Identification and validation of cigarette smoking-related genes in predicting prostate cancer development through bioinformatic analysis and experiments DOI Creative Commons

Duocheng Qian,

Xinan Wang,

Tengfei Lv

et al.

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 3, 2024

The morbidity and mortality rates of prostate cancer (PCa) are high among elderly men worldwide. Several factors, such as heredity, obesity, environment associated with the occurrence PCa. Cigarette smoking, which is also an important factor in development PCa, can lead to genetic alterations consequently promote PCa development. However, smoking-induced unclear. This study aimed identify potential smoking-related genes differentially expressed (DEGs) were identified using Gene Expression Omnibus (GEO) included lots datasets. DEGs subjected protein–protein interaction (PPI) network analysis hub genes. pathways these enriched identified. Cancer Genome Atlas (TCGA) dataset was used examine expression samples estimate their value predicting tumor progression prognosis. In total, 110 got from GSE68135 microarray data patients smoking or not 14 key PPI network. following seven altered TCGA patients: EWSR1, SRSF6, COL6A3, FBLN1, DCN, CYP2J2, PLA2G2A. CYP2J2 influenced progression. Additionally, EWSR1 disease-free survival. logistic regression model, exhibited highest risk scores, gene for We found one genes: truly upregulated clinical cells invasion proliferation. function involved

Language: Английский

Spatial Transcriptomics: A Powerful Tool in Disease Understanding and Drug Discovery DOI Creative Commons
Junxian Cao, Caifeng Li,

Zhao Cui

et al.

Theranostics, Journal Year: 2024, Volume and Issue: 14(7), P. 2946 - 2968

Published: Jan. 1, 2024

Recent advancements in modern science have provided robust tools for drug discovery. The rapid development of transcriptome sequencing technologies has given rise to single-cell transcriptomics and single-nucleus transcriptomics, increasing the accuracy accelerating discovery process. With evolution spatial (ST) technology emerged as a derivative approach. Spatial hot topic field omics research recent years; it not only provides information on gene expression levels but also offers expression. This shown tremendous potential disease understanding In this article, we introduce analytical strategies review its applications novel target mechanism unravelling. Moreover, discuss current challenges issues that need be addressed. conclusion, new perspective

Language: Английский

Citations

16

Natural Compounds and Biomimetic Engineering to Influence Fibroblast Behavior in Wound Healing DOI Open Access
Charlotte E. Berry, Camille Brenac,

Caroline E. Gonzalez

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(6), P. 3274 - 3274

Published: March 14, 2024

Throughout history, natural products have played a significant role in wound healing. Fibroblasts, acting as primary cellular mediators skin healing, exhibit behavioral responses to compounds that can enhance the healing process. Identifying bioactive and understanding their impact on fibroblast behavior offers crucial translational opportunities realm of Modern scientific techniques enabled detailed how naturally derived modulate by influencing behavior. Specific known for properties been identified. Engineered biomimetic replicating microenvironment are designed facilitate normal Advanced delivery methods operating at micro- nano-scales developed effectively deliver these novel through stratum corneum. This review provides comprehensive summary efficacy promoting regeneration repair. Additionally, it explores engineering, where researchers draw inspiration from nature create materials devices mimicking physiological cues effective The concludes describing mechanisms aimed enhancing bioavailability compounds. Innovative future strategies involve exploring fibroblast-influencing pathways, responsive biomaterials, smart dressings with real-time monitoring, applications stem cells. However, translating findings clinical settings faces challenges such limited validation biomaterials large animal models logistical obstacles industrial production. integration ancient remedies modern approaches holds promise achieving scar-free

Language: Английский

Citations

9

Angiogenesis Still Plays a Crucial Role in Human Melanoma Progression DOI Open Access
Gerardo Cazzato, Giuseppe Ingravallo, Doménico Ribatti

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(10), P. 1794 - 1794

Published: May 8, 2024

Angiogenesis plays a pivotal role in tumor progression, particularly melanoma, the deadliest form of skin cancer. This review synthesizes current knowledge on intricate interplay between angiogenesis and microenvironment (TME) melanoma progression. Pro-angiogenic factors, including VEGF, PlGF, FGF-2, IL-8, Ang, TGF-β, PDGF, integrins, MMPs, PAF, modulate contribute to metastasis. Additionally, cells within TME, such as cancer-associated fibroblasts, mast cells, melanoma-associated macrophages, influence Anti-angiogenic therapies, while showing promise, face challenges drug resistance tumor-induced activation alternative angiogenic pathways. Rational combinations anti-angiogenic agents immunotherapies are being explored overcome resistance. Biomarker identification for treatment response remains crucial personalized therapies. highlights complexity underscores need innovative therapeutic approaches tailored dynamic TME.

Language: Английский

Citations

7

The axis of tumor-associated macrophages, extracellular matrix proteins, and cancer-associated fibroblasts in oncogenesis DOI Creative Commons
Shu‐Hong Yu, Siyu Wang, Xuanyu Wang

et al.

Cancer Cell International, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 7, 2024

The extracellular matrix (ECM) is a complex, dynamic network of multiple macromolecules that serve as crucial structural and physical scaffold for neighboring cells. In the tumor microenvironment (TME), ECM proteins play significant role in mediating cellular communication between cancer-associated fibroblasts (CAFs) tumor-associated macrophages (TAMs). Revealing modification TME necessitates intricate signaling cascades transpire among diverse cell populations proteins. advent single-cell sequencing has enabled identification refinement specific subpopulations, which substantially enhanced our comprehension milieu given us high-resolution perspective on diversity However, it essential to integrate data establish coherent framework. this regard, we present comprehensive review relationships ECM, TAMs, CAFs. This encompasses insights into released by TAMs CAFs, integration TAM-ECM-CAF axis, potential applications limitations targeted therapies serves reliable resource focused therapeutic strategies while highlighting intermediates TME.

Language: Английский

Citations

7

The Keratinocyte in the Picture Cutaneous Melanoma Microenvironment DOI Open Access
Ramona Marrapodi, Barbara Bellei

Cancers, Journal Year: 2024, Volume and Issue: 16(5), P. 913 - 913

Published: Feb. 23, 2024

Melanoma progression is a multistep evolution from common melanocytic nevus through radial superficial growth phase, the invasive vertical phase finally leading to metastatic dissemination into distant organs. aggressiveness largely depends on propensity metastasize, which means capacity escape physiological microenvironment since tissue damage due primary melanoma lesions generally modest. Physiologically, epidermal melanocytes are attached basement membrane, and their adhesion/migration under control of surrounding keratinocytes. Thus, compartment represents first responsible for spread. This complex process involves cell-cell contact broad range secreted bioactive molecules. Invasion, or at beginning microinvasion, implies breakdown dermo-epidermal membrane followed by migration neoplastic cells in papillary dermis. Correspondingly, several experimental evidences documented structural functional rearrangement entire neoplasm that some way reflects atypia tumor cells. Lastly, must support proliferation survival outside normal epidermal-melanin units. task presumably mostly delegated fibroblasts ultimately self-autonomous review will discuss remodeling occurs epidermis during formation as well skin changes occur independently hyperproliferation having possible pro-tumoral features.

Language: Английский

Citations

5

Development of Personalized Strategies for Precisely Battling Malignant Melanoma DOI Open Access
Armond J. Isaak, G Clements, Rand Gabriel M. Buenaventura

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(9), P. 5023 - 5023

Published: May 4, 2024

Melanoma is the most severe and fatal form of skin cancer, resulting from multiple gene mutations with high intra-tumor inter-tumor molecular heterogeneity. Treatment options for patients whose disease has progressed beyond ability surgical resection rely on currently accepted standard therapies, notably immune checkpoint inhibitors targeted therapies. Acquired resistance to these therapies treatment-associated toxicity necessitate exploring novel strategies, especially those that can be personalized specific and/or populations. Here, we review current landscape progress explore what oncology techniques may entail in scope melanoma. Our purpose provide an up-to-date summary tools at our disposal work circumvent common barriers faced when battling

Language: Английский

Citations

5

Cancer‐Associated Fibroblast Signature Can Predict Prognosis and Therapeutic Responses in Skin Cutaneous Melanoma DOI

Yue Zheng,

Weihuan Shao,

Tongxin Ge

et al.

Pigment Cell & Melanoma Research, Journal Year: 2025, Volume and Issue: 38(2)

Published: Feb. 26, 2025

ABSTRACT Skin cutaneous melanoma (SKCM) is a lethal skin cancer with poor prognosis and limited response to immunotherapy. Cancer‐associated fibroblasts (CAFs) are key contributors tumor progression, therapy resistance, immunosuppression. In this study, mRNA sequencing clinical data from SKCM samples were obtained The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases evaluate the prognostic significance, therapeutic implications, potential for enhancing immunotherapy through targeting CAFs in SKCM. A CAF‐related risk model comprising nine genes was developed, revealing that patients classified as low‐risk exhibited superior survival outcomes increased sensitivity Spearman correlation analysis identified significant associations between score 40 drugs, well resistance 17 drugs. Additionally, categorized into three distinct subgroups SKCM, antigen‐presenting (apCAFs) notably suppressing infiltration of anti‐tumor immune cells strongly correlating prognosis. summary, offers robust tool capable predicting both sensitivity. Moreover, pivotal role apCAFs within microenvironment suggests these may enhance efficacy

Language: Английский

Citations

0

The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data DOI Creative Commons
Jia-Ming Huan, Xiaojie Wang, Yuan Li

et al.

BioData Mining, Journal Year: 2024, Volume and Issue: 17(1)

Published: May 21, 2024

A knowledge graph can effectively showcase the essential characteristics of data and is increasingly emerging as a significant means integrating information in field artificial intelligence. Coronary artery plaque represents etiology cardiovascular events, posing diagnostic challenge for clinicians who are confronted with multitude nonspecific symptoms. To visualize hierarchical relationship network molecular mechanisms underlying properties symptom phenotypes, patient symptomatology was extracted from electronic health record real-world clinical settings. Phenotypic networks were constructed utilizing protein‒protein interaction networks. Machine learning techniques, including convolutional neural networks, Dijkstra's algorithm, gene ontology semantic similarity, employed to quantify biological features within network. The resulting then utilized train K-nearest neighbor model, yielding 23 symptoms, 41 association rules, 61 hub genes across three types plaques studied, achieving an area under curve 92.5%. Weighted correlation analysis pathway enrichment subsequently identify lipid status-related inflammation-associated pathways that could help explain differences properties. confirm validity we conducted coexpression evaluate their potential value. Additionally, investigated immune cell infiltration, examined correlations between cells, validated reliability identified pathways. By information, this biomedical model elucidated collude diseases, molecules.

Language: Английский

Citations

3

The Emerging Role of Cell Membrane-coated Nanomaterials in Cancer Therapy DOI
Sankha Bhattacharya, Paul Beninger

Current Pharmaceutical Design, Journal Year: 2024, Volume and Issue: 30(10), P. 727 - 741

Published: March 1, 2024

Abstract: This review investigates the revolutionary application of cell membrane-coated nanoparticles (CMNPs) as a promising avenue for cancer therapy within embryonic landscape nanotechnology. Nanoparticles, pivotal in treatment, are systematically examined their diverse physicochemical structures, categorized organic (lipid-based, protein-based, and polymer-assisted) inorganic (carbon-based metal) varieties. A significant focus is placed on CMNPs, which serve an innovative drug delivery vehicle, overcoming limitations associated with conventional nanoparticle therapies. manuscript accurately explores advantages challenges various membranes, including those derived from cells, red blood platelets, stem white cells. Importance roles enhancing precision, immune system circumvention, targeted recognition. Detailed insights into crafting CMNPs provided, elucidating membrane extraction fusion techniques, such sonication, extrusion, co-extrusion, microfluidic electroporation. Maintaining integrity during benefits coating techniques augmenting biocompatibility underscored. comprehensive resource consolidates latest advancements delivery, positioning itself at forefront nanotechnology biomedicine research. Encapsulating methodologies like electrospray, chemical conjugation, this showcases expanding toolbox available to researchers dynamic field. Focusing unique characteristics multifaceted applications biomedical research, particularly tumour therapy. It provides indepth analysis stability, evasion capabilities, increased payload capacity, retained biological functionality. The outlines current future prospects chemotherapy, photothermal photodynamic therapy, immunotherapy, gene therapeutic methods. concludes by highlighting transformative potential reshaping treatment.

Language: Английский

Citations

2

Cancer-associated fibroblasts in neoadjuvant setting for solid cancers DOI
Yanan Gu, Qiangda Chen, Hanlin Yin

et al.

Critical Reviews in Oncology/Hematology, Journal Year: 2023, Volume and Issue: 193, P. 104226 - 104226

Published: Dec. 4, 2023

Language: Английский

Citations

4