Evidence map›Paper›PMID 29209003›Full record

ReviewProstate cancer and prostatic diseases2018

Prostate cancer diagnosis and characterization with mass spectrometry imaging.

Annika Kurreck, Lindsey A Vandergrift, Taylor L Fuss, Piet Habbel, Nathalie Y R Agar, Leo L Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Prostate cancer and prostatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Lipidomics, Microbiota, and IntestinalInternational journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. The foundations and development of lipidomics.Journal of lipid research · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

6 authors at 3 institutions in 2 countries.

Annika KurreckDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lindsey A VandergriftDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Taylor L FussDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Piet HabbelDepartment of Hematology and Oncology, Charité Medical University of Berlin, Berlin, Germany.
Nathalie Y R AgarDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Leo L ChengDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. lcheng@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · USCharité - Universitätsmedizin Berlin · DE

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Characterizing Prostate Cancer By ex vivo MRS SignaturesR01CA115746 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHENG, LEO L · 2006 to 2017
$6.4M
Real-Time Stereotactic Mass Spectrometry Tissue Analysis for Intraoperative NeuroDP2OD007383 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI AGAR, NATHALIE YR · 2010 to 2010
$2.7M
Evaluating mass spectrometry for intraoperative tissue characterization in breast-conserving therapyR01CA201469 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI AGAR, NATHALIE YR · 2016 to 2020
$2.0M
NCI NIH HHS R01 CA115746NCI NIH HHS R01 CA201469NIBIB NIH HHS P41 EB015898NIH HHS DP2 OD007383
6 · The paper itself

Abstract

backgroundProstate cancer (PCa), the most common cancer and second leading cause of cancer death in American men, presents the clinical challenge of distinguishing between indolent and aggressive tumors for proper treatment. PCa presents significant alterations in metabolic pathways that can potentially be measured using techniques like mass spectrometry (MS) or MS imaging (MSI) and used to characterize PCa aggressiveness. MS quantifies metabolomic, proteomic, and lipidomic profiles of biological systems that can be further visualized for their spatial distributions through MSI.

methodsPubMed was queried for all publications relating to MS and MSI in human PCa from April 2007 to April 2017. With the goal of reviewing the utility of MSI in diagnosis and prognostication of human PCa, MSI articles that reported investigations of PCa-specific metabolites or metabolites indicating PCa aggressiveness were selected for inclusion. Articles were included that covered MS and MSI principles, limitations, and applications in PCa.

resultsWe identified nine key studies on MSI in intact human prostate tissue specimens that determined metabolites which could either differentiate between benign and malignant prostate tissue or indicate PCa aggressiveness. These MSI-detected biomarkers show promise in reliably identifying PCa and determining disease aggressiveness.

conclusionsMSI represents an innovative technique with the ability to interrogate cancer biomarkers in relation to tissue pathologies and investigate tumor aggressiveness. We propose MSI as a powerful adjuvant histopathology imaging tool for prostate tissue evaluations, where clinical translation of this ex vivo technique could make possible the use of MSI for personalized medicine in diagnosis and prognosis of PCa. Moreover, the knowledge provided from this technique can majorly contribute to the understanding of molecular pathogenesis of PCa and other malignant diseases.

Indexed as

Biomarkers, TumorBiopsyHumansMaleMetabolomicsMolecular ImagingProstateProstatic NeoplasmsProteomicsSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID29209003
PMCPMC5988647
OpenAlexW2774573103

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.