Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleTheranostics

Predictors of Response to Radioligand Therapy of Metastatic Castrate-Resistant Prostate Cancer with 177Lu-PSMA-617

Justin Ferdinandus, Elisabeth Eppard, Florian C. Gaertner, Stefan Kürpig, Rolf Fimmers, Anna Yordanova, Stefan Hauser, Georg Feldmann, Markus Essler and Hojjat Ahmadzadehfar
Journal of Nuclear Medicine February 2017, 58 (2) 312-319; DOI: https://doi.org/10.2967/jnumed.116.178228
Justin Ferdinandus
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elisabeth Eppard
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Florian C. Gaertner
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefan Kürpig
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rolf Fimmers
2Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna Yordanova
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefan Hauser
3Department of Urology, University Hospital Bonn, Bonn, Germany; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Georg Feldmann
4Department of Internal Medicine, MED III, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Markus Essler
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hojjat Ahmadzadehfar
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • FIGURE 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1.

    Correlation between age and percentage PSA changes (R2 = 0.149).

  • FIGURE 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2.

    Correlation between platelet counts and percentage PSA changes (R2 = 0.274).

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Patient Characteristics

    CharacteristicNo. of patientsHistory (n)Ongoing (n)No history (n)Extent
    Gleason score
     64 (10)
     73 (7.5)
     811 (27.5)
     914 (35)
     105 (12.5)
     Unknown3 (7.5)
    Prior and ongoing therapies
     Prostatectomy21 (52.5)19 (47.5)
     Abiraterone*†18 (45)9 (22.5)13 (32.5)
     Enzalutamide*†10 (25)15 (37.5)15 (37.5)
     Chemotherapy21 (52.5)19 (47.5)
     Bisphosphonate or RANKL inhibitor3 (7.5)29 (72.5)8 (20)
     223Ra14 (35)26 (65)
     Regular need for analgesics15 (37.5)
    Extent of disease in 40 patients, detected by 68Ga-PSMA PET/CT
     Local recurrence17 (42.5)
     Bone met40 (100)<6 met in 3 pts (7.5)
    6–20 met in 2 pts (5)
    >20 met in 29 pts (72.5)
    Diffuse met in 6 pts (15)
     Lymph node met33 (82.5)Ileal and abd in 14 pts (45.5)
    Thor in 2 pts (6)
    Ileal to thor in 16 pts (48.5)
     Liver met8 (20)Singular met in 2 pts
    Multiple met in 6 pts
     Lung met3 (7.5)Singular met in 2 pts
    Multiple met in 1 pt
    • ↵* Five patients took neither abiretarone nor enzalutamide, and 3 patients took bicalutamide.

    • ↵† All patients who were taking enzalutamide or abiraterone had increasing PSA under these medications.

    • RANKL = receptor activator of nuclear factor κ-B ligand; met = metastases; pts = patients; abd = abdominal; thor = thoracic.

    • Data in parentheses are percentages.

    • View popup
    TABLE 2

    Blood, Renal, and Hepatic Parameters Before First Cycle

    ParameterMinimumMaximumMeanMedian
    Blood parameters
     WBCs (G/L) (norm, 3.6–10.5)2.712.26.46.3
     Hb (g/dL) (norm, 12.5–17.2)6.0*14.510.911.0
     Plt (G/L) (norm, 160–370)62557278.9262.5
    Renal parameters
     Creatinine (mg/dL) (norm, 0.6–1.3)0.532.540.950.9
     GFR (mL/min) (norm, > 70)50>70†
    Liver function tests
     Bilirubin total (mg/dL) (norm, 0.2–1.0)0.211.200.410.40
     ALT (U/L) (norm, <50)86718.916.5
     AST(U/L) (norm, <50)1030237.524
     GGT (U/L) (norm, <55)1742567.640
     Albumin (g/L) (norm, 35–52)25.846.937.637.6
    • ↵* Seven patients had received blood transfusion before therapy because of grade 3 tumor anemia 10–180 d before 177Lu-PSMA therapy (median, 21 d); 1 of the patients had another blood transfusion 1 d before therapy because of an Hb of 6 g/dL.

    • ↵† Thirty-two patients (80%) had a GFR greater than 70 mL/min.

    • WBCs = white blood cells; Hb = hemoglobin; Plt = platelets; GFR = glomerular fraction rate; ALT = alanine transaminase; AST = aspartate transaminase; GGT = γ-glutamyl transferase.

    • View popup
    TABLE 3

    Tumor Parameters

    ParameterMinimumMaximumMeanMedian
    ALP (U/L) (norm, 34–117)381,607247.3176.5
    LDH (U/L) (norm, <248)1471,875411.4257
    CRP (mg/L) (norm, <3)0.212824.916.2
    PSA (ng/mL)4.732,360495.1325.5
    • ALP = alkaline phosphatase; LDH = lactate dehydrogenase.

    • View popup
    TABLE 4

    SUVs of 40 Patients Before 177Lu-PSMA Therapy

    ParameterMinimumMaximumMeanMedian
    SUVmaxBN4.50100.6826.0720.76
    SUVmaxBN/liver0.6013.514.173.66
    SUVmaxBN/spleen0.6919.554.272.98
    SUVmaxLn4.098.6026.2414.10
    SUVmaxLn/liver0.4115.913.762.53
    SUVmaxLn/spleen0.3833.654.952.10
    • View popup
    TABLE 5

    Linear Regression Analysis of Different Pretherapeutic Parameters and Their Impact on PSA Change

    ParameterPParameterP
    Amount of activity (MBq)NSCreatinineNS
    Activity (MBq)/weight (Kg)NSTotal bilirubinNS
    AbiretaroneNSHbNS
    EnzalutamideNSRBCNS
    ChemotherapyNSWBCsNS
    223RaNSPSA levelNS
    Bisphosphonate or denosumabNSSUVmax (bone)NS
    Number of bone metastasesNSSUVmax (lymph node)NS
    Extent of lymph node metastasesNSSUVmax bone/liverNS
    Existence of liver metastasesNSSUVmax bone/spleenNS
    ECOG performance statusNSSUVmax lymph node/liverNS
    AlbuminNSSUVmax lymph node/spleenNS
    AST and ALTNSPlt0.0005
    ALPNSCRP0.0203
    GGTNSAge0.0139
    LDHNSGleason score0.0096
    GFRNSRegular need for pain medication0.0050
    • NS = not significant; Hb = hemoglobin; RBC = red blood cells; WBCs = white blood cells; AST = aspartate aminotransferase; ALT = alanine transaminase; Plt = platelets; ALP = alkaline phosphatase; LDH = lactate dehydrogenase; GFR = glomerular filtration rate.

    • View popup
    TABLE 6

    Univariate and Multivariate Analyses of Different Pretherapeutic Parameters Regarding Any PSA Decline

    ParameterOdds ratio95% CIPP multivariate analysis
    Activity (MBq)/weight (kg)0.9890.944–1.0350.62
    Abiretarone0.8460.368–1.9440.69
    Enzalutamide0.9320.398–2.1810.87
    Chemotherapy0.8280.426–1.6090.57
    223Ra0.4360.097–1.9580.27
    Bisphosphonate or denosumab0.8480.231–3.1090.80
    No. of bone metastases1.1650.444–3.0610.75
    Extent of lymph node metastases1.2810.731–2.2430.38
    Existence of liver metastases1.1140.202–6.1580.90
    ECOG performance status1.6850.761–3.7330.19
    Albumin0.9870.847–1.1490.86
    AST1.0180.988–1.0480.23
    ALT1.0430.976–1.1150.21
    GGT1.0241.006–1.0410.008NS
    ALP1.0030.999–1.0060.15
    LDH1.0021.000–1.0050.04NS
    Creatinine4.7140.464–47.9070.19
    Total bilirubin0.014<0.001–7.4010.18
    Hb0.5740.341–0.9670.04NS
    RBC0.4290.127–1.4440.17
    WBCs1.2200.890–1.6740.21
    PSA level0.9990.997–1.0000.15
    SUVmax (bone)0.9740.931–1.0200.26
    SUVmax (lymph node)0.9800.944–1.0180.30
    SUVmax bone/liver0.7460.529–1.0530.09
    SUVmax bone/spleen0.6350.394–1.0220.06
    SUVmax lymph node/liver0.7520.501–1.1300.16
    SUVmax lymph node/spleen0.8280.612–1.1200.22
    Plt1.0101.001–1.0180.020.01
    CRP1.0471.011–1.0850.009NS
    Age0.8850.805–0.9720.01NS
    Gleason score4.1211.304–13.0160.01NS
    Regular need for pain medication0.0910.017–0.5010.0050.0018
    • CI = confidence interval; NS = not significant; AST = aspartate aminotransferase; ALT = alanine transaminase; ALP = alkaline phosphatase; LDH = lactate dehydrogenase; Hb = hemoglobin; RBC = red blood cells; WBCs = white blood cells; Plt = platelets.

    • View popup
    TABLE 7

    Univariate and Multivariate Analysis of Different Pretherapeutic Parameters Regarding PSA Decline of More Than 50%

    ParameterOdds ratio95% CIPP multivariate analysis
    Activity (MBq)/weight (kg)1.0280.979–1.0790.26
    Abiretarone0.9860.427–2.2800.97
    Enzalutamide0.7380.315–1.7280.48
    Chemotherapy1.5260.775–3.0050.22
    223Ra1.3240.322–5.4390.69
    Bisphosphonate or denosumab1.1790.322–4.3200.80
    No. of bone metastases1.3510.538–3.3920.52
    Extent of lymph node metastases1.1890.721–1.9610.49
    Existence of liver metastases0.6610.088–4.9560.68
    ECOG performance status2.1500.918–5.0360.07
    Albumin1.0420.894–1.2150.59
    AST1.0090.983–1.0350.49
    ALT1.0170.948–1.0920.63
    GGT1.0130.995–1.0330.16
    ALP1.0020.998–1.0060.36
    LDH1.0050.999–1.0100.12
    Creatinine3.0310.218–42.1940.40
    Total bilirubin0.024<0.001–1.9080.09
    Hb0.8680.560–1.3450.52
    RBC1.0140.326–3.1580.98
    WBCs1.3770.956–1.9840.08
    PSA level1.0000.999–1.0010.77
    SUVmax (bone)1.0230.979–1.0700.30
    SUVmax (lymph node)0.9880.960–1.0160.39
    SUVmax bone/liver1.1990.900–1.5970.21
    SUVmax bone/spleen1.1200.898–1.3980.31
    SUVmax lymph node/liver0.9710.785–1.2000.78
    SUVmax lymph node/spleen0.9900.896–1.0940.84
    Plt1.0070.999–1.0150.10
    CRP1.0510.995–1.1100.07
    Age0.9530.876–1.0360.25
    Gleason score1.5980.853–2.9910.01NS
    Regular need for pain medication0.1560.036–0.6690.010.01
    • CI = confidence interval; AST = aspartate aminotransferase; ALT = alanine transaminase; ALP = alkaline phosphatase; LDH = lactate dehydrogenase; Hb = hemoglobin; RBC = red blood cells; Plt = platelets; WBCs = white blood cells; NS = not significant.

Additional Files

  • Figures
  • Tables
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 58 (2)
Journal of Nuclear Medicine
Vol. 58, Issue 2
February 1, 2017
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Predictors of Response to Radioligand Therapy of Metastatic Castrate-Resistant Prostate Cancer with 177Lu-PSMA-617
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Predictors of Response to Radioligand Therapy of Metastatic Castrate-Resistant Prostate Cancer with 177Lu-PSMA-617
Justin Ferdinandus, Elisabeth Eppard, Florian C. Gaertner, Stefan Kürpig, Rolf Fimmers, Anna Yordanova, Stefan Hauser, Georg Feldmann, Markus Essler, Hojjat Ahmadzadehfar
Journal of Nuclear Medicine Feb 2017, 58 (2) 312-319; DOI: 10.2967/jnumed.116.178228

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Predictors of Response to Radioligand Therapy of Metastatic Castrate-Resistant Prostate Cancer with 177Lu-PSMA-617
Justin Ferdinandus, Elisabeth Eppard, Florian C. Gaertner, Stefan Kürpig, Rolf Fimmers, Anna Yordanova, Stefan Hauser, Georg Feldmann, Markus Essler, Hojjat Ahmadzadehfar
Journal of Nuclear Medicine Feb 2017, 58 (2) 312-319; DOI: 10.2967/jnumed.116.178228
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Analysing the tumor transcriptome of prostate cancer to predict efficacy of Lu-PSMA therapy
  • The Impact of PSMA PET-Based Eligibility Criteria Used in the Prospective Phase II TheraP Trial in Metastatic Castration-Resistant Prostate Cancer Patients Undergoing Prostate-Specific Membrane Antigen-Targeted Radioligand Therapy
  • The Impact of PSMA PET-Based Eligibility Criteria Used in the Prospective Phase II TheraP Trial in Metastatic Castration-Resistant Prostate Cancer Patients Undergoing Prostate-Specific Membrane Antigen-Targeted Radioligand Therapy
  • 177Lu-Prostate-Specific Membrane Antigen Ligand After 223Ra Treatment in Men with Bone-Metastatic Castration-Resistant Prostate Cancer: Real-World Clinical Experience
  • Neuroendocrine Differentiation and Response to PSMA-Targeted Radioligand Therapy in Advanced Metastatic Castration-Resistant Prostate Cancer: A Single-Center Retrospective Study
  • Response Prediction of 177Lu-PSMA-617 Radioligand Therapy Using Prostate-Specific Antigen, Chromogranin A, and Lactate Dehydrogenase
  • Preclinical Evaluation of 203/212Pb-Labeled Low-Molecular-Weight Compounds for Targeted Radiopharmaceutical Therapy of Prostate Cancer
  • Albumin-Binding PSMA Ligands: Implications for Expanding the Therapeutic Window
  • Predictive Factors of Response and Overall Survival in Patients with Castration-Resistant Metastatic Prostate Cancer Undergoing 177Lu-PSMA Therapy
  • Repeated 177Lu-Labeled PSMA-617 Radioligand Therapy Using Treatment Activities of Up to 9.3 GBq
  • Google Scholar

More in this TOC Section

Theranostics

  • Can 177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data
  • Evidence-Based Clinical Protocols to Monitor Efficacy of [177Lu]Lu-PSMA Radiopharmaceutical Therapy in Metastatic Castration-Resistant Prostate Cancer Using Real-World Data
  • 177Lu-Labeled Anticlaudin 6 Monoclonal Antibody for Targeted Therapy in Esophageal Cancer
Show more Theranostics

Clinical

  • Addition of 131I-MIBG to PRRT (90Y-DOTATOC) for Personalized Treatment of Selected Patients with Neuroendocrine Tumors
  • SUVs Are Adequate Measures of Lesional 18F-DCFPyL Uptake in Patients with Low Prostate Cancer Disease Burden
  • Hypermetabolism on Pediatric PET Scans of Brain Glucose Metabolism: What Does It Signify?
Show more Clinical

Similar Articles

Keywords

  • PSMA
  • 177Lu
  • prostate cancer
  • radioligand therapy
  • PSA
  • treatment response
SNMMI

© 2025 SNMMI

Powered by HighWire