Purpose: Molecular lymph node (LN) analysis using quantitative polymerase chain reaction (qPCR) detects LN metastases with higher sensitivity than histopathology. However, the prognostic role of molecular LN status in prostate cancer patients treated with radical prostatectomy (RP) and extended pelvic LN dissection (ePLND) is unclear. To investigate the association of molecular compared with histopathologic LN status with biochemical recurrence.

Experimental Design: Patients with intermediate and high-risk prostate cancer were prospectively enrolled and underwent RP with ePLND, including the obturator, internal, external, and the common iliac region. LNs ≥3 mm were bisected and examined by standard histopathology and qPCR for Kallikrein3 (KLK3) expression. Biochemical recurrence was defined by confirmed postoperative PSA > 0.2 ng/mL.

Results: In 111 patients, 2,411 of 3,173 removed LNs were examined by both methods. Histopathology detected 68 LN metastases in 28 (25%) patients. Molecular analysis confirmed elevated KLK3 expression in 65 histopathologic LN metastases of all 28 pN1 patients (pN1/molN1) and additionally reclassified 224 histopathologic negative LNs and 32 (29%) pN0 patients as LN-positive (pN0/molN1).

At a median follow-up of 48 months, 52 (47%) patients developed biochemical recurrence. Median biochemical recurrence-free survival was 9 months [95% confidence interval (CI), 0.0–20.1] in pN1/molN1 patients, 24 months (95% CI, 1.7–46.3) in pN0/molN1 patients and was not reached in pN0/molN0 patients (P < 0.001). On multivariable Cox regression analysis, molecular LN status [HR 4.1 (95% CI, 1.9–8.8), P < 0.001] but not histopathologic LN status [HR 1.5 (95% CI, 0.8–3.0), P = 0.198] was confirmed as independent predictor of biochemical recurrence.

Conclusions: Molecular LN analysis identified pN0 patients with a high risk of biochemical recurrence and provided superior prognostic information in comparison with histopathology alone. Clin Cancer Res; 24(10); 2342–9. ©2018 AACR.

Translational Relevance

This is the first prospective trial comparing molecular lymph node (LN) analysis with histopathology for detection of LN metastasis in prostate cancer patients undergoing radical prostatectomy with extended pelvic LN dissection. For molecular detection of LN metastasis, we used a novel, validated method quantifying prostate-specific expression of Kallikrein 3 (KLK3) transcripts from fresh frozen LN specimens. Our study indicates that molecular compared with histopathologic LN status provides higher detection rates translating into better prediction of biochemical recurrence. Molecular LN analysis confirmed elevated KLK3 expression in all pN1-patients and reclassified one third of patients as node-positive despite negative histopathology. Molecular detection of LN metastasis was associated with a high risk of biochemical recurrence and was a better predictor of biochemical recurrence than histopathology. Thus, molecular LN analysis might be applicable as a powerful prognostic tool to guide further adjuvant treatment such as postoperative pelvic radiation therapy of the lymphatic draining sites.

Prostate cancer is the most common cancer and the second to third leading cause of cancer death in American and European men (1–4). In patients treated with radical prostatectomy (RP) for localized prostate cancer evidence of lymph node (LN) metastasis poses a major prognostic factor of tumor recurrence as well as mortality (5, 6) and guides further treatment. In men with node-positive prostate cancer, early adjuvant androgen-deprivation therapy (ADT) improves cancer-specific survival (7). Moreover, adjuvant pelvic radiation therapy (RT) combined with ADT appears to have a beneficial impact on cancer-specific survival in men with limited pelvic LN involvement (8).

However, a substantial proportion of patients with node-negative prostate cancer suffer from tumor recurrence within a few years after surgery (9). This may result from metastases that remain undetected by standard examinations at the time of RP. Optimizing staging in prostate cancer patients undergoing RP is therefore of crucial interest.

Despite recent advances with novel imaging techniques, the gold standard for LN staging at RP is still a pelvic LN dissection (PLND), as all imaging techniques eventually miss small metastases (10–12). Herein, two factors are essential to correctly stage pelvic LNs. An extended PLND (ePLND) respecting the main lymphatic drainage sites of the prostate including the obturator, external, internal, and common iliac region is demanded in patients with elevated risk for LN metastasis (13, 14). Moreover, the detection rate of LN metastasis varies considerably according to the applied method for examination of the dissected lymphatic tissue. In comparison with standard histopathology and immunohistochemistry, molecular LN analysis using polymerase chain reaction (PCR) for the detection of cancer-enhanced transcripts shows the highest sensitivity for detection of LN metastases in prostate cancer and other solid tumors (14–20). We recently described a novel validated method for molecular LN analysis quantifying prostate-specific expression of Kallikrein 3 (KLK3) from fresh frozen LN specimens showing high sensitivity, specificity, and reproducibility (14). This approach might improve the identification of patients with high risk of tumor recurrence and guide adjuvant treatment. However, the prognostic role of molecularly detected small tumor cell deposits in LNs has not been clarified and is unknown in prostate cancer patients treated with RP and ePLND.

Consequently, we undertook a prospective trial to assess the prognostic impact of molecular LN analysis on biochemical recurrence in comparison with standard histopathology for detection of LN metastasis in prostate cancer patients undergoing RP with ePLND.

The present study was approved by the local ethics committee (ID 2607/09) and conducted in accordance with the Declaration of Helsinki. All patients signed review board–approved consent before participation. Between February 2010 and February 2013, LN specimens were obtained from 111 prospectively enrolled patients who underwent open RP and ePLND for intermediate or high-risk prostate cancer (Gleason score at biopsy ≥7 or PSA ≥10 ng/mL or clinical tumor extension ≥cT2b; ref. 21) at our institution. Exclusion criteria for study participation were presence of a second malignant tumor, previous pelvic radiation or ADT, acute or chronic infectious disease, and severe cardiopulmonary, renal, hepatic or hematopoietic disease.

RP and ePLND were performed according to a predefined template including bilateral, separate dissection of the obturator fossa, external iliac, internal iliac, and common iliac vessels (14). Distally, ePLND was limited by the femoral canal and proximally by the aortic bifurcation.

Perioperatively, LNs with a size ≥3 to 20 mm were bisected. One half and the lateral edge of the second half were formalin fixed and stained with hematoxylin and eosin (H&E) for histopathologic examination (pN0 or pN1). The remainder of the same LN was snap frozen within 30 minutes after removal and stored at −80°C for later RNA extraction. LNs with a size >20 mm were bisected, and resulting two pieces were examined like singular LNs <20 mm. LNs with a size <3 mm were only assessed by histopathology as tissue was insufficient for examination by both techniques. Standard histopathology comprised one section per 5 mm of LN tissue.

qPCR assay

For molecular LN analysis, we used an analytically validated quantitative PCR (qPCR) assay established by our group (14). Briefly, LNs were homogenized and lysed for RNA extraction and complementary DNA (cDNA) was generated. We used commercially available Taqman probe and primer sets for detection of the prostate-specific antigen (PSA) transcript KLK3 and normalized qPCR results to endogenous reference gene expression of HPRT1 and UBC (Applied Biosystems) in relation to a calibrator sample [10 LNCaP cells spiked in 106 peripheral blood mononuclear cells (PBMC) with a given relative gene expression of 1.0] using the ΔΔCT method. The sensitivity of the applied assay in serial dilutions was the detection of 1 LNCaP cell or 10 KLK3 copy numbers in 106 PBMCs. The intra-assay and interassay coefficient of variation was <10% for all qPCR results, including LNCaP cell dilutions down to one single cell.

As control, 143 LNs from 25 male bladder cancer patients treated with cystoprostatectomy and histopathologic exclusion of prostate cancer were analyzed to determine a threshold for physiologic KLK3 expression. These LNs were assessed as negative by histopathology and qPCR for cytokeratin 20 expression in order to exclude bladder cancer metastasis.

Endpoints and follow-up

We prospectively compared molecular analysis and histopathology to determine LN status in intermediate- and high-risk prostate cancer patients undergoing RP with ePLND. Previous results of this trial focusing on pelvic topography of LN metastases have been reported recently by our group (14). Here, we present follow-up data in an extended cohort assessing the association between LN status and biochemical recurrence. Results are reported in compliance with REMARK guidelines (22).

Follow-up information on the PSA level and further prostate cancer treatment was determined every 3 months in the first year following RP, every 6 months in the second year, and every 12 months thereafter. A confirmed postoperative PSA value of >0.2 ng/mL was considered as biochemical recurrence. Adjuvant radiotherapy and/or ADT after RP was administered based on histopathology results and defined as postoperative treatment without evidence of biochemical recurrence. All treating physicians were blinded to molecular LN results.

Statistical analysis

Data were analyzed using IBM SPSS Statistics version 24.0 and the statistical software package R (23). A threshold for molecular results (molN0 or molN1) was calculated identifying 99% of histopathologic true-negative LNs with a 99% level of confidence by using the R-package “tolerance” for estimating tolerance intervals based on a gamma distribution of KLK3 expression (24, 25). The Kruskal–Wallis test was applied to assess the association of LN status with clinical variables. The Spearman correlation coefficient rho was used to assess presence and magnitude of monotonous trends between the level of evidence of LN metastases (pN0/molN0<pN0/molN1<pN1/molN1) and ordinal clinical risk factors. Kaplan–Meier curves with log-rank statistics as well as univariable and multivariable Cox proportional hazard regression analyses were used to assess the association between LN status and bRFS. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated. Robust variance estimators were used to account for the clustered nature of the data (multiple LNs per patient). All statistical tests were performed two-sided, and a P value of <0.05 was considered statistically significant.

Threshold for background KLK3 expression in LNs at molecular analysis

Based on the control group we calculated a threshold of 1.47 for physiologic KLK3 expression in molecular negative (molN0) LNs versus pathologic KLK3 expression in molecular positive (molN1) LNs. Accordingly, patients were classified as negative for LN metastasis (pN0/molN0), positive exclusively by molecular examination (pN0/molN1), or positive by histopathologic and molecular examination (pN1/molN1; Supplementary Fig. S1).

Patient and LN characteristics

Patient characteristics are given in Table 1. The mean age of patients was 66 years. Preoperatively, 29% of patients were diagnosed with intermediate and 71% of patients with high-risk prostate cancer.

Table 1.

Preoperative patient characteristics

Age, years (n = 111)  
 Mean (median) 66 (67) 
 Interquartile range (range) 61–71 (44–82) 
 Number of patients (%) 
  <65 43 (39) 
  65–75 61 (55) 
  >75 7 (6) 
PSA, ng/mL (n = 111) 
 Mean (median) 22 (11) 
 Interquartile range (range) 7–22 (1–367) 
 Number of patients (%) 
  <10 51 (46) 
  10–20 31 (28) 
  >20 29 (26) 
Gleason score at prostate biopsy (n = 111) 
 Mean (median) 8 (8) 
 Interquartile range (range) 7–9 (6–10) 
 Number of patients (%) 
  6 8 (7) 
  7 45 (41) 
  8–10 58 (52) 
Number of cores taken at prostate biopsy (n = 111) 
 Mean (median) 10 (10) 
 Interquartile range (range) 10–12 (2–16) 
Prostate biopsy density, % (n = 111) 
 Mean (median) 57 (50) 
 Interquartile range (range) 33–80 (8–100) 
Clinical tumor stage, number of patients (%; n = 111) 
 cT1c-2a 52 (47) 
 cT2b-c 57 (51) 
 cT3a-b 2 (2) 
D'Amico risk group, number of patients (%; n = 111) 
 Intermediate risk 32 (29) 
 High risk 79 (71) 
Age, years (n = 111)  
 Mean (median) 66 (67) 
 Interquartile range (range) 61–71 (44–82) 
 Number of patients (%) 
  <65 43 (39) 
  65–75 61 (55) 
  >75 7 (6) 
PSA, ng/mL (n = 111) 
 Mean (median) 22 (11) 
 Interquartile range (range) 7–22 (1–367) 
 Number of patients (%) 
  <10 51 (46) 
  10–20 31 (28) 
  >20 29 (26) 
Gleason score at prostate biopsy (n = 111) 
 Mean (median) 8 (8) 
 Interquartile range (range) 7–9 (6–10) 
 Number of patients (%) 
  6 8 (7) 
  7 45 (41) 
  8–10 58 (52) 
Number of cores taken at prostate biopsy (n = 111) 
 Mean (median) 10 (10) 
 Interquartile range (range) 10–12 (2–16) 
Prostate biopsy density, % (n = 111) 
 Mean (median) 57 (50) 
 Interquartile range (range) 33–80 (8–100) 
Clinical tumor stage, number of patients (%; n = 111) 
 cT1c-2a 52 (47) 
 cT2b-c 57 (51) 
 cT3a-b 2 (2) 
D'Amico risk group, number of patients (%; n = 111) 
 Intermediate risk 32 (29) 
 High risk 79 (71) 

In total, 3,173 LNs in 111 patients (median 27 LNs/patient; range, 9–78) were dissected, of which 2,411 LNs had a diameter ≥3 mm and were analyzed by both standard histopathology and qPCR (median 21 LNs/patient; range, 6–48; Fig. 1).

Figure 1.

Flow chart depicting the classification of LNs and patients according to histopathologic (pN0 vs. pN1) and molecular (molN0 vs. molN1) LN examination. *Three of 762 (0.4%) LNs with a size <3 mm, which were analyzed only by histopathology, harbored additional micrometastases. They were present in 3 patients who were staged as pN1/molN1 due to positive results in LNs ≥3 mm.

Figure 1.

Flow chart depicting the classification of LNs and patients according to histopathologic (pN0 vs. pN1) and molecular (molN0 vs. molN1) LN examination. *Three of 762 (0.4%) LNs with a size <3 mm, which were analyzed only by histopathology, harbored additional micrometastases. They were present in 3 patients who were staged as pN1/molN1 due to positive results in LNs ≥3 mm.

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Of 111 patients, 28 (25%) had histopathologic and molecular positive LNs (pN1/molN1), 32 (29%) had histopathologic negative but molecular positive LNs (pN0/molN1), and 51 (46%) had histopathologic and molecular negative LNs (pN0/molN0). Thus, a total of 60 (54%) patients had node-positive disease by molecular analysis. Notably, no patient was positive by histopathologic but negative by molecular LN examination (pN1/molN0).

Of 2411 LNs analyzed by histopathology and molecular analysis, 65 (2.7%) were positive by histopathologic and molecular analysis, 3 (0.1%) were positive by histopathologic but negative by molecular analysis, 224 (9.3%) were negative by histopathologic but positive by molecular analysis, and the remaining 2119 (87.9%) LNs were negative by both methods. The three histopathologic positive but molecular negative LNs were present in patients with other molecular positive LNs and therefore there were no patients staged as pN1/molN0.

The number of LNs that were positive by molecular but negative by histopathologic analysis was more frequent in pN1/molN1 patients (n = 148, median 4; range, 0–21) than in pN0/molN1 patients (n = 76, median 2; range, 1–8).

Association of LN status with established prognostic risk factors

A statistically significant association of LN status (pN0/molN0 vs. pN0/molN1 vs. pN1/molN1) was observed with preoperative risk group according to D´Amico classification, preoperative PSA level, prostate biopsy density, pathologic tumor extension, and Gleason score at RP (Table 2). These variables were most favorable in patients without LN metastases (pN0/molN0) and most unfavorable in patients with histopathologic and molecular LN metastases (pN1/molN1), while patients with exclusively molecular LN metastases (pN0/molN1) exhibited intermediate features. This correlation (pN0/molN0<pN0/molN1<pN1/molN1) was strongest for pathologic tumor extension (Spearman rho +0.53), followed by prostate biopsy density (Spearman rho +0.47), preoperative PSA level (Spearman rho +0.38), Gleason score at RP (Spearman rho +0.32), and D'Amico risk group (Spearman rho +0.23).

Table 2.

Association of established prognostic risk factors with LN status

Association of established prognostic risk factors with LN status
Association of established prognostic risk factors with LN status

Association of LN status with biochemical recurrence

Combination of molecular and histopathologic LN status.

At a median follow-up of 48 months [interquartile range (IQR), 36–60] 52/111 (47%) patients developed biochemical recurrence, 11/51 (22%) patients with negative LNs (pN0/molN0), 21/32 (66%) patients harboring only molecular LN metastasis (pN0/molN1), and 20/28 (71%) patients with histopathologic and molecular LN metastasis (pN1/molN1). As shown in the Kaplan–Meier curves, a positive molecular LN examination despite negative histopathology (pN0/molN1) identified patients with an elevated risk for biochemical recurrence (Fig. 2A). Median biochemical recurrence-free survival (bRFS) was 9 months (95% CI, 0.0–20.1) in patients with histopathologic and molecular LN metastases (pN1/molN1), 24 months (95% CI, 1.7–46.3) in patients with only molecular LN metastases (pN0/molN1) and not reached in patients without LN metastases (pN0/molN0; log-rank test P < 0.001). In a multivariable Cox regression analysis, pN0/molN1 status [HR 4.1 (95% CI, 1.9–8.8)] and pN1/molN1 status [HR 6.3 (95% CI, 2.7–14.7)] showed a strong association with biochemical recurrence independent of clinically established risk factors including preoperative PSA level, postoperative tumor extension, Gleason score, and surgical margin status as well as adjuvant ADT or radiation therapy (Table 3A).

Figure 2.

Kaplan–Meier curve for bRFS following radical prostatectomy according to the presence of LN metastases detected by histopathology and molecular analysis (A), histopathology alone (B), or molecular analysis alone (C). A, The 2-year and 5-year bRFS rate was 84% and 76% in pN0/molN0-patients, respectively, 50% and 24% in pN0/molN1-patients, respectively, and 42% and 0% in pN1/molN1 patients, respectively. B, The 2-year and 5-year bRFS rate was 71% and 54% in pN0 patients, respectively, and 42% and 0% in pN1 patients, respectively. C, The 2-year and 5-year bRFS rate was 84% and 76% in molN0 patients, respectively, and 46% and 18% in molN1 patients, respectively.

Figure 2.

Kaplan–Meier curve for bRFS following radical prostatectomy according to the presence of LN metastases detected by histopathology and molecular analysis (A), histopathology alone (B), or molecular analysis alone (C). A, The 2-year and 5-year bRFS rate was 84% and 76% in pN0/molN0-patients, respectively, 50% and 24% in pN0/molN1-patients, respectively, and 42% and 0% in pN1/molN1 patients, respectively. B, The 2-year and 5-year bRFS rate was 71% and 54% in pN0 patients, respectively, and 42% and 0% in pN1 patients, respectively. C, The 2-year and 5-year bRFS rate was 84% and 76% in molN0 patients, respectively, and 46% and 18% in molN1 patients, respectively.

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Table 3.

Multivariable analysis for the association with biochemical recurrence including (A) a combination of histopathologic with molecular LN status, (B) separate evaluation of histopathologic LN status and molecular LN status as categorical variable, and (C) separate evaluation of histopathologic LN status and molecular LN status as continuous variable using the logarithmic maximum KLK3 expression in LNs per patient

VariablesCategoryNHR (95% CI)P
A Lymph node status pN1/molN1 vs. pN0/molN0 28 vs. 51 6.3 (2.7–14.7) <0.001 
  pN0/molN1 vs. pN0/molN0 32 vs. 51 4.1 (1.9–8.8) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.1) 0.409 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.4 (0.7–2.8) 0.397 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.2 (0.6–2.1) 0.656 
 Margin status at RP R1 vs. R0 23 vs. 88 2.3 (1.1–4.8) 0.021 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.3 (0.1–0.9) 0.038 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.4 (0.2–0.8) 0.012 
B Lymph node status pN1 vs. pN0 28 vs. 83 1.5 (0.8–3.0) 0.198 
  molN1 vs. molN0 60 vs. 51 4.1 (1.9–8.8) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.0) 0.409 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.4 (0.7–2.8) 0.397 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.2 (0.6–2.1) 0.656 
 Margin status at RP R1 vs. R0 23 vs. 88 2.3 (1.1–4.8) 0.021 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.3 (0.1–0.9) 0.038 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.4 (0.2–0.8) 0.012 
C Lymph node status pN1 vs. pN0 28 vs. 83 1.2 (0.6–2.5) 0.659 
  Continuous (Log10 (Maximum KLK3 expression in LNs per patient + 1)) 111 1.4 (1.2–1.7) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.1) 0.718 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.3 (0.7–2.7) 0.423 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.0 (0.5–1.9) 0.979 
 Margin status at RP R1 vs. R0 23 vs. 88 1.8 (0.9–3.7) 0.092 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.2 (0.1–0.7) 0.009 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.5 (0.2–1.0) 0.053 
VariablesCategoryNHR (95% CI)P
A Lymph node status pN1/molN1 vs. pN0/molN0 28 vs. 51 6.3 (2.7–14.7) <0.001 
  pN0/molN1 vs. pN0/molN0 32 vs. 51 4.1 (1.9–8.8) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.1) 0.409 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.4 (0.7–2.8) 0.397 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.2 (0.6–2.1) 0.656 
 Margin status at RP R1 vs. R0 23 vs. 88 2.3 (1.1–4.8) 0.021 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.3 (0.1–0.9) 0.038 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.4 (0.2–0.8) 0.012 
B Lymph node status pN1 vs. pN0 28 vs. 83 1.5 (0.8–3.0) 0.198 
  molN1 vs. molN0 60 vs. 51 4.1 (1.9–8.8) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.0) 0.409 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.4 (0.7–2.8) 0.397 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.2 (0.6–2.1) 0.656 
 Margin status at RP R1 vs. R0 23 vs. 88 2.3 (1.1–4.8) 0.021 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.3 (0.1–0.9) 0.038 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.4 (0.2–0.8) 0.012 
C Lymph node status pN1 vs. pN0 28 vs. 83 1.2 (0.6–2.5) 0.659 
  Continuous (Log10 (Maximum KLK3 expression in LNs per patient + 1)) 111 1.4 (1.2–1.7) <0.001 
 Preoperative PSA level Continuous (per 10 ng/mL increase) 111 1.0 (0.9–1.1) 0.718 
 Tumor extension at RP pT3 or pT4 vs. pT2 66 vs. 45 1.3 (0.7–2.7) 0.423 
 Gleason score at RP 8, 9 or 10 vs. 6 or 7 37 vs. 74 1.0 (0.5–1.9) 0.979 
 Margin status at RP R1 vs. R0 23 vs. 88 1.8 (0.9–3.7) 0.092 
 Adjuvant ADT Yes vs. no 9 vs. 102 0.2 (0.1–0.7) 0.009 
 Adjuvant radiotherapy Yes vs. no 20 vs. 91 0.5 (0.2–1.0) 0.053 

Abbreviations: ADT, androgen deprivation therapy; RP, radical prostatectomy; significant P values are marked in bold.

Comparison of molecular and histopathologic LN status.

Next, we compared both LN sampling methods for prediction of biochemical recurrence. According to histopathology alone, median bRFS was 9 months (95% CI, 0.0–20.1) in 28 of 111 (25%) pN1-patients and was not reached in 83 of 111 (75%) pN0 patients (log-rank test P < 0.001; Fig. 2B). According to molecular LN analysis alone, median bRFS was 24 months (95% CI, 0.0–49.2) in 60/111 (54%) molN1 patients and was not reached in 51 of 111 (36%) molN0 patients (log-rank test P < 0.001; Fig. 2C). As displayed in their respective Kaplan–Meier curves, molecular LN status stratified patients better according to their risk of biochemical recurrence than histopathologic LN status. In a multivariable Cox regression analysis including both methods, molecular LN status [HR 4.1 (95% CI, 1.9–8.8), P < 0.001] but not histopathologic LN status [HR 1.5 (95% CI, 0.8–3.0), P = 0.198] was confirmed as an independent predictor of biochemical recurrence (Table 3B).

As adjuvant treatment may represent a bias here, we repeated this analysis omitting 7 patients with adjuvant treatment for pN1 disease from the model (ADT (n = 4), adjuvant radiation of the prostatic fossa including the pelvic lymphatic draining sites (n = 2) or both (n = 1; Supplementary Fig. S2). Consistently molecular but not histopathologic LN status was confirmed as an independent predictor of biochemical recurrence (P = 0.001 vs. P = 0.144; Supplementary Table S1A).

The superiority of molecular LN status for prediction of biochemical recurrence was confirmed when including the logarithmic maximum KLK3 expression in LNs as continuous variable in Cox regression models. Thus, molecular but not histopathologic LN status could be confirmed as independent prognostic factor of biochemical recurrence in the overall study cohort (P < 0.001 vs. P = 0.659; Table 3C) and the subgroup excluding patients with adjuvant treatment for pN1 disease (P < 0.001 vs. P = 0.401; Supplementary Table S1B).

Impact of extent of pelvic LN dissection on LN status and prediction of biochemical recurrence

In addition, we assessed the influence of extent of PLND on the detection rate of LN metastasis and the corresponding association with biochemical recurrence. Herein, analysis of LNs of the full ePLND template including obturator, external, internal, and common iliac region led to the highest detection rate of LN-positive patients translating into improved prediction of biochemical recurrence (Table 4). In contrast, analysis of more limited PLND templates (obturator vs. obturator + external iliac vs. obturator + external + internal iliac region) was associated with lower detection rates of LN metastasis and worse prognostic patient stratification.

Table 4.

Detection of patients with positive LNs and association with biochemical recurrence based on anatomic extent of LN dissection and type of LN analysis (histopathology alone, histopathology combined with additional molecular analysis, or molecular analysis alone)

Patients detected with positive LNs by
Histopathology aloneHistopathology and additional molecular analysisMolecular analysis alone
Association with biochemical recurrenceAssociation with biochemical recurrenceAssociation with biochemical recurrence
Extent of LN dissectionN (%)HR (95%CI)PN (%)HR (95%CI)PN (%)HR (95%CI)P
Obturatoric 19 (17) 2.4 (1.3–4.5) 0.01 41 (37) 3.0 (1.7–5.3) <0.001 40 (36) 3.2 (1.9–5.6) <0.001 
Obturatoric + external iliac 26 (23) 2.7 (1.5–4.8) 0.001 52 (47) 3.3 (1.8–5.8) <0.001 52 (47) 3.3 (1.8–5.8) <0.001 
Obturatoric + external + internal iliac 27 (24) 2.8 (1.6–5.1) <0.001 56 (50) 4.2 (2.2–7.9) <0.001 56 (50) 4.2 (2.2–7.9) <0.001 
Obturatoric + external + internal + common iliac 28 (25) 2.8 (1.6–5.0) <0.001 60 (54) 4.3 (2.2–8.5) <0.001 60 (54) 4.3 (2.2–8.5) <0.001 
Patients detected with positive LNs by
Histopathology aloneHistopathology and additional molecular analysisMolecular analysis alone
Association with biochemical recurrenceAssociation with biochemical recurrenceAssociation with biochemical recurrence
Extent of LN dissectionN (%)HR (95%CI)PN (%)HR (95%CI)PN (%)HR (95%CI)P
Obturatoric 19 (17) 2.4 (1.3–4.5) 0.01 41 (37) 3.0 (1.7–5.3) <0.001 40 (36) 3.2 (1.9–5.6) <0.001 
Obturatoric + external iliac 26 (23) 2.7 (1.5–4.8) 0.001 52 (47) 3.3 (1.8–5.8) <0.001 52 (47) 3.3 (1.8–5.8) <0.001 
Obturatoric + external + internal iliac 27 (24) 2.8 (1.6–5.1) <0.001 56 (50) 4.2 (2.2–7.9) <0.001 56 (50) 4.2 (2.2–7.9) <0.001 
Obturatoric + external + internal + common iliac 28 (25) 2.8 (1.6–5.0) <0.001 60 (54) 4.3 (2.2–8.5) <0.001 60 (54) 4.3 (2.2–8.5) <0.001 

Diagnostic and prognostic information was most enhanced when ePLND was combined with molecular LN analysis as compared with histopathology.

This is the first prospective trial comparing molecular LN examination in comparison with histopathology to detect LN metastasis in prostate cancer patients undergoing RP with ePLND with the aim to assess their association with biochemical recurrence. With a median of 27 dissected LNs per patient, a meticulous template ePLND was performed, which confidently surpassed the yield of at least 20 LNs for an adequate ePLND as postulated by Weingärtner and colleagues (26). In addition to 25% of patients with a positive histopathologic and molecular LN examination (pN1/molN1), molecular analysis identified 29% of patients harboring LN metastases despite negative histopathology (pN0/molN1). Both pN0/molN1 status and pN1/molN1 status were associated with shorter bRFS compared with patients with negative LNs (pN0/molN0) and predicted biochemical recurrence independent of established risk factors on multivariable analysis. Importantly, at comparison of both LN sampling methods on multivariable analysis, only molecular LN status (molN0 vs. molN1) but not histopathologic LN status (pN0 vs. pN1) remained an independent predictor of bRFS. The superiority of molecular LN analysis compared with histopathology was consistently observed in a multivariable analysis replacing categorical (molN0 vs. molN1) with continuous data of KLK3 expression in LNs. In addition, our results underline the necessity to perform a meticulous ePLND including obturator fossa, external, internal, and common iliac region in order to improve the detection of LN-positive patients and gain maximum prognostic information on risk of biochemical recurrence. Taken together, our results emphasize the risk of missing prognostically relevant pelvic LN metastases by standard histopathology and highlight the higher sensitivity of the qPCR-based molecular detection method in combination with ePLND translating into improved prognostic patient stratification. Thus, our data strongly support and extend two earlier prospective studies that reported molecular detection of metastases in histopathologic negative LNs as an independent prognostic marker of biochemical recurrence following RP or radiotherapy for localized prostate cancer (19, 20).

As a limitation of standard histopathology, small-volume metastases can be missed due to a sampling error on nodal slicing, or they may simply be missed on microscopic examination. A higher detection rate of LN metastases using histopathology can be achieved by step sectioning of LN tissue or application of immunohistochemistry. However, these methods, in addition to standard histopathology for LN examination, have been considered too time-consuming and expensive when compared against the diagnostic gain (27, 28). Moreover, in a retrospective analysis of prostate cancer patients treated with RP immunohistochemistry exhibited inferior sensitivity in comparison with molecular analysis for detection of LN metastasis (18).

As a main limitation of molecular LN analysis, morphologic information such as size of LN metastasis and capsular perforation cannot be determined. However, the qPCR-based method counteracts disadvantages of histopathology and provides higher detection rates by analyzing the LN specimen in toto. The method is based on previous tissue homogenization and subsequent automated observer-independent quantification of tumor cell–specific transcripts. Thus, it facilitates the capture of single tumor cells in one LN sample translating into early detection of lymphogenic tumor cell dissemination. This advantage is reflected in our data as molecular LN analysis detected pelvic metastatic disease at an earlier clinical stage than standard histopathology. At comparison with established clinicopathologic risk factors, patients without LN metastases had the most favorable, patients with only molecular positive LNs exhibited intermediate, and patients with histopathologic and molecular positive LNs showed the most unfavorable features.

Differences in three LNs staged as histopathologic positive but molecular negative might be due to the bisection of LNs. Of two LN halves, each half was examined only by one of both techniques. Therefore, small-volume metastases that were present only in one half of the LN might only have been detectable by one of both methods, an argument that also applies to LNs staged as histopathologic negative but molecular positive.

With emerging data emphasizing the importance of adjuvant treatment in LN-positive prostate cancer after RP, optimized staging methods for detection of LN metastasis will gain importance. In addition to a thorough ePLND, molecular LN analysis in patients treated with RP could become a powerful prognostic tool to guide further adjuvant treatment. Messing and colleagues were the first to report a benefit in progression-free, overall, and disease-specific survival in pN+ prostate cancer patients treated with adjuvant ADT after RP as compared with deferred ADT at clinical progression in a prospective, randomized trial (7). Certainly, the results of this trial are limited because of small sample size, with only 98 patients included, and because the trial was performed in the pre-PSA era. Nevertheless, recently Abdollah and colleagues reported in a contemporary cohort with over 1,100 patients a benefit in cancer-specific and overall survival of combined adjuvant ADT and pelvic radiotherapy for prostate cancer patients with limited nodal involvement after RP and ePLND (8). As the benefit from adjuvant treatment was clearly more apparent in patients with limited nodal involvement, the high sensitivity of molecular LN analysis with early detection of lymphogenic tumor cell dissemination might further improve patient stratification. A randomized controlled trial initiated by the German Associations of Radiologic Oncology and Urologic Oncology will further address the clinical benefit of adjuvant radiotherapy after RP targeting the pelvic lymphatic draining sites in patients with limited nodal involvement defined as histopathologic evidence of LN micrometastasis and up to two LN metastases (ART-2 study; EudraCT 2012-004322-24). Concordantly, a randomized-controlled trial including molecular LN analysis as a trigger of adjuvant pelvic RT could further elucidate the clinical utility of our approach.

An ePLND is recommended in European Urology guidelines for patients with elevated risk of LN involvement (13), and its diagnostic role is fully supported by this trial. In contrast, an ePLND is not a standard approach in the United States due to concerns about morbidity and lack of prospective data about improvement of outcome. If improved identification of node-positive disease by ePLND will actually lead to improved survival via selection of patients for adjuvant therapy in prospective trials, these data would further support implementation of an ePLND as a standard approach.

In prostate cancer patients treated with RP and ePLND molecular LN analysis provided a higher detection rate of clinically relevant LN metastases than standard histopathology identifying pN0 patients, who are at a high risk for biochemical recurrence. Moreover, molecular compared with histopathologic LN status stratified patients better according to their risk of biochemical recurrence. Thus, molecular analysis for the detection of LN metastasis improves the identification of patients who are at high risk for biochemical recurrence and might be applicable as a prognostic tool for guidance of adjuvant treatment decisions.

No potential conflicts of interest were disclosed.

Conception and design: M.M. Heck, M. Retz, R. Nawroth

Development of methodology: M.M. Heck, M. Retz, R. Nawroth

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): M.M. Heck, M. Bandur, M. Souchay, E. Vitzthum, G. Weirich, M. Autenrieth, H. Kübler, T. Maurer, M. Thalgott, K. Herkommer, J.E. Gschwend

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M.M. Heck, T. Schuster

Writing, review, and/or revision of the manuscript: M.M. Heck, M. Retz, M. Bandur, M. Souchay, E. Vitzthum, G. Weirich, T. Schuster, M. Autenrieth, H. Kübler, T. Maurer, M. Thalgott, K. Herkommer, J.E. Gschwend, R. Nawroth

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): M.M. Heck, R. Nawroth

Study supervision: M.M. Heck, R. Nawroth

We thank Monika Moissl for her support in the laboratory with molecular LN analysis. This work was funded by the German Wilhelm-Sander Foundation (grant no. 2010.011.1; M.M. Heck, M. Retz, and R. Nawroth) and the Reinhard-Nagel Foundation (M.M. Heck) of the German Association of Urology.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Kaatsch
P
,
Spix
C
,
Hentschel
S
,
Katalinic
A
,
Luttmann
S
,
Stegmaier
C
, et al
Cancer in Germany 2009/2010
. 9 ed.
Berlin
:
Robert Koch Institute and the Association of Epidemiologic Cancer Registries in Germany
; 
2013
.
2.
Ferlay
J
,
Steliarova-Foucher
E
,
Lortet-Tieulent
J
,
Rosso
S
,
Coebergh
JW
,
Comber
H
, et al
Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012
.
Eur J Cancer
2013
;
49
:
1374
403
.
3.
Arnold
M
,
Karim-Kos
HE
,
Coebergh
JW
,
Byrnes
G
,
Antilla
A
,
Ferlay
J
, et al
Recent trends in incidence of five common cancers in 26 European countries since 1988: Analysis of the European Cancer Observatory
.
Eur J Cancer
2015
;
51
:
1164
87
.
4.
American Cancer Society
.
Available at
: http://www.cancer.org/cancer/prostatecancer/detailedguide/prostate-cancer-key-statistics.
Accessed
December 5, 2017
.
5.
Cheng
L
,
Zincke
H
,
Blute
ML
,
Bergstralh
EJ
,
Scherer
B
,
Bostwick
DG
. 
Risk of prostate carcinoma death in patients with lymph node metastasis
.
Cancer
2001
;
91
:
66
73
.
6.
Briganti
A
,
Karnes
JR
,
Da Pozzo
LF
,
Cozzarini
C
,
Gallina
A
,
Suardi
N
, et al
Two positive nodes represent a significant cut-off value for cancer specific survival in patients with node positive prostate cancer. A new proposal based on a two-institution experience on 703 consecutive N+ patients treated with radical prostatectomy, extended pelvic lymph node dissection and adjuvant therapy
.
Eur Urol
2009
;
55
:
261
70
.
7.
Messing
EM
,
Manola
J
,
Yao
J
,
Kiernan
M
,
Crawford
D
,
Wilding
G
, et al
Immediate versus deferred androgen deprivation treatment in patients with node-positive prostate cancer after radical prostatectomy and pelvic lymphadenectomy
.
Lancet Oncol
2006
;
7
:
472
9
.
8.
Abdollah
F
,
Karnes
RJ
,
Suardi
N
,
Cozzarini
C
,
Gandaglia
G
,
Fossati
N
, et al
Impact of adjuvant radiotherapy on survival of patients with node-positive prostate cancer
.
J Clin Oncol
2014
;
32
:
3939
47
.
9.
Epstein
JI
,
Partin
AW
,
Sauvageot
J
,
Walsh
PC
. 
Prediction of progression following radical prostatectomy. A multivariate analysis of 721 men with long-term follow-up
.
Am J Surg Pathol
1996
;
20
:
286
92
.
10.
Maurer
T
,
Gschwend
JE
,
Rauscher
I
,
Souvatzoglou
M
,
Haller
B
,
Weirich
G
, et al
Diagnostic efficacy of (68)Gallium-PSMA-PET compared to conventional imaging in lymph node staging of 130 consecutive patients with intermediate to high-risk prostate cancer
.
J Urol
2016
;
195
:
1436
43
.
11.
Jilg
CA
,
Drendel
V
,
Rischke
HC
,
Beck
T
,
Vach
W
,
Schaal
K
, et al
Diagnostic accuracy of Ga-68-HBED-CC-PSMA-Ligand-PET/CT before salvage lymph node dissection for recurrent prostate cancer
.
Theranostics
2017
;
7
:
1770
80
.
12.
Budäus
L
,
Leyh-Bannurah
S-R
,
Salomon
G
,
Michl
U
,
Heinzer
H
,
Huland
H
, et al
Initial experience of (68)Ga-PSMA PET/CT imaging in high-risk prostate cancer patients prior to radical prostatectomy
.
Eur Urol
2016
;
69
:
393
6
.
13.
Mottet
N
,
Bellmunt
J
,
Bolla
M
,
Briers
E
,
Cumberbatch
MG
,
De Santis
M
, et al
EAU-ESTRO-SIOG guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent
.
Eur Urol
2017
;
71
:
618
29
.
14.
Heck
MM
,
Retz
M
,
Bandur
M
,
Souchay
M
,
Vitzthum
E
,
Weirich
G
, et al
Topography of lymph node metastases in prostate cancer patients undergoing radical prostatectomy and extended lymphadenectomy: results of a combined molecular and histopathologic mapping study
.
Eur Urol
2014
;
66
:
222
9
.
15.
Verbanac
KM
,
Min
CJ
,
Mannie
AE
,
Lu
J
,
O'Brien
KF
,
Rosman
M
, et al
Long-term follow-up study of a prospective multicenter sentinel node trial: molecular detection of breast cancer sentinel node metastases
.
Ann Surg Oncol
2010
;
17
Suppl 3
:
368
77
.
16.
Koyanagi
K
,
Bilchik
AJ
,
Saha
S
,
Turner
RR
,
Wiese
D
,
McCarter
M
, et al
Prognostic relevance of occult nodal micrometastases and circulating tumor cells in colorectal cancer in a prospective multicenter trial
.
Clin Cancer Res
2008
;
14
:
7391
6
.
17.
Cucuruz
B
,
Dango
S
,
Jurinovic
V
,
Mayer
O
,
Follo
M
,
Böhm
J
, et al
MAGE qPCR improves the sensitivity and accuracy of EBUS-TBNA for the detection of lymphatic cancer spread
.
J Thorac Oncol
2012
;
7
:
690
7
.
18.
Shariat
SF
,
Roudier
MP
,
Wilcox
GE
,
Kattan
MW
,
Scardino
PT
,
Vessella
RL
, et al
Comparison of immunohistochemistry with reverse transcription-PCR for the detection of micrometastatic prostate cancer in lymph nodes
.
Cancer Res
2003
;
63
:
4662
70
.
19.
Ferrari
AC
,
Stone
NN
,
Kurek
R
,
Mulligan
E
,
McGregor
R
,
Stock
R
, et al
Molecular load of pathologically occult metastases in pelvic lymph nodes is an independent prognostic marker of biochemical failure after localized prostate cancer treatment
.
J Clin Oncol
2006
;
24
:
3081
8
.
20.
Miyake
H
,
Hara
I
,
Kurahashi
T
,
Inoue
TA
,
Eto
H
,
Fujisawa
M
. 
Quantitative detection of micrometastases in pelvic lymph nodes in patients with clinically localized prostate cancer by real-time reverse transcriptase-PCR
.
Clin Cancer Res
2007
;
13
:
1192
7
.
21.
D'Amico
AV
,
Whittington
R
,
Malkowicz
SB
,
Schultz
D
,
Blank
K
,
Broderick
GA
, et al
Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer
.
JAMA
1998
;
280
:
969
74
.
22.
McShane
LM
,
Altman
DG
,
Sauerbrei
W
,
Taube
SE
,
Gion
M
,
Clark
GM
, et al
REporting recommendations for tumor MARKer prognostic studies (REMARK)
.
Breast Cancer Res Treat
2006
;
100
:
229
35
.
23.
Team RDC
. 
R: A language and environment for statistical computing
.
24.
Young
D
. 
An R package for estimating tolerance intervals
.
J Stat Softw
2010
;
36
:
1
.
25.
Krishnamoorthy
K
,
Mathew
T
,
Mukherjee
S
. 
Normal-based methods for a gamma distribution
.
Technometrics
2008
;
50
:
69
78
.
26.
Weingärtner
K
,
Ramaswamy
A
,
Bittinger
A
,
Gerharz
EW
,
Vöge
D
,
Riedmiller
H
. 
Anatomical basis for pelvic lymphadenectomy in prostate cancer: results of an autopsy study and implications for the clinic
.
J Urol
1996
;
156
:
1969
71
.
27.
Schilling
D
,
Hennenlotter
J
,
Gakis
G
,
Schwentner
C
,
Kuehs
U
,
Stenzl
A
, et al
Prospective assessment of histological serial sectioning of pelvic lymph nodes in prostate cancer: a cost-benefit analysis
.
BJU Int
2012
;
110
:
E166
71
.
28.
Wawroschek
F
,
Wagner
T
,
Hamm
M
,
Weckermann
D
,
Vogt
H
,
Märkl
B
, et al
The influence of serial sections, immunohistochemistry, and extension of pelvic lymph node dissection on the lymph node status in clinically localized prostate cancer
.
Eur Urol
2003
;
43
:
132
6
;
discussion 137
.