, which probably due to downregulation of MHC class I mediated antigen presentation and immune surveillance, and upregulation of markers related to immune escape. Furthermore, combined with immune cells profiling, we uncovered a link between tumor intrinsic immune reactive program and immunosuppressive phenotype in microenvironment, evidenced by exhausted states and expression of checkpoint molecules and suppressive genes in T cells, NK cells and monocytes. Notably, expression of YBX1 was associated with downregulation of immune activation signaling in myeloma and reduced immune cells infiltration, thereby contributed to poor prognosis. CONCLUSIONS We dissected the tumor and immune reprogramming in MM during targeted therapy at the single-cell resolution, and identified a tumor program that integrated tumoral signaling and changes in immune microenvironment, which provided insights into understanding drug sensitivity in MM.
Collapse
Affiliation(s)
- Mengping Chen
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Yike Wan
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xin Li
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jing Xiang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xiaotong Chen
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jinxing Jiang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Xiaofeng Han
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Lu Zhong
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Fei Xiao
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Jia Liu
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Honghui Huang
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| | - Hua Li
- grid.16821.3c0000 0004 0368 8293Bio-ID Center, Shanghai Jiao Tong University School of Biomedical Engineering, Shanghai, 200240 China
| | - Junling Liu
- grid.16821.3c0000 0004 0368 8293Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Jian Hou
- grid.16821.3c0000 0004 0368 8293Department of Hematology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China
| |
Collapse
|
17
|
Single-Cell RNA Sequencing for the Detection of Clonotypic V(D)J Rearrangements in Multiple Myeloma. Int J Mol Sci 2022; 23:ijms232415691. [PMID: 36555330 PMCID: PMC9779610 DOI: 10.3390/ijms232415691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Multiple myeloma (MM) has a highly heterogeneous genetic background, which complicates its molecular tracking over time. Nevertheless, each MM patient's malignant plasma cells (PCs) share unique V(D)J rearranged sequences at immunoglobulin loci, which represent ideal disease biomarkers. Because the tumor-specific V(D)J sequence is highly expressed in bulk RNA in MM patients, we wondered whether it can be identified by single-cell RNA sequencing (scRNA-seq). To this end we analyzed CD138+ cells purified from bone marrow aspirates of 19 samples with PC dyscrasias by both a standard method based on bulk DNA and by an implementation of the standard 10x Genomics protocol to detect expressed V(D)J sequences. A dominant clonotype was easily identified in each sample, accounting on average for 83.65% of V(D)J-rearranged cells. Compared with standard methods, scRNA-seq analysis proved highly concordant and even more effective in identifying clonal productive rearrangements, by-passing limitations related to the misannealing of consensus primers in hypermutated regions. We next validated its accuracy to track 5 clonal cells with absolute sensitivity in a virtual sample containing 3180 polyclonal cells. This shows that single-cell V(D)J analysis may be used to find rare clonal cells, laying the foundations for functional single-cell dissection of minimal residual disease.
Collapse
|
18
|
Chen S, Zhou S, Huang YE, Yuan M, Lei W, Chen J, Lin K, Jiang W. Estimating Metastatic Risk of Pancreatic Ductal Adenocarcinoma at Single-Cell Resolution. Int J Mol Sci 2022; 23:ijms232315020. [PMID: 36499343 PMCID: PMC9736800 DOI: 10.3390/ijms232315020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/26/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is characterized by intra-tumoral heterogeneity, and patients are always diagnosed after metastasis. Thus, finding out how to effectively estimate metastatic risk underlying PDAC is necessary. In this study, we proposed scMetR to evaluate the metastatic risk of tumor cells based on single-cell RNA sequencing (scRNA-seq) data. First, we identified diverse cell types, including tumor cells and other cell types. Next, we grouped tumor cells into three sub-populations according to scMetR score, including metastasis-featuring tumor cells (MFTC), transitional metastatic tumor cells (TransMTC), and conventional tumor cells (ConvTC). We identified metastatic signature genes (MSGs) through comparing MFTC and ConvTC. Functional enrichment analysis showed that up-regulated MSGs were enriched in multiple metastasis-associated pathways. We also found that patients with high expression of up-regulated MSGs had worse prognosis. Spatial mapping of MFTC showed that they are preferentially located in the cancer and duct epithelium region, which was enriched with the ductal cells' associated inflammation. Further, we inferred cell-cell interactions, and observed that interactions of the ADGRE5 signaling pathway, which is associated with metastasis, were increased in MFTC compared to other tumor sub-populations. Finally, we predicted 12 candidate drugs that had the potential to reverse expression of MSGs. Taken together, we have proposed scMetR to estimate metastatic risk in PDAC patients at single-cell resolution which might facilitate the dissection of tumor heterogeneity.
Collapse
|
19
|
Gandhi M, Bakhai V, Trivedi J, Mishra A, De Andrés F, LLerena A, Sharma R, Nair S. Current perspectives on interethnic variability in multiple myeloma: Single cell technology, population pharmacogenetics and molecular signal transduction. Transl Oncol 2022; 25:101532. [PMID: 36103755 PMCID: PMC9478452 DOI: 10.1016/j.tranon.2022.101532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/31/2022] [Accepted: 09/05/2022] [Indexed: 11/15/2022] Open
Abstract
This review discusses the emerging single cell technologies and applications in Multiple myeloma (MM), population pharmacogenetics of MM, resistance to chemotherapy, genetic determinants of drug-induced toxicity, molecular signal transduction. The role(s) of epigenetics and noncoding RNAs including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) that influence the risk and severity of MM are also discussed. It is understood that ethnic component acts as a driver of variable response to chemotherapy in different sub-populations globally. This review augments our understanding of genetic variability in ‘myelomagenesis’ and drug-induced toxicity, myeloma microenvironment at the molecular and cellular level, and developing precision medicine strategies to combat this malignancy. The emerging single cell technologies hold great promise for enhancing our understanding of MM tumor heterogeneity and clonal diversity.
Multiple myeloma (MM) is an aggressive cancer characterised by malignancy of the plasma cells and a rising global incidence. The gold standard for optimum response is aggressive chemotherapy followed by autologous stem cell transplantation (ASCT). However, majority of the patients are above 60 years and this presents the clinician with complications such as ineligibility for ASCT, frailty, drug-induced toxicity and differential/partial response to treatment. The latter is partly driven by heterogenous genotypes of the disease in different subpopulations. In this review, we discuss emerging single cell technologies and applications in MM, population pharmacogenetics of MM, resistance to chemotherapy, genetic determinants of drug-induced toxicity, molecular signal transduction, as well as the role(s) played by epigenetics and noncoding RNAs including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) that influence the risk and severity of the disease. Taken together, our discussions further our understanding of genetic variability in ‘myelomagenesis’ and drug-induced toxicity, augment our understanding of the myeloma microenvironment at the molecular and cellular level and provide a basis for developing precision medicine strategies to combat this malignancy.
Collapse
Affiliation(s)
- Manav Gandhi
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, 6900 Lake Nona Blvd., Orlando, FL 32827, USA
| | - Viral Bakhai
- Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS University, V. L. Mehta Road, Vile Parle (West), Mumbai 400056, India
| | - Jash Trivedi
- University of Mumbai, Santa Cruz, Mumbai 400055, India
| | - Adarsh Mishra
- Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS University, V. L. Mehta Road, Vile Parle (West), Mumbai 400056, India
| | - Fernando De Andrés
- INUBE Extremadura Biosanitary Research Institute, Badajoz, Spain; Faculty of Medicine, University of Extremadura, Badajoz, Spain; CICAB Clinical Research Center, Pharmacogenetics and Personalized Medicine Unit, Badajoz University Hospital, Extremadura Health Service, Badajoz, Spain
| | - Adrián LLerena
- INUBE Extremadura Biosanitary Research Institute, Badajoz, Spain; Faculty of Medicine, University of Extremadura, Badajoz, Spain; CICAB Clinical Research Center, Pharmacogenetics and Personalized Medicine Unit, Badajoz University Hospital, Extremadura Health Service, Badajoz, Spain
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
| | - Sujit Nair
- University of Mumbai, Santa Cruz, Mumbai 400055, India.
| |
Collapse
|
20
|
Cao S, Wang JR, Ji S, Yang P, Dai Y, Guo S, Montierth MD, Shen JP, Zhao X, Chen J, Lee JJ, Guerrero PA, Spetsieris N, Engedal N, Taavitsainen S, Yu K, Livingstone J, Bhandari V, Hubert SM, Daw NC, Futreal PA, Efstathiou E, Lim B, Viale A, Zhang J, Nykter M, Czerniak BA, Brown PH, Swanton C, Msaouel P, Maitra A, Kopetz S, Campbell P, Speed TP, Boutros PC, Zhu H, Urbanucci A, Demeulemeester J, Van Loo P, Wang W. Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression. Nat Biotechnol 2022; 40:1624-1633. [PMID: 35697807 PMCID: PMC9646498 DOI: 10.1038/s41587-022-01342-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 04/29/2022] [Indexed: 12/30/2022]
Abstract
Single-cell RNA sequencing studies have suggested that total mRNA content correlates with tumor phenotypes. Technical and analytical challenges, however, have so far impeded at-scale pan-cancer examination of total mRNA content. Here we present a method to quantify tumor-specific total mRNA expression (TmS) from bulk sequencing data, taking into account tumor transcript proportion, purity and ploidy, which are estimated through transcriptomic/genomic deconvolution. We estimate and validate TmS in 6,590 patient tumors across 15 cancer types, identifying significant inter-tumor variability. Across cancers, high TmS is associated with increased risk of disease progression and death. TmS is influenced by cancer-specific patterns of gene alteration and intra-tumor genetic heterogeneity as well as by pan-cancer trends in metabolic dysregulation. Taken together, our results indicate that measuring cell-type-specific total mRNA expression in tumor cells predicts tumor phenotypes and clinical outcomes.
Collapse
Grants
- U01 CA196403 NCI NIH HHS
- P30 CA016672 NCI NIH HHS
- U01 CA224044 NCI NIH HHS
- R01 CA268380 NCI NIH HHS
- Department of Health
- FC001169 Cancer Research UK
- C416/A21999 Cancer Research UK
- MR/L016311/1 Medical Research Council
- R01 CA231465 NCI NIH HHS
- U01 CA256780 NCI NIH HHS
- R01 CA183793 NCI NIH HHS
- FC001202 Medical Research Council
- U01 CA200468 NCI NIH HHS
- FC001202 Wellcome Trust
- R01 CA234629 NCI NIH HHS
- U01 CA214194 NCI NIH HHS
- FC001202 Cancer Research UK
- P50 CA221707 NCI NIH HHS
- C11496/A17786 Cancer Research UK
- L30 CA171000 NCI NIH HHS
- FC001169 Wellcome Trust
- FC001169 Medical Research Council
- U24 CA248265 NCI NIH HHS
- K22 CA234406 NCI NIH HHS
- P30 CA016042 NCI NIH HHS
- C11496/A30025 Cancer Research UK
- U24 CA224020 NCI NIH HHS
- Norman Jaffe Professorship in Pediatrics Endowment Fund, MD Anderson Colorectal Cancer Moon Shot Program, and NIH R01CA183793
- American Thyroid Association (American Thyroid Association, lnc.)
- Mark Foundation for Cancer Research ASPIRE award
- Human Cell Atlas Seed Network - Breast, Chan Zuckerberg Institute, MD Anderson Colorectal Cancer Moon Shot Program, NIH R01CA183793
- NIH R01CA239342
- Cancer Prevention and Research Institute of Texas as a CPRIT Scholar in Cancer Research and by National Institutes of Health (K22CA234406)
- NIH R01CA158113
- NIH (T32CA009599)
- MD Anderson Pancreatic Cancer Moon Shot Program, the Khalifa Bin Zayed Al-Nahyan Foundation, and the National Institutes of Health (NIH U01CA196403, U01CA200468, U24CA224020, P50CA221707)
- Norwegian Cancer Society (grant number 198016-2018)
- Norman Jaffe Professorship in Pediatrics Endowment Fund
- the Welch Foundation, MEI Pharma, Inc., Cancer Research United Kingdom (CRUK), Kadoorie Charitable Foundation, NIH/NCI (U01 CA224044-01A1, 1R01CA231465-01A1)
- Career Development Award by the American Society of Clinical Oncology, a Research Award by KCCure, the MD Anderson Khalifa Scholar Award, and the MD Anderson Physician-Scientist Award
- NIH/NCI under awards number P30CA016042, 1U01CA214194-01 and 1U24CA248265-01
- the Medical Research Council (grant number MR/L016311/1), the European Union’s Horizon 2020 research and innovation program (Marie Skłodowska-Curie Grant Agreement No. 703594-DECODE) and the Research Foundation – Flanders (FWO, Grant No. 12J6916N)
- the Medical Research Council (grant number MR/L016311/1), Winton Charitable Foundation
- NIH R01CA183793
Collapse
Affiliation(s)
- Shaolong Cao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer R Wang
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shuangxi Ji
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peng Yang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Statistics, Rice University, Houston, TX, USA
| | - Yaoyi Dai
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Baylor College of Medicine, Houston, TX, USA
| | - Shuai Guo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matthew D Montierth
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Baylor College of Medicine, Houston, TX, USA
| | - John Paul Shen
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiao Zhao
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jingxiao Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaewon James Lee
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paola A Guerrero
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas Spetsieris
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nikolai Engedal
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Sinja Taavitsainen
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - Kaixian Yu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Julie Livingstone
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Vinayak Bhandari
- Department of Medical Biophysics, University of Toronto, Toronto ON, Canada
| | - Shawna M Hubert
- Department of Thoracic Head Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Najat C Daw
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eleni Efstathiou
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bora Lim
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Viale
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic Head Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matti Nykter
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - Bogdan A Czerniak
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Powel H Brown
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Pavlos Msaouel
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anirban Maitra
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peter Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Terence P Speed
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VC, Australia
- School of Mathematics and Statistics, The University of Melbourne, Melbourne, VC, Australia
| | - Paul C Boutros
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Medical Biophysics, University of Toronto, Toronto ON, Canada
| | - Hongtu Zhu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alfonso Urbanucci
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Jonas Demeulemeester
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
21
|
Casado-Pelaez M, Bueno-Costa A, Esteller M. Single cell cancer epigenetics. Trends Cancer 2022; 8:820-838. [PMID: 35821003 DOI: 10.1016/j.trecan.2022.06.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/02/2022] [Accepted: 06/08/2022] [Indexed: 10/17/2022]
Abstract
Bulk sequencing methodologies have allowed us to make great progress in cancer research. Unfortunately, these techniques lack the resolution to fully unravel the epigenetic mechanisms that govern tumor heterogeneity. Consequently, many novel single cell-sequencing methodologies have been developed over the past decade, allowing us to explore the epigenetic components that regulate different aspects of cancer heterogeneity, namely: clonal heterogeneity, tumor microenvironment (TME), spatial organization, intratumoral differentiation programs, metastasis, and resistance mechanisms. In this review, we explore the different sequencing techniques that enable researchers to study different aspects of epigenetics (DNA methylation, chromatin accessibility, histone modifications, DNA-protein interactions, and chromatin 3D architecture) at the single cell level, their potential applications in cancer, and their current technical limitations.
Collapse
Affiliation(s)
- Marta Casado-Pelaez
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Alberto Bueno-Costa
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain; Centro de Investigacion Biomedica en Red Cancer (CIBERONC), 28029 Madrid, Spain; Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain.
| |
Collapse
|
22
|
Gutierrez C, Vilas CK, Wu CJ, Al'Khafaji AM. Functionalized Lineage Tracing Can Enable the Development of Homogenization-Based Therapeutic Strategies in Cancer. Front Immunol 2022; 13:859032. [PMID: 35603167 PMCID: PMC9120583 DOI: 10.3389/fimmu.2022.859032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
The therapeutic landscape across many cancers has dramatically improved since the introduction of potent targeted agents and immunotherapy. Nonetheless, success of these approaches is too often challenged by the emergence of therapeutic resistance, fueled by intratumoral heterogeneity and the immense evolutionary capacity inherent to cancers. To date, therapeutic strategies have attempted to outpace the evolutionary tempo of cancer but frequently fail, resulting in lack of tumor response and/or relapse. This realization motivates the development of novel therapeutic approaches which constrain evolutionary capacity by reducing the degree of intratumoral heterogeneity prior to treatment. Systematic development of such approaches first requires the ability to comprehensively characterize heterogeneous populations over the course of a perturbation, such as cancer treatment. Within this context, recent advances in functionalized lineage tracing approaches now afford the opportunity to efficiently measure multimodal features of clones within a tumor at single cell resolution, enabling the linkage of these features to clonal fitness over the course of tumor progression and treatment. Collectively, these measurements provide insights into the dynamic and heterogeneous nature of tumors and can thus guide the design of homogenization strategies which aim to funnel heterogeneous cancer cells into known, targetable phenotypic states. We anticipate the development of homogenization therapeutic strategies to better allow for cancer eradication and improved clinical outcomes.
Collapse
Affiliation(s)
- Catherine Gutierrez
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Caroline K Vilas
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, United States
- Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin, Austin, TX, United States
| | - Catherine J Wu
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | | |
Collapse
|
23
|
Waldschmidt JM, Yee AJ, Vijaykumar T, Pinto Rengifo RA, Frede J, Anand P, Bianchi G, Guo G, Potdar S, Seifer C, Nair MS, Kokkalis A, Kloeber JA, Shapiro S, Budano L, Mann M, Friedman R, Lipe B, Campagnaro E, O’Donnell EK, Zhang CZ, Laubach JP, Munshi NC, Richardson PG, Anderson KC, Raje NS, Knoechel B, Lohr JG. Cell-free DNA for the detection of emerging treatment failure in relapsed/ refractory multiple myeloma. Leukemia 2022; 36:1078-1087. [PMID: 35027656 PMCID: PMC8983453 DOI: 10.1038/s41375-021-01492-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/24/2021] [Accepted: 12/02/2021] [Indexed: 12/12/2022]
Abstract
Interrogation of cell-free DNA (cfDNA) represents an emerging approach to non-invasively estimate disease burden in multiple myeloma (MM). Here, we examined low-pass whole genome sequencing (LPWGS) of cfDNA for its predictive value in relapsed/ refractory MM (RRMM). We observed that cfDNA positivity, defined as ≥10% tumor fraction by LPWGS, was associated with significantly shorter progression-free survival (PFS) in an exploratory test cohort of 16 patients who were actively treated on diverse regimens. We prospectively determined the predictive value of cfDNA in 86 samples from 45 RRMM patients treated with elotuzumab, pomalidomide, bortezomib, and dexamethasone in a phase II clinical trial (NCT02718833). PFS in patients with tumor-positive and -negative cfDNA after two cycles of treatment was 1.6 and 17.6 months, respectively (HR 7.6, P < 0.0001). Multivariate hazard modelling confirmed cfDNA as independent risk factor (HR 96.6, P = 6.92e-05). While correlating with serum-free light chains and bone marrow, cfDNA additionally discriminated patients with poor PFS among those with the same response by IMWG criteria. In summary, detectability of MM-derived cfDNA, as a measure of substantial tumor burden with therapy, independently predicts poor PFS and may provide refinement for standard-of-care response parameters to identify patients with poor response to treatment earlier than is currently feasible.
Collapse
Affiliation(s)
- Johannes M. Waldschmidt
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrew J. Yee
- Harvard Medical School, Boston, MA, USA,Massachusetts General Hospital, Boston, MA, USA
| | - Tushara Vijaykumar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ricardo A. Pinto Rengifo
- Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Julia Frede
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Praveen Anand
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Giada Bianchi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Guangwu Guo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sayalee Potdar
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Charles Seifer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Monica S. Nair
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Antonis Kokkalis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jake A. Kloeber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Mason Mann
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Brea Lipe
- University of Rochester, Rochester, NY, USA
| | | | - Elizabeth K. O’Donnell
- Harvard Medical School, Boston, MA, USA,Massachusetts General Hospital, Boston, MA, USA
| | - Cheng-Zhong Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jacob P. Laubach
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Nikhil C. Munshi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Paul G. Richardson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Kenneth C. Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Noopur S. Raje
- Harvard Medical School, Boston, MA, USA,Massachusetts General Hospital, Boston, MA, USA
| | - Birgit Knoechel
- Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jens G. Lohr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| |
Collapse
|
24
|
He H, Li Z, Lu J, Qiang W, Jiang S, Xu Y, Fu W, Zhai X, Zhou L, Qian M, Du J. Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma. Clin Transl Med 2022; 12:e757. [PMID: 35297204 PMCID: PMC8926895 DOI: 10.1002/ctm2.757] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 12/19/2022] Open
Abstract
Background Multiple myeloma (MM) is a clinically and biologically heterogeneous plasma‐cell malignancy. Despite extensive research, disease heterogeneity and relapse remain a big challenge in MM therapeutics. We tried to dissect this disease and identify novel biomarkers for patient stratification and treatment outcome prediction by applying single‐cell technology. Methods We performed single‐cell RNA sequencing (scRNA‐seq) and variable‐diversity‐joining regions‐targeted sequencing (scVDJ‐seq) concurrently on bone marrow samples from a cohort of 18 patients with newly diagnosed MM (NDMM; n = 12) or refractory/relapsed MM (RRMM; n = 6). We analysed the malignant clonotypes using scVDJ‐seq data and conducted data integration and cell‐type annotation through the CCA algorithm based on gene expression profiling. Furthermore, we identified disease status‐specific genes and modules by comparison of NDMM and RRMM datasets and explored the findings in a larger MM cohort from the MMRF CoMMpass study. Results We found that all the myeloma cells in either diagnosed or relapsed samples were dominated by a major clone, with a few subclones in several samples (n = 5). Next, we investigated the universal transcriptional features of myeloma cells and identified eight meta‐programs correlated with this disease, especially meta‐programs 1 and 8 (M1 and M8), which were the most significant and related to cell cycle and stress response, respectively. Furthermore, we classified the malignant plasma cells into eight clusters and found that the cell numbers in clusters 2/6/7 were exclusively higher in relapsed samples. Besides, we identified several attractive candidates for biomarkers (e.g. SMAD1 and STMN1) associated with disease progression and relapse in our dataset and related to overall survival in the CoMMpass dataset. Conclusions Our data provide insights into the heterogeneity of MM as well as highlight the relevance of intra‐tumour heterogeneity and discover novel biomarkers that might be a potent therapy.
Collapse
Affiliation(s)
- Haiyan He
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Zifeng Li
- Institute of Pediatrics and Department of Hematology and Oncology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Jing Lu
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Wanting Qiang
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Sihan Jiang
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Yaochen Xu
- Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Weijun Fu
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Xiaowen Zhai
- Institute of Pediatrics and Department of Hematology and Oncology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Lin Zhou
- Department of Laboratory Medicine, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Maoxiang Qian
- Institute of Pediatrics and Department of Hematology and Oncology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Juan Du
- Department of Hematology, Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China
| |
Collapse
|
25
|
Dziadowicz SA, Wang L, Akhter H, Aesoph D, Sharma T, Adjeroh DA, Hazlehurst LA, Hu G. Bone Marrow Stroma-Induced Transcriptome and Regulome Signatures of Multiple Myeloma. Cancers (Basel) 2022; 14:927. [PMID: 35205675 PMCID: PMC8870223 DOI: 10.3390/cancers14040927] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/09/2022] [Accepted: 02/11/2022] [Indexed: 02/01/2023] Open
Abstract
Multiple myeloma (MM) is a hematological cancer with inevitable drug resistance. MM cells interacting with bone marrow stromal cells (BMSCs) undergo substantial changes in the transcriptome and develop de novo multi-drug resistance. As a critical component in transcriptional regulation, how the chromatin landscape is transformed in MM cells exposed to BMSCs and contributes to the transcriptional response to BMSCs remains elusive. We profiled the transcriptome and regulome for MM cells using a transwell coculture system with BMSCs. The transcriptome and regulome of MM cells from the upper transwell resembled MM cells that coexisted with BMSCs from the lower chamber but were distinctive to monoculture. BMSC-induced genes were enriched in the JAK2/STAT3 signaling pathway, unfolded protein stress, signatures of early plasma cells, and response to proteasome inhibitors. Genes with increasing accessibility at multiple regulatory sites were preferentially induced by BMSCs; these genes were enriched in functions linked to responses to drugs and unfavorable clinic outcomes. We proposed JUNB and ATF4::CEBPβ as candidate transcription factors (TFs) that modulate the BMSC-induced transformation of the regulome linked to the transcriptional response. Together, we characterized the BMSC-induced transcriptome and regulome signatures of MM cells to facilitate research on epigenetic mechanisms of BMSC-induced multi-drug resistance in MM.
Collapse
Affiliation(s)
- Sebastian A. Dziadowicz
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
| | - Lei Wang
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
| | - Halima Akhter
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Drake Aesoph
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Tulika Sharma
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
| | - Donald A. Adjeroh
- Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA;
| | - Lori A. Hazlehurst
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
- Department of Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morganton, WV 26506, USA
| | - Gangqing Hu
- Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26505, USA; (S.A.D.); (L.W.); (H.A.); (D.A.); (T.S.)
- WVU Cancer Institute, West Virginia University, Morgantown, WV 26506, USA;
| |
Collapse
|