Analysis of Changes in the Expression of Selected Genes from the ABC Family in Patients with Triple-Negative Breast Cancer

• Published in: International journal of molecular sciences Vol. 24; no. 2; p. 1257
• Main Authors: Makuch-Kocka, Anna, Kocki, Janusz, Brzozowska, Anna, Bogucki, Jacek, Kołodziej, Przemysław, Bogucka-Kocka, Anna
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 09.01.2023; MDPI
• Subjects: ABC family genes; Adipose tissue; Age; Bioinformatics; Breast cancer; Cancer therapies; Chemotherapy; Computational Biology; Drug resistance; Drug therapy; ErbB-2 protein; Estrogens; Estrogens - therapeutic use; Gene expression; gene expression regulation; Gene Expression Regulation, Neoplastic; Genes; Genomes; Glycoproteins; Humans; Lymph nodes; Lymphatic system; Medical prognosis; Metabolism; Metabolites; Metastases; Metastasis; Mortality; Multidrug resistance; Multidrug resistant organisms; Patients; Progesterone; Proteins; Triple Negative Breast Neoplasms - pathology; triple-negative breast cancer; Tumors; gene expression regulation; multidrug resistance; triple-negative breast cancer; ABC family genes
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24021257

Triple-negative breast cancer (TNBC) is characterized by a lack of expression of hormone receptors (estrogen and progesterone), as cancer cells also do not overexpress the HER2 receptor. Due to their molecular profile, treatments for this type of breast cancer are limited. In some cases, the pharmacotherapy of patients with TNBC is hindered by the occurrence of multidrug resistance, which is largely conditioned by proteins encoded by genes from the family. The aim of our study was to determine the expression profile of 14 selected genes from the family using real-time PCR in 68 patients with TNBC by comparing the obtained results with clinical data and additionally using bioinformatics tools (Ualcan and The Breast Cancer Gene Expression Miner v4.8 (bc -GenExMiner v4.8)), as well as by comparing experimental data with data in the Cancer Genome Atlas (TCGA) database. Based on the conducted studies, we found different levels of gene expression depending on the age of patients, tumor sizes, metastases to lymph nodes, cell infiltration into adipose tissue, tumor stages, or lymphovascularinvasion. The results of the presented studies demonstrate the effect of the expression level of the studied genes on the clinical course and prognosis of patients with TNBC, and suggest how profiling the expression level of genes from the family may be a useful tool in determining personalized TNBC treatment.