OBJECTIVE: To explore the differences in perioperative clinical and pathological characteristics of patients with different pathological types of prostate cancer undergoing radical prostatectomy, and to analyze the influencing factors that may affect the extraglandular invasion of ductal adenocarcinoma of the prostate. METHODS: Retrospective collection was made of the radical prostatectomy patients who were admitted to Peking University Third Hospital from December 2011 to April 2021. The patients were screened based on inclusion criteria to obtain basic clinical features and postoperative pathological results. According to the pathological results, the patients were divided into ductal adenocarcinoma group (mixed with ductal adenocarcinoma) and acinar adenocarcinoma group, and a 1 ∶1 propensity score matching was performed to compare the differences in clinical characteristics between the two groups. Univariate and multivariate analyses of the factors related to extraglandular invasion were performed in the matched ductal adenocarcinoma groups. RESULTS: A total of 764 patients with prostate cancer were enrolled in this study, of which 62 patients were confirmed to have ductal adenocarcinoma components by postoperative pathology. There was a statistically significant difference in the proportion of the patients with a history of diabetes in baseline characteristics between the two groups before propensity score matching (29.5% vs. 17.7%, P=0.027). A total of 61 patients with simple acinar adenocarcinoma were successfully matched with the patients with ductal adenocarcinoma, and there was no statistically significant difference in baseline characteristics between the two groups after matching (P>0.05). The comparison of perioperative clinical and pathological features showed that International Society of Urology Pathology (ISUP) grade (P=0.003), pT stage (P=0.004), extraglandular invasion rate (P=0.018) and vascular thrombus rate (P=0.019) in ductal adenocarcinoma group were significantly higher than those in simple acinous adenocarcinoma group. Univariate analysis of the influence factors of extraglandular invasion showed that prostate-specific antigen (PSA) level, prostate volume, ISUP grade, seminal vesicle invasion and perineural invasion might be the influencing factors of extraglandular invasion (P < 0.10). Binary Logistic regression analysis showed that perineural invasion was an independent factor of extraglandular invasion (OR=11.78, 95%CI: 1.97-70.56, P=0.007). CONCLUSION Prostatic ductal adenocarcinoma has a worse prognosis than simple acinar adenocarcinoma. Perineural invasion is the influencing factor of extraglandular invasion of ductal adenocarcinoma.
Humans ; Male ; Prostatic Neoplasms/surgery* ; Retrospective Studies ; Prostatectomy ; Neoplasm Invasiveness ; Middle Aged ; Aged ; Carcinoma, Ductal/surgery* ; Propensity Score ; Adenocarcinoma/surgery*

Prostate cancer is the second most common cancer in men, accounting for 14.1% of new cancer cases in 2020. The aggressiveness of prostate cancer is highly variable, depending on its grade and stage at the time of diagnosis. Despite recent advances in prostate cancer treatment, some patients still experience recurrence or even progression after undergoing radical treatment. Accurate initial staging and monitoring for recurrence determine patient management, which in turn affect patient prognosis and survival. Classical imaging has limitations in the diagnosis and treatment of prostate cancer, but the use of novel molecular probes has improved the detection rate, specificity, and accuracy of prostate cancer detection. Molecular probe-based imaging modalities allow the visualization and quantitative measurement of biological processes at the molecular and cellular levels in living systems. An increased understanding of tumor biology of prostate cancer and the discovery of new tumor biomarkers have allowed the exploration of additional molecular probe targets. The development of novel ligands and advances in nano-based delivery technologies have accelerated the research and development of molecular probes. Here, we summarize the use of molecular probes in positron emission tomography (PET), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), optical imaging, and ultrasound imaging, and provide a brief overview of important target molecules in prostate cancer.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Molecular Probes ; Molecular Imaging/methods* ; Magnetic Resonance Imaging ; Positron-Emission Tomography ; Tomography, Emission-Computed, Single-Photon ; Ultrasonography ; Optical Imaging ; Biomarkers, Tumor ; Precision Medicine/methods*

OBJECTIVES: To identify immunosuppressive neutrophil subsets in patients with prostate cancer (PCa) and construct a risk prediction model for prognosis and immunotherapy response of the patients based on these neutrophil subsets. METHODS: Single-cell and transcriptome data from PCa patients were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Neutrophil subsets in PCa were identified through unsupervised clustering, and their biological functions and effects on immune regulation were analyzed by functional enrichment, cell interaction, and pseudo-time series analyses. Lasso-Cox regression was utilized to construct a prognostic risk model based on the immunosuppressive neutrophil subsets, and survival analysis and ROC curve analysis were used to compare the prognosis of PCa patients with high and low risks stratified using this model. The relationship of the prognostic risk model with PCa immune infiltration and immune response was evaluated using CIBERSORT and TIDE scores. RESULTS: PCa tissues showed a significantly greater proportion of infiltrating neutrophils than the adjacent normal tissues (P<0.05). PCa-associated neutrophils could be clustered into two independent cell subsets: Neu_1 and Neu_2. Neu_2 cells exhibited highly enriched immunoregulatory functions and were highly differentiated and mature, with upregulated immunosuppressive cytokines such as TGFB1, ITGB2, and LGALS3. Based on the genetic characteristics of Neu_2 cell subsets, the prognostic risk model was constructed. The patients in the high-risk group identified by the model had a shorter biochemical recurrence time (P<0.05) and a higher proportion of Tregs and M2-TAMs cell infiltration (P<0.05) with a higher risk of immune rejection and poorer immune response scores. CONCLUSIONS PCa-associated neutrophils are highly heterogeneous. The prognostic risk model constructed based on the immunosuppressive neutrophil Neu_2 subset can effectively predict both the survival outcomes and immune response of PCa patients.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Prognosis ; Neutrophils/immunology* ; Immunotherapy

Xiaoaiping (XAP) Injection demonstrates the anti-prostate cancer (PCa) effects, yet the underlying mechanism remains unclear. This study aims to investigate the impact of XAP on PCa and elucidate its mechanism of action. PCa cell proliferation was evaluated using a cell counting kit-8 (CCK-8) assay. Cell apoptosis was assessed through Hoechst staining and Western blotting assays. Proteomics technology was employed to identify key molecules and significant signaling pathways modulated by XAP in PCa cells. To further validate potential key genes and important pathways, a series of assays were conducted, including acridine orange (AO) staining, transmission electron microscopy, and immunofluorescence assays. The molecular mechanism of XAP against PCa in vivo was examined using a PC3 xenograft mouse model. Results demonstrated that XAP significantly inhibited cell proliferation in multiple PCa cell lines. In C4-2 and prostate cancer cell line-3 (PC3) cells, XAP induced cellular apoptosis, evidenced by reduced B-cell lymphoma 2 (Bcl-2) levels and elevated Bcl-2-associated X (Bax) levels. Proteomic, immunofluorescence, and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) investigations revealed a strong correlation between forkhead box O3a (FoxO3a) autophagic degradation and the anti-PCa action of XAP. XAP hindered autophagy by reducing the expression levels of autophagy-related protein 5 (Atg5)/autophagy-related protein 12 (Atg12) and enhancing FoxO3a expression and nuclear translocation. Furthermore, XAP exhibited potent anti-PCa action in PC3 xenograft mice and triggered FoxO3a nuclear translocation in tumor tissue. These findings suggest that XAP induces PCa apoptosis via inhibition of FoxO3a autophagic degradation, potentially offering a novel perspective on XAP injection as an effective anticancer therapy for PCa.
Male ; Humans ; Prostatic Neoplasms/physiopathology* ; Autophagy/drug effects* ; Animals ; Drugs, Chinese Herbal/pharmacology* ; Proteomics ; Mice ; Apoptosis/drug effects* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Forkhead Box Protein O3/genetics* ; Xenograft Model Antitumor Assays ; Mice, Nude ; Mice, Inbred BALB C

OBJECTIVES

To determine the incidence of prostate cancer on follow up after an initial negative MRI- fusion biopsy of the prostate, and to determine the change in PSA and MRI results on follow-up.

MRI-fusion prostate biopsy registry from 2018 to 2022 was obtained then histopathology, MRI results, and PSA results were obtained. Repeat PSA and MRI results at extracted at 3 years. PSA mean, range, and change were then determined. MRI results were extracted to determine progression, regression, or persistence.

A total of 670 prostate biopsies were done in the study period, of which 70 were included. PSA on biopsy 9.93 (3.35 – 55.0) with corresponding PIRADS lesions 3, 4, and 5 (n=55, n=19, and n=6). No patient was subsequently diagnosed with prostate cancer on follow-up. PSA mean 7.03, 6.44, 5.27, and 6.07 at 3years interval from biopsy. Repeat prostate MRI showed persistence in 1 and regression in 6 patients.

After a negative MRI-fusion biopsy of the prostate no patient developed prostate cancer with a general decrease in trend in PSA and MRI on follow-up. These patients may have longer interval follow-up periods given the clinical scenario but would be best to test this method in prospective trials first.

Prostate cancer represents a prevalent malignancy within the male genitourinary system. In recent years, its incidence in China has gradually increased, becoming a significant public health issue. While early detection correlates strongly with improved prognosis, the majority of newly diagnosed prostate cancer patients in China are already in intermediate or advanced stages, precluding curative-intent interventions and contributing to marked survival disparities. The progression of prostate cancer is lengthy, typically encompassing diagnosis, treatment, progression, metastasis, and death, accompanied by a decline in quality of life. Personalized treatment plans should be developed based on the disease stage and patient preferences. In non-metastatic prostate cancer, where the tumor is confined to the prostate, surgery and radiotherapy are the primary treatments, supplemented by neoadjuvant and adjuvant therapies to delay metastasis. For metastatic prostate cancer, systemic therapy is prioritized to prolong survival. In metastatic hormone-sensitive prostate cancer, controlling androgen levels is crucial, while treatment options for metastatic castration resistant prostate cancer are relatively limited, necessitating individualized and precise treatment. During prostate cancer management, prostate-specific antigen levels are closely linked to prognosis and require monitoring. Bone metastasis, the most common site in prostate cancer patients, often triggers skeletal-related events, demanding effective prevention and management. Treatment-related adverse reactions are also a clinical challenge, requiring balanced risk-benefit assessments and judicious drug selection to preserve quality of life. Rapid advancements in screening technologies, surgical innovations, drug development, and China-specific epidemiological factors further complicate decision-making in holistic prostate cancer management. To optimize the standardization of prostate cancer diagnosis and treatment in China, the Genitourinary Oncology Committee of Chinese Anti-cancer Association synthesized global guidelines, clinical evidence and clinical expertise, and addressed critical challenges in the whole-course management of prostate cancer to formulate a multidisciplinary consensus. The expert consensus on whole-course management of prostate cancer (2025 edition) establishes standardized protocols to guide clinical practice, improve treatment outcomes, and enhance patient quality of life.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Consensus ; Prostate-Specific Antigen/blood* ; Quality of Life ; Prostatic Neoplasms, Castration-Resistant/pathology* ; China ; Bone Neoplasms/secondary* ; Androgen Antagonists/therapeutic use*

BACKGROUND: At present, biopsy is essential for the diagnosis of prostate cancer (PCa) before radical prostatectomy (RP). However, with the development of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and multiparametric magnetic resonance imaging (mpMRI), it might be feasible to avoid biopsy before RP. Herein, we aimed to explore the feasibility of avoiding biopsy before RP in patients highly suspected of having PCa after assessment of PSMA PET/CT and mpMRI. METHODS: Between December 2017 and April 2022, 56 patients with maximum standardized uptake value (SUVmax) of ≥4 and Prostate Imaging Reporting and Data System (PI-RADS) ≥4 lesions who received RP without preoperative biopsy were enrolled from two tertiary hospitals. The consistency between clinical and pathological diagnoses was evaluated. Preoperative characteristics were compared among patients with different pathological types, T stages, International Society of Urological Pathology (ISUP) grades, and European Association of Urology (EAU) risk groups. RESULTS: Fifty-five (98%) patients were confirmed with PCa by pathology, including 49 (89%) with clinically significant prostate cancer (csPCa, defined as ISUP grade ≥2 malignancy). One patient was diagnosed with high-grade prostatic intraepithelial neoplasia (HGPIN). CsPCa patients, compared with clinically insignificant prostate cancer (cisPCa) and HGPIN patients, were associated with a higher level of prostate-specific antigen (22.9 ng/mL vs . 10.0 ng/mL, P = 0.032), a lower median prostate volume (32.2 mL vs . 65.0 mL, P = 0.001), and a higher median SUVmax (13.3 vs . 5.6, P <0.001). CONCLUSIONS It might be feasible to avoid biopsy before RP for patients with a high probability of PCa based on PSMA PET/CT and mpMRI. However, the diagnostic efficacy of csPCa with PI-RADS ≥4 and SUVmax of ≥4 is inadequate for performing a procedure such as RP. Further prospective multicenter studies with larger sample sizes are necessary to confirm our perspectives and establish predictive models with PSMA PET/CT and mpMRI.
Humans ; Male ; Prostatectomy/methods* ; Prostatic Neoplasms/diagnosis* ; Middle Aged ; Aged ; Positron Emission Tomography Computed Tomography/methods* ; Biopsy ; Multiparametric Magnetic Resonance Imaging ; Prostate-Specific Antigen/metabolism*

BACKGROUND: Enzalutamide, a second-generation androgen receptor (AR) pathway inhibitor, is widely used in the treatment of castration-resistant prostate cancer. However, after a period of enzalutamide treatment, patients inevitably develop drug resistance. In this study, we characterized leucine-rich repeated G-protein-coupled receptor 5 (LGR5) and explored its potential therapeutic value in prostate cancer. METHODS: A total of 142 pairs of tumor and adjacent formalin-fixed paraf-fin-embedded tissue samples from patients with prostate cancer were collected from the Pathology Department at Sun Yat-sen Memorial Hos-pital. LGR5 was screened by sequencing data of enzalutamide-resistant cell lines combined with sequencing data of lesions with different Gleason scores from the same patients. The biological function of LGR5 and its effect on enzalutamide resistance were investigated in vitro and in vivo . Glutathione-S-transferase (GST) pull-down, coimmunoprecipitation, Western blotting, and immunofluorescence assays were used to explore the specific binding mechanism of LGR5 and related pathway changes. RESULTS: LGR5 was significantly upregulated in prostate cancer and negatively correlated with poor patient prognosis. Overexpression of LGR5 promoted the malignant progression of prostate cancer and reduced sensitivity to enzalutamide in vitro and in vivo . LGR5 promoted the phosphorylation of glycogen synthase kinase-3β (GSK-3β) by binding heat shock protein 90,000 alpha B1 (HSP90AB1) and mediated the activation of the Wingless/integrated (WNT)/β-catenin signaling pathway. The increased β-catenin in the cytoplasm entered the nucleus and bound to the nuclear AR, promoting the transcription level of AR, which led to the enhanced tolerance of prostate cancer to enzalutamide. Reducing HSP90AB1 binding to LGR5 significantly enhanced sensitivity to enzalutamide. CONCLUSIONS LGR5 directly binds to HSP90AB1 and mediates GSK-3β phosphorylation, promoting AR expression by regulating the WNT/β-catenin signaling pathway, thereby conferring resistance to enzalutamide treatment in prostate cancer.
Male ; Humans ; Phenylthiohydantoin/pharmacology* ; Benzamides ; Receptors, G-Protein-Coupled/genetics* ; Nitriles ; Cell Line, Tumor ; HSP90 Heat-Shock Proteins/metabolism* ; Drug Resistance, Neoplasm/genetics* ; Prostatic Neoplasms/drug therapy* ; beta Catenin/metabolism* ; Receptors, Androgen/genetics* ; Animals ; Mice ; Wnt Signaling Pathway/physiology*

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Prostate cancer(PCa) is a common malignant tumor among elderly men, with high incidence and mortality rates worldwide, posing a serious threat to human health. Traditional treatments face limitations, highlighting the urgent need for novel therapeutic strategies. Recent studies on the regulatory mechanisms of micro ribonucleic acid(microRNA, miRNA) in tumor development has identified miRNA as new targets for PCa diagnosis and treatment. Traditional Chinese medicine(TCM), with its multi-mechanism, multi-target, and multi-pathway regulatory properties, shows promising potential in miRNA-based PCa therapy. This review summarized recent findings on miRNA' roles in PCa and research progress of TCM intervention and found that a variety of miRNA played important regulatory roles in cell differentiation, proliferation, apoptosis, invasion, metastasis, immune microenvironment, and drug resistance, and their potential as biomarkers for PCa diagnosis, prognosis, and therapy, indicating the potential to be a biomarker for the diagnosis, prognosis evaluation, and treatment of PCa. The review concluded that the active components of TCM(terpenoids, flavonoids, alkaloids, and others) and compounds(Yishen Tonglong Decoction, Shenhu Decoction, Zhoushi Qiling Decoction, Fuzheng Yiliu Decoction, and Qilan Formula) could regulate the expression of their downstream target genes by acting on specific miRNA and affect the above biological behaviors of PCa cells, thus playing a role in the treatment of PCa. This review aims to provide a theoretical basis for miRNA as potential biomarkers and therapeutic targets for PCa and suggest new avenues for further development of targeted therapy strategies against miRNA.
Humans ; MicroRNAs/metabolism* ; Prostatic Neoplasms/metabolism* ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Animals ; Gene Expression Regulation, Neoplastic/drug effects*