No abstract

Acute myeloid leukemia (AML) is an aggressive malignancy for which overall disease-free survival is less than 50%. Manipulation of the immune system is an interesting and promising therapy for AML patients. We aimed to characterize the immune system of AML patients, highlighting the clinical relevance of total bone marrow (BM) lymphocytes and subpopulations. Sixty-six new AML cases diagnosed according to WHO criteria from King Abdullah Medical City, KSA, from October 2012 to February 2015. Analysis of BM lymphocytes and subpopulations was done by flowcytometry. Significantly, high percentages of BM lymphocytes, T cells, and natural killer (NK) cells were detected in the group that achieved complete remission (P values = 0.004, <0.001, and <0.001, respectively). Overall survival (OS) was significantly prolonged in patients with high BM lymphocytes and T cells (P values = 0.047 and P 0.002, respectively). Multivariate analysis indicated that BM T-cell percentage and cytogenetics were independent prognostic factors predictive of OS (HR 4.7, P value = 0.011). BM T-cell percentage constitutes a novel host factor that can be used in combination with cytogenetics to better predict OS. Large-scale multicenter studies are recommended to clarify its role as a predictor of OS and leukemia-free survival.

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.

Background. Malondialdehyde (MDA) has been implicated in the development of many acute inflammatory, autoimmune diseases as well as chronic inflammatory metabolic disorders. Involvement of inflammatory response and oxidative stress is currently suggested as a mechanism underlying development of diabetes and its complications. Objective. To evaluate the clinical utility of MDA, macrophage migration inhibitory factor (MIF), LDL-C/HDL-C, and TG/HDL-C ratio as noninvasive laboratory markers for prediction of T2DM vascular complications. Method. 63 Saudi T2DM patients and 16 age and sex matched controls were included. Serum MDA and MIF were assayed by thiobarbituric acid reactive substances and ELISA, respectively. TG/HDL-C and LDL-C/HDL-C ratios were calculated. Results. Uncontrolled DM patients had significantly higher levels of MDA, MIF, TG/HDL-C, and LDL-C/HDL-C ratios when compared with controlled DM patients and control group (p < 0.001). MDA had 100% sensitivity and 88% specificity. MIF showed 97% sensitivity and 100% specificity and LDL-C/HDL-C had 97% sensitivity and 95% specificity. Meanwhile, TG/HDL-C had the lowest sensitivity and specificity in identifying diabetic patients who would suffer from vascular complications. Conclusion. MDA, MIF, and LDL-C/HDL-C could be new predictors of metabolic disturbance which promote vascular complications in T2DM.