The DOI matches its Crossref record.
GATA3: A Multispecific But Potentially Useful Marker in Surgical Pathology A Systematic Analysis of 2500 Epithelial and Nonepithelial Tumors
Open accessAbstract
GATA3 is a transcription factor important in the differentiation of breast epithelia, urothelia, and subsets of T lymphocytes. It has been suggested to be useful in the evaluation of carcinomas of mammary or urothelial origin or metastatic carcinomas, but its distribution in normal and neoplastic tissues is incompletely mapped. In this study, we examined normal developing and adult tissues and 2040 epithelial and 460 mesenchymal or neuroectodermal neoplasms for GATA3 expression to explore its diagnostic value in surgical pathology, using monoclonal antibody (clone L50-823) and Leica Bond automated immunohistochemistry. GATA3 was expressed in trophoblast, fetal and adult epidermis, adult mammary and some salivary gland and sweat gland ductal epithelia, urothelia, distal nephron in developing and adult tissues, some prostatic basal cells, and subsets of T lymphocytes. It was expressed stronger in fetal than in adult mesothelia and was absent in respiratory and gastrointestinal epithelia. In epithelial neoplasms, GATA3 was expressed in >90% of primary and metastatic ductal and lobular carcinomas of the breast, urothelial, and cutaneous basal cell carcinomas and trophoblastic and endodermal sinus tumors. In metastatic breast carcinomas, it was more sensitive than GCDFP. Among squamous cell carcinomas, the expression was highest in the skin (81%) and lower in cervical (33%), laryngeal (16%), and pulmonary tumors (12%). Common positivity was found in skin adnexal tumors (100%), mesothelioma (58%), salivary gland (43%), and pancreatic (37%) ductal carcinomas, whereas frequency of expression in adenocarcinomas of lung, stomach, colon, endometrium, ovary, and prostate was <10%. Chromophobe renal cell carcinoma was a unique renal tumor with frequent positivity (51%), whereas oncocytomas were positive in 17% of cases but other types only rarely. Among mesenchymal and neuroectodermal tumors, paragangliomas were usually positive, which sets these tumors apart from epithelial neuroendocrine tumors. Mesenchymal tumors were only sporadically positive, except epithelia of biphasic synovial sarcomas. GATA3 is a useful marker in the characterization of not only mammary and urothelial but also renal and germ cell tumors, mesotheliomas, and paragangliomas. The multiple specificities of GATA3 should be taken into account when using this marker to detect metastatic mammary or urothelial carcinomas.
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
No references could be resolved yet.
Research works printed but not linked: 7
- Chou, 2010, GATA3 in development and cancer differentiation: cells GATA have it!, J Cell Physiol, 222, 42, 10.1002/jcp.21943 · DOI · Paper page
- Zheng, 2010, GATA transcription factors and cancer., Genes Cancer, 1, 1178, 10.1177/1947601911404223 · DOI · Paper page
- Yagi, 2011, An updated view on transcription factor GATA3-mediated regulation of Th1 and Th2 cell differentiation., Int Immunol, 23, 415, 10.1093/intimm/dxr029 · DOI · Paper page
- Sellheyer, 2010, Expression pattern of GATA-3 in embryonic and fetal human skin suggests a role in epidermal and follicular morphogenesis., J Cutan Pathol, 37, 357, 10.1111/j.1600-0560.2009.01416.x · DOI
- Van Esch, 2001, Transcription factor GATA3 and the human HDR syndrome., Cell Mol Life Sci, 58, 1296, 10.1007/PL00000940 · DOI
- Miettinen, 2012, A simple method for generating multitissue blocks without special equipment., Appl Immunohistochem Mol Morphol, 20, 410, 10.1097/PAI.0b013e318245c82f · doi:10.1097/pai.0b013e318245c82f
- Eble, 1984, Morphologic features of renal oncocytoma: a light and electron microscopic study., Hum Pathol, 15, 1054, 10.1016/S0046-8177(84)80249-X · DOI
Cited by
Best Practices Recommendations for Diagnostic Immunohistochemistry in Lung Cancer
Yatabe, Y., Dacic, S., Borczuk, A. C., Warth, A., Russell, P. A., Lantuejoul, S., Beasley, M. B., Thunnissen, E., Pelosi, G., Rekhtman, N., et al. (2019) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2018.12.005 · Cited by 365
Amin, M. B., Epstein, J. I., Ulbright, T. M., Humphrey, P. A., Egevad, L., Montironi, R., Grignon, D., Trpkov, K., Lopez-Beltran, A., Zhou, M., et al. (2014) · American Journal of Surgical Pathology · doi:10.1097/pas.0000000000000254 · Cited by 314
Enhancing the prediction of disease-gene associations with multimodal deep learning
Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz155 · Cited by 67
Merkel cell carcinoma: an updated review focused on bone and bone marrow metastases
Scotti, B., Broseghini, E., Ricci, C., Corti, B., Viola, C., Misciali, C., Baraldi, C., Vaccari, S., Lambertini, M., Venturi, F., et al. (2025) · Cancers · doi:10.3390/cancers17132253 · Cited by 9
Metadata
- Authors
- Miettinen, M., McCue, P. A., Sarlomo-Rikala, M., Rys, J., Czapiewski, P., Wazny, K., Langfort, R., Waloszczyk, P., Biernat, W., Lasota, J., & Wang, Z.
- Venue
- American Journal of Surgical Pathology
- Published
- 2014-01
- Volume
- 38
- Issue
- 1
- Pages
- 13-22
- ISSN
- 0147-5185 (ISSN-L)
- OpenAlex
- W1530437552
- Cited by
- 695
- References
- 0
- FWCI
- 28.50
- 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: GATA3: A Multispecific But Potentially Useful Marker in Surgical Pathology A Systematic Analysis of 2500 Epithelial and Nonepithelial Tumors. https://app.cochat.ai/papers/10.1097/pas.0b013e3182a0218f
- The paper
- Miettinen, M., McCue, P. A., Sarlomo-Rikala, M., Rys, J., Czapiewski, P., Wazny, K., Langfort, R., Waloszczyk, P., Biernat, W., Lasota, J., & Wang, Z. (2014). GATA3: A Multispecific But Potentially Useful Marker in Surgical Pathology A Systematic Analysis of 2500 Epithelial and Nonepithelial Tumors. American Journal of Surgical Pathology. https://doi.org/10.1097/pas.0b013e3182a0218f
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.