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Wang L, Zhu Y, Zhang N, Xian Y, Tang Y, Ye J, Reza F, He G, Wen X, Jiang X. The multiple roles of interferon regulatory factor family in health and disease. Signal Transduct Target Ther 2024; 9:282. [PMID: 39384770 PMCID: PMC11486635 DOI: 10.1038/s41392-024-01980-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/12/2024] [Accepted: 09/10/2024] [Indexed: 10/11/2024] Open
Abstract
Interferon Regulatory Factors (IRFs), a family of transcription factors, profoundly influence the immune system, impacting both physiological and pathological processes. This review explores the diverse functions of nine mammalian IRF members, each featuring conserved domains essential for interactions with other transcription factors and cofactors. These interactions allow IRFs to modulate a broad spectrum of physiological processes, encompassing host defense, immune response, and cell development. Conversely, their pivotal role in immune regulation implicates them in the pathophysiology of various diseases, such as infectious diseases, autoimmune disorders, metabolic diseases, and cancers. In this context, IRFs display a dichotomous nature, functioning as both tumor suppressors and promoters, contingent upon the specific disease milieu. Post-translational modifications of IRFs, including phosphorylation and ubiquitination, play a crucial role in modulating their function, stability, and activation. As prospective biomarkers and therapeutic targets, IRFs present promising opportunities for disease intervention. Further research is needed to elucidate the precise mechanisms governing IRF regulation, potentially pioneering innovative therapeutic strategies, particularly in cancer treatment, where the equilibrium of IRF activities is of paramount importance.
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Affiliation(s)
- Lian Wang
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Laboratory of Dermatology, Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yanghui Zhu
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Nan Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Yali Xian
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yu Tang
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jing Ye
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Fekrazad Reza
- Radiation Sciences Research Center, Laser Research Center in Medical Sciences, AJA University of Medical Sciences, Tehran, Iran
- International Network for Photo Medicine and Photo Dynamic Therapy (INPMPDT), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Gu He
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Laboratory of Dermatology, Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiang Wen
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Xian Jiang
- Department of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Laboratory of Dermatology, Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Buckenmeyer MJ, Brooks EA, Taylor MS, Yang L, Holewinski RJ, Meyer TJ, Galloux M, Garmendia-Cedillos M, Pohida TJ, Andresson T, Croix B, Wolf MT. Engineering Tumor Stroma Morphogenesis Using Dynamic Cell-Matrix Spheroid Assembly. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585805. [PMID: 38903106 PMCID: PMC11188064 DOI: 10.1101/2024.03.19.585805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
The tumor microenvironment consists of resident tumor cells organized within a compositionally diverse, three-dimensional (3D) extracellular matrix (ECM) network that cannot be replicated in vitro using bottom-up synthesis. We report a new self-assembly system to engineer ECM-rich 3D MatriSpheres wherein tumor cells actively organize and concentrate microgram quantities of decellularized ECM dispersions which modulate cell phenotype. 3D colorectal cancer (CRC) MatriSpheres were created using decellularized small intestine submucosa (SIS) as an orthotopic ECM source that had greater proteomic homology to CRC tumor ECM than traditional ECM formulations such as Matrigel. SIS ECM was rapidly concentrated from its environment and assembled into ECM-rich 3D stroma-like regions by mouse and human CRC cell lines within 4-5 days via a mechanism that was rheologically distinct from bulk hydrogel formation. Both ECM organization and transcriptional regulation by 3D ECM cues affected programs of malignancy, lipid metabolism, and immunoregulation that corresponded with an in vivo MC38 tumor cell subpopulation identified via single cell RNA sequencing. This 3D modeling approach stimulates tumor specific tissue morphogenesis that incorporates the complexities of both cancer cell and ECM compartments in a scalable, spontaneous assembly process that may further facilitate precision medicine.
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Affiliation(s)
- Michael J. Buckenmeyer
- Cancer Biomaterials Engineering Laboratory, Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
| | - Elizabeth A. Brooks
- Cancer Biomaterials Engineering Laboratory, Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
| | - Madison S. Taylor
- Cancer Biomaterials Engineering Laboratory, Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
| | - Liping Yang
- Tumor Angiogenesis Unit, Mouse Cancer Genetics Program, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
| | - Ronald J. Holewinski
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Thomas J. Meyer
- CCR Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Mélissa Galloux
- Independent Bioinformatician, Marseille, Provence-Alpes-Côte d’Azur, France
| | - Marcial Garmendia-Cedillos
- Instrumentation Development and Engineering Application Solutions, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Thomas J. Pohida
- Instrumentation Development and Engineering Application Solutions, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Thorkell Andresson
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Brad Croix
- Tumor Angiogenesis Unit, Mouse Cancer Genetics Program, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
| | - Matthew T. Wolf
- Cancer Biomaterials Engineering Laboratory, Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA
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Yan H, Sasaki T, Gon Y, Nishiyama K, Kanki H, Mochizuki H. Driver gene KRAS aggravates cancer-associated stroke outcomes. Thromb Res 2024; 233:55-68. [PMID: 38029547 DOI: 10.1016/j.thromres.2023.11.015] [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: 06/01/2023] [Revised: 11/04/2023] [Accepted: 11/14/2023] [Indexed: 12/01/2023]
Abstract
The incidence of cancer-associated stroke has increased with the prolonged survival times of cancer patients. Recent genetic studies have led to progress in cancer therapeutics, but relationships between oncogenic mutations and stroke remain elusive. Here, we focused on the driver gene KRAS, which is the predominant RAS isoform mutated in multiple cancer types, in cancer associated stroke study. KRASG13D/- and parental human colorectal carcinoma HCT116 cells were inoculated into mice that were then subjected to a photochemically-induced thrombosis model to establish ischemic stroke. We found that cancer inoculation exacerbated neurological deficits after stroke. Moreover, mice inoculated with KRASG13D/- cells showed worse neurological deficits after stroke compared with mice inoculated with parental cells. Stroke promoted tumor growth, and the KRASG13D/- allele enhanced this growth. Brain RNA sequencing analysis and serum ELISA showed that chemokines and cytokines mediating pro-inflammatory responses were upregulated in mice inoculated with KRASG13D/- cells compared with those inoculated with parental cells. STAT3 phosphorylation was promoted following ischemic stroke in the KRASG13D/- group compared with in the parental group, and STAT3 inhibition significantly ameliorated stroke outcomes by mitigating microglia/macrophage polarization. Finally, we compared the prognosis and mortality of colorectal cancer patients with or without stroke onset between 1 January 2007 and 31 December 2020 using a hospital-based cancer registry and found that colorectal cancer patients with stroke onset within 3 months after cancer diagnosis had a worse prognosis. Our work suggests an interplay between KRAS and ischemic stroke that may offer insight into future treatments for cancer-associated stroke.
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Affiliation(s)
- Haomin Yan
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan
| | - Tsutomu Sasaki
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan; Department of Neurotherapeutics, Graduate School of Medicine, Osaka University, Osaka, Japan.
| | - Yasufumi Gon
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan
| | - Kumiko Nishiyama
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan
| | - Hideaki Kanki
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan
| | - Hideki Mochizuki
- Department of Neurology, Graduate School of Medicine, Osaka University, Yamadaoka 2-2, Suita, Osaka 565-0871, Japan
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Dzhalilova D, Zolotova N, Fokichev N, Makarova O. Murine models of colorectal cancer: the azoxymethane (AOM)/dextran sulfate sodium (DSS) model of colitis-associated cancer. PeerJ 2023; 11:e16159. [PMID: 37927787 PMCID: PMC10624171 DOI: 10.7717/peerj.16159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/31/2023] [Indexed: 11/07/2023] Open
Abstract
Background Colorectal cancer (CRC) is the third most common cancer. It is a heterogeneous disease, including both hereditary and sporadic types of tumors. CRC results from complex interactions between various genetic and environmental factors. Inflammatory bowel disease is an important risk factor for developing CRC. Despite growing understanding of the CRC biology, preclinical models are still needed to investigate the etiology and pathogenesis of the disease, as well as to find new methods of treatment and prevention. Objectives The purpose of this review is to describe existing murine models of CRC with a focus on the models of colitis-associated CRC. This manuscript could be relevant for experimental biologists and oncologists. Methodology We checked PubMed and Google from 01/2018 to 05/2023 for reviews of CRC models. In addition, we searched PubMed from 01/2022 to 01/2023 for articles using the azoxymethane (AOM)/dextran sulfate sodium (DSS) CRC model. Results Existing murine models of CRC include spontaneous, genetically engineered, transplantation, and chemically induced models. For the study of colitis-associated cancer (CAC), the AOM/DSS model is predominantly used. This model is very similar in histological and molecular characteristics to the human CAC, and is highly reproducible, inexpensive, and easy to use. Despite its popularity, the AOM/DSS model is not standardized, which makes it difficult to analyze and compare data from different studies. Conclusions Each model demonstrates particular advantages and disadvantages, and allows to reproduce different subtypes or aspects of the pathogenesis of CRC.
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Affiliation(s)
- Dzhuliia Dzhalilova
- Avtsyn Research Institute of Human Morphology, Petrovsky National Research Centre of Surgery, Moscow, Russia
| | - Natalia Zolotova
- Avtsyn Research Institute of Human Morphology, Petrovsky National Research Centre of Surgery, Moscow, Russia
| | - Nikolai Fokichev
- Biological Department, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Olga Makarova
- Avtsyn Research Institute of Human Morphology, Petrovsky National Research Centre of Surgery, Moscow, Russia
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Elkrief A, Odintsov I, Markov V, Caeser R, Sobczuk P, Tischfield SE, Bhanot U, Vanderbilt CM, Cheng EH, Drilon A, Riely GJ, Lockwood WW, de Stanchina E, Tirunagaru VG, Doebele RC, Quintanal-Villalonga Á, Rudin CM, Somwar R, Ladanyi M. Combination Therapy With MDM2 and MEK Inhibitors Is Effective in Patient-Derived Models of Lung Adenocarcinoma With Concurrent Oncogenic Drivers and MDM2 Amplification. J Thorac Oncol 2023; 18:1165-1183. [PMID: 37182602 PMCID: PMC10524759 DOI: 10.1016/j.jtho.2023.05.007] [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: 03/14/2023] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 05/16/2023]
Abstract
INTRODUCTION Although targeted therapies have revolutionized the therapeutic landscape of lung adenocarcinomas (LUADs), disease progression on single-agent targeted therapy against known oncogenic drivers is common, and therapeutic options after disease progression are limited. In patients with MDM2 amplification (MDM2amp) and a concurrent oncogenic driver alteration, we hypothesized that targeting of the tumor-suppressor pathway (by means of restoration of p53 using MDM2 inhibition) and simultaneous targeting of co-occurring MAPK oncogenic pathway might represent a more durably effective therapeutic strategy. METHODS We evaluated genomic next-generation sequencing data using the Memorial Sloan Kettering Cancer Center-Integrated Mutation Profiling of Actionable Cancer Targets platform to nominate potential targets for combination therapy in LUAD. We investigated the small molecule MDM2 inhibitor milademetan in cell lines and patient-derived xenografts of LUAD with a known driver alteration and MDM2amp. RESULTS Of 10,587 patient samples from 7121 patients with LUAD profiled by next-generation sequencing, 6% (410 of 7121) harbored MDM2amp. MDM2amp was significantly enriched among tumors with driver alterations in METex14 (36%, p < 0.001), EGFR (8%, p < 0.001), RET (12%, p < 0.01), and ALK (10%, p < 0.01). The combination of milademetan and the MEK inhibitor trametinib was synergistic in growth inhibition of ECLC5-GLx (TRIM33-RET/MDM2amp), LUAD12c (METex14/KRASG12S/MDM2amp), SW1573 (KRASG12C, TP53 wild type), and A549 (KRASG12S) cells and in increasing expression of proapoptotic proteins PUMA and BIM. Treatment of ECLC5-GLx and LUAD12c with single-agent milademetan increased ERK phosphorylation, consistent with previous data on ERK activation with MDM2 inhibition. This ERK activation was effectively suppressed by concomitant administration of trametinib. In contrast, ERK phosphorylation induced by milademetan was not suppressed by concurrent RET inhibition using selpercatinib (in ECLC5-GLx) or MET inhibition using capmatinib (in LUAD12c). In vivo, combination milademetan and trametinib was more effective than either agent alone in ECLC5-GLx, LX-285 (EGFRex19del/MDM2amp), L13BS1 (METex14/MDM2amp), and A549 (KRASG12S, TP53 wild type). CONCLUSIONS Combined MDM2/MEK inhibition was found to have efficacy across multiple patient-derived LUAD models harboring MDM2amp and concurrent oncogenic drivers. This combination, potentially applicable to LUADs with a wide variety of oncogenic driver mutations and kinase fusions activating the MAPK pathway, has evident clinical implications and will be investigated as part of a planned phase 1/2 clinical trial.
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Affiliation(s)
- Arielle Elkrief
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Igor Odintsov
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Vladimir Markov
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Rebecca Caeser
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pawel Sobczuk
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sam E Tischfield
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Umesh Bhanot
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Chad M Vanderbilt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Emily H Cheng
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Gregory J Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Weill Cornell Medical College, New York, New York
| | - William W Lockwood
- Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | | | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Romel Somwar
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Sharma BR, Karki R, Rajesh Y, Kanneganti TD. Immune regulator IRF1 contributes to ZBP1-, AIM2-, RIPK1-, and NLRP12-PANoptosome activation and inflammatory cell death (PANoptosis). J Biol Chem 2023; 299:105141. [PMID: 37557956 PMCID: PMC10494469 DOI: 10.1016/j.jbc.2023.105141] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/28/2023] [Accepted: 07/30/2023] [Indexed: 08/11/2023] Open
Abstract
The innate immune system provides the first line of defense against pathogens and cellular insults and is activated by pattern recognition receptors sensing pathogen- or damage-associated molecular patterns. This activation can result in inflammation via cytokine release as well as the induction of lytic regulated cell death (RCD). Innate immune signaling can also induce the expression of interferon regulatory factor 1 (IRF1), an important molecule in regulating downstream inflammation and cell death. While IRF1 has been shown to modulate some RCD pathways, a comprehensive evaluation of its role in inflammatory cell death pathways is lacking. Here, we examined the role of IRF1 in cell death during inflammasome and PANoptosome activation using live cell imaging, Western blotting, and ELISA in primary murine macrophages. IRF1 contributed to the induction of ZBP1- (Z-DNA binding protein 1), AIM2- (absent in melanoma-2), RIPK1- (receptor interacting protein kinase 1), and NLRP12 (NOD-like receptor family, pyrin domain-containing 12)-PANoptosome activation and PANoptosis. Furthermore, IRF1 regulated the cell death under conditions where inflammasomes, along with caspase-8 and RIPK3, act as integral components of PANoptosomes to drive PANoptosis. However, it was dispensable for other inflammasomes that form independent of the PANoptosome to drive pyroptosis. Overall, these findings define IRF1 as an upstream regulator of PANoptosis and suggest that modulating the activation of molecules in the IRF1 pathway could be used as a strategy to treat inflammatory and infectious diseases associated with aberrant inflammatory cell death.
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Affiliation(s)
- Bhesh Raj Sharma
- Department of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Rajendra Karki
- Department of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Yetirajam Rajesh
- Department of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
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Luo Q, Huang S, Zhao L, Liu J, Ma Q, Wang Y, Dong Y, Li C, Qiu P. Chang qing formula ameliorates colitis-associated colorectal cancer via suppressing IL-17/NF-κB/STAT3 pathway in mice as revealed by network pharmacology study. Front Pharmacol 2022; 13:893231. [PMID: 35991881 PMCID: PMC9382085 DOI: 10.3389/fphar.2022.893231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/04/2022] [Indexed: 12/24/2022] Open
Abstract
Colitis-associated colorectal cancer (CAC) is a specific type of colorectal cancer (CRC) with high mortality and morbidity, the chronic inflammation in the intestinal mucosal is the characteristic of CAC. Chang Qing formula (CQF) is a Chinese herbal formula used clinically for the treatment of CAC with remarkable clinical efficacy, but its mechanism remains unclear. In the present work, Combined network pharmacology and transcriptomics were used to analyze the potential active ingredients and elucidate molecular mechanism of CQF in treating CAC. Firstly, the constituents migrating to blood of CQF were analyzed and identified by UPLC-Q-TOF-MS/MS, and core genes and pathways were screened by network pharmacology analysis. Encyclopedia of Genes and Genomes (KEGG) analysis showed that the IL-17 signaling pathway involved in CAC may be closely associated with the potential mechanismof action of CQF. Subsequently, the results from animal studies indicated that CQF profoundly reduced tumor numbers and tumor size in AOM/DSS mice. The RNA-seq data was analysed utilizing Ingenuity Pathway Analysis (IPA), and the results supported the idea that CQF exerts a tumour-suppressive effect via the IL-17 signalling pathway. Further studies demonstrated that CQF significantly reduced IL-17A levels, which in turn inhibited NF-κB/IL-6/STAT3 signaling cascade, suppressed MMP9 expression and promoted tumor cell apoptosis. In conclusion, the current study demonstrated that CQF remarkably improved inflammatory tumor microenvironment, and hindered the transformation of inflammation into cancer. These findings may help to design future strategies for the treatment of CAC.
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Affiliation(s)
- Qihan Luo
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shuo Huang
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Lisha Zhao
- Analytical Testing Center, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, China
| | - Jingqun Liu
- School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qing Ma
- First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yiheng Wang
- First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yu Dong
- Analytical Testing Center, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, China
- *Correspondence: Yu Dong, ; Changyu Li, ; Ping Qiu,
| | - Changyu Li
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: Yu Dong, ; Changyu Li, ; Ping Qiu,
| | - Ping Qiu
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: Yu Dong, ; Changyu Li, ; Ping Qiu,
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