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Original Research ARTICLE

Front. Oncol., 26 August 2020 | https://doi.org/10.3389/fonc.2020.01489

Comparing the Oncological Outcomes of Cryoablation vs. Radical Prostatectomy in Low-Intermediate Risk Localized Prostate Cancer

Xiao-xiao Guo1,2*, Sheng-jie Liu1,2, Miao Wang1,2, Hui-min Hou1, Xuan Wang1, Zhi-peng Zhang1, Ming Liu1 and Jian-ye Wang1*
  • 1Department of Urology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Science, Beijing, China
  • 2Graduate School of Peking Union Medical College, Beijing, China

Purpose: To compare the oncologic outcomes of cryoablation (CA) and radical prostatectomy (RP) in patients with low- and intermediate-risk localized prostate cancer (PCa).

Materials and Methods: PCa patients who received CA or RP between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. Multivariable Cox proportional hazard analysis was used to compare the prostate cancer-specific survival (CSS) and overall survival (OS). We conducted 1:3 propensity score matching and adjusted standardized mortality ratio weighting (SMRW) to balance the clinicopathological characteristics.

Results: Ninety-seven thousand seven hundred eighty-three patients were identified after preliminary screening. After matching, the CA and RP groups included 1,942 and 5,826 patients and had median follow-up periods of 85 and 72 months, respectively. CA had lower CSS and OS rates (hazard ratio [HR], 2.07; P = 0.007; HR, 2.09; P < 0.001, respectively) than did RP, which was consistent in the SMRW model (CSM: HR, 2.66; P < 0.001; OS: HR, 2.29; P < 0.001). The 10-years CSS and OS for CA vs. RP were 98.1 vs. 99.2% and 61.3 vs. 79.9%, respectively.

Conclusions: In patients with low- to intermediate-risk localized PCa, CA had lower CSS rates than did RP. However, the high 10-years CSS rates indicated that CA could be an option for those who are not RP candidates. Further high-quality trials are needed to confirm and expand our findings.

Introduction

The screening strategies of prostate cancer (PCa) have been used to identify men at an earlier stage with small tumor volumes (1, 2), resulting in controversy about active surveillance and radical treatments. Ablation, a minimally invasive procedure, can serve as a compromise between radical and conservative treatment (3). Previous studies have proven the safety of ablation therapy (4, 5) and reported a good oncological efficacy of it in patients with localized PCa (6, 7).

Cryoablation (CA), which uses extremely cold temperature to induce tumor necrosis, has been one of the most commonly used ablation modalities. Some single-arm case series showed that CA has a favorable short-intermediate term oncological efficacy in patients with clinically low-intermediate risk PCa (8, 9). Furthermore, other studies comparing radical prostatectomy (RP) and CA reported comparable oncological outcomes between the two interventions (10, 11). However, given the lack of comparative study of CA vs. RP with mid-long follow-up period, significant uncertainties remain in considering CA as an alternative strategy to radical prostatectomy (RP) for localized PCa. Therefore, the present study aimed to validate the efficacy of CA for low-intermediate risk localized PCa compared with RP.

Materials and Methods

Study Population

We used the Surveillance, Epidemiology, and End Results (SEER) database to identify patients with PCa from 2004 to 2015. The SEER programme of the US National Cancer Institute was used as the data source for the present study. The 17th SEER tumor registries encompass ~26% of the US population. The SEER programme collects information on cancer incidence, prevalence, survival, and mortality of cancer patients. This programme has 98% completeness in ascertaining cases. In total, 590,960 patients with PCa as the only malignancy were initially screened. Patients who had not received RP or CA (n = 395,134) or with incomplete clinicopathological data (n = 74,907) were primarily excluded. Then, patients with high-risk disease, radiotherapy experience, biopsy Gleason Score (GS) other than 3 + 3, 3 + 4, or 4 + 3, or metastasis were also excluded (Figure 1). Finally, 97,783 patients with clinical T1c–T2b tumor, prostate specific antigen (PSA) ≤20 ng/ml before treatment, and biopsy GS ≤7 (3 + 3, 3 + 4, and 4 + 3) were included.

FIGURE 1
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Figure 1. Study cohort selection. PSA, prostate specific antigen; PCa, prostate cancer; SEER, surveillance, epidemiology, and end results database; GS, Gleason score.

Propensity Score Matching

We conducted 1:3 propensity score matching (PSM) with specified caliper distances of 0.5 to diminish residual and selection bias. Age, PSA value, race, clinical tumor stage, biopsy GS, and year of diagnosis were adjusted by the logistic regression model to calculate the propensity score. The standardized mean difference (SMD) and propensity score (PS) density plot were used to evaluate the matching efficiency.

Statistical Analysis

The mean [standard deviation (SD)] was used to report continuous variables, and frequency and proportion were used for categorical variables. Clinicopathological features of both groups were compared by the Kruskal-Wallis, Wilcoxon rank-sum, or Fisher's exact tests. The hazard ratio (HR) with 95% confidence interval (CI) for CSS and OS of both groups were calculated by using multivariable Cox proportional hazards model. The standardized mortality ratio weighting (SMRW) model that unified the distribution of the risk factors of both groups was used to confirm the robustness of the results. In addition, subgroup analyses were conducted in terms of D'Amico risk group (low- and intermediate-risk), clinical tumor stage (T1c and T2a−2b), preoperative PSA level (≤10, and 10.1–20 ng/ml), and biopsy GS (3 + 3, 3 + 4, and 4 + 3). All analyses were performed by R version 3.6.1 software (The R Foundation for Statistical Computing, Vienna, Austria; www.r-project.org) with the R packages “survminer” and “Matching.” All statistical testing was two-sided with significance considered at a P-value of 0.05.

Results

As Table 1 shows, the present study included 97,783 patients. Among these, 95,822 patients received RP, while 1,961 received CA. Before PSM, all key variables differed significantly between the RP and CA groups (all P < 0.001). After PSM, the CA and RP groups included 1,942 and 5,826 cases, respectively. The two groups were well-balanced except for the race distribution, as there were more African Americans in the CA group (10.7 vs. 16.5%; P < 0.001). The mean age and PSA were 68.6 vs. 68.2 years and 6.7 vs. 6.8 ng/ml for CA vs. RP (p = 0.072 and 0.696, respectively). The median follow-up periods of CA and RP were 84 and 83 months, respectively. All the SMD values in the PSM and SMRW cohorts were <10% and were far less than in the unmatched cohort (Supplemental Figure 1). The PS distribution of the CA and RP group in PSM and SMRW cohorts were highly consistent (Supplemental Figure 2).

TABLE 1
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Table 1. Baseline demographic and clinicopathologic characteristics sort by interventions before and after propensity score matching.

Before matching, the multivariable Cox regression model showed that RP was associated with higher CSS and OS rates (HR, 2.32; 95% CI, 1.54–3.50; P < 0.001), (HR, 2.34; 95% CI, 2.07–2.64; P < 0.001), respectively. After PSM, CA still showed inferior CSS and OS to that of RP (HR, 2.07; 95% CI, 1.22–3.51; P = 0.007; P < 0.001), (HR, 2.09; 95% CI, 1.80–2.44; P < 0.001; respectively). The Kaplan-Meier (K-M) survival curves of CSS and OS are presented in Figure 2. In patients who received CA and RP, the 5- and 10-years CSS rates were 99.5 vs. 99.8% and 98.1 vs. 99.2%, respectively; the 5- and 10-years OS rates were 87.0 vs. 93.8% and 61.3 vs. 79.9%, respectively. Consistently, the adjusted SMRW model supported the inferior survival outcomes of CA (CSS: HR, 2.66; 95%CI, 1.27–5.59; P = 0.010; OS: HR, 2.29; 95%CI, 1.85–2.83; P < 0.001). All the results of the Cox regression analyses are summarized in Table 2.

FIGURE 2
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Figure 2. Kaplan-Meier survival curves of cryoablation (CA) vs. radical prostatectomy (RP) after propensity score matching. (A) Cancer specific survival (CSS); (B) Overall survival (OS).

TABLE 2
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Table 2. Effect of cryoablation vs. radical prostatectomy on oncologic outcomes.

Figure 3 shows the Forest plots of the subgroup analysis. The OS of the RP was generally better than that of CA in all the subgroups. The CSS was similar between the two interventions in the subgroups of low risk (HR, 1.25; 95% CI, 0.39–4.07; P = 0.708), GS 3 + 3 (HR, 1.25; 95% CI, 0.39–4.07; P = 0.708), or GS 3 + 4 (HR, 2.09; 95% CI, 0.85–5.00; P = 0.098), while CA was associated with a lower CSS in the remaining subgroups. Tests for interaction revealed no significant interaction between the variables and the effect of interventions on the CSS (all P-values for interactions >0.05). Supplemental Figure 3 shows the K-M CSS curves and estimated 5- and 10-years CSS rates of each subgroup.

FIGURE 3
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Figure 3. Subgroup analysis of cancer-specific survival and overall survival by cryoablation vs. radical prostatectomy (RP). PSA, prostate specific antigen; GS, Gleason score; CI, confidence interval; HR, hazard ratio.

Discussion

The present study, involving patients with low- and intermediate-risk localized PCa, compared mid- to long-term oncological outcomes between CA and RP. The results showed that CA had a lower CSS and OS than RP. The 10-years CSS of CA in all low-intermediate risk, low-risk, and intermediate-risk patients were 98.1, 99.3, and 98.0%, respectively.

Some studies have reported the oncological outcomes after CA for localized PCa. Lian et al. (8) in their series of 41 patients with low- and intermediate-risk PCa reported 10% (4/40) treatment failure (at least one positive biopsy in the treated lobe, or biochemical recurrence) rates after focal CA with a median follow-up of 63 months. Oishi et al. (9) collected data from 160 consecutive men who underwent hemi-gland CA for localized low-, intermediate-, or high-risk PCa and reported 62% biochemical-free survival rates and 89% clinically significant PCa-free rates. Nevertheless, these single-arm studies did not account for the differences in oncological outcomes between the CA and other interventions. Bahn et al. (11) who compared the oncological outcomes between 36 focal CA patients and 36 matched RP patients, reported a similar risk for the need for salvage treatment between the two interventions within a 3.7-years follow-up period. However, the CSS and OS were not reported in their study. The small sample size and short follow-up period of the study may be too low to show significance. Our study revealed that patients who received CA had approximately a 2-fold higher risk of CSM than did those who received RP. The results of the SMRW cohort supported the validity of the results. Garcia-Barreras et al. (10) also reported an inferior efficacy of CA. They compared the oncological outcomes between 236 partial gland CA patients and 472 matched robot-assisted RP patients. They found that CA was associated with a higher PSA nadir and time to PSA nadir. Patients with CA had a 6-fold higher risk for salvage treatment. In another study, Elkjær et al. (12) retrospectively compared the oncological outcomes of 39 PCa patients received whole-gland CA while 350 patients received RP. The results showed a higher recurrence risk in CA group. The primary reason for the inferior oncological outcomes of CA could be the multifocality of PCa (13), especially in patients with focal CA. Lian et al. (8) reported a 12.5% (5/40) rate of positive biopsy in the contralateral lobe during follow-up biopsy. In addition, Bahn et al. (11) reported a 16% rate of positive biopsy in the contralateral lobe in 48 patients who received CA and at least one post-CA biopsy. Moreover, there are two other possible explanations. The cryotherapy does not create a uniform frozen zone but lowest temperature in the center and higher toward the periphery (14, 15). Lightly damaged cancer cells can repair themselves and survive. The close anatomical relations between the prostate and the rectum and nerve vascular bundle makes it hard to obtain a safe margin in some cases, which results in remaining tumor tissue. The progress of untreated or remained lesions ultimately leads to poorer oncological outcomes of the CA group.

The criteria for CA was low-risk (GS 3 + 3) disease with a life expectancy of at least 10 years. In the recent consensus, patients with a Gleason 7 (3 + 4) lesion were also considered as candidates (1618). Our results indicated that in the low-risk and GS 3 + 4 subgroups, no statistical difference in CSS rates existed between CA and RP. Nevertheless, the test for interaction suggested no significant interaction between the risk stratification or GS score and the effect of treatment on the CSS (P = 0.186, 0.398, respectively). The comparable efficiency between the two groups in these subgroups may be due to the few deaths during the short follow-up period. Therefore, we considered these subgroup analysis results consistent with the overall results. In a report from an international Delphi consensus project (19), 80% of the panel of experts agreed to treat GS 4 + 3 disease up to 0.5 ml with focal therapy. Our results showed a lower CSS rates of CA compared to that of RP in the GS 4 + 3 subgroup. Moreover, the CSS differences between the two interventions in GS 4 + 3 subgroup (83.4 vs. 94.3%) was higher than that in other subgroups. This is understandable. Higher Gleason pattern is a crucial predictor for capsular perforation and seminal vesicle invasion (20, 21), which further increases the risk of incomplete ablation, ultimately causing poorer oncological outcomes.

Recently, a randomized controlled trial (22) compared focal ablation and AS in patients with low-risk PCa. The short-term results showed significantly reduced treatment failure in focal ablation group. The latest report of the prostate cancer intervention vs. observation trial (PIVOT) (23) showed that surgery was associated with decreased all-cause mortality and increased years of life gained compared with AS. These reports indicate that the active interventions may benefit patients. Although CA (an active intervention) had lower CSS than did RP in low-intermediate risk patients, its 10-years CSS in low- and intermediate-risk patients were as high as 99.3 and 98.0%, respectively, making it an excellent option for those who cannot tolerate RP.

The present study has some clinical implications. The results showed that compared with RP, CA had inferior CSS and OS in patients with low-intermediate risk PCa. This suggested that CA should not be the first choice in cases wherein a cure is the top priority. However, in cases wherein the top priority is maintaining the quality of life or for patients ineligible for RP, CA is worth considering as it provides effective mid-long CSS. Our study has several limitations as well. First, the precise extension of ablation was not defined owing to the nature of the SEER. Hence, we could not perform further subgroup analyses regarding different ablation extensions vs. RP. Although previous studies with short–mid follow-up reported similar oncological outcomes between different ablation extensions (24, 25), it is worthwhile to note that the conclusions may change with the extension of follow-up. Second, the much greater difference in OS compared to that in CSS suggested that non-cancer factors are the leading cause of patient death. However, the impact of CA on OS cannot be determined with the present study because we cannot assess the frailty and comorbidity of patients. Third, although we excluded patients with radiotherapy experience, there were still some patients who received salvage CA, which could potentially affect prognosis.

Conclusion

In patients with low-intermediate localized PCa, CA had lower CSS than did RP, suggesting that RP provided better tumor control than did CA. However, for patients who are not RP candidates, CA is worth considering due to positive 10-years CSS outcomes. There is need for high-quality trials to compare the oncological outcomes of different extensions of ablation with those of radical treatments and clarify the effect of CA on OS in comparison with radical treatments.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: Surveillance, Epidemiology, and End Results (SEER) database (https://seer.cancer.gov/).

Author Contributions

JW and ML: conception of the work. XG: acquisition and interpretation of the data. XG, SL, and MW: drafting the manuscript. HH, XW, and ZZ: critical revision for important intellectual content. XG and SL contributed equally to the work. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (Grant No: 2018-I2M-1-002) and National Natural Science Foundation of China (Grant No: 81900700).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors thank editor and reviewers for their positive and constructive comments and suggestions on our manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2020.01489/full#supplementary-material

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Keywords: cryoablation, radical prostatectomy, propensity score matching, survival outcomes, SEER database

Citation: Guo X, Liu S, Wang M, Hou H, Wang X, Zhang Z, Liu M and Wang J (2020) Comparing the Oncological Outcomes of Cryoablation vs. Radical Prostatectomy in Low-Intermediate Risk Localized Prostate Cancer. Front. Oncol. 10:1489. doi: 10.3389/fonc.2020.01489

Received: 20 May 2020; Accepted: 13 July 2020;
Published: 26 August 2020.

Edited by:

Mohamed Saad Zaghloul, Cairo University, Egypt

Reviewed by:

Philipp Mandel, University Medical Center Hamburg-Eppendorf, Germany
Preston C. Sprenkle, Yale University, United States

Copyright © 2020 Guo, Liu, Wang, Hou, Wang, Zhang, Liu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiao-xiao Guo, ensitern@163.com; Jian-ye Wang, wangjy@bjhmoh.cn

These authors have contributed equally to this work