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Cited by 1,009

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

T and Tn, General Carcinoma Autoantigens

Springer, Georg F.·1984·Science

Abstract

Primary and metastatic carcinomas are epithelial in origin and comprise by far the largest group of malignant tumors in humans. In most of these tumors, T and Tn antigens, whose epitopes have been synthesized, are uncovered and immunoreactive. In all other tissues T and Tn antigens are masked and not accessible to the immune system; they are generally precursors in normal complex carbohydrate chains. Thus, carcinomas have antigens recognized as foreign by the patients' immune system. The expression of T and Tn antigens has pathogenic and clinical consequences, and the antigens themselves are powerful histological markers in carcinoma diagnosis and frequently in prognosis. Most patients distinguish their carcinoma from all other cells, as shown by strong autoimmune responses to T antigen. These responses are readily measured by assays, and they allow detection of carcinomas with greater sensitivity and specificity frequently earlier than previously possible. Moreover, the extent of T and Tn expression often correlates with carcinoma differentiation; on a molecular level, clustered T- and Tn-active structures on carcinoma cell surfaces may be involved in invasion.

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Metadata

Authors
Springer, G. F.
Venue
Science
Published
1984-06-15
Volume
224
Issue
4654
Pages
1198-1206
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1995611890
Cited by
1,009
References
1
FWCI
3.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: T and Tn, General Carcinoma Autoantigens. https://app.cochat.ai/papers/10.1126/science.6729450
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Springer, G. F. (1984). T and Tn, General Carcinoma Autoantigens. Science. https://doi.org/10.1126/science.6729450

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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.