The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Lateral flow assays towards point-of-care cancer detection: A review of current progress and future trends
Abstract
Abstract Cancer is one of the main causes of mortality and morbidity worldwide. However, its early non-invasive detection via quantification of appropriate biomarkers can significantly reduce mortality, enhance survival, and save treatment costs. Lateral flow test strips (LFTS) are nowadays considered as the most attractive point-of-care devices for healthcare applications. However, the quantification of cancer biomarkers in body fluids suffers from some challenges including i) the necessity for multiplex analysis, ii) the development of sensitive detection systems, iii) to overcome the analysis of complex samples, at the same time, it should keep the quality assurance criteria for an accurate and proper diagnostic. This review provides an overview of recent advances, the current challenges and available solutions in cancer biomarkers detection via LFTS focusing on the sensitivity enhancement by various detection systems. Then, the available LFTS kits in the market are presented and future trends in this area are foreseen.
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
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
MicroRNAs in cancer: biomarkers, functions and therapy
Hayes, J., Peruzzi, P. P., & Lawler, S. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.06.005 · Cited by 2,049
Current detection technologies for circulating tumor cells
Shen, Z., Wu, A., & Chen, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00803h · Cited by 433
Cited by
Diagnosing COVID-19: The Disease and Tools for Detection
Udugama, B., Kadhiresan, P., Kozlowski, H. N., Malekjahani, A., Osborne, M., Li, V. Y. C., Chen, H., Mubareka, S., Gubbay, J. B., & Chan, W. C. W. (2020) · ACS Nano · doi:10.1021/acsnano.0c02624 · Cited by 1,754
Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis
Liu, Y., Zhan, L., Qin, Z., Sackrison, J., & Bischof, J. C. (2021) · ACS Nano · doi:10.1021/acsnano.0c10035 · Cited by 626
Point-of-care diagnostics for infectious diseases: From methods to devices
Wang, C., Liu, M., Wang, Z., Li, S., Deng, Y., & He, N. (2021) · Nano Today · doi:10.1016/j.nantod.2021.101092 · Cited by 622
From Diagnosis to Treatment: Recent Advances in Patient-Friendly Biosensors and Implantable Devices
Li, P., Lee, G.-H., Kim, S. Y., Kwon, S. Y., Kim, H.-R., & Park, S. (2021) · ACS Nano · doi:10.1021/acsnano.0c06688 · Cited by 359
Metadata
- Authors
- Mahmoudi, T., de la Guardia, M., & Baradaran, B.
- Venue
- TrAC Trends in Analytical Chemistry
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 125
- Pages
- 115842
- ISSN
- 0165-9936 (ISSN-L)
- OpenAlex
- W3006481147
- Cited by
- 217
- References
- 3
- FWCI
- 10.32
- Type
- journal article
- Language
- en
- Open access
- closed
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: Lateral flow assays towards point-of-care cancer detection: A review of current progress and future trends. https://app.cochat.ai/papers/10.1016/j.trac.2020.115842
- The paper
- Mahmoudi, T., de la Guardia, M., & Baradaran, B. (2020). Lateral flow assays towards point-of-care cancer detection: A review of current progress and future trends. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2020.115842
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.
