1
|
Xu Y, Benedikt J, Ye L. Hyaluronic Acid Interacting Molecules Mediated Crosstalk between Cancer Cells and Microenvironment from Primary Tumour to Distant Metastasis. Cancers (Basel) 2024; 16:1907. [PMID: 38791985 PMCID: PMC11119954 DOI: 10.3390/cancers16101907] [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: 04/26/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
Hyaluronic acid (HA) is a prominent component of the extracellular matrix, and its interactions with HA-interacting molecules (HAIMs) play a critical role in cancer development and disease progression. This review explores the multifaceted role of HAIMs in the context of cancer, focusing on their influence on disease progression by dissecting relevant cellular and molecular mechanisms in tumour cells and the tumour microenvironment. Cancer progression can be profoundly affected by the interactions between HA and HAIMs. They modulate critical processes such as cell adhesion, migration, invasion, and proliferation. The TME serves as a dynamic platform in which HAIMs contribute to the formation of a unique niche. The resulting changes in HA composition profoundly influence the biophysical properties of the TME. These modifications in the TME, in conjunction with HAIMs, impact angiogenesis, immune cell recruitment, and immune evasion. Therefore, understanding the intricate interplay between HAIMs and HA within the cancer context is essential for developing novel therapeutic strategies. Targeting these interactions offers promising avenues for cancer treatment, as they hold the potential to disrupt critical aspects of disease progression and the TME. Further research in this field is imperative for advancing our knowledge and the treatment of cancer.
Collapse
Affiliation(s)
- Yali Xu
- Cardiff China Medical Research Collaborative, Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff CF14 4XN, UK;
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;
| | | | - Lin Ye
- Cardiff China Medical Research Collaborative, Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff CF14 4XN, UK;
| |
Collapse
|
2
|
Wang X, Jiang Y, Sun Y. Revealing genomic heterogeneity and commonality: A penalized integrative analysis approach accounting for the adjacency structure of measurements. Genet Epidemiol 2024; 48:114-140. [PMID: 38317326 DOI: 10.1002/gepi.22549] [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: 09/26/2023] [Revised: 12/18/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024]
Abstract
Advancements in high-throughput genomic technologies have revolutionized the field of disease biomarker identification by providing large-scale genomic data. There is an increasing focus on understanding the relationships among diverse patient groups with distinct disease subtypes and characteristics. Complex diseases exhibit both heterogeneity and shared genomic factors, making it essential to investigate these patterns to accurately detect markers and comprehensively understand the diseases. Integrative analysis has emerged as a promising approach to address this challenge. However, existing studies have been limited by ignoring the adjacency structure of genomic measurements, such as single nucleotide polymorphisms (SNPs) and DNA methylations. In this study, we propose a structured integrative analysis method that incorporates a spline type penalty to accommodate this adjacency structure. We utilize a fused lasso type penalty to identify both heterogeneity and commonality across the groups. Extensive simulations demonstrate its superiority compared to several direct competing methods. The analysis of The Cancer Genome Atlas melanoma data with DNA methylation measurements and GENEVA diabetes data with SNP measurements exhibit that the proposed analysis lead to meaningful findings with better prediction performance and higher selection stability.
Collapse
Affiliation(s)
- Xindi Wang
- Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China
| | - Yu Jiang
- School of Public Health, The University of Memphis, Memphis, Tennessee, USA
| | - Yifan Sun
- Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China
| |
Collapse
|
3
|
Hsieh MY, Hsu SK, Liu TY, Wu CY, Chiu CC. Melanoma biology and treatment: a review of novel regulated cell death-based approaches. Cancer Cell Int 2024; 24:63. [PMID: 38336727 PMCID: PMC10858604 DOI: 10.1186/s12935-024-03220-9] [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: 09/27/2023] [Accepted: 01/09/2024] [Indexed: 02/12/2024] Open
Abstract
The incidence of melanoma, the most lethal form of skin cancer, has increased due to ultraviolet exposure. The treatment of advanced melanoma, particularly metastatic cases, remains challenging with poor outcomes. Targeted therapies involving BRAF/MEK inhibitors and immunotherapy based on anti-PD1/anti-CTLA4 antibodies have achieved long-term survival rates of approximately 50% for patients with advanced melanoma. However, therapy resistance and inadequate treatment response continue to hinder further breakthroughs in treatments that increase survival rates. This review provides an introduction to the molecular-level pathogenesis of melanoma and offers an overview of current treatment options and their limitations. Cells can die by either accidental or regulated cell death (RCD). RCD is an orderly cell death controlled by a variety of macromolecules to maintain the stability of the internal environment. Since the uncontrolled proliferation of tumor cells requires evasion of RCD programs, inducing the RCD of melanoma cells may be a treatment strategy. This review summarizes studies on various types of nonapoptotic RCDs, such as autophagy-dependent cell death, necroptosis, ferroptosis, pyroptosis, and the recently discovered cuproptosis, in the context of melanoma. The relationships between these RCDs and melanoma are examined, and the interplay between these RCDs and immunotherapy or targeted therapy in patients with melanoma is discussed. Given the findings demonstrating melanoma cell death in response to different stimuli associated with these RCDs, the induction of RCD shows promise as an integral component of treatment strategies for melanoma.
Collapse
Affiliation(s)
- Ming-Yun Hsieh
- Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan
| | - Sheng-Kai Hsu
- Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Tzu-Yu Liu
- Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Chang-Yi Wu
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan.
- Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
| | - Chien-Chih Chiu
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan.
- Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, 807, Taiwan.
| |
Collapse
|