Identification of novel biomarkers in prostate cancer diagnosis and prognosis

Bisphenol S enhances the cell proliferation ability of prostate cancer cells by regulating the expression of SDS

Recent times have witnessed an increase in both incidence and mortality rates of prostate cancer. While some individuals with localized or metastatic cancer may progress slowly with a lower mortality risk, those with intermediate or high-risk cancer often face a higher likelihood of death, despite treatment. Bisphenol A (BPA) has been linked to various cancers, including prostate and breast cancer, yet the relationship between bisphenol S (BPS) and human health remains underexplored. In our study, we employed ssGSEA analysis to evaluate the BPS-associated score in a prostate cancer cohort. Additionally, differential expression analysis identified BPS-related genes within the same group. Through COX and LASSO regression analyses, we developed and validated a BPS-related risk model using ROC curve and survival analyses. A nomogram, integrating clinical characteristics with this risk model, was established for improved predictive accuracy, further substantiated by calibration curve validation. Molecular docking analysis suggested potential binding between SDS and BPS. We also conducted cell proliferation assays on C4-2 and LNCaP prostate cancer cells, revealing increased cell growth at a BPS concentration of 10-7 M, as evidenced by CCK8 and EdU assays. In summary, our findings shed light on the BPS-prostate cancer linkage, identifying BPS-associated genes, establishing a validated risk model, exploring SDS-BPS binding potential, and assessing BPS's effect on prostate cancer cell growth. These insights underscore the need for further investigation into BPS and its impact on human diseases.

Updated review on analysis of long non-coding RNAs as emerging diagnostic and therapeutic targets in prostate cancers

Despite advancements, prostate cancers (PCa) pose a significant global health challenge due to delayed diagnosis and therapeutic resistance. This review delves into the complex landscape of prostate cancer, with a focus on long-noncoding RNAs (lncRNAs). Also explores the influence of aberrant lncRNAs expression in progressive PCa stages, impacting traits like proliferation, invasion, metastasis and therapeutic resistance. The study elucidates how lncRNAs modulate crucial molecular effectors, including transcription factors and microRNAs, affecting signaling pathways such as androgen receptor signaling. Besides, this manuscript sheds light on novel concepts and mechanisms driving PCa progression through lncRNAs, providing a critical analysis of their impact on the disease's diverse characteristics. Besides, it discusses the potential of lncRNAs as diagnostics and therapeutic targets in PCa. Collectively, this work highlights state of art mechanistic comprehension and rigorous scientific approaches to advance our understanding of PCa and depict innovations in this evolving field of research.

Prostate cancer: Novel genetic and immunologic biomarkers

Prostate cancer (PCa) is considered one of the most prevalent male malignancies worldwide with a global burden estimated to increase over the next two decades. Due to significant mortality and debilitation of survival, early diagnosis has been described as key. Unfortunately, current diagnostic serum-based strategies have low specificity and sensitivity. Histologic examination is invasive and not useful for treatment and monitoring purposes. Hence, a plethora of studies have been conducted to identify and validate an efficient noninvasive approach in the diagnosis, staging, and prognosis of PCa. These investigations may be categorized as genetic (non-coding biomarkers and gene markers), immunologic (immune cells, interleukins, cytokines, antibodies, and auto-antibodies), and heterogenous (PSA-related markers, PHI-related indices, and urinary biomarkers) subgroups. This review examines current approaches and potential strategies using biomarker panels in PCa.

Curcumin inhibits prostate cancer by upregulating miR-483-3p and inhibiting UBE2C

Prostate cancer (PCa) is an extremely common genitourinary malignancy among elderly men. Many evidence have shown the efficacy of curcumin (CUR) in inhibiting the progression of PCa. However, the pharmacological function of CUR in PCa is still not quite clear. In this research, CUR was found to suppress the proliferation and enhance the apoptotic rate in in vitro PCa cell models in a dose- and time-dependent manner. In a xenograft animal model, the administration of CUR contributed to a significant decrease in the growth of the xenograft tumor induced by the transplanted PC-3 cells. Ubiquitin-conjugating enzyme E2 C is implicated in the modulation of multiple types of cancers. In humans, the expression levels of UBE2C are significantly higher in PCa versus benign prostatic hyperplasia. Treatment with CUR decreased the expression of UBE2C, whereas it increased miR-483-3p expression. In contrast with the control mice, the CUR-treated mice showed a significant reduction in UBE2C and Ki-67 in PCa cells. The capability of proliferation, migration, and invasion of PCa cells was inhibited by the knockdown of UBE2C mediated by siRNA. Furthermore, dual luciferase reporter gene assay indicated the binding of miR-483-3p to UBE2C. In summary, CUR exerts its antitumor effects through regulation of the miR-483-3p/UBE2C axis by decreasing UBE2C and increasing miR-483-3p. The findings may also provide new molecular markers for PCa diagnosis and treatment.

Stress induced phosphoprotein 1 overexpression controls proliferation, migration and invasion and is associated with poor survival in oral squamous cell carcinoma

Objective

Although there have been remarkable achievements in the molecular landscape of oral squamous cell carcinoma (OSCC) in recent years, bringing advances in the understanding of its pathogenesis, development and progression, little has been applied in the prognosis and choosing the optimal treatment. In this study, we explored the influence of the stress induced phosphoprotein 1 (STIP1), which is frequently reported to be highly expressed in many cancers, in OSCCs.

Methods

STIP1 expression was assessed in the TCGA database and in two independent cohorts by immunohistochemistry. Knockdown strategy was applied in OSCC cell lines to determine the impact of STIP1 on viability, proliferation, migration and invasion. The zebrafish model was applied for studying tumor formation and metastasis in vivo. The association of STIP1 and miR-218-5p was explored by bioinformatics and mimics transfection.

Results

STIP1 was highly expressed in OSCCs and significantly associated with shortened survival and higher risk of recurrence. STIP1 down-regulation decreased proliferation, migration and invasion of tumor cells, and reduced the number of metastases in the Zebrafish model. STIP1 and miR-218-5p were inversely expressed, and the transfection of miR-218-5p mimics into OSCC cells decreased STIP1 levels as well as proliferation, migration and invasion.

Conclusion

Our findings show that STIP1 overexpression, which is inversely associated with miR-218-5p levels, contributes to OSCC aggressiveness by controlling proliferation, migration and invasion and is a determinant of poor prognosis.

Overexpression of Ubiquitin-Conjugating Enzyme E2C Is Associated with Worsened Prognosis in Prostate Cancer

To evaluate the role of ubiquitin-conjugating enzyme E2C (UBE2C) in prostate cancer (PCa) progression and prognosis, the TCGA and our PCa tissue microarray cohort were included in the study. Weighted gene co-expression network analysis (WGCNA) and non-negative matrix factorization were used to cluster patients and to screen genes that play a vital role in PCa progression (hub gene). Immunohistochemistry staining was used to evaluate the protein level of UBE2C in prostatic tissues. Through WGCNA, we found a gene co-expression module (named the purple module) that is strongly associated with the Gleason score, pathologic T stage, and biochemical recurrent status. Genes in the purple module are enriched in cell cycle and P53 signaling and help us to cluster patients into two groups with distinctive biochemical recurrent survival rates and TP53 mutation statuses. Further analysis showed UBE2C served as a hub gene in the purple module. The expression of UBE2C in PCa was significantly higher than that in paracancerous tissues and was remarkably associated with pathologic grade, Gleason score, and prognosis in PCa patients. To conclude, UBE2C is a PCa-progress-related gene and a biomarker for PCa patients. Therapy targeting UBE2C may serve as a promising treatment of PCa in the future.

The Long and the Short of It: NEAT1 and Cancer Cell Metabolism

Simple Summary

Altered metabolism is a hallmark of most cancers. The way that cancer cells regulate their energy production to fuel constant proliferation has been of interest with the hope that it may be exploited therapeutically. The long noncoding RNA, NEAT1, is often dysregulated in tumours. NEAT1 RNA can be transcribed as two isoforms with different lengths, with each variant responsible for different functions. This review explores how the isoforms contribute to cancer metabolism.

Abstract

The long noncoding RNA NEAT1 is known to be heavily dysregulated in many cancers. A single exon gene produces two isoforms, NEAT1_1 and NEAT1_2, through alternative 3′-end processing. As the longer isoform, NEAT1_2 is an essential scaffold for nuclear paraspeckle formation. It was previously thought that the short NEAT1_1 isoform only exists to keep the NEAT1 locus active for rapid paraspeckle formation. However, a recent glycolysis-enhancing function for NEAT1_1, contributing to cancer cell proliferation and the Warburg effect, has been demonstrated. Previous studies have mainly focused on quantifying total NEAT1 and NEAT1_2 expression levels. However, in light of the NEAT1_1 role in cancer cell metabolism, the contribution from specific NEAT1 isoforms is no longer clear. Here, the roles of NEAT1_1 and NEAT1_2 in metabolism and cancer progression are discussed.