ORIGINAL ARTICLE
Ahead of print publication  

Prostate cancer upgrading or downgrading of biopsy Gleason scores at radical prostatectomy: prediction of “regression to the mean” using routine clinical features with correlating biochemical relapse rates


1 Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
2 Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

Date of Submission05-Jul-2018
Date of Acceptance19-Jan-2019
Date of Web Publication17-May-2019

Correspondence Address:
John W Davis,
Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030
USA
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/aja.aja_29_19

PMID: 31115364

  Abstract 


Recommendations for managing clinically localized prostate cancer are structured around clinical risk criteria, with prostate biopsy (PB) Gleason score (GS) being the most important factor. Biopsy to radical prostatectomy (RP) specimen upgrading/downgrading is well described, and is often the rationale for costly imaging or genomic studies. We present simple, no-cost analyses of clinical parameters to predict which GS 6 and GS 8 patients will change to GS 7 at prostatectomy. From May 2006 to December 2012, 1590 patients underwent robot-assisted radical prostatectomy (RARP). After exclusions, we identified a GS 6 cohort of 374 patients and a GS 8 cohort of 91 patients. During this era, >1000 additional patients were enrolled in an active surveillance (AS) program. For GS 6, 265 (70.9%) of 374 patients were upgraded, and the cohort included 183 (48.9%) patients eligible for AS by the Prostate Cancer Research International Active Surveillance Study (PRIAS) standards, of which 57.9% were upgraded. PB features that predicted a >90% chance of upgrading included ≥ 7 cores positive, maximum foci length ≥ 8 mm in any core, and total tumor involvement ≥ 30%. For GS 8, downgrading occurred in 46 (50.5%), which was significantly higher for single core versus multiple cores (80.4% vs 19.6%, P = 0.011). Biochemical recurrence (BCR) occurred in 3.4% of GS 6 upgraded versus 0% nonupgraded, and in GS 8, 19.6% downgraded versus 42.2% nondowngraded. In counseling men with clinically localized prostate cancer, the odds of GS change should be presented, and certain men with high-volume GS 6 or low-volume GS 8 can be counseled with GS 7-based recommendations.

Keywords: biopsy; downgrade; Gleason score; prostate cancer; upgrade


Article in PDF

How to cite this URL:
Altok M, Troncoso P, Achim MF, Matin SF, Gonzalez GN, Davis JW. Prostate cancer upgrading or downgrading of biopsy Gleason scores at radical prostatectomy: prediction of “regression to the mean” using routine clinical features with correlating biochemical relapse rates. Asian J Androl [Epub ahead of print] [cited 2019 Oct 21]. Available from: http://www.ajandrology.com/preprintarticle.asp?id=258497




  Introduction Top


Decision-making in newly diagnosed, clinically localized prostate cancer (PCa) is often organized by risk classification, which is a combination of Gleason score (GS), prostate-specific antigen (PSA), and clinical stage.[1],[2] Of those three, the GS tends to have the strongest prognostic power for predicting pathologic stage and disease recurrence.[1],[2] An early decision is whether or not a patient is best suited for active surveillance (AS), active intervention, or perhaps combination therapy – the latter possibly on a clinical trial.[3] In simplified thinking, low-risk disease may have AS, intermediate-risk disease may have monotherapy (surgery or radiation), and high-risk disease may have multimodality therapy/clinical trials. However, with full case details, patients will certainly crossover, i.e., some intermediate risk to AS and some high risk to monotherapy. Such details can include the number of positive cores and length of tumor foci (or percentage cancer in a core).[4] Recent studies have refined risk classifications: intermediate-risk disease can be classified into favorable versus unfavorable,[5] and high-risk disease can be high-versus very high-risk disease.[4],[6] Additional prognostic information can be gained from magnetic resonance imaging (MRI) staging and/or genomic testing,[7] but these come at an additional cost.

We have observed that certain patterns of low-risk disease are commonly upgraded to intermediate grade at RP and should possibly treated as intermediate-risk disease in clinical decision-making. At the same time, we have observed high-risk disease that is downgraded to intermediate-risk disease at surgery and should be managed as such. The observations are similar to the statistical term “regression to the mean” which states that extreme values often merge back to the mean when re-measured. In this article, we sought to explore the observation whereby simple biopsy patterns can be analyzed for prognostic power that would change clinical risk classification.


  Patients and Methods Top


We performed a retrospective analysis of prospectively entered data from a single tertiary cancer hospital (MD Anderson Cancer Center, Houston, TX, USA) involving multiple surgeons. Institutional Review Board's approval was obtained from MD Anderson Cancer Center, DR 10-0554; patients signed general clinical data use consent and the protocol included a waiver of study specific consent. From May 2006 to December 2012, 1590 patients underwent robot-assisted radical prostatectomy (RARP). In this same era, >1000 additional patients were enrolled in an AS program. Key inclusion criteria were for two cohorts: biopsy GS (3+3) undergoing RARP (n = 396) and biopsy GS (4+4) undergoing RARP (n = 145). Exclusion criteria included neoadjuvant hormones or chemotherapy (n = 67), diagnosed with transurethral prostate resection (n = 9), or biopsy Gleason pattern 5. After exclusions, 374 patients in the GS (3+3) cohort and 91 patients in the GS (4+4) were eligible for final analysis. All outside biopsies were re-reviewed by a small core of genitourinary pathologists, and all RP specimens were read by a single experienced genitourinary pathologist (ISUP 2005 criteria[8]). Data abstraction included demographics, patient and disease characteristics, and the Prostate Cancer Research International Active Surveillance Study (PRIAS) Active Surveillance criteria (T1c–T2, PSA ≤10 ng ml−1, one or two positive cores, prostate-specific antigen density [PSAD] <0.2 ng ml−1).[9] We noted biopsy features such as high-grade prostatic intraepithelial neoplasia (HGPIN) and/or atypical small acinar proliferation (ASAP) status. We measured all possible ratios of biopsy core and tumor foci metrics, i.e., number of positive cores, percent of positive cores, maximum positive core length, percent of max positive core length in the core, total positive core length, and percentage of PCa in the specimen (total length of the positive core/total core length). In addition, associated presence of GS 6–7 score was evaluated in GS (4+4) patients (as opposed to all cores GS [4+4]). Postoperative evaluation included GS changes, pathological stage, and biochemical recurrence (BCR). Patients with a PSA level >0.2 ng ml−1 were considered as BCR after RARP during the follow-up period.

Of note, this cohort is predominately in the perfusion biopsy era, and most patients would have had only 10–12 core systematic biopsies performed in or out of the institution, with all cases having outside pathology re-reviewed.

Statistical analyses

Statistical analysis was performed using STATA/SE version 14.1 statistical software (Stata Corp., LP, College Station, TX, USA). Descriptive statistics were used to summarize the study population. Student' s t-test (or Wilcoxon's rank sum) and Person's Chi-square test (or Fisher's exact test) were used to find association between groups. Univariate logistic regression methods and receiver operating characteristics (ROC) were used to determine the best cutoff points for continuous variables. Kaplan–Meier methods were used to determine BCR-free survival rates in each group. Statistical significance was considered as P < 0.05.


  Results Top


Gleason score 6 (3+3) cohort

Patients' characteristics for GS 6 (3+3) and upgrade status are shown in [Table 1]. The overall incidence of biopsy GS 6 upgrading was 265 (70.9%) of 374 patients, of which most were to GS (3+4) (90.9%, n = 241) followed by GS (4+3) (7.2%, n = 19) and GS > (4+3) (1.9%, n = 5). In the era of this cohort, patients with low-risk disease were recommended to consider AS on a protocol or per clinical guidelines. However, some chose RARP, and 183 (48.9%) of the 374 cases were eligible for AS by PRIAS standards, and 57.9% of these patients were also upgraded. Higher age, PSA, PSAD, clinical and pathological stage, number of positive cores, percent of positive cores, maximum positive core length, percentage of tumor in maximum positive core, total positive core length, percentage of PCa in total specimen, and lower number of biopsy cores were associated with GS upgrade in univariate analysis. Upgrading was detected in a significantly lower percentage of Hispanics [Table 1].
Table 1: Patients' characteristics of Gleason score (3+3) and upgrade status

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Sensitivity and specificity analyses for the best cutoff points were performed. The estimated cutoff values were age ≥60 years (sensitivity 46.4%, specificity 71.6%, P = 0.001), PSA ≥4.3 ng ml−1 (sensitivity 67.2%, specificity 52.3%, P < 0.001), PSAD ≥0.13 ng ml−1 (sensitivity 62.4%, specificity 63.8%, P < 0.001), total number of biopsy cores ≥12 (sensitivity 62.5%, specificity 28.4%, P = 0.095), number of positive cores ≥2 (sensitivity 59.6%, specificity 57.8%, P = 0.002), maximum core positive length ≥2 mm (sensitivity 67.6%, specificity 56.0%, P < 0.001), percent of tumor in maximum positive core ≥13% (sensitivity 67.2%, specificity 53.1%, P < 0.001), and percent of PCa in total specimen ≥4% (sensitivity 57.9%, specificity 57.8%, P = 0.006) [Table 2]. In multivariate logistic regression analyses, higher age and clinical stage, PSAD ≥0.13 ng ml-1, and presence of HGPIN and/or ASAP predicted upgrade from GS (3+3) to higher GS at RP. Hispanic ethnicity seems to be protective for GS 6 upgrade [Table 3]. The correlation between number of core+ and maximum tumor length in any foci was also evaluated and shown in [Table 4].
Table 2: Sensitivity and specificity analyses for Gleason score (3+3) upgrade

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Table 3: Multivariate logistic regression models for Gleason score (3+3) upgrade

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Table 4: Upgrade status from Gleason score (3+3) to > Gleason score 6 according to the core+ number and tumor length

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BCR occurred in 9 (2.4%) patients in a median (interquartile range [IQR]) follow-up of 63 (46–82) months. All of these cases were in the upgraded group. There was no difference between the upgraded and nonupgraded patients in terms of follow-up time (61 vs 63 months, P = 0.335). According to the Kaplan–Meier survival analysis, the 5-year BCR-free survival rate was statistically significantly lower in the upgraded group compared to the nonupgraded group (100.0% vs 96.7%, P = 0.047, [Figure 1]a).
Figure 1: Kaplan–Meier analyses of BCR-free survival rates. (a) Comparison of upgraded and nonupgraded patients in Gleason score (3+3) cohort. The 5-year BCR-free survival rate was statistically significantly lower in the upgraded group (100.0% vs 96.7%, P = 0.047). (b) Comparison of downgraded and nondowngraded patients in Gleason score (4+4) cohort. The 5-year BCR-free survival rate was detected significantly higher in the downgraded group (71.1% vs 50.8%, P = 0.032).* P < 0.05 was considered statistically significant. BCR: biochemical recurrence.

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Gleason score 8 (4+4) cohort

Patients' characteristics for GS 8 (4+4) and downgrade status are shown in [Table 5]. For GS 8, 79.1% of patients also had GS 6−GS 7 in other biopsies. Downgrading occurred in 46 biopsies (50.5%). Lower number of positive cores with GS (4+4) was the sole parameter associated with downgrade in univariate analyses [Table 5].
Table 5: Patients' characteristics of Gleason score (4+4) and downgrade status

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Sensitivity and specificity analyses for the best cutoff points were performed. The estimated cutoff values were age ≤65 years (sensitivity 41.3%, specificity 62.2%, P = 0.731), PSA ≤6.05 ng ml−1 (sensitivity 52.2%, specificity 57.8%, P = 0.342), PSAD ≤0.20 ng ml−1 (sensitivity 63.2%, specificity 50.0%, P = 0.241), total number of biopsy cores ≤6 (sensitivity 15.2%, specificity 84.4%, P = 0.964), number of positive cores <2 (sensitivity 80.4%, specificity 44.4%, P = 0.011), maximum core positive length ≤5 mm (sensitivity 78.3%, specificity 35.6%, P = 0.145), percentage of tumor in maximum positive core ≤16.7% (sensitivity 84.8%, specificity 40.0%, P = 0.008), and percentage of PCa in total specimen ≤12% (sensitivity 59.2%, specificity 43.2%, P = 0.799) [Table 6]. In multivariate logistic regression analyses, none of these parameters were associated with GS downgrade (All P > 0.05, [Table 7]).
Table 6: Sensitivity and specificity analyses for Gleason score (4+4) downgrade

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Table 7: Multivariate logistic regression models for Gleason score (4+4) downgrade

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BCR occurred in 28 (30.8%) patients with 9 (19.6%) in the downgraded and 19 (42.2%) in nondowngraded group, in a mean (IQR) follow-up of 60 (41–75) months. There was no difference between the downgraded and nondowngraded patients in terms of follow-up time (72 vs 76 months, P = 0.577). According to the Kaplan–Meier survival analysis, the 5-year BCR-free survival rate was detected significantly higher in the downgraded group (71.1% vs 50.8%, P = 0.032, [Figure 1]b).


  Discussion Top


Multiple studies have addressed the frequent clinical observation that prostate biopsy GS and RP GS will be discordant[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21],[22],[23],[24],[25],[26],[27] in 12%–92% of cases. The published explanations could include repeat review of specimens[17],[18],[19],[21],[22],[24],[26],[27],[28] by dedicated genitourinary pathologist,[13],[16],[22],[24] or the major revision of the Gleason grading system at the International Society of Urological Pathology (ISUP) consensus conference in 2005.[8] Our study suggests that, beyond interpretation issues, the acquisition of the rest of the gland provides such a different sample size than biopsy that the high prevalence of mixed Gleason 3 and 4 pattern disease results in a regression to the mean GS7, even when biopsies indicate the more extreme GS 6 or GS 8. Our data suggest a difference between low-volume GS 6 and high-volume GS 6; although of interest, the high correlation of high-volume GS 6 to upgrading did not result in a large difference in recurrence rate. At the other extreme, nonupgraded GS 6 did not recur, in keeping with the modern concept of pathologic GS 6 not demonstrating the definition of a malignancy. Moving forward, our study explores two follow-up areas on the impact of GS changes: (1) would they change clinical management and (2) would they change biochemical recurrence rates?

Clinicians may recommend additional testing – with added expense – to refine clinical decision-making. In some cases, the biopsy GS may be accepted at face value for clinical decision-making. While MRI and targeted biopsy may be an improved method to obtain the correct pathologic GS,[29],[30],[31] our study can provide some useful preliminary information and patient selection guidance.

At the low end of the scale, GS (3+3) is often selected for AS, although a surprising number of our patients who opted for surgery were upgraded to GS (3+4) or higher (70.9%) overall. This rate of upgrading has been described before[27] and, in our case, includes a cohort of biopsy GS 6 cases selecting surgery where 48.9% were PRIAS candidates. Truong et al.[23] evaluated all the AS protocols including PRIAS criteria and reported an upgrade rate of 30.9% (P < 0.0001) in patients eligible for PRIAS criteria. Fortunately, the majority of these upgrades were only to GS (3+4) (90.9%) with only 3.4% BCR. We would hypothesize, therefore, that, although giving the pathologist “the rest of the gland” is highly correlated with finding Gleason pattern 4 somewhere, the biology of the disease in the intermediate-term follow-up (5 years) is almost benign. In pure GS 6 confirmed at surgery, BCR was not observed.

Nevertheless, our statistical modeling shows various predictors for upgraded Gleason score at RP: higher age, clinical stage, PSAD, and presence of HGPIN and/or ASAP. In [Table 4] , we illustrate the spectrum of GS 6 biopsies and how number of cores+ and length of tumor foci can correlate with a >90% chance of upgrading. The ideal patient for lowest risk of upgrading would be age under 60 years, 1 core with <2 mm, PSA <4.3 ng ml-1, PSAD <0.13 ng ml-1, cT1c, and Hispanic. On the other hand, a very young patient with multiple risk factors for upgrading might be counseled as a GS (3+4). Then, the patient and clinician can focus upon whether or not that is enough information to make a decision versus add MRI and/or genomic testing to break the tie between surveillance and intervention.

It is noteworthy that, although many of these prognostic features and different ones have been reported,[10],[11],[13],[14],[16],[18],[19],[21],[22],[23],[24],[26],[28],[32],[33],[34] PSAD seems very consistent as a prognostic feature and does not add any cost.[11],[14],[20],[21],[23] Sfoungaristos and Perimenis[21] identified the best PSAD cutoff for upgrade as 0.15. The study by Seisen et al.[27] found biopsy volume metrics as predictive of upgrading, and a recent review[35] looked at studies from 2000 to 2016 – noteworthy nonpredictive features including clinical stage, race, smoking status, family history of PCa, HGPIN, and/or ASAP,[18],[21],[22] and ethnicity[22],[23],[24] were evaluated in very few studies and no correlation was found with GS upgrade.

These are “treated” statistics, and if the decision is for surveillance, then GS 7 still has to be discussed in terms of its success rates in the long term. Dall'Era and Klotz[35] have shown that some intermediate-risk patients are at higher risk of metastases on surveillance, and the ProTect trial[36] also showed differences in metastases compared to treated cohorts. Perhaps, the recently published PRECISION[30] trial will lead to greater numbers of MRI before primary biopsy such that more patients are allocated to the correct GS at first biopsy. Indeed, the study by Radtke et al.[31] showed >90% accuracy in identifying index lesions. Therefore, in the circumstance of available highly expert MRI image acquisition, interpretation, and fusion (possibly cognitive) biopsy techniques, the final grade issues should shift in a favorable direction: (1) MR-fusion biopsied patients with GS 7 will more likely be identified that way at biopsy and (2) MR-fusion biopsied patients with GS 6 should have lower risk of upgrading.

On the high end of the scale, most guidelines suggest that high-risk PCa consider active intervention as well as clinical trials. High-risk patients choosing radiation would have different androgen deprivation therapy (ADT) recommendations compared to intermediate-risk patients – 24 months versus 6 months.[37],[38],[39] It certainly makes sense that biopsy pattern 5 will likely correlate with RP pattern 5 – usually a final score of 4+5 or 5+4. However, with biopsy GS (4+4), all you need is additional areas of pattern 3 in the predominant foci to downgrade it to 4+3 or 3+4. In addition, biopsy GS (4+4) patients may have that finding in isolation, or with other positive cores showing lower grade. We considered both possibilities, and the overall downgrading rate was 50.5% with multiple prognostic factors shown in [Table 6] and [Table 7]. Moussa et al.[12] and Epstein et al.[26] also reported a similar rate of downgrade from GS 8 as 50.0% and 51.3%, respectively. Moussa et al.[12] evaluated the downgrade factors generally for all GS and found a significant relation with higher prostate volume, more obtained biopsy cores, and low maximum percentage cancer in any core. Epstein et al.[26] detected lower PSA level and lower maximum percentage of cancer per core as significant predictors for downgrade for any biopsy GS. Although having a single core of GS (4+4) was prognostic for downgrading, none of our features held up in multivariate analysis – perhaps sample size limiting. Five-year BCR shown in [Figure 1]b was improved by 20.3% in the downgraded group. These might be more subtle aspects of clinical utility, as patients seem to merit treatment either way, but perhaps useful statistics for further study and refinement for defining more truly high-risk patients for clinical trials and/or radiation candidates for reduced ADT exposure. On the other hand, it is a reasonable argument that the 28.9% 5-year BCR of downgraded high-risk cases merits consideration for combination therapy and/or trials.

Our study is limited by being retrospective, single institution/tertiary referral location, and specific to the biases of patients selecting RP (i.e., age, comorbidity, etc.). Our follow-up metrics are limited to BCR given the more recent era of study. BCR may be associated with metastatic progression and further survival endpoints, but with heterogeneous timing and significance – these would be areas for future study.


  Conclusion Top


In counseling men with clinically localized prostate cancer, the odds of GS change should be presented, and certain men with high volume GS 6 or low volume GS 8 managed as if they are GS 7.


  Author Contributions Top


MA participated in the design, collection, and analyses of the data, drafted the manuscript, and participated in the revision. JWD designed the study concept, interpreted the data, performed the critical revision for important intellectual content, and supervised the drafting of the manuscript. MFA carried out the data collection. PT reviewed the pathological slides and the manuscript. GNG performed the statistical analyses. SFM provided patient data and reviewed the manuscript. All authors read and approved the final manuscript.


  Competing Interests Top


All authors declared no competing interests.


  Acknowledgments Top


We sincerely thank the patients for their participation in this study.



 
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    Figures

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    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]



 

 
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Abstract
Introduction
Patients and Methods
Results
Discussion
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Author Contributions
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