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Cited by 28Endometrial and Cervical Cancer TreatmentsAngiogenesis and VEGF in CancerTGF-β signaling in diseases

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

High Immunohistochemical Expression of TGF-β1 Predicts a Poor Prognosis in Cervical Cancer Patients who Harbor Enriched Endoglin Microvessel Density

Abstract

Endoglin, a coreceptor for transforming growth factor β1 (TGF-β1) in vascular endothelial cells, is highly upregulated in tumor vessels and therefore is a specific biomarker for angiogenesis. Some studies have suggested that assessment of tumor angiogenesis may predict cancer response to chemotherapy and radiotherapy. In this study, we attempted to analyze the immunohistochemical expression of endoglin and TGF-β1 from 80 patients with different International Federation of Gynecology and Obstetrics (FIGO) stages of cervical cancer before they received concurrent chemoradiation and to investigate their prognostic significance. The median follow-up period was 86 months (range, 2-144 months). Endoglin staining was assessed by microvessel density (MVD), whereas TGF-β1 expression was semiquantified as negative, weakly, or strongly staining. A receiver operating characteristic curve was established for endoglin MVD in predicting survival; the optimal cutoff value was 11.125. With a Cox regression analysis, we found that an advanced FIGO stage (hazard ratio 4.66; 95% confidence interval 2.10-10.32, P<0.001) and endoglin MVD more than 11.125 (hazard ratio 12.21; 95% confidence interval 3.62-41.16, P=<0.001) were independent factors to predict survival. Interestingly, a strong TGF-β1 expression was significantly associated with poor survival only when the endoglin MVD value was higher than 10. Our study shows that evaluation of endoglin MVD by immunochemistry can be used as an independent prognostic marker for cervical cancer patients receiving concurrent chemoradiation. TGF-β1 also had an impact on survival only when endoglin MVD was enriched, suggesting its involvement in tumor progression in the later stage of angiogenesis.

Overview

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Crossref · 10.1097/pgp.0b013e31824c23a4

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Citations

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Research works printed but not linked: 3

  1. Rossmanith, 2001, Microsc Res Tech, 52, 430, 10.1002/1097-0029(20010215)52:4<430::AID-JEMT1028>3.0.CO;2-3 · DOI
  2. Weller, 2001, Microsc Res Tech, 52, 353, 10.1002/1097-0029(20010215)52:4<353::AID-JEMT1019>3.0.CO;2-U · DOI
  3. Brewer, 2000, Obstet Gynecol, 96, 224

Cited by

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Metadata

Authors
Lin, H., Huang, C.-C., Ou, Y.-C., Huang, E.-Y., ChangChien, C.-C., Tseng, C.-W., Fu, H.-C., Wu, C.-H., Li, C.-J., & Ma, Y.-Y.
Affiliations
Chang Gung University (TW)
Corresponding author
Ma, Yen-Ying
Venue
International Journal of Gynecological Pathology
Published
2012-09
Volume
31
Issue
5
Pages
482-489
ISSN
0277-1691 (ISSN-L)
OpenAlex
W2016020717
Cited by
28
References
23
Citations by year
2025: 2 · 2024: 4 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 1 · 2017: 4 · 2016: 3 · 2015: 4 · 2014: 3 · 2013: 1
FWCI
3.07
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Gynecological Pathology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
Keywords
cervical cancer, CD105, TGF-β1, tumor angiogenesis, microvessel density, prognostic factors, survival prediction, FIGO stage, concurrent chemoradiotherapy, tumor progression
MeSH terms
Endoglin, Adult, Aged, Uterine Cervical Neoplasms, Female, Humans, Immunohistochemistry, Middle Aged, Prognosis, Receptors, Cell Surface, Antigens, CD, Multivariate Analysis, Platelet Endothelial Cell Adhesion Molecule-1, Transforming Growth Factor beta1

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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.