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Awad AM, Dabous E, Alalem M, Alalem N, Nasr ME, Elawdan KA, Nasr GM, Said W, El Khashab K, Basiouny MS, Guirgis AA, Khalil H. MicroRNA-141-regulated KLK10 and TNFSF-15 gene expression in hepatoblastoma cells as a novel mechanism in liver carcinogenesis. Sci Rep 2024; 14:13492. [PMID: 38866875 PMCID: PMC11169620 DOI: 10.1038/s41598-024-63223-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 05/27/2024] [Indexed: 06/14/2024] Open
Abstract
Liver cancer is one of the most pivotal global health problems, leading hepatocellular carcinoma (HCC) with a significant increase in cases worldwide. The role of non-coding-RNA in cancer proliferation and carcinogenesis has attracted much attention in the last decade; however, microRNAs (miRNAs), as non-coding RNA, are considered master mediators in various cancer progressions. Yet the role of miR-141 as a modulator for specific cellular processes in liver cancer cell proliferation is still unclear. This study identified the role of miR-141 and its potential functions in liver carcinogenesis. The level of miR-141 in HepG2 and HuH7 cells was assessed using quantitative real-time PCR (qRT-PCR) and compared with its expression in normal hepatocytes. A new miR-141 construct has been performed in a CMV promoter vector tagged with GFP. Using microarray analysis, we identified the potentially regulated genes by miR-141 in transfected HepG2 cells. The protein profile of the kallikrein-related peptidase 10 (KLK10) and tumor necrosis factor TNFSF-15 was investigated in HepG2 cells transfected with either an inhibitor, antagonist miR-141, or miR-141 overexpression vector using immunoblotting and flow cytometry assay. Finally, ELISA assay has been used to monitor the produced inflammatory cytokines from transfected HepG2 cells. Our findings showed that the expression of miR-141 significantly increased in HepG2 and HuH7 cells compared to the normal hepatocytes. Transfection of HepG2 cells with an inhibitor, antagonist miR-141, showed a significant reduction of HepG2 cell viability, unlike the transfection of miR-141 overexpression vector. The microarray data of HepG2 cells overexpressed miR-141 provided a hundred downregulated genes, including KLK10 and TNFSF-15. Furthermore, the expression profile of KLK10 and TNFSF-15 markedly depleted in HepG2 cells transfected with miR-141 overexpression accompanied by a decreasing level of interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-α), indicating the role of miR-141 in HepG2 cell proliferation and programmed cell death. Interestingly, the experimental rats with liver cancer induced by Diethylnitrosamine injection further confirmed the upregulation of miR-141 level, IL-10, and TNF-α and the disturbance in KLK10 and TNFSF-15 gene expression compared with their expression in normal rats. The in-silico online tools, IntaRNA and miRWalk were used to confirm the direct interaction and potential binding sites between miR-141 and identified genes. Thus, the seeding regions of potential targeted sequences was cloned upstream of luciferase reporter gene in pGL3 control vector. Interestingly, the luciferase activities of constructed vectors were significantly decreased in HepG2 cells pre-transfected with miR-141 overexpression vector, while increasing in cells pre-transfected with miR-141 specific inhibitor. In summary, these data suggest the crucial role of miR-141 in liver cancer development via targeting KLK10 and TNFSF-15 and provide miR-141 as an attractive candidate in liver cancer treatment and protection.
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Affiliation(s)
- Ahmed M Awad
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Emad Dabous
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Mai Alalem
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Nedaa Alalem
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Mahmoud E Nasr
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Khaled A Elawdan
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Ghada M Nasr
- Molecular Diagnostics Department, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Walid Said
- Microbiology and Chemistry Department, Faculty of Science, Benha University, Benha, Egypt
| | - Kareem El Khashab
- Medical Laboratory Department, High Technology Institute of Applied Health Science, Badr Academy for Science and Technology, Badr City, Egypt
| | - Mohamed S Basiouny
- School of Biotechnology, Badr University in Cairo, Badr City, Cairo, Egypt
| | - Adel A Guirgis
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Hany Khalil
- Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, 32897, Sadat City, Egypt.
- Department of Molecular Diagnosis, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt.
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Wu K, Wu B, Yan K, Ding Q, Miao Z. KLK10 promotes the progression of KRAS mutant colorectal cancer via PAR1-PDK1-AKT signaling pathway. Cell Biol Int 2024; 48:440-449. [PMID: 38115179 DOI: 10.1002/cbin.12113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/05/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Kirsten rat sarcoma virus (KRAS) gene mutation is common in colorectal cancer (CRC) and is often predictive of treatment failure and poor prognosis. To understand the mechanism, we compared the transcriptome of CRC patients with wild-type and mutant KRAS and found that KRAS mutation is associated with the overexpression of a secreted serine protease, kallikrein-related peptidase 10 (KLK10). Moreover, using in vitro and in vivo models, we found that KLK10 overexpression favors the rapid growth and liver metastasis of KRAS mutant CRC and can also impair the efficacy of KRAS inhibitors, leading to drug resistance and poor survival. Further functional assays revealed that the oncogenic role of KLK10 is mediated by protease-activated receptor 1 (PAR1). KLK10 cleaves and activates PAR1, which further activates 3-phosphoinositide-dependent kinase 1 (PDK1)-AKT oncogenic pathway. Notably, suppressing PAR1-PDK1-AKT cascade via KLK10 knockdown can effectively inhibit CRC progression and improve the sensitivity to KRAS inhibitor, providing a promising therapeutic strategy. Taken together, our study showed that KLK10 promotes the progression of KRAS mutant CRC via activating PAR1-PDK1-AKT signaling pathway. These findings expanded our knowledge of CRC development, especially in the setting of KRAS mutation, and also provided novel targets for clinical intervention.
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Affiliation(s)
- Kun Wu
- Department of Abdominal Surgery, Jiangxi Cancer Hospital, Nanchang, Jiangxi, China
| | - Boyu Wu
- Department of General Surgery, Shangrao Municipal Hospital, Shangrao, Jiangxi, China
| | - Kangpeng Yan
- Department of Abdominal Surgery, Jiangxi Cancer Hospital, Nanchang, Jiangxi, China
| | - Qunhua Ding
- Department of Abdominal Surgery, Jiangxi Cancer Hospital, Nanchang, Jiangxi, China
| | - Zhiguo Miao
- Department of Abdominal Surgery, Jiangxi Cancer Hospital, Nanchang, Jiangxi, China
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Ni T, Zhao RH, Wu JF, Li CY, Xue G, Lin X. KLK7, KLK10, and KLK11 in Papillary Thyroid Cancer: Bioinformatic Analysis and Experimental Validation. Biochem Genet 2024:10.1007/s10528-024-10679-8. [PMID: 38316654 DOI: 10.1007/s10528-024-10679-8] [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: 05/30/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024]
Abstract
Despite many studies on papillary thyroid carcinoma (PTC) in the past few decades, some critical and significant genes remain undiscovered. To explore genes that may play crucial roles in PTC, a detailed analysis of the expression levels, mutations, and clinical significance of Kallikrein-related peptidases (KLKs) family genes in PTC was undertaken to provide new targets for the precise treatment of the disease. A comprehensive analysis of KLK family genes was performed using various online tools, such as GEPIA, Kaplan-Meier Plotter, LinkedOmics, GSCA, TIMER, and Cluego. KLK7, KLK10, and KLK11 were critical factors of KLK family genes. Then, functional assays were carried out on KLK7/10/11 to determine their proliferation, migration, and invasion capabilities in PTC. The mRNA expression levels of KLK7, KLK10, KLK11, and KLK13 were significantly elevated in thyroid carcinoma, while KLK1, KLK2, KLK3 and KLK4 mRNA levels were decreased compared to normal tissues. Correlations between KLK2/7-12/15 expression levels and tumor stage were also observed in thyroid carcinoma. Survival analysis demonstrated that KLK4/5/7/9-12/14 was associated with overall survival in patients with thyroid cancer. Not only were KLK genes strongly associated with cancer-related pathways, but also KLK7/10/11 was associated with immune-cell infiltration. Finally, silencing KLK7/10/11 impaired human papillary thyroid carcinoma cells' growth, migration ability, and invasiveness. The increased expression of KLK7, KLK10, and KLK11 may serve as molecular markers to identify PTC patients. KLK7, KLK10, and KLK11 could be potential prognostic indicators and targets for precision therapy against PTC.
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Affiliation(s)
- Tao Ni
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, China
| | - Ru-Hua Zhao
- Department of Morphology Laboratory, Hebei North University, Zhangjiakou, 075000, China
| | - Jing-Fang Wu
- Department of Morphology Laboratory, Hebei North University, Zhangjiakou, 075000, China
| | - Chao-You Li
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, China
| | - Gang Xue
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, China.
| | - Xu Lin
- Department of Morphology Laboratory, Hebei North University, Zhangjiakou, 075000, China.
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Luo YC, Lv YL, He RX, Shi XX, Jiang T. Kallikrein-related peptidase 10 predicts prognosis and mediates tumor immunomodulation in colorectal cancer. Biochem Biophys Res Commun 2023; 689:149217. [PMID: 37972446 DOI: 10.1016/j.bbrc.2023.149217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/20/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023]
Abstract
The incidence and mortality rates of colorectal cancer (CRC) have significantly increased in recent years. It has been shown that early diagnosis of CRC improves the five-year survival of patients compared to late diagnosis, as patients with stage I disease have a five-year survival rate as high as 90 %. Through bioinformatics analysis, we identified Kallikrein 10 (KLK10), a member of the Kallikrein family, as a reliable predictor of CRC progression, particularly in patients with early-stage CRC. Furthermore, single-cell analysis revealed that KLK10 was highly expressed in tumor and partial immune cells. Analysis of the biological functions of KLK10 using the Kyoto encyclopedia of genes and genomes and gene ontology indicated that KLK10 plays a role in the proliferation and differentiation of cancer cells, along with the maintenance of tumor function and immune regulation, explicitly by T cells and macrophages. EdU cell proliferation staining, plate clone formation assay, and cell scratch assay demonstrated that KLK10 inhibition by siRNA affected the proliferation and migration of CRC cells. Cell cycle detection by flow cytometry demonstrated that KLK10 inhibition led to cell cycle arrest in the G1 phase. In addition, the proportion of M1 and M2 macrophages in 45 tumor specimens was analyzed by immunohistochemistry, the proportion of CD4+ T cells and CD8+ T cells in plasma was identified by flow cytometry, and their correlation with KLK10 was analyzed. The effects of KLK10 on T cells and macrophages were verified in independent cell experiments. The results revealed that KLK10 also activates CD4+ T cells, mediating M2-type macrophage polarization.
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Affiliation(s)
- Yi-Chao Luo
- Hunan Hospital of Traditional Chinese Medicine, Changsha, Hunan, China
| | - Yuan-Lin Lv
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Ruo-Xu He
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Xiao-Xia Shi
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Tao Jiang
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Key Laboratory of Blood-stasis-toxin Syndrome of Zhejiang Province, Hangzhou, Zhejiang, China.
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Sahoo B, Pinnix Z, Sims S, Zelikovsky A. Identifying Biomarkers Using Support Vector Machine to Understand the Racial Disparity in Triple-Negative Breast Cancer. J Comput Biol 2023; 30:502-517. [PMID: 36716280 PMCID: PMC10325814 DOI: 10.1089/cmb.2022.0422] [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] [Indexed: 02/01/2023] Open
Abstract
With the properties of aggressive cancer and heterogeneous tumor biology, triple-negative breast cancer (TNBC) is a type of breast cancer known for its poor clinical outcome. The lack of estrogen, progesterone, and human epidermal growth factor receptor in the tumors of TNBC leads to fewer treatment options in clinics. The incidence of TNBC is higher in African American (AA) women compared with European American (EA) women with worse clinical outcomes. The significant factors responsible for the racial disparity in TNBC are socioeconomic lifestyle and tumor biology. The current study considered the open-source gene expression data of triple-negative breast cancer samples' racial information. We implemented a state-of-the-art classification Support Vector Machine (SVM) method with a recurrent feature elimination approach to the gene expression data to identify significant biomarkers deregulated in AA women and EA women. We also included Spearman's rho and Ward's linkage method in our feature selection workflow. Our proposed method generates 24 features/genes that can classify the AA and EA samples 98% accurately. We also performed the Kaplan-Meier analysis and log-rank test on the 24 features/genes. We only discussed the correlation between deregulated expression and cancer progression with a poor survival rate of 2 genes, KLK10 and LRRC37A2, out of 24 genes. We believe that further improvement of our method with a higher number of RNA-seq gene expression data will more accurately provide insight into racial disparity in TNBC.
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Affiliation(s)
- Bikram Sahoo
- Department of Computer Science, Georgia State University, Atlanta, Georgia, USA
| | - Zandra Pinnix
- Department of Biology and Marine Biology, University of North Carolina at Wilmington, Wilmington, North Carolina, USA
| | - Seth Sims
- Department of Computer Science, Georgia State University, Atlanta, Georgia, USA
| | - Alex Zelikovsky
- Department of Computer Science, Georgia State University, Atlanta, Georgia, USA
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