Evidence map›Paper›PMID 28192215›Full record

ReviewMetabolic engineering2017

Review of metabolic pathways activated in cancer cells as determined through isotopic labeling and network analysis.

Wentao Dong, Mark A Keibler, Gregory Stephanopoulos

Abstract readReview
In one paragraph

Review in Metabolic engineering, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
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  5. Review
  6. Article
  7. Review
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  9. Article
  10. Article
  11. Review
  12. Isotope tracing in health and disease.Current opinion in biotechnology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. mfapy: An open-source Python package forMetabolic engineering communications · 2021
    Article
  19. Article
  20. 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

3 authors.

Wentao DongDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Mark A KeiblerDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Gregory StephanopoulosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: gregstep@mit.edu.

Funding

Hypoxia-induced Metabolic Changes in CancerR01CA160458 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ILIOPOULOS, OTHON, STEPHANOPOULOS, GREGORY · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA160458
6 · The paper itself

Abstract

Cancer metabolism has emerged as an indispensable part of contemporary cancer research. During the past 10 years, the use of stable isotopic tracers and network analysis have unveiled a number of metabolic pathways activated in cancer cells. Here, we review such pathways along with the particular tracers and labeling observations that led to the discovery of their rewiring in cancer cells. The list of such pathways comprises the reductive metabolism of glutamine, altered glycolysis, serine and glycine metabolism, mutant isocitrate dehydrogenase (IDH) induced reprogramming and the onset of acetate metabolism. Additionally, we demonstrate the critical role of isotopic labeling and network analysis in identifying these pathways. The alterations described in this review do not constitute a complete list, and future research using these powerful tools is likely to discover other cancer-related pathways and new metabolic targets for cancer therapy.

Indexed as

GlycolysisMutationAmino AcidsAnimalsHumansIsocitrate DehydrogenaseIsotope LabelingNeoplasm ProteinsNeoplasmsAmino AcidsIsocitrate DehydrogenaseNeoplasm ProteinsCancer metabolismIsotopic labeling analysis

Identifiers

PMID28192215
PMCPMC5552450

What OpenQuestion holds

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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.