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Hariri A, Mirian M, Khosravi A, Zarepour A, Iravani S, Zarrabi A. Intersecting pathways: The role of hybrid E/M cells and circulating tumor cells in cancer metastasis and drug resistance. Drug Resist Updat 2024; 76:101119. [PMID: 39111134 DOI: 10.1016/j.drup.2024.101119] [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: 03/24/2024] [Revised: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 08/17/2024]
Abstract
Cancer metastasis and therapy resistance are intricately linked with the dynamics of Epithelial-Mesenchymal Transition (EMT) and Circulating Tumor Cells (CTCs). EMT hybrid cells, characterized by a blend of epithelial and mesenchymal traits, have emerged as pivotal in metastasis and demonstrate remarkable plasticity, enabling transitions across cellular states crucial for intravasation, survival in circulation, and extravasation at distal sites. Concurrently, CTCs, which are detached from primary tumors and travel through the bloodstream, are crucial as potential biomarkers for cancer prognosis and therapeutic response. There is a significant interplay between EMT hybrid cells and CTCs, revealing a complex, bidirectional relationship that significantly influences metastatic progression and has a critical role in cancer drug resistance. This resistance is further influenced by the tumor microenvironment, with factors such as tumor-associated macrophages, cancer-associated fibroblasts, and hypoxic conditions driving EMT and contributing to therapeutic resistance. It is important to understand the molecular mechanisms of EMT, characteristics of EMT hybrid cells and CTCs, and their roles in both metastasis and drug resistance. This comprehensive understanding sheds light on the complexities of cancer metastasis and opens avenues for novel diagnostic approaches and targeted therapies and has significant advancements in combating cancer metastasis and overcoming drug resistance.
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Affiliation(s)
- Amirali Hariri
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan 8174673461, Iran
| | - Mina Mirian
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan 8174673461, Iran.
| | - Arezoo Khosravi
- Department of Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul 34959, Turkiye
| | - Atefeh Zarepour
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600 077, India
| | - Siavash Iravani
- Independent Researcher, W Nazar ST, Boostan Ave, Isfahan, Iran.
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul 34396, Turkiye; Graduate School of Biotechnology and Bioengineering, Yuan Ze University, Taoyuan 320315, Taiwan.
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2
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Murakami K, Tago SI, Takishita S, Morikawa H, Kojima R, Yokoyama K, Ogawa M, Fukushima H, Takamori H, Nannya Y, Imoto S, Fuji M. Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. Cancers (Basel) 2024; 16:1915. [PMID: 38791993 PMCID: PMC11120556 DOI: 10.3390/cancers16101915] [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: 04/04/2024] [Revised: 04/26/2024] [Accepted: 05/01/2024] [Indexed: 05/26/2024] Open
Abstract
When analyzing cancer sample genomes in clinical practice, many structural variants (SVs), other than single nucleotide variants (SNVs), have been identified. To identify driver variants, the leading candidates must be narrowed down. When fusion genes are involved, selection is particularly difficult, and highly accurate predictions from AI is important. Furthermore, we also wanted to determine how the prediction can make more reliable diagnoses. Here, we developed an explainable AI (XAI) suitable for SVs with gene fusions, based on the XAI technology we previously developed for the prediction of SNV pathogenicity. To cope with gene fusion variants, we added new data to the previous knowledge graph for SVs and we improved the algorithm. Its prediction accuracy was as high as that of existing tools. Moreover, our XAI could explain the reasons for these predictions. We used some variant examples to demonstrate that the reasons are plausible in terms of pathogenic basic mechanisms. These results can be seen as a hopeful step toward the future of genomic medicine, where efficient and correct decisions can be made with the support of AI.
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Affiliation(s)
- Katsuhiko Murakami
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
| | - Shin-ichiro Tago
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
| | - Sho Takishita
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
| | - Hiroaki Morikawa
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
| | - Rikuhiro Kojima
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
| | - Kazuaki Yokoyama
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Miho Ogawa
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
- The University of Tokyo Hospital, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hidehito Fukushima
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Hiroyuki Takamori
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Yasuhito Nannya
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Masaru Fuji
- Computing Laboratories, Fujitsu Research, Fujitsu Ltd., Kawasaki 211-8588, Kanagawa, Japan
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3
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Baylie T, Kasaw M, Getinet M, Getie G, Jemal M, Nigatu A, Ahmed H, Bogale M. The role of miRNAs as biomarkers in breast cancer. Front Oncol 2024; 14:1374821. [PMID: 38812786 PMCID: PMC11133523 DOI: 10.3389/fonc.2024.1374821] [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: 01/22/2024] [Accepted: 04/08/2024] [Indexed: 05/31/2024] Open
Abstract
Breast cancer (BC) is the second most common cause of deaths reported in women worldwide, and therefore there is a need to identify BC patients at an early stage as timely diagnosis would help in effective management and appropriate monitoring of patients. This will allow for proper patient monitoring and effective care. However, the absence of a particular biomarker for BC early diagnosis and surveillance makes it difficult to accomplish these objectives. miRNAs have been identified as master regulators of the molecular pathways that are emphasized in various tumors and that lead to the advancement of malignancies. Small, non-coding RNA molecules known as miRNAs target particular mRNAs to control the expression of genes. miRNAs dysregulation has been linked to the start and development of a number of human malignancies, including BC, since there is compelling evidence that miRNAs can function as tumor suppressor genes or oncogenes. The current level of knowledge on the role of miRNAs in BC diagnosis, prognosis, and treatment is presented in this review. miRNAs can regulate the tumorigenesis of BC through targeting PI3K pathway and can be used as prognostic or diagnostic biomarkers for BC therapy. Some miRNAs, like miR-9, miR-10b, and miR-17-5p, are becoming known as biomarkers of BC for diagnosis, prognosis, and therapeutic outcome prediction. Other miRNAs, like miR-30c, miR-187, and miR-339-5p, play significant roles in the regulation of hallmark functions of BC, including invasion, metastasis, proliferation, resting death, apoptosis, and genomic instability. Other miRNAs, such as miR-155 and miR-210, are circulating in bodily fluids and are therefore of interest as novel, conveniently accessible, reasonably priced, non-invasive methods for the customized care of patients with BC.
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Affiliation(s)
- Temesgen Baylie
- Department of Biomedical Science, School of Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Mulugeta Kasaw
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Mamaru Getinet
- Department of Biomedical Science, School of Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Gedefaw Getie
- Department of Biomedical Science, School of Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Mohammed Jemal
- Department of Biomedical Science, School of Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Amare Nigatu
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, Woldia University, Woldia, Ethiopia
| | - Hassen Ahmed
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, Woldia University, Woldia, Ethiopia
| | - Mihiret Bogale
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, Wollo University, Wollo, Ethiopia
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Ismail NH, Mussa A, Al-Khreisat MJ, Mohamed Yusoff S, Husin A, Al-Jamal HAN, Johan MF, Islam MA. Dysregulation of Non-Coding RNAs: Roles of miRNAs and lncRNAs in the Pathogenesis of Multiple Myeloma. Noncoding RNA 2023; 9:68. [PMID: 37987364 PMCID: PMC10660696 DOI: 10.3390/ncrna9060068] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023] Open
Abstract
The dysregulation of non-coding RNAs (ncRNAs), specifically microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), leads to the development and advancement of multiple myeloma (MM). miRNAs, in particular, are paramount in post-transcriptional gene regulation, promoting mRNA degradation and translational inhibition. As a result, miRNAs can serve as oncogenes or tumor suppressors depending on the target genes. In MM, miRNA disruption could result in abnormal gene expression responsible for cell growth, apoptosis, and other biological processes pertinent to cancer development. The dysregulated miRNAs inhibit the activity of tumor suppressor genes, contributing to disease progression. Nonetheless, several miRNAs are downregulated in MM and have been identified as gene regulators implicated in extracellular matrix remodeling and cell adhesion. miRNA depletion potentially facilitates the tumor advancement and resistance of therapeutic drugs. Additionally, lncRNAs are key regulators of numerous cellular processes, such as gene expression, chromatin remodeling, protein trafficking, and recently linked MM development. The lncRNAs are uniquely expressed and influence gene expression that supports MM growth, in addition to facilitating cellular proliferation and viability via multiple molecular pathways. miRNA and lncRNA alterations potentially result in anomalous gene expression and interfere with the regular functioning of MM. Thus, this review aims to highlight the dysregulation of these ncRNAs, which engender novel therapeutic modalities for the treatment of MM.
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Affiliation(s)
- Nor Hayati Ismail
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ali Mussa
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Biology, Faculty of Education, Omdurman Islamic University, Omdurman 11111, Sudan
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, Tamil Nadu, India
| | - Mutaz Jamal Al-Khreisat
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Shafini Mohamed Yusoff
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Azlan Husin
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Hamid Ali Nagi Al-Jamal
- School of Biomedicine, Faculty of Health Sciences, Universiti Sultan Zainal Abidin (UniSZA), Kuala Nerus 21300, Terengganu, Malaysia
| | - Muhammad Farid Johan
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Md Asiful Islam
- WHO Collaborating Centre for Global Women’s Health, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
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Schwarzenbach H, Gahan PB. Interplay between LncRNAs and microRNAs in Breast Cancer. Int J Mol Sci 2023; 24:ijms24098095. [PMID: 37175800 PMCID: PMC10179369 DOI: 10.3390/ijms24098095] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
(1) Although long noncoding RNAs (lncRNAs) are known to be precursors of microRNAs (miRNAs), they frequently act as competing endogoneous RNAs (ceRNAs), yet still their interplay with miRNA is not well known. However, their interaction with miRNAs may result in the modulation of miRNA action. (2) To determine the contribution of these RNA molecules in tumor resistance to chemotherapeutic drugs, it is essential to consider not only the oncogenic and tumor suppressive function of miRNAs but also the impact of lncRNAs on miRNAs. Therefore, we performed an extensive search in different databases including PubMed. (3) The present study concerns the interplay between lncRNAs and miRNAs in the regulatory post-transcriptional network and their impact on drugs used in the treatment of breast cancer. (4) Consideration of this interplay may improve the search for new drugs to circumvent chemoresistance.
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Affiliation(s)
- Heidi Schwarzenbach
- Department of Gynecology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Peter B Gahan
- Fondazione "Enrico Puccinelli" Onlus, 06126 Perugia, Italy
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Bhattacharjee B, Syeda AF, Rynjah D, Hussain SM, Chandra Bora S, Pegu P, Sahu RK, Khan J. Pharmacological impact of microRNAs in head and neck squamous cell carcinoma: Prevailing insights on molecular pathways, diagnosis, and nanomedicine treatment. Front Pharmacol 2023; 14:1174330. [PMID: 37205904 PMCID: PMC10188950 DOI: 10.3389/fphar.2023.1174330] [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] [Received: 02/26/2023] [Accepted: 04/11/2023] [Indexed: 05/21/2023] Open
Abstract
Head and neck squamous cell carcinoma is a disease that most commonly produce tumours from the lining of the epithelial cells of the lips, larynx, nasopharynx, mouth, or oro-pharynx. It is one of the most deadly forms of cancer. About one to two percent of all neo-plasm-related deaths are attributed to head and neck squamous cell carcinoma, which is responsible for about six percent of all cancers. MicroRNAs play a critical role in cell proliferation, differentiation, tumorigenesis, stress response, triggering apoptosis, and other physiological process. MicroRNAs regulate gene expression and provide new diagnostic, prognostic, and therapeutic options for head and neck squamous cell carcinoma. In this work, the role of molecular signaling pathways related to head and neck squamous cell carcinoma is emphasized. We also provide an overview of MicroRNA downregulation and overexpression and its role as a diagnostic and prognostic marker in head and neck squamous cell carcinoma. In recent years, MicroRNA nano-based therapies for head and neck squamous cell carcinoma have been explored. In addition, nanotechnology-based alternatives have been discussed as a promising strategy in exploring therapeutic paradigms aimed at improving the efficacy of conventional cytotoxic chemotherapeutic agents against head and neck squamous cell carcinoma and attenuating their cytotoxicity. This article also provides information on ongoing and recently completed clinical trials for therapies based on nanotechnology.
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Affiliation(s)
| | - Ayesha Farhana Syeda
- Department of Pharmaceutics, Unaiza College of Pharmacy, Qassim University, Unaizah, Saudi Arabia
- *Correspondence: Ayesha Farhana Syeda, ; Ram Kumar Sahu, ; Jiyauddin Khan,
| | | | - Shalam M. Hussain
- Department of Clinical Pharmacy, College of Nursing and Health Sciences, Al-Rayyan Medical College, Madinah, Saudi Arabia
| | | | - Padmanath Pegu
- Girijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, India
| | - Ram Kumar Sahu
- Department of Pharmaceutical Sciences, Hemvati Nandan Bahuguna Garhwal University (A Central University), Chauras Campus, Tehri Garhwal, Uttarakhand, India
- *Correspondence: Ayesha Farhana Syeda, ; Ram Kumar Sahu, ; Jiyauddin Khan,
| | - Jiyauddin Khan
- School of Pharmacy, Management and Science University, Shah Alam, Malaysia
- *Correspondence: Ayesha Farhana Syeda, ; Ram Kumar Sahu, ; Jiyauddin Khan,
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A Complex Heterogeneous Network Model of Disease Regulated by Noncoding RNAs: A Case Study of Unstable Angina Pectoris. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:5852089. [PMID: 36590836 PMCID: PMC9803582 DOI: 10.1155/2022/5852089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/27/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022]
Abstract
MicroRNAs (miRNAs) are important types of noncoding RNAs, and there is a lack of holistic and systematic understanding of the functions they play in disease. We proposed a research strategy, including two parts network analysis and network modelling, to analyze, model, and predict the regulatory network of miRNAs from a network perspective, using unstable angina pectoris as an example. In the network analysis section, we proposed the WGCNA & SimCluster method using both correlation and similarity to find hub miRNAs, and validation on two datasets showed better results than the methods using correlation or similarity alone. In the network modelling section, we used six knowledge graph or graph neural network models for link prediction of three types of edges and multilabel classification of two types of nodes. Comparative experiments showed that the RotatE model was a good model for link prediction, while the RGCN model was the best model for multilabel classification. Potential target genes were predicted for hub miRNAs and validation of hub miRNA-target gene interactions, target genes as biomarkers and target gene functions were performed using a three-step validation approach. In conclusion, our study provides a new strategy to analyze and model miRNA regulatory networks.
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Ni B, Song X, Shi B, Wang J, Sun Q, Wang X, Xu M, Cao L, Zhu G, Li J. Research progress of ginseng in the treatment of gastrointestinal cancers. Front Pharmacol 2022; 13:1036498. [PMID: 36313365 PMCID: PMC9603756 DOI: 10.3389/fphar.2022.1036498] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/03/2022] [Indexed: 11/24/2022] Open
Abstract
Cancer has become one of the major causes of human death. Several anticancer drugs are available; howeve their use and efficacy are limited by the toxic side effects and drug resistance caused by their continuous application. Many natural products have antitumor effects with low toxicity and fewer adverse effects. Moreover, they play an important role in enhancing the cytotoxicity of chemotherapeutic agents, reducing toxic side effects, and reversing chemoresistance. Consequently, natural drugs are being applied as potential therapeutic options in the field of antitumor treatment. As natural medicinal plants, some components of ginseng have been shown to have excellent efficacy and a good safety profile for cancer treatment. The pharmacological activities and possible mechanisms of action of ginseng have been identified. Its broad range of pharmacological activities includes antitumor, antibacterial, anti-inflammatory, antioxidant, anti-stress, anti-fibrotic, central nervous system modulating, cardioprotective, and immune-enhancing effects. Numerous studies have also shown that throuth multiple pathways, ginseng and its active ingredients exert antitumor effects on gastrointestinal (GI) tract tumors, such as esophageal, gastric, colorectal, liver, and pancreatic cancers. Herein, we introduced the main components of ginseng, including ginsenosides, polysaccharides, and sterols, etc., and reviewed the mechanism of action and research progress of ginseng in the treatment of various GI tumors. Futhermore, the pathways of action of the main components of ginseng are discussed in depth to promote the clinical development and application of ginseng in the field of anti-GI tumors.
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Affiliation(s)
- Baoyi Ni
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaotong Song
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bolun Shi
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jia Wang
- Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China
| | - Qianhui Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xinmiao Wang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Manman Xu
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Luchang Cao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | | | - Jie Li
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Jie Li,
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Li JA, Wei LJ, Bai DM, Liu BC. Lycium barbarum polysaccharide with potential anti-gastric cancer effects mediated by regulation of miR-202-5p/PIK3CA. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2022.104162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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10
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The Role of the Selected miRNAs as Diagnostic, Predictive and Prognostic Markers in Non-Small-Cell Lung Cancer. J Pers Med 2022; 12:jpm12081227. [PMID: 36013176 PMCID: PMC9410235 DOI: 10.3390/jpm12081227] [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: 06/30/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 11/17/2022] Open
Abstract
Lung cancer remains a leading cause of cancer-related deaths worldwide, overtaking colon, breast, and prostate cancer-related deaths. Due to the limited diagnostic possibilities, it is often diagnosed after it has reached an advanced stage. The delayed diagnosis significantly worsens the patient’s prognosis. In recent years, we have observed an increased interest in the use of microRNAs (miRNAs) as diagnostic, predictive, and prognostic markers in non-small-cell lung cancer (NSCLC). The abnormal expression levels of the miRNAs could be used to detect NSCLC in its early stages while it is still asymptomatic. This could drastically improve the clinical outcome. Furthermore, some miRNAs could serve as promising predictive and prognostic factors for NSCLC. Some of the currently available studies have shown a correlation between the miRNAs’ levels and the sensitivity of tumour cells to different treatment regimens. Analysing and modulating the miRNAs’ expression could be a way to predict and improve the treatment’s outcome.
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