Evidence map›Paper›PMID 29628997›Full record

ReviewThe Japanese dental science review2018

Cancer metabolism: New insights into classic characteristics.

Yasumasa Kato, Toyonobu Maeda, Atsuko Suzuki, Yuh Baba

Open access · goldAbstract readReview
In one paragraph

Review in The Japanese dental science review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.

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8 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

4 authors at 1 institution in 1 country.

Yasumasa KatoDepartment of Oral Function and Molecular Biology, Ohu University School of Dentistry, 31-1 Misumido, Tomita-machi, Koriyama 963-8611, Japan.
Toyonobu MaedaDepartment of Oral Function and Molecular Biology, Ohu University School of Dentistry, 31-1 Misumido, Tomita-machi, Koriyama 963-8611, Japan.
Atsuko SuzukiDepartment of Oral Function and Molecular Biology, Ohu University School of Dentistry, 31-1 Misumido, Tomita-machi, Koriyama 963-8611, Japan.
Yuh BabaDepartment of General Clinical Medicine, Ohu University School of Dentistry, 31-1 Misumido, Tomita-machi, Koriyama 963-8611, Japan.
Ohu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initial studies of cancer metabolism in the early 1920s found that cancer cells were phenotypically characterized by aerobic glycolysis, in that these cells favor glucose uptake and lactate production, even in the presence of oxygen. This property, called the Warburg effect, is considered a hallmark of cancer. The mechanism by which these cells acquire aerobic glycolysis has been uncovered. Acidic extracellular fluid, secreted by cancer cells, induces a malignant phenotype, including invasion and metastasis. Cancer cells survival depends on a critical balance of redox status, which is regulated by amino acid metabolism. Glutamine is extremely important for oxidative phosphorylation and redox regulation. Cells highly dependent on glutamine and that cannot survive with glutamine are called glutamine-addicted cells. Metabolic reprogramming has been observed in cancer stem cells, which have the property of self-renewal and are resistant to chemotherapy and radiotherapy. These findings suggest that studies of cancer metabolism can reveal methods of preventing cancer recurrence and metastasis.

Indexed as

Acidic extracellular pHGlutamine metabolismGlycolysisWarburg effect

Identifiers

PMID29628997
PMCPMC5884251
OpenAlexW2760060734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.