Evaluation of prothrombin induced by vitamin K absence, macrophage migration inhibitory factor and Golgi protein-73 versus alpha fetoprotein for hepatocellular carcinoma diagnosis and surveillance

Hepatocellular carcinoma (HCC) represents a challenging malignancy of worldwide importance. It is the third most common cause of cancer-related death globally as most patients present with unresectable disease. Alpha-fetoprotein (AFP) is the widely and solely used biomarker for HCC diagnosis; yet, its usefulness is hampered by low sensitivity and specificity. We aimed to identify more sensitive biomarkers for HCC diagnosis and a surveillance algorithm that may facilitate early detection of HCC. A total of 305 Egyptian and Saudi participants grouped as healthy controls, cancer controls, benign hepatic lesions, chronic viral hepatitis and HCC were included. Serum AFP, prothrombin induced by vitamin K absence-II (PIVKA-II), macrophage migration inhibitory factor (MIF) and Golgi protein-73 (GP-73) levels were quantitated by enzyme immunoassay. Significantly higher levels of GP-73 and PIVKA-II were detected in the HCC group than in all other groups, while MIF showed a highly significant increase in HCC from all groups except the cancer control group. The HCC group showed no significant difference between the studied biomarkers and the type of chronic viral hepatitis. On the basis of multiple ROC curve analyses, GP-73 and PIVKA-II showed the highest sensitivity and specificity for surveillance and diagnosis. In conclusion, PIVKA-II and GP-73 offer an effective approach for early HCC diagnosis and surveillance of high-risk groups with a higher accuracy than AFP. MIF may serve as a promising screening tumor marker for the detection of gastrointestinal tract (GIT) malignancy.

Absolute Monocyte Count is Superior than Absolute Lymphocyte Count at Day 28 as an Independent Prognostic Factor in Acute Myeloid Leukemia

Leukemia is one of leading causes of death despite the significant improvement of survival. This study aimed at assessing the impact of absolute monocytic count (AMC), and absolute lymphocytic count (ALC) recovery on overall survival (OS) and leukemia free survival (LFS) in AML. 83 de novo AML cases were enrolled in this study. The hemogram parameters including differential leukocyte counts were determined and collected sequentially at days 1, 14, 21 and 28. There was no significant difference regarding AMC or ALC at any time points in relation to the cytogenetics prognostic groups. High AMC ≥ 0.8 × 10⁹/L at day 28 was associated with shorter OS and LFS, P value 0.012 and 0.003 respectively. On multivariate models, high AMC was shown as an independent prognostic factor associated with poor OS and LFS (HR 3, 95% CI 1.1-8.1 and P value 0.02) and (HR 5, 95% CI 1.5-17.4 and P value 0.01) respectively. High ALC-D28 (≥ 0.35 × 10⁹/L) was associated with prolonged OS and LFS survival, P value 0.032 and 0.016 respectively. However, it failed to prove the same significance using multivariate analysis. It was concluded that low AMC is an emerging independent predictor of better outcome in AML.