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Yonsei Med J. 2010 September 1; 51(5): 700–707.
Published online 2010 July 15. doi:  10.3349/ymj.2010.51.5.700
PMCID: PMC2908868

Can We Predict Real T3 Stage Prostate Cancer in Patients with Clinical T3 (cT3) Disease before Radical Prostatectomy?

Abstract

Purpose

Down-staging of clinical T3 (cT3) prostate cancer after radical prostatectomy (RP) is not uncommon due to the inaccuracy of the currently available staging modalities, although selected down-staged cT3 patients can be a candidate for definitive RP. We identified the significant predictors for down-staging of cT3 after RP.

Materials and Methods

We included 67 patients with cT3 stage prostate cancer treated with radical perineal prostatectomy (RPP) between 1998 and 2006 and reviewed their medical records retrospectively. The clinical stage was obtained according to the DRE, the prostate biopsy findings, and the prostate MRI.

Results

Fifty three (79%) patients with cT3 prostate cancer were down-staged to pT2 after RP. The percent of positive cores had the strongest association with down-staging of cT3 [p = 0.01, odds ratio (OR) = 6.3], followed by baseline prostate specific antigen (PSA) (p = 0.03, OR = 5.0), the biopsy Gleason sum (GS) (p = 0.03, OR = 4.7), and the maximum tumor volume of the positive cores (p = 0.05, OR = 4.0). When the cut-off points of significant parameters which were a PSA < 10 ng/mL, a percent of positive cores ≤ 30%, a maximum tumor volume of the positive cores ≤ 75% and GS ≤ 7 were combined, the sensitivity, specificity, and positive predictive value were 0.25%, 1.00%, and 100%, respectively.

Conclusion

The percent of positive cores ≤ 30%, serum PSA < 10 ng/mL, the biopsy GS ≤ 7, and the maximum tumor volume of the positive cores ≤ 75% were the significant predictors of down-staging cT3 disease after RP.

Keywords: Prostate cancer, staging, cT3, MRI

INTRODUCTION

Clinical T3 (cT3) prostate cancer is present in 12-40% of all patients who are newly diagnosed with prostate cancer.1-3 Although the gold standard for treating these patients remains controversial, the optimal management of locally advanced prostate cancer should be individually tailored based on the clinical stage, the biopsy Gleason sum (GS) and the prostate specific antigen (PSA) level, as well as the patient's age, co-morbidities, and personal preference. Until recently, definite radical prostatectomy (RP) has not been considered as the standard treatment for cT3 high risk prostate cancer which has grown beyond the periprostatic tissue or seminal vesicles without lymph node invasion or distant metastases.1 Because RP cured only a minority of patients when applied as a monotherapy, the combination of hormonal treatment (HT) with radiotherapy (RT) was previously considered state of the art for the management of cT3 disease.

However, down-staging (pT2) or up-staging (pT4 or pN+) after RP is not a rare clinical error due to the inadequate diagnostic accuracy of the preoperative staging evaluation, and in one study, the proportion of clinical over-staging was reported to be 27% of all the hormonenaive cT3 patients.2 Several authors reported very good long-term outcomes after surgery as the initial treatment for locally-advanced prostate cancer, especially in the case of over-staged patients with cT3 prostate cancers.2,3 The favorable cancer-specific survival rate and the overall survival rate after RP at the 10-yr follow-up for patients with cT3 disease were reported to be > 75% and 60%, respectively, in previous studies.4 Similarly, Freedland, et al. reported that among 56 patients who had clinical stage T3a disease treated by RP alone by a single surgeon between 1987 and 2003, PSA-free survival at 15 years after surgery was 49% and metastasis-free survival and cause-specific survival at 15 years after surgery were 73% and 84%, respectively.5 But the evaluation of the Surveillance, Epidemiology, and End Results database reveals that only 9% of men with locally advanced, nonmetastatic disease are treated surgically (± HT), and even for men with a long life-expectancy.5 Although Partin tables which use a combination of preoperative PSA, biopsy GS, and clinical stages are the most widely used tool to predict final pathological staging after RP for organ-confined tumors, rare useful preoperative predictive parameters for locally advanced disease are available.6 In addition, retrospective data show that the patients who are young and have organ confined diseases demonstrate the best postoperative results in terms of curative and erectile function.7 If over-staged cT3 prostate cancer could be reliably identified before determining the treatment plan by clinical parameters, these predictors could be used as selection criteria of patients that can benefit from RP and can be a candidate for nerve-preservation. In this study, we found the useful predictors for down-staging of cT3 after RP and evaluated the determined predictors' diagnostic efficacy at specific cut-off points.

MATERIALS AND METHODS

Sixty-seven patients with cT3 prostate cancer that were treated with radical perineal prostatectomy (RPP) at our institution between 1998 and 2006 were included in this study. We reviewed the patients' medical records, retrospectively, and excluded patients with a history of neoadjuvant HT or RT. The routine preoperative clinical staging work-up included taking the history and a physical examination that included a digital rectal examination (DRE), determining the serum baseline PSA level, the transrectal ultrasound (TRUS) guided prostate biopsy, MRI, and bone scan.

The serum PSA level was determined on an ambulatory basis prior to biopsy with the Hybritech, Tosoh, or Abbot assay. All the prostate biopsies were performed using a standard 18 gauge biopsy gun and the number of biopsy sites ranged from six to ten with additional targeted biopsies when a hypoechoic or suspicious lesion existed. For each needle biopsy, certain variables were assessed, including the GS, the percent of tumor as a function of all the biopsy tissue, the number of cancer positive cores and the total number of cores from all the biopsy sites.

MRI was performed using a whole-body 3-T MR scanner with pelvic phasedarray coil and were performed according to the same protocol. All MRI studies were performed more than 3-4 weeks after prostate biopsy to reduce the possibility of post-biopsy artifacts. All data were evaluated by two experienced radiologists with knowledge of clinical data PSA, biopsy GS, and DRE findings. We considered the MRI findings in determining clinical stage and cT3 disease was defined as a state with suspicious extra-capsular extension (ECE) or seminal vesicle invasion (SVI) in the MRI. The following criteria were used for the diagnosis of ECE: tumor tissue in the extraprostatic tissue, obliteration of the rectoprostatic angle, bulging of the prostate contour caused by tumor, asymmetry or direct involvement of the neurovascular bundles, thickening, retraction or irregularity of the prostate capsule, disruption of the prostatic capsule adjacent to the tumor, and stranding of the periprostatic fatty tissue.8,9 The criterion for seminal vesicle invasion was abnormal asymmetric low signal intensity within the lumen on T2-weighted images. All the prostates from RP were examined while they were still fresh by a pathologist. Routine sections of all the surgical margins, including the prostatic base, apex and peripheral zone, the capsule and periprostatic soft tissue, seminal vesicle, urethra, and bladder neck were examined on permanent staining. Based on these findings, ECE, SVI, and/or positive surgical margins (PSM) were recorded. Diseases extending into but not through the prostatic capsule were considered negative for ECE.

Univariate analysis of the clinical characteristics between the down-staged cT3 group and the non down-staged group after RP was assessed by Student t-test, Mann-Whitney U-test, and chi-square test. A logistic regression multivariate analysis was performed to evaluate the ability of the preoperative PSA level, the PSA density (PSAD: PSA divided by prostate volume measured with TRUS), and the prostate biopsy findings, including the biopsy GS, the percent of positive cores, and the maximum tumor volume of the positive cores to predict down-staging after RP. The receiver operating characteristics (ROC) curve analysis derived area under the curve (AUC) estimates determined the cut-off points of each predictor, and their sensitivity, specificity, and positive predictive value (PPV) were then analyzed. The SPSS version 17.0® (SPSS Inc, Chicago, IL, USA) for Windows was used for statistical analysis and a probability (p) level of less than 0.05 was considered statistically significant.

RESULTS

Of the total 67 patients with cT3 stage disease, 79% (n = 53) were down-staged after RPP and neurovascular bundle saving technique was applied to 10 (15%) patients (unilateral: 2, bilateral: 8). Among the 53 down-staged patients, 21 (39.6%) and 32 (60.4%) patients were cT3a (positive ECE) and cT3b (positive seminal vesicle invasion), respectively. Table 1 summarizes the comparative analysis of clinical and pathological features between the down-staged group and non down-staged group after RPP. In the 53 down-staged patients, 10 (18.9%) patients had a positive surgical margin in their post-prostatectomy specimen compared to 11 (78.6%) patients in the non down-staged group (p < 0.001). The nerve-sparing rate was significantly different between the down-staged group (9.4%) and non down-staged group (35.7%) (p = 0.014). When the PSA cut-off value of 0.4 ng/mL was used as the definition of biochemical recurrence, oncologic outcomes including postoperative biochemical recurrence rate (17.0% vs. 78.6%, p < 0.001), biochemical recurrence free interval (52 months vs. 8.5 months, p < 0.001), and 3-year biochemical recurrence free probability (89% vs. 36%, p < 0.001) showed meaningfully better results in the down-staged group compared to the non down-staged group.

Table 1
Univariate Analysis of the Clinical and Prostate Needle Biopsy Findings as a Function of the Down-Staging after Radical Prostatectomy

The baseline PSA level (p < 0.001), PSAD (p < 0.001), the biopsy GS (p = 0.01), the percent of positive cores (p = 0.02), and the maximum tumor volume of the positive cores (p = 0.03) showed significant differences on univariate analysis between the down-staged cT3 prostate cancer group and the other group. But after multivariate logistic regression analysis, the percent of positive cores had the strongest association with down-staging of cT3 disease [p = 0.01, odds ratio (OR) = 6.3, 1.86 ≤ 95% CI ≤ 8.0], and this was followed by the preoperative PSA level (p = 0.03, OR = 5.0, 1.5 ≤ 95% CI ≤ 481.8), the biopsy GS (p = 0.03, OR = 4.7, 1.3 ≤ 95% CI ≤ 196.7), and the maximum tumor volume of the positive cores (p = 0.05, OR = 4.0, 1.0 ≤ 95% CI ≤ 8.9) (Table 2).

Table 2
Multivariate Analysis of the Clinical and Biopsy Findings for Predicting the Down-Staging of Clinical T3 Prostate Cancer

The ROC curve analysis demonstrated the largest AUC for the preoperative PSA (0.832), and this was followed by the biopsy GS (0.706), the percent of positive cores (0.687), and the maximum tumor volume of the positive cores (0.592) (Fig. 1). Table 3 lists the sensitivity, specificity, and PPV at the cut-off value of each predictor for down-staging cT3 disease. Among the 28 (42%) patients with an initial PSA level ≤ 10 ng/mL, only 57% were down-staged according to the radical prostatectomy specimen. But if the preop PSA level was less than 10 ng/mL, then 95% of the patients would have had a pathological stage ≤ pT2. If the cut off value of the percent of positive cores was determined as 30%, then the sensitivity, specificity, and PPV were 0.36, 1.00, and 100% in contrast to 0.94, 0.14, and 85%, respectively, when the percent of positive cores was determined as 75%. In addition, the sensitivity, specificity, and PPV were 0.66, 0.50, and 83%, respectively, at a 75% maximum tumor volume of the positive core and these values were 0.40, 0.79 and 88%, respectively, at a biopsy GS of 7. Finally, when the cut-off points of significant parameters which were a PSA < 10 ng/mL, a percent of positive cores ≤ 30%, a maximum tumor volume of the positive cores ≤ 75% and GS ≤ 7 were combined, then the sensitivity, specificity, and PPV were determined to be 0.25, 1.00, and 100%, respectively.

Fig. 1
The ROC curve analysis of each clinical parameter for predicting down-staging of clinical T3 prostate cancer area under curve (AUC). Preoperative PSA, 0.832; Biopsy Gleason sum (GS), 0.706; Percent of positive cores, 0.687; Maximum tumor volume of the ...
Table 3
The Sensitivity, Specificity, PPV, and NPV at Each Cut-Off Value of the Preoperative Predictors for Predicting Down-Staging of Clinical T3 Prostate Cancer

DISCUSSION

The treatment goal for locally-advanced prostate cancer is to potentially cure the disease, prolong the biochemical progression-free or metastasis-free survival, and improve the quality of life. Although RP has been generally recommended for patients with a PSA < 20 ng/mL, a disease stage ≤ cT3a and a biopsy GS ≤ 8, RP could be an alternative choice which has acceptable surgery-related morbidity for selected patients with cT3 disease if the improved surgical techniques such as radical extirpation and extended lymph node dissection were performed and, especially if these patients were down-staged to pT2 after RP. Although definitive surgery is not very popular in treating cT3 disease, recent studies have presented very convincing long-term outcomes after surgery as primary treatment, with 5- and 10-year overall survival of 75-97.6% and 60-94.8%, and 5- and 10-year cancer specific survival of 85-100% and 57-90%, respectively.2,3,10,11

In several factors influencing the outcome in cT3 prostate cancer, the pathologic stage eventually has an important influence in postoperative cancer control.12,13 The results of our study supported this by showing better oncologic surgical outcomes in the down-staged group after RP compared to the non down-staged group. Despite various efforts to enhance the accuracy of the prediction of non-organ confined diseases, the down-staging rate of cT3 diseases is known to be about 17-30% and these patients could be candidates for RP according to the generally accepted standards.13,14 Predictive algorithms based on multivariate regression analysis and neural networks are superior to standard empirical methods of clinical staging and they have been validated in several studies.12 Although currently, DRE, biopsy GS, and serum PSA alone or in combination do not accurately predict disease extent for the individual patient, a combination of all three has been recommended as a basis of predictive algorithms for prostate cancer staging. Partin tables, a pretreatment table using the combination of preoperative serum PSA, biopsy GS, and clinical stage are the most widely used tools to predict the final histopathology in clinically organ-confined disease (stage cT1c-cT2c) and have been demonstrated to be more accurate than any single clinical staging method alone.7 Since the introduction of these nomograms at Johns Hopkins Hospital, the presence of pathologically non-organ-confined cancers has dropped from about two-thirds in the prenomogram era to less than half, and the incidence of either seminal vesicle involvement or pelvic lymph node metastasis decreased from 20% to 10%.

However, predictive nomograms which can provide a basis for decision-making and patient counseling before treating clinically locally-advanced prostate cancer is still lacking. Our study used the combination of baseline PSA level and biopsy findings including GS, the percent of positive cores, and finally the maximum tumor volume of the positive cores to predict down-staging after RP in this study. In one recent study, patients were divided into three PSA subgroups (≤ 10 ng/mL, > 10-20 ng/mL, and > 20 ng/mL) and two GS subgroups [≤ 7 (3 + 4) and ≤ 7 (4 + 3)] and the table stratifies patients into six demarcated risk groups.15 While in the first group, consisting of patients with PSA ≤ 10 ng/mL and GS ≤ 7 (3 + 4), under-staging was only 6% (5% pT3b and 1% pT4), in the sixth group consisting of patients with PSA > 20 ng/mL and GS ≤ 7 (4 + 3), under-staging was as high as 68% (44% pT3b and 22% pT4). They reported accurate predictive ability of the table for SVI (AUC 0.73, 0.653 ≤ 95% CI ≤ 0.803) and for adjacent structure involvement (AUC 0.80, 0.732 ≤ 95% CI ≤ 0.860) in ROC analysis. Veltri and co-workers combined serum PSA levels, patients' age, the number of positive biopsy cores, the percentage of tumor involvement in a core, GS, the presence of a Gleason grade of 4 or 5, and the tumor location by sextant biopsy to predict disease extent on the basis of multivariate regression analysis and reported a sensitivity of 91% and 53% and a specificity of 41% and 94% for the prediction of organ confinement and advanced disease, respectively. Moreover, several neural networks, which can define nonlinear patterns between predictor variables more precisely than linear statistical models, have been introduced to predict disease extent.9,16

The preoperative PSA level, the biopsy GS, the percent of positive cores, and the maximum tumor volume of the positive cores were determined to be the significant predictors of down-staging in our study. When the cut-off points of the PSA was < 10 ng/mL, the percent of the positive cores was ≤ 30%, the maximum tumor volume of the positive cores was ≤ 75%, and the biopsy GS was ≤ 7, and all these were combined, the sensitivity, specificity, and PPV were 0.25, 1.00, and 100%, respectively. The PSA value has been known to generally be correlated with the cancer volume, GS, ECE, and the occurrence of lymph node metastases. For example, one study showed that a PSA level > 10 ng/mL has a sensitivity, specificity, and PPV of 61%, 88%, and 88% for the detection of ECE, respectively.17 Narayan, et al. established probability plots that can predict the presence of ECE, seminal vesicle involvement, and lymph node metastases using PSA level.18 In addition, according to previous studies, the percent of positive cores or the maximum tumor volume of the positive cores in the needle biopsy may provide excellent information for disease extent. In a study of 207 patients, the extent of cancer in the needle biopsy, as defined by the percent of positive cores and the maximum tumor volume of the positive cores, is strongly predictive of pathological organ-confined diseases and the tumor volume at radical prostatectomy.19 For example, patients with 1 tumor positive biopsy of 6 biopsies or the tumor volume of the positive biopsy less than 5% had an approximately 10% or less risk of ECE. The number of positive cores is jointly predictive of ECE in a model incorporating the PSA level, the clinical stage, and the GS; therefore, a model to predict organ-confined disease should incorporate the extent of the tumor in the needle biopsy.20 Finally, patients with a GS 8 or 9 at the time of the needle biopsy were almost 12 times as likely to have ECE at prostatectomy compared with those patients with a GS ≤ 6.21 Similarly, our data showed that a patient with a biopsy GS ≤ 7 was 4.7 times as likely to be down-staged to ≤ pT2 (p = 0.03, 1.3 ≤ 95% CI ≤ 196.7) and the sensitivity, specificity, and PPV were 0.66, 0.50, and 83%, respectively. But although the GS, the extent of carcinoma in the biopsy specimen, and the presence of perineural invasion are significant indicators of either the tumor volume or the pathologic stage, a previous model that used these biopsy findings still revealed an inadequate ability to predict the tumor volume and stage at RP.19 And high GS prostate cancer patients confined to the prostate at histopathologic examinations have an excellent oncologic outcome after RP.22 Thus, ancillary markers, including DNA ploidy or MIB-I, have been suggested as a new factor that can enhance the ability to predict clinically significant outcomes.23,24

All the patients diagnosed with prostate cancer at our institution routinely underwent a prostate MRI and we considered MRI findings to determine the clinical TNM staging, especially ≤ cT3 stage and treatment options instead of DRE. Despite the introduction of new imaging techniques and the refinement of existing techniques, it remains difficult to stage accurately in the preoperative period between organ confined and locally advanced diseases. Ohori, et al. reported that the PPV and NPV for detecting ECE were 74% and 64%, respectively, for DRE, and in another study, the PPV and NPV of MRI for identifying ECE ranged from 66% to 82% and from 30% to 90%, respectively.25,26 The wide variation in the reliability of DRE and MRI for determining the presence of ECE may come from the operator-dependent examinations, which depend on the personal skill and the interpretation of the test results by the investigator. Although standard clinical staging evaluation does not considers MRI but DRE, clinical assessment by DRE and the measurement of the PSA level is not accurate in determining the local stage, with underestimations in as many as 40-60% of cases.27 The sensitivity of DRE alone in diagnosing non organ-confined diseases is poor: 20-40% of men with nonpalpable diseases and 50-75% of men with palpable clinical stage T2 tumors have extraprostatic diseases at surgery and over-staging occurs in 10-20% of men with clinically non organ-confined diseases.28 Therefore, accurate staging with additional imaging methods is an important issue for correct management of prostate cancer patients.

Among these imaging techniques, MRI is considered to play an important role in local staging of prostate cancer and the role of MRI of the prostate has been debated extensively in previous studies. In fact, the low sensitivity of MRI for the detection of local extension (20-70%) or lymph node metastasis (0-15%) also limits their usefulness in clinical staging and their use was eliminated in patients with PSA levels of < 20 ng/mL, which have a less than 1% probability of lymph node involvement. However, recently, with the introduction of new MR sequences, new coils, and other technical developments instead of initially MR imaging using a conventional body coil with limited anatomical resolution, the diagnostic capability of MRI imaging in preoperative staging of prostate cancer was reported as a maximum combined sensitivity and specificity of 71% in a meta-analysis of all published studies evaluating the performance of MR imaging in the local staging of prostate cancer.29 In another prospective study to compare the accuracy in predicting pathological stage in patients intended for RP between 3-Tesla (T) MRI and the Partin tables, 3T MRI showed a high accuracy (85.2%) for the staging of clinically localized prostate cancer, and it was significantly more accurate in predicting the final pathological stage than the Partin tables.30 In the present study, 53 (79%) patients were down-staged as ≤ pT2 after RP and this high rate could be explained partly by the fact that we included clinical staging based on the MRI findings before the techniques of prostate MRI were refined for satisfactory diagnostic accuracy. In addition, we selectively preformed RP for the cT3 patients who had a low PSA level and fair biopsy findings, although the imaging work-up was suspicious for ECE or SVI, and this also could have caused the high down-staging rate. Although an MRI can be incorporated in the clinical work up of prostate cancer, there are several limitations associated with local staging of the prostate by an MRI. For example, a hemorrhage due to a biopsy can show areas of low signal intensity that are similar to prostate cancer and so this causes discrepancies between the MRI and histopathology results. Moreover, an MRI cannot detect microscopic invasion and none of the currently available imaging modalities allow for the detection of microscopic invasion.8 The recent introduction of multi-slice dynamic contrast enhanced MRI and 1H MR spectroscopy to dynamic MRI has achieved significant improvement for tumor visualization and the staging performance for determining the presence of tumor extension by reducing the inter-observer variability.31,32 Of the total 67 patients with cT3 stage disease, the neurovascular bundle saving technique was applied to 10 (15%) patients (unilateral: 2, bilateral: 8) in our study. The patient parameters for performing "safe" nerve-sparing surgery are controversial and generally, those who are young and have organ-confined diseases were considered optimal candidates in terms of the rates of achieving a cure and maintaining a proper erectile function.7 Various clinical parameters have recently been investigated as potential selection criteria to define the cancer-specific safety of nerve-sparing surgery. Graefen, et al. proposed that only well-differentiated cancer in the preoperative biopsy and a maximum of one positive core on the evaluated side could be safe and more applicable criteria for nerve-sparing RP.33 The preoperative biopsy criteria includes moderate grade unilateral tumors of patients having at least three biopsy cores on the non-cancerous side in one study.34 However, there are no official guidelines whether or not to perform a nerve-sparing RP because of multifocality and heterogeneity of prostate cancer; our results could be carefully considered when the nerve-sparing technique was performed in RP for cT3 patients.

This study involved a small study population of a single institution within a long duration and preoperatively staged prostate cancer based on MRI findings, which is not usually used or considered in traditional clinical T staging. In addition, RP was performed in a proportion of patients with cT3 prostate cancer, so the findings of this study could not be generalized in all cT3. Finally, although our study classified those patients with ≤ pT2 disease and positive surgical margins as a down-staged group because the surgical margin involvement was not considered in the pathological staging, their prostate cancer was not organ-confined and so these pathology findings could affect the prognosis after RP. However, models promising performance for one group of patients do not guarantee utility in another group and differences in race, age, and comorbidity and variations in retrieval and interpretation of clinical data may interfere with an algorithm's predictive performance. A larger, randomized, multi-center study may provide promising answers for constructing highly accurate models or algorithms that attempt to predict the down-staging at RP, and these models or algorithms would incorporate the biopsy findings and the newly developed and refined staging modalities. Also, these models can be proved as safe parameters for nerve preservation by analyzing the oncologic outcomes when they are considered in further studies.

Footnotes

The authors have no financial conflicts of interest.

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