Deficient strongly adherent monocytes in the peripheral blood of cancer patients

Hematological, immunological, and polyamines alterations in the concomitant occurrence of Fasciola gigantica and hepatic leiomyoma in cattle

No previous studies have investigated the polyamines alterations during fascioliasis due to F. gigantica in ruminants. This study was therefore carried out to find out the possible relationship between the extent of liver destruction and leiomyoma and some hematological and immunological parameters and polyamines alterations in F. gigantica infection. Fifty cattle with liver fascioliasis and fifteen healthy cattle were selected for the study. For the histopathological study, liver tissue samples were stained with hematoxylin and eosin (H&E) and Masson's Trichrome methods. The leiomyoma suspected specimens were immunohistochemically stained for smooth muscle actin and desmin. Different hematological parameters were investigated in infected and non-infected animals. Furthermore, levels of putrescine, spermidine, and spermine were measured in homogenized liver samples. Serum IL-4 and TNF-α levels were also evaluated. By histological examination, the lesions were noted in all the infected specimens. These lesions were varied from leiomyoma, chronic catarrhal cholangitis, arteriosclerosis, telangiectasia, and fresh migratory tunnels filled with RBC and eosinophils. Comparison of hemogram results between infected and non-infected groups revealed a significant decrease in red blood cell counts (RBC), mean corpuscular hemoglobin concentration (MCHC), and platelet count (PLT) in infected animals. Also, a significant elevation in mean corpuscular volume (MCV) concentration was detected in infected animals. The putrescine and spermine levels of the infected animals were significantly higher than the non-infected animals. Although spermidine was increased in infected livers, its elevation was not significant. Based on the results, the level of IL-4 and TNF-α was not significantly changed in infected animals. In conclusion, the concurrent occurrence of leiomyoma and fascioliasis due to F. gigantica and polyamines elevation (putrescine and spermine) is reported for the first time. The role of polyamines in the concurrent occurrence of leiomyoma and fascioliasis is an area for future research.

The mechanisms by which polyamines accelerate tumor spread

Increased polyamine concentrations in the blood and urine of cancer patients reflect the enhanced levels of polyamine synthesis in cancer tissues arising from increased activity of enzymes responsible for polyamine synthesis. In addition to their de novo polyamine synthesis, cells can take up polyamines from extracellular sources, such as cancer tissues, food, and intestinal microbiota. Because polyamines are indispensable for cell growth, increased polyamine availability enhances cell growth. However, the malignant potential of cancer is determined by its capability to invade to surrounding tissues and metastasize to distant organs. The mechanisms by which increased polyamine levels enhance the malignant potential of cancer cells and decrease anti-tumor immunity are reviewed. Cancer cells with a greater capability to synthesize polyamines are associated with increased production of proteinases, such as serine proteinase, matrix metalloproteinases, cathepsins, and plasminogen activator, which can degrade surrounding tissues. Although cancer tissues produce vascular growth factors, their deregulated growth induces hypoxia, which in turn enhances polyamine uptake by cancer cells to further augment cell migration and suppress CD44 expression. Increased polyamine uptake by immune cells also results in reduced cytokine production needed for anti-tumor activities and decreases expression of adhesion molecules involved in anti-tumor immunity, such as CD11a and CD56. Immune cells in an environment with increased polyamine levels lose anti-tumor immune functions, such as lymphokine activated killer activities. Recent investigations revealed that increased polyamine availability enhances the capability of cancer cells to invade and metastasize to new tissues while diminishing immune cells' anti-tumor immune functions.

Development of multimarker panel for early detection of endometrial cancer. High diagnostic power of prolactin

OBJECTIVE

Endometrial carcinoma is the most common gynecologic cancer. Although the prognosis for endometrial cancer is generally good, cancers identified at late stages are associated with high levels of morbidity and mortality. Therefore, prevention and early detection may further reduce the burden of this challenging disease.

METHODS

A panel of 64 serum biomarkers was analyzed in sera of patients with stages I-III endometrial cancer and age-matched healthy women, utilizing a multiplex xMAP bead-based immunoassay. For multivariate analysis, four different statistical classification methods were used: logistic regression (LR), separating hyperplane (SHP), k nearest neighbors (KNN), and classification tree (CART). For each of these classifiers, a diagnostic model was created based on the cross-validation set consisting of sera from 115 patients with endometrial cancer and 135 healthy women.

RESULTS

Our data have demonstrated that patients with endometrial cancer have significantly different expression patterns of several serum biomarkers as compared to healthy controls. Prolactin was the strongest discriminative biomarker for endometrial cancer providing 98.3% sensitivity and 98.0% specificity alone. Our results have revealed that serum concentration of cancer antigens, including CA 125, CA 15-3, and CEA are higher in patients with Stage III endometrial cancer as compared to those with Stage I. In addition, we have shown that the expression of CA 125, AFP, and ACTH is elevated in women with tumor grade 3 vs. grade 1. Furthermore, five-biomarker panel (prolactin, GH, Eotaxin, E-selectin, and TSH) identified in this study was able to discriminate endometrial cancer from ovarian and breast cancers with high sensitivity and specificity.

CONCLUSIONS

The ability of prolactin to accurately discriminate between cancer and control groups indicates that this biomarker could potentially be used for development of blood-based test for the early detection of endometrial cancer in high-risk populations. Combining the information on multiple serum markers using flexible statistical methods allows for achieving high cancer selectivity.