Metagenomics studies for the diagnosis and treatment of prostate cancer

An anoikis-related gene signature for prediction of the prognosis in prostate cancer

Purpose

This study presents a novel approach to predict postoperative biochemical recurrence (BCR) in prostate cancer (PCa) patients which involves constructing a signature based on anoikis-related genes (ARGs).

Methods

In this study, we utilised data from TCGA-PARD and GEO databases to identify specific ARGs in prostate cancer. We established a signature of these ARGs using Cox regression analysis and evaluated their clinical predictive efficacy and immune-related status through various methods such as Kaplan-Meier survival analysis, subject work characteristics analysis, and CIBERSORT method. Our findings suggest that these ARGs may have potential as biomarkers for prostate cancer prognosis and treatment. To investigate the biological pathways of genes associated with anoikis, we utilised GSVA, GO, and KEGG. The expression of ARGs was confirmed by the HPA database. Furthermore, we conducted PPI analysis to identify the core network of ARGs in PCa.

Results

Based on analysis of the TCGA database, a set of eight ARGs were identified as prognostic signature genes for prostate cancer. The reliability and validity of this signature were well verified in both the TCGA and GEO codifications. Using this signature, patients were classified into two groups based on their risk for developing BCR. There was a significant difference in BCR-free time between the high and low risk groups (P < 0.05).This signature serves as a dependable and unbiased prognostic factor for predicting biochemical recurrence (BCR) in prostate cancer (PCa) patients. It outperforms clinicopathological characteristics in terms of accuracy and reliability. PLK1 may play a potential regulatory role as a core gene in the development of prostate cancer.

Conclusion

This signature suggests the potential role of ARGs in the development and progression of PCa and can effectively predict the risk of BCR in PCa patients after surgery. It also provides a basis for further research into the mechanism of ARGs in PCa and for the clinical management of patients with PCa.

Intermittent Fasting Protects Against Age-Induced Rat Benign Prostatic Hyperplasia via Preservation of Prostatic Histomorphology, Modification of Oxidative Stress, and Beclin-1/P62 Pathway

Intermittent fasting (IF) has several beneficial effects on most age-related degenerative changes in the body. Here we aimed to investigate the impact of IF on the biochemical and morphological abnormalities associated with normal aging in rat prostate. Thirty male albino rats were used and divided into three equal groups: adult group, rats aged 3 months; aged group, rats aged 15 months; and IF-aged group, rats aged 15 months maintained on intermittent fasting. After 3 months, prostates were excised and processed for biochemical, histological, and immunohistochemical study. Aging resulted in prostatic histological changes that resemble those of benign prostatic hyperplasia (BPH) with increased malondialdehyde (MDA) level, decreased glutathione (GSH) level, reduction of autophagy, and increased proliferation. Intermittent fasting ameliorated these described age-related prostatic changes. It could be concluded that IF could prevent age-induced BPH. This occurs via its anti-inflammatory and anti-proliferative effects, suppression of oxidative stress, and by improving autophagy via Beclin-1/P62 modulation. These mechanisms underlie the IF-mediated protection against age-related BPH. Because of IF safety and easy availability over BPH medications, it might be promising for managing BPH after further clinical studies.

Applying multi-omics toward tumor microbiome research

Rather than a "short-term tenant," the tumor microbiome has been shown to play a vital role as a "permanent resident," affecting carcinogenesis, cancer development, metastasis, and cancer therapies. As the tumor microbiome has great potential to become a target for the early diagnosis and treatment of cancer, recent research on the relevance of the tumor microbiota has attracted a wide range of attention from various scientific fields, resulting in remarkable progress that benefits from the development of interdisciplinary technologies. However, there are still a great variety of challenges in this emerging area, such as the low biomass of intratumoral bacteria and unculturable character of some microbial species. Due to the complexity of tumor microbiome research (e.g., the heterogeneity of tumor microenvironment), new methods with high spatial and temporal resolution are urgently needed. Among these developing methods, multi-omics technologies (combinations of genomics, transcriptomics, proteomics, and metabolomics) are powerful approaches that can facilitate the understanding of the tumor microbiome on different levels of the central dogma. Therefore, multi-omics (especially single-cell omics) will make enormous impacts on the future studies of the interplay between microbes and tumor microenvironment. In this review, we have systematically summarized the advances in multi-omics and their existing and potential applications in tumor microbiome research, thus providing an omics toolbox for investigators to reference in the future.