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. 2024 Feb:8:e2300230.
doi: 10.1200/PO.23.00230.

Circulating and Imaging Biomarkers of Radium-223 Response in Metastatic Castration-Resistant Prostate Cancer

Affiliations

Circulating and Imaging Biomarkers of Radium-223 Response in Metastatic Castration-Resistant Prostate Cancer

Philip J Saylor et al. JCO Precis Oncol. 2024 Feb.

Abstract

Purpose: Radium-223 improves overall survival (OS) and reduces skeletal events in patients with bone metastatic castration-resistant prostate cancer (CRPC), but relevant biomarkers are lacking. We evaluated automated bone scan index (aBSI) and circulating tumor cell (CTC) analyses as potential biomarkers of prognosis and activity.

Patients and methods: Patients with bone metastatic CRPC were enrolled on a prospective single-arm study of standard radium-223. 99mTc-MDP bone scan images at baseline, 2 months, and 6 months were quantitated using aBSI. CTCs at baseline, 1 month, and 2 months were enumerated and assessed for RNA expression of prostate cancer-specific genes using microfluidic enrichment followed by droplet digital polymerase chain reaction.

Results: The median OS was 21.3 months in 22 patients. Lower baseline aBSI and minimal change in aBSI (<+0.7) from baseline to 2 months were each associated with better OS (P = .00341 and P = .0139, respectively). The higher baseline CTC count of ≥5 CTC/7.5 mL was associated with worse OS (median, 10.1 v 32.9 months; P = .00568). CTCs declined at 2 months in four of 15 patients with detectable baseline CTCs. Among individual genes in CTCs, baseline expression of the splice variant AR-V7 was significantly associated with worse OS (hazard ratio, 5.20 [95% CI, 1.657 to 16.31]; P = .00195). Baseline detectable AR-V7, higher aBSI, and CTC count ≥5 CTC/7.5 mL continued to have a significant independent negative impact on OS after controlling for prostate-specific antigen or alkaline phosphatase.

Conclusion: Quantitative bone scan assessment with aBSI and CTC analyses are prognostic markers in patients treated with radium-223. AR-V7 expression in CTCs is a particularly promising prognostic biomarker and warrants validation in larger cohorts.

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Conflict of interest statement

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/po/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Philip J. Saylor

Research Funding: Bayer (Inst)

Rene Balza

Research Funding: International Skeletal Society (Inst)

Jacob Ukleja

Employment: Cleveland Clinic Florida, Novartis

Stock and Other Ownership Interests: Novartis

Matthew R. Smith

Consulting or Advisory Role: Bayer, Janssen Oncology, Amgen, Pfizer, Lilly, Novartis, Astellas Pharma, Ambrx

Research Funding: Janssen Oncology (Inst), Bayer (Inst), Lilly (Inst), ESSA (Inst), ORIC Pharmaceuticals (Inst)

Kara Olivier

Honoraria: Bayer

Mehmet Toner

Stock and Other Ownership Interests: AutoIVF, TellBio, General Fluidics, Sylvatica

Research Funding: AutoIVF and Sylvatica

Patents, Royalties, Other Intellectual Property: All my patents are owned by Massachusetts General Hospital, and some have been licensed to various companies and they are managed according to the institutional conflict rules

Shyamala Maheswaran

Stock and Other Ownership Interests: TellBio

Research Funding: We received funding from Radius Health to study that effect of Elacestrant, an estrogen receptor degrader, on metastatic breast cancer using CTCs as a model system

Patents, Royalties, Other Intellectual Property: Patents Awarded: (1) Title: Cadherins as Cancer Biomarkers (Patent Number: 10094837); Inventors: Shyamala Maheswaran, David Tsai Ting, Daniel A. Haber. (2) Title: Diagnosis and monitoring treatment of prostate cancer (Patent Number: 9417244); Inventors: Daniel A. Haber, Shyamala Maheswaran, David T. Miyamoto. (3) Title: Methods relating to circulating tumor cell clusters and the treatment of cancer (Patent Number: 10053692); Inventors: Nicola Aceto, Daniel A. Haber, Shyamala Maheswaran Patents Pending: (1) Title: Use of Müllerian inhibiting substance and interferons in treating tumors. Biomarkers of Cancer (Publication number: 20040151693); Inventors: Shyamala Maheswaran and Patricia K. Donahoe. (2) Title: Biomarkers of Cancer (Publication number: 20140031250); Inventors: Shyamala Maheswaran, David Tsai Ting, Daniel A. Haber. (3) Title: Biomarkers of Cancer (Publication number: 20140287956); Inventors: Shyamala Maheswaran, David Tsai Ting, Daniel A. Haber. (4) Title: Methods and assays relating to circulating tumor cells (Publication number: 20160312298); Inventors: David Tsai Ting, Daniel A. Haber, Shyamala Maheswaran. (5) Title: Targeting human satellite ii (HSATII; Publication number: 20170198288); Inventors: David Tsai Ting, Daniel A. Haber, Shyamala Maheswaran. (6) Title: Digital Analysis of Circulating Tumor Cells in Blood Samples (Publication number: 20180057889); Inventors: Daniel A. Haber, Ravi Kapur, Mehmet Toner, Shyamala Maheswaran, Xin Hong, David Tomoaki Miyamoto, Tanya Todorova, Sara Javaid. (7) Title: LNA-Based Mutant Enrichment Next-Generation Sequencing Assays (Publication number: 20180112259); Inventors: Tilak Sundaresan, Zongli Zheng, Daniel A. Haber, Shyamala Maheswaran, A. John Iafrete

Daniel A. Haber

Consulting or Advisory Role: ROME Therapeutics, TellBio

Research Funding: Novartis Institutes for BioMedical Research, Asteroid

Patents, Royalties, Other Intellectual Property: EGFR mutations to direct therapy in non–small-cell lung cancer, RNA-based molecular signatures of CTCs to direct breast cancer therapies, Wilms tumor gene WT1

Beow Y. Yeap

Stock and Other Ownership Interests: SISCAPA Assay Technologies

Consulting or Advisory Role: Guardant Health

Richard J. Lee

Consulting or Advisory Role: Janssen Oncology, Exelixis, Bayer, Blue Earth Diagnostics

Research Funding: Janssen

Expert Testimony: Boehringer Ingelheim

David T. Miyamoto

Research Funding: Cardiff Oncology (Inst)

No other potential conflicts of interest were reported.

Figures

FIG 1.
FIG 1.
(A) Study schematic. Serial bone scans were obtained at pretreatment baseline, 2 months, and 6 months. Serial CTC analyses were performed using two different CTC methods at pretreatment baseline, 1 month, and 2 months. A detailed flow diagram of actual patient evaluations collected is shown in Appendix Figure A1. (B) Bar graph in the top panel shows patients in a clinically uniform prospective cohort (N = 22) ordered by OS from left to right (vertical blue bars). Four patients noted with red asterisks were alive at the time of final follow-up. Heatmap shows the level of signal of various assays for individual patients, including CTC expression of AR-V7, TMRPSS2:ERG, and prostate genes, CTCM score, CellSearch CTC count, and %aBSI. aBSI, automated bone scan index; CTC, circulating tumor cell; NA, not applicable; OS, overall survival; PSA, prostate-specific antigen; tAP, total alkaline phosphatase.
FIG 2.
FIG 2.
aBSI is prognostic for OS. (A) Time course of aBSI assessments in a single patient with metastatic prostate cancer at baseline (BSI, 3.8%), 2 months (aBSI, 2.4%), and 6 months (aBSI, 1.6%). (B) Kaplan-Meier estimates of OS by baseline aBSI relative to the optimized cut point of 0.9. (C) Kaplan-Meier estimates of OS by aBSI change of ≥+0.7 versus <+0.7 from baseline to 2 months. aBSI, automated bone scan index; OS, overall survival.
FIG 3.
FIG 3.
Higher baseline CellSearch count or CTCM score was associated with significantly worse OS. Kaplan-Meier estimates of OS by (A) baseline CellSearch CTC counts greater than or less than five CTCs/7.5 mL blood and (B) baseline CTCM score relative to the optimized cut point of 20. CTC, circulating tumor cell; OS, overall survival.
FIG 4.
FIG 4.
AR-V7 expression in CTCs at baseline is independently prognostic. (A) Kaplan-Meier estimates of OS by the AR-V7 signal in CTCs at baseline. (B) Box plot showing baseline CellSearch CTC counts by AR-V7 status. (C) Scatter plot of baseline CellSearch CTC counts versus baseline AR-V7 signal, showing no significant correlation between CTC count and the presence of AR-V7. CTC, circulating tumor cell; OS, overall survival.
FIG A1.
FIG A1.
Detailed schematic description of the study. (A) One patient with the bone scan image not analyzable for aBSI; (B) laboratory operating CellSearch CTC enumeration assay closed after recruiting Pt 19; (C) one patient sample had a technical issue during processing; (D) patient decision to discontinue participation; (E) discontinuation from study because of disease progression: one patient discontinued before bone scan, and the other patient discontinued after bone scan; (F) one patient whose baseline image was not analyzable for aBSI, (G) disease progression. aBSI, automated bone scan index; CTC, circulating tumor cell; Pt, patient.
FIG A2.
FIG A2.
Plots showing longitudinal time courses of AR-V7, aBSI, PSA, and CellSearch CTC counts for each individual participant. Some PSA values and CellSearch CTC counts with high values were scaled differently and shown in italics. From top to bottom, left to right, these are aligned by the order in Figure 1B (ie, shortest survival to longest survival). aBSI, automated bone scan index; CTC, circulating tumor cell; OS, overall survival; PSA, prostate-specific antigen.
FIG A3.
FIG A3.
Kaplan-Meier estimates of overall survival by (A) baseline Global Health Score and (B) baseline Pain Score.
FIG A4.
FIG A4.
Kaplan-Meier estimates of overall survival by CTC decline or nondecline. CTC, circulating tumor cell.
FIG A5.
FIG A5.
Cox proportional hazards regression analyses of promising radium-223 biomarkers to examine for independent prognostic value when adjusted for PSA or tAP. Each separate multivariable model is limited to two covariates because of limitations of sample size. aBSI, automated bone scan index; HR, hazard ratio; PSA, prostate-specific antigen; tAP, total alkaline phosphatase.
FIG A6.
FIG A6.
Plots showing longitudinal time courses of gene expression measured in CTCs for each individual participant. From top to bottom, left to right, these are aligned by the order in Figure 1B (ie, shortest survival to longest survival). CTC, circulating tumor cell; OS, overall survival.

References

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