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Yang C, Liu Y, Lv C, Xu M, Xu K, Shi J, Tan T, Zhou W, Lv D, Li Y, Xu J, Shao T. CanCellVar: A database for single-cell variants map in human cancer. Am J Hum Genet 2024:S0002-9297(24)00177-0. [PMID: 38838674 DOI: 10.1016/j.ajhg.2024.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 06/07/2024] Open
Abstract
Numerous variants, including both single-nucleotide variants (SNVs) in DNA and A>G RNA edits in mRNA as essential drivers of cellular proliferation and tumorigenesis, are commonly associated with cancer progression and growth. Thus, mining and summarizing single-cell variants will provide a refined and higher-resolution view of cancer and further contribute to precision medicine. Here, we established a database, CanCellVar, which aims to provide and visualize the comprehensive atlas of single-cell variants in tumor microenvironment. The current CanCellVar identified ∼3 million variants (∼1.4 million SNVs and ∼1.4 million A>G RNA edits) involved in 2,754,531 cells of 5 major cell types across 37 cancer types. CanCellVar provides the basic annotation information as well as cellular and molecular function properties of variants. In addition, the clinical relevance of variants can be obtained including tumor grade, treatment, metastasis, and others. Several flexible tools were also developed to aid retrieval and to analyze cell-cell interactions, gene expression, cell-development trajectories, regulation, and molecular structure affected by variants. Collectively, CanCellVar will serve as a valuable resource for investigating the functions and characteristics of single-cell variations and their roles in human tumor evolution and treatment.
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Affiliation(s)
- Changbo Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yujie Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Chongwen Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Mengjia Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Kang Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Jingyi Shi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Tingting Tan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Weiwei Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Dezhong Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yongsheng Li
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, Heilongjiang Province 150081, China
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
| | - Tingting Shao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
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Beigi YZ, Lanjanian H, Fayazi R, Salimi M, Hoseyni BHM, Noroozizadeh MH, Masoudi-Nejad A. Heterogeneity and molecular landscape of melanoma: implications for targeted therapy. MOLECULAR BIOMEDICINE 2024; 5:17. [PMID: 38724687 PMCID: PMC11082128 DOI: 10.1186/s43556-024-00182-2] [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: 11/19/2023] [Accepted: 04/08/2024] [Indexed: 05/12/2024] Open
Abstract
Uveal cancer (UM) offers a complex molecular landscape characterized by substantial heterogeneity, both on the genetic and epigenetic levels. This heterogeneity plays a critical position in shaping the behavior and response to therapy for this uncommon ocular malignancy. Targeted treatments with gene-specific therapeutic molecules may prove useful in overcoming radiation resistance, however, the diverse molecular makeups of UM call for a patient-specific approach in therapy procedures. We need to understand the intricate molecular landscape of UM to develop targeted treatments customized to each patient's specific genetic mutations. One of the promising approaches is using liquid biopsies, such as circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), for detecting and monitoring the disease at the early stages. These non-invasive methods can help us identify the most effective treatment strategies for each patient. Single-cellular is a brand-new analysis platform that gives treasured insights into diagnosis, prognosis, and remedy. The incorporation of this data with known clinical and genomics information will give a better understanding of the complicated molecular mechanisms that UM diseases exploit. In this review, we focused on the heterogeneity and molecular panorama of UM, and to achieve this goal, the authors conducted an exhaustive literature evaluation spanning 1998 to 2023, using keywords like "uveal melanoma, "heterogeneity". "Targeted therapies"," "CTCs," and "single-cellular analysis".
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Affiliation(s)
- Yasaman Zohrab Beigi
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | - Hossein Lanjanian
- Software Engineering Department, Engineering Faculty, Istanbul Topkapi University, Istanbul, Turkey
| | - Reyhane Fayazi
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | - Mahdieh Salimi
- Department of Medical Genetics, Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran
| | - Behnaz Haji Molla Hoseyni
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | | | - Ali Masoudi-Nejad
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
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3
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Smith NJ, Reddin I, Policelli P, Oh S, Zainal N, Howes E, Jenkins B, Tracy I, Edmond M, Sharpe B, Amendra D, Zheng K, Egawa N, Doorbar J, Rao A, Mahadevan S, Carpenter MA, Harris RS, Ali S, Hanley C, Buisson R, King E, Thomas GJ, Fenton TR. Differentiation signals induce APOBEC3A expression via GRHL3 in squamous epithelia and squamous cell carcinoma. RESEARCH SQUARE 2024:rs.3.rs-3997426. [PMID: 38496447 PMCID: PMC10942551 DOI: 10.21203/rs.3.rs-3997426/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Two APOBEC (apolipoprotein-B mRNA editing enzyme catalytic polypeptide-like) DNA cytosine deaminase enzymes (APOBEC3A and APOBEC3B) generate somatic mutations in cancer, driving tumour development and drug resistance. Here we used single cell RNA sequencing to study APOBEC3A and APOBEC3B expression in healthy and malignant mucosal epithelia, validating key observations with immunohistochemistry, spatial transcriptomics and functional experiments. Whereas APOBEC3B is expressed in keratinocytes entering mitosis, we show that APOBEC3A expression is confined largely to terminally differentiating cells and requires Grainyhead-like transcription factor 3 (GRHL3). Thus, in normal tissue, neither deaminase appears to be expressed at high levels during DNA replication, the cell cycle stage associated with APOBEC-mediated mutagenesis. In contrast, we show that in squamous cell carcinoma tissues, there is expansion of GRHL3 expression and activity to a subset of cells undergoing DNA replication and concomitant extension of APOBEC3A expression to proliferating cells. These findings indicate a mechanism for acquisition of APOBEC3A mutagenic activity in tumours.
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Affiliation(s)
- Nicola J. Smith
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
- School of Biosciences, University of Kent, UK
| | - Ian Reddin
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
- Bio-R Bioinformatics Research Facility, Faculty of Medicine, University of Southampton, UK
| | - Paige Policelli
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Sunwoo Oh
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Nur Zainal
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Emma Howes
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Benjamin Jenkins
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Ian Tracy
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Mark Edmond
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Benjamin Sharpe
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Damian Amendra
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Ke Zheng
- Department of Pathology, University of Cambridge, UK
| | | | - John Doorbar
- Department of Pathology, University of Cambridge, UK
| | - Anjali Rao
- Gilead Sciences, Research Department, 324 Lakeside Dr. Foster City, CA 94404, USA
| | - Sangeetha Mahadevan
- Gilead Sciences, Research Department, 324 Lakeside Dr. Foster City, CA 94404, USA
| | - Michael A. Carpenter
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Reuben S. Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Simak Ali
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Christopher Hanley
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Rémi Buisson
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Emma King
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
| | - Gareth J. Thomas
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
- Institute for Life Sciences, University of Southampton, UK
| | - Tim R. Fenton
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, UK
- Institute for Life Sciences, University of Southampton, UK
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Li JD, Chen Y, Jing SW, Wang LT, Zhou YH, Liu ZS, Song C, Li DZ, Wang HQ, Huang ZG, Dang YW, Chen G, Luo JY. Triosephosphate isomerase 1 may be a risk predictor in laryngeal squamous cell carcinoma: a multi-centered study integrating bulk RNA, single-cell RNA, and protein immunohistochemistry. Eur J Med Res 2023; 28:591. [PMID: 38102653 PMCID: PMC10724924 DOI: 10.1186/s40001-023-01568-8] [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: 12/08/2022] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Although great progress has been made in anti-cancer therapy, the prognosis of laryngeal squamous cell carcinoma (LSCC) patients remains unsatisfied. Quantities of studies demonstrate that glycolytic reprograming is essential for the progression of cancers, where triosephosphate isomerase 1 (TPI1) serves as a catalytic enzyme. However, the clinicopathological significance and potential biological functions of TPI1 underlying LSCC remains obscure. METHODS We collected in-house 82 LSCC tissue specimens and 56 non-tumor tissue specimens. Tissue microarrays (TMA) and immunohistochemical (IHC) experiments were performed. External LSCC microarrays and bulk RNA sequencing data were integrated to evaluate the expression of TPI1. We used a log-rank test and the CIBERSORT algorithm to assess the prognostic value of TPI1 and its association with the LSCC microenvironment. Malignant laryngeal epithelial cells and immune-stromal cells were identified using inferCNV and CellTypist. We conducted a comprehensive analysis to elucidate the molecular functions of TPI1 in LSCC tissue and single cells using Pearson correlation analysis, high dimensional weighted gene co-expression analysis, gene set enrichment analysis, and clustered regularly interspaced short palindromic repeats (CRISPR) screen. We explored intercellular communication patterns between LSCC single cells and immune-stromal cells and predicted several therapeutic agents targeting TPI1. RESULTS Based on the in-house TMA and IHC analysis, TPI1 protein was found to have a strong positive expression in the nucleus of LSCC cells but only weakly positive activity in the cytoplasm of normal laryngeal cells (p < 0.0001). Further confirmation of elevated TPI1 mRNA expression was obtained from external datasets, comparing 251 LSCC tissue samples to 136 non-LSCC tissue samples (standardized mean difference = 1.06). The upregulated TPI1 mRNA demonstrated a high discriminative ability between LSCC and non-LSCC tissue (area under the curve = 0.91; sensitivity = 0.87; specificity = 0.79), suggesting its potential as a predictive marker for poor prognosis (p = 0.037). Lower infiltration abundance was found for plasma cells, naïve B cells, monocytes, and neutrophils in TPI-high expression LSCC tissue. Glycolysis and cell cycle were significantly enriched pathways for both LSCC tissue and single cells, where heat shock protein family B member 1, TPI1, and enolase 1 occupied a central position. Four outgoing communication patterns and two incoming communication patterns were identified from the intercellular communication networks. TPI1 was predicted as an oncogene in LSCC, with CRISPR scores less than -1 across 71.43% of the LSCC cell lines. TPI1 was positively correlated with the half maximal inhibitory concentration of gemcitabine and cladribine. CONCLUSIONS TPI1 is dramatically overexpressed in LSCC than in normal tissue, and the high expression of TPI1 may promote LSCC deterioration through its metabolic and non-metabolic functions. This study contributes to advancing our knowledge of LSCC pathogenesis and may have implications for the development of targeted therapies in the future.
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Affiliation(s)
- Jian-Di Li
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Yi Chen
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Shu-Wen Jing
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Li-Ting Wang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Yu-Hong Zhou
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Zhi-Su Liu
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Chang Song
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Da-Zhi Li
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Hai-Quan Wang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Zhi-Guang Huang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Yi-Wu Dang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Gang Chen
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China
| | - Jia-Yuan Luo
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China.
- Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Shuangyong Road 6, Nanning, 530021, People's Republic of China.
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5
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Miraki Feriz A, Bahraini F, Khosrojerdi A, Azarkar S, Sajjadi SM, HosseiniGol E, Honardoost MA, Saghafi S, Silvestris N, Leone P, Safarpour H, Racanelli V. Deciphering the immune landscape of head and neck squamous cell carcinoma: A single-cell transcriptomic analysis of regulatory T cell responses to PD-1 blockade therapy. PLoS One 2023; 18:e0295863. [PMID: 38096229 PMCID: PMC10721039 DOI: 10.1371/journal.pone.0295863] [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] [Received: 07/11/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
Immunotherapy is changing the Head and Neck Squamous Cell Carcinoma (HNSCC) landscape and improving outcomes for patients with recurrent or metastatic HNSCC. A deeper understanding of the tumor microenvironment (TME) is required in light of the limitations of patients' responses to immunotherapy. Here, we aimed to examine how Nivolumab affects infiltrating Tregs in the HNSCC TME. We used single-cell RNA sequencing data from eight tissues isolated from four HNSCC donors before and after Nivolumab treatment. Interestingly, the study found that Treg counts and suppressive activity increased following Nivolumab therapy. We also discovered that changes in the CD44-SSP1 axis, NKG2C/D-HLA-E axis, and KRAS signaling may have contributed to the increase in Treg numbers. Furthermore, our study suggests that decreasing the activity of the KRAS and Notch signaling pathways, and increasing FOXP3, CTLA-4, LAG-3, and GZMA expression, may be mechanisms that enhance the killing and suppressive capacity of Tregs. Additionally, the result of pseudo-temporal analysis of the HNSCC TME indicated that after Nivolumab therapy, the expression of certain inhibitory immune checkpoints including TIGIT, ENTPD1, and CD276 and LY9, were decreased in Tregs, while LAG-3 showed an increased expression level. The study also found that Tregs had a dense communication network with cluster two, and that certain ligand-receptor pairs, including SPP1/CD44, HLA-E/KLRC2, HLA-E/KLRK1, ANXA1/FPR3, and CXCL9/FCGR2A, had notable changes after the therapy. These changes in gene expression and cell interactions may have implications for the role of Tregs in the TME and in response to Nivolumab therapy.
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Affiliation(s)
- Adib Miraki Feriz
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | - Fatemeh Bahraini
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | | | - Setareh Azarkar
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | | | - Edris HosseiniGol
- Department of Computer Engineering, University of Birjand, Birjand, Iran
| | - Mohammad Amin Honardoost
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Samira Saghafi
- Cellular and Molecular Research Center (CMRC), BUMS, Birjand, Iran
- Department of Internal Medicine, School of Medicine, BUMS, Birjand, Iran
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology “G. Barresi”, University of Messina, Messina, Italy
| | - Patrizia Leone
- Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari, Italy
| | | | - Vito Racanelli
- Centre for Medical Sciences (CISMed), University of Trento and Internal Medicine Division, Santa Chiara Hospital, Provincial Health Care Agency (APSS), Trento, Italy
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HELLER GERWIN, FUEREDER THORSTEN, GRANDITS ALEXANDERMICHAEL, WIESER ROTRAUD. New perspectives on biology, disease progression, and therapy response of head and neck cancer gained from single cell RNA sequencing and spatial transcriptomics. Oncol Res 2023; 32:1-17. [PMID: 38188682 PMCID: PMC10767240 DOI: 10.32604/or.2023.044774] [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: 08/08/2023] [Accepted: 10/12/2023] [Indexed: 01/09/2024] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is one of the most frequent cancers worldwide. The main risk factors are consumption of tobacco products and alcohol, as well as infection with human papilloma virus. Approved therapeutic options comprise surgery, radiation, chemotherapy, targeted therapy through epidermal growth factor receptor inhibition, and immunotherapy, but outcome has remained unsatisfactory due to recurrence rates of ~50% and the frequent occurrence of second primaries. The availability of the human genome sequence at the beginning of the millennium heralded the omics era, in which rapid technological progress has advanced our knowledge of the molecular biology of malignant diseases, including HNSCC, at an unprecedented pace. Initially, microarray-based methods, followed by approaches based on next-generation sequencing, were applied to study the genetics, epigenetics, and gene expression patterns of bulk tumors. More recently, the advent of single-cell RNA sequencing (scRNAseq) and spatial transcriptomics methods has facilitated the investigation of the heterogeneity between and within different cell populations in the tumor microenvironment (e.g., cancer cells, fibroblasts, immune cells, endothelial cells), led to the discovery of novel cell types, and advanced the discovery of cell-cell communication within tumors. This review provides an overview of scRNAseq, spatial transcriptomics, and the associated bioinformatics methods, and summarizes how their application has promoted our understanding of the emergence, composition, progression, and therapy responsiveness of, and intercellular signaling within, HNSCC.
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Affiliation(s)
- GERWIN HELLER
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, 1090, Austria
| | - THORSTEN FUEREDER
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, 1090, Austria
| | | | - ROTRAUD WIESER
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, 1090, Austria
- Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, 1090, Austria
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