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Zhao J, Wang X, Wu Y, Zhao C. Krüppel-like factor 4 modulates the miR-101/COL10A1 axis to inhibit renal fibrosis after AKI by regulating epithelial-mesenchymal transition. Ren Fail 2024; 46:2316259. [PMID: 38345033 PMCID: PMC10863509 DOI: 10.1080/0886022x.2024.2316259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 02/03/2024] [Indexed: 02/15/2024] Open
Abstract
Acute kidney injury (AKI) can progress to renal fibrosis and chronic kidney disease (CKD), which reduces quality of life and increases the economic burden on patients. However, the molecular mechanisms underlying renal fibrosis following AKI remain unclear. This study tested the hypothesis that the Krüppel-like factor 4 (KLF4)/miR-101/Collagen alpha-1X (COL10A1) axis could inhibit epithelial-mesenchymal transition (EMT) and renal fibrosis after AKI in a mouse model of ischemia-reperfusion (I/R)-induced renal fibrosis and HK-2 cells by gene silencing, overexpression, immunofluorescence, immunohistochemistry, real-time quantitative PCR, Western blotting, dual-luciferase reporter assay, fluorescence in situ hybridization (FISH) and ELISA. Compared with the Sham group, I/R induced renal tubular and glomerular injury and fibrosis, and increased the levels of BUN, serum Scr and neutrophil gelatinase-associated lipocalin (NGAL), Col10a1 and Vimentin expression, but decreased E-cadherin expression in the kidney tissues of mice at 42 days post-I/R. Similarly, hypoxia promoted fibroblastic morphological changes in HK-2 cells and enhanced NGAL, COL10A1, Vimentin, and α-SMA expression, but reduced E-cadherin expression in HK-2 cells. These pathological changes were significantly mitigated in COL10A1-silenced renal tissues and HK-2 cells. KLF4 induces miR-101 transcription. More importantly, hypoxia upregulated Vimentin and COL10A1 expression, but decreased miR-101, KLF4, and E-cadherin expression in HK-2 cells. These hypoxic effects were significantly mitigated or abrogated by KLF4 over-expression in the HK-2 cells. Our data indicate that KLF4 up-regulates miR-101 expression, leading to the downregulation of COL10A1 expression, inhibition of EMT and renal fibrosis during the pathogenic process of I/R-related renal fibrosis.
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Affiliation(s)
- Jingying Zhao
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China
| | - Xiuli Wang
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China
| | - Yubin Wu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China
| | - Chengguang Zhao
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of China
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Peng J, Liu X, Mao Y, Lv M, Ma T, Liu J, Zhou Q, Han Y, Li X, Wang H. Upregulation of collagen type X alpha 1 promotes the progress of triple-negative breast cancer via Wnt/β-catenin signaling. Mol Carcinog 2024; 63:1588-1598. [PMID: 38780151 DOI: 10.1002/mc.23747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/04/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Triple-negative breast cancer (TNBC) is a malignant tumor with high degree of malignancy and lack of effective target treatment. The research aims to explore the role and mechanism of X collagen alpha-1 chain protein (COL10A1 gene) in TNBC. UALCAN and Kaplan-Meier were used to detect the expression of COL10A1 and its role in the prognosis of breast cancer patients. The cells with stably expressing high levels of COL10A1 were obtained by recombinant lentivirus infection. The expression of COL10A1 in cells was temporarily downregulated by siRNA interference fragments. Real-time quantitative polymerase chain reaction and western blot analysis were utilized to detect the changes of COL10A1 mRNA and protein expression. The biological functions of the cells were evaluated by colony formation, cell counting kit-8, cell invasion and wound healing experiments. In addition, the effect of COL10A1 on angiogenesis was investigated by tube formation assay. Xenograft tumor model was used to confirm the effect of COL10A1 on tumorigenicity in vivo and multiplex fluorescent immunohistochemistry to detect multiple proteins simultaneously. The possible molecular mechanism of the function of COL10A1 was speculated through the detection of proteins in functionally related pathways. COL10A1 is highly expressed and is significantly associated with worse overall survival (OS) and recurrence-free survival (RFS) in TNBC. Overexpression of COL10A1 increased the clone formation rate and cell migration capacity of TNBC cells. In the COL10A1 overexpression group, the clone formation rates of MD-MB-231 and BT-549 cells (21.5 ± 0.62, 27.83 ± 3.72)% were significantly higher than those in the control group(15.23 ± 2.79, 19.4 ± 1.47)%, and the relative migration ratio (47.40 ± 3.09, 41.26 ± 4.33)% were higher than those in the control group (34.48 ± 2.03, 21.80 ± 1.03)%. When the expression of COL10A1 was downregulated, the ability of clone formation and wound-healing migration capacity in TNBC cells was weakened. Upregulated COL10A1 in TNBC cells generated more junctions and longer total segments between vascular endothelial cells, and promoted angiogenesis of the cells, and thus enhanced the tumorigenesis. In TNBC, it was found that COL10A1 might affect epithelial-mesenchymal transition (EMT) of the cells through Wnt/β-catenin signaling pathway by the detection of the related pathway proteins. COL10A1 is highly expressed in TNBC, and its high expression leads to poor OS and RFS. COL10A1 may enhance TNBC cell proliferation, migration and tumor-related angiogenesis, and promote tumorigenesis in vivo via Wnt/β-catenin signaling.
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Affiliation(s)
- Jing Peng
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiangping Liu
- Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yan Mao
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Meng Lv
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Teng Ma
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jiaxiu Liu
- Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Quan Zhou
- Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yafei Han
- Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xin Li
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Haibo Wang
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
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Liu J, Chai XX, Qiu XR, Sun WJ, Tian YL, Guo WH, Yin DC, Zhang CY. Type X collagen knockdown inactivate ITGB1/PI3K/AKT to suppress chronic unpredictable mild stress-stimulated triple-negative breast cancer progression. Int J Biol Macromol 2024; 273:133074. [PMID: 38866293 DOI: 10.1016/j.ijbiomac.2024.133074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/19/2024] [Accepted: 06/08/2024] [Indexed: 06/14/2024]
Abstract
Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer, has a poor prognosis and limited access to efficient targeted treatments. Chronic unpredictable mild stress (CUMS) is highly risk factor for TNBC occurrence and development. Type X collagen (COL10A1), a crucial protein component of the extracellular matrix, ranks second among all aberrantly expressed genes in TNBC, and it is significantly up-regulated under CUMS. Nevertheless, the impact of CUMS and COL10A1 on TNBC, along with the underlying mechanisms are still unclear. In this research, we studied the effect of CUMS-induced norepinephrine (NE) elevation on TNBC, and uncovered that it notably enhanced TNBC cell proliferation, migration, and invasion in vitro, and also fostering tumor growth and lung metastasis in vivo. Additionally, our investigation found that COL10A1 directly interacted with integrin subunit beta 1 (ITGB1), then activates the downstream PI3K/AKT signaling pathway, thereby promoting TNBC growth and metastasis, while it was reversed by knocking down of COL10A1 or ITGB1. Our study demonstrated that the TNBC could respond to CUMS, and advocate for COL10A1 as a pivotal therapeutic target in TNBC treatment.
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Affiliation(s)
- Jie Liu
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Xiao-Xia Chai
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Xiao-Rong Qiu
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Wen-Jun Sun
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Yi-Le Tian
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Wei-Hong Guo
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China
| | - Da-Chuan Yin
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China.
| | - Chen-Yan Zhang
- Institute for Special Environmental Biophysics, Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710000, Shaanxi, PR China; Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518063, China.
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4
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Xu Y, Jin H, Chen Y, Yang Z, Xu D, Zhang X, Yang J, Wang Y. Comprehensive analysis of the expression, prognostic, and immune infiltration for COL4s in stomach adenocarcinoma. BMC Med Genomics 2024; 17:168. [PMID: 38907304 PMCID: PMC11191235 DOI: 10.1186/s12920-024-01934-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 06/14/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Collagen (COL) genes, play a key role in tumor invasion and metastasis, are involved in tumor extracellular matrix (ECM)-receptor interactions and focal adhesion pathways. However, studies focusing on the diagnostic value of the COL4 family in stomach adenocarcinoma (STAD) are currently lacking. METHODS The TCGA database was employed to retrieve the clinical features and RNA sequencing expression profiles of patients with STAD. We conducted an investigation to examine the expression disparities between STAD and adjacent normal tissues. Kaplan-Meier survival analysis was utilized to assess their prognostic significance, while Spearman correlation analysis was employed to determine their association with immune checkpoint genes and immunomodulatory molecules. Furthermore, GO and KEGG analyses were performed on the COL4s-related genes, revealing potential biological pathways through gene set enrichment analysis (GSEA). Subsequently, we explored the extent of immune infiltration of the COL4 family in STAD using the TIMER database. Lastly, the expression levels of the COL4 family in STAD were further validated through quantitative PCR (qPCR) and western blot techniques. RESULTS The expression levels of COL4A1/2 were significantly upregulated, while COL4A5/6 were conspicuously downregulated in STAD. The survival analysis revealed that the upregulated COL4s indicated poorer overall survival, first progression and post-progression survival outcomes. Additionally, our findings demonstrated a positive correlation between the expressions of COL4A1/2/3/4 and the infiltration of immune cells, including CD8 + T cells, dendritic cells, macrophages, neutrophils and CD4 + T cells. Further correlation analysis uncovered a favorable association between the expression of COL4A1/2/3/4 and various crucial immunomodulatory molecules, immunological checkpoint molecules, and chemokines. Quantitative PCR analysis confirmed that the expression patterns of COL4A1/3/4/6 genes aligned with the finding from the TCGA database. However, gastric cancer cells exhibited downregulation of COL4A2. Consistently, the protein level of COL4A1 was elevated, whereas the protein level of COL4A2 was reduced in the gastric cancer cell lines. CONCLUSION COL4s could potentially serve as biomarkers for diagnosing and predicting the prognosis of STAD.
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Affiliation(s)
- Ying Xu
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China
- Hangzhou Institute of Digestive Diseases, Hangzhou, China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China
| | - Hangbin Jin
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China
- Hangzhou Institute of Digestive Diseases, Hangzhou, China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yan Chen
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China
- Hangzhou Institute of Digestive Diseases, Hangzhou, China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China
| | - Zhen Yang
- School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Dongchao Xu
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China
- Hangzhou Institute of Digestive Diseases, Hangzhou, China
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China
| | - Xiaofeng Zhang
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
- Hangzhou Institute of Digestive Diseases, Hangzhou, China.
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China.
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Jianfeng Yang
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
- Hangzhou Institute of Digestive Diseases, Hangzhou, China.
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China.
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Yu Wang
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
- Hangzhou Institute of Digestive Diseases, Hangzhou, China.
- Key Laboratory of Integrated Traditional Chinese and Western Medicine for Biliary and Pancreatic Diseases of Zhejiang Province, Hangzhou, China.
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5
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Chai H, Huang Y, Xu L, Song X, He M, Wang Q. A decentralized federated learning-based cancer survival prediction method with privacy protection. Heliyon 2024; 10:e31873. [PMID: 38845954 PMCID: PMC11153246 DOI: 10.1016/j.heliyon.2024.e31873] [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: 07/18/2023] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/09/2024] Open
Abstract
Background Survival prediction is one of the crucial goals in precision medicine, as accurate survival assessment can aid physicians in selecting appropriate treatment for individual patients. To achieve this aim, extensive data must be utilized to train the prediction model and prevent overfitting. However, the collection of patient data for disease prediction is challenging due to potential variations in data sources across institutions and concerns regarding privacy and ownership issues in data sharing. To facilitate the integration of cancer data from different institutions without violating privacy laws, we developed a federated learning-based data integration framework called AdFed, which can be used to evaluate patients' survival while considering the privacy protection problem by utilizing the decentralized federated learning technology and regularization method. Results AdFed was tested on different cancer datasets that contain the patients' information from different institutions. The experimental results show that AdFed using distributed data can achieve better performance in cancer survival prediction (AUC = 0.605) than the compared federated-learning-based methods (average AUC = 0.554). Additionally, to assess the biological interpretability of our method, in the case study we list 10 identified genes related to liver cancer selected by AdFed, among which 5 genes have been proved by literature review. Conclusions The results indicate that AdFed outperforms better than other federated-learning-based methods, and the interpretable algorithm can select biologically significant genes and pathways while ensuring the confidentiality and integrity of data.
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Affiliation(s)
- Hua Chai
- School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
| | - Yiqian Huang
- School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
| | - Lekai Xu
- School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
| | - Xinpeng Song
- School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
| | - Minfan He
- School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
| | - Qingyong Wang
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, China
- Anhui Provincial Engineering Research Center for Agricultural Information Perception and Intelligent Computing, Hefei, 230036, China
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6
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Beutgen V, Bhagwat AM, Steitz AM, Reinartz S, Müller R, Graumann J. Sample-Treatment with the Virucidal β-Propiolactone Does Not Preclude Analysis by Large Panel Affinity Proteomics, Including the Discovery of Biomarker Candidates. Anal Chem 2024; 96:9332-9342. [PMID: 38810147 PMCID: PMC11172684 DOI: 10.1021/acs.analchem.3c04116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 05/07/2024] [Accepted: 05/07/2024] [Indexed: 05/31/2024]
Abstract
Virus inactivation is a prerequisite for safe handling of high-risk infectious samples. β-Propiolactone (BPL) is an established reagent with proven virucidal efficacy. BPL primarily reacts with DNA, RNA, and amino acids. The latter may modify antigenic protein epitopes interfering with binding properties of affinity reagents such as antibodies and aptamers used in affinity proteomic screens. We investigated (i) the impact of BPL treatment on the analysis of protein levels in plasma samples using the aptamer-based affinity proteomic platform SomaScan and (ii) effects on protein detection in conditioned medium samples using the proximity extension assay-based Olink Target platform. In the former setup, BPL-treated and native plasma samples from patients with ovarian cancer (n = 12) and benign diseases (n = 12) were analyzed using the SomaScan platform. In the latter, conditioned media samples collected from cultured T cells with (n = 3) or without (n = 3) anti-CD3 antibody stimulation were analyzed using the Olink Target platform. BPL-related changes in protein detection were evaluated comparing native and BPL-treated states, simulating virus inactivation, and impact on measurable group differences was assessed. While approximately one-third of SomaScan measurements were significantly changed by the BPL treatment, a majority of antigen/aptamer interactions remained unaffected. Interaction effects of BPL treatment and disease state, potentially altering detectability of group differences, were observable for less than one percent of targets (0.6%). BPL effects on protein detection with Olink Target were also limited, affecting 3.6% of detected proteins with no observable interaction effects. Thus, effects of BPL treatment only moderately interfere with affinity proteomic detectability of differential protein expression between different experimental groups. Overall, the results prove high-throughput affinity proteomics well suited for the analysis of high-risk samples inactivated using BPL.
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Affiliation(s)
- Vanessa
M. Beutgen
- Institute
of Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
- Core
Facility Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
| | - Aditya M. Bhagwat
- Institute
of Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
- Core
Facility Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
| | - Anna Mary Steitz
- Translational
Oncology Group, Center for Tumor Biology and Immunology (ZTI), Philipps-Universität Marburg, 35043 Marburg, Germany
| | - Silke Reinartz
- Translational
Oncology Group, Center for Tumor Biology and Immunology (ZTI), Philipps-Universität Marburg, 35043 Marburg, Germany
| | - Rolf Müller
- Translational
Oncology Group, Center for Tumor Biology and Immunology (ZTI), Philipps-Universität Marburg, 35043 Marburg, Germany
| | - Johannes Graumann
- Institute
of Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
- Core
Facility Translational Proteomics, Biochemical/Pharmacological Centre, Philipps-Universität Marburg, 35043 Marburg, Germany
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7
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Li X, Jin Y, Xue J. Unveiling Collagen's Role in Breast Cancer: Insights into Expression Patterns, Functions and Clinical Implications. Int J Gen Med 2024; 17:1773-1787. [PMID: 38711825 PMCID: PMC11073151 DOI: 10.2147/ijgm.s463649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/21/2024] [Indexed: 05/08/2024] Open
Abstract
Collagen, the predominant protein constituent of the mammalian extracellular matrix (ECM), comprises a diverse family of 28 members (I-XXVIII). Beyond its structural significance, collagen is implicated in various diseases or cancers, notably breast cancer, where it influences crucial cellular processes including proliferation, metastasis, apoptosis, and drug resistance, intricately shaping cancer progression and prognosis. In breast cancer, distinct collagens exhibit differential expression profiles, with some showing heightened or diminished levels in cancerous tissues or cells compared to normal counterparts, suggesting specific and pivotal biological functions. In this review, we meticulously analyze the expression of individual collagen members in breast cancer, utilizing Transcripts Per Million (TPM) data sourced from the GEPIA2 database. Through this analysis, we identify collagens that deviate from normal expression patterns in breast cancer, providing a comprehensive overview of their expression dynamics, functional roles, and underlying mechanisms. Our findings shed light on recent advancements in understanding the intricate interplay between these aberrantly expressed collagens and breast cancer. This exploration aims to offer valuable insights for the identification of potential biomarkers and therapeutic targets, thereby advancing the prospects of more effective interventions in breast cancer treatment.
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Affiliation(s)
- Xia Li
- Department of Molecular Diagnosis, Northern Jiangsu People’s Hospital, Yangzhou, People’s Republic of China
| | - Yue Jin
- Department of Molecular Diagnosis, Northern Jiangsu People’s Hospital, Yangzhou, People’s Republic of China
| | - Jian Xue
- Department of Emergency Medicine, Yizheng People’s Hospital, Yangzhou, People’s Republic of China
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8
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Ataei A, Azizi M, Hajisadeghi S, Madani M, Khorami M, Hassantash S, Saeidpour Masouleh S, Barati G. The Therapeutic Effects of Mesenchymal Stem Cells and their Secretome on Oral Squamous Cell Carcinoma. Curr Mol Med 2024; 24:1195-1207. [PMID: 37366360 DOI: 10.2174/1566524023666230627151809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 05/23/2023] [Accepted: 05/26/2023] [Indexed: 06/28/2023]
Abstract
Oral cancers are prevalent in the human population, particularly in unindustrialized countries. In 90 % of oral cancers, the tumors arise from squamous cells, which is called oral squamous cell carcinoma (OSCC). Despite new treatment strategies, the morbidity and mortality rates are still high. Current treatment options including surgery, chemotherapy, and radiotherapy are not effective in the treatment of the tumor. Cell therapy with mesenchymal stem cells (MSCs) is considered one of the leading strategies in cancer treatment. However, the field of MSC therapy in OSCC is immature and ongoing studies are being conducted in experimental and pre-clinical studies. Here, we reviewed these studies to figure out whether the use of MSCs could be worthwhile in OSCC therapy or not. Both native and engineered MSCs as well as their secretome have been used in the treatment of OSCC. It seems that genetically modified MSCs or their secretome could inhibit the tumorigenesis of OSCC. However, further pre-clinical studies are required to come to a conclusion.
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Affiliation(s)
- Atefe Ataei
- Department of Periodontics, School of Dentistry, Birjand University of Medical Sciences, Birjand, Iran
| | - Majid Azizi
- Department of Periodontics, School of Dentistry, Birjand University of Medical Sciences, Birjand, Iran
| | - Samira Hajisadeghi
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Qom University of Medical Sciences, Qom, Iran
| | - Mojan Madani
- Orthodontics Department, Dental Faculty, Arak UNDUniversity of Medical Sciences, Arak, Iran
| | - Mozhgan Khorami
- Faculty of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sahar Hassantash
- Faculty of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Ghasem Barati
- Department of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
- Stem Cell Technology Research Center, Tehran, Iran
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9
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Wang C, Wang J, Chen S, Li K, Wan S, Yang L. COL10A1 as a Prognostic Biomarker in Association with Immune Infiltration in Prostate Cancer. Curr Cancer Drug Targets 2024; 24:340-353. [PMID: 37592784 DOI: 10.2174/1568009623666230817101809] [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] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/19/2023] [Accepted: 06/06/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND The collagen type X alpha 1 (COL10A1) has recently been found to play an important role in the development and progression of cancer. However, the link between COL10A1 and the tumor immune microenvironment remains understood scantily. METHODS In the current study, the pan-cancer data of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were used to investigate the expression mode, the clinical prognostic and diagnostic value of COL10A1 in different tumors. We used TCGA data to assess the correlations between COL10A1 and clinical symptoms of prostate cancer. The R packages "edgR" and "clusterProfiler" were used for differential expression gene and enrichment analysis of COL10A1. Immunohistochemistry was further employed to corroborate the expression of COL10A1 gene in prostate cancer. After that, we used TIMER to evaluate the pertinence of COL10A1 expression to immune infiltration level in prostate cancer. RESULTS On the whole, COL10A1 was expressed at significantly higher levels in a variety of tumor tissues than in the corresponding normal tissues. Besides, significant correlations with tumor prognosis and relative exactitude in predicting tumors show that COL10A1 may be a probable prognostic and diagnostic biomarker of prostate cancer. In addition, the evidence indicates a significant correlation between COL10A1 and clinical symptoms of prostate cancer. Furthermore, the main molecular functions of COL10A1 included humoral immune response, complement activation, immunoglobulin, regulation of complement activation, and regulation of humoral immune response. Finally, we found that COL10A1 expression is positively correlated with enhanced macrophage and M2 macrophage infiltration in prostate cancer. CONCLUSION The study indicates that COL10A1 might participate in M2 macrophage polarization in prostate cancer. COL10A1 might be an innovative biomarker to evaluate tumor microenvironment immune cell infiltration and prognosis in prostate cancer.
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Affiliation(s)
- Chenyang Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
| | - Jirong Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
| | - Siyu Chen
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
| | - Kunpeng Li
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
| | - Shun Wan
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
| | - Li Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Urology, Lanzhou, China
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Xu S, Liu D, Qin Z, Liang Z, Xie H, Yi B, Wang K, Lin G, Liu R, Yang K, Xu Y, Zhang H. Experimental validation and pan-cancer analysis identified COL10A1 as a novel oncogene and potential therapeutic target in prostate cancer. Aging (Albany NY) 2023; 15:15134-15160. [PMID: 38147021 PMCID: PMC10781495 DOI: 10.18632/aging.205337] [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: 06/02/2023] [Accepted: 11/07/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Type X collagen (COL10) is a homologous trimeric non-fibrillar collagen found in the extracellular matrix of human tissues, and it exhibits a distinctive white appearance. Type X collagen α1 chain (COL10A1) is a specific cleaved fragment of type X collagen. However, the expression, prognostic significance, clinicopathological attributes and immune-related associations of COL10A1 in prostate cancer as well as in pan-cancer contexts remain poorly understood. METHODS Using bioinformatic analysis of data from the most recent databases (TCGA, GTEx and GEO databases), we have extensively elucidated the role played by COL10A1 in terms of its expression patterns, prognostic implications, and immune efficacy across a pan-cancer spectrum. Subsequently, the biological functions of COL10A1 in prostate cancer were elucidated by experimental validation. RESULTS Our findings have confirmed that COL10A1 was highly expressed in most cancers and was associated with poorer prognosis in cancer patients. Immune correlation analysis of COL10A1 in various cancers showed its significant correlation with Tumor mutational burden (TMB), microsatellite instability (MSI) and immune cell infiltration. In addition, knockdown of COL10A1 in prostate cancer resulted in a substantial reduction in the proliferation, migration, and invasive potential of prostate cancer cells. CONCLUSION Our pan-cancer analysis of COL10A1 gene provided novel insights into its pivotal role in cancer initiation, progression, and therapeutic implications, underscoring its potential significance in prognosis and immunotherapeutic interventions for cancer, particularly prostate cancer.
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Affiliation(s)
- Shengxian Xu
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Dongze Liu
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Zheng Qin
- Department of Oncology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Zhengxin Liang
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Hongbo Xie
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Bocun Yi
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Kaibin Wang
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Gaoteng Lin
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Ranlu Liu
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Kuo Yang
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Yong Xu
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Hongtuan Zhang
- Department of Urology, National Key Specialty of Urology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
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Xu Q, Zheng J, Su Z, Chen B, Gu S. COL10A1 promotes tumorigenesis by modulating CD276 in pancreatic adenocarcinoma. BMC Gastroenterol 2023; 23:397. [PMID: 37974070 PMCID: PMC10652574 DOI: 10.1186/s12876-023-03045-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Pancreatic adenocarcinoma (PAAD) is a lethal malignant tumour. Further study is needed to determine the molecular mechanism and identify novel biomarkers of PAAD. METHODS Gene expression data from the GSE62165 microarray were analysed with the online software Morpheus to identify differentially expressed genes (DEGs). The STRING database was used to generate a protein‒protein interaction (PPI) network for these DEGs. Hub genes were identified with Cytoscape. COL10A1 expression in PAAD was analysed via the GEPIA database. COL10A1 expression in pancreatic cancer cell lines was measured by using qRT‒PCR. The LinkedOmics database was utilized to perform survival analysis of pancreatic adenocarcinoma patients grouped based on COL10A1 expression level. CCK-8, wound healing, and Transwell assays were used to study the role of COL10A1 in pancreatic cancer cell viability, migration, and invasion. Differentially expressed genes that were related to COL10A1 in PAAD were analysed via the LinkedOmics portal. After COL10A1 was knocked down, CD276 expression was assessed by western blotting. RESULTS COL10A1 was identified as one of the hub genes in PAAD by bioinformatics analysis of the GSE62165 microarray with Morpheus, the STRING database and Cytoscape. GEPIA revealed elevated expression of COL10A1 in PAAD samples vs. normal samples. COL10A1 expression was also increased in pancreatic cancer cells vs. control cells. Survival analysis of PAAD patients via LinkedOmics revealed that high expression of COL10A1 was associated with a poorer prognosis. Knockdown of COL10A1 inhibited the proliferation, migration, and invasion of cells in functional assays. Furthermore, mechanistic studies indicated that CD276 was a target of COL10A1 and that knockdown of COL10A1 decreased CD276 expression. Overexpression of CD276 in cells reversed COL10A1 knockdown-induced repression of proliferation and migration. CONCLUSIONS Our research suggests that COL10A1 promotes pancreatic adenocarcinoma tumorigenesis by regulating CD276. This study provides new insight into biomarkers and possible targets for pancreatic cancer treatment.
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Affiliation(s)
- Qiaodong Xu
- Department of Hepatobiliary surgery, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, China
| | - Jieting Zheng
- Department of pharmacy, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, China
| | - Zegeng Su
- Department of anesthesiology, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, China
| | - Binlie Chen
- Department of Hepatobiliary surgery, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, China
| | - Songgang Gu
- Department of Hepatobiliary surgery, Cancer Hospital of Shantou University Medical College, No. 7 Raoping Road, Shantou, 515041, China.
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12
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Cai S, Sun Z, Yan Y, Li W, Wu Q. COL10A1 is a potential immunotherapy biomarker associated with immune infiltration and deficient mismatch repair in colon cancer. Immunotherapy 2023; 15:1293-1308. [PMID: 37585671 DOI: 10.2217/imt-2023-0096] [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] [Indexed: 08/18/2023] Open
Abstract
Aim: Our study aimed to identify the role of COL10A1 in colon cancer, including interaction with immune infiltrates and somatic mutations. Methods: COL10A1 expression and prognostic value were assessed. Correlations between COL10A1 and various immune parameters were conducted by bioinformatic analysis. Results: Our study demonstrated that COL10A1 is overexpressed in colon cancer and correlates with poor patient survival. The expression level of COL10A1 is significantly associated with mismatch repair deficiency and immune infiltration. High expression of COL10A1 may confer greater sensitivity to anti-PD-1 treatment in colon cancer patients. Conclusion: COL10A1 is a potential diagnostic biomarker associated with deficient mismatch repair and immune infiltration in colon cancer.
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Affiliation(s)
- Shuo Cai
- Department of Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Zhiwei Sun
- VIP-II Division of Medical Department, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Yan Yan
- Department of Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Weifeng Li
- Department of Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Qi Wu
- Department of Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, 100142, China
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13
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Li S, Pan T, Xu G, Gao Y, Zhang Y, Xu Q, Pan J, Zhou W, Xu J, Li Q, Li Y. Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer. Commun Biol 2023; 6:785. [PMID: 37500893 PMCID: PMC10374645 DOI: 10.1038/s42003-023-05117-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/07/2023] [Indexed: 07/29/2023] Open
Abstract
Determining the diverse cell types in the tumor microenvironment (TME) and their organization into cellular communities, is critical for understanding the biological heterogeneity and therapy of cancer. Here, we deeply immunophenotype the colorectal cancer (CRC) by integrative analysis of large-scale bulk and single cell transcriptome of 2350 patients and 53,137 cells. A rich landscape of 42 cellular states and 7 ecosystems in TMEs is uncovered and extend the previous immune classifications of CRC. Functional pathways and potential transcriptional regulators analysis of cellular states and ecosystems reveal cancer hallmark-related pathways and several critical transcription factors in CRC. High-resolution characterization of the TMEs, we discover the potential utility of cellular states (i.e., Monocytes/Macrophages and CD8 T cell) and ecosystems for prognosis and clinical therapy selection of CRC. Together, our results expand our understanding of cellular organization in TMEs of CRC, with potential implications for the development of biomarkers and precision therapies.
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Affiliation(s)
- Si Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, 150081, China
| | - Tao Pan
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
| | - Gang Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yueying Gao
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, 150081, China
| | - Ya Zhang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
| | - Qi Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
| | - Jiwei Pan
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China
| | - Weiwei Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| | - Qifu Li
- The First Affiliated Hospital, Hainan Medical University, Haikou, 571199, China.
| | - Yongsheng Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, 571199, China.
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, 150081, China.
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Ali R, Sultan A, Ishrat R, Haque S, Khan NJ, Prieto MA. Identification of New Key Genes and Their Association with Breast Cancer Occurrence and Poor Survival Using In Silico and In Vitro Methods. Biomedicines 2023; 11:biomedicines11051271. [PMID: 37238942 DOI: 10.3390/biomedicines11051271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 03/07/2023] [Indexed: 05/28/2023] Open
Abstract
Breast cancer is one of the most prevalent types of cancer diagnosed globally and continues to have a significant impact on the global number of cancer deaths. Despite all efforts of epidemiological and experimental research, therapeutic concepts in cancer are still unsatisfactory. Gene expression datasets are widely used to discover the new biomarkers and molecular therapeutic targets in diseases. In the present study, we analyzed four datasets using R packages with accession number GSE29044, GSE42568, GSE89116, and GSE109169 retrieved from NCBI-GEO and differential expressed genes (DEGs) were identified. Protein-protein interaction (PPI) network was constructed to screen the key genes. Subsequently, the GO function and KEGG pathways were analyzed to determine the biological function of key genes. Expression profile of key genes was validated in MCF-7 and MDA-MB-231 human breast cancer cell lines using qRT-PCR. Overall expression level and stage wise expression pattern of key genes was determined by GEPIA. The bc-GenExMiner was used to compare expression level of genes among groups of patients with respect to age factor. OncoLnc was used to analyze the effect of expression levels of LAMA2, TIMP4, and TMTC1 on the survival of breast cancer patients. We identified nine key genes, of which COL11A1, MMP11, and COL10A1 were found up-regulated and PCOLCE2, LAMA2, TMTC1, ADAMTS5, TIMP4, and RSPO3 were found down-regulated. Similar expression pattern of seven among nine genes (except ADAMTS5 and RSPO3) was observed in MCF-7 and MDA-MB-231 cells. Further, we found that LAMA2, TMTC1, and TIMP4 were significantly expressed among different age groups of patients. LAMA2 and TIMP4 were found significantly associated and TMTC1 was found less correlated with breast cancer occurrence. We found that the expression level of LAMA2, TIMP4, and TMTC1 was abnormal in all TCGA tumors and significantly associated with poor survival.
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Affiliation(s)
- Rafat Ali
- Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Armiya Sultan
- Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Romana Ishrat
- Center for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan 45142, Saudi Arabia
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut P.O. Box 36, Lebanon
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman P.O. Box 346, United Arab Emirates
| | - Nida Jamil Khan
- Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Miguel Angel Prieto
- Nutrition and Bromatology Group, Department of Analytical Chemistry and Food Science, Faculty of Science, Universidade de Vigo, E32004 Ourense, Spain
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15
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Gordon JAR, Evans MF, Ghule PN, Lee K, Vacek P, Sprague BL, Weaver DL, Stein GS, Stein JL. Identification of molecularly unique tumor-associated mesenchymal stromal cells in breast cancer patients. PLoS One 2023; 18:e0282473. [PMID: 36940196 PMCID: PMC10027225 DOI: 10.1371/journal.pone.0282473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/16/2023] [Indexed: 03/21/2023] Open
Abstract
The tumor microenvironment is a complex mixture of cell types that bi-directionally interact and influence tumor initiation, progression, recurrence, and patient survival. Mesenchymal stromal cells (MSCs) of the tumor microenvironment engage in crosstalk with cancer cells to mediate epigenetic control of gene expression. We identified CD90+ MSCs residing in the tumor microenvironment of patients with invasive breast cancer that exhibit a unique gene expression signature. Single-cell transcriptional analysis of these MSCs in tumor-associated stroma identified a distinct subpopulation characterized by increased expression of genes functionally related to extracellular matrix signaling. Blocking the TGFβ pathway reveals that these cells directly contribute to cancer cell proliferation. Our findings provide novel insight into communication between breast cancer cells and MSCs that are consistent with an epithelial to mesenchymal transition and acquisition of competency for compromised control of proliferation, mobility, motility, and phenotype.
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Affiliation(s)
- Jonathan A. R. Gordon
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Mark F. Evans
- Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Prachi N. Ghule
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Kyra Lee
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Pamela Vacek
- Department of Surgery, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Brian L. Sprague
- Department of Surgery, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Donald L. Weaver
- Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Gary S. Stein
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
| | - Janet L. Stein
- Department of Biochemistry, Larner College of Medicine at the University of Vermont, Burlington, VT, United States of America
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16
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Chen X, Han M, Li Y, Li X, Zhang J, Zhu Y. Identification of functional gene modules by integrating multi-omics data and known molecular interactions. Front Genet 2023; 14:1082032. [PMID: 36760999 PMCID: PMC9902936 DOI: 10.3389/fgene.2023.1082032] [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: 10/27/2022] [Accepted: 01/11/2023] [Indexed: 01/25/2023] Open
Abstract
Multi-omics data integration has emerged as a promising approach to identify patient subgroups. However, in terms of grouping genes (or gene products) into co-expression modules, data integration methods suffer from two main drawbacks. First, most existing methods only consider genes or samples measured in all different datasets. Second, known molecular interactions (e.g., transcriptional regulatory interactions, protein-protein interactions and biological pathways) cannot be utilized to assist in module detection. Herein, we present a novel data integration framework, Correlation-based Local Approximation of Membership (CLAM), which provides two methodological innovations to address these limitations: 1) constructing a trans-omics neighborhood matrix by integrating multi-omics datasets and known molecular interactions, and 2) using a local approximation procedure to define gene modules from the matrix. Applying Correlation-based Local Approximation of Membership to human colorectal cancer (CRC) and mouse B-cell differentiation multi-omics data obtained from The Cancer Genome Atlas (TCGA), Clinical Proteomics Tumor Analysis Consortium (CPTAC), Gene Expression Omnibus (GEO) and ProteomeXchange database, we demonstrated its superior ability to recover biologically relevant modules and gene ontology (GO) terms. Further investigation of the colorectal cancer modules revealed numerous transcription factors and KEGG pathways that played crucial roles in colorectal cancer progression. Module-based survival analysis constructed four survival-related networks in which pairwise gene correlations were significantly correlated with colorectal cancer patient survival. Overall, the series of evaluations demonstrated the great potential of Correlation-based Local Approximation of Membership for identifying modular biomarkers for complex diseases. We implemented Correlation-based Local Approximation of Membership as a user-friendly application available at https://github.com/free1234hm/CLAM.
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Affiliation(s)
- Xiaoqing Chen
- Basic Medical School, Anhui Medical University, Hefei, China,National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, China
| | - Mingfei Han
- National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, China
| | - Yingxing Li
- Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiao Li
- National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, China
| | - Jiaqi Zhang
- National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, China
| | - Yunping Zhu
- Basic Medical School, Anhui Medical University, Hefei, China,National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, China,*Correspondence: Yunping Zhu,
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17
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Filippi A, Mocanu MM. Mining TCGA Database for Genes with Prognostic Value in Breast Cancer. Int J Mol Sci 2023; 24:1622. [PMID: 36675137 PMCID: PMC9862022 DOI: 10.3390/ijms24021622] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/06/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
The aim of the study was to use transcriptomics data to identify genes associated with advanced/aggressive breast cancer and their effect on survival outcomes. We used the publicly available The Cancer Genome Atlas (TCGA) database to obtain RNA sequence data from patients with less than five years survival (Poor Prognosis, n = 101), patients with greater than five years survival (Good Prognosis, n = 200), as well as unpaired normal tissue data (normal, n = 105). The data analyses performed included differential expression between groups and selection of subsets of genes, gene ontology, cell enrichment analysis, and survival analyses. Gene ontology results showed significantly reduced enrichment in gene sets related to tumor immune microenvironment in Poor Prognosis and cell enrichment analysis confirmed significantly reduced numbers of macrophages M1, CD8 T cells, plasma cells and dendritic cells in samples in the Poor Prognosis samples compared with Good Prognosis. A subset of 742 genes derived from differential expression analysis as well as genes coding for immune checkpoint molecules was evaluated for their effect on overall survival. In conclusion, this study may contribute to the better understanding of breast cancer transcriptomics and provide possible targets for further research and eventual therapeutic interventions.
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Affiliation(s)
| | - Maria-Magdalena Mocanu
- Department of Biochemistry and Biophysics, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
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18
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Jadid MFS, Jafari-Gharabaghlou D, Bahrami MK, Bonabi E, Zarghami N. Enhanced anti-cancer effect of curcumin loaded-niosomal nanoparticles in combination with heat-killed Saccharomyces cerevisiae against human colon cancer cells. J Drug Deliv Sci Technol 2023. [DOI: 10.1016/j.jddst.2023.104167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Shuwen H, Yangyanqiu W, Jian C, Boyang H, Gong C, Jing Z. Synergistic effect of sodium butyrate and oxaliplatin on colorectal cancer. Transl Oncol 2022; 27:101598. [PMID: 36512976 PMCID: PMC9763735 DOI: 10.1016/j.tranon.2022.101598] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 10/17/2022] [Accepted: 11/09/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Oxaliplatin (OXA) is a chemotherapy agent commonly used in the treatment of colorectal cancer (CRC). Sodium butyrate (NaB) has an antitumor effect. METHODS In total, 30 patients in stage III who completed 8 cycles of chemotherapy regimens were recruited for this study. The patients were divided into good and bad groups based on the chemotherapy efficacy. Gas chromatography-mass spectrometry (GC/MS) was used to detect microbial metabolites in stool samples from CRC patients. Cell counting kit-8 (CCK-8), Annexin-V APC/7-AAD double staining, Transwell assays, scratch-wound assays, and EdU assays were used to detect cell proliferation, apoptosis, invasion and migration, respectively. Fluoroelectron microscopy was used to observe the cell structures. To verify the inhibitory effect of NaB and OXA at animal level, a subcutaneous transplanted tumor model was established. Finally, 16S sequencing technology was used to detect intestinal bacteria. GC-MS was used to detect metabolites in mouse stools. RESULTS NaB was a differential metabolite that affected the efficacy of OXA. NAB and oxaliplatin can synergically inhibit cell proliferation, migration and invasion, and induce cell apoptosis. Animal experiments confirmed the inhibitory effect of oxaliplatin and sodium butyrate on tumor in mice. In addition, the intestinal microbe detection and microbial metabolite detection in fecal samples from mice showed significant differences between butyrate-producing bacteria and NaB. CONCLUSION NaB and OXA can synergistically inhibit the proliferation, invasion and metastasis of CRC cells and promote the apoptosis of CRC cells. NaB, as an OXA synergist, has the potential to become a new clinical adjuvant in CRC chemotherapy.
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Affiliation(s)
- Han Shuwen
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang Province, PR China,Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Zhejiang Province, PR China
| | - Wang Yangyanqiu
- Huzhou Hospital of Zhejiang University, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang Province, PR China
| | - Chu Jian
- Zhejiang Chinese Medical University, Zhejiang Province, PR China
| | - Hu Boyang
- Zhejiang Chinese Medical University, Zhejiang Province, PR China
| | - Chen Gong
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang Province, PR China
| | - Zhuang Jing
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang Province, PR China,Corresponding author at: No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, PR China.
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20
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Wen Z, Sun J, Luo J, Fu Y, Qiu Y, Li Y, Xu Y, Wu H, Zhang Q. COL10A1-DDR2 axis promotes the progression of pancreatic cancer by regulating MEK/ERK signal transduction. Front Oncol 2022; 12:1049345. [PMID: 36530986 PMCID: PMC9750160 DOI: 10.3389/fonc.2022.1049345] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/10/2022] [Indexed: 09/16/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignant tumors with a poor prognosis. Type X collagen α 1 chain (COL10A1), a member of the collagen family, is a gene associated with the progression of a variety of human tumors, but the specific function and molecular mechanism of COL10A1 in pancreatic cancer remain unclear. Our study found that COL10A1 is highly expressed in pancreatic cancer cells and tissues, and its high expression is related to poor prognosis and some clinicopathological features, such as tumor size and differentiation. Biological functional experiments showed that overexpression of COL10A1 enhanced the proliferation and migration of PDAC cells. Interestingly, discoid protein domain receptor 2 (DDR2), the receptor of COL10A1, is regulated by COL10A1. We found that the COL10A1-DDR2 axis activates the mitogen-activated protein kinase (MEK)/extracellular signal-regulated kinase (ERK) pathway, which leads to epithelial-mesenchymal transformation (EMT) and accelerates the progression of pancreatic cancer. In summary, COL10A1 regulates PDAC cell proliferation and MEK/ERK signaling pathways by binding to DDR2 to promote migration, invasion and EMT. Our study suggested that COL10A1 might be a critical factor in promoting PDAC progression. More research is needed to confirm COL10A1 as a potential biomarker and therapeutic target for PDAC.
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Affiliation(s)
- Zhihui Wen
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingbo Sun
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Junjie Luo
- Department of General Surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Yun Fu
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yue Qiu
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yanyan Li
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yangwei Xu
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Hongmei Wu
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Qingling Zhang
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
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21
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Yang BY, Sakharkar MK. Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer. Int J Mol Sci 2022; 23:ijms232012463. [PMID: 36293321 PMCID: PMC9604343 DOI: 10.3390/ijms232012463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/14/2022] [Accepted: 10/16/2022] [Indexed: 11/16/2022] Open
Abstract
Colorectal cancer (CRC) is a leading cause of death from cancer in Canada. Early detection of CRC remains crucial in managing disease prognosis and improving patient survival. It can also facilitate prevention, screening, and treatment before the disease progresses to a chronic stage. In this study, we developed a strategy for identifying colon cancer biomarkers from both gene expression and gene pair correlation. Using the RNA-Seq dataset TCGA-COAD, a panel of 71 genes, including the 20 most upregulated genes, 20 most downregulated genes and 31 genes involved in the most significantly altered gene pairs, were selected as potential biomarkers for colon cancer. This signature set of genes could be used for early diagnosis. Furthermore, this strategy could be applied to other types of cancer.
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Affiliation(s)
- Bonnie Yang Yang
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada
| | - Meena Kishore Sakharkar
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
- Correspondence:
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22
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Zhou W, Li Y, Gu D, Xu J, Wang R, Wang H, Liu C. High expression COL10A1 promotes breast cancer progression and predicts poor prognosis. Heliyon 2022; 8:e11083. [PMID: 36281404 PMCID: PMC9586897 DOI: 10.1016/j.heliyon.2022.e11083] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/28/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
Background As a common malignant disease in females, breast cancer (BCa) causes increasing numbers of cancer-related death. Collagen X alpha 1 chain (COL10A1) plays a critical role in the oncogenesis and progression of malignant tumors. However, a systematic analysis of COL10A1 in BCa has not been conducted. Methods The COL10A1 expression level and prognostic value in BCa were defined through the Cancer Genome Atlas (TCGA) as well as the Kaplan-Meier plotter data respectively. The expression pattern of COL10A1 was subsequently confirmed on tissue microarray (TMA) by immunochemistry (IHC) staining. Moreover, cellular functional assays which aimed to evaluate cell proliferation, migration, invasion, and apoptosis, were conducted to investigate the oncogenic activity of COL10A1 in BCa. Then, Tumor Immune Estimation Resource (TIMER) was adopted to determine the association between COL10A1 expression and immune cell infiltration. Results Bioinformatics analysis revealed that COL10A1 was significantly overexpressed and had notable prognostic value, especially for distant metastasis-free survival (DMFS) in BCa. Moreover, IHC analysis of 140 BCa tissues on TMA chips exhibited the overexpression of COL10A1 was correlated to advanced clinical stage, poor overall survival (OS), and worse recurrence-free survival (RFS). Besides, knockdown of COL10A1 remarkably suppressed cell proliferation, migration, and invasion in BCa cells, and notably promoted cell apoptosis as well. Furthermore, COL10A1 was positively associated with immune cell infiltration including B cell, CD8+ T cell, CD4+ T cell, macrophage, neutrophil, and dendritic cell. Conclusion The results revealed that COL10A1 is a novel oncogene and could serve as a potential prognostic biomarker in BCa. Besides, the downregulation of COL10A1 could inhibit BCa progression, which could be a potential target for BCa therapy.
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Necula L, Matei L, Dragu D, Pitica I, Neagu A, Bleotu C, Diaconu CC, Chivu-Economescu M. Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer. Int J Mol Sci 2022; 23:ijms232012415. [PMID: 36293285 PMCID: PMC9604126 DOI: 10.3390/ijms232012415] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/07/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Despite advances in cancer detection and therapy, it has been estimated that the incidence of cancers will increase, while the mortality rate will continue to remain high, a fact explained by the large number of patients diagnosed in advanced stages when therapy is often useless. Therefore, it is necessary to invest knowledge and resources in the development of new non-invasive biomarkers for the early detection of cancer and new therapeutic targets for better health management. In this review, we provided an overview on the collagen family as promising biomarkers and on how they may be exploited as therapeutic targets in cancer. The collagen family tridimensional structure, organization, and functions are very complex, being in a tight relationship with the extracellular matrix, tumor, and immune microenvironment. Moreover, accumulating evidence underlines the role of collagens in promoting tumor growth and creating a permissive tumor microenvironment for metastatic dissemination. Knowledge of the molecular basis of these interactions may help in cancer diagnosis and prognosis, in overcoming chemoresistance, and in providing new targets for cancer therapies.
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Affiliation(s)
- Laura Necula
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
- Faculty of Medicine, Titu Maiorescu University, 040441 Bucharest, Romania
- Correspondence: ; Tel.: +40-21-324-2592
| | - Lilia Matei
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Denisa Dragu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Ioana Pitica
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Ana Neagu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Coralia Bleotu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Carmen C. Diaconu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Mihaela Chivu-Economescu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
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High Expression of COL10A1 Is an Independent Predictive Poor Prognostic Biomarker and Associated with Immune Infiltration in Advanced Gastric Cancer Microenvironment. JOURNAL OF ONCOLOGY 2022; 2022:1463316. [PMID: 36276283 PMCID: PMC9584694 DOI: 10.1155/2022/1463316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 11/17/2022]
Abstract
Medical technology has become more and more sophisticated recently, which, however, fails to contribute to a better prognosis for patients suffering advanced gastric cancer (GC). Hence, new biomarkers specific to GC diagnosis and prognosis shall be identified urgently. This study screened differentially expressed genes (DEGs) between 375 GC samples and 32 paracancer tissue samples from TCGA datasets. The expression of Collagen type X alpha 1 (COL10A1) in GC was analyzed. The chi-square test assisted in analyzing the relevance of COL10A1 to the clinicopathologic characteristics. The Kaplan-Meier method helped to assess the survival curves and log-rank tests assisted in the examination of the differences. The Cox proportional hazard regression model served for analyzing the risk factors for GC. Then, we developed a nomogram that contained the COL10A1 expression and clinical information. Finally, how COL10A1 expression was associated with the immune infiltration was also evaluated. In this study, 7179 upregulated and 3771 downregulated genes were identified. Among them, COL10A1 expression was distinctly increased in GC specimens compared with nontumor specimens. High COL10A1 expression exhibited an obvious relation to tumor T and pathologic stage. ROC assays confirmed the diagnostic value of COL10A1 expression in screening GC samples from normal samples. Survival data displayed that patients with high COL10A1 expression exhibited a shorter OS and DSS than those with low COL10A1 expression. We obtained a predictive nomogram, which could better predict the COL10A1 expression by virtue of discrimination and calibration. The prognostic value of COL10A1 expression was further confirmed in GSE84426 datasets. Immune assays revealed that COL10A1 expression was associated with tumor-filtrating immune cells, like CD8 T cells, cytotoxic cells, DC, eosinophils, iDC, macrophages, mast cells, NK CD56dim cells, NK cells, pDC, T helper cells, Tem, Th1 cells, Th17 cells, and Treg. Overall, we firstly proved that COL10A1 may be a novel and valuable prognostic and diagnostic factor for GC patients. In addition, COL10A1 has potential to be an immune indicator in GC.
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Cancer-Associated Fibroblasts Hinder Lung Squamous Cell Carcinoma Oxidative Stress-Induced Apoptosis via METTL3 Mediated m6A Methylation of COL10A1. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:4320809. [PMID: 36246404 PMCID: PMC9560815 DOI: 10.1155/2022/4320809] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/08/2022] [Accepted: 08/28/2022] [Indexed: 11/18/2022]
Abstract
Background. Cancer-associated fibroblasts (CAFs) within the tumor microenvironment are key players in tumorigenesis and tumor development. Nevertheless, the regulatory mechanisms of CAFs on lung squamous cell carcinoma- (LUSC-) associated remain poorly elucidated. Methods. The microarray dataset GSE22874, containing 30 specimens of primary culture of normal fibroblasts (NFs) and 8 specimens of cancer-associated fibroblasts (CAFs) samples derived from LUSC, was retrieved from the Gene Expression Omnibus (GEO) database and then calculated by using the R language (limma package) to identify differentially expressed genes (DEGs). CAF-conditioned medium (CAF-CM) was collected and used to culture LUSC cells, followed by assessment of cell proliferation, apoptosis, and oxidative stress levels by using CCK-8, annexin V-FITC/PI double staining and ELISA assays. Subsequently, COL10A1 was knocked down in CAFs to assess the role of COL10A1 in CAF regulation of LUSC behavior. Bioinformatics online analysis and MeRIP were applied to predict and test the m6A modification of COL10A1 mRNA and the regulatory relationship with METTL3. Rescue experiments were next performed to explore the effects of METTL3 and COL10A1 in CAFs on LUSC cell proliferation, apoptosis, and oxidative stress. LUSC tumor cells with or without (COL10A1-silenced) CAFs were subcutaneously inoculated in nude mice to evaluate the effect of COL10A1 in CAFs on LUSC tumor growth. Results. Elevated expression of COL10A1 was found in LUSC-derived CAFs by GSE22874 dataset analysis. We discovered that COL10A1 and METTL3 was expressed in both LUSC cells and matched CAFs, while COL10A1 expression was prominently higher in CAFs than in LUSC cells. CAF-CM memorably encouraged LUSC cell proliferation and suppressed apoptosis-induced oxidative stress, which was reversed by interfering with COL10A1 expression in CAFs, suggesting that COL10A1 might be secreted by CAFs into the culture medium to exert its effects inside LUSC cells. Global m6A modification was decreased in METTL3 knocked down CAFs. M6A modification, expression levels, and stability of COL10A1 mRNA were impaired upon METTL3 knockdown in CAFs. Overexpression of COL10A1 in CAFs partially reversed the effect of METTL3 knockdown on the malignant behavior of LUSC cells. In vivo studies confirmed that CAFs accelerated LUSC tumor growth, and this effect was counteracted by COL10A1 silencing. Conclusions. COL10A1 secreted by CAFs could facilitate LUSC cell proliferation and repress apoptosis-induced oxidative stress, and the mechanism was due to elevated expression mediated by METTL3 promoting its mRNA m6A modification, thereby accelerating tumor growth.
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Kahlert UD, Shi W, Strecker M, Scherpinski LA, Wartmann T, Dölling M, Perrakis A, Relja B, Mengoni M, Braun A, Croner RS. COL10A1 allows stratification of invasiveness of colon cancer and associates to extracellular matrix and immune cell enrichment in the tumor parenchyma. Front Oncol 2022; 12:1007514. [PMID: 36267978 PMCID: PMC9577326 DOI: 10.3389/fonc.2022.1007514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/06/2022] [Indexed: 11/25/2022] Open
Abstract
Background Treatment options for metastatic colorectal cancer (CRC) are mostly ineffective. We present new evidence that tumor tissue collagen type X alpha 1 (COL10A1) is a relevant candidate biomarker to improve this dilemma. Methods Several public databases had been screened to observe COL10A1 expression in transcriptome levels with cell lines and tissues. Protein interactions and alignment to changes in clinical parameters and immune cell invasion were performed, too. We also used algorithms to build a novel COL10A1-related immunomodulator signature. Various wet-lab experiments were conducted to quantify COL10A1 protein and transcript expression levels in disease and control cell models. Results COL10A1 mRNA levels in tumor material is clinical and molecular prognostic, featuring upregulation compared to non-cancer tissue, increase with histomorphological malignancy grading of the tumor, elevation in tumors that invade perineural areas, or lymph node invasion. Transcriptomic alignment noted a strong positive correlation of COL10A1 with transcriptomic signature of cancer-associated fibroblasts (CAFs) and populations of the immune compartment, namely, B cells and macrophages. We verified those findings in functional assays showing that COL10A1 are decreased in CRC cells compared to fibroblasts, with strongest signal in the cell supernatant of the cells. Conclusion COL10A1 abundance in CRC tissue predicts metastatic and immunogenic properties of the disease. COL10A1 transcription may mediate tumor cell interaction with its stromal microenvironment.
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Affiliation(s)
- Ulf D. Kahlert
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Wenjie Shi
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | - Marco Strecker
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Lorenz A. Scherpinski
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Thomas Wartmann
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Maximilian Dölling
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Aristotelis Perrakis
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Borna Relja
- Experimental Radiology, University Clinic of Radiology and Nuclear Medicine, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Miriam Mengoni
- University Clinic for Dermatology, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Andreas Braun
- University Clinic for Dermatology, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
| | - Roland S. Croner
- University Clinic for General, Visceral, Vascular and Transplantation Surgery, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
- *Correspondence: Roland S. Croner,
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Kumar R, Taylor JC, Jain A, Jung SY, Garza V, Xu Y. Modulation of the extracellular matrix by Streptococcus gallolyticus subsp. gallolyticus and importance in cell proliferation. PLoS Pathog 2022; 18:e1010894. [PMID: 36191045 PMCID: PMC9560553 DOI: 10.1371/journal.ppat.1010894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 10/13/2022] [Accepted: 09/22/2022] [Indexed: 11/15/2022] Open
Abstract
Streptococcus gallolyticus subspecies gallolyticus (Sgg) has a strong clinical association with colorectal cancer (CRC) and actively promotes the development of colon tumors. Previous work showed that this organism stimulates CRC cells proliferation and tumor growth. However, the molecular mechanisms underlying these activities are not well understood. Here, we found that Sgg upregulates the expression of several type of collagens in HT29 and HCT116 cells, with type VI collagen (ColVI) being the highest upregulated type. Knockdown of ColVI abolished the ability of Sgg to induce cell proliferation and reduced the adherence of Sgg to CRC cells. The extracellular matrix (ECM) is an important regulator of cell proliferation. Therefore, we further examined the role of decellularized matrix (dc-matrix), which is free of live bacteria or cells, in Sgg-induced cell proliferation. Dc-matrix prepared from Sgg-treated cells showed a significantly higher pro-proliferative activity than that from untreated cells or cells treated with control bacteria. On the other hand, dc-matrix from Sgg-treated ColVI knockdown cells showed no difference in the capacity to support cell proliferation compared to that from untreated ColVI knockdown cells, suggesting that the ECM by itself is a mediator of Sgg-induced cell proliferation. Furthermore, Sgg treatment of CRC cells but not ColVI knockdown CRC cells resulted in significantly larger tumors in vivo, suggesting that ColVI is important for Sgg to promote tumor growth in vivo. These results highlight a dynamic bidirectional interplay between Sgg and the ECM, where Sgg upregulates collagen expression. The Sgg-modified ECM in turn affects the ability of Sgg to adhere to host cells and more importantly, acts as a mediator for Sgg-induced CRC cell proliferation. Taken together, our results reveal a novel mechanism in which Sgg stimulates CRC proliferation through modulation of the ECM.
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Affiliation(s)
- Ritesh Kumar
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - John Culver Taylor
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - Antrix Jain
- MS Proteomics Core, Baylor College of Medicine, Houston, Texas, United States of America
| | - Sung Yun Jung
- Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, United States of America
| | - Victor Garza
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - Yi Xu
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
- Department of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M Health Science Center, College Station, Texas, United States of America
- Department of Microbiology and Molecular Genetics, McGovern Medical School, UT Health, Houston, Texas, United States of America
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Liu Q, Zhao H, Guo Y, Zhang K, Shang F, Liu T. Bioinformatics-Based Analysis: Noncoding RNA-Mediated COL10A1 Is Associated with Poor Prognosis and Immune Cell Infiltration in Pancreatic Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:7904982. [PMID: 36105715 PMCID: PMC9467764 DOI: 10.1155/2022/7904982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022]
Abstract
Background Collagen type X alpha 1 (COL10A1) is a structural component of the extracellular matrix that is aberrantly expressed in a variety of cancer tissues. However, its role in pancreatic cancer progression is not well understood. Methods The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Gene Expression Profiling Interaction Analysis (GEPIA) data were employed to explore the expression of COL10A1 in normal and tumor tissues and its prognostic value in pancreatic adenocarcinoma. The clinical data of pancreatic cancer in TCGA were used to explore the relationship between COL10A1 and clinical features. Genes coexpressed with COL10A1 were explored using multiple databases and analyzed for functional enrichment. In addition, the lncRNA/miRNA/COL10A1 axis that may be involved in COL10A1 regulation in pancreatic cancer was explored by constructing a competitive endogenous RNA (ceRNA) regulatory axis. Finally, COL10A1 was analyzed for correlation with immune cell infiltration and various immune checkpoint molecules in pancreatic cancer. Results It was found that the expression of COL10A1 was significantly increased in pancreatic cancer tissues. High expression of COL10A1 was related to the clinicopathological characteristics and the worse prognosis of pancreatic cancer patients. The TUG1/miR-144-3p/COL10A1 axis was identified as the most likely upstream noncoding RNA pathway for COL10A1 in pancreatic cancer. Besides, in pancreatic adenocarcinoma, the expression level of COL10A1 showed a significant positive correlation with tumor immune cell infiltration, biomarkers of immune cells, and expression of immune checkpoint molecules. Conclusion COL10A1 is an early diagnostic marker, and its high expression correlates with immune infiltration in pancreatic cancer. The TUG1/miR-144-3p/COL10A1 axis was identified as the most likely upstream noncoding RNA pathway for COL10A1 in pancreatic cancer.
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Affiliation(s)
- Qi Liu
- Department of Colorectal Surgery, the Second Hospital of Jilin University, Changchun 130041, China
| | - Hongyu Zhao
- Department of Gastroenterology and Center of Digestive Endoscopy, the Second Hospital of Jilin University, Changchun 130041, China
| | - Yu Guo
- Department of Colorectal Surgery, the Second Hospital of Jilin University, Changchun 130041, China
| | - Kai Zhang
- Department of Colorectal Surgery, the Second Hospital of Jilin University, Changchun 130041, China
| | - Fengjia Shang
- Department of Colorectal Surgery, the Second Hospital of Jilin University, Changchun 130041, China
| | - Tongjun Liu
- Department of Colorectal Surgery, the Second Hospital of Jilin University, Changchun 130041, China
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Zhang M, Jin M, Gao Z, Yu W, Zhang W. High COL10A1 expression potentially contributes to poor outcomes in gastric cancer with the help of LEF1 and Wnt2. J Clin Lab Anal 2022; 36:e24612. [PMID: 35929139 PMCID: PMC9459277 DOI: 10.1002/jcla.24612] [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: 03/24/2022] [Revised: 05/15/2022] [Accepted: 06/13/2022] [Indexed: 11/14/2022] Open
Abstract
Background COL10A1 is a secreted, short‐chain collagen found in several types of cancer. Studies have shown that COL10A1 aberrant expression is considered an oncogenic factor. However, its underlying mechanisms and regulation of gastric cancer remain undefined. Methods The data on the expression of COL10A1, clinicopathological characteristics, and outcome of patients with GC were obtained from The Cancer Genome Atlas. The ALGGEN‐PROMO database defined the related transcription factors. Quantitative real‐time reverse transcription‐polymerase chain reaction and western blotting analysis were used to identify the differential expression levels of COL10A1 and related transcription factors. Results We found that high COL10A1 expression is an independent risk factor for gastric cancer. Upregulation of LEF1 and Wnt2 was also observed in gastric cancer, suggesting a potential correlation between LEF1/COL10A1 regulation in the Wnt2 signaling pathway. Conclusion High COL10A1 expression may contribute to poor outcomes via upregulation of LEF1 and Wnt2 in gastric cancer.
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Affiliation(s)
- Miaozun Zhang
- Department of Gastrointestinal Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Ming Jin
- Department of Radiation Oncology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Zhiqiang Gao
- Department of Gastroenterology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Weiming Yu
- Department of Gastrointestinal Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Wei Zhang
- Department of Gastroenterology, The HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China
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Sakoguchi A, Arase H. Mechanisms for Host Immune Evasion Mediated by Plasmodium falciparum-Infected Erythrocyte Surface Antigens. Front Immunol 2022; 13:901864. [PMID: 35784341 PMCID: PMC9240312 DOI: 10.3389/fimmu.2022.901864] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/10/2022] [Indexed: 12/20/2022] Open
Abstract
Plasmodium falciparum infection causes the most severe form of malaria. It has been hypothesized that P. falciparum directly suppresses host immune responses because sufficient acquired immunity is often not induced even by repeated P. falciparum infections in malaria-endemic areas. It is known that many kinds of P. falciparum-derived proteins are expressed on the surface of P. falciparum-infected erythrocytes (IEs), and these proteins have long been thought to be a key to the elucidation of the host immune evasion mechanisms. Our recent studies have revealed that the P. falciparum-derived erythrocyte surface antigen, RIFIN, the largest multiple gene family protein in the P. falciparum genome, suppresses host immune cell activation through direct interaction with human inhibitory immune receptors. In this review, we will discuss the molecular mechanisms for host immune evasion by P. falciparum-infected erythrocyte surface antigens. In addition, we will discuss the recently identified host immune response to P. falciparum using specialized antibodies that target host-P. falciparum-derived molecule interactions.
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Affiliation(s)
- Akihito Sakoguchi
- Department of Molecular Protozoology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hisashi Arase
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
- Laboratory of Immunochemistry, WPI Immunology Frontier Research Center, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
- *Correspondence: Hisashi Arase,
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Sun Y, Ling J, Liu L. Collagen type X alpha 1 promotes proliferation, invasion and epithelial-mesenchymal transition of cervical cancer through activation of TGF-β/Smad signaling. Physiol Int 2022; 109:204-214. [PMID: 35587388 DOI: 10.1556/2060.2022.00006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/21/2022] [Accepted: 03/11/2022] [Indexed: 02/06/2023]
Abstract
Background Collagen type X alpha 1 (COL10A1) belongs to the collagen family and constitutes the main component of the interstitial matrix. COL10A1 was found to be dysregulated in various cancers, and to participate in tumorigenesis. However, the role of COL10A1 in cervical cancer (CC) remains unclear. Methods Expression of COL10A1 in CC cells and tissues was detected by western blot and qRT-PCR. CC cells were transfected with pcDNA-COL10A1 or si-COL10A1, and the effect of COL10A1 on cell proliferation of CC was assessed by MTT and colony formation assays. Cell metastasis was detected by wound healing and transwell assays. Western blot was applied to evaluate epithelial-mesenchymal transition. Results COL10A1 was significantly elevated in CC tissues and cells (P < 0.001). Over-expression of COL10A1 increased cell viability of CC (P < 0.001), and enhanced the number of colonies (P < 0.001). However, knockdown of COL10A1 reduced the cell proliferation of CC (P < 0.001). Over-expression of COL10A1 also promoted cell migration (P < 0.001) and invasion (P < 0.001) of CC, whereas silencing of COL10A1 suppressed cell metastasis (P < 0.001). Protein level of E-cadherin in CC was reduced (P < 0.05), whereas N-cadherin and vimentin were enhanced by COL10A1 over-expression (P < 0.001). Silencing of COL10A1 reduced the protein level of TGF-β1 (P < 0.01), and down-regulated the phosphorylation of Smad2 and Smad3 in CC (P < 0.001). Conclusion Down-regulation of COL10A1 suppressed cell proliferation, metastasis, and epithelial-mesenchymal transition of CC through inactivation of TGF-β/Smad signaling.
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Affiliation(s)
- Yangyan Sun
- 1 Department of Gynecology, Jiangyin People's Hospital, Wuxi, Jiangsu Province, 214400, China
| | - Jing Ling
- 1 Department of Gynecology, Jiangyin People's Hospital, Wuxi, Jiangsu Province, 214400, China
| | - Lu Liu
- 2 Department of Pediatrics, Wuhan Third Hospital, Wuhan, Hubei Province, 432500, China
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Chivu-Economescu M, Necula LG, Matei L, Dragu D, Bleotu C, Sorop A, Herlea V, Dima S, Popescu I, Diaconu CC. Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis. Int J Mol Sci 2022; 23:ijms23063214. [PMID: 35328635 PMCID: PMC8950589 DOI: 10.3390/ijms23063214] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 02/05/2023] Open
Abstract
Gastric cancer has remained in the top five cancers for over ten years, both in terms of incidence and mortality due to the shortage of biomarkers for disease follow-up and effective therapies. Aiming to fill this gap, we performed a bioinformatics assessment on our data and two additional GEO microarray profiles, followed by a deep analysis of the 40 differentially expressed genes identified. PPI network analysis and MCODE plug-in pointed out nine upregulated hub genes coding for proteins from the collagen family (COL12A1, COL5A2, and COL10A1) or involved in the assembly (BGN) or degradation of collagens (CTHRC1), and also associated with cell adhesion (THBS2 and SPP1) and extracellular matrix degradation (FAP, SULF1). Those genes were highly upregulated at the mRNA and protein level, the increase being correlated with pathological T stages. The high expression of BGN (p = 8 × 10−12), THBS2 (p = 1.2 × 10−6), CTHRC1 (p = 1.1 × 10−4), SULF1 (p = 3.8 × 10−4), COL5A1 (p = 1.3 × 10−4), COL10A1 (p = 5.7 × 10−4), COL12A1 (p = 2 × 10−3) correlated with poor overall survival and an immune infiltrate based especially on immunosuppressive M2 macrophages (p-value range 4.82 × 10−7–1.63 × 10−13). Our results emphasize that these genes could be candidate biomarkers for GC progression and prognosis and new therapeutic targets.
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Affiliation(s)
- Mihaela Chivu-Economescu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
- Correspondence: or ; Tel.: +40-21-324-2592
| | - Laura G. Necula
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
- Faculty of Medicine, Titu Maiorescu University, 040441 Bucharest, Romania; (V.H.); (I.P.)
| | - Lilia Matei
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
| | - Denisa Dragu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
| | - Coralia Bleotu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
| | - Andrei Sorop
- Center of Excellence for Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania; (A.S.); (S.D.)
| | - Vlad Herlea
- Faculty of Medicine, Titu Maiorescu University, 040441 Bucharest, Romania; (V.H.); (I.P.)
- Department of Pathology, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Simona Dima
- Center of Excellence for Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania; (A.S.); (S.D.)
- Center of General Surgery and Liver Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Irinel Popescu
- Faculty of Medicine, Titu Maiorescu University, 040441 Bucharest, Romania; (V.H.); (I.P.)
- Center of General Surgery and Liver Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Carmen C. Diaconu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania; (L.G.N.); (L.M.); (D.D.); (C.B.); (C.C.D.)
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Lv D, Chen D, Wang Z, Cui Z, Ma JH, Ji S, Chen J, Tang S. COL10A1 is a novel factor in the development of choroidal neovascularization. Microvasc Res 2022; 139:104239. [PMID: 34520774 DOI: 10.1016/j.mvr.2021.104239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/16/2021] [Accepted: 08/31/2021] [Indexed: 11/29/2022]
Abstract
With the dramatic rise in the aging population, researching age-related macular degeneration (AMD), especially the severe form neovascular AMD (nAMD), has become more important than ever. In this study, we found that collagen type X was increased in retina-choroid tissue of mice with laser-induced choroidal neovascularization (CNV) based on immunohistofluorescence. RNA sequencing and bioinformatic analyses were performed to compare the retina-choroid tissue complex of the CNV mouse model to normal controls. Collagen type X alpha 1 chain (Col10a1) was among the most significantly upregulated genes, and the results were validated with an animal model at the mRNA and protein levels by quantitative real-time polymerase chain reaction (qPCR) and western blotting, respectively. COL10A1 was also upregulated in human retinal microvascular endothelial cells (HRMECs), human umbilical vein endothelial cells (HUVECs), RPE19 cells and RF/6A cells under hypoxic conditions. Next, in vitro and in vivo experiments were performed to study the effect of COL10A1 on neovascularization. siRNA knockdown of COL10A1 suppressed the proliferation and tube formation ability of HRMECs under hypoxic conditions. Snail family transcriptional repressor 1 (SNAIL1) and angiopoietin-2 (ANGPT2) were downregulated in COL10A1 knockdown HRMECs under hypoxic conditions and thus were potential downstream genes. Significant decreases in CNV leakage and CNV lesion area, as assessed by fundus fluorescein angiography (FFA) and immunofluorescence of choroidal flat mounts, respectively, were observed in a mouse model intravitreally injected with anti-collagen X monoclonal antibody (mAb) compared to the controls. In conclusion, COL10A1 promotes CNV formation and may represent a new candidate target for the treatment and diagnosis of nAMD and other neovascular diseases.
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Affiliation(s)
- Da Lv
- Aier School of Ophthalmology, Central South University, Changsha, China; Aier Eye Institute, Changsha, China
| | | | - Zhijie Wang
- Aier School of Ophthalmology, Central South University, Changsha, China; Aier Eye Institute, Changsha, China
| | | | - Jacey Hongjie Ma
- Aier School of Ophthalmology, Central South University, Changsha, China; Aier Eye Institute, Changsha, China
| | | | - Jiansu Chen
- Aier School of Ophthalmology, Central South University, Changsha, China; Aier Eye Institute, Changsha, China; Key Laboratory for Regenerative Medicine, Ministry of Education, Jinan University, Guangzhou, China; Institute of Ophthalmology, Medical College, Jinan University, Guangzhou, China.
| | - Shibo Tang
- Aier School of Ophthalmology, Central South University, Changsha, China; Aier Eye Institute, Changsha, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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Hammerl D, Martens JWM, Timmermans M, Smid M, Trapman-Jansen AM, Foekens R, Isaeva OI, Voorwerk L, Balcioglu HE, Wijers R, Nederlof I, Salgado R, Horlings H, Kok M, Debets R. Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer. Nat Commun 2021; 12:5668. [PMID: 34580291 PMCID: PMC8476574 DOI: 10.1038/s41467-021-25962-0] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 09/07/2021] [Indexed: 02/08/2023] Open
Abstract
Only a subgroup of triple-negative breast cancer (TNBC) responds to immune checkpoint inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for spatial immune cell contextures in relation to clinical outcomes and pathways of T cell evasion. Excluded, ignored and inflamed phenotypes can be captured by a gene classifier that predicts prognosis of various cancers as well as anti-PD1 response of metastatic TNBC patients in a phase II trial. The excluded phenotype, which is associated with resistance to anti-PD1, demonstrates deposits of collagen-10, enhanced glycolysis, and activation of TGFβ/VEGF pathways; the ignored phenotype, also associated with resistance to anti-PD1, shows either high density of CD163+ myeloid cells or activation of WNT/PPARγ pathways; whereas the inflamed phenotype, which is associated with response to anti-PD1, revealed necrosis, high density of CLEC9A+ dendritic cells, high TCR clonality independent of neo-antigens, and enhanced expression of T cell co-inhibitory receptors.
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Affiliation(s)
- Dora Hammerl
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John W M Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Mieke Timmermans
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Marcel Smid
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Renée Foekens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Olga I Isaeva
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Leonie Voorwerk
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Hayri E Balcioglu
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Rebecca Wijers
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Iris Nederlof
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Ziekenhuizen, Antwerp, Belgium
- Division of Research, Peter Mac Callum Cancer Center, Melbourne, Australia
| | - Hugo Horlings
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marleen Kok
- Division of Tumor Biology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Reno Debets
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
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35
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Cai Z, Wei Y, Chen S, Gong Y, Fu Y, Dai X, Zhou Y, Yang H, Tang L, Liu H. Screening and identification of key biomarkers in alimentary tract cancers: A bioinformatic analysis. Cancer Biomark 2021; 29:221-233. [PMID: 32623389 DOI: 10.3233/cbm-201580] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Alimentary tract cancers (ATCs) are the most malignant cancers in the world. Numerous studies have revealed the tumorigenesis, diagnosis and treatment of ATCs, but many mechanisms remain to be explored. METHODS To identify the key genes of ATCs, microarray datasets of oesophageal cancer, gastric cancer and colorectal cancer were obtained from the Gene Expression Omnibus (GEO) database. In total, 207 differentially expressed genes (DEGs) were screened. KEGG and GO function enrichment analyses were conducted, and a protein-protein interaction (PPI) network was generated and gene modules analysis was performed using STRING and Cytoscape. RESULTS Five hub genes were screened, and the associated biological processes indicated that these genes were mainly enriched in cellular processes, protein binding and metabolic processes. Clinical survival analysis showed that COL10A1 and KIF14 may be significantly associated with the tumorigenesis or pathology grade of ATCs. In addition, relative human ATC cell lines along with blood samples and tumour tissues of ATC patients were obtained. The data proved that high expression of COL10A1 and KIF14 was associated with tumorigenesis and could be detected in blood. CONCLUSION In conclusion, the identification of hub genes in the present study helped us to elucidate the molecular mechanisms of tumorigenesis and identify potential diagnostic indicators and targeted treatment for ATCs.
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Affiliation(s)
- Zeling Cai
- Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yi Wei
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Shuai Chen
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yu Gong
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yue Fu
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Xianghua Dai
- Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yan Zhou
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Haojun Yang
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Liming Tang
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Hanyang Liu
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
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36
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Plexin domain containing protein 2 is more expressed within the invasive area of human colorectal cancer tissues. Hum Cell 2021; 34:1580-1583. [PMID: 34146255 DOI: 10.1007/s13577-021-00570-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 06/16/2021] [Indexed: 10/21/2022]
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37
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Ramos MIP, Tian L, de Ruiter EJ, Song C, Paucarmayta A, Singh A, Elshof E, Vijver SV, Shaik J, Bosiacki J, Cusumano Z, Jensen C, Willumsen N, Karsdal MA, Liu L, Langermann S, Willems S, Flies D, Meyaard L. Cancer immunotherapy by NC410, a LAIR-2 Fc protein blocking human LAIR-collagen interaction. eLife 2021; 10:62927. [PMID: 34121658 PMCID: PMC8225389 DOI: 10.7554/elife.62927] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 06/11/2021] [Indexed: 12/25/2022] Open
Abstract
Collagens are a primary component of the extracellular matrix and are functional ligands for the inhibitory immune receptor leukocyte-associated immunoglobulin-like receptor (LAIR)-1. LAIR-2 is a secreted protein that can act as a decoy receptor by binding collagen with higher affinity than LAIR-1. We propose that collagens promote immune evasion by interacting with LAIR-1 expressed on immune cells, and that LAIR-2 releases LAIR-1-mediated immune suppression. Analysis of public human datasets shows that collagens, LAIR-1 and LAIR-2 have unique and overlapping associations with survival in certain tumors. We designed a dimeric LAIR-2 with a functional IgG1 Fc tail, NC410, and showed that NC410 increases human T cell expansion and effector function in vivo in a mouse xenogeneic-graft versus-host disease model. In humanized mouse tumor models, NC410 reduces tumor growth that is dependent on T cells. Immunohistochemical analysis of human tumors shows that NC410 binds to collagen-rich areas where LAIR-1+ immune cells are localized. Our findings show that NC410 might be a novel strategy for cancer immunotherapy for immune-excluded tumors.
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Affiliation(s)
- M Ines Pascoal Ramos
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Oncode Institute, Utrecht, Netherlands
| | | | | | | | | | - Akashdip Singh
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Oncode Institute, Utrecht, Netherlands
| | - Eline Elshof
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Oncode Institute, Utrecht, Netherlands
| | - Saskia V Vijver
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Oncode Institute, Utrecht, Netherlands
| | | | | | | | | | | | | | | | | | - Stefan Willems
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Linde Meyaard
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Oncode Institute, Utrecht, Netherlands
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Zhou L, Li SH, Wu Y, Xin L. Establishment of a prognostic model of four genes in gastric cancer based on multiple data sets. Cancer Med 2021; 10:3309-3322. [PMID: 33934516 PMCID: PMC8124107 DOI: 10.1002/cam4.3654] [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: 09/24/2020] [Revised: 11/04/2020] [Accepted: 11/06/2020] [Indexed: 01/22/2023] Open
Abstract
Gastric cancer (GC) is a kind of malignancy with a high mortality and recurrence. An effective prediction model based on ideal biomarkers to assess prognosis could benefit patients for optimization of treatment. Bioinformatics has played an increasingly important role in the study of cancer diseases. Therefore, this study started with bioinformatics to establish a reliable prognostic model of gastric cancer. The gene expression data and clinical data of GC tissues and normal tissues were obtained from the Gene Expression Omnibus (GEO), Genotype‐Tissue Expression (GTEx), and The Cancer Genome Atlas (TCGA) profile database. We finally identified a four gene signature and constructed a prognostic model. The results of internal and external validation showed that the model is highly reliable. In addition, we also constructed a nomogram based on the model, which was verified by a calibration curve to show its predicted accuracy. Comprehensive analysis indicated that the four genes in the model are related to the occurrence and development of tumors, perhaps they are potential targets for tumor treatment. Generally, this prognostic model can bring potential benefits to patients with gastric cancer.
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Affiliation(s)
- Liqiang Zhou
- Department of General Surgery, Nanchang University, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, 330006, China
| | - Shi H Li
- Department of General Surgery, Nanchang University, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, 330006, China
| | - You Wu
- Department of General Surgery, Nanchang University, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, 330006, China
| | - Lin Xin
- Department of General Surgery, Nanchang University, The Second Affiliated Hospital of Nanchang University, NanChang, JiangXi, 330006, China
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39
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Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer. Biosci Rep 2021; 40:222087. [PMID: 32043519 PMCID: PMC7029149 DOI: 10.1042/bsr20193286] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 01/29/2020] [Accepted: 02/10/2020] [Indexed: 01/10/2023] Open
Abstract
Background: Collagen type X alpha 1 (COL10A1) is overexpressed in diverse tumors and displays vital roles in tumorigenesis. However, the prognostic value of COL10A1 in breast cancer remains unclear. Methods: The expression of COL10A1 was analyzed by the Oncomine database and UALCAN cancer database. The relationship between COL10A1 expression level and clinical indicators including prognostic data in breast cancer were analyzed by the Kaplan–Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. Results: COL10A1 was up-regulated in different subtypes of breast cancer. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2) status and nodal status were positively correlated with COL10A1 expression. Conversely, age, the Scarff–Bloom–Richardson (SBR) grade, basal-like status, and triple-negative status were negatively related to COL10A1 level in breast cancer samples compared with normal tissues. Patients with increased COL10A1 expression level showed worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS). COL10A1 was positively correlated with metastatic relapse-free survival. GSEA analysis revealed that enrichment of TGF-β signaling pathway. 15-leucine-rich repeat containing membrane protein (LRRC15) is a correlated gene of COL10A1. Conclusion: Bioinformatics analysis revealed that COL10A1 might be considered as a predictive biomarker for prognosis of breast cancer. Further experiments and clinical trials are essential to elucidate the value of COL10A1 in breast cancer treatment.
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Kumar A, Nayakanti DS, Mangalaparthi KK, Gopinath V, Reddy NVN, Govindan K, Voolapalli G, Kumar P, Kumar LD. Quantitative proteome profiling stratifies fibroepithelial lesions of the breast. Oncotarget 2021; 12:507-518. [PMID: 33747363 PMCID: PMC7939526 DOI: 10.18632/oncotarget.27889] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/26/2021] [Indexed: 11/25/2022] Open
Abstract
Breast fibroepithelial lesions (FELs) include heterogeneous pathological tumors, involving indolent fibroadenoma (FAD) to potentially aggressive phyllodes tumors (PTs). The current grading system remains unreliable in differentiating these tumors due to histological heterogeneity and lack of appropriate markers to monitor the sudden and unpredictable malignant transformation of PTs. Thus, there exists an imminent need for a marker-based diagnostic approach to augment the conventional histological platform that could lead to accurate diagnosis and distinction of FELs. The high- throughput quantitative proteomic analysis suggested that FAD and PTs form distinct clusters away from borderline and malignant though there exist marked differences between them. Interestingly, over-expression of extracellular matrices (ECM) related proteins and epithelial-mesenchymal transition (EMT) markers in borderline PTs led us to hypothesize a model of deposition and degradation leading to ECM remodeling and EMT acquisition triggering its malignant transformation. We also identified three candidate biomarkers such as MUCL1, HTRA1, and VEGDF uniquely expressed in FAD, borderline, and malignant PTs, respectively, which were further validated using immunohistochemistry. The present work shed light on a brief mechanistic framework of PTs aggressive nature and present potential biomarkers to differentiate overlapping FELs that would be of practical utility in augmenting existing diagnosis and disease management for this rare tumor.
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Affiliation(s)
- Aviral Kumar
- Cancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India.,Authors share equal first authorship
| | - David S Nayakanti
- Institute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.,Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.,Authors share equal first authorship
| | - Kiran K Mangalaparthi
- Institute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.,Authors share equal second authorship
| | - Veena Gopinath
- Cancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India.,Authors share equal second authorship
| | | | - Krishna Govindan
- Department of Pathology, Government Medical College, Thiruvananthapuram, Kerala, 695011, India
| | - Geeta Voolapalli
- Department of Surgery and Pathology, Gandhi Hospital, Secunderabad, 500025, India
| | - Prashant Kumar
- Institute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.,Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Lekha Dinesh Kumar
- Cancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India
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Guo W, Zheng X, Hua L, Zheng X, Zhang Y, Sun B, Tao Z, Gao J. Screening and bioinformatical analysis of differentially expressed genes in nasopharyngeal carcinoma. J Cancer 2021; 12:1867-1883. [PMID: 33753985 PMCID: PMC7974527 DOI: 10.7150/jca.48979] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 12/31/2020] [Indexed: 12/17/2022] Open
Abstract
Objective: To identify differentially expressed genes via bioinformatical analysis for nasopharyngeal carcinoma (NPC) and explore potential biomarkers for NPC. Methods: We downloaded the NPC gene expression datasets (GSE40290, GSE53819) and obtained differentially expressed genes (DEGs) via GEO2R. Functional analysis of DEGs was performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. In order to explore the interaction of DEGs and screen the core genes, we established protein-protein interaction (PPI) network. Then the expression level, prognostic and diagnostic analysis of the core genes in NPC were performed to reveal their potential effects on NPC. Furthermore, we obtained the transcription factors (TF) and microRNAs of core genes to construct the coregulatory network. Results: We obtained 124 up-regulated genes and 190 down-regulated genes in total. These genes were found to be related to signal transduction, extracellular matrix organization and cell adhesion based on GO analysis. KEGG analysis revealed that the NF-kappa B (NF-κB) signaling pathway, pathways in cancer were mainly enriched signaling pathways. 25 core genes were obtained by constructing PPI network. Then the high expression of 10 core genes in NPC were verified via GEPIA, Oncomine databases and laboratory experiments. The TF-microRNA coregulatory network of the 10 core genes was built. Survival and diagnostic analysis indicated that SPP1 had negative influence on the prognosis of NPC patients based on two datasets and nine up-regulated core genes (FN1, MMP1, MMP3, PLAU, PLAUR, SERPINE1, SPP1, COL8A1, COL10A1) might be diagnostic markers for NPC. Conclusions: Core genes of NPC were screened out by bioinformatical analysis in the present study and these genes may serve as prognostic and diagnostic biomarkers for NPC.
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Affiliation(s)
- Weiqian Guo
- Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China
| | - Xiaomin Zheng
- Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China
| | - Lei Hua
- Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China
| | | | - Yangyang Zhang
- Department of Radiation Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China
| | - Bin Sun
- Department of Radiation Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China
| | - Zhenchao Tao
- Department of Radiation Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China
| | - Jin Gao
- Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei 230001, China.,Department of Radiation Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230031, China
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Martins Cavaco AC, Dâmaso S, Casimiro S, Costa L. Collagen biology making inroads into prognosis and treatment of cancer progression and metastasis. Cancer Metastasis Rev 2021; 39:603-623. [PMID: 32447477 DOI: 10.1007/s10555-020-09888-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Progression through dissemination to tumor-surrounding tissues and metastasis development is a hallmark of cancer that requires continuous cell-to-cell interactions and tissue remodeling. In fact, metastization can be regarded as a tissue disease orchestrated by cancer cells, leading to neoplastic colonization of new organs. Collagen is a major component of the extracellular matrix (ECM), and increasing evidence suggests that it has an important role in cancer progression and metastasis. Desmoplasia and collagen biomarkers have been associated with relapse and death in cancer patients. Despite the increasing interest in ECM and in the desmoplastic process in tumor microenvironment as prognostic factors and therapeutic targets in cancer, further research is required for a better understanding of these aspects of cancer biology. In this review, published evidence correlating collagen with cancer prognosis is retrieved and analyzed, and the role of collagen and its fragments in cancer pathophysiology is discussed.
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Affiliation(s)
- Ana C Martins Cavaco
- Luis Costa Lab, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, 1649-028, Lisboa, Portugal
| | - Sara Dâmaso
- Serviço de Oncologia, Hospital de Santa Maria-CHULN, 1649-028, Lisboa, Portugal
| | - Sandra Casimiro
- Luis Costa Lab, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, 1649-028, Lisboa, Portugal
| | - Luís Costa
- Luis Costa Lab, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, 1649-028, Lisboa, Portugal.
- Serviço de Oncologia, Hospital de Santa Maria-CHULN, 1649-028, Lisboa, Portugal.
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Chen S, Wei Y, Liu H, Gong Y, Zhou Y, Yang H, Tang L. Analysis of Collagen type X alpha 1 (COL10A1) expression and prognostic significance in gastric cancer based on bioinformatics. Bioengineered 2020; 12:127-137. [PMID: 33371777 PMCID: PMC8291830 DOI: 10.1080/21655979.2020.1864912] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Collagen type X alpha 1 (COL10A1) is a member of the collagen family and the main matrix component. However, COL10A1 expression and prognosis relationship remains unclear in gastric cancer (GC). Through the analysis of database of Oncomine, the Cancer Genome Atlas (TCGA) as well as the Gene Expression Omnibus (GEO), in contrast to the tissue of normal gastric, COL10A1 in gastric cancer, had been upregulated. The high expression of COL10A1 was obviously related to T stage (P = 0.025) and lymph node metastasis (P = 0.025). It has been illustrated by the analysis of logistic regression that COL10A1's heightened expression in gastric cancer had been essentially linked with pathological stage, tumor differentiation, and T classification. The Kaplan-Meier curve in the Kaplan-Meier plotter database (P = 0.0371) and GSE84437 (P = 0.002) indicate that patients with high COL10A1 expression possess poor prognosis, specifically GC patients with lymph node metastasis have it. TCGA's Multivariate analysis (P = 0.025) and GSE84437 dataset (P = 0.034) show that high expression COL10A1 is a key independent predictor of poor overall survival. Searching KEGG pathway enrichment by GSEA, the results suggested that 29 pathways were enriched. qRT-PCR technique was used for verification of the COL10A1's high expression in gastric cancer in contrast to the normal gastric tissues. In conclusion, COL10A1 is of great importance in predicting the survival rate of GC patients.
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Affiliation(s)
- Shuai Chen
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Yi Wei
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Hanyang Liu
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Yu Gong
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Yan Zhou
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Haojun Yang
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
| | - Liming Tang
- Center of Gastrointestinal Disease, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University , Changzhou, China
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Liang Y, Xia W, Zhang T, Chen B, Wang H, Song X, Zhang Z, Xu L, Dong G, Jiang F. Upregulated Collagen COL10A1 Remodels the Extracellular Matrix and Promotes Malignant Progression in Lung Adenocarcinoma. Front Oncol 2020; 10:573534. [PMID: 33324550 PMCID: PMC7726267 DOI: 10.3389/fonc.2020.573534] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/26/2020] [Indexed: 01/27/2023] Open
Abstract
Collagens are major components of the ECM in various organs, including the lungs. Ectopic expression of collagens can regulate the tumor progression and disease outcome through remodeling of the extracellular matrix (ECM). However, it remains largely unexplored whether collagens are involved in the tumor progression of lung adenocarcinoma (LUAD). Analysis of three LUAD transcriptional expression profiles showed that COL10A1 mRNA expression was up-regulated and associated with poor prognosis. Gain- and loss-of-function studies were performed to observe that up-regulated COL10A1 promotes LUAD cell proliferation and invasion in vitro and in vivo. In molecular mechanism study, we found that COL10A1 interacts with DDR2 and affects the downstream FAK signaling pathway to regulate LUAD cell progression. The expression of COL10A1 on tissue microarray (TMA) was also measured to explore the association between COL10A1 expression and patient outcome. The results addressed that COL10A1 is up-regulated and positively correlated with lymph node metastasis in lung adenocarcinoma, and the COL10A1 expression is also an independent prognostic factor. In summary, the up-regulated COL10A1 remodels the ECM and the COL10A1/DDR2/FAK axis regulates the proliferation and metastasis of LUAD cells, implying that COL10A1 is a promising therapeutic target and prognostic marker for LUAD patients.
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Affiliation(s)
- Yingkuan Liang
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China.,Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wenjie Xia
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Te Zhang
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Bing Chen
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Hui Wang
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Xuming Song
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Zeyu Zhang
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Lin Xu
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Gaochao Dong
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Feng Jiang
- The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
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45
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Li Q, Liu X, Gu J, Zhu J, Wei Z, Huang H. Screening lncRNAs with diagnostic and prognostic value for human stomach adenocarcinoma based on machine learning and mRNA-lncRNA co-expression network analysis. Mol Genet Genomic Med 2020; 8:e1512. [PMID: 33002344 PMCID: PMC7667366 DOI: 10.1002/mgg3.1512] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 06/10/2020] [Accepted: 08/21/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Stomach adenocarcinoma (STAD), is one of the most lethal malignancies around the world. The aim of this study was to find the long noncoding RNAs (lncRNAs) acting as diagnostic and prognostic biomarker of STAD. METHODS Base on TCGA dataset, the differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) were identified between STAD and normal tissue. The machine learning and survival analysis were performed to evaluate the potential diagnostic and prognostic value of lncRNAs for STAD. We also build the co-expression network and functional annotation. The expression of selected candidate mRNAs and lncRNAs were validated by Quantitative real-time polymerase chain reaction (qRT-PCR) and GSE27342 dataset. GSE27342 dataset were also to perform gene set enrichment analysis. RESULTS A total of 814 DEmRNAs and 106 DElncRNAs between STAD and normal tissue were obtained. FOXD2-AS1, LINC01235, and RP11-598F7.5 were defined as optimal diagnostic lncRNA biomarkers for STAD. The area under curve (AUC) of the decision tree model, random forests model, and support vector machine (SVM) model were 0.797, 0.981, and 0.983, and the specificity and sensitivity of the three model were 75.0% and 97.1%, 96.9% and 96%, and 96.9% and 97.1%, respectively. Among them, LINC01235 was not only an optimal diagnostic lncRNA biomarkers, but also related to survival time. The expression of three DEmRNAs (ESM1, WNT2, and COL10A1) and three optimal diagnostic lncRNAs biomarkers (FOXD2-AS1, RP11-598F7.5, and LINC01235) in qRT-PCR validation was were consistent with our integrated analysis. Except for FOXD2-AS1, ESM1, WNT2, COL10A1, and LINC01235 were upregulated in STAD, which was consistent with our integration results. Gene set enrichment analysis results indicated that DNA replication, Cell cycle, ECM-receptor interaction, and P53 signaling pathway were four significantly enriched pathways in STAD. CONCLUSION Our study identified three DElncRNAs as potential diagnostic biomarkers of STAD. Among them, LINC01235 also was a prognostic lncRNA biomarkers.
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Affiliation(s)
- Qun Li
- Department of Gastroenterology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Xiaofeng Liu
- Department of Gastroenterology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Jia Gu
- Department of Pathology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Jinming Zhu
- Department of General surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Zhi Wei
- Department of Gastroenterology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Hua Huang
- Department of Gastroenterology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
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46
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Necula L, Matei L, Dragu D, Pitica I, Neagu AI, Bleotu C, Dima S, Popescu I, Diaconu CC, Chivu-Economescu M. High plasma levels of COL10A1 are associated with advanced tumor stage in gastric cancer patients. World J Gastroenterol 2020; 26:3024-3033. [PMID: 32587446 PMCID: PMC7304107 DOI: 10.3748/wjg.v26.i22.3024] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 05/14/2020] [Accepted: 05/28/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Gastric cancer (GC) remains an aggressive malignancy with a high rate of mortality, being the third leading cause of cancer-related death. More than one million newly diagnosed cases and 782685 deaths due to GC were reported in 2018. GC is characterized by limited effective treatment options and the lack of consistent biomarkers for the diagnosis and prognosis of these patients. The discovery of new biomarkers useful in the early diagnosis of GC is mandatory.
AIM To evaluate the potential of COL10A1 as a circulating biomarker for the diagnosis and prognosis of gastric adenocarcinoma patients.
METHODS Plasma and tissue obtained from 49 patients with gastric adenocarcinoma have been used in exploring the expression of COL10A1. Real-time PCR and western blot techniques were used to evaluate COL10A1 level in gastric tumor tissue compared to normal adjacent tissue. The circulating level of COL10A1 was also evaluated by ELISA in plasma of gastric adenocarcinoma patients. Survival analysis was made in order to evaluate the potential of COL10A1 as a biomarker for the diagnosis and prognosis of gastric adenocarcinoma patients.
RESULTS Our results showed a significant increase in COL10A1 gene expression and protein levels in gastric tumor tissue compared to adjacent normal tissue (P < 0.05). COL10A1 seems to show an elevated expression from the beginning of carcinogenesis, in the early stages, and its increased level remains elevated during cancer progression. A significant increase of COL10A1 plasma level in gastric adenocarcinoma patients was also identified. Moreover, increased COL10A1 plasma level was associated with poor survival of the patients. Plasma COL10A1 performed a diagnostic value in GC with area under the receiver operating characteristic curve (AUC) of 0.9171 (P = 0.0002), sensitivity of 87.76%, and specificity of 100.0%. Furthermore, this study demonstrated the potential role of plasma COL10A1 in the early detection of GC, as in the early stage, we obtained an AUC of 0.8789 (P = 0.0030), sensitivity of 81.25%, and specificity of 100.0%.
CONCLUSION Circulating expression level of COL10A1 is significantly increased in gastric adenocarcinoma patients being associated with poor survival and is a potential biomarker for early detection of GC.
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Affiliation(s)
- Laura Necula
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
- Titu Maiorescu University, Faculty of Medicine, Bucharest 040441, Romania
| | - Lilia Matei
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Denisa Dragu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Ioana Pitica
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Ana Iulia Neagu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Coralia Bleotu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Simona Dima
- Fundeni Clinical Institute, Bucharest 022328, Romania
| | | | - Carmen C Diaconu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
| | - Mihaela Chivu-Economescu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, Bucharest 030304, Romania
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47
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Purkayastha BPD, Chan ER, Ravillah D, Ravi L, Gupta R, Canto MI, Wang JS, Shaheen NJ, Willis JE, Chak A, Varadan V, Guda K. Genome-Scale Analysis Identifies Novel Transcript-Variants in Esophageal Adenocarcinoma. Cell Mol Gastroenterol Hepatol 2020; 10:652-654.e17. [PMID: 32344180 PMCID: PMC7474160 DOI: 10.1016/j.jcmgh.2020.04.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 04/17/2020] [Accepted: 04/20/2020] [Indexed: 01/12/2023]
Key Words
- bm, barrett’s metaplasia
- bp, base pair
- col10a1, collagen x alpha 1 chain precursor gene
- eac, esophageal adenocarcinoma
- gast, normal gastric
- hgd, barrett’s with high grade dysplasia
- pcr, polymerase chain reaction
- qpcr, quantitative pcr
- race, rapid amplification of cdna ends
- shrna, short hairpin rna
- sq, normal esophageal squamous
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Affiliation(s)
- B P D Purkayastha
- Division of General Medical Sciences-Oncology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - E R Chan
- Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - D Ravillah
- Division of General Medical Sciences-Oncology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - L Ravi
- Division of General Medical Sciences-Oncology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - R Gupta
- Division of Gastroenterology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - M I Canto
- Division of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - J S Wang
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - N J Shaheen
- Center for Esophageal Diseases and Swallowing, Division of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina
| | - J E Willis
- Department of Pathology, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - A Chak
- Division of Gastroenterology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - V Varadan
- Division of General Medical Sciences-Oncology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - K Guda
- Division of General Medical Sciences-Oncology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Pathology, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
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48
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Zhao CL, Singh K, Brodsky AS, Lu S, Graves TA, Fenton MA, Yang D, Sturtevant A, Resnick MB, Wang Y. Stromal ColXα1 expression correlates with tumor-infiltrating lymphocytes and predicts adjuvant therapy outcome in ER-positive/HER2-positive breast cancer. BMC Cancer 2019; 19:1036. [PMID: 31675929 PMCID: PMC6825361 DOI: 10.1186/s12885-019-6134-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 09/04/2019] [Indexed: 12/21/2022] Open
Abstract
Background The breast cancer microenvironment contributes to tumor progression and response to chemotherapy. Previously, we reported that increased stromal Type X collagen α1 (ColXα1) and low TILs correlated with poor pathologic response to neoadjuvant therapy in estrogen receptor and HER2-positive (ER+/HER2+) breast cancer. Here, we investigate the relationship of ColXα1 and long-term outcome of ER+/HER2+ breast cancer patients in an adjuvant setting. Methods A total of 164 cases with at least 5-year follow-up were included. Immunohistochemistry for ColXα1 was performed on whole tumor sections. Associations between ColXα1expression, clinical pathological features, and outcomes were analyzed. Results ColXα1 expression was directly proportional to the amount of tumor associated stroma (p = 0.024) and inversely proportional to TILs. Increased ColXα1 was significantly associated with shorter disease free survival and overall survival by univariate analysis. In multivariate analysis, OS was lower in ColXα1 expressing (HR = 2.1; 95% CI = 1.2–3.9) tumors of older patients (> = 58 years) (HR = 5.3; 95% CI = 1.7–17) with higher stage (HR = 2.6; 95% CI = 1.3–5.2). Similarly, DFS was lower in ColXα1 expressing (HR = 1.8; 95% CI = 1.6–5.7) tumors of older patients (HR = 3.2; 95% CI = 1.3–7.8) with higher stage (HR = 2.7; 95% CI = 1.6–5.7) and low TILs. In low PR+ tumors, higher ColXα1 expression was associated with poorer prognosis. Conclusion ColXα1 expression is associated with poor disease free survival and overall survival in ER+/HER2+ breast cancer. This study provides further support for the prognostic utility of ColXα1 as a breast cancer associated stromal factor that predicts response to chemotherapy. Electronic supplementary material The online version of this article (10.1186/s12885-019-6134-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chaohui Lisa Zhao
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Kamaljeet Singh
- Department of Pathology and Laboratory Medicine, Women and Infant Hospital, Warren Alpert Medical School of Brown University, Providence, RI, 02903, USA
| | - Alexander S Brodsky
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Shaolei Lu
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Theresa A Graves
- Department of Surgery, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, Providence, USA
| | - Mary Anne Fenton
- Department of Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, Providence, USA
| | - Dongfang Yang
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Ashlee Sturtevant
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Murray B Resnick
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA
| | - Yihong Wang
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital and Lifespan Medical Center, Warren Alpert Medical School of Brown University, 593 Eddy St, APC 12, Providence, RI, 02903, USA.
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Exosomes derived from microRNA-101-3p-overexpressing human bone marrow mesenchymal stem cells suppress oral cancer cell proliferation, invasion, and migration. Mol Cell Biochem 2019; 458:11-26. [PMID: 31165315 DOI: 10.1007/s11010-019-03526-7] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 03/15/2019] [Indexed: 10/26/2022]
Abstract
Dysregulation of microRNAs (miRNAs) has been found to disrupt the progression of oral cancer. However, which miRNAs are most effective against oral cancer and how these miRNAs should be delivered are major unanswered problems. We aimed at investigating if human bone marrow mesenchymal stem cells (hBMSCs)-derived exosomes affect oral cancer development, and the potential regulatory mechanism associated with COL10A1 and miR-101-3p. COL10A1 was upregulated, while miR-101-3p was downregulated in oral cancer, and miR-101-3p targeted COL10A1 as verified by dual-luciferase reporter gene assay. Meanwhile, exosomes derived from hBMSCs were isolated and then co-cultured with oral cancer cells to identify the role of exosomes, and the results suggested that hBMSCs-derived exosomes overexpressing miR-101-3p inhibited oral cancer progression. Furthermore, tumorigenicity assay in nude mice further confirmed the inhibitory effects of hBMSCs-derived exosomes, loaded with miR-101-3p, on oral cancer, which provides a new theoretical basis in the treatment of oral cancer.
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50
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MiR-384 induces apoptosis and autophagy of non-small cell lung cancer cells through the negative regulation of Collagen α-1(X) chain gene. Biosci Rep 2019; 39:BSR20181523. [PMID: 30442874 PMCID: PMC6356039 DOI: 10.1042/bsr20181523] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 11/05/2018] [Accepted: 11/12/2018] [Indexed: 12/14/2022] Open
Abstract
The present study aims to investigate the mechanism of miR-384 in non-small cell lung cancer (NSCLC) cell apoptosis and autophagy by regulating Collagen α-1(X) chain (COL10A1). Bioinformatics methods were applied to evaluate potential miRNAs and genes that might correlate with NSCLC. Tumor tissues and adjacent tissues from 104 NSCLC patients were collected and human NSCLC A549 cell line was selected for subsequent experiments. A549 cells were treated with miR-384 mimic, miR-384 inhibitor, or knockdown of COL10A1. Quantitative real-time PCR (qRT-PCR) and Western blotting were utilized to detect the levels of miR-384, COL10A, Survivin, Bcl-2, Bax, Bcl-xl, Beclin 1, and LC3 in tissues and cells. A series of biological assays including MTT assay, Annexin V-FITC/PI (propidium iodide) staining, immunofluorescence, monodansylcadaverine (MDC) staining were conducted to investigate the effects of miR-384 and COL10A1 on NSCLC cells. Tumorigenicity assay for nude rats was applied. Results obtained from the present study indicated that miR-384 down-regulated COL10A1 by targetting it. Compared with adjacent tissues, miR-384 expression was obviously reduced while COL10A1 expression was significantly enhanced in NSCLC tissues (all P<0.05). Outcomes in vivo and in vitro suggested that cell proliferation and tumorigenicity were inhibited while cell apoptosis and autophagy were induced in NSCLC cells treated with up-regulation of miR-384 or silence of COL10A1. In miR-384 inhibitor group, cell proliferation was improved, while cell apoptosis was reduced and cell autophagy was decreased whereas tumorigenicity of cells was strengthened. Based on the findings of our study, it was established that miR-384 could down-regulate COL10A1 levels, subsequently inhibiting cell proliferation and promoting cell apoptosis and autophagy in NSCLC cells.
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