Ion channel expression as promising cancer biomarker
Open accessAbstract
Cancer is a disease with marked heterogeneity in both response to therapy and survival. Clinical and histopathological characteristics have long determined prognosis and therapy. The introduction of molecular diagnostics has heralded an explosion in new prognostic factors. Overall, histopathology, immunohistochemistry and molecular biology techniques have described important new prognostic subgroups in the different cancer categories. Ion channels and transporters (ICT) are a new class of membrane proteins which are aberrantly expressed in several types of human cancers. Besides regulating different aspect of cancer cell behavior, ICT can now represent novel cancer biomarkers. A summary of the data obtained so far and relative to breast, prostate, lung, colorectal, esophagus, pancreatic and gastric cancers are reported. Special emphasis is given to those studies aimed at relating specific ICT or a peculiar ICT profile with current diagnostic methods. Overall, we are close to exploit ICTs for diagnostic, prognostic or predictive purposes in cancer. This article is part of a Special Issue entitled: Membrane channels and transporters in cancers.
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Cancer cells have alterations in ion channel expression, membrane distribution, and function.
“There are also alterations in ion channel expression, membrane distribution, and function in cancer cells, which indicates how ion channel changes could serve as biomarkers of tumor progression [35].”
From Permeabilizing Cell Membranes with Electric Fields (2021) · cites this paper as [35]
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Research works printed but not linked: 1
- E. Lastraioli, F. Gasperi Campani, A. Taddei, I. Giani, L. Messerini, C.E. Comin, A. Tomezzoli, L. Saragoni, W. Zoli, P. Morgagni, G. De Manzoni, P. Bechi, A. Arcangeli, hERG1 channels are overexpressed in human gastric cancer and their activity regulates cell proliferation: a novel prognostic and therapeutic target? Proceedings of 6th IGCC, Yokohama, 2005, pp. 151-154.
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Permeabilizing Cell Membranes with Electric Fields
Aguilar, A. A., Ho, M. C., Chang, E., Carlson, K. W., Natarajan, A., Marciano, T., Bomzon, Z., & Patel, C. B. (2021) · Cancers · doi:10.3390/cancers13092283 · Cited by 76 · see citing works
- Authors
- Lastraioli, E., Iorio, J., & Arcangeli, A.
- Affiliations
- University of Florence (IT)
- Corresponding author
- Arcangeli, Annarosa
- Venue
- Biochimica et Biophysica Acta (BBA) - Biomembranes
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 1848
- Issue
- 10
- Pages
- 2685-2702
- ISSN
- 0005-2736 (ISSN-L)
- OpenAlex
- W1980255492
- Cited by
- 187
- References
- 178
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 17 · 2023: 18 · 2022: 23 · 2021: 20 · 2020: 28 · 2019: 23 · 2018: 14 · 2017: 17 · 2016: 5 · 2015: 5 · 2014: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biochimica et Biophysica Acta (BBA) - Biomembranes (publishedVersion)
- PubMed (publishedVersion)
- Florence Research (University of Florence) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion Transport and Channel Regulation
- Health Sciences › Medicine › Physiology › Erythrocyte Function and Pathophysiology
- Keywords
- ion channels, ion transporters, tumor markers, prognostic factors, predictive biomarkers, cancer diagnosis, breast cancer, prostate cancer, lung cancer, colorectal cancer, esophageal cancer, pancreatic cancer, gastric cancer
- MeSH terms
- Female, Humans, Male, Neoplasms, Organ Specificity, Prognosis, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Chloride Channels, Aquaporins, Calcium Channels, T-Type, Organic Anion Transporters, TRPC Cation Channels, Voltage-Dependent Anion Channels, Delayed Rectifier Potassium Channels, Voltage-Gated Sodium Channels
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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.
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