The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Human Kidney Injury Molecule-1 Is a Tissue and Urinary Tumor Marker of Renal Cell Carcinoma
Open accessAbstract
Human kidney injury molecule-1 (hKIM-1) is a type 1 transmembrane protein that is not detectable in normal kidney tissue but is expressed at high levels in human and rodent kidneys with dedifferentiated proximal tubule epithelial cells after ischemic or toxic injury. Therefore, it was hypothesized that renal tumors express hKIM-1 and release this protein into the urine. Forty renal cell carcinoma (RCC) and 484 nonrenal tumors were analyzed by immunohistochemistry for expression of hKIM-1 (group 1). Urine samples before nephrectomy and nephrectomy tissue samples were collected from an additional 42 patients with renal tumors, from 30 normal control subjects, and also from 10 patients with prostate carcinoma (group 2). In five additional patients with RCC, urine was collected before and after nephrectomy (group 3). Tissue was examined for expression of hKIM-1, and cell-free urine supernatants were analyzed for hKIM-1 by ELISA. Urinary hKIM-1 was normalized to the urinary creatinine concentration (U(Cr)). Expression of hKIM-1 was present in 32 tissue sections (91%) of 35 clear cell RCC (group 1). In group 2, the normalized urinary hKIM-1 levels were significantly higher in patients with clear cell RCC (0.39 +/- 0.08 ng/mg U(Cr); n = 21), compared with levels in patients with prostate carcinoma (0.12 +/- 0.03 ng/mg U(Cr); P < 0.02; n = 10), or normal control subjects (0.05 +/- 0.01 ng/mg U(Cr); P < 0.005; n = 30). Tissue sections from 28 (82%) of 34 primary RCC stained positively for the expression of hKIM-1. In all patients with a detectable prenephrectomy urinary hKIM-1 level, there was either complete disappearance or marked reduction after nephrectomy (group 3). In conclusion, the cleaved ectodomain of hKIM-1 can be detected in the urine of patients with RCC and may serve as a new biomarker for early detection of RCC.
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
The TIM gene family: emerging roles in immunity and disease
Kuchroo, V. K., Umetsu, D. T., DeKruyff, R. H., & Freeman, G. J. (2003) · Nature Reviews Immunology · doi:10.1038/nri1111 · Cited by 388
Cited by
Urinary biomarkers in the early diagnosis of acute kidney injury
Han, W. K., Waikar, S. S., Johnson, A., Betensky, R. A., Dent, C. L., Devarajan, P., & Bonventre, J. V. (2008) · Kidney International · doi:10.1038/sj.ki.5002715 · Cited by 585
Self-citationTubular kidney injury molecule‐1 (KIM‐1) in human renal disease
van Timmeren, M., van den Heuvel, M., Bailly, V, Bakker, S., van Goor, H., & Stegeman, C. (2007) · The Journal of Pathology · doi:10.1002/path.2175 · Cited by 481
Mori, Y., Ajay, A. K., Chang, J.-H., Mou, S., Zhao, H., Kishi, S., Li, J., Brooks, C. R., Xiao, S., Woo, H.-M., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.04.004 · Cited by 293
Self-citationA highly conserved tyrosine of Tim‐3 is phosphorylated upon stimulation by its ligand galectin‐9
van de Weyer, P. S., Muehlfeit, M., Klose, C., Bonventre, J. V., Walz, G., & Kuehn, E. W. (2006) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2006.10.079 · Cited by 198
Self-citationHaque, M. E., Khan, F., Chi, L., Gurung, S., Vadevoo, S. M. P., Park, R.-W., Kim, D.-K., Kim, S. K., & Lee, B. (2019) · Cancer Research and Treatment · doi:10.4143/crt.2018.214 · Cited by 18
Metadata
- Authors
- Han, W. K., Alinani, A., Wu, C.-L., Michaelson, D., Loda, M., McGovern, F. J., Thadhani, R., & Bonventre, J. V.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2005-04
- Volume
- 16
- Issue
- 4
- Pages
- 1126-1134
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2159436931
- Cited by
- 200
- References
- 1
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Human Kidney Injury Molecule-1 Is a Tissue and Urinary Tumor Marker of Renal Cell Carcinoma. https://app.cochat.ai/papers/10.1681/asn.2004070530
- The paper
- Han, W. K., Alinani, A., Wu, C.-L., Michaelson, D., Loda, M., McGovern, F. J., Thadhani, R., & Bonventre, J. V. (2005). Human Kidney Injury Molecule-1 Is a Tissue and Urinary Tumor Marker of Renal Cell Carcinoma. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2004070530
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.