Evidence map›Paper›PMID 33168599›Full record

ArticleMolecular cancer research : MCR2021

Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum.

Kathryn L Penney, Svitlana Tyekucheva, Jacob Rosenthal, Habiba El Fandy, Ryan Carelli, Stephanie Borgstein, Giorgia Zadra, Giuseppe Nicolò Fanelli, Lavinia Stefanizzi, Francesca Giunchi and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  9. METCAM/MUC18 is a Biomarker and Therapeutic Target for Prostate Cancer.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
  10. Review
  11. Article
  12. Review
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  14. Article
  15. Article
  16. Advances in Prostate Cancer Biomarkers and Probes.Cyborg and bionic systems (Washington, D.C.) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 3 countries.

Kathryn L Penney *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Svitlana Tyekucheva *Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-3119-6507
Jacob RosenthalDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-1767-1826
Habiba El FandyDepartment of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Ryan CarelliDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine and the New York Genome Center, New York, New York.
Stephanie BorgsteinDepartment of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-3343-7175
Giorgia ZadraDepartment of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Giuseppe Nicolò FanelliDivision of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0001-7069-7980
Lavinia StefanizziDepartment of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy.
Francesca GiunchiMetropolitan Department of Pathology, University of Bologna, Bologna, Italy.
Mark PomerantzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Samuel PeischDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Hannah CoulsonDepartment of Pathology, Brigham & Women's Hospital, Boston, Massachusetts.
Rosina LisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-5237-5299
Adam S KibelDivision of Urology, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Michelangelo FiorentinoMetropolitan Department of Pathology, University of Bologna, Bologna, Italy.
Renato UmetonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Massimo LodaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine and the New York Genome Center, New York, New York. mloda@med.cornell.edu.
Dana-Farber Cancer Institute · USHarvard University · USBrigham and Women's Hospital · USUniversity of Bologna · ITBroad Institute · USCairo University · EGCornell University · USUniversity of Pisa · ITUniversity of Verona · IT

Funding

Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI KANTOFF, PHILIP W · 2002 to 2017
$36.2M
Weill Cornell Medicine (WCM) SPORE in Prostate CancerP50CA211024 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LODA, MASSIMO · 2017 to 2021
$10.9M
Molecular Link Between Metabolic Syndrome and Prostate CancerR01CA131945 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO · 2008 to 2018
$4.0M
NCI NIH HHS P50 CA090381NCI NIH HHS P50 CA211024NCI NIH HHS R01 CA131945
6 · The paper itself

Abstract

Gleason score, a measure of prostate tumor differentiation, is the strongest predictor of lethal prostate cancer at the time of diagnosis. Metabolomic profiling of tumor and of patient serum could identify biomarkers of aggressive disease and lead to the development of a less-invasive assay to perform active surveillance monitoring. Metabolomic profiling of prostate tissue and serum samples was performed. Metabolite levels and metabolite sets were compared across Gleason scores. Machine learning algorithms were trained and tuned to predict transformation or differentiation status from metabolite data. A total of 135 metabolites were significantly different (

Indexed as

HumansMachine LearningMaleMetabolomicsNeoplasm GradingProstatic Neoplasms

Identifiers

PMID33168599
PMCPMC8369519
OpenAlexW3104396499

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.