Evidence map›Paper›PMID 24359151›Full record

ArticleJournal of proteome research2014

Metabolomic profiling identifies biochemical pathways associated with castration-resistant prostate cancer.

Akash K Kaushik, Shaiju K Vareed, Sumanta Basu, Vasanta Putluri, Nagireddy Putluri, Katrin Panzitt, Christine A Brennan, Arul M Chinnaiyan, Ismael A Vergara, Nicholas Erho and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Review
  7. Metabolic changes during prostate cancer development and progression.Journal of cancer research and clinical oncology · 2023
    Review
  8. Review
  9. Targeting Glutamine Metabolism in Prostate Cancer.Frontiers in bioscience (Elite edition) · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
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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

16 authors at 4 institutions in 2 countries.

Akash K KaushikVerna and Marrs McLean Department of Biochemistry and Molecular Biology, ‡Alkek Center for Molecular Discovery, §Molecular and Cellular Biology, and ∥Department of Surgery, Baylor College of Medicine , Houston, Texas 77030, United States.
Shaiju K Vareed
Sumanta Basu
Vasanta Putluri
Nagireddy Putluri
Katrin Panzitt
Christine A Brennan
Arul M Chinnaiyan
Ismael A Vergara
Nicholas Erho
Nancy L Weigel
Nicholas Mitsiades
Ali Shojaie
Ganesh Palapattu
George Michailidis
Arun Sreekumar
Baylor College of Medicine · USUniversity of Michigan–Ann Arbor · USGenome British Columbia · CAUniversity of Washington · US

Funding

METABOLOMIC PROFILING AND BIOLOGIC BASIS OF RACIAL DISPARITY IN PROSTATE CANCERU01CA167234 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PALAPATTU, GANESH S, SREEKUMAR, ARUN · 2012 to 2016
$1.9M
Integrative Metabolomics of Prostate Cancer ProgressionR01CA133458 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SREEKUMAR, ARUN · 2008 to 2012
$1.6M
NCI NIH HHS 1R01CA133458-01NCI NIH HHS R01 CA133458NCI NIH HHS U01 CA167234
6 · The paper itself

Abstract

Despite recent developments in treatment strategies, castration-resistant prostate cancer (CRPC) is still the second leading cause of cancer-associated mortality among American men, the biological underpinnings of which are not well understood. To this end, we measured levels of 150 metabolites and examined the rate of utilization of 184 metabolites in metastatic androgen-dependent prostate cancer (AD) and CRPC cell lines using a combination of targeted mass spectrometry and metabolic phenotyping. Metabolic data were used to derive biochemical pathways that were enriched in CRPC, using Oncomine concept maps (OCM). The enriched pathways were then examined in-silico for their association with treatment failure (i.e., prostate specific antigen (PSA) recurrence or biochemical recurrence) using published clinically annotated gene expression data sets. Our results indicate that a total of 19 metabolites were altered in CRPC compared to AD cell lines. These altered metabolites mapped to a highly interconnected network of biochemical pathways that describe UDP glucuronosyltransferase (UGT) activity. We observed an association with time to treatment failure in an analysis employing genes restricted to this pathway in three independent gene expression data sets. In summary, our studies highlight the value of employing metabolomic strategies in cell lines to derive potentially clinically useful predictive tools.

Indexed as

MetabolomicsOrchiectomyCell Line, TumorChromatography, LiquidGene ExpressionGlucuronosyltransferaseHumansMaleMass SpectrometryProstatic NeoplasmsGlucuronosyltransferase

Identifiers

PMID24359151
PMCPMC3975657
OpenAlexW1973121454

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.