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Duan X, Ye D, Yuan J, Guan B, Guan W, Liu S, Fang J, Shi J, Zhu Y, Li Q, Lu Q, Xu G. COL5A1 overexpression correlates with poor prognosis in human cervical cancer. Int J Biol Markers 2024:3936155241265976. [PMID: 39043220 DOI: 10.1177/03936155241265976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
BACKGROUND Cervical cancer is the most prevalent malignant tumor in women. This study aims to detect collagen type V α1 chain (COL5A1) expression and its clinical relevance in the prognosis of patients with cervical cancer. METHODS Cervical cancer tissues and their paired adjacent normal tissues were prepared for tissue microarray. The expression of COL5A1 protein and the scores of the expression were evaluated by immunohistochemistry (IHC) staining. The prognostic value of COL5A1 was analyzed by R software version 4.2.1 with "survival, survminer, ggplot2" packages and Gene Expression Profiling Interactive Analysis (GEPIA). The cBioPortal database was utilized for the analysis of COL5A1 gene mutations. RESULTS COL5A1 protein was overexpressed in human cervical cancer tissues compared to their paired adjacent normal tissues detected by IHC (P < 0.001). High expression of COL5A1 tends to be in elderly patients with cervical cancer. Survival analyses of clinical data of patients with cervical cancer showed that a high level of COL5A1 expression was significantly correlated with shorter overall survival (P = 0.031) and disease-free survival (P = 0.042) of patients. Further analyses of The Cancer Genome Atlas-Cervical Squamous Cell Carcinoma and the GEPIA survival datasets confirmed the association of high COL5A1 expression with poor overall survival of patients (P = 0.040 and P = 0.018, respectively). The analysis of genomic alterations of COL5A1 using the cBioPortal tool revealed that the COL5A1 gene was altered in 4% of cervical cancer patients and COL5A1 corresponding protein alterations with post-translational modifications were hydroxylation. CONCLUSION COL5A1 is a tissue biomarker correlated with the poor prognosis of patients with cervical cancer, which may lead to a new clinical application.
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Affiliation(s)
- Xiaoling Duan
- Department of Obstetrics and Gynaecology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Danjuan Ye
- Department of Obstetrics and Gynaecology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Jia Yuan
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bin Guan
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wencai Guan
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
| | - Songping Liu
- Department of Obstetrics and Gynaecology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Jingyi Fang
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jimin Shi
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yan Zhu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
| | - Qinmei Li
- Department of Obstetrics and Gynaecology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Qi Lu
- Department of Obstetrics and Gynaecology, Jinshan Hospital, Fudan University, Shanghai, China
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guoxiong Xu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Yuan R, Bai Y, Du H. Screening of key modules and key genes in the prevention of skin cancer development based on gene volcano plot and WGCNA. Skin Res Technol 2024; 30:e13873. [PMID: 39073152 DOI: 10.1111/srt.13873] [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: 05/09/2024] [Accepted: 07/04/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Skin cancer, a prevalent form of cancer that is on the rise worldwide, requires proactive prevention strategies to reduce the burden of screening, treatment, and mortality. The KEGG research highlighted the significant involvement of red module genes in protein digestion and absorption. These findings provide valuable insights into the underlying molecular mechanisms associated with skin cancer susceptibility, offering potential targets for further research and development of preventive strategies. MATERIALS AND METHODS Hub genes numbered 130. "limma" in R found 600 DEGs from GSE66359 dataset. DEGs are enriched in BP: chromosome segregation, CC: chromosomal region, and MF: DNA replication origin binding, according to GO analysis. Cell cycle was enriched in DEGs by KEGG and GSEA. Finally, significant genes were COL5A1, CTHRC1, ECM1, FSTL1, KDELR3, and WIPI1. RESULTS ECM1 and WIPI1 greatly prevented skin cancer. This study created a coexpression network using WGCNA to investigate skin cancer susceptibility modules and cardiovascular disease genes. CONCLUSION Our study finds a module and many important genes that are essential building blocks in the etiology of skin cancer, which may help us understand the molecular mechanisms of disease prevention.
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Affiliation(s)
- Rui Yuan
- Department of Dermatology, The People's Hospital of Yubei District of Chongqing, Chongqing, China
| | - Yaqiong Bai
- Department of Dermatology, The People's Hospital of Yubei District of Chongqing, Chongqing, China
| | - Hanghang Du
- Chongqing Meilun Meihuan Plastic Surgery Hospital, Chongqing, China
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Estephan LE, Kumar G, Stewart M, Banoub R, Linnenbach A, Harshyne LA, Martinez-Outschoorn UE, Mahoney MG, Curry JM, Johnson J, South AP, Luginbuhl AJ. Altered extracellular matrix correlates with an immunosuppressive tumor microenvironment and disease progression in younger adults with oral cavity squamous cell carcinoma. Front Oncol 2024; 14:1412212. [PMID: 38957320 PMCID: PMC11217481 DOI: 10.3389/fonc.2024.1412212] [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: 04/04/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024] Open
Abstract
Introduction Oral cavity squamous cell carcinoma (OSCC) occurs most frequently in patients >60 years old with a history of tobacco and alcohol use. Epidemiological studies describe increased incidence of OSCC in younger adults (<45 years). Despite its poor prognosis, knowledge of OSCC tumor microenvironment (TME) characteristics in younger adults is scarce and could help inform possible resistance to emerging treatment options. Methods Patients with OSCC were evaluated using TCGA-HNSC (n=121) and a stage and subsite-matched institutional cohort (n=8) to identify differential gene expression focusing on the extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) processes in younger (≤45 years) vs. older adults (≥60 years). NanoString nCounter analysis was performed using isolated total RNA from formalin-fixed paraffin-embedded (FFPE) tumor samples. Stained tumor slides from young and old OSCC patients were evaluated for CD8+ T-cell counts using immunohistochemistry. Results Younger OSCC patients demonstrated significantly increased expression of ECM remodeling and EMT process genes, as well as TME immunosuppression. Gene set enrichment analyses demonstrated increased ECM pathways and concurrent decreased immune pathways in young relative to old patients. Transcripts per million of genetic markers involved in ECM remodeling including LAMB3, VCAN, S100A9, COL5A1, and ITGB2 were significantly increased in tumors of younger vs. older patients (adjusted p-value < 0.10). Young patient TMEs demonstrated a 2.5-fold reduction in CD8+ T-cells as compared to older patients (p < 0.05). Conclusion Differential gene expression impacting ECM remodeling and TME immunosuppression may contribute to disease progression in younger adult OSCC and has implications on response to evolving treatment modalities, such as immune checkpoint inhibitor therapy.
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Affiliation(s)
- Leonard E. Estephan
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Gaurav Kumar
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Matthew Stewart
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Raphael Banoub
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Alban Linnenbach
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Larry A. Harshyne
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Medical Oncology, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Ubaldo E. Martinez-Outschoorn
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Medical Oncology, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - My G. Mahoney
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Joseph M. Curry
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Jennifer Johnson
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Medical Oncology, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Andrew P. South
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Adam J. Luginbuhl
- Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
- Sidney Kimmel Cancer Center, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
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Jia W, Li N, Wang J, Gong X, Ouedraogo SY, Wang Y, Zhao J, Grech G, Chen L, Zhan X. Immune-related gene methylation prognostic instrument for stratification and targeted treatment of ovarian cancer patients toward advanced 3PM approach. EPMA J 2024; 15:375-404. [PMID: 38841623 PMCID: PMC11148001 DOI: 10.1007/s13167-024-00359-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 04/07/2024] [Indexed: 06/07/2024]
Abstract
Background DNA methylation is an important mechanism in epigenetics, which can change the transcription ability of genes and is closely related to the pathogenesis of ovarian cancer (OC). We hypothesize that DNA methylation is significantly different in OCs compared to controls. Specific DNA methylation status can be used as a biomarker of OC, and targeted drugs targeting these methylation patterns and DNA methyltransferase may have better therapeutic effects. Studying the key DNA methylation sites of immune-related genes (IRGs) in OC patients and studying the effects of these methylation sites on the immune microenvironment may provide a new method for further exploring the pathogenesis of OC, realizing early detection and effective monitoring of OC, identifying effective biomarkers of DNA methylation subtypes and drug targets, improving the efficacy of targeted drugs or overcoming drug resistance, and better applying it to predictive diagnosis, prevention, and personalized medicine (PPPM; 3PM) of OC. Method Hypermethylated subtypes (cluster 1) and hypomethylated subtypes (cluster 2) were established in OCs based on the abundance of different methylation sites in IRGs. The differences in immune score, immune checkpoints, immune cells, and overall survival were analyzed between different methylation subtypes in OC samples. The significant pathways, gene ontology (GO), and protein-protein interaction (PPI) network of the identified methylation sites in IRGs were enriched. In addition, the immune-related methylation signature was constructed with multiple regression analysis. A methylation site model based on IRGs was constructed and verified. Results A total of 120 IRGs with 142 differentially methylated sites (DMSs) were identified. The DMSs were clustered into a high-level methylation group (cluster 1) and a low-level methylation group (cluster 2). The significant pathways and GO analysis showed many immune-related and cancer-associated enrichments. A methylation site signature based on IRGs was constructed, including RORC|cg25112191, S100A13|cg14467840, TNF|cg04425624, RLN2|cg03679581, and IL1RL2|cg22797169. The methylation sites of all five genes showed hypomethylation in OC, and there were statistically significant differences among RORC|cg25112191, S100A13|cg14467840, and TNF|cg04425624 (p < 0.05). This prognostic model based on low-level methylation and high-level methylation groups was significantly linked to the immune microenvironment as well as overall survival in OC. Conclusions This study provided different methylation subtypes for OC patients according to the methylation sites of IRGs. In addition, it helps establish a relationship between methylation and the immune microenvironment, which showed specific differences in biological signaling pathways, genomic changes, and immune mechanisms within the two subgroups. These data provide ones to deeply understand the mechanism of immune-related methylation genes on the occurrence and development of OC. The methylation-site signature is also to establish new possibilities for OC therapy. These data are a precious resource for stratification and targeted treatment of OC patients toward an advanced 3PM approach. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-024-00359-3.
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Affiliation(s)
- Wenshuang Jia
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Na Li
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Jingjing Wang
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Xiaoxia Gong
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Serge Yannick Ouedraogo
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Yan Wang
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
- Department of Gynecological Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117 People’s Republic of China
| | - Junkai Zhao
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
| | - Godfrey Grech
- Department of Pathology, University of Malta, Msida, Malta
| | - Liang Chen
- Department of Gynecological Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117 People’s Republic of China
| | - Xianquan Zhan
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, 440 Jiyan Road, Jinan, Shandong 250117 People’s Republic of China
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5
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Chen X, Ma C, Li Y, Liang Y, Chen T, Han D, Luo D, Zhang N, Zhao W, Wang L, Yang Q. COL5A1 promotes triple-negative breast cancer progression by activating tumor cell-macrophage crosstalk. Oncogene 2024; 43:1742-1756. [PMID: 38609499 DOI: 10.1038/s41388-024-03030-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/06/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Triple-negative breast cancer (TNBC) is an exceptionally aggressive subtype of breast cancer. Despite the recognized interplay between tumors and tumor-associated macrophages in fostering drug resistance and disease progression, the precise mechanisms leading these interactions remain elusive. Our study revealed that the upregulation of collagen type V alpha 1 (COL5A1) in TNBC tissues, particularly in chemoresistant samples, was closely linked to an unfavorable prognosis. Functional assays unequivocally demonstrated that COL5A1 played a pivotal role in fueling cancer growth, metastasis, and resistance to doxorubicin, both in vitro and in vivo. Furthermore, we found that the cytokine IL-6, produced by COL5A1-overexpressing TNBC cells actively promoted M2 macrophage polarization. In turn, TGFβ from M2 macrophages drived TNBC doxorubicin resistance through the TGFβ/Smad3/COL5A1 signaling pathway, establishing a feedback loop between TNBC cells and macrophages. Mechanistically, COL5A1 interacted with TGM2, inhibiting its K48-linked ubiquitination-mediated degradation, thereby enhancing chemoresistance and increasing IL-6 secretion. In summary, our findings underscored the significant contribution of COL5A1 upregulation to TNBC progression and chemoresistance, highlighting its potential as a diagnostic and therapeutic biomarker for TNBC.
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Affiliation(s)
- Xi Chen
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Chenao Ma
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yaming Li
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yiran Liang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Tong Chen
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Dianwen Han
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Dan Luo
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ning Zhang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Wenjing Zhao
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Lijuan Wang
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Qifeng Yang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
- Research Institute of Breast Cancer, Shandong University, Jinan, 250012, Shandong, China.
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6
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Kazakova AN, Lukina MM, Anufrieva KS, Bekbaeva IV, Ivanova OM, Shnaider PV, Slonov A, Arapidi GP, Shender VO. Exploring the diversity of cancer-associated fibroblasts: insights into mechanisms of drug resistance. Front Cell Dev Biol 2024; 12:1403122. [PMID: 38818409 PMCID: PMC11137237 DOI: 10.3389/fcell.2024.1403122] [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: 03/18/2024] [Accepted: 04/22/2024] [Indexed: 06/01/2024] Open
Abstract
Introduction: Among the various stromal cell types within the tumor microenvironment, cancer-associated fibroblasts (CAFs) emerge as the predominant constituent, exhibiting a diverse array of oncogenic functions not intrinsic to normal fibroblasts. Their involvement spans across all stages of tumorigenesis, encompassing initiation, progression, and metastasis. Current understanding posits the coexistence of distinct subpopulations of CAFs within the tumor microenvironment across a spectrum of solid tumors, showcasing both pro- and antitumor activities. Recent advancements in single-cell transcriptomics have revolutionized our ability to meticulously dissect the heterogeneity inherent to CAF populations. Furthermore, accumulating evidence underscores the pivotal role of CAFs in conferring therapeutic resistance to tumors against various drug modalities. Consequently, efforts are underway to develop pharmacological agents specifically targeting CAFs. Methods: This review embarks on a comprehensive analysis, consolidating data from 36 independent single-cell RNA sequencing investigations spanning 17 distinct human malignant tumor types. Results: Our exploration centers on elucidating CAF population markers, discerning their prognostic relevance, delineating their functional contributions, and elucidating the underlying mechanisms orchestrating chemoresistance. Discussion: Finally, we deliberate on the therapeutic potential of harnessing CAFs as promising targets for intervention strategies in clinical oncology.
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Affiliation(s)
- Anastasia N. Kazakova
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Maria M. Lukina
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ksenia S. Anufrieva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Irina V. Bekbaeva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
| | - Olga M. Ivanova
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Institute for Regenerative Medicine, Sechenov University, Moscow, Russia
| | - Polina V. Shnaider
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Andrey Slonov
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Georgij P. Arapidi
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
| | - Victoria O. Shender
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
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Ashrafizadeh M, Dai J, Torabian P, Nabavi N, Aref AR, Aljabali AAA, Tambuwala M, Zhu M. Circular RNAs in EMT-driven metastasis regulation: modulation of cancer cell plasticity, tumorigenesis and therapy resistance. Cell Mol Life Sci 2024; 81:214. [PMID: 38733529 PMCID: PMC11088560 DOI: 10.1007/s00018-024-05236-w] [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: 12/05/2023] [Revised: 03/05/2024] [Accepted: 04/03/2024] [Indexed: 05/13/2024]
Abstract
The non-coding RNAs comprise a large part of human genome lack of capacity in encoding functional proteins. Among various members of non-coding RNAs, the circular RNAs (circRNAs) have been of importance in the pathogenesis of human diseases, especially cancer. The circRNAs have a unique closed loop structure and due to their stability, they are potential diagnostic and prognostic factors in cancer. The increasing evidences have highlighted the role of circRNAs in the modulation of proliferation and metastasis of cancer cells. On the other hand, metastasis has been responsible for up to 90% of cancer-related deaths in patients, requiring more investigation regarding the underlying mechanisms modulating this mechanism. EMT enhances metastasis and invasion of tumor cells, and can trigger resistance to therapy. The cells demonstrate dynamic changes during EMT including transformation from epithelial phenotype into mesenchymal phenotype and increase in N-cadherin and vimentin levels. The process of EMT is reversible and its reprogramming can disrupt the progression of tumor cells. The aim of current review is to understanding the interaction of circRNAs and EMT in human cancers and such interaction is beyond the regulation of cancer metastasis and can affect the response of tumor cells to chemotherapy and radiotherapy. The onco-suppressor circRNAs inhibit EMT, while the tumor-promoting circRNAs mediate EMT for acceleration of carcinogenesis. Moreover, the EMT-inducing transcription factors can be controlled by circRNAs in different human tumors.
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Affiliation(s)
- Milad Ashrafizadeh
- Department of Radiation Oncology, Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong 250000, China
- Department of General Surgery and Integrated Chinese and Western Medicine, Institute of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518060, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jingyuan Dai
- School of computer science and information systems, Northwest Missouri State University, Maryville, MO, 64468, USA.
| | - Pedram Torabian
- Cumming School of Medicine, Arnie Charbonneau Cancer Research Institute, University of Calgary, Calgary, AB, T2N 4Z6, Canada
- Department of Medical Sciences, University of Calgary, Calgary, AB, T2N 4Z6, Canada
| | - Noushin Nabavi
- Department of Urologic Sciences and Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, V6H3Z6, Canada
| | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Translational Sciences, Xsphera Biosciences Inc. Boston, Boston, MA, USA
| | - Alaa A A Aljabali
- Faculty of Pharmacy, Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Irbid, Jordan
| | - Murtaza Tambuwala
- Lincoln Medical School, University of Lincoln, Brayford Pool Campus, Lincoln, LN6 7TS, UK.
- College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
| | - Minglin Zhu
- Department of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
- Hubei Provincial Engineering Research Center of Minimally Invasive Cardiovascular Surgery, Wuhan, Hubei, 430071, China.
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8
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Tian X, Gu L, Zeng F, Liu X, Zhou Y, Dou Y, Han J, Zhao Y, Zhang Y, Luo Q, Wang F. Strophanthidin Induces Apoptosis of Human Lung Adenocarcinoma Cells by Promoting TRAIL-DR5 Signaling. Molecules 2024; 29:877. [PMID: 38398629 PMCID: PMC10892344 DOI: 10.3390/molecules29040877] [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: 01/17/2024] [Revised: 02/08/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Strophanthidin (SPTD), one of the cardiac glycosides, is refined from traditional Chinese medicines such as Semen Lepidii and Antiaris toxicaria, and was initially used for the treatment of heart failure disease in clinic. Recently, SPTD has been shown to be a potential anticancer agent, but the underlying mechanism of action is poorly understood. Herein, we explored the molecular mechanism by which SPTD exerts anticancer effects in A549 human lung adenocarcinoma cells by means of mass spectrometry-based quantitative proteomics in combination with bioinformatics analysis. We revealed that SPTD promoted the expression of tumor necrosis factor (TNF)-related apoptosis-inducing ligand receptor 2 (TRAIL-R2, or DR5) in A549 cells to activate caspase 3/6/8, in particular caspase 3. Consequently, the activated caspases elevated the expression level of apoptotic chromatin condensation inducer in the nucleus (ACIN1) and prelamin-A/C (LMNA), ultimately inducing apoptosis via cooperation with the SPTD-induced overexpressed barrier-to-autointegration factor 1 (Banf1). Moreover, the SPTD-induced DEPs interacted with each other to downregulate the p38 MAPK/ERK signaling, contributing to the SPTD inhibition of the growth of A549 cells. Additionally, the downregulation of collagen COL1A5 by SPTD was another anticancer benefit of SPTD through the modulation of the cell microenvironment.
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Affiliation(s)
- Xiao Tian
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
| | - Liangzhen Gu
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fangang Zeng
- School of Environment of Natural Resources, Remin University of China, Beijing 100875, China;
| | - Xingkai Liu
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
| | - Yang Zhou
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Dou
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Juanjuan Han
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
| | - Yao Zhao
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyan Zhang
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
| | - Qun Luo
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fuyi Wang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, National Centre for Mass Spectrometry in Beijing, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; (L.G.); (X.L.); (Y.Z.); (Y.D.); (J.H.); (Y.Z.); (Y.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
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Chen X, Liao C, Zou X, Zhang B, Mo Z. A gene signature of cancer-associated fibroblasts predicts prognosis and treatment response in bladder cancer. Clin Transl Oncol 2024; 26:477-495. [PMID: 37594617 DOI: 10.1007/s12094-023-03270-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 06/25/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE Due to the pivotal role cancer-associated fibroblasts (CAFs) play in tumor progression, our study aimed to develop a signature of CAFs-related gene (CRG) to predict the survival outcomes and treatment response of bladder cancer (BLCA). METHODS The transcriptome data and relevant clinical information about BLCA were collected from publicly available databases, including The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Weighted gene co-expression network analysis was utilized to uncover CAFs-associated hub genes, and subsequently, a risk model for survival prognosis was constructed using LASSO-Cox regression. The immune microenvironment, immune infiltration, immunotherapy response, and drug sensitivity were explored using ESTIMATE, CIBERSORT, TIDE, and oncoPredict algorithms. To verify the expression of the CRGs, additional analyses were performed using online databases (HPA, CCLE, TIMER, cBioPortal, and TISCH). RESULTS Our study developed a CRG signature and constructed a prognostic model. Significant differences in overall survival were observed between the two risk stratifications. The risk score increased with the infiltration of CAFs and tumor staging progression, while closely correlating with immune checkpoint expression and infiltration of CD8 T cells, follicular helper T cells, regulatory T cells, activated dendritic cells, M0 macrophages, M2 macrophages, and resting mast cells. Furthermore, a higher proportion of patients in the low-risk stratification exhibited responsiveness to immunotherapy, and significant variances in sensitivity to multiple chemotherapy medications were observed between the two risk stratifications. CONCLUSION The construction of the risk model based on the CRG signature offers new avenues for the prognosis evaluation and development of personalized treatment strategies for BLCA.
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Affiliation(s)
- Xi Chen
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Chunyan Liao
- Department of Ultrasound Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Xiong Zou
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Bei Zhang
- Department of Ultrasound Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
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Zhang J, Li Y, Yang Y, Huang J, Sun Y, Zhang X, Kong X. A novel iTreg-related signature for prognostic prediction in lung adenocarcinoma. Cancer Sci 2024; 115:109-124. [PMID: 38015097 PMCID: PMC10823293 DOI: 10.1111/cas.16015] [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: 05/24/2023] [Revised: 10/09/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer. Most patients are diagnosed at an advanced stage, therefore it is crucial to identify novel prognostic biomarkers for LUAD. As important regulatory cells, inducible regulatory T cells (iTregs) play a vital role in immune suppression and are important for the maintenance of immune homeostasis. This study explored the prognostic value and therapeutic effects of iTreg-related genes in LUAD. Data for LUAD patients, including immune infiltration data, RNA sequencing data, and clinical features, were acquired from The Cancer Genome Atlas, Gene Expression Omnibus, and Tumor Immune Single-cell Hub 2 databases. Immune-related subgroups with different infiltration patterns and iTreg-related genes were identified through univariate and multivariate Cox regression analyses and weighted correlation network analysis. Functional enrichment analyses were performed to explore the underlying mechanisms of iTreg-related genes. A prognostic risk signature was constructed using Cox regression analysis with the least absolute shrinkage and selection operator penalty. The ESTIMATE algorithm was applied to determine the immune status of LUAD patients. We applied the constructed signature to predict chemosensitivity and performed single-cell RNA sequencing analysis. The infiltration of iTregs was identified as an independent factor for predicting patient outcomes. We constructed a prognostic signature based on seven iTreg-related genes (GIMAP5, SLA, MS4A7, ZNF366, POU2AF1, MRPL12, and COL5A1), which was applied to subdivide patients into high- and low-risk subgroups. Our results revealed that patients in the iTreg-related low-risk subgroup had a better prognosis and possibly greater sensitivity to traditional chemotherapy. Our study provides a novel iTreg-related signature to elucidate the mechanisms underlying LUAD prognosis and promote individualized chemotherapy treatment.
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Affiliation(s)
- Jian Zhang
- Department of Thoracic SurgeryHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Yan Li
- Department of Obstetrics and GynecologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yue Yang
- Institute of Cancer Prevention and Treatment, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Jian Huang
- The Fourth Department of Medical OncologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Yue Sun
- The Academic Department of Science and TechnologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Xi Zhang
- Department of AnaesthesiologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Xianglong Kong
- Department of Thoracic SurgeryHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
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11
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Zhang G, Ji P, Xia P, Song H, Guo Z, Hu X, Guo Y, Yuan X, Song Y, Shen R, Wang D. Identification and targeting of cancer-associated fibroblast signature genes for prognosis and therapy in Cutaneous melanoma. Comput Biol Med 2023; 167:107597. [PMID: 37875042 DOI: 10.1016/j.compbiomed.2023.107597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/15/2023] [Accepted: 10/17/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) play pivotal roles in tumor invasion and metastasis. However, studies on CAF biomarkers in Cutaneous Melanoma (CM) are still scarce. This study aimed to explore the potential CAF biomarkers in CM, propose the potential therapeutic targets, and provide new insights for targeted therapy of CAFs in CM. METHODS We utilized weighted gene co-expression network analysis to identify CAF signature genes in CM, and conducted comprehensive bioinformatics analysis on the CAF risk score established by these genes. Moreover, single-cell sequencing analysis, spatial transcriptome analysis, and cell experiments were utilized for verifying the expression and distribution pattern of signature genes. Furthermore, molecular docking was employed to screen potential target drugs. RESULTS FBLN1 and COL5A1, two crucial CAF signature genes, were screened to establish the CAF risk score. Subsequently, a comprehensive bioinformatic analysis of the CAF risk score revealed that high-risk score group was significantly enriched in pathways associated with tumor progression. Besides, CAF risk score was significantly negatively correlated with clinical prognosis, immunotherapy response, and tumor mutational burden in CM patients. In addition, FBLN1 and COL5A1 were further identified as CAF-specific biomarkers in CM by multi-omics analysis and experimental validation. Eventually, based on these two targets, Mifepristone and Dexamethasone were screened as potential anti-CAFs drugs. CONCLUSION The findings indicated that FBLN1 and COL5A1 were the CAF signature genes in CM, which were associated with the progression, treatment, and prognosis of CM. The comprehensive exploration of CAF signature genes is expected to provide new insight for clinical CM therapy.
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Affiliation(s)
- Guokun Zhang
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Pengfei Ji
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Peng Xia
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Haoyun Song
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Zhao Guo
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Xiaohui Hu
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Yanan Guo
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Xinyi Yuan
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Yanfeng Song
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Rong Shen
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China.
| | - Degui Wang
- School of Basic Medical Sciences, Lanzhou University, Gansu, 730000, China; NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu, 730000, China.
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12
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Zhang Q, An ZY, Jiang W, Jin WL, He XY. Collagen code in tumor microenvironment: Functions, molecular mechanisms, and therapeutic implications. Biomed Pharmacother 2023; 166:115390. [PMID: 37660648 DOI: 10.1016/j.biopha.2023.115390] [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: 07/05/2023] [Revised: 08/25/2023] [Accepted: 08/26/2023] [Indexed: 09/05/2023] Open
Abstract
The tumor microenvironment (TME) is crucial in cancer progression, and the extracellular matrix (ECM) is an important TME component. Collagen is a major ECM component that contributes to tumor cell infiltration, expansion, and distant metastasis during cancer progression. Recent studies reported that collagen is deposited in the TME to form a collagen wall along which tumor cells can infiltrate and prevent drugs from working on the tumor cells. Collagen-tumor cell interaction is complex and requires the activation of multiple signaling pathways for biochemical and mechanical signaling interventions. In this review, we examine the effect of collagen deposition in the TME on tumor progression and discuss the interaction between collagen and tumor cells. This review aims to illustrate the functions and mechanisms of collagen in tumor progression in the TME and its role in tumor therapy. The findings indicated collagen in the TME appears to be a better target for cancer therapy.
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Affiliation(s)
- Qian Zhang
- Department of General Surgery, The Affiliated Provincial Hospital of Anhui Medical University, Hefei 230001, PR China
| | - Zi-Yi An
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, PR China; Institute of Cancer Neuroscience, Medical Frontier Innovation Research Center, The First Hospital of Lanzhou University, Lanzhou 730000, PR China
| | - Wen Jiang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230001, PR China; Anhui Public Health Clinical Center, Hefei 230001, PR China
| | - Wei-Lin Jin
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, PR China; Institute of Cancer Neuroscience, Medical Frontier Innovation Research Center, The First Hospital of Lanzhou University, Lanzhou 730000, PR China.
| | - Xin-Yang He
- Department of General Surgery, The Affiliated Provincial Hospital of Anhui Medical University, Hefei 230001, PR China; Department of General Surgery, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001, PR China.
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Chen M, Zhu X, Zhang L, Zhao D. COL5A2 is a prognostic-related biomarker and correlated with immune infiltrates in gastric cancer based on transcriptomics and single-cell RNA sequencing. BMC Med Genomics 2023; 16:220. [PMID: 37723519 PMCID: PMC10506210 DOI: 10.1186/s12920-023-01659-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 09/09/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND There is still a therapeutic challenge in treating gastric cancer (GC) due to its high incidence and poor prognosis. Collagen type V alpha 2 (COL5A2) is increased in various cancers, yet it remains unclear how it contributes to the prognosis and immunity of GC. METHODS The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets were used to download transcriptome profiling (TCGA-STAD; GSE84437), single-cell RNA sequencing (scRNA-seq) data (GSE167297) and clinical information. COL5A2 expression and its relationship with clinicopathological factors were analyzed. We conducted survival analysis and Cox regression analysis to evaluate the prognosis and independent factors of GC. Co-expressed analysis was also performed. To identify the underlying mechanism, we conducted analyses of differentially expressed genes (DEGs) and functional enrichment. The correlations between COL5A2 expression and immune cell infiltration levels and immune infiltrate gene marker sets were further explored. Additionally, we analyzed the association of COL5A2 expression with immunological checkpoint molecules. Furthermore, the relationship between COL5A2 expression and immunotherapy sensitivity was also investigated. RESULTS COL5A2 expression was elevated in GC. More than this, the scRNA-seq analysis revealed that COL5A2 expression had a spatial gradient. The upregulated COL5A2 was associated with worse overall survival. A significant correlation was found between COL5A2 overexpression and age, T classification and clinical stage in GC. COL5A2 was found to be an independent factor for the unfortunate outcome in Cox regression analysis. The co-expressed genes of COL5A2 were associated with tumor stage or poor survival. Enrichment analysis revealed that the DEGs were mainly associated with extracellular matrix (ECM)-related processes, PI3K-AKT signaling pathway, and focal adhesion. GSEA analyses revealed that COL5A2 was associated with tumor progression-related pathways. Meanwhile, COL5A2 expression was correlated with tumor-infiltrating immune cells. Moreover, immunophenoscore (IPS) analysis and PRJEB25780 cohorts showed that patients with low COL5A2 expression were highly sensitive to immunotherapy. CONCLUSIONS COL5A2 might act as a prognostic biomarker of GC prognosis and immune infiltration and may provide a therapeutic intervention strategy.
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Affiliation(s)
- Meiru Chen
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 050000, China
- Department of Gastroenterology, Hengshui People's Hospital, Hengshui, Hebei Province, 053000, China
| | - Xinying Zhu
- Department of Gastroenterology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 050000, China
| | - Lixian Zhang
- Department of Gastroenterology, Hengshui People's Hospital, Hengshui, Hebei Province, 053000, China
| | - Dongqiang Zhao
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 050000, China.
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Yang Y, Xiao B, Feng X, Chen Y, Wang Q, Fang J, Zhou P, Wei X, Cheng L. Identification of hub genes and key signaling pathways by weighted gene co-expression network analysis for human aortic stenosis and insufficiency. Front Cardiovasc Med 2023; 10:857578. [PMID: 37621558 PMCID: PMC10445149 DOI: 10.3389/fcvm.2023.857578] [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: 01/18/2022] [Accepted: 07/26/2023] [Indexed: 08/26/2023] Open
Abstract
Background Human aortic valve stenosis (AS) and insufficiency (AI) are common diseases in aging population. Identifying the molecular regulatory networks of AS and AI is expected to offer novel perspectives for AS and AI treatment. Methods Highly correlated modules with the progression of AS and AI were identified by weighted genes co-expression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by the clusterProfiler program package. Differentially expressed genes (DEGs) were identified by the DESeqDataSetFromMatrix function of the DESeq2 program package. The protein-protein interaction (PPI) network analyses were implemented using the STRING online tool and visualized with Cytoscape software. The DEGs in AS and AI groups were overlapped with the top 30 genes with highest connectivity to screen out ten hub genes. The ten hub genes were verified by analyzing the data in high throughput RNA-sequencing dataset and real-time PCR assay using AS and AI aortic valve samples. Results By WGCNA algorithm, 302 highly correlated genes with the degree of AS, degree of AI, and heart failure were identified from highly correlated modules. GO analyses showed that highly correlated genes had close relationship with collagen fibril organization, extracellular matrix organization and extracellular structure organization. KEGG analyses also manifested that protein digestion and absorption, and glutathione metabolism were probably involved in AS and AI pathological courses. Moreover, DEGs were picked out for 302 highly correlated genes in AS and AI groups relative to the normal control group. The PPI network analyses indicated the connectivity among these highly correlated genes. Finally, ten hub genes (CD74, COL1A1, TXNRD1, CCND1, COL5A1, SERPINH1, BCL6, ITGA10, FOS, and JUNB) in AS and AI were found out and verified. Conclusion Our study may provide the underlying molecular targets for the mechanism research, diagnosis, and treatment of AS and AI in the future.
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Affiliation(s)
- Yang Yang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of OrganTransplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Bing Xiao
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Peking University, Beijing, China
| | - Xin Feng
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Chen
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qunhui Wang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Fang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Zhou
- Institute of OrganTransplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Xiang Wei
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Cheng
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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15
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Wang T, Li Y, Zhu Y, Liu Z, Huang L, Zhao H, Zhou Z, Wu Q. Anti-aging mechanism of different age donor-matched adipose-derived stem cells. Stem Cell Res Ther 2023; 14:192. [PMID: 37533129 PMCID: PMC10394785 DOI: 10.1186/s13287-023-03415-3] [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: 02/15/2023] [Accepted: 07/18/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND Adipose-derived stem cells (ASCs) have anti-aging and anti-obesity effects in aged animals, but the underlying molecular mechanism remains unknown. METHODS In the present study, we evaluated the in vivo transplantation effects of different age donor-matched ASCs on natural aging and leptin knockout mice (ob-/ob- mice). The multi-omics expression profiles of young and aged mouse donor-derived ASCs were also analyzed. RESULTS The results revealed that ASCs from young donors induced weight and abdominal fat loss for older recipients but not for young or ob-/ob-mice. The young and aged mouse donor ASCs displayed significant phenotypic differences, contributing to the distinguished weight loss and anti-aging effects in aged mice. CONCLUSIONS Our data suggest an underlying molecular mechanism by which young-donor ASCs reduce immune cells and inflammation in aged mice via secreted immune factors. These findings point to a general anti-aging mechanism of stem cells, which may provide new insights into age-related disturbances of stem cell plasticity in healthy aging and age-related diseases.
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Affiliation(s)
- Tao Wang
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Yingyu Li
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Yu Zhu
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Zebiao Liu
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Li Huang
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Hongxia Zhao
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014, Helsinki, Finland
| | - Zuping Zhou
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China
| | - Qiong Wu
- Guangxi Universities Key Laboratory of Stem Cell and Biopharmaceutical Technology, Research Center for Biomedical Sciences, School of Life Sciences, Guangxi Normal University, Guilin, 541004, China.
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Osorio-Conles Ó, Olbeyra R, Vidal J, Ibarzabal A, Balibrea JM, de Hollanda A. Expression of Adipose Tissue Extracellular Matrix-Related Genes Predicts Weight Loss after Bariatric Surgery. Cells 2023; 12:cells12091262. [PMID: 37174662 PMCID: PMC10177079 DOI: 10.3390/cells12091262] [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: 02/12/2023] [Revised: 04/12/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND We evaluated the association between white adipose tissue parameters before bariatric surgery (BS) and post-surgical weight loss, with an especial focus on extracellular matrix (ECM) gene expression. METHODS Paired samples from subcutaneous (SAT) and visceral adipose tissue (VAT) were obtained from 144 subjects undergoing BS. The association between total body weight loss (%TBWL) at 12 months after BS and the histological characteristics and gene expression of selected genes in SAT and VAT was analyzed. RESULTS Fat cell area, size-frequency distribution, and fibrosis in SAT or VAT prior to surgery were not associated with %TBWL. On the contrary, the SAT expression of COL5A1 and COL6A3 was associated with %TBWL after BS (both p < 0.001), even after adjusting for age, gender, baseline BMI, and type 2 diabetes status (T2D). Furthermore, in logistic regression analyses, the expression of these genes was significantly associated with insufficient WL (IWL = TBWL < 20%) after BS (respectively, p = 0.030 and p = 0.031). Indeed, in ROC analysis, the prediction of IWL based on sex, age, BMI, T2D, and the type of surgery (AUC = 0.71) was significantly improved with the addition of SAT-COL5A1 gene expression (AUC = 0.88, Z = 2.13, p = 0.032). CONCLUSIONS Our data suggest that the expression of SAT ECM-related genes may help explain the variability in TBWL following BS.
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Affiliation(s)
- Óscar Osorio-Conles
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos Ave. 3-5, 28029 Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló Street 149, 08036 Barcelona, Spain
| | - Romina Olbeyra
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló Street 149, 08036 Barcelona, Spain
| | - Josep Vidal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos Ave. 3-5, 28029 Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló Street 149, 08036 Barcelona, Spain
- Obesity Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel Street 170, 08036 Barcelona, Spain
| | - Ainitze Ibarzabal
- Gastrointestinal Surgery Department, Hospital Clínic de Barcelona, Villarroel Street 170, 08036 Barcelona, Spain
| | - José María Balibrea
- Gastrointestinal Surgery Department, Hospital Clínic de Barcelona, Villarroel Street 170, 08036 Barcelona, Spain
| | - Ana de Hollanda
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló Street 149, 08036 Barcelona, Spain
- Obesity Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel Street 170, 08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos Ave. 3-5, 28029 Madrid, Spain
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17
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Hashemi M, Zandieh MA, Talebi Y, Rahmanian P, Shafiee SS, Nejad MM, Babaei R, Sadi FH, Rajabi R, Abkenar ZO, Rezaei S, Ren J, Nabavi N, Khorrami R, Rashidi M, Hushmandi K, Entezari M, Taheriazam A. Paclitaxel and docetaxel resistance in prostate cancer: Molecular mechanisms and possible therapeutic strategies. Biomed Pharmacother 2023; 160:114392. [PMID: 36804123 DOI: 10.1016/j.biopha.2023.114392] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/24/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
Prostate cancer is among most malignant tumors around the world and this urological tumor can be developed as result of genomic mutations and their accumulation during progression towards advanced stage. Due to lack of specific symptoms in early stages of prostate cancer, most cancer patients are diagnosed in advanced stages that tumor cells display low response to chemotherapy. Furthermore, genomic mutations in prostate cancer enhance the aggressiveness of tumor cells. Docetaxel and paclitaxel are suggested as well-known compounds for chemotherapy of prostate tumor and they possess a similar function in cancer therapy that is based on inhibiting depolymerization of microtubules, impairing balance of microtubules and subsequent delay in cell cycle progression. The aim of current review is to highlight mechanisms of paclitaxel and docetaxel resistance in prostate cancer. When oncogenic factors such as CD133 display upregulation and PTEN as tumor-suppressor shows decrease in expression, malignancy of prostate tumor cells enhances and they can induce drug resistance. Furthermore, phytochemicals as anti-tumor compounds have been utilized in suppressing chemoresistance in prostate cancer. Naringenin and lovastatin are among the anti-tumor compounds that have been used for impairing progression of prostate tumor and enhancing drug sensitivity. Moreover, nanostructures such as polymeric micelles and nanobubbles have been utilized in delivery of anti-tumor compounds and decreasing risk of chemoresistance development. These subjects are highlighted in current review to provide new insight for reversing drug resistance in prostate cancer.
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Affiliation(s)
- Mehrdad Hashemi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Mohammad Arad Zandieh
- Department of Food Hygiene and Quality Control, Division of Epidemiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Yasmin Talebi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran
| | - Parham Rahmanian
- Faculty of Veterinary Medicine, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | - Sareh Sadat Shafiee
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran
| | - Melina Maghsodlou Nejad
- Faculty of Veterinary Medicine, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | - Roghayeh Babaei
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran
| | - Farzaneh Hasani Sadi
- General Practitioner, Kerman University of Medical Sciences, Kerman 7616913555, Iran
| | - Romina Rajabi
- Faculty of Veterinary Medicine, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | | | - Shamin Rezaei
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran
| | - Jun Ren
- Shanghai Institute of Cardiovascular Diseases, Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Noushin Nabavi
- Department of Urologic Sciences and Vancouver Prostate Centre, University of British Columbia, V6H3Z6 Vancouver, BC, Canada
| | - Ramin Khorrami
- Department of Food Hygiene and Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Mohsen Rashidi
- Department Pharmacology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran; The Health of Plant and Livestock Products Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
| | - Kiavash Hushmandi
- Department of Food Hygiene and Quality Control, Division of Epidemiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
| | - Maliheh Entezari
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
| | - Afshin Taheriazam
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran; Department of Orthopedics, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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18
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Salimian N, Peymani M, Ghaedi K, Mirzaei S, Hashemi M. Diagnostic and therapeutic potential of LINC01929 as an oncogenic LncRNA in human cancers. Pathol Res Pract 2023; 244:154409. [PMID: 36931128 DOI: 10.1016/j.prp.2023.154409] [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: 01/08/2023] [Revised: 02/21/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023]
Abstract
Recent findings have shown the significant role of long non-coding RNAs in the pathogenesis of various cancers. In this regard, the variation in the expression of LINC01929 was explored in various cancers to explore its impact on the development of diverse malignancies and cancers. The data of the cancer genome atlas (TCGA) were utilized to evaluate the changes in the expression of LINC01929 in various cancers, as well as its relationship with the patients' survival rate. The co-expression of the genes and data merging of TCGA were utilized to identify the LINC01929-associated pathways. The samples of colorectal, gastric, and breast cancers were also examined by the RT-qPCR to confirm the results and evaluate the expression of LINC01929 in the mentioned cancers. In silico investigations indicated a remarkable enhancement in the expression of LINC01929 within the tumor tissues compared to normal samples in 10 types of cancer. Based on the survival results, the increase in the LINC01929 expression is linked to poor prognosis of bladder, breast, colorectal, kidney, and liver cancers. The gene co-expression network showed the strong co-expression of LINC01929 with genes involved in the metastatic pathways including COL5A1. RT-qPCR findings showed a remarkable increment in the expression level of LINC01929 in the colorectal, gastric, and breast tumor tissues versus the adjacent normal tissues. A significant and strong relationship was also found between the expression of LINC01929 and COL5A1. This study indicated a significant enhancement in the expression level of LINC01929 in various cancer types, accompanied by the mortality rate. Moreover, LINC01929 exhibited a strong co-expression with the metastatic genes such as COL5A1. As an oncogene and regulator of the metastatic pathways, LINC01929 can be a proper candidate for diagnostic and therapeutic purposes.
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Affiliation(s)
- Niloufar Salimian
- Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
| | - Maryam Peymani
- Department of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
| | - Kamran Ghaedi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
| | - Sepideh Mirzaei
- Department of Biology, Faculty of Science, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | - Mehrdad Hashemi
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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19
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Dong C, Zhao Y, Yang S, Jiao X. LINC00173 blocks GATA6-mediated transcription of COL5A1 to affect malignant development of oral squamous cell carcinoma. J Oral Pathol Med 2023. [PMID: 36856154 DOI: 10.1111/jop.13425] [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: 01/06/2023] [Revised: 02/15/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023]
Abstract
BACKGROUND Aberrant expression of collagen type V alpha 1 chain (COL5A1) has been linked to several forms of human cancers. In this work, we focused on the interaction of the LINC00173/GATA binding protein 6 (GATA6)/COL5A1 axis in the malignant property of oral squamous cell carcinoma (OSCC) cells. METHODS We analyzed six publicly accessible datasets GSE160042, GSE74530, GSE138206, GSE23558, GSE31853 and GSE146483 to identify aberrantly expressed genes in OSCC. The expression of COL5A1 in OSCC tissues and cell lines was examined by reverse transcription-quantitative polymerase chain reaction and/or immunohistochemistry. The regulatory mechanism responsible for COL5A1 transcription was predicted via bioinformatics systems, and the interactions of LINC00173, GATA6, and COL5A1 were identified by immunoprecipitation and luciferase assays. Overexpression or downregulation of COL5A1, GATA6, and LINC00173 were induced in OSCC cell lines to determine their roles in the malignant phenotype of the OSCC cells in vitro and in vivo. RESULTS COL5A1 showed elevated expression in OSCC tissues and cells. The COLA51 knockdown suppressed proliferation, migration and invasiveness, apoptosis resistance, and pro-angiogenic ability of OSCC cells, and it suppressed the growth and dissemination of xenograft tumors in vivo. GATA6 bound to COL5A1 promoter to activate its transcription, whereas LINC00173 bound to GATA6 to block this transcriptional activation. Overexpression of GATA6 or COL5A1 promoted the malignant phenotype of the OSCC cells, which were blocked upon LINC00173 upregulation. CONCLUSION This work demonstrates that LINC00173 blocks GATA6-mediated transcription of COL5A1 to affect malignant development of OSCC.
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Affiliation(s)
- Chen Dong
- School of Stomatology, Harbin Medical University, Harbin, Heilongjiang, China.,Department of Maxillofacial Surgery, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, People's Republic of China
| | - Yanmei Zhao
- Department of Rehabilitation, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang, China
| | - Song Yang
- Department of Maxillofacial Surgery, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, People's Republic of China
| | - Xiaohui Jiao
- School of Stomatology, Harbin Medical University, Harbin, Heilongjiang, China
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20
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Lin Y, Zhang L, Zhang X, Wei X, Liu X, Xie Y, Han G. Identification of Potential Diagnostic and Prognostic Biomarkers for Gastric Cancer Based on Bioinformatic Analysis. J Environ Pathol Toxicol Oncol 2023; 42:61-68. [PMID: 37522568 DOI: 10.1615/jenvironpatholtoxicoloncol.2023047804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023] Open
Abstract
Gastric cancer (GC) ranks third for cancer-related fatalities worldwide. It is still unclear what causes GC to progress. Using integrated bioinformatics analysis, COL5A2 has been proved to be related to GC development, which may identify the likely pathogenic mechanism. Data from GC patients were gathered using The Cancer Gene Atlas (TCGA) and the gene expression omnibus (GEO). The level of COL5A2 expression was compared between paired GC and normal tissues. The differentially expressed genes (DEGs) in GC patients with high and low COL5A2 expression were identified using functional enrichment analysis to identify the signature pathways linked to the DEGs. The clinical pathologic traits connected to overall survival (OS) of GC patients were examined utilizing Cox regression and the Kaplan-Meier method. To assess the prognostic significance of COL5A2, receiver operating characteristic (ROC) curves was drawn. How the immune system infiltrate both normal gastric and GC tumor tissues was investigated. Using the human protein atlas (HPA) database, regression, and the Kaplan-Meier method, immunohistochemical analysis of DEG COL5A2 expression in GC tissues was carried out. The correlation between COL5A2 expression and the GC grouping was found to be highly significant. Functional annotations revealed that COL5A2 participates in extracellular matrix structure, collagen metabolism, and other biological processes (BPs). High COL5A2 expression was associated with poor prognostic and clinical features, such as clinical T, N, and M stages. ROC curves exhibited that COL5A2 might predict the occurrence of gastric cancer. The infiltration degree of 21 immune cell subsets, including activated dendritic cells (aDCs), CD8+ T cells, and cytotoxic cells, was found to be dramatically relevant to COL5A2. Immunohistochemical analysis indicated that the expression of COL5A2 in tumor tissues is higher than that in normal tissues. The COL5A2 gene may offer fresh perspectives on the pathogenic mechanism underlying GC, as well as potential biomarkers for estimating GC patient prognosis. As a result, COL5A2 may be a useful biomarker for predicting patient survival.
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Affiliation(s)
- Yecheng Lin
- First Department of Gastrointestinal Surgery, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Lei Zhang
- Department of Clinical Laboratory, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Xiaoling Zhang
- Department of Pathology, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Xiaonan Wei
- First Department of Gastrointestinal Surgery, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Xu Liu
- First Department of Gastrointestinal Surgery, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Yanchao Xie
- First Department of Gastrointestinal Surgery, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
| | - Guoda Han
- First Department of Gastrointestinal Surgery, Cangzhou Central Hospital, Cangzhou City, 061017, Hebei Province, China
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21
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Gong H, Wu W, Fang C, He D. CircBFAR correlates with poor prognosis and promotes laryngeal squamous cell cancer progression through miR-31-5p/COL5A1 axis. Laryngoscope Investig Otolaryngol 2022; 7:1951-1962. [PMID: 36544920 PMCID: PMC9764770 DOI: 10.1002/lio2.966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/27/2022] [Accepted: 07/21/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction Laryngeal squamous cell cancer (LSCC) is a highly malignant tumor originating from the respiratory system. Circular RNAs have been reported to be associated with the treatment and prognosis of a variety of cancers, including LSCC. Methods The expression of circBFAR, miR-31-5p, and collagen type V alpha 1 chain (COL5A1) in LSCC tissues and cells was detected by quantitative real-time polymerase chain reaction. Cell counting kit 8 and 5-Ethynyl-2'-deoxyuridine assays were used to detect cell proliferation. Wound healing assay and transwell assay were used to test cell migration and invasion, respectively. The protein expression in LSCC cells was detected with western blot. The relationships between miR-31-5p and circBFAR or COL5A1 were identified by dual-luciferase reporter assay, RNA-pull down assay, and immunoprecipitation assay. The effect of circBFAR on tumor growth in vivo was detected by tumor xenograft mice experiment. The protein expression of COL5A1 and KI-67 in LSCC tissues was measured by immunohistochemistry assay. Results CircBFAR was increased in LSCC tissues and cells, and was related to advanced clinical stage and overall survival of LSCC patients. The cell viability and proliferation were inhibited by circBFAR knockdown and silencing of circBFAR blocked migration and invasion of LSCC cells. CircBFAR knockdown suppressed cell tube formation, and the protein expression of KI-67, matrix metallopeptidase 2 (MMP2), and vascular endothelial growth factor A (VEGFA) in LSCC cells. MiR-31-5p was the target of circBFAR, and the inhibitory effects of circBFAR deficiency on viability, proliferation, migration, invasion, tube formation and the protein expression of KI-67, MMP2, and VEGFA in LSCC cells were rescued by miR-31-5p downregulation. COL5A1 was negatively regulated by miR-31-5p, and was boosted in LSCC tissues and cells. COL5A1 overexpression reversed the inhibitory effects of miR-31-5p on LSCC cells. CircBFAR insufficiency hindered tumor growth in vivo. Conclusion CircBFAR, miR-31-5p, and COL5A1 in LSCC progression might provide novel therapeutic targets for LSCC clinical intervention.
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Affiliation(s)
- Hengcui Gong
- Department of OtolaryngologyYibin Hospital of Traditional Chinese MedicineYibinSichuanChina
| | - Wei Wu
- Department of RadiotherapyGanZhou Cancer Hospital/The Affiliated Cancer Hospital of Gannan Medical UniversityGanZhouJiangxiChina
| | - Chuankai Fang
- Department of OphthalmologyTongxiang First people's HospitalTongxiangZhejiangChina
| | - Di He
- Department of OtorhinolaryngologyTongxiang First people's HospitalTongxiangZhejiangChina
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22
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Shi W, Ding W, Zhao Z, Wang R, Wang F, Tang Y, Zhu J, Su C, Zhao X, Liu L. Peroxidase is a novel potential marker in glioblastoma through bioinformatics method and experimental validation. Front Genet 2022; 13:990344. [PMID: 36118855 PMCID: PMC9471987 DOI: 10.3389/fgene.2022.990344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 08/05/2022] [Indexed: 01/19/2023] Open
Abstract
Peroxidase (PXDN), a specific extracellular matrix (ECM)-associated protein, has been determined as a tumor indicator and therapeutic target in various tumors. However, the effects of PXDN in prognostic performance and clinical implications in glioblastoma multiforme (GBM) remains unknown. Here, we assessed PXDN expression pattern and its performance on prognosis among GBM cases from TCGA and CGGA databases. PXDN was up-regulated within GBM samples in comparison with normal control. High PXDN expression was a dismal prognostic indicator in GBM. Single cell RNA analysis was conducted to detect the cell localization of PXDN. We also set up a PPI network to explore the interacting protein associated with PXDN, including TSKU, COL4A1 and COL5A1. Consistently, functional enrichment analysis revealed that several cancer hallmarks were enriched in the GBM cases with high PXDN expression, such as epithelial-mesenchymal transition (EMT), fatty acid metabolism, glycolysis, hypoxia, inflammatory response, and Wnt/beta-catenin signaling pathway. Next, this study analyzed the association of PXDN expression and immunocyte infiltration. PXDN expression was in direct proportion to the infiltrating degrees of NK cells resting, T cells regulatory, M0 macrophage, monocytes and eosinophils. The roles of PXDN on immunity were further estimated by PXDN-associated immunomodulators. In addition, four prognosis-related lncRNAs co-expressed with PXDN were identified. Finally, we observed that PXDN depletion inhibits GBM cell proliferation and migration by in vitro experiments. Our data suggested that PXDN has the potential to be a powerful prognostic biomarker, which might offer a basis for developing therapeutic targets for GBM.
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Affiliation(s)
- Weiwei Shi
- Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China
| | - Wenjie Ding
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Zixuan Zhao
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Rui Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Fengxu Wang
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
| | - Yanfen Tang
- Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China
| | - Jinfeng Zhu
- Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China
| | - Chengcheng Su
- Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China
| | - Xinyuan Zhao
- Department of Occupational Medicine and Environmental Toxicology, Nantong Key Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong, China
- *Correspondence: Lei Liu, , Xinyuan Zhao,
| | - Lei Liu
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Lei Liu, , Xinyuan Zhao,
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23
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Ding N, Luo H, Peng T, Zhang T, Li M, Deng Y, He Y. Bioinformatics analysis on differentially expressed genes between colorectal adenoma and colorectal adenocarcinoma. Scott Med J 2022; 67:178-188. [PMID: 36031809 DOI: 10.1177/00369330221122306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Colorectal adenoma (CRA) is the main cause of the progression of Colorectal adenocarcinoma (COAD). Therefore, it is very important to accurately reveal its developmental mechanism. METHODS Differential expression genes (DEGs) in three microarray datasets were screened using GEO and GEO2R. R packages were used for gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) path enrichment analysis. Hub genes screened by STRING, Cytoscape and CytoHubba were used. R was used for DEGs of hub genes, and Gene Expression Profiling Interactive Analysis (GEPIA2) database was used for prognostic Analysis. R-packet were used to analyze tumor pathology, tumour, lymph-nodes, and metastases (TNM) staging, enrichment, immune invasion and prognosis. RESULTS Among the 66 genes, including 36 up-regulated and 30 down-regulated genes. Survival analysis showed that COL1A1, COL5A2, COL5A1 and secreted protein acidic and rich in cysteine (SPARC) were associated with disease-free survival in patients. The four genes were related to tumor pathological stage, TNM stage and immune invasion. COL1A1 and COL5A2 were highly expressed in chromatin modification and cellular senescence. Low expression of COL5A1 and SPARC was significantly enriched in neutrophil degranulation and Wp VegfavegFR2 signaling pathways. CONCLUSIONS Obviously, these four key genes can serve as important targets for early diagnosis, treatment, immunity and prognosis of CRA to COAD.
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Affiliation(s)
- Ning Ding
- 118393Graduate School, Hunan University of Chinese Medicine, Changsha, P.R. China
| | - Hongbiao Luo
- Department of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha, P.R. China.,Department of Anorectal Surgery, 56696Chenzhou NO. 1 People's Hospital, Chenzhou, PR China
| | - Tianshu Peng
- Department of Anorectal Surgery, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, P.R. China
| | - Tao Zhang
- 118393Graduate School, Hunan University of Chinese Medicine, Changsha, P.R. China
| | - Menglei Li
- 118393Graduate School, Hunan University of Chinese Medicine, Changsha, P.R. China
| | - Yu Deng
- 118393Graduate School, Hunan University of Chinese Medicine, Changsha, P.R. China
| | - Yongheng He
- Department of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha, P.R. China
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24
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Wang C, Xu X, Zhang P, Xiong S, Yuan J, Gao X, Guan W, Wang F, Li X, Dou H, Xu G. Lipid-coated albumin-paclitaxel nanoparticles loaded with sorcin-siRNA reverse cancer chemoresistance via restoring intracellular calcium ion homeostasis. J Nanobiotechnology 2022; 20:319. [PMID: 35799174 PMCID: PMC9264675 DOI: 10.1186/s12951-022-01487-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/31/2022] [Indexed: 12/17/2022] Open
Abstract
Chemoresistance is often a cause of the failure of chemotherapy in cancer treatment. Sorcin (SRI) is a soluble resistance-related calcium-binding protein involved in chemoresistant processes and is overexpressed in many chemoresistant cancer cells, including paclitaxel (PTX)-resistant ovarian cancer. Increased SRI can reduce the concentration of calcium ions in the cytosol and mitochondria and the decrease of calcium ion concentration prevents the occurrence of apoptosis. Here we examined the SRI expression in multiple cancers using a human TissueArray and found that SRI expression was significantly higher in malignant tumor tissues. Furthermore, SRI was overexpressed, while intracellular calcium concentration was decreased, in chemoresistant cancer cells. To restore intracellular calcium homeostasis and overcome chemoresistance, we developed lipid-coated albumin-PTX nanoparticles loaded with SRI-siRNA (LANP-PTX-siSRI) for PTX and SRI-siRNA co-delivery. LANP-PTX-siSRI had dual-target roles in the regulation of SRI and the delivery of PTX into chemoresistant cells. The LANP-PTX-siSRI inhibited the expression of SRI and enhanced intracellular calcium, leading to the induction of apoptosis and the inhibition of the growth of PTX-resistant cancer cells in vitro and in vivo. In addition, the mechanism study revealed that the overexpression of SRI was associated with an impaired TGF-β signaling pathway. The administration of TGF-β1 inhibited two calcium-binding proteins SRI and S100A14. In conclusion, our data unveil that restoring intracellular calcium ion homeostasis via reducing SRI expression can reverse chemoresistance. Thus, the fabricated LANP-PTX-siSRI has a potentially therapeutical application.
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Affiliation(s)
- Chenglong Wang
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Xiaolin Xu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Peipei Zhang
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China
| | - Shuhan Xiong
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China
| | - Jia Yuan
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Xuzhu Gao
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Wencai Guan
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Fanchen Wang
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Xin Li
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China
| | - Hongjing Dou
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
| | - Guoxiong Xu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, 201508, People's Republic of China.
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The Hypoxia-Related Gene COL5A1 Is a Prognostic and Immunological Biomarker for Multiple Human Tumors. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:6419695. [PMID: 35082969 PMCID: PMC8786464 DOI: 10.1155/2022/6419695] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/15/2021] [Accepted: 12/14/2021] [Indexed: 01/19/2023]
Abstract
Background Collagen type V alpha 1 chain (COL5A1) is a hypoxia-related gene (a collagen family protein) and participates in the formation of the extracellular matrix. Although some evidence supports a significant role for COL5A1 in the progression of several cancers, a pan-cancer analysis of COL5A1 is not currently available. Herein, we aimed to assess the prognostic value of COL5A1 in 33 human cancers and to investigate its underlying immunological function. Methods Through multiple bioinformatics methods, we analyzed the data from Oncomine, TCGA, CCLE, HPA, DNMIVD, and cBioPortal database to explore the potential underlying carcinogenic effect of COL5A1, including the relevance of COL5A1 to the outcome, DNA methylation, tumor microenvironment, immune cells infiltration, and drug sensitivity in 33 human cancers. The effects of COL5A1 on glioma cell proliferation, migration, and invasion were verified in cellular experiments. Results Our findings indicated that COL5A1 was expressed at high levels in 13 cancers and was negatively related to the prognosis of 11 cancers. Additionally, COL5A1 was coexpressed with genes encoding the major histocompatibility complex, immune activators, immune suppressors, chemokines, chemokine receptors, mismatch repair genes, and immune checkpoints. We also identified different roles for COL5A1 in the immunocyte infiltration in different cancers. The correlation between COL5A1 and drug sensitivity was found in several cancers. COL5A1 potentially influenced the tumor progression through immune-related pathways, negative regulation of immune system processes, chemokine signaling pathways, JAK-STAT pathways, T cell receptor pathways, lymphocyte migration, and antigen processing and presentation, among other processes. Conclusions Based on our study, COL5A1 may be employed as a prognostic marker in different malignancies because of its impact on tumorigenesis and immune cell infiltration and have implications for cancer immune checkpoint inhibitors and chemotherapy.
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Zhang J, Chen J, Shan B, Lin L, Dong J, Sun Q, Zhou Q, Han X. Clinical Significance and Prognostic Value of Human Soluble Resistance-Related Calcium-Binding Protein: A Pan-Cancer Analysis. Front Med (Lausanne) 2021; 8:752619. [PMID: 34869449 PMCID: PMC8635117 DOI: 10.3389/fmed.2021.752619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
The soluble resistance-related calcium-binding protein (sorcin, SRI) serves as the calcium-binding protein for the regulation of calcium homeostasis and multidrug resistance. Although the mounting evidence suggests a crucial role of SRI in the chemotherapeutic resistance of certain types of tumors, insights into pan-cancer analysis of SRI are unavailable. Therefore, this study aimed to probe the multifaceted properties of SRI across the 33 cancer types. The SRI expression was analyzed via The Cancer Genome Atlas (TCGA) and Genotype Tissue-Expression (GTEX) database. The SRI genomic alterations and drug sensitivity analysis were performed based on the cBioPortal and the CellMiner database. Furthermore, the correlations among the SRI expression and survival outcomes, clinical features, stemness, tumor mutation burden (TMB), microsatellite instability (MSI), and immune cells infiltration were analyzed using TCGA data. The differential analysis showed that SRI was upregulated in 25 tumor types compared with the normal tissues. Aberrant expression of SRI was able to predict survival in different cancers. Further, the most frequent alteration of SRI genomic was amplification. Moreover, the aberrant SRI expression was related to stemness score, epithelial-mesenchymal-transition (EMT)-related genes, MSI, TMB, and tumor immune microenvironment in various types of cancer. TIMER database mining further found that the SRI expression was significantly correlated with the infiltration levels of various immune cells in certain types of cancer. Intriguingly, the SRI expression was negatively correlated with drug sensitivity of fluorouracil, paclitaxel, docetaxel, and isotretinoin. Our findings highlight the predictive value of SRI in cancer and provide insights for illustrating the role of SRI in tumorigenesis and drug resistance.
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Affiliation(s)
- Jinguo Zhang
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Jian Chen
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Benjie Shan
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Lin Lin
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Jie Dong
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Qingqing Sun
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Qiong Zhou
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Xinghua Han
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
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Gu S, Peng Z, Wu Y, Wang Y, Lei D, Jiang X, Zhao H, Fu P. COL5A1 Serves as a Biomarker of Tumor Progression and Poor Prognosis and May Be a Potential Therapeutic Target in Gliomas. Front Oncol 2021; 11:752694. [PMID: 34868960 PMCID: PMC8635112 DOI: 10.3389/fonc.2021.752694] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/26/2021] [Indexed: 01/19/2023] Open
Abstract
Glioma is the most common malignancy of the central nervous system. Although advances in surgical resection, adjuvant radiotherapy, and chemotherapy have been achieved in the last decades, the prognosis of gliomas is still dismal. COL5A1 is one of the collagen members with minor content but prominent functions. The present study examined the biological functions, prognostic value, and gene-associated tumor-infiltrating immune cells of COL5A1 through experiments and bioinformatics analysis. We found that the overexpression of COL5A1 was positively correlated with the increasing tumor malignancies and indicated poor prognosis in gliomas. Moreover, downregulation of COL5A1 could inhibit proliferation and migration of glioma cells and enhance their temozolomide sensitivities in vitro. Further bioinformatic analysis revealed that COL5A1 and its co-expressed genes participated in a number of pathways and biological processes involved in glioma progression. Finally, we evaluated the tumor-infiltrating immune cells of gliomas depending on COL5A1 and found that the percentages of the dendritic cells, which were known as the central mediator of tumor microenvironment in gliomas, were positively associated with the expression levels of COL5A1. Taken together, COL5A1 is an important biomarker and potential therapeutic target of gliomas.
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Affiliation(s)
- Sujie Gu
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zesheng Peng
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Neurosurgery General Hospital of The Yangtze River Shipping, Wuhan, China
| | - Yuxi Wu
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yihao Wang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Deqiang Lei
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaobing Jiang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyang Zhao
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Fu
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Gonda A, Zhao N, Shah JV, Siebert JN, Gunda S, Inan B, Kwon M, Libutti SK, Moghe PV, Francis NL, Ganapathy V. Extracellular Vesicle Molecular Signatures Characterize Metastatic Dynamicity in Ovarian Cancer. Front Oncol 2021; 11:718408. [PMID: 34868914 PMCID: PMC8637407 DOI: 10.3389/fonc.2021.718408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 10/29/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Late-stage diagnosis of ovarian cancer, a disease that originates in the ovaries and spreads to the peritoneal cavity, lowers 5-year survival rate from 90% to 30%. Early screening tools that can: i) detect with high specificity and sensitivity before conventional tools such as transvaginal ultrasound and CA-125, ii) use non-invasive sampling methods and iii) longitudinally significantly increase survival rates in ovarian cancer are needed. Studies that employ blood-based screening tools using circulating tumor-cells, -DNA, and most recently tumor-derived small extracellular vesicles (sEVs) have shown promise in non-invasive detection of cancer before standard of care. Our findings in this study show the promise of a sEV-derived signature as a non-invasive longitudinal screening tool in ovarian cancer. METHODS Human serum samples as well as plasma and ascites from a mouse model of ovarian cancer were collected at various disease stages. Small extracellular vesicles (sEVs) were extracted using a commercially available kit. RNA was isolated from lysed sEVs, and quantitative RT-PCR was performed to identify specific metastatic gene expression. CONCLUSION This paper highlights the potential of sEVs in monitoring ovarian cancer progression and metastatic development. We identified a 7-gene panel in sEVs derived from plasma, serum, and ascites that overlapped with an established metastatic ovarian carcinoma signature. We found the 7-gene panel to be differentially expressed with tumor development and metastatic spread in a mouse model of ovarian cancer. The most notable finding was a significant change in the ascites-derived sEV gene signature that overlapped with that of the plasma-derived sEV signature at varying stages of disease progression. While there were quantifiable changes in genes from the 7-gene panel in serum-derived sEVs from ovarian cancer patients, we were unable to establish a definitive signature due to low sample number. Taken together our findings show that differential expression of metastatic genes derived from circulating sEVs present a minimally invasive screening tool for ovarian cancer detection and longitudinal monitoring of molecular changes associated with progression and metastatic spread.
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Affiliation(s)
- Amber Gonda
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
| | - Nanxia Zhao
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, United States
| | - Jay V. Shah
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
| | - Jake N. Siebert
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
- Rutgers-Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, United States
| | - Srujanesh Gunda
- School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ, United States
| | - Berk Inan
- School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ, United States
| | - Mijung Kwon
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, United States
| | - Steven K. Libutti
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, United States
| | - Prabhas V. Moghe
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
- Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, United States
| | - Nicola L. Francis
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
| | - Vidya Ganapathy
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States
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A Hypoxia Signature for Predicting Prognosis and Tumor Immune Microenvironment in Adrenocortical Carcinoma. JOURNAL OF ONCOLOGY 2021; 2021:2298973. [PMID: 34603443 PMCID: PMC8481041 DOI: 10.1155/2021/2298973] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/01/2021] [Indexed: 01/14/2023]
Abstract
Adrenocortical carcinoma (ACC) is a rare malignancy with dismal prognosis. Hypoxia is one of characteristics of cancer leading to tumor progression. For ACC, however, no reliable prognostic signature on the basis of hypoxia genes has been built. Our study aimed to develop a hypoxia-associated gene signature in ACC. Data of ACC patients were obtained from TCGA and GEO databases. The genes included in hypoxia risk signature were identified using the Cox regression analysis as well as LASSO regression analysis. GSEA was applied to discover the enriched gene sets. To detect a possible connection between the gene signature and immune cells, the CIBERSORT technique was applied. In ACC, the hypoxia signature including three genes (CCNA2, COL5A1, and EFNA3) was built to predict prognosis and reflect the immune microenvironment. Patients with high-risk scores tended to have a poor prognosis. According to the multivariate regression analysis, the hypoxia signature could be served as an independent indicator in ACC patients. GSEA demonstrated that gene sets linked to cancer proliferation and cell cycle were differentially enriched in high-risk classes. Additionally, we found that PDL1 and CTLA4 expression were significantly lower in the high-risk group than in the low-risk group, and resting NK cells displayed a significant increase in the high-risk group. In summary, the hypoxia risk signature created in our study might predict prognosis and evaluate the tumor immune microenvironment for ACC.
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30
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Heiserman JP, Nallanthighal S, Gifford CC, Graham K, Samarakoon R, Gao C, Sage JJ, Zhang W, Higgins PJ, Cheon DJ. Heat Shock Protein 27, a Novel Downstream Target of Collagen Type XI alpha 1, Synergizes with Fatty Acid Oxidation to Confer Cisplatin Resistance in Ovarian Cancer Cells. Cancers (Basel) 2021; 13:cancers13194855. [PMID: 34638339 PMCID: PMC8508313 DOI: 10.3390/cancers13194855] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/17/2021] [Accepted: 09/23/2021] [Indexed: 01/31/2023] Open
Abstract
Simple Summary Collagen type XI alpha 1 (COL11A1) is a novel biomarker associated with poor survival in ovarian cancer and a promoter of ovarian cancer cell resistance to cisplatin. However, it is poorly understood how COL11A1 promotes ovarian cancer cisplatin resistance. We performed assays to discover the biological molecules that are activated by COL11A1 in ovarian cancer cells. We found that heat shock protein 27 (HSP27), a cellular stress response protein, is activated by COL11A1. Furthermore, we observed that depletion and drug inhibition of HSP27 makes ovarian cancer cells grown on COL11A1 to be more susceptible to cisplatin treatment. We also discovered that ovarian cancer cells upregulate fatty acid oxidation (FAO), a metabolic process that breaks down fats to generate energy and biomolecules, to compensate for the loss of HSP27. Our findings have therapeutic implications for clinicians who wish to treat ovarian tumors that maintain high levels of COL11A1 and HSP27. Abstract Collagen type XI alpha 1 (COL11A1) is a novel biomarker associated with cisplatin resistance in ovarian cancer. We have previously reported that COL11A1 activates Src-Akt signaling through the collagen receptors discoidin domain receptor 2 (DDR2) and integrin α1β1 to confer cisplatin resistance to ovarian cancer cells. To identify the potential signaling molecules downstream of COL11A1 signaling, we performed protein kinase arrays and identified heat shock protein 27 (HSP27) as a potential mediator of COL11A1-induced cisplatin resistance. Through receptor knockdown and inhibitor experiments, we demonstrated that COL11A1 significantly upregulates HSP27 phosphorylation and expression via DDR2/integrin α1β1 and Src/Akt signaling in ovarian cancer cells. Furthermore, genetic knockdown and pharmacological inhibition of HSP27, via ivermectin treatment, significantly sensitizes ovarian cancer cells cultured on COL11A1 to cisplatin treatment. HSP27 knockdown or inhibition also decreases NFκB activity as well as the expression of inhibitors of apoptosis proteins (IAPs), which are known downstream effector molecules of COL11A1 that promote cisplatin resistance. Interestingly, HSP27 knockdown or inhibition stimulates ovarian cancer cells to upregulate fatty acid oxidation (FAO) for survival and cisplatin resistance, and dual inhibition of HSP27 and FAO synergistically kills ovarian cancer cells that are cultured on COL11A1. Collectively, this study identifies HSP27 as a novel and druggable COL11A1 downstream effector molecule that may be targeted to overcome cisplatin resistance in recurrent ovarian cancer, which often overexpress COL11A1.
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31
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Li MY, Flora P, Pu H, Bar C, Silva J, Cohen I, Galbo PM, Liu H, Yu X, Jin J, Koseki H, D'Orazio JA, Zheng D, Ezhkova E. UV-induced reduction in Polycomb repression promotes epidermal pigmentation. Dev Cell 2021; 56:2547-2561.e8. [PMID: 34473941 PMCID: PMC8521440 DOI: 10.1016/j.devcel.2021.08.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 07/08/2021] [Accepted: 08/06/2021] [Indexed: 12/11/2022]
Abstract
Ultraviolet (UV) radiation is a prime environmental stressor that our epidermis is exposed to on a daily basis. To avert UV-induced damage, epidermal stem cells (EpSCs) become pigmented via a process of heterotypic interaction between melanocytes and EpSCs; however, the molecular mechanisms of this interaction are not well understood. In this study, we show that the function of a key chromatin regulator, the Polycomb complex, was reduced upon UV exposure in human and mouse epidermis. Genetic ablation of key Polycomb subunits in murine EpSCs, mimicking depletion upon UV exposure, results in an increased number of epidermal melanocytes and subsequent epidermal pigmentation. Genome-wide transcriptional and chromatin studies show that Polycomb regulates the expression of UV-responsive genes and identifies type II collagen (COL2A1) as a critical secreted regulator of melanogenesis and epidermal pigmentation. Together, our findings show how UV exposure induces Polycomb-mediated changes in EpSCs to affect melanocyte behavior and promote epidermal pigmentation.
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Affiliation(s)
- Meng-Yen Li
- Black Family Stem Cell Institute, Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Pooja Flora
- Black Family Stem Cell Institute, Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Hong Pu
- The Markey Cancer Center, Department of Toxicology and Cancer Biology, Department of Pediatrics, University of Kentucky College of Medicine, Lexington, KY 40506, USA
| | - Carmit Bar
- Black Family Stem Cell Institute, Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Jose Silva
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Idan Cohen
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Science, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel
| | - Phillip M Galbo
- Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Hequn Liu
- Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Xufen Yu
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jian Jin
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Haruhiko Koseki
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences (RIKEN-IMS) 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan; AMED-CREST, 1-7-22 Suehiro-cho Tsurumi-ku, Yokohama 230-0045, Japan
| | - John A D'Orazio
- The Markey Cancer Center, Department of Toxicology and Cancer Biology, Department of Pediatrics, University of Kentucky College of Medicine, Lexington, KY 40506, USA
| | - Deyou Zheng
- Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA; Departments of Genetics, Neurology, and Neuroscience, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Elena Ezhkova
- Black Family Stem Cell Institute, Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.
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Zhang L, Sun W, Ren W, Zhang J, Xu G. Predicting Panel of Metabolism and Immune-Related Genes for the Prognosis of Human Ovarian Cancer. Front Cell Dev Biol 2021; 9:690542. [PMID: 34322485 PMCID: PMC8312230 DOI: 10.3389/fcell.2021.690542] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/21/2021] [Indexed: 01/12/2023] Open
Abstract
Objective Ovarian cancer (OC) is a high deadly gynecologic cancer with a poor prognosis. The identification of genomic aberrations could predict the clinical prognosis of OC patients and may eventually develop new therapeutic strategies in the future. The purpose of this study is to create comprehensive co-expressed gene networks correlated with metabolism and the immune process of OC. Methods The transcriptome profiles of TCGA OC datasets and GSE26193 datasets were analyzed. The mRNA expression level, hub genomic alteration, patient’s survival status, and tumor cell immune microenvironment of metabolism-related genes were analyzed from TCGA, GTEX, Oncomine, Kaplan-Meier Plotter, cBioPortal, TIMER, ESTIMATE, and CIBERSORT databases. We further validated the mRNA and protein expression levels of these hub genes in OC cell lines and tissues using qRT-PCR and immunohistochemistry. Results The LASSO-Cox regression analyses unveiled seven differently expressed metabolism-related genes, including GFPT2, DGKD, ACACB, ACSM3, IDO1, TPMT, and PGP. The Cox regression risk model could be served as an independent marker to predict the overall clinical survival of OC patients. The expression of GFPT2, DGKD, ACACB, and ACSM3 were downregulated in OC tissues, while IDO1, TPMT, and PGP were upregulated in OC tissues than in control. Moreover, DGKD and IDO1 were significantly associated with the human immune system. Conclusion The differently expressed metabolism-related genes were identified to be a risk model in the prediction of the prognosis of OC. The identified hub genes related to OC prognosis may play important roles in influencing both human metabolism and the immune system.
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Affiliation(s)
- Lingyun Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.,Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenwen Sun
- Department of Pathology, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China
| | - Weimin Ren
- Department of Pathology, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinguo Zhang
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guoxiong Xu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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