Ellagic Acid and Cancer Hallmarks: Insights from Experimental Evidence

Cancer is a complex and multifaceted disease with a high global incidence and mortality rate. Although cancer therapy has evolved significantly over the years, numerous challenges persist on the path to effectively combating this multifaceted disease. Natural compounds derived from plants, fungi, or marine organisms have garnered considerable attention as potential therapeutic agents in the field of cancer research. Ellagic acid (EA), a natural polyphenolic compound found in various fruits and nuts, has emerged as a potential cancer prevention and treatment agent. This review summarizes the experimental evidence supporting the role of EA in targeting key hallmarks of cancer, including proliferation, angiogenesis, apoptosis evasion, immune evasion, inflammation, genomic instability, and more. We discuss the molecular mechanisms by which EA modulates signaling pathways and molecular targets involved in these cancer hallmarks, based on in vitro and in vivo studies. The multifaceted actions of EA make it a promising candidate for cancer prevention and therapy. Understanding its impact on cancer biology can pave the way for developing novel strategies to combat this complex disease.

New Chalcone Derivative Inhibits ABCB1 in Multidrug Resistant T-cell Lymphoma and Colon Adenocarcinoma Cells

BACKGROUND/AIM

Development of new potential drugs to overcome multidrug resistance to chemotherapy is a big challenge for cancer treatment. Attention is also given to the natural compounds and their derivatives. The study aimed at evaluating the impact of a new chalcone derivative (1C) on multidrug resistant cell lines, focusing on P-glycoprotein (P-gp, ABCB1) inhibition, as well as 1C-doxorubicin interaction in vitro.

MATERIALS AND METHODS

Cytotoxic and antiproliferative effects of the 1C compound were assessed by thiazolyl blue tetrazolium bromide (MTT) method in mouse T-cell lymphoma and human colon adenocarcinoma cells expressing ABCB1. Alterations in ABCB1 activity were evaluated by rhodamine 123 accumulation assay using flow cytometry. Drug-drug interaction was studied using combination assay.

RESULTS

Our results confirmed antiproliferative, cytotoxic, as well as ABCB1 inhibitory potential of 1C in both tested ABCB1-expressing cancer cell lines. Furthermore, 1C displayed synergistic interaction with doxorubicin.

CONCLUSION

Our results suggest the 1C chalcone derivative as a promising compound against resistant lymphoma and colon cancer, which could be used in monotherapy or in combination with other chemotherapeutics.

Association between polymorphisms of XRCC1, p53 and MDR1 genes, the expression of their protein products and prognostic significance in human breast cancer

BACKGROUND

This study aimed to examine the relationship between XRCC1, p53 and MDR1 protein, along with polymorphisms of their genes and their prognostic values in breast cancer. The following clinical and pathological parameters were evaluated: histopathological type of tumor, grade, stage, Her2/neu expression, ER, PR positivity and involvement of regional lymph nodes.

MATERIAL/METHODS

Expression of proteins was determined in 39 samples of breast cancer by immunohistochemistry. Nucleotide polymorphisms were analyzed by PCR-RFLP. For statistical analysis, chi-square test (Yates), Fisher's exact test, and correlation test were used to analyze the data.

RESULTS

The highest protein expression was immunohistochemically found in MDR1 protein, with 54% of samples testing positive. In addition, the evaluation of MDR1 expression revealed higher positive immunoreactivity in lobular (LIC) and other types of tumor in comparison to ductal (DIC) type. The expression of p53 and XRCC1 protein was equal, but lower compared to MDR1, both testing positive in 36% of all tissue samples. Comparison of XRCC1 protein and histopathological type of tumor revealed that DIC and LIC types were mostly XRCC1-negative, while other types, papillary and mucinous were more likely to be XRCC1-positive. Interestingly, when evaluating LIC samples separately, a negative correlation between the Her2/neu and expression of XRCC1 was detected. Apparently, all Her2/neu-positive samples were XRCC1-negative (6/86%). The correlation test indicated a negative correlation between Her2/neu-positive samples and XRCC1-negative specimens (r = 1, p < 0.05). Statistical analysis did not reveal a correlation of p53 expression with clinical and pathological parameters. Similarly, no statistically significant difference was found between the tested polymorphisms and protein expression.

CONCLUSIONS

We did not find statistically significant correlation between tested polymorphisms and their protein expression.