1
|
Ying Q, Fan R, Shen Y, Chen B, Zhang J, Li Q, Shi X. Small Cell Lung Cancer-An Update on Chemotherapy Resistance. Curr Treat Options Oncol 2024; 25:1112-1123. [PMID: 39066852 DOI: 10.1007/s11864-024-01245-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] [Accepted: 07/03/2024] [Indexed: 07/30/2024]
Abstract
OPINION STATEMENT Compared to other types of lung cancer, small cell lung cancer (SCLC) exhibits aggressive characteristics that promote drug resistance. Despite platinum-etoposide chemotherapy combined with immunotherapy being the current standard treatment, the rapid development of drug resistance has led to unsatisfactory clinical outcomes. This review focuses on the mechanisms contributing to the chemotherapy resistance phenotype in SCLC, such as increased intra-tumoral heterogeneity, alterations in the tumor microenvironment, changes in cellular metabolism, and dysregulation of apoptotic pathways. A comprehensive understanding of these drug resistance mechanisms in SCLC is imperative for ushering in a new era in cancer research, which will promise revolutionary advancements in cancer diagnosis and treatment methodologies.
Collapse
Affiliation(s)
- Qian Ying
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China
| | - Ruiyun Fan
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China
- Department of Respiratory Medicine, Fifth School of Clinical Medicine of Zhejiang, Huzhou Central Hospital, Chinese Medical University, Huzhou, People's Republic of China
| | - Yili Shen
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China
- Department of Respiratory Medicine, Fifth School of Clinical Medicine of Zhejiang, Huzhou Central Hospital, Chinese Medical University, Huzhou, People's Republic of China
| | - Boyi Chen
- Department of Respiratory Medicine, Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou, People's Republic of China
| | - Jianhui Zhang
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China
| | - Qiuhui Li
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China.
- Department of Respiratory Medicine, Fifth School of Clinical Medicine of Zhejiang, Huzhou Central Hospital, Chinese Medical University, Huzhou, People's Republic of China.
| | - Xuefei Shi
- Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China.
- Department of Respiratory Medicine, Fifth School of Clinical Medicine of Zhejiang, Huzhou Central Hospital, Chinese Medical University, Huzhou, People's Republic of China.
| |
Collapse
|
2
|
Redin E, Sridhar H, Zhan YA, Pereira Mello B, Zhong H, Durani V, Sabet A, Manoj P, Linkov I, Qiu J, Koche RP, de Stanchina E, Astorkia M, Betel D, Quintanal-Villalonga Á, Rudin CM. SMARCA4 controls state plasticity in small cell lung cancer through regulation of neuroendocrine transcription factors and REST splicing. J Hematol Oncol 2024; 17:58. [PMID: 39080761 PMCID: PMC11290012 DOI: 10.1186/s13045-024-01572-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 07/03/2024] [Indexed: 08/02/2024] Open
Abstract
INTRODUCTION Small Cell Lung Cancer (SCLC) can be classified into transcriptional subtypes with distinct degrees of neuroendocrine (NE) differentiation. Recent evidence supports plasticity among subtypes with a bias toward adoption of low-NE states during disease progression or upon acquired chemotherapy resistance. Here, we identify a role for SMARCA4, the catalytic subunit of the SWI/SNF complex, as a regulator of subtype shift in SCLC. METHODS ATACseq and RNAseq experiments were performed in SCLC cells after pharmacological inhibition of SMARCA4. DNA binding of SMARCA4 was characterized by ChIPseq in high-NE SCLC patient derived xenografts (PDXs). Enrichment analyses were applied to transcriptomic data. Combination of FHD-286 and afatinib was tested in vitro and in a set of chemo-resistant SCLC PDXs in vivo. RESULTS SMARCA4 expression positively correlates with that of NE genes in both SCLC cell lines and patient tumors. Pharmacological inhibition of SMARCA4 with FHD-286 induces the loss of NE features and downregulates neuroendocrine and neuronal signaling pathways while activating non-NE factors. SMARCA4 binds to gene loci encoding NE-lineage transcription factors ASCL1 and NEUROD1 and alters chromatin accessibility, enhancing NE programs. Enrichment analysis applied to high-confidence SMARCA4 targets confirmed neuron related pathways as the top GO Biological processes regulated by SMARCA4 in SCLC. In parallel, SMARCA4 also controls REST, a known suppressor of the NE phenotype, by regulating SRRM4-dependent REST transcript splicing. Furthermore, SMARCA4 inhibition drives ERBB pathway activation in SCLC, rendering SCLC tumors sensitive to afatinib. CONCLUSIONS This study nominates SMARCA4 as a key regulator of the NE state plasticity and defines a novel therapeutic strategy for SCLC.
Collapse
Affiliation(s)
- Esther Redin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Harsha Sridhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yingqian A Zhan
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hong Zhong
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vidushi Durani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine Graduate School of Medical Sciences, New York, NY, USA
| | - Amin Sabet
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Parvathy Manoj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irina Linkov
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan Qiu
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard P Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maider Astorkia
- Applied Bioinformatics Core, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Doron Betel
- Applied Bioinformatics Core, Weill Cornell Medicine, New York, NY, 10065, USA
- Division of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology, Biophysics and Systems Biology, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | | | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medicine Graduate School of Medical Sciences, New York, NY, USA.
| |
Collapse
|
3
|
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 PMCID: PMC11228806 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.
Collapse
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.
| |
Collapse
|
4
|
Zhou Y, Song L, Lyu L, Li S, Wang Q. Gastrointestinal stromal tumor with small cell carcinoma infiltration: a case report. Front Oncol 2024; 14:1389975. [PMID: 38952545 PMCID: PMC11215004 DOI: 10.3389/fonc.2024.1389975] [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: 02/22/2024] [Accepted: 05/24/2024] [Indexed: 07/03/2024] Open
Abstract
Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the digestive system. They usually occur in the gastrointestinal tract. However, we discovered a rare phenomenon in which small cell carcinoma infiltrated the GIST of a patient. The patient came to the hospital and presented with chest tightness and shortness of breath for 2 months and a dry cough for half a month. As the ancillary tests were refined, it was discovered that he also had a lesion in the pelvic cavity. After pathological examination of the core needle biopsy (CNB) samples from the pelvic cavity lesion, the patient was diagnosed with GIST with small cell carcinoma infiltration. The patient is currently receiving a chemotherapy regimen of etoposide combined with cisplatin.
Collapse
Affiliation(s)
| | | | - Li Lyu
- Department of Pathology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Shengjie Li
- Department of Pathology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qimin Wang
- Department of Pathology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| |
Collapse
|
5
|
Chen Y, Guo C, Cai X, Hu L, Tong X, Xue Y, Zhao Q, Zhang T, Chen Y, Fang Y, He Y, Li Y, Zhou B, Ji H. Genetic tracing uncovers the importance of epithelial-to-mesenchymal transition in small cell lung cancer chemotherapy resistance but not metastasis. Cell Discov 2024; 10:60. [PMID: 38834595 DOI: 10.1038/s41421-024-00687-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 05/03/2024] [Indexed: 06/06/2024] Open
Affiliation(s)
- Yuting Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Chenchen Guo
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Xinlei Cai
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Liang Hu
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Xinyuan Tong
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Yun Xue
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Qiqi Zhao
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Tengfei Zhang
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Chen
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yongting Fang
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yan Li
- Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Bin Zhou
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Hongbin Ji
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
- University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
6
|
Jimenez L, Stolzenbach V, Ozawa PMM, Ramirez-Solano M, Liu Q, Sage J, Weaver AM. Extracellular vesicles from non-neuroendocrine SCLC cells promote adhesion and survival of neuroendocrine SCLC cells. Proteomics 2024; 24:e2300030. [PMID: 37926756 DOI: 10.1002/pmic.202300030] [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: 05/29/2023] [Revised: 09/29/2023] [Accepted: 10/11/2023] [Indexed: 11/07/2023]
Abstract
Small cell lung cancer (SCLC) tumors are made up of distinct cell subpopulations, including neuroendocrine (NE) and non-neuroendocrine (non-NE) cells. While secreted factors from non-NE SCLC cells have been shown to support the growth of the NE cells, the underlying molecular factors are not well understood. Here, we show that exosome-type small extracellular vesicles (SEVs) secreted from non-NE SCLC cells promote adhesion and survival of NE SCLC cells. Proteomic analysis of purified SEVs revealed that extracellular matrix (ECM) proteins and integrins are highly enriched in SEVs of non-NE cells whereas nucleic acid-binding proteins are enriched in SEVs purified from NE cells. Addition of select purified ECM proteins identified in purified extracellular vesicles (EVs), specifically fibronectin, laminin 411, and laminin 511, were able to substitute for the role of non-NE-derived SEVs in promoting adhesion and survival of NE SCLC cells. Those same proteins were differentially expressed by human SCLC subtypes. These data suggest that ECM-carrying SEVs secreted by non-NE cells play a key role in supporting the growth and survival of NE SCLC cells.
Collapse
Affiliation(s)
- Lizandra Jimenez
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Center for Extracellular Vesicle Research, Vanderbilt University, Nashville, Tennessee, USA
| | - Victor Stolzenbach
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Center for Extracellular Vesicle Research, Vanderbilt University, Nashville, Tennessee, USA
| | - Patricia M M Ozawa
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Center for Extracellular Vesicle Research, Vanderbilt University, Nashville, Tennessee, USA
| | - Marisol Ramirez-Solano
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Qi Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Julien Sage
- Department of Pediatrics, Stanford Medicine, Stanford, California, USA
- Department of Genetics, Stanford Medicine, Stanford, California, USA
| | - Alissa M Weaver
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Center for Extracellular Vesicle Research, Vanderbilt University, Nashville, Tennessee, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| |
Collapse
|
7
|
Gu Y, Benavente CA. Landscape and Treatment Options of Shapeshifting Small Cell Lung Cancer. J Clin Med 2024; 13:3120. [PMID: 38892831 PMCID: PMC11173155 DOI: 10.3390/jcm13113120] [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: 05/01/2024] [Revised: 05/20/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Small cell lung cancer (SCLC) is a deadly neuroendocrine malignancy, notorious for its rapid tumor growth, early metastasis, and relatively "cold" immune environment. Only standard chemotherapies and a few immune checkpoint inhibitors have been approved for SCLC treatment, revealing an urgent need for novel therapeutic approaches. Moreover, SCLC has been recently recognized as a malignancy with high intratumoral and intertumoral heterogeneity, which explains the modest response rate in some patients and the early relapse. Molecular subtypes defined by the expression of lineage-specific transcription factors (ASCL1, NEUROD1, POU2F3, and, in some studies, YAP1) or immune-related genes display different degrees of neuroendocrine differentiation, immune cell infiltration, and response to treatment. Despite the complexity of this malignancy, a few biomarkers and targets have been identified and many promising drugs are currently undergoing clinical trials. In this review, we integrate the current progress on the genomic landscape of this shapeshifting malignancy, the characteristics and treatment vulnerabilities of each subtype, and promising drugs in clinical phases.
Collapse
Affiliation(s)
- Yijun Gu
- Department of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA;
| | - Claudia A. Benavente
- Department of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA;
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA
- Chao Family Comprehensive Cancer Center, University of California, Irvine, CA 92697, USA
| |
Collapse
|
8
|
Solta A, Ernhofer B, Boettiger K, Megyesfalvi Z, Heeke S, Hoda MA, Lang C, Aigner C, Hirsch FR, Schelch K, Döme B. Small cells - big issues: biological implications and preclinical advancements in small cell lung cancer. Mol Cancer 2024; 23:41. [PMID: 38395864 PMCID: PMC10893629 DOI: 10.1186/s12943-024-01953-9] [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: 09/11/2023] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
Current treatment guidelines refer to small cell lung cancer (SCLC), one of the deadliest human malignancies, as a homogeneous disease. Accordingly, SCLC therapy comprises chemoradiation with or without immunotherapy. Meanwhile, recent studies have made significant advances in subclassifying SCLC based on the elevated expression of the transcription factors ASCL1, NEUROD1, and POU2F3, as well as on certain inflammatory characteristics. The role of the transcription regulator YAP1 in defining a unique SCLC subset remains to be established. Although preclinical analyses have described numerous subtype-specific characteristics and vulnerabilities, the so far non-existing clinical subtype distinction may be a contributor to negative clinical trial outcomes. This comprehensive review aims to provide a framework for the development of novel personalized therapeutic approaches by compiling the most recent discoveries achieved by preclinical SCLC research. We highlight the challenges faced due to limited access to patient material as well as the advances accomplished by implementing state-of-the-art models and methodologies.
Collapse
Affiliation(s)
- Anna Solta
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Büsra Ernhofer
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Kristiina Boettiger
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Zsolt Megyesfalvi
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Department of Thoracic Surgery, Semmelweis University and National Institute of Oncology, Budapest, Hungary
- National Koranyi Institute of Pulmonology, Budapest, Hungary
| | - Simon Heeke
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mir Alireza Hoda
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Christian Lang
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Division of Pulmonology, Department of Medicine II, Medical University of Vienna, Vienna, Austria
| | - Clemens Aigner
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Fred R Hirsch
- Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Center for Thoracic Oncology, Mount Sinai Health System, Tisch Cancer Institute, New York, NY, USA.
| | - Karin Schelch
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Balazs Döme
- Department of Thoracic Surgery, Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
- Department of Thoracic Surgery, Semmelweis University and National Institute of Oncology, Budapest, Hungary.
- National Koranyi Institute of Pulmonology, Budapest, Hungary.
- Department of Translational Medicine, Lund University, Lund, Sweden.
| |
Collapse
|
9
|
Berns A. Transforming lung cancer types. Science 2024; 383:590-591. [PMID: 38330129 DOI: 10.1126/science.adn5218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Lung cancer cells can escape targeted therapy by switching oncogenic drivers and cell identity.
Collapse
Affiliation(s)
- Anton Berns
- Division of Molecular Genetics, Netherlands Cancer Institute, Amsterdam, Netherlands
| |
Collapse
|
10
|
Lu Y, Li H, Zhao P, Tian L, Liu Y, Sun X, Cheng Y. Dynamic phenotypic reprogramming and chemoresistance induced by lung fibroblasts in small cell lung cancer. Sci Rep 2024; 14:2884. [PMID: 38311608 PMCID: PMC10838940 DOI: 10.1038/s41598-024-52687-z] [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: 09/16/2023] [Accepted: 01/22/2024] [Indexed: 02/06/2024] Open
Abstract
Small cell lung cancer (SCLC) is heterogenous in phenotype and microenvironment. Dynamic phenotypic reprogramming, leading to heterogeneity, is prevalent in SCLC, while the mechanisms remain incompletely understood. Cancer-associated fibroblasts (CAFs) possess comprehensive roles in cancer progression, while their function in phenotypic reprogramming of SCLC remain elusive. Here, we obtained transcriptome data of SCLC tissues from publicly available databases, subsequently estimated abundance of CAFs. We found CAF-abundant SCLC exhibited non-neuroendocrine (Non-NE) characteristics. Supporting this, the positive correlation of expression level of α-SMA, the CAF marker, and expression level of REST, protein typically expressed in Non-NE type SCLC, was identified in SCLC tissue arrays. Moreover, we revealed that fibroblasts inhibited NE markers expression and cell proliferation of SCLC cells in the co-culture system comprising lung fibroblasts and SCLC cells, indicating a phenotypic reprogramming from NE to Non-NE. During this process, fibroblast-derived IL-6 activated the JAK2/STAT3 signaling, upregulated c-MYC expression, and subsequently activated the NOTCH pathway, driving phenotypic reprogramming. Moreover, CAF-enriched SCLC exhibited increased immune cell infiltration, elevated expression of immune activation-related signatures, and checkpoint molecules. Our data also highlighted the chemoresistance induced by fibroblasts in SCLC cells, which was effectively reversed by JAK inhibitor. In conclusion, fibroblasts induced phenotypic reprogramming of SCLC cells from NE to Non-NE, likely contributes to inflamed immune microenvironment and chemoresistance. These findings provide novel insights into the clinical implications of CAFs in SCLC.
Collapse
Affiliation(s)
- Yuanhua Lu
- Postdoctoral Research Workstation, Jilin Cancer Hospital, Changchun, China
| | - Hui Li
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, No. 1066, Jinhu Road, High-tech District, Changchun, 130012, Jilin, China
| | - Peiyan Zhao
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, No. 1066, Jinhu Road, High-tech District, Changchun, 130012, Jilin, China
| | - Lin Tian
- Postdoctoral Research Workstation, Jilin Cancer Hospital, Changchun, China
| | - Yan Liu
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, No. 1066, Jinhu Road, High-tech District, Changchun, 130012, Jilin, China
| | - XiaoDan Sun
- Department of 1st Gynecologic Oncology Surgery, Jilin Cancer Hospital, Changchun, China
| | - Ying Cheng
- Medical Oncology Translational Research Lab, Jilin Cancer Hospital, No. 1066, Jinhu Road, High-tech District, Changchun, 130012, Jilin, China.
- Department of Medical Thoracic Oncology, Jilin Cancer Hospital, Changchun, China.
| |
Collapse
|
11
|
Oser MG, MacPherson D, Oliver TG, Sage J, Park KS. Genetically-engineered mouse models of small cell lung cancer: the next generation. Oncogene 2024; 43:457-469. [PMID: 38191672 PMCID: PMC11180418 DOI: 10.1038/s41388-023-02929-7] [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: 10/19/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/10/2024]
Abstract
Small cell lung cancer (SCLC) remains the most fatal form of lung cancer, with patients in dire need of new and effective therapeutic approaches. Modeling SCLC in an immunocompetent host is essential for understanding SCLC pathogenesis and ultimately discovering and testing new experimental therapeutic strategies. Human SCLC is characterized by near universal genetic loss of the RB1 and TP53 tumor suppressor genes. Twenty years ago, the first genetically-engineered mouse model (GEMM) of SCLC was generated using conditional deletion of both Rb1 and Trp53 in the lungs of adult mice. Since then, several other GEMMs of SCLC have been developed coupling genomic alterations found in human SCLC with Rb1 and Trp53 deletion. Here we summarize how GEMMs of SCLC have contributed significantly to our understanding of the disease in the past two decades. We also review recent advances in modeling SCLC in mice that allow investigators to bypass limitations of the previous generation of GEMMs while studying new genes of interest in SCLC. In particular, CRISPR/Cas9-mediated somatic gene editing can accelerate how new genes of interest are functionally interrogated in SCLC tumorigenesis. Notably, the development of allograft models and precancerous precursor models from SCLC GEMMs provides complementary approaches to GEMMs to study tumor cell-immune microenvironment interactions and test new therapeutic strategies to enhance response to immunotherapy. Ultimately, the new generation of SCLC models can accelerate research and help develop new therapeutic strategies for SCLC.
Collapse
Affiliation(s)
- Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02215, USA.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
| | - David MacPherson
- Division of Human Biology, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Trudy G Oliver
- Department of Pharmacology & Cancer Biology, Duke University, Durham, NC, 27708, USA
| | - Julien Sage
- Department of Pediatrics, Stanford University, Stanford, CA, 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Kwon-Sik Park
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, 22903, USA.
| |
Collapse
|
12
|
Masroni MSB, Lee KW, Lee VKM, Ng SB, Law CT, Poon KS, Lee BTK, Liu Z, Tan YP, Chng WL, Tucker S, Ngo LSM, Yip GWC, Nga ME, Hue SSS, Putti TC, Bay BH, Lin Q, Zhou L, Hartman M, Loh TP, Lakshmanan M, Lee SY, Tergaonkar V, Chua H, Lee AVH, Yeo EYM, Li MH, Chang CF, Kee Z, Tan KML, Tan SY, Koay ESC, Archetti M, Leong SM. Dynamic altruistic cooperation within breast tumors. Mol Cancer 2023; 22:206. [PMID: 38093346 PMCID: PMC10720132 DOI: 10.1186/s12943-023-01896-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 11/05/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Social behaviors such as altruism, where one self-sacrifices for collective benefits, critically influence an organism's survival and responses to the environment. Such behaviors are widely exemplified in nature but have been underexplored in cancer cells which are conventionally seen as selfish competitive players. This multidisciplinary study explores altruism and its mechanism in breast cancer cells and its contribution to chemoresistance. METHODS MicroRNA profiling was performed on circulating tumor cells collected from the blood of treated breast cancer patients. Cancer cell lines ectopically expressing candidate miRNA were used in co-culture experiments and treated with docetaxel. Ecological parameters like relative survival and relative fitness were assessed using flow cytometry. Functional studies and characterization performed in vitro and in vivo include proliferation, iTRAQ-mass spectrometry, RNA sequencing, inhibition by small molecules and antibodies, siRNA knockdown, CRISPR/dCas9 inhibition and fluorescence imaging of promoter reporter-expressing cells. Mathematical modeling based on evolutionary game theory was performed to simulate spatial organization of cancer cells. RESULTS Opposing cancer processes underlie altruism: an oncogenic process involving secretion of IGFBP2 and CCL28 by the altruists to induce survival benefits in neighboring cells under taxane exposure, and a self-sacrificial tumor suppressive process impeding proliferation of altruists via cell cycle arrest. Both processes are regulated concurrently in the altruists by miR-125b, via differential NF-κB signaling specifically through IKKβ. Altruistic cells persist in the tumor despite their self-sacrifice, as they can regenerate epigenetically from non-altruists via a KLF2/PCAF-mediated mechanism. The altruists maintain a sparse spatial organization by inhibiting surrounding cells from adopting the altruistic fate via a lateral inhibition mechanism involving a GAB1-PI3K-AKT-miR-125b signaling circuit. CONCLUSIONS Our data reveal molecular mechanisms underlying manifestation, persistence and spatial spread of cancer cell altruism. A minor population behave altruistically at a cost to itself producing a collective benefit for the tumor, suggesting tumors to be dynamic social systems governed by the same rules of cooperation in social organisms. Understanding cancer cell altruism may lead to more holistic models of tumor evolution and drug response, as well as therapeutic paradigms that account for social interactions. Cancer cells constitute tractable experimental models for fields beyond oncology, like evolutionary ecology and game theory.
Collapse
Affiliation(s)
- Muhammad Sufyan Bin Masroni
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Kee Wah Lee
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, MD10, 4 Medical Drive, Singapore, 117594, Singapore
| | - Victor Kwan Min Lee
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore
| | - Siok Bian Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore
| | - Chao Teng Law
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Kok Siong Poon
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Bernett Teck-Kwong Lee
- Centre for Biomedical Informatics, Lee Kong Chian School of Medicine, Nanyang Technological University, Experimental Medicine Building, NTU Main Campus, 59 Nanyang Drive, Level 4, Singapore, 636921, Singapore
| | - Zhehao Liu
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, MD10, 4 Medical Drive, Singapore, 117594, Singapore
| | - Yuen Peng Tan
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Wee Ling Chng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Steven Tucker
- Tucker Medical Pte Ltd, Novena Specialist Centre, 8 Sinaran Drive #04-03, Singapore, 307470, Singapore
| | - Lynette Su-Mien Ngo
- Raffles Cancer Centre, Raffles Hospital, 585 North Bridge Road, Singapore, 188770, Singapore
- Current address: Curie Oncology Pte Ltd, Mount Elizabeth Novena Specialist Centre, 38 Irrawaddy Road, Level 8, #08-29/30, Singapore, 329563, Singapore
| | - George Wai Cheong Yip
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, MD10, 4 Medical Drive, Singapore, 117594, Singapore
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore
| | - Min En Nga
- Department of Pathology, National University Hospital, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Susan Swee Shan Hue
- Department of Pathology, National University Hospital, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Proteos, 61 Biopolis Drive, Singapore, 138673, Singapore
| | - Thomas Choudary Putti
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Boon Huat Bay
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, MD10, 4 Medical Drive, Singapore, 117594, Singapore
| | - Qingsong Lin
- Department of Biological Sciences, Faculty of Science, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Lihan Zhou
- MiRXES Pte Ltd, JTC MedTech Hub, 2 Tukang Innovation Grove #08-01, Singapore, 618305, Singapore
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 8, Singapore, 119228, Singapore
| | - Tze Ping Loh
- Department of Laboratory Medicine, National University Hospital, Level 3 NUH Main Building, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Proteos, 61 Biopolis Drive, Singapore, 138673, Singapore
| | - Sook Yee Lee
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Proteos, 61 Biopolis Drive, Singapore, 138673, Singapore
| | - Vinay Tergaonkar
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Proteos, 61 Biopolis Drive, Singapore, 138673, Singapore
| | - Huiwen Chua
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Adeline Voon Hui Lee
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Eric Yew Meng Yeo
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Mo-Huang Li
- CellSievo Pte Ltd, Block 289A, Bukit Batok Street 25, #15-218, Singapore, 650289, Singapore
| | - Chan Fong Chang
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117594, Singapore
| | - Zizheng Kee
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Karen Mei-Ling Tan
- Department of Laboratory Medicine, National University Hospital, Level 3 NUH Main Building, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
- Singapore Institute For Clinical Sciences, Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
| | - Soo Yong Tan
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore.
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore.
- Department of Pathology, National University Hospital, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Proteos, 61 Biopolis Drive, Singapore, 138673, Singapore.
| | - Evelyn Siew-Chuan Koay
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore.
- Department of Laboratory Medicine, National University Hospital, Level 3 NUH Main Building, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
| | - Marco Archetti
- Department of Biology, Pennsylvania State University, W210 Millennium Science Complex, University Park, PA, 16802, USA.
| | - Sai Mun Leong
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Level 3 NUH Main Building, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore.
- NUS Centre for Cancer Research (N2CR), MD6, Centre for Translational Medicine, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore.
| |
Collapse
|
13
|
Xu H, Jia Z, Liu F, Li J, Huang Y, Jiang Y, Pu P, Shang T, Tang P, Zhou Y, Yang Y, Su J, Liu J. Biomarkers and experimental models for cancer immunology investigation. MedComm (Beijing) 2023; 4:e437. [PMID: 38045830 PMCID: PMC10693314 DOI: 10.1002/mco2.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/01/2023] [Accepted: 11/10/2023] [Indexed: 12/05/2023] Open
Abstract
The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD-L1, genetic features such as microsatellite instability, tumor-infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air-liquid interface models, organ-on-a-chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient-derived xenografts provide opportunities to study in vivo tumor-immune interactions. Humanized animal models further enable the simulation of the human-specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting-edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation.
Collapse
Affiliation(s)
- Hengyi Xu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ziqi Jia
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengshuo Liu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiayi Li
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yansong Huang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yiwen Jiang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengming Pu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tongxuan Shang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengrui Tang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yongxin Zhou
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yufan Yang
- School of MedicineTsinghua UniversityBeijingChina
| | - Jianzhong Su
- Oujiang LaboratoryZhejiang Lab for Regenerative Medicine, Vision, and Brain HealthWenzhouZhejiangChina
| | - Jiaqi Liu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| |
Collapse
|
14
|
Ozen M, Lopez CF. Data-driven structural analysis of small cell lung cancer transcription factor network suggests potential subtype regulators and transition pathways. NPJ Syst Biol Appl 2023; 9:55. [PMID: 37907529 PMCID: PMC10618210 DOI: 10.1038/s41540-023-00316-2] [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: 07/18/2023] [Accepted: 10/12/2023] [Indexed: 11/02/2023] Open
Abstract
Small cell lung cancer (SCLC) is an aggressive disease and challenging to treat due to its mixture of transcriptional subtypes and subtype transitions. Transcription factor (TF) networks have been the focus of studies to identify SCLC subtype regulators via systems approaches. Yet, their structures, which can provide clues on subtype drivers and transitions, are barely investigated. Here, we analyze the structure of an SCLC TF network by using graph theory concepts and identify its structurally important components responsible for complex signal processing, called hubs. We show that the hubs of the network are regulators of different SCLC subtypes by analyzing first the unbiased network structure and then integrating RNA-seq data as weights assigned to each interaction. Data-driven analysis emphasizes MYC as a hub, consistent with recent reports. Furthermore, we hypothesize that the pathways connecting functionally distinct hubs may control subtype transitions and test this hypothesis via network simulations on a candidate pathway and observe subtype transition. Overall, structural analyses of complex networks can identify their functionally important components and pathways driving the network dynamics. Such analyses can be an initial step for generating hypotheses and can guide the discovery of target pathways whose perturbation may change the network dynamics phenotypically.
Collapse
Affiliation(s)
- Mustafa Ozen
- Dept. of Biochemistry, Vanderbilt University, Nashville, TN, USA
- Multiscale Modeling Group, SI3, Altos Labs, Redwood City, CA, USA
| | - Carlos F Lopez
- Dept. of Biochemistry, Vanderbilt University, Nashville, TN, USA.
- Multiscale Modeling Group, SI3, Altos Labs, Redwood City, CA, USA.
| |
Collapse
|
15
|
Recuero E, Lázaro S, Lorz C, Enguita AB, Garcia-Escudero R, Santos M. Novel Mouse Cell Lines and In Vivo Models for Human High-Grade Neuroendocrine Lung Carcinoma, Small Cell Lung Carcinoma (SCLC), and Large Cell Neuroendocrine Carcinoma (LCNEC). Int J Mol Sci 2023; 24:15284. [PMID: 37894963 PMCID: PMC10607103 DOI: 10.3390/ijms242015284] [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: 09/20/2023] [Revised: 10/11/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
There is a clear need to expand the toolkit of adequate mouse models and cell lines available for preclinical studies of high-grade neuroendocrine lung carcinoma (small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC)). SCLC and LCNEC are two highly aggressive tumor types with dismal prognoses and few therapeutic options. Currently, there is an extreme paucity of material, particularly in the case of LCNEC. Given the lack of murine cell lines and transplant models of LCNEC, the need is imperative. In this study, we generated and examined new models of LCNEC and SCLC transplantable cell lines derived from our previously developed primary mouse LCNEC and SCLC tumors. RNA-seq analysis demonstrated that our cell lines and syngeneic tumors maintained the transcriptome program from the original transgenic primary tumor and displayed strong similarities to human SCLC or LCNEC. Importantly, the SCLC transplanted cell lines showed the ability to metastasize and mimic this characteristic of the human condition. In summary, we generated mouse cell line tools that allow further basic and translational research as well as preclinical testing of new treatment strategies for SCLC and LCNEC. These tools retain important features of their human counterparts and address the lack of LCNEC disease models.
Collapse
Affiliation(s)
- Enrique Recuero
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain; (E.R.); (S.L.); (C.L.); (R.G.-E.)
| | - Sara Lázaro
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain; (E.R.); (S.L.); (C.L.); (R.G.-E.)
| | - Corina Lorz
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain; (E.R.); (S.L.); (C.L.); (R.G.-E.)
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), 28041 Madrid, Spain
- Tumor Progression Mechanisms Program, CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
| | - Ana Belén Enguita
- Pathology Department, University Hospital “12 de Octubre”, 28041 Madrid, Spain;
| | - Ramón Garcia-Escudero
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain; (E.R.); (S.L.); (C.L.); (R.G.-E.)
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), 28041 Madrid, Spain
- Tumor Progression Mechanisms Program, CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
| | - Mirentxu Santos
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain; (E.R.); (S.L.); (C.L.); (R.G.-E.)
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), 28041 Madrid, Spain
- Tumor Progression Mechanisms Program, CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
| |
Collapse
|
16
|
Qu F, Brough SC, Michno W, Madubata CJ, Hartmann GG, Puno A, Drainas AP, Bhattacharya D, Tomasich E, Lee MC, Yang D, Kim J, Peiris-Pagès M, Simpson KL, Dive C, Preusser M, Toland A, Kong C, Das M, Winslow MM, Pasca AM, Sage J. Crosstalk between small-cell lung cancer cells and astrocytes mimics brain development to promote brain metastasis. Nat Cell Biol 2023; 25:1506-1519. [PMID: 37783795 PMCID: PMC11230587 DOI: 10.1038/s41556-023-01241-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/25/2023] [Indexed: 10/04/2023]
Abstract
Brain metastases represent an important clinical problem for patients with small-cell lung cancer (SCLC). However, the mechanisms underlying SCLC growth in the brain remain poorly understood. Here, using intracranial injections in mice and assembloids between SCLC aggregates and human cortical organoids in culture, we found that SCLC cells recruit reactive astrocytes to the tumour microenvironment. This crosstalk between SCLC cells and astrocytes drives the induction of gene expression programmes that are similar to those found during early brain development in neurons and astrocytes. Mechanistically, the brain development factor Reelin, secreted by SCLC cells, recruits astrocytes to brain metastases. These astrocytes in turn promote SCLC growth by secreting neuronal pro-survival factors such as SERPINE1. Thus, SCLC brain metastases grow by co-opting mechanisms involved in reciprocal neuron-astrocyte interactions during brain development. Targeting such developmental programmes activated in this cancer ecosystem may help prevent and treat brain metastases.
Collapse
Affiliation(s)
- Fangfei Qu
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Siqi C Brough
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Wojciech Michno
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Chioma J Madubata
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Griffin G Hartmann
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alyssa Puno
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandros P Drainas
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Debadrita Bhattacharya
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Erwin Tomasich
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Myung Chang Lee
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Dian Yang
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jun Kim
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Maria Peiris-Pagès
- Cancer Research UK Cancer Biomarker Centre, Manchester, UK
- Cancer Research UK Manchester Institute, Manchester, UK
| | - Kathryn L Simpson
- Cancer Research UK Cancer Biomarker Centre, Manchester, UK
- Cancer Research UK Manchester Institute, Manchester, UK
| | - Caroline Dive
- Cancer Research UK Cancer Biomarker Centre, Manchester, UK
- Cancer Research UK Manchester Institute, Manchester, UK
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Angus Toland
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina Kong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Millie Das
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Anca M Pasca
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Julien Sage
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|
17
|
Pearsall SM, Williamson SC, Humphrey S, Hughes E, Morgan D, García Marqués FJ, Awanis G, Carroll R, Burks L, Shue YT, Bermudez A, Frese KK, Galvin M, Carter M, Priest L, Kerr A, Zhou C, Oliver TG, Humphries JD, Humphries MJ, Blackhall F, Cannell IG, Pitteri SJ, Hannon GJ, Sage J, Dive C, Simpson KL. Lineage Plasticity in SCLC Generates Non-Neuroendocrine Cells Primed for Vasculogenic Mimicry. J Thorac Oncol 2023; 18:1362-1385. [PMID: 37455012 PMCID: PMC10561473 DOI: 10.1016/j.jtho.2023.07.012] [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: 10/12/2022] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
INTRODUCTION Vasculogenic mimicry (VM), the process of tumor cell transdifferentiation to endow endothelial-like characteristics supporting de novo vessel formation, is associated with poor prognosis in several tumor types, including SCLC. In genetically engineered mouse models (GEMMs) of SCLC, NOTCH, and MYC co-operate to drive a neuroendocrine (NE) to non-NE phenotypic switch, and co-operation between NE and non-NE cells is required for metastasis. Here, we define the phenotype of VM-competent cells and molecular mechanisms underpinning SCLC VM using circulating tumor cell-derived explant (CDX) models and GEMMs. METHODS We analyzed perfusion within VM vessels and their association with NE and non-NE phenotypes using multiplex immunohistochemistry in CDX, GEMMs, and patient biopsies. We evaluated their three-dimensional structure and defined collagen-integrin interactions. RESULTS We found that VM vessels are present in 23/25 CDX models, 2 GEMMs, and in 20 patient biopsies of SCLC. Perfused VM vessels support tumor growth and only NOTCH-active non-NE cells are VM-competent in vivo and ex vivo, expressing pseudohypoxia, blood vessel development, and extracellular matrix organization signatures. On Matrigel, VM-primed non-NE cells remodel extracellular matrix into hollow tubules in an integrin β1-dependent process. CONCLUSIONS We identified VM as an exemplar of functional heterogeneity and plasticity in SCLC and these findings take considerable steps toward understanding the molecular events that enable VM. These results support therapeutic co-targeting of both NE and non-NE cells to curtail SCLC progression and to improve the outcomes of patients with SCLC in the future.
Collapse
Affiliation(s)
- Sarah M Pearsall
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Stuart C Williamson
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Sam Humphrey
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Ellyn Hughes
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Derrick Morgan
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | | | - Griselda Awanis
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Rebecca Carroll
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Laura Burks
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Yan Ting Shue
- Department of Pediatrics, Stanford University, Stanford, California; Department of Genetics, Stanford University, Stanford, California
| | - Abel Bermudez
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford, California
| | - Kristopher K Frese
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Melanie Galvin
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Mathew Carter
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Lynsey Priest
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Alastair Kerr
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Cong Zhou
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| | - Trudy G Oliver
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina
| | - Jonathan D Humphries
- Faculty of Biology Medicine and Health, Wellcome Centre for Cell-Matrix Research, University of Manchester, United Kingdom; Department of Life Sciences, Manchester Metropolitan University, Manchester, United Kingdom
| | - Martin J Humphries
- Faculty of Biology Medicine and Health, Wellcome Centre for Cell-Matrix Research, University of Manchester, United Kingdom
| | - Fiona Blackhall
- Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom; Medical Oncology, Christie Hospital National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Ian G Cannell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, United Kingdom
| | - Sharon J Pitteri
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford, California
| | - Gregory J Hannon
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, United Kingdom
| | - Julien Sage
- Department of Pediatrics, Stanford University, Stanford, California; Department of Genetics, Stanford University, Stanford, California
| | - Caroline Dive
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.
| | - Kathryn L Simpson
- Cancer Research UK Cancer Biomarker Centre, University of Manchester, United Kingdom; Cancer Research UK Manchester Institute, University of Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom
| |
Collapse
|
18
|
Hershey BJ, Barozzi S, Orsenigo F, Pompei S, Iannelli F, Kamrad S, Matafora V, Pisati F, Calabrese L, Fragale G, Salvadori G, Martini E, Totaro MG, Magni S, Guan R, Parazzoli D, Maiuri P, Bachi A, Patil KR, Cosentino Lagomarsino M, Havas KM. Clonal cooperation through soluble metabolite exchange facilitates metastatic outgrowth by modulating Allee effect. SCIENCE ADVANCES 2023; 9:eadh4184. [PMID: 37713487 PMCID: PMC10881076 DOI: 10.1126/sciadv.adh4184] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 08/14/2023] [Indexed: 09/17/2023]
Abstract
Cancers feature substantial intratumoral heterogeneity of genetic and phenotypically distinct lineages. Although interactions between coexisting lineages are emerging as a potential contributor to tumor evolution, the extent and nature of these interactions remain largely unknown. We postulated that tumors develop ecological interactions that sustain diversity and facilitate metastasis. Using a combination of fluorescent barcoding, mathematical modeling, metabolic analysis, and in vivo models, we show that the Allee effect, i.e., growth dependency on population size, is a feature of tumor lineages and that cooperative ecological interactions between lineages alleviate the Allee barriers to growth in a model of triple-negative breast cancer. Soluble metabolite exchange formed the basis for these cooperative interactions and catalyzed the establishment of a polyclonal community that displayed enhanced metastatic dissemination and outgrowth in xenograft models. Our results highlight interclonal metabolite exchange as a key modulator of tumor ecology and a contributing factor to overcoming Allee effect-associated growth barriers to metastasis.
Collapse
Affiliation(s)
| | - Sara Barozzi
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | | | - Simone Pompei
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Fabio Iannelli
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | | | | | | | | | | | | | | | | | - Serena Magni
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Rui Guan
- Medical Research Council Toxicology Unit, Cambridge, UK
| | - Dario Parazzoli
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | | | - Angela Bachi
- IFOM ETS The AIRC Institute of Molecular Oncology, Milan, Italy
| | | | | | | |
Collapse
|
19
|
Groves SM, Quaranta V. Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1225736. [PMID: 37731743 PMCID: PMC10507267 DOI: 10.3389/fnetp.2023.1225736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/25/2023] [Indexed: 09/22/2023]
Abstract
Phenotypic plasticity of cancer cells can lead to complex cell state dynamics during tumor progression and acquired resistance. Highly plastic stem-like states may be inherently drug-resistant. Moreover, cell state dynamics in response to therapy allow a tumor to evade treatment. In both scenarios, quantifying plasticity is essential for identifying high-plasticity states or elucidating transition paths between states. Currently, methods to quantify plasticity tend to focus on 1) quantification of quasi-potential based on the underlying gene regulatory network dynamics of the system; or 2) inference of cell potency based on trajectory inference or lineage tracing in single-cell dynamics. Here, we explore both of these approaches and associated computational tools. We then discuss implications of each approach to plasticity metrics, and relevance to cancer treatment strategies.
Collapse
Affiliation(s)
- Sarah M. Groves
- Department of Pharmacology, Vanderbilt University, Nashville, TN, United States
| | - Vito Quaranta
- Department of Pharmacology, Vanderbilt University, Nashville, TN, United States
- Department of Biochemistry, Vanderbilt University, Nashville, TN, United States
| |
Collapse
|
20
|
Cai L, DeBerardinis RJ, Xie Y, Minna JD, Xiao G. A Comparative Study of Neuroendocrine Heterogeneity in Small Cell Lung Cancer and Neuroblastoma. Mol Cancer Res 2023; 21:795-807. [PMID: 37255415 PMCID: PMC10390888 DOI: 10.1158/1541-7786.mcr-23-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 04/13/2023] [Accepted: 05/10/2023] [Indexed: 05/14/2023]
Abstract
Lineage plasticity has long been documented in both small cell lung cancer (SCLC) and neuroblastoma, two clinically distinct neuroendocrine (NE) cancers. In this study, we quantified the NE features of cancer as NE scores and performed a systematic comparison of SCLC and neuroblastoma. We found neuroblastoma and SCLC cell lines have highly similar molecular profiles and shared therapeutic sensitivity. In addition, NE heterogeneity was observed at both the inter- and intra-cell line levels. Surprisingly, we did not find a significant association between NE scores and overall survival in SCLC or neuroblastoma. We described many shared and unique NE score-associated features between SCLC and neuroblastoma, including dysregulation of Myc oncogenes, alterations in protein expression, metabolism, drug resistance, and selective gene dependencies. IMPLICATIONS Our work establishes a reference for molecular changes and vulnerabilities associated with NE to non-NE transdifferentiation through mutual validation of SCLC and neuroblastoma samples.
Collapse
Affiliation(s)
- Ling Cai
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas
- Children's Research Institute, UT Southwestern Medical Center, Dallas, Texas
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas
| | - Ralph J. DeBerardinis
- Children's Research Institute, UT Southwestern Medical Center, Dallas, Texas
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas
- Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Yang Xie
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| | - John D. Minna
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas
- Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, Texas
- Department of Pharmacology, UT Southwestern Medical Center, Dallas, Texas
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Guanghua Xiao
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas
- Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas
| |
Collapse
|
21
|
Sigvardsson M. Transcription factor networks link B-lymphocyte development and malignant transformation in leukemia. Genes Dev 2023; 37:703-723. [PMID: 37673459 PMCID: PMC10546977 DOI: 10.1101/gad.349879.122] [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] [Indexed: 09/08/2023]
Abstract
Rapid advances in genomics have opened unprecedented possibilities to explore the mutational landscapes in malignant diseases, such as B-cell acute lymphoblastic leukemia (B-ALL). This disease is manifested as a severe defect in the production of normal blood cells due to the uncontrolled expansion of transformed B-lymphocyte progenitors in the bone marrow. Even though classical genetics identified translocations of transcription factor-coding genes in B-ALL, the extent of the targeting of regulatory networks in malignant transformation was not evident until the emergence of large-scale genomic analyses. There is now evidence that many B-ALL cases present with mutations in genes that encode transcription factors with critical roles in normal B-lymphocyte development. These include PAX5, IKZF1, EBF1, and TCF3, all of which are targeted by translocations or, more commonly, partial inactivation in cases of B-ALL. Even though there is support for the notion that germline polymorphisms in the PAX5 and IKZF1 genes predispose for B-ALL, the majority of leukemias present with somatic mutations in transcription factor-encoding genes. These genetic aberrations are often found in combination with mutations in genes that encode components of the pre-B-cell receptor or the IL-7/TSLP signaling pathways, all of which are important for early B-cell development. This review provides an overview of our current understanding of the molecular interplay that occurs between transcription factors and signaling events during normal and malignant B-lymphocyte development.
Collapse
Affiliation(s)
- Mikael Sigvardsson
- Department of Biomedical and Clinical Sciences, Linköping University, 58185 Linköping, Sweden; Division of Molecular Hematology, Lund University, 22184 Lund, Sweden
| |
Collapse
|
22
|
Beik SP, Harris LA, Kochen MA, Sage J, Quaranta V, Lopez CF. Unified tumor growth mechanisms from multimodel inference and dataset integration. PLoS Comput Biol 2023; 19:e1011215. [PMID: 37406008 DOI: 10.1371/journal.pcbi.1011215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 05/25/2023] [Indexed: 07/07/2023] Open
Abstract
Mechanistic models of biological processes can explain observed phenomena and predict responses to a perturbation. A mathematical model is typically constructed using expert knowledge and informal reasoning to generate a mechanistic explanation for a given observation. Although this approach works well for simple systems with abundant data and well-established principles, quantitative biology is often faced with a dearth of both data and knowledge about a process, thus making it challenging to identify and validate all possible mechanistic hypothesis underlying a system behavior. To overcome these limitations, we introduce a Bayesian multimodel inference (Bayes-MMI) methodology, which quantifies how mechanistic hypotheses can explain a given experimental datasets, and concurrently, how each dataset informs a given model hypothesis, thus enabling hypothesis space exploration in the context of available data. We demonstrate this approach to probe standing questions about heterogeneity, lineage plasticity, and cell-cell interactions in tumor growth mechanisms of small cell lung cancer (SCLC). We integrate three datasets that each formulated different explanations for tumor growth mechanisms in SCLC, apply Bayes-MMI and find that the data supports model predictions for tumor evolution promoted by high lineage plasticity, rather than through expanding rare stem-like populations. In addition, the models predict that in the presence of cells associated with the SCLC-N or SCLC-A2 subtypes, the transition from the SCLC-A subtype to the SCLC-Y subtype through an intermediate is decelerated. Together, these predictions provide a testable hypothesis for observed juxtaposed results in SCLC growth and a mechanistic interpretation for tumor treatment resistance.
Collapse
Affiliation(s)
- Samantha P Beik
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Leonard A Harris
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas, United States of America
- Interdisciplinary Graduate Program in Cell & Molecular Biology, University of Arkansas, Fayetteville, Arkansas, United States of America
- Cancer Biology Program, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Michael A Kochen
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Julien Sage
- Departments of Pediatrics, Stanford University, Stanford, California, United States of America
- Departments of Genetics, Stanford University, Stanford, California, United States of America
| | - Vito Quaranta
- Program in Chemical and Physical Biology, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Carlos F Lopez
- Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, United States of America
- Altos Laboratories, Redwood City, California, United States of America
| |
Collapse
|
23
|
Capp J, Thomas F, Marusyk A, M. Dujon A, Tissot S, Gatenby R, Roche B, Ujvari B, DeGregori J, Brown JS, Nedelcu AM. The paradox of cooperation among selfish cancer cells. Evol Appl 2023; 16:1239-1256. [PMID: 37492150 PMCID: PMC10363833 DOI: 10.1111/eva.13571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 05/19/2023] [Accepted: 06/06/2023] [Indexed: 07/27/2023] Open
Abstract
It is traditionally assumed that during cancer development, tumor cells abort their initially cooperative behavior (i.e., cheat) in favor of evolutionary strategies designed solely to enhance their own fitness (i.e., a "selfish" life style) at the expense of that of the multicellular organism. However, the growth and progress of solid tumors can also involve cooperation among these presumed selfish cells (which, by definition, should be noncooperative) and with stromal cells. The ultimate and proximate reasons behind this paradox are not fully understood. Here, in the light of current theories on the evolution of cooperation, we discuss the possible evolutionary mechanisms that could explain the apparent cooperative behaviors among selfish malignant cells. In addition to the most classical explanations for cooperation in cancer and in general (by-product mutualism, kin selection, direct reciprocity, indirect reciprocity, network reciprocity, group selection), we propose the idea that "greenbeard" effects are relevant to explaining some cooperative behaviors in cancer. Also, we discuss the possibility that malignant cooperative cells express or co-opt cooperative traits normally expressed by healthy cells. We provide examples where considerations of these processes could help understand tumorigenesis and metastasis and argue that this framework provides novel insights into cancer biology and potential strategies for cancer prevention and treatment.
Collapse
Affiliation(s)
- Jean‐Pascal Capp
- Toulouse Biotechnology InstituteUniversity of Toulouse, INSA, CNRS, INRAEToulouseFrance
| | - Frédéric Thomas
- CREEC, MIVEGECUniversity of Montpellier, CNRS, IRDMontpellierFrance
| | - Andriy Marusyk
- Department of Cancer PhysiologyH Lee Moffitt Cancer Center and Research InstituteTampaFloridaUSA
| | - Antoine M. Dujon
- Centre for Integrative Ecology, School of Life and Environmental SciencesDeakin UniversityGeelongVictoriaAustralia
| | - Sophie Tissot
- Department of Biochemistry and Molecular GeneticsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Robert Gatenby
- Department of Cancer PhysiologyH Lee Moffitt Cancer Center and Research InstituteTampaFloridaUSA
| | - Benjamin Roche
- Department of Biochemistry and Molecular GeneticsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Beata Ujvari
- Centre for Integrative Ecology, School of Life and Environmental SciencesDeakin UniversityGeelongVictoriaAustralia
| | - James DeGregori
- Department of Biochemistry and Molecular GeneticsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Joel S. Brown
- Department of Cancer PhysiologyH Lee Moffitt Cancer Center and Research InstituteTampaFloridaUSA
| | - Aurora M. Nedelcu
- Department of BiologyUniversity of New BrunswickFrederictonNew BrunswickCanada
| |
Collapse
|
24
|
Lee ND, Kaveh K, Bozic I. Clonal interactions in cancer: integrating quantitative models with experimental and clinical data. Semin Cancer Biol 2023; 92:61-73. [PMID: 37023969 DOI: 10.1016/j.semcancer.2023.04.002] [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: 11/30/2022] [Revised: 02/16/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023]
Abstract
Tumors consist of different genotypically distinct subpopulations-or subclones-of cells. These subclones can influence neighboring clones in a process called "clonal interaction." Conventionally, research on driver mutations in cancer has focused on their cell-autonomous effects that lead to an increase in fitness of the cells containing the driver. Recently, with the advent of improved experimental and computational technologies for investigating tumor heterogeneity and clonal dynamics, new studies have shown the importance of clonal interactions in cancer initiation, progression, and metastasis. In this review we provide an overview of clonal interactions in cancer, discussing key discoveries from a diverse range of approaches to cancer biology research. We discuss common types of clonal interactions, such as cooperation and competition, its mechanisms, and the overall effect on tumorigenesis, with important implications for tumor heterogeneity, resistance to treatment, and tumor suppression. Quantitative models-in coordination with cell culture and animal model experiments-have played a vital role in investigating the nature of clonal interactions and the complex clonal dynamics they generate. We present mathematical and computational models that can be used to represent clonal interactions and provide examples of the roles they have played in identifying and quantifying the strength of clonal interactions in experimental systems. Clonal interactions have proved difficult to observe in clinical data; however, several very recent quantitative approaches enable their detection. We conclude by discussing ways in which researchers can further integrate quantitative methods with experimental and clinical data to elucidate the critical-and often surprising-roles of clonal interactions in human cancers.
Collapse
Affiliation(s)
- Nathan D Lee
- Department of Applied Mathematics, University of Washington, Seattle, WA, United States of America
| | - Kamran Kaveh
- Department of Applied Mathematics, University of Washington, Seattle, WA, United States of America
| | - Ivana Bozic
- Department of Applied Mathematics, University of Washington, Seattle, WA, United States of America; Herbold Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
| |
Collapse
|
25
|
Ozen M, Lopez CF. Data-driven structural analysis of Small Cell Lung Cancer transcription factor network suggests potential subtype regulators and transition pathways. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.01.535226. [PMID: 37066351 PMCID: PMC10104011 DOI: 10.1101/2023.04.01.535226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Small Cell Lung Cancer (SCLC) is an aggressive disease and challenging to treat due to its mixture of transcriptional subtypes and subtype transitions. Transcription factor (TF) networks have been the focus of studies to identify SCLC subtype regulators via systems approaches. Yet, their structures, which can provide clues on subtype drivers and transitions, are barely investigated. Here, we analyze the structure of an SCLC TF network by using graph theory concepts and identify its structurally important components responsible for complex signal processing, called hubs. We show that the hubs of the network are regulators of different SCLC subtypes by analyzing first the unbiased network structure and then integrating RNA-seq data as weights assigned to each interaction. Data-driven analysis emphasizes MYC as a hub, consistent with recent reports. Furthermore, we hypothesize that the pathways connecting functionally distinct hubs may control subtype transitions and test this hypothesis via network simulations on a candidate pathway and observe subtype transition. Overall, structural analyses of complex networks can identify their functionally important components and pathways driving the network dynamics. Such analyses can be an initial step for generating hypotheses and can guide the discovery of target pathways whose perturbation may change the network dynamics phenotypically.
Collapse
Affiliation(s)
- Mustafa Ozen
- Dept. of Biochemistry, Vanderbilt University, Nashville, TN 37212, USA
- Currently at: Computational Innovation Hub, Multiscale Modeling Group, Altos Labs, Redwood City, CA 94065, USA
| | - Carlos F. Lopez
- Dept. of Biochemistry, Vanderbilt University, Nashville, TN 37212, USA
- Currently at: Computational Innovation Hub, Multiscale Modeling Group, Altos Labs, Redwood City, CA 94065, USA
| |
Collapse
|
26
|
Zhang H, Yang Y, Li X, Yuan X, Chu Q. Targeting the Notch signaling pathway and the Notch ligand, DLL3, in small cell lung cancer. Biomed Pharmacother 2023; 159:114248. [PMID: 36645960 DOI: 10.1016/j.biopha.2023.114248] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/15/2023] Open
Abstract
Small cell lung cancer (SCLC) is a highly aggressive and poorly differentiated cancer with high-grade neuroendocrine (NE) features, accounting for approximately 15 % of all lung cancers. For decades, chemotherapy and radiotherapy have predominated the treatment strategy for SCLC, but relapses ensue quickly and result in poor survival of patients. Immunotherapy has brought novel insights, yet the efficacy is still restricted to a limited population with SCLC. Notch signaling is identified to play a key role in the initiation and development of SCLC, and the Notch ligand, Delta-like ligand 3 (DLL3) is found broadly and specifically expressed in SCLC cells. Thus, Notch signaling is under active exploration as a potential therapeutic target in SCLC. Herein, we summarized and updated the functional relevance of Notch signaling in SCLC, discussed Notch signaling-targeted therapy for SCLC and the correspondent preclinical and clinical trials, and investigated the promising synergy effects of Notch signaling targeted therapy and immune checkpoint inhibitors (ICIs) treatment.
Collapse
Affiliation(s)
- Huan Zhang
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| | - Yunkai Yang
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| | - Xuchang Li
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| | - Xun Yuan
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| | - Qian Chu
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China.
| |
Collapse
|
27
|
Molecular features and evolutionary trajectory of ASCL1 + and NEUROD1 + SCLC cells. Br J Cancer 2023; 128:748-759. [PMID: 36517551 PMCID: PMC9977910 DOI: 10.1038/s41416-022-02103-y] [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: 02/03/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Small cell lung cancer (SCLC) is the most aggressive subtype of lung cancer without recognised morphologic or genetic heterogeneity. Based on the expression of four transcription factors, ASCL1, NEUROD1, POU2F3, and YAP1, SCLCs are classified into four subtypes. However, biological functions of these different subtypes are largely uncharacterised. METHODS We studied intratumoural heterogeneity of resected human primary SCLC tissues using single-cell RNA-Seq. In addition, we undertook a series of in vitro and in vivo functional studies to reveal the distinct features of SCLC subtypes. RESULTS We identify the coexistence of ASCL1+ and NEUROD1+ SCLC cells within the same human primary SCLC tissue. Compared with ASCL1+ SCLC cells, NEUROD1+ SCLC cells show reduced epithelial features and lack EPCAM expression. Thus, EPCAM can be considered as a cell surface marker to distinguish ASCL1+ SCLC cells from NEUROD1+ SCLC cells. We further demonstrate that NEUROD1+ SCLC cells exhibit higher metastatic capability than ASCL1+ SCLC cells and can be derived from ASCL1+ SCLC cells. CONCLUSIONS Our studies unveil the biology and evolutionary trajectory of ASCL1+ and NEUROD1+ SCLC cells, shedding light on SCLC tumourigenesis and progression.
Collapse
|
28
|
Groves SM, Panchy N, Tyson DR, Harris LA, Quaranta V, Hong T. Involvement of Epithelial-Mesenchymal Transition Genes in Small Cell Lung Cancer Phenotypic Plasticity. Cancers (Basel) 2023; 15:1477. [PMID: 36900269 PMCID: PMC10001072 DOI: 10.3390/cancers15051477] [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: 01/03/2023] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 03/03/2023] Open
Abstract
Small cell lung cancer (SCLC) is an aggressive cancer recalcitrant to treatment, arising predominantly from epithelial pulmonary neuroendocrine (NE) cells. Intratumor heterogeneity plays critical roles in SCLC disease progression, metastasis, and treatment resistance. At least five transcriptional SCLC NE and non-NE cell subtypes were recently defined by gene expression signatures. Transition from NE to non-NE cell states and cooperation between subtypes within a tumor likely contribute to SCLC progression by mechanisms of adaptation to perturbations. Therefore, gene regulatory programs distinguishing SCLC subtypes or promoting transitions are of great interest. Here, we systematically analyze the relationship between SCLC NE/non-NE transition and epithelial to mesenchymal transition (EMT)-a well-studied cellular process contributing to cancer invasiveness and resistance-using multiple transcriptome datasets from SCLC mouse tumor models, human cancer cell lines, and tumor samples. The NE SCLC-A2 subtype maps to the epithelial state. In contrast, SCLC-A and SCLC-N (NE) map to a partial mesenchymal state (M1) that is distinct from the non-NE, partial mesenchymal state (M2). The correspondence between SCLC subtypes and the EMT program paves the way for further work to understand gene regulatory mechanisms of SCLC tumor plasticity with applicability to other cancer types.
Collapse
Affiliation(s)
- Sarah M. Groves
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Nicholas Panchy
- Department of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
| | - Darren R. Tyson
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37235, USA
| | - Leonard A. Harris
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
- Interdisciplinary Graduate Program in Cell and Molecular Biology, University of Arkansas, Fayetteville, AR 72701, USA
- Cancer Biology Program, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Vito Quaranta
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37235, USA
| | - Tian Hong
- Department of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, TN 37996, USA
- National Institute for Mathematical and Biological Synthesis, Knoxville, TN 37996, USA
| |
Collapse
|
29
|
Lee MC, Cai H, Murray CW, Li C, Shue YT, Andrejka L, He AL, Holzem AME, Drainas AP, Ko JH, Coles GL, Kong C, Zhu S, Zhu C, Wang J, van de Rijn M, Petrov DA, Winslow MM, Sage J. A multiplexed in vivo approach to identify driver genes in small cell lung cancer. Cell Rep 2023; 42:111990. [PMID: 36640300 PMCID: PMC9972901 DOI: 10.1016/j.celrep.2023.111990] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 10/24/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023] Open
Abstract
Small cell lung cancer (SCLC) is a lethal form of lung cancer. Here, we develop a quantitative multiplexed approach on the basis of lentiviral barcoding with somatic CRISPR-Cas9-mediated genome editing to functionally investigate candidate regulators of tumor initiation and growth in genetically engineered mouse models of SCLC. We found that naphthalene pre-treatment enhances lentiviral vector-mediated SCLC initiation, enabling high multiplicity of tumor clones for analysis through high-throughput sequencing methods. Candidate drivers of SCLC identified from a meta-analysis across multiple human SCLC genomic datasets were tested using this approach, which defines both positive and detrimental impacts of inactivating 40 genes across candidate pathways on SCLC development. This analysis and subsequent validation in human SCLC cells establish TSC1 in the PI3K-AKT-mTOR pathway as a robust tumor suppressor in SCLC. This approach should illuminate drivers of SCLC, facilitate the development of precision therapies for defined SCLC genotypes, and identify therapeutic targets.
Collapse
Affiliation(s)
- Myung Chang Lee
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Hongchen Cai
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - Chuan Li
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Yan Ting Shue
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Laura Andrejka
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Andy L He
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Alessandra M E Holzem
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Alexandros P Drainas
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Julie H Ko
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Garry L Coles
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Christina Kong
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Shirley Zhu
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - ChunFang Zhu
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Jason Wang
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Matt van de Rijn
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Dmitri A Petrov
- Department of Biology, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Julien Sage
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA.
| |
Collapse
|
30
|
Yamamoto A, Doak AE, Cheung KJ. Orchestration of Collective Migration and Metastasis by Tumor Cell Clusters. ANNUAL REVIEW OF PATHOLOGY 2023; 18:231-256. [PMID: 36207009 DOI: 10.1146/annurev-pathmechdis-031521-023557] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Metastatic dissemination has lethal consequences for cancer patients. Accruing evidence supports the hypothesis that tumor cells can migrate and metastasize as clusters of cells while maintaining contacts with one another. Collective metastasis enables tumor cells to colonize secondary sites more efficiently, resist cell death, and evade the immune system. On the other hand, tumor cell clusters face unique challenges for dissemination particularly during systemic dissemination. Here, we review recent progress toward understanding how tumor cell clusters overcome these disadvantages as well as mechanisms they utilize to gain advantages throughout the metastatic process. We consider useful models for studying collective metastasis and reflect on how the study of collective metastasis suggests new opportunities for eradicating and preventing metastatic disease.
Collapse
Affiliation(s)
- Ami Yamamoto
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Andrea E Doak
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Kevin J Cheung
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , ,
| |
Collapse
|
31
|
Neuroendocrine neoplasms of the lung and gastrointestinal system: convergent biology and a path to better therapies. Nat Rev Clin Oncol 2023; 20:16-32. [PMID: 36307533 DOI: 10.1038/s41571-022-00696-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2022] [Indexed: 11/08/2022]
Abstract
Neuroendocrine neoplasms (NENs) can develop in almost any organ and span a spectrum from well-differentiated and indolent neuroendocrine tumours (NETs) to poorly differentiated and highly aggressive neuroendocrine carcinomas (NECs), including small-cell lung cancer (SCLC). These neoplasms are thought to primarily derive from neuroendocrine precursor cells located throughout the body and can also arise through neuroendocrine transdifferentiation of organ-specific epithelial cell types. Hence, NENs constitute a group of tumour types that share key genomic and phenotypic characteristics irrespective of their site of origin, albeit with some organ-specific differences. The establishment of representative preclinical models for several of these disease entities together with analyses of human tumour specimens has provided important insights into crucial aspects of their biology with therapeutic implications. In this Review, we provide a comprehensive overview of the current understanding of NENs of the gastrointestinal system and lung from clinical and biological perspectives. Research on NENs has typically been siloed by the tumour site of origin, and a cross-cutting view might enable advances in one area to accelerate research in others. Therefore, we aim to emphasize that a better understanding of the commonalities and differences of NENs arising in different organs might more effectively inform clinical research to define therapeutic targets and ultimately optimize patient care.
Collapse
|
32
|
Gopal P, Petty A, Rogacki K, Bera T, Bareja R, Peacock CD, Abazeed ME. Multivalent state transitions shape the intratumoral composition of small cell lung carcinoma. SCIENCE ADVANCES 2022; 8:eabp8674. [PMID: 36516249 PMCID: PMC9750150 DOI: 10.1126/sciadv.abp8674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 10/26/2022] [Indexed: 06/17/2023]
Abstract
Studies to date have not resolved how diverse transcriptional programs contribute to the intratumoral heterogeneity of small cell lung carcinoma (SCLC), an aggressive tumor associated with a dismal prognosis. Here, we identify distinct and commutable transcriptional states that confer discrete functional attributes in individual SCLC tumors. We combine an integrative approach comprising the transcriptomes of 52,975 single cells, high-resolution measurement of cell state dynamics at the single-cell level, and functional and correlative studies using treatment naïve xenografts with associated clinical outcomes. We show that individual SCLC tumors contain distinctive proportions of stable cellular states that are governed by bidirectional cell state transitions. Using drugs that target the epigenome, we reconfigure tumor state composition in part by altering individual state transition rates. Our results reveal new insights into how single-cell transition behaviors promote cell state equilibrium in SCLC and suggest that facile plasticity underlies its resistance to therapy and lethality.
Collapse
Affiliation(s)
- Priyanka Gopal
- Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, 251 E. Huron St., Galter Pavilion LC-178, Chicago, IL 60611, USA
| | - Aaron Petty
- Department of Translational Hematology Oncology Research, Cleveland Clinic, 2111 East 96th St./NE-6, Cleveland, OH 44195, USA
| | - Kevin Rogacki
- Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, 251 E. Huron St., Galter Pavilion LC-178, Chicago, IL 60611, USA
| | - Titas Bera
- Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, 251 E. Huron St., Galter Pavilion LC-178, Chicago, IL 60611, USA
| | - Rohan Bareja
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Ave., New York, NY 10021, USA
| | - Craig D. Peacock
- Department of Genetics and Genome Sciences, Case Western Reserve University, 2109 Adelbert Road, Biomedical Research Building 647B, Cleveland, OH 44106, USA
| | - Mohamed E. Abazeed
- Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, 251 E. Huron St., Galter Pavilion LC-178, Chicago, IL 60611, USA
- Robert H. Lurie Cancer Center, Northwestern University, 303 E. Superior St./Lurie 7, Chicago, IL 60611, USA
| |
Collapse
|
33
|
Lau YMA, Pang J, Tilstra G, Couture-Senécal J, Khan OF. The engineering challenges and opportunities when designing potent ionizable materials for the delivery of ribonucleic acids. Expert Opin Drug Deliv 2022; 19:1650-1663. [PMID: 36377494 DOI: 10.1080/17425247.2022.2144827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Ionizable lipids are critical components in lipid nanoparticles. These molecules sequester nucleic acids for delivery to cells. However, to build more efficacious delivery molecules, the field must continue to broaden structure-function studies for greater insight. While nucleic acid-binding efficiency, degradability and nanoparticle stability are vitally important, this review offers perspective on additional factors that must be addressed to improve delivery efficiency. AREAS COVERED We discuss how administration route, cellular heterogeneity, uptake pathway, endosomal escape timing, age, sex, and threshold effects can change depending on the type of LNP ionizable lipid. EXPERT OPINION Ionizable lipid structure-function studies often focus on the efficiency of RNA utilization and biodistribution. While these focus areas are critical, they remain high-level observations. As our tools for observation and system interrogation improve, we believe that the field should begin collecting additional data. At the cellular level, this data should include age (dividing or senescent cells), sex and phenotype, cell entry pathway, and endosome type. Additionally, administration route and dose are essential to track. This additional data will allow us to identify and understand heterogeneity in LNP efficacy across patient populations, which will help us provide better ionizable lipid options for different groups.
Collapse
Affiliation(s)
- Yan Ming Anson Lau
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Janice Pang
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Grayson Tilstra
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | | | - Omar F Khan
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.,Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
34
|
Tian Y, Li Q, Yang Z, Zhang S, Xu J, Wang Z, Bai H, Duan J, Zheng B, Li W, Cui Y, Wang X, Wan R, Fei K, Zhong J, Gao S, He J, Gay CM, Zhang J, Wang J, Tang F. Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer. Signal Transduct Target Ther 2022; 7:346. [PMID: 36195615 PMCID: PMC9532437 DOI: 10.1038/s41392-022-01150-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 12/03/2022] Open
Abstract
Small-cell lung cancer (SCLC) is the most aggressive and lethal subtype of lung cancer, for which, better understandings of its biology are urgently needed. Single-cell sequencing technologies provide an opportunity to profile individual cells within the tumor microenvironment (TME) and investigate their roles in tumorigenic processes. Here, we performed high-precision single-cell transcriptomic analysis of ~5000 individual cells from primary tumors (PTs) and matched normal adjacent tissues (NATs) from 11 SCLC patients, including one patient with both PT and relapsed tumor (RT). The comparison revealed an immunosuppressive landscape of human SCLC. Malignant cells in SCLC tumors exhibited diverse states mainly related to the cell cycle, immune, and hypoxic properties. Our data also revealed the intratumor heterogeneity (ITH) of key transcription factors (TFs) in SCLC and related gene expression patterns and functions. The non-neuroendocrine (non-NE) tumors were correlated with increased inflammatory gene signatures and immune cell infiltrates in SCLC, which contributed to better responses to immune checkpoint inhibitors. These findings indicate a significant heterogeneity of human SCLC, and intensive crosstalk between cancer cells and the TME at single-cell resolution, and thus, set the stage for a better understanding of the biology of SCLC as well as for developing new therapeutics for SCLC.
Collapse
Affiliation(s)
- Yanhua Tian
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qingqing Li
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing, China.,Beijing Advanced Innovation Center for Genomics & Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, China
| | - Zhenlin Yang
- Department of Throacic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu Zhang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing, China.,Beijing Advanced Innovation Center for Genomics & Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, China
| | - Jiachen Xu
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zheng
- Department of Throacic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen Li
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing, China.,Beijing Advanced Innovation Center for Genomics & Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, China.,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yueli Cui
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing, China.,Beijing Advanced Innovation Center for Genomics & Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, China
| | - Xin Wang
- Department of Throacic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Wan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kailun Fei
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jia Zhong
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jianjun Zhang
- Department of Thoracic/Head & Neck Medical Oncology, UT MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Fuchou Tang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing, China. .,Beijing Advanced Innovation Center for Genomics & Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, China. .,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China. .,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
| |
Collapse
|
35
|
Groves SM, Ildefonso GV, McAtee CO, Ozawa PMM, Ireland AS, Stauffer PE, Wasdin PT, Huang X, Qiao Y, Lim JS, Bader J, Liu Q, Simmons AJ, Lau KS, Iams WT, Hardin DP, Saff EB, Holmes WR, Tyson DR, Lovly CM, Rathmell JC, Marth G, Sage J, Oliver TG, Weaver AM, Quaranta V. Archetype tasks link intratumoral heterogeneity to plasticity and cancer hallmarks in small cell lung cancer. Cell Syst 2022; 13:690-710.e17. [PMID: 35981544 PMCID: PMC9615940 DOI: 10.1016/j.cels.2022.07.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 05/10/2022] [Accepted: 07/25/2022] [Indexed: 01/26/2023]
Abstract
Small cell lung cancer (SCLC) tumors comprise heterogeneous mixtures of cell states, categorized into neuroendocrine (NE) and non-neuroendocrine (non-NE) transcriptional subtypes. NE to non-NE state transitions, fueled by plasticity, likely underlie adaptability to treatment and dismal survival rates. Here, we apply an archetypal analysis to model plasticity by recasting SCLC phenotypic heterogeneity through multi-task evolutionary theory. Cell line and tumor transcriptomics data fit well in a five-dimensional convex polytope whose vertices optimize tasks reminiscent of pulmonary NE cells, the SCLC normal counterparts. These tasks, supported by knowledge and experimental data, include proliferation, slithering, metabolism, secretion, and injury repair, reflecting cancer hallmarks. SCLC subtypes, either at the population or single-cell level, can be positioned in archetypal space by bulk or single-cell transcriptomics, respectively, and characterized as task specialists or multi-task generalists by the distance from archetype vertex signatures. In the archetype space, modeling single-cell plasticity as a Markovian process along an underlying state manifold indicates that task trade-offs, in response to microenvironmental perturbations or treatment, may drive cell plasticity. Stifling phenotypic transitions and plasticity may provide new targets for much-needed translational advances in SCLC. A record of this paper's Transparent Peer Review process is included in the supplemental information.
Collapse
Affiliation(s)
- Sarah M Groves
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Geena V Ildefonso
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Caitlin O McAtee
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA
| | - Patricia M M Ozawa
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA
| | - Abbie S Ireland
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Philip E Stauffer
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Perry T Wasdin
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Xiaomeng Huang
- Utah Center for Genetic Discovery, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
| | - Yi Qiao
- Utah Center for Genetic Discovery, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
| | - Jing Shan Lim
- Department of Pediatrics and Genetics, Stanford University, Stanford, CA 94305, USA
| | - Jackie Bader
- Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Qi Liu
- Department of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Alan J Simmons
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37235, USA
| | - Ken S Lau
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37235, USA
| | - Wade T Iams
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Doug P Hardin
- Department of Mathematics and Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235, USA
| | - Edward B Saff
- Department of Mathematics, Vanderbilt University, Nashville, TN 37235, USA
| | - William R Holmes
- Department of Mathematics, Vanderbilt University, Nashville, TN 37235, USA; Department of Physics, Vanderbilt University, Nashville, TN 37235, USA
| | - Darren R Tyson
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA
| | - Christine M Lovly
- Department of Mathematics and Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235, USA; Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Jeffrey C Rathmell
- Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Gabor Marth
- Utah Center for Genetic Discovery, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
| | - Julien Sage
- Department of Pediatrics and Genetics, Stanford University, Stanford, CA 94305, USA
| | - Trudy G Oliver
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Alissa M Weaver
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37235, USA
| | - Vito Quaranta
- Department of Biochemistry, Vanderbilt University, Nashville, TN 37235, USA.
| |
Collapse
|
36
|
Coggan H, Page KM. The role of evolutionary game theory in spatial and non-spatial models of the survival of cooperation in cancer: a review. JOURNAL OF THE ROYAL SOCIETY, INTERFACE 2022; 19:20220346. [PMID: 35975562 PMCID: PMC9382458 DOI: 10.1098/rsif.2022.0346] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Evolutionary game theory (EGT) is a branch of mathematics which considers populations of individuals interacting with each other to receive pay-offs. An individual’s pay-off is dependent on the strategy of its opponent(s) as well as on its own, and the higher its pay-off, the higher its reproductive fitness. Its offspring generally inherit its interaction strategy, subject to random mutation. Over time, the composition of the population shifts as different strategies spread or are driven extinct. In the last 25 years there has been a flood of interest in applying EGT to cancer modelling, with the aim of explaining how cancerous mutations spread through healthy tissue and how intercellular cooperation persists in tumour-cell populations. This review traces this body of work from theoretical analyses of well-mixed infinite populations through to more realistic spatial models of the development of cooperation between epithelial cells. We also consider work in which EGT has been used to make experimental predictions about the evolution of cancer, and discuss work that remains to be done before EGT can make large-scale contributions to clinical treatment and patient outcomes.
Collapse
Affiliation(s)
- Helena Coggan
- Department of Mathematics, University College London, London, UK
| | - Karen M Page
- Department of Mathematics, University College London, London, UK
| |
Collapse
|
37
|
Clonal evolution and expansion associated with therapy resistance and relapse of colorectal cancer. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2022; 790:108445. [PMID: 36371022 DOI: 10.1016/j.mrrev.2022.108445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/10/2022]
Abstract
Colorectal cancer (CRC) arises by a continuous process of genetic diversification and clonal evolution. Multiple genes and pathways have a role in tumor initiation and progression. The gradual accumulation of genetic and epigenetic processes leads to the establishment of adenoma and cancer. The important 'driver' mutations in tumor suppressor genes (such as TP53, APC, and SMAD4) and oncogenes (such as KRAS, NRAS, MET, and PIK3CA) confer selective growth advantages and cause CRC advancement. Clonal evolution induced by therapeutic pressure, as well as intra-tumoral heterogeneity, has been a great challenge in the treatment of metastatic CRC. Tumors often develop resistance to treatments as a result of intra-tumor heterogeneity, clonal evolution, and selection. Hence, the development of a multidrug personalized approach should be prioritized to pave the way for therapeutics repurposing and combination therapy to arrest tumor progression. This review summarizes how selective drug pressure can impact tumor evolution, resulting in the formation of polyclonal resistance mechanisms, ultimately promoting cancer progression. Current strategies for targeting clonal evolution are described. By understanding sources and consequences of tumor heterogeneity, customized and effective treatment plans to combat drug resistance may be devised.
Collapse
|
38
|
Jin Y, Zhao Q, Zhu W, Feng Y, Xiao T, Zhang P, Jiang L, Hou Y, Guo C, Huang H, Chen Y, Tong X, Cao J, Li F, Zhu X, Qin J, Gao D, Liu XY, Zhang H, Chen L, Thomas RK, Wong KK, Zhang L, Wang Y, Hu L, Ji H. Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis. Natl Sci Rev 2022; 9:nwab232. [PMID: 35967587 PMCID: PMC9365451 DOI: 10.1093/nsr/nwab232] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 11/13/2022] Open
Abstract
Small-cell lung cancer (SCLC) is a recalcitrant cancer characterized by high metastasis. However, the exact cell type contributing to metastasis remains elusive. Using a Rb1 L/L /Trp53 L/L mouse model, we identify the NCAMhiCD44lo/- subpopulation as the SCLC metastasizing cell (SMC), which is progressively transitioned from the non-metastasizing NCAMloCD44hi cell (non-SMC). Integrative chromatin accessibility and gene expression profiling studies reveal the important role of the SWI/SNF complex, and knockout of its central component, Brg1, significantly inhibits such phenotypic transition and metastasis. Mechanistically, TAZ is silenced by the SWI/SNF complex during SCLC malignant progression, and its knockdown promotes SMC transition and metastasis. Importantly, ectopic TAZ expression reversely drives SMC-to-non-SMC transition and alleviates metastasis. Single-cell RNA-sequencing analyses identify SMC as the dominant subpopulation in human SCLC metastasis, and immunostaining data show a positive correlation between TAZ and patient prognosis. These data uncover high SCLC plasticity and identify TAZ as the key molecular switch in orchestrating SCLC phenotypic transition and metastasis.
Collapse
Affiliation(s)
- Yujuan Jin
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Qiqi Zhao
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Weikang Zhu
- Center for Excellence in Mathematical Sciences, National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Management, Decision and Information System, Hua Loo-Keng Center for Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
| | - Yan Feng
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Tian Xiao
- Shenzhen Key Laboratory of Translational Medicine of Tumor, Department of Cell Biology and Genetics, Shenzhen University Health Sciences Center, Shenzhen 518060, China
| | - Peng Zhang
- Shanghai Pulmonary Hospital, Tongji University, Shanghai 200092, China
| | - Liyan Jiang
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Yingyong Hou
- Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chenchen Guo
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hsinyi Huang
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yabin Chen
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xinyuan Tong
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jiayu Cao
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Xueliang Zhu
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai 200120, China
| | - Jun Qin
- CAS Key Laboratory of Tissue Microenvironment and Tumor, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Nutrition and Health Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Dong Gao
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xin-Yuan Liu
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hua Zhang
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY 10016, USA
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Roman K Thomas
- Department of Translational Genomics, Center of Integrated Oncology Cologne-Bonn, Medical Faculty, University of Cologne, Cologne 50931, Germany
- Department of Pathology, University Hospital Cologne, Cologne 50937, Germany
| | - Kwok-Kin Wong
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY 10016, USA
| | - Lei Zhang
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Yong Wang
- Center for Excellence in Mathematical Sciences, National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Management, Decision and Information System, Hua Loo-Keng Center for Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Liang Hu
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hongbin Ji
- State Key Laboratory of Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| |
Collapse
|
39
|
Dai X, Cai L, He F. Single-cell sequencing: expansion, integration and translation. Brief Funct Genomics 2022; 21:280-295. [PMID: 35753690 DOI: 10.1093/bfgp/elac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 05/16/2022] [Accepted: 05/24/2022] [Indexed: 12/11/2022] Open
Abstract
With the rapid advancement in sequencing technologies, the concept of omics has revolutionized our understanding of cellular behaviors. Conventional omics investigation approaches measure the averaged behaviors of multiple cells, which may easily hide signals represented by a small-cell cohort, urging for the development of techniques with enhanced resolution. Single-cell RNA sequencing, investigating cell transcriptomics at the resolution of a single cell, has been rapidly expanded to investigate other omics such as genomics, proteomics and metabolomics since its invention. The requirement for comprehensive understanding of complex cellular behavior has led to the integration of multi-omics and single-cell sequencing data with other layers of information such as spatial data and the CRISPR screening technique towards gained knowledge or innovative functionalities. The development of single-cell sequencing in both dimensions has rendered it a unique field that offers us a versatile toolbox to delineate complex diseases, including cancers.
Collapse
|
40
|
Li H, Zhong R, He C, Tang C, Cui H, Li R, Liu Y, Lan S, Cheng Y. Colony‑stimulating factor CSF2 mediates the phenotypic plasticity of small‑cell lung cancer by regulating the p‑STAT3/MYC pathway. Oncol Rep 2022; 48:122. [PMID: 35583004 PMCID: PMC9164265 DOI: 10.3892/or.2022.8333] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/20/2022] [Indexed: 11/16/2022] Open
Abstract
Relapse and drug resistance are the main causes of mortality in patients with small-cell lung cancer (SCLC). Intratumoral heterogeneity (ITH) is a key biological mechanism that leads to relapse and drug resistance. Phenotypic plasticity is an important factor that leads to ITH in SCLC, although its mechanisms and key regulatory factors remain to be elucidated. In the present study, cell proliferation and cell switch assay were measured using trypan blue. Alamar Blue was used to test drug sensitivity. Differential genes were screened by RNA sequencing. Reverse transcription-quantitative PCR and western blotting were performed to assess the expressions of CSF2/p-STAT3/MYC pathway related molecules, neuroendocrine (NE)/non-neuroendocrine (non-NE), transcription factors and drug-related targets. The present study found that SCLC cell line NCI-H69 exhibited adherent (H69A) and suspensive (H69S) phenotypes, which could switch back and forth. The two phenotypic cells had significant differences in cellular NE and non-NE characteristics, drug sensitivity and expression of drug-related targets. RNA sequencing showed that granulocyte-macrophage colony-stimulating factor [i.e., colony-stimulating factor 2 (CSF2)] was the main differentially expressed gene between the two phenotypes and that H69A cells highly expressed CSF2. The inhibition of CSF2 promoted the transformation from H69A to H69S, increased drug sensitivity and NE marker expression and decreased the non-NE marker expression in H69A. The STRING, Pathway Commons and Reactome databases showed a potential regulatory relationship between CSF2 and phosphorylated signal transducer and activator of transcription 3 (p-STAT3)/MYC. p-STAT3 and MYC expression was higher in H69A cells than in H69S cells and CSF2 silencing inhibited their expression. Taken together, these results indicated that CSF2 may regulate the phenotypic plasticity of SCLC through the phosphorylated STAT3/MYC pathway, thereby limiting the transformation between cell clones with different phenotypes and changing the sensitivity of specific cell clones to targeted drugs. Targeting CSF2 may be a potential therapeutic strategy to overcome drug resistance in SCLC treatment by influencing ITH.
Collapse
Affiliation(s)
- Hui Li
- Translational Cancer Research Lab, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Rui Zhong
- Translational Cancer Research Lab, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Chunying He
- Biobank, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Chenchen Tang
- Biobank, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Heran Cui
- Biobank, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Rixin Li
- Biobank, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Yan Liu
- Translational Cancer Research Lab, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Shaowei Lan
- Translational Cancer Research Lab, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| | - Ying Cheng
- Translational Cancer Research Lab, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
| |
Collapse
|
41
|
A conserved YAP/Notch/REST network controls the neuroendocrine cell fate in the lungs. Nat Commun 2022; 13:2690. [PMID: 35577801 PMCID: PMC9110333 DOI: 10.1038/s41467-022-30416-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 04/20/2022] [Indexed: 12/30/2022] Open
Abstract
The Notch pathway is a conserved cell-cell communication pathway that controls cell fate decisions. Here we sought to determine how Notch pathway activation inhibits the neuroendocrine cell fate in the lungs, an archetypal process for cell fate decisions orchestrated by Notch signaling that has remained poorly understood at the molecular level. Using intratumoral heterogeneity in small-cell lung cancer as a tractable model system, we uncovered a role for the transcriptional regulators REST and YAP as promoters of the neuroendocrine to non-neuroendocrine transition. We further identified the specific neuroendocrine gene programs repressed by REST downstream of Notch in this process. Importantly, we validated the importance of REST and YAP in neuroendocrine to non-neuroendocrine cell fate switches in both developmental and tissue repair processes in the lungs. Altogether, these experiments identify conserved roles for REST and YAP in Notch-driven inhibition of the neuroendocrine cell fate in embryonic lungs, adult lungs, and lung cancer.
Collapse
|
42
|
Sadoughi F, Dana PM, Homayoonfal M, Sharifi M, Asemi Z. Molecular basis of melatonin protective effects in metastasis: A novel target of melatonin. Biochimie 2022; 202:15-25. [DOI: 10.1016/j.biochi.2022.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/16/2022]
|
43
|
Quaranta V, Linkous A. Organoids as a Systems Platform for SCLC Brain Metastasis. Front Oncol 2022; 12:881989. [PMID: 35574308 PMCID: PMC9096159 DOI: 10.3389/fonc.2022.881989] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/04/2022] [Indexed: 12/18/2022] Open
Abstract
Small Cell Lung Cancer (SCLC) is a highly aggressive, neuroendocrine tumor. Traditional reductionist approaches have proven ineffective to ameliorate the uniformly dismal outcomes for SCLC - survival at 5 years remains less than 5%. A major obstacle to improving treatment is that SCLC tumor cells disseminate early, with a strong propensity for metastasizing to the brain. Accumulating evidence indicates that, contrary to previous textbook knowledge, virtually every SCLC tumor is comprised of multiple subtypes. Important questions persist regarding the role that this intra-tumor subtype heterogeneity may play in supporting the invasive properties of SCLC. A recurrent hypothesis in the field is that subtype interactions and/or transition dynamics are major determinants of SCLC metastatic seeding and progression. Here, we review the advantages of cerebral organoids as an experimentally accessible platform for SCLC brain metastasis, amenable to genetic manipulations, drug perturbations, and assessment of subtype interactions when coupled, e.g., to temporal longitudinal monitoring by high-content imaging or high-throughput omics data generation. We then consider systems approaches that can produce mathematical and computational models useful to generalize lessons learned from ex vivo organoid cultures, and integrate them with in vivo observations. In summary, systems approaches combined with ex vivo SCLC cultures in brain organoids may effectively capture both tumor-tumor and host-tumor interactions that underlie general principles of brain metastasis.
Collapse
Affiliation(s)
| | - Amanda Linkous
- Department of Biochemistry, Vanderbilt University, Nashville, TN, United States
| |
Collapse
|
44
|
Caeser R, Egger JV, Chavan S, Socci ND, Jones CB, Kombak FE, Asher M, Roehrl MH, Shah NS, Allaj V, Manoj P, Tischfield SE, Kulick A, Meneses M, Iacobuzio-Donahue CA, Lai WV, Bhanot U, Baine MK, Rekhtman N, Hollmann TJ, de Stanchina E, Poirier JT, Rudin CM, Sen T. Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts. Nat Commun 2022; 13:2144. [PMID: 35440124 PMCID: PMC9018685 DOI: 10.1038/s41467-022-29794-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
Access to clinically relevant small cell lung cancer (SCLC) tissue is limited because surgical resection is rare in metastatic SCLC. Patient-derived xenografts (PDX) and circulating tumor cell-derived xenografts (CDX) have emerged as valuable tools to characterize SCLC. Here, we present a resource of 46 extensively annotated PDX/CDX models derived from 33 patients with SCLC. We perform multi-omic analyses, using targeted tumor next-generation sequencing, RNA-sequencing, and immunohistochemistry to deconvolute the mutational landscapes, global expression profiles, and molecular subtypes of these SCLC models. SCLC subtypes characterized by transcriptional regulators, ASCL1, NEUROD1 and POU2F3 are confirmed in this cohort. A subset of SCLC clinical specimens, including matched PDX/CDX and clinical specimen pairs, confirm that the primary features and genomic and proteomic landscapes of the tumors of origin are preserved in the derivative PDX models. This resource provides a powerful system to study SCLC biology.
Collapse
Affiliation(s)
- Rebecca Caeser
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Jacklynn V Egger
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Shweta Chavan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Nicholas D Socci
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Caitlin Byrne Jones
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Faruk Erdem Kombak
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Marina Asher
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Michael H Roehrl
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Nisargbhai S Shah
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Viola Allaj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Parvathy Manoj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Sam E Tischfield
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amanda Kulick
- Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA
| | - Maximiliano Meneses
- Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA
| | - Christine A Iacobuzio-Donahue
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - W Victoria Lai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Umeshkumar Bhanot
- Precision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Marina K Baine
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Travis J Hollmann
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA
| | - John T Poirier
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| | - Triparna Sen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| |
Collapse
|
45
|
Wang WZ, Shulman A, Amann JM, Carbone DP, Tsichlis PN. Small cell lung cancer: Subtypes and therapeutic implications. Semin Cancer Biol 2022; 86:543-554. [DOI: 10.1016/j.semcancer.2022.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/23/2022] [Accepted: 04/04/2022] [Indexed: 12/20/2022]
|
46
|
Abstract
Small cell lung cancer (SCLC) is a rapidly growing, highly metastatic, and relatively immune-cold lung cancer subtype. Historically viewed in the laboratory and clinic as a single disease, new discoveries suggest that SCLC comprises multiple molecular subsets. Expression of MYC family members and lineage-related transcription factors ASCL1, NEUROD1, and POU2F3 (and, in some studies, YAP1) define unique molecular states that have been associated with distinct responses to a variety of therapies. However, SCLC tumors exhibit a high degree of intratumoral heterogeneity, with recent studies suggesting the existence of tumor cell plasticity and phenotypic switching between subtype states. While SCLC plasticity is correlated with, and likely drives, therapeutic resistance, the mechanisms underlying this plasticity are still largely unknown. Subtype states are also associated with immune-related gene expression, which likely impacts response to immune checkpoint blockade and may reveal novel targets for alternative immunotherapeutic approaches. In this review, we synthesize recent discoveries on the mechanisms of SCLC plasticity and how these processes may impinge on antitumor immunity.
Collapse
Affiliation(s)
- Kate D Sutherland
- Australian Cancer Research Foundation (ACRF) Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Abbie S Ireland
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA
| | - Trudy G Oliver
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA
| |
Collapse
|
47
|
Yachida S, Totoki Y, Noë M, Nakatani Y, Horie M, Kawasaki K, Nakamura H, Saito-Adachi M, Suzuki M, Takai E, Hama N, Higuchi R, Hirono S, Shiba S, Kato M, Furukawa E, Arai Y, Rokutan H, Hashimoto T, Mitsunaga S, Kanda M, Tanaka H, Takata S, Shimomura A, Oshima M, Hackeng WM, Okumura T, Okano K, Yamamoto M, Yamaue H, Morizane C, Arihiro K, Furukawa T, Sato T, Kiyono T, Brosens LA, Wood LD, Hruban RH, Shibata T. Comprehensive Genomic Profiling of Neuroendocrine Carcinomas of the Gastrointestinal System. Cancer Discov 2022; 12:692-711. [PMID: 34880079 PMCID: PMC9394397 DOI: 10.1158/2159-8290.cd-21-0669] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 08/23/2021] [Accepted: 10/14/2021] [Indexed: 01/07/2023]
Abstract
The neuroendocrine carcinoma of the gastrointestinal system (GIS-NEC) is a rare but highly malignant neoplasm. We analyzed 115 cases using whole-genome/exome sequencing, transcriptome sequencing, DNA methylation assays, and/or ATAC-seq and found GIS-NECs to be genetically distinct from neuroendocrine tumors (GIS-NET) in the same location. Clear genomic differences were also evident between pancreatic NECs (Panc-NEC) and nonpancreatic GIS-NECs (Nonpanc-NEC). Panc-NECs could be classified into two subgroups (i.e., "ductal-type" and "acinar-type") based on genomic features. Alterations in TP53 and RB1 proved common in GIS-NECs, and most Nonpanc-NECs with intact RB1 demonstrated mutually exclusive amplification of CCNE1 or MYC. Alterations of the Notch gene family were characteristic of Nonpanc-NECs. Transcription factors for neuroendocrine differentiation, especially the SOX2 gene, appeared overexpressed in most GIS-NECs due to hypermethylation of the promoter region. This first comprehensive study of genomic alterations in GIS-NECs uncovered several key biological processes underlying genesis of this very lethal form of cancer. SIGNIFICANCE GIS-NECs are genetically distinct from GIS-NETs. GIS-NECs arising in different organs show similar histopathologic features and share some genomic features, but considerable differences exist between Panc-NECs and Nonpanc-NECs. In addition, Panc-NECs could be classified into two subgroups (i.e., "ductal-type" and "acinar-type") based on genomic and epigenomic features. This article is highlighted in the In This Issue feature, p. 587.
Collapse
Affiliation(s)
- Shinichi Yachida
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan.,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan.,Division of Genomic Medicine, National Cancer Center Research Institute, Tokyo, Japan.,Corresponding Author: Shinichi Yachida, Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan. Phone: 81(6)6879-3360; Fax: 81(6)6879-3369; E-mail:
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Michaël Noë
- Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland.,Sol Goldman Pancreatic Cancer Research Center, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Yoichiro Nakatani
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masafumi Horie
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kenta Kawasaki
- Department of Organoid Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Mihoko Saito-Adachi
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Masami Suzuki
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Erina Takai
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Natsuko Hama
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Ryota Higuchi
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan
| | - Seiko Hirono
- Second Department of Surgery, Wakayama Medical University, Wakayama, Japan
| | - Satoshi Shiba
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Mamoru Kato
- Department of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan
| | - Eisaku Furukawa
- Department of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasuhito Arai
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hirofumi Rokutan
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Taiki Hashimoto
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Shuichi Mitsunaga
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Mitsuro Kanda
- Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Hidenori Tanaka
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - So Takata
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ayaka Shimomura
- Department of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Minoru Oshima
- Department of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Wenzel M. Hackeng
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Tomoyuki Okumura
- Department of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan
| | - Keiichi Okano
- Department of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Masakazu Yamamoto
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan
| | - Hiroki Yamaue
- Second Department of Surgery, Wakayama Medical University, Wakayama, Japan
| | - Chigusa Morizane
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Koji Arihiro
- Department of Anatomical Pathology, Hiroshima University Hospital, Hiroshima, Japan
| | - Toru Furukawa
- Department of Investigative Pathology, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Toshiro Sato
- Department of Organoid Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tohru Kiyono
- Project for Prevention of HPV-Related Cancer, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
| | - Lodewijk A.A. Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Laura D. Wood
- Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland.,Sol Goldman Pancreatic Cancer Research Center, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Ralph H. Hruban
- Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland.,Sol Goldman Pancreatic Cancer Research Center, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.,Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| |
Collapse
|
48
|
Simon Davis DA, Mun S, Smith JM, Hammill D, Garrett J, Gosling K, Price J, Elsaleh H, Syed FM, Atmosukarto II, Quah BJC. Machine learning predicts cancer subtypes and progression from blood immune signatures. PLoS One 2022; 17:e0264631. [PMID: 35226704 PMCID: PMC8884497 DOI: 10.1371/journal.pone.0264631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/14/2022] [Indexed: 12/23/2022] Open
Abstract
Clinical adoption of immune checkpoint inhibitors in cancer management has highlighted the interconnection between carcinogenesis and the immune system. Immune cells are integral to the tumour microenvironment and can influence the outcome of therapies. Better understanding of an individual's immune landscape may play an important role in treatment personalisation. Peripheral blood is a readily accessible source of information to study an individual's immune landscape compared to more complex and invasive tumour bioipsies, and may hold immense diagnostic and prognostic potential. Identifying the critical components of these immune signatures in peripheral blood presents an attractive alternative to tumour biopsy-based immune phenotyping strategies. We used two syngeneic solid tumour models, a 4T1 breast cancer model and a CT26 colorectal cancer model, in a longitudinal study of the peripheral blood immune landscape. Our strategy combined two highly accessible approaches, blood leukocyte immune phenotyping and plasma soluble immune factor characterisation, to identify distinguishing immune signatures of the CT26 and 4T1 tumour models using machine learning. Myeloid cells, specifically neutrophils and PD-L1-expressing myeloid cells, were found to correlate with tumour size in both the models. Elevated levels of G-CSF, IL-6 and CXCL13, and B cell counts were associated with 4T1 growth, whereas CCL17, CXCL10, total myeloid cells, CCL2, IL-10, CXCL1, and Ly6Cintermediate monocytes were associated with CT26 tumour development. Peripheral blood appears to be an accessible means to interrogate tumour-dependent changes to the host immune landscape, and to identify blood immune phenotypes for future treatment stratification.
Collapse
Affiliation(s)
| | - Sahngeun Mun
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
| | | | - Dillon Hammill
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Jessica Garrett
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Katharine Gosling
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Jason Price
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Hany Elsaleh
- Radiation Oncology Department, The Alfred, Melbourne, VIC, Australia
| | - Farhan M. Syed
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
| | - Ines I. Atmosukarto
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Benjamin J. C. Quah
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
| |
Collapse
|
49
|
Azimzade Y. Invasion front dynamics of interactive populations in environments with barriers. Sci Rep 2022; 12:826. [PMID: 35039586 PMCID: PMC8764055 DOI: 10.1038/s41598-022-04806-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 01/03/2022] [Indexed: 11/20/2022] Open
Abstract
Invading populations normally comprise different subpopulations that interact while trying to overcome existing barriers against their way to occupy new areas. However, the majority of studies so far only consider single or multiple population invasion into areas where there is no resistance against the invasion. Here, we developed a model to study how cooperative/competitive populations invade in the presence of a physical barrier that should be degraded during the invasion. For one dimensional (1D) environment, we found that a Langevin equation as [Formula: see text] describing invasion front position. We then obtained how [Formula: see text] and [Formula: see text] depend on population interactions and environmental barrier intensity. In two dimensional (2D) environment, for the average interface position movements we found a Langevin equation as [Formula: see text]. Similar to the 1D case, we calculate how [Formula: see text] and [Formula: see text] respond to population interaction and environmental barrier intensity. Finally, the study of invasion front morphology through dynamic scaling analysis showed that growth exponent, [Formula: see text], depends on both population interaction and environmental barrier intensity. Saturated interface width, [Formula: see text], versus width of the 2D environment (L) also exhibits scaling behavior. Our findings show revealed that competition among subpopulations leads to more rough invasion fronts. Considering the wide range of shreds of evidence for clonal diversity in cancer cell populations, our findings suggest that interactions between such diverse populations can potentially participate in the irregularities of tumor border.
Collapse
Affiliation(s)
- Youness Azimzade
- Department of Physics, University of Tehran, Tehran, 14395-547, Iran.
| |
Collapse
|
50
|
Hong D, Knelson EH, Li Y, Durmaz YT, Gao W, Walton E, Vajdi A, Thai T, Sticco-Ivins M, Sabet AH, Jones KL, Schinzel AC, Bronson RT, Nguyen QD, Tolstorukov MY, Vivero M, Signoretti S, Barbie DA, Oser MG. Plasticity in the Absence of NOTCH Uncovers a RUNX2-Dependent Pathway in Small Cell Lung Cancer. Cancer Res 2022; 82:248-263. [PMID: 34810201 PMCID: PMC8770597 DOI: 10.1158/0008-5472.can-21-1991] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 10/05/2021] [Accepted: 11/15/2021] [Indexed: 11/16/2022]
Abstract
Neuroendocrine to nonneuroendocrine plasticity supports small cell lung cancer (SCLC) tumorigenesis and promotes immunogenicity. Approximately 20% to 25% of SCLCs harbor loss-of-function (LOF) NOTCH mutations. Previous studies demonstrated that NOTCH functions as a SCLC tumor suppressor, but can also drive nonneuroendocrine plasticity to support SCLC growth. Given the dual functionality of NOTCH, it is not understood why SCLCs select for LOF NOTCH mutations and how these mutations affect SCLC tumorigenesis. In a CRISPR-based genetically engineered mouse model of SCLC, genetic loss of Notch1 or Notch2 modestly accelerated SCLC tumorigenesis. Interestingly, Notch-mutant SCLCs still formed nonneuroendocrine subpopulations, and these Notch-independent, nonneuroendocrine subpopulations were driven by Runx2-mediated regulation of Rest. Notch2-mutant nonneuroendocrine cells highly express innate immune signaling genes including stimulator of interferon genes (STING) and were sensitive to STING agonists. This work identifies a Notch-independent mechanism to promote nonneuroendocrine plasticity and suggests that therapeutic approaches to activate STING could be selectively beneficial for SCLCs with NOTCH2 mutations. SIGNIFICANCE: A genetically engineered mouse model of NOTCH-mutant SCLC reveals that nonneuroendocrine plasticity persists in the absence of NOTCH, driven by a RUNX2-REST-dependent pathway and innate immune signaling.
Collapse
Affiliation(s)
- Deli Hong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Erik H Knelson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Yixiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Yavuz T Durmaz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Wenhua Gao
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Emily Walton
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amir Vajdi
- Department of Informatics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Tran Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Maura Sticco-Ivins
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amin H Sabet
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Kristen L Jones
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Anna C Schinzel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Rod T Bronson
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts
| | - Quang-De Nguyen
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Michael Y Tolstorukov
- Department of Informatics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Marina Vivero
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sabina Signoretti
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|