Evidence map›Paper›PMID 31069574›Full record

ReviewCancer metastasis reviews2019

Acidosis and proteolysis in the tumor microenvironment.

Kyungmin Ji, Linda Mayernik, Kamiar Moin, Bonnie F Sloane

Open access · greenAbstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 84 citations in OpenAlex.

  1. Review
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  3. Neuropeptide Y as a Neuro-Immune Checkpoint in Cancer.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
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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.

Kyungmin JiDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
Linda MayernikDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
Kamiar MoinDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
Bonnie F SloaneDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, MI, 48201, USA. bsloane@med.wayne.edu.
Wayne State University · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

The glycolytic phenotype of the Warburg effect is associated with acidification of the tumor microenvironment. In this review, we describe how acidification of the tumor microenvironment may increase the invasive and degradative phenotype of cancer cells. As a template of an extracellular acidic microenvironment that is linked to proteolysis, we use the resorptive pit formed between osteoclasts and bone. We describe similar changes that have been observed in cancer cells in response to an acidic microenvironment and that are associated with proteolysis and invasive and metastatic phenotypes. This includes consideration of changes observed in the intracellular trafficking of vesicles, i.e., lysosomes and exosomes, and in specialized regions of the membrane, i.e., invadopodia and caveolae. Cancer-associated cells are known to affect what is generally referred to as tumor proteolysis but little direct evidence for this being regulated by acidosis; we describe potential links that should be verified.

Indexed as

AcidosisAnimalsHumansNeoplasmsProteolysisTumor MicroenvironmentAcidosisCaveolaeExosomesInvadopodiaLysosomes

Identifiers

PMID31069574
PMCPMC6886241
OpenAlexW2944477143

What OpenQuestion holds

Textmetadata
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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.