[CAPRA score vs minimal residual disease as predictors of biochemical recurrence after radical prostatectomy.]

OBJECTIVE

To compare the classification CAPRA (based on clinical-pathological findings) and minimal residual disease (MRD) (based on biological characteristics) to predict biochemical failure (BF).

METHOD AND PATIENTS

The clinical-pathological findings of the prostate biopsy were used to determine the CAPRA score, classifying patients into low, intermediate and high risk. Blood and bone marrow samples to detect circulating prostate cells (CPCs) and micro-metastasis were taken. The samples were classified as positive if ≥1 prostate cell was detected, forming three subgroups; Group A (MRD negative), Group B (micro-metastasis positive, CPC negative) and Group C (CPC positive). Patients were followed-up for 10 yearsor BF. Kaplan-Meier biochemical failure free survival (BFFS) curves, a predictive flexible parameter survival model and mean restricted survival times (MRST) were determined.

RESULTS

347 men participated, BF risk increased with increasing CAPRA score, HR 1.21 intermediate, 1.64 high risk; versus MRD HR 1.91 and 4.43 for Groups Band C. After 10 years the BFFS and MRST were 76%, 50% and 17% and 9, 7 and 5 years respectively for CAPRA versus 94%, 57% and 26% and 10, 9 and 6 years respectively for MRD. The concordance between observed and predicted BFFS was acceptable for CAPRA (Harrell´s C 0.64) and very good (0.92) for MRD. The BFFS curves for MRD were not proportional with time, they were similar for 5 years for Groups A and B, with increasing BFFS in Group B there after.The CAPRA score did not distinguish between Groups A and B, one third of low risk CAPRA patients had CPCs detected.

CONCLUSIONS

The MRD classification was superior to CAPRA, differentiating between early and late failure.

[Circulating prostate cells and bone marrow micro-metastasis and not treatment modality determine the risk and time to biochemical failure in low risk prostate cancer.]

INTRODUCTION

Minimal residual disease (MRD) is that which persists after curative treatment for prostate cancer. It has the potential to grow and cause metastasis. The detection of circulating prostate cells (CPCs) and bone marrow micro-metastasis could represent different sub-types of MRD.

OBJECTIVE

To determine biochemical failure free survival and time to failure, the presence of circulating prostate cells and bone marrow micro-metastasis in men treated for low risk prostate cancer.

HYPOTHESIS

The presence of MRD and not the treatment modality determines the results of therapy.

METHODS

Blood and bone marrow samples were taken one month after completing treatment to detect CPCs and micro-metastasis. Patients were classified into three groups; A: CPC negative, micro-metastasis negative, B: CPC negative, micro-metastasis positive and C: CPC positive. Biochemical failure was defined as a PSA >0.2ng/ml after radical prostatectomy and >2.0ng/ml post nadir after radiotherapy. After 10 years of follow up the Kaplan-Meier survival curve was determined and using a flexible adjusted parametric model the mean restricted survival time (MRST) was calculated for all groups.

RESULTS

343 men participated, 183 post surgery and 160 post radiotherapy, 181 (53%) had clinical stage T1 and 162 (47%) clinical stage T2a. There were no differences in treatment results between prostatectomy and radiotherapy. T1 patients had a significantly lower frequency of MRD than T2 patients (20% versus 67% p<0.001). Patients negative for MRD (Group A) had a 97% 10-year survival rate and a MRST to failure of 9.9 years. Men with only micro-metastasis (Group B) had a survival rate similar to Group A during the first five years, afterwards there was increasing treatment failure (late failure). Men positive for CPCs had a high risk of early failure.

CONCLUSIONS

The treatment results of surgery and radiotherapy are similar and depend on the sub-type of MRD. Men negative for MRD could be considered cured with a biochemical failure free survival of >95% at 10 years. The sub-type of MRD determines early or late failure and could be useful in the risk classification of patients after curative treatment.

[Primary circulating prostate cells, age and prostatic volumen predict the presence of prostate cancer in men with indication of a second prostate biopsy.]

INTRODUCTION

The limitations of serumPSA as a screening test to detect prostate cancer remainproblematic, especially after an initial negative prostatebiopsy. Detection of primary circulating prostate cells(CPCs) has been reported to be useful in the detectionof prostate cancer in men with a serum PSA>4.0ng/ml.We present a prospective study comparing the detectionof CPCs, total PSA, percent free PSA, digital rectal examination(DRE) and prostate volumen (PV) to establisha predictive model for the detection of prostate cancerin men with an indication for a second prostate biopsy.

OBJECTIVE

To establish a predictive model for the detectionof prostate cancer using the number of CPCs detectedper sample, DRE, age, total serum PSA, percentfree PSA and PV in men with an indication for a secondprostate biopsy.

METHODS AND PATIENTS

A prospective, observationalstudy carried out in the Hospital de Carabineros deChile, between 2006 and 2014 including 199 menundergoing a second prostate biopsy. The variables,number of CPCs detected (nCPC), DRE, age, PSA, percentfree PSA and PV were registered for each patientand based on these findings and comparing them withthe results of the prostate biopsy a multivariate logistic regressionanalysis incorporating forward predictors. Themodel was evaluated for co-lineal tendency, reliabilityand error specificity, and analyzed using non-parametricreceiver operating characteristics and area under thecurve decision for the combined model and for eachvariable separately.

RESULTS

The single variable nCPC had a superior predictivevalue with an area under the curve of 0.89 (95%CI 0.83-0.94). The final model incorporated nCPC (OR:2.03 95% CI 1.63-2.53) age (OR: 1.1 95% CI 1.04-1.17) and PV (OR: 0.96 95% CI 0.93-0.99) with anarea under the curve for the combined model of 0.92(95% CI 0.88-0.97). The combined model performedbetter than the variables used alone.

CONCLUSIONS

The model incorporating nCPC, ageand PV had a greater diagnostic yield for the predictingprostate cancer at second biopsy.

[Mortalidad por cáncer mamario, prostático y cervicouterino, años perdidos y costos de los programas. México, 2013 a 2016]

Introduction

In Mexico, large expenditure is made on resources for cervical and breast cancer early detection, but the Ministry of Health and the Mexican Institute of Social Security do not have a program for the detection of prostate cancer.

Objective

To compare breast, cervical and prostate cancer mortality, as well as years lost in Mexico from 2013 to 2016 versus the cost of programs.

Method

Overall mortality figures were taken from the number of deaths for each type of cancer based on ICD-10. The number of years lost were obtained according to life expectancy in Mexico (72 years for men and 77 years for women).

Results

Prostate cancer mortality is higher than that of breast cancer, but lost years in women due to breast cancer are higher. The cost of programs for breast and prostate cancer from 2013 to 2016 in both institutions was 3 036 322 156 Mexican Pesos.

Conclusion

Institutional programs have not had an impact to the benefit of the population in spite of their cost and prostate cancer has not been correctly evaluated. It is necessary for strategies to be assessed and redesigned in order to optimize expenditure and benefit the population.

A comparison of 3 on-line nomograms with the detection of primary circulating prostate cells to predict prostate cancer at initial biopsy

INTRODUCTION

The use of nomograms which include the PSA may improve the predictive power of obtaining a prostate biopsy (PB) positive for cancer. We compare the use of three on-line nomagrams with the detection of primary malignant circulating prostate cells (CPCs) to predict the results of an initial PB in men with suspicion of prostate cancer.

METHODS AND PATIENTS

Consecutive men with suspicion of prostate cancer underwent a 12 core TRUS prostate biopsy; age, total serum PSA, percent free PSA, family history, ethnic origin and prostate ultrasound results were used for risk assessment using the online nomograms. Mononuclear cells were obtained by differential gel centrifugation from 8ml of blood and CPCs were identified using double immunomarcation with anti-PSA and anti-P504S. A CPC was defined as a cell expressing PSA and P504S and defined as negative/positive. Biopsies were classified as cancer/no-cancer. Areas under the curve (AUC) for each parameter were calculated and compared and diagnostic yields were calculated.

RESULTS

1,223 men aged>55 years participated, 467 (38.2%) had a biopsy positive for cancer of whom 114/467 (24.4%) complied with the criteria for active observation. Area under the curve analysis showed CPC detection to be superior (p<0.001), avoiding 57% of potential biopsies while missing 4% of clinically significant prostate cancers.

CONCLUSIONS

The CPC detection was superior to the nomograms in predicting the presence of prostate cancer at initial biopsy; its high negative predictive value potentially reduces the number of biopsies while missing few significant cancers, being superior to the nomograms in this aspect. Being a positive/negative test the detection of CPCs avoids defining a cutoff value which may differ between populations.