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Article

Response Assessment and Prediction of Progression-Free Survival by 68Ga-PSMA-11 PET/CT Based on Tumor-to-Liver Ratio (TLR) in Patients with mCRPC Undergoing 177Lu-PSMA-617 Radioligand Therapy

by
Fadi Khreish
1,*,
Mona Wiessner
1,
Florian Rosar
1,
Zaidoon Ghazal
1,
Amir Sabet
2,
Stephan Maus
1,
Johannes Linxweiler
3,
Mark Bartholomä
1 and
Samer Ezziddin
1
1
Department of Nuclear Medicine, Saarland University, 66421 Homburg, Germany
2
Department of Nuclear Medicine, Frankfurt University, 60590 Frankfurt am Main, Germany
3
Department of Urology, Saarland University, 66421 Homburg, Germany
*
Author to whom correspondence should be addressed.
Biomolecules 2021, 11(8), 1099; https://doi.org/10.3390/biom11081099
Submission received: 2 June 2021 / Revised: 16 July 2021 / Accepted: 24 July 2021 / Published: 26 July 2021
(This article belongs to the Special Issue Prostate Cancer: From Models to Molecular Mechanisms and Precision Medicine)
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Abstract

:
At present, little is known about the molecular imaging-based response assessment of prostate-specific membrane antigen (PSMA)-targeted radioligand therapy with 177Lutetium (177Lu-PSMA-617 RLT) in metastatic castration-resistant prostate cancer (mCRPC). Our study evaluated the response to RLT using both molecular imaging and biochemical response assessments, and their potential prediction of progression-free survival (PFS). Fifty-one consecutive patients given two cycles of RLT at 6-week intervals were analyzed retrospectively. 68Ga-PSMA-11 PET/CT was obtained about 2 weeks prior to the first and 4–6 weeks after the second cycle. Molecular imaging-based response using SUVpeak and tumor-to-liver ratio (TLR) was determined by modified PERCIST criteria. ∆TLR and ∆SUV were significantly correlated with ∆PSA (p < 0.001, each). After a median follow-up of 49 months, the median PFS (95% CI) was 8.0 (5.9–10.1) months. In univariate analysis, responders showing partial remission (PRPSA and PRTLR) had significantly (p < 0.001, each) longer PFS (median: 10.5 and 9.3 months) than non-responders showing either stable or progressive disease (median: 4.0 and 3.5 months). Response assessment using SUVpeak failed to predict survival. In multivariable analysis, response assessment using TLR was independently associated with PFS (p < 0.001), as was good performance status (p = 0.002). Molecular imaging-based response assessment with 68Ga-PSMA-11 PET/CT using normalization of the total lesion PSMA over healthy liver tissue uptake (TLR) could be an appropriate biomarker to monitor RLT in mCRPC patients and to predict progression-free survival (PFS) of this treatment modality.

1. Introduction

Despite advances in early detection and therapy, a significant fraction of patients with prostate cancer develops lethal metastatic castration-resistant prostate carcinoma (mCRPC) [1]. In the last decade, many life-prolonging therapy options, such as chemo-therapy (docetaxel and cabazitaxel, each with survival benefit of 2.4 months compared to mitoxantrone), androgen receptor targeting agents (enzalutamide with survival benefit of 4.8 months and abiraterone with 3.9 months, each compared to placebo), and 223Ra therapy (with survival benefit of 2.8 months compared to placebo) have been approved for the treatment of men with mCRPC [2,3,4,5,6]. More recently, studies using 177Lu-labeled prostate specific membrane antigen (PSMA) ligands such as PSMA-617, called 177Lu-PSMA radioligand therapy (RLT), have shown encouraging results in these patients [7,8,9,10]. The assessment of response to these treatments still relies on biochemical parameters, such as prostate specific antigen (PSA) and conventional imaging modalities, including computed tomography (CT), magnetic resonance tomography (MRI), and bone scintigraphy [11]. However, these conventional imaging tools have limited diagnostic value in the advanced stage of disease, especially in the response evaluation of bone metastases, which could show more sclerotic changes, even after successful treatment and therapy response. Thus, there is significant demand for a reliable imaging methodology to accurately monitor treatment, especially for 177Lu-PSMA-617 RLT in the setting of mCRPC. The response assessment by positron emission tomography/computed tomography (PET/CT) using 18F-fluorocholine has been investigated in patients with mCRPC treated with docetaxel [12], abiraterone [13], or enzalutamide [14], and showed the ability to predict clinical outcome beyond the PSA response. In recent years, 68Ga-PSMA-11 PET/CT has gained increasing importance in the management of prostate cancer for initial staging [15], biochemical recurrence [16], detection of metastases in non-metastatic CRPC [17], and screening for 177Lu-PSMA-617 RLT. Recently, Violet et al. found a significant correlation between tumoral uptake on pretherapeutic 68Ga-PSMA PET and absorbed dose by the tumor, estimated on a 177Lu-PSMA-617 whole-body scan using an automated voxelized dosimetry tool [18]. However, little is known about the impact of 68Ga-PSMA-11 PET/CT on response assessment of different therapy options in mCRPC, especially for 177Lu-PSMA-617 RLT [19,20].
The aim of this study was to evaluate 68Ga-PSMA-11 PET-derived parameters (SU-Vpeak and the normalization over the healthy liver tissue uptake/tumor-to-liver ratio/TLR) as potential tools for monitoring 177Lu-PSMA-617 RLT. Molecular imaging-based response assessment using the modified PERCIST criteria was compared with biochemical response assessment using the established biomarker serum PSA. Furthermore, the potential value of these PET-derived parameters for the prediction of progression-free survival outcome was evaluated.

2. Materials and Methods

2.1. Patients and Ethics

The study population included patients with late-stage/end-stage mCRPC, who underwent 177Lu-PSMA-617 RLT at our institution. Inclusion requirements for this study were histologically confirmed mCRPC, at least 2 cycles of 177Lu-PSMA-617 RLT, 68Ga-PSMA-11 PET/CT about 2 weeks before the first and 4–6 weeks after the second cycle of 177Lu-PSMA-617 RLT, and availability of clinical outcome data. Furthermore, intense PSMA expression of all tumor lesions on pre-treatment 68Ga-PSMA-11 PET/CT, defined visually, as tumoral uptake higher than liver uptake was required. The standard decision approach in choosing 177Lu-PSMA-617 RLT was based on multidisciplinary tumor board discussion and was in accordance with German healthcare reimbursement specifications.
This therapy was performed on a compassionate use basis under the German Pharmaceutical Act §13 (2b). Patients gave written consent after being thoroughly informed about the risks and potential side effects of this intervention. Additionally, patients consented to publication of any resulting data in accordance with the Declaration of Helsinki. The analysis was approved by the local institutional review board (ethics committee permission number 140/17).

2.2. 177Lu-PSMA-617 RLT

Each patient received two cycles of 177Lu-PSMA-617 RLT with mean cumulative administered activities of 12.9 GBq (range: 9.1–16.9). Patients continued their androgen deprivation therapy (ADT). Patients were excluded if they underwent changes in ADT regimens between scans at baseline and restaging after two cycles. ADT, especially enzalutamide, can alter the PSMA expression in prostate carcinoma cells [21] and may therefore falsify SUV measurements.
PSMA-617 was obtained from ABX advanced biochemical compounds GmbH (Radeberg, Germany) and 177Lu from IDB Holland BV (Baarle-Nassau, The Netherlands). Production and quality control of 177Lu-PSMA-617 was accomplished analogously to a published methodology [9]. For a typical labeling, 150 μg (143 nmol) PSMA-617 was used for 6 GBq of 177Lu. Radiochemical yields and purity of the radiotracer were ≥99%.

2.3. 68Ga-PSMA-11 PET-CT Imaging and Data Acquisition

A mean activity of 68Ga-PSMA-11 of 120 ± 19 MBq was administered intravenously, followed by a 500 mL infusion of NaCl 0.9%. No diuretics were applied. The mean time between injection and PET acquisition was approximately 60 min according to standard procedures for prostate cancer imaging [22]. PET/CT datasets were acquired on a Biograph 40 mCT PET/CT scanner (Siemens Medical Solutions, Knoxville, TN, USA) (acquisition time: 3 min/bed position; extended FOV: 21.4 cm (TrueV), slice thickness: 3.0 mm) with EANM Research Ltd. accreditation. A standard LD spiral CT was acquired for attenuation correction and anatomical localization using an X-ray tube voltage of 120 keV and a modulation of the tube current applying CARE Dose4D with a reference tube current of 50 mAs. CT images were reconstructed as a 512 × 512 matrix with an increment of 3 mm and a slice thickness of 5.0 mm. The PET images were iteratively reconstructed using the three-dimensional OSEM (ordered-subset expectation maximization) algorithm with 3 iterations, 24 subsets, and with Gaussian filtering to a transaxial resolution of 5 mm at full-width at half-maximum (FWHM). Attenuation correction was performed using the low-dose non-enhanced CT data.

2.4. Biochemical Response Assessment

Biochemical response to 177Lu-PSMA-617 RLT was measured in terms of serum PSA level. Biochemical partial response (PRPSA) was defined as a decrease in serum PSA level of ≥50% from the baseline value. Stable disease (SDPSA) was defined as an intermediate change of serum PSA level between −50% and +25%. Progressive disease (PDPSA) was defined using the Prostate Cancer Working Group 3 criteria (PCWG3) [11] as an increase in serum PSA level of ≥25% and at least 2 ng/mL.

2.5. Molecular Imaging-Based Response Assessment

The response to 177Lu-PSMA-617 RLT was assessed by 68Ga-PSMA-11 PET/CT. Assuming that 177Lu-PSMA-617 RLT had different effects on metastases in different organs, as reported by Kulkarni et al. [23] with lymph node metastases responding better to this treatment than bone metastases, we included a five-organ system per patient in the response assessment, as previously described by Seitz et al. [24]. These comprised lymph nodes, bones, liver, prostate or prostate bed, and other organs. For each organ, the three lesions with the highest PSMA uptake on 68Ga-PSMA-11 PET/CT were identified as target lesions and included in this analysis. Using the volume region of interest, SUVpeak of the tumor lesions and SUVmean of healthy liver tissue were measured. Then, the sum of the SUVpeak of all included lesions was divided by the SUVmean of the liver to calculate the tumor-to-liver ratio (TLR). This method was applied to each individual patient at each time point (before the first and after the second cycle of RLT).
For molecular imaging-based response assessment, the PET Response Criteria in Solid Tumors (PERCIST) 1.0 were slightly modified [25] and then used to interpret post treatment changes. Here, the following definitions were made: Molecular imaging-based partial response (PRSUV or PRTLR) represents a decrease of >30% of summed SUVpeak or TLR, respectively. Progressive disease (PDSUV or PDTLR) was defined as an increase of >30% of SUVpeak or TLR, respectively, or appearance of any new lesion. A change within the range of +30% and −30% was considered a stable disease (SDSUV or SDTLR).

2.6. Statistics and Survival Assessment

Data on patient characteristics, treatment-related data, and response analyses are presented descriptively and analyzed regarding association with progression-free survival (PFS). PFS was defined as the interval from the start of 177Lu-PSMA-617 RLT to documented PSA progression (as defined using the Prostate Cancer Working Group 3 criteria (PCWG3) or death (cut-off date: 30 March 2021). Patients were independently categorized as responder (partial response) or non-responder (stable or progressive disease), either by molecular imaging-based response or biochemical response assessment.
The examined patient, disease, and treatment characteristics included age, performance status, hemoglobin, alkaline phosphatase (ALP), prior chemotherapy, presence of visceral metastasis, diffuse bone marrow involvement, tumor burden on 68Ga-PSMA-11 PET/CT (low-moderate vs. high) at baseline, and PSA levels. Total tumor burden at baseline were visually classified in low, moderate, or high in analogy to Gaertner et al. [26]. Characteristics furthermore included the cumulative 177Lu-PSMA-617 activity of the first 2 cycles of RLT, PSA response after two cycles, and the molecular imaging-based response by modified PERCIST criteria starting with the first 177Lu-PSMA-617 administration. Variables were analyzed categorically. For age, performance status, hemoglobin level, ALP level, and PSA level at the start of 177Lu-PSMA-617 RLT, respective arbitrary cut-offs of 65 years, ECOG 1, 12 g/dL, 220 U/L, and 230 ng/mL were employed. Because of inhomogeneously administered 177Lu-PSMA-617 activities, we divided the study cohort into two groups: patients who received more than 13 GBq, and those that received equal to or less than 13 GBq cumulative activities in the first 2 cycles of RLT.
PFS was analyzed using Kaplan–Meier statistics. To identify predictors of this endpoint, multivariable Cox proportional-hazards modeling was performed using a stepwise model by backward elimination. Factors with moderate significance (p < 0.15) in univariate analysis were included in the multivariable analysis. Correlation between molecular imaging-based response (∆TLR, ∆SUV) and biochemical response (∆PSA) was calculated using Spearman’s rank correlation test. Cohen’s κ was used to assess the degree of agreement among the response variables. The significance level for all tests was p < 0.05. SPSS version 23 (SPSS Inc., Chicago, IL, USA) and Prism 8 software (GraphPad Software, San Diego, CA, USA) were used.

3. Results

The data of 51 patients who met the inclusion criteria were retrospectively analyzed (characteristics summarized in Table 1). A total of 322 tumor lesions on screening 68Ga-PSMA-PET/CT in 51 patients were identified as target lesions in the defined five-organ system and evaluated in this study. These included 142 bone metastases (in 48 patients), 110 lymph node metastases (in 40 patients), 30 liver metastases (in 12 patients), 22 lesions in the prostate bed (in 22 patients), and 18 other metastases (in 10 patients).
The Spearman test showed a significant correlation between changes in ∆PSA and ∆SUV, and between ∆PSA and ∆TLR, in the comparison of the parameters before and after two cycles of RLT (p < 0.001, each). The correlation was slightly better between ∆PSA and ∆TLR than the correlation between ∆PSA and ∆SUV (rTLR = 0.63 vs. rSUV = 0.57), Figure 1.

3.1. Biochemical and Molecular-Imaging Response Assessment

Thirty-one patients (61%) showed partial biochemical response (PRPSA), 18 patients (35%) stable disease (SDPSA), and two patients (4%) progressive disease (PDPSA). Using molecular-imaging based response assessed by SUVpeak, 37 patients (73%) showed partial response (PRSUV), 12 patients (23%) stable disease (SDSUV), and two patients (4%) progressive disease (PDSUV). Response assessment using TLR gave similar results, with PRTLR in 35 patients (69%), SDTLR in 13 patients (25%), and PDTLR in three patients (6%). A comparison of the used response assessment methods showed a moderate agreement (Cohen’s κ = 0.45) with a concordance of 76% (39/51) between SUV and PSA, and a substantial agreement (Cohen’s κ = 0.61) with a concordance of 82% (42/51) between TLR and PSA. The concordance between TLR and SUV was 88% (45/51). With the exception of two patients, all subjects showing partial remission by PSA also showed partial remission by TLR. One of these two patients was classified by molecular imaging-based response as having disease progression due to appearance of new metastases (Figure 2) and the other patient as stable disease. The majority of discrepancies were found in patients with stable disease by PSA (Figure 3A). Two patients showed concordance with progressive disease by both methods. With the exception of three patients, all who showed partial remission by PSA also showed partial remission by SUV. Of these, one patient was classified as having disease progression due to the appearance of new metastases (Figure 2) and two patients as having stable disease. The majority of discrepancies were found in patients with stable disease by PSA (Figure 3B). Two patients showed concordance with progressive disease by both methods. Representative structural responses to 177Lu-PSMA-617 RLT are shown in Figure 2 and Figure 4.

3.2. Survival Analysis

Median (minimum–maximum) follow-up was 49.0 (6.0–64.4) months following the first 177Lu-PSMA-617 RLT administration. Forty patients (78.4%) died by the end of the study. All deaths were mCRPC related. No treatment-related mortality was observed. The median (95% CI) OS was 14.7 (11.2–18.2) months. Disease progression events were documented in 44 men (86.3%). The median (95% CI) PFS was 8.0 (5.9–10.1) months. Two factors related to response to 177Lu-PSMA-617 RLT and one factor related to patient’s characteristics were significantly associated with PFS in univariate analysis (Table 2).
Responders showing biochemical partial remission (PRPSA) after two cycles of 177Lu-PSMA-617 RLT had significantly longer PFS than non-responders (SD PSA or PD PSA) with a median PFS (95% CI) of 10.5 (8.2–12.8) versus 4.0 (2.1–5.9) months (p < 0.001, log-rank test). The corresponding Kaplan–Meier curves are shown in Figure 5.
Response on molecular imaging using TLR after two cycles of 177Lu-PSMA-617 RLT was associated with longer PFS (Table 2). Patients with PRTLR had a median PFS (95% CI) of 9.3 (6.9–11.7) months versus 3.5 (0.9–6.1) months for non-responders who showed SDTLR or PDTLR (p ≤ 0.001, log-rank test). The corresponding Kaplan–Meier curves are shown in Figure 6.
There was no significant outcome difference between responders and non-responders in the molecular-imaging based response assessment using SUVpeak with a median PFS of 9.2 (7.5–10.9) months versus 5.0 (0.9–9.0), for responders and non-responders, respectively, p = 0.302. The corresponding Kaplan–Meier curves are shown in Figure 7. The general condition of the patient at baseline was also related to PFS. Median (95% CI) PFS was 9.3 (7.4–11.2) months in men with ECOG 0-1 versus 4.4 (2.4–6.5) months in those with ECOG > 1 (p ≤ 0.001, log-rank test).
In the multivariable analysis, partial response in the molecular-imaging based response assessment using TLR (PRTLR) remained an independent predictor for PFS with a HR (95% CI) of 0.27 (0.14–0.54; p < 0.001). Preserved patient performance score (ECOG 0-1) also remained as an independent predictor of PFS with a HR (95% CI) of 0.26 (0.12–0.56; p = 0.002). Biochemical response based on serum PSA levels did not remain independently significant in multivariable analysis (p = 0.091).

4. Discussion

The aim of this study was to investigate the feasibility of 68Ga-PSMA-11 PET/CT for response assessment and outcome prediction of 177Lu-PSMA-617 RLT given to patients with mCRPC. For this purpose, molecular imaging-based response and biochemical response after two cycles of 177Lu-PSMA-617 RLT in 51 patients were evaluated. Molecular imaging-based response using 68Ga-PSMA-11 PET-derived parameters (SUVpeak and tumor-to-liver ratio: TLR) was assessed by a five-organ system and modified PERCIST criteria. Biochemical response was measured in terms of serum PSA level and assessed using PCWG3.
This is the first study to demonstrate that response assessment based on molecular imaging with 68Ga-PSMA-11 PET/CT using normalization of tumoral PSMA uptake over healthy liver tissue (TLR) is a predictor of outcome (PFS) in patients with late-stage mCRPC treated with 177Lu-PSMA-617 RLT. After two cycles of 177Lu-PSMA-617 RLT, responders (PRTLR) had a significantly lower risk for disease progression or death in comparison to non-responders (SDTLR or PDTLR). On the contrary, molecular imaging response assessment using SUVpeak failed to predict PFS in univariate analysis; responders (PRSUV) had a median PFS of 9.2 months versus 5.0 months in non-responders (SDSUV or PDSUV), p = 0.302. Recently published studies that also addressed the role of 68Ga-PSMA-11 PET/CT in assessing response to 177Lu-PSMA-617 RLT similarly reported no predictive value of SUV alone, either for response or for survival [19,20]. One potential explanation is the known existence of error sources for SUV measurements, such as incubation time variations, inaccurate weight assessments, and extravasation of injected activity, resulting in suboptimal test/retest accuracy [27]. These shortcomings were mostly overcome by normalization of SUV measurements over the uptake of a reference organ. In our study, healthy liver tissue was chosen as the reference region because of little potential 177Lu-PSMA-617 RLT related toxicity and possible changes in tracer uptake of baseline versus interim PET compared to other sites of physiologic uptake, such as kidneys or salivary glands, as known from PSMA dosimetry reports [28]. Moreover, liver SUV assessments are facilitated by the generally homogenous physiological PSMA expression and the ease of obtaining a representative area for VOI placement, even in patients with liver metastases. The chosen method of SUV normalization over liver proved to have a high impact regarding survival prediction, which might be seen to be analogous to the TLR parameter in FDG PET for lymphoma response assessment, which is well established and superior to merely (non-normalized) SUV-based response classifications [29].
Regarding the two molecular imaging biomarkers, SUVpeak and newly introduced TLR, the correlation with the biochemical biomarker PSA showed minor differences. In our cohort, we documented a PSA decline >50% after two 2 cycles of 177Lu-PSMA-617 RLT in 61% of patients. By molecular imaging-based response assessment, partial response was observed in 73% of patients using SUVpeak and in 68% of patients using TLR. These results are in agreement with previously published reports showing efficacy of this treatment modality in advanced mCRPC [8,30,31]. The correlation between ∆SUVpeak and ∆PSA was significant, although with only a moderate r value (rSUV = 0.57, p < 0.001), and ∆TLR showed slightly a superior correlation with ∆PSA (rTLR = 0.63, p ≤ 0.001). The resulting response categories (PR, SD, PR) were again associated with slightly superior concordance rates for TLR over SUVpeak: 76% (SUVpeak vs. PSA) and 82% (TLR vs. PSA). Similar concordance values of 65–87% between PSA and SUV changes have been reported in other studies with different cohorts of patients with prostate cancer [31,32]. However, to our knowledge, this is the first study to show the correlation between PSA and TLR.
Serum PSA level is the most widely used parameter for treatment monitoring in daily routine and in prospective trials dealing with advanced prostate cancer. In addition, in 177Lu-PSMA RLT studies, ∆PSA during or at the end of therapy is a commonly used biomarker to evaluate treatment success. In a phase II prospective trial of 177Lu-PSMA-617 in mCRPC, Violet et al. reported that patients achieving a PSA decline >50% had a longer PFS than those without this decline [33]. Our data confirms this predictive power of PSA decline in the early response assessment. However, in multivariable analysis, this parameter lost the independent predictive impact, apparently due to its strong association with ∆TLR, which proved slightly superior to ∆PSA for prediction of PFS; that is, response by PSA and response by TLR were very similar in our cohort and thus not independent from each other. The more accurate predictor of PFS, ∆TLR, remained as an independent predictor, whereas ∆PSA was removed as an “independent predictor” within multivariable analysis. Nevertheless, ∆PSA was significantly associated with PFS in univariate analysis (p < 0.001). One should note that serial PSA measurements may sometimes miss disease progression, as concluded by authors from a large study (post hoc analysis of the PREVAIL trial) including n = 872 mCRPC patients undergoing enzalutamide treatment versus placebo [34]. In their conclusion, they state that “Non-rising PSA at radiographic progression is a common phenomenon in mCRPC patients treated with enzalutamide”. Furthermore, “Therefore, a disease monitoring strategy that includes imaging not entirely reliant on serial serum PSA measurement may more accurately identify disease progression”. Recently Michalski et al. published data regarding assessment of the response to 177Lu-PSMA radioligand therapy using modified PSMA PET Progression Criteria [35]. They found that progression according to modified PPP criteria was a significant prognostic marker for OS (p < 0.001) with a hazard ratio (HR) of 15.5 (95% CI 3.4–70.2). In contrast, the response of serum PSA level was not significant (p = 0.12). However, there are some methodological differences with our study; namely, they analyzed the response using serum PSA at the end of therapy (in our study, after two cycles) and stratified the patients as progressive versus non-progressive (in our study, as responders versus non-responders), and analyzed the predictor for OS (in our study, for PFS). Although not shown in this study, whether a less-marked PSA decline (less than 50%) as a cut-off for response may better distinguish associated PFS may eventually be shown by investigations with larger patient cohorts.
In addition, the patients’ performance status was an independent predictor of PFS in our study. Patients with a good general condition, defined as ECOG 0-1 at the start of 177Lu-PSMA-617 RLT, had significantly longer PFS than those with a worsened performance score (ECOG > 1). These results are in accordance with the literature [36] and with our previous study of hepatic metastasized mCRPC patients treated with 177Lu-PSMA-617 RLT [37].

5. Limitation

The main limitations of this study are its retrospective design and the small number of patients. Because interim staging after two cycles of 177Lu-PSMA-617 RLT was performed with PET-CT consisting of non-contrast enhanced low-dose CT, it was not possible to define the response using Response Criteria in Solid Tumors. Furthermore, the five-organ system includes metastases from different sites but does not reflect the total viable tumor burden. Therefore, using total tumor volume parameters, especially in patients with mixed responses, might be of advantage by reflecting the total viable PSMA expressing tumor burden in contrast to selected target lesions. Another limitation that may affect liver SUV measurements is the presence of disseminated liver metastasis, but this is rare in the mCRPC setting.

6. Conclusions

68Ga-PSMA-11 PET-derived response assessment based on normalization of tumoral PSMA expression to normal liver tissue (TLR) may be an appropriate biomarker for monitoring 177Lu-PSMA-617 RLT in mCRPC patients and predicting survival outcome (PFS) of this treatment modality. Our study indicates the superiority of using liver-normalized tumor SUV values for molecular response assessment in this setting compared to the use of standard tumor SUV measurements, which are widely practiced at present. However, prospective studies with larger patient cohorts are needed to confirm these initial findings.

Author Contributions

Conceptualization, F.K., M.W., F.R. and S.E.; methodology, M.W., F.R., A.S. and F.K.; software, M.W., F.R., S.M.; validation, F.K., S.M. and J.L.; formal analysis, M.W., F.K., Z.G. and A.S.; investigation, J.L., S.E. and M.B. and S.E.; data curation, M.W, Z.G., S.M. and F.K.; writing—original draft preparation, M.W. and F.K.; writing—review and editing, M.B., J.L., A.S. and S.E.; visualization, F.K., S.M., M.B.; supervision, Z.G., F.R. and F.K.; project administration, Z.G., F.K. and S.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of Ärztekammer des Saarlandes/Saarbrücken (decision 140/17).

Informed Consent Statement

Written informed consent for 177Lu-PSMA-617 RLT and use of their de-identified data in scientific analyses and reports was obtained from all study participants.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare that they have no financial or non-financial competing interests regarding the subject of this report.

Ethical Approval

All procedures performed in the patients described herein were in accordance with the ethical standards of the Institutional and/or National Research Ethics Committees and with the 1964 Helsinki Declaration and its later amendments, or with comparable ethical standards. This report does not include any animal studies.

References

  1. Kirby, M.; Hirst, C.; Crawford, E.D. Characterising the Castration-Resistant Prostate Cancer Population: A Systematic Review: The Epidemiology of CRPC. Int. J. Clin. Pract. 2011, 65, 1180–1192. [Google Scholar] [CrossRef] [PubMed]
  2. Tannock, I.F.; De Wit, R.; Berry, W.R.; Horti, J.; Pluzanska, A.; Chi, K.N.; Oudard, S.; Theodore, C.; James, N.D.; Turesson, I.; et al. Docetaxel plus Prednisone or Mitoxantrone plus Prednisone for Advanced Prostate Cancer. N. Engl. J. Med. 2004, 351, 1502–1512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. de Bono, J.S.; Oudard, S.; Ozguroglu, M.; Hansen, S.; Machiels, J.-P.; Kocak, I.; Gravis, G.; Bodrogi, I.; Mackenzie, M.J.; Shen, L.; et al. Prednisone plus Cabazitaxel or Mitoxantrone for Metastatic Castration-Resistant Prostate Cancer Progressing after Docetaxel Treatment: A Randomised Open-Label Trial. Lancet 2010, 376, 1147–1154. [Google Scholar] [CrossRef]
  4. Scher, H.I.; Fizazi, K.; Saad, F.; Taplin, M.-E.; Sternberg, C.N.; Miller, K.; de Wit, R.; Mulders, P.; Chi, K.N.; Shore, N.D.; et al. Increased Survival with Enzalutamide in Prostate Cancer after Chemotherapy. N. Engl. J. Med. 2012, 367, 1187–1197. [Google Scholar] [CrossRef] [Green Version]
  5. de Bono, J.S.; Logothetis, C.J.; Molina, A.; Fizazi, K.; North, S.; Chu, L.; Chi, K.N.; Jones, R.J.; Goodman, O.B.; Saad, F.; et al. Abiraterone and Increased Survival in Metastatic Prostate Cancer. N. Engl. J. Med. 2011, 364, 1995–2005. [Google Scholar] [CrossRef]
  6. Parker, C.; Nilsson, S.; Heinrich, D.; Helle, S.I.; O’Sullivan, J.M.; Fosså, S.D.; Chodacki, A.; Wiechno, P.; Logue, J.; Seke, M.; et al. Alpha Emitter Radium-223 and Survival in Metastatic Prostate Cancer. N. Engl. J. Med. 2013, 369, 213–223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Hofman, M.S.; Violet, J.; Hicks, R.J.; Ferdinandus, J.; Thang, S.P.; Akhurst, T.; Iravani, A.; Kong, G.; Ravi Kumar, A.; Murphy, D.G.; et al. [177Lu]-PSMA-617 Radionuclide Treatment in Patients with Metastatic Castration-Resistant Prostate Cancer (LuPSMA Trial): A Single-Centre, Single-Arm, Phase 2 Study. Lancet Oncol. 2018, 19, 825–833. [Google Scholar] [CrossRef]
  8. Rahbar, K.; Ahmadzadehfar, H.; Kratochwil, C.; Haberkorn, U.; Schäfers, M.; Essler, M.; Baum, R.P.; Kulkarni, H.R.; Schmidt, M.; Drzezga, A.; et al. German Multicenter Study Investigating 177Lu-PSMA-617 Radioligand Therapy in Advanced Prostate Cancer Patients. J. Nucl. Med. Off. Publ. Soc. Nucl. Med. 2017, 58, 85–90. [Google Scholar] [CrossRef] [Green Version]
  9. Kratochwil, C.; Giesel, F.L.; Stefanova, M.; Benešová, M.; Bronzel, M.; Afshar-Oromieh, A.; Mier, W.; Eder, M.; Kopka, K.; Haberkorn, U. PSMA-Targeted Radionuclide Therapy of Metastatic Castration-Resistant Prostate Cancer with 177Lu-Labeled PSMA-617. J. Nucl. Med. 2016, 57, 1170–1176. [Google Scholar] [CrossRef] [Green Version]
  10. Emmett, L.; Crumbaker, M.; Ho, B.; Willowson, K.; Eu, P.; Ratnayake, L.; Epstein, R.; Blanksby, A.; Horvath, L.; Guminski, A.; et al. Results of a Prospective Phase 2 Pilot Trial of 177Lu-PSMA-617 Therapy for Metastatic Castration-Resistant Prostate Cancer Including Imaging Predictors of Treatment Response and Patterns of Progression. Clin. Genitourin. Cancer 2019, 17, 15–22. [Google Scholar] [CrossRef]
  11. Scher, H.I.; Morris, M.J.; Stadler, W.M.; Higano, C.; Basch, E.; Fizazi, K.; Antonarakis, E.S.; Beer, T.M.; Carducci, M.A.; Chi, K.N.; et al. Trial Design and Objectives for Castration-Resistant Prostate Cancer: Updated Recommendations From the Prostate Cancer Clinical Trials Working Group 3. J. Clin. Oncol. 2016, 34, 1402–1418. [Google Scholar] [CrossRef] [Green Version]
  12. Ceci, F.; Castellucci, P.; Graziani, T.; Schiavina, R.; Renzi, R.; Borghesi, M.; Di Tullio, P.; Brunocilla, E.; Ardizzoni, A.; Fanti, S. (11)C-Choline PET/CT in Castration-Resistant Prostate Cancer Patients Treated with Docetaxel. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 84–91. [Google Scholar] [CrossRef]
  13. Giorgi, U.D.; Caroli, P.; Burgio, S.L.; Menna, C.; Conteduca, V.; Bianchi, E.; Fabbri, F.; Carretta, E.; Amadori, D.; Paganelli, G.; et al. Early Outcome Prediction on 18F-Fluorocholine PET/CT in Metastatic Castration-Resistant Prostate Cancer Patients Treated with Abiraterone. Oncotarget 2014, 5, 12448–12458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. De Giorgi, U.; Caroli, P.; Scarpi, E.; Conteduca, V.; Burgio, S.L.; Menna, C.; Moretti, A.; Galassi, R.; Rossi, L.; Amadori, D.; et al. (18)F-Fluorocholine PET/CT for Early Response Assessment in Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Enzalutamide. Eur. J. Nucl. Med. Mol. Imaging 2015, 42, 1276–1283. [Google Scholar] [CrossRef]
  15. Cytawa, W.; Seitz, A.K.; Kircher, S.; Fukushima, K.; Tran-Gia, J.; Schirbel, A.; Bandurski, T.; Lass, P.; Krebs, M.; Połom, W.; et al. 68Ga-PSMA I&T PET/CT for Primary Staging of Prostate Cancer. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 168–177. [Google Scholar] [CrossRef]
  16. De Visschere, P.J.L.; Standaert, C.; Fütterer, J.J.; Villeirs, G.M.; Panebianco, V.; Walz, J.; Maurer, T.; Hadaschik, B.A.; Lecouvet, F.E.; Giannarini, G.; et al. A Systematic Review on the Role of Imaging in Early Recurrent Prostate Cancer. Eur. Urol. Oncol. 2019, 2, 47–76. [Google Scholar] [CrossRef] [PubMed]
  17. Fendler, W.P.; Weber, M.; Iravani, A.; Hofman, M.S.; Calais, J.; Czernin, J.; Ilhan, H.; Saad, F.; Small, E.J.; Smith, M.R.; et al. Prostate-Specific Membrane Antigen Ligand Positron Emission Tomography in Men with Nonmetastatic Castration-Resistant Prostate Cancer. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2019, 25, 7448–7454. [Google Scholar] [CrossRef] [Green Version]
  18. Violet, J.; Jackson, P.; Ferdinandus, J.; Sandhu, S.; Akhurst, T.; Iravani, A.; Kong, G.; Kumar, A.R.; Thang, S.P.; Eu, P.; et al. Dosimetry of 177Lu-PSMA-617 in Metastatic Castration-Resistant Prostate Cancer: Correlations Between Pretherapeutic Imaging and Whole-Body Tumor Dosimetry with Treatment Outcomes. J. Nucl. Med. 2019, 60, 517–523. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Grubmüller, B.; Senn, D.; Kramer, G.; Baltzer, P.; D’Andrea, D.; Grubmüller, K.H.; Mitterhauser, M.; Eidherr, H.; Haug, A.R.; Wadsak, W.; et al. Response Assessment Using 68Ga-PSMA Ligand PET in Patients Undergoing 177Lu-PSMA Radioligand Therapy for Metastatic Castration-Resistant Prostate Cancer. Eur. J. Nucl. Med. Mol. Imaging 2019, 46, 1063–1072. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Heinzel, A.; Boghos, D.; Mottaghy, F.M.; Gaertner, F.; Essler, M.; von Mallek, D.; Ahmadzadehfar, H. 68Ga-PSMA PET/CT for Monitoring Response to 177Lu-PSMA-617 Radioligand Therapy in Patients with Metastatic Castration-Resistant Prostate Cancer. Eur. J. Nucl. Med. Mol. Imaging 2019, 46, 1054–1062. [Google Scholar] [CrossRef] [PubMed]
  21. Rosar, F.; Dewes, S.; Ries, M.; Schaefer, A.; Khreish, F.; Maus, S.; Bohnenberger, H.; Linxweiler, J.; Bartholomä, M.; Ohlmann, C.; et al. New Insights in the Paradigm of Upregulation of Tumoral PSMA Expression by Androgen Receptor Blockade: Enzalutamide Induces PSMA Upregulation in Castration-Resistant Prostate Cancer Even in Patients Having Previously Progressed on Enzalutamide. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 687–694. [Google Scholar] [CrossRef]
  22. Fendler, W.P.; Eiber, M.; Beheshti, M.; Bomanji, J.; Ceci, F.; Cho, S.; Giesel, F.; Haberkorn, U.; Hope, T.A.; Kopka, K.; et al. 68Ga-PSMA PET/CT: Joint EANM and SNMMI Procedure Guideline for Prostate Cancer Imaging: Version 1.0. Eur. J. Nucl. Med. Mol. Imaging 2017, 44, 1014–1024. [Google Scholar] [CrossRef]
  23. Kulkarni, H.R.; Singh, A.; Schuchardt, C.; Niepsch, K.; Sayeg, M.; Leshch, Y.; Wester, H.-J.; Baum, R.P. PSMA-Based Radioligand Therapy for Metastatic Castration-Resistant Prostate Cancer: The Bad Berka Experience Since 2013. J. Nucl. Med. Off. Publ. Soc. Nucl. Med. 2016, 57, 97S–104S. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Seitz, A.K.; Rauscher, I.; Haller, B.; Krönke, M.; Luther, S.; Heck, M.M.; Horn, T.; Gschwend, J.E.; Schwaiger, M.; Eiber, M.; et al. Preliminary Results on Response Assessment Using 68Ga-HBED-CC-PSMA PET/CT in Patients with Metastatic Prostate Cancer Undergoing Docetaxel Chemotherapy. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 602–612. [Google Scholar] [CrossRef]
  25. Wahl, R.L.; Jacene, H.; Kasamon, Y.; Lodge, M.A. From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors. J. Nucl. Med. Off. Publ. Soc. Nucl. Med. 2009, 50, 122S–150S. [Google Scholar] [CrossRef] [Green Version]
  26. Gaertner, F.C.; Halabi, K.; Ahmadzadehfar, H.; Kürpig, S.; Eppard, E.; Kotsikopoulos, C.; Liakos, N.; Bundschuh, R.A.; Strunk, H.; Essler, M. Uptake of PSMA-Ligands in Normal Tissues Is Dependent on Tumor Load in Patients with Prostate Cancer. Oncotarget 2017, 8, 55094–55103. [Google Scholar] [CrossRef]
  27. Hofheinz, F.; Bütof, R.; Apostolova, I.; Zöphel, K.; Steffen, I.G.; Amthauer, H.; Kotzerke, J.; Baumann, M.; van den Hoff, J. An Investigation of the Relation between Tumor-to-Liver Ratio (TLR) and Tumor-to-Blood Standard Uptake Ratio (SUR) in Oncological FDG PET. EJNMMI Res. 2016, 6, 19. [Google Scholar] [CrossRef] [Green Version]
  28. Kabasakal, L.; Toklu, T.; Yeyin, N.; Demirci, E.; Abuqbeitah, M.; Ocak, M.; Aygün, A.; Karayel, E.; Pehlivanoğlu, H.; Alan Selçuk, N. Lu-177-PSMA-617 Prostate-Specific Membrane Antigen Inhibitor Therapy in Patients with Castration-Resistant Prostate Cancer: Stability, Bio-Distribution and Dosimetry. Malecular Imaging Radionucl. Ther. 2017, 26, 62–68. [Google Scholar] [CrossRef] [PubMed]
  29. Cheson, B.D.; Fisher, R.I.; Barrington, S.F.; Cavalli, F.; Schwartz, L.H.; Zucca, E.; Lister, T.A. Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification. J. Clin. Oncol. 2014, 32, 3059–3067. [Google Scholar] [CrossRef]
  30. Ahmadzadehfar, H.; Wegen, S.; Yordanova, A.; Fimmers, R.; Kürpig, S.; Eppard, E.; Wei, X.; Schlenkhoff, C.; Hauser, S.; Essler, M. Overall Survival and Response Pattern of Castration-Resistant Metastatic Prostate Cancer to Multiple Cycles of Radioligand Therapy Using [177Lu]Lu-PSMA-617. Eur. J. Nucl. Med. Mol. Imaging 2017, 44, 1448–1454. [Google Scholar] [CrossRef] [PubMed]
  31. Michalski, K.; Mix, M.; Meyer, P.T.; Ruf, J. Determination of Whole-Body Tumour Burden on [68Ga]PSMA-11 PET/CT for Response Assessment of [177Lu]PSMA-617 Radioligand Therapy: A Retrospective Analysis of Serum PSA Level and Imaging Derived Parameters before and after Two Cycles of Therapy. Nuklearmedizin 2019, 58, 443–450. [Google Scholar] [CrossRef]
  32. Schmuck, S.; von Klot, C.A.; Henkenberens, C.; Sohns, J.M.; Christiansen, H.; Wester, H.-J.; Ross, T.L.; Bengel, F.M.; Derlin, T. Initial Experience with Volumetric 68Ga-PSMA I&T PET/CT for Assessment of Whole-Body Tumor Burden as a Quantitative Imaging Biomarker in Patients with Prostate Cancer. J. Nucl. Med. 2017, 58, 1962–1968. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Violet, J.; Sandhu, S.; Iravani, A.; Ferdinandus, J.; Thang, S.-P.; Kong, G.; Kumar, A.R.; Akhurst, T.; Pattison, D.A.; Beaulieu, A.; et al. Long-Term Follow-up and Outcomes of Retreatment in an Expanded 50-Patient Single-Center Phase II Prospective Trial of 177Lu-PSMA-617 Theranostics in Metastatic Castration-Resistant Prostate Cancer. J. Nucl. Med. Off. Publ. Soc. Nucl. Med. 2020, 61, 857–865. [Google Scholar] [CrossRef] [PubMed]
  34. Bryce, A.H. Radiographic Progression with Nonrising PSA in Metastatic Castration-Resistant Prostate Cancer: Post Hoc Analysis of PREVAIL. Prostate Cancer Prostatic Dis. 2017, 20, 221–227. [Google Scholar] [CrossRef] [PubMed]
  35. Michalski, K.; Klein, C.; Brueggemann, T.; Meyer, P.T.; Jilg, C.A.; Ruf, J. Assessing Response to [177Lu]PSMA Radioligand Therapy Using Modified PSMA PET Progression Criteria. J. Nucl. Med. 2021. [Google Scholar] [CrossRef]
  36. Halabi, S.; Lin, C.-Y.; Kelly, W.K.; Fizazi, K.S.; Moul, J.W.; Kaplan, E.B.; Morris, M.J.; Small, E.J. Updated Prognostic Model for Predicting Overall Survival in First-Line Chemotherapy for Patients with Metastatic Castration-Resistant Prostate Cancer. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2014, 32, 671–677. [Google Scholar] [CrossRef]
  37. Khreish, F.; Kochems, N.; Rosar, F.; Sabet, A.; Ries, M.; Maus, S.; Saar, M.; Bartholomä, M.; Ezziddin, S. Response and Outcome of Liver Metastases in Patients with Metastatic Castration-Resistant Prostate Cancer (MCRPC) Undergoing 177Lu-PSMA-617 Radioligand Therapy. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 103–112. [Google Scholar] [CrossRef] [PubMed]
Biomolecules 11 01099 g001 550
Figure 1. Correlation between ∆PSA and (A) ∆TLR and (B) ∆SUV. The blue dotted line is localized at −50% PSA change and the green dotted line at −30% of TLR/SUV.
Figure 1. Correlation between ∆PSA and (A) ∆TLR and (B) ∆SUV. The blue dotted line is localized at −50% PSA change and the green dotted line at −30% of TLR/SUV.
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Figure 2. Progression with appearance of new metastases illustrated by 68Ga-PSMA-11 PET/CT maximum-intensity projection images (A) before and (B) 5 weeks after the second cycle of 177Lu-PSMA-617 RLT in a man with mCRPC. According to biochemical response based on serum PSA levels, the patient showed a partial remission.
Figure 2. Progression with appearance of new metastases illustrated by 68Ga-PSMA-11 PET/CT maximum-intensity projection images (A) before and (B) 5 weeks after the second cycle of 177Lu-PSMA-617 RLT in a man with mCRPC. According to biochemical response based on serum PSA levels, the patient showed a partial remission.
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Figure 3. Waterfall plots illustrating the relative changes in standard biochemical parameters (PSA) after two cycles of 177Lu-PSMA-617 RLT compared to the assessment in molecular-imaging based response with TLR (A) and SUV (B). Values marked with * highlight the discordant cases.
Figure 3. Waterfall plots illustrating the relative changes in standard biochemical parameters (PSA) after two cycles of 177Lu-PSMA-617 RLT compared to the assessment in molecular-imaging based response with TLR (A) and SUV (B). Values marked with * highlight the discordant cases.
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Figure 4. Concordant biochemical and molecular imaging-based response as illustrated by 68Ga-PSMA-11 PET/CT maximum-intensity projection images (A) before and (B) 6 weeks after the second cycle of 177Lu-PSMA-617 RLT in a man with mCRPC. The patient was classified as having partial remission by each of PSA, SUV, and TLR.
Figure 4. Concordant biochemical and molecular imaging-based response as illustrated by 68Ga-PSMA-11 PET/CT maximum-intensity projection images (A) before and (B) 6 weeks after the second cycle of 177Lu-PSMA-617 RLT in a man with mCRPC. The patient was classified as having partial remission by each of PSA, SUV, and TLR.
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Figure 5. Kaplan–Meier curves for PFS stratified by biochemical response using serum PSA change after two cycles of 177Lu-PSMA-617 RLT.
Figure 5. Kaplan–Meier curves for PFS stratified by biochemical response using serum PSA change after two cycles of 177Lu-PSMA-617 RLT.
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Figure 6. Kaplan–Meier curves for PFS stratified by molecular-imaging response assessment using TLR after two cycles of 177Lu-PSMA-617 RLT.
Figure 6. Kaplan–Meier curves for PFS stratified by molecular-imaging response assessment using TLR after two cycles of 177Lu-PSMA-617 RLT.
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Figure 7. Kaplan–Meier curves for PFS stratified by molecular-imaging response assessment using SUVpeak after two cycles of 177Lu-PSMA-617 RLT.
Figure 7. Kaplan–Meier curves for PFS stratified by molecular-imaging response assessment using SUVpeak after two cycles of 177Lu-PSMA-617 RLT.
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Table
Table 1. Patient characteristics.
Table 1. Patient characteristics.
Patient CharacteristicsValue, No. (%)
Number of Patients51
Number of therapeutic cycles2
Median Activity (Range) (GBq)12.9 (9.1–16.9)
Age
Median (Range)74.5 (49–89)
ECOG
0–140 (78%)
≥111 (22%)
Baseline PSA in ng/mL
Median (Range)235.5 (0.21–3266)
Baseline AP (U/L)
Median (Range)200 (133–1753)
AP ≥ 22010 (20%)
Previous therapies
Surgery (Prostatectomy)23 (45%)
ADT51 (100%)
External beam radiotherapy of prostate or prostate bed26 (51%)
Docetaxel or Cabazitaxel36 (71%)
≥2 lines of taxanes15 (29%)
Abiraterone or Enzalutamide47 (92%)
Both (Enzalutamide and Abiraterone)22 (43%)
223Ra therapy10 (20%)
Patterns of metastatic spread
Predominant lymph nodes12 (24%)
Predominant bone43 (84%)
Visceral organs18 (35%)
Table
Table 2. Relationship of PFS with selected factors in patients with mCRPC treated with 177Lu-PSMA-617.
Table 2. Relationship of PFS with selected factors in patients with mCRPC treated with 177Lu-PSMA-617.
Variable Category or
Categories		n
(%)		PFS,
Months		Univariate
Analysis		 Multivariable
Analysis
(95% CI)HR (95% CI)pHR (95% CI)p
Total51 (100%)8.0 (5.9–10.1)
Age
>65 yr42 (83%) 8.4 (6.4–10.4)-0.724--
≤65 yr9 (17%)5.7 (3.7–7.7)-
Performance status
ECOG ≤ 140 (78%)9.3 (7.4–11.2)0.25 (0.12–0.54)<0.0010.26 (0.12–0.56)0.002
ECOG > 111 (22%)4.4 (2.4–6.5)
Hemoglobin
HB > 13 g/dL21 (41%)8.0 (3.7–12.3)-0.782--
Hb ≤ 12 g/dL30 (59%)7.8 (5.5–10.1)
ALP
<220 U/L39 (76.5%)12.3 (9.7–14.9) 0.249
≥220 U/L12 (23.5%)9.2 (4.6–13.8)
Prior chemotherapy
No 15 (29%)9.3 (7.3–11.3)-0.862--
Yes36 (71%)7.2 (6.2–8.2)
Visceral metastases at basline
No33 (65%)8.4 (6.2–10.6)-0.529--
Yes18 (35%)6.7 (3.8–9.6)
Tumor burden
Low-moderate31 (61%)9.6 (6.7–12.5) 0.223
high20 (39%)6.7 (2.3–11.1)
Diffuse bone marrow involvment at basline
Yes15 (29%)8.4 (5.2–11.6)-0.838--
No 36 (71%)7.8 (5.7–9.9)
PSA level at start of 177Lu-PSMA-617 RLT
≤230 ng/mL26 (51%)8.4 (5.5–11.3)-0.757--
>230 ng/mL25 (49%)7.6 (6.1–9.1)
Cumulative 177Lu-PSMA-617 activity of the first 2 cycles RLT
≤13 GBq27 (53%)9.6 (6.0–13.2)-0.336--
>13 GBq24 (47%)7.2 (5.4–9.0)
Biochemical response after the first two cycles RLT
PRPSA31 (61%)10.5 (8.2–12.8)0.29 (0.16–0.56)<0.0010.24 (0.12–0.49)0.091
SDPSA or PDPSA20 (39%)4.0 (2.1–5.9)
Molecular-imaging response SUV after the first two cycles RLT
PRSUV37 (73%)9.2 (7.5–10.9)-0.302--
SDSUV or PDSUV14 (27%)5.0 (0.9–9.0)
Molecular-imaging response TLR after the first two cycles RLT
PRTLR35 (69%)9.3 (6.9–11.7)0.27 (0.15–0.53)<0.0010.27 (0.14–0.54)<0.001
SDTLR or PDTLR16 (31%)3.5 (0.9–6.1)
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Khreish, F.; Wiessner, M.; Rosar, F.; Ghazal, Z.; Sabet, A.; Maus, S.; Linxweiler, J.; Bartholomä, M.; Ezziddin, S. Response Assessment and Prediction of Progression-Free Survival by 68Ga-PSMA-11 PET/CT Based on Tumor-to-Liver Ratio (TLR) in Patients with mCRPC Undergoing 177Lu-PSMA-617 Radioligand Therapy. Biomolecules 2021, 11, 1099. https://doi.org/10.3390/biom11081099

AMA Style

Khreish F, Wiessner M, Rosar F, Ghazal Z, Sabet A, Maus S, Linxweiler J, Bartholomä M, Ezziddin S. Response Assessment and Prediction of Progression-Free Survival by 68Ga-PSMA-11 PET/CT Based on Tumor-to-Liver Ratio (TLR) in Patients with mCRPC Undergoing 177Lu-PSMA-617 Radioligand Therapy. Biomolecules. 2021; 11(8):1099. https://doi.org/10.3390/biom11081099

Chicago/Turabian Style

Khreish, Fadi, Mona Wiessner, Florian Rosar, Zaidoon Ghazal, Amir Sabet, Stephan Maus, Johannes Linxweiler, Mark Bartholomä, and Samer Ezziddin. 2021. "Response Assessment and Prediction of Progression-Free Survival by 68Ga-PSMA-11 PET/CT Based on Tumor-to-Liver Ratio (TLR) in Patients with mCRPC Undergoing 177Lu-PSMA-617 Radioligand Therapy" Biomolecules 11, no. 8: 1099. https://doi.org/10.3390/biom11081099

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