Abstract

Background

The expression of high temperature requirement factor A1 (Htra1) has been reported to be decreased in ovarian carcinoma, but its prognostic effect remains undetermined.

Methods

We evaluated the impact of HtrA1 downregulation in tumoral tissues on cancer progression and death in women with serous ovarian carcinoma. HtrA1 staining was performed on tissue microarrays (TMA) comprised of tumor samples from a cohort of 106 women who were diagnosed with primary high-grade serous ovarian carcinoma and receiving standard treatment at the Québec University Hospital between 1993 and 2006. HtrA1 expression was assessed visually (percentage of positive nuclei) and by digital image analysis (percentage of positive area). Cox regression multivariate models included standard prognostic factors and were used to estimate adjusted hazard ratios (aHR) for progression or death in the cohort.

Results

By visual analysis, a low percentage of HtrA1-positive nuclei (< 10% vs ≥10%) tend to be associated with a lower risk of progression (aHR = 0.71; 95% Confidence interval (CI) = 0.46–1.09; P = 0.11) and mortality (aHR = 0.65; 95% CI = 0.41–1.04; P = 0.07). Low nuclear HtrA1 expression assessed by digital image analysis (< median % vs ≥ median %) showed a significant association with lower risk of progression (aHR = 0.62; 95% CI = 0.40–0.95; p = 0.03) and death (aHR = 0.60; 95% CI = 0.38–0.95; p = 0.03).

Conclusion

Altogether, our results demonstrate that nuclear downregulation of HtrA1 is associated with a better prognosis in women with high grade serous ovarian carcinoma.

Details

Title
HtrA1 expression and the prognosis of high-grade serous ovarian carcinoma: a cohort study using digital analysis
Author
Gagné, Andréanne; Têtu, Bernard; Orain, Michèle; Turcotte, Stéphane; Plante, Marie; Grégoire, Jean; Renaud, Marie-Claude; Bairati, Isabelle; Trudel, Dominique
Publication year
2018
Publication date
2018
Publisher
BioMed Central
e-ISSN
1746-1596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2108821934
Copyright
Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.