Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma

被引:6
作者
Gil-Rojas, Sergio [1 ,2 ,3 ]
Suarez, Miguel [1 ,2 ,3 ]
Martinez-Blanco, Pablo [1 ,2 ,3 ]
Torres, Ana M. [2 ,3 ]
Martinez-Garcia, Natalia [4 ]
Blasco, Pilar [5 ]
Torralba, Miguel [4 ,6 ,7 ]
Mateo, Jorge [2 ,3 ]
机构
[1] Virgen Luz Hosp, Gastroenterol Dept, Cuenca 16002, Spain
[2] Univ Castilla La Mancha, Inst Technol, Med Anal Expert Grp, Cuenca 16071, Spain
[3] Inst Invest Sanitaria Castilla La Mancha IDISCAM, Med Anal Expert Grp, Toledo 45071, Spain
[4] Univ Hosp Guadalajara, Internal Med Unit, Guadalajara 19002, Spain
[5] Gen Univ Hosp, Dept Pharm, Valencia 46014, Spain
[6] Univ Alcala Henares, Fac Med, Alcala De Henares 28801, Spain
[7] Inst Invest Sanitaria Castilla La Mancha IDISCAM, Translat Res Grp Cellular Immunol GIT, Toledo 45071, Spain
关键词
hepatocellular carcinoma; liver cirrhosis; alpha-fetoprotein; machine learning; mortality; prognosis; MANAGEMENT; BIOMARKER;
D O I
10.3390/ijms25041996
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Hepatocellular carcinoma (HCC) is the most common primary liver tumor and is associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate screening programs in high-risk groups are essential for early-stage detection. The extent of extrahepatic tumor spread and hepatic functional reserve are recognized as two of the most influential prognostic factors. In this retrospective multicenter study, we utilized machine learning (ML) methods to analyze predictors of mortality at the time of diagnosis in a total of 208 patients. The eXtreme gradient boosting (XGB) method achieved the highest values in identifying key prognostic factors for HCC at diagnosis. The etiology of HCC was found to be the variable most strongly associated with a poorer prognosis. The widely used Barcelona Clinic Liver Cancer (BCLC) classification in our setting demonstrated superiority over the TNM classification. Although alpha-fetoprotein (AFP) remains the most commonly used biological marker, elevated levels did not correlate with reduced survival. Our findings suggest the need to explore new prognostic biomarkers for individualized management of these patients.
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页数:15
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