The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rapid Identification of UCA1 as a Very Sensitive and Specific Unique Marker for Human Bladder Carcinoma
Open accessAbstract
Purpose: The most common genitourinary malignancy in China is bladder transitional cell carcinoma (TCC). Early diagnosis of new and recurrent bladder cancers, followed by timely treatment, will help decrease mortality. There are currently no satisfactory markers for bladder cancer available in clinics. Better diagnostic methods are highly demanded. Experimental Design: In this research, we have used comprehensive expressed sequence tag analysis, serial analysis of gene expression, and microarray analysis and quickly discovered a candidate marker, urothelial carcinoma associated 1 (UCA1). The UCA1 gene was characterized and its performance as a urine marker was analyzed by reverse transcription-PCR with urine sediments. A total of 212 individuals were included in this study, 94 having bladder cancers, 33 ureter/pelvic cancers, and 85 normal and other urinary tract disease controls. Results: UCA1 was identified as a novel noncoding RNA gene dramatically up-regulated in TCC and it is the most TCC-specific gene yet identified. The full-length cDNA was 1,439 bp, and sequence analysis showed that it belonged to the human endogenous retrovirus H family. Clinical tests showed that UCA1 assay was highly specific (91.8%, 78 of 85) and very sensitive (80.9%, 76 of 94) in the diagnosis of bladder cancer and was especially valuable for superficial G2-G3 patients (sensitivity 91.1%, 41 of 45). It showed excellent differential diagnostic performance in various urinary tract diseases without TCC. Conclusions: UCA1 is a very sensitive and specific unique marker for bladder cancer. It could have important implications in postoperative noninvasive follow-up. This research also highlights a shortcut to new cancer diagnostic assays through integration of in silico isolation methods with translational clinical tests based on RNA detection protocols.
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
Galli, U. M., Sauter, M., Lecher, B., Maurer, S., Herbst, H., Roemer, K., & Mueller-Lantzsch, N. (2005) · Oncogene · doi:10.1038/sj.onc.1208543 · Cited by 120
Cited by
The role of non-coding RNAs in oncology
Slack, F. J., & Chinnaiyan, A. M. (2019) · Cell · doi:10.1016/j.cell.2019.10.017 · Cited by 1,619
The functional role of long non-coding RNA in human carcinomas
Gibb, E. A., Brown, C. J., & Lam, W. L. (2011) · Molecular Cancer · doi:10.1186/1476-4598-10-38 · Cited by 1,619
Long non-coding RNAs: A new frontier in the study of human diseases
Shi, X., Sun, M., Liu, H., Yao, Y., & Song, Y. (2013) · Cancer Letters · doi:10.1016/j.canlet.2013.06.013 · Cited by 1,150
LncRNA: A link between RNA and cancer
Yang, G., Lu, X., & Yuan, L. (2014) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.08.012 · Cited by 991
Long Noncoding RNA in Prostate, Bladder, and Kidney Cancer
Martens-Uzunova, E. S., Böttcher, R., Croce, C. M., Jenster, G., Visakorpi, T., & Calin, G. A. (2014) · European Urology · doi:10.1016/j.eururo.2013.12.003 · Cited by 655
Metadata
- Authors
- Wang, X.-S., Zhang, Z., Wang, H.-C., Cai, J.-L., Xu, Q.-W., Li, M.-Q., Chen, Y.-C., Qian, X.-P., Lu, T.-J., Yu, L.-Z., Zhang, Y., Xin, D.-Q., Na, Y.-Q., & Chen, W.-F.
- Venue
- Clinical Cancer Research
- Published
- 2006-08-15
- Volume
- 12
- Issue
- 16
- Pages
- 4851-4858
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2137226828
- Cited by
- 480
- References
- 1
- FWCI
- 4.05
- Type
- journal article
- Language
- en
- Open access
- green
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: Rapid Identification of UCA1 as a Very Sensitive and Specific Unique Marker for Human Bladder Carcinoma. https://app.cochat.ai/papers/10.1158/1078-0432.ccr-06-0134
- The paper
- Wang, X.-S., Zhang, Z., Wang, H.-C., Cai, J.-L., Xu, Q.-W., Li, M.-Q., Chen, Y.-C., Qian, X.-P., Lu, T.-J., Yu, L.-Z., Zhang, Y., Xin, D.-Q., Na, Y.-Q., & Chen, W.-F. (2006). Rapid Identification of UCA1 as a Very Sensitive and Specific Unique Marker for Human Bladder Carcinoma. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-06-0134
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.