The heterogeneity of the immune microenvironment leads to different responses in immune checkpoint blockade therapy. We aimed to propose a robust molecular classification system to investigate the relevance of the immune microenvironment subtype and prognosis of prostate cancer patients, as well as the therapeutic response to immune checkpoint blockade therapy. A total of 1,557 prostate cancer patients were enrolled, including 69 real‐world samples from our institute (titled the AHMU‐PC cohort). The non‐negative matrix factorization algorithm was employed to virtually microdissect patients. The immune enrichment was characterized by a high enrichment of T cell‐, B cell‐, NK cell‐, and macrophage‐associated signatures, by which patients were subclassified into nonimmune and immune classes. Subsequently, the immune class was dichotomized into immune‐activated and immune‐suppressed subtypes based on the stromal signature, represented by the activation of WNT/TGF‐β, TGF‐β1, and C‐ECM signatures. Approximately 14.9% to 24.3% of patients belonged to the immune‐activated subtype, which was associated with favorable recurrence‐free survival outcomes. In addition, patients in the immune‐activated subtype were predicted to benefit more from anti‐PD‐1/PD‐L1 therapy. In conclusion, our study identifies a novel immune molecular classifier that is closely related to clinical prognosis and provides novel insights into immunotherapeutic strategies for prostate cancer patients.
Background To help with the clinical practice of renal cancer patients, prognostic models are urgently warranted. We hunted and identified prognostic variables associated with recurrence-free survival (RFS) for renal cancer patients. Patients and Methods In this retrospective study, 187 renal cancer patients who had received curative radical/partial nephrectomy between November 2011 and January 2017 were enrolled in the current study. These patients were randomly split into the training (n = 95) and validation sets (n = 92) by the ratio of 1:1. Univariate and multivariable Cox regression analyses were used to establish the nomogram, which was then evaluated by receiver operating characteristic (ROC) and Kaplan-Meier (K-M) analyses. Results Patient characteristics and outcomes were well balanced between the training and validation sets; the median RFS values were 54.1 months and 58.9 months for the training and validation cohorts, respectively. The final nomogram included six independent prognostic variables (prothrombin time (%), prothrombin time (second), albumin/globulin ratio, platelets, sex and fibrinogen). The mean values of RFS for the low- and high-risk groups defined by a prognostic formula were 56.22 ± 18.50 months and 49.54 ± 23.57 months, respectively, in the training cohort and were 59.00 ± 19.50 months and 53.32 ± 19.95 months, respectively, in the validation cohort. The significance and stability of the model were tested by the time-dependent K-M model and ROC curves, respectively. Conclusion Our validated prognostic model incorporates variables routinely collected from renal cancer patients, identifying subsets of patients with different survival outcomes, which provides useful information for patient care and clinical trial design.
Highlights 52 ◼ Immunotherapy could trigger a durable response in advanced prostate cancer, 53 but it only benefits a minority of patients; 54 ◼ Immune response drives recurrence-free survival outcomes in prostate cancer; 55 ◼ The robust molecular classification system helps identify more ideal patients 56 for delivering anti-PD-1/PD-L1 immunotherapy. 57 102 factors, three immunophenotypes were established with bulk tumor gene 103 expression profiles from public cohorts and a real-world AHMU-PC cohort. Our 104 results suggested that immune response drove outcomes in prostate cancer and 105 provided inspirations of immunotherapy for prostate cancer patients.
The present work aims to evaluate the clinical efficacy and safety of low‐intensity extracorporeal shock wave therapy (Li‐ESWT) on patients with prostatitis‐like symptoms (PLS). Patients with PLS were recruited and received four‐week Li‐ESWT (once per week), which was conducted at a frequency of 3 Hz with a preferred energy flow density of 0.25 mJ/mm2. The scores of the National Institute of Health Chronic Prostatitis Symptoms Index (NIH‐CPSI), International Prostate Symptom Score (IPSS), International Index of Erectile Function (IIEF‐5), and Visual Analogue Scale (VAS) were recorded to assess the remission of disease in the 0, 1st, 2nd, 3rd, 4th, 5th, 8th and 16th weeks. A decrease of the NIH‐CPSI score ≥6 was regarded as the effectiveness standard of Li‐ESWT. Among 91 enrolled patients, the scores of all validated questionnaires presented significant improvements in the 4th week (p < .05) compared with that in baseline, except for IIEF‐5. The treatment effective rates in the 1st, 2nd, 3rd, 4th, 5th, 8th and 16th weeks were 28.57%, 38.46%, 47.25%, 51.65%, 57.30%, 68.18% and 69.44%, respectively. No pronounced undesirable side effect has occurred. Li‐ESWT is effective and safe in treating PLS. The efficacy can be maintained within three months.
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