Evidence map›Paper›PMID 29946774›Full record

ReviewAdvances in experimental medicine and biology

The Heterogeneity of Lipid Metabolism in Cancer.

Joshua K Park, Nathan J Coffey, Aaron Limoges, Anne Le

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
14.5field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 75 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Journal of traditional and complementary medicine · 2023
    Article
  9. Article
  10. Review
  11. Metabolic targeting of malignant tumors: a need for systemic approach.Journal of cancer research and clinical oncology · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. The foundations and development of lipidomics.Journal of lipid research · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Applications of Lipidomics in Tumor Diagnosis and Therapy.Advances in experimental medicine and biology · 2021
    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

4 authors at 4 institutions in 1 country.

Joshua K ParkDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nathan J CoffeyNational Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Aaron LimogesDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Anne LeDepartment of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. annele@jhmi.edu.
Columbia University · USJohns Hopkins Medicine · USJohns Hopkins University · USNational Institute on Alcohol Abuse and Alcoholism · US

Funding

Profiling Pancreatic Cancer Metabolism and Tumor Microenvironment for TherapyR21CA169757 · NCI · JOHNS HOPKINS UNIVERSITY · PI LE, ANNE · 2013 to 2014
$382k
NCI NIH HHS R21 CA169757
6 · The paper itself

Abstract

key pointsThe study of cancer cell metabolism has traditionally focused on glycolysis and glutaminolysis. However, lipidomic technologies have matured considerably over the last decade and broadened our understanding of how lipid metabolism is relevant to cancer biology [1–3]. Studies now suggest that the reprogramming of cellular lipid metabolism contributes directly to malignant transformation and progression [4, 5]. For example, de novo lipid synthesis can supply proliferating tumor cells with phospholipid components that comprise the plasma and organelle membranes of new daughter cells [6, 7]. Moreover, the upregulation of mitochondrial β-oxidation can support tumor cell energetics and redox homeostasis [8], while lipid-derived messengers can regulate major signaling pathways or coordinate immunosuppressive mechanisms [9–11]. Lipid metabolism has therefore become implicated in a variety of oncogenic processes, including metastatic colonization, drug resistance, and cell differentiation [10, 12–16]. However, whether we can safely and effectively modulate the underlying mechanisms for cancer therapy is still an open question.

Indexed as

AnimalsHumansLipid MetabolismNeoplasmsCancer metabolismFatty acid oxidationFatty acid uptakeLipidomicsLipid synthesisMetastasisTumor heterogeneity

Identifiers

PMID29946774
OpenAlexW2809846238

What OpenQuestion holds

Textmetadata
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.