Evidence map›Paper›PMID 34337548›Full record

ArticleEuropean urology open science2021

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

Juho Jasu, Teemu Tolonen, Emmanuel S Antonarakis, Himisha Beltran, Susan Halabi, Mario A Eisenberger, Michael A Carducci, Yohann Loriot, Kim Van der Eecken, Martijn Lolkema and 19 more

Abstract read
In one paragraph

Article in European urology open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Juho JasuFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Teemu TolonenFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Emmanuel S AntonarakisDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Himisha BeltranDana Farber Cancer Institute, Boston, MA, USA.
Susan HalabiDuke University Medical Center, Department of Biostatistics and Bioinformatics, Durham, NC, USA.
Mario A EisenbergerDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Michael A CarducciDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Yohann LoriotDepartment of Medical Oncology, Gustave Roussy, Villejuif, France.
Kim Van der EeckenDepartment of Medical and Forensic Pathology, Ghent University, Ghent, Belgium.
Martijn LolkemaDepartment of Medical Oncology, Erasmus Medical Center, Rotterdam, The Netherlands.
Charles J RyanDepartment of Medicine, Division of Oncology, University of Minnesota, Minneapolis, MN, USA.
Sinja TaavitsainenFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Silke GillessenInstitute of Oncology of Southern Switzerland, Bellinzona, Switzerland.
Gunilla HögnäsFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Timo TalvitieFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Robert J TaylorIndependent consultant, Portland, ME, USA.
Antti KoskenalhoFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Piet OstDepartment of Radiation Oncology, Iridium Netwerk, Wilrijk (Antwerp), Belgium.
Teemu J MurtolaFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Irina Rinta-KiikkaFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Teuvo TammelaFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Anssi AuvinenFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Paula KujalaFimlab Laboratories, Department of Pathology, Tampere University Hospital, Tampere, Finland.
Thomas J SmithDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Pirkko-Liisa Kellokumpu-LehtinenFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
William B IsaacsBrady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Matti NykterFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
Juha KesseliFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.
G Steven BovaFaculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere University and Tays Cancer Center, Tampere, FI-33014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic identification of data essential for outcome prediction in metastatic prostate cancer (mPC) would accelerate development of precision oncology.

objectiveTo 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

participantsWe 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.

interventionThirty-three men prospectively consented to participate in an integrated clinical-molecular rapid autopsy study of mPC. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: 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: 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.

conclusionsThe 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: 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.

Indexed as

AutopsyComplicationsElectronic medical recordsMetastasisOutcomePhenotypingPrecision medicineProstate cancerText mining

Identifiers

PMID34337548
PMCPMC8317817

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.