Evidence map›Paper›PMID 24004445›Full record

ArticleCancer cell international2013

Acidic extracellular microenvironment and cancer.

Yasumasa Kato, Shigeyuki Ozawa, Chihiro Miyamoto, Yojiro Maehata, Atsuko Suzuki, Toyonobu Maeda, Yuh Baba

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 538 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
538citing papers in PubMed, 1 pooled it
18.5field-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

538 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,271 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Optimizing [Nuclear medicine and molecular imaging · 2026
    Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

478 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 2 institutions in 1 country.

Yasumasa KatoDepartment of Oral Function and Molecular Biology, Ohu University School of Dentistry, 963-8611, Koriyama, Japan. yasumasa-kato@umin.ac.jp.
Shigeyuki Ozawa
Chihiro Miyamoto
Yojiro Maehata
Atsuko Suzuki
Toyonobu Maeda
Yuh Baba
Ohu University · JPKanagawa Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acidic extracellular pH is a major feature of tumor tissue, extracellular acidification being primarily considered to be due to lactate secretion from anaerobic glycolysis. Clinicopathological evidence shows that transporters and pumps contribute to H+ secretion, such as the Na+/H+ exchanger, the H+-lactate co-transporter, monocarboxylate transporters, and the proton pump (H+-ATPase); these may also be associated with tumor metastasis. An acidic extracellular pH not only activates secreted lysosomal enzymes that have an optimal pH in the acidic range, but induces the expression of certain genes of pro-metastatic factors through an intracellular signaling cascade that is different from hypoxia. In addition to lactate, CO2 from the pentose phosphate pathway is an alternative source of acidity, showing that hypoxia and extracellular acidity are, while being independent from each other, deeply associated with the cellular microenvironment. In this article, the importance of an acidic extracellular pH as a microenvironmental factor participating in tumor progression is reviewed.

Identifiers

PMID24004445
PMCPMC3849184
OpenAlexW2115749410

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.