Quantitative evaluation of SPRR3 expression in esophageal squamous cell carcinoma by qPCR and its potential use as a biomarker
Esophageal squamous cell carcinoma (ESCC) is highly fatal due to late diagnosis and inefficient treatment. Early disease detection could improve diagnosis and patient survival. Esophageal squamous epithelial cells express SPRR3, a member of the small proline-rich protein family, which is downregulat...
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Veröffentlicht in: | Experimental and molecular pathology 2011-10, Vol.91 (2), p.584-589 |
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Sprache: | eng |
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Zusammenfassung: | Esophageal squamous cell carcinoma (ESCC) is highly fatal due to late diagnosis and inefficient treatment. Early disease detection could improve diagnosis and patient survival. Esophageal squamous epithelial cells express
SPRR3, a member of the small proline-rich protein family, which is downregulated in ESCC. Therefore,
SPRR3 expression may be used as a biomarker to follow the transition from healthy mucosa to ESCC. Both
SPRR3 mRNA splice variants,
v1 and
v2, were evaluated by real time PCR in tumor and histologically normal adjacent tissue biopsies from 84 ESCC patients and 18 healthy controls.
SPRR3-
v1 was most highly expressed in the esophageal mucosa of healthy subjects, with an increasingly lower expression in the adjacent mucosa of ESCC patients and in tumors, respectively.
SPRR3-
v2 expression was low in normal mucosa and in tumors but it was higher in the adjacent mucosa of ESCC patients. In addition, we found a significant correlation between a lower
SPRR3-v1 and
SPRR3-v2 expression and age and alcohol consumption, respectively. SPRR3 protein expression presented a good correlation with
SPRR3 mRNA expression. Cut-off points to discriminate between healthy mucosa, tumor and adjacent mucosa were determined with receiver operating characteristic (ROC) curves. This analysis showed that
SPRR3-v1 expression discriminates the esophageal mucosa of healthy subjects from the adjacent mucosa and the tumor of ESCC patients with high sensitivity and specificity. Our data shows that the quantitative analysis of
SPRR3 mRNA is a robust and reliable method to monitor the malignant transformation of the healthy esophageal mucosa into ESCC.
► Esophageal cancer is difficult to diagnose so new markers are needed. ► SPRR3 expression by qPCR was used as a cancer biomarker. ► ROC curves determined cut-off points that improve tumor detection. ► SPRR3 expression by qPCR successfully discriminates normal mucosa from tumors. |
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ISSN: | 0014-4800 1096-0945 |
DOI: | 10.1016/j.yexmp.2011.06.006 |