Combined Longitudinal Clinical and Autopsy Phenomic Assessment in Lethal Metastatic Prostate Cancer: Recommendations for Advancing Precision Medicine.

Autopsy Complications Electronic medical records Metastasis Outcome Phenotyping Precision medicine Prostate cancer Text mining

Journal

European urology open science
ISSN: 2666-1683
Titre abrégé: Eur Urol Open Sci
Pays: Netherlands
ID NLM: 101771568

Informations de publication

Date de publication:
Aug 2021
Historique:
accepted: 27 05 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 3 8 2021
Statut: epublish

Résumé

Systematic identification of data essential for outcome prediction in metastatic prostate cancer (mPC) would accelerate development of precision oncology. To identify novel phenotypes and features associated with mPC outcome, and to identify biomarker and data requirements to be tested in future precision oncology trials. We analyzed deep longitudinal clinical, neuroendocrine expression, and autopsy data of 33 men who died from mPC between 1995 and 2004 (PELICAN33), and related findings to mPC biomarkers reported in the literature. Thirty-three men prospectively consented to participate in an integrated clinical-molecular rapid autopsy study of mPC. Data exploration with correction for multiple testing and survival analysis from the time of diagnosis to time to death and time to first occurrence of severe pain as outcomes were carried out. The effect of seven complications on the modeled probability of dying within 2 yr after presenting with the complication was evaluated using logistic regression. Feature exploration revealed novel phenotypes related to mPC outcome. Four complications (pleural effusion, severe anemia, severe or controlled pain, and bone fracture) predict the likelihood of death within 2 yr. Men with Gleason grade group 5 cancers developed severe pain sooner than those with lower-grade tumors. Surprisingly, neuroendocrine (NE) differentiation was frequently observed in the setting of high serum prostate-specific antigen (PSA) levels (≥30 ng/ml). In 4/33 patients, no controlled (requiring analgesics) or severe pain was detected, and strikingly, 14/15 metastatic sites studied in these men did not express NE markers, suggesting an inverse relationship between NE differentiation and pain in mPC. Intracranial subdural metastasis is common (36%) and is usually clinically undetected. Categorization of "skeletal-related events" complications used in recent studies likely obscures the understanding of spinal cord compression and fracture. Early death from prostate cancer was identified in a subgroup of men with a low longitudinal PSA bandwidth. Cachexia is common (body mass index <0.89 in 24/31 patients) but limited to the last year of life. Biomarker review identified 30 categories of mPC biomarkers in need of winnowing in future trials. All findings require validation in larger cohorts, preferably alongside data from this study. The study identified novel outcome subgroups for future validation and provides "vision for mPC precision oncology 2020-2050" draft recommendations for future data collection and biomarker studies. To better understand variation in metastatic prostate cancer behavior, we assembled and analyzed longitudinal clinical and autopsy records in 33 men. We identified novel outcomes, phenotypes, and aspects of disease burden to be tested and refined in future trials.

Sections du résumé

BACKGROUND BACKGROUND
Systematic identification of data essential for outcome prediction in metastatic prostate cancer (mPC) would accelerate development of precision oncology.
OBJECTIVE OBJECTIVE
To identify novel phenotypes and features associated with mPC outcome, and to identify biomarker and data requirements to be tested in future precision oncology trials.
DESIGN SETTING AND PARTICIPANTS METHODS
We analyzed deep longitudinal clinical, neuroendocrine expression, and autopsy data of 33 men who died from mPC between 1995 and 2004 (PELICAN33), and related findings to mPC biomarkers reported in the literature.
INTERVENTION METHODS
Thirty-three men prospectively consented to participate in an integrated clinical-molecular rapid autopsy study of mPC.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS METHODS
Data exploration with correction for multiple testing and survival analysis from the time of diagnosis to time to death and time to first occurrence of severe pain as outcomes were carried out. The effect of seven complications on the modeled probability of dying within 2 yr after presenting with the complication was evaluated using logistic regression.
RESULTS AND LIMITATIONS CONCLUSIONS
Feature exploration revealed novel phenotypes related to mPC outcome. Four complications (pleural effusion, severe anemia, severe or controlled pain, and bone fracture) predict the likelihood of death within 2 yr. Men with Gleason grade group 5 cancers developed severe pain sooner than those with lower-grade tumors. Surprisingly, neuroendocrine (NE) differentiation was frequently observed in the setting of high serum prostate-specific antigen (PSA) levels (≥30 ng/ml). In 4/33 patients, no controlled (requiring analgesics) or severe pain was detected, and strikingly, 14/15 metastatic sites studied in these men did not express NE markers, suggesting an inverse relationship between NE differentiation and pain in mPC. Intracranial subdural metastasis is common (36%) and is usually clinically undetected. Categorization of "skeletal-related events" complications used in recent studies likely obscures the understanding of spinal cord compression and fracture. Early death from prostate cancer was identified in a subgroup of men with a low longitudinal PSA bandwidth. Cachexia is common (body mass index <0.89 in 24/31 patients) but limited to the last year of life. Biomarker review identified 30 categories of mPC biomarkers in need of winnowing in future trials. All findings require validation in larger cohorts, preferably alongside data from this study.
CONCLUSIONS CONCLUSIONS
The study identified novel outcome subgroups for future validation and provides "vision for mPC precision oncology 2020-2050" draft recommendations for future data collection and biomarker studies.
PATIENT SUMMARY RESULTS
To better understand variation in metastatic prostate cancer behavior, we assembled and analyzed longitudinal clinical and autopsy records in 33 men. We identified novel outcomes, phenotypes, and aspects of disease burden to be tested and refined in future trials.

Identifiants

pubmed: 34337548
doi: 10.1016/j.euros.2021.05.011
pii: S2666-1683(21)00107-5
pmc: PMC8317817
doi:

Types de publication

Journal Article

Langues

eng

Pagination

47-62

Informations de copyright

© 2021 The Author(s).

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Auteurs

Juho Jasu (J)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Teemu Tolonen (T)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Fimlab Laboratories, Department of Pathology, Tampere University Hospital, Tampere, Finland.

Emmanuel S Antonarakis (ES)

Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Himisha Beltran (H)

Dana Farber Cancer Institute, Boston, MA, USA.

Susan Halabi (S)

Duke University Medical Center, Department of Biostatistics and Bioinformatics, Durham, NC, USA.

Mario A Eisenberger (MA)

Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Michael A Carducci (MA)

Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Yohann Loriot (Y)

Department of Medical Oncology, Gustave Roussy, Villejuif, France.

Kim Van der Eecken (K)

Department of Medical and Forensic Pathology, Ghent University, Ghent, Belgium.

Martijn Lolkema (M)

Department of Medical Oncology, Erasmus Medical Center, Rotterdam, The Netherlands.

Charles J Ryan (CJ)

Department of Medicine, Division of Oncology, University of Minnesota, Minneapolis, MN, USA.

Sinja Taavitsainen (S)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Silke Gillessen (S)

Institute of Oncology of Southern Switzerland, Bellinzona, Switzerland.
Faculty of Biosciences, Università della Svizzera Italiana, Lugano, Switzerland.
Faculty of Cancer Science, University of Manchester, UK.

Gunilla Högnäs (G)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Timo Talvitie (T)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Robert J Taylor (RJ)

Independent consultant, Portland, ME, USA.

Antti Koskenalho (A)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Piet Ost (P)

Department of Radiation Oncology, Iridium Netwerk, Wilrijk (Antwerp), Belgium.
Department of Human Structure and Repair, Ghent University, Ghent, Belgium.

Teemu J Murtola (TJ)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
TAYS Cancer Center, Department of Urology, Tampere, Finland.

Irina Rinta-Kiikka (I)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
TAYS Cancer Center, Department of Radiology, Tampere, Finland.

Teuvo Tammela (T)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
TAYS Cancer Center, Department of Urology, Tampere, Finland.

Anssi Auvinen (A)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.

Paula Kujala (P)

Fimlab Laboratories, Department of Pathology, Tampere University Hospital, Tampere, Finland.

Thomas J Smith (TJ)

Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Pirkko-Liisa Kellokumpu-Lehtinen (PL)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

William B Isaacs (WB)

Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Matti Nykter (M)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Juha Kesseli (J)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

G Steven Bova (GS)

Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Classifications MeSH