The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
PGP9.5 As a Candidate Tumor Marker for Non-Small-Cell Lung Cancer
Open accessAbstract
PGP9.5 is a neurospecific peptide that functions to remove ubiquitin from ubiquitinated proteins and prevents them from targeted degradation by proteasomes. Using the serial analysis of gene expression method (SAGE), we observed that the PGP9.5 transcript was highly expressed in primary lung cancers and lung cancer cell lines but was not detectable in the normal lung. Here we examined the expression of PGP9.5 protein in normal lung epithelium, lung tumor cell lines, and 98 resected primary non-small-cell lung carcinomas (NSCLCs). We found PGP9.5 reactivity in normal lung in a pattern compatible with K-cells of the diffuse neuroendocrine system. However, the PGP9.5 was present in both small-cell lung cancer (SCLC) and NSCLC cell lines (22/24) independent of neuronal differentiation. In primary NSCLCs, 54% (53/98) of the cases had positive PGP9.5 staining, and the expression of protein was strongly associated with pathological stage of the cancer. It was present in 44% (29/66) of stage I NSCLCs and in 75% (24/32) of stage II and IIIA NSCLCs (p = 0.0032). These results suggest that the increased expression of PGP9.5 is specifically associated with lung cancer development and may serve as a potential marker for the detection of lung cancer.
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
Diehl, J. A., Zindy, F., & Sherr, C. J. (1997) · Genes & Development · doi:10.1101/gad.11.8.957 · Cited by 746
Cited by
Deubiquitylating enzymes and drug discovery: emerging opportunities
Harrigan, J. A., Jacq, X., Martin, N. M., & Jackson, S. P. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.152 · Cited by 940
Deubiquitylases From Genes to Organism
Clague, M. J., Barsukov, I., Coulson, J. M., Liu, H., Rigden, D. J., & Urbé, S. (2013) · Physiological Reviews · doi:10.1152/physrev.00002.2013 · Cited by 425
UCHL1 provides diagnostic and antimetastatic strategies due to its deubiquitinating effect on HIF-1α
Goto, Y., Zeng, L., Yeom, C. J., Zhu, Y., Morinibu, A., Shinomiya, K., Kobayashi, M., Hirota, K., Itasaka, S., Yoshimura, M., et al. (2015) · Nature Communications · doi:10.1038/ncomms7153 · Cited by 229
Metadata
- Authors
- Hibi, K., Westra, W. H., Borges, M., Goodman, S., Sidransky, D., & Jen, J.
- Venue
- The American Journal of Pathology
- Publisher
- Elsevier BV
- Published
- 1999-09
- Volume
- 155
- Issue
- 3
- Pages
- 711-715
- ISSN
- 0002-9440 (ISSN-L)
- OpenAlex
- W2030616951
- Cited by
- 171
- References
- 1
- FWCI
- 3.09
- 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: PGP9.5 As a Candidate Tumor Marker for Non-Small-Cell Lung Cancer. https://app.cochat.ai/papers/10.1016/s0002-9440(10)65169-3
- The paper
- Hibi, K., Westra, W. H., Borges, M., Goodman, S., Sidransky, D., & Jen, J. (1999). PGP9.5 As a Candidate Tumor Marker for Non-Small-Cell Lung Cancer. The American Journal of Pathology. https://doi.org/10.1016/s0002-9440(10)65169-3
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.