1
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Song B, Liu D, Dai W, McMyn NF, Wang Q, Yang D, Krejci A, Vasilyev A, Untermoser N, Loregger A, Song D, Williams B, Rosen B, Cheng X, Chao L, Kale HT, Zhang H, Diao Y, Bürckstümmer T, Siliciano JD, Li JJ, Siliciano RF, Huangfu D, Li W. Decoding heterogeneous single-cell perturbation responses. Nat Cell Biol 2025; 27:493-504. [PMID: 40011559 PMCID: PMC11906366 DOI: 10.1038/s41556-025-01626-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 01/20/2025] [Indexed: 02/28/2025]
Abstract
Understanding how cells respond differently to perturbation is crucial in cell biology, but existing methods often fail to accurately quantify and interpret heterogeneous single-cell responses. Here we introduce the perturbation-response score (PS), a method to quantify diverse perturbation responses at a single-cell level. Applied to single-cell perturbation datasets such as Perturb-seq, PS outperforms existing methods in quantifying partial gene perturbations. PS further enables single-cell dosage analysis without needing to titrate perturbations, and identifies 'buffered' and 'sensitive' response patterns of essential genes, depending on whether their moderate perturbations lead to strong downstream effects. PS reveals differential cellular responses on perturbing key genes in contexts such as T cell stimulation, latent HIV-1 expression and pancreatic differentiation. Notably, we identified a previously unknown role for the coiled-coil domain containing 6 (CCDC6) in regulating liver and pancreatic cell fate decisions. PS provides a powerful method for dose-to-function analysis, offering deeper insights from single-cell perturbation data.
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Grants
- UM1 HG012654 NHGRI NIH HHS
- DBI-1846216, DMS-2113754 National Science Foundation (NSF)
- R01HL168174 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HG010753 U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
- R35GM140888 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- UM1HG012654, U01HG012051 U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
- U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- District of Columbia Center for AIDS (DC-CFAR) Research Transitioning Investigator Award (AI117970), pilot award for Children’s National Hospital and Virginia Tech (CNH-VT) Research Collaborations on AI, and startup support from the Center for Genetic Medicine Research at Children’s National Hospital.
- U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- Johnson and Johnson WiSTEM2D Award, Sloan Research Fellowship, UCLA David Geffen School of Medicine W.M. Keck Foundation Junior Faculty Award.
- Howard Hughes Medical Institute (HHMI)
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Affiliation(s)
- Bicna Song
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington, DC, USA
| | - Dingyu Liu
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Weiwei Dai
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Natalie F McMyn
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Qingyang Wang
- Department of Statistics and Data Science, University of California, Los Angeles, CA, USA
| | - Dapeng Yang
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | | | | | | | | | - Dongyuan Song
- Bioinformatics Interdepartmental PhD Program, University of California, Los Angeles, CA, USA
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA
| | - Breanna Williams
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Bess Rosen
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
- Weill Cornell Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Xiaolong Cheng
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington, DC, USA
| | - Lumen Chao
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington, DC, USA
| | - Hanuman T Kale
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Hao Zhang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
| | | | - Janet D Siliciano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jingyi Jessica Li
- Department of Statistics and Data Science, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental PhD Program, University of California, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, CA, USA
- Department of Biostatistics, University of California, Los Angeles, CA, USA
- Department of Computational Medicine, University of California, Los Angeles, CA, USA
| | - Robert F Siliciano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Danwei Huangfu
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Wei Li
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA.
- Department of Genomics and Precision Medicine, George Washington University, Washington, DC, USA.
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2
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Zhai Y, Liang X, Deng M. Myeloid cells meet CD8 + T cell exhaustion in cancer: What, why and how. Chin J Cancer Res 2024; 36:616-651. [PMID: 39802897 PMCID: PMC11724180 DOI: 10.21147/j.issn.1000-9604.2024.06.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 12/16/2024] [Indexed: 01/16/2025] Open
Abstract
Exhausted T cell (Tex) is a specific state of T cell dysfunction, in which these T cells gradually lose their effector function and change their phenotype during chronic antigen stimulation. The enrichment of exhausted CD8+ T cell (CD8+ Tex) in the tumor microenvironment is one of the important reasons leading to the poor efficacy of immunotherapy. Recent studies have reported many reasons leading to the CD8+ T cell exhaustion. In addition to cancer cells, myeloid cells can also contribute to T cell exhaustion via many ways. In this review, we discuss the history of the concept of exhaustion, CD8+ T cell dysfunction states, the heterogeneity, origin, and characteristics of CD8+ Tex. We then focus on the effects of myeloid cells on CD8+ Tex, including tumor-associated macrophages (TAMs), dendritic cells (DCs) and neutrophils. Finally, we systematically summarize current strategies and recent advancements in therapies reversing and CD8+ T cell exhaustion.
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Affiliation(s)
- Yijie Zhai
- School of Basic Medical Sciences, Health Science Center, Peking University, Beijing 100191, China
- State Key Laboratory of Molecular Oncology, Peking University International Cancer Institute, Health Science Center, Peking University, Beijing 100191, China
| | - Xiaoting Liang
- School of Basic Medical Sciences, Health Science Center, Peking University, Beijing 100191, China
- State Key Laboratory of Molecular Oncology, Peking University International Cancer Institute, Health Science Center, Peking University, Beijing 100191, China
| | - Mi Deng
- School of Basic Medical Sciences, Health Science Center, Peking University, Beijing 100191, China
- State Key Laboratory of Molecular Oncology, Peking University International Cancer Institute, Health Science Center, Peking University, Beijing 100191, China
- Peking University Cancer Hospital & Institute, Beijing 100142, China
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3
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Hu J, Liu X. Generation of CAR-T SCM: CAR-T with super clutch. Int Immunopharmacol 2024; 136:112379. [PMID: 38833844 DOI: 10.1016/j.intimp.2024.112379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/26/2024] [Accepted: 05/28/2024] [Indexed: 06/06/2024]
Abstract
CAR-T therapy has demonstrated effectiveness in hematological malignancies and is now striding into solid tumor areas. One of the main roadblocks of CAR-T therapy is T cell exhaustion normally aroused by T cell terminal differentiation due to persistent contact with antigen in vivo or in vitro manufacturing process. TSCM positions as the first, and pivotal step of naïve T cell differentiation to downstream memory and effector stages. Researchers highly seek to restrain CAR-T cells at the TSCM stage during manufacture as TSCM percentage in CAR-T products is strongly associated with better treatment response. We reviewed the recent strategies regarding CAR-TSCM generation from aspects of starting source, manufacturing process, CAR assembly, transcription factor and metabolism regulation, etc.
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Affiliation(s)
- Jinhui Hu
- Department of Laboratory Medicine, Gongli Hospital, No. 219, Miaopu Road, Pudong, Shanghai, 200135, China.
| | - Xiang Liu
- TriArm Therapeutics Inc, Building 5, Niudun Road, Pudong New District, Shanghai, 201203, China.
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4
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Pang L, Zhou F, Liu Y, Ali H, Khan F, Heimberger AB, Chen P. Epigenetic regulation of tumor immunity. J Clin Invest 2024; 134:e178540. [PMID: 39133578 PMCID: PMC11178542 DOI: 10.1172/jci178540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024] Open
Abstract
Although cancer has long been considered a genetic disease, increasing evidence shows that epigenetic aberrations play a crucial role in affecting tumor biology and therapeutic response. The dysregulated epigenome in cancer cells reprograms the immune landscape within the tumor microenvironment, thereby hindering antitumor immunity, promoting tumor progression, and inducing immunotherapy resistance. Targeting epigenetically mediated tumor-immune crosstalk is an emerging strategy to inhibit tumor progression and circumvent the limitations of current immunotherapies, including immune checkpoint inhibitors. In this Review, we discuss the mechanisms by which epigenetic aberrations regulate tumor-immune interactions and how epigenetically targeted therapies inhibit tumor progression and synergize with immunotherapy.
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5
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Song B, Liu D, Dai W, McMyn N, Wang Q, Yang D, Krejci A, Vasilyev A, Untermoser N, Loregger A, Song D, Williams B, Rosen B, Cheng X, Chao L, Kale HT, Zhang H, Diao Y, Bürckstümmer T, Siliciano JM, Li JJ, Siliciano R, Huangfu D, Li W. Decoding Heterogenous Single-cell Perturbation Responses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.30.564796. [PMID: 37961332 PMCID: PMC10635009 DOI: 10.1101/2023.10.30.564796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Understanding diverse responses of individual cells to the same perturbation is central to many biological and biomedical problems. Current methods, however, do not precisely quantify the strength of perturbation responses and, more importantly, reveal new biological insights from heterogeneity in responses. Here we introduce the perturbation-response score (PS), based on constrained quadratic optimization, to quantify diverse perturbation responses at a single-cell level. Applied to single-cell transcriptomes of large-scale genetic perturbation datasets (e.g., Perturb-seq), PS outperforms existing methods for quantifying partial gene perturbation responses. In addition, PS presents two major advances. First, PS enables large-scale, single-cell-resolution dosage analysis of perturbation, without the need to titrate perturbation strength. By analyzing the dose-response patterns of over 2,000 essential genes in Perturb-seq, we identify two distinct patterns, depending on whether a moderate reduction in their expression induces strong downstream expression alterations. Second, PS identifies intrinsic and extrinsic biological determinants of perturbation responses. We demonstrate the application of PS in contexts such as T cell stimulation, latent HIV-1 expression, and pancreatic cell differentiation. Notably, PS unveiled a previously unrecognized, cell-type-specific role of coiled-coil domain containing 6 (CCDC6) in guiding liver and pancreatic lineage decisions, where CCDC6 knockouts drive the endoderm cell differentiation towards liver lineage, rather than pancreatic lineage. The PS approach provides an innovative method for dose-to-function analysis and will enable new biological discoveries from single-cell perturbation datasets.
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Affiliation(s)
- Bicna Song
- Center for Genetic Medicine Research, Children’s National Hospital, Washington DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington DC, USA
| | - Dingyu Liu
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Weiwei Dai
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Natalie McMyn
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Qingyang Wang
- Department of Statistics and Data Science, University of California, Los Angeles, CA, USA
| | - Dapeng Yang
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Adam Krejci
- Myllia Biotechnology GmbH. Am Kanal 27, 1110 Vienna Austria
| | | | | | - Anke Loregger
- Myllia Biotechnology GmbH. Am Kanal 27, 1110 Vienna Austria
| | - Dongyuan Song
- Bioinformatics Interdepartmental Ph.D. Program, University of California, Los Angeles, CA, USA
| | - Breanna Williams
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Bess Rosen
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
- Weill Cornell Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Xiaolong Cheng
- Center for Genetic Medicine Research, Children’s National Hospital, Washington DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington DC, USA
| | - Lumen Chao
- Center for Genetic Medicine Research, Children’s National Hospital, Washington DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington DC, USA
| | - Hanuman T. Kale
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Hao Zhang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA
| | | | - Jenet M. Siliciano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jingyi Jessica Li
- Department of Statistics and Data Science, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Ph.D. Program, University of California, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, CA, USA
- Department of Biostatistics, University of California, Los Angeles, CA, USA
- Department of Computational Medicine, University of California, Los Angeles, CA, USA
| | - Robert Siliciano
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Danwei Huangfu
- Developmental Biology Program, Sloan Kettering Institute, New York City, NY, USA
| | - Wei Li
- Center for Genetic Medicine Research, Children’s National Hospital, Washington DC, USA
- Department of Genomics and Precision Medicine, George Washington University, Washington DC, USA
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6
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Pan H, Cheng X, Rodríguez PFG, Zhang X, Chung I, Jin VX, Li W, Hu Y, Li R. An essential signaling function of cytoplasmic NELFB is independent of RNA polymerase II pausing. J Biol Chem 2023; 299:105259. [PMID: 37717699 PMCID: PMC10591015 DOI: 10.1016/j.jbc.2023.105259] [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: 08/10/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/19/2023] Open
Abstract
The four-subunit negative elongation factor (NELF) complex mediates RNA polymerase II (Pol II) pausing at promoter-proximal regions. Ablation of individual NELF subunits destabilizes the NELF complex and causes cell lethality, leading to the prevailing concept that NELF-mediated Pol II pausing is essential for cell proliferation. Using separation-of-function mutations, we show here that NELFB function in cell proliferation can be uncoupled from that in Pol II pausing. NELFB mutants sequestered in the cytoplasm and deprived of NELF nuclear function still support cell proliferation and part of the NELFB-dependent transcriptome. Mechanistically, cytoplasmic NELFB physically and functionally interacts with prosurvival signaling kinases, most notably phosphatidylinositol-3-kinase/AKT. Ectopic expression of membrane-tethered phosphatidylinositol-3-kinase/AKT partially bypasses the role of NELFB in cell proliferation, but not Pol II occupancy. Together, these data expand the current understanding of the physiological impact of Pol II pausing and underscore the multiplicity of the biological functions of individual NELF subunits.
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Affiliation(s)
- Haihui Pan
- Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA.
| | - Xiaolong Cheng
- Department of Genomics & Precision Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA; Center for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA
| | - Pedro Felipe Gardeazábal Rodríguez
- Department of Anatomy & Cell Biology, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA
| | - Xiaowen Zhang
- Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA
| | - Inhee Chung
- Department of Anatomy & Cell Biology, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA
| | - Victor X Jin
- Institute of Health Equity and Cancer Center, The Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Wei Li
- Department of Genomics & Precision Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA; Center for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA
| | - Yanfen Hu
- Department of Anatomy & Cell Biology, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA
| | - Rong Li
- Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, District of Columbia, USA.
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7
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Guan Q, Han M, Guo Q, Yan F, Wang M, Ning Q, Xi D. Strategies to reinvigorate exhausted CD8 + T cells in tumor microenvironment. Front Immunol 2023; 14:1204363. [PMID: 37398660 PMCID: PMC10311918 DOI: 10.3389/fimmu.2023.1204363] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
CD8+ T cell exhaustion is a stable dysfunctional state driven by chronic antigen stimulation in the tumor microenvironment (TME). Differentiation of exhausted CD8+ T cells (CD8+ TEXs) is accompanied by extensive transcriptional, epigenetic and metabolic reprogramming. CD8+ TEXs are mainly characterized by impaired proliferative and cytotoxic capacity as well as the increased expression of multiple co-inhibitory receptors. Preclinical tumor studies and clinical cohorts have demonstrated that T cell exhaustion is firmly associated with poor clinical outcomes in a variety of cancers. More importantly, CD8+ TEXs are regarded as the main responder to immune checkpoint blockade (ICB). However, to date, a large number of cancer patients have failed to achieve durable responses after ICB. Therefore, improving CD8+ TEXs may be a breakthrough point to reverse the current dilemma of cancer immunotherapy and eliminate cancers. Strategies to reinvigorate CD8+ TEXs in TME mainly include ICB, transcription factor-based therapy, epigenetic therapy, metabolism-based therapy and cytokine therapy, which target on different aspects of exhaustion progression. Each of them has its advantages and application scope. In this review, we mainly focus on the major advances of current strategies to reinvigorate CD8+ TEXs in TME. We summarize their efficacy and mechanisms, identify the promising monotherapy and combined therapy and propose suggestions to enhance the treatment efficacy to significantly boost anti-tumor immunity and achieve better clinical outcomes.
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8
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Zhang J, Hu Z, Chung HH, Tian Y, Lau KW, Ser Z, Lim YT, Sobota RM, Leong HF, Chen BJ, Yeo CJ, Tan SYX, Kang J, Tan DEK, Sou IF, McClurg UL, Lakshmanan M, Vaiyapuri TS, Raju A, Wong ESM, Tergaonkar V, Rajarethinam R, Pathak E, Tam WL, Tan EY, Tee WW. Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis. Nat Commun 2023; 14:2439. [PMID: 37117180 PMCID: PMC10147683 DOI: 10.1038/s41467-023-38132-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/17/2023] [Indexed: 04/30/2023] Open
Abstract
Cancer cells undergo transcriptional reprogramming to drive tumor progression and metastasis. Using cancer cell lines and patient-derived tumor organoids, we demonstrate that loss of the negative elongation factor (NELF) complex inhibits breast cancer development through downregulating epithelial-mesenchymal transition (EMT) and stemness-associated genes. Quantitative multiplexed Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins (qPLEX-RIME) further reveals a significant rewiring of NELF-E-associated chromatin partners as a function of EMT and a co-option of NELF-E with the key EMT transcription factor SLUG. Accordingly, loss of NELF-E leads to impaired SLUG binding on chromatin. Through integrative transcriptomic and genomic analyses, we identify the histone acetyltransferase, KAT2B, as a key functional target of NELF-E-SLUG. Genetic and pharmacological inactivation of KAT2B ameliorate the expression of EMT markers, phenocopying NELF ablation. Elevated expression of NELF-E and KAT2B is associated with poorer prognosis in breast cancer patients, highlighting the clinical relevance of our findings. Taken together, we uncover a crucial role of the NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis.
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Affiliation(s)
- Jieqiong Zhang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore
| | - Zhenhua Hu
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwa Hwa Chung
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yun Tian
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, 210004, Nanjing, People's Republic of China
| | - Kah Weng Lau
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
| | - Zheng Ser
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yan Ting Lim
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Radoslaw M Sobota
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwei Fen Leong
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Benjamin Jieming Chen
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Clarisse Jingyi Yeo
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Shawn Ying Xuan Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Jian Kang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Dennis Eng Kiat Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Ieng Fong Sou
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Urszula Lucja McClurg
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Thamil Selvan Vaiyapuri
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Anandhkumar Raju
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Esther Sook Miin Wong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Vinay Tergaonkar
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
| | - Ravisankar Rajarethinam
- Advanced Molecular Pathology Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Elina Pathak
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
| | - Wai Leong Tam
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Ern Yu Tan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Republic of Singapore
| | - Wee-Wei Tee
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore.
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore.
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore.
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He CM, Zhang XD, Zhu SX, Zheng JJ, Wang YM, Wang Q, Yin H, Fu YJ, Xue S, Tang J, Zhao XJ. Integrative pan-cancer analysis and clinical characterization of the N7-methylguanosine (m7G) RNA modification regulators in human cancers. Front Genet 2022; 13:998147. [PMID: 36226166 PMCID: PMC9549978 DOI: 10.3389/fgene.2022.998147] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background: RNA modification is one of the epigenetic mechanisms that regulates post-transcriptional gene expression, and abnormal RNA modifications have been reported to play important roles in tumorigenesis. N7-methylguanosine (m7G) is an essential modification at the 5′ cap of human mRNA. However, a systematic and pan-cancer analysis of the clinical relevance of m7G related regulatory genes is still lacking.Methods: We used univariate Cox model and Kaplan-Meier analysis to generate the forest plot of OS, PFI, DSS and identified the correlation between the altered expression of m7G regulators and patient survival in 33 cancer types from the TCGA and GTEx databases. Then, the “estimate” R-package, ssGSEA and CIBERSORT were used to depict the pan-cancer immune landscape. Through Spearman’s correlation test, we analyzed the correlation between m7G regulators and the tumor microenvironment (TME), immune subtype, and drug sensitivity of the tumors, which was further validated in NSCLC. We also assessed the changes in the expression of m7G related regulatory genes in NSCLC with regards to the genetic and transcriptional aspects and evaluated the correlation of METTL1 and WDR4 expression with TMB, MSI and immunotherapy in pan-cancer.Results: High expression of most of the m7G regulators was significantly associated with worse prognosis. Correlation analyses revealed that the expression of majority of the m7G regulators was correlated with tumor immune infiltration and tumor stem cell scores. Drug sensitivity analysis showed that the expression of CYFP1,2 was closely related to drug sensitivity for various anticancer agents (p < 0.001). Analysis of the pan-cancer immune subtype revealed significant differences in the expression of m7G regulators between different immune subtypes (p < 0.001). Additionally, the types and proportions of mutations in METTL1 and WDR4 and their relevance to immunotherapy were further described.Conclusion: Our study is the first to evaluate the correlation between the altered expression of m7G regulators and patient survival, the degree of immune infiltration, TME and drug sensitivity in pan-cancer datasets.
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Affiliation(s)
- Chun-Ming He
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xin-Di Zhang
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Song-Xin Zhu
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jia-Jie Zheng
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Ming Wang
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qing Wang
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hang Yin
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Jie Fu
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Song Xue
- Department of Cardiovascular Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian Tang
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- *Correspondence: Jian Tang, ; Xiao-Jing Zhao,
| | - Xiao-Jing Zhao
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- *Correspondence: Jian Tang, ; Xiao-Jing Zhao,
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Chen M, Nie Z, Gao Y, Cao H, Zheng L, Guo N, Peng Y, Zhang S. m7G regulator-mediated molecular subtypes and tumor microenvironment in kidney renal clear cell carcinoma. Front Pharmacol 2022; 13:900006. [PMID: 36147333 PMCID: PMC9486008 DOI: 10.3389/fphar.2022.900006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background: RNA methylation modification plays an important role in immune regulation. m7G RNA methylation is an emerging research hotspot in the RNA methylation field. However, its role in the tumor immune microenvironment of kidney renal clear cell carcinoma (KIRC) is still unclear. Methods: We analyzed the expression profiles of 29 m7G regulators in KIRC, integrated multiple datasets to identify a novel m7G regulator-mediated molecular subtype, and developed the m7G score. We evaluated the immune tumor microenvironments in m7G clusters and analyzed the correlation of the m7G score with immune cells and drug sensitivity. We tested the predictive power of the m7G score for prognosis of patients with KIRC and verified the predictive accuracy of the m7G score by using the GSE40912 and E-MTAB-1980 datasets. The genes used to develop the m7G score were verified by qRT-PCR. Finally, we experimentally analyzed the effects of WDR4 knockdown on KIRC proliferation, migration, invasion, and drug sensitivity. Results: We identified three m7G clusters. The expression of m7G regulators was higher in cluster C than in other clusters. m7G cluster C was related to immune activation, low tumor purity, good prognosis, and low m7G score. Cluster B was related to drug metabolism, high tumor purity, poor survival, and high m7G score. Cluster A was related to purine metabolism. The m7G score can well-predict the prognosis of patients with KIRC, and its prediction accuracy based on the m7G score nomogram was very high. Patients with high m7G scores were more sensitive to rapamycin, gefitinib, sunitinib, and vinblastine than other patients. Knocking down WDR4 can inhibit the proliferation, migration, and invasion of 786-0 and Caki-1 cells and increase sensitivity to sorafenib and sunitinib. Conclusion: We proposed a novel molecular subtype related to m7G modification and revealed the immune cell infiltration characteristics of different subtypes. The developed m7G score can well-predict the prognosis of patients with KIRC, and our research provides a basis for personalized treatment of patients with KIRC.
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