Evidence map›Paper›PMID 32300553›Full record

ReviewFrontiers in oncology2020

Shedding New Light on Cancer Metabolism: A Metabolic Tightrope Between Life and Death.

Matthias Läsche, Günter Emons, Carsten Gründker

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. 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
2.7field-weighted citation impact, top 8% 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, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. iScience · 2026
    Article
  4. Review
  5. Review
  6. CytochromeSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Macrophages in immunoregulation and therapeutics.Signal transduction and targeted therapy · 2023
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Overview of Cancer Metabolism and Signaling Transduction.International journal of molecular sciences · 2022
    Review
  19. SP and KLF Transcription Factors in Cancer Metabolism.International journal of molecular sciences · 2022
    Review
  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 at 1 institution in 1 country.

Matthias LäscheDepartment of Gynecology and Obstetrics, University Medicine Göttingen, Göttingen, Germany.
Günter EmonsDepartment of Gynecology and Obstetrics, University Medicine Göttingen, Göttingen, Germany.
Carsten GründkerDepartment of Gynecology and Obstetrics, University Medicine Göttingen, Göttingen, Germany.
Universitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the earliest findings of Otto Warburg, who discovered the first metabolic differences between lactate production of cancer cells and non-malignant tissues in the 1920s, much time has passed. He explained the increased lactate levels with dysfunctional mitochondria and aerobic glycolysis despite adequate oxygenation. Meanwhile, we came to know that mitochondria remain instead functional in cancer cells; hence, metabolic drift, rather than being linked to dysfunctional mitochondria, was found to be an active act of direct response of cancer cells to cell proliferation and survival signals. This metabolic drift begins with the use of sugars and the full oxidative phosphorylation via the mitochondrial respiratory chain to form CO

Indexed as

cancermetabolismmetastasismicroenvironmenttherapy

Identifiers

PMID32300553
PMCPMC7145406
OpenAlexW3013726240

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.