Nuclear KLLN expression associates with improved relapse-free survival for prostate carcinoma

in Endocrine-Related Cancer
Authors:
Yu WangGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Andres RomaGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Rosalie NolleyGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Fadi Abdul-KarimGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Donna M PeehlGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Charis EngGenomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA
Genomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA
Genomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA
Genomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA
Genomic Medicine Institute

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Urology, Stanford University School of Medicine, Stanford, California 94305, USA

Taussig Cancer Institute

Stanley Shalom Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio 44195, USA

Department of Genetics and Genome Sciences

CASE Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA

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Correspondence should be addressed to C Eng; Email: engc@ccf.org
Free access

Men with organ-confined prostate cancer (CaP) are often treated with radical prostatectomy. Despite similar postoperative characteristics, a significant proportion of men with an intermediate risk of progression experience prostate-specific antigen (PSA)-defined failure, while others have relapse-free survival (RFS). Additional prognostic markers are needed to predict the outcome of these patients. KLLN is a transcription factor that regulates the cell cycle and induces apoptosis in cancer cells. We have shown that KLLN is an androgen-regulated gene and that loss of KLLN expression in primary CaP is associated with high Gleason score. In this retrospective study, we evaluated KLLN expression in the high-grade malignancy components from 109 men with intermediate risk CaP. Patients with nuclear KLLN-negative tumors had significantly higher preoperative serum PSA levels (12.24±2.37 ng/ml) and larger tumor volumes (4.61±0.71 cm3) compared with nuclear KLLN-positive patients (8.35±2.45 ng/ml, P=0.03, and 2.66±0.51 cm3, P<0.0001, respectively). None of the nuclear KLLN-positive tumors had capsular penetration, whereas 34% of nuclear KLLN-negative tumors (P=0.004) had capsular penetration. Maintaining KLLN expression in tumor nuclei, but not in cytoplasm or stroma, associated with improved RFS after surgery (P=0.002). Only 7% of patients with nuclear KLLN-positive tumors had tumor recurrence, while 60% of patients in the KLLN-negative group developed PSA-defined failure with median relapse time of 6.6 months (P=0.0003). Our data suggest that KLLN expression may be used as a prognostic marker to predict outcome for intermediate risk patients, which could provide useful information for postoperative management.

Abstract

Men with organ-confined prostate cancer (CaP) are often treated with radical prostatectomy. Despite similar postoperative characteristics, a significant proportion of men with an intermediate risk of progression experience prostate-specific antigen (PSA)-defined failure, while others have relapse-free survival (RFS). Additional prognostic markers are needed to predict the outcome of these patients. KLLN is a transcription factor that regulates the cell cycle and induces apoptosis in cancer cells. We have shown that KLLN is an androgen-regulated gene and that loss of KLLN expression in primary CaP is associated with high Gleason score. In this retrospective study, we evaluated KLLN expression in the high-grade malignancy components from 109 men with intermediate risk CaP. Patients with nuclear KLLN-negative tumors had significantly higher preoperative serum PSA levels (12.24±2.37 ng/ml) and larger tumor volumes (4.61±0.71 cm3) compared with nuclear KLLN-positive patients (8.35±2.45 ng/ml, P=0.03, and 2.66±0.51 cm3, P<0.0001, respectively). None of the nuclear KLLN-positive tumors had capsular penetration, whereas 34% of nuclear KLLN-negative tumors (P=0.004) had capsular penetration. Maintaining KLLN expression in tumor nuclei, but not in cytoplasm or stroma, associated with improved RFS after surgery (P=0.002). Only 7% of patients with nuclear KLLN-positive tumors had tumor recurrence, while 60% of patients in the KLLN-negative group developed PSA-defined failure with median relapse time of 6.6 months (P=0.0003). Our data suggest that KLLN expression may be used as a prognostic marker to predict outcome for intermediate risk patients, which could provide useful information for postoperative management.

Introduction

Prostate cancer (CaP) was diagnosed in ∼239 000 men in the United States and accounted for more than 29 000 deaths in 2013 (Siegel et al. 2013). Most men diagnosed in the prostate-specific antigen (PSA) era have favorable disease characteristics and progression-free survival. Approximately, 35% of CaP patients have intermediate risk prostate cancer (IRPC) (D'Amico et al. 1998a, DeSantis et al. 2013). According to risk classification, the intermediate-risk group includes those with stage T2b–T2c tumors, PSA between 10 and 20 ng/ml, or Gleason score 7 (D'Amico et al. 1998b). After radical prostatectomy (RP), 65–80% of patients with IRPC had 5-year relapse-free survival (RFS) (D'Amico et al. 1998b,c,d, Meng et al. 2005, Park et al. 2005). In contrast, other IRPC patients with similar tumor characteristics have PSA-defined failure and metastasis after the same initial treatment, which uniformly lead to cancer-specific death. Currently, it remains a challenge to accurately predict oncologic outcomes for IRPC patients, especially for those with high Gleason grade lesions. Therefore, a reliable preoperative biomarker is urgently needed, which not only provides aggressive therapy for patients who will have recurrent tumor, but also prevents overtreatment in patients who do not relapse.

KLLN (KILLIN) is a newly identified gene located in 10q23.31 (Cho & Liang 2008). KLLN and tumor suppressor phosphatase and tensin homolog (PTEN) share the same promoter regions but are transcribed in the opposite direction (Cho & Liang 2008, Bennett et al. 2011). KLLN is a DNA-binding protein that regulates cell cycle and apoptosis in diverse types of cancer cells (Cho & Liang 2008, Wang et al. 2013a,b). Our previous studies have shown that KLLN functions as a tumor suppressor and transcription factor mainly localized to the cell nucleus (Wang et al. 2013a,b). In CaP cell lines, KLLN and androgen receptor (AR) negatively regulate each other at the transcriptional levels, resulting in a negative feedback loop (Wang et al. 2013b). Overexpression of KLLN suppresses AR expression and decreases PSA levels in CaP cells (Wang et al. 2013b). We have also shown that loss of KLLN expression in CaP associates with high Gleason score, suggesting that KLLN might be used as a potential prognostic marker for risk management (Wang et al. 2013b). In this study, we sought to analyze KLLN expression as a marker to predict clinical outcomes in patients with intermediate Gleason score CaP.

Materials and methods

Patients and human tissues

Paraffin-embedded RP specimens were collected at Stanford University Hospital. Consent had been obtained from each patient after full explanation of the purpose and nature of all procedures. Patients were identified with intermediate risk as per the National Comprehensive Cancer Network (NCCN) standard. For this study, tissue sections containing high-grade (Gleason grades 4 or 5) cancer were selected from 109 patients who had Gleason score 7 peripheral zone CaP, containing 30–70% Gleason grades 4/5. We excluded patients with tumor at clinical stage of T2c and higher. The percentage of Gleason grade 4/5, preoperative serum PSA, weight of prostate, volume of index (largest) and secondary tumors, capsular penetration, surgical margin (SM), and seminal vesicle invasion (SVI) were recorded. We excluded patients who received neoadjuvant therapy before RP or adjuvant treatment after RP. Follow-up after RP followed American Urological Association guideline, including measurements of serum PSA every 6 months for 5 years and annually thereafter. The Cleveland Clinic Institutional Review Board for Human Subjects Protection approved the protocol for analyzing anonymized tissue. We carried out in silico study analysis of 343 CaP tissue samples from The Cancer Genome Atlas (TCGA) Data Portal. We chose 119 patients who had Gleason 7 CaP and analyzed for KLLN/PTEN copy number variation and mRNA expression analysis.

Immunohistochemistry and quantification

Tissue sections were cut at 5 μm, deparaffinized in xylene, and rehydrated in a series of graded ethanol. Antigen retrieval was carried out with 0.01 M citrate buffer at pH 6.0 for 20 min in a 121 °C pressure chamber. The slides were allowed to cool for another 30 min, followed by sequential rinsing in PBS-T (0.01% Triton-X). Endogenous peroxidase activity was quenched by incubating in PBS-T containing 5% hydrogen peroxide. Each incubation step was carried out at room temperature and was followed by three sequential washes in PBS-T. The sections were incubated in rabbit polyclonal anti-KLLN antibody (Abgent, San Diego, CA, USA) at dilution of 1:100 in PBS-T containing 5% goat serum albumin, followed by incubations with biotinylated secondary antibody for 1 h, peroxidase-labeled streptavidin (Vectastain system, Vector, Burlingame, CA, USA) for 1 h, and diaminobenzidine-substrate for peroxidase-based immunohistochemistry (Cardassian DAB Chromogen, Biocare Medical, Concord, CA, USA). The slides were counterstained with hematoxylin (Vector) and mounted. W Y and two pathologists, A R and F A-K, independently evaluated the KLLN staining in Gleason grade 4 and 5 malignancies, blinded to outcomes. Positive KLLN staining in tumor cell nucleus, tumor cell cytoplasm, and adjacent stromal cells were recorded. The loss of KLLN expression in nucleus, cytoplasm, or stroma was defined by negative staining in all cells at the prospective locations.

Statistical analyses

SVI, capsular penetration, positive SM, and KLLN expression between two groups were compared using the χ2 test. The differences in PSA levels, tumor volumes, prostate weight, and follow-up time between two groups were evaluated using unpaired t-test. Spearman's rank correlation coefficient was used to analyze pairwise correlation between patient characteristics. Variables associated with tumor recurrence were analyzed by univariate and multivariate logistic regression. PSA-defined failure was defined as the PSA nadir +2 ng/ml according to the Phoenix criteria. RFSs were calculated to the event using the Kaplan–Meier method. Statistical analyses were performed using Prism version 6.0 (GraphPad Software, La Jolla, CA, USA) and SPSS statistical software package version 13.0 (SPSS, Inc.).

Results

Patient characteristics

This series had patients with a median age of 64±6.1 years, median preoperative serum PSA level of 8.7±11.28 ng/ml and median follow-up of 2069 days (Table 1). The median tumor volume was 3.3±3.4 cm3. SVI presented in 26/109 (23.9%) patients and 21/109 (19.3%) patients had positive SM (Table 1). There were 33/109 (30%) patient samples with capsular penetration (Table 1). Among these 109 patients, 50 (45.9%) had RFS with the median 2251±161 days of follow-up while 59 (54.1%) experienced PSA-defined failure (Table 1). For patients with recurrent disease, the median time to relapse was 198±55 days (Table 1).

Table 1

Clinical and pathological characteristics of overall cohort

CharacteristicValue
Patient number109
Age (years)
 Mean63.2
 Median64.0
 Range48–73
PSA (ng/ml)
 Mean11.8
 Median8.7
 Range0.8–89.6
Prostate weight (g)a
 Mean47.9
 Median43.0
 Range25–96
Total tumor volume (cm3)
 Mean4.4
 Median3.3
 Range0.3–19.4
Grade 4/5%b
 Mean52.0
 Median50.0
 Range30–70
Capsular penetration (cm)
 Mean0.5
 Median0
 Range0–6
Follow-up (days)
 Mean2094.8
 Median2069
 Range363–4677
SVI26 (23.9%)
Positive margins21 (19.3%)
PSA failure59 (54.1%)

SVI, seminal vesicle invasion.

Weight of prostate after removal.

Grade 4+5 combined (%).

PSA-defined recurrence associated with loss of nuclear KLLN expression, SVI, and capsular penetration

We first compared clinical and pathologic characteristics of patients with RFS (n=50) and those with PSA-defined failure (n=59). Both epithelial and stromal KLLN expressions were detected in Gleason grade 4 and/or 5 lesions (Fig. 1). We found 76% of patients with RFS lost nuclear KLLN expression compared with 98% in patients who experienced recurrent disease (P=0.0003) (Table 2). In contrast, cancers from the relapse-free group and recurrence group did not show any significant difference in cytoplasmic (P=0.079) or stromal KLLN expression (P=0.36) (Table 2). The median prostate weight was similar in the relapse-free (43.00±5.00 g) and recurrence groups (43.00±4.62 g, P=0.99). The recurrence group had slightly higher preoperative PSA levels (12.65±2.09 ng/ml) and larger index tumor volume (4.70±0.94 cm3) compared with the relapse-free group (10.75±3.91 ng/ml and 4.0±0.84 cm3 respectively), but the differences were not significant (P=0.39 and P=0.29 respectively) (Table 2). In the recurrence group, 36% had SVI compared with 10% in the relapse-free group (P=0.002) (Table 2). The tumors in the recurrence group also displayed more capsular penetration (51%) and positive SM (31%), compared with tumors from the relapse-free group (6%, P<0.0001 and 6%, P=0.0012 respectively) (Table 2). Among the eight morphologic variables in our study, loss of nuclear KLLN (OR=0.04, 95% CI 0.004–0.49, P=0.012), SVI (OR=0.16, 95% CI 0.039–0.64, P=0.010), and capsular penetration (OR=0.13, 95% CI 0.034–0.50, P=0.003) are negatively correlated with patients’ RFS (Table 3). Spearman's rank correlation analysis showed that these three factors are not correlated, suggesting nuclear-KLLN expression lost as an independent risk factor in association with RP prognosis for tumor recurrences (Supplementary Table S1, see section on supplementary data given at the end of this article).

Figure 1
Figure 1

(A) Positive nuclear and cytoplasmic (N+C+) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma. (B) Negative nuclear and positive cytoplasmic (N−C+) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma. (C) Negative nuclear and cytoplasmic (N−C−) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma.

Citation: Endocrine-Related Cancer 21, 4; 10.1530/ERC-14-0148

Table 2

Comparison of patients with recurrent or relapse-free cancer

CasesRelapse-free cancerRecurrentP value
Sample sizen=50n=59
Nuclear KLLN lost38/50 (76%)58/59 (98%)3.4×10−4
Cytoplasmic KLLN lost3/50 (6%)10/59 (17%)0.079
Stromal KLLN lost0/50 (0%)1/59 (2%)0.36
Age (years)63.24±1.7363.2±1.550.93
PSA (ng/ml)10.75±3.9112.65±2.090.39
Prostate weight (g)a43.00±5.0043.00±4.620.99
Total tumor volume (cm3)4.0±0.844.70±0.940.29
Index tumor volume (cm3)3.59±0.814.30±0.950.28
Secondary tumor volume (cm3)0.39±0.220.36±0.180.86
Grade 4/5%b50.5±4.3253.30±3.930.35
SVI5/50 (10%)21/59 (36%)0.002
Capsular penetration3/50 (6%)30/59 (51%)3.8×10−7
Positive margins 3/50 (6%)18/59 (31%)0.0012
Days of follow-up2251±1611962±2890.11
Time to failure (days)NA198±55NA

SVI, seminal vesicle invasion. Bold indicates statistical significance (P<0.05).

Weight of prostate after removal.

Grade 4+5 combined (%).

Table 3

Logistic regression model of characteristics associated with RFS in moderate-risk CaP

Variables Univariate Multivariate
P value OR 95% CI P value OR 95% CI
Age 0.29 0.96 0.88–1.04 0.29 1.05 0.96–1.14
PSA 0.89 1.00 0.95–1.06 0.89 1.00 0.94–1.05
Prostate weighta 0.53 1.01 0.98–1.04 0.53 0.99 0.96–1.02
Index tumor volume 0.78 1.34 0.18–10.03 0.78 0.75 0.10–5.58
Secondary tumor volume 0.67 1.60 0.18–14.15 0.67 0.62 0.07–5.51
Total tumor volume 0.63 0.61 0.08–4.60 0.63 1.64 0.22–12.31
Days of follow-up 0.50 1.00 1.00–1.00 0.50 1.00 1.00–1.00
Nuclear-KLLN lost 0.012 0.04 0.004–0.49 0.012 0.04 0.004–0.49
Cytoplasmic-KLLN lost 0.88 1.17 0.15–8.79 0.88 1.17 0.15–8.79
Stromal-KLLN lost 0.14 0.28 0.05–1.51 0.14 0.28 0.05–1.51
SVI 0.010 0.16 0.04–0.64 0.010 0.16 0.04–0.64
Positive margins 0.66 1.44 0.28–7.31 0.66 1.44 0.28–7.31
Capsular penetration 0.003 0.13 0.03–0.50 0.003 0.13 0.034–0.50

OR, odds ratio; SVI, seminal vesicles invasion. Bold indicates statistical significance (P<0.05).

Weight of prostate after removal.

Positive nuclear KLLN expression in CaP associates with good prognosis after RP

We then compared clinical and pathological characteristics in patients with nuclear KLLN-positive tumors and those who lost KLLN expression in tumor nuclei. Nuclear KLLN expression was detected in 13/109 (12%) patients (Table 4). We noticed that all nuclear KLLN-positive patients express KLLN in the tumor cytoplasm as well. Patients in this nuclear KLLN-positive group had significantly lower preoperative PSA levels (8.35±2.45 ng/ml) compared with those of the nuclear KLLN-negative group (12.24±2.37 ng/ml, P=0.031) (Table 4). In addition, tumor volume in nuclear KLLN-positive patients (2.66±0.51 cm3) was significantly smaller compared with that in the nuclear KLLN-negative group (4.61±0.71 cm3, P<0.0001) (Table 4). Patients in nuclear KLLN-positive groups have less SVI and positive SM, but the differences are not significant (P=0.15 and 0.06 respectively) (Table 4). Of 96 nuclear KLLN-negative tumors, 34% had capsular penetration, which was not observed in any of the nuclear KLLN-positive tumors (P=0.011) (Table 4). Most importantly, only 7% of nuclear KLLN-positive patients had PSA-defined recurrence compared with 60% of patients with nuclear KLLN-negative cancers, who had median relapse time of 6.6 months (P=0.0003) (Table 4). Kaplan–Meier plots show that nuclear KLLN-positive patients have significantly improved RFS compared with that of the KLLN-negative group during the average 6.1 years of follow-up (P=0.002) (Fig. 2A). Patients maintaining only cytoplasmic KLLN expression did not show an improved RFS compared with cytoplasmic KLLN-negative patients (P=0.25) (Fig. 2B). In summary, our data suggest that maintaining nuclear KLLN expression in high Gleason score tumors might associate with improved RFS in IRPC patients.

Table 4

Comparison of patients with nuclear-KLLN positive or negative tumors

Nuclear KLLN expressionPositiveNegativeP value
Sample sizen=13n=96
Age (years)60.46±3.2963.55±1.220.10
PSA (ng/ml)8.35±2.4512.24±2.370.031
Prostate weight (g)a44.53±11.5448.32±3.510.55
Index tumor (cm3)2.56±0.554.17±0.710.001
Secondary tumors (cm3)0.10±0.150.42±0.150.007
Total tumor volume (cm3)2.66±0.514.61±0.714.1×10−5
Grade 4/5%b53.07±9.1851.88±3.010.81
SVI1/13 (7%)25/96 (26%)0.15
Capsular penetration0/13 (0%)33/96 (34%)0.011
Positive margins0/13 (0%)21/96 (22%)0.06
Days of follow-up2338±3712062±5210.21
Tumor recurrence1/13 (7%)58/96 (60%)3.4×10−4
Time to failure (days)NAc280±56NA

SVI, seminal vesicles invasion. Bold indicates statistical significance (P<0.05).

Weight of prostate after removal.

Grade 4+5 combined (%).

One recurrent case with relapse at 225 days.

Figure 2
Figure 2

Association between KLLN expression and RFS. (A) Patients with positive nuclear KLLN expression in their prostate carcinomas (n=13) had significantly improved RFS compared with patients with no nuclear KLLN expression (n=96, P=0.002, Mantel–Cox test). (B) Patients with cytoplasmic KLLN-positive tumors (n=96) had no significantly improved RFS compared with patients with no cytoplasmic KLLN expression (n=13, P=0.247, Mantel–Cox test).

Citation: Endocrine-Related Cancer 21, 4; 10.1530/ERC-14-0148

KLLN deletion associates with PTEN deletion in IRPC

To determine whether loss of KLLN in IRPC is due to genomic deletion, we used the TCGA CaP dataset to analyze KLLN mRNA expression and KLLN putative copy number variation. Among the 343 cases in the Prostate Adenocarcinoma (PRAD) cohort, 244 cases contain clinical and pathology information. We identified 119 patients with Gleason 7 CaP. Among the 119 samples, 23 (19%) have homozygous KLLN deletion and 12 (10%) have hemizygous KLLN deletion (Fig. 3A). Deletions of KLLN significantly associated with decreased KLLN mRNA expression levels in those tumors (P<0.0001) (Fig. 3A). PTEN deletion was commonly found in advanced CaP. As KLLN and PTEN are adjacent to each other and share the same promoter, we then explored whether KLLN deletion in IRPC associates with loss of PTEN. Of the 119 cases, 22 (18%) have homozygous PTEN deletion, in which 20 cases have homozygous deletions of both KLLN and PTEN (Fig. 3B). Decreased KLLN copy number significantly associated with loss of PTEN in IRPC (Spearman r=0.91, P<0.0001) (Fig. 3C). In addition, the expression of KLLN and PTEN is also associated with IRPC (Fig. 3D). Our analysis shows the high frequency of deletion of both PTEN and KLLN in IRPC, which in turn associates with decrease in both genes' RNA expression.

Figure 3
Figure 3

KLLN deletion associated with deletion of PTEN. (A) Box- and -whisker plots showing decreased KLLN mRNA expression levels in tumors with KLLN deletion. Tumors with homozygous KLLN deletion (n=23), hemizygous KLLN deletion (n=12), or diploid-KLLN (n=84) were analyzed. The ends of the box- and -whisker plots represent 5th and 95th percentiles (one-way ANOVA, P<0.0001). (B) Comparison of IRPC cases with homozygous KLLN or/and PTEN deletion. (C) Scatter plots showing the association between KLLN and PTEN copy number variation in 119 Gleason 7 IRPC samples (Spearman r=0.9077, P<0.0001). (D) Scatter plots showing the association between KLLN and PTEN mRNA expression levels in 119 Gleason 7 IRPC samples (Spearman r=0.60, P<0.05).

Citation: Endocrine-Related Cancer 21, 4; 10.1530/ERC-14-0148

Discussion

KLLN was first identified as a p53-targeted DNA-binding protein regulating cell cycle and apoptosis in monkey kidney cells (Cho & Liang 2008). Our previous study revealed that KLLN is a transcription factor and mainly functions in the cell nucleus (Wang et al. 2013a,b). CaP patients have significantly decreased KLLN expression in the tumor compared with adjacent normal tissue (Wang et al. 2013b). Loss of KLLN expression may be an early event during tumor development and is associated with high Gleason score in CaP (Wang et al. 2013b). In CaP cells, KLLN inhibits AR expression by transcriptional suppression, resulting in decreased PSA levels (Wang et al. 2013b). This function aligns with our current finding that patients with nuclear KLLN-negative tumors have higher preoperative PSA levels, although of course secretion of PSA from normal prostate glands as well as benign prostatic hyperplasia (BPH) contributes to serum PSA levels. In our current cohort, patients with nuclear KLLN-negative tumors have higher prevalence of SVI, positive SM, and capsular penetration. However, Spearman's ρ indicates that nuclear KLLN expression is an independent risk factor for predicting patients' surgical outcome. Patients with grade 4 or 5 malignancies have poorer prognosis than the men with 100% grade 3 prostate tumors. However, the proportion of grade 4/5 tumors does not distinguish the surgical outcome. Our current study shows that risk of PSA-defined relapse was increased 24-fold in men with nuclear KLLN-negative high-grade tumors, compared with men with nuclear KLLN expression (Table 3). It appears that KLLN expression in the tumor cytoplasm and stroma did not associate with patient pre- or postoperative characteristics or surgical outcome. This suggests that loss of nuclear KLLN expression in neoplasias might play important roles in tumor progression and contribute to tumor aggressiveness. In IRPC patients, preoperation biopsies often only contain grade 3 lesions even though grades 4 or 5 can be observed in the PR specimens. Further validation of our findings in biopsies will provide more evidence for using KLLN as preoperative marker to predictive patient outcome and to personalize postsurgical cancer management.

Genomic deletions of PTEN in CaP have been shown to confer an unfavorable clinical outcome (Basler et al. 2005), most likely through decreased PTEN expression and subsequent upregulation of the AKT signaling pathway (Canby-Hagino et al. 2005, Wang et al. 2010, Costello et al. 2011). Hemizygous and homozygous PTEN deletions were found in 40% of locally advanced CaP and the incidence of PTEN deletion in CRPC may reach 70–80% (Swanson et al. 2006a,b,c, Ramahi et al. 2012). A recent study has shown that, in CaP, the most frequent loss at 10q23 including the PTEN ranges from 36 kb to 90 Mb in size (Yoshimoto et al. 2012). Considering the fact that KLLN lies in proximity to PTEN in 10q23 and shares a bidirectional promoter with PTEN, such deletions of PTEN in CaP may also include KLLN, which may explain the loss of KLLN expression in CaP. Our study revealed that 90% IRPC tumor samples with homozygous PTEN deletions also have KLLN deletions, indicating that genome insatiability may affect both tumor suppressors simultaneously. As PTEN deletion is commonly found in many types of cancers, it is highly possible that loss of KLLN may play a novel role in the development and progression of other cancer types as well. We have already shown that KLLN expression negatively correlated with AR expression in an independent cohort of CaP from 183 patients (Wang et al. 2013b). AR directly suppresses KLLN transcription in CaP cell lines (Wang et al. 2013b). Therefore, it is also possible that the increased AR activity in advanced CaP results in decreased KLLN expression levels.

CaP risk drives treatment selection, whereas accurate prediction of surgical outcome for each individual is extremely challenging. A reliable predictive marker for prolonged RFS or PSA failure would be essential for patient cancer management after their surgeries. It could guide the clinician to offer aggressive treatment to patients who are potentially at higher risk. Importantly, it can also prevent overtreatment for high-risk patients who actually have long-term RFS without further intervention. Several previous studies have developed preoperative scoring systems to predict a patient's earlier probability of tumor recurrence (Kattan et al. 1998, San Francisco et al. 2004, Cooperberg et al. 2006, Stephenson et al. 2006). The strength of the current study is the utilization of a single marker to predict the oncologic outcomes for patients with IRPC. To minimize bias and clinical heterogeneity, all our study patients had tumors of the same Gleason score and no one received neoadjuvant therapy before RP or adjuvant treatment after RP. We found that patients with nuclear KLLN expression in primary tumors had a high likelihood of long-term RFS despite the presence of high Gleason grade malignancies. In the nuclear KLLN-positive group, only 7% of the patients experienced PSA failure. In contrast, 60% of patients who lost nuclear KLLN expression had tumor recurrences, with median relapse time of 6.6 months. Our data also showed that nuclear KLLN expression in primary tumors associates with lower preoperative PSA levels, smaller tumor size, and fewer positive margins. They also suggest that patients with different KLLN expression patterns, regarding subcellular localization, should have different postsurgical cancer management. One limitation in current study is the selection of high-grade tumor lesions, in which majority of cell nuclei are KLLN-negative. Our follow-up study will investigate the association between KLLN expression in Gleason grade 3 tumors and patient surgical outcome.

Supplementary data

This is linked to the online version of the paper at http://dx.doi.org/10.1530/ERC-14-0148.

Declaration of interest

C Eng is a member of the external strategic advisory board of N-of-One and external advisory boards of CareSource and Medical Mutual of Ohio, and an unpaid member of the external scientific advisory boards of GenomOncology and EcoEos. The rest of the authors have no relevant conflicts of interest to declare.

Funding

This work was supported, in part, by the Susan G Komen for the Cure Foundation (KG101188) and the American Cancer Society Clinical Research Professorship (to C Eng).

Author contribution statement

C Eng and Y Wang developed and designed the concept, and drafted the manuscript. Y Wang, A Roma, R Nolley, F Abdul-Karim, and D M Peehl were involved in the acquisition of data. Y Wang, A Roma, R Nolley, F Abdul-Karim, D M Peehl, and C Eng analysed and interpreted the data. C Eng, Y Wang, A Roma, F Abdul-Karim, and D M Peehl were involved in the critical revision of the manuscript. Y Wang performed the statistical analysis. R Nolley and D M Peehl provided administrative, technical, and material support. C Eng supervised the study.

Acknowledgements

C Eng is the Sondra J and Stephen R Hardis Chair of Cancer Genomic Medicine at the Cleveland Clinic, was a Doris Duke Distinguished Clinical Scientist and is an American Cancer Society Clinical Research Professor, generously funded, in part, by the F.M. Kirby Foundation.

References

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    • Search Google Scholar
    • Export Citation
  • Bennett KL, Campbell R, Ganapathi S, Zhou M, Rini B, Ganapathi R, Neumann HP & Eng C 2011 Germline and somatic DNA methylation and epigenetic regulation of KILLIN in renal cell carcinoma. Genes, Chromosomes & Cancer 50 654661. (doi:10.1002/gcc.20887).

    • Search Google Scholar
    • Export Citation
  • Canby-Hagino ED, Swanson GP, Crawford ED, Basler JW, Hernandez J & Thompson IM 2005 Local and systemic therapy for patients with metastatic prostate cancer: should the primary tumor be treated? Current Urology Reports 6 183189. (doi:10.1007/s11934-005-0006-5).

    • Search Google Scholar
    • Export Citation
  • Cho YJ & Liang P 2008 Killin is a p53-regulated nuclear inhibitor of DNA synthesis. PNAS 105 53965401. (doi:10.1073/pnas.0705410105).

  • Cooperberg MR, Freedland SJ, Pasta DJ, Elkin EP, Presti JC Jr, Amling CL, Terris MK, Aronson WJ, Kane CJ & Carroll PR 2006 Multiinstitutional validation of the UCSF cancer of the prostate risk assessment for prediction of recurrence after radical prostatectomy. Cancer 107 23842391. (doi:10.1002/cncr.22262).

    • Search Google Scholar
    • Export Citation
  • Costello LC, Franklin RB, Zou J, Feng P, Bok R, Swanson MG & Kurhanewicz J 2011 Human prostate cancer ZIP1/zinc/citrate genetic/metabolic relationship in the TRAMP prostate cancer animal model. Cancer Biology & Therapy 12 10781084. (doi:10.4161/cbt.12.12.18367).

    • Search Google Scholar
    • Export Citation
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    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Whittington R, Malkowicz SB, Schultz D, Kaplan I, Beard CJ, Tomaszewski JE, Renshaw AA, Loughlin KR & Richie JP et al. 1998b Calculated prostate cancer volume greater than 4.0 cm3 identifies patients with localized prostate cancer who have a poor prognosis following radical prostatectomy or external-beam radiation therapy. Journal of Clinical Oncology 16 30943100.

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Schnall M, Whittington R, Malkowicz SB, Schultz D, Tomaszewski JE & Wein A 1998c Endorectal coil magnetic resonance imaging identifies locally advanced prostate cancer in select patients with clinically localized disease. Urology 51 449454. (doi:10.1016/S0090-4295(97)00630-4).

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Whittington R, Malkowicz SB, Fondurulia J, Chen MH, Tomaszewski JE & Wein A 1998d The combination of preoperative prostate specific antigen and postoperative pathological findings to predict prostate specific antigen outcome in clinically localized prostate cancer. Journal of Urology 160 20962101. (doi:10.1016/S0022-5347(01)62251-1).

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    • Export Citation
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    • Search Google Scholar
    • Export Citation
  • Kattan MW, Eastham JA, Stapleton AM, Wheeler TM & Scardino PT 1998 A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer. Journal of the National Cancer Institute 90 766771. (doi:10.1093/jnci/90.10.766).

    • Search Google Scholar
    • Export Citation
  • Meng MV, Elkin EP, Latini DM, Duchane J & Carroll PR 2005 Treatment of patients with high risk localized prostate cancer: results from cancer of the prostate strategic urological research endeavor (CaPSURE). Journal of Urology 173 15571561. (doi:10.1097/01.ju.0000154610.81916.81).

    • Search Google Scholar
    • Export Citation
  • Park S, Meng MV, Elkin EP, Speight JL, DuChane J & Carroll PR 2005 Androgen deprivation use with external beam radiation for prostate cancer: results from CaPSURE. Journal of Urology 174 18021807. (doi:10.1097/01.ju.0000177089.93728.20).

    • Search Google Scholar
    • Export Citation
  • Ramahi EH, Swanson GP, Jackson MW, Du F & Basler JW 2012 High-grade prostate cancer: favorable results in the modern era regardless of initial treatment. ISRN Oncology 2012 596029. (doi:10.5402/2012/596029).

    • Search Google Scholar
    • Export Citation
  • San Francisco IF, Regan MM, Olumi AF & DeWolf WC 2004 Percent of cores positive for cancer is a better preoperative predictor of cancer recurrence after radical prostatectomy than prostate specific antigen. Journal of Urology 171 14921499. (doi:10.1097/01.ju.0000118690.05943.c0).

    • Search Google Scholar
    • Export Citation
  • Siegel R, Naishadham D & Jemal A 2013 Cancer statistics, 2013. CA: A Cancer Journal for Clinicians 63 1130. (doi:10.3322/caac.21166).

  • Stephenson AJ, Scardino PT, Eastham JA, Bianco FJ Jr, Dotan ZA, Fearn PA & Kattan MW 2006 Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. Journal of the National Cancer Institute 98 715717. (doi:10.1093/jnci/djj190).

    • Search Google Scholar
    • Export Citation
  • Swanson G, Thompson I, Basler J & Crawford ED 2006a Metastatic prostate cancer-does treatment of the primary tumor matter? Journal of Urology 176 12921298. (doi:10.1016/j.juro.2006.06.069).

    • Search Google Scholar
    • Export Citation
  • Swanson GP, Thompson IM & Basler J 2006b Current status of lymph node-positive prostate cancer: incidence and predictors of outcome. Cancer 107 439450. (doi:10.1002/cncr.22034).

    • Search Google Scholar
    • Export Citation
  • Swanson GP, Thompson IM & Basler J 2006c Treatment options in lymph node-positive prostate cancer. Cancer 106 25312539. (doi:10.1002/cncr.21947).

    • Search Google Scholar
    • Export Citation
  • Wang Y, Romigh T, He X, Orloff MS, Silverman RH, Heston WD & Eng C 2010 Resveratrol regulates the PTEN/AKT pathway through androgen receptor-dependent and -independent mechanisms in prostate cancer cell lines. Human Molecular Genetics 19 43194329. (doi:10.1093/hmg/ddq354).

    • Search Google Scholar
    • Export Citation
  • Wang Y, He X, Yu Q & Eng C 2013a Androgen receptor-induced tumor suppressor, KLLN, inhibits breast cancer growth and transcriptionally activates p53/p73-mediated apoptosis in breast carcinomas. Human Molecular Genetics 22 22632272. (doi:10.1093/hmg/ddt077).

    • Search Google Scholar
    • Export Citation
  • Wang Y, Radhakrishnan D, He X, Peehl DM & Eng C 2013b Transcription factor KLLN inhibits tumor growth by AR suppression, induces apoptosis by TP53/TP73 stimulation in prostate carcinomas, and correlates with cellular differentiation. Journal of Clinical Endocrinology and Metabolism 98 E586E594. (doi:10.1210/jc.2012-3490).

    • Search Google Scholar
    • Export Citation
  • Yoshimoto M, Ludkovski O, DeGrace D, Williams JL, Evans A, Sircar K, Bismar TA, Nuin P & Squire JA 2012 PTEN genomic deletions that characterize aggressive prostate cancer originate close to segmental duplications. Genes, Chromosomes & Cancer 51 149160. (doi:10.1002/gcc.20939).

    • Search Google Scholar
    • Export Citation

 

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    Figure 1

    (A) Positive nuclear and cytoplasmic (N+C+) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma. (B) Negative nuclear and positive cytoplasmic (N−C+) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma. (C) Negative nuclear and cytoplasmic (N−C−) KLLN immunohistochemical staining in high-grade prostatic adenocarcinoma.

  • View in gallery
    Figure 2

    Association between KLLN expression and RFS. (A) Patients with positive nuclear KLLN expression in their prostate carcinomas (n=13) had significantly improved RFS compared with patients with no nuclear KLLN expression (n=96, P=0.002, Mantel–Cox test). (B) Patients with cytoplasmic KLLN-positive tumors (n=96) had no significantly improved RFS compared with patients with no cytoplasmic KLLN expression (n=13, P=0.247, Mantel–Cox test).

  • View in gallery
    Figure 3

    KLLN deletion associated with deletion of PTEN. (A) Box- and -whisker plots showing decreased KLLN mRNA expression levels in tumors with KLLN deletion. Tumors with homozygous KLLN deletion (n=23), hemizygous KLLN deletion (n=12), or diploid-KLLN (n=84) were analyzed. The ends of the box- and -whisker plots represent 5th and 95th percentiles (one-way ANOVA, P<0.0001). (B) Comparison of IRPC cases with homozygous KLLN or/and PTEN deletion. (C) Scatter plots showing the association between KLLN and PTEN copy number variation in 119 Gleason 7 IRPC samples (Spearman r=0.9077, P<0.0001). (D) Scatter plots showing the association between KLLN and PTEN mRNA expression levels in 119 Gleason 7 IRPC samples (Spearman r=0.60, P<0.05).

  • Basler JW, Jenkins C & Swanson G 2005 Multidisciplinary management of prostate malignancy. Current Urology Reports 6 228234. (doi:10.1007/s11934-005-0012-7).

    • Search Google Scholar
    • Export Citation
  • Bennett KL, Campbell R, Ganapathi S, Zhou M, Rini B, Ganapathi R, Neumann HP & Eng C 2011 Germline and somatic DNA methylation and epigenetic regulation of KILLIN in renal cell carcinoma. Genes, Chromosomes & Cancer 50 654661. (doi:10.1002/gcc.20887).

    • Search Google Scholar
    • Export Citation
  • Canby-Hagino ED, Swanson GP, Crawford ED, Basler JW, Hernandez J & Thompson IM 2005 Local and systemic therapy for patients with metastatic prostate cancer: should the primary tumor be treated? Current Urology Reports 6 183189. (doi:10.1007/s11934-005-0006-5).

    • Search Google Scholar
    • Export Citation
  • Cho YJ & Liang P 2008 Killin is a p53-regulated nuclear inhibitor of DNA synthesis. PNAS 105 53965401. (doi:10.1073/pnas.0705410105).

  • Cooperberg MR, Freedland SJ, Pasta DJ, Elkin EP, Presti JC Jr, Amling CL, Terris MK, Aronson WJ, Kane CJ & Carroll PR 2006 Multiinstitutional validation of the UCSF cancer of the prostate risk assessment for prediction of recurrence after radical prostatectomy. Cancer 107 23842391. (doi:10.1002/cncr.22262).

    • Search Google Scholar
    • Export Citation
  • Costello LC, Franklin RB, Zou J, Feng P, Bok R, Swanson MG & Kurhanewicz J 2011 Human prostate cancer ZIP1/zinc/citrate genetic/metabolic relationship in the TRAMP prostate cancer animal model. Cancer Biology & Therapy 12 10781084. (doi:10.4161/cbt.12.12.18367).

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Whittington R, Malkowicz SB, Schultz D, Blank K, Broderick GA, Tomaszewski JE, Renshaw AA, Kaplan I & Beard CJ et al. 1998a Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer. Journal of the American Medical Association 280 969974. (doi:10.1001/jama.280.11.969).

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Whittington R, Malkowicz SB, Schultz D, Kaplan I, Beard CJ, Tomaszewski JE, Renshaw AA, Loughlin KR & Richie JP et al. 1998b Calculated prostate cancer volume greater than 4.0 cm3 identifies patients with localized prostate cancer who have a poor prognosis following radical prostatectomy or external-beam radiation therapy. Journal of Clinical Oncology 16 30943100.

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Schnall M, Whittington R, Malkowicz SB, Schultz D, Tomaszewski JE & Wein A 1998c Endorectal coil magnetic resonance imaging identifies locally advanced prostate cancer in select patients with clinically localized disease. Urology 51 449454. (doi:10.1016/S0090-4295(97)00630-4).

    • Search Google Scholar
    • Export Citation
  • D'Amico AV, Whittington R, Malkowicz SB, Fondurulia J, Chen MH, Tomaszewski JE & Wein A 1998d The combination of preoperative prostate specific antigen and postoperative pathological findings to predict prostate specific antigen outcome in clinically localized prostate cancer. Journal of Urology 160 20962101. (doi:10.1016/S0022-5347(01)62251-1).

    • Search Google Scholar
    • Export Citation
  • DeSantis C, Naishadham D & Jemal A 2013 Cancer statistics for African Americans, 2013. CA: A Cancer Journal for Clinicians 63 151166. (doi:10.3322/caac.21173).

    • Search Google Scholar
    • Export Citation
  • Kattan MW, Eastham JA, Stapleton AM, Wheeler TM & Scardino PT 1998 A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer. Journal of the National Cancer Institute 90 766771. (doi:10.1093/jnci/90.10.766).

    • Search Google Scholar
    • Export Citation
  • Meng MV, Elkin EP, Latini DM, Duchane J & Carroll PR 2005 Treatment of patients with high risk localized prostate cancer: results from cancer of the prostate strategic urological research endeavor (CaPSURE). Journal of Urology 173 15571561. (doi:10.1097/01.ju.0000154610.81916.81).

    • Search Google Scholar
    • Export Citation
  • Park S, Meng MV, Elkin EP, Speight JL, DuChane J & Carroll PR 2005 Androgen deprivation use with external beam radiation for prostate cancer: results from CaPSURE. Journal of Urology 174 18021807. (doi:10.1097/01.ju.0000177089.93728.20).

    • Search Google Scholar
    • Export Citation
  • Ramahi EH, Swanson GP, Jackson MW, Du F & Basler JW 2012 High-grade prostate cancer: favorable results in the modern era regardless of initial treatment. ISRN Oncology 2012 596029. (doi:10.5402/2012/596029).

    • Search Google Scholar
    • Export Citation
  • San Francisco IF, Regan MM, Olumi AF & DeWolf WC 2004 Percent of cores positive for cancer is a better preoperative predictor of cancer recurrence after radical prostatectomy than prostate specific antigen. Journal of Urology 171 14921499. (doi:10.1097/01.ju.0000118690.05943.c0).

    • Search Google Scholar
    • Export Citation
  • Siegel R, Naishadham D & Jemal A 2013 Cancer statistics, 2013. CA: A Cancer Journal for Clinicians 63 1130. (doi:10.3322/caac.21166).

  • Stephenson AJ, Scardino PT, Eastham JA, Bianco FJ Jr, Dotan ZA, Fearn PA & Kattan MW 2006 Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. Journal of the National Cancer Institute 98 715717. (doi:10.1093/jnci/djj190).

    • Search Google Scholar
    • Export Citation
  • Swanson G, Thompson I, Basler J & Crawford ED 2006a Metastatic prostate cancer-does treatment of the primary tumor matter? Journal of Urology 176 12921298. (doi:10.1016/j.juro.2006.06.069).

    • Search Google Scholar
    • Export Citation
  • Swanson GP, Thompson IM & Basler J 2006b Current status of lymph node-positive prostate cancer: incidence and predictors of outcome. Cancer 107 439450. (doi:10.1002/cncr.22034).

    • Search Google Scholar
    • Export Citation
  • Swanson GP, Thompson IM & Basler J 2006c Treatment options in lymph node-positive prostate cancer. Cancer 106 25312539. (doi:10.1002/cncr.21947).

    • Search Google Scholar
    • Export Citation
  • Wang Y, Romigh T, He X, Orloff MS, Silverman RH, Heston WD & Eng C 2010 Resveratrol regulates the PTEN/AKT pathway through androgen receptor-dependent and -independent mechanisms in prostate cancer cell lines. Human Molecular Genetics 19 43194329. (doi:10.1093/hmg/ddq354).

    • Search Google Scholar
    • Export Citation
  • Wang Y, He X, Yu Q & Eng C 2013a Androgen receptor-induced tumor suppressor, KLLN, inhibits breast cancer growth and transcriptionally activates p53/p73-mediated apoptosis in breast carcinomas. Human Molecular Genetics 22 22632272. (doi:10.1093/hmg/ddt077).

    • Search Google Scholar
    • Export Citation
  • Wang Y, Radhakrishnan D, He X, Peehl DM & Eng C 2013b Transcription factor KLLN inhibits tumor growth by AR suppression, induces apoptosis by TP53/TP73 stimulation in prostate carcinomas, and correlates with cellular differentiation. Journal of Clinical Endocrinology and Metabolism 98 E586E594. (doi:10.1210/jc.2012-3490).

    • Search Google Scholar
    • Export Citation
  • Yoshimoto M, Ludkovski O, DeGrace D, Williams JL, Evans A, Sircar K, Bismar TA, Nuin P & Squire JA 2012 PTEN genomic deletions that characterize aggressive prostate cancer originate close to segmental duplications. Genes, Chromosomes & Cancer 51 149160. (doi:10.1002/gcc.20939).

    • Search Google Scholar
    • Export Citation