Evidence map›Paper›PMID 27191653›Full record

ArticleOncotarget2016

Altered glutamine metabolism in platinum resistant ovarian cancer.

Chantelle D Hudson, Alyssa Savadelis, Anil Belur Nagaraj, Peronne Joseph, Stefanie Avril, Analisa DiFeo, Norbert Avril

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

67 citing papers in PubMed, 93 citations in OpenAlex.

  1. Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  19. Interplay between altered metabolism and DNA damage and repair in ovarian cancer.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
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7 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Chantelle D HudsonDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH 44106, USA.
Alyssa SavadelisDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH 44106, USA.
Anil Belur NagarajCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
Peronne JosephCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
Stefanie AvrilDepartment of Pathology, Case Western Reserve University, Cleveland, OH 44106, USA.
Analisa DiFeoCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
Norbert AvrilDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH 44106, USA.
Case Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Examining the role of the miR-181a:Wnt/B-catenin axis in ovarian cancerR01CA197780 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Analisa Virginia DiFeo · 2016 to 2026
$3.3M
PET Kinetic Modeling of Inhibiting Glycolysis in Ovarian CancerR21CA198795 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI AVRIL, NORBERT E., MUZIC, RAYMOND F · 2015 to 2016
$408k
NCATS NIH HHS KL2 TR000440NCATS NIH HHS UL1 TR000439NCI NIH HHS R01 CA197780NCI NIH HHS R21 CA198795
6 · The paper itself

Abstract

Ovarian cancer is characterized by an increase in cellular energy metabolism, which is predominantly satisfied by glucose and glutamine. Targeting metabolic pathways is an attractive approach to enhance the therapeutic effectiveness and to potentially overcome drug resistance in ovarian cancer. In platinum-sensitive ovarian cancer cell lines the metabolism of both, glucose and glutamine was initially up-regulated in response to platinum treatment. In contrast, platinum-resistant cells revealed a significant dependency on the presence of glutamine, with an upregulated expression of glutamine transporter ASCT2 and glutaminase. This resulted in a higher oxygen consumption rate compared to platinum-sensitive cell lines reflecting the increased dependency of glutamine utilization through the tricarboxylic acid cycle. The important role of glutamine metabolism was confirmed by stable overexpression of glutaminase, which conferred platinum resistance. Conversely, shRNA knockdown of glutaminase in platinum resistant cells resulted in re-sensitization to platinum treatment. Importantly, combining the glutaminase inhibitor BPTES with platinum synergistically inhibited platinum sensitive and resistant ovarian cancers in vitro. Apoptotic induction was significantly increased using platinum together with BPTES compared to either treatment alone. Our findings suggest that targeting glutamine metabolism together with platinum based chemotherapy offers a potential treatment strategy particularly in drug resistant ovarian cancer.

Indexed as

Drug Resistance, NeoplasmAntineoplastic AgentsCell Line, TumorCisplatinFemaleGlutaminaseGlutamineHumansMetabolic Networks and PathwaysOvarian NeoplasmsProteomeAntineoplastic AgentsCisplatinGlutaminaseGlutamineProteomecisplatin resistanceglutaminase inhibitorsglutamine metabolismovarian cancer

Identifiers

PMID27191653
PMCPMC5173084
OpenAlexW2366312136

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.