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Tosi A, Lorenzi M, Del Bianco P, Roma A, Pavan A, Scapinello A, Resi MV, Bonanno L, Frega S, Calabrese F, Guarneri V, Rosato A, Pasello G. Extensive-stage small-cell lung cancer in patients receiving atezolizumab plus carboplatin-etoposide: stratification of outcome based on a composite score that combines gene expression profiling and immune characterization of microenvironment. J Immunother Cancer 2024; 12:e008974. [PMID: 38955418 DOI: 10.1136/jitc-2024-008974] [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] [Accepted: 06/13/2024] [Indexed: 07/04/2024] Open
Abstract
PURPOSE Small-cell lung cancer (SCLC) is an aggressive disease with a dismal prognosis. The addition of immune checkpoints inhibitors to standard platinum-based chemotherapy in first-line setting achieves a durable benefit only in a patient subgroup. Thus, the identification of predictive biomarkers is an urgent unmet medical need. EXPERIMENTAL DESIGN Tumor samples from naive extensive-stage (ES) SCLC patients receiving atezolizumab plus carboplatin-etoposide were analyzed by gene expression profiling and two 9-color multiplex immunofluorescence panels, to characterize the immune infiltrate and SCLC subtypes. Associations of tissue biomarkers with time-to-treatment failure (TTF), progression-free survival (PFS) and overall survival (OS), were assessed. RESULTS 42 patients were included. Higher expression of exhausted CD8-related genes was independently associated with a longer TTF and PFS while increased density of B lymphocytes correlated with longer TTF and OS. Higher percentage of M2-like macrophages close to tumor cells and of CD8+T cells close to CD4+T lymphocytes correlated with increased risk of TF and longer survival, respectively. A lower risk of TF, disease progression and death was associated with a higher density of ASCL1+tumor cells while the expression of POU2F3 correlated with a shorter survival. A composite score combining the expression of exhausted CD8-related genes, B lymphocyte density, ASCL1 tumor expression and quantification of CD163+macrophages close to tumor cells, was able to stratify patients into high-risk and low-risk groups. CONCLUSIONS In conclusion, we identified tissue biomarkers and a combined score that can predict a higher benefit from chemoimmunotherapy in ES-SCLC patients.
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Affiliation(s)
- Anna Tosi
- Immunology and Molecular Oncology Diagnostics, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Martina Lorenzi
- Department of Medical Oncology, Santa Chiara Hospital, Trento, Italy
| | - Paola Del Bianco
- Clinical Trials and Biostatistics, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Anna Roma
- Medical Oncology 3, Istituto Oncologico Veneto IOV-IRCCS, Castelfranco Veneto, Italy
| | - Alberto Pavan
- Department of Medical Oncology, AULSS 3 Serenissima, Venezia, Italy
| | | | - Maria Vittoria Resi
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Laura Bonanno
- Medical Oncology 2, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Stefano Frega
- Medical Oncology 2, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Fiorella Calabrese
- Department of CardioThoracic Vascular Sciences and Public Health, Università degli Studi di Padova, Padova, Italy
| | - Valentina Guarneri
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
- Medical Oncology 2, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
| | - Antonio Rosato
- Immunology and Molecular Oncology Diagnostics, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Giulia Pasello
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
- Medical Oncology 2, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy
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2
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Pan B, Yan S, Yuan L, Xiang H, Ju M, Xu S, Jia W, Li J, Zhao Q, Zheng M. Multiomics sequencing and immune microenvironment characteristics define three subtypes of small cell neuroendocrine carcinoma of the cervix. J Pathol 2024; 263:372-385. [PMID: 38721894 DOI: 10.1002/path.6290] [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: 10/10/2023] [Revised: 02/23/2024] [Accepted: 04/03/2024] [Indexed: 06/12/2024]
Abstract
Small cell cervical carcinoma (SCCC) is the most common neuroendocrine tumor in the female genital tract, with an unfavorable prognosis and lacking an evidence-based therapeutic approach. Until now, the distinct subtypes and immune characteristics of SCCC combined with genome and transcriptome have not been described. We performed genomic (n = 18), HPV integration (n = 18), and transcriptomic sequencing (n = 19) of SCCC samples. We assessed differences in immune characteristics between SCCC and conventional cervical cancer, and other small cell neuroendocrine carcinomas, through bioinformatics analysis and immunohistochemical assays. We stratified SCCC patients through non-negative matrix factorization and described the characteristics of these distinct types. We further validated it using multiplex immunofluorescence (n = 77) and investigated its clinical prognostic effect. We confirmed a high frequency of PIK3CA and TP53 alterations and HPV18 integrations in SCCC. SCCC and other small cell carcinoma had similar expression signatures and immune cell infiltration patterns. Comparing patients with SCCC to those with conventional cervical cancer, the former presented immune excluded or 'desert' infiltration. The number of CD8+ cells in the invasion margin of SCCC patients predicted favorable clinical outcomes. We identified three transcriptome subtypes: an inflamed phenotype with high-level expression of genes related to the MHC-II complex (CD74) and IFN-α/β (SCCC-I), and two neuroendocrine subtypes with high-level expression of ASCL1 or NEUROD1, respectively. Combined with multiple technologies, we found that the neuroendocrine groups had more TP53 mutations and SCCC-I had more PIK3CA mutations. Multiplex immunofluorescence validated these subtypes and SCCC-I was an independent prognostic factor of overall survival. These results provide insights into SCCC tumor heterogeneity and potential therapies. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Baoyue Pan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Shumei Yan
- Department of Pathology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Linjing Yuan
- Department of Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Huiling Xiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Mingxiu Ju
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Shijie Xu
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Weihua Jia
- Biobank of Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Jundong Li
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Qi Zhao
- Department of Experimental Research, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Min Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
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3
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Xie J, Yang A, Liu Q, Deng X, Lv G, Ou X, Zheng S, Situ MY, Yu Y, Liang JY, Zou Y, Tang H, Zhao Z, Lin F, Liu W, Xiao W. Single-cell RNA sequencing elucidated the landscape of breast cancer brain metastases and identified ILF2 as a potential therapeutic target. Cell Prolif 2024:e13697. [PMID: 38943472 DOI: 10.1111/cpr.13697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/13/2024] [Accepted: 06/07/2024] [Indexed: 07/01/2024] Open
Abstract
Distant metastasis remains the primary cause of morbidity in patients with breast cancer. Hence, the development of more efficacious strategies and the exploration of potential targets for patients with metastatic breast cancer are urgently needed. The data of six patients with breast cancer brain metastases (BCBrM) from two centres were collected, and a comprehensive landscape of the entire tumour ecosystem was generated through the utilisation of single-cell RNA sequencing. We utilised the Monocle2 and CellChat algorithms to investigate the interrelationships among each subcluster. In addition, multiple signatures were collected to evaluate key components of the subclusters through multi-omics methodologies. Finally, we elucidated common expression programs of malignant cells, and experiments were conducted in vitro and in vivo to determine the functions of interleukin enhancer-binding factor 2 (ILF2), which is a key gene in the metastasis module, in BCBrM progression. We found that subclusters in each major cell type exhibited diverse characteristics. Besides, our study indicated that ILF2 was specifically associated with BCBrM, and experimental validations further demonstrated that ILF2 deficiency hindered BCBrM progression. Our study offers novel perspectives on the heterogeneity of BCBrM and suggests that ILF2 could serve as a promising biomarker or therapeutic target for BCBrM.
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Affiliation(s)
- Jindong Xie
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Anli Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qianwen Liu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xinpei Deng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guangzhao Lv
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xueqi Ou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shaoquan Zheng
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Min-Yi Situ
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yang Yu
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jie-Ying Liang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yutian Zou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hailin Tang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zijin Zhao
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fuhua Lin
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei Liu
- Department of Breast, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, Guangdong, China
| | - Weikai Xiao
- Department of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
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4
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Zvirblyte J, Nainys J, Juzenas S, Goda K, Kubiliute R, Dasevicius D, Kincius M, Ulys A, Jarmalaite S, Mazutis L. Single-cell transcriptional profiling of clear cell renal cell carcinoma reveals a tumor-associated endothelial tip cell phenotype. Commun Biol 2024; 7:780. [PMID: 38942917 PMCID: PMC11213875 DOI: 10.1038/s42003-024-06478-x] [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: 09/25/2023] [Accepted: 06/21/2024] [Indexed: 06/30/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of renal cancer, accounting for over 75% of cases. The asymptomatic nature of the disease contributes to late-stage diagnoses and poor survival. Highly vascularized and immune infiltrated microenvironment are prominent features of ccRCC, yet the interplay between vasculature and immune cells, disease progression and response to therapy remains poorly understood. Using droplet-based single-cell RNA sequencing we profile 50,236 transcriptomes from paired tumor and healthy adjacent kidney tissues. Our analysis reveals significant heterogeneity and inter-patient variability of the tumor microenvironment. Notably, we discover a previously uncharacterized vasculature subpopulation associated with epithelial-mesenchymal transition. The cell-cell communication analysis reveals multiple modes of immunosuppressive interactions within the tumor microenvironment, including clinically relevant interactions between tumor vasculature and stromal cells with immune cells. The upregulation of the genes involved in these interactions is associated with worse survival in the TCGA KIRC cohort. Our findings demonstrate the role of tumor vasculature and stromal cell populations in shaping the ccRCC microenvironment and uncover a subpopulation of cells within the tumor vasculature that is associated with an angiogenic phenotype.
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Affiliation(s)
- Justina Zvirblyte
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania
| | - Juozas Nainys
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania
- Droplet Genomics, Vilnius, 10257, Lithuania
| | - Simonas Juzenas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania
| | - Karolis Goda
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania
| | - Raimonda Kubiliute
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania
| | - Darius Dasevicius
- National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, 08406, Lithuania
| | | | - Albertas Ulys
- National Cancer Institute, Vilnius, 08660, Lithuania
| | - Sonata Jarmalaite
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
- National Cancer Institute, Vilnius, 08660, Lithuania.
| | - Linas Mazutis
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
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5
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Desai P, Takahashi N, Kumar R, Nichols S, Malin J, Hunt A, Schultz C, Cao Y, Tillo D, Nousome D, Chauhan L, Sciuto L, Jordan K, Rajapakse V, Tandon M, Lissa D, Zhang Y, Kumar S, Pongor L, Singh A, Schroder B, Sharma AK, Chang T, Vilimas R, Pinkiert D, Graham C, Butcher D, Warner A, Sebastian R, Mahon M, Baker K, Cheng J, Berger A, Lake R, Abel M, Krishnamurthy M, Chrisafis G, Fitzgerald P, Nirula M, Goyal S, Atkinson D, Bateman NW, Abulez T, Nair G, Apolo A, Guha U, Karim B, El Meskini R, Ohler ZW, Jolly MK, Schaffer A, Ruppin E, Kleiner D, Miettinen M, Brown GT, Hewitt S, Conrads T, Thomas A. Microenvironment shapes small-cell lung cancer neuroendocrine states and presents therapeutic opportunities. Cell Rep Med 2024; 5:101610. [PMID: 38897168 DOI: 10.1016/j.xcrm.2024.101610] [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: 03/02/2023] [Revised: 08/04/2023] [Accepted: 05/17/2024] [Indexed: 06/21/2024]
Abstract
Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intratumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the cell-extrinsic drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the TME exhibit substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAFs) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting exceptionally poor prognosis. Our work provides a comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLC's adaptable nature, opening possibilities for reprogramming the TME-tumor communications that shape SCLC tumor states.
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Affiliation(s)
- Parth Desai
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, Fox Chase Cancer Center, Temple University Hospital and Lewis Katz School of Medicine, Philadelphia, PA, USA
| | - Nobuyuki Takahashi
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Rajesh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samantha Nichols
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Justin Malin
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison Hunt
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Christopher Schultz
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yingying Cao
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Desiree Tillo
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Darryl Nousome
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lakshya Chauhan
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Linda Sciuto
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kimberly Jordan
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vinodh Rajapakse
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mayank Tandon
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Delphine Lissa
- Laboratory of Human Carcinogenesis, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yang Zhang
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Suresh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lorinc Pongor
- HCEMM Cancer Genomics and Epigenetics Research Group, Szeged, Hungary
| | - Abhay Singh
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Brett Schroder
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ajit Kumar Sharma
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tiangen Chang
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rasa Vilimas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Pinkiert
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chante Graham
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Donna Butcher
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Andrew Warner
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Robin Sebastian
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mimi Mahon
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Karen Baker
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Jennifer Cheng
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ann Berger
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ross Lake
- Laboratory of Genitourinary cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Melissa Abel
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Manan Krishnamurthy
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George Chrisafis
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Fitzgerald
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Micheal Nirula
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shubhank Goyal
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Devon Atkinson
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Nicholas W Bateman
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Tamara Abulez
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrea Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Udayan Guha
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Baktiar Karim
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Rajaa El Meskini
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Zoe Weaver Ohler
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Mohit Kumar Jolly
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Alejandro Schaffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David Kleiner
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Markku Miettinen
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - G Tom Brown
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Hewitt
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas Conrads
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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6
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Jing ZQ, Luo ZQ, Chen SR, Sun ZJ. Heterogeneity of myeloid cells in common cancers: Single cell insights and targeting strategies. Int Immunopharmacol 2024; 134:112253. [PMID: 38735257 DOI: 10.1016/j.intimp.2024.112253] [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: 03/27/2024] [Revised: 05/02/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
Tumor microenvironment (TME), is characterized by a complex and heterogenous composition involving a substantial population of immune cells. Myeloid cells comprising over half of the solid tumor mass, are undoubtedly one of the most prominent cell populations associated with tumors. Studies have unambiguously established that myeloid cells play a key role in tumor development, including immune suppression, pro-inflammation, promote tumor metastasis and angiogenesis, for example, tumor-associated macrophages promote tumor progression in a variety of common tumors, including lung cancer, through direct or indirect interactions with the TME. However, due to previous technological constraints, research on myeloid cells often tended to be conducted as studies with low throughput and limited resolution. For example, the conventional categorization of macrophages into M1-like and M2-like subsets based solely on their anti-tumor and pro-tumor roles has disregarded their continuum of states, resulting in an inadequate analysis of the high heterogeneity characterizing myeloid cells. The widespread adoption of single-cell RNA sequencing (scRNA-seq) in tumor immunology has propelled researchers into a new realm of understanding, leading to the establishment of novel subsets and targets. In this review, the origin of myeloid cells in high-incidence cancers, the functions of myeloid cell subsets examined through traditional and single-cell perspectives, as well as specific targeting strategies, are comprehensively outlined. As a result of this endeavor, we will gain a better understanding of myeloid cell heterogeneity, as well as contribute to the development of new therapeutic approaches.
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Affiliation(s)
- Zhi-Qian Jing
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Qi Luo
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Si-Rui Chen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Jun Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China.
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7
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Wu S, Wang H, Yang Q, Liu Z, Du J, Wang L, Chen S, Lu Q, Yang DH. METTL3 regulates M6A methylation-modified EBV-pri-miR-BART3-3p to promote NK/T cell lymphoma growth. Cancer Lett 2024; 597:217058. [PMID: 38880226 DOI: 10.1016/j.canlet.2024.217058] [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: 02/17/2024] [Revised: 05/20/2024] [Accepted: 06/08/2024] [Indexed: 06/18/2024]
Abstract
OBJECTIVE N6-methyladenosine (M6A) is the most prevalent epigenetic alteration. Methyltransferase-like 3 (METTL3) is a key player in the control of M6A modification. Methyltransferase promote the processing of mature miRNA in an M6A-dependent manner, thereby participating in disease occurrence and development. However, the regulatory mechanism of M6A in NK/T cell lymphoma (NKTCL) remains unclear. PATIENTS AND METHODS We determined the expression of METTL3 and its correlation with clinicopathological features using qRT-PCR and immunohistochemistry. We evaluated the effects of METTL3 on NKTCL cells using dot blot assay, CCK8 assay and subcutaneous xenograft experiment. We then applied M6A sequencing combined with gene expression omnibus data to screen candidate targets of METTL3. Finally, we investigated the regulatory mechanism of METTL3 in NKTCL by methylated RNA immunoprecipitation and RNA immunoprecipitation (RIP) assays. RESULTS We demonstrated that METTL3 was highly expressed in NKTCL cells and tissues and indicated poor prognosis. The METTL3 expression was associated with NKTCL survival. Functionally, METTL3 promoted the proliferation capability of NKTCL cells in vitro and in vivo. Furthermore, EBV-miR-BART3-3p was identified as the downstream effector of METTL3, and silencing EBV-miR-BART3-3p inhibited the proliferation of NKTCL. Finally, we confirmed that PLCG2 as a target gene of EBVmiR-BART3-3p by relative assays. CONCLUSIONS We identified that METTL3 is significantly up-regulated in NKTCL and promotes NKTCL development. M6A modification contributes to the progression of NKTCL via the METTL3/EBV-miR-BART3-3p/PLCG2 axis. Our study is the first to report that M6A methylation has a critical role in NKTCL oncogenesis, and could be a potential target for NKTCL treatment.
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Affiliation(s)
- Shaojie Wu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Hua Wang
- Department of Hematologic Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Qixuan Yang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Zhengyun Liu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Jingwen Du
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Lei Wang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Shuaijun Chen
- Department of ENT&HN Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Qisi Lu
- Department of Hematology, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, 515500, China.
| | - Dong-Hua Yang
- New York College of Traditional Chinese Medicine, Mineola, NY, 11501, United States.
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8
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Finlay JB, Ireland AS, Hawgood SB, Reyes T, Ko T, Olsen RR, Abi Hachem R, Jang DW, Bell D, Chan JM, Goldstein BJ, Oliver TG. Olfactory neuroblastoma mimics molecular heterogeneity and lineage trajectories of small-cell lung cancer. Cancer Cell 2024; 42:1086-1105.e13. [PMID: 38788720 PMCID: PMC11186085 DOI: 10.1016/j.ccell.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/13/2024] [Accepted: 05/02/2024] [Indexed: 05/26/2024]
Abstract
The olfactory epithelium undergoes neuronal regeneration from basal stem cells and is susceptible to olfactory neuroblastoma (ONB), a rare tumor of unclear origins. Employing alterations in Rb1/Trp53/Myc (RPM), we establish a genetically engineered mouse model of high-grade metastatic ONB exhibiting a NEUROD1+ immature neuronal phenotype. We demonstrate that globose basal cells (GBCs) are a permissive cell of origin for ONB and that ONBs exhibit cell fate heterogeneity that mimics normal GBC developmental trajectories. ASCL1 loss in RPM ONB leads to emergence of non-neuronal histopathologies, including a POU2F3+ microvillar-like state. Similar to small-cell lung cancer (SCLC), mouse and human ONBs exhibit mutually exclusive NEUROD1 and POU2F3-like states, an immune-cold tumor microenvironment, intratumoral cell fate heterogeneity comprising neuronal and non-neuronal lineages, and cell fate plasticity-evidenced by barcode-based lineage tracing and single-cell transcriptomics. Collectively, our findings highlight conserved similarities between ONB and neuroendocrine tumors with significant implications for ONB classification and treatment.
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Affiliation(s)
- John B Finlay
- Department of Head and Neck Surgery & Communication Sciences, Duke University, Durham 27710, NC, USA
| | - Abbie S Ireland
- Department of Pharmacology and Cancer Biology, Duke University, Durham 27710, NC, USA
| | - Sarah B Hawgood
- Department of Pharmacology and Cancer Biology, Duke University, Durham 27710, NC, USA
| | - Tony Reyes
- Department of Pharmacology and Cancer Biology, Duke University, Durham 27710, NC, USA; Department of Oncological Sciences, University of Utah, Salt Lake City 84112, UT, USA
| | - Tiffany Ko
- Department of Head and Neck Surgery & Communication Sciences, Duke University, Durham 27710, NC, USA
| | - Rachelle R Olsen
- Department of Oncological Sciences, University of Utah, Salt Lake City 84112, UT, USA
| | - Ralph Abi Hachem
- Department of Head and Neck Surgery & Communication Sciences, Duke University, Durham 27710, NC, USA
| | - David W Jang
- Department of Head and Neck Surgery & Communication Sciences, Duke University, Durham 27710, NC, USA
| | - Diana Bell
- Division of Anatomic Pathology, City of Hope Comprehensive Cancer Center, Duarte 91010, CA, USA
| | - Joseph M Chan
- Human Oncology and Pathogenesis Program, Memorial-Sloan Kettering Cancer Center, New York City 10065, NY, USA
| | - Bradley J Goldstein
- Department of Head and Neck Surgery & Communication Sciences, Duke University, Durham 27710, NC, USA; Department of Neurobiology, Duke University, Durham 27710, NC, USA.
| | - Trudy G Oliver
- Department of Pharmacology and Cancer Biology, Duke University, Durham 27710, NC, USA; Department of Oncological Sciences, University of Utah, Salt Lake City 84112, UT, USA.
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9
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Tomic K, Krpina K, Baticic L, Samarzija M, Vranic S. Comprehensive molecular and clinical insights into non-small cell lung cancer transformation to small cell lung cancer with an illustrative case report. J Drug Target 2024; 32:499-509. [PMID: 38506620 DOI: 10.1080/1061186x.2024.2332733] [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: 01/24/2024] [Accepted: 03/10/2024] [Indexed: 03/21/2024]
Abstract
Histologic transformation to small cell lung cancer (tSCLC) is a rare but increasingly recognised mechanism of acquired resistance to tyrosine kinase inhibitors (TKI) in patients with epidermal growth factor receptor (EGFR)-positive non-small cell lung cancer (NSCLC). Beyond its acknowledged role in TKI resistance, histologic transformation to SCLC might be an important, yet under-recognised, mechanism of resistance in NSCLC treated with immunotherapy. Our review identified 32 studies that investigated tSCLC development in patients with EGFR-mutated NSCLC treated with TKI therapy and 16 case reports of patients treated with immunotherapy. It revealed the rarity of tSCLC, with a predominance of EGFR exon 19 mutations and limited therapeutic options and outcomes. Across all analysed studies in EGFR-mutated NSCLC treated with TKI therapy, the median time to tSCLC development was ∼17 months, with a median overall survival of 10 months. Histologic transformation of EGFR-mutated NSCLC to SCLC is a rare, but challenging clinical problem with a poor prognosis. A small number of documented cases of tSCLC after immunotherapy highlight the need for rebiopsies at progression to diagnose this potential resistance mechanism. Further research is needed to better understand the mechanisms underlying this phenomenon and to develop more effective treatment strategies for patients with tSCLC.
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Affiliation(s)
- Kresimir Tomic
- Department of Oncology, University Clinical Hospital Mostar, Mostar, Bosnia and Herzegovina
| | - Kristina Krpina
- Clinic for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Lara Baticic
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Miroslav Samarzija
- Clinic for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Semir Vranic
- College of Medicine, QU Health, Qatar University, Doha, Qatar
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10
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Tung YT, Chen YC, Derr K, Wilson K, Song MJ, Ferrer M. A 3D Bioprinted Human Neurovascular Unit Model of Glioblastoma Tumor Growth. Adv Healthc Mater 2024; 13:e2302831. [PMID: 38394389 PMCID: PMC11176035 DOI: 10.1002/adhm.202302831] [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: 10/01/2023] [Revised: 01/29/2024] [Indexed: 02/25/2024]
Abstract
A 3D bioprinted neurovascular unit (NVU) model is developed to study glioblastoma (GBM) tumor growth in a brain-like microenvironment. The NVU model includes human primary astrocytes, pericytes and brain microvascular endothelial cells, and patient-derived glioblastoma cells (JHH-520) are used for this study. Fluorescence reporters are used with confocal high content imaging to quantitate real-time microvascular network formation and tumor growth. Extensive validation of the NVU-GBM model includes immunostaining for brain relevant cellular markers and extracellular matrix components; single cell RNA sequencing (scRNAseq) to establish physiologically relevant transcriptomics changes; and secretion of NVU and GBM-relevant cytokines. The scRNAseq reveals changes in gene expression and cytokines secretion associated with wound healing/angiogenesis, including the appearance of an endothelial mesenchymal transition cell population. The NVU-GBM model is used to test 18 chemotherapeutics and anti-cancer drugs to assess the pharmacological relevance of the model and robustness for high throughput screening.
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Affiliation(s)
- Yen-Ting Tung
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Yu-Chi Chen
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kristy Derr
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kelli Wilson
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Min Jae Song
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
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11
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Cai A, Meng Y, Zhou H, Cai H, Shao X, Wang Q, Xu Y, Zhou Y, Zhou W, Chen L, Mou S. Podocyte Pathogenic Bone Morphogenetic Protein-2 Pathway and Immune Cell Behaviors in Primary Membranous Nephropathy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2404151. [PMID: 38785168 DOI: 10.1002/advs.202404151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Indexed: 05/25/2024]
Abstract
Primary membranous nephropathy (PMN) is one of the leading causes of end-stage renal disease, and the most frequent cause of massive proteinuria in nondiabetic adults, resulting in fatal complications. However, the underlying pathomechanisms of PMN remain largely unclear. Here, single-cell RNA sequencing is employed to analyze kidney biopsies from eleven PMN patients and seven healthy subjects. Profiling 44 060 cells from patients allowed us to characterize the cellular composition and cell-type-specific gene expression in the PMN kidney. The complement-induced BMP2/pSMAD1/COL4 pathway is identified as the pathogenic pathway in podocytes, bridging two key events, i.e., complement system activation and glomerular basement membrane thickening in PMN. Augmented infiltration and activation of myeloid leukocytes and B lymphocytes are found, profiling delicate crosstalk of immune cells in PMN kidneys. Overall, these results provide valuable insights into the roles of podocytes and immune cells in PMN, and comprehensive resources toward the complete understanding of PMN pathophysiology.
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Affiliation(s)
- Anxiang Cai
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yiwei Meng
- Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China
- Institute of Molecular Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Hang Zhou
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Hong Cai
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xinghua Shao
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Qin Wang
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yao Xu
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yin Zhou
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Wenyan Zhou
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Luonan Chen
- Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai, 201210, China
| | - Shan Mou
- Department of Nephrology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
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12
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Aziz MA. Multiomics approach towards characterization of tumor cell plasticity and its significance in precision and personalized medicine. Cancer Metastasis Rev 2024:10.1007/s10555-024-10190-x. [PMID: 38761231 DOI: 10.1007/s10555-024-10190-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 05/08/2024] [Indexed: 05/20/2024]
Abstract
Cellular plasticity refers to the ability of cells to change their identity or behavior, which can be advantageous in some cases (e.g., tissue regeneration) but detrimental in others (e.g., cancer metastasis). With a better understanding of cellular plasticity, the complexity of cancer cells, their heterogeneity, and their role in metastasis is being unraveled. The plasticity of the cells could also prove as a nemesis to their characterization. In this review, we have attempted to highlight the possibilities and benefits of using multiomics approach in characterizing the plastic nature of cancer cells. There is a need to integrate fragmented evidence at different levels of cellular organization (DNA, RNA, protein, metabolite, epigenetics, etc.) to facilitate the characterization of different forms of plasticity and cell types. We have discussed the role of cellular plasticity in generating intra-tumor heterogeneity. Different omics level evidence is being provided to highlight the variety of molecular determinants discovered using different techniques. Attempts have been made to integrate some of this information to provide a quantitative assessment and scoring of the plastic nature of the cells. However, there is a huge gap in our understanding of mechanisms that lead to the observed heterogeneity. Understanding of these mechanism(s) is necessary for finding targets for early detection and effective therapeutic interventions in metastasis. Targeting cellular plasticity is akin to neutralizing a moving target. Along with the advancements in precision and personalized medicine, these efforts may translate into better clinical outcomes for cancer patients, especially in metastatic stages.
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Affiliation(s)
- Mohammad Azhar Aziz
- Interdisciplinary Nanotechnology Center, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
- Cancer Nanomedicine Consortium, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
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13
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Sui P, Liu X, Zhong C, Sha Z. Integrated single-cell and bulk RNA-Seq analysis enhances prognostic accuracy of PD-1/PD-L1 immunotherapy response in lung adenocarcinoma through necroptotic anoikis gene signatures. Sci Rep 2024; 14:10873. [PMID: 38740918 DOI: 10.1038/s41598-024-61629-8] [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: 12/13/2023] [Accepted: 05/08/2024] [Indexed: 05/16/2024] Open
Abstract
In addition to presenting significant diagnostic and treatment challenges, lung adenocarcinoma (LUAD) is the most common form of lung cancer. Using scRNA-Seq and bulk RNA-Seq data, we identify three genes referred to as HMR, FAM83A, and KRT6A these genes are related to necroptotic anoikis-related gene expression. Initial validation, conducted on the GSE50081 dataset, demonstrated the model's ability to categorize LUAD patients into high-risk and low-risk groups with significant survival differences. This model was further applied to predict responses to PD-1/PD-L1 blockade therapies, utilizing the IMvigor210 and GSE78220 cohorts, and showed strong correlation with patient outcomes, highlighting its potential in personalized immunotherapy. Further, LUAD cell lines were analyzed using quantitative PCR (qPCR) and Western blot analysis to confirm their expression levels, further corroborating the model's relevance in LUAD pathophysiology. The mutation landscape of these genes was also explored, revealing their broad implication in various cancer types through a pan-cancer analysis. The study also delved into molecular subclustering, revealing distinct expression profiles and associations with different survival outcomes, emphasizing the model's utility in precision oncology. Moreover, the diversity of immune cell infiltration, analyzed in relation to the necroptotic anoikis signature, suggested significant implications for immune evasion mechanisms in LUAD. While the findings present a promising stride towards personalized LUAD treatment, especially in immunotherapy, limitations such as the retrospective nature of the datasets and the need for larger sample sizes are acknowledged. Prospective clinical trials and further experimental research are essential to validate these findings and enhance the clinical applicability of our prognostic model.
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Affiliation(s)
- Ping Sui
- Department of Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- Institute of Transfusion Medicine and Immunology, Mannheim Institute for Innate Immunoscience (MI3), Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Xueping Liu
- Department of Pulmonary and Critical Care Medicine, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Cheng Zhong
- Jiangmen Hospital of Traditional Chinese Medicine Affiliated to Jinan University, Jiangmen, 52900, China.
| | - Zhanming Sha
- Department of Anesthesiology, Shandong Provincial Third Hospital, Jinan, 250031, China.
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14
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Zeng L, Zhang L, Yin C, Chen X, Chen X, Sun L, Sun J. Characterization of zinc finger protein 536, a neuroendocrine regulator, using pan-cancer analysis. Eur J Med Res 2024; 29:273. [PMID: 38720348 PMCID: PMC11077744 DOI: 10.1186/s40001-024-01792-w] [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: 01/22/2024] [Accepted: 03/12/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Previous studies suggested that zinc finger protein 536 (ZNF536) was abundant in the central brain and regulated neuronal differentiation. However, the role of ZNF536 in cancer has remained unclear. METHODS ZNF536 mutation, copy number alteration, DNA methylation, and RNA expression were explored using public portals. Data from The Cancer Genome Atlas (TCGA) were utilized to analyze pathways and tumor microenvironment (TME), with a focus on prognosis in both TCGA and immunotherapy pan-cancer cohorts. Methylated ZNF536 from small cell lung cancer (SCLC) cell lines were utilized to train with probes for conducting enrichment analysis. Single-cell RNA profile demonstrated the sublocalization and co-expression of ZNF536, and validated its targets by qPCR. RESULTS Genetic alterations in ZNF536 were found to be high-frequency and a single sample could harbor different variations. ZNF536 at chromosome 19q12 exerted a bypass effect on CCNE1, supported by CRISPR data. For lung cancer, ZNF536 mutation was associated with longer survival in primary lung adenocarcinoma (LUAD), but its prognosis was poor in metastatic LUAD and SCLC. Importantly, ZNF536 mutation and amplification had opposite prognoses in Stand Up To Cancer-Mark Foundation (SU2C-MARK) LUAD cohort. ZNF536 mutation altered the patterns of genomic alterations in tumors, and had distinct impacts on the signaling pathways and TME compared to ZNF536 amplification. Additionally, ZNF536 expression was predominantly in endocrine tumors and brain tissues. High-dimensional analysis supported this finding and further revealed regulators of ZNF536. Considering that the methylation of ZNF536 was involved in the synaptic pathway associated with neuroendocrine neoplasms, demonstrating both diagnostic and prognostic value. Moreover, we experimentally verified ZNF536 upregulated neuroendocrine markers. CONCLUSIONS Our results showed that ZNF536 alterations in cancer, including variations in copy number, mutation, and methylation. We proved the involvement of ZNF536 in neuroendocrine regulation, and identified highly altered ZNF536 as a potential biomarker for immunotherapy.
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Affiliation(s)
- Longjin Zeng
- Department of Basic Medicine, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Longyao Zhang
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China
| | - Chenrui Yin
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China
| | - Xu Chen
- Department of Medical Affairs, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China
| | - Xiewan Chen
- Department of Basic Medicine, Army Medical University, Chongqing, 400038, People's Republic of China
| | - Lingyou Sun
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China
| | - Jianguo Sun
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
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15
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Chen Z, Wang Z, Ma H, Bao H, Jiang T, Yang T, Ma S. Immune cells mediated the causal relationship between the gut microbiota and lung cancer: a Mendelian randomization study. Front Microbiol 2024; 15:1390722. [PMID: 38765682 PMCID: PMC11099228 DOI: 10.3389/fmicb.2024.1390722] [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: 02/23/2024] [Accepted: 04/16/2024] [Indexed: 05/22/2024] Open
Abstract
Introduction The gut microbiota (GM) influences the occurrence and progression of lung cancer (LC), with potential involvement of immune cells (IC). We aimed to investigate the causal impact of GM on LC and identify potential immune cell mediators. Methods The utilized data for the Genome-Wide Association Studies (GWAS) were summarized as follows: gut microbiota data from the Dutch Microbiome Project (DMP) (N = 7,738), lung cancer data from the Transdisciplinary Research in Cancer of the Lung (TRICL) and International Lung Cancer Consortium (ILCCO) (Ncase = 29,266, Ncontrol = 56,450) included four types of cancer: NSCLC, LUAD, LUSC, and SCLC, and immune cell data from European populations (N = 3,757). We employed bi-directional two-sample univariable Mendelian randomization (UVMR), multivariable Mendelian randomization (MVMR), and mediation analysis to assess the causal relationship between GM and LC and potential immune cell mediators. Results Bi-directional UVMR analysis revealed that 24 gut microbiota species can affect LC, while LC can affect the abundance of 17 gut microbiota species. Mediation analysis demonstrated that six immune cells mediated the causal relationships of seven gut microbiota species on LC: "CCR7 on naive CD8+ T cell" mediated the causal relationship between s_Alistipes_putredinis and LUAD, with a mediation proportion of 9.5% and P = 0.018; "IgD- CD27- B cell %lymphocyte" mediated the causal relationships between g_Gordonibacter and s_Gordonibacter_pamelaeae with LUSC, with mediation proportions of 11.8% and 11.9%, respectively and P = 0.029; "CD20- CD38- B cell %lymphocyte" mediated the causal relationship between s_Bacteroides_clarus and SCLC, with a mediation proportion of 13.8% and P = 0.005; "CD20 on IgD+ CD38- unswitched memory B cell" mediated the causal relationship between s_Streptococcus_thermophilus and SCLC, with a mediation proportion of 14.1% and P = 0.023; "HLA DR on CD14- CD16+ monocyte" mediated the causal relationship between s_Bifidobacterium_bifidum and SCLC, with a mediation proportion of 8.7% and P = 0.012; "CD45 on Granulocytic Myeloid-Derived Suppressor Cells" mediated the causal relationship between f_Lactobacillaceae and SCLC, with a mediation proportion of 4.0% and P = 0.021. Conclusion This Mendelian randomization study identified several specific gut microbiotas that exhibit causal relationships with lung cancer and potentially mediate immune cells.
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Affiliation(s)
- Zhiting Chen
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhe Wang
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hao Ma
- Department of Obstetrics and Gynecology, Shijing People’s Hospital, Guangzhou, China
| | - Hejing Bao
- Department of Oncology, Panyu Central Hospital, Guangzhou, China
| | - Ting Jiang
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ting Yang
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shudong Ma
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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16
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Loh JJ, Ma S. Hallmarks of cancer stemness. Cell Stem Cell 2024; 31:617-639. [PMID: 38701757 DOI: 10.1016/j.stem.2024.04.004] [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: 12/31/2023] [Revised: 03/11/2024] [Accepted: 04/03/2024] [Indexed: 05/05/2024]
Abstract
Cancer stemness is recognized as a key component of tumor development. Previously coined "cancer stem cells" (CSCs) and believed to be a rare population with rigid hierarchical organization, there is good evidence to suggest that these cells exhibit a plastic cellular state influenced by dynamic CSC-niche interplay. This revelation underscores the need to reevaluate the hallmarks of cancer stemness. Herein, we summarize the techniques used to identify and characterize the state of these cells and discuss their defining and emerging hallmarks, along with their enabling and associated features. We also highlight potential future directions in this field of research.
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Affiliation(s)
- Jia-Jian Loh
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Stephanie Ma
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Synthetic Chemistry and Chemical Biology, Hong Kong Science and Technology Park, Hong Kong SAR, China; Centre for Translational and Stem Cell Biology, Hong Kong Science and Technology Park, Hong Kong SAR, China.
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17
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Wang J, Yang Y, Shao F, Meng Y, Guo D, He J, Lu Z. Acetate reprogrammes tumour metabolism and promotes PD-L1 expression and immune evasion by upregulating c-Myc. Nat Metab 2024; 6:914-932. [PMID: 38702440 DOI: 10.1038/s42255-024-01037-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/21/2024] [Indexed: 05/06/2024]
Abstract
Acetate, a precursor of acetyl-CoA, is instrumental in energy production, lipid synthesis and protein acetylation. However, whether acetate reprogrammes tumour metabolism and plays a role in tumour immune evasion remains unclear. Here, we show that acetate is the most abundant short-chain fatty acid in human non-small cell lung cancer tissues, with increased tumour-enriched acetate uptake. Acetate-derived acetyl-CoA induces c-Myc acetylation, which is mediated by the moonlighting function of the metabolic enzyme dihydrolipoamide S-acetyltransferase. Acetylated c-Myc increases its stability and subsequent transcription of the genes encoding programmed death-ligand 1, glycolytic enzymes, monocarboxylate transporter 1 and cell cycle accelerators. Dietary acetate supplementation promotes tumour growth and inhibits CD8+ T cell infiltration, whereas disruption of acetate uptake inhibits immune evasion, which increases the efficacy of anti-PD-1-based therapy. These findings highlight a critical role of acetate promoting tumour growth beyond its metabolic role as a carbon source by reprogramming tumour metabolism and immune evasion, and underscore the potential of controlling acetate metabolism to curb tumour growth and improve the response to immune checkpoint blockade therapy.
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Affiliation(s)
- Juhong Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yannan Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Shao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Laboratory of Translational Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Meng
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Center, Zhejiang University, Hangzhou, China
| | - Dong Guo
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Center, Zhejiang University, Hangzhou, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Zhimin Lu
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China.
- Cancer Center, Zhejiang University, Hangzhou, China.
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18
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Yang C, Xuan T, Gong Q, Dai X, Wang C, Zhang R, Zhao W, Wang J, Yue W, Li J. Efficacy and safety of novel immune checkpoint inhibitor-based combinations versus chemotherapy as first-line treatment for patients with extensive-stage small cell lung cancer: A network meta-analysis. Thorac Cancer 2024; 15:1246-1262. [PMID: 38623838 PMCID: PMC11128374 DOI: 10.1111/1759-7714.15310] [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: 02/22/2024] [Revised: 03/23/2024] [Accepted: 03/31/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Patients with extensive-stage small cell lung cancer (ES-SCLC) have an exceptionally poor prognosis and immune checkpoint inhibitors (ICIs) combined with etoposide-platinum is recommended as standard first-line therapy. However, which combination pattern is the best still remains unknown. This network meta-analysis was performed to compare the efficacy and safety of currently available patterns including an antiangiogenic agent containing regimen and probed into the most appropriate therapy for patients. METHODS Hazard ratios (HRs) and odds ratios (ORs) were generated using R software. The outcomes of overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and adverse events of grade 3 or higher (grade ≥ 3 adverse events [AEs]) were analyzed. RESULTS A total of 10 randomized controlled trials (RCTs) involving 5544 patients were included for analysis. Drug combination patterns included adebrelimab, atezolizumab, durvalumab, durvalumab plus tremelimumab, ipilimumab, pembrolizumab, serplulimab, benmelstobart plus anlotinib, tislelizumab, tiragolumab plus atezolizumab and toripalimab in combination with chemotherapy. The novel antiangiogenic agent containing regimen benmelstobart + anlotinib + chemotherapy showed the highest possibility to present the best PFS and OS versus chemotherapy. Compared with ICI plus chemotherapy, it also achieved significantly better PFS and presented a tendency of OS benefit. As for safety and toxicity, patients treated with benmelstobart + anlotinib + chemotherapy and durvalumab + tremelimumab + chemotherapy suffered a higher likelihood of more grade ≥ 3 AEs without unexpected AEs. CONCLUSION PD-1/PD-L1 inhibitors-based combinations are associated with significant improvement in both PFS and OS for treatment-naïve ES-SCLC patients. Benmelstobart plus anlotinib with chemotherapy (CT) yielded better survival benefit versus CT alone or other ICIs + CT with caution for more adverse effects along with the addition of an antiangiogenic agent.
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Affiliation(s)
- Chuang Yang
- Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Tiantian Xuan
- Department of Medical Oncology, Qilu Hospital (Qingdao), Cheeloo College of MedicineShandong UniversityQingdaoChina
| | - Qing Gong
- Department of Respiratory Oncology, Wendeng District People's HospitalWeihaiChina
| | - Xin Dai
- Department of Medical Oncology, Shandong Provincial Hospital of Traditional Chinese MedicineJinanChina
| | - Chengjun Wang
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Rongyu Zhang
- Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Wen Zhao
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Jian Wang
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Weiming Yue
- Department of Thoracic Surgery, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Jisheng Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
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19
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Akbulut D, Al-Ahmadie H. Updates on Urinary Bladder Tumors With Neuroendocrine Features. Adv Anat Pathol 2024; 31:169-177. [PMID: 38523484 PMCID: PMC11006587 DOI: 10.1097/pap.0000000000000433] [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] [Indexed: 03/26/2024]
Abstract
The most common neuroendocrine tumor in the urinary bladder is small cell carcinoma, which can be pure or mixed with components of urothelial or other histologic subtypes. Large cell neuroendocrine carcinoma of the bladder is rare and remains ill-defined but is increasingly recognized. Well-differentiated neuroendocrine tumor and paraganglioma can arise in the bladder but are very rare in this location. Recent advances in molecular characterization allowed for better classification and may offer improved stratification of these tumors.
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Affiliation(s)
- Dilara Akbulut
- Laboratory of Pathology, National Cancer Institute, NIH, Bethesda, MD
| | - Hikmat Al-Ahmadie
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center New York, NY
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20
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Du Q, An Q, Zhang J, Liu C, Hu Q. Unravelling immune microenvironment features underlying tumor progression in the single-cell era. Cancer Cell Int 2024; 24:143. [PMID: 38649887 PMCID: PMC11036673 DOI: 10.1186/s12935-024-03335-z] [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: 11/06/2023] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
The relationship between the immune cell and tumor occurrence and progression remains unclear. Profiling alterations in the tumor immune microenvironment (TIME) at high resolution is crucial to identify factors influencing cancer progression and enhance the effectiveness of immunotherapy. However, traditional sequencing methods, including bulk RNA sequencing, exhibit varying degrees of masking the cellular heterogeneity and immunophenotypic changes observed in early and late-stage tumors. Single-cell RNA sequencing (scRNA-seq) has provided significant and precise TIME landscapes. Consequently, this review has highlighted TIME cellular and molecular changes in tumorigenesis and progression elucidated through recent scRNA-seq studies. Specifically, we have summarized the cellular heterogeneity of TIME at different stages, including early, late, and metastatic stages. Moreover, we have outlined the related variations that may promote tumor occurrence and metastasis in the single-cell era. The widespread applications of scRNA-seq in TIME will comprehensively redefine the understanding of tumor biology and furnish more effective immunotherapy strategies.
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Affiliation(s)
- Qilian Du
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Qi An
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jiajun Zhang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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21
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Hiatt JB, Doebley AL, Arnold HU, Adil M, Sandborg H, Persse TW, Ko M, Wu F, Quintanal Villalonga A, Santana-Davila R, Eaton K, Dive C, Rudin CM, Thomas A, Houghton AM, Ha G, MacPherson D. Molecular phenotyping of small cell lung cancer using targeted cfDNA profiling of transcriptional regulatory regions. SCIENCE ADVANCES 2024; 10:eadk2082. [PMID: 38598634 PMCID: PMC11006233 DOI: 10.1126/sciadv.adk2082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/27/2024] [Indexed: 04/12/2024]
Abstract
We report an approach for cancer phenotyping based on targeted sequencing of cell-free DNA (cfDNA) for small cell lung cancer (SCLC). In SCLC, differential activation of transcription factors (TFs), such as ASCL1, NEUROD1, POU2F3, and REST defines molecular subtypes. We designed a targeted capture panel that identifies chromatin organization signatures at 1535 TF binding sites and 13,240 gene transcription start sites and detects exonic mutations in 842 genes. Sequencing of cfDNA from SCLC patient-derived xenograft models captured TF activity and gene expression and revealed individual highly informative loci. Prediction models of ASCL1 and NEUROD1 activity using informative loci achieved areas under the receiver operating characteristic curve (AUCs) from 0.84 to 0.88 in patients with SCLC. As non-SCLC (NSCLC) often transforms to SCLC following targeted therapy, we applied our framework to distinguish NSCLC from SCLC and achieved an AUC of 0.99. Our approach shows promising utility for SCLC subtyping and transformation monitoring, with potential applicability to diverse tumor types.
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Affiliation(s)
- Joseph B. Hiatt
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Veterans Affairs Puget Sound Healthcare System - Seattle Branch, Seattle, WA, USA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Anna-Lisa Doebley
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Henry U. Arnold
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Mohamed Adil
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Holly Sandborg
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Thomas W. Persse
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Minjeong Ko
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Feinan Wu
- Genomics and Bioinformatics Shared Resource, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Alvaro Quintanal Villalonga
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rafael Santana-Davila
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Keith Eaton
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Caroline Dive
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK
| | - Charles M. Rudin
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Graduate Program in Pharmacology, Weill Cornell Medical College; New York, NY, USA
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - A. McGarry Houghton
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Gavin Ha
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David MacPherson
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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22
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Zaidi S, Park J, Chan JM, Roudier MP, Zhao JL, Gopalan A, Wadosky KM, Patel RA, Sayar E, Karthaus WR, Henry Kates D, Chaudhary O, Xu T, Masilionis I, Mazutis L, Chaligné R, Obradovic A, Linkov I, Barlas A, Jungbluth A, Rekhtman N, Silber J, Manova–Todorova K, Watson PA, True LD, Morrissey CM, Scher HI, Rathkopf D, Morris MJ, Goodrich DW, Choi J, Nelson PS, Haffner MC, Sawyers CL. Single Cell Analysis of Treatment-Resistant Prostate Cancer: Implications of Cell State Changes for Cell Surface Antigen Targeted Therapies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.09.588340. [PMID: 38645034 PMCID: PMC11030323 DOI: 10.1101/2024.04.09.588340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)--a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis (TMA) on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated, but also found that the expression of molecules targeted therapeutically, namely PSMA, STEAP1, STEAP2, TROP2, CEACAM5, and DLL3, varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer (SCLC) subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to novel antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.
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Affiliation(s)
- Samir Zaidi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jooyoung Park
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Joseph M. Chan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | | | - Anuradha Gopalan
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kristine M. Wadosky
- Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Radhika A. Patel
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98195, USA
| | - Erolcan Sayar
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98195, USA
| | - Wouter R. Karthaus
- Swiss Institute for Experimental Cancer Research (ISREC). School of Life Sciences. EPFL, 1015 Lausanne, Switzerland
| | - D. Henry Kates
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ojasvi Chaudhary
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tianhao Xu
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ignas Masilionis
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Linas Mazutis
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ronan Chaligné
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Aleksandar Obradovic
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Irina Linkov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Afsar Barlas
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Achim Jungbluth
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Joachim Silber
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Katia Manova–Todorova
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Philip A. Watson
- Research Outreach and Compliance, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Colm M. Morrissey
- Department of Urology, University of Washington, Seattle, WA 98195, USA
| | - Howard I. Scher
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Dana Rathkopf
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael J. Morris
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - David W. Goodrich
- Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Peter S. Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98195, USA
| | - Michael C. Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Charles L. Sawyers
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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23
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Romero R, Chu T, González-Robles TJ, Smith P, Xie Y, Kaur H, Yoder S, Zhao H, Mao C, Kang W, Pulina MV, Lawrence KE, Gopalan A, Zaidi S, Yoo K, Choi J, Fan N, Gerstner O, Karthaus WR, DeStanchina E, Ruggles KV, Westcott PM, Chaligné R, Pe’er D, Sawyers CL. The neuroendocrine transition in prostate cancer is dynamic and dependent on ASCL1. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.09.588557. [PMID: 38645223 PMCID: PMC11030418 DOI: 10.1101/2024.04.09.588557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Lineage plasticity is a recognized hallmark of cancer progression that can shape therapy outcomes. The underlying cellular and molecular mechanisms mediating lineage plasticity remain poorly understood. Here, we describe a versatile in vivo platform to identify and interrogate the molecular determinants of neuroendocrine lineage transformation at different stages of prostate cancer progression. Adenocarcinomas reliably develop following orthotopic transplantation of primary mouse prostate organoids acutely engineered with human-relevant driver alterations (e.g., Rb1-/-; Trp53-/-; cMyc+ or Pten-/-; Trp53-/-; cMyc+), but only those with Rb1 deletion progress to ASCL1+ neuroendocrine prostate cancer (NEPC), a highly aggressive, androgen receptor signaling inhibitor (ARSI)-resistant tumor. Importantly, we show this lineage transition requires a native in vivo microenvironment not replicated by conventional organoid culture. By integrating multiplexed immunofluorescence, spatial transcriptomics and PrismSpot to identify cell type-specific spatial gene modules, we reveal that ASCL1+ cells arise from KRT8+ luminal epithelial cells that progressively acquire transcriptional heterogeneity, producing large ASCL1+;KRT8- NEPC clusters. Ascl1 loss in established NEPC results in transient tumor regression followed by recurrence; however, Ascl1 deletion prior to transplantation completely abrogates lineage plasticity, yielding adenocarcinomas with elevated AR expression and marked sensitivity to castration. The dynamic feature of this model reveals the importance of timing of therapies focused on lineage plasticity and offers a platform for identification of additional lineage plasticity drivers.
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Affiliation(s)
- Rodrigo Romero
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tinyi Chu
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tania J. González-Robles
- Institute of Systems Genetics, Department of Precision Medicine, NYU Grossman School of Medicine, New York, NY 10061, USA
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10061, USA
| | - Perianne Smith
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Yubin Xie
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Harmanpreet Kaur
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sara Yoder
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Huiyong Zhao
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chenyi Mao
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wenfei Kang
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Maria V. Pulina
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kayla E. Lawrence
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anuradha Gopalan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Samir Zaidi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kwangmin Yoo
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Ning Fan
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Olivia Gerstner
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wouter R. Karthaus
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elisa DeStanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kelly V. Ruggles
- Institute of Systems Genetics, Department of Precision Medicine, NYU Grossman School of Medicine, New York, NY 10061, USA
| | | | - Ronan Chaligné
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Dana Pe’er
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Charles L. Sawyers
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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24
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Shukla V, Wang H, Varticovski L, Baek S, Wang R, Wu X, Echtenkamp F, Villa-Hernandez F, Prothro KP, Gara SK, Zhang MR, Shiffka S, Raziuddin R, Neckers LM, Linehan WM, Chen H, Hager GL, Schrump DS. Genome-Wide Analysis Identifies Nuclear Factor 1C as a Novel Transcription Factor and Potential Therapeutic Target in SCLC. J Thorac Oncol 2024:S1556-0864(24)00131-X. [PMID: 38583771 DOI: 10.1016/j.jtho.2024.03.023] [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: 10/31/2023] [Revised: 03/14/2024] [Accepted: 03/30/2024] [Indexed: 04/09/2024]
Abstract
INTRODUCTION Recent insights regarding mechanisms mediating stemness, heterogeneity, and metastatic potential of lung cancers have yet to be fully translated to effective regimens for the treatment of these malignancies. This study sought to identify novel targets for lung cancer therapy. METHODS Transcriptomes and DNA methylomes of 14 SCLC and 10 NSCLC lines were compared with normal human small airway epithelial cells (SAECs) and induced pluripotent stem cell (iPSC) clones derived from SAEC. SCLC lines, lung iPSC (Lu-iPSC), and SAEC were further evaluated by DNase I hypersensitive site sequencing (DHS-seq). Changes in chromatin accessibility and depths of transcription factor (TF) footprints were quantified using Bivariate analysis of Genomic Footprint. Standard techniques were used to evaluate growth, tumorigenicity, and changes in transcriptomes and glucose metabolism of SCLC cells after NFIC knockdown and to evaluate NFIC expression in SCLC cells after exposure to BET inhibitors. RESULTS Considerable commonality of transcriptomes and DNA methylomes was observed between Lu-iPSC and SCLC; however, this analysis was uninformative regarding pathways unique to lung cancer. Linking results of DHS-seq to RNA sequencing enabled identification of networks not previously associated with SCLC. When combined with footprint depth, NFIC, a transcription factor not previously associated with SCLC, had the highest score of occupancy at open chromatin sites. Knockdown of NFIC impaired glucose metabolism, decreased stemness, and inhibited growth of SCLC cells in vitro and in vivo. ChIP-seq analysis identified numerous sites occupied by BRD4 in the NFIC promoter region. Knockdown of BRD4 or treatment with Bromodomain and extra-terminal domain (BET) inhibitors (BETis) markedly reduced NFIC expression in SCLC cells and SCLC PDX models. Approximately 8% of genes down-regulated by BETi treatment were repressed by NFIC knockdown in SCLC, whereas 34% of genes repressed after NFIC knockdown were also down-regulated in SCLC cells after BETi treatment. CONCLUSIONS NFIC is a key TF and possible mediator of transcriptional regulation by BET family proteins in SCLC. Our findings highlight the potential of genome-wide chromatin accessibility analysis for elucidating mechanisms of pulmonary carcinogenesis and identifying novel targets for lung cancer therapy.
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Affiliation(s)
- Vivek Shukla
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Present Address: Division of Nonclinical Sciences (DNCS), FDA, Silver Spring, Maryland
| | - Haitao Wang
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Lyuba Varticovski
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Songjoon Baek
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ruihong Wang
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Xinwei Wu
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Frank Echtenkamp
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Frank Villa-Hernandez
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Katherine P Prothro
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sudheer K Gara
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mary R Zhang
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephanie Shiffka
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Razi Raziuddin
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Leonard M Neckers
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Haobin Chen
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; Present Address: Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - David S Schrump
- Thoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
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Zhou L, Zhao T, Zhang R, Chen C, Li J. New insights into the role of macrophages in cancer immunotherapy. Front Immunol 2024; 15:1381225. [PMID: 38605951 PMCID: PMC11007015 DOI: 10.3389/fimmu.2024.1381225] [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: 02/03/2024] [Accepted: 03/18/2024] [Indexed: 04/13/2024] Open
Abstract
Macrophages are the main component of the tumor microenvironment, which are differentiated from monocytes in the blood and play an important role in cancer development. Tumor-associated macrophages (TAMs) can promote tumor growth, invasion, metastasis, and resistance to anti-programmed death receptor 1 therapy by regulating programmed cell death ligand 1 expression and interacting with other immune cells in the tumor microenvironment. However, when activated properly, macrophages can also play an anti-tumor role by enhancing the phagocytosis and cytotoxicity of tumor cells. TAM is associated with poor prognosis and drug resistance in patients treated with immunotherapy, indicating that macrophages are attractive targets for combined therapy in cancer treatment. Combination of targeting TAMs and immunotherapy overcomes the drug resistance and achieved excellent results in some cancers, which may be a promising strategy for cancer treatment in the future. Herein, we review the recent findings on the role of macrophages in tumor development, metastasis, and immunotherapy. We focus mainly on macrophage≥centered therapy, including strategies to deplete and reprogram TAMs, which represent the potential targets for improving tumor immunotherapy efficacy.
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Affiliation(s)
- Li Zhou
- Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, China
- Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan, China
- Clinical Medical Research Center for Pulmonary and Critical Care Medicine in Hunan Province, Changsha, China
| | - Tiantian Zhao
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ruzhe Zhang
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chen Chen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jiwei Li
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
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Wu Y, Ma J, Yang X, Nan F, Zhang T, Ji S, Rao D, Feng H, Gao K, Gu X, Jiang S, Song G, Pan J, Zhang M, Xu Y, Zhang S, Fan Y, Wang X, Zhou J, Yang L, Fan J, Zhang X, Gao Q. Neutrophil profiling illuminates anti-tumor antigen-presenting potency. Cell 2024; 187:1422-1439.e24. [PMID: 38447573 DOI: 10.1016/j.cell.2024.02.005] [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: 04/11/2023] [Revised: 09/20/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024]
Abstract
Neutrophils, the most abundant and efficient defenders against pathogens, exert opposing functions across cancer types. However, given their short half-life, it remains challenging to explore how neutrophils adopt specific fates in cancer. Here, we generated and integrated single-cell neutrophil transcriptomes from 17 cancer types (225 samples from 143 patients). Neutrophils exhibited extraordinary complexity, with 10 distinct states including inflammation, angiogenesis, and antigen presentation. Notably, the antigen-presenting program was associated with favorable survival in most cancers and could be evoked by leucine metabolism and subsequent histone H3K27ac modification. These neutrophils could further invoke both (neo)antigen-specific and antigen-independent T cell responses. Neutrophil delivery or a leucine diet fine-tuned the immune balance to enhance anti-PD-1 therapy in various murine cancer models. In summary, these data not only indicate the neutrophil divergence across cancers but also suggest therapeutic opportunities such as antigen-presenting neutrophil delivery.
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Affiliation(s)
- Yingcheng Wu
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jiaqiang Ma
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xupeng Yang
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Fang Nan
- Center for Molecular Medicine, Children's Hospital of Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Tiancheng Zhang
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shuyi Ji
- Institute for Regenerative Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University School of Medicine, Shanghai 200123, China
| | - Dongning Rao
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hua Feng
- Center for Molecular Medicine, Children's Hospital of Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Ke Gao
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xixi Gu
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shan Jiang
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Guohe Song
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jiaomeng Pan
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Mao Zhang
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yanan Xu
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shu Zhang
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yihui Fan
- Department of Pathogenic Biology and Basic Medical Research Center, School of Medicine, Nantong University, Nantong 226001, China
| | - Xiaoying Wang
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Li Yang
- Center for Molecular Medicine, Children's Hospital of Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
| | - Jia Fan
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200433, China.
| | - Xiaoming Zhang
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Qiang Gao
- Department of Liver Surgery and Transplantation and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai 200433, China.
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27
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Taniguchi H, Chavan SS, Chow A, Chan JM, Mukae H, Rudin CM, Sen T. Role of CD38 in anti-tumor immunity of small cell lung cancer. Front Immunol 2024; 15:1348982. [PMID: 38533509 PMCID: PMC10963403 DOI: 10.3389/fimmu.2024.1348982] [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: 12/03/2023] [Accepted: 02/26/2024] [Indexed: 03/28/2024] Open
Abstract
Introduction Immune checkpoint blockade (ICB) with or without chemotherapy has a very modest benefit in patients with small cell lung cancer (SCLC). SCLC tumors are characterized by high tumor mutation burden (TMB) and low PD-L1 expression. Therefore, TMB and PD-L1 do not serve as biomarkers of ICB response in SCLC. CD38, a transmembrane glycoprotein, mediates immunosuppression in non-small cell lung cancer (NSCLC). In this brief report, we highlight the potential role of CD38 as a probable biomarker of immunotherapy response in SCLC. Methods We evaluated the role of CD38 as a determinant of tumor immune microenvironment in SCLC with bulk and single-cell transcriptomic analyses and protein assessments of clinical samples and preclinical models, including CD38 in vivo blockade. Results In SCLC clinical samples, CD38 levels were significantly correlated with the gene expression of the immunosuppressive markers FOXP3, PD-1 and CTLA-4. CD38 expression was significantly enhanced after chemotherapy and ICB treatment in SCLC preclinical models and clinical samples. A combination of cisplatin/etoposide, ICB, and CD38 blockade delayed tumor growth compared to cisplatin/etoposide. Conclusion Our study provides a preliminary but important direction toward exploring CD38 as a potential biomarker of ICB response and CD38 blockade as a combination strategy for chemo-immunotherapy in SCLC.
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Affiliation(s)
- Hirokazu Taniguchi
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Shweta S. Chavan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Andrew Chow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Joseph M. Chan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Hiroshi Mukae
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Charles M. Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Weill Cornell Medical College, New York, NY, United States
| | - Triparna Sen
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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28
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Nabet BY, Hamidi H, Lee MC, Banchereau R, Morris S, Adler L, Gayevskiy V, Elhossiny AM, Srivastava MK, Patil NS, Smith KA, Jesudason R, Chan C, Chang PS, Fernandez M, Rost S, McGinnis LM, Koeppen H, Gay CM, Minna JD, Heymach JV, Chan JM, Rudin CM, Byers LA, Liu SV, Reck M, Shames DS. Immune heterogeneity in small-cell lung cancer and vulnerability to immune checkpoint blockade. Cancer Cell 2024; 42:429-443.e4. [PMID: 38366589 DOI: 10.1016/j.ccell.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/02/2023] [Accepted: 01/23/2024] [Indexed: 02/18/2024]
Abstract
Atezolizumab (anti-PD-L1), combined with carboplatin and etoposide (CE), is now a standard of care for extensive-stage small-cell lung cancer (ES-SCLC). A clearer understanding of therapeutically relevant SCLC subsets could identify rational combination strategies and improve outcomes. We conduct transcriptomic analyses and non-negative matrix factorization on 271 pre-treatment patient tumor samples from IMpower133 and identify four subsets with general concordance to previously reported SCLC subtypes (SCLC-A, -N, -P, and -I). Deeper investigation into the immune heterogeneity uncovers two subsets with differing neuroendocrine (NE) versus non-neuroendocrine (non-NE) phenotypes, demonstrating immune cell infiltration hallmarks. The NE tumors with low tumor-associated macrophage (TAM) but high T-effector signals demonstrate longer overall survival with PD-L1 blockade and CE versus CE alone than non-NE tumors with high TAM and high T-effector signal. Our study offers a clinically relevant approach to discriminate SCLC patients likely benefitting most from immunotherapies and highlights the complex mechanisms underlying immunotherapy responses.
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Affiliation(s)
| | | | | | | | | | - Leah Adler
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Velimir Gayevskiy
- Genentech Inc., South San Francisco CA, USA; Rancho Biosciences, San Diego, CA, USA
| | | | | | | | | | | | - Caleb Chan
- Genentech Inc., South San Francisco CA, USA
| | | | | | | | | | | | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John D Minna
- Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, 6000 Harry Hines Blvd., Dallas, TX 75390-8593, USA; Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX 75390, USA; Departments of Internal Medicine and Pharmacology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph M Chan
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10016, USA
| | - Charles M Rudin
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10016, USA; Weill Cornell Medical College, New York, NY 10065, USA
| | - Lauren A Byers
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen V Liu
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Martin Reck
- Lung Clinic Grosshansdorf, Airway Research Center North, German Center of Lung Research, Grosshansdorf, Germany
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29
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de Souza N, Zhao S, Bodenmiller B. Multiplex protein imaging in tumour biology. Nat Rev Cancer 2024; 24:171-191. [PMID: 38316945 DOI: 10.1038/s41568-023-00657-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2023] [Indexed: 02/07/2024]
Abstract
Tissue imaging has become much more colourful in the past decade. Advances in both experimental and analytical methods now make it possible to image protein markers in tissue samples in high multiplex. The ability to routinely image 40-50 markers simultaneously, at single-cell or subcellular resolution, has opened up new vistas in the study of tumour biology. Cellular phenotypes, interaction, communication and spatial organization have become amenable to molecular-level analysis, and application to patient cohorts has identified clinically relevant cellular and tissue features in several cancer types. Here, we review the use of multiplex protein imaging methods to study tumour biology, discuss ongoing attempts to combine these approaches with other forms of spatial omics, and highlight challenges in the field.
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Affiliation(s)
- Natalie de Souza
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Systems Biology, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland
| | - Shan Zhao
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland
| | - Bernd Bodenmiller
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland.
- ETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.
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30
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Liu W, Li W, Zhao Z. Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients. Mol Cancer Res 2024; 22:240-253. [PMID: 38063850 PMCID: PMC10922768 DOI: 10.1158/1541-7786.mcr-23-0692] [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: 08/27/2023] [Revised: 11/09/2023] [Accepted: 12/06/2023] [Indexed: 01/07/2024]
Abstract
Coronavirus disease 2019 (COVID-19) and cancer are major health threats, and individuals may develop both simultaneously. Recent studies have indicated that patients with cancer are particularly vulnerable to COVID-19, but the molecular mechanisms underlying the associations remain poorly understood. To address this knowledge gap, we collected single-cell RNA-sequencing data from COVID-19, lung adenocarcinoma, small cell lung carcinoma patients, and normal lungs to perform an integrated analysis. We characterized altered cell populations, gene expression, and dysregulated intercellular communication in diseases. Our analysis identified pathologic conditions shared by COVID-19 and lung cancer, including upregulated TMPRSS2 expression in epithelial cells, stronger inflammatory responses mediated by macrophages, increased T-cell response suppression, and elevated fibrosis risk by pathologic fibroblasts. These pre-existing conditions in patients with lung cancer may lead to more severe inflammation, fibrosis, and weakened adaptive immune response upon COVID-19 infection. Our findings revealed potential molecular mechanisms driving an increased COVID-19 risk in patients with lung cancer and suggested preventive and therapeutic targets for COVID-19 in this population. IMPLICATIONS Our work reveals the potential molecular mechanisms contributing to the vulnerability to COVID-19 in patients with lung cancer.
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Affiliation(s)
- Wendao Liu
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Wenbo Li
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Department of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Zhongming Zhao
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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Tiwari A, Kumari B, Nandagopal S, Mishra A, Shukla KK, Kumar A, Dutt N, Ahirwar DK. Promises of Protein Kinase Inhibitors in Recalcitrant Small-Cell Lung Cancer: Recent Scenario and Future Possibilities. Cancers (Basel) 2024; 16:963. [PMID: 38473324 DOI: 10.3390/cancers16050963] [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: 01/04/2024] [Revised: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
SCLC is refractory to conventional therapies; targeted therapies and immunological checkpoint inhibitor (ICI) molecules have prolonged survival only marginally. In addition, ICIs help only a subgroup of SCLC patients. Different types of kinases play pivotal roles in therapeutics-driven cellular functions. Therefore, there is a significant need to understand the roles of kinases in regulating therapeutic responses, acknowledge the existing knowledge gaps, and discuss future directions for improved therapeutics for recalcitrant SCLC. Here, we extensively review the effect of dysregulated kinases in SCLC. We further discuss the pharmacological inhibitors of kinases used in targeted therapies for recalcitrant SCLC. We also describe the role of kinases in the ICI-mediated activation of antitumor immune responses. Finally, we summarize the clinical trials evaluating the potential of kinase inhibitors and ICIs. This review overviews dysregulated kinases in SCLC and summarizes their potential as targeted therapeutic agents. We also discuss their clinical efficacy in enhancing anticancer responses mediated by ICIs.
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Affiliation(s)
- Aniket Tiwari
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, Rajasthan, India
| | - Beauty Kumari
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, Rajasthan, India
| | - Srividhya Nandagopal
- Department of Biochemistry, All India Institute of Medical Sciences Jodhpur, Jodhpur 342005, Rajasthan, India
| | - Amit Mishra
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, Rajasthan, India
| | - Kamla Kant Shukla
- Department of Biochemistry, All India Institute of Medical Sciences Jodhpur, Jodhpur 342005, Rajasthan, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences (AIIMS) Bhopal, Saket Nagar, Bhopal 462020, Madhya Pradesh, India
| | - Naveen Dutt
- Department of Pulmonary Medicine, All India Institute of Medical Sciences Jodhpur, Jodhpur 342005, Rajasthan, India
| | - Dinesh Kumar Ahirwar
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur, Jodhpur 342030, Rajasthan, India
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Catozzi A, Peiris-Pagès M, Humphrey S, Revill M, Morgan D, Roebuck J, Chen Y, Davies-Williams B, Lallo A, Galvin M, Pearce SP, Kerr A, Priest L, Foy V, Carter M, Caeser R, Chan J, Rudin CM, Blackhall F, Frese KK, Dive C, Simpson KL. Functional Characterisation of the ATOH1 Molecular Subtype Indicates a Pro-Metastatic Role in Small Cell Lung Cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.16.580247. [PMID: 38405859 PMCID: PMC10888785 DOI: 10.1101/2024.02.16.580247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Molecular subtypes of Small Cell Lung Cancer (SCLC) have been described based on differential expression of transcription factors (TFs) ASCL1, NEUROD1, POU2F3 and immune-related genes. We previously reported an additional subtype based on expression of the neurogenic TF ATOH1 within our SCLC Circulating tumour cell-Derived eXplant (CDX) model biobank. Here we show that ATOH1 protein was detected in 7/81 preclinical models and 16/102 clinical samples of SCLC. In CDX models, ATOH1 directly regulated neurogenesis and differentiation programs consistent with roles in normal tissues. In ex vivo cultures of ATOH1-positive CDX, ATOH1 was required for cell survival. In vivo, ATOH1 depletion slowed tumour growth and suppressed liver metastasis. Our data validate ATOH1 as a bona fide oncogenic driver of SCLC with tumour cell survival and pro-metastatic functions. Further investigation to explore ATOH1 driven vulnerabilities for targeted treatment with predictive biomarkers is warranted.
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Affiliation(s)
- Alessia Catozzi
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Maria Peiris-Pagès
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Sam Humphrey
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Mitchell Revill
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Derrick Morgan
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Jordan Roebuck
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Yitao Chen
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Bethan Davies-Williams
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Alice Lallo
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Melanie Galvin
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Simon P Pearce
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Alastair Kerr
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Lynsey Priest
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
- Medical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Victoria Foy
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Medical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Mathew Carter
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
- Medical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Rebecca Caeser
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Joseph Chan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Charles M. Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Fiona Blackhall
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Medical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Kristopher K Frese
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Caroline Dive
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
| | - Kathryn L Simpson
- Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, United Kingdom
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Gardner EE, Earlie EM, Li K, Thomas J, Hubisz MJ, Stein BD, Zhang C, Cantley LC, Laughney AM, Varmus H. Lineage-specific intolerance to oncogenic drivers restricts histological transformation. Science 2024; 383:eadj1415. [PMID: 38330136 PMCID: PMC11155264 DOI: 10.1126/science.adj1415] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 12/08/2023] [Indexed: 02/10/2024]
Abstract
Lung adenocarcinoma (LUAD) and small cell lung cancer (SCLC) are thought to originate from different epithelial cell types in the lung. Intriguingly, LUAD can histologically transform into SCLC after treatment with targeted therapies. In this study, we designed models to follow the conversion of LUAD to SCLC and found that the barrier to histological transformation converges on tolerance to Myc, which we implicate as a lineage-specific driver of the pulmonary neuroendocrine cell. Histological transformations are frequently accompanied by activation of the Akt pathway. Manipulating this pathway permitted tolerance to Myc as an oncogenic driver, producing rare, stem-like cells that transcriptionally resemble the pulmonary basal lineage. These findings suggest that histological transformation may require the plasticity inherent to the basal stem cell, enabling tolerance to previously incompatible oncogenic driver programs.
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Affiliation(s)
| | - Ethan M. Earlie
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, New York, NY
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Kate Li
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
| | - Jerin Thomas
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
| | - Melissa J. Hubisz
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, New York, NY
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
- Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY
| | - Benjamin D. Stein
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Medicine, Weill Cornell Medicine
| | - Chen Zhang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Lewis C. Cantley
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Medicine, Weill Cornell Medicine
| | - Ashley M. Laughney
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, New York, NY
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Harold Varmus
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
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Li Y, Jiang M, Aye L, Luo L, Zhang Y, Xu F, Wei Y, Peng D, He X, Gu J, Yu X, Li G, Ge D, Lu C. UPP1 promotes lung adenocarcinoma progression through the induction of an immunosuppressive microenvironment. Nat Commun 2024; 15:1200. [PMID: 38331898 PMCID: PMC10853547 DOI: 10.1038/s41467-024-45340-w] [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: 02/08/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
The complexity of the tumor microenvironment (TME) is a crucial factor in lung adenocarcinoma (LUAD) progression. To gain deeper insights into molecular mechanisms of LUAD, we perform an integrative single-cell RNA sequencing (scRNA-seq) data analysis of 377,574 cells from 117 LUAD patient samples. By linking scRNA-seq data with bulk gene expression data, we identify a cluster of prognostic-related UPP1high tumor cells. These cells, primarily situated at the invasive front of tumors, display a stronger association with the immunosuppressive components in the TME. Our cytokine array analysis reveals that the upregulation of UPP1 in tumor cells leads to the increased release of various immunosuppressive cytokines, with TGF-β1 being particularly prominent. Furthermore, this UPP1 upregulation also elevates the expression of PD-L1 through the PI3K/AKT/mTOR pathway, which contributes to the suppression of CD8 + T cells. Cytometry by time-of-flight (CyTOF) analysis provides additional evidence of the role of UPP1 in shaping the immunosuppressive nature of the TME. Using patient-derived organoids (PDOs), we discover that UPP1high tumors exhibit relatively increased sensitivity to Bosutinib and Dasatinib. Collectively, our study highlights the immunosuppressive role of UPP1 in LUAD, and these findings may provide insights into the molecular features of LUAD and facilitate the development of personalized treatment strategies.
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Affiliation(s)
- Yin Li
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Manling Jiang
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, 610031, Sichuan, China
| | - Ling Aye
- Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Li Luo
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, 610031, Sichuan, China
| | - Yong Zhang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Fengkai Xu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yongqi Wei
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Dan Peng
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, 610031, Sichuan, China
| | - Xiang He
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, 610031, Sichuan, China
| | - Jie Gu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xiaofang Yu
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Guoping Li
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, 610031, Sichuan, China.
| | - Di Ge
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Chunlai Lu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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35
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Yang W, Liu S, Mao M, Gong Y, Li X, Lei T, Liu C, Wu S, Hu Q. T-cell infiltration and its regulatory mechanisms in cancers: insights at single-cell resolution. J Exp Clin Cancer Res 2024; 43:38. [PMID: 38303018 PMCID: PMC10835979 DOI: 10.1186/s13046-024-02960-w] [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: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
Tumor-infiltrating T cells recognize, attack, and clear tumor cells, playing a central role in antitumor immune response. However, certain immune cells can impair this response and help tumor immune escape. Therefore, exploring the factors that influence T-cell infiltration is crucial to understand tumor immunity and improve therapeutic effect of cancer immunotherapy. The use of single-cell RNA sequencing (scRNA-seq) allows the high-resolution analysis of the precise composition of immune cells with different phenotypes and other microenvironmental factors, including non-immune stromal cells and the related molecules in the tumor microenvironment of various cancer types. In this review, we summarized the research progress on T-cell infiltration and the crosstalk of other stromal cells and cytokines during T-cell infiltration using scRNA-seq to provide insights into the mechanisms regulating T-cell infiltration and contribute new perspectives on tumor immunotherapy.
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Affiliation(s)
- Wenhui Yang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Shimao Liu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Mengyun Mao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Xiaohui Li
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Shikai Wu
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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36
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Trinks A, Milek M, Beule D, Kluge J, Florian S, Sers C, Horst D, Morkel M, Bischoff P. Robust detection of clinically relevant features in single-cell RNA profiles of patient-matched fresh and formalin-fixed paraffin-embedded (FFPE) lung cancer tissue. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00922-0. [PMID: 38300468 DOI: 10.1007/s13402-024-00922-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/23/2024] [Indexed: 02/02/2024] Open
Abstract
PURPOSE Single-cell transcriptional profiling reveals cell heterogeneity and clinically relevant traits in intra-operatively collected patient-derived tissue. So far, single-cell studies have been constrained by the requirement for prospectively collected fresh or cryopreserved tissue. This limitation might be overcome by recent technical developments enabling single-cell analysis of FFPE tissue. METHODS We benchmark single-cell profiles from patient-matched fresh, cryopreserved and archival FFPE cancer tissue. RESULTS We find that fresh tissue and FFPE routine blocks can be employed for the robust detection of clinically relevant traits on the single-cell level. Specifically, single-cell maps of fresh patient tissues and corresponding FFPE tissue blocks could be integrated into common low-dimensional representations, and cell subtype clusters showed highly correlated transcriptional strengths of signaling pathway, hallmark, and clinically useful signatures, although expression of single genes varied due to technological differences. FFPE tissue blocks revealed higher cell diversity compared to fresh tissue. In contrast, single-cell profiling of cryopreserved tissue was prone to artifacts in the clinical setting. CONCLUSION Our analysis highlights the potential of single-cell profiling in the analysis of retrospectively and prospectively collected archival pathology cohorts and increases the applicability in translational research.
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Affiliation(s)
- Alexandra Trinks
- Bioportal Single Cells, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Miha Milek
- Core Unit Bioinformatics (CUBI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Dieter Beule
- Core Unit Bioinformatics (CUBI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Julie Kluge
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Stefan Florian
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Christine Sers
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Partner Site Berlin, Heidelberg, Germany
| | - David Horst
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Partner Site Berlin, Heidelberg, Germany
| | - Markus Morkel
- Bioportal Single Cells, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Partner Site Berlin, Heidelberg, Germany.
| | - Philip Bischoff
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
- BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
- German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Partner Site Berlin, Heidelberg, Germany.
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37
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Liu W, Wang H, Zhao Q, Tao C, Qu W, Hou Y, Huang R, Sun Z, Zhu G, Jiang X, Fang Y, Gao J, Wu X, Yang Z, Ping R, Chen J, Yang R, Chu T, Zhou J, Fan J, Tang Z, Yang D, Shi Y. Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma. Cancer Commun (Lond) 2024; 44:226-250. [PMID: 38143235 PMCID: PMC10876206 DOI: 10.1002/cac2.12513] [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: 07/04/2023] [Revised: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Intrahepatic cholangiocarcinoma (iCCA) is a highly heterogeneous and lethal hepatobiliary tumor with few therapeutic strategies. The metabolic reprogramming of tumor cells plays an essential role in the development of tumors, while the metabolic molecular classification of iCCA is largely unknown. Here, we performed an integrated multiomics analysis and metabolic classification to depict differences in metabolic characteristics of iCCA patients, hoping to provide a novel perspective to understand and treat iCCA. METHODS We performed integrated multiomics analysis in 116 iCCA samples, including whole-exome sequencing, bulk RNA-sequencing and proteome analysis. Based on the non-negative matrix factorization method and the protein abundance of metabolic genes in human genome-scale metabolic models, the metabolic subtype of iCCA was determined. Survival and prognostic gene analyses were used to compare overall survival (OS) differences between metabolic subtypes. Cell proliferation analysis, 5-ethynyl-2'-deoxyuridine (EdU) assay, colony formation assay, RNA-sequencing and Western blotting were performed to investigate the molecular mechanisms of diacylglycerol kinase α (DGKA) in iCCA cells. RESULTS Three metabolic subtypes (S1-S3) with subtype-specific biomarkers of iCCA were identified. These metabolic subtypes presented with distinct prognoses, metabolic features, immune microenvironments, and genetic alterations. The S2 subtype with the worst survival showed the activation of some special metabolic processes, immune-suppressed microenvironment and Kirsten rat sarcoma viral oncogene homolog (KRAS)/AT-rich interactive domain 1A (ARID1A) mutations. Among the S2 subtype-specific upregulated proteins, DGKA was further identified as a potential drug target for iCCA, which promoted cell proliferation by enhancing phosphatidic acid (PA) metabolism and activating mitogen-activated protein kinase (MAPK) signaling. CONCLUSION Via multiomics analyses, we identified three metabolic subtypes of iCCA, revealing that the S2 subtype exhibited the poorest survival outcomes. We further identified DGKA as a potential target for the S2 subtype.
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Affiliation(s)
- Weiren Liu
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Huqiang Wang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Qianfu Zhao
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Chenyang Tao
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Weifeng Qu
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Yushan Hou
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Run Huang
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Zimei Sun
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Guiqi Zhu
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Xifei Jiang
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Yuan Fang
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Jun Gao
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Xiaoling Wu
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Zhixiang Yang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Rongyu Ping
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Jiafeng Chen
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Rui Yang
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Tianhao Chu
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Jian Zhou
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Jia Fan
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Zheng Tang
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
| | - Dong Yang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeomicsBeijingP. R. China
| | - Yinghong Shi
- Department of Liver Surgery and TransplantationLiver Cancer Institute, Zhongshan HospitalFudan UniversityKey Laboratory of Carcinogenesis and Cancer Invasion of Ministry of EducationShanghaiP. R. China
- Research Unit of Liver cancer Recurrence and Metastasis, Chinese Academy of Medical SciencesBeijingP. R. China
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Lorenzi M, Resi MV, Bonanno L, Frega S, Dal Maso A, Ferro A, Guarneri V, Pasello G. Tissue and circulating biomarkers of benefit to immunotherapy in extensive-stage small cell lung cancer patients. Front Immunol 2024; 15:1308109. [PMID: 38348046 PMCID: PMC10859471 DOI: 10.3389/fimmu.2024.1308109] [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: 10/05/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Extensive stage-Small-Cell Lung Cancer (ES-SCLC) is an aggressive cancer with dismal prognosis. The addition of immune-checkpoint inhibitors (ICIs) to platinum-based chemotherapy have been consistently demonstrated to improve outcomes and survival, becoming the new standard in first - line treatment of ES-SCLC patients. However, despite positive results reported in the pivotal trials, longer benefit appears evident only for a selected group of patients. Several predictive biomarkers have been studied so far but the prospective identification of patients more likely to experience better outcome seems to be challenging in SCLC. Indeed, classical immune predictive biomarkers as PD-L1 and tumor mutational burden (TMB) seem not to correlate with outcomes. Recently, a new molecular classification of SCLC based on differential expression of genes associated with specific clinical behaviors and therapeutic vulnerability have been presented suggesting a new field to be investigated. Despite the achievements, these studies focused mainly on inter-tumoral heterogeneity, limiting the exploration of intra-tumoral heterogeneity and cell to cell interactions. New analysis methods are ongoing in order to explore subtypes plasticity. Analysis on single biopsies cannot catch the whole genomic profile and dynamic change of disease over time and during treatment. Moreover, the availability of tissue for translational research is limited due to the low proportion of patients undergoing surgery. In this context, liquid biopsy is a promising tool to detect reliable predictive biomarkers. Here, we reviewed the current available data on predictive role of tissue and liquid biomarkers in ES-SCLC patients receiving ICIs. We assessed latest results in terms of predictive and prognostic value of gene expression profiling in SCLC. Finally, we explored the role of liquid biopsy as a tool to monitor SCLC patients over time.
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Affiliation(s)
- Martina Lorenzi
- Department of Medical Oncology, Santa Chiara Hospital, Trento, Italy
| | - Maria Vittoria Resi
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
- Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy
| | - Laura Bonanno
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
| | - Stefano Frega
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
| | - Alessandro Dal Maso
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
| | - Alessandra Ferro
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
| | - Valentina Guarneri
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
- Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy
| | - Giulia Pasello
- Division of Medical Oncology 2, Veneto Institute of Oncology - IRCCS, Padova, Italy
- Department of Surgery, Oncology, and Gastroenterology, University of Padova, Padova, Italy
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Wang J, Zhu N, Su X, Gao Y, Yang R. Novel tumor-associated macrophage populations and subpopulations by single cell RNA sequencing. Front Immunol 2024; 14:1264774. [PMID: 38347955 PMCID: PMC10859433 DOI: 10.3389/fimmu.2023.1264774] [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: 07/21/2023] [Accepted: 11/30/2023] [Indexed: 02/15/2024] Open
Abstract
Tumor-associated macrophages (TAMs) are present in almost all solid tumor tissues. 16They play critical roles in immune regulation, tumor angiogenesis, tumor stem cell activation, tumor invasion and metastasis, and resistance to therapy. However, it is unclear how TAMs perform these functions. With the application of single-cell RNA sequencing (scRNA-seq), it has become possible to identify TAM subpopulations associated with distinct functions. In this review, we discuss four novel TAM subpopulations in distinct solid tumors based on core gene signatures by scRNA-seq, including FCN1 +, SPP1 +, C1Q + and CCL18 + TAMs. Functional enrichment and gene expression in scRNA-seq data from different solid tumor tissues found that FCN1 + TAMs may induce inflammation; SPP1 + TAMs are potentially involved in metastasis, angiogenesis, and cancer cell stem cell activation, whereas C1Q + TAMs participate in immune regulation and suppression; And CCL18 + cells are terminal immunosuppressive macrophages that not only have a stronger immunosuppressive function but also enhance tumor metastasis. SPP1 + and C1Q + TAM subpopulations can be further divided into distinct populations with different functions. Meanwhile, we will also present emerging evidence highlighting the separating macrophage subpopulations associated with distinct functions. However, there exist the potential disconnects between cell types and subpopulations identified by scRNA-seq and their actual function.
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Affiliation(s)
- Juanjuan Wang
- Translational Medicine Institute, Affiliated Tianjin Union Medical Center of Nankai University, Nankai University, Tianjin, China
- Department of Immunology, Nankai University School of Medicine, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
| | - Ningning Zhu
- Translational Medicine Institute, Affiliated Tianjin Union Medical Center of Nankai University, Nankai University, Tianjin, China
- Department of Immunology, Nankai University School of Medicine, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
| | - Xiaomin Su
- Translational Medicine Institute, Affiliated Tianjin Union Medical Center of Nankai University, Nankai University, Tianjin, China
- Department of Immunology, Nankai University School of Medicine, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
| | - Yunhuan Gao
- Translational Medicine Institute, Affiliated Tianjin Union Medical Center of Nankai University, Nankai University, Tianjin, China
- Department of Immunology, Nankai University School of Medicine, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
| | - Rongcun Yang
- Translational Medicine Institute, Affiliated Tianjin Union Medical Center of Nankai University, Nankai University, Tianjin, China
- Department of Immunology, Nankai University School of Medicine, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
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Xagara A, Roumeliotou A, Kokkalis A, Tsapakidis K, Papakonstantinou D, Papadopoulos V, Samaras I, Chantzara E, Kallergi G, Kotsakis A. ES-SCLC Patients with PD-L1 + CTCs and High Percentages of CD8 +PD-1 +T Cells in Circulation Benefit from Front-Line Immunotherapy Treatment. Biomedicines 2024; 12:146. [PMID: 38255251 PMCID: PMC10813758 DOI: 10.3390/biomedicines12010146] [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: 12/06/2023] [Revised: 12/29/2023] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
SCLC is an aggressive cancer type with high metastatic potential and bad prognosis. CTCs are a valuable source of tumor cells in blood circulation and are among the major contributors to metastasis. In this study we evaluated the number of CTCs that express PD-L1 in treatment-naïve ES-SCLC patients receiving ICI in a front-line setting. Moreover, we explored the percentages of different immune T-cell subsets in circulation to assess their potential role in predicting responses. A total of 43 patients were enrolled-6 of them with LS-SCLC, and 37 with ES-SCLC disease. In addition, PBMCs from 10 healthy donors were used as a control group. Different T-cell subtypes were examined through multicolor FACS analysis and patients' CTCs were detected using immunofluorescence staining. SCLC patients had higher percentages of PD-1-expressing CD3+CD4+ and CD3+CD8+ T-cells, as well as elevated PD-1 protein expression compared to healthy individuals. Additionally, in ES-SCLC patients, a positive correlation between CD3+CD8+PD-1+ T-cells and PD-L1+ CTCs was detected. Importantly, patients harboring higher numbers of CD3+CD8+PD-1+ T-cells together with PD-L1+CTCs had a survival advantage when receiving front-line immunotherapy. Thus, this study proposes, for first time possible, immune cell-CTCs interaction, as well as a potential novel clinical biomarker for ICI responses in ES-SCLC patients.
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Affiliation(s)
- Anastasia Xagara
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
| | - Argyro Roumeliotou
- Laboratory of Biochemistry/Metastatic Signaling, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, GR-26504 Patras, Greece; (A.R.); (D.P.); (G.K.)
| | - Alexandros Kokkalis
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
| | - Konstantinos Tsapakidis
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
| | - Dimitris Papakonstantinou
- Laboratory of Biochemistry/Metastatic Signaling, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, GR-26504 Patras, Greece; (A.R.); (D.P.); (G.K.)
| | - Vassilis Papadopoulos
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
| | - Ioannis Samaras
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
| | - Evagelia Chantzara
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
| | - Galatea Kallergi
- Laboratory of Biochemistry/Metastatic Signaling, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, GR-26504 Patras, Greece; (A.R.); (D.P.); (G.K.)
| | - Athanasios Kotsakis
- Laboratory of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, GR-41110 Larissa, Greece; (A.X.); (A.K.); (K.T.); (V.P.); (I.S.); (E.C.)
- Department of Medical Oncology, University General Hospital of Larissa, GR-41110 Larissa, Greece
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Yang Z, Zhang Y, Tang L, Yang X, Song L, Shen C, Zvyagin AV, Li Y, Yang B, Lin Q. "All in one" nanoprobe Au-TTF-1 for target FL/CT bioimaging, machine learning technology and imaging-guided photothermal therapy against lung adenocarcinoma. J Nanobiotechnology 2024; 22:22. [PMID: 38184620 PMCID: PMC10770976 DOI: 10.1186/s12951-023-02280-9] [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: 11/04/2023] [Accepted: 12/19/2023] [Indexed: 01/08/2024] Open
Abstract
The accurate preoperative diagnosis and tracking of lung adenocarcinoma is hindered by non-targeting and diffusion of dyes used for marking tumors. Hence, there is an urgent need to develop a practical nanoprobe for tracing lung adenocarcinoma precisely even treating them noninvasively. Herein, Gold nanoclusters (AuNCs) conjugate with thyroid transcription factor-1 (TTF-1) antibody, then multifunctional nanoprobe Au-TTF-1 is designed and synthesized, which underscores the paramount importance of advancing the machine learning diagnosis and bioimaging-guided treatment of lung adenocarcinoma. Bright fluorescence (FL) and strong CT signal of Au-TTF-1 set the stage for tracking. Furthermore, the high specificity of TTF-1 antibody facilitates selective targeting of lung adenocarcinoma cells as compared to common lung epithelial cells, so machine learning software Lung adenocarcinoma auxiliary detection system was designed, which combined with Au-TTF-1 to assist the intelligent recognition of lung adenocarcinoma jointly. Besides, Au-TTF-1 not only contributes to intuitive and targeted visualization, but also guides the following noninvasive photothermal treatment. The boundaries of tumor are light up by Au-TTF-1 for navigation, it penetrates into tumor and implements noninvasive photothermal treatment, resulting in ablating tumors in vivo locally. Above all, Au-TTF-1 serves as a key platform for target bio-imaging navigation, machine learning diagnosis and synergistic PTT as a single nanoprobe, which demonstrates attractive performance on lung adenocarcinoma.
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Affiliation(s)
- Zhe Yang
- State Key Laboratory of Supramolecular Structure and Material, College of Chemistry, Jilin University, Changchun, 130012, China
| | - Yujia Zhang
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, 130021, China
| | - Lu Tang
- Department of Breast, China-Japan Union Hospital of Jilin University, Changchun, 130031, China
| | - Xiao Yang
- College of Computer Science and Technology Jilin University, Changchun, 130012, China
| | - Lei Song
- Department of Breast, China-Japan Union Hospital of Jilin University, Changchun, 130031, China
| | - Chun Shen
- College of Computer Science and Technology Jilin University, Changchun, 130012, China
| | - Andrei V Zvyagin
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, 2109, Australia
| | - Yang Li
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, 130021, China.
| | - Bai Yang
- State Key Laboratory of Supramolecular Structure and Material, College of Chemistry, Jilin University, Changchun, 130012, China
| | - Quan Lin
- State Key Laboratory of Supramolecular Structure and Material, College of Chemistry, Jilin University, Changchun, 130012, China.
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Liu Q, Zhang J, Guo C, Wang M, Wang C, Yan Y, Sun L, Wang D, Zhang L, Yu H, Hou L, Wu C, Zhu Y, Jiang G, Zhu H, Zhou Y, Fang S, Zhang T, Hu L, Li J, Liu Y, Zhang H, Zhang B, Ding L, Robles AI, Rodriguez H, Gao D, Ji H, Zhou H, Zhang P. Proteogenomic characterization of small cell lung cancer identifies biological insights and subtype-specific therapeutic strategies. Cell 2024; 187:184-203.e28. [PMID: 38181741 DOI: 10.1016/j.cell.2023.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 09/25/2023] [Accepted: 12/01/2023] [Indexed: 01/07/2024]
Abstract
We performed comprehensive proteogenomic characterization of small cell lung cancer (SCLC) using paired tumors and adjacent lung tissues from 112 treatment-naive patients who underwent surgical resection. Integrated multi-omics analysis illustrated cancer biology downstream of genetic aberrations and highlighted oncogenic roles of FAT1 mutation, RB1 deletion, and chromosome 5q loss. Two prognostic biomarkers, HMGB3 and CASP10, were identified. Overexpression of HMGB3 promoted SCLC cell migration via transcriptional regulation of cell junction-related genes. Immune landscape characterization revealed an association between ZFHX3 mutation and high immune infiltration and underscored a potential immunosuppressive role of elevated DNA damage response activity via inhibition of the cGAS-STING pathway. Multi-omics clustering identified four subtypes with subtype-specific therapeutic vulnerabilities. Cell line and patient-derived xenograft-based drug tests validated the specific therapeutic responses predicted by multi-omics subtyping. This study provides a valuable resource as well as insights to better understand SCLC biology and improve clinical practice.
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Affiliation(s)
- Qian Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China; Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Jing Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Chenchen Guo
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mengcheng Wang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yilv Yan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Liangdong Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Di Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Lele Zhang
- Central Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Huansha Yu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Likun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Yuming Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | - Hongwen Zhu
- Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Yanting Zhou
- Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Shanhua Fang
- Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Tengfei Zhang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liang Hu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Junqiang Li
- D1 Medical Technology, Shanghai 201800, China
| | - Yansheng Liu
- Cancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Li Ding
- Department of Medicine, McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Daming Gao
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
| | - Hongbin Ji
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 200120, China.
| | - Hu Zhou
- Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.
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Popper H, Brcic L, Eidenhammer S. Does subtyping of high-grade pulmonary neuroendocrine carcinomas have an impact on therapy selection? Transl Lung Cancer Res 2023; 12:2412-2426. [PMID: 38205203 PMCID: PMC10775006 DOI: 10.21037/tlcr-23-505] [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: 08/03/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024]
Abstract
Background Small cell lung cancer (SCLC) and large cell neuroendocrine carcinomas (LCNEC) are characterized by a rapid progressive course. Therapy for SCLC has not much changed for decades, and in LCNEC controversies exist, favoring either SCLC-like or non-small cell lung cancer (NSCLC)-like therapy. Three subtypes of SCLC identified in cell cultures, namely ASCL1, NeuroD1, and POU2F3 have been confirmed by immunohistochemistry. The fourth type based on the expression of YAP1 was questioned, and another type, inflamed SCLC, was proposed. Methods SCLC and LCNEC samples were investigated by immunohistochemistry for different subtypes. Additionally, immunohistochemical markers as potential tools to identify patients who might respond to targeted treatment were investigated. For validation a biopsy set was added. Results ASCL1, NeuroD1, and POU2F3 were expressed in different percentages in SCLC and LCNEC. Similar percentages of expression were found in biopsies. ATOH was expressed in combination with one of the subtypes. YAP1 and TAZ were expressed in some SCLC and LCNEC cases. HES1 expression was seen in few cases. Predominantly stroma cells expressed programmed cell death ligand 1 (PD-L1). The dominant MYC protein was N-MYC. Aurora kinase A (AURKA) was expressed in the majority of both carcinomas, whereas fibroblast growth factor receptor 2 (FGFR2) in few. Conclusions SCLC and LCNEC can be subtyped into ASCL1-, NeuroD1-, and POU2F3-positive types. AURKA expression and positivity for N-MYC protein was not associated with subtypes. AURKA and FGFR2 are both possible targets for inhibition in SCLC and LCNEC, but patients' selection should be based on expression of the enzyme. Combined chemo- and immunotherapy might be decided by PD-L1 staining of stroma cells.
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Affiliation(s)
| | - Luka Brcic
- D&F Institute of Pathology, Medical University of Graz, Graz, Austria
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Chai K, Wang C, Zhou J, Mu W, Gao M, Fan Z, Lv G. Quenching thirst with poison? Paradoxical effect of anticancer drugs. Pharmacol Res 2023; 198:106987. [PMID: 37949332 DOI: 10.1016/j.phrs.2023.106987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023]
Abstract
Anticancer drugs have been developed with expectations to provide long-term or at least short-term survival benefits for patients with cancer. Unfortunately, drug therapy tends to provoke malignant biological and clinical behaviours of cancer cells relating not only to the evolution of resistance to specific drugs but also to the enhancement of their proliferation and metastasis abilities. Thus, drug therapy is suspected to impair long-term survival in treated patients under certain circumstances. The paradoxical therapeutic effects could be described as 'quenching thirst with poison', where temporary relief is sought regardless of the consequences. Understanding the underlying mechanisms by which tumours react on drug-induced stress to maintain viability is crucial to develop rational targeting approaches which may optimize survival in patients with cancer. In this review, we describe the paradoxical adverse effects of anticancer drugs, in particular how cancer cells complete resistance evolution, enhance proliferation, escape from immune surveillance and metastasize efficiently when encountered with drug therapy. We also describe an integrative therapeutic framework that may diminish such paradoxical effects, consisting of four main strategies: (1) targeting endogenous stress response pathways, (2) targeting new identities of cancer cells, (3) adaptive therapy- exploiting subclonal competition of cancer cells, and (4) targeting tumour microenvironment.
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Affiliation(s)
- Kaiyuan Chai
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Chuanlei Wang
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Jianpeng Zhou
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Wentao Mu
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Menghan Gao
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhongqi Fan
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China.
| | - Guoyue Lv
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China.
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Wei Y, Zheng L, Yang X, Luo Y, Yi C, Gou H. Identification of Immune Subtypes and Candidate mRNA Vaccine Antigens in Small Cell Lung Cancer. Oncologist 2023; 28:e1052-e1064. [PMID: 37399175 PMCID: PMC10628581 DOI: 10.1093/oncolo/oyad193] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 06/12/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have demonstrated promising outcomes in small cell lung cancer (SCLC), but not all patients benefit from it. Thus, developing precise treatments for SCLC is a particularly urgent need. In our study, we constructed a novel phenotype for SCLC based on immune signatures. METHODS We clustered patients with SCLC hierarchically in 3 publicly available datasets according to the immune signatures. ESTIMATE and CIBERSORT algorithm were used to evaluate the components of the tumor microenvironment. Moreover, we identified potential mRNA vaccine antigens for patients with SCLC, and qRT-PCR were performed to detect the gene expression. RESULTS We identified 2 SCLC subtypes and named Immunity High (Immunity_H) and Immunity Low (Immunity_L). Meanwhile, we obtained generally consistent results by analyzing different datasets, suggesting that this classification was reliable. Immunity_H contained the higher number of immune cells and a better prognosis compared to Immunity_L. Gene-set enrichment analysis revealed that several immune-related pathways such as cytokine-cytokine receptor interaction, programmed cell death-Ligand 1 expression and programmed cell death-1 checkpoint pathway in cancer were hyperactivated in the Immunity_H. However, most of the pathways enriched in the Immunity_L were not associated with immunity. Furthermore, we identified 5 potential mRNA vaccine antigens of SCLC (NEK2, NOL4, RALYL, SH3GL2, and ZIC2), and they were expressed higher in Immunity_L, it indicated that Immunity_L maybe more suitable for tumor vaccine development. CONCLUSIONS SCLC can be divided into Immunity_H and Immunity_L subtypes. Immunity_H may be more suitable for treatment with ICIs. NEK2, NOL4, RALYL, SH3GL2, and ZIC2 may be act as potential antigens for SCLC.
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Affiliation(s)
- Yuanfeng Wei
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Lingnan Zheng
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Xi Yang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Yong Luo
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Cheng Yi
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Hongfeng Gou
- Gastric Cancer Center, Division of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
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Xu Z, Huang Y, Meese T, Van Nevel S, Holtappels G, Vanhee S, Bröker BM, Li Z, de Meester E, De Ruyck N, Van Zele T, Gevaert P, Van Nieuwerburgh F, Zhang L, Shamji MH, Wen W, Zhang N, Bachert C. The multi-omics single-cell landscape of sinus mucosa in uncontrolled severe chronic rhinosinusitis with nasal polyps. Clin Immunol 2023; 256:109791. [PMID: 37769787 DOI: 10.1016/j.clim.2023.109791] [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: 07/16/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/03/2023]
Abstract
Uncontrolled severe chronic rhinosinusitis with nasal polyps (CRSwNP) is associated with elevated levels of type 2 inflammatory cytokines and raised immunoglobulin concentrations in nasal polyp tissue. By using single-cell RNA sequencing, transcriptomics, surface proteomics, and T cell and B cell receptor sequencing, we found the predominant cell types in nasal polyps were shifted from epithelial and mesenchymal cells to inflammatory cells compared to nasal mucosa from healthy controls. Broad expansions of CD4 T effector memory cells, CD4 tissue-resident memory T cells, CD8 T effector memory cells and all subtypes of B cells in nasal polyp tissues. The T and B cell receptor repertoires were skewed in NP. This study highlights the deviated immune response and remodeling mechanisms that contribute to the pathogenesis of uncontrolled severe CRSwNP. CLINICAL IMPLICATIONS: We identified differences in the cellular compositions, transcriptomes, proteomes, and deviations in the immune profiles of T cell and B cell receptors as well as alterations in the intercellular communications in uncontrolled severe CRSwNP patients versus healthy controls, which might help to define potential therapeutic targets in the future.
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Affiliation(s)
- Zhaofeng Xu
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China; Upper Airway Research Laboratory, Ghent University, Ghent, Belgium
| | - Yanran Huang
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China; Upper Airway Research Laboratory, Ghent University, Ghent, Belgium; Department of Allergy, Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, PR China; Beijing key laboratory of nasal diseases, Beijing Institute of Otolaryngology, Beijing, PR China
| | - Tim Meese
- NXTGNT, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Sharon Van Nevel
- Upper Airway Research Laboratory, Ghent University, Ghent, Belgium
| | | | - Stijn Vanhee
- Upper Airway Research Laboratory, Ghent University, Ghent, Belgium; VIB-UGent, Center for Inflammation Research, Gent 9052, Belgium
| | - Barbara M Bröker
- Institute of Immunology, University Medicine Greifswald, Greifswald, Germany
| | - Zhengqi Li
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China
| | - Ellen de Meester
- NXTGNT, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Natalie De Ruyck
- Upper Airway Research Laboratory, Ghent University, Ghent, Belgium
| | - Thibaut Van Zele
- Upper Airway Research Laboratory, Ghent University, Ghent, Belgium
| | - Philip Gevaert
- Upper Airway Research Laboratory, Ghent University, Ghent, Belgium
| | - Filip Van Nieuwerburgh
- NXTGNT, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Luo Zhang
- Department of Allergy, Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, PR China; Beijing key laboratory of nasal diseases, Beijing Institute of Otolaryngology, Beijing, PR China
| | - Mohamed H Shamji
- National Heart and Lung Institute, Imperial College London, and NIHR Imperial Biomedical Research Centre, United Kingdom
| | - Weiping Wen
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China; The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China.
| | - Nan Zhang
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China; Upper Airway Research Laboratory, Ghent University, Ghent, Belgium.
| | - Claus Bachert
- The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Department of Otorhinolaryngology, International Airway Research Center, Guangzhou, China; Upper Airway Research Laboratory, Ghent University, Ghent, Belgium; Clinic for ENT diseases and head and neck surgery, University Clinic Münster, Münster, Germany; Division of ENT diseases, CLINTEC, Karolinska Institute, Stockholm, Sweden.
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47
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Vanguri RS, Smithy JW, Li Y, Zhuang M, Maher CA, Aleynick N, Peng X, Al-Ahmadie H, Funt SA, Rosenberg JE, Iyer G, Bajorin D, Mathews JC, Nadeem S, Panageas KS, Shen R, Callahan MK, Hollmann TJ. Integration of peripheral blood- and tissue-based biomarkers of response to immune checkpoint blockade in urothelial carcinoma. J Pathol 2023; 261:349-360. [PMID: 37667855 PMCID: PMC11157502 DOI: 10.1002/path.6197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 09/06/2023]
Abstract
As predictive biomarkers of response to immune checkpoint inhibitors (ICIs) remain a major unmet clinical need in patients with urothelial carcinoma (UC), we sought to identify tissue-based immune biomarkers of clinical benefit to ICIs using multiplex immunofluorescence and to integrate these findings with previously identified peripheral blood biomarkers of response. Fifty-five pretreatment and 12 paired on-treatment UC specimens were identified from patients treated with nivolumab with or without ipilimumab. Whole tissue sections were stained with a 12-plex mIF panel, including CD8, PD-1/CD279, PD-L1/CD274, CD68, CD3, CD4, FoxP3, TCF1/7, Ki67, LAG-3, MHC-II/HLA-DR, and pancytokeratin+SOX10 to identify over three million cells. Immune tissue densities were compared to progression-free survival (PFS) and best overall response (BOR) by RECIST version 1.1. Correlation coefficients were calculated between tissue-based and circulating immune populations. The frequency of intratumoral CD3+ LAG-3+ cells was higher in responders compared to nonresponders (p = 0.0001). LAG-3+ cellular aggregates were associated with response, including CD3+ LAG-3+ in proximity to CD3+ (p = 0.01). Exploratory multivariate modeling showed an association between intratumoral CD3+ LAG-3+ cells and improved PFS independent of prognostic clinical factors (log HR -7.0; 95% confidence interval [CI] -12.7 to -1.4), as well as established biomarkers predictive of ICI response (log HR -5.0; 95% CI -9.8 to -0.2). Intratumoral LAG-3+ immune cell populations warrant further study as a predictive biomarker of clinical benefit to ICIs. Differences in LAG-3+ lymphocyte populations across the intratumoral and peripheral compartments may provide complementary information that could inform the future development of multimodal composite biomarkers of ICI response. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Rami S. Vanguri
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - James W. Smithy
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
| | - Yanyun Li
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Mingqiang Zhuang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Colleen A. Maher
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Nathaniel Aleynick
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiyu Peng
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Hikmat Al-Ahmadie
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Samuel A Funt
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Department of Medicine, Weill Cornell Medical College, New York NY USA
| | - Jonathan E Rosenberg
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Department of Medicine, Weill Cornell Medical College, New York NY USA
| | - Gopa Iyer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Department of Medicine, Weill Cornell Medical College, New York NY USA
| | - Dean Bajorin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Department of Medicine, Weill Cornell Medical College, New York NY USA
| | - James C. Mathews
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Saad Nadeem
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Katherine S. Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Margaret K. Callahan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York NY USA
- Department of Medicine, Weill Cornell Medical College, New York NY USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Travis J. Hollmann
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Bristol Myers Squibb, Princeton, NJ, USA
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48
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Chen Y, Li H, Fan Y. Shaping the tumor immune microenvironment of SCLC: Mechanisms, and opportunities for immunotherapy. Cancer Treat Rev 2023; 120:102606. [PMID: 37579532 DOI: 10.1016/j.ctrv.2023.102606] [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: 06/06/2023] [Revised: 07/25/2023] [Accepted: 08/05/2023] [Indexed: 08/16/2023]
Abstract
Small-cell lung cancer (SCLC) is a very aggressive neuroendocrine tumor with a poor prognosis. Whereas immunotherapy has emerged as a promising approach for treating SCLC, its unique tumor immune microenvironment (TIME) might limit patient responses. To fully characterize the TIME and understand the mechanism of its formation with respect to SCLC is crucial. The recent rapid development of multi-omics technologies has rapidly advanced knowledge of TIME features and the regulatory mechanisms associated with SCLC. This review summarizes the TIME features of SCLC as well as shaping the TIME according to the genomics, epigenomics, and metabolomics of tumors. Future opportunities and challenges for immunotherapy are also discussed.
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Affiliation(s)
- Yunfei Chen
- Department of Thoracic Medical Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China; Postgraduate Training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
| | - Hui Li
- Department of Thoracic Medical Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China; Postgraduate Training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China.
| | - Yun Fan
- Department of Thoracic Medical Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China; Postgraduate Training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China.
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49
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Tian L, Li H, Zhao P, Liu Y, Lu Y, Zhong R, Jin Y, Tan T, Cheng Y. C-Myc-induced hypersialylation of small cell lung cancer facilitates pro-tumoral phenotypes of macrophages. iScience 2023; 26:107771. [PMID: 37731607 PMCID: PMC10507237 DOI: 10.1016/j.isci.2023.107771] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/03/2023] [Accepted: 08/25/2023] [Indexed: 09/22/2023] Open
Abstract
Immunosuppressive myeloid cell populations have been documented in small cell lung cancer (SCLC) subtypes, playing a key role in remolding the tumor microenvironment (TME). However, the cancer-associated transcriptional features of monocytes and tumor-associated macrophages (TAMs) in SCLC remain poorly understood. Herein, we analyzed the molecular features and functions of monocyte/macrophage subsets aiming to inhibit monocyte recruitment and pro-tumor behavior of macrophages. We observe that NEUROD1-high SCLC subtype (SCLC-N) exhibits subtype-specific hypersialylation induced by the unique target c-Myc (MYC) of NEUROD1. The hypersialylation can alter macrophage phenotypes and pro-tumor behavior by regulating the expression of the immune-inhibiting lectin receptors on monocyte-derived macrophages (MDMs) in SCLC-N. Inhibiting the aberrant sialic acid metabolic pathways in SCLC can significantly enhance the phagocytosis of macrophages. This study provides a comprehensive overview of the cancer-specific immune signature of monocytes and macrophages and reveals tumor-associated biomarkers as potential therapeutic targets for SCLC.
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Affiliation(s)
- Lin Tian
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Postdoctoral Research Workstation, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Hui Li
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Peiyan Zhao
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Yan Liu
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Yuanhua Lu
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Postdoctoral Research Workstation, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Rui Zhong
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
| | - Yulong Jin
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
| | - Tianyu Tan
- Center for Stem Cell and Regenerative Medicine, Department of Basic Medical Sciences, and The First Affliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Ying Cheng
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, Changchun 130012, China
- Jilin Provincial Key Laboratory of Molecular Diagnostics for Lung Cancer, Jilin Cancer Hospital, Changchun 130012, China
- Department of Thoracic Oncology, Jilin Cancer Hospital, Changchun 130012, China
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50
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Chen HJ, Gardner EE, Shah Y, Zhang K, Thakur A, Zhang C, Elemento O, Varmus H. FORMATION OF MALIGNANT, METASTATIC SMALL CELL LUNG CANCERS THROUGH OVERPRODUCTION OF cMYC PROTEIN IN TP53 AND RB1 DEPLETED PULMONARY NEUROENDOCRINE CELLS DERIVED FROM HUMAN EMBRYONIC STEM CELLS. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.06.561244. [PMID: 37873210 PMCID: PMC10592623 DOI: 10.1101/2023.10.06.561244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
We recently described our initial efforts to develop a model for small cell lung cancer (SCLC) derived from human embryonic stem cells (hESCs) that were differentiated to form pulmonary neuroendocrine cells (PNECs), a putative cell of origin for neuroendocrine-positive SCLC. Although reduced expression of the tumor suppressor genes TP53 and RB1 allowed the induced PNECs to form subcutaneous growths in immune-deficient mice, the tumors did not display the aggressive characteristics of SCLC seen in human patients. Here we report that the additional, doxycycline-regulated expression of a transgene encoding wild-type or mutant cMYC protein promotes rapid growth, invasion, and metastasis of these hESC-derived cells after injection into the renal capsule. Similar to others, we find that the addition of cMYC encourages the formation of the SCLC-N subtype, marked by high levels of NEUROD1 RNA. Using paired primary and metastatic samples for RNA sequencing, we observe that the subtype of SCLC does not change upon metastatic spread and that production of NEUROD1 is maintained. We also describe histological features of these malignant, SCLC-like tumors derived from hESCs and discuss potential uses of this model in efforts to control and better understand this recalcitrant neoplasm.
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Affiliation(s)
- Huanhuan Joyce Chen
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
- The Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL
- The Ben May Department for Cancer Research, The University of Chicago, Chicago, IL
| | | | - Yajas Shah
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY
| | - Kui Zhang
- The Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL
- The Ben May Department for Cancer Research, The University of Chicago, Chicago, IL
| | - Abhimanyu Thakur
- The Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL
- The Ben May Department for Cancer Research, The University of Chicago, Chicago, IL
| | - Chen Zhang
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY
| | - Harold Varmus
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY
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