2021
DOI: 10.1186/s12876-021-01761-1
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Plasma interleukin-17 and alpha-fetoprotein combination effectively predicts imminent hepatocellular carcinoma occurrence in liver cirrhotic patients

Abstract: Background Predicting imminent hepatocellular carcinoma (HCC) in liver cirrhotic patients is an unmet medical need. We aimed to investigate circulatory biomarkers and their optimum combinations in a prospective study. Methods We investigated plasma interleukin 17 (IL-17) concentrations, quantified using enzyme-linked immunosorbent assay (ELISA), for the prediction of HCC in a large cohort of 404 HCC-naïve liver cirrhotic patients regularly followe… Show more

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Cited by 14 publications
(10 citation statements)
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“…The results of current study showed that there were significant correlations between the level of IgE and transaminases (ALT, AST) and between IgE and AFP in both study groups (group I and group II), which agreed with some previous studies 23,34 . However, these were in contradictory to findings of other studies 25,33 , who reported negative association between IgE and transaminases.…”
Section: Discussionsupporting
confidence: 93%
“…The results of current study showed that there were significant correlations between the level of IgE and transaminases (ALT, AST) and between IgE and AFP in both study groups (group I and group II), which agreed with some previous studies 23,34 . However, these were in contradictory to findings of other studies 25,33 , who reported negative association between IgE and transaminases.…”
Section: Discussionsupporting
confidence: 93%
“…Circulating blood IL-17 concentration is also considered to be a predictive factor of hepatocellular carcinoma (HCC) in patients with liver cirrhosis. The combination of alpha-fetoprotein (AFP) and IL-17 has a high sensitivity for predicting HCC within 1 year (13). In the NASH-HCC model, the inflammatory factor FGF21 can inhibit liver cells-TLR4-IL-17-A signaling pathway to prevent the conversion of NASH to HCC (14).…”
Section: Introductionmentioning
confidence: 99%
“…Gene signature risk models were derived using the generalized iterative modeling approach, a type of machine learning approach which performs empirical maximization with respect to either the log likelihood in the proportional hazards model [ 30 ] or the area under the receiver operating characteristic curve in classification analysis [ 31 ]. In this study, we selected to maximize the log likelihood in the time-to-MIBC survival analysis.…”
Section: Methodsmentioning
confidence: 99%