1
|
Syed RU, Banu H, Alshammrani A, Alshammari MD, G SK, Kadimpati KK, Khalifa AAS, Aboshouk NAM, Almarir AM, Hussain A, Alahmed FK. MicroRNA-21 (miR-21) in breast cancer: From apoptosis dysregulation to therapeutic opportunities. Pathol Res Pract 2024; 262:155572. [PMID: 39226804 DOI: 10.1016/j.prp.2024.155572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/21/2024] [Accepted: 08/28/2024] [Indexed: 09/05/2024]
Abstract
Breast cancer, a pervasive and complex disease, continues to pose significant challenges in the field of oncology. Its heterogeneous nature and diverse molecular profiles necessitate a nuanced understanding of the underlying mechanisms driving tumorigenesis and progression. MicroRNA-21 (miR-21) has emerged as a crucial player in breast cancer development and progression by modulating apoptosis, a programmed cell death mechanism that eliminates aberrant cells. MiR-21 overexpression is a hallmark of breast cancer, and it is associated with poor prognosis and resistance to conventional therapies. This miRNA exerts its oncogenic effects by targeting various pro-apoptotic genes, including Fas ligand (FasL), programmed cell death protein 4 (PDCD4), and phosphatase and tensin homolog (PTEN). By suppressing these genes, miR-21 promotes breast cancer cell survival, proliferation, invasion, and metastasis. The identification of miR-21 as a critical regulator of apoptosis in breast cancer has opened new avenues for therapeutic intervention. This review investigates the intricate mechanisms through which miR-21 influences apoptosis, offering insights into the molecular pathways and signaling cascades involved. The dysregulation of apoptosis is a hallmark of cancer, and understanding the role of miR-21 in this context holds immense therapeutic potential. Additionally, the review highlights the clinical significance of miR-21 as a diagnostic and prognostic biomarker in breast cancer, underscoring its potential as a therapeutic target.
Collapse
Affiliation(s)
- Rahamat Unissa Syed
- Department of Pharmaceutics, College of Pharmacy, University of Ha'il, Hail 81442, Saudi Arabia.
| | - Humera Banu
- Department of Clinical Nutrition, College of Applied Medical Sciences, University of Hail, Hail, Saudi Arabia.
| | - Alia Alshammrani
- Department of Pharmaceutics, College of Pharmacy, University of Ha'il, Hail 81442, Saudi Arabia
| | - Maali D Alshammari
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail 81442, Saudi Arabia
| | - Satheesh Kumar G
- Department of Pharmaceutical Chemistry, College of Pharmacy, Seven Hills College of Pharmacy, Venkataramapuram, Tirupati, India
| | - Kishore Kumar Kadimpati
- Department of Environmental Biotechnology, Faculty of Energy and Environmental Engineering, The Silesian University of Technology, Poland
| | - Amna Abakar Suleiman Khalifa
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Hail 81442, Saudi Arabia
| | - Nayla Ahmed Mohammed Aboshouk
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Hail 81442, Saudi Arabia
| | | | - Arshad Hussain
- Department of Clinical Pharmacy, College of Pharmacy, University of Ha'il, Hail 81442, Saudi Arabia
| | - Farah Khaled Alahmed
- Department of Clinical Pharmacy, College of Pharmacy, University of Ha'il, Hail 81442, Saudi Arabia
| |
Collapse
|
2
|
Li J, Xiang S, Song X. Screening Nonlinear miRNA Features of Breast Cancer by Using Ensemble Regularized Polynomial Logistic Regression. J Comput Biol 2024; 31:670-690. [PMID: 39017171 DOI: 10.1089/cmb.2023.0289] [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: 07/18/2024] Open
Abstract
Differentiating breast cancer subtypes based on miRNA data helps doctors provide more personalized treatment plans for patients. This paper explored the interaction between miRNA pairs and developed a novel ensemble regularized polynomial logistic regression method for screening nonlinear features of breast cancer. Three different types of second-order polynomial logistic regression with elastic network penalty (SOPLR-EN) in which each type contains 10 identical models were integrated to determine the most suitable sample set for feature screening by using bootstrap sampling strategy. A single feature and 39 nonlinear features were obtained by screening features that appeared at least 15 times in 30 integrations and were involved in the classification of at least 4 subtypes. The second-order polynomial logistic regression with ridge penalty (SOPLR-R) built on screened feature set achieved 82.30% classification accuracy for distinguishing breast cancer subtypes, surpassing the performance of other six methods. Further, 11 nonlinear miRNA biomarkers were identified, and their significant relevance to breast cancer was illustrated through six types of biological analysis.
Collapse
Affiliation(s)
- Juntao Li
- College of Mathematics and Information Science, Henan Normal University, Xinxiang, China
- Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, Xinxiang, China
| | - Shan Xiang
- College of Mathematics and Information Science, Henan Normal University, Xinxiang, China
- Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, Xinxiang, China
| | - Xuekun Song
- College of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China
| |
Collapse
|
3
|
Piergentili R, Marinelli E, Cucinella G, Lopez A, Napoletano G, Gullo G, Zaami S. miR-125 in Breast Cancer Etiopathogenesis: An Emerging Role as a Biomarker in Differential Diagnosis, Regenerative Medicine, and the Challenges of Personalized Medicine. Noncoding RNA 2024; 10:16. [PMID: 38525735 PMCID: PMC10961778 DOI: 10.3390/ncrna10020016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/10/2024] [Accepted: 02/19/2024] [Indexed: 03/26/2024] Open
Abstract
Breast Cancer (BC) is one of the most common cancer types worldwide, and it is characterized by a complex etiopathogenesis, resulting in an equally complex classification of subtypes. MicroRNA (miRNA or miR) are small non-coding RNA molecules that have an essential role in gene expression and are significantly linked to tumor development and angiogenesis in different types of cancer. Recently, complex interactions among coding and non-coding RNA have been elucidated, further shedding light on the complexity of the roles these molecules fulfill in cancer formation. In this context, knowledge about the role of miR in BC has significantly improved, highlighting the deregulation of these molecules as additional factors influencing BC occurrence, development and classification. A considerable number of papers has been published over the past few years regarding the role of miR-125 in human pathology in general and in several types of cancer formation in particular. Interestingly, miR-125 family members have been recently linked to BC formation as well, and complex interactions (competing endogenous RNA networks, or ceRNET) between this molecule and target mRNA have been described. In this review, we summarize the state-of-the-art about research on this topic.
Collapse
Affiliation(s)
- Roberto Piergentili
- Institute of Molecular Biology and Pathology, Italian National Research Council (CNR-IBPM), 00185 Rome, Italy;
| | - Enrico Marinelli
- Department of Medico-Surgical Sciences and Biotechnologies, “Sapienza” University of Rome, 04100 Latina, Italy;
| | - Gaspare Cucinella
- Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy; (G.C.); (A.L.); (G.G.)
| | - Alessandra Lopez
- Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy; (G.C.); (A.L.); (G.G.)
| | - Gabriele Napoletano
- Department of Anatomical, Histological, Forensic and Orthopedic Sciences, Section of Forensic Medicine, “Sapienza” University of Rome, 00161 Rome, Italy;
| | - Giuseppe Gullo
- Department of Obstetrics and Gynecology, Villa Sofia Cervello Hospital, University of Palermo, 90146 Palermo, Italy; (G.C.); (A.L.); (G.G.)
| | - Simona Zaami
- Department of Anatomical, Histological, Forensic and Orthopedic Sciences, Section of Forensic Medicine, “Sapienza” University of Rome, 00161 Rome, Italy;
| |
Collapse
|
4
|
Huang CG, Liu Q, Zheng ST, Liu T, Tan YY, Peng TY, Chen J, Lu XM. miR-133b Promotes Esophageal Squamous Cell Carcinoma Metastasis. Clin Med Insights Oncol 2023; 17:11795549231219502. [PMID: 38144543 PMCID: PMC10748682 DOI: 10.1177/11795549231219502] [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: 08/27/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Background Evaluation of biological changes at the molecular level has important clinical implications for improving the survival rate of esophageal squamous cell carcinoma (ESCC). Therefore, we plan to analyze and elucidate the expression of microRNA-133b (miR-133b), M2 pyruvate kinase (PKM2), and signal transducer and activator of transcription 3 (STAT3) in ESCC and their associated clinicopathological significance. Methods The 72 patients with ESCC were selected as the experimental study group. Normal adjacent tissues (NAT) were matched as the control group. In this study, in situ hybridization was used to detect the expression of miR-133b in ESCC, and tissue expressions of PKM2 and STAT3 were detected by immunohistochemistry, and literature review was conducted. Results Studies had shown that the positive expression of miR-133b in NAT was significantly higher than that in ESCC (χ2 = 9.007, P = .003). PKM2 and STAT3 in ESCC had a significantly higher positive expression levels than those of NAT (χ2 = 56.523, P = .000; χ2 = 72.939, P = .000). From correlation analysis, there was a negative correlation between miR-133b and PKM2(r = -0.515, P < .001), a negative correlation between miR-133b and STAT3(r = -0.314, P = .007), and a positive correlation between PKM2 and STAT3(r = 0.771, P < .001). Conclusions In ESCC, our study demonstrated that downregulation of miR-133b and upregulation of PKM2 and STAT3. We predict that miR-133b may inhibit the STAT3 pathway by downregulating PKM2.
Collapse
Affiliation(s)
- Cong-Gai Huang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Pathology, The Affiliated Hospital of Southwest Medical University, Luzhou, P R China
| | - Qing Liu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Shu-Tao Zheng
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Tao Liu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yi-Yi Tan
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Tian-Yuan Peng
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jiao Chen
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiao-Mei Lu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| |
Collapse
|