Identification of potential oncogenes in triple-negative breast cancer based on bioinformatics analyses

Transcription factor E2F1 promotes non-small cell lung cancer progression by activating the PI3K/AKT pathway through MCM4

PURPOSE

Among malignant tumors, non-small cell lung cancer (NSCLC) remains a major threat to human life and health. Studies have illustrated that minichromosome maintenance protein 4 (MCM4) has complex interactions with the progression of many cancers, yet the role and mechanism of MCM4 in NSCLC remain to be elucidated.

METHODS

MCM4 expression in NSCLC tissues was assessed using the TCGA database. MCM4 levels in NSCLC cells and tissues was validated utilizing qRT-PCR and western blot. Cell proliferation, metastasis and EMT were measured by CCK-8, transwell, and western blot assays. Subsequently, E2F1 bound with the promoter of MCM4 was predicted via JASPAR database. Luciferase assay and chromatin immunoprecipitation (ChIP) were utilized to evaluate the binding relationship between the two. Finally, rescue experiments were performed to demonstrate the mechanism of MCM4 regulating NSCLC progression. Xenograft model was utilized to prove the role of MCM4 and E2F1 in NSCLC in vivo.

RESULTS

MCM4 was markedly elevated in NSCLC tumor samples and intimately linked to poor patient prognosis. Silencing of MCM4 repressed growth, migration, invasion, and EMT of cells. In vivo test findings displayed that knockdown of MCM4 suppressed changes in tumor volume and weight in mice. Moreover, E2F1 bound with the promoter of MCM4 was predicted by JASPAR database. E2F1 was heightened in NSCLC tissues and cells. Then, the outcome of rescue assays confirmed that E2F1 introduction attenuated the depressing influence of MCM4 knockdown on NSCLC. Moreover, E2F1/MCM4 promoted the progression of NSCLC by activating the PI3K/AKT signaling pathway.

CONCLUSIONS

E2F1 accelerated NSCLC progression by activating the PI3K/AKT pathway through MCM4. Our outcomes confirmed that MCM4 is a potential target for the treatment of NSCLC patients.

Exploring the molecular interface of gene expression dynamics and prostate cancer susceptibility in response to HBCD exposure

Hexabromocyclododecane (HBCD), a brominated flame retardant, is linked to various health implications, including prostate cancer. This study explored the molecular mechanisms and potential biomarkers associated with HBCD exposure using data from the Comparative Toxicogenomics Database (CTD) and The Cancer Genome Atlas (TCGA). A total of 7,147 differentially expressed genes (DEGs) and 46 differentially expressed miRNAs were identified, with significant enrichment in cancer-related pathways and xenobiotic metabolism. Protein-protein interaction (PPI) network construction and enrichment analyses revealed four hub genes: DNAJC12, PKMYT1, RRM2, and SLC12A5. These genes displayed notable expression changes in response to HBCD exposure and were strongly correlated with survival outcomes in prostate cancer patients, as demonstrated by Cox regression and ROC curve analyses. Additionally, miRNA correlation analyses indicated robust positive associations, highlighting a coordinated regulatory network. Experimental expression analyses on HBCD-treated cell lines further validated these findings. This study sheds light on the significant impact of HBCD on gene and miRNA expression in prostate cancer, emphasizing the potential of the identified hub genes and miRNAs as prognostic biomarkers and therapeutic targets. By elucidating the pathways and regulatory networks influenced by HBCD, the findings provide a foundation for developing strategies to mitigate its carcinogenic effects and improve outcomes for prostate cancer patients.

Intermittent Fasting Attenuates Obesity-Induced Triple-Negative Breast Cancer Progression by Disrupting Cell Cycle, Epithelial-Mesenchymal Transition, Immune Contexture, and Proinflammatory Signature

Obesity is associated with one-fifth of cancer deaths, and breast cancer is one of the obesity-related cancers. Triple-negative breast cancer (TNBC) lacks estrogen and progesterone receptors and human epidermal growth factor receptor 2, leading to the absence of these therapeutic targets, followed by poor overall survival. We investigated if obesity could hasten TNBC progression and intermittent fasting (IF) could attenuate the progression of obesity-related TNBC. Our meta-analysis of the TNBC outcomes literature showed that obesity led to poorer overall survival in TNBC patients. Fasting-mimicking media reduced cell proliferation disrupted the cell cycle, and decreased cell migration and invasion. IF decreased body weight in obese mice but no change in normal mice. Obese mice exhibited elevated plasma glucose and cholesterol levels, increased tumor volume and weight, and enhanced macrophage accumulation in tumors. The obesity-exacerbated TNBC progression was attenuated after IF, which decreased cyclin B1 and vimentin levels and reduced the proinflammatory signature in the obesity-associated tumor microenvironment. IF attenuated obesity-induced TNBC progression through reduced obesity and tumor burdens in cell and animal experiments, supporting the potential of a cost-effective adjuvant IF therapy for TNBC through lifestyle change. Further evidence is needed of these IF benefits in TNBC, including from human clinical trials.

Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer

Background and Objectives: Breast cancer (BC) is one of the major causes of cancer-related death in women globally. Proper identification of BC-causing hub genes (HubGs) for prognosis, diagnosis, and therapies at an earlier stage may reduce such death rates. However, most of the previous studies detected HubGs through non-robust statistical approaches that are sensitive to outlying observations. Therefore, the main objectives of this study were to explore BC-causing potential HubGs from robustness viewpoints, highlighting their early prognostic, diagnostic, and therapeutic performance. Materials and Methods: Integrated robust statistics and bioinformatics methods and databases were used to obtain the required results. Results: We robustly identified 46 common differentially expressed genes (cDEGs) between BC and control samples from three microarrays (GSE26910, GSE42568, and GSE65194) and one scRNA-seq (GSE235168) dataset. Then, we identified eight cDEGs (COL11A1, COL10A1, CD36, ACACB, CD24, PLK1, UBE2C, and PDK4) as the BC-causing HubGs by the protein-protein interaction (PPI) network analysis of cDEGs. The performance of BC and survival probability prediction models with the expressions of HubGs from two independent datasets (GSE45827 and GSE54002) and the TCGA (The Cancer Genome Atlas) database showed that our proposed HubGs might be considered as diagnostic and prognostic biomarkers, where two genes, COL11A1 and CD24, exhibit better performance. The expression analysis of HubGs by Box plots with the TCGA database in different stages of BC progression indicated their early diagnosis and prognosis ability. The HubGs set enrichment analysis with GO (Gene ontology) terms and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways disclosed some BC-causing biological processes, molecular functions, and pathways. Finally, we suggested the top-ranked six drug molecules (Suramin, Rifaximin, Telmisartan, Tukysa Tucatinib, Lynparza Olaparib, and TG.02) for the treatment of BC by molecular docking analysis with the proposed HubGs-mediated receptors. Molecular docking analysis results also showed that these drug molecules may inhibit cancer-related post-translational modification (PTM) sites (Succinylation, phosphorylation, and ubiquitination) of hub proteins. Conclusions: This study's findings might be valuable resources for diagnosis, prognosis, and therapies at an earlier stage of BC.

Knockdown of NCAPG promotes the apoptosis and inhibits the invasion and migration of triple‑negative breast cancer MDA‑MB‑231 cells via regulation of EGFR/JAK/STAT3 signaling

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and the treatment options are extremely limited. Non-SMC condensing I complex subunit G (NCAPG) expression is upregulated in TNBC, but its specific regulatory mechanism in TNBC has not been previously reported. The expression levels of NCAPG in TNBC were analyzed using data obtained from the UALCAN database. RT-qPCR and western blotting were used to detect the expression of NCAPG in various breast cancer cell lines. The expression of NCAPG was knocked down, and cell viability was then detected using a CCK-8 assay, apoptosis was detected using a TUNEL assay, and the expression of the apoptosis-related proteins Bcl-2, Bax and Bad were detected by western blotting. Wound healing and Transwell assays were used to assess migration and invasion. Western blotting was also used to determine the expression levels of migration and invasion-related proteins MMP2 and MMP9, as well as EGFR/JAK/STAT3 pathway-related proteins. Following exogenous treatment with EGF and the JAK/STAT3 signaling pathway agonist colivelin, cell viability, apoptosis, invasion and migration were assessed. The expression of NCAPG in TNBC MDA-MB-231 cells was significantly increased. Inhibition of NCAPG inhibited the activity, promoted apoptosis, and inhibited the invasion and migration of TNBC MDA-MB-231 cells, potentially via regulation of the EGFR/JAK/STAT3 signaling pathway. In conclusion, downregulation of NCAPG can promote apoptosis and inhibit invasion and migration of TNBC MDA-MB-231 cells via EGFR/JAK/STAT3 signaling.

Bioinformatics and network-based screening and discovery of potential molecular targets and small molecular drugs for breast cancer

Accurate identification of molecular targets of disease plays an important role in diagnosis, prognosis, and therapies. Breast cancer (BC) is one of the most common malignant cancers in women worldwide. Thus, the objective of this study was to accurately identify a set of molecular targets and small molecular drugs that might be effective for BC diagnosis, prognosis, and therapies, by using existing bioinformatics and network-based approaches. Nine gene expression profiles (GSE54002, GSE29431, GSE124646, GSE42568, GSE45827, GSE10810, GSE65216, GSE36295, and GSE109169) collected from the Gene Expression Omnibus (GEO) database were used for bioinformatics analysis in this study. Two packages, LIMMA and clusterProfiler, in R were used to identify overlapping differential expressed genes (oDEGs) and significant GO and KEGG enrichment terms. We constructed a PPI (protein-protein interaction) network through the STRING database and identified eight key genes (KGs) EGFR, FN1, EZH2, MET, CDK1, AURKA, TOP2A, and BIRC5 by using six topological measures, betweenness, closeness, eccentricity, degree, MCC, and MNC, in the Analyze Network tool in Cytoscape. Three online databases GSCALite, Network Analyst, and GEPIA were used to analyze drug enrichment, regulatory interaction networks, and gene expression levels of KGs. We checked the prognostic power of KGs through the prediction model using the popular machine learning algorithm support vector machine (SVM). We suggested four TFs (TP63, MYC, SOX2, and KDM5B) and four miRNAs (hsa-mir-16-5p, hsa-mir-34a-5p, hsa-mir-1-3p, and hsa-mir-23b-3p) as key transcriptional and posttranscriptional regulators of KGs. Finally, we proposed 16 candidate repurposing drugs YM201636, masitinib, SB590885, GSK1070916, GSK2126458, ZSTK474, dasatinib, fedratinib, dabrafenib, methotrexate, trametinib, tubastatin A, BIX02189, CP466722, afatinib, and belinostat for BC through molecular docking analysis. Using BC cell lines, we validated that masitinib inhibits the mTOR signaling pathway and induces apoptotic cell death. Therefore, the proposed results might play an effective role in the treatment of BC patients.

The role of NCAPG in various of tumors

Non-SMC Condensin I complex subunit G (NCAPG), a mitosis-associated chromosomal condensation protein, is related to sister chromatid appropriate separation during the condensation and fusion of chromosomes and responsible for the condensation and stabilization of chromosomes during meiosis and mitosis. Studies have shown that NCAPG is highly adjusted in a variety of cancers, and its related molecular mechanism affects tumor cell proliferation, invasion, metastasis, and apoptosis including hepatocellular carcinoma, prostate cancer, breast cancer, gastric cancer, gliomas, lung adenocarcinoma, colorectal cancer, ovarian cancer, and endometrial cancer. Clinically, the expression of NCAPG is strongly correlated with N-classification, M-classification, and clinical stage, and NCAPG is valuable for the prognosis of patients with lung adenocarcinoma. In addition, NCAPG can also reduce the sensitivity of tumor cells such as breast cancer to reduce the reaction of the original chemotherapy, so that tumor cells are drug-resistance. In summary, NCAPG can serve as a new diagnosis and treatment target for a variety of cancers, and is also a very promising prognostic marker. Therefore, this review summarizes the critical role of NCAPG in the diagnosis, treatment, and prognosis for various cancers, and the mechanism by which NCAPG plays its pivotal roles.

Screening potential immune signatures for early-stage basal-like/triple-negative breast cancer

Background

Breast cancer (BC) is a highly heterogeneous disease. Among the BC molecular subtypes, basal-like/triple-negative BC (TNBC) is characterized by a high propensity for relatively early metastases and a lack of available endocrine and targeted therapies. Therefore, this study aimed to discover potential signatures for predicting the immune response in early-stage basal-like/triple-negative BC.

Method

A total of 86 cases of early-stage TNBC from the TCGA and 459 cases of normal breast tissue from GTEx were enrolled and analyzed to screen out differentially expressed genes (DEGs). Then, the prognostic effect and tumor immune cell infiltration relationship with the basal-like-specific DEGs were also evaluated.

Results

A total of 1556 DEGs, including 929 upregulated genes and 627 downregulated genes, were screened in early-stage basal-like BC. Two prognosis-associated DEGs, GAL and TTC36, were finally found to be basal-like BC specific. However, only GAL was significantly correlated with tumor immune-infiltrating cells, especially CD8⁺ T cells. The expressions of GAL and TTC36 were revalidated by using the GEO dataset.

Conclusion

GAL might be an immune signature for the response to immune checkpoint therapy in early basal-like/triple-negative BC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-022-02683-2.