Morphological and pathological features of basal-like breast cancer

Vestigial-like family member 1 (VGLL1): An emerging candidate in tumor progression

Vestigial-like family member 1 (VGLL1), a product of an X-linked gene (VGLL1), belongs to a family of transcriptional co-activators including VGLL2, VGLL3 and VGLL4. These proteins are called vestigial-like because of the structural and functional similarities with the Drosophila ortholog vestigial (vg). VGLL1 is usually expressed in human placenta, and has also been detected in many aggressive cancers. For this reason, it is called an onco-placental protein. It can bind and activate the TEA-domain containing transcription factors TEAD1-4, and the interaction is mediated through a conserved 'valine-x-x-histidine-phenylalanine' domain (VxxHF, x denotes any amino acid) present in VGLL1 protein. Prior studies indicate a pro-tumorigenic role for this protein in several cancers including carcinoma of the breast. This review aims at summarizing our present knowledge about the functions of VGLL1, and the mechanisms that regulate its expression in cancer.

Correlation between BRCA1 expression and the advanced stage of triple‑negative breast cancer

Triple-negative breast cancer (TNBC) is highly aggressive and has a poor prognosis. TNBC is commonly reported in young women and often relapses quickly, exhibiting aggressive characteristics. It is also linked to a loss of function of BRCA1. Patients with BRCA mutations require different treatments because this tumor type is sensitive to platinum-based chemotherapy regimens and inhibitors of the poly (ADP ribose) polymerase. The present study aimed to investigate the prognostic significance of BRCA1 expression in Indonesian patients with TNBC. The study included 57 patients with TNBC. Epidermal growth factor receptor and cytokeratin 5/6 immunostaining were used to classify TNBC into basal-like and non-basal-like subtypes. The BRCA1 expression was also determined using immunohistochemistry. Pearson's Chi-square analysis and Fisher's exact test were used to examine correlations between variables. Kaplan-Meier method was used to analyze the survival rate. Patients with TNBC had an average age of 55.18±10.014; most of them were ≥50 years-old, had high-grade tumors (75.4%), and were in the advanced stages of cancer (82.5%). The majority had no specific type of cancer (78.9%), received non-platinum-based therapies (64.9%), had basal-like subtypes (72.9%), and were still alive (56.1%). Negative BRCA1 expression was higher (52.6%) than positive expression (47.4%) and correlated with advanced cancer stage (P=0.035). However, the BRCA1 expression was not correlated with other clinicopathological variables and the types of therapy. Survival analysis showed that the stage and BRCA1 expression acted as insignificant prognostic factors in patients with TNBC (P=0.091 and P=0.150). In the present study, negative BRCA1 expression was correlated with advanced stage but did not act as a prognostic factor in Indonesian patients with TNBC.

Transmembrane Amino Acid Transporters in Shaping the Metabolic Profile of Breast Cancer Cell Lines: The Focus on Molecular Biological Subtype

Amino acid metabolism in breast cancer cells is unique for each molecular biological subtype of breast cancer. In this review, the features of breast cancer cell metabolism are considered in terms of changes in the amino acid composition due to the activity of transmembrane amino acid transporters. In addition to the main signaling pathway PI3K/Akt/mTOR, the activity of the oncogene c-Myc, HIF, p53, GATA2, NF-kB and MAT2A have a direct effect on the amino acid metabolism of cancer cells, their growth and proliferation, as well as the maintenance of homeostatic equilibrium. A distinctive feature of luminal subtypes of breast cancer from TNBC is the ability to perform gluconeogenesis. Breast cancers with a positive expression of the HER2 receptor, in contrast to TNBC and luminal A subtype, have a distinctive active synthesis and consumption of fatty acids. It is interesting to note that amino acid transporters exhibit their activity depending on the pH level inside the cell. In the most aggressive forms of breast cancer or with the gradual progression of the disease, pH will also change, which will directly affect the metabolism of amino acids. Using the cell lines presented in this review, we can trace the characteristic features inherent in each of the molecular biological subtypes of breast cancer and develop the most optimal therapeutic targets.

RSK1 and RSK2 as therapeutic targets: an up-to-date snapshot of emerging data

INTRODUCTION

The four members of the p90 ribosomal S6 kinase (RSK) family are serine/threonine protein kinases, which are phosphorylated and activated by ERK1/2. RSK1/2/3 are further phosphorylated by PDK1. Receiving inputs from two major signaling pathways places RSK as a key signaling node in numerous pathologies. A plethora of RSK1/2 substrates have been identified, and in the majority of cases the causative roles these RSK substrates play in the pathology are unknown.

AREAS COVERED

The majority of studies have focused on RSK1/2 and their functions in a diverse group of cancers. However, RSK1/2 are known to have important functions in cardiovascular disease and neurobiological disorders. Based on the literature, we identified substrates that are common in these pathologies with the goal of identifying fundamental physiological responses to RSK1/2.

EXPERT OPINION

The core group of targets in pathologies driven by RSK1/2 are associated with the immune response. However, there is a paucity of the literature addressing RSK function in inflammation, which is critical to know as the pan RSK inhibitor, PMD-026, is entering phase II clinical trials for metastatic breast cancer. A RSK inhibitor has the potential to be used in numerous diverse diseases and disorders.

Apolipoprotein A-1 downregulation promotes basal-like breast cancer cell proliferation and migration associated with DNA methylation

Apolipoprotein A-I (APOA1) performs different roles in different subtypes of breast cancer. It is hypothesized to function as a tumor suppressor in basal-like breast cancer (BLBC). However, the specific role of APOA1 in BLBC and its underlying mechanisms remain unknown. The findings of the present study demonstrated a positive correlation between the expression level of APOA1 and the overall survival of patients with BLBC. Ectopic expression of APOA1 effectively inhibits the proliferation and metastasis of BLBC cells in vitro, and these effects are closely related to DNA methylation. To the best of our knowledge, the present study is the first to report increased methylation of the promoter region and decreased methylation of the structural genes of APOA1 in BLBC cells. These alterations resulted in the downregulation of APOA1 expression and suppression of BLBC tumor growth. Collectively, the results of the present study suggested that APOA1 mRNA expression is negatively regulated by DNA methylation in BLBC. Therefore, low expression of APOA1 may be a potential risk biomarker to predict survival in patients with BLBC.

Advancements and challenges in triple-negative breast cancer: a comprehensive review of therapeutic and diagnostic strategies

Triple-negative breast cancer (TNBC) poses significant challenges in oncology due to its aggressive nature, limited treatment options, and poorer prognosis compared to other breast cancer subtypes. This comprehensive review examines the therapeutic and diagnostic landscape of TNBC, highlighting current strategies, emerging therapies, and future directions. Targeted therapies, including PARP inhibitors, immune checkpoint inhibitors, and EGFR inhibitors, hold promise for personalized treatment approaches. Challenges in identifying novel targets, exploring combination therapies, and developing predictive biomarkers must be addressed to optimize targeted therapy in TNBC. Immunotherapy represents a transformative approach in TNBC treatment, yet challenges in biomarker identification, combination strategies, and overcoming resistance persist. Precision medicine approaches offer opportunities for tailored treatment based on tumor biology, but integration of multi-omics data and clinical implementation present challenges requiring innovative solutions. Despite these challenges, ongoing research efforts and collaborative initiatives offer hope for improving outcomes and advancing treatment strategies in TNBC. By addressing the complexities of TNBC biology and developing effective therapeutic approaches, personalized treatments can be realized, ultimately enhancing the lives of TNBC patients. Continued research, clinical trials, and interdisciplinary collaborations are essential for realizing this vision and making meaningful progress in TNBC management.

GEMIN4, a potential therapeutic targets for patients with basal-like subtype breast cancer

BACKGROUND

Basal-like breast cancer (BLBC) takes up about 10-20% of all breast cancer(BC), what's more, BLBC has the lowest survival rate among all BC subtypes because of lacks of efficient treatment methods. We aimed to explore the molecules that can be used as diagnostic maker for BLBC at early stage and provide optimized treatment strategies for BLBC patients in this study.

METHODS

Apply weighted gene co-expression network analysis (WGCNA) to identify gene modules related to BLBC;The functional enrichment of candidate genes related to BLBC in the red module of Go data package and KEGG analysis;Overlapping cross analysis of URGs and WGCNA to identify candidate genes in each BC subtype;Divide BCBL patients into high-risk and low-risk groups, and analyze the two groups of overall survival (OS) and relapse free survival (RFS);Screening of GEMIN4 dependent cell lines; QRT PCR was used to verify the expression of GEMIN4 transfected with siRNA; CCK8 was used to determine the effect of GEMIN4 on cell viability; Positive cell count detected by BrdU staining;GO and KEGG enrichment analysis of GEMIN4.

RESULTS

The "red module" has the highest correlation with BLBC, with 913 promising candidate genes identified from the red module;913 red module candidate genes related to BLBC participated in multiple GO terms, and KEGG enrichment analysis results mainly enriched in estrogen signaling pathways and pathways in cancer;There are 386 overlapping candidate genes among the 913 "red module" genes identified by 1893 common URG and WGCNA;In BLBC patients, 9 highly expressed genes are associated with OS. Five highly expressed genes are associated with RFS. Kaplan Meier survival analysis suggests that high GEMIN4 expression levels are associated with poor prognosis in BLBC patients;The GEMIN4 gene dependency score in HCC1143 and CAL120 cell lines is negative and low; Si-GEMIN4-1 can significantly reduce the mRNA expression of GEMIN4; Si-GEMIN4 can inhibit cell viability; Si-GEMIN4 can reduce the number of positive cells;GO enrichment analysis showed that GEMIN4 is associated with DNA metabolism processes and adenylate binding; KEGG pathway enrichment analysis shows that GEMIN4 is related to ribosome biogenesis in eukaryotes.

CONCLUSION

We hypothesized that GEMIN4 may be the potential target for the treatment of BLBC.

Kinesin Family Member 2A Serves as a Potential Biomarker Reflecting More Frequent Lymph Node Metastasis and Tumor Recurrence Risk in Basal-Like Breast Cancer Patients

Background

Kinesin family member 2A (KIF2A) is reported as an oncogene and a potential biomarker for progression and prognosis in several cancers such as cervical, ovarian, and gastric. However, its clinical value in basal-like breast cancer (BLBC) is unclear. This study aims to evaluate KIF2A expression and its correlation with clinical features and survival rates in BLBC patients.

Methods

KIF2A mRNA and protein expressions in tumor and adjacent tissues from 89 BLBC patients are assessed by reverse transcription-quantitative polymerase chain reaction and immunohistochemistry assays, respectively.

Results

Both KIF2A protein (p < 0.001) and mRNA expressions (p < 0.001) were higher in tumor than in adjacent tissue. Besides, tumor KIF2A protein expression was positively correlated with N (p = 0.028) and TNM (p = 0.014) stages; meanwhile, tumor KIF2A mRNA expression was positively correlated with N stage (p = 0.046), TNM stage (p = 0.006), and tumor size (p = 0.043). Additionally, both tumor KIF2A protein (p = 0.035) and mRNA (p = 0.039) high expressions were correlated with worse disease-free survival (DFS) but not with overall survival (both p > 0.05). Moreover, tumor KIF2A protein expression was higher in relapsed patients than in non-relapsed patients within 3 years (p = 0.015) and 5 years (p = 0.031), whereas no difference was found between the dead and survivors within 3 years (p = 0.057) or 5 years (p = 0.107). Lastly, after adjustment, tumor KIF2A mRNA high exhibited a trend that correlated with DFS but without statistical significance (p = 0.051).

Conclusion

KIF2A correlates with more frequent lymph node metastasis and worse DFS in BLBC patients, shedding light on its potency as a biomarker for BLBC.

Varying outcomes of triple-negative breast cancer in different age groups-prognostic value of clinical features and proliferation

PURPOSE

Triple-negative breast cancer (TNBC) is an aggressive disease lacking specific biomarkers to guide treatment decisions. We evaluated the combined prognostic impact of clinical features and novel biomarkers of cell cycle-progression in age-dependent subgroups of TNBC patients.

METHODS

One hundred forty seven TNBC patients with complete clinical data and up to 18 year follow-up were collected from Turku University Hospital, Finland. Eight biomarkers for cell division were immunohistochemically detected to evaluate their clinical applicability in relation to patient and tumor characteristics.

RESULTS

Age at diagnosis was the decisive factor predicting disease-specific mortality in TNBC (p = 0.002). The established prognostic features, nodal status and Ki-67, predicted survival only when combined with age. The outcome and prognostic features differed significantly between age groups, middle-aged patients showing the most favorable outcome. Among young patients, only lack of basal differentiation predicted disease outcome, indicating 4.5-fold mortality risk (p = 0.03). Among patients aged > 57, the established prognostic features predicted disease outcome with up to 3.0-fold mortality risk for tumor size ≥ 2 cm (p = 0.001). Concerning cell proliferation, Ki-67 alone was a significant prognosticator among patients aged > 57 years (p = 0.009). Among the studied cell cycle-specific biomarkers, only geminin predicted disease outcome, indicating up to 6.2-fold increased risk of mortality for tumor size < 2 cm (p = 0.03).

CONCLUSION

Traditional clinical features do not provide optimal prognostic characterization for all TNBC patients. Young age should be considered as an additional adverse prognostic feature in therapeutic considerations. Increased proliferation, as evaluated using Ki-67 or geminin immunohistochemistry, showed potential in detecting survival differences in subgroups of TNBC.

Opportunities for Utilization of DNA Repair Inhibitors in Homologous Recombination Repair-Deficient and Proficient Pancreatic Adenocarcinoma

Pancreatic cancer is rapidly progressive and notoriously difficult to treat with cytotoxic chemotherapy and targeted agents. Recent demonstration of the efficacy of maintenance PARP inhibition in germline BRCA mutated pancreatic cancer has raised hopes that increased understanding of the DNA damage response pathway will lead to new therapies in both homologous recombination (HR) repair-deficient and proficient pancreatic cancer. Here, we review the potential mechanisms of exploiting HR deficiency, replicative stress, and DNA damage-mediated immune activation through targeted inhibition of DNA repair regulatory proteins.