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Therapeutic Advances in Medical Oncology logoLink to Therapeutic Advances in Medical Oncology
. 2023 Mar 1;15:17588359231156392. doi: 10.1177/17588359231156392

Patient outcomes following a response biomarker-guided approach to treatment using 177Lu-PSMA-I&T in men with metastatic castrate-resistant prostate cancer (Re-SPECT)

Louise Emmett 1,2,3,4,, Nikeith John 5, Sarennya Pathmanandavel 6,7,8, William Counter 9, Maria Ayers 10, Shikha Sharma 11, Shikha Agrawal 12, Aron Poole 13, Elizabeth Hovey 14,15, Ganes Pranavan 16, Craig Gedye 17, Girish Mallesara 18, Alex Guminski 19, Adrian Lee 20, Martin R Stockler 21, Adam Hickey 22, Peter Eu 23, Anthony M Joshua 24, Megan Crumbaker 25,26,27, Andrew Nguyen 28,29
PMCID: PMC9983078  PMID: 36872949

Abstract

Background:

177LuPSMA is an effective treatment in metastatic castrate-resistant prostate cancer with trials adopting a standardised dose interval. Adjusting treatment intervals utilising early response biomarkers may improve patient outcomes.

Objective:

This study evaluated progression-free survival (PFS) and overall survival (OS) based on treatment interval adjustment utilising 177LuPSMA 24-h SPECT/CT (177Lu-SPECT) and early prostate-specific antigen (PSA) response.

Design:

Retrospective analysis of a clinical 177Lu-PSMA-I&T treatment programme.

Methods:

In all, 125 men were treated with 6-weekly 177LuPSMA-I&T [median 3 cycles, interquartile range (IQR): 2–4], median dose 8.0 GBq [95% confidence interval (CI): 7.5–8.0]. Imaging screening involved 68GaPSMA-11 PET/diagnostic CT. 177Lu-SPECT/diagnostic CT was acquired following each therapy, and clinical assessments 3-weekly. Following dose 2 (week 6), a composite PSA and 177Lu-SPECT/CT imaging response [partial response (PR), stable disease (SD), and progressive disease (PD)] determined ongoing management. Response group (RG) 1 (marked reduction in PSA/imaging PR) break in treatment until subsequent PSA rise, then re-treatment. RG 2 (stable or reduced PSA and/or imaging SD) 6-weekly treatments until six doses, or no longer clinically benefitting. RG 3 (rise in PSA and/or imaging PD) recommended for an alternative treatment.

Results:

Overall PSA50% response rate (PSARR) was 60% (75/125), median PSA-PFS 6.1 months (95%CI: 5.5–6.7), and median OS 16.8 months (95%CI: 13.5–20.1). 35% (41/116) were classified as RG 1, 34% (39/116) RG 2, and 31% (36/116) RG 3. PSARRs by RG were 95% (38/41), 74% (29/39), and 8% (3/36); median PSA-PFS rates were 12.1 months (95%CI: 9.3–17.4), 6.1 months (95%CI: 5.8–9.0), and 2.6 months (95%CI: 1.6–3.1); and OS rates were 19.2 months (95%CI: 16.8–20.7), 13.2 months (95%CI: 12.0–18.8), and 11.2 months (95%CI: 8.7–15.6) for RG 1, 2, and 3, respectively. The median months of ‘treatment holiday’ for RG 1 was 6.1 months (IQR: 3.4–8.7). Nine men had received prior 177LuPSMA-617 and were retreated with 177LuPSMA-I&T, with a PSARR of 56% on re-treatment.

Conclusion:

Personalising dosing regimens using early response biomarkers with 177LuPSMA has the potential to achieve similar treatment responses to continuous dosing while allowing treatment breaks or intensification. Further evaluation of early response biomarker-guided treatment regimens in prospective trials is warranted.

Plain Language Summary

Lutetium-PSMA therapy is a new therapy for metastatic prostate cancer that is well tolerated and effective. However, not all men respond equally, with some responding very well and others progressing early. Personalising treatments require tools that can accurately measure treatment responses, preferably early in the treatment course, so adjustments to treatment can be made. Lutetium-PSMA can measure tumour sites after each therapy by taking whole body 3D images at 24 h using a small radiation wave from the treatment itself. This is called a SPECT scan. Previous work has shown that both prostate-specific antigen (PSA) response and changes in tumour volume on a SPECT scan can predict how patients will respond to treatment as early as dose 2. This study demonstrates that stratifying how men are treated based on the results of the 6-week SPECT scan and PSA response potentially allows a third of men to have break in treatment and that these men have both longer time to disease progression and OS. Men with an increase in tumour volume and increase in PSA early in treatment (6 weeks) had shorter time to disease progression and OS. Men with early biomarker disease progression were offered alternative treatments early in an attempt to allow the opportunity to allow a more effective potential therapy, if one was available. The study is an analysis of a clinical programme, and was not a prospective trial. As such, there are potential biases that could influence results. Hence, while the study is encouraging for the use of early response biomarkers to guide better treatment decisions, this must be validated in a well-designed clinical trial.

Keywords: lutetium-PSMA, metastatic prostate cancer, SPECT, response biomarker

Introduction

177LuPSMA is an effective treatment in metastatic castrate-resistant prostate cancer (mCRPC) with trials predominantly adopting a standardised dose interval and course of treatment. The randomised TheraP trial allowed ‘treatment holidays’ in (7%) men with an exceptional response to 177LuPSMA-617 based on 177LuPSMA 24-h SPECT (177Lu-SPECT) and prostate-specific antigen (PSA) response, while the VISION trial utilised continuous fixed-interval dosing until treatment was no longer clinically benefitting.1,2 Adjusting treatment intervals utilising early response biomarkers may lead to improved patient outcomes. This study evaluates patient outcomes [progression-free survival (PFS) and overall survival (OS)] based on a response-guided treatment interval adjustment utilising both 177Lu-SPECT/CT and PSA response biomarkers.

Materials and methods

Screening

Men with mCRPC, who had progressed on at least one line of androgen receptor signalling inhibition and either failed or were ineligible for prior taxane chemotherapy, were considered for treatment on a clinical treatment programme. All men underwent screening with 68Ga-PSMA-11(PSMA) PET CT and diagnostic CT of the chest, abdomen, and pelvis. Men were eligible if they had a standardised uptake value (SUV) maximum > 15 on PSMA PET at ⩾1 site, and SUVmax > 10 at all measurable sites not impacted by partial voluming with no sites of soft tissue metastatic disease on diagnostic CT not meeting PSMA PET criteria. All patients required an eGFR > 30 mL/min, Hb > 70 g/L, platelets > 70 × 109/L.

Production

PSMA-I&T precursor (ABX, Germany) in sodium acetate buffer was added to non-carrier added [177Lu] LuCl3 according to institutional production protocol. Radiochemical purity was determined using high-pressure liquid chromatography and thin-layer chromatography.

Imaging procedures and analysis

Screening 68GaPSMA PET/CT and diagnostic CT were performed in all patients prior to consideration for treatment. All patients treated had 177Lu-SPECT/CT (vertex to mid-thighs) acquired 24 h after each 177LuPSMA-I&T injection using a Discovery 670 system and a Tandem NM/CT 870 DR (GE Healthcare, Milwaukee, WI, USA) with the following parameters: medium energy collimators, 3 bed positions, 60 projections over 360° with an acquisition time of 10 s per frame, 128 × 128 matrix and 4.42 × 4.42 mm2 pixel size. An energy window centred on 208 keV ± 10% with a 165 keV ± 6.5% scatter window was used. A non-contrast low-dose CT scan was performed immediately after. In those studies that had all data available for quantitation, the SPECT projection images were reconstructed with an iterative Ordered Subset Estimation Maximum algorithm that used 4 iterations and 10 subsets using SPECTRA Quant™ (MIM Software, Inc, Cleveland, OH, USA). No pre- or post-reconstruction filters were applied. CT-based Attenuation Correction, Dual Energy Window Scatter Correction, collimator-based Resolution Recovery, and quantitative conversion to SUV were performed during the reconstruction. The conversion from counts to units of activity was calculated based on a cylinder phantom with known activity.3 SPECT quantification was undertaken in 77% (96/125), with the remainder missing key data require for reconstruction of analysable quantitative data (scatter windows).

Visual imaging analysis

All 177Lu-SPECT/CT (vertex to mid-thigh) images were evaluated visually by an experienced nuclear medicine physician to assess for treatment response, as per clinical protocol. A significant response on imaging (between baseline and week-6 Lu-SPECT/CT) was defined as a marked reduction (>30%) in visual tumour volume at all sites of involved disease, no new sites of PSMA avid tumour deposits and no new sites of PSMA negative tumour deposits on diagnostic CT [imaging partial response (PR)]. Stable disease (SD) was classified as no visible marked change in tumour volume (>30%), no new sites of PSMA avid disease and no new sites of PSMA negative disease on diagnostic CT (imaging SD). Progressive disease (PD) was defined as visual increase in tumour volume (>30%) ± new sites of disease and/or the presence of new sites of PSMA-negative disease progression on diagnostic CT (imaging PD).

Quantitative imaging analysis

177Lu-SPECT/CT was analysed semi-quantitatively by a nuclear medicine physician utilising MIM (LesionID™), MIM Software (Inc., Cleveland, OH, USA) software and a standardised semi-automated workflow to delineate regions of interest with a minimum SUV cut-off of 3 and lesion size ⩾ 0.2 mm.4 All lesions identified quantitatively were manually reviewed and physiologic activity was removed. Whole body quantitation derived total tumour volume (TTV), SUVmax, and SUVmean for PSMA-SPECT at baseline and week 6.5 77% (96/125) men had analysable baseline and week-6 177Lu-SPECT/CT data. Quantitative analysis was derived retrospectively in patients with full analysable datasets, with the quantitative findings not included in clinical decisions. Clinical decisions regarding patient treatments were undertaken using visual assessment of the baseline and week-6 177Lu-SPECT/CT.

Study treatment

All men received a minimum two doses of 177LuPSMA-I&T at 6-weekly intervals. A median 8 GBq [interquartile range (IQR): 8–8.5] was administered at each dose via slow intravenous injection. Blood was prospectively collected prior to each cycle and at 3-weekly intervals for biomarkers including haemoglobin, platelets, lactate dehydrogenase, alkaline phosphatase, albumin, and PSA. Following dose 2 of 177LuPSMA (week 6), a composite of PSA response and imaging findings (imaging PR, SD, PD) were utilised to determine ongoing management. Response group (RG) 1: [marked reduction (50%) in PSA and imaging PR] break in treatment until subsequent PSA rise, then consider re-treatment. RG 2: [stable or reduced PSA (<50%) and/or imaging SD] ongoing 6-weekly treatments until six doses, or no longer clinically benefitting. RG 3: (rise in PSA and/or imaging PD) consider referral to an alternative treatment. All patients were followed for subsequent PSA progression and OS.

Statistical analyses

We measured PSA decline from baseline ⩾50% (PSA50) at any timepoint, PSA-PFS, and OS.6,7 In patients with a treatment break PSA-PFS was defined from the date at which PSA rose, without PSA response to subsequent treatment. The Kaplan–Meier method was used to characterise time-to-event endpoints and estimate medians (presented with 95%CIs). Differences in TTV, SUVmax, SUVmean between the RGs were assessed using one-way analysis of variance. We correlated RG with time-to-event outcomes, using univariable Cox proportional hazards regression. p Values below 5% were considered significant but interpreted conservatively in view of the multiple tests.

Results

Patient characteristics

In all, 125 men underwent 177LuPSMA-I&T therapy between May 2019 and April 2022. All men had mCRPC, 99% (124/125) had prior androgen receptor signalling inhibitors, and 70% (88/125) prior docetaxel. Mean age was 75 years (70–80) (Table 1). Patients received a median of three doses up to a maximum of 10 (IQR 2-4). 6% (9/125) had been previously treated on a clinical trial with 177LuPSMA-617. Overall, 60% (75/125) had a PSA reduction >50% (PSARR). At the time of analysis, 42% (52/125) were deceased. In those assigned to an RG, 35% of men (41/116) were classified as RG 1, 34% (39/116) RG 2, and 31% (36/116) RG 3. Patients who had previously treated with 177LuPSMA-617 on trial (9/125) were not assigned to a RG, with results reported separately.

Table 1.

Patient characteristics.

Characteristic N = 125
Age (years) 75 (70–80)
Years since diagnosis 6 (3–9)
Prior systemic treatments
 LHRH agonist/antagonist 100% (125/125)
 Chemotherapy 70% (88/125)
 Docetaxel 70% (88/125)
 Cabazitaxel 35% (44/125)
 Androgen receptor signalling inhibitor 99% (124/125)
 PSA 76 (26.7–258.5)
 LDH 242 (211–301)
 Platelets 220 (177–271)
 Haemoglobin 116 (103–127)
Sites of disease
 Bone 97% (93/96)
 Lymph nodes 47% (45/96)
 Visceral 20% (19/96)

Numbers are presented as absolute counts (percentage) or median (interquartile range).

LDH, lactate dehydrogenase; LHRH, luteinizing hormone-releasing hormone; PSA, prostate-specific antigen.

Patient outcomes

In the overall study population, the median PSA-PFS was 6.1 months (95%CI: 5.4–6.7) and OS was 16.8 months (95%CI: 13.5–20.1). There was a significant difference in PSA-PFS between RGs, with RG 1 PSA-PFS [12.1 (9.3–17.4) months], RG 2 PSA-PFS [6.1 (5.8–9.0) months], and RG 3 PSA-PFS [2.6 (1.6–3.1) months; p < 0.0001). A significant difference was also noted in OS between RG 1 [19.2 (16.8–20.7) months], RG 2 [13.2 (12.0–18.8) months], and RG 3 [11.2 (8.7–15.6) months; p < 0.0005) (Figure 1). Similarly, PSA50%RR was also significantly different between RGs (p < 0.0001) (Table 2).

Figure 1.

Figure 1.

Kaplan–Meier curve for (a) PSA-PFS in patients with marked reduction in PSA and imaging PR (blue) versus stable or reduced PSA and/or imaging SD (yellow) and rise in PSA and/or imaging PD (red) and (b) demonstrating OS in the same cohorts.

OS, overall survival; PD, progressive disease; PFS, progression-free survival; PSA, prostate-specific antigen; SD, stable disease.

Table 2.

Patient outcomes.

PSA 50% RR Median PSA response OS PSA-PFS
Overall 60% (75/125) 51.8% (86.2 to −1.6) 16.8 (13.5–20.1) 6.1 (5.4–6.7)
RG 1 93% (38/41) 83% (−97 to −70) 19.2 (16.8–20.7) 12.1 (9.3–17.4)
RG 2 74% (29/39) 61% (89 to −35) 13.2 (12.0–18.8) 6.1 (5.8–9.0)
RG 3 8% (3/36) −25% (−55 to −1) 11.2 (8.7–15.6) 2.6 (1.6–3.1)

Results presented as median (IQR).

IQR, interquartile range; PFS, progression-free survival; PSA, prostate-specific antigen; OS, overall survival; RS, response group.

Response group 1

Men in RG 1 received a median 3 (IQR: 2–4) doses of 177LuPSMA-I&T. They had a 95% (38/41) PSA50%RR, and median reduction in PSA of 83% (IQR: −97 to −70). Median PSA50%RR at dose 2 was 49% (IQR: 69.1–23.3). In this RG, PSA-PFS was 12.1 months (95%CI: 9.3–17.4) and OS 19.2 months (95%CI: 16.8–20.7). All men in RG 1 had a treatment break due to significant treatment response, with a median 6.1 months (IQR: 3.4–8.7) of treatment ‘holiday’ prior to a subsequent rise in PSA and consideration for re-treatment. 51% (21/41) of these men had received prior chemotherapy. Median age of those not receiving chemotherapy in RG 1 was 82.5 years.

Response group 2

Men in RG 2 received a median 4 doses (IQR: 3–5) 177LuPSMA-I&T. No patients had a treatment break. This RG had a PSA 50%RR of 74% (29/39), and a median reduction in PSA of 61% (IQR: 89–35). Median PSA 50%RR at dose 2 was 24% (IQR: 38 to −9). Median PSA-PFS 6.1 months (95%CI: 5.8–9.0) and OS 13.2 months (95%CI: 12.0–18.8). It was noted 82% (32/39) of these men had received prior chemotherapy.

Response group 3

Men in RG 3 received a median 3 (IQR: 2–3) doses 177LuPSMA-I&T. The PSA50%RR was 8% (3/36). The three men with a PSA50%RR had new hepatic lesions (2/3) and perinephric soft tissue progression (1/3) on imaging. A PSA rise occurred in 92% (33/36) prior to C3. Median PSA-PFS was 2.6 months (95%CI: 1.6–3.1) and OS was 11.2 months (95%CI: 8.7–15.6). 78% (28/36) of these men had received prior chemotherapy.

Treatment following prior 177LuPSMA-617

9/125 men had 177LuPSMA-I-&T re-treatment after being treated in a clinical trial of 177LuPSMA-617. All patients had six doses of 177LuPSMA-617. These patients received a median of 2 (IQR: 2–3) additional doses of 177LuPSMA-I&T. PSA50%RR following retreatment was 56% (5/9), with a median PSA-PFS of 4.9 months (95%CI: 1.5–8.3) and OS of 18.4 months (95%CI: 6.4–30).

Quantitative analysis of Lu-SPECT

Quantitative analysis of the baseline and week-6 177Lu-SPECT was possible in 77% (96/125) (Figure 2). Quantitative 177Lu-SPECT characteristics of RGs 1–3 are detailed in Table 3. There was a significant difference in baseline 177Lu-SPECT SUVmean between RGs, with the highest SUVmean in RG 1 (p < 0.01). The difference in Δ SUVmax between RGs was more significant with a large drop in SUVmax by week 6 in RG 1, and almost no change in Δ SUVmax in RG 3 (p < 0.01). A similar result was found with Δ SUVmean (Table 3).

Figure 2.

Figure 2.

Imaging PR between baseline 177Lu-SPECT (a) and week 6 (b). Imaging SD between baseline 177Lu-SPECT (c) and week 6 (d). Imaging PD between baseline 177Lu-SPECT (e) and week 6 (f).

PR, partial response; SD, stable disease.

Table 3.

Quantitative imaging subcohort: imaging results by RG.

Lu-SPECT Overall RG 1 RG 2 RG 3 Significance
BL TTV (mL) 526 (146–1223) 380 (124–980) 941 (265–1907) 374 (85–873) <0.01
BL SUVmax 60 (37–88) 69 (47–117) 71 (46–100) 39 (19–67) NS (0.06)
BL SUVmean 8.7 (7–12) 11 (8–14) 10 (7.8–14) 7 (5.2–8.5) <0.01
Δ* TTV −69 (−300 to 5.5) −107(−260 to −14) −150 (−574 to −8) 30 (−134 to 116) NS (0.39)
Δ* SUVmax −18 (−35 to −1.6) −32 (−102 to −14) −19 (−33 to 3) −5 (−12 to 2) <0.01
Δ* SUVmean −1.5 (−3.5 to −0.1) −3.3 (−6.8 to −1.8) −1.6 (−2.7 to −0) −0.5 (−1.4 to +0.2) <0.01

Results presented as median (IQR).

*

Between BL and week-6 Lu-SPECT.

BL, baseline; IQR, interquartile range; RG, response group; SUV, standardised uptake value; TTV, total tumour volume.

Discussion

This study has found that early response biomarker-guided PSMA-targeted radionuclide therapy utilising a combination of PSA and 177Lu-SPECT/CT response at week 6 may effectively stratify responders and limited/ non-responders. This enabled significant treatment de-intensification with fewer administered doses in responders and early transition to potentially more effective alternative treatments [second-line chemotherapy, poly (ADP-ribose) polymerase (PARP) inhibitors, or targeted alpha therapies] in non-responders, with similar PFS and OS to the published literature.1,2,8

The response biomarkers utilised to inform patient care in this clinical programme included the PSA response at the first timepoint following the 6-dose 177LuPSMA and a change in tumour volume or new lesions on the 6-week 177Lu-SPECT/CT. Change in week-6 177Lu-SPECT tumour volume and rise in PSA at week 6 of 177LuPSMA-I&T therapy have been previously shown to predict early PFS.4 Utilising these biomarkers allowed 35% of men (in RG 1) to have a significant treatment break, a median 6 months, with retreatment at first subsequent PSA rise. These men had durable PFS and OS outcomes. Such measures as treatment ‘holidays’ may potentially improve quality of life in men who often have treatment fatigue and side effects. Conversely, there is an opportunity cost in continuing an expensive treatment that is not controlling disease burden. Identifying patients with early disease progression using early response biomarkers may allow the opportunity for an alternative potentially effective treatment, such as cabazitaxel chemotherapy, PARP inhibitors, or targeted alpha therapies.911

RECIP 1.0 is an interim biomarker proposal that utilises a 12-week 68Ga-PSMA PET scan based on its predictive value for disease progression in a multi-centre 177LuPSMA-617 therapy trial.12 RECIP stratifies patients receiving 177Lu PSMA therapy into PR, SD, or PD based on quantitative tumour volume. Similarly, the LUPIN study found that a week-12 quantitative 177Lu-SPECT/CT predicted PSA-PFS in men being treated with 177LuPSMA-617.3,13 This study demonstrates that moving decision-making earlier to the 6-week timepoint of treatment using177Lu-SPECT/CT + PSA progression is practical and maximises opportunities for personalising treatment response in individual patients. Furthermore, stratification of PR or disease progression on molecular imaging can potentially be made without requiring an additional PSMA-PET/CT procedure. This composite early response biomarker approach warrants further evaluation in prospective trials.

Generally, treatment response to systemic therapy in mCRPC has been monitored with PSA and radiographic PFS utilising diagnostic CT and bone scan.14 Like PSMA, PSA is a prostate cancer cell surface receptor, although PSA sheds into the bloodstream, allowing it to be measured in serum.15 Similar to PSMA, there is heterogeneity of PSA expression, meaning PSA may underestimate true disease volume in a proportion of men with mCRPC.16 RECIST radiographic progression is undertaken serially at a minimum 8-week intervals and is not a feasible early response biomarker tool. Utilising a combination of both early PSA response and early change on Lu-SPECT/CT provides a potentially stronger composite biomarker than either receptor response utilised in isolation.

Quantitative analysis of the 177Lu-SPECT data demonstrated significant differences in Δ SUVmax and Δ SUVmean between RGs 1 and 3. The majority of patients receiving PSMA-targeted peptide receptor radionuclide therapy will get a drop in PSMA intensity, which is not predictive of OS.12,17 However, these results suggest the depth of the reduction in SUVmax and SUVmean may be a proxy marker of radiation sensitivity and depth of cell death achieved. Currently, while we can measure PSMA characteristics at baseline to predict treatment response, we do not have an easy measure of radiation sensitivity, which is a significant factor in treatment resistance with 177LuPSMA.17,18 Treatment failure in RG 3 is likely due at least in part to a combination of both baseline PSMA heterogeneity/intensity and low radiation sensitivity. We can measure PSMA heterogeneity and expression at baseline (SUVmean), but the Δ Lu-SPECT parameters at 6 weeks may give some additional indication of radiation sensitivity, and this warrants further evaluation. Measures that address causes of treatment resistance (PARP inhibitors, targeted alpha therapies) may help improve responses in RG 3.1921

A higher proportion of men in RG 1 were chemotherapy naïve, potentially explaining the better treatment response rates in this group. However, these men were older, many considered not suitable for chemotherapy. The median age of men in RG 1 who had not undergone chemotherapy was 82. Older men with co-morbidities may particularly benefit from a ‘touch the earth lightly’ treatment paradigm with treatment breaks.22 Based on these results, 177LuPSMA may be a substitute to chemotherapy in this patient group with many patients only requiring intermittent therapy to achieve disease control.

There are several significant limitations to this study. This is a not a prospective trial, but a retrospective analysis of a clinical programme. Hence, there are inherent biases in the study and the results can only thus be hypothesis generating. Some patients assigned to RG1 that were given a treatment holiday, elected not to have further treatment at PSA rise. This potentially led to a more limited duration of response in RG1 patients than may have been achieved. Furthermore, the definitions of visual disease response on 177Lu-SPECT was not well defined, being classified as visually >30%. Despite this, the study raises important questions regarding the benefits of using composite imaging and biochemical response biomarkers to guide treatment and personalise 177LuPSMA therapy responses. Further work is required in prospective trials to better define and standardise appropriate response thresholds for both 177Lu-SPECT and early PSA in combination, and the role of image quantification. Randomised trials that address the value of early response biomarkers in 177LuPSMA therapy would appear warranted based on preliminary results of this hypothesis generating data.

Conclusion

Personalising dosing regimens using early response biomarkers with 177LuPSMA has the potential to achieve similar treatment responses to continuous dosing while allowing treatment breaks or intensification. Further evaluation of early response biomarker-guided treatment regimens in prospective trials is warranted.

Acknowledgments

We would like to acknowledge the staff and patients from the Theranostics and Nuclear Medicine Department in St Vincent’s Hospital-Sydney.

Footnotes

Contributor Information

Louise Emmett, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, 390 Victoria Street, Sydney, NSW 2010, Australia; Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia; Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent’s Clinical School, University of New South Wales, Sydney, NSW, Australia.

Nikeith John, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Sarennya Pathmanandavel, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia; Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent’s Clinical School, University of New South Wales, Sydney, NSW, Australia.

William Counter, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Maria Ayers, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Shikha Sharma, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Shikha Agrawal, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Aron Poole, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Elizabeth Hovey, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; Nelune Comprehensive Cancer Centre, Prince of Wales Hospital, Sydney, NSW, Australia.

Ganes Pranavan, Department of Medical Oncology, The Canberra Hospital, Garran, ACT, Australia.

Craig Gedye, Calvary Mater Hospital, Newcastle, NSW, Australia.

Girish Mallesara, Calvary Mater Hospital, Newcastle, NSW, Australia.

Alex Guminski, Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia.

Adrian Lee, Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia.

Martin R. Stockler, NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia

Adam Hickey, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Peter Eu, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia.

Anthony M. Joshua, The Kinghorn Cancer Centre, St Vincent’s Hospital, Sydney, NSW, Australia

Megan Crumbaker, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent’s Clinical School, University of New South Wales, Sydney, NSW, Australia; The Kinghorn Cancer Centre, St Vincent’s Hospital, Sydney, NSW, Australia.

Andrew Nguyen, Department of Theranostics and Nuclear Medicine, St Vincent’s Hospital, Sydney, NSW, Australia; St. Vincent’s Clinical School, University of New South Wales, Sydney, NSW, Australia.

Declarations

Ethics approval and consent to participate: St Vincent’s Hospital institutional review board approved this retrospective study (Re-SPECT project) and the requirement to obtain informed consent was waived (HREC) 2022/ETH00924.

Consent for publication: Not applicable.

Author contribution(s): Louise Emmett: Conceptualisation; Data curation; Formal analysis; Funding acquisition; Investigation; Methodology; Project administration; Supervision; Validation; Visualisation; Writing – original draft; Writing – review & editing.

Nikeith John: Data curation; Investigation; Methodology; Project administration; Writing – review & editing.

Sarennya Pathmanandavel: Data curation; Formal analysis; Methodology; Project administration; Writing – review & editing.

William Counter: Data curation; Investigation; Project administration; Writing – review & editing.

Maria Ayers: Methodology; Project administration.

Shikha Sharma: Methodology; Project administration.

Shikha Agrawal: Methodology; Project administration.

Aron Poole: Methodology; Project administration.

Elizabeth Hovey: Methodology; Project administration; Writing – review & editing.

Ganes Pranavan: Methodology; Project administration; Writing – review & editing.

Craig Gedye: Methodology; Project administration; Writing – review & editing.

Girish Mallesara: Methodology; Project administration; Writing – review & editing.

Alex Guminski: Methodology; Project administration; Writing – review & editing.

Adrian Lee: Methodology; Project administration; Writing – review & editing.

Martin R. Stockler: Methodology; Project administration; Writing – review & editing.

Adam Hickey: Methodology; Project administration.

Peter Eu: Methodology; Project administration.

Anthony M. Joshua: Methodology; Project administration; Writing – review & editing.

Megan Crumbaker: Methodology; Project administration; Writing – review & editing.

Andrew Nguyen: Data curation; Investigation; Methodology; Project administration; Writing – review & editing.

Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The investigator-initiated study was sponsored by St Vincent’s Hospital and was supported by a Cancer Institute NSW prostate translational research grant.

LE – Trials support – Novartis, Astellas, grant funding support from St Vincent’s Clinic Foundation.

EH – Bayer Prostate Cancer Advisory Board (2022); Merck Urothelial Cancer Advisory Board (2021); Janssen Frailty in Oncology Advisory Board (2021); Ipsen Renal Cancer Advisory Board (2020, 2022)

AG – Advisory Boards BMS, Merck, MSD, Regeneron, Sun Pharma; Unrestricted research support from Astra Zeneca and Sun Pharma

No other authors have declared any conflicts of interest.

Availability of data and materials: Not applicable.

References

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