Cancer-Derived Extracellular Vesicle ITGB2 Promotes the Progression of Triple-Negative Breast Cancer via the Activation of Cancer-Associated Fibroblasts.

Breast cancer is the most prevalent cancer and a leading cause of death among women globally, posing a significant public health challenge. Triple-negative breast cancer (TNBC), an aggressive subtype accounting for 15-20% of all breast cancers, lacks targeted therapies due to the absence of hormone receptors and HER2, resulting in poor prognosis and high recurrence rates. This study investigates the role of cancer-derived extracellular vesicle (EV) integrin beta-2 (ITGB2) in TNBC progression.

c-Myc knockdown restores tamoxifen sensitivity in triple-negative breast cancer by reactivating the expression of ERα: the central role of miR-152 and miR-148a.

Background: Poor prognosis of triple-negative breast cancer (TNBC) is owing to its intrinsic heterogeneity and lack of targeted therapies. Emerging evidence has characterized that targeting c-Myc might be a promising way to treat TNBC.

Methods: c-Myc knocked down TNBC cells were generated and the tamoxifen sensitivity was determined.

IGF2BP3 prefers to regulate alternative splicing of genes associated with the progression of gastric cancer in AGS cells.

Gastric cancer (GC) has become the fifth largest malignant tumor in the world, with a mortality rate ranking fourth. IGF2BP3, as a multifunctional RNA binding protein, is involved in regulating alternative splicing (AS) and mA modification, and plays a carcinogenic role in the development of gastric cancer, while little is known about the impact of IGF2BP3 on alternative splicing in gastric cancer cells and the underlying mechanism. In this study, we overexpressed IGF2BP3 (IGF2BP3-OE) in gastric cancer AGS cells and obtained transcriptome sequencing data (RNA-seq) to explore the effects of IGF2BP3 on gene expression and AS.

Prognostic value of preoperative modified Glasgow prognostic score in predicting overall survival in breast cancer patients: A retrospective cohort study.

The modified Glasgow prognostic score (mGPS), based on C-reactive protein and albumin levels, is an inflammation-based prognostic tool used in various cancers. However, related research in breast cancer is limited. The present study evaluated the prognostic value of the preoperative mGPS in predicting overall survival (OS) of patients with breast cancer undergoing surgery.

Multimodal separation and cross fusion network based on Raman spectroscopy and FTIR spectroscopy for diagnosis of thyroid malignant tumor metastasis.

The diagnosis of cervical lymph node metastasis from thyroid cancer is an essential stage in the progression of thyroid cancer. The metastasis of cervical lymph nodes directly affects the prognosis and survival rate of patients. Therefore, timely and early diagnosis is crucial for effective treatment and can significantly improve patients' survival rate and quality of life.

Identifying a CD8T cell signature in the tumor microenvironment to forecast gastric cancer outcomes from sequencing data.

Background: The tumor microenvironment (TME) could be critical in carcinogenesis, immune evasion, and treatment response. TME-related genes are limited in their ability to predict gastric cancer (GC) outcomes. We utilized data from The Cancer Genome Atlas (TCGA) to investigate the functional roles of TME-related genes in GC.

Tailoring Escalation Adjuvant Therapy for Early-Stage Triple-Negative Breast Cancer in the CBCSG010 Clinical Trial Biomarker Analysis.

Background: Triple-negative breast cancer (TNBC) is a highly heterogeneous disease. The CBCSG010 trial is a prospective and multicenter phase III clinical trial confirming that adding adjuvant capecitabine significantly improved the 5-year disease-free survival (DFS) rate in patients with TNBC by 5.9%.

Correlative expression of exosomal miRNAs in chemotherapy resistance of triple-negative breast cancer: An observational study.

Drug resistance in tumors is the primary contributor to clinical treatment failures, and aberrant expression of small RNA molecules, specifically microRNAs (miRNAs), in tumor tissues is intricately associated with drug resistance. The aim of this study is to investigate the targets and mechanisms through which exosomal miRNAs from triple-negative breast cancer (TNBC) regulate chemotherapy resistance in tumor cells. Utilizing high-throughput sequencing technology, we conducted exosomal miRNA sequencing on serum samples obtained from TNBC patients who were either sensitive or resistant to AC-sequential T chemotherapy.

Use of ultrasound imaging Omics in predicting molecular typing and assessing the risk of postoperative recurrence in breast cancer.

Background: The aim of this study is to assess the efficacy of a multiparametric ultrasound imaging omics model in predicting the risk of postoperative recurrence and molecular typing of breast cancer.

Methods: A retrospective analysis was conducted on 534 female patients diagnosed with breast cancer through preoperative ultrasonography and pathology, from January 2018 to June 2023 at the Affiliated Cancer Hospital of Xinjiang Medical University. Univariate analysis and multifactorial logistic regression modeling were used to identify independent risk factors associated with clinical characteristics.

Role of ICAM-1 in triple-negative breast cancer.

Intercellular adhesion molecule-1 (ICAM-1) is related to the occurrence and development of a variety of tumors. However, the role of ICAM-1 in the regulation of growth, metastasis, and clinical prognosis of the specific molecular subtypes of breast cancer, triple-negative breast cancer (TNBC), remains to be elucidated. This study explored the role of ICAM-1 in breast cancer and its triple-negative subtypes by systematic bioinformatics methods.

Erratum to "BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells".

[This corrects the article DOI: 10.1515/biol-2020-0054.].

A Flexible Eddy Current TMR Sensor for Monitoring Internal Fatigue Crack.

This paper proposes a flexible eddy current TMR (FEC-TMR) sensor to monitor the internal crack of metal joint structures. First, the finite element model of the FEC-TMR sensor is established to analyze the influence of the sensor's crack identification sensitivity with internal crack propagation at different depths and determine the optimal location and exciting frequency of the sensor. Then, the optimal longitudinal spacing and exciting frequency of the sensor are tested by experiment.

Down-regulation of COL1A1 inhibits tumor-associated fibroblast activation and mediates matrix remodeling in the tumor microenvironment of breast cancer.

We investigated the effects of collagen type I alpha 1 (COL1A1) on tumor-associated fibroblast activation and matrix remodeling in the tumor microenvironment of breast cancer. Cells were divided into the blank control, negative control, and siRNA-COL1A1 groups, or HKF control, HKF + exosomes (EXO), HKF + siRNA negative control-EXO, and HKF + siRNA-COL1A1-EXO co-culture groups. Western blot and quantitative real-time PCR detected gene expressions.

Predictive miRNAs Patterns in Blood of Breast Cancer Patients Demonstrating Resistance Towards Neoadjuvant Chemotherapy.

Objective: The effect of chemotherapy in patients with breast cancer (BC) is uncertain. This study attempted to analyze serum microRNAs (miRNAs) in NAC resistant and sensitive BC patients and develop a miRNA-based nomogram model. To further help clinicians make treatment decisions for hormone receptor-positive patients.

Screening and Bioinformatics Analysis of MicroRNA Biomarkers in Triple-Negative Breast Cancer.

Objective: To identify and evaluate the bioinformatics of microRNA (miRNA) biomarkers in triple-negative breast cancer.

Methods: The MDA-MB-231 cell line with stable and low expression of c-Myc was created, and the expression patterns of messenger RNA (mRNA) and miRNA were investigated by cluster analysis. The genes regulated by c-Myc were then screened by transcriptome sequencing and miRNA sequencing.

Dual Target of EGFR and mTOR Suppresses Triple-Negative Breast Cancer Cell Growth by Regulating the Phosphorylation of mTOR Downstream Proteins.

Objective: To detect the activation of the EGFR and mTOR signaling pathways in the triple negative breast cancer cell line MDA-MB-468 and investigate the inhibitory effect of gefitinib, an epidermal growth factor receptor inhibitor, and everolimus, a target protein inhibitor of rapamycin, on triple negative breast cancer cells.

Methods: Triple negative human breast cancer MDA-MB-468 cells were cultured and blank control group, single EGFR inhibitor gefitinib group, single mTOR inhibitor everolimus group, and two drug combination group were set up respectively to detect the effects of single and combined drugs on cell proliferation activity, cell cycle and apoptosis, and the expression of EGFR and mTOR signal pathway proteins in cell lines after single and combined drug intervention was detected again by Western blot.

Results: The level of EGFR and p-mTOR protein in triple negative breast cancer was higher than in non triple negative breast cancer (<0.

Exosomal miR-655-3p inhibits growth, and invasion and macrophage M2 polarization through targeting CXCR4 in papillary thyroid carcinoma.

Papillary thyroid cancer (PTC) is an endocrine malignancy whose incidence has increased rapidly worldwide. Exosome-miR-655-3p was down-regulated in patients with PTC. However, the effect and molecular mechanism of exosome-miR-655-3p in PTC was indistinct until now.

The Involvement of Insulin-Like Growth Factor 2 Messenger Ribonucleic Acid-Binding Protein 2 in the Regulation of the Expression of Breast Cancer-Related Genes.

Aim: This study investigated the role and mechanism of insulin-like growth factor 2-IGF2BP2 in breast cancer.

Methods: IGF2BP2 is overexpressed in MDA-MB-231 human breast cancer cells. Thus, RNA sequencing was used to analyze the differentially expressed genes, Cell Counting Kit-8 was used to detect cell proliferation, and a Transwell assay was used to assess cell invasion.

Serum Raman spectroscopy combined with multiple classification models for rapid diagnosis of breast cancer.

Breast cancer is a malignant tumor with the highest incidence rate in women. Current diagnostic methods are time-consuming, costly, and dependent on physician experience. In this study, we used serum Raman spectroscopy combined with multiple classification algorithms to implement an auxiliary diagnosis method for breast cancer, which will help in the early diagnosis of breast cancer patients.

Grouped-sampling technique to deal with unbalance in Raman spectral data modeling.

Due to limitations in disease prevalence and hospital specificity, spectral data are often collected with unbalanced sample size. To solve this problem, a new sampling method - grouped-sampling was proposed in this research, which is shown to be effective for unbalanced data. It avoids over-fitting of over-sampling and overcomes under-sampling utilization of under-sampling.

Thyroidectomy Using the Lateral Cervical Small Incision Approach for Early Thyroid Cancer.

Objective: Surgical resection is the main treatment for thyroid cancer, but while traditional open thyroidectomy improves prognosis, it also results in poor cosmetic outcomes. Therefore, we devised the lateral cervical small incision approach to thyroidectomy and will evaluate its efficacy.

Methods: The clinicopathological data of 191 patients who underwent unilateral thyroidectomy and isthmusectomy for early thyroid cancer were collected retrospectively.

The role of microRNA-4723-5p regulated by c-myc in triple-negative breast cancer.

The aim of this study was to investigate the expression of miRNA regulated by c-myc and its mechanism in three negative breast cancer (TNBC). We constructed MDA-MB-231 cell line with low expression of c-myc by lentivirus short hairpin RNA (shRNA), analyzed the miRNA expression profile of MDA-MB-231 cell line with different expression levels of c-myc by high-throughput sequencing technology, obtained differential miRNA by bioinformatics analysis and statistical analysis, and verified hsa-mir-4723-5p by Quantitative Real-time polymerase chain reaction(QRT-PCR). The target gene of hsa-mir-4723-5p was analyzed by miRDB and miRWalk database.