Breast Cancer Genetics: Diagnostics and Treatment

CDCA5 accelerates progression of breast cancer by promoting the binding of E2F1 and FOXM1

BACKGROUND

Breast cancer is one of the most common malignant tumors in women. Cell division cycle associated 5 (CDCA5), a master regulator of sister chromatid cohesion, was reported to be upregulated in several types of cancer. Here, the function and regulation mechanism of CDCA5 in breast cancer were explored.

METHODS

CDCA5 expression was identified through immunohistochemistry staining in breast cancer specimens. The correlation between CDCA5 expression with clinicopathological features and prognosis of breast cancer patients was analyzed using a tissue microarray. CDCA5 function in breast cancer was explored in CDCA5-overexpressed/knockdown cells and mice models. Co-IP, ChIP and dual-luciferase reporter assay assays were performed to clarify underlying molecular mechanisms.

RESULTS

We found that CDCA5 was expressed at a higher level in breast cancer tissues and cell lines, and overexpression of CDCA5 was significantly associated with poor prognosis of patients with breast cancer. Moreover, CDCA5 knockdown significantly suppressed the proliferation and migration, while promoted apoptosis in vitro. Mechanistically, we revealed that CDCA5 played an important role in promoting the binding of E2F transcription factor 1 (E2F1) to the forkhead box M1 (FOXM1) promoter. Furthermore, the data of in vitro and in vivo revealed that depletion of FOXM1 alleviated the effect of CDCA5 overexpression on breast cancer. Additionally, we revealed that the Wnt/β-catenin signaling pathway was required for CDCA5 induced progression of breast cancer.

CONCLUSIONS

We suggested that CDCA5 promoted progression of breast cancer via CDCA5/FOXM1/Wnt axis, CDCA5 might serve as a novel therapeutic target for breast cancer treatment.

Oridonin promotes RSL3-induced ferroptosis in breast cancer cells by regulating the oxidative stress signaling pathway JNK/Nrf2/HO-1

The incidence and mortality of breast cancer, the most common malignant tumor among women in the world, are increasing year by year, which greatly threatens women's health. Ferroptosis is an iron and lipid reactive oxygen species (ROS)-dependent process, a novel form of cell death that is distinct from apoptosis and is closely related to the progression of breast cancer. Inducing the occurrence of ferroptosis in tumor cells can effectively block its malignant progress in vivo. Oridonin (ORI), the primary active ingredient extracted from the Chinese herbal medicine Rabdosia rubescens, has been shown to cause glutathione depletion and directly inhibit glutathione peroxidase 4 induced cell death by ferroptosis, but its mechanism of action in breast cancer remains inadequately elucidated. Therefore, we further investigated whether ORI could promote RSL3-induced ferroptosis in breast cancer cells by regulating the oxidative stress pathway JNK/Nrf2/HO-1. In our study, we assessed cell survival of RSL3 and ORI treatment by MTT assay, and found that co-treatment with RSL3 and ORI inhibited cell proliferation, as evidenced by the cloning assay. To investigate the ability of ORI to promote RSL3-induced ferroptosis in breast cancer cells, we measured levels of ROS, malondialdehyde, glutathione, superoxide dismutase, and Fe2+ content. Lipid peroxidation, ROS, and mitochondrial membrane potential levels induced by co-treatment of ORI with RSL3 were reversed by ferrostatin-1, further confirming that the cell death induced by RSL3 and ORI was ferroptosis rather than other programmed cell death modes. Moreover, RSL3 and ORI co-treatment regulated the JNK/Nrf2/HO-1 axis, as demonstrated by western blotting and target activator validation. Our results showed that ORI could enhance the inhibitory effect of RSL3 on breast cancer cells viability via the induction of ferroptosis. Mechanistically, it potentiated RSL3-induced ferroptosis in breast cancer cells by activating the JNK/Nrf2/HO-1 axis. This study provides a theoretical basis for the application of ORI based on the mechanism of ferroptosis, and provides potential natural drug candidates for cancer prevention and treatment.

lncRNAs and cyclin-dependent kinases: Unveiling their critical roles in cancer progression

Long non-coding RNAs (lncRNAs) are a diverse class of RNA molecules that do not code for proteins but play critical roles in gene regulation. One such role involves the modulation of cell cycle progression and proliferation through interactions with cyclin-dependent kinases (CDKs), key regulators of cell division. Dysregulation of CDK activity is a hallmark of cancer, contributing to uncontrolled cell growth and tumor formation. These lncRNA-CDK interactions are part of a complex network of molecular mechanisms underlying cancer pathogenesis, involving various signaling pathways and regulatory circuits. Understanding the interplay between lncRNAs, CDKs, and cancer biology holds promise for developing novel therapeutic strategies targeting these molecular targets for more effective cancer treatment. Furthermore, targeting CDKs, key cell cycle progression and proliferation regulators, offers another avenue for disrupting cancer pathways and overcoming drug resistance. This can open new possibilities for individualized treatment plans and focused therapeutic interventions.

The value of elastography strain rate ratio in benign and malignant BI-RADS-US 3-4 breast masses

In the realm of breast diagnostics, Breast Imaging Reporting and Data System (BI-RADS) serves as a systematic framework, guiding a methodical exploration into the nuanced narratives of masses. The current study aims to investigate the value of strain rate ratio (SR) of elastography for benign and malignant breast masses categorized by BI-RADS for Ultrasonography (BI-RADS-US) category 3-4. Ultrasonographic data of 1099 breast masses that underwent both elastography and pathological examination were retrospectively analyzed by non-parametric test, consistency analysis and receiver operating characteristic (ROC) curve sequentially. ROC curve was used to evaluate the diagnostic effect of SR method in different BI-RADS categories of breast lesions. The maximum Youden index obtained from the ROC curve was 0.845. At a cut-off value of 3.57, the SR values' diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value for distinguishing benign and malignant breast lesions were 85.7 %, 98.8 %, 93.6 %, 97.9 % and 91.45 %, respectively. Consistency analysis showed that the consistency between SR value and pathological diagnosis was 93.6 % (κ = 0.864). In addition, the SR values between benign and malignant lesions of BI-RADS 3 and 4 were statistically different (P < 0.001). ROC analysis indicated that the diagnostic area under curve (AUC) for SR value in BI-RADS 3, 4a, 4b and 4c lesions were 0.985, 0.866, 0.793 and 0.916, respectively. In addition, the study observed 58 cases of missed diagnosis and 20 cases of misdiagnosis in evaluating benign and malignant breast lesions. The elastic SR ratio method has a good diagnostic value for the evaluation of breast masses, particularly for lesions with a score of 3-4. The elastic SR ratio method is instrumental in enhancing the accuracy of diagnosis.

Bioinformatics analysis and validation of genes related to paclitaxel's anti-breast cancer effect through immunogenic cell death

Research indicated that Paclitaxel (PTX) can induce immunogenic cell death (ICD) through immunogenic modulation. However, the combination of PTX and ICD has not been extensively studied in breast cancer (BRCA). The TCGA-BRCA and GSE20685 datasets were enrolled in this study. Samples from the TCGA-BRCA dataset were consistently clustered based on selected immunogenic cell death-related genes (ICD-RGs). Next, candidate genes were obtained by overlapping differentially expressed genes (DEGs) between BRCA and normal groups, intersecting genes common to DEGs between cluster1 and cluster2 and hub module genes, and target genes of PTX from five databases. The univariate Cox algorithm and the least absolute shrinkage and selection operator (LASSO) were performed to obtain biomarkers and build a risk model. Following observing the immune microenvironment in differential risk subgroups, single-gene gene set enrichment analysis (GSEA) was carried out in all biomarkers. Finally, the expression of biomarkers was analyzed. Enrichment analysis showed that 626 intersecting genes were linked with inflammatory response. Further five biomarkers (CHI3L1, IL18, PAPLN, SH2D2A, and UBE2L6) were identified and a risk model was built. The model's performance was validated using GSE20685 dataset. Furthermore, the biomarkers were enriched with adaptive immune response. Lastly, the experimental results indicated that the alterations in IL18, SH2D2A, and CHI3L1 expression after treatment matched those in the public database. In this study, Five PTX-ICD-related biomarkers (CHI3L1, IL18, PAPLN, SH2D2A, and UBE2L6) were identified to aid in predicting BRCA treatment outcomes.

Unravelling the role of long non-coding RNAs in modulating the Hedgehog pathway in cancer

Cancer is a multifactorial pathological condition characterized by uncontrolled cellular proliferation, genomic instability, and evasion of regulatory mechanisms. It arises from the accumulation of genetic mutations confer selective growth advantages, leading to malignant transformation and tumor formation. The intricate interplay between LncRNAs and the Hedgehog pathway has emerged as a captivating frontier in cancer research. The Hedgehog pathway, known for its fundamental roles in embryonic development and tissue homeostasis, is frequently dysregulated in various cancers, contributing to aberrant cellular proliferation, survival, and differentiation. The Hh pathway is crucial in organizing growth and maturation processes in multicellular organisms. It plays a pivotal role in the initiation of tumors as well as in conferring resistance to conventional therapeutic approaches. The crosstalk among the Hh pathway and lncRNAs affects the expression of Hh signaling components through various transcriptional and post-transcriptional processes. Numerous pathogenic processes, including both non-malignant and malignant illnesses, have been identified to be induced by this interaction. The dysregulation of lncRNAs has been associated with the activation or inhibition of the Hh pathway, making it a potential therapeutic target against tumorigenesis. Insights into the functional significance of LncRNAs in Hedgehog pathway modulation provide promising avenues for diagnostic and therapeutic interventions. The dysregulation of LncRNAs in various cancer types underscores their potential as biomarkers for early detection and prognostication. Additionally, targeting LncRNAs associated with the Hedgehog pathway presents an innovative strategy for developing precision therapeutics to restore pathway homeostasis and impede cancer progression. This review aims to elucidate the complex regulatory network orchestrated by LncRNAs, unravelling their pivotal roles in modulating the Hedgehog pathway and influencing cancer progression.

Exploring Biomarkers in Breast Cancer: Hallmarks of Diagnosis, Treatment, and Follow-Up in Clinical Practice

Breast cancer is a prevalent malignancy in the present day, particularly affecting women as one of the most common forms of cancer. A significant portion of patients initially present with localized disease, for which curative treatments are pursued. Conversely, another substantial segment is diagnosed with metastatic disease, which has a worse prognosis. Recent years have witnessed a profound transformation in the prognosis for this latter group, primarily due to the discovery of various biomarkers and the emergence of targeted therapies. These biomarkers, encompassing serological, histological, and genetic indicators, have demonstrated their value across multiple aspects of breast cancer management. They play crucial roles in initial diagnosis, aiding in the detection of relapses during follow-up, guiding the application of targeted treatments, and offering valuable insights for prognostic stratification, especially for highly aggressive tumor types. Molecular markers have now become the keystone of metastatic breast cancer diagnosis, given the diverse array of chemotherapy options and treatment modalities available. These markers signify a transformative shift in the arsenal of therapeutic options against breast cancer. Their diagnostic precision enables the categorization of tumors with elevated risks of recurrence, increased aggressiveness, and heightened mortality. Furthermore, the existence of therapies tailored to target specific molecular anomalies triggers a cascade of changes in tumor behavior. Therefore, the primary objective of this article is to offer a comprehensive review of the clinical, diagnostic, prognostic, and therapeutic utility of the principal biomarkers currently in use, as well as of their clinical impact on metastatic breast cancer. In doing so, our goal is to contribute to a more profound comprehension of this complex disease and, ultimately, to enhance patient outcomes through more precise and effective treatment strategies.

Impact of evidence-based nursing on postoperative psychological state, quality of life, and function of affected limbs in breast cancer patients: An observational study

To analyze the effect of evidence-based nursing on postoperative psychological state, quality of life, and function of affected limbs in breast cancer (BC) patients. This study is a retrospective analysis. The clinical data of 122 BC patients in our hospital were selected and divided into evidence-based group and routine group according to different nursing programs. Patients in evidence-based group received evidence-based nursing, and patients in the conventional group received routine nursing intervention. The acceptance level of BC diagnosis in evidence-based group was significantly higher than that in the conventional group, showing statistical significance (P < .05). After intervention, Self-rating Anxiety Scale and Self-rating Depression Scale scores of both groups were significantly reduced, and the Self-rating Anxiety Scale and Self-rating Depression Scale scores in evidence-based group were significantly lower than those in conventional group, showing statistically significant difference (P < .05); Self-Esteem Scale scores were significantly increased in both groups after intervention, and the scores in evidence-based group were significantly higher than those in conventional group, showing statistically significant difference (P < .05). After intervention, in evidence-based group, the proportion of patients without edema was significantly increased, while the proportion of patients with mild, moderate and severe edema was significantly decreased, exhibiting statistically significant difference (P < .05). After intervention, the circumference difference of the healthy side and the affected side decreased significantly, which was much lower in evidence-based group, showing statistically significant difference (P < .05). After intervention, range of motion of the upper limbs increased significantly between the 2 groups, which was much higher in evidence-based group, exhibiting statistical significance (P < .05). The scores of quality of life (role, emotion, body, cognition and society dimension) in evidence-based group were higher than those in conventional group, exhibiting statistically significant difference (P < .05). Evidence-based nursing can develop more targeted nursing measures according to patients' problems, thus effectively promoting the recovery of upper limb function of BC patients after surgery.

Evaluation of potential prevalence of onconeural antibodies in women with breast cancer

OBJECTIVE

Aim: To analyse onconeural antibodies in the blood serum of breast cancer patients without neurological symptoms..

PATIENTS AND METHODS

Materials and Methods: The study included 48 women with breast cancer. Paraneoplastic Neurologic Syndromes 12 Ag (IgG) Euroline by EUROIMMUN test was used to determine onconeural antibodies: anti-Hu, anti-Yo, anti-Ri, anti-CV2, anti-Ma/anti-Ta, anti-amphiphysin, anti-recoverin, anti-SOX1, anti-tytin, anti-zic4, anti-GAD65 and anti-Tr (DNER).

RESULTS

Results: The conducted analysis revealed the presence of onconeural antibodies such as: anti-recoverin, anti-CV2, anti-Zic4, anti-SOX1, anti-MA2/Ta and antititin in blood serum of women with breast cancer.

CONCLUSION

Conclusions: Further analysis may allow the assessment of the possible clinical usefulness of these determinations.

From inflammation to metastasis: The central role of miR-155 in modulating NF-κB in cancer

Cancer is a multifaceted, complex disease characterized by unchecked cell growth, genetic mutations, and dysregulated signalling pathways. These factors eventually cause evasion of apoptosis, sustained angiogenesis, tissue invasion, and metastasis, which makes it difficult for targeted therapeutic interventions to be effective. MicroRNAs (miRNAs) are essential gene expression regulators linked to several biological processes, including cancer and inflammation. The NF-κB signalling pathway, a critical regulator of inflammatory reactions and oncogenesis, has identified miR-155 as a significant participant in its modulation. An intricate network of transcription factors known as the NF-κB pathway regulates the expression of genes related to inflammation, cell survival, and immunological responses. The NF-κB pathway's dysregulation contributes to many cancer types' development, progression, and therapeutic resistance. In numerous cancer models, the well-studied miRNA miR-155 has been identified as a crucial regulator of NF-κB signalling. The p65 subunit and regulatory molecules like IκB are among the primary targets that miR-155 directly targets to alter NF-κB activity. The molecular processes by which miR-155 affects the NF-κB pathway are discussed in this paper. It also emphasizes the miR-155's direct and indirect interactions with important NF-κB cascade elements to control the expression of NF-κB subunits. We also investigate how miR-155 affects NF-κB downstream effectors in cancer, including inflammatory cytokines and anti-apoptotic proteins.

Comparative Evaluation of Contrast-Enhanced Spectral Mammography and Digital Breast Tomosynthesis for Diagnosing and Treating Breast Cancer

BACKGROUND The aim of this study was to evaluate the efficacy of contrast-enhanced spectral mammography (CESM) and digital breast tomosynthesis (DBT) in the diagnosis and chemotherapy of breast cancer. MATERIAL AND METHODS We retrospectively analyzed data on 125 lesions of 115 patients with breast diseases in Lanzhou First People's Hospital from January 2020 to June 2022. Patients were examined by digital breast tomographic fusion and contrast-enhanced spectral mammography after chemotherapy. We compared the diagnostic accuracy of the 2 imaging techniques, and the diagnostic efficacy was evaluated with ROC curves. RESULTS There were significant differences in the type and degree of CESM enhancement between benign and malignant lesions. Malignant lesions mostly showed moderate to severe enhancement, while benign lesions mostly showed mild to moderate enhancement. There was no significant difference in DBT manifestations between benign and malignant lesions. After neoadjuvant chemotherapy, 88 patients had pathological remission, and the remission rate was 70.40%. Thirty-seven patients did not respond (nonresponse rate: 29.60%). The accuracy of CESM lesion size assessment was 84.00% (105/125), with high consistency. The accuracy of DBT lesion size assessment was 68.00% (85/125), and the consistency was poor. BI-RADS 4B was the truncation point. CESM had significantly higher sensitivity, specificity, accuracy, positive predictive value, and negative predictive value than DBT. In premenopausal patients and patients aged less than 50 years, the diagnostic efficacy of DBT and CESM was significantly different. CONCLUSIONS The diagnostic efficacy of CESM was significantly better than DBT in premenopausal women and patients under age 50. Diagnosis and treatment of breast diseases may be enhanced by the use of CESM.

The effects of women's insight levels on breast cancer prevention behaviors: a cross-sectional study

The aim of this study is to determine the effect of women's insight levels on their breast cancer prevention behaviors in primary health care services. A systematic sampling method was used to select a sample of 393 women in a province in Turkey. Socio-demographic Characteristics Form, Insight Scale and Scale for Determining Factors Affecting Women's Breast Cancer Prevention Behaviour were used as data collection tools. Data were collected face-to-face and then analyzed statistically using Student's t-test, one-way analysis of variance, Tukey HSD, Spearman correlation test and multiple regression analysis. The results showed that those who felt "healthy" had significantly higher mean breast cancer prevention behavior (p < .05). It was determined that there was a weak positive correlation between the level of insight and breast cancer prevention behaviors, and the increase in the level of insight had a significant positive effect of 0.37 ± 0.051 points on breast cancer prevention behaviors. It was found that there was a significant negative effect on prevention behaviors with 1.66 ± 0.796 points in those with a high education level and 1.58 ± 0.505 points in those with suspected disease. In conclusion, in this study, it was determined that insight level, education level, and awareness of early diagnosis affected the prevention behaviors of breast cancer.

High PGAP3 expression is associated with lymph node metastasis and low CD8+T cell in patients with HER2+ breast cancer

BACKGROUND

Breast cancer (BC) stands as the most prevalent malignancy among women and ranks as the second most frequently diagnosed cancer globally among newly identified cases. Post-GPI attachment to proteins factor 3（PGAP3）was reported to involve in lipid remodeling. However, its specific role in breast cancer remains inadequately elucidated. Consequently, the principal objective of this study was to investigate the clinical significance of PGAP3 in breast cancer.

METHODS

We conducted an extensive analysis using both public databases and our own sample cohort to assess the role of PGAP3 in breast cancer. Immunohistochemistry was employed to assess PGAP3 expression, immune markers, and the co-expression of PGAP3 with key susceptibility genes. Data analysis was performed using the R programming language.

RESULTS

Our findings revealed that PGAP3 is significantly overexpressed in breast cancer, particularly in human epidermal growth factor 2 positive (HER2 +) breast cancer cases (p < 0.001). Co-expression analyses demonstrated a significant correlation between PGAP3 and susceptibility genes associated with breast cancer, including BRCA1, BRCA2, PALB2, ATM, CHEK2, RAD51C, and RAD51D (p < 0.05). Logistic regression analysis identified PGAP3 as a significant predictor of estrogen receptor (ER), progesterone receptor (PR), HER2, and lymph node metastasis status (p < 0.01). Furthermore, higher PGAP3 expression was associated with decreased infiltration of CD8 + T cells in breast cancer samples.

CONCLUSION

Our study sheds light on the clinical significance of PGAP3 in breast cancer. PGAP3 is not only overexpressed in breast cancer but also correlates with key susceptibility genes, lymph node metastasis, and CD8 + T cell infiltration. These findings provide valuable insights into the potential role of PGAP3 as a biomarker in breast cancer and may contribute to our understanding of the disease's pathogenesis.

Unraveling the Role of Hepatic PGC1α in Breast Cancer Invasion: A New Target for Therapeutic Intervention?

Breast cancer (BC) is the most common cancer among women worldwide and the main cause of cancer deaths in women. Metabolic components are key risk factors for the development of non-alcoholic fatty liver disease (NAFLD), which may promote BC. Studies have reported that increasing PGC1α levels increases mitochondrial biogenesis, thereby increasing cell proliferation and metastasis. Moreover, the PGC1α/ERRα axis is a crucial regulator of cellular metabolism in various tissues, including BC. However, it remains unclear whether NAFLD is closely associated with the risk of BC. Therefore, the present study aimed to determine whether hepatic PGC1α promotes BC cell invasion via ERRα. Various assays, including ELISA, western blotting, and immunoprecipitation, have been employed to explore these mechanisms. According to the KM plot and TCGA data, elevated PGC1α expression was highly associated with a shorter overall survival time in patients with BC. High concentrations of palmitic acid (PA) promoted PGC1α expression, lipogenesis, and inflammatory processes in hepatocytes. Conditioned medium obtained from PA-treated hepatocytes significantly increased BC cell proliferation. Similarly, recombinant PGC1α in E0771 and MCF7 cells promoted cell proliferation, migration, and invasion in vitro. However, silencing PGC1α in both BC cell lines resulted in a decrease in this trend. As determined by immunoprecipitation assay, PCG1a interacted with ERRα, thereby facilitating the proliferation of BC cells. This outcome recognizes the importance of further investigations in exploring the full potential of hepatic PGC1α as a prognostic marker for BC development.

Genetic alterations in LEP and ADIPOQ genes and risk for breast cancer: a meta-analysis

Introduction

Breast cancer has a strong genetic predisposition, and its genetic architecture is not fully understood thus far. In this study, we aimed to perform a meta-analysis to evaluate the association of genetic alterations in LEP and ADIPOQ genes, as well as their receptor-encoded genes with risk for breast cancer.

Methods

Only published studies conducted in humans and written in English were identified by searching PubMed, SCOPUS, CINAHIL and Embase from their inception to October 2022. Eligibility assessment and data collection were completed independently by two researchers. Statistical analyses were done using the STATA software.

Results

After literature search, 33 publications were eligible for inclusion. Overall, LEP gene rs7799039-G allele (odds ratio [OR]: 0.78, 95% confidence interval [CI]: 0.62 to 0.98) and ADIPOQ gene rs1501299-T allele (OR: 1.41, 95% CI: 1.06 to 1.88) were associated with the significant risk of breast cancer. In subgroup analyses, differences in menopausal status, obesity, race, study design, diagnosis of breast cancer, genotyping method and sample size might account for the divergent observations of individual studies. Circulating leptin levels were comparable across genotypes of LEP gene rs7799039, as well as that of LEPR gene rs1137101 (P>0.05). Begg's funnel plots seemed symmetrical, with the exception of LEPR gene rs1137100 and ADIPOQ gene rs1501299.

Discussion

Taken together, we found, in this meta-analysis, that LEP gene rs7799039 and ADIPOQ gene rs1501299 were two promising candidate loci in predisposition to breast cancer risk.