Evidence map›Paper›PMID 27811964›Full record

ArticleScientific reports2016

The Poly (ADP-Ribose) Polymerase Inhibitor Veliparib and Radiation Cause Significant Cell Line Dependent Metabolic Changes in Breast Cancer Cells.

Vijesh J Bhute, Yan Ma, Xiaoping Bao, Sean P Palecek

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021
    Review
  8. Review
  9. Review
  10. Metabolic alterations caused by the mutation and overexpression of theExperimental biology and medicine (Maywood, N.J.) · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. 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

4 authors at 1 institution in 1 country.

Vijesh J BhuteDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Yan MaDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Xiaoping BaoDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Sean P PalecekDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
University of Wisconsin–Madison · US

Funding

WATER DISTRIB:PHYSICAL PROPERT:PIZZA &LMPS MOZZARELLA CHEESES:EARLY STAGE MATURP41RR002301 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 1985 to 2011
$13.0M
TR&D 3: TECHNOLOGY DEVELOPMENT FOR NMR STUDIES OF SMALL MOLECULES (METABOLOMICS, NATURAL PRODUCTS, METABOLITE-PROTEIN INTERACTIONS) pp.537-585 P41GM103399 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 2012 to 2019
$9.4M
900 MHz NMR Spectrometer Biomolecular InvestigationsP41GM066326 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN L · 2002 to 2006
$5.0M
Radiation response within the tumor microenvironmentR01CA164492 · NCI · UNIVERSITY OF CHICAGO · PI KRON, STEPHEN J. · 2011 to 2015
$4.8M
WIDE-BORE 9.4 TESLA NMR SPECTROMETER FOR UW-MADISONS10RR002781 · NCRR · UNIVERSITY OF WISCONSIN MADISON · PI MARKLEY, JOHN L · 1986 to 1986
–
CONSOLE UPGRADES FOR NMR FACILITYS10RR008438 · NCRR · UNIVERSITY OF WISCONSIN MADISON · PI MARKLEY, JOHN L · 1993 to 1993
–
NCI NIH HHS R01 CA164492NCRR NIH HHS P41 RR002301NCRR NIH HHS S10 RR002781NCRR NIH HHS S10 RR008438NIGMS NIH HHS P41 GM066326NIGMS NIH HHS P41 GM103399
6 · The paper itself

Abstract

Breast tumors are characterized into subtypes based on their surface marker expression, which affects their prognosis and treatment. Poly (ADP-ribose) polymerase (PARP) inhibitors have shown promising results in clinical trials, both as single agents and in combination with other chemotherapeutics, in several subtypes of breast cancer patients. Here, we used NMR-based metabolomics to probe cell line-specific effects of the PARP inhibitor Veliparib and radiation on metabolism in three breast cancer cell lines. Our data reveal several cell line-independent metabolic changes upon PARP inhibition. Pathway enrichment and topology analysis identified that nitrogen metabolism, glycine, serine and threonine metabolism, aminoacyl-tRNA biosynthesis and taurine and hypotaurine metabolism were enriched after PARP inhibition in all three breast cancer cell lines. Many metabolic changes due to radiation and PARP inhibition were cell line-dependent, highlighting the need to understand how these treatments affect cancer cell response via changes in metabolism. Finally, both PARP inhibition and radiation induced a similar metabolic responses in BRCA-mutant HCC1937 cells, but not in MCF7 and MDAMB231 cells, suggesting that radiation and PARP inhibition share similar interactions with metabolic pathways in BRCA mutant cells. Our study emphasizes the importance of differences in metabolic responses to cancer treatments in different subtypes of cancers.

Indexed as

Amino AcidsBenzimidazolesBreast NeoplasmsCell Line, TumorCreatineDNA DamageFemaleGlutathioneHumansMagnetic Resonance SpectroscopyMCF-7 CellsMetabolic Networks and PathwaysMitochondriaNADOxidative StressPoly(ADP-ribose) Polymerase InhibitorsAmino AcidsBenzimidazolesCreatineGlutathioneNADPoly(ADP-ribose) Polymerase Inhibitorsveliparib

Identifiers

PMID27811964
PMCPMC5095763
OpenAlexW2546520016

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.