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Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer

IMPORTANCE: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) can detect low-volume, nonlocalized (ie, regional or metastatic) prostate cancer that was occult on conventional imaging. However, the long-term clinical implications of PSMA PET/CT upstag...

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Autores principales: Xiang, Michael, Ma, Ting Martin, Savjani, Ricky, Pollom, Erqi L., Karnes, R. Jeffrey, Grogan, Tristan, Wong, Jessica K., Motterle, Giovanni, Tosoian, Jeffrey J., Trock, Bruce J., Klein, Eric A., Stish, Bradley J., Dess, Robert T., Spratt, Daniel E., Pilar, Avinash, Reddy, Chandana, Levin-Epstein, Rebecca, Wedde, Trude B., Lilleby, Wolfgang A., Fiano, Ryan, Merrick, Gregory S., Stock, Richard G., Demanes, D. Jeffrey, Moran, Brian J., Huland, Hartwig, Tran, Phuoc T., Martin, Santiago, Martinez-Monge, Rafael, Krauss, Daniel J., Abu-Isa, Eyad I., Alam, Ridwan, Schwen, Zeyad, Pisansky, Thomas M., Choo, C. Richard, Song, Daniel Y., Greco, Stephen, Deville, Curtiland, McNutt, Todd, DeWeese, Theodore L., Ross, Ashley E., Ciezki, Jay P., Boutros, Paul C., Nickols, Nicholas G., Bhat, Prashant, Shabsovich, David, Juarez, Jesus E., Chong, Natalie, Kupelian, Patrick A., Rettig, Matthew B., Zaorsky, Nicholas G., Berlin, Alejandro, Tward, Jonathan D., Davis, Brian J., Reiter, Robert E., Steinberg, Michael L., Elashoff, David, Horwitz, Eric M., Tendulkar, Rahul D., Tilki, Derya, Czernin, Johannes, Gafita, Andrei, Romero, Tahmineh, Calais, Jeremie, Kishan, Amar U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669522/
https://www.ncbi.nlm.nih.gov/pubmed/34902034
http://dx.doi.org/10.1001/jamanetworkopen.2021.38550
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author Xiang, Michael
Ma, Ting Martin
Savjani, Ricky
Pollom, Erqi L.
Karnes, R. Jeffrey
Grogan, Tristan
Wong, Jessica K.
Motterle, Giovanni
Tosoian, Jeffrey J.
Trock, Bruce J.
Klein, Eric A.
Stish, Bradley J.
Dess, Robert T.
Spratt, Daniel E.
Pilar, Avinash
Reddy, Chandana
Levin-Epstein, Rebecca
Wedde, Trude B.
Lilleby, Wolfgang A.
Fiano, Ryan
Merrick, Gregory S.
Stock, Richard G.
Demanes, D. Jeffrey
Moran, Brian J.
Huland, Hartwig
Tran, Phuoc T.
Martin, Santiago
Martinez-Monge, Rafael
Krauss, Daniel J.
Abu-Isa, Eyad I.
Alam, Ridwan
Schwen, Zeyad
Pisansky, Thomas M.
Choo, C. Richard
Song, Daniel Y.
Greco, Stephen
Deville, Curtiland
McNutt, Todd
DeWeese, Theodore L.
Ross, Ashley E.
Ciezki, Jay P.
Boutros, Paul C.
Nickols, Nicholas G.
Bhat, Prashant
Shabsovich, David
Juarez, Jesus E.
Chong, Natalie
Kupelian, Patrick A.
Rettig, Matthew B.
Zaorsky, Nicholas G.
Berlin, Alejandro
Tward, Jonathan D.
Davis, Brian J.
Reiter, Robert E.
Steinberg, Michael L.
Elashoff, David
Horwitz, Eric M.
Tendulkar, Rahul D.
Tilki, Derya
Czernin, Johannes
Gafita, Andrei
Romero, Tahmineh
Calais, Jeremie
Kishan, Amar U.
author_facet Xiang, Michael
Ma, Ting Martin
Savjani, Ricky
Pollom, Erqi L.
Karnes, R. Jeffrey
Grogan, Tristan
Wong, Jessica K.
Motterle, Giovanni
Tosoian, Jeffrey J.
Trock, Bruce J.
Klein, Eric A.
Stish, Bradley J.
Dess, Robert T.
Spratt, Daniel E.
Pilar, Avinash
Reddy, Chandana
Levin-Epstein, Rebecca
Wedde, Trude B.
Lilleby, Wolfgang A.
Fiano, Ryan
Merrick, Gregory S.
Stock, Richard G.
Demanes, D. Jeffrey
Moran, Brian J.
Huland, Hartwig
Tran, Phuoc T.
Martin, Santiago
Martinez-Monge, Rafael
Krauss, Daniel J.
Abu-Isa, Eyad I.
Alam, Ridwan
Schwen, Zeyad
Pisansky, Thomas M.
Choo, C. Richard
Song, Daniel Y.
Greco, Stephen
Deville, Curtiland
McNutt, Todd
DeWeese, Theodore L.
Ross, Ashley E.
Ciezki, Jay P.
Boutros, Paul C.
Nickols, Nicholas G.
Bhat, Prashant
Shabsovich, David
Juarez, Jesus E.
Chong, Natalie
Kupelian, Patrick A.
Rettig, Matthew B.
Zaorsky, Nicholas G.
Berlin, Alejandro
Tward, Jonathan D.
Davis, Brian J.
Reiter, Robert E.
Steinberg, Michael L.
Elashoff, David
Horwitz, Eric M.
Tendulkar, Rahul D.
Tilki, Derya
Czernin, Johannes
Gafita, Andrei
Romero, Tahmineh
Calais, Jeremie
Kishan, Amar U.
author_sort Xiang, Michael
collection PubMed
description IMPORTANCE: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) can detect low-volume, nonlocalized (ie, regional or metastatic) prostate cancer that was occult on conventional imaging. However, the long-term clinical implications of PSMA PET/CT upstaging remain unclear. OBJECTIVES: To evaluate the prognostic significance of a nomogram that models an individual’s risk of nonlocalized upstaging on PSMA PET/CT and to compare its performance with existing risk-stratification tools. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included patients diagnosed with high-risk or very high-risk prostate cancer (ie, prostate-specific antigen [PSA] level >20 ng/mL, Gleason score 8-10, and/or clinical stage T3-T4, without evidence of nodal or metastatic disease by conventional workup) from April 1995 to August 2018. This multinational study was conducted at 15 centers. Data were analyzed from December 2020 to March 2021. EXPOSURES: Curative-intent radical prostatectomy (RP), external beam radiotherapy (EBRT), or EBRT plus brachytherapy (BT), with or without androgen deprivation therapy. MAIN OUTCOMES AND MEASURES: PSMA upstage probability was calculated from a nomogram using the biopsy Gleason score, percentage positive systematic biopsy cores, clinical T category, and PSA level. Biochemical recurrence (BCR), distant metastasis (DM), prostate cancer–specific mortality (PCSM), and overall survival (OS) were analyzed using Fine-Gray and Cox regressions. Model performance was quantified with the concordance (C) index. RESULTS: Of 5275 patients, the median (IQR) age was 66 (60-72) years; 2883 (55%) were treated with RP, 1669 (32%) with EBRT, and 723 (14%) with EBRT plus BT; median (IQR) PSA level was 10.5 (5.9-23.2) ng/mL; 3987 (76%) had Gleason grade 8 to 10 disease; and 750 (14%) had stage T3 to T4 disease. Median (IQR) follow-up was 5.1 (3.1-7.9) years; 1221 (23%) were followed up for at least 8 years. Overall, 1895 (36%) had BCR, 851 (16%) developed DM, and 242 (5%) died of prostate cancer. PSMA upstage probability was significantly prognostic of all clinical end points, with 8-year C indices of 0.63 (95% CI, 0.61-0.65) for BCR, 0.69 (95% CI, 0.66-0.71) for DM, 0.71 (95% CI, 0.67-0.75) for PCSM, and 0.60 (95% CI, 0.57-0.62) for PCSM (P < .001). The PSMA nomogram outperformed existing risk-stratification tools, except for similar performance to Staging Collaboration for Cancer of the Prostate (STAR-CAP) for PCSM (eg, DM: PSMA, 0.69 [95% CI, 0.66-0.71] vs STAR-CAP, 0.65 [95% CI, 0.62-0.68]; P < .001; Memorial Sloan Kettering Cancer Center nomogram, 0.57 [95% CI, 0.54-0.60]; P < .001; Cancer of the Prostate Risk Assessment groups, 0.53 [95% CI, 0.51-0.56]; P < .001). Results were validated in secondary cohorts from the Surveillance, Epidemiology, and End Results database and the National Cancer Database. CONCLUSIONS AND RELEVANCE: These findings suggest that PSMA upstage probability is associated with long-term, clinically meaningful end points. Furthermore, PSMA upstaging had superior risk discrimination compared with existing tools. Formerly occult, PSMA PET/CT–detectable nonlocalized disease may be the main driver of outcomes in high-risk patients.
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spelling pubmed-86695222021-12-29 Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer Xiang, Michael Ma, Ting Martin Savjani, Ricky Pollom, Erqi L. Karnes, R. Jeffrey Grogan, Tristan Wong, Jessica K. Motterle, Giovanni Tosoian, Jeffrey J. Trock, Bruce J. Klein, Eric A. Stish, Bradley J. Dess, Robert T. Spratt, Daniel E. Pilar, Avinash Reddy, Chandana Levin-Epstein, Rebecca Wedde, Trude B. Lilleby, Wolfgang A. Fiano, Ryan Merrick, Gregory S. Stock, Richard G. Demanes, D. Jeffrey Moran, Brian J. Huland, Hartwig Tran, Phuoc T. Martin, Santiago Martinez-Monge, Rafael Krauss, Daniel J. Abu-Isa, Eyad I. Alam, Ridwan Schwen, Zeyad Pisansky, Thomas M. Choo, C. Richard Song, Daniel Y. Greco, Stephen Deville, Curtiland McNutt, Todd DeWeese, Theodore L. Ross, Ashley E. Ciezki, Jay P. Boutros, Paul C. Nickols, Nicholas G. Bhat, Prashant Shabsovich, David Juarez, Jesus E. Chong, Natalie Kupelian, Patrick A. Rettig, Matthew B. Zaorsky, Nicholas G. Berlin, Alejandro Tward, Jonathan D. Davis, Brian J. Reiter, Robert E. Steinberg, Michael L. Elashoff, David Horwitz, Eric M. Tendulkar, Rahul D. Tilki, Derya Czernin, Johannes Gafita, Andrei Romero, Tahmineh Calais, Jeremie Kishan, Amar U. JAMA Netw Open Original Investigation IMPORTANCE: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) can detect low-volume, nonlocalized (ie, regional or metastatic) prostate cancer that was occult on conventional imaging. However, the long-term clinical implications of PSMA PET/CT upstaging remain unclear. OBJECTIVES: To evaluate the prognostic significance of a nomogram that models an individual’s risk of nonlocalized upstaging on PSMA PET/CT and to compare its performance with existing risk-stratification tools. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included patients diagnosed with high-risk or very high-risk prostate cancer (ie, prostate-specific antigen [PSA] level >20 ng/mL, Gleason score 8-10, and/or clinical stage T3-T4, without evidence of nodal or metastatic disease by conventional workup) from April 1995 to August 2018. This multinational study was conducted at 15 centers. Data were analyzed from December 2020 to March 2021. EXPOSURES: Curative-intent radical prostatectomy (RP), external beam radiotherapy (EBRT), or EBRT plus brachytherapy (BT), with or without androgen deprivation therapy. MAIN OUTCOMES AND MEASURES: PSMA upstage probability was calculated from a nomogram using the biopsy Gleason score, percentage positive systematic biopsy cores, clinical T category, and PSA level. Biochemical recurrence (BCR), distant metastasis (DM), prostate cancer–specific mortality (PCSM), and overall survival (OS) were analyzed using Fine-Gray and Cox regressions. Model performance was quantified with the concordance (C) index. RESULTS: Of 5275 patients, the median (IQR) age was 66 (60-72) years; 2883 (55%) were treated with RP, 1669 (32%) with EBRT, and 723 (14%) with EBRT plus BT; median (IQR) PSA level was 10.5 (5.9-23.2) ng/mL; 3987 (76%) had Gleason grade 8 to 10 disease; and 750 (14%) had stage T3 to T4 disease. Median (IQR) follow-up was 5.1 (3.1-7.9) years; 1221 (23%) were followed up for at least 8 years. Overall, 1895 (36%) had BCR, 851 (16%) developed DM, and 242 (5%) died of prostate cancer. PSMA upstage probability was significantly prognostic of all clinical end points, with 8-year C indices of 0.63 (95% CI, 0.61-0.65) for BCR, 0.69 (95% CI, 0.66-0.71) for DM, 0.71 (95% CI, 0.67-0.75) for PCSM, and 0.60 (95% CI, 0.57-0.62) for PCSM (P < .001). The PSMA nomogram outperformed existing risk-stratification tools, except for similar performance to Staging Collaboration for Cancer of the Prostate (STAR-CAP) for PCSM (eg, DM: PSMA, 0.69 [95% CI, 0.66-0.71] vs STAR-CAP, 0.65 [95% CI, 0.62-0.68]; P < .001; Memorial Sloan Kettering Cancer Center nomogram, 0.57 [95% CI, 0.54-0.60]; P < .001; Cancer of the Prostate Risk Assessment groups, 0.53 [95% CI, 0.51-0.56]; P < .001). Results were validated in secondary cohorts from the Surveillance, Epidemiology, and End Results database and the National Cancer Database. CONCLUSIONS AND RELEVANCE: These findings suggest that PSMA upstage probability is associated with long-term, clinically meaningful end points. Furthermore, PSMA upstaging had superior risk discrimination compared with existing tools. Formerly occult, PSMA PET/CT–detectable nonlocalized disease may be the main driver of outcomes in high-risk patients. American Medical Association 2021-12-13 /pmc/articles/PMC8669522/ /pubmed/34902034 http://dx.doi.org/10.1001/jamanetworkopen.2021.38550 Text en Copyright 2021 Xiang M et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Xiang, Michael
Ma, Ting Martin
Savjani, Ricky
Pollom, Erqi L.
Karnes, R. Jeffrey
Grogan, Tristan
Wong, Jessica K.
Motterle, Giovanni
Tosoian, Jeffrey J.
Trock, Bruce J.
Klein, Eric A.
Stish, Bradley J.
Dess, Robert T.
Spratt, Daniel E.
Pilar, Avinash
Reddy, Chandana
Levin-Epstein, Rebecca
Wedde, Trude B.
Lilleby, Wolfgang A.
Fiano, Ryan
Merrick, Gregory S.
Stock, Richard G.
Demanes, D. Jeffrey
Moran, Brian J.
Huland, Hartwig
Tran, Phuoc T.
Martin, Santiago
Martinez-Monge, Rafael
Krauss, Daniel J.
Abu-Isa, Eyad I.
Alam, Ridwan
Schwen, Zeyad
Pisansky, Thomas M.
Choo, C. Richard
Song, Daniel Y.
Greco, Stephen
Deville, Curtiland
McNutt, Todd
DeWeese, Theodore L.
Ross, Ashley E.
Ciezki, Jay P.
Boutros, Paul C.
Nickols, Nicholas G.
Bhat, Prashant
Shabsovich, David
Juarez, Jesus E.
Chong, Natalie
Kupelian, Patrick A.
Rettig, Matthew B.
Zaorsky, Nicholas G.
Berlin, Alejandro
Tward, Jonathan D.
Davis, Brian J.
Reiter, Robert E.
Steinberg, Michael L.
Elashoff, David
Horwitz, Eric M.
Tendulkar, Rahul D.
Tilki, Derya
Czernin, Johannes
Gafita, Andrei
Romero, Tahmineh
Calais, Jeremie
Kishan, Amar U.
Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title_full Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title_fullStr Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title_full_unstemmed Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title_short Performance of a Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography–Derived Risk-Stratification Tool for High-risk and Very High-risk Prostate Cancer
title_sort performance of a prostate-specific membrane antigen positron emission tomography/computed tomography–derived risk-stratification tool for high-risk and very high-risk prostate cancer
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669522/
https://www.ncbi.nlm.nih.gov/pubmed/34902034
http://dx.doi.org/10.1001/jamanetworkopen.2021.38550
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