The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Acidic tumor microenvironment and pH-sensing G protein-coupled receptors
Open accessAbstract
The tumor microenvironment is acidic due to glycolytic cancer cell metabolism, hypoxia, and deficient blood perfusion. It is proposed that acidosis in the tumor microenvironment is an important stress factor and selection force for cancer cell somatic evolution. Acidic pH has pleiotropic effects on the proliferation, migration, invasion, metastasis, and therapeutic response of cancer cells and the function of immune cells, vascular cells, and other stromal cells. However, the molecular mechanisms by which cancer cells and stromal cells sense and respond to acidic pH in the tumor microenvironment are poorly understood. In this article the role of a family of pH-sensing G protein-coupled receptors (GPCRs) in tumor biology is reviewed. Recent studies show that the pH-sensing GPCRs, including GPR4, GPR65 (TDAG8), GPR68 (OGR1), and GPR132 (G2A), regulate cancer cell metastasis and proliferation, immune cell function, inflammation, and blood vessel formation. Activation of the proton-sensing GPCRs by acidosis transduces multiple downstream G protein signaling pathways. Since GPCRs are major drug targets, small molecule modulators of the pH-sensing GPCRs are being actively developed and evaluated. Research on the pH-sensing GPCRs will continue to provide important insights into the molecular interaction between tumor and its acidic microenvironment and may identify new targets for cancer therapy and chemoprevention.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Immunity, Inflammation, and Cancer
Grivennikov, S. I., Greten, F. R., & Karin, M. (2010) · Cell · doi:10.1016/j.cell.2010.01.025 · Cited by 10,755
Massagué, J. (1998) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.67.1.753 · Cited by 7,556
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784
Journal of Biological Chemistry
(2021) · Journal of Biological Chemistry · doi:10.1074/jbc · Cited by 3,400
(1989) · PubMed · Cited by 3,343
Dysregulated pH: a perfect storm for cancer progression
Webb, B. A., Chimenti, M., Jacobson, M. P., & Barber, D. L. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3110 · Cited by 2,237
EGFR exon 20 insertion A763-Y764insFQEA and response to erlotinib-letter
Xu, S., Garofalo, A., Neamati, N., & GRANDE, F. (2011) · National University of Singapore · doi:10.1158/1535-7163 · Cited by 1,690
(1989) · PubMed · Cited by 1,639
Cited by
The Science and Translation of Lactate Shuttle Theory
Brooks, G. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.008 · Cited by 1,486
Macrophage-Associated PGK1 Phosphorylation Promotes Aerobic Glycolysis and Tumorigenesis
Zhang, Y., Yu, G., Chu, H., Wang, X., Xiong, L., Cai, G., Liu, R., Gao, H., Tao, B., Li, W., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.023 · Cited by 348
Wang, Z., Zhang, Y., Zhang, J., Huang, L., Liu, J., Li, Y., Zhang, G., Kundu, S. C., & Wang, L. (2014) · Scientific Reports · doi:10.1038/srep07064 · Cited by 289
Nanoparticle Interactions with the Tumor Microenvironment
Huai, Y., Hossen, M. N., Wilhelm, S., Bhattacharya, R., & Mukherjee, P. (2019) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.9b00448 · Cited by 113
Structure and Dynamics of PD-L1 and an Ultra-High-Affinity PD-1 Receptor Mutant
Pascolutti, R., Sun, X., Kao, J., Maute, R. L., Ring, A. M., Bowman, G. R., & Kruse, A. C. (2016) · Structure · doi:10.1016/j.str.2016.06.026 · Cited by 102
Metadata
- Authors
- Justus, C. R., Dong, L., & Yang, L. V.
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 4
- Pages
- 354-354
- ISSN
- 1664-042X (ISSN-L)
- OpenAlex
- W1970838453
- Cited by
- 374
- References
- 109
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acidic tumor microenvironment and pH-sensing G protein-coupled receptors. https://app.cochat.ai/papers/10.3389/fphys.2013.00354
- The paper
- Justus, C. R., Dong, L., & Yang, L. V. (2013). Acidic tumor microenvironment and pH-sensing G protein-coupled receptors. Frontiers in Physiology. https://doi.org/10.3389/fphys.2013.00354
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.