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To evaluate the effect of peri-prostatic adipose tissue (PPAT) measurements using preoperative MRI on the prediction of prostate cancer (PCa) aggressiveness in men undergoing radical prostatectomy (RP). We performed a retrospective study on 179 consecutive patients receiving RP from June 2016 to October 2018. Clinical characteristics were collected. PPAT measurements including peri-prostatic fat area (PPFA) and peri-prostatic fat area to prostate area (PA) ratio (PPFA/PA) were calculated by MRI. Multivariable logistic regression analysis was performed to identify independent predictors of PCa lymph node metastasis (LNM). The predictive performance was estimated through ROC curves. Nomograms were created based on the predictors. Pathologic Gleason score positively correlated with digital rectal examination (DRE), PSA, PPFA/PA, P504S, and Ki-67 (all P

Ferroptosis, an iron-dependent form of selective cell death, is involved in the development of many cancers. However, ferroptosis related genes (FRGs) in prostate cancer (PCa) are not been well studied. In this study, we collected the mRNA expression profiles and clinical information of PCa patients from TCGA and MSKCC databases. The univariate, LASSO, and multivariate Cox regression analyses were performed to construct a prognostic signature. Seven FRGs, AKR1C3, ALOXE3, ATP5MC3, CARS1, MT1G, PTGS2, and TFRC, were included to establish a risk model, which was validated in the MSKCC dataset. The results showed that the high-risk group was apparently correlated with copy number alteration load, tumor burden mutation, immune cell infiltration, mRNAsi, immunotherapy, and bicalutamide response. Moreover, we found that TFRC overexpression induced the proliferation and invasion of PCa cell lines in vitro. These results demonstrate that this risk model can accurately predict prognosis, suggesting that FRGs are promising prognostic biomarkers and potential drug targets in PCa patients.

Background Bladder cancer is the leading causes of cancer-associated mortality and seriously affects population health. Hypoxia plays a key role in tumor development and immune escape, which contributes to malignant behaviors. Methods In this study, we analyzed the RNA-seq and clinical information of bladder cancer patients from The Cancer Genome Atlas (TCGA) database. To investigate the hypoxia-related prognostic and immune microenvironment in bladder cancer, we constructed a hypoxia-related risk model for overall survival (OS). The RNA-seq and clinical data of bladder cancer patients from the Gene Expression Omnibus (GEO) database were used as validation sets. Results The hypoxia-related risk signature was significantly correlated with clinical outcomes and could independently predict OS outcomes. Furthermore, the hypoxia-related risk signature could effectively reflected the levels of immune cell type fractions and the expression of critical immune checkpoint genes were higher in the high-risk group compared to the low-risk group. We also validated the expression levels of the prognostic genes in bladder cancer and paracancerous tissue samples through qRT-PCR analysis. Conclusion We established a 7 hypoxia-related gene (HRG) signature that can be used as an independent clinical predictor and provided a potential mechanism in bladder cancer immunotherapy.

Objective Aimed to evaluate the therapeutic effect of pelvic lymph node dissection (PLND) on survival and determine the predictors of lymph node involvement (LNI) in patients with intermediate- or high-risk prostate cancer (PCa) treated with Radical Prostatectomy (RP).Methods 75,583 patients undergoing RP with or without PLND between 2010 and 2016 were extracted from the Surveillance Epidemiology and End Results database. We performed 1:1 propensity score matching due to potential differences according to the 2 cohorts. Cox regression models (CRMs) were used to test the effect of PLND on overall mortality (OM) and cancer-specific mortality (CSM). Logistic regression analysis was used to investigate the predictors of LNI.Results The propensity-score-matched cohort includes 52,314 patients with or without PLND. Kaplan Meier analysis confirmed that patients receiving PLND had a poorer prognosis than those without PLND (P0.05). According to multivariable CRMs, patients with locally advanced PCa in whom PLND was performed had higher OM (HR 1.67, CI 1.36-2.06) and CSM (HR 2.26, CI 1.16-3.12) risks compared to patients without PLND (p < 0.001). Compared to patients with intermediate-risk PCa, there was a higher risk of LNI in patients with locally advanced PCa (OR 16.82, 95% CI 5.05-56.06, PConclusions In the intermediate- or high-risk localised PCa, there was no significant difference in survival outcome in patients with or without PLND. Locally advanced PCa was significantly associated with LNI but can’t benefit from PLND.

Objective We aimed to evaluate the role of tumor size in predicting tumor risk for localized prostate cancer (PCa) patients undergoing radical prostatectomy (RP). Methods Twenty‐five thousand, one hundred twenty‐seven men with PCa receiving RP from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results database. Kaplan–Meier plots and multivariable Cox regression analyses were used to illustrate overall survival (OS) according to the tumor size. The tumor size was confirmed by postoperative pathology after RP. Results Among overall localized PCa, 84.6% were high‐risk PCa, 9.2% were intermediate‐risk PCa, and 6.2% were low‐risk PCa. Multivariate analyses demonstrated that tumor size ≥21 mm was an independent risk predict factor of low‐risk PCa (odds ratio [OR]: 11.940; 95% CI, 9.404–15.161; p, We quantified the relationship between tumor size and localized prostate cancer grade, and hoped to play a positive role in early diagnosis and treatment of clinical work.

Ferroptosis, an iron-dependent form of selective cell death, involves in the development of many cancers. However, systematic analysis of ferroptosis related genes (FRGs) in prostate cancer (PCa) remains to be clarified. In our research, we collected the mRNA expression profiles and clinical information of PCa patients from TCGA and MSKCC databases. The univariate, LASSO and multivariate Cox regression method were performed to construct prognostic signature in TCGA cohort. Seven FRGs, AKR1C3, ALOXE3, ATP5MC3, CARS1, MT1G, PTGS2, TFRC, were included to establish the risk model, which was validated in MSKCC dataset. Subsequently, we found that high risk group was strongly correlated with copy number alteration load, tumor burden mutation, immune cell infiltration, mRNAsi, immuetherapy and bicalutamide response. Finally, it was identified that overexpression of TFRC could induce proliferation and invasion in PCa cell lines in vitro. These results demonstrated that this risk model based on recurrence free survival (RFS) could accurately predict prognosis in PCa patients, suggesting that FRGs are promising prognostic biomarkers and drug target genes for PCa patients.

Background: We aimed to evaluate the impact of nephron sparing surgery (NSS) on survival in upper urinary tract urothelial carcinoma (UTUC) patients stratified by tumor grade and stage compared to radical nephroureterectomy (RNU) or no surgery. Methods: Overall, 10319 UTUC patients between 2004 and 2015 were extracted from the SEER database. Patients were divided into no surgery group, NSS group and RNU group. Kaplan-Meier plots illustrated survival rates according to surgical method. Multivariable Cox regression analyses assessed the effect of different surgical methods on survival rates. Result: Among the 10319 UTUC patients. Kaplan-Meier plots showed that NSS was associated with a higher overall survival (OS) and cancer-specific survival (CSS) in grade Ⅲ and Ⅳ and AJCC stage Ⅳ patients (all p 0.05). Moreover, NSS predisposed to a higher OS only in AJCC stage Ⅳ ( p Conclusion: The beneficial effect of NSS was evident in grade Ⅲ or AJCC stage Ⅳ. NSS can be considered in grade Ⅲ or stage Ⅳ, for other grades or stages remains to be seen, both of which will be verified by further prospective research.

Background Aggressive angiomyxoma (AA) is a rare tumor that typically occurs in the pelvis and perineum, most commonly in women of reproductive age. However, no para-ureteral AA has been reported according to the literature. Case presentation We herein describe the first case of para-ureteral AA. A 62-year-old male presented to our institute in March 2017 with a para-ureteral mass that was 15 mm in diameter incidentally. No symptom was observed and laboratory analysis was unremarkable. Magnetic resonance and computed tomography imaging showed a non-enhancing mass abutting the left ureter without causing obstruction. Laparoscopic resection of the mass was performed without injury to the ureter. Pathologic and immunohistochemical results were consistent with AA. Till now, no recurrence was noticed. Conclusions We reported a rare case of para-ureteral AA, along with a literature review. Early diagnosis, proper surgical plan and long-term close follow-up is recommended for its high risk of recurrence and malignant potential.

Background We aimed to estimate the stage-specific impact of lymph node dissection (LND) on survival for upper urinary tract urothelial carcinoma (UTUC) patients treated with nephroureterectomy (NU). Methods Overall, 7278 UTUC patients undergoing NU within the SEER database from 2004 to 2015 were identified. Kaplan-Meier plots illustrated overall survival (OS) and cancer-specific survival (CSS) rates according to LND status. Multivariable Cox regression analyses assessed the effect of LND on OS and CSS rates stratified by pathological tumor stage. Results LND was performed in 26.9% of patients, and in 18.6, 23.3, 31.2 and 45.9% for pT1, pT2, pT3 and pT4 patients, respectively (P P P > 0.05). LND with 1 to 3 regional lymph nodes removed was prone to a higher OS or CSS only in pT4 compared to no LND (both P P Conclusions The beneficial effect of LND especially LND with 4 or more regional lymph nodes removed on survival was evident in pT3/4 patients. LND can be considered for pT3 and pT4, for pT1/2 remains to be seen, both of which will be verified by further prospective studies.

Objective To assess the impact of visceral obesity quantified by preoperative computed tomography on short-term postoperative outcomes compared with body mass index (BMI) in stage I-III colon adenocarcinoma patients. Methods In this retrospective study, 107 patients treated with radical colectomy for stage I-III colon adenocarcinoma were classified as obese or non-obese by computed tomography-based measures or BMI (obese: BMI ≥28 kg/m2 , visceral fat area (VFA) to subcutaneous fat area ratio (V/S) ≥0.4, and VFA ≥100 cm2 ). Clinical variables, operation time, estimated blood loss, pathologic stage, histologic grade, postoperative complications, postoperative stay and hospitalization expenses were compared. Results Obese patients by VFA were more likely to have higher postoperative complication rate (32.9 versus 11.8%, P = 0.021), have longer operation time (184.6 ± 49.5 versus 163.1 ± 44.1 min, P = 0.033), postoperative stay (15.21 ± 7.59 versus 12.29 ± 5.40 days, P = 0.047) and cost more ($10 758.7 ± 3271.7 versus $9232.0 ± 2994.6, P = 0.023) than non-obese. Conclusion Visceral obesity graded by VFA is associated with increased postoperative morbidity, operation time, postoperative stay and hospitalization expenses for colon adenocarcinoma patients and may be superior to BMI or V/S for the prediction of colon surgery.

To estimate the impact of peri-prostatic fat (PPF) measurements using preoperative magnetic resonance imaging on the prediction of prostate cancer (PCa) with transrectal ultrasound-guided biopsy.We performed a retrospective 2-center study on 660 consecutive patients receiving transrectal ultrasound-guided biopsy-biopsy from June 2016 to October 2018. Pathologic and immunohistochemical characteristics were collected. PPF measurements including PPF area (PPFA) and PPFA to prostate area (PA) ratio (PPFA/PA) were assessed by preoperative staging magnetic resonance imaging. Clinical variables were correlated with Gleason score by using Spearman (ρ) correlation coefficients. Multivariable analysis was performed to identify independent predictors of PCa. The diagnostic performance was estimated using ROC curves.The Gleason score was significantly correlated with age (ρ = 0.114, P = 0.035), prostate-specific antigen (PSA) (ρ = 0.482, P0.001), PIRADS scoring (ρ = 0.403, P0.001) and PPFA/PA (ρ = 0.238, P0.001). Multivariate analysis revealed that PPFA/PA, age, digital rectal examination, family history of PCa, PSA, and PIRADS scoring were independently predictive of PCa. The ROC AUC to detect PCa or clinically significant PCa (CS-PCa; Gleason Score 3 + 4 or greater) improved with the addition of PPFA/PA (PCa: 0.93 vs. 0.89; CS-PCa: 0.92 vs. 0.90).PPFA/PA is an independent predictor for PCa along with age, digital rectal examination, family history of PCa, PSA, and PIRADS scoring. PPF measurements especially PPFA/PA may help detect PCa or CS-PCa, thus helping improve PCa risk stratification and screening to avoid unnecessary biopsies.