Radiotherapy (RT) is one of the main treatments for men with prostate cancer (PCa). To date, numerous sophisticated nano-formulations as radiosensitizers have been synthesized with inspiring therapeutic effects both in vitro and in vivo; however, almost all the attention has been paid on the enhanced dose deposition effect by secondary electrons of nanomaterials with high atomic numbers (Z); despite this, cell-cycle arrest, DNA damage, and also reactive oxygen species (ROS) production are critical working mechanisms that account for radiosensitization. Herein, an ‘all-purpose’ nanostrategy based on dose deposition enhancement, cell cycle arrest, and ROS production as prostate cancer radiosensitizer for potential clinical translation was proposed. The rather simple structure of docetaxel-loaded Au nanoparticles (NPs) with prostate specific membrane antigen (PSMA) ligand conjugation have been successfully synthesized. Enhanced cellular uptake achieved via the selective internalization of the NPs by PCa cells with positive PSMA expression could guarantee enhanced dose deposition. Moreover, the as-synthesized nanosystem could effectively arrest the cell cycle at G2/M phases, which would reduce the ability of DNA damage repair for more irradiation sensitive of the PCa cells. Moreover, the G2/M phase arrest would further promote cascade retention and the enrichment of NPs within the cells. Furthermore, ROS generation and double strand breaks greatly promoted by NPs under irradiation (IR) could also provide an underlying basis for effective radiosensitizers. In vitro and in vivo investigations confirmed the as-synthesized NPs as an effective nano-radiosensitizer with ideal safety. More importantly, all moieties within the present nanosystem have been approved by FDA for the purpose of PCa treatment, thus making it highly attractive for clinical translation.

The burden of hepatocellular carcinoma (HCC) worldwide is increasing over time, while the underlying molecular mechanism of HCC development is still under exploration. Pseudogenes are classified as a special type of long non-coding RNAs (lncRNAs), and they played a vital role in regulating tumor-associated gene expression. Here, we report that a pseudogene peptidylprolyl isomerase A pseudogene 22 (PPIAP22) and its parental gene peptidylprolyl isomerase A (PPIA) were upregulated in HCC and were associated with the clinical outcomes of HCC. Further investigation revealed that PPIAP22 might upregulate the expression of PPIA through sponging microRNA (miR)-197-3p, behaving as competing endogenous RNA (ceRNA). PPIA could participate in the development of HCC by regulating mRNA metabolic process and tumor immunity based on the functional enrichment analysis. We also found a strong correlation between the expression levels of PPIA and the immune cell infiltration or the expression of chemokines, especially macrophage, C-C motif chemokine ligand 15 (CCL15), and C-X-C motif chemokine ligand 12 (CXCL12). Our findings demonstrate that the PPIAP22/miR-197-3p/PPIA axis plays a vital role in the progression of HCC by increasing the malignancy of tumor cells and regulating the immune cell infiltration, especially macrophage, through CCL15-CCR1 or CXCL12-CXCR4/CXCR7 pathways.

Objective: We aimed compare the oncologic outcomes of radical prostatectomy (RP) with those of external beam radiotherapy (EBRT), brachytherapy (BT), or EBRT + BT (EBBT) in elderly patients with localised prostate cancer (PCa). Methods: Localised PCa patients aged ≥70 years who underwent RP, EBRT, BT, or EBBT between 2004 and 2016 were identified from the Surveillance, Epidemiology, and End Results database. Multivariable competing risks survival analyses were used to estimate prostate cancer-specific mortality (CSM) and other-cause mortality (OCM). Subgroup analyses according to risk categories were also conducted. Results: Overall, 14057, 37712, 8383, and 5244 patients aged ≥70 years and treated with RP, EBRT, BT, and EBBT, respectively, were identified. In low- to intermediate-risk patients, there was no significant difference in CSM risk between RP and the other three radiotherapy modalities (all P > 0.05). The corresponding 10-year CSM rates for these patients were 1.2%, 2.3%, 2.0%, and 1.8%, respectively. In high-risk patients, EBRT was associated with a higher CSM than RP (P = 0.003), whereas there was no significant difference between RP and BT or RP and EBBT (all P > 0.05). The 10-year CSM rates of high-risk patients in the RP, EBRT, BT, and EBBT groups were 7.5%, 10.2%, 8.3%, and 7.6%, respectively. Regarding OCM, the risk was generally lower in RP than in the other three radiotherapy modalities (all P < 0.001). Conclusions: Among men aged ≥70 years with localised PCa, EBRT, BT, and EBBT offer cancer-specific outcomes similar to those of RP for individuals with low- to intermediate-risk disease. In patients with high-risk disease, EBBT had outcomes equally favourable to those of RP, but RP is more beneficial than EBRT. More high-quality trials are warranted to confirm and expand the present findings.

Prostate cancer (PCa) is a unique cancer from a metabolic perspective. Androgen receptor assumes a vital part in normal and malignant prostate cells regarding almost all aspects of cell metabolism, such as glucose, fat, amino acids, nucleotides, and so on. We used The Cancer Genome Atlas database as training set, Memorial Sloan‐Kettering Cancer Center cohort as validation set, and Gene Expression Omnibus database (GSE70769) as test set to identify the optimal prognostic signature. We evaluated the signature in terms of biochemical progression‐free survival (bPFS), ROC curve, clinicopathological features, independent prognostic indicators, tumor microenvironment, and infiltrating immune cells. Nomogram was built dependent on the results of cox regression analyses. GSEA algorithm was used to evaluate differences in metabolism. The signature's prediction of androgen deprivation therapy (ADT) response was validated based on two groups of basic cytological experiments treat with ADT (GSE143408 and GSE120343) and the transcriptional information of pre‐ADT/post‐ADT of six local PCa patients. We finally input four screened genes into the stepwise regression model to construct metabolism‐related signature. The signature shows good prediction performance in training set, verification set, and test set. A nomogram based on the PSA, Gleason score, T staging, and the signature risk score could predict 1‐, 3‐, and 5‐year bPFS with the high area under curve values. Based on gene‐set enrichment analysis, the characteristics of four genes signature could influence some important metabolic biological processes of PCa and were serendipitously found to be significantly related to androgen response. Subsequently, two cytological experimental data sets and our local patient sequencing data set verified that the signature may be helpful to evaluate the therapeutic response of PCa to ADT. Our systematic study definite a metabolism‐related gene signature to foresee prognosis of PCa patients which might add to individual prevention and treatment.

Background: The effect of the adenoviral early region 2 binding factors (E2Fs) target pathway on prostate cancer is not clear. It is necessary to establish an E2F target-related gene signature to predict prognosis and facilitate clinical decision-making.Methods: An E2F target-related gene signature was established by univariate and LASSO Cox regression analyses, and its predictive ability was verified in multiple cohorts. Moreover, the enrichment pathway, immune microenvironment, and drug sensitivity of the activated E2F target pathway were also explored.Results: The E2F target-related gene signature consisted of MXD3, PLK1, EPHA10, and KIF4A. The patients with high-risk scores showed poor prognosis, therapeutic resistance, and immunosuppression, along with abnormal growth characteristics of cells. Tinib drugs showed high sensitivity to the expression of MXD3 and EPHA10 genes.Conclusion: Our research established an E2F target-related signature for predicting the prognosis of prostate cancer. This study provides insights into formulating individualized detection and treatment as well as provides a theoretical basis for future research.