scholarly journals Establishment And Validation Of Coagulation Factor-based Nomogram For Predicting The Recurrence-free Survival Of Prostate Cancer

2021 ◽  
Author(s):  
Jialin Meng ◽  
Zichen Bian ◽  
Chenyu Zhu ◽  
Zhi Tao ◽  
Xiaoyan Jin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Coagulation Factor ◽  
Calibration Plot ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Coagulation Pathway

Abstract Background: We aimed to establish and validate a coagulation-feature-based nomogram to predict recurrence-free survival for prostate cancer patients.Methods: The study contained 168 prostate cancer patients who had received radical prostatectomy between 2012 and 2018. The Kaplan-Meier plot and log-rank analysis were used to screen recurrence-free survival-related features. The nomogram was established by combining the significant coagulation features with clinicopathological characteristics by using Cox regression analysis. The accuracy and clinical significance of the nomogram model were assessed by receiver operating characteristic (ROC) curve, Kaplan-Meier plot, and calibration plot. Besides, we explored the correlation between coagulation pathway activity and patients’ prognosis based on public datasets by using gene set variation analysis (GSVA) analysis.Results: The results suggested that patients in the high-risk subgroup showed unfavorable prognoses than those in the low-risk subgroup classified by the nomogram model in both the training (log-rank P < 0.0001) and validation (log-rank P = 0.0004) cohorts. The nomogram model exhibited high discriminative accuracy in the training cohort [1-year area under the curve (AUC) of 0.74, and 3-year AUC of 0.69], which was confirmed in the internal validation cohort (C-index = 0.651). Besides, the calibration plots confirmed good concordance for the prediction of recurrence-free survival at 1 and 3 years. Besides, the subgroup analyses confirmed the usage of this model in different clinicopathological subgroups. Finally, GSVA analyses suggested that patients with higher coagulation pathway scores mostly had unfavorable prognoses than those with lower scores, a result consistent with the findings obtained above.Conclusions: In conclusion, we develop a practical nomogram model for the recurrence-free survival predicting of prostate cancer patients. This model may offer clinicians prognostic assessments and facilitate personalized treatment.

scholarly journals Novel Gene Signatures Predictive of Patient Recurrence-Free Survival and Castration Resistance in Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 917
Author(s):  
Jun A ◽  
Baotong Zhang ◽  
Zhiqian Zhang ◽  
Hailiang Hu ◽  
Jin-Tang Dong
Keyword(s):  
Prostate Cancer ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Treatment Decision ◽  
Rank Aggregation ◽  
Lymph Node Status ◽  
Calibration Plot ◽  
Recurrence Free Survival ◽  
Castration Resistance ◽  
Free Survival

Molecular signatures predictive of recurrence-free survival (RFS) and castration resistance are critical for treatment decision-making in prostate cancer (PCa), but the robustness of current signatures is limited. Here, we applied the Robust Rank Aggregation (RRA) method to PCa transcriptome profiles and identified 287 genes differentially expressed between localized castration-resistant PCa (CRPC) and hormone-sensitive PCa (HSPC). Least absolute shrinkage and selection operator (LASSO) and stepwise Cox regression analyses of the 287 genes developed a 6-gene signature predictive of RFS in PCa. This signature included NPEPL1, VWF, LMO7, ALDH2, NUAK1, and TPT1, and was named CRPC-derived prognosis signature (CRPCPS). Interestingly, three of these 6 genes constituted another signature capable of distinguishing CRPC from HSPC. The CRPCPS predicted RFS in 5/9 cohorts in the multivariate analysis and remained valid in patients stratified by tumor stage, Gleason score, and lymph node status. The signature also predicted overall survival and metastasis-free survival. The signature’s robustness was demonstrated by the C-index (0.55–0.74) and the calibration plot in all nine cohorts and the 3-, 5-, and 8-year area under the receiver operating characteristic curve (0.67–0.77) in three cohorts. The nomogram analyses demonstrated CRPCPS’ clinical applicability. The CRPCPS thus appears useful for RFS prediction in PCa.

Expression and Clinical Significance of Serum Exosomal miR-375 in Patients with Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 3896-3904
Author(s):  
Daoting Deng ◽  
Hong Zhang ◽  
Junxi Liu ◽  
Lina Ma ◽  
Xinrui Lei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Cox Regression Analysis ◽  
Healthy Group ◽  
Cancer Group ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Gastric Cancer Group

To explore exosomal miR-375 expression in gastric cancer patients and its relationship with patient prognosis. A total of 53 patients diagnosed with gastric cancer in our hospital from May 2014 to May 2016 were included as the gastric cancer group, and 46 healthy women who came to our hospital for physical examination during the same period were enrolled as the healthy group. Exosomal miR-375 expression level was detected using qRT-PCR, and the diagnostic performance and prognostic significance of exosomal miR-375 in gastric cancer were explored. The gastric cancer group showed increased exosomal miR-375 expression than the healthy group (P< 0.05); Kaplan-Meier survival analysis exhibited that serum exosomal miR-375 has an AUC of 0.778, sensitivity of 69.57%, and specificity of 75.47%, whereas Cox regression analysis showed that the miR-375 expression in exosomes was an independent risk factor affecting the prognosis of gastric cancer patients (P< 0.05). Patient with gastric cancer showed upregulated miR-375 expression in serum exosomes. Serum exosomal miR-375 was found to has positive sensitivity and specificity in the diagnosis of gastric cancer, which may be associated with poor prognosis of gastric cancer patients.

Down-regulation of miR-219-5p increase the risk of cancer-related mortality in patients with prostate cancer

2021 ◽  
pp. postgradmedj-2021-139981
Author(s):  
Shimin Tang ◽  
Hao Jiang ◽  
Zhijun Cao ◽  
Qiang Zhou
Keyword(s):  
Prostate Cancer ◽  
Prediction Model ◽  
Cancer Patients ◽  
Cox Regression ◽  
Cox Model ◽  
Risk Of Death ◽  
Kaplan Meier ◽  
Risk Of Progression ◽  
Patient Prognosis ◽  
Risk Of Cancer

IntroductionProstate cancer is a common malignancy in men that is difficult to treat and carries a high risk of death. miR-219-5p is expressed in reduced amounts in many malignancies. However, the prognostic value of miR-219-5p for patients with prostate cancer remains unclear.MethodsWe retrospectively analysed data from 213 prostate cancer patients from 10 June 2012 to 9 May 2015. Overall survival was assessed by Kaplan-Meier analysis and Cox regression models. Besides, a prediction model was constructed, and calibration curves evaluated the model’s accuracy.ResultsOf the 213 patients, a total of 72 (33.8%) died and the median survival time was 60.0 months. We found by multifactorial analysis that miR-219-5p deficiency increased the risk of death by nearly fourfold (HR: 3.86, 95% CI): 2.01 to 7.44, p<0.001) and the risk of progression by twofold (HR: 2.79, 95% CI: 1.68 to 4.64, p<0.001). To quantify each covariate’s weight on prognosis, we screened variables by cox model to construct a predictive model. The Nomogram showed excellent accuracy in estimating death’s risk, with a corrected C-index of 0.778.ConclusionsmiR-219-5p can be used as a biomarker to predict death risk in prostate cancer patients. The mortality risk prediction model constructed based on miR-219-5p has good consistency and validity in assessing patient prognosis.

scholarly journals The impact of method of distal ureter management during radical nephroureterectomy on tumour recurrence

2014 ◽  
Vol 8 (11-12) ◽  
pp. 845 ◽  
Author(s):  
Anil Kapoor ◽  
Shawn Dason ◽  
Christopher B. Allard ◽  
Bobby Shayegan ◽  
Louis Lacombe ◽  
...  
Keyword(s):  
Cox Regression ◽  
Tumour Recurrence ◽  
Management Approach ◽  
Management Technique ◽  
Recurrence Free Survival ◽  
Radical Nephroureterectomy ◽  
Distal Ureter ◽  
Free Survival ◽  
Cox Regression Analysis

Introduction: Radical nephroureterectomy for upper tract urothelial carcinoma (UTUC) must include some form of distal ureter management to avoid high rates of tumour recurrence. It is uncertain which distal ureter management technique has the best oncologic outcomes. To determine which distal ureter management technique resulted in the lowest tumour recurrence rate, we analyzed a multiinstitutional Canadian radical nephroureterectomy database.Methods: We retrospectively analyzed patients who underwent radical nephroureterectomy with distal ureter management for UTUC between January 1990 and June 2010 at 10 Canadian tertiary hospitals. Distal ureter management approaches were divided into 3 categories: (1) extravesical tenting for ureteric excision without cystotomy (EXTRAVESICAL); (2) open cystotomy with intravesical bladder cuff excision (INTRAVESICAL); and (3) extravesical excision with endoscopic management of ureteric orifice (ENDOSCOPIC). Data available for each patient included demographic details, distal ureter management approach, pathology and operative details, as well as the presence and location of local or distant recurrence. Clinical outcomes included overall recurrence-free survival and intravesical recurrence-free survival. Survival analysis was performed with the Kaplan-Meier method. Multivariable Cox regression analysis was also performed.Results: A total of 820 patients underwent radical nephroureterectomy with a specified distal ureter management approach at 10 Canadian academic institutions. The mean patient age was 69.6 years and the median follow-up was 24.6 months. Of the 820 patients, 406 (49.5%) underwent INTRAVESICAL, 316 (38.5%) underwent EXTRAVESICAL, and 98 (11.9%) underwent ENDOSOPIC distal ureter management. Groups differed significantly in their proportion of females, proportion of laparoscopic cases, presence of carcinoma in situ and pathological tumour stage (p < 0.05). Recurrence-free survival at 5 years was 46.3%, 35.6%, and 30.1% for INTRAVESICAL, EXTRAVESICAL and ENDOSCOPIC, respectively (p < 0.05). Multivariable Cox regression analysis confirmed that INTRAVESICAL resulted in a lower hazard of recurrence compared to EXTRAVESICAL and ENDOSCOPIC. When looking only at intravesical recurrence-free survival (iRFS), a similar trend held up with INTRAVESICAL having the highest iRFS, followed by ENDOSCOPIC and then EXTRAVESICAL management (p < 0.05). At last follow-up, 406 (49.5%) patients were alive and free of disease.Conclusion: Open intravesical excision of the distal ureter (INTRAVESICAL) during radical nephroureterectomy was associated with improved overall and intravesical recurrence-free survival compared with extravesical and endoscopic approaches. These findings suggest that INTRAVESICAL should be considered the gold standard oncologic approach to distal ureter management during radical nephroureterectomy. Limitations of this study include its retrospective design, heterogeneous cohort, and limited follow-up.

scholarly journals Matrix metalloproteinase 12 is an independent prognostic factor predicting postoperative relapse of conventional renal cell carcinoma - a short report

2021 ◽  
Author(s):  
Bence Beres ◽  
Maria Yusenko ◽  
Lehel Peterfi ◽  
Gyula Kovacs ◽  
Daniel Banyai
Keyword(s):  
Renal Cell ◽  
Cox Regression ◽  
Tissue Array ◽  
Short Report ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Conventional Renal Cell Carcinoma ◽  
Kaplan Meier ◽  
Matrix Metalloproteinase 12

Abstract Purpose Approximately 15% of clinically localised conventional renal cell carcinomas (cRCC) develop metastases within 5 years of follow-up. Sarcomatous cRCC is a highly malignant cancer of the kidney. The aim of our study was to identify biomarkers for estimating the postoperative progression of cRCCs. Methods Global microarray-based gene expression analysis of RCCs with and without sarcomatous changes revealed that a high MMP12 expression was associated with a sarcomatous histology. Additionally, we analysed MMP12 expression using a multi-tissue array comprising 736 cRCC patients without metastasis at the time of surgery. The median follow-up time was 66 ± 29 months. Results Immunohistochemistry revealed MMP12 expression in 187 of 736 cRCCs with good follow-up data. Subsequent Kaplan–Meier analysis revealed that patients with MMP12 positive tumours exhibited a significantly shorter tumour-free survival (p < 0.001). In multivariate Cox regression analysis a weak to strong MMP12 expression indicated a 2.4–2.8 times higher risk of postoperative tumour relapse (p < 0.001; p < 0.003, respectively). Conclusions MMP12 may serve as a biomarker to estimate postoperative cRCC relapse and as a possible target for penfluridol therapy.

YB-1 variant and androgen receptor axis-targeted agents in metastatic castration-resistant prostate cancer patients

2020 ◽  
Vol 21 (13) ◽  
pp. 919-928
Author(s):  
Ana Afonso ◽  
Jani Silva ◽  
Ana Rita Lopes ◽  
Sara Coelho ◽  
Ana Sofia Patrão ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Androgen Receptor ◽  
Cancer Patients ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Castration Resistant Prostate Cancer ◽  
Allelic Discrimination ◽  
Cox Regression Analysis ◽  
Castration Resistant ◽  
Increased Risk

Aim: To evaluate the influence of YB-1 rs10493112 variant as a genetic marker for response to second-generation androgen receptor axis-target agents. Methods: A hospital-based cohort study of 78 patients with metastatic castration-resistant prostate cancer was conducted. Genotyping was performed by TaqMan® allelic discrimination technology. Main results: In abiraterone-treated and high-risk patients, YB-1 rs10493112 AA genotype carriers showed lower progression-free survival than C allele genotype patients (4 vs 17 months; p = 0.009). For carriers of AA genotype, multivariate Cox regression analysis revealed a fivefold increased risk of progression (p = 0.035). Conclusion: The study findings suggest that, for metastatic and castration-resistant prostate cancer patients, this polymorphism might be a putative marker for the clinical outcome.

Impact of testosterone replacement therapy after radiation therapy on prostate cancer outcomes.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 99-99
Author(s):  
Reith Sarkar ◽  
J Kellogg Parsons ◽  
John Paul Einck ◽  
Arno James Mundt ◽  
A. Karim Kader ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Biochemical Recurrence ◽  
Testosterone Replacement ◽  
Testosterone Replacement Therapy ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Treatment Groups

99 Background: Currently there is little data to guide the use of testosterone replacement therapy in prostate cancer patients who have received radiation therapy (RT). We sought to evaluate the impact of post-RT testosterone replacement on prostate cancer outcomes in a large national cohort. Methods: We conducted a population-based cohort study using the Veterans Affairs Informatics and Computing Infrastructure. We identified node-negative and non-metastatic prostate cancer patients diagnosed between 2001-2015 treated with RT. We excluded patients for missing covariate and follow-up data. Receipt of testosterone was coded as a time-dependent covariate. Other covariates included: age, Charlson Comorbidity index, diagnosis year, body mass index, race, PSA, clinical T/N/M stage, Gleason score, and receipt of hormone therapy. We evaluated prostate cancer-specific survival, overall survival, and biochemical recurrence free survival using multivariable Cox regression. Results: Our cohort included 41,544 patients, of whom 544 (1.3%) received testosterone replacement after RT. There were no differences in Charlson comorbidity, clinical T stage, median pre-treatment PSA or Gleason score between treatment groups. Testosterone patients were more likely to be of younger age, non-black, have a lower median post-treatment PSA nadir (0.1 vs. 0.2; p < 0.001), have higher BMI, and have used hormone therapy (46.7% vs 40.3%; p = 0.003). Median duration of ADT usage was equivalent between treatment groups (testosterone: 185 days vs. non-testosterone: 186 days, p = 0.77). The median time from RT to TRT was 3.52 years. After controlling for differences in covariates between treatment groups, we found no difference in prostate cancer specific mortality (HR 1.02; 95% CI 0.62-1.67; p = 0.95), overall survival (HR 1.02; 95% CI 0.84-1.24; p = 0.86), non-cancer mortality (HR 1.02; 95% CI 0.82-1.27; p = 0.86) biochemical recurrence free survival (HR 1.07; 95% CI 0.90-1.28; p = 0.45). Conclusions: Our results suggest that testosterone replacement is safe in prostate cancer patients who have received RT. Prospective data are required to confirm the safety of post-RT testosterone replacement.

scholarly journals Evaluation of pulse wave velocity for predicting major advanced cardiovascular events in patients with chronic myocardial infarction

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Z Meiszterics ◽  
T Simor ◽  
R J Van Der Geest ◽  
N Farkas ◽  
B Gaszner
Keyword(s):  
Myocardial Infarction ◽  
Regression Analysis ◽  
Cardiovascular Events ◽  
Pulse Wave ◽  
Cox Regression ◽  
Event Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Abstract Introduction Increased aortic pulse wave velocity (PWV) as a strong predictor of major advanced cardiovascular events (MACE) has a prognostic relevance in patients after myocardial infarction (MI). Several non-invasive methods have been proposed for the assessment of arterial stiffness, but the PWV values show significant differences according to the applied techniques. Cardiac magnetic resonance imaging (CMR) provides an accurate method to measure PWV and infarct size in patients after MI. Purpose Calculated PWV values of CMR based phase-contrast (PC) and invasively validated oscillometric methods were compared in this prospective observational study. We aimed to evaluate the cut-off PWV values for each method, while MACE predicted and validated the prognostic value of high PWV in post-infarcted patients in a 6-year follow-up. Methods 3D aortic angiography and PC velocity imaging was performed using a Siemens Avanto 1,5 T CMR device. Oscillometric based Arteriograph (AG) was used to assess PWV using direct body surface distance measurements. The comparison between the two techniques was tested. Patients received follow-up for MACE comprising all-cause death, non-fatal MI, ischemic stroke, hospitalization for heart failure and coronary revascularization. Event-free survival was analysed using Kaplan-Meier plots and log-rank tests. Univariable and multivariable Cox regression analysis was performed to identify outcome predictors. Results 75 patients (56 male, 19 female, average age: 56±13 years) referred for CMR were investigated, of whom 50 had coronary artery disease (CAD) including 35 patients with previous MI developing ischaemic late gadolinium enhancement (LGE) pattern. AG and CMR derived PWV values were significantly correlated (rho: 0,343, p&lt;0,05), however absolute PWV values were significantly higher for AG (median (IQR): 10,4 (9,2–11,9) vs. 6,44 (5,64–7,5); p&lt;0,001). Bland Altman analysis showed an acceptable agreement with a mean difference of 3,7 m/s between the two measures. In patients with CAD significantly (p&lt;0,01) higher PWV values were measured by AG and CMR, respectively. During the median follow-up of 6 years, totally 69 MACE events occurred. Optimized PWV cut-off values for MACE prediction were calculated (CMR: 6,47 m/s; AG: 9,625 m/s) by receiver operating characteristic analysis. Kaplan-Meier analysis in both methods showed a significantly lower event-free survival in case of high PWV (p&lt;0,01, respectively). Cox regression analysis revealed PWV for both methods as a predictor of MACE (PWV CMR hazard ratio (HR): 2,6 (confidence interval (CI) 1,3–5,1), PWV AG HR: 3,1 (CI: 1,3–7,1), p&lt;0,005, respectively). Conclusions Our study showed good agreement between the AG and CMR methods for PWV calculation. Both techniques are feasible for MACE prediction in postinfarcted patients. However, different AG and CMR PWV cut-off values were calculated to improve risk stratification. FUNDunding Acknowledgement Type of funding sources: None. Agreement between the two methods Kaplan-Meier event curves for MACE

scholarly journals Prediction of Biochemical Recurrence-Free Survival of Prostate Cancer Patients Leveraging Multiple Gene Expression Profiles in Tumor Microenvironment

2021 ◽  
Vol 11 ◽  
Author(s):  
Rui Zhou ◽  
Yuanfa Feng ◽  
Jianheng Ye ◽  
Zhaodong Han ◽  
Yuxiang Liang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Microenvironment ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Biochemical Recurrence ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Cell Contact ◽  
Recurrence Free Survival ◽  
Free Survival

Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy tissues, provide critical information at molecular levels that can be used to differentiate aggressive tumors from indolent tumors. In this study, we analyzed 52 TAN samples from the Cancer Genome Atlas (TCGA) prostate cancer patients and developed a 10-gene prognostic model that can accurately predict biochemical recurrence-free survival based on the profiles of these genes in TAN tissues. The predictive ability was validated using TAN samples from an independent cohort. These 10 prognostic genes in tumor microenvironment are different from the prognostic genes detected in tumor tissues, indicating distinct progression-related mechanisms in two tissue types. Bioinformatics analysis showed that the prognostic genes in tumor microenvironment were significantly enriched by p53 signaling pathway, which may represent the crosstalk tunnels between tumor and its microenvironment and pathways involving cell-to-cell contact and paracrine/endocrine signaling. The insight acquired by this study has advanced our knowledge of the potential role of tumor microenvironment in prostate cancer progression.

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