Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer DOI Creative Commons

Luochen Zhu,

Xiao Feng, Yi Hou

et al.

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

Published: Nov. 27, 2024

Background Anoikis, a unique form of cell death, serves as vital part the organism's defense by preventing shedding cells from re-attaching to incorrect positions, and plays pivotal role in cancer metastasis. Nonetheless, specific mechanisms among anoikis, clinical prognosis tumor microenvironment (TME) bladder (BLCA) are insufficiently understood. Method BLCA patients were classified into different anoikis subtypes based on expression candidate anoikis-related genes (ARGs), differences clinicopathological features, TME, immune infiltration, checkpoints between two analyzed. Next, TCGA cohort randomized train test groups 1:1 ratio. Subsequently, model was constructed predict via utilizing univariate Cox, LASSO multivariate Cox analyses, validated internally externally. Moreover, relationships risk score clinicopathologic immunotherapy response, antitumor drug sensitivity also In addition, representative evaluated using immunohistochemistry specimens, lines, functional experiments performed determine biological behavior hub gene PLOD1. Result Two definite subgroups identified. Compared ARGcluster A, assigned B characterized an immunosuppressive worse prognosis. Then, model, including PLOD1, EHBP1, CSPG4, constructed, low-risk group better accurate nomogram built improve applicability combining age, stage Score. infiltration features differed significantly high- groups. We found that exhibited lower dysfunction exclusion score, higher immunophenoscore (IPS), had more immunotherapy. Eventually, levels three verified our experiment, knockdown PLOD1 could inhibit invasion migration abilities lines. Conclusion These results demonstrated new direction precision therapy for BLCA, indicated ARGs might be helpful predicting therapeutic targets BLCA.

Language: Английский

Tumor dormancy and relapse: understanding the molecular mechanisms of cancer recurrence DOI Creative Commons
Muhammad Tufail, Canhua Jiang, Ning Li

et al.

Military Medical Research, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 11, 2025

Abstract Cancer recurrence, driven by the phenomenon of tumor dormancy, presents a formidable challenge in oncology. Dormant cancer cells have ability to evade detection and treatment, leading relapse. This review emphasizes urgent need comprehend dormancy its implications for recurrence. Despite notable advancements, significant gaps remain our understanding mechanisms underlying lack reliable biomarkers predicting provides comprehensive analysis cellular, angiogenic, immunological aspects dormancy. It highlights current therapeutic strategies targeting dormant cells, particularly combination therapies immunotherapies, which hold promise preventing By elucidating these proposing innovative research methodologies, this aims deepen ultimately facilitating development more effective recurrence improving patient outcomes.

Language: Английский

Citations

2
Pathogenetic development, diagnosis and clinical therapeutic approaches for liver metastasis from colorectal cancer (Review) DOI Creative Commons
Zhenhua Jin,

Yin Li,

Yi Hao

et al.

International Journal of Oncology, Journal Year: 2025, Volume and Issue: 66(3)

Published: Feb. 14, 2025

Colorectal cancer (CRC) is a prevalent malignancy and significant proportion of patients with CRC develop liver metastasis (CRLM), which major contributor to CRC‑related mortality. The present review aimed comprehensively examine the pathogenetic development diagnosis CRLM clinical therapeutic approaches for treatment this disease. molecular mechanisms underlying were discussed, including role tumour microenvironment epithelial‑mesenchymal transition. also highlighted importance early detection current challenges in predicting CRLM. Various strategies reviewed, surgical resection, chemotherapy immunotherapy, potential novel therapies, such as selective internal radiation therapy Traditional Chinese Medicine. Despite recent advancements options, remains challenge due complexity heterogeneity CRC. emphasized need multidisciplinary approach integration emerging therapies improve patient outcomes.

Language: Английский

Citations

1
Tumor microbiome: roles in tumor initiation, progression, and therapy DOI Creative Commons

Shengxin Zhang,

Jing Huang,

Z. X. Jiang

et al.

Molecular Biomedicine, Journal Year: 2025, Volume and Issue: 6(1)

Published: Feb. 8, 2025

Abstract Over the past few years, tumor microbiome is increasingly recognized for its multifaceted involvement in cancer initiation, progression, and metastasis. With application of 16S ribosomal ribonucleic acid (16S rRNA) sequencing, intratumoral microbiome, also referred to as tumor-intrinsic or tumor-resident has been found play a significant role microenvironment (TME). Understanding their complex functions critical identifying new therapeutic avenues improving treatment outcomes. This review first summarizes origins composition these microbial communities, emphasizing adapted diversity across diverse range types stages. Moreover, we outline general mechanisms by which specific microbes induce including activation carcinogenic pathways, deoxyribonucleic (DNA) damage, epigenetic modifications, chronic inflammation. We further propose may evade immunity promote angiogenesis support while uncovering influences on each step metastatic cascade, such invasion, circulation, seeding secondary sites. Additionally, closely associated with drug resistance efficacy modulating immune responses, metabolism, apoptotic pathways. Furthermore, explore innovative microbe-based strategies, engineered bacteria, oncolytic virotherapy, other modalities aimed at enhancing immunotherapeutic efficacy, paving way microbiome-centered frameworks.

Language: Английский

Citations

0
Synthesis, characterization and biological research of novel 2-(quinoline-4-carbonyl)hydrazide-acrylamide hybrids as potential anticancer agents on MCF-7 breast carcinoma cells by targeting EGFR-TK DOI Creative Commons
Hany M. Abd El‐Lateef, Duaa Bafail,

Noura Hamdi Yousef Alhalees

et al.

RSC Advances, Journal Year: 2024, Volume and Issue: 14(32), P. 23495 - 23504

Published: Jan. 1, 2024

A sequence of novel 2-(quinoline-4-carbonyl)hydrazide scaffolds carrying the acrylamide moiety have been synthesized and evaluated for in vitro cytotoxicity against an MCF-7 breast cancer cell line.

Language: Английский

Citations

2
LncRNA FAISL Inhibits Calpain 2‐Mediated Proteolysis of FAK to Promote Progression and Metastasis of Triple Negative Breast Cancer DOI Creative Commons
Yunmei Zhang, Shiyu Wei,

Zhengjie Chen

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Abstract Triple negative breast cancer (TNBC) is the most aggressive subtype in tumors. When re‐analyzing TCGA dataset, we found cell adhesion molecules are highly enriched differentially expressed genes TNBC samples, among which Focal Adhesion Kinase (FAK) significantly associated with poor survival of patients. FAK precisely modulated focal dynamics. To investigate whether lncRNAs regulate signaling, performed RNA immunoprecipitation sequencing and FAISL (FAK Interacting Stabilizing LncRNA) abundantly FAK‐interacting frequently overexpressed tissues. promotes adhesion, cytoskeleton spreading, proliferation, anchor‐independent survival. doesn't affect mRNA but positively regulates protein level by blocking Calpain 2‐mediated proteolysis. interacts C‐terminus domain FAK, whereby masks binding site 2 prevents cleavage. High correlates expression tumor tissues prognosis A siRNA delivery system targeting using reduction‐responsive nanoparticles effectively inhibits growth metastasis mouse models. Together, these findings uncover a lncRNA‐mediated mechanism regulating proteolysis progression, highlight potential lncRNA for treatment.

Language: Английский

Citations

2
Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer DOI Creative Commons

Luochen Zhu,

Xiao Feng, Yi Hou

et al.

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

Published: Nov. 27, 2024

Background Anoikis, a unique form of cell death, serves as vital part the organism's defense by preventing shedding cells from re-attaching to incorrect positions, and plays pivotal role in cancer metastasis. Nonetheless, specific mechanisms among anoikis, clinical prognosis tumor microenvironment (TME) bladder (BLCA) are insufficiently understood. Method BLCA patients were classified into different anoikis subtypes based on expression candidate anoikis-related genes (ARGs), differences clinicopathological features, TME, immune infiltration, checkpoints between two analyzed. Next, TCGA cohort randomized train test groups 1:1 ratio. Subsequently, model was constructed predict via utilizing univariate Cox, LASSO multivariate Cox analyses, validated internally externally. Moreover, relationships risk score clinicopathologic immunotherapy response, antitumor drug sensitivity also In addition, representative evaluated using immunohistochemistry specimens, lines, functional experiments performed determine biological behavior hub gene PLOD1. Result Two definite subgroups identified. Compared ARGcluster A, assigned B characterized an immunosuppressive worse prognosis. Then, model, including PLOD1, EHBP1, CSPG4, constructed, low-risk group better accurate nomogram built improve applicability combining age, stage Score. infiltration features differed significantly high- groups. We found that exhibited lower dysfunction exclusion score, higher immunophenoscore (IPS), had more immunotherapy. Eventually, levels three verified our experiment, knockdown PLOD1 could inhibit invasion migration abilities lines. Conclusion These results demonstrated new direction precision therapy for BLCA, indicated ARGs might be helpful predicting therapeutic targets BLCA.

Language: Английский

Citations

0