Very low prevalence of epidermal growth factor receptor (EGFR) protein expression and gene amplification in Saudi breast cancer patients

Long noncoding RNA profiling unveils LINC00960 as unfavorable prognostic biomarker promoting triple negative breast cancer progression

Long noncoding RNAs (lncRNAs) play a critical role in breast cancer pathogenesis, including Triple-Negative Breast Cancer (TNBC) subtype. Identifying the lncRNA expression patterns across different breast cancer subtypes could provide valuable insights into their potential utilization as disease biomarkers and therapeutic targets. In this study, we profiled lncRNA expression in 96 breast cancer cases, revealing significant differences compared to normal breast tissue. Variations across breast cancer subtypes, including Hormone Receptor-positive (HR + ), HER2-positive (HER2 + ), HER2 + HR + , and TNBC, as well as in relation to tumor grade and patients' age at diagnosis were observed. TNBC and HER2+ subtypes showed distinct clustering, while HER2 + HR+ tumors clustered closer to HR+ tumors based on their lncRNA profiles. Our data identified numerous enriched lncRNAs in TNBC, notably the elevated expression of LINC00960, which was subsequently validated in two additional datasets. Analysis of LINC00960 expression in an independent TNBC cohort (n = 360) revealed elevated expression of LINC00960 to correlate with cell movement, invasion, proliferation, and migration functional categories. Depletion of LINC00960 significantly reduced TNBC cell viability, colony formation, migration, and three-dimensional growth, while increasing cell death. Mechanistically, transcriptomic profiling of LINC00960-depleted cells confirmed its tumor-promoting role, likely through sponging of hsa-miR-34a-5p, hsa-miR-16-5p, and hsa-miR-183-5p, leading to the upregulation of cancer-promoting genes including BMI1, KRAS, and AKT3. Our findings highlight the distinct lncRNA expression patterns in breast cancer subtypes and underscore the crucial role for LINC00960 in promoting TNBC pathogenesis, suggesting its potential utilization as a prognostic marker and therapeutic target.

The spectrum of genetic mutations in breast cancer

Breast cancer is the most common malignancy in women around the world. About one in 12 women in the West develop breast cancer at some point in life. It is estimated that 5%-10% of all breast cancer cases in women are linked to hereditary susceptibility due to mutations in autosomal dominant genes. The two key players associated with high breast cancer risk are mutations in BRCA 1 and BRCA 2. Another highly important mutation can occur in TP53 resulting in a triple negative breast cancer. However, the great majority of breast cancer cases are not related to a mutated gene of high penetrance, but to genes of low penetrance such as CHEK2, CDH1, NBS1, RAD50, BRIP1 and PALB2, which are frequently mutated in the general population. In this review, we discuss the entire spectrum of mutations which are associated with breast cancer.

Epidermal Growth Factor Receptor Expression in Triple Negative and Nontriple Negative Breast Carcinomas

INTRODUCTION

The panel of markers used for molecular classification include estrogen receptors (ER), progesterone receptors (PR), human epidermal growth factor receptor (HER)-2/neu, p53, Bcl-2 and basal markers like cytokeratin 5/6 or epidermal growth factor receptor (EGFR). Among these, EGFR plays an important role and is associated with bad prognosis.

AIMS AND OBJECTIVES

To study EGFR expression in triple negative breast carcinoma (TNBC) and non-TNBCs (NTNBCs).

MATERIALS AND METHODS

Fifty cases of breast carcinomas were classified and graded according to World Health Organization and Nottingham modification of Scarff-Bloom-Richardson (SBR) system, respectively. The age of the patients ranged from 28 to 69 years. Histological features such as necrosis, pushing borders, lymphocytic infiltrate and periductal elastosis were noted. The panel of markers used in our study included ER, PR, HER-2/neu and EGFR. EGFR expression was assessed based on membrane staining. Chi-square test was applied for statistical analysis to compare EGFR expression with hormonal status and prognostic factors. P < 0.05 was considered significant.

RESULTS

The mean age was 49.8 ± 7.2 years. There were 44 (88%) infiltrating ductal carcinoma, 3 (6%) medullary carcinoma and 3 (6%) mucinous carcinoma. EGFR expression was common in young patients and was predominant in TNBC (89.47%), was also expressed in few cases of NTNBC. There was a positive correlation of EGFR expression (P = 0.03491) with a high grade. Medullary carcinomas were triple negative and strongly expressed EGFR. EGFR expression was inversely associated with ER status and showed strong association with necrosis and lymphocytic infiltrate, but not with pushing border and periductal elastosis.

CONCLUSION

EGFR is an important marker to stratify patients with breast cancer according to molecular classification. Its expression correlated positively with young age, higher SBR grade, necrosis, lymphocytic infiltrate and inversely with hormonal receptor expression.

Perspectives on Epidermal Growth Factor Receptor Regulation in Triple-Negative Breast Cancer: Ligand-Mediated Mechanisms of Receptor Regulation and Potential for Clinical Targeting

Currently, there are no effective targeted therapies for triple-negative breast cancer (TNBC) indicating a critical unmet need for breast cancer patients. Tumors that fall into the triple-negative category of breast cancers do not respond to the targeted therapies currently approved for breast cancer treatment, such as endocrine therapy (tamoxifen, aromatase inhibitors) or human epidermal growth factor receptor-2 (HER2) inhibitors (trastuzumab, lapatinib), because these tumors lack the most common breast cancer markers: estrogen receptor, progesterone receptor, and HER2. While many patients with TNBC respond to chemotherapy, subsets of patients fare poorly and relapse very quickly. Studies indicate that epidermal growth factor receptor (EGFR) is frequently overrepresented in TNBC (>50%), suggesting EGFR could be used as a biomarker and target in breast cancer. While it is clear that this growth factor receptor plays an integral role in TNBC, little is known about the mechanisms of sustained EGFR activation and how to target this protein despite availability of EGFR-targeted inhibitors, suggesting that our understanding of EGFR deregulation in TNBC is incomplete.

RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals

Protein phosphorylation catalyzed by kinases plays crucial roles in regulating a variety of intracellular processes. Owing to an increasing number of in vivo phosphorylation sites that have been identified by mass spectrometry (MS)-based proteomics, the RegPhos, available online at http://csb.cse.yzu.edu.tw/RegPhos2/, was developed to explore protein phosphorylation networks in human. In this update, we not only enhance the data content in human but also investigate kinase-substrate phosphorylation networks in mouse and rat. The experimentally validated phosphorylation sites as well as their catalytic kinases were extracted from public resources, and MS/MS phosphopeptides were manually curated from research articles. RegPhos 2.0 aims to provide a more comprehensive view of intracellular signaling networks by integrating the information of metabolic pathways and protein-protein interactions. A case study shows that analyzing the phosphoproteome profile of time-dependent cell activation obtained from Liquid chromatography-mass spectrometry (LC-MS/MS) analysis, the RegPhos deciphered not only the consistent scheme in B cell receptor (BCR) signaling pathway but also novel regulatory molecules that may involve in it. With an attempt to help users efficiently identify the candidate biomarkers in cancers, 30 microarray experiments, including 39 cancerous versus normal cells, were analyzed for detecting cancer-specific expressed genes coding for kinases and their substrates. Furthermore, this update features an improved web interface to facilitate convenient access to the exploration of phosphorylation networks for a group of genes/proteins. Database URL: http://csb.cse.yzu.edu.tw/RegPhos2/

Breast cancer in Arab populations: molecular characteristics and disease management implications

Breast cancer is a major health problem in both developing and developed countries. It is the most frequently diagnosed female malignant disease in Arab populations. The incidence of breast cancer is lower in Arab countries than in Europe and the USA but is rising fast. Breast cancers in women from Arab populations have different characteristics to those reported in individuals from Europe and the USA. For example, affected patients are at least a decade younger, they have a more advanced stage of disease at first presentation, and their tumour size is larger. Moreover, in some Arab populations, reports suggest increased axillary-lymph-node invasion, a larger proportion of negative hormone receptors, and a higher tumour grade. These disparities are not only confined to clinicopathological features but also exist at the molecular level, as shown by findings of genome-wide association studies and expression profiling.

EGFR overexpression relates to triple negative profile and poor prognosis in breast cancer patients in Tunisia

BACKGROUND

The prognosis of breast carcinoma is related to a large variety of clinical and pathological factors. Currently, only oestrogen (ER) and progesterone (PR) receptors and human epidermal growth factor receptor 2 (HER2) are used in routine pathological assessment as biomarkers. The aim of this study was to evaluate the prognostic impact of epidermal growth factor receptor (EGFR) expression individually and in combination to classical biomarkers (HER2, ER, and PR), and its relation to tumors with triple negative profile in Tunisian breast carcinoma.

METHODS

Immunohistochemistry was used to estimate the rate expression of these receptors. Univariate and multivariate analyses were used to explore the prognostic significance of EGFR in this study.

RESULTS

The expression rate of EGFR was 28.6%. EGFR expression was inversely correlated to that of ER (P < 0.001). Significant correlations between the expression of EGFR and the high histological Scarff-Bloom-Richardson (SBR) grade (P = 0.038) and also with tumors size (P = 0.041) were observed. The triple negative profile (TN: ER-/PR-/HER2-) was present in 17.3% of cases. EGFR overexpression was positively associated with this clinical aggressive profile (P < 0.001). Survival analysis showed that EGFR expression was associated with poor survival of patients (P = 0.004). In multivariate analysis, EGFR expression (P = 0.035) was found to be independent prognostic factors (significantly correlated to survival).

CONCLUSION

EGFR overexpression was observed in 28.6% of Tunisian breast carcinoma, associated with unfavorable prognosis and with triple negative tumors. Systemically evaluation of EGFR in breast carcinoma could benefit especially to TN subgroup from EGFR targeting agents.