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Thioredoxin 1 as a serum marker for ovarian cancer and its use in combination with CA125 for improving the sensitivity of ovarian cancer diagnoses

Authors: Byung-Joon, Park; Mee-Kyung, Cha; Il-Han, Kim;

Thioredoxin 1 as a serum marker for ovarian cancer and its use in combination with CA125 for improving the sensitivity of ovarian cancer diagnoses

Abstract

The serum levels of Trx1 in patients with ovarian cancer were significantly higher than those in normal persons and patients with non-cancer inflammatory diseases. The level of Trx1 increased with the Figo stage. Ovarian cancer patients who were determined to be negative for CA125, were observed to have serum Trx1 levels as high as those of CA125-positive patients. In addition, patients with non-cancer inflammatory diseases had lower plasma Trx1 1 levels than did controls, showing that Trx1 allows clear distinctions between ovarian cancer and these non-cancer diseases. Combinational analysis of CA125 with Trx1 for the detection of ovarian cancer suggests that the diagnostic capacity of CA125 alone for the early detection of ovarian cancer, especially regarding sensitivity, is significantly improved by its combination with Trx1. Taken together, we conclude that serum Trx1 is useful for the early diagnosis of ovarian cancer.

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Keywords

Adult, Male, Ovarian Neoplasms, Adolescent, Membrane Proteins, Enzyme-Linked Immunosorbent Assay, Middle Aged, Up-Regulation, Young Adult, Thioredoxins, ROC Curve, Predictive Value of Tests, Area Under Curve, CA-125 Antigen, Case-Control Studies, Humans, Female, Early Detection of Cancer, Aged, Neoplasm Staging

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
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