The DOI matches its Crossref record.
Extensive Survey of STAT6 Expression in a Large Series of Mesenchymal Tumors
Open accessAbstract
OBJECTIVES: Expression of strong nuclear STAT6 is thought to be a specific marker for solitary fibrous tumors (SFTs). Little is known about subtle expression patterns in other mesenchymal lesions. METHODS: We performed immunohistochemical studies against the C-terminus of STAT6 in tissue microarrays and whole sections, comprising 2366 mesenchymal lesions. RESULTS: Strong nuclear STAT6 was expressed in 285 of 2,021 tumors, including 206 of 240 SFTs, 49 of 408 well-differentiated/dedifferentiated liposarcomas, eight of 65 unclassified sarcomas, and 14 of 184 desmoid tumors, among others. Expression in SFTs was predominately limited to the nucleus. Other positive tumors typically expressed both nuclear and cytoplasmic STAT6. Complete absence of STAT6 was most common in pleomorphic liposarcoma and alveolar soft part sarcoma (60% and 72% cases negative, respectively). CONCLUSIONS: Strong nuclear STAT6 is largely specific for SFTs. Physiologic low-level cytoplasmic/nuclear expression is common in mesenchymal neoplasia and is of uncertain significance.
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
Cited by
Risk assessment in solitary fibrous tumors: validation and refinement of a risk stratification model
Demicco, E. G., Wagner, M. J., Maki, R. G., Gupta, V., Iofin, I., Lazar, A. J., & Wang, W.-L. (2017) · Modern Pathology · doi:10.1038/modpathol.2017.54 · Cited by 466
Self-citation
Metadata
- Authors
- Demicco, E. G., Harms, P. W., Patel, R. M., Smith, S. C., Ingram, D., Torres, K., Carskadon, S. L., Camelo-Piragua, S., McHugh, J. B., Siddiqui, J., Palanisamy, N., Lucas, D. R., Lazar, A. J., & Wang, W.-L.
- Venue
- American Journal of Clinical Pathology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-01
- Volume
- 143
- Issue
- 5
- Pages
- 672-682
- ISSN
- 0002-9173 (ISSN-L)
- 1943-7722
- OpenAlex
- W1991963614
- Cited by
- 207
- References
- 0
- FWCI
- 15.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Extensive Survey of STAT6 Expression in a Large Series of Mesenchymal Tumors. https://app.cochat.ai/papers/10.1309/ajcpn25njtounpnf
- The paper
- Demicco, E. G., Harms, P. W., Patel, R. M., Smith, S. C., Ingram, D., Torres, K., Carskadon, S. L., Camelo-Piragua, S., McHugh, J. B., Siddiqui, J., Palanisamy, N., Lucas, D. R., Lazar, A. J., & Wang, W.-L. (2015). Extensive Survey of STAT6 Expression in a Large Series of Mesenchymal Tumors. American Journal of Clinical Pathology. https://doi.org/10.1309/ajcpn25njtounpnf
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.