Prognostic significance of CNNM4 in ovarian cancer: a comprehensive bioinformatics analysis DOI Creative Commons

Yiya Wang

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

Published: Dec. 3, 2024

Ovarian cancer (OV) is a common malignancy in the female reproductive system, characterized by poor prognosis and high recurrence rates. The discovery of dependable molecular markers crucial for improving timeliness detection, diagnosis, treatment, ultimately aiming to lower fatality CNNM4 (cyclin CBS domain divalent metal cation transport mediator 4), member CNNM (Cyclin M) family, binds PRL (prolactin) regulate magnesium homeostasis influence tumor cell proliferation. Although implicated various cancers, its role OV remains unclear.

Language: Английский

Immune Checkpoint Inhibitor Therapy for Prostate Cancer: Present and Future Prospectives DOI Creative Commons
Vikrant Rai

Biomolecules, Journal Year: 2025, Volume and Issue: 15(6), P. 751 - 751

Published: May 22, 2025

Prostate cancer, a slow-growing tumor, develops through the over-proliferation of malignant cells in prostate and is one most common types cancer. Active surveillance, radical prostatectomy, external beam radiation, brachytherapy, cryotherapy, stereotactic body radiation therapy, hormone chemotherapy are treatment strategies for However, resistance to advanced cancer concerning issue use these therapies. Immune checkpoint inhibitor (ICI) therapy an emerging strategy cancers but limited efficacy ICIs observed metastatic castration-resistant (mCRPC) raises concerns. The ongoing clinical trials combination therapies mCRPC have provided some hope. This review concisely discusses molecular cellular mechanisms, immunotherapy, limitations ICIs, therapies, prospects developing novel therapeutics

Language: Английский

Citations

0
Analysis of the Gene Networks and Pathways Correlated with Tissue Differentiation in Prostate Cancer DOI Open Access
Alexandru Filippi, Justin Aurelian, Maria‐Magdalena Mocanu

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(7), P. 3626 - 3626

Published: March 24, 2024

Prostate cancer (PCa) is the most prevalent non-cutaneous in men. Early PCa detection has been made possible by adoption of screening methods based on serum prostate-specific antigen and Gleason score (GS). The aim this study was to correlate gene expression with differentiation level prostate adenocarcinomas, as indicated GS. We used data from Cancer Genome Atlas (TCGA) included 497 patients, 52 which also had normal tissue sample sequencing data. Gene ontology analysis revealed that higher GSs were associated greater responses DNA damage, telomere lengthening, cell division. Positive correlation found transcription factor activator adenovirus E2 (E2F) avian myelocytomatosis viral homolog (MYC) targets, G2M checkpoints, repair, mitotic spindles. Immune deconvolution high M0 macrophage counts an increase M2 macrophages dependent molecular pathways correlated cycle, RNA transport, calcium signaling (depleted). A combinatorial approach identified a set eight genes able differentiate k-Nearest Neighbors (kNN) between tissues, low-Gleason high-Gleason tissues accuracy. In conclusion, our could be step forward better understanding link progression aggressiveness.

Language: Английский

Citations

3
Machine learning-based integration develops a mitophagy-related lncRNA signature for predicting the progression of prostate cancer: a bioinformatic analysis DOI Creative Commons

Caixia Dai,

Xiangju Zeng,

Xiuhong Zhang

et al.

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

Published: July 29, 2024

Abstract Prostate cancer remains a complex and challenging disease, necessitating innovative approaches for prognosis therapeutic guidance. This study integrates machine learning techniques to develop novel mitophagy-related long non-coding RNA (lncRNA) signature predicting the progression of prostate cancer. Leveraging TCGA-PRAD dataset, we identify set four key lncRNAs formulate riskscore, revealing its potential as prognostic indicator. Subsequent analyses unravel intricate connections between immune cell infiltration, mutational landscapes, treatment outcomes. Notably, pan-cancer exploration YEATS2-AS1 highlights pervasive impact, demonstrating elevated expression across various malignancies. Furthermore, drug sensitivity predictions based on riskscore guide personalized chemotherapy strategies, with drugs like Carmustine Entinostat showing distinct suitability high low-risk group patients. Regression analysis exposes significant correlations lncRNAs, genes. Molecular docking reveal promising interactions Cyclophosphamide proteins encoded by these genes, suggesting avenues. comprehensive not only introduces robust tool but also provides valuable insights into molecular intricacies interventions in cancer, paving way more effective clinical approaches.

Language: Английский

Citations

1
Thyroid cancer prognostic biomarker ARL4A and its relationship with immune infiltration DOI Open Access

Xiaoyong Han

International Journal of Clinical and Experimental Pathology, Journal Year: 2024, Volume and Issue: 17(4), P. 108 - 120

Published: Jan. 1, 2024

Background: Thyroid cancer (THCA) is a prevalent form of with high rates morbidity and mortality.The small GTPase ADP-ribosylation factor-like 4A (ARL4A) integral to various cellular processes, including cytoskeletal restructuring, vesicular transport, cell migration, neuronal development.However, the role ARL4A as clinical predictor, particularly its relation immune infiltration in THCA, remains unclear.Methods: A combination experimental studies analysis online databases was employed investigate expression THCA.Clinical pathological data from THCA patients were compiled for comprehensive subgroup analysis.The Kaplan-Meier Cox regression methods utilized evaluate prognostic significance patients.Finally, "Cancer Genome Atlas" analyzed explore correlation between infiltration, expression, their joint impact on prognosis.Results: exhibited low THCA.An elevated associated poor prognosis.Moreover, correlated age, gender, stage found be negatively influenced prognosis through changes environment.Conclusion: may serve potential biomarker diagnosis treatment impacting modulation microenvironment.

Language: Английский

Citations

0
Prostate cancer subtyping and differential methylation analysis based on the ETS family of transcription factors fusion genes DOI Creative Commons
Wenkang Niu,

Guifang Li,

Tingting Zhang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 6, 2024

Language: Английский

Citations

0
Prognostic significance of CNNM4 in ovarian cancer: a comprehensive bioinformatics analysis DOI Creative Commons

Yiya Wang

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

Published: Dec. 3, 2024

Ovarian cancer (OV) is a common malignancy in the female reproductive system, characterized by poor prognosis and high recurrence rates. The discovery of dependable molecular markers crucial for improving timeliness detection, diagnosis, treatment, ultimately aiming to lower fatality CNNM4 (cyclin CBS domain divalent metal cation transport mediator 4), member CNNM (Cyclin M) family, binds PRL (prolactin) regulate magnesium homeostasis influence tumor cell proliferation. Although implicated various cancers, its role OV remains unclear.

Language: Английский

Citations

0