Basement membranes in lung metastasis growth and progression DOI Creative Commons

Irene Torre-Cea,

Patricia Berlana-Galán,

Elena Guerra-Paes

et al.

Matrix Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

The lung is a highly vascularized tissue that often harbors metastases from various extrathoracic malignancies. Lung parenchyma consists of complex network alveolar epithelial cells and microvessels, structured within an architecture defined by basement membranes. Consequently, understanding the role extracellular matrix (ECM) in growth essential to uncover biology this pathology developing targeted therapies. These membranes play critical progression metastases, influencing multiple stages metastatic cascade, acquisition aggressive phenotype intravasation, extravasation colonization secondary sites. This review examines biological composition membranes, focusing on their core components-collagens, fibronectin, laminin-and specific roles cancer progression. Additionally, we discuss function integrins as primary mediators cell adhesion signaling between tumor cells, matrix, well implications for lung. We also explore vascular co-option (VCO) form resistance linked vasculature. Finally, covers current clinical therapies targeting adhesion, remodeling, development, aiming improve precision effectiveness treatments against metastases.

Language: Английский

Overview on biomarkers for immune oncology drugs DOI Creative Commons
Evgeny N. Imyanitov, Elena V. Preobrazhenskaya, Natalia V. Mitiushkina

et al.

Exploration of Targeted Anti-tumor Therapy, Journal Year: 2025, Volume and Issue: 6

Published: March 17, 2025

Although immune checkpoint inhibitors (ICIs) are widely used in clinical oncology, less than half of treated cancer patients derive benefit from this therapy. Both tumor- and host-related variables implicated response to ICIs. The predictive value PD-L1 expression is confined only several types, so molecule not an agnostic biomarker. Highly elevated tumor mutation burden (TMB) caused either by excessive carcinogenic exposure or a deficiency DNA repair reliable indicator for ICI efficacy, as exemplified tumors with high-level microsatellite instability (MSI-H). Other potentially relevant tumor-related characteristics include gene signatures, pattern infiltration cells, and, perhaps, some immune-response modifying somatic mutations. Host-related factors have yet been comprehensively considered trials. Microbiome composition, markers systemic inflammation [e.g., neutrophil-to-lymphocyte ratio (NLR)], human leucocyte antigen (HLA) diversity may influence the efficacy Studies on biomarkers likely reveal modifiable host characteristics, which can be utilized direct antitumor defense. Examples latter approach priming therapy cytotoxic drugs elevation microbiome modification.

Language: Английский

Citations

1
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy DOI Creative Commons

Alla Bulashevska,

Zsófia Nacsa,

Franziska Lang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: May 29, 2024

Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular focus on neoantigens as promising targets for personalized treatments. The convergence of immunogenomics, bioinformatics, and artificial intelligence (AI) propelled the development innovative neoantigen discovery tools pipelines. These have revolutionized our ability to identify tumor-specific antigens, providing foundation precision cancer immunotherapy. AI-driven algorithms can process extensive amounts data, patterns, make predictions that were once challenging achieve. However, integration AI comes its own set challenges, leaving space further research. With computational approaches, this article we explored current landscape prediction, fundamental concepts behind, challenges their potential solutions comprehensive overview rapidly evolving field.

Language: Английский

Citations

6
Cinobufagin: Unveiling the hidden bufadienolide’s promise in combating alimentary canal cancer development and progression – a comprehensive review DOI
Beatriz Leme Boaro,

Enzo Pereira de Lima,

Durvanei Augusto Maria

et al.

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0
GENERATING RESEARCH HYPOTHESES TO OVERCOME KEY CHALLENGES IN THE EARLY DIAGNOSIS OF COLORECTAL CANCER - FUTURE APPLICATION OF AI DOI

Lan Yao,

Heliang Yin,

Chengyuan Yang

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217632 - 217632

Published: March 1, 2025

Language: Английский

Citations

0
Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma DOI Creative Commons
Xiang Xiong, Wenzhao Liu, Chun‐Hsu Yao

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: April 8, 2025

Lung cancer has the highest mortality rate among all cancers worldwide. Alkaliptosis is characterized by a pH-dependent form of regulated cell death. In this study, we constructed model related to alkaliptosis-associated long non-coding RNAs (lncRNAs) and developed prognosis-related framework, followed identification potential therapeutic drugs. The TCGA database was utilized obtain RNA-seq-based transcriptome profiling data, clinical information, mutation data. We conducted multivariate Cox regression analysis identify alkaliptosis-related lncRNAs. Subsequently, employed training group construct prognostic testing validate model's accuracy. Calibration curves were generated illustrate discrepancies between predicted observed outcomes. Principal Component Analysis (PCA) performed investigate distribution LUAD patients across high- low-risk groups. Additionally, Gene Ontology (GO) Set Enrichment (GSEA) conducted. Immune infiltration Tumor Mutational Burden (TMB) analyses carried out using CIBERSORT maftools algorithms. Finally, "oncoPredict" package predict immunotherapy sensitivity further forecast anti-tumor immune qPCR used for experimental verification. identified 155 lncRNAs determined that 5 these serve as independent factors. progression-free survival (PFS) overall (OS) rates significantly higher than those high-risk group. risk signature functions factor other variables. Different stages (I-II III-IV) effectively lung adenocarcinoma (LUAD) patients, can reliably signatures. GSEA revealed processes chromosome segregation response activation enriched in both exhibited lower fraction plasma cells proportion activated CD4 memory T cells. OS low TMB compared high Furthermore, drug greater These may biomarkers treating patients. summary, construction an lncRNA provides new insights into diagnosis treatment advanced

Language: Английский

Citations

0
Bidirectional Mendelian randomization and potential mechanistic insights into the causal relationship between gut microbiota and malignant mesothelioma DOI Creative Commons

Yinjie Zhou,

Huangkai Zhu, Long Zhao

et al.

Medicine, Journal Year: 2025, Volume and Issue: 104(17), P. e42245 - e42245

Published: April 25, 2025

Malignant mesothelioma (MM) is a rare but aggressive cancer originating from mesothelial cells, which presents significant challenges to patients’ physical and psychological well-being. The gut–lung axis underscores the connection between gut microbiota respiratory diseases, with emerging evidence suggesting strong association development of MM. In this study, we conducted two-sample Mendelian randomization (MR) analysis investigate potential causal relationship MM, while also exploring underlying mechanisms through bioinformatics approaches. Gut summary data were obtained MiBioGen consortium, MM sourced FinnGen R11 dataset. Causality was examined using inverse variance weighted method as primary analysis. Additional methods, including median, simple mode, MR-Egger, employed. robustness findings validated sensitivity analyses, reverse causality considered further strengthen MR results. Moreover, analyses on genetic loci associated both explore mechanisms. Our study suggests that genetically predicted increases in class.Bacilli , family.Rikenellaceae genus.Clostridium innocuum group order.Lactobacillales suggestively higher risk whereas genus.Ruminococcaceae UCG004 genus.Flavonifractor phylum.Firmicutes genus.Anaerofilum sensu stricto 1 genus.Lactobacillus appeared confer protective effects. Bioinformatics indicated differentially expressed genes near might affect by modulating pathways tumor microenvironment. results point predisposition linking Further experimental validation crucial confirm these candidate microbes, establish causality, elucidate

Language: Английский

Citations

0
Evaluating Tumour Mutational Burden as a Key Biomarker in Personalized Cancer Immunotherapy: A Pan-Cancer Systematic Review DOI Open Access
Anca Zgură,

Stefania Chipuc,

Nicolae Bacalbașa

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(3), P. 480 - 480

Published: Feb. 1, 2025

Background: Tumour mutational burden (TMB) is an emerging biomarker for predicting the efficacy of immune checkpoint inhibitors (ICIs) in cancer therapy. While its role well established lung and melanoma, predictive value breast prostate cancers remains unclear. Objective: This systematic review aimed to assess TMB ICI therapy across four major types—lung, breast, prostate—and explore factors contributing variability effectiveness as a biomarker. Methods: A search literature were conducted accordance with PRISMA guidelines. Studies examining relationship between levels clinical outcomes following specified analyzed. The data synthesized evaluate TMB’s identify gaps current research. Results: High consistently correlated improved confirming utility these cancers. Conversely, findings inconclusive. suggests need complementary biomarkers or refined criteria enhance reliability. Methodological inconsistencies evaluation also noted significant limitation. Conclusions: serves robust response but demonstrates limited Future research should prioritize standardizing assessment protocols investigating additional improve treatment personalization types.

Language: Английский

Citations

0
Exosome-based immunotherapy in hepatocellular carcinoma DOI Creative Commons
Zhihong Liu, Guowei Wang, Zhi Li

et al.

Clinical and Experimental Medicine, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 24, 2025

Language: Английский

Citations

0
Biologic activity and treatment resistance to gastrointestinal cancer: the role of circular RNA in autophagy regulation DOI Creative Commons
Bo Zhang, Zhe Li,

Guoliang Ye

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Aug. 30, 2024

Circular RNAs (circRNAs) lack the 5'-end methylated guanine cap structure and 3' polyadenylate tail structure, classifying it as a non-coding RNA. With extensive investigation of circRNA, its role in regulating cell death has garnered significant attention recent years, establishing recognized participant cancer's biological processes. Autophagy, an essential pathway programmed (PCD), involves formation autophagosomes using lysosomes to degrade cellular contents under regulation various autophagy-related (ATG) genes. Numerous studies have demonstrated that circRNA can modulate activity cancer cells by influencing autophagy pathway, exhibiting dualistic suppressing or promoting carcinogenesis. In this review, we comprehensively analyze how impacts progression gastrointestinal (GIC). Additionally, discuss drug resistance phenomena associated with GIC. This review offers valuable insights into exploring potential targets for prognosis treatment strategies related

Language: Английский

Citations

1
Basement membranes in lung metastasis growth and progression DOI Creative Commons

Irene Torre-Cea,

Patricia Berlana-Galán,

Elena Guerra-Paes

et al.

Matrix Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

The lung is a highly vascularized tissue that often harbors metastases from various extrathoracic malignancies. Lung parenchyma consists of complex network alveolar epithelial cells and microvessels, structured within an architecture defined by basement membranes. Consequently, understanding the role extracellular matrix (ECM) in growth essential to uncover biology this pathology developing targeted therapies. These membranes play critical progression metastases, influencing multiple stages metastatic cascade, acquisition aggressive phenotype intravasation, extravasation colonization secondary sites. This review examines biological composition membranes, focusing on their core components-collagens, fibronectin, laminin-and specific roles cancer progression. Additionally, we discuss function integrins as primary mediators cell adhesion signaling between tumor cells, matrix, well implications for lung. We also explore vascular co-option (VCO) form resistance linked vasculature. Finally, covers current clinical therapies targeting adhesion, remodeling, development, aiming improve precision effectiveness treatments against metastases.

Language: Английский

Citations

0