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Lee JY, Reyes N, Woo SH, Goel S, Stratton F, Kuang C, Mansfield AS, LaFave LM, Peng T. Senescent fibroblasts in the tumor stroma rewire lung cancer metabolism and plasticity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.29.605645. [PMID: 39131266 PMCID: PMC11312578 DOI: 10.1101/2024.07.29.605645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Senescence has been demonstrated to either inhibit or promote tumorigenesis. Resolving this paradox requires spatial mapping and functional characterization of senescent cells in the native tumor niche. Here, we identified senescent p16 Ink4a + cancer-associated fibroblasts with a secretory phenotype that promotes fatty acid uptake and utilization by aggressive lung adenocarcinoma driven by Kras and p53 mutations. Furthermore, rewiring of lung cancer metabolism by p16 Ink4a + cancer-associated fibroblasts also altered tumor cell identity to a highly plastic/dedifferentiated state associated with progression in murine and human LUAD. Our ex vivo senolytic screening platform identified XL888, a HSP90 inhibitor, that cleared p16 Ink4a + cancer-associated fibroblasts in vivo. XL888 administration after establishment of advanced lung adenocarcinoma significantly reduced tumor burden concurrent with the loss of plastic tumor cells. Our study identified a druggable component of the tumor stroma that fulfills the metabolic requirement of tumor cells to acquire a more aggressive phenotype.
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Affiliation(s)
- Jin Young Lee
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA 94143
| | - Nabora Reyes
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA 94143
| | - Sang-Ho Woo
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA 94143
| | - Sakshi Goel
- Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Fia Stratton
- Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Chaoyuan Kuang
- Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Aaron S. Mansfield
- Department of Oncology, Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905
| | - Lindsay M. LaFave
- Albert Einstein Cancer Center, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Tien Peng
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA 94143
- Lead contact
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2
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Frazzi R. KLF4 is an epigenetically modulated, context-dependent tumor suppressor. Front Cell Dev Biol 2024; 12:1392391. [PMID: 39135777 PMCID: PMC11317372 DOI: 10.3389/fcell.2024.1392391] [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: 02/27/2024] [Accepted: 07/01/2024] [Indexed: 08/15/2024] Open
Abstract
The epigenetic layer of regulation has become increasingly relevant in the research focused on tumor suppressors. KLF4 is a well-described zinc-finger transcription factor, mainly known for its role in the acquisition of cell pluripotency. Here we report and describe the most relevant epigenetic regulation mechanisms that affect KLF4 expression in tumors. CpG island methylation emerges as the most common mechanism in several tumors including lung adenocarcinoma, hepatocellular carcinoma, non-Hodgkin lymphomas, among others. Further layers of regulation represented by histone methylation and acetylation and by non-coding RNAs are described. Overall, KLF4 emerges as a crucial target in the fight against cancer.
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Affiliation(s)
- Raffaele Frazzi
- Molecular Pathology Laboratory, Azienda Unità Sanitaria Locale–IRCCS di Reggio Emilia, Reggio Emilia, Italy
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3
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Chen HF, Wu KJ. LncRNAs and asymmetric cell division: the epigenetic mechanisms. Biomed J 2024:100774. [PMID: 39059582 DOI: 10.1016/j.bj.2024.100774] [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: 04/23/2024] [Revised: 07/16/2024] [Accepted: 07/24/2024] [Indexed: 07/28/2024] Open
Abstract
Asymmetric cell division (ACD) plays a pivotal role in development, tissue homeostasis, and stem cell maintenance. Emerging evidence suggests that long non-coding RNAs (lncRNAs) are key regulators of ACD, orchestrating the intricate molecular machinery that governs cell fate determination. This review summarizes current literature to elucidate the diverse roles of lncRNAs in modulating ACD across various biological contexts. The regulatory mechanisms of asymmetric cell division mediated by lncRNAs, including their interactions with protein effectors, epigenetic regulation, and subcellular localization are explored. Additionally, we discuss the implications of dysregulated lncRNAs in mediating ACD that lead to tumorigenesis. By integrating findings from diverse experimental models and cell types, this review provides insights into the multifaceted roles of lncRNAs in governing asymmetric cell division, shedding light on fundamental biological processes. Further research in this area may lead to the development of novel therapies targeting dysregulated lncRNAs to restore proper cell division and function. The knowledge of lncRNAs regulating ACD could potentially revolutionize the field of regenerative medicine and cancer therapy by targeting specific lncRNAs involved in ACD. By unraveling the complex interactions between lncRNAs and cellular processes, the potential novel opportunities for precision medicine approaches may be uncovered.
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Affiliation(s)
- Hsiao-Fan Chen
- Graduate Institutes of Biomedical Sciences, China Medical University, Taichung 404, Taiwan; Graduate Institutes of Cell Biology, China Medical University, Taichung 404, Taiwan.
| | - Kou-Juey Wu
- Cancer Genome Research Center, Chang Gung Memorial Hospital at Linkou, Gueishan Dist., Taoyuan 333, Taiwan.
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4
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Moye AL, Dost AF, Ietswaart R, Sengupta S, Ya V, Aluya C, Fahey CG, Louie SM, Paschini M, Kim CF. Early-stage lung cancer is driven by a transitional cell state dependent on a KRAS-ITGA3-SRC axis. EMBO J 2024; 43:2843-2861. [PMID: 38755258 PMCID: PMC11251082 DOI: 10.1038/s44318-024-00113-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/04/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024] Open
Abstract
Glycine-12 mutations in the GTPase KRAS (KRASG12) are an initiating event for development of lung adenocarcinoma (LUAD). KRASG12 mutations promote cell-intrinsic rewiring of alveolar type-II progenitor (AT2) cells, but to what extent such changes interplay with lung homeostasis and cell fate pathways is unclear. Here, we generated single-cell RNA-seq (scRNA-seq) profiles from AT2-mesenchyme organoid co-cultures, mice, and stage-IA LUAD patients, identifying conserved regulators of AT2 transcriptional dynamics and defining the impact of KRASG12D mutation with temporal resolution. In AT2WT organoids, we found a transient injury/plasticity state preceding AT2 self-renewal and AT1 differentiation. Early-stage AT2KRAS cells exhibited perturbed gene expression dynamics, most notably retention of the injury/plasticity state. The injury state in AT2KRAS cells of patients, mice, and organoids was distinguishable from AT2WT states via altered receptor expression, including co-expression of ITGA3 and SRC. The combination of clinically relevant KRASG12D and SRC inhibitors impaired AT2KRAS organoid growth. Together, our data show that an injury/plasticity state essential for lung repair is co-opted during AT2 self-renewal and LUAD initiation, suggesting that early-stage LUAD may be susceptible to interventions that target specifically the oncogenic nature of this cell state.
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Affiliation(s)
- Aaron L Moye
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Antonella Fm Dost
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Hubrecht Institute, Oncode Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, The Netherlands
| | | | - Shreoshi Sengupta
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - VanNashlee Ya
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Chrystal Aluya
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Caroline G Fahey
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard University and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sharon M Louie
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Margherita Paschini
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Carla F Kim
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
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5
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Zhuang X, Wang Q, Joost S, Ferrena A, Humphreys DT, Li Z, Blum M, Bastl K, Ding S, Landais Y, Zhan Y, Zhao Y, Chaligne R, Lee JH, Carrasco SE, Bhanot UK, Koche RP, Bott MJ, Katajisto P, Soto-Feliciano YM, Pisanic T, Thomas T, Zheng D, Wong ES, Tammela T. Aging limits stemness and tumorigenesis in the lung by reprogramming iron homeostasis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.23.600305. [PMID: 38979280 PMCID: PMC11230188 DOI: 10.1101/2024.06.23.600305] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Aging is associated with a decline in the number and fitness of adult stem cells 1-4 . Aging-associated loss of stemness is posited to suppress tumorigenesis 5,6 , but this hypothesis has not been tested in vivo . Here, using physiologically aged autochthonous genetically engineered mouse models and primary cells 7,8 , we demonstrate aging suppresses lung cancer initiation and progression by degrading stemness of the alveolar cell of origin. This phenotype is underpinned by aging-associated induction of the transcription factor NUPR1 and its downstream target lipocalin-2 in the cell of origin in mice and humans, leading to a functional iron insufficiency in the aged cells. Genetic inactivation of the NUPR1-lipocalin-2 axis or iron supplementation rescue stemness and promote tumorigenic potential of aged alveolar cells. Conversely, targeting the NUPR1- lipocalin-2 axis is detrimental to young alveolar cells via induction of ferroptosis. We find that aging-associated DNA hypomethylation at specific enhancer sites associates with elevated NUPR1 expression, which is recapitulated in young alveolar cells by inhibition of DNA methylation. We uncover that aging drives a functional iron insufficiency, which leads to loss of stemness and tumorigenesis, but promotes resistance to ferroptosis. These findings have significant implications for the therapeutic modulation of cellular iron homeostasis in regenerative medicine and in cancer prevention. Furthermore, our findings are consistent with a model whereby most human cancers initiate in young individuals, revealing a critical window for such cancer prevention efforts.
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6
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He Q, Qu M, Xu C, Wu L, Xu Y, Su J, Bao H, Shen T, He Y, Cai J, Xu D, Zeng LH, Wu X. Smoking-induced CCNA2 expression promotes lung adenocarcinoma tumorigenesis by boosting AT2/AT2-like cell differentiation. Cancer Lett 2024; 592:216922. [PMID: 38704137 DOI: 10.1016/j.canlet.2024.216922] [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: 10/26/2023] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024]
Abstract
Lung adenocarcinoma (LUAD), a type of non-small cell lung cancer (NSCLC), originates from not only bronchial epithelial cells but also alveolar type 2 (AT2) cells, which could differentiate into AT2-like cells. AT2-like cells function as cancer stem cells (CSCs) of LUAD tumorigenesis to give rise to adenocarcinoma. However, the mechanism underlying AT2 cell differentiation into AT2-like cells in LUAD remains unknown. We analyze genes differentially expressed and genes with significantly different survival curves in LUAD, and the combination of these two analyses yields 147 differential genes, in which 14 differentially expressed genes were enriched in cell cycle pathway. We next analyze the protein levels of these genes in LUAD and find that Cyclin-A2 (CCNA2) is closely associated with LUAD tumorigenesis. Unexpectedly, high CCNA2 expression in LUAD is restrictedly associated with smoking and independent of other driver mutations. Single-cell sequencing analyses reveal that CCNA2 is predominantly involved in AT2-like cell differentiation, while inhibition of CCNA2 significantly reverses smoking-induced AT2-like cell differentiation. Mechanistically, CCNA2 binding to CDK2 phosphorylates the AXIN1 complex, which in turn induces ubiquitination-dependent degradation of β-catenin and inhibits the WNT signaling pathway, thereby failing AT2 cell maintenance. These results uncover smoking-induced CCNA2 overexpression and subsequent WNT/β-catenin signaling inactivation as a hitherto uncharacterized mechanism controlling AT2 cell differentiation and LUAD tumorigenesis.
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Affiliation(s)
- Qiangqiang He
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Meiyu Qu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Chengyun Xu
- Department of Pharmacology, Hangzhou City University, Hangzhou 310015, China
| | - Lichao Wu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yana Xu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiakun Su
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Hangyang Bao
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Tingyu Shen
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yangxun He
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jibao Cai
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Da Xu
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Ling-Hui Zeng
- Department of Pharmacology, Hangzhou City University, Hangzhou 310015, China.
| | - Ximei Wu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China; Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, China.
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7
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Zhang S, Xiao X, Yi Y, Wang X, Zhu L, Shen Y, Lin D, Wu C. Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets. Signal Transduct Target Ther 2024; 9:149. [PMID: 38890350 PMCID: PMC11189549 DOI: 10.1038/s41392-024-01848-7] [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: 01/01/2024] [Revised: 04/23/2024] [Accepted: 04/27/2024] [Indexed: 06/20/2024] Open
Abstract
Tumorigenesis is a multistep process, with oncogenic mutations in a normal cell conferring clonal advantage as the initial event. However, despite pervasive somatic mutations and clonal expansion in normal tissues, their transformation into cancer remains a rare event, indicating the presence of additional driver events for progression to an irreversible, highly heterogeneous, and invasive lesion. Recently, researchers are emphasizing the mechanisms of environmental tumor risk factors and epigenetic alterations that are profoundly influencing early clonal expansion and malignant evolution, independently of inducing mutations. Additionally, clonal evolution in tumorigenesis reflects a multifaceted interplay between cell-intrinsic identities and various cell-extrinsic factors that exert selective pressures to either restrain uncontrolled proliferation or allow specific clones to progress into tumors. However, the mechanisms by which driver events induce both intrinsic cellular competency and remodel environmental stress to facilitate malignant transformation are not fully understood. In this review, we summarize the genetic, epigenetic, and external driver events, and their effects on the co-evolution of the transformed cells and their ecosystem during tumor initiation and early malignant evolution. A deeper understanding of the earliest molecular events holds promise for translational applications, predicting individuals at high-risk of tumor and developing strategies to intercept malignant transformation.
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Affiliation(s)
- Shaosen Zhang
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Xinyi Xiao
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Yonglin Yi
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Xinyu Wang
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Lingxuan Zhu
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Changping Laboratory, 100021, Beijing, China
| | - Yanrong Shen
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Dongxin Lin
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
- Changping Laboratory, 100021, Beijing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China.
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510060, China.
| | - Chen Wu
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
- Key Laboratory of Cancer Genomic Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
- Changping Laboratory, 100021, Beijing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China.
- CAMS Oxford Institute, Chinese Academy of Medical Sciences, 100006, Beijing, China.
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8
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Morosi LG, Piperno GM, López L, Amadio R, Joshi S, Rustighi A, Del Sal G, Benvenuti F. ALCAM-mediated cDC1 CD8 T cells interactions are suppressed in advanced lung tumors. Oncoimmunology 2024; 13:2367843. [PMID: 38887373 PMCID: PMC11181928 DOI: 10.1080/2162402x.2024.2367843] [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: 02/21/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024] Open
Abstract
Conventional type 1 dendritic cells (cDC1) are critical regulators of anti-tumoral T-cell responses. The structure and abundance of intercellular contacts between cDC1 and CD8 T cells in cancer tissues is important to determine the outcome of the T-cell response. However, the molecular determinants controlling the stability of cDC1-CD8 interactions during cancer progression remain poorly investigated. Here, we generated a genetic model of non-small cell lung cancer crossed to a fluorescent cDC1 reporter (KP-XCR1venus) to allow the detection of cDC1-CD8T cell clusters in tumor tissues across tumor stages. We found that cDC1-CD8 clusters are abundant and productive at the early stages of tumor development but progressively diminish in advanced tumors. Transcriptional profiling and flow cytometry identified the adhesion molecule ALCAM/CD166 (Activated Leukocyte Cell Adhesion Molecule, ligand of CD6) as highly expressed by lung cDC1 and significantly downregulated in advanced tumors. Analysis of human datasets indicated that ALCAM is downregulated in non-small cell lung cancer and its expression correlates to better prognosis. Mechanistically, triggering ALCAM on lung cDC1 induces cytoskeletal remodeling and contact formation whereas its blockade prevents T-cell activation. Together, our results indicate that ALCAM is important to stabilize cDC1-CD8 interactions at early tumor stages, while its loss in advanced tumors contributes to immune evasion.
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Affiliation(s)
- Luciano G. Morosi
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Giulia M. Piperno
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Lucía López
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Roberto Amadio
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Sonal Joshi
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Alessandra Rustighi
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Cancer Cell Signaling, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Giannino Del Sal
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Cancer Cell Signaling, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Federica Benvenuti
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
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9
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Patel AS, Yanai I. A developmental constraint model of cancer cell states and tumor heterogeneity. Cell 2024; 187:2907-2918. [PMID: 38848676 PMCID: PMC11256907 DOI: 10.1016/j.cell.2024.04.032] [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: 10/02/2023] [Revised: 12/29/2023] [Accepted: 04/24/2024] [Indexed: 06/09/2024]
Abstract
Cancer is a disease that stems from a fundamental liability inherent to multicellular life forms in which an individual cell is capable of reneging on the interests of the collective organism. Although cancer is commonly described as an evolutionary process, a less appreciated aspect of tumorigenesis may be the constraints imposed by the organism's developmental programs. Recent work from single-cell transcriptomic analyses across a range of cancer types has revealed the recurrence, plasticity, and co-option of distinct cellular states among cancer cell populations. Here, we note that across diverse cancer types, the observed cell states are proximate within the developmental hierarchy of the cell of origin. We thus posit a model by which cancer cell states are directly constrained by the organism's "developmental map." According to this model, a population of cancer cells traverses the developmental map, thereby generating a heterogeneous set of states whose interactions underpin emergent tumor behavior.
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Affiliation(s)
- Ayushi S Patel
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA; Department of Biochemistry & Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA; Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Itai Yanai
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA; Department of Biochemistry & Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA; Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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10
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Whiting FJH, Househam J, Baker AM, Sottoriva A, Graham TA. Phenotypic noise and plasticity in cancer evolution. Trends Cell Biol 2024; 34:451-464. [PMID: 37968225 DOI: 10.1016/j.tcb.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 11/17/2023]
Abstract
Non-genetic alterations can produce changes in a cell's phenotype. In cancer, these phenomena can influence a cell's fitness by conferring access to heritable, beneficial phenotypes. Herein, we argue that current discussions of 'phenotypic plasticity' in cancer evolution ignore a salient feature of the original definition: namely, that it occurs in response to an environmental change. We suggest 'phenotypic noise' be used to distinguish non-genetic changes in phenotype that occur independently from the environment. We discuss the conceptual and methodological techniques used to identify these phenomena during cancer evolution. We propose that the distinction will guide efforts to define mechanisms of phenotype change, accelerate translational work to manipulate phenotypes through treatment, and, ultimately, improve patient outcomes.
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Affiliation(s)
| | - Jacob Househam
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
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11
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Rosemann J, Pyko J, Jacob R, Macho J, Kappler M, Eckert AW, Haemmerle M, Gutschner T. NANOS1 restricts oral cancer cell motility and TGF-ß signaling. Eur J Cell Biol 2024; 103:151400. [PMID: 38401491 DOI: 10.1016/j.ejcb.2024.151400] [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: 10/04/2023] [Revised: 02/04/2024] [Accepted: 02/20/2024] [Indexed: 02/26/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most frequent type of cancer of the head and neck area accounting for approx. 377,000 new cancer cases every year. The epithelial-to-mesenchymal transition (EMT) program plays an important role in OSCC progression and metastasis therefore contributing to a poor prognosis in patients with advanced disease. Transforming growth factor beta (TGF-ß) is a powerful inducer of EMT thereby increasing cancer cell aggressiveness. Here, we aimed at identifying RNA-binding proteins (RBPs) that affect TGF-ß-induced EMT. To this end we treated oral cancer cells with TGF-ß and identified a total of 643 significantly deregulated protein-coding genes in response to TGF-ß. Of note, 19 genes encoded RBPs with NANOS1 being the most downregulated RBP. Subsequent cellular studies demonstrated a strong inhibitory effect of NANOS1 on migration and invasion of SAS oral cancer cells. Further mechanistic studies revealed an interaction of NANOS1 with the TGF-ß receptor 1 (TGFBR1) mRNA, leading to increased decay of this transcript and a reduced TGFBR1 protein expression, thereby preventing downstream TGF-ß/SMAD signaling. In summary, we identified NANOS1 as negative regulator of TGF-ß signaling in oral cancer cells.
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Affiliation(s)
- Julia Rosemann
- Institute of Molecular Medicine, Section for RNA biology and pathogenesis, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Jonas Pyko
- Institute of Molecular Medicine, Section for RNA biology and pathogenesis, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Roland Jacob
- Institute of Molecular Medicine, Section for RNA biology and pathogenesis, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Jana Macho
- Institute of Molecular Medicine, Section for RNA biology and pathogenesis, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Matthias Kappler
- Department of Oral and Maxillofacial Plastic Surgery, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Alexander W Eckert
- Department of Cranio Maxillofacial Surgery, Paracelsus Medical University, Nuremberg 90471, Germany
| | - Monika Haemmerle
- Institute of Pathology, Section for Experimental Pathology, Martin Luther University Halle-Wittenberg, Halle 06120, Germany
| | - Tony Gutschner
- Institute of Molecular Medicine, Section for RNA biology and pathogenesis, Martin Luther University Halle-Wittenberg, Halle 06120, Germany.
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12
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Lenz G. Heterogeneity generating capacity in tumorigenesis and cancer therapeutics. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167226. [PMID: 38734320 DOI: 10.1016/j.bbadis.2024.167226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/26/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Cells of multicellular organisms generate heterogeneity in a controlled and transient fashion during embryogenesis, which can be reactivated in pathologies such as cancer. Although genomic heterogeneity is an important part of tumorigenesis, continuous generation of phenotypic heterogeneity is central for the adaptation of cancer cells to the challenges of tumorigenesis and response to therapy. Here I discuss the capacity of generating heterogeneity, hereafter called cell hetness, in cancer cells both as the activation of hetness oncogenes and inactivation of hetness tumor suppressor genes, which increase the generation of heterogeneity, ultimately producing an increase in adaptability and cell fitness. Transcriptomic high hetness states in therapy-tolerant cell states denote its importance in cancer resistance to therapy. The definition of the concept of hetness will allow the understanding of its origins, its control during embryogenesis, its loss of control in tumorigenesis and cancer therapeutics and its active targeting.
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Affiliation(s)
- Guido Lenz
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
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13
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Xiao Y, Jin W, Qian K, Ju L, Wang G, Wu K, Cao R, Chang L, Xu Z, Luo J, Shan L, Yu F, Chen X, Liu D, Cao H, Wang Y, Cao X, Zhou W, Cui D, Tian Y, Ji C, Luo Y, Hong X, Chen F, Peng M, Zhang Y, Wang X. Integrative Single Cell Atlas Revealed Intratumoral Heterogeneity Generation from an Adaptive Epigenetic Cell State in Human Bladder Urothelial Carcinoma. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308438. [PMID: 38582099 PMCID: PMC11200000 DOI: 10.1002/advs.202308438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/22/2024] [Indexed: 04/08/2024]
Abstract
Intratumor heterogeneity (ITH) of bladder cancer (BLCA) contributes to therapy resistance and immune evasion affecting clinical prognosis. The molecular and cellular mechanisms contributing to BLCA ITH generation remain elusive. It is found that a TM4SF1-positive cancer subpopulation (TPCS) can generate ITH in BLCA, evidenced by integrative single cell atlas analysis. Extensive profiling of the epigenome and transcriptome of all stages of BLCA revealed their evolutionary trajectories. Distinct ancestor cells gave rise to low-grade noninvasive and high-grade invasive BLCA. Epigenome reprograming led to transcriptional heterogeneity in BLCA. During early oncogenesis, epithelial-to-mesenchymal transition generated TPCS. TPCS has stem-cell-like properties and exhibited transcriptional plasticity, priming the development of transcriptionally heterogeneous descendent cell lineages. Moreover, TPCS prevalence in tumor is associated with advanced stage cancer and poor prognosis. The results of this study suggested that bladder cancer interacts with its environment by acquiring a stem cell-like epigenomic landscape, which might generate ITH without additional genetic diversification.
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Affiliation(s)
- Yu Xiao
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Wan Jin
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
- Euler TechnologyBeijing102206China
| | - Kaiyu Qian
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Lingao Ju
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Gang Wang
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Kai Wu
- Euler TechnologyBeijing102206China
| | - Rui Cao
- Department of UrologyBeijing Friendship HospitalCapital Medical UniversityBeijing100050China
| | | | - Zilin Xu
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Jun Luo
- Department of PathologyZhongnan Hospital of Wuhan UniversityWuhan430071China
| | | | - Fang Yu
- Department of PathologyZhongnan Hospital of Wuhan UniversityWuhan430071China
| | | | | | - Hong Cao
- Department of PathologyZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Yejinpeng Wang
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Xinyue Cao
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
- Clinical Trial CenterZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Wei Zhou
- Hubei Key Laboratory of Medical Technology on TransplantationInstitute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan UniversityWuhan430071China
| | - Diansheng Cui
- Department of UrologyHubei Cancer HospitalWuhan430079China
| | - Ye Tian
- Department of UrologyBeijing Friendship HospitalCapital Medical UniversityBeijing100050China
| | - Chundong Ji
- Department of UrologyThe Affiliated Hospital of Panzhihua UniversityPanzhihua617099China
| | - Yongwen Luo
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
| | - Xin Hong
- Department of UrologyPeking University International HospitalBeijing102206China
| | - Fangjin Chen
- Center for Quantitative BiologySchool of Life SciencesPeking UniversityBeijing100091China
| | - Minsheng Peng
- State Key Laboratory of Genetic Resources and EvolutionKunming Institute of ZoologyChinese Academy of SciencesKunming650201China
- Kunming College of Life ScienceUniversity of Academy of SciencesKunming650201China
| | - Yi Zhang
- Euler TechnologyBeijing102206China
| | - Xinghuan Wang
- Department of Urology, Hubei Key Laboratory of Urological Diseases, Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei ProvinceZhongnan Hospital of Wuhan UniversityWuhan430071China
- Medical Research InstituteWuhan UniversityWuhan430071China
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14
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Taylor MA, Kandyba E, Halliwill K, Delrosario R, Khoroshkin M, Goodarzi H, Quigley D, Li YR, Wu D, Bollam SR, Mirzoeva OK, Akhurst RJ, Balmain A. Stem-cell states converge in multistage cutaneous squamous cell carcinoma development. Science 2024; 384:eadi7453. [PMID: 38815020 DOI: 10.1126/science.adi7453] [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: 05/15/2023] [Accepted: 04/05/2024] [Indexed: 06/01/2024]
Abstract
Stem cells play a critical role in cancer development by contributing to cell heterogeneity, lineage plasticity, and drug resistance. We created gene expression networks from hundreds of mouse tissue samples (both normal and tumor) and integrated these with lineage tracing and single-cell RNA-seq, to identify convergence of cell states in premalignant tumor cells expressing markers of lineage plasticity and drug resistance. Two of these cell states representing multilineage plasticity or proliferation were inversely correlated, suggesting a mutually exclusive relationship. Treatment of carcinomas in vivo with chemotherapy repressed the proliferative state and activated multilineage plasticity whereas inhibition of differentiation repressed plasticity and potentiated responses to cell cycle inhibitors. Manipulation of this cell state transition point may provide a source of potential combinatorial targets for cancer therapy.
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Affiliation(s)
- Mark A Taylor
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Clinical Research Centre, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Eve Kandyba
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Kyle Halliwill
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- AbbVie, South San Francisco, CA 94080, USA
| | - Reyno Delrosario
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Matvei Khoroshkin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Hani Goodarzi
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94518, USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94518, USA
- Arc Institute, Palo Alto, CA 94304, USA
| | - David Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94518, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA 94518, USA
| | - Yun Rose Li
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
- Department of Cancer Genetics & Epigenetics, City of Hope National Medical Center, Duarte, CA 91010, USA
- Division of Quantitative Medicine & Systems Biology, Translational Genomics Research Institute, Phoenix, CA 85004, USA
| | - Di Wu
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Saumya R Bollam
- Biomedical Sciences Graduate Program, University of California San Francisco, San Francisco, CA 94518, USA
| | - Olga K Mirzoeva
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rosemary J Akhurst
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94518, USA
| | - Allan Balmain
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94518, USA
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15
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Lee J, Kim N, Cho KH. Decoding the principle of cell-fate determination for its reverse control. NPJ Syst Biol Appl 2024; 10:47. [PMID: 38710700 PMCID: PMC11074314 DOI: 10.1038/s41540-024-00372-2] [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: 12/11/2023] [Accepted: 04/16/2024] [Indexed: 05/08/2024] Open
Abstract
Understanding and manipulating cell fate determination is pivotal in biology. Cell fate is determined by intricate and nonlinear interactions among molecules, making mathematical model-based quantitative analysis indispensable for its elucidation. Nevertheless, obtaining the essential dynamic experimental data for model development has been a significant obstacle. However, recent advancements in large-scale omics data technology are providing the necessary foundation for developing such models. Based on accumulated experimental evidence, we can postulate that cell fate is governed by a limited number of core regulatory circuits. Following this concept, we present a conceptual control framework that leverages single-cell RNA-seq data for dynamic molecular regulatory network modeling, aiming to identify and manipulate core regulatory circuits and their master regulators to drive desired cellular state transitions. We illustrate the proposed framework by applying it to the reversion of lung cancer cell states, although it is more broadly applicable to understanding and controlling a wide range of cell-fate determination processes.
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Affiliation(s)
- Jonghoon Lee
- Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Namhee Kim
- Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
- biorevert, Inc., Daejeon, Republic of Korea
| | - Kwang-Hyun Cho
- Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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16
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Pandya P, Al-Qasrawi DS, Klinge S, Justilien V. Extracellular vesicles in non-small cell lung cancer stemness and clinical applications. Front Immunol 2024; 15:1369356. [PMID: 38765006 PMCID: PMC11099288 DOI: 10.3389/fimmu.2024.1369356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/18/2024] [Indexed: 05/21/2024] Open
Abstract
Non-small cell lung carcinoma (NSCLC) accounts for 85% of lung cancers, the leading cause of cancer associated deaths in the US and worldwide. Within NSCLC tumors, there is a subpopulation of cancer cells termed cancer stem cells (CSCs) which exhibit stem-like properties that drive NSCLC progression, metastasis, relapse, and therapeutic resistance. Extracellular vesicles (EVs) are membrane-bound nanoparticles secreted by cells that carry vital messages for short- and long-range intercellular communication. Numerous studies have implicated NSCLC CSC-derived EVs in the factors associated with NSCLC lethality. In this review, we have discussed mechanisms of EV-directed cross-talk between CSCs and cells of the tumor microenvironment that promote stemness, tumor progression and metastasis in NSCLC. The mechanistic studies discussed herein have provided insights for developing novel NSCLC diagnostic and prognostic biomarkers and strategies to therapeutically target the NSCLC CSC niche.
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Affiliation(s)
- Prita Pandya
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States
- Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, United States
| | | | - Skyeler Klinge
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States
- Department of Biology, University of North Florida, Jacksonville, FL, United States
| | - Verline Justilien
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States
- Comprehensive Cancer Center, Mayo Clinic, Jacksonville, FL, United States
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17
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Sánchez Rivera FJ, Dow LE. How CRISPR Is Revolutionizing the Generation of New Models for Cancer Research. Cold Spring Harb Perspect Med 2024; 14:a041384. [PMID: 37487630 PMCID: PMC11065179 DOI: 10.1101/cshperspect.a041384] [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] [Indexed: 07/26/2023]
Abstract
Cancers arise through acquisition of mutations in genes that regulate core biological processes like cell proliferation and cell death. Decades of cancer research have led to the identification of genes and mutations causally involved in disease development and evolution, yet defining their precise function across different cancer types and how they influence therapy responses has been challenging. Mouse models have helped define the in vivo function of cancer-associated alterations, and genome-editing approaches using CRISPR have dramatically accelerated the pace at which these models are developed and studied. Here, we highlight how CRISPR technologies have impacted the development and use of mouse models for cancer research and discuss the many ways in which these rapidly evolving platforms will continue to transform our understanding of this disease.
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Affiliation(s)
- Francisco J Sánchez Rivera
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Lukas E Dow
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York 10065, USA
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18
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Laisné M, Rodgers B, Benlamara S, Wicinski J, Nicolas A, Djerroudi L, Gupta N, Ferry L, Kirsh O, Daher D, Philippe C, Okada Y, Charafe-Jauffret E, Cristofari G, Meseure D, Vincent-Salomon A, Ginestier C, Defossez PA. A novel bioinformatic approach reveals cooperation between Cancer/Testis genes in basal-like breast tumors. Oncogene 2024; 43:1369-1385. [PMID: 38467851 PMCID: PMC11065691 DOI: 10.1038/s41388-024-03002-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 03/13/2024]
Abstract
Breast cancer is the most prevalent type of cancer in women worldwide. Within breast tumors, the basal-like subtype has the worst prognosis, prompting the need for new tools to understand, detect, and treat these tumors. Certain germline-restricted genes show aberrant expression in tumors and are known as Cancer/Testis genes; their misexpression has diagnostic and therapeutic applications. Here we designed a new bioinformatic approach to examine Cancer/Testis gene misexpression in breast tumors. We identify several new markers in Luminal and HER-2 positive tumors, some of which predict response to chemotherapy. We then use machine learning to identify the two Cancer/Testis genes most associated with basal-like breast tumors: HORMAD1 and CT83. We show that these genes are expressed by tumor cells and not by the microenvironment, and that they are not expressed by normal breast progenitors; in other words, their activation occurs de novo. We find these genes are epigenetically repressed by DNA methylation, and that their activation upon DNA demethylation is irreversible, providing a memory of past epigenetic disturbances. Simultaneous expression of both genes in breast cells in vitro has a synergistic effect that increases stemness and activates a transcriptional profile also observed in double-positive tumors. Therefore, we reveal a functional cooperation between Cancer/Testis genes in basal breast tumors; these findings have consequences for the understanding, diagnosis, and therapy of the breast tumors with the worst outcomes.
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Affiliation(s)
- Marthe Laisné
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Brianna Rodgers
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Sarah Benlamara
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Julien Wicinski
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe Labellisée LIGUE Contre le Cancer, Marseille, France
| | - André Nicolas
- Platform of Experimental Pathology, Department of Diagnostic and Theranostic Medicine, Institut Curie-Hospital, 75005, Paris, France
| | - Lounes Djerroudi
- Department of Pathology, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Nikhil Gupta
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Laure Ferry
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Olivier Kirsh
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | - Diana Daher
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013, Paris, France
| | | | - Yuki Okada
- Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, Japan
| | - Emmanuelle Charafe-Jauffret
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe Labellisée LIGUE Contre le Cancer, Marseille, France
| | | | - Didier Meseure
- Platform of Experimental Pathology, Department of Diagnostic and Theranostic Medicine, Institut Curie-Hospital, 75005, Paris, France
| | | | - Christophe Ginestier
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe Labellisée LIGUE Contre le Cancer, Marseille, France
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19
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Huang Y, Qin Y, He Y, Qiu D, Zheng Y, Wei J, Zhang L, Yang DH, Li Y. Advances in molecular targeted drugs in combination with CAR-T cell therapy for hematologic malignancies. Drug Resist Updat 2024; 74:101082. [PMID: 38569225 DOI: 10.1016/j.drup.2024.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/03/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Molecular targeted drugs and chimeric antigen receptor (CAR) T cell therapy represent specific biological treatments that have significantly improved the efficacy of treating hematologic malignancies. However, they face challenges such as drug resistance and recurrence after treatment. Combining molecular targeted drugs and CAR-T cells could regulate immunity, improve tumor microenvironment (TME), promote cell apoptosis, and enhance sensitivity to tumor cell killing. This approach might provide a dual coordinated attack on cancer cells, effectively eliminating minimal residual disease and overcoming therapy resistance. Moreover, molecular targeted drugs can directly or indirectly enhance the anti-tumor effect of CAR-T cells by inducing tumor target antigen expression, reversing CAR-T cell exhaustion, and reducing CAR-T cell associated toxic side effects. Therefore, combining molecular targeted drugs with CAR-T cells is a promising and novel tactic for treating hematologic malignancies. In this review article, we focus on analyzing the mechanism of therapy resistance and its reversal of CAR-T cell therapy resistance, as well as the synergistic mechanism, safety, and future challenges in CAR-T cell therapy in combination with molecular targeted drugs. We aim to explore the benefits of this combination therapy for patients with hematologic malignancies and provide a rationale for subsequent clinical studies.
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Affiliation(s)
- Yuxian Huang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China.
| | - Yinjie Qin
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Yingzhi He
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Dezhi Qiu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Yeqin Zheng
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Jiayue Wei
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Lenghe Zhang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China
| | - Dong-Hua Yang
- New York College of Traditional Chinese Medicine, Mineola, NY, USA.
| | - Yuhua Li
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong, China.
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20
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Renaut S, Saavedra Armero V, Boudreau DK, Gaudreault N, Desmeules P, Thériault S, Mathieu P, Joubert P, Bossé Y. Single-cell and single-nucleus RNA-sequencing from paired normal-adenocarcinoma lung samples provide both common and discordant biological insights. PLoS Genet 2024; 20:e1011301. [PMID: 38814983 PMCID: PMC11166281 DOI: 10.1371/journal.pgen.1011301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 06/11/2024] [Accepted: 05/13/2024] [Indexed: 06/01/2024] Open
Abstract
Whether single-cell RNA-sequencing (scRNA-seq) captures the same biological information as single-nucleus RNA-sequencing (snRNA-seq) remains uncertain and likely to be context-dependent. Herein, a head-to-head comparison was performed in matched normal-adenocarcinoma human lung samples to assess biological insights derived from scRNA-seq versus snRNA-seq and better understand the cellular transition that occurs from normal to tumoral tissue. Here, the transcriptome of 160,621 cells/nuclei was obtained. In non-tumor lung, cell type proportions varied widely between scRNA-seq and snRNA-seq with a predominance of immune cells in the former (81.5%) and epithelial cells (69.9%) in the later. Similar results were observed in adenocarcinomas, in addition to an overall increase in cell type heterogeneity and a greater prevalence of copy number variants in cells of epithelial origin, which suggests malignant assignment. The cell type transition that occurs from normal lung tissue to adenocarcinoma was not always concordant whether cells or nuclei were examined. As expected, large differential expression of the whole-cell and nuclear transcriptome was observed, but cell-type specific changes of paired normal and tumor lung samples revealed a set of common genes in the cells and nuclei involved in cancer-related pathways. In addition, we showed that the ligand-receptor interactome landscape of lung adenocarcinoma was largely different whether cells or nuclei were evaluated. Immune cell depletion in fresh specimens partly mitigated the difference in cell type composition observed between cells and nuclei. However, the extra manipulations affected cell viability and amplified the transcriptional signatures associated with stress responses. In conclusion, research applications focussing on mapping the immune landscape of lung adenocarcinoma benefit from scRNA-seq in fresh samples, whereas snRNA-seq of frozen samples provide a low-cost alternative to profile more epithelial and cancer cells, and yield cell type proportions that more closely match tissue content.
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Affiliation(s)
- Sébastien Renaut
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Victoria Saavedra Armero
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Dominique K. Boudreau
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Nathalie Gaudreault
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Patrice Desmeules
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Sébastien Thériault
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Patrick Mathieu
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec–Université Laval, Quebec City, Canada
- Department of Molecular Medicine, Université Laval, Quebec City, Canada
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21
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Wang K, Hou L, Wang X, Zhai X, Lu Z, Zi Z, Zhai W, He X, Curtis C, Zhou D, Hu Z. PhyloVelo enhances transcriptomic velocity field mapping using monotonically expressed genes. Nat Biotechnol 2024; 42:778-789. [PMID: 37524958 DOI: 10.1038/s41587-023-01887-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 06/28/2023] [Indexed: 08/02/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) is a powerful approach for studying cellular differentiation, but accurately tracking cell fate transitions can be challenging, especially in disease conditions. Here we introduce PhyloVelo, a computational framework that estimates the velocity of transcriptomic dynamics by using monotonically expressed genes (MEGs) or genes with expression patterns that either increase or decrease, but do not cycle, through phylogenetic time. Through integration of scRNA-seq data with lineage information, PhyloVelo identifies MEGs and reconstructs a transcriptomic velocity field. We validate PhyloVelo using simulated data and Caenorhabditis elegans ground truth data, successfully recovering linear, bifurcated and convergent differentiations. Applying PhyloVelo to seven lineage-traced scRNA-seq datasets, generated using CRISPR-Cas9 editing, lentiviral barcoding or immune repertoire profiling, demonstrates its high accuracy and robustness in inferring complex lineage trajectories while outperforming RNA velocity. Additionally, we discovered that MEGs across tissues and organisms share similar functions in translation and ribosome biogenesis.
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Affiliation(s)
- Kun Wang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Mathematical Sciences, Xiamen University, Xiamen, China
| | - Liangzhen Hou
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Health Sciences, University of Macau, Taipa, Macau, China
| | - Xin Wang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiangwei Zhai
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Zhaolian Lu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhike Zi
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Weiwei Zhai
- CAS Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Xionglei He
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Christina Curtis
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Da Zhou
- School of Mathematical Sciences, Xiamen University, Xiamen, China.
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
| | - Zheng Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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22
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Lambert AW, Zhang Y, Weinberg RA. Cell-intrinsic and microenvironmental determinants of metastatic colonization. Nat Cell Biol 2024; 26:687-697. [PMID: 38714854 DOI: 10.1038/s41556-024-01409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/21/2024] [Indexed: 05/18/2024]
Abstract
Cancer metastasis is a biologically complex process that remains a major challenge in the oncology clinic, accounting for nearly all of the mortality associated with malignant neoplasms. To establish metastatic growths, carcinoma cells must disseminate from the primary tumour, survive in unfamiliar tissue microenvironments, re-activate programs of proliferation, and escape innate and adaptive immunosurveillance. The entire process is extremely inefficient and can occur over protracted timescales, yielding only a vanishingly small number of carcinoma cells that are able to complete all of the required steps. Here we review both the cancer-cell-intrinsic mechanisms and microenvironmental interactions that enable metastatic colonization. In particular, we highlight recent work on the behaviour of already-disseminated tumour cells, since meaningful progress in treating metastatic disease will clearly require a better understanding of the cells that spawn metastases, which generally have disseminated by the time of initial diagnosis.
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Affiliation(s)
- Arthur W Lambert
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA, USA
| | - Yun Zhang
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Robert A Weinberg
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- MIT Ludwig Center, Cambridge, MA, USA.
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23
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Tong X, Patel AS, Kim E, Li H, Chen Y, Li S, Liu S, Dilly J, Kapner KS, Zhang N, Xue Y, Hover L, Mukhopadhyay S, Sherman F, Myndzar K, Sahu P, Gao Y, Li F, Li F, Fang Z, Jin Y, Gao J, Shi M, Sinha S, Chen L, Chen Y, Kheoh T, Yang W, Yanai I, Moreira AL, Velcheti V, Neel BG, Hu L, Christensen JG, Olson P, Gao D, Zhang MQ, Aguirre AJ, Wong KK, Ji H. Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer. Cancer Cell 2024; 42:413-428.e7. [PMID: 38402609 DOI: 10.1016/j.ccell.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/07/2023] [Accepted: 01/29/2024] [Indexed: 02/27/2024]
Abstract
KRASG12C inhibitors (adagrasib and sotorasib) have shown clinical promise in targeting KRASG12C-mutated lung cancers; however, most patients eventually develop resistance. In lung patients with adenocarcinoma with KRASG12C and STK11/LKB1 co-mutations, we find an enrichment of the squamous cell carcinoma gene signature in pre-treatment biopsies correlates with a poor response to adagrasib. Studies of Lkb1-deficient KRASG12C and KrasG12D lung cancer mouse models and organoids treated with KRAS inhibitors reveal tumors invoke a lineage plasticity program, adeno-to-squamous transition (AST), that enables resistance to KRAS inhibition. Transcriptomic and epigenomic analyses reveal ΔNp63 drives AST and modulates response to KRAS inhibition. We identify an intermediate high-plastic cell state marked by expression of an AST plasticity signature and Krt6a. Notably, expression of the AST plasticity signature and KRT6A at baseline correlates with poor adagrasib responses. These data indicate the role of AST in KRAS inhibitor resistance and provide predictive biomarkers for KRAS-targeted therapies in lung cancer.
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Affiliation(s)
- Xinyuan Tong
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ayushi S Patel
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Eejung Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hongjun Li
- MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, BNRist, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Yueqing Chen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Li
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Shengwu Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julien Dilly
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Biological and biomedical sciences program, Harvard Medical School, Boston, MA 02115, USA
| | - Kevin S Kapner
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ningxia Zhang
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China
| | - Yun Xue
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, 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
| | - Laura Hover
- Monoceros Biosystems, LLC, San Diego, CA 92129, USA
| | - Suman Mukhopadhyay
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Fiona Sherman
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Khrystyna Myndzar
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Priyanka Sahu
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Yijun Gao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Fuming Li
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200438, China
| | - Zhaoyuan Fang
- Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Haining 314400, China; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Yujuan Jin
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Juntao Gao
- Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, BNRist, Tsinghua University, Beijing 100084, China
| | - Minglei Shi
- Institute of Medical Innovation, Peking University Third Hospital, Beijing 100191, China
| | - Satrajit Sinha
- Department of Biochemistry, State University of New York at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY 14203, USA
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, 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; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China; West China Biomedical Big Data Center, Med-X Center for Informatics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yang Chen
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Thian Kheoh
- Mirati Therapeutics, San Diego, CA 92121, USA
| | | | - Itai Yanai
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA; Institute of Systems Genetics, New York University Langone Health, New York, NY 10016, USA
| | - Andre L Moreira
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Vamsidhar Velcheti
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Benjamin G Neel
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Liang Hu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Peter Olson
- Mirati Therapeutics, San Diego, CA 92121, USA
| | - Dong Gao
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Michael Q Zhang
- Department of Biological Sciences, Center for Systems Biology, The University of Texas, Richardson, TX 75080, USA.
| | - Andrew J Aguirre
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Kwok-Kin Wong
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.
| | - Hongbin Ji
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 200120, China.
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24
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Han G, Sinjab A, Rahal Z, Lynch AM, Treekitkarnmongkol W, Liu Y, Serrano AG, Feng J, Liang K, Khan K, Lu W, Hernandez SD, Liu Y, Cao X, Dai E, Pei G, Hu J, Abaya C, Gomez-Bolanos LI, Peng F, Chen M, Parra ER, Cascone T, Sepesi B, Moghaddam SJ, Scheet P, Negrao MV, Heymach JV, Li M, Dubinett SM, Stevenson CS, Spira AE, Fujimoto J, Solis LM, Wistuba II, Chen J, Wang L, Kadara H. An atlas of epithelial cell states and plasticity in lung adenocarcinoma. Nature 2024; 627:656-663. [PMID: 38418883 PMCID: PMC10954546 DOI: 10.1038/s41586-024-07113-9] [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: 05/10/2022] [Accepted: 01/24/2024] [Indexed: 03/02/2024]
Abstract
Understanding the cellular processes that underlie early lung adenocarcinoma (LUAD) development is needed to devise intervention strategies1. Here we studied 246,102 single epithelial cells from 16 early-stage LUADs and 47 matched normal lung samples. Epithelial cells comprised diverse normal and cancer cell states, and diversity among cancer cells was strongly linked to LUAD-specific oncogenic drivers. KRAS mutant cancer cells showed distinct transcriptional features, reduced differentiation and low levels of aneuploidy. Non-malignant areas surrounding human LUAD samples were enriched with alveolar intermediate cells that displayed elevated KRT8 expression (termed KRT8+ alveolar intermediate cells (KACs) here), reduced differentiation, increased plasticity and driver KRAS mutations. Expression profiles of KACs were enriched in lung precancer cells and in LUAD cells and signified poor survival. In mice exposed to tobacco carcinogen, KACs emerged before lung tumours and persisted for months after cessation of carcinogen exposure. Moreover, they acquired Kras mutations and conveyed sensitivity to targeted KRAS inhibition in KAC-enriched organoids derived from alveolar type 2 (AT2) cells. Last, lineage-labelling of AT2 cells or KRT8+ cells following carcinogen exposure showed that KACs are possible intermediates in AT2-to-tumour cell transformation. This study provides new insights into epithelial cell states at the root of LUAD development, and such states could harbour potential targets for prevention or intervention.
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Affiliation(s)
- Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zahraa Rahal
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anne M Lynch
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
| | - Warapen Treekitkarnmongkol
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuejiang Liu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Alejandra G Serrano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiping Feng
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ke Liang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khaja Khan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharia D Hernandez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yunhe Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xuanye Cao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Hu
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Camille Abaya
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lorena I Gomez-Bolanos
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Minyue Chen
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tina Cascone
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Cardiovascular and Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Seyed Javad Moghaddam
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic, Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven M Dubinett
- Department of Medicine, The University of California Los Angeles, Los Angeles, CA, USA
| | | | - Avrum E Spira
- Lung Cancer Initiative at Johnson & Johnson, Boston, MA, USA
- Section of Computational Biomedicine, School of Medicine, Boston University, Boston, MA, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jichao Chen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas Health Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
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25
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Huyghe A, Trajkova A, Lavial F. Cellular plasticity in reprogramming, rejuvenation and tumorigenesis: a pioneer TF perspective. Trends Cell Biol 2024; 34:255-267. [PMID: 37648593 DOI: 10.1016/j.tcb.2023.07.013] [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: 05/10/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023]
Abstract
The multistep process of in vivo reprogramming, mediated by the transcription factors (TFs) Oct4, Sox2, Klf4, and c-Myc (OSKM), holds great promise for the development of rejuvenating and regenerative strategies. However, most of the approaches developed so far are accompanied by a persistent risk of tumorigenicity. Here, we review the groundbreaking effects of in vivo reprogramming with a particular focus on rejuvenation and regeneration. We discuss how the activity of pioneer TFs generates cellular plasticity that may be critical for inducing not only reprogramming and regeneration, but also cancer initiation. Finally, we highlight how a better understanding of the uncoupled control of cellular identity, plasticity, and aging during reprogramming might pave the way to the development of rejuvenating/regenerating strategies in a nontumorigenic manner.
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Affiliation(s)
- Aurélia Huyghe
- Cellular Reprogramming, Stem Cells and Oncogenesis Laboratory, Equipe Labellisée la Ligue Contre le Cancer, Labex Dev2Can - Univeristy of Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France
| | - Aneta Trajkova
- Cellular Reprogramming, Stem Cells and Oncogenesis Laboratory, Equipe Labellisée la Ligue Contre le Cancer, Labex Dev2Can - Univeristy of Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France
| | - Fabrice Lavial
- Cellular Reprogramming, Stem Cells and Oncogenesis Laboratory, Equipe Labellisée la Ligue Contre le Cancer, Labex Dev2Can - Univeristy of Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France.
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26
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Revsine M, Wang L, Forgues M, Behrens S, Craig AJ, Liu M, Tran B, Kelly M, Budhu A, Monge C, Xie C, Hernandez JM, Greten TF, Wang XW, Ma L. Lineage and ecology define liver tumor evolution in response to treatment. Cell Rep Med 2024; 5:101394. [PMID: 38280378 PMCID: PMC10897542 DOI: 10.1016/j.xcrm.2024.101394] [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: 08/15/2023] [Revised: 11/09/2023] [Accepted: 01/03/2024] [Indexed: 01/29/2024]
Abstract
A tumor ecosystem constantly evolves over time in the face of immune predation or therapeutic intervention, resulting in treatment failure and tumor progression. Here, we present a single-cell transcriptome-based strategy to determine the evolution of longitudinal tumor biopsies from liver cancer patients by measuring cellular lineage and ecology. We construct a lineage and ecological score as joint dynamics of tumor cells and their microenvironments. Tumors may be classified into four main states in the lineage-ecological space, which are associated with clinical outcomes. Analysis of longitudinal samples reveals the evolutionary trajectory of tumors in response to treatment. We validate the lineage-ecology-based scoring system in predicting clinical outcomes using bulk transcriptomic data of additional cohorts of 716 liver cancer patients. Our study provides a framework for monitoring tumor evolution in response to therapeutic intervention.
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Affiliation(s)
- Mahler Revsine
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Limin Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Marshonna Forgues
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Shay Behrens
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Amanda J Craig
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Meng Liu
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Bao Tran
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 20701, USA
| | - Michael Kelly
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 20701, USA
| | - Anuradha Budhu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Cecilia Monge
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Changqing Xie
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jonathan M Hernandez
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tim F Greten
- Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Lichun Ma
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
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27
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Fiste O, Gkiozos I, Charpidou A, Syrigos NK. Artificial Intelligence-Based Treatment Decisions: A New Era for NSCLC. Cancers (Basel) 2024; 16:831. [PMID: 38398222 PMCID: PMC10887017 DOI: 10.3390/cancers16040831] [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: 01/31/2024] [Revised: 02/12/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024] Open
Abstract
Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality among women and men, in developed countries, despite the public health interventions including tobacco-free campaigns, screening and early detection methods, recent therapeutic advances, and ongoing intense research on novel antineoplastic modalities. Targeting oncogenic driver mutations and immune checkpoint inhibition has indeed revolutionized NSCLC treatment, yet there still remains the unmet need for robust and standardized predictive biomarkers to accurately inform clinical decisions. Artificial intelligence (AI) represents the computer-based science concerned with large datasets for complex problem-solving. Its concept has brought a paradigm shift in oncology considering its immense potential for improved diagnosis, treatment guidance, and prognosis. In this review, we present the current state of AI-driven applications on NSCLC management, with a particular focus on radiomics and pathomics, and critically discuss both the existing limitations and future directions in this field. The thoracic oncology community should not be discouraged by the likely long road of AI implementation into daily clinical practice, as its transformative impact on personalized treatment approaches is undeniable.
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Affiliation(s)
- Oraianthi Fiste
- Oncology Unit, Third Department of Internal Medicine and Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.G.); (A.C.); (N.K.S.)
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Zhao W, Kepecs B, Mahadevan NR, Segerstolpe A, Weirather JL, Besson NR, Giotti B, Soong BY, Li C, Vigneau S, Slyper M, Wakiro I, Jane-Valbuena J, Ashenberg O, Rotem A, Bueno R, Rozenblatt-Rosen O, Pfaff K, Rodig S, Hata AN, Regev A, Johnson BE, Tsankov AM. A cellular and spatial atlas of TP53 -associated tissue remodeling in lung adenocarcinoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.28.546977. [PMID: 37425718 PMCID: PMC10327017 DOI: 10.1101/2023.06.28.546977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
TP53 is the most frequently mutated gene across many cancers and is associated with shorter survival in lung adenocarcinoma (LUAD). To define how TP53 mutations affect the LUAD tumor microenvironment (TME), we constructed a multi-omic cellular and spatial tumor atlas of 23 treatment-naïve human lung tumors. We found that TP53 -mutant ( TP53 mut ) malignant cells lose alveolar identity and upregulate highly proliferative and entropic gene expression programs consistently across resectable LUAD patient tumors, genetically engineered mouse models, and cell lines harboring a wide spectrum of TP53 mutations. We further identified a multicellular tumor niche composed of SPP1 + macrophages and collagen-expressing fibroblasts that coincides with hypoxic, pro-metastatic expression programs in TP53 mut tumors. Spatially correlated angiostatic and immune checkpoint interactions, including CD274 - PDCD1 and PVR - TIGIT , are also enriched in TP53 mut LUAD tumors, which may influence response to checkpoint blockade therapy. Our methodology can be further applied to investigate mutation-specific TME changes in other cancers.
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29
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Qin X, Tape CJ. Functional analysis of cell plasticity using single-cell technologies. Trends Cell Biol 2024:S0962-8924(24)00006-0. [PMID: 38355348 DOI: 10.1016/j.tcb.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/09/2024] [Accepted: 01/15/2024] [Indexed: 02/16/2024]
Abstract
Metazoan organisms are heterocellular systems composed of hundreds of different cell types, which arise from an isogenic genome through differentiation. Cellular 'plasticity' further enables cells to alter their fate in response to exogenous cues and is involved in a variety of processes, such as wound healing, infection, and cancer. Recent advances in cellular model systems, high-dimensional single-cell technologies, and lineage tracing have sparked a renaissance in plasticity research. Here, we discuss the definition of cell plasticity, evaluate state-of-the-art model systems and techniques to study cell-fate dynamics, and explore the application of single-cell technologies to obtain functional insights into cell plasticity in healthy and diseased tissues. The integration of advanced biomimetic model systems, single-cell technologies, and high-throughput perturbation studies is enabling a new era of research into non-genetic plasticity in metazoan systems.
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Affiliation(s)
- Xiao Qin
- MRC Translational Immune Discovery Unit, MRC Weatherall Institute of Molecular Medicine, Oxford, OX3 9DS, UK.
| | - Christopher J Tape
- Cell Communication Lab, Department of Oncology, University College London Cancer Institute, 72 Huntley Street, London, WC1E 6DD, UK.
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30
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Li Z, Zhuang X, Pan CH, Yan Y, Thummalapalli R, Hallin J, Torborg S, Singhal A, Chang JC, Manchado E, Dow LE, Yaeger R, Christensen JG, Lowe SW, Rudin CM, Joost S, Tammela T. Alveolar Differentiation Drives Resistance to KRAS Inhibition in Lung Adenocarcinoma. Cancer Discov 2024; 14:308-325. [PMID: 37931288 PMCID: PMC10922405 DOI: 10.1158/2159-8290.cd-23-0289] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/20/2023] [Accepted: 11/03/2023] [Indexed: 11/08/2023]
Abstract
Lung adenocarcinoma (LUAD), commonly driven by KRAS mutations, is responsible for 7% of all cancer mortality. The first allele-specific KRAS inhibitors were recently approved in LUAD, but the clinical benefit is limited by intrinsic and acquired resistance. LUAD predominantly arises from alveolar type 2 (AT2) cells, which function as facultative alveolar stem cells by self-renewing and replacing alveolar type 1 (AT1) cells. Using genetically engineered mouse models, patient-derived xenografts, and patient samples, we found inhibition of KRAS promotes transition to a quiescent AT1-like cancer cell state in LUAD tumors. Similarly, suppressing Kras induced AT1 differentiation of wild-type AT2 cells upon lung injury. The AT1-like LUAD cells exhibited high growth and differentiation potential upon treatment cessation, whereas ablation of the AT1-like cells robustly improved treatment response to KRAS inhibitors. Our results uncover an unexpected role for KRAS in promoting intratumoral heterogeneity and suggest that targeting alveolar differentiation may augment KRAS-targeted therapies in LUAD. SIGNIFICANCE Treatment resistance limits response to KRAS inhibitors in LUAD patients. We find LUAD residual disease following KRAS targeting is composed of AT1-like cancer cells with the capacity to reignite tumorigenesis. Targeting the AT1-like cells augments responses to KRAS inhibition, elucidating a therapeutic strategy to overcome resistance to KRAS-targeted therapy. This article is featured in Selected Articles from This Issue, p. 201.
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Affiliation(s)
- Zhuxuan Li
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Weill Cornell Graduate School of Medical Science, Weill Cornell Medicine, New York, New York 10065, USA
| | - Xueqian Zhuang
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Chun-Hao Pan
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Yan Yan
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Rohit Thummalapalli
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Jill Hallin
- Mirati Therapeutics, San Diego, California 92121, USA
| | - Stefan Torborg
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, New York 10065, USA
| | - Anupriya Singhal
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Jason C. Chang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Eusebio Manchado
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Novartis Institute for Biomedical Research, Oncology Disease Area, Novartis Pharma AD, Basel, Switzerland
| | - Lukas E. Dow
- Weill Cornell Graduate School of Medical Science, Weill Cornell Medicine, New York, New York 10065, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York 10065, USA
| | - Rona Yaeger
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | | | - Scott W. Lowe
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Charles M. Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Simon Joost
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Tuomas Tammela
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
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31
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Lin S, He C, Song L, Sun L, Zhao R, Min W, Zhao Y. Exosomal lncCRLA is predictive for the evolvement and development of lung adenocarcinoma. Cancer Lett 2024; 582:216588. [PMID: 38097132 DOI: 10.1016/j.canlet.2023.216588] [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: 08/25/2023] [Revised: 11/07/2023] [Accepted: 12/04/2023] [Indexed: 12/19/2023]
Abstract
Lung adenocarcinoma, the most common histological subtype of non-small cell lung cancer, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Our team uncovers that lncRNA related to chemotherapy resistance in lung adenocarcinoma (lncCRLA) is preferentially expressed in lung adenocarcinoma cells with the mesenchymal phenotype. lncCRLA can not enhance chemotherapy resistance in lung adenocarcinoma due to its binding to RIPK1 in exosomes, which is released into intercellular media and transferred by exosomes from mesenchymal-like to epithelial-like cells. However, plasmatic lncCRLA corresponding to tissue lncCRLA functions as a preferred biomarker to reflect the response to chemotherapy and disease progression of lung adenocarcinoma. Through single-cell sequencing, RNA-Mutect technique and spatial transcriptomics, a handful of hybrid EMT cells with elevated lncCRLA are characterized as the origin of lung adenocarcinoma, which are indiscriminated from hybrid EMT cells by the in-depth sequencing. Plasmatic lncCRLA is properly predictive for the preinvasive lesion of lung adenocarcinoma that would evolve to invasive lesion. That notion is confirmed by a brand-new transgenic mouse model in which EMT is tracked by Cre and Dre system. Dasatinib is potential to hinder the spontaneous progression from preinvasive to invasive lesion of lung adenocarcinoma. Together, plasmatic lncCRLA is defined as a brand-new circulating biomarker to predict the occurrence and evolvement of lung adenocarcinoma, a light for early detection of lung adenocarcinoma.
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Affiliation(s)
- Shuai Lin
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Chenyang He
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Lingqin Song
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Liangzhang Sun
- Thoracic Department, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Renyang Zhao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Weili Min
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Yang Zhao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
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32
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Torborg SR, Grbovic-Huezo O, Singhal A, Holm M, Wu K, Han X, Ho YJ, Haglund C, Mitchell MJ, Lowe SW, Dow LE, Pitter KL, Sanchez-Rivera FJ, Levchenko A, Tammela T. Solid tumor growth depends on an intricate equilibrium of malignant cell states. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.30.573100. [PMID: 38234855 PMCID: PMC10793475 DOI: 10.1101/2023.12.30.573100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Control of cell identity and number is central to tissue function, yet principles governing organization of malignant cells in tumor tissues remain poorly understood. Using mathematical modeling and candidate-based analysis, we discover primary and metastatic pancreatic ductal adenocarcinoma (PDAC) organize in a stereotypic pattern whereby PDAC cells responding to WNT signals (WNT-R) neighbor WNT-secreting cancer cells (WNT-S). Leveraging lineage-tracing, we reveal the WNT-R state is transient and gives rise to the WNT-S state that is highly stable and committed to organizing malignant tissue. We further show that a subset of WNT-S cells expressing the Notch ligand DLL1 form a functional niche for WNT-R cells. Genetic inactivation of WNT secretion or Notch pathway components, or cytoablation of the WNT-S state disrupts PDAC tissue organization, suppressing tumor growth and metastasis. This work indicates PDAC growth depends on an intricately controlled equilibrium of functionally distinct cancer cell states, uncovering a fundamental principle governing solid tumor growth and revealing new opportunities for therapeutic intervention.
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33
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Chen CC, Tran W, Song K, Sugimoto T, Obusan MB, Wang L, Sheu KM, Cheng D, Ta L, Varuzhanyan G, Huang A, Xu R, Zeng Y, Borujerdpur A, Bayley NA, Noguchi M, Mao Z, Morrissey C, Corey E, Nelson PS, Zhao Y, Huang J, Park JW, Witte ON, Graeber TG. Temporal evolution reveals bifurcated lineages in aggressive neuroendocrine small cell prostate cancer trans-differentiation. Cancer Cell 2023; 41:2066-2082.e9. [PMID: 37995683 PMCID: PMC10878415 DOI: 10.1016/j.ccell.2023.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/25/2023] [Accepted: 10/30/2023] [Indexed: 11/25/2023]
Abstract
Trans-differentiation from an adenocarcinoma to a small cell neuroendocrine state is associated with therapy resistance in multiple cancer types. To gain insight into the underlying molecular events of the trans-differentiation, we perform a multi-omics time course analysis of a pan-small cell neuroendocrine cancer model (termed PARCB), a forward genetic transformation using human prostate basal cells and identify a shared developmental, arc-like, and entropy-high trajectory among all transformation model replicates. Further mapping with single cell resolution reveals two distinct lineages defined by mutually exclusive expression of ASCL1 or ASCL2. Temporal regulation by groups of transcription factors across developmental stages reveals that cellular reprogramming precedes the induction of neuronal programs. TFAP4 and ASCL1/2 feedback are identified as potential regulators of ASCL1 and ASCL2 expression. Our study provides temporal transcriptional patterns and uncovers pan-tissue parallels between prostate and lung cancers, as well as connections to normal neuroendocrine cell states.
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Affiliation(s)
- Chia-Chun Chen
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Wendy Tran
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Kai Song
- Department of Bioengineering, UCLA, Los Angeles, CA, USA
| | - Tyler Sugimoto
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Matthew B Obusan
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Liang Wang
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Katherine M Sheu
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Donghui Cheng
- Eli and Edythe Broad Stem Cell Research Center, UCLA, Los Angeles, CA, USA
| | - Lisa Ta
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Grigor Varuzhanyan
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Arthur Huang
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Runzhe Xu
- Department of Biological Chemistry, UCLA, Los Angeles, CA, USA
| | - Yuanhong Zeng
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Amirreza Borujerdpur
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Nicholas A Bayley
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Miyako Noguchi
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA
| | - Zhiyuan Mao
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Colm Morrissey
- Department of Urology, University of Washington School of Medicine, Seattle, WA, USA
| | - Eva Corey
- Department of Urology, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter S Nelson
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA; Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Yue Zhao
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA; Department of Pathology, College of Basic Medical Sciences and the First Hospital, China Medical University, Shenyang, China
| | - Jiaoti Huang
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
| | - Jung Wook Park
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
| | - Owen N Witte
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA; Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA; Eli and Edythe Broad Stem Cell Research Center, UCLA, Los Angeles, CA, USA; Molecular Biology Institute, UCLA, Los Angeles, CA, USA; Parker Institute for Cancer Immunotherapy, UCLA, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA, USA.
| | - Thomas G Graeber
- Department of Molecular and Medical Pharmacology, University of California Los Angeles (UCLA), Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA, USA; Crump Institute for Molecular Imaging, UCLA, Los Angeles, CA, USA; California NanoSystems Institute, UCLA, Los Angeles, CA, USA; Metabolomics Center, UCLA, Los Angeles, CA, USA.
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Mzoughi S, Schwarz M, Wang X, Demircioglu D, Ulukaya G, Mohammed K, Tullio FD, Company C, Dramaretska Y, Leushacke M, Giotti B, Lannagan T, Lozano-Ojalvo D, Hasson D, Tsankov AM, Sansom OJ, Marine JC, Barker N, Gargiulo G, Guccione E. A Mutation-driven oncofetal regression fuels phenotypic plasticity in colorectal cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.10.570854. [PMID: 38106050 PMCID: PMC10723414 DOI: 10.1101/2023.12.10.570854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Targeting cancer stem cells (CSCs) is crucial for effective cancer treatment 1 . However, the molecular mechanisms underlying resistance to LGR5 + CSCs depletion in colorectal cancer (CRC) 2,3 remain largely elusive. Here, we unveil the existence of a primitive cell state dubbed the oncofetal (OnF) state, which works in tandem with the LGR5 + stem cells (SCs) to fuel tumor evolution in CRC. OnF cells emerge early during intestinal tumorigenesis and exhibit features of lineage plasticity. Normally suppressed by the Retinoid X Receptor (RXR) in mature SCs, the OnF program is triggered by genetic deletion of the gatekeeper APC. We demonstrate that diminished RXR activity unlocks an epigenetic circuity governed by the cooperative action of YAP and AP1, leading to OnF reprogramming. This high-plasticity state is inherently resistant to conventional chemotherapies and its adoption by LGR5 + CSCs enables them to enter a drug-tolerant state. Furthermore, through phenotypic tracing and ablation experiments, we uncover a functional redundancy between the OnF and stem cell (SC) states and show that targeting both cellular states is essential for sustained tumor regression in vivo . Collectively, these findings establish a mechanistic foundation for developing effective combination therapies with enduring impact on CRC treatment.
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Deng H, Ge H, Dubey C, Losmanova T, Medová M, Konstantinidou G, Mutlu SM, Birrer FE, Brodie TM, Stroka D, Wang W, Peng RW, Dorn P, Marti TM. An optimized protocol for the generation and monitoring of conditional orthotopic lung cancer in the KP mouse model using an adeno-associated virus vector compatible with biosafety level 1. Cancer Immunol Immunother 2023; 72:4457-4470. [PMID: 37796299 DOI: 10.1007/s00262-023-03542-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 09/05/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND The inducible Kras/p53 lung adenocarcinoma mouse model, which faithfully recapitulates human disease, is routinely initiated by the intratracheal instillation of a virus-based Cre recombinase delivery system. Handling virus-based delivery systems requires elevated biosafety levels, e.g., biosafety level 2 (BSL-2). However, in experimental animal research facilities, following exposure to viral vectors in a BSL-2 environment, rodents may not be reclassified to BSL-1 according to standard practice, preventing access to small animal micro-computed tomography (micro-CT) scanners that are typically housed in general access areas such as BSL-1 rooms. Therefore, our goal was to adapt the protocol so that the Cre-induced KP mouse model could be handled under BSL-1 conditions during the entire procedure. RESULTS The Kras-Lox-STOP-Lox-G12D/p53 flox/flox (KP)-based lung adenocarcinoma mouse model was activated by intratracheal instillation of either an adenoviral-based or a gutless, adeno-associated viral-based Cre delivery system. Tumor growth was monitored over time by micro-CT. We have successfully substituted the virus-based Cre delivery system with a commercially available, gutless, adeno-associated, Cre-expressing vector that allows the KP mouse model to be handled and imaged in a BSL-1 facility. By optimizing the anesthesia protocol and switching to a microscope-guided vector instillation procedure, productivity was increased and procedure-related complications were significantly reduced. In addition, repeated micro-CT analysis of individual animals allowed us to monitor tumor growth longitudinally, dramatically reducing the number of animals required per experiment. Finally, we documented the evolution of tumor volume for different doses, which revealed that individual tumor nodules induced by low-titer AAV-Cre transductions can be monitored over time by micro-CT. CONCLUSION Modifications to the anesthesia and instillation protocols increased the productivity of the original KP protocol. In addition, the switch to a gutless, adeno-associated, Cre-expressing vector allowed longitudinal monitoring of tumor growth under BSL-1 conditions, significantly reducing the number of animals required for an experiment, in line with the 3R principles.
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Affiliation(s)
- Haibin Deng
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Thoracic Surgery Department 2, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Huixiang Ge
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Christelle Dubey
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
| | | | - Michaela Medová
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Department of Radiation Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Seyran Mathilde Mutlu
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabienne Esther Birrer
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Tess Melinda Brodie
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Deborah Stroka
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Wenxiang Wang
- Thoracic Surgery Department 2, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Ren-Wang Peng
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, Bern, Switzerland.
| | - Patrick Dorn
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, Bern, Switzerland.
| | - Thomas Michael Marti
- Department of General Thoracic Surgery, Inselspital, Bern University Hospital, University of Bern, Murtenstrasse 28, 3008, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, Bern, Switzerland.
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36
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Marques MPM, de Carvalho ALMB, Martins CB, Silva JD, Sarter M, García Sakai V, Stewart JR, de Carvalho LAEB. Cellular dynamics as a marker of normal-to-cancer transition in human cells. Sci Rep 2023; 13:21079. [PMID: 38030663 PMCID: PMC10687084 DOI: 10.1038/s41598-023-47649-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
Normal-to-cancer (NTC) transition is known to be closely associated to cell´s biomechanical properties which are dependent on the dynamics of the intracellular medium. This study probes different human cancer cells (breast, prostate and lung), concomitantly to their healthy counterparts, aiming at characterising the dynamical profile of water in distinct cellular locations, for each type of cell, and how it changes between normal and cancer states. An increased plasticity of the cytomatrix is observed upon normal-to-malignant transformation, the lung carcinoma cells displaying the highest flexibility followed by prostate and breast cancers. Also, lung cells show a distinct behaviour relative to breast and prostate, with a higher influence from hydration water motions and localised fast rotations upon NTC transformation. Quasielastic neutron scattering techniques allowed to accurately distinguish the different dynamical processes taking place within these highly heterogeneous cellular systems. The results thus obtained suggest that intracellular water dynamics may be regarded as a specific reporter of the cellular conditions-either healthy or malignant.
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Affiliation(s)
- M P M Marques
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, 3000-456, Coimbra, Portugal
| | - A L M Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535, Coimbra, Portugal.
| | - C B Martins
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, 3000-456, Coimbra, Portugal
| | - J D Silva
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, 3000-456, Coimbra, Portugal
| | - M Sarter
- STFC Rutherford Appleton Laboratory, ISIS Facility, Chilton, Didcot, OX11 0QX, UK
| | - V García Sakai
- STFC Rutherford Appleton Laboratory, ISIS Facility, Chilton, Didcot, OX11 0QX, UK
| | - J R Stewart
- STFC Rutherford Appleton Laboratory, ISIS Facility, Chilton, Didcot, OX11 0QX, UK
| | - L A E Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535, Coimbra, Portugal
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Chaudhary P, Xu X, Wang G, Hoj JP, Rampersad RR, Asselin-Labat ML, Ting S, Kim W, Tamayo P, Pendergast AM, Onaitis MW. Activation of KrasG12D in Subset of Alveolar Type II Cells Enhances Cellular Plasticity in Lung Adenocarcinoma. CANCER RESEARCH COMMUNICATIONS 2023; 3:2400-2411. [PMID: 37882674 PMCID: PMC10668634 DOI: 10.1158/2767-9764.crc-22-0408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 07/12/2023] [Accepted: 10/19/2023] [Indexed: 10/27/2023]
Abstract
We have previously identified alveolar type II cell as the cell-of-origin of KrasG12D-induced lung adenocarcinoma using cell lineage-specific inducible Cre mouse models. Using gain-of-function and loss-of-function genetic models, we discovered that active Notch signaling and low Sox2 levels dictate the ability of type II cells to proliferate and progress into lung adenocarcinoma upon KrasG12D activation. Here, we examine the phenotype of type II cells after Kras activation and find evidence for proliferation of cells that coexpress type I and type II markers. Three-dimensional organoid culture and transplantation studies determine that these dual-positive cells are highly plastic and tumor initiating in vivo. RNA sequencing analysis reveals that these dual-positive cells are enriched in Ras/MAPK, EGFR, and Notch pathways. Furthermore, the proliferation of these cells requires active Notch signaling and is inhibited by genetic/chemical Sox2 upregulation. Our findings could provide new therapeutic strategies to target KRAS-activated lung adenocarcinomas. SIGNIFICANCE Identification of progenitor like tumor-initiating cells in KRAS-mutant lung adenocarcinoma may allow development of novel targeted therapeutics.
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Affiliation(s)
- Priyanka Chaudhary
- Moores Cancer Center, University of California San Diego, San Diego, California
- Department of Surgery, University of California San Diego, San Diego, California
| | - Xia Xu
- Department of Surgery, Duke Medicine, Durham, North California
- Department of Pharmacology and Cancer Biology, Duke Medicine, Durham, North California
| | - Guangfang Wang
- Moores Cancer Center, University of California San Diego, San Diego, California
- Department of Surgery, University of California San Diego, San Diego, California
| | - Jacob P. Hoj
- Department of Pharmacology and Cancer Biology, Duke Medicine, Durham, North California
| | | | - Marie-Liesse Asselin-Labat
- Moores Cancer Center, University of California San Diego, San Diego, California
- Department of Surgery, University of California San Diego, San Diego, California
| | - Stephanie Ting
- Moores Cancer Center, University of California San Diego, San Diego, California
| | - William Kim
- Moores Cancer Center, University of California San Diego, San Diego, California
| | - Pablo Tamayo
- Moores Cancer Center, University of California San Diego, San Diego, California
| | - Ann Marie Pendergast
- Department of Pharmacology and Cancer Biology, Duke Medicine, Durham, North California
| | - Mark W. Onaitis
- Moores Cancer Center, University of California San Diego, San Diego, California
- Department of Surgery, University of California San Diego, San Diego, California
- Department of Surgery, Duke Medicine, Durham, North California
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38
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Chen S, Zhou Z, Li Y, Du Y, Chen G. Application of single-cell sequencing to the research of tumor microenvironment. Front Immunol 2023; 14:1285540. [PMID: 37965341 PMCID: PMC10641410 DOI: 10.3389/fimmu.2023.1285540] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 10/17/2023] [Indexed: 11/16/2023] Open
Abstract
Single-cell sequencing is a technique for detecting and analyzing genomes, transcriptomes, and epigenomes at the single-cell level, which can detect cellular heterogeneity lost in conventional sequencing hybrid samples, and it has revolutionized our understanding of the genetic heterogeneity and complexity of tumor progression. Moreover, the tumor microenvironment (TME) plays a crucial role in the formation, development and response to treatment of tumors. The application of single-cell sequencing has ushered in a new age for the TME analysis, revealing not only the blueprint of the pan-cancer immune microenvironment, but also the heterogeneity and differentiation routes of immune cells, as well as predicting tumor prognosis. Thus, the combination of single-cell sequencing and the TME analysis provides a unique opportunity to unravel the molecular mechanisms underlying tumor development and progression. In this review, we summarize the recent advances in single-cell sequencing and the TME analysis, highlighting their potential applications in cancer research and clinical translation.
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Affiliation(s)
| | | | | | | | - Guoan Chen
- Department of Human Cell Biology and Genetics, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, China
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Ma C, Yang C, Peng A, Sun T, Ji X, Mi J, Wei L, Shen S, Feng Q. Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment. Mol Cancer 2023; 22:170. [PMID: 37833788 PMCID: PMC10571470 DOI: 10.1186/s12943-023-01876-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population that plays a crucial role in remodeling the tumor microenvironment (TME). Here, through the integrated analysis of spatial and single-cell transcriptomics data across six common cancer types, we identified four distinct functional subgroups of CAFs and described their spatial distribution characteristics. Additionally, the analysis of single-cell RNA sequencing (scRNA-seq) data from three additional common cancer types and two newly generated scRNA-seq datasets of rare cancer types, namely epithelial-myoepithelial carcinoma (EMC) and mucoepidermoid carcinoma (MEC), expanded our understanding of CAF heterogeneity. Cell-cell interaction analysis conducted within the spatial context highlighted the pivotal roles of matrix CAFs (mCAFs) in tumor angiogenesis and inflammatory CAFs (iCAFs) in shaping the immunosuppressive microenvironment. In patients with breast cancer (BRCA) undergoing anti-PD-1 immunotherapy, iCAFs demonstrated heightened capacity in facilitating cancer cell proliferation, promoting epithelial-mesenchymal transition (EMT), and contributing to the establishment of an immunosuppressive microenvironment. Furthermore, a scoring system based on iCAFs showed a significant correlation with immune therapy response in melanoma patients. Lastly, we provided a web interface ( https://chenxisd.shinyapps.io/pancaf/ ) for the research community to investigate CAFs in the context of pan-cancer.
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Affiliation(s)
- Chenxi Ma
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Chengzhe Yang
- Department of Oral and Maxillofacial Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Institute of Stomatology, Shandong University, Jinan, Shandong, China
| | - Ai Peng
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Tianyong Sun
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Xiaoli Ji
- Department of Stomatology, Central Hospital Affiliated to Shandong First Medical University, No.105 Jiefang Road, Jinan, Shandong, China
| | - Jun Mi
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Li Wei
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Song Shen
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Qiang Feng
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China.
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
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Reed ER, Jankowski SA, Spinella AJ, Noonan V, Haddad R, Nomoto K, Matsui J, Bais MV, Varelas X, Kukuruzinska MA, Monti S. β-catenin/CBP activation of mTORC1 signaling promotes partial epithelial-mesenchymal states in head and neck cancer. Transl Res 2023; 260:46-60. [PMID: 37353110 PMCID: PMC10527608 DOI: 10.1016/j.trsl.2023.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 04/27/2023] [Accepted: 05/20/2023] [Indexed: 06/25/2023]
Abstract
Head and neck cancers, which include oral squamous cell carcinoma (OSCC) as a major subsite, exhibit cellular plasticity that includes features of an epithelial-mesenchymal transition (EMT), referred to as partial-EMT (p-EMT). To identify molecular mechanisms contributing to OSCC plasticity, we performed a multiphase analysis of single cell RNA sequencing (scRNAseq) data from human OSCC. This included a multiresolution characterization of cancer cell subgroups to identify pathways and cell states that are heterogeneously represented, followed by casual inference analysis to elucidate activating and inhibitory relationships between these pathways and cell states. This approach revealed signaling networks associated with hierarchical cell state transitions, which notably included an association between β-catenin-driven CREB-binding protein (CBP) activity and mTORC1 signaling. This network was associated with subpopulations of cancer cells that were enriched for markers of the p-EMT state and poor patient survival. Functional analyses revealed that β-catenin/CBP induced mTORC1 activity in part through the transcriptional regulation of a raptor-interacting protein, chaperonin containing TCP1 subunit 5 (CCT5). Inhibition of β-catenin-CBP activity through the use of the orally active small molecule, E7386, reduced the expression of CCT5 and mTORC1 activity in vitro, and inhibited p-EMT-associated markers and tumor development in a murine model of OSCC. Our study highlights the use of multiresolution network analyses of scRNAseq data to identify targetable signals for therapeutic benefit, thus defining an underappreciated association between β-catenin/CBP and mTORC1 signaling in head and neck cancer plasticity.
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Affiliation(s)
- Eric R Reed
- Data Intensive Studies Center, Tufts University, Medford, Massachusetts; Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts; Bioinformatics Program, Boston University, Boston, Massachusetts.
| | - Stacy A Jankowski
- Department of Translational Dental Medicine, Boston University School of Dental Medicine, Boston, Massachusetts; Molecular and Translational Medicine Program, Boston University School of Medicine, Boston, Massachusetts
| | - Anthony J Spinella
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts
| | - Vikki Noonan
- Division of Oral Pathology, Boston University School of Dental Medicine, Boston, Massachusetts
| | - Robert Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Junji Matsui
- Eisai Inc, 200 Metro Blvd, Nutley, NJ, 07110, USA
| | - Manish V Bais
- Department of Translational Dental Medicine, Boston University School of Dental Medicine, Boston, Massachusetts
| | - Xaralabos Varelas
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts.
| | - Maria A Kukuruzinska
- Department of Translational Dental Medicine, Boston University School of Dental Medicine, Boston, Massachusetts.
| | - Stefano Monti
- Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts; Bioinformatics Program, Boston University, Boston, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
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41
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Nakashiba T, Ogoh K, Iwano S, Sugiyama T, Mizuno-Iijima S, Nakashima K, Mizuno S, Sugiyama F, Yoshiki A, Miyawaki A, Abe K. Development of two mouse strains conditionally expressing bright luciferases with distinct emission spectra as new tools for in vivo imaging. Lab Anim (NY) 2023; 52:247-257. [PMID: 37679611 PMCID: PMC10533401 DOI: 10.1038/s41684-023-01238-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 08/01/2023] [Indexed: 09/09/2023]
Abstract
In vivo bioluminescence imaging (BLI) has been an invaluable noninvasive method to visualize molecular and cellular behaviors in laboratory animals. Bioluminescent reporter mice harboring luciferases for general use have been limited to a classical luciferase, Luc2, from Photinus pyralis, and have been extremely powerful for various in vivo studies. However, applicability of reporter mice for in vivo BLI could be further accelerated by increasing light intensity through the use of other luciferases and/or by improving the biodistribution of their substrates in the animal body. Here we created two Cre-dependent reporter mice incorporating luciferases oFluc derived from Pyrocoeli matsumurai and Akaluc, both of which had been reported previously to be brighter than Luc2 when using appropriate substrates; we then tested their bioluminescence in neural tissues and other organs in living mice. When expressed throughout the body, both luciferases emitted an intense yellow (oFluc) or far-red (Akaluc) light easily visible to the naked eye. oFluc and Akaluc were similarly bright in the pancreas for in vivo BLI; however, Akaluc was superior to oFluc for brain imaging, because its substrate, AkaLumine-HCl, was distributed to the brain more efficiently than the oFluc substrate, D-luciferin. We also demonstrated that the lights produced by oFluc and Akaluc were sufficiently spectrally distinct from each other for dual-color imaging in a single living mouse. Taken together, these novel bioluminescent reporter mice are an ideal source of cells with bright bioluminescence and may facilitate in vivo BLI of various tissues/organs for preclinical and biomedical research in combination with a wide variety of Cre-driver mice.
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Affiliation(s)
- Toshiaki Nakashiba
- Experimental Animal Division, RIKEN BioResource Research Center, Tsukuba, Japan.
| | - Katsunori Ogoh
- Corporate Research and Development Center, Olympus Corporation, Hachioji, Japan
| | - Satoshi Iwano
- Laboratory for Cell Function and Dynamics, RIKEN Center for Brain Science, Wako, Japan
- Institute for Tenure Track Promotion, University of Miyazaki, Miyazaki, Japan
| | - Takashi Sugiyama
- Corporate Research and Development Center, Olympus Corporation, Hachioji, Japan
- R&D Division, Evident Corporation, Hachioji, Japan
| | - Saori Mizuno-Iijima
- Experimental Animal Division, RIKEN BioResource Research Center, Tsukuba, Japan
| | - Kenichi Nakashima
- Gene Engineering Division, RIKEN BioResource Research Center, Tsukuba, Japan
| | - Seiya Mizuno
- Laboratory Animal Resource Center in Transborder Medical Research Center, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Fumihiro Sugiyama
- Laboratory Animal Resource Center in Transborder Medical Research Center, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Atsushi Yoshiki
- Experimental Animal Division, RIKEN BioResource Research Center, Tsukuba, Japan
| | - Atsushi Miyawaki
- Laboratory for Cell Function and Dynamics, RIKEN Center for Brain Science, Wako, Japan
| | - Kuniya Abe
- Technology and Development Team for Mammalian Genome Dynamics, RIKEN BioResource Research Center, Tsukuba, Japan
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Li Z, Zhuang X, Pan CH, Yan Y, Thummalapalli R, Hallin J, Torborg S, Singhal A, Chang JC, Manchado E, Dow LE, Yaeger R, Christensen JG, Lowe SW, Rudin CM, Joost S, Tammela T. Alveolar differentiation drives resistance to KRAS inhibition in lung adenocarcinoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560194. [PMID: 37808711 PMCID: PMC10557782 DOI: 10.1101/2023.09.29.560194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Lung adenocarcinoma (LUAD), commonly driven by KRAS mutations, is responsible for 7% of all cancer mortality. The first allele-specific KRAS inhibitors were recently approved in LUAD, but clinical benefit is limited by intrinsic and acquired resistance. LUAD predominantly arises from alveolar type 2 (AT2) cells, which function as facultative alveolar stem cells by self-renewing and replacing alveolar type 1 (AT1) cells. Using genetically engineered mouse models, patient-derived xenografts, and patient samples we found inhibition of KRAS promotes transition to a quiescent AT1-like cancer cell state in LUAD tumors. Similarly, suppressing Kras induced AT1 differentiation of wild-type AT2 cells upon lung injury. The AT1-like LUAD cells exhibited high growth and differentiation potential upon treatment cessation, whereas ablation of the AT1-like cells robustly improved treatment response to KRAS inhibitors. Our results uncover an unexpected role for KRAS in promoting intra-tumoral heterogeneity and suggest targeting alveolar differentiation may augment KRAS-targeted therapies in LUAD. Significance Treatment resistance limits response to KRAS inhibitors in LUAD patients. We find LUAD residual disease following KRAS targeting is composed of AT1-like cancer cells with the capacity to reignite tumorigenesis. Targeting the AT1-like cells augments responses to KRAS inhibition, elucidating a therapeutic strategy to overcome resistance to KRAS-targeted therapy.
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43
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Melocchi V, Cuttano R, Murgo E, Mazzoccoli G, Bianchi F. The circadian clock circuitry deconvolutes colorectal cancer and lung adenocarcinoma heterogeneity in a dynamic time-related framework. Cancer Gene Ther 2023; 30:1323-1329. [PMID: 37479798 DOI: 10.1038/s41417-023-00646-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 06/19/2023] [Accepted: 07/07/2023] [Indexed: 07/23/2023]
Abstract
Increasing evidence imputes cancer progression and resistance to therapy to intra-tumor molecular heterogeneity set off by cancer cell plasticity. Re-activation of developmental programs strictly linked to epithelial-to-mesenchymal transition and gaining of stem cells properties are crucial in this setting. Many biological processes involved in cancer onset and progression show rhythmic fluctuations driven by the circadian clock circuitry. Novel cancer patient stratification tools taking into account the temporal dimension of these biological processes are definitely needed. Lung cancer and colorectal cancer (CRC) are the leading causes of cancer death worldwide. Here, by developing an innovative computational approach we named Phase-Finder, we show that the molecular heterogeneity characterizing the two deadliest cancers, CRC and lung adenocarcinoma (LUAD), rather than a merely stochastic event is the readout of specific cancer molecular states which correlate with time-qualified patterns of gene expression. We performed time-course transcriptome analysis of CRC and LUAD cell lines and upon computing circadian genes expression-based correlation matrices we derived pseudo-time points to infer time-qualified patterns in the transcriptomic analysis of real-world data (RWD) from large cohorts of CRC and LUAD patients. Our temporal classification of CRC and LUAD cohorts was able to effectively render time-specific patterns in cancer phenotype switching determining dynamical distribution of molecular subtypes impacting patient prognosis.
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Affiliation(s)
- Valentina Melocchi
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini snc, 71013, San Giovanni Rotondo, FG, Italy
| | - Roberto Cuttano
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini snc, 71013, San Giovanni Rotondo, FG, Italy
| | - Emanuele Murgo
- Department of Medical Sciences, Division of Internal Medicine and Chronobiology Laboratory, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini snc, 71013, San Giovanni Rotondo, FG, Italy
| | - Gianluigi Mazzoccoli
- Department of Medical Sciences, Division of Internal Medicine and Chronobiology Laboratory, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini snc, 71013, San Giovanni Rotondo, FG, Italy.
| | - Fabrizio Bianchi
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini snc, 71013, San Giovanni Rotondo, FG, Italy.
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Ashouri A, Zhang C, Gaiti F. Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights. Genes (Basel) 2023; 14:1856. [PMID: 37895205 PMCID: PMC10606072 DOI: 10.3390/genes14101856] [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: 09/01/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution.
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Affiliation(s)
- Arghavan Ashouri
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Chufan Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Federico Gaiti
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
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45
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Wang Y, Liu B, Min Q, Yang X, Yan S, Ma Y, Li S, Fan J, Wang Y, Dong B, Teng H, Lin D, Zhan Q, Wu N. Spatial transcriptomics delineates molecular features and cellular plasticity in lung adenocarcinoma progression. Cell Discov 2023; 9:96. [PMID: 37723144 PMCID: PMC10507052 DOI: 10.1038/s41421-023-00591-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 07/27/2023] [Indexed: 09/20/2023] Open
Abstract
Indolent (lepidic) and aggressive (micropapillary, solid, and poorly differentiated acinar) histologic subtypes often coexist within a tumor tissue of lung adenocarcinoma (LUAD), but the molecular features associated with different subtypes and their transitions remain elusive. Here, we combine spatial transcriptomics and multiplex immunohistochemistry to elucidate molecular characteristics and cellular plasticity of distinct histologic subtypes of LUAD. We delineate transcriptional reprogramming and dynamic cell signaling that determine subtype progression, especially hypoxia-induced regulatory network. Different histologic subtypes exhibit heterogeneity in dedifferentiation states. Additionally, our results show that macrophages are the most abundant cell type in LUAD, and identify different tumor-associated macrophage subpopulations that are unique to each histologic subtype, which might contribute to an immunosuppressive microenvironment. Our results provide a systematic landscape of molecular profiles that drive LUAD subtype progression, and demonstrate potentially novel therapeutic strategies and targets for invasive lung adenocarcinoma.
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Affiliation(s)
- Yan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bing Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qingjie Min
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xin Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shi Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuanyuan Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shaolei Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jiawen Fan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bin Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital and Institute, Beijing, China
| | - Huajing Teng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Dongmei Lin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qimin Zhan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
- State Key Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
- Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China.
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China.
- International Cancer Institute, Peking University Health Science Center, Beijing, China.
- Soochow University Cancer institute, Suzhou, Jiangsu, China.
| | - Nan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China.
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46
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Wang G, Liu X, Liu H, Zhang X, Shao Y, Jia X. A novel necroptosis related gene signature and regulatory network for overall survival prediction in lung adenocarcinoma. Sci Rep 2023; 13:15345. [PMID: 37714937 PMCID: PMC10504370 DOI: 10.1038/s41598-023-41998-2] [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: 11/20/2022] [Accepted: 09/04/2023] [Indexed: 09/17/2023] Open
Abstract
We downloaded the mRNA expression profiles of patients with LUAD and corresponding clinical data from The Cancer Genome Atlas (TCGA) database and used the Least Absolute Shrinkage and Selection Operator Cox regression model to construct a multigene signature in the TCGA cohort, which was validated with patient data from the GEO cohort. Results showed differences in the expression levels of 120 necroptosis-related genes between normal and tumor tissues. An eight-gene signature (CYLD, FADD, H2AX, RBCK1, PPIA, PPID, VDAC1, and VDAC2) was constructed through univariate Cox regression, and patients were divided into two risk groups. The overall survival of patients in the high-risk group was significantly lower than of the patients in the low-risk group in the TCGA and GEO cohorts, indicating that the signature has a good predictive effect. The time-ROC curves revealed that the signature had a reliable predictive role in both the TCGA and GEO cohorts. Enrichment analysis showed that differential genes in the risk subgroups were associated with tumor immunity and antitumor drug sensitivity. We then constructed an mRNA-miRNA-lncRNA regulatory network, which identified lncRNA AL590666. 2/let-7c-5p/PPIA as a regulatory axis for LUAD. Real-time quantitative PCR (RT-qPCR) was used to validate the expression of the 8-gene signature. In conclusion, necroptosis-related genes are important factors for predicting the prognosis of LUAD and potential therapeutic targets.
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Affiliation(s)
- Guoyu Wang
- Department of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Xue Liu
- Department of Respiration, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Huaman Liu
- Department of General Medicine, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xinyue Zhang
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yumeng Shao
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xinhua Jia
- Department of Respiration, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
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47
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Jones TP, McGranahan N. Deciphering the landscape of transcriptional heterogeneity across cancer. Cancer Cell 2023; 41:1548-1550. [PMID: 37595585 DOI: 10.1016/j.ccell.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 08/20/2023]
Abstract
By integrating scRNA-seq datasets across 77 studies and 24 cancer types, in Nature, Gavish et al. uncover recurrent patterns of gene expression that explain a significant proportion of transcriptomic heterogeneity observed in cancer and explore their functional significance.
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Affiliation(s)
- Thomas P Jones
- Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Nicholas McGranahan
- Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
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48
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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.
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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
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49
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Ran X, Tong L, Chenghao W, Qi L, Bo P, Jiaying Z, Jun W, Linyou Z. Single-cell data analysis of malignant epithelial cell heterogeneity in lung adenocarcinoma for patient classification and prognosis prediction. Heliyon 2023; 9:e20164. [PMID: 37809682 PMCID: PMC10559937 DOI: 10.1016/j.heliyon.2023.e20164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 09/04/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023] Open
Abstract
Lung cancer is one of the leading causes of cancer-related death. Most advanced lung adenocarcinoma (LUAD) patients have poor survival because of drug resistance and relapse. Neglecting intratumoral heterogeneity might be one of the reasons for treatment insensitivity, while single-cell RNA sequencing (scRNA-seq) technologies can provide transcriptome information at the single-cell level. Herein, we combined scRNA-seq and bulk RNA-seq data of LUAD and identified a novel cluster of malignant epithelial cells - KRT81+ malignant epithelial cells - associated with worse prognoses. Further analysis revealed that the hypoxia and EMT pathways of these cells were activated to predispose them to differentiate into metastatic lung adenocarcinoma cells. Finally, we also studied the role of these tumor cells in the immune microenvironment and their role in the classification and prognosis prediction of lung adenocarcinoma patients.
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Affiliation(s)
- Xu Ran
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Second Clinical Medical College, Harbin Medical University, Harbin, China
| | - Lu Tong
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Second Clinical Medical College, Harbin Medical University, Harbin, China
| | - Wang Chenghao
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Second Clinical Medical College, Harbin Medical University, Harbin, China
| | - Li Qi
- Department of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China
| | - Peng Bo
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Second Clinical Medical College, Harbin Medical University, Harbin, China
| | - Zhao Jiaying
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- The Second Clinical Medical College, Harbin Medical University, Harbin, China
| | - Wang Jun
- Department of Thoracic Surgery, Baoji Central Hospital, Baoji, China
| | - Zhang Linyou
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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50
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Goyette MA, Lipsyc-Sharf M, Polyak K. Clinical and translational relevance of intratumor heterogeneity. Trends Cancer 2023; 9:726-737. [PMID: 37248149 PMCID: PMC10524913 DOI: 10.1016/j.trecan.2023.05.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/03/2023] [Accepted: 05/05/2023] [Indexed: 05/31/2023]
Abstract
Intratumor heterogeneity (ITH) is a driver of tumor evolution and a main cause of therapeutic resistance. Despite its importance, measures of ITH are still not incorporated into clinical practice. Consequently, standard treatment is frequently ineffective for patients with heterogeneous tumors as changes to treatment regimens are made only after recurrence and disease progression. More effective combination therapies require a mechanistic understanding of ITH and ways to assess it in clinical samples. The growth of technologies enabling the spatially intact analysis of tumors at the single-cell level and the development of sophisticated preclinical models give us hope that ITH will not simply be used as a predictor of a poor outcome but will guide treatment decisions from diagnosis through treatment.
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Affiliation(s)
- Marie-Anne Goyette
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Marla Lipsyc-Sharf
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
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