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Saranya I, Dharshini VS, Akshaya RL, Subhashini PS, Selvamurugan N. Regulatory and therapeutic implications of competing endogenous RNA network in breast cancer progression and metastasis: A review. Int J Biol Macromol 2024; 266:131075. [PMID: 38531528 DOI: 10.1016/j.ijbiomac.2024.131075] [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: 01/30/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 03/28/2024]
Abstract
Breast cancer (BC) is a global health concern, and development of diagnostic tools and targeted treatments for BC remains challenging. Therapeutic approaches for BC often involve a combination of surgery, radiation therapy, chemotherapy, targeted therapy, and hormone therapy. In recent years, there has been a growing interest in the role of noncoding RNAs (ncRNAs), including long ncRNAs (lncRNAs) and microRNAs (miRNAs), in BC and their therapeutic implications. Various biological processes such as cell proliferation, migration, and apoptosis rely on the activities of these ncRNAs, and their dysregulation has been implicated in BC progression. The regulatory function of the competitive endogenous RNA (ceRNA) network, which comprises lncRNAs, miRNAs, and mRNAs, has been the subject of extensive pathophysiological research. Most lncRNAs serve as molecular sponges for miRNAs and sequester their activities, thereby regulating the expression of target mRNAs and contributing to the promotion or inhibition of BC progression. This review summarizes recent findings on the role of ceRNA networks in BC progression, metastasis, and therapeutic resistance, and highlights the association of ceRNA networks with transcription factors and signaling pathways. Understanding the ceRNA network can lead to the discovery of biomarkers and targeted treatment methods to prevent the spread and metastasis of BC.
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Affiliation(s)
- I Saranya
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India
| | - V Sowfika Dharshini
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India
| | - R L Akshaya
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India
| | - P Sakthi Subhashini
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India
| | - N Selvamurugan
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India.
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Fantone S, Piani F, Olivieri F, Rippo MR, Sirico A, Di Simone N, Marzioni D, Tossetta G. Role of SLC7A11/xCT in Ovarian Cancer. Int J Mol Sci 2024; 25:587. [PMID: 38203758 PMCID: PMC10779187 DOI: 10.3390/ijms25010587] [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: 11/18/2023] [Revised: 12/21/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
Ovarian cancer is one of the most dangerous gynecologic cancers worldwide and has a high fatality rate due to diagnosis at an advanced stage of the disease as well as a high recurrence rate due to the occurrence of chemotherapy resistance. In fact, chemoresistance weakens the therapeutic effects, worsening the outcome of this pathology. Solute Carrier Family 7 Member 11 (SLC7A11, also known as xCT) is the functional subunit of the Xc- system, an anionic L-cystine/L-glutamate antiporter expressed on the cell surface. SLC7A11 expression is significantly upregulated in several types of cancers in which it can inhibit ferroptosis and favor cancer cell proliferation, invasion and chemoresistance. SLC7A11 expression is also increased in ovarian cancer tissues, suggesting a possible role of this protein as a therapeutic target. In this review, we provide an overview of the current literature regarding the role of SLC7A11 in ovarian cancer to provide new insights on SLC7A11 modulation and evaluate the potential role of SLC7A11 as a therapeutic target.
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Affiliation(s)
- Sonia Fantone
- Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy; (S.F.); (F.O.)
| | - Federica Piani
- Hypertension and Cardiovascular Risk Research Center, Medical and Surgical Sciences Department, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
| | - Fabiola Olivieri
- Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy; (S.F.); (F.O.)
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, 60126 Ancona, Italy;
| | - Maria Rita Rippo
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, 60126 Ancona, Italy;
| | - Angelo Sirico
- Obstetrics and Gynecology Unit, Sant’Anna e San Sebastiano Hospital, 81100 Caserta, Italy;
| | - Nicoletta Di Simone
- Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy;
- IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy
| | - Daniela Marzioni
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, 60126 Ancona, Italy;
| | - Giovanni Tossetta
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, 60126 Ancona, Italy;
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Qi W, Niu N, Zhao J, Liu H, Yang F. MiR-301b-3p can be used as a Potential Marker for the Diagnosis of Lung Adenocarcinoma. Comb Chem High Throughput Screen 2024; 27:1131-1139. [PMID: 37605415 DOI: 10.2174/1386207326666230821112230] [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: 12/13/2022] [Revised: 06/30/2023] [Accepted: 07/20/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND The involvement of aberrantly expressed miR-301b-3p has been discovered in diverse human tumors. Our study was primarily centered around the role of miR-301b-3p in diagnosing lung adenocarcinoma (LUAD). METHOD We used the TCGA database to download the TCGA-LUAD dataset and selected miR- 301b-3p as the object of our study by differential expression analysis of miRNAs combined with previous studies. The LUAD diagnostic model was constructed utilizing machine learning based on miR-301b-3p expression. The predictive performance of the diagnostic model was found to be excellent by ROC curves combined with the clinical information of the dataset samples. GSEA, GO, and KEGG enrichment analyses demonstrated that miR-301b-3p may mediate the cell cycle by regulating the expression of hormones. Subsequently, combined with tumor immunity and mutation analysis, it was found that patients in the low-expression group had better immune infiltration, indicating that their response rate to immunotherapy may be relatively high. Finally, a mouse xenograft model was constructed to verify how miR-301b-3p affected LUAD progression in mice. RESULT The results illustrated that overexpressed miR-301b-3p could cause faster tumor growth in mice. On the contrary, the growth of LUAD could be impeded by the downregulated miR-301b-3p expression. It was suggested that miR-301b-3p had a crucial part in LUAD progression. CONCLUSION Overall, the diagnostic performance of the LUAD diagnostic model constructed based on miR-301b-3p is great, and the model can be used as a potential diagnostic marker for LUAD to provide new ideas for clinical diagnosis.
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Affiliation(s)
- Weibo Qi
- Department of Cardiothoracic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 31400, China
| | - Niu Niu
- Department of Cardiothoracic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 31400, China
| | - Junjie Zhao
- Department of Cardiothoracic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 31400, China
| | - Haitao Liu
- Department of Cardiothoracic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 31400, China
| | - Fan Yang
- Department of Cardiothoracic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 31400, China
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Li Y, Xu K, Zhang Y, Mao H, Qiu Q, Yan Z, Liu X, Du Y, Chen Z. Identification of a basement membrane-related genes signature with immune correlation in bladder urothelial carcinoma and verification in vitro. BMC Cancer 2023; 23:1021. [PMID: 37872487 PMCID: PMC10591420 DOI: 10.1186/s12885-023-11340-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 08/26/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Bladder urothelial carcinoma (BLCA) is the most common genitourinary cancer and the prognosis of patients is often poor. However, studies of basement membrane-related genes (BM-related genes) in BLCA are less reported. Therefore, we established a BM-related genes signature to explore their functional and prognostic value in BLCA. METHODS In this study, a BM-related genes signature was constructed by LASSO-Cox regression analysis, and then a series of bioinformatics methods was used to assess the accuracy and validity of the signature. We constructed a nomogram for clinical application and also screened for possible therapeutic drugs. To investigate the functions and pathways affected by BM-related genes in BLCA, we performed functional enrichment analyses. In addition, we analyzed the immune cell infiltration landscape and immune checkpoint-related genes in the high and low-risk groups. Finally, we confirmed the prognostic value of BM-related genes in BLCA in vitro. RESULTS Combining multiple bioinformatics approaches, we identified a seven-gene signature. The accuracy and validity of this signature in predicting BLCA patients were confirmed by the test cohort. In addition, the risk score was strongly correlated with prognosis, immune checkpoint genes, drug sensitivity, and immune cell infiltration landscape. The risk score is an independent prognostic factor for BLCA patients. Further experiments revealed that all seven signature genes were differentially expressed between BLCA cell lines and normal bladder cells. Finally, overexpression of LAMA2 inhibited the migration and invasion ability of BLCA cell lines. CONCLUSIONS In summary, the BM-related genes signature was able to predict the prognosis of BLCA patients accurately, indicating that the BM-related genes possess great clinical value in the diagnosis and treatment of BLCA. Moreover, LAMA2 could be a potential therapeutic target, which provides new insights into the application of the BM-related genes in BLCA patients.
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Affiliation(s)
- Yanze Li
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Kai Xu
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Ye Zhang
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Hu Mao
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Qiangmin Qiu
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Zhiwei Yan
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China
| | - Xiuheng Liu
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
| | - Yang Du
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
| | - Zhiyuan Chen
- Department of Urology, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
- Institute of Urologic Disease, Renmin Hospital, Wuhan University, Wuhan, 430060, Hubei, China.
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Hjazi A, Obaid RF, Ali SS, Abdullaev B, Alsaab HO, Huldani H, Romero-Parra RM, Mustafa YF, Hussien BM, Saadoon SJ. The cross-talk between LncRNAs and JAK-STAT signaling pathway in cancer. Pathol Res Pract 2023; 248:154657. [PMID: 37451194 DOI: 10.1016/j.prp.2023.154657] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
Long non-coding RNAs (lncRNAs) are non-coding RNAs that were transcribed from the human genome and have become important regulators in a number of cellular activities, mostly via controlling gene expression. A growing body of evidence shows that lncRNAs regulate various factors to impact various biological activities that are related to tumorigenesis, including the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway. lncRNAs influence the JAK-STAT signaling pathway either by directly targeting or via indirectly modulating other upstream or downstream pathways' components like members of the suppressor of cytokine signaling (SOCS) family, and other genes that regulate cell proliferation, apoptosis, migration, invasion, and epithelial-mesenchymal transition. Furthermore, lncRNAs can act as downstream effectors of the JAK-STAT pathway and mediates tumorigenesis. The relationship between JAK-STAT signaling and lncRNAs differs among various types of cancers. Besides, lncRNAs, as biological molecules, have been shown to play a dual role in either tumorigenesis or tumor suppression in various cancers. In this review, we focus on the reciprocated regulation and functions of lncRNAs and the JAK-STAT signaling pathway in cancer, as well as narrate the latest research progress on this association. A deeper understanding of this correlation may simplify the recognition of potential targets for clinical therapeutics.
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Affiliation(s)
- Ahmed Hjazi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
| | - Rasha Fadhel Obaid
- Department of Biomedical Engineering, Al-Mustaqbal University College, Babylon, Iraq.
| | - Sally Saad Ali
- College of Dentistry, Al-Bayan University, Baghdad, Iraq.
| | - Bekhzod Abdullaev
- Department of Strategic Developement, Innovation and Research, New Uzbekistan University, 54 Mustaqillik Ave., Tashkent 100007, Uzbekistan; Senior researcher, Editory LLC, Tashkent 100050, Uzbekistan; Department of R&D, Independent Agency for Research Strategy, Tashkent 100050, Uzbekistan.
| | - Hashem O Alsaab
- Department of Pharmaceutics and Pharmaceutical Technology, Taif University, Taif 21944, Saudi Arabia.
| | - Huldani Huldani
- Department of Physiology, Faculty of Medicine, Lambung Mangkurat University, Banjarmasin, South Kalimantan, Indonesia.
| | - Rosario Mireya Romero-Parra
- Universidad Continental, Lima, Perú; Department of General Studies, University of Universidad Continental, Lima, Perú.
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul 41001, Iraq.
| | - Beneen M Hussien
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
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Tian Y, Dong J, Li L. Bridging Pyroptosis and Immunity: A Comprehensive Study of the Pyroptosis-Related Long Non-Coding RNA Signature in Breast Cancer. Life (Basel) 2023; 13:1599. [PMID: 37511974 PMCID: PMC10381440 DOI: 10.3390/life13071599] [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: 06/06/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Breast cancer continuously poses serious clinical challenges to human health due to its intrinsic heterogenicity and evolving drug resistance. Recently, increasing evidence has shown that pyroptosis, known as a programmed and inflammatory form of cell death, participates in tumorigenesis, progression, and remodeling of the tumor immune microenvironment (TIME). However, a comprehensive insight into pyroptosis-related signatures for breast cancer remains elusive. The current study established a pyroptosis-related lncRNA signature using transcriptome data and corresponding clinical information from The Cancer Genome Atlas (TCGA). Pyroptosis-related gene clusters, the associated differential expression in breast cancer patients' subtypes, and the potential mechanisms were all discussed. This integrative analysis revealed a unique signature underpinning the dichotomy of breast cancer progression and survival outcomes. Interestingly, the pyroptosis-related lncRNA signature was revealed as closely intertwined with the TIME. A correlation was established between the pyroptosis-related LncRNA signature and the TIME, underlying the mutual effect between pyroptosis and the immune responses implicated in breast cancer. The findings in this work underline the critical role exerted by pyroptosis in breast cancer, providing new insights into disease progression, prognosis, and therapeutic potential. This work has been poised to provide new avenues for personalized, immune-based cancer therapeutics by enhancing our understanding of pyroptosis in breast cancer.
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Affiliation(s)
- Ye Tian
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang 110866, China
| | - Jing Dong
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang 110866, China
| | - Lin Li
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang 110866, China
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Liu Y, Liu Y, Ye S, Feng H, Ma L. A new ferroptosis-related signature model including messenger RNAs and long non-coding RNAs predicts the prognosis of gastric cancer patients. J Transl Int Med 2023; 11:145-155. [PMID: 38025952 PMCID: PMC10680379 DOI: 10.2478/jtim-2023-0089] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Background and Objectives Gastric cancer (GC) is among the most malignant tumor types, which causes heavy healthy and economic burden to the people and societies all around the world. Establishment of an effective set of prognostic marker will benefit a lot to the treatment of GC patients clinically. Ferroptosis is a newly identified regulated cell death modality, with tight relevance with GC development. However, its application in the prognosis of GC has not been studied in detail. Deregulated messenger RNA (mRNA) and long non-coding RNA (lncRNA) expression profile in tumor can serve as novel prognostic marker for predicting the survival and cancer relapse in patients. Methods We downloaded ferroptosis-related gene expression microarray data, clinicopathologic information and a list of 259 ferroptosis-related genes from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Ferroptosis database, respectively. Then, correlation analysis, univariate and multivariate Cox regression analysis were used to construct a novel prognostic model for GC. Then, we validated the model in the GEO datasets. Finally, we evaluated the differences in immune microenvironment between high- and low-risk groups. Results We utilized the ferroptosis-related mRNA and lncRNA profile to successfully construct a prognostic model (incorporating 2 mRNAs and 15 lncRNAs) in GC. Our model, integrating diverse clinical traits and critical factors of GC, showed desirable efficacy in the prognosis of GC patients. This model also manifested effectively in validation by using external patients' data. Conclusions Our study developed a novel ferroptosis-related signature to predict the prognosis of gastric cancer patients. The ferroptosis-related signature had a favorable predictive ability. This model may greatly boost the treatment of GC patients in clinical practice.
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Affiliation(s)
- Yang Liu
- Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun130033, Jilin Province, China
| | - Yanqing Liu
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York10032, NY, USA
| | - Shujun Ye
- Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun130033, Jilin Province, China
| | - Huijin Feng
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York10032, NY, USA
| | - Lianjun Ma
- Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun130033, Jilin Province, China
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Hashemi M, Hasani S, Hajimazdarany S, Ghadyani F, Olyaee Y, Khodadadi M, Ziyarani MF, Dehghanpour A, Salehi H, Kakavand A, Goharrizi MASB, Aref AR, Salimimoghadam S, Akbari ME, Taheriazam A, Hushmandi K, Entezari M. Biological functions and molecular interactions of Wnt/β-catenin in breast cancer: Revisiting signaling networks. Int J Biol Macromol 2023; 232:123377. [PMID: 36702226 DOI: 10.1016/j.ijbiomac.2023.123377] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/27/2022] [Accepted: 01/15/2023] [Indexed: 01/24/2023]
Abstract
Changes in lifestyle such as physical activity and eating habits have been one of the main reasons for development of various diseases in modern world, especially cancer. However, role of genetic factors in initiation of cancer cannot be ignored and Wnt/β-catenin signaling is such factor that can affect tumor progression. Breast tumor is the most malignant tumor in females and it causes high mortality and morbidity around the world. The survival and prognosis of patients are not still desirable, although there have been advances in introducing new kinds of therapies and diagnosis. The present review provides an update of Wnt/β-catenin function in breast cancer malignancy. The upregulation of Wnt is commonly observed during progression of breast tumor and confirms that tumor cells are dependent on this pathway Wnt/β-catenin induction prevents apoptosis that is of importance for mediating drug resistance. Furthermore, Wnt/β-catenin signaling induces DNA damage repair in ameliorating radio-resistance. Wnt/β-catenin enhances proliferation and metastasis of breast tumor. Wnt/β-catenin induces EMT and elevates MMP expression. Furthermore, Wnt/β-catenin participates in tumor microenvironment remodeling and due to its tumor-promoting factor, drugs for its suppression have been developed. Different kinds of upstream mediators Wnt/β-catenin signaling in breast cancer have been recognized that their targeting is a therapeutic approach. Finally, Wnt/β-catenin can be considered as a biomarker in clinical trials.
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Affiliation(s)
- Mehrdad Hashemi
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Sahar Hasani
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Shima Hajimazdarany
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Cellular and Molecular Biology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Fatemeh Ghadyani
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Yeganeh Olyaee
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Marzieh Khodadadi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Maryam Fallah Ziyarani
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Amir Dehghanpour
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Hasti Salehi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Amirabbas Kakavand
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | | | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Translational Sciences, Xsphera Biosciences Inc., 6 Tide Street, Boston, MA 02210, USA
| | - Shokooh Salimimoghadam
- Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | | | - Afshin Taheriazam
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Orthopedics, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
| | - Kiavash Hushmandi
- Department of Food Hygiene and Quality Control, Division of Epidemiology & Zoonoses, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
| | - Maliheh Entezari
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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LncRNA MBNL1-AS1 Suppresses Cell Proliferation and Metastasis of Pancreatic Adenocarcinoma through Targeting Carcinogenic miR-301b-3p. Genet Res (Camb) 2023; 2023:6785005. [PMID: 36908851 PMCID: PMC9995204 DOI: 10.1155/2023/6785005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/20/2023] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
Pancreatic adenocarcinoma (PAAD) has been a huge challenge to public health due to its increasing incidence, frequent early metastasis, and poor outcome. The molecular basis of tumorigenesis and metastasis in PAAD is largely unclear. Here, we identified a novel tumor-suppressor long noncoding RNA (lncRNA) MBNL1-AS1, in PAAD and revealed its downstream mechanism. Quantitative real-time PCR (qRT-PCR) data showed that MBNL1-AS1 expression was significantly downregulated in PAAD tissues and cells, which was closely associated with metastasis and poor prognosis. Cell counting kit-8 (CCK-8) assay, transwell assay, and western blot verified that overexpression of MBNL1-AS1 suppressed cell proliferation, migration, and epithelial mesenchymal transformation (EMT) behavior in PAAD cells. By using a dual luciferase reporter gene system, we confirmed that miR-301b-3p was a direct target of MBNL1-AS1. Further mechanismic study revealed that upregulation of miR-301b-3p abolished the inhibitory effect of MBNL1-AS1 overexpression on cell proliferation, tumorigenesis, migration and EMT. Our results demonstrate that MBNL1-AS1 plays a tumor-suppressive role in PAAD mainly by downregulating miR-301b-3p, providing a novel therapeutic target for PAAD.
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Jiang F, Chen X, Shen Y, Shen X. Identification and Validation of an m6A Modification of JAK-STAT Signaling Pathway–Related Prognostic Prediction Model in Gastric Cancer. Front Genet 2022; 13:891744. [PMID: 35928449 PMCID: PMC9343854 DOI: 10.3389/fgene.2022.891744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Gastric cancer (GC) is one of the malignant tumors worldwide. Janus (JAK)–signal transduction and activator of transcription (STAT) signaling pathway is involved in cellular biological process and immune function. However, the association between them is still not systematically described. Therefore, in this study, we aimed to identify key genes involved in JAK-STAT signaling pathway and GC, as well as the potential mechanism. Methods: The Cancer Genome Atlas (TCGA) database was the source of RNA-sequencing data of GC patients. Gene Expression Omnibus (GEO) database was used as the validation set. The predictive value of the JAK-STAT signaling pathway-related prognostic prediction model was examined using least absolute shrinkage and selection operator (LASSO); survival, univariate, and multivariate Cox regression analyses; and receiver operating characteristic curve (ROC) analyses to examine the predictive value of the model. Quantitative real-time polymerase chain reaction (qRT-PCR) and chi-square test were used to verify the expression of genes in the model and assess the association between the genes and clinicopathological parameters of GC patients, respectively. Then, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis, version 3.0 (GSEA), sequence-based RNA adenosine methylation site predictor (SRAMP) online websites, and RNA immunoprecipitation (RIP) experiments were used to predict the model-related potential pathways, m6A modifications, and the association between model genes and m6A. Results: A four-gene prognostic model (GHR, PIM1, IFNA8, and IFNB1) was constructed, namely, riskScore. The Kaplan–Meier curves suggested that patients with high riskScore expression had a poorer prognosis than those with low riskScore expression (p = 0.006). Multivariate Cox regression analyses showed that the model could be an independent predictor (p < 0.001; HR = 3.342, 95%, CI = 1.834–6.088). The 5-year area under time-dependent ROC curve (AUC) reached 0.655. The training test set verified these results. Further analyses unveiled an enrichment of cancer-related pathways, m6A modifications, and the direct interaction between m6A and the four genes. Conclusion: This four-gene prognostic model could be applied to predict the prognosis of GC patients and might be a promising therapeutic target in GC.
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Affiliation(s)
- Fei Jiang
- Key Laboratory of Environmental Medical Engineering and Education Ministry, Nanjing Public Health College, Southeast University, Nanjing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiaowei Chen
- Key Laboratory of Environmental Medical Engineering and Education Ministry, Nanjing Public Health College, Southeast University, Nanjing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Yan Shen
- Key Laboratory of Environmental Medical Engineering and Education Ministry, Nanjing Public Health College, Southeast University, Nanjing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiaobing Shen
- Key Laboratory of Environmental Medical Engineering and Education Ministry, Nanjing Public Health College, Southeast University, Nanjing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
- Department of Occupational and Environmental Health, School of Public Health, Southeast University, Nanjing, China
- *Correspondence: Xiaobing Shen,
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Wang N, Huo X, Zhang B, Chen X, Zhao S, Shi X, Xu H, Wei X. METTL3-Mediated ADAMTS9 Suppression Facilitates Angiogenesis and Carcinogenesis in Gastric Cancer. Front Oncol 2022; 12:861807. [PMID: 35574388 PMCID: PMC9097454 DOI: 10.3389/fonc.2022.861807] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/22/2022] [Indexed: 01/04/2023] Open
Abstract
The role of methyltransferase-like 3 (METTL3), which participates in catalyzing N-methyladenosine (m6A) RNA modification, in gastric cancer (GC) is unclear. Here, we found that METTL3 was overexpressed in human GC. Functionally, we verified that METTL3 promoted tumor cell proliferation and angiogenesis through a series of phenotypic experiments. Subsequently, ADAMTS9 was identified as the downstream effector of METTL3 in GC, which could be degraded by the YTHDF2-dependent pathway. Finally, the data suggested that METTL3 might facilitate GC progression through the ADAMTS9-mediated PI3K/AKT pathway. Our study unveiled the fundamental mechanisms of METTL3 in GC progression. The clinical value of METTL3 in GC deserves further exploration.
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Affiliation(s)
- Nuofan Wang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinying Huo
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Baoguo Zhang
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaoxiang Chen
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Shuli Zhao
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xuesong Shi
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaowei Wei
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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12
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Wei T, Zhu N, Jiang W, Xing XL. Development and Validation of Ferroptosis- and Immune-Related lncRNAs Signatures for Breast Infiltrating Duct and Lobular Carcinoma. Front Oncol 2022; 12:844642. [PMID: 35444943 PMCID: PMC9015165 DOI: 10.3389/fonc.2022.844642] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/09/2022] [Indexed: 01/11/2023] Open
Abstract
Background Heterogeneity of breast cancer (BRCA) is significantly correlated with its prognosis. Target therapy for ferroptosis and immunity is a new cancer treatment option discovered in recent years. In the present study, we aimed to identify ferroptosis- and immune-related long non-coding RNAs (lncRNAs) to accurately predict the prognosis and diagnosis of patients with breast infiltrating duct and lobular carcinoma by integrated analyses. Methods The corresponding data for the patients with breast infiltrating duct and lobular carcinoma by integrated analyses were obtained from The Cancer Genome Atlas (TCGA). Analyses of univariate and multivariate Cox regressions were used to identify the suitable candidate biomarkers. Results We found that seven ferroptosis- and immune-related differentially expressed lncRNAs (FI-DELs) (AC007686.3, AC078883.1, ADAMTS9-AS1, AL035661.1, CBR3-AS1, FTX, and TMEM105) were correlated with the overall survival of patients with breast infiltrating duct and lobular carcinoma. The areas under the receiver operating characteristic (AUCs) value of the prognosis model were all over 0.6 in training, validation, and entire groups. The sensitivity and specificity of the diagnosis model was 87.84% and 97.06%, respectively. Conclusions Through a series of bioinformatics analyses, we found that the seven FI-DELs could serve as prognostic and diagnostic biomarkers for patients with breast infiltrating duct and lobular carcinoma. However, whether these seven biomarkers could be really applied to the clinic requires further investigations.
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Affiliation(s)
- Tao Wei
- Department of Surgical Oncology, Urumqi Friendship Hospital, Urumqi, China
| | - Ning Zhu
- School of Public Health and Laboratory Medicine, Hunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, Hunan University of Medicine, Huaihua, China
| | - Weihua Jiang
- Department of Breast Surgery, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiao-Liang Xing
- School of Public Health and Laboratory Medicine, Hunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, Hunan University of Medicine, Huaihua, China
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