Abundance of mitochondrial superoxide dismutase is a negative predictive biomarker for endometriosis-associated ovarian cancers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Tsukuru Amano, Tokuhiro Chano, Takahiro Isono, Fuminori Kimura, Ryoji Kushima, Takashi Murakami

ABSTRACT

BACKGROUND: Endometrioid ovarian carcinoma and clear cell ovarian carcinoma are both classified as endometriosis-associated ovarian cancers (EAOCs). Despite the high rates of recurrence and mortality of EAOC, only a few prognostic biomarkers have been reported. Mitochondrial superoxide dismutase (SOD2) plays an important role in maintaining mitochondrial function through oxidative stress tolerance and contributes to chemotherapeutic resistance. METHODS: To clarify the clinical significance of SOD2 in EAOC, SOD2 expression was semi-quantitatively investigated by immunohistochemical analysis in 61 primary EAOC cases, and the correlations between SOD2 expression and clinicopathological data and survival were analyzed. RESULTS: Forty-six (75%) cases expressed high levels of SOD2. High SOD2 expression was associated with a poor prognosis on both univariate and multivariate analyses after adjusting for variables such as age, International Federation of Gynecology and Obstetrics (FIGO) stage, blood markers, histological type, and completion of treatment. There were 14 fatalities from 15 recurrences among 46 cases with high SOD2 expression. In contrast, only one recurrence and no fatalities were seen among 15 cases with low SOD2 expression. CONCLUSION: Increased SOD2 expression is a predictive biomarker for worse prognosis in EAOC. The therapeutic efficacy of the current standard therapeutic protocol for EAOC is limited; thus, mitochondrial SOD2 should be a therapeutic target for SOD2-abundant EAOC. More... »

PAGES

24

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12957-019-1565-0

DOI

http://dx.doi.org/10.1186/s12957-019-1565-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111779912

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30700285


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