1
|
Tufail M, Wu C. WNT5A: a double-edged sword in colorectal cancer progression. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2023; 792:108465. [PMID: 37495091 DOI: 10.1016/j.mrrev.2023.108465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
Abstract
The Wnt signaling pathway is known to play a crucial role in cancer, and WNT5A is a member of this pathway that binds to the Frizzled (FZD) and Receptor Tyrosine Kinase-Like Orphan Receptor (ROR) family members to activate non-canonical Wnt signaling pathways. The WNT5A pathway is involved in various cellular processes, such as proliferation, differentiation, migration, adhesion, and polarization. In the case of colorectal cancer (CRC), abnormal activation or inhibition of WNT5A signaling can lead to both oncogenic and antitumor effects. Moreover, WNT5A is associated with inflammation, metastasis, and altered metabolism in cancer cells. This article aims to discuss the molecular mechanisms and dual roles of WNT5A in CRC.
Collapse
Affiliation(s)
- Muhammad Tufail
- Institute of Biomedical Sciences, Shanxi University, Taiyuan 030006, China.
| | - Changxin Wu
- Institute of Biomedical Sciences, Shanxi University, Taiyuan 030006, China
| |
Collapse
|
2
|
Wang C, DeMeo DL, Kim ES, Cardenas A, Fong KC, Lee LO, Spiro A, Whitsel EA, Horvath S, Hou L, Baccarelli AA, Li Y, Stewart JD, Manson JE, Grodstein F, Kubzansky LD, Schwartz JD. Epigenome-Wide Analysis of DNA Methylation and Optimism in Women and Men. Psychosom Med 2023; 85:89-97. [PMID: 36201768 PMCID: PMC9771983 DOI: 10.1097/psy.0000000000001147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Higher optimism is associated with reduced mortality and a lower risk of age-related chronic diseases. DNA methylation (DNAm) may provide insight into mechanisms underlying these relationships. We hypothesized that DNAm would differ among older individuals who are more versus less optimistic. METHODS Using cross-sectional data from two population-based cohorts of women with diverse races/ethnicities ( n = 3816) and men (only White, n = 667), we investigated the associations of optimism with epigenome-wide leukocyte DNAm. Random-effects meta-analyses were subsequently used to pool the individual results. Significantly differentially methylated cytosine-phosphate-guanines (CpGs) were identified by the "number of independent degrees of freedom" approach: effective degrees of freedom correction using the number of principal components (PCs), explaining >95% of the variation of the DNAm data (PC-correction). We performed regional analyses using comb-p and pathway analyses using the Ingenuity Pathway Analysis software. RESULTS We found that essentially all CpGs (total probe N = 359,862) were homogeneous across sex and race/ethnicity in the DNAm-optimism association. In the single CpG site analyses based on homogeneous CpGs, we identified 13 significantly differentially methylated probes using PC-correction. We found four significantly differentially methylated regions and two significantly differentially methylated pathways. The annotated genes from the single CpG site and regional analyses are involved in psychiatric disorders, cardiovascular disease, cognitive impairment, and cancer. Identified pathways were related to cancer, and neurodevelopmental and neurodegenerative disorders. CONCLUSION Our findings provide new insights into possible mechanisms underlying optimism and health.
Collapse
Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Dawn L. DeMeo
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric S. Kim
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Psychology, University of British Columbia, BC V6T 1Z4, Canada
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Population Medicine, Division of Chronic Disease Research Across the Lifecourse, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Kelvin C. Fong
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- School of the Environment, Yale University, New Haven, CT 06511, USA
| | - Lewina O. Lee
- National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, Boston, MA 02130, USA
- Department Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Avron Spiro
- Department Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Steve Horvath
- Department of Human Genetics, University of California, Los Angeles, CA 90095, USA
- Department of Biostatistics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599 USA
| | - James D. Stewart
- Cardiovascular Program, Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, 27599, USA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francine Grodstein
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| |
Collapse
|
3
|
Zhao Z, Li W, Zhu L, Xu B, Jiang Y, Ma N, Liu L, Qiu J, Zhang M. Construction and Verification of a Fibroblast-Related Prognostic Signature Model for Colon Cancer. Front Genet 2022; 13:908957. [PMID: 35910200 PMCID: PMC9329609 DOI: 10.3389/fgene.2022.908957] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
Traditionally, cancer-associated fibroblasts (CAFs), an essential component of tumor microenvironment, were exert a crucial part in colon cancer progression. In this study, single-cell RNA-sequencing (scRNA-seq) data from 23 and bulk RNA-seq data from 452 colon cancer patients were extracted from the GEO database and TCGA-COAD and GEO databases, respectively. From single-cell analysis, 825 differentially expressed genes (DEGs) in CAFs were identified between each pair of six newly defined CAFs, named enCAF, adCAF, vaCAF, meCAF, erCAF, and cyCAF. Cell communication analysis with the iTALK package showed communication relationship between CAFs, including cell autocrine, cytokine, and growth factor subtypes, such as receptor-ligand pairs of TNFSF14-LTBR, IL6-F3, and IL6-IL6ST. Herein, we demonstrated the presence and prognostic value of adCAF and erCAF in colon cancer based on CIBERSORTx, combining single-cell marker genes and transcriptomics data. The prognostic significance of the enCAF and erCAF has been indirectly proved by both the correlation analysis with macrophages and CAFs, and the quantitative reverse transcription-polymerase chain reaction (qRT-PCR) experiment based on 20 paired tumor samples. A prognostic model was constructed with 10 DEGs using the LASSO Cox regression method. The model was validated using two testing datasets, indicate a significant survival accuracy (p < 0.0025). Correlation analyses between clinical information, such as age, gender, tumor stage and tumor features (tumor purity and immune score), and risk scores revealed our CAF-related model’s robustness and excellent performance. Cell infiltration analysis by xCell revealed that the interaction between CAFs and multiple non-specific immune cells such as macrophages and the dendritic cell was a vital factor affecting immune score and prognosis. Finally, we analyzed how common anti-cancer drugs, including camptothecin, docetaxel and bortezomib, and immunotherapy, such as anti-PD-1 treatment, could be different in low-risk and high-risk patients inferred from our CAF-related model. In conclusion, the study utilized refined colon cancer fibroblast subsets and established the prognostic effects from the interaction with nonspecific immune cell.
Collapse
Affiliation(s)
- Zhe Zhao
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
| | - Wenqi Li
- Department of Newborn Infants, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - LiMeng Zhu
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
| | - Bei Xu
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
| | - Yudong Jiang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Nan Ma
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
| | - LiQun Liu
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
| | - Jie Qiu
- Department of Newborn Infants, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Min Zhang
- Zhengzhou KingMed Center for Clinical Laboratory Co. Ltd., Zhengzhou, China
- *Correspondence: Min Zhang,
| |
Collapse
|
4
|
Wang J, Li D, Zhao B, Kim J, Sui G, Shi J. Small Molecule Compounds of Natural Origin Target Cellular Receptors to Inhibit Cancer Development and Progression. Int J Mol Sci 2022; 23:ijms23052672. [PMID: 35269825 PMCID: PMC8911024 DOI: 10.3390/ijms23052672] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/16/2022] [Accepted: 02/25/2022] [Indexed: 01/03/2023] Open
Abstract
Receptors are macromolecules that transmit information regulating cell proliferation, differentiation, migration and apoptosis, play key roles in oncogenic processes and correlate with the prognoses of cancer patients. Thus, targeting receptors to constrain cancer development and progression has gained widespread interest. Small molecule compounds of natural origin have been widely used as drugs or adjuvant chemotherapeutic agents in cancer therapies due to their activities of selectively killing cancer cells, alleviating drug resistance and mitigating side effects. Meanwhile, many natural compounds, including those targeting receptors, are still under laboratory investigation for their anti-cancer activities and mechanisms. In this review, we classify the receptors by their structures and functions, illustrate the natural compounds targeting these receptors and discuss the mechanisms of their anti-cancer activities. We aim to provide primary knowledge of mechanistic regulation and clinical applications of cancer therapies through targeting deregulated receptors.
Collapse
Affiliation(s)
| | | | | | | | - Guangchao Sui
- Correspondence: (G.S.); (J.S.); Tel.: +86-451-82191081 (G.S. & J.S.)
| | - Jinming Shi
- Correspondence: (G.S.); (J.S.); Tel.: +86-451-82191081 (G.S. & J.S.)
| |
Collapse
|
5
|
Hafezi N, Alizadeh-Navaei R, Golpour M, Zafari P, Ajami A. Role of Frizzled receptor expression on patients' survival with gastrointestinal cancers: A systematic review with meta-analysis. CASPIAN JOURNAL OF INTERNAL MEDICINE 2022; 13:1-9. [PMID: 35178201 PMCID: PMC8797823 DOI: 10.22088/cjim.13.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 04/11/2021] [Accepted: 07/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Frizzled receptors (FZD) play a pivotal role in the initiation and progression of a wide array of cancers. Dysregulated expression of FZD receptors is correlated with higher metastasis and invasive potential, as well as short survival in many malignancies. In this meta-analysis, we aimed to verify the prognostic value of FZD receptor expression on patients' survival with different types of gastrointestinal (GI) cancers, including gastric, colorectal, and esophageal cancers. METHODS A systematic search was performed using PubMed, Scopus, and Web of Science from 2000 to November 2020. Fourteen studies, including 2997 patients met our inclusion criteria, in which nine articles were considered FZD7 while the rest were about other FZD members. The fixed-effect model was used to estimate the pooled hazard ratio (HR) and the 5-year overall survival (OS) rate. We used the Newcastle-Ottawa scale of cohort articles to determine the quality of included studies. RESULTS The results showed that high expression of FZD receptors is associated with the poor survival in patients with GI cancers (HR= 1.83, 95% CI: 1.5-2.17). Moreover, multivariate analysis indicated that FZD receptors could be considered as an independent prognostic factor (HR = 1.76, 95% CI: 1.37-2.16). CONCLUSION According to our results, overexpression of FZD receptors predicts a poor prognosis in patients with GI cancers and could be used as a useful therapeutic target.
Collapse
Affiliation(s)
- Nasim Hafezi
- Department of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Molecular and Cell Biology Research Center, Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Reza Alizadeh-Navaei
- Gastrointestinal Cancer Research Center, Non-Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Monireh Golpour
- Department of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Molecular and Cell Biology Research Center, Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Parisa Zafari
- Department of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Abolghasem Ajami
- Department of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Molecular and Cell Biology Research Center, Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
- Department of Infectious Diseases, Antimicrobial Resistance Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| |
Collapse
|
6
|
Theodosi A, Ouzounis S, Kostopoulos S, Glotsos D, Kalatzis I, Asvestas P, Tzelepi V, Ravazoula P, Cavouras D, Sakellaropoulos G. Employing machine learning and microscopy images of AIB1-stained biopsy material to assess the 5-year survival of patients with colorectal cancer. Microsc Res Tech 2021; 84:2421-2433. [PMID: 33929071 DOI: 10.1002/jemt.23797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/04/2021] [Accepted: 04/10/2021] [Indexed: 01/07/2023]
Abstract
Our purpose was to employ microscopy images of amplified in breast cancer 1 (AIB1)-stained biopsy material of patients with colorectal cancer (CRC) to: (a) find statistically significant differences (SSDs) in the texture and color of the epithelial gland tissue, between 5-year survivors and non-survivors after the first diagnosis and (b) employ machine learning (ML) methods for predicting the CRC-patient 5-year survival. We collected biopsy material from 54 patients with diagnosed CRC from the archives of the University Hospital of Patras, Greece. Twenty-six of the patients had survived 5 years after the first diagnosis. We selected regions of interest containing the epithelial gland at different microscope lens magnifications. We computed 69 textural and color features. Furthermore, we identified features with SSDs between the two groups of patients and we designed a supervised ML system for predicting the CRC-patient 5-year survival. Additionally, we employed the VGG16 pretrained convolution neural network to extract deep learning (DL) features, the support vector machines classifier, and the bootstrap cross-validation method for boosting the accuracy of predicting 5-year survival. Fourteen features sustained SSDs between the two groups of patients. The supervised ML system achieved 87% accuracy in predicting 5-year survival. In comparison, the DL system, using images from all magnifications, gave 97% classification accuracy. Glandular texture in 5-year non-survivors appeared to be of lower contrast, coarseness, roughness, local pixel correlation, and lower AIB1 variation, all indicating loss of textural definition. The supervised ML system revealed useful information regarding features that discriminate between 5-year survivors and non-survivors while the DL system displayed superior accuracy by employing DL features.
Collapse
Affiliation(s)
- Angeliki Theodosi
- Department of Medical Physics, School of Health Sciences, Faculty of Medicine, University of Patras, Patras, Greece
| | - Sotiris Ouzounis
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - Spiros Kostopoulos
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - Dimitris Glotsos
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - Ioannis Kalatzis
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - Pantelis Asvestas
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - Vassiliki Tzelepi
- Department of Pathology, University Hospital of Patras, Patras, Greece
| | | | - Dionisis Cavouras
- Department of Biomedical Engineering, Medical Image and Signal Processing Laboratory, University of West Attica, Athens, Greece
| | - George Sakellaropoulos
- Department of Medical Physics, School of Health Sciences, Faculty of Medicine, University of Patras, Patras, Greece
| |
Collapse
|
7
|
Azbazdar Y, Karabicici M, Erdal E, Ozhan G. Regulation of Wnt Signaling Pathways at the Plasma Membrane and Their Misregulation in Cancer. Front Cell Dev Biol 2021; 9:631623. [PMID: 33585487 PMCID: PMC7873896 DOI: 10.3389/fcell.2021.631623] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/04/2021] [Indexed: 12/24/2022] Open
Abstract
Wnt signaling is one of the key signaling pathways that govern numerous physiological activities such as growth, differentiation and migration during development and homeostasis. As pathway misregulation has been extensively linked to pathological processes including malignant tumors, a thorough understanding of pathway regulation is essential for development of effective therapeutic approaches. A prominent feature of cancer cells is that they significantly differ from healthy cells with respect to their plasma membrane composition and lipid organization. Here, we review the key role of membrane composition and lipid order in activation of Wnt signaling pathway by tightly regulating formation and interactions of the Wnt-receptor complex. We also discuss in detail how plasma membrane components, in particular the ligands, (co)receptors and extracellular or membrane-bound modulators, of Wnt pathways are affected in lung, colorectal, liver and breast cancers that have been associated with abnormal activation of Wnt signaling. Wnt-receptor complex components and their modulators are frequently misexpressed in these cancers and this appears to correlate with metastasis and cancer progression. Thus, composition and organization of the plasma membrane can be exploited to develop new anticancer drugs that are targeted in a highly specific manner to the Wnt-receptor complex, rendering a more effective therapeutic outcome possible.
Collapse
Affiliation(s)
- Yagmur Azbazdar
- Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, İzmir, Turkey.,Izmir International Biomedicine and Genome Institute (IBG-Izmir), Dokuz Eylul University, İzmir, Turkey
| | - Mustafa Karabicici
- Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, İzmir, Turkey.,Izmir International Biomedicine and Genome Institute (IBG-Izmir), Dokuz Eylul University, İzmir, Turkey
| | - Esra Erdal
- Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, İzmir, Turkey.,Department of Medical Biology and Genetics, Faculty of Medicine, Dokuz Eylul University, İzmir, Turkey
| | - Gunes Ozhan
- Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, İzmir, Turkey.,Izmir International Biomedicine and Genome Institute (IBG-Izmir), Dokuz Eylul University, İzmir, Turkey
| |
Collapse
|
8
|
Cid-Gallegos MS, Sánchez-Chino XM, Juárez Chairez MF, Álvarez González I, Madrigal-Bujaidar E, Jiménez-Martínez C. Anticarcinogenic Activity of Phenolic Compounds from Sprouted Legumes. FOOD REVIEWS INTERNATIONAL 2020. [DOI: 10.1080/87559129.2020.1840581] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- María Stephanie Cid-Gallegos
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Mexico City, Mexico
| | - Xariss M. Sánchez-Chino
- Cátedra-CONACyT, Departamento de Salud, El Colegio de la Frontera Sur-Villahermosa, Villahermosa, Mexico
| | - Milagros Faridy Juárez Chairez
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Mexico City, Mexico
| | - Isela Álvarez González
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Mexico City, Mexico
| | - Eduardo Madrigal-Bujaidar
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Mexico City, Mexico
| | - Cristian Jiménez-Martínez
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Mexico City, Mexico
| |
Collapse
|
9
|
Li Q, Huyan T, Cai S, Huang Q, Zhang M, Peng H, Zhang Y, Liu N, Zhang W. The role of exosomal miR-375-3p: A potential suppressor in bladder cancer via the Wnt/β-catenin pathway. FASEB J 2020; 34:12177-12196. [PMID: 32716585 DOI: 10.1096/fj.202000347r] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 06/09/2020] [Accepted: 06/29/2020] [Indexed: 12/24/2022]
Abstract
miR-375-3p is a significantly downregulated miRNA in bladder cancer (BC). However, its role in BC regulation is still unclear. In this study, we reported that miR-375-3p overexpression inhibited proliferation and migration and promoted apoptosis in BC cells. Frizzled-8 (FZD8) gene is identified as the direct miR-375-3p targeting gene. miR-375-3p blocks the Wnt/β-catenin pathway and downstream molecules Cyclin D1 and c-Myc by inhibiting the expression of FZD8 directly, it could increase caspase 1 and caspase 3 expression and promote T24 cell apoptosis as well. miR-375-3p also showed a significant inhibitory effect in vivo in bladder tumor-bearing nude mice, as demonstrated by the reduced tumor volume and Ki67 proliferation index in tumor tissue. Collectively, miR-375-3p is a suppressor of BC that inhibits proliferation and metastasis, and promotes apoptosis in BC cells as well as suppresses tumor growth in a T24 xenograft mouse model, which could be used as a potential therapeutic approach for BC in future.
Collapse
Affiliation(s)
- Qi Li
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Ting Huyan
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China.,Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an, China
| | - Suna Cai
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Qiuping Huang
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Mengzhao Zhang
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hourong Peng
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Yujun Zhang
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Ningjing Liu
- Key Laboratory for Space Bioscience and Space Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Wei Zhang
- Department of Anesthesiology, Henan Provincial People's Hospital (People's Hospital of Zhengzhou University), Zhengzhou, China
| |
Collapse
|