Prognostic impact of lymph node invasion levels in patients with bladder cancer undergoing radical cystectomy and pelvic lymphadenectomy

Extranodal extension in metastatic lymph nodes (LNs) is a poor prognostic factor in bladder cancer (BC). Furthermore, cancer invasion levels in sentinel LNs are associated with prognosis in melanoma. The present study aimed to evaluate the LN invasion level, defined as the extent of cancer invasion in anatomical and immunological LN substructures, and compare it with the pathological node (pN) stage of the tumor-node-metastasis staging system in BC. A total of 98 patients with BC who underwent radical cystectomy and pelvic lymphadenectomy were retrospectively assessed. The LN invasion level was classified as follows: Level 0, no cancer cell within the resected LNs; Level 1, cancer cells confined to intracapsular lymph vessels and subcapsular or transverse sinuses; Level 2, cancer cells infiltrating the cortex, paracortex or medulla; and Level 3, cancer cells infiltrating or beyond the LN capsule. The proportion of patients with Levels 0, 1, 2 and 3 was 70.4% (69/98), 8.2% (8/98), 14.3% (14/98) and 7.1% (7/98), respectively. Kaplan-Meier survival curves of recurrence-free survival (RFS), cancer-specific survival (CSS) and overall survival (OS) with LN invasion levels better stratified outcome patient when using Levels 1-3 compared with pN1-3. In addition, LN invasion levels better predicted RFS, CSS and OS, in comparison with the pN stage (c-index of 0.672 vs. 0.646, 0.688 vs. 0.665, and 0.702 vs. 0.661, respectively). Finally, multivariate analysis revealed that the predictive accuracy of the model integrating pathological tumor (pT) stage and LN invasion levels in RFS, CSS and OS was greater than that of the conventional model that included pT and pN stage (c-index of 0.723 vs. 0.703, 0.710 vs. 0.694, and 0.725 vs. 0.692, respectively). In conclusion, the model with LN invasion levels accurately predicted the prognosis of patients with BC after radical cystectomy and pelvic lymphadenectomy.

TNFRSF11B promotes the progression of bladder cancer through PI3K/AKT signaling pathway

TNFRSF11B contributes to tumorigenesis in many malignancies. Nevertheless, its function and underlying tumorigenic mechanism in bladder cancer (BC) has been rare. The clinical significance and relevant signaling pathway of TNFRSF11B in BC were assessed using bioinformatic analysis. The determination of TNFRSF11B expression was conducted in bladder tissues and BC cells. BC cells were subjected to functional experiments to evaluate their ability to proliferate, migrate, and invade. Cell apoptosis experiments were conducted. The protein levels of markers associated with epithelial-mesenchymal transition (EMT) and molecules linked to the PI3K/AKT pathway were assessed. To evaluate the effect of the PI3K/AKT pathway on TNFRSF11B, LY294002, a PI3K/AKT pathway inhibitor, was utilized. TNFRSF11B exhibited significant upregulation in both BC tissues and various cell lines. Inhibited TNFRSF11B expression impeded the growth, movement, infiltration of BC cells. Conversely, the ultimate outcome varied when TNFRSF11B was overexpressed. In vivo assay further confirmed the above results. Furthermore, TNFRSF11B promoted malignant traits by controlling the PI3K/AKT pathway. In BC, TNFRSF11B exhibits elevated expression levels and has a substantial tumor-promoting role in BC via the PI3K/AKT pathway. Importantly, TNFRSF11B may represent a valuable prognostic tumor marker for BC treatment.

FGFR‑related phenotypic and functional profile of CAFs in prognostication of breast cancer (Review)

While preclinical studies consistently implicate FGFR‑signalling in breast cancer (BC) progression, clinical evidence fails to support these findings. It may be that the clinical significance of FGFR ought to be analysed in the context of the stroma, activating or repressing its function. The present review aimed to provide such a context by summarizing the existing data on the prognostic and/or predictive value of selected cancer‑associated fibroblasts (CAFs)‑related factors, that either directly or indirectly may affect FGFR‑signalling. PubMed (https://pubmed.ncbi.nlm.nih.gov/) and Medline (https://www.nlm.nih.gov/medline/medline_home.html) databases were searched for the relevant literature related to the prognostic and/or predictive significance of: CAFs phenotypic markers (αSMA, S100A4/FSP‑1, PDGFR, PDPN and FAP), CAFs‑derived cognate FGFR ligands (FGF2, FGF5 and FGF17) or inducers of CAFs' paracrine activity (TGF‑β1, HDGF, PDGF, CXCL8, CCL5, CCL2, IL‑6, HH and EGF) both expressed in the tumour and circulating in the blood. A total of 68 articles were selected and thoroughly analysed. The findings consistently identified upregulation of αSMA, S100A4/FSP‑1, PDGFR, PDPN, HDGF, PDGF, CXCL8, CCL5, CCL2, IL‑6, HH and EGF as poor prognostic markers in BC, while evaluation of the prognostic value of the remaining markers varied between the studies. The data confirm an association of CAFs‑specific features with BC prognosis, suggesting that both quantitative and qualitative profiling of the stroma might be required for an assessment of the true FGFR's clinical value.

Multifaceted Role of Vitamin D in Breast Cancer: A Systematic Review of Genetic and Pathway-Based Mechanisms

BACKGROUND

Despite advancements in breast cancer (BC) diagnosis and treatment, it continues to be a serious health concern among women due to its high incidence rate. Thus, prevention strategies in BC are essential. Some nutrients such as vitamin D may play a preventive role against BC through different genes which have a vital role in several pathways. These pathways include autophagy, tumorigenesis, apoptosis, immunity, and genome stability. This study aimed to review the role of vitamin D in BC via the network of vitamin D-regulated pathways.

METHODS

This systematic review was conducted following PRISMA guidelines. PubMed, ScienceDirect, and Scopus were searched using a combination of MeSH terms and keywords related to molecular and cellular mechanisms of the effects of vitamin D on breast cancer. A total of 200 articles were initially found, from which 14 relevant studies were selected based on specific inclusion and exclusion criteria.

RESULTS

Experimental studies have shown possible anti-carcinogenic effects of vitamin D-related genes due to their participation in regulating autophagy, tumorigenesis, apoptosis, immunity, and genome stability in normal and malignant breast cells. Moreover, vitamin D deficiency has the potential to create a supportive environment that promotes proangiogenic processes, tumor cell dissemination, metastasis, and establishment at secondary sites.

CONCLUSION

Vitamin D may have systematic roles against BC in humans through various interactions with different genes, which have roles in different and important pathways as underlying mechanisms in the pathophysiology of BC. More broadly, research is also needed to determine the exact protective effect of vitamin D on BC risk.

Identification potential biomarkers for diagnosis, and progress of breast cancer by using high-pressure photon ionization time-of-flight mass spectrometry

BACKGROUND

In this study, exhaled breath testing has been considered a promising method for the detection and monitoring of breast cancer (BC).

METHODS

A high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS) platform was used to detect volatile organic compounds (VOCs) in breath samples. Then, machine learning (ML) models were constructed on VOCs for the diagnosis of BC and its progression monitoring. Ultimately, 1981 women with useable breath samples were included in the study, of whom 937 (47.3 %) had been diagnosed with BC. VOC panels were used for ML model construction for BC detection and progression monitoring.

RESULTS

On the blinded testing cohort, this VOC-based model successfully differentiated patients with and without BC with sensitivity, specificity, and area under receiver operator characteristic curve (AUC) values of 85.9 %, 90.4 %, and 0.946. The corresponding AUC values when differentiating between patients with and without lymph node metastasis (LNM) or between patients with tumor-node-metastasis (TNM) stage 0/I/II or III/IV disease were 0.840 and 0.708, respectively. While developed VOC-based models exhibited poor performance when attempting to differentiate between patients based on pathological patterns (Ductal carcinoma in situ (DCIS) vs Invasive BC (IBC)) or molecular subtypes (Luminal vs Human epidermal growth factor receptor 2 (HER2+) vs Triple-negative BC (TNBC)) of BC.

CONCLUSION

Collectively, the HPPI-TOFMS-based breathomics approaches may offer value for the detection and progression monitoring of BC. Additional research is necessary to explore the fundamental mechanisms of the identified VOCs.

Prognostic significance of the neutrophil to lymphocyte ratio in locally advanced breast cancer

The present study aimed to clarify the prognostic role of the pre-treatment neutrophil-to-lymphocyte ratio (NLR) for the response to neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC). Due to conflicting results in currently available data, the specific focus of the present study was on evaluating the associations between the pre-treatment NLR and the rate of achieving a pathological complete response (pCR) and survival outcomes. For the present study, data from a cohort of 465 consecutive patients with LABC who underwent NAC at King Feisal Specialist Hospital and Research Center (Riyadh, Saudi Arabia) between 2005 and 2014 were obtained from a prospective BC database and analyzed. Patients were stratified into two groups based on an optimal NLR cut-off determined using the receiver operating characteristic curve. Logistic regression analyses were conducted to assess variables associated with pCR, and Cox regression analyses were used to assess variables associated with survival outcomes. The low pre-treatment NLR group (≤2.2) was found to exhibit a higher likelihood of achieving a pCR (odds ratio, 2.59; 95% CI, 1.52-4.38; P<0.001), along with higher 5-year disease-free survival (DFS) [75.8 vs. 64.9%; hazard ratio (HR), 0.69; 95% CI, 0.50-0.94; P=0.02] and 5-year overall survival (OS; 90.3 vs. 81.9; HR, 0.62; 95% CI, 0.39-0.98; P=0.04) rates compared with those in the high NLR group (>2.2). Sub-group analysis revealed that the observed significance in survival outcomes was driven by the triple-negative BC (TNBC) subgroup. Patients with residual TNBC disease and a high pre-treatment NLR were observed to have lower 5-year DFS (44.4 vs. 75.0%; P=0.02) and 5-year OS (55.9 vs. 84.5%; P=0.055) rates compared with those with residual TNBC disease and a low NLR. To conclude, data from the present study suggest that the pre-treatment NLR can serve as a viable independent prognostic factor for pCR following NAC in patients with LABC and for survival outcomes, particularly for patients with TNBC.

EXOSC2 Mediates the Pro-tumor Role of WTAP in Breast Cancer Cells via Activating the Wnt/β-Catenin Signal

BC (breast cancer) is the leading cause of cancer death in women. Exosome component 2 (EXOSC2), an RNA exosome component, is elevated in BC tissues and may relate to BC carcinogenesis. In this work, the high EXOSC2 expression was correlated with TNM (Tumor Node Metastasis) stage. Moreover, overexpression of EXOSC2 enhanced tumorigenic capacity of BC cells via facilitating cell proliferation and cell cycle progression, increasing migration and angiogenesis, as well as exacerbating xenograft formation in vivo. Whereas, EXOSC2 knockdown showed anti-cancer effects, including inhibition of cell proliferation and angiogenesis. Mechanistically, EXOSC2 activated the wnt/β-catenin pathway, which was also abolished by EXOSC2 knockdown. In addition, there were m6A methylation modification sites in the mRNA of EXOSC2. WTAP (Wilms tumor 1-associated protein) bound to EXOSC2 mRNA and increased its m6A methylation, resulting in extending the half-life of EXOSC2 mRNA. Luciferase data also confirmed that WTAP enhanced EXOSC2 mRNA stability through binding with the 3'-UTR containing m6A sites. Furthermore, WTAP silencing exhibited cancer-inhibiting effects on cell viability, cell cycle progression and tube formation, which was effectively reversed by EXOSC2 overexpression. In conclusion, our results demonstrate that EXOSC2 promotes the malignant behaviors of BC cells via activating the wnt/β-catenin pathway. In addition, EXOSC2 mediates the function of WTAP which contributes to the m6A modification of EXOSC2. Totally, this study suggested that EXOSC2 mediated the pro-tumor role of WTAP via activating the wnt/β-catenin signal.

Beyond cancer treatment: dermo-aesthetic and other wellness recommendations for breast cancer patients

Breast cancer, a prevalent malignancy among women, has various physical and psychological impacts. This comprehensive review offers an in-depth look at multidisciplinary dermo-aesthetic intervention approaches, emphasizing the balance between oncological therapies and the management of these effects. The information presented spans specialties such as aesthetic medicine, plastic surgery, dermatology, physiotherapy, nutrition, odontology, and gynecology. This review, which serves as a clinical guide, aims to establish a safe protocol for non-medical interventions involving oncologists, physicians, and specialists from various areas in patients with breast cancer focused on improving their quality of life. This work offers personalized and integrative care strategies for the eradication of cancer. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment.

Autophagy Modulation in Therapeutic Strategy of Breast Cancer Drug Resistance

Breast cancer (BC) is a prevalent malignancy globally. Autophagy plays a pivotal role in all stages of this disease, including development, metastasis, and onset. Therefore, it is envisaged that targeting cell autophagy through appropriate tactics would evolve into a novel breast cancer prevention and therapy strategy. A multitude of chemotherapeutic medications can stimulate autophagy in tumor cells. It has led to divergent opinions on the function of autophagy in cancer treatment, as both stimulating and blocking autophagy can improve the effectiveness of anticancer medications. Consequently, the decision of whether to stimulate or inhibit autophagy during breast cancer treatment has become crucial. Understanding the distinctive mechanisms of autophagy in BC and its significance in medication therapy might facilitate the creation of targeted treatment plans based on the roles particular to autophagy. This review summarizes recent studies on the autophagy mechanism in breast cancer and provides insights into autophagy-based BC therapeutic techniques, giving fresh avenues for future BC treatment.

Breast self-examination among female medical students at Damascus University: A cross-sectional study

Introduction

Breast cancer (BC) is the leading cause of death in Syria. In young females, it is a serious complication, making it crucial to raise awareness about the disease and its early detection methods. Given the challenging circumstances that Syrians face, regular visits to medical centers for mammography are often not feasible. Therefore, breast self-examination (BSE) is a valuable tool for detecting cancer. Educating girls in medical colleges is key to disseminating knowledge about BSE among women, as they will become future healthcare providers and can share accurate information with their families.

Materials and methods

A cross-sectional study was conducted in the medical faculties of Damascus University (medicine, dentistry, and pharmacy), Syria. The study utilized a structured questionnaire on Google Forms with four sections. The questionnaire was prepared electronically, and shared as an online link in formal university groups on social media. Data collection started on September 19, 2022, and ended on October 19 of the same year. Participation was accepted from female students in medical colleges, ranging from second to fifth year (for dental and pharmacy students) and sixth year (for medical students). Data from other students and incomplete data were excluded.

Results

589 female medical students from three faculties (medicine, dentistry, and pharmacy) filled out the questionnaire. Only 57 % of the students demonstrated a good attitude towards BSE, and 79.6 % of them agreed or strongly agreed that they avoid BSE due to fear of the consequences of breast cancer. Regarding BSE knowledge, 89.6 % of the participants reported previously hearing about BSE, and 55.7 % of them had performed BSE before. The factors that were accompanied by better knowledge about BSE were: a good attitude towards BSE; previously performed BSE; studying in a medical faculty; study years for medical and pharmacy students; and higher college average grades. Whereas, having a medical relative and having a family member with a history of BC surprisingly do not impact the knowledge.

Conclusion

The study, conducted at Damascus University in Syria, assessed the knowledge and practice of breast self-examination among female medical college students. The results indicate a moderate level of knowledge and limited practical experience in performing breast self-examination. These findings highlight the urgent need to emphasize the importance of promoting and teaching this method to a wider population of women in society.

Implementing fencing as adapted physical activity in non-metastatic breast cancer patients: design and early rehabilitation strategy of the FENICE study protocol

Background

Improving prognosis of BC patients has drawn the attention of health care professionals on disease related long-term side effects and on the multiple treatments BC patients must undergo. Despite advances in procedures, surgery still has multiple detrimental effects, including pain, edema, and limited mobility. For this reason, fostering adapted physical activity (APA) and healthy lifestyle (including a balanced diet and weight management) should become an everyday purpose of healthcare professionals. Fencing may be a well-suited activity to counteract fatigue, pain, and limited arm mobility.

Method and analysis

The FENICE study is a mono-center, randomized clinical trial targeting women with BC stages I-III within four weeks from BC surgery. Participants in the control arm will receive the usual recommendations based on the good clinical practice guidelines. In the study arm, participants will be treated with the usual clinical and therapeutic recommendations together with APA and correct lifestyle suggestions.

Objective

The primary objective of the study is to compare whether implementation of APA and healthy lifestyle in BC patient after surgery will result in an overall improvement of physical and mental status.

Conclusion

Fencing and its early application in postoperative period may represent a feasible strategy to be implemented in the rehabilitation journey of BC patients.

Ethics and dissemination

The study protocol FENICE has been approved by an Italian Ethics Committee on May 2023 (R.S 100.23 5th May 2023).

Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review

BACKGROUND & OBJECTIVE

The use of machine learning for air pollution modelling is rapidly increasing. We conducted a systematic review of studies comparing statistical and machine learning models predicting the spatiotemporal variation of ambient nitrogen dioxide (NO2), ultrafine particles (UFPs) and black carbon (BC) to determine whether and in which scenarios machine learning generates more accurate predictions.

METHODS

Web of Science and Scopus were searched up to June 13, 2024. All records were screened by two independent reviewers. Differences in the coefficient of determination (R2) and Root Mean Square Error (RMSE) between best statistical and machine learning methods were compared across categories of methodological elements.

RESULTS

A total of 38 studies with 46 model comparisons (30 for NO2, 8 for UFPs and 8 for BC) were included. Linear non-regularized methods and Random Forest were most frequently used. Machine learning outperformed statistical models in 34 comparisons. Mean differences (95% confidence intervals) in R2 and RMSE between best machine learning and statistical models were 0.12 (0.08, 0.17) and 20% (11%, 29%) respectively. Tree-based methods performed best in 12 of 17 multi-model comparisons. Nonlinear or regularization regression methods were used in only 12 comparisons and provided similar performance to machine learning methods.

CONCLUSION

This systematic review suggests that machine learning methods, especially tree-based methods, may be superior to linear non-regularized methods for predicting ambient concentrations of NO2, UFPs and BC. Additional comparison studies using nonlinear, regularized and a wider array of machine learning methods are needed to confirm their relative performance. Future air pollution studies would also benefit from more explicit and standardized reporting of methodologies and results.

Evaluation of 5'-tRF-His-GTG As a Molecular Biomarker in Breast Cancer Diagnoses and Prognosis

Background: Breast cancer (BC) is the most prevalent cancer among women worldwide. Although advances have been made in the identification of predictive biomarkers, current options for early diagnosis and prognostic analysis are still suboptimal. Recently, transfer-RNA-derived RNA fragments (tRFs) have emerged as a class of small noncoding RNAs that play a role in the cancer progression. The authors aimed to identify a specific class of tRFs as a molecular marker for BC diagnosis and prognosis in clinical management. Methods: The levels of 5'-tRF-His-GTG were quantified in BC tissue (n = 101) and inflammatory normal breast tissue (n = 22) using in situ hybridization. Clinicopathological parameters were obtained, including age, tumor node metastasis stage, hormone receptor status, histopathological grade, lymphovascular invasion, and recurrence. The correlation between the expression of 5'-tRF-His-GTG and these parameters in different BC subtypes was analyzed. Patient death and cancer progression were regarded as clinical endpoints in the survival analysis. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were also performed to predict the involvement in pivotal biological process. Results: The expression of 5'-tRF-His-GTG was significantly downregulated in BC tissues and was in connection with T stage in human epidermal growth factor 2-positive and basal-like BC, as well as N stage and histopathological grade in luminal BC. Patients with low expression of 5'-tRF-His-GTG had a poor overall survival rate. Statistics of GO and KEGG pathway revealed that cation channel activity, protein catabolic process, response to temperature stimulus, cell cycle, focal adhesion, and glycerophospholipid metabolism were significantly enriched. Conclusions: This study suggests that the assessment of 5'-tRF-His-GTG expression could serve as a novel biomarker for individual diagnosis and prognosis in BC.

3D Bioprinting-Based Dopamine-Coupled Flexible Material for Nasal Cartilage Repair

INTRODUCTION

Since 3D printing can be used to design implants according to the specific conditions of patients, it has become an emerging technology in tissue engineering and regenerative medicine. How to improve the mechanical, elastic and adhesion properties of 3D-printed photocrosslinked hydrogels is the focus of cartilage tissue repair and reconstruction research.

MATERIALS AND METHODS

We established a strategy for toughening hydrogels by mixing GelMA-DOPA (GD), which is prepared by coupling dopamine (DA) with GelMA, with HAMA, bacterial cellulose (BC) to produce composite hydrogels (HB-GD). HB-GD hydrogel scaffolds were characterized in vitro by scanning electron microscopy (SEM), Young's modulus, swelling property and rheological property tests. And biocompatibility and chondrogenic ability were tested by live/dead staining, DNA quantitative analysis and immunofluorescence staining. Combined with 3D bioprinting technology, mouse chondrocytes (ADTC5) were added to form a biological chain to construct an in vitro model, and the feasibility of the model for nasal cartilage regeneration was verified by cytology evaluation.

RESULTS

With the increase of GD concentration, the toughness of the composite hydrogel increased (47.0 ± 2.7 kPa (HB-5GD)-158 ± 3.2 kPa (HB-20GD)), and it had excellent swelling properties, rheological properties and printing properties. The HB-GD composite hydrogel promoted the proliferation and differentiation of ATDC5. Cells in 3D printed scaffolds had higher survival rates (> 95%) and better protein expression than the encapsulated cultures.

CONCLUSION

The HB-10GD hydrogel can be made into a porous scaffold with precise shape, good internal pore structure, high mechanical strength and good swelling rate through extrusion 3D printing.

NO LEVEL ASSIGNED

This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Navigating the Metaverse: A New Virtual Tool with Promising Real Benefits for Breast Cancer Patients

BC, affecting both women and men, is a complex disease where early diagnosis plays a crucial role in successful treatment and enhances patient survival rates. The Metaverse, a virtual world, may offer new, personalized approaches to diagnosing and treating BC. Although Artificial Intelligence (AI) is still in its early stages, its rapid advancement indicates potential applications within the healthcare sector, including consolidating patient information in one accessible location. This could provide physicians with more comprehensive insights into disease details. Leveraging the Metaverse could facilitate clinical data analysis and improve the precision of diagnosis, potentially allowing for more tailored treatments for BC patients. However, while this article highlights the possible transformative impacts of virtual technologies on BC treatment, it is important to approach these developments with cautious optimism, recognizing the need for further research and validation to ensure enhanced patient care with greater accuracy and efficiency.

Combining In Vitro, In Vivo, and Network Pharmacology Assays to Identify Targets and Molecular Mechanisms of Spirulina-Derived Biomolecules against Breast Cancer

The current research employed an animal model of 7,12-dimethylbenz(a)anthracene (DMBA)-induced mammary gland carcinogenesis. The estrogen receptor-positive human breast adenocarcinoma cell line (MCF-7) was used for in vitro analysis. This was combined with a network pharmacology-based approach to assess the anticancer properties of Spirulina (SP) extract and understand its molecular mechanisms. The results showed that the administration of 1 g/kg of SP increased the antioxidant activity by raising levels of catalase (CAT) and superoxide dismutase (SOD), while decreasing the levels of malonaldehyde (MDA) and protein carbonyl. A histological examination revealed reduced tumor occurrence, decreased estrogen receptor expression, suppressed cell proliferation, and promoted apoptosis in SP protected animals. In addition, SP disrupted the G2/M phase of the MCF-7 cell cycle, inducing apoptosis and reactive oxygen species (ROS) accumulation. It also enhanced intrinsic apoptosis in MCF-7 cells by upregulating cytochrome c, Bax, caspase-8, caspase-9, and caspase-7 proteins, while downregulating Bcl-2 production. The main compounds identified in the LC-MS/MS study of SP were 7-hydroxycoumarin derivatives of cinnamic acid, hinokinin, valeric acid, and α-linolenic acid. These substances specifically targeted three important proteins: ERK1/2 MAPK, PI3K-protein kinase B (AKT), and the epidermal growth factor receptor (EGFR). Network analysis and molecular docking indicated a significant binding affinity between SP and these proteins. This was verified by Western blot analysis that revealed decreased protein levels of p-EGFR, p-ERK1/2, and p-AKT following SP administration. SP was finally reported to suppress MCF-7 cell growth and induce apoptosis by modulating the PI3K/AKT/EGFR and MAPK signaling pathways suggesting EGFR as a potential target of SP in breast cancer (BC) treatment.

A critical appraisal of the role of metabolomics in breast cancer research and diagnostics

Breast cancer (BC) remains the most prevalent cancer among women worldwide, despite significant advancements in its prevention and treatment. The escalating incidence of BC globally necessitates continued research into novel diagnostic and therapeutic strategies. Metabolomics, a burgeoning field, offers a comprehensive analysis of all metabolites within a cell, tissue, system, or organism, providing crucial insights into the dynamic changes occurring during cancer development and progression. This review focuses on the metabolic alterations associated with BC, highlighting the potential of metabolomics in identifying biomarkers for early detection, diagnosis, treatment and prognosis. Metabolomics studies have revealed distinct metabolic signatures in BC, including alterations in lipid metabolism, amino acid metabolism, and energy metabolism. These metabolic changes not only support the rapid proliferation of cancer cells but also influence the tumour microenvironment and therapeutic response. Furthermore, metabolomics holds great promise in personalized medicine, facilitating the development of tailored treatment strategies based on an individual's metabolic profile. By providing a holistic view of the metabolic changes in BC, metabolomics has the potential to revolutionize our understanding of the disease and improve patient outcomes.

Charge transport properties and mechanisms of bacterial cellulose (BC)-Zinc complexes

Most current flexible electronic devices are based on petroleum materials that are difficult to degrade. The exploration of sustainable and eco-friendly materials has become a major focus in both the scientific and industrial communities. In this study, BC-Zn-BIM (bacterial cellulose-Zn-benzimidazole), a novel composite electrode material based on biodegradable BC was developed. Here, BC acted as a conductive medium involved in the conductive behavior of the composite material. We've explored the charge transport mechanisms of BC-Zn-BIM by density functional theory (DFT) calculations, and applied it in the electrochemical detection of Bisphenol A (BPA). The results indicated that the oxygen-containing groups in BC and the nitrogen-containing heterocycles in BIM have a tendency to lose electrons, whereas zinc ions actively acquire electrons from these groups. This process promoted charge transfer within BC-Zn-BIM and endowed it with semiconductor-like properties, enhancing the electrocatalytic reaction of BPA. The detection limit of the electrochemical biosensor was 12 nM, and the sample recovery was 95.1%105.6%. This study clarified the mechanism of the higher electrical properties achieved in Zn-BIM complex grown in-situ on dielectric BC. This will further promote the development of low-cost, environmentally friendly flexible electronic devices.

The role of miRNAs as biomarkers in breast cancer

Breast cancer (BC) is the second most common cause of deaths reported in women worldwide, and therefore there is a need to identify BC patients at an early stage as timely diagnosis would help in effective management and appropriate monitoring of patients. This will allow for proper patient monitoring and effective care. However, the absence of a particular biomarker for BC early diagnosis and surveillance makes it difficult to accomplish these objectives. miRNAs have been identified as master regulators of the molecular pathways that are emphasized in various tumors and that lead to the advancement of malignancies. Small, non-coding RNA molecules known as miRNAs target particular mRNAs to control the expression of genes. miRNAs dysregulation has been linked to the start and development of a number of human malignancies, including BC, since there is compelling evidence that miRNAs can function as tumor suppressor genes or oncogenes. The current level of knowledge on the role of miRNAs in BC diagnosis, prognosis, and treatment is presented in this review. miRNAs can regulate the tumorigenesis of BC through targeting PI3K pathway and can be used as prognostic or diagnostic biomarkers for BC therapy. Some miRNAs, like miR-9, miR-10b, and miR-17-5p, are becoming known as biomarkers of BC for diagnosis, prognosis, and therapeutic outcome prediction. Other miRNAs, like miR-30c, miR-187, and miR-339-5p, play significant roles in the regulation of hallmark functions of BC, including invasion, metastasis, proliferation, resting death, apoptosis, and genomic instability. Other miRNAs, such as miR-155 and miR-210, are circulating in bodily fluids and are therefore of interest as novel, conveniently accessible, reasonably priced, non-invasive methods for the customized care of patients with BC.

Improvement strategy of citrate and biochar assisted nano-palladium/iron composite for effective dechlorination of 2,4-dichlorophenol

Rapid passivation and aggregation of nanoscale zero-valent iron (nZVI) seriously limit its performance in the remediation of different contaminants from wastewater. To overcome such issues, in the present study, nano-palladium/iron (nPd/Fe) was simultaneously improved by biochar (BC) prepared from discarded peanut shells and green complexing agent sodium citrate (SC). For this purpose, a composite (SC-nPd/Fe@BC) was successfully synthesized to remove 2,4-dichlorophenol (2,4-DCP) from wastewater. In the SC-nPd/Fe@BC, BC acts as a carrier with dispersed nPd/Fe particles to effectively prevent its agglomeration, and increased the specific surface area of the composite, thereby improving the reactivity and stability of nPd/Fe. Characterization results demonstrated that the SC-nPd/Fe@BC composites were well dispersed, and the agglomeration was weakened. The formation of the passivation layer on the surface of the particles was inhibited, and the mechanism of SC and BC improving the reactivity of nPd/Fe was clarified. Different factors were found to influence the reductive dichlorination of 2,4-DCP, including Pd loading, Fe:C, SC addition, temperature, initial pH, and initial pollutant concentration. The dechlorination results revealed that the synergistic effect of the BC and SC made the removal efficiency and dechlorination rate of 2,4-DCP by SC-nPd/Fe@BC reached to 96.0 and 95.6%, respectively, which was better than that of nPd/Fe (removal: 46.2%, dechlorination: 45.3%). Kinetic studies explained that the dechlorination reaction of 2,4-DCP and the data were better represented by the pseudo-first-order kinetic model. The reaction rate constants followed the order of SC-nPd/Fe@BC (0.0264 min-1) > nPd/Fe@BC (0.0089 min-1) > SC-nPd/Fe (0.0081 min-1) > nPd/Fe (0.0043 min-1). Thus, SC-nPd/Fe@BC was capable of efficiently reducing 2,4-DCP and the dechlorination efficiency of BC and SC synergistically assisted composite on 2,4-DCP was much better than that of SC-nPd/Fe, nPd/Fe@BC and nPd/Fe. Findings suggested that SC-nPd/Fe@BC can be promising for efficient treatment of chlorinated pollutants.

Potential source and health risks of black carbon based on MERRA-2 reanalysis data in a typical industrial city of North China Plain

Black carbon (BC) significantly affects climate, environmental quality, and human health. This study utilised Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), which can compensate for the shortcomings of ground BC monitoring in spatial-temporal distribution to study the pollution characteristics of BC and potential pollution sources in a typical industrial city (Xinxiang) with serious air pollution in northern China. The results showed that average daily ground observation and MERRA-2 concentration of BC of 7.33 μg m-3 and 9.52 μg m-3. The mean BC concentration derived from MERRA-2 reanalysis data was higher than ground measurement due to resolution limitations and pollution from the northern regions. The reliability of the MERRA-2 data was confirmed through correlation analysis. Consideration of the spatial distribution of BC from MERRA-2 and incorporating the potential source contribution function (PSCF), concentration-weighted trajectory (CWT), and emission inventory, other possible source areas and primary sources of BC in Xinxiang were investigated. The results indicated that implementing transportation and residential emission control measures in Henan Province and its surrounding provinces, such as Hebei Province, will effectively decrease the BC level in Xinxiang City. A passively smoked cigarettes model was used to evaluate the risk of BC exposure. The percentage of lung function decrement (PLFD) was the highest in school-age children, while the impact on lung cancer (LC) health risk was comparatively lower. Notably, the BC health risk in Xinxiang was lower than in most cities across Asia.

Comprehensive prognostic prediction of metastatic breast cancer treated with eribulin using blood‑based parameters and ratio

Eribulin is widely used to treat metastatic breast cancer (BC). Higher neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are associated with higher mortality in several cancer types. However, the association between BC prognosis and peripheral immune status remains controversial. In the present study, the relative effects of NLR and PLR on survival in patients with metastatic BC were quantified and their clinical prognostic value was evaluated. This retrospective study included 156 patients with metastatic BC who received eribulin monotherapy at Saitama Medical University International Medical Center. Clinicopathological features were examined (peripheral blood findings and biochemical liver and kidney function test results) and univariate and multivariate analyses were conducted of the overall survival (OS). The 156 patients treated with eribulin had a median follow-up duration of 18.3 months. Before eribulin treatment, patients with absolute lymphocyte counts (ALC) >1,500/µl, NLR <3.0, and PLR <150 had significantly longer OS than those with lower ALC, and higher NLR and PLR (median OS, 25.5 vs. 15.5 months; P<0.01; 20.3 vs. 13.6 months, P<0.01; and 29.2 vs. 14.8 months; P<0.001, respectively). Patients with anemia [hemoglobin (Hb) <10 g/dl] or liver dysfunction [albumin-bilirubin (ALBI) grade 2/3] had significantly shorter OS than those without (P<0.001, respectively). Multivariate analysis revealed low ALBI grade (P<0.001), high Hb (P<0.01) and low PLR (P<0.05) as independent factors of longer OS after eribulin administration. Low PLR, anemia and liver dysfunction might be factors associated with prolonged OS in patients with metastatic BC on eribulin therapy, which could be clinically useful, as their evaluation requires neither new equipment nor invasive testing.

Gold Nanoparticles Downregulate IL-6 Expression/Production by Upregulating microRNA-26a-5p and Deactivating the RelA and NF-κBp50 Transcription Pathways in Activated Breast Cancer Cells

MicroRNAs (miRNAs) are involved in the modulation of pathogenic genes by binding to their mRNA sequences' 3' untranslated regions (3'UTR). Interleukin-6 (IL-6) is known to promote cancer progression and treatment resistance. In this study, we aimed to explore the therapeutic effects of gold nanoparticles (GNP) against IL-6 overexpression and the modulation of miRNA-26a-5p in breast cancer (BC) cells. GNP were synthesized using the trisodium citrate method and characterized through UV-Vis spectroscopy, dynamic light scattering (DLS), and transmission electron microscopy (TEM). To predict the binding of miR-26a-5p in the IL-6 mRNA's 3'UTR, we utilized bioinformatics algorithms. Luciferase reporter clone assays and anti-miRNA-26a-5p transfection were employed to validate the binding of miR26a-5p in the IL-6 mRNA's 3'UTR. The activity of RelA and NF-κBp50 was assessed and confirmed using Bay 11-7082. The synthesized GNP were spherical with a mean size of 28.3 nm, exhibiting high stability, and were suitable for BC cell treatment. We found that miR-26a-5p directly regulated IL-6 overexpression in MCF-7 cells activated with PMA. Treatment of MCF-7 cells with GNP resulted in the inhibition of IL-6 overexpression and secretion through the increase of miR26a-5p. Furthermore, GNP deactivated NF-κBp65/NF-κBp50 transcription activity. The newly engineered GNP demonstrated safety and showed promise as a therapeutic approach for reducing IL-6 overexpression. The GNP suppressed IL-6 overexpression and secretion by deactivating NF-κBp65/NF-κBp50 transcription activity and upregulating miR-26a-5p expression in activated BC cells. These findings suggest that GNP have potential as a therapeutic intervention for BC by targeting IL-6 expression and associated pathways.

Comprehending the cuproptosis and cancer-immunity cycle network: delving into the immune landscape and its predictive role in breast cancer immunotherapy responses and clinical endpoints

Background

The role of cuproptosis, a phenomenon associated with tumor metabolism and immunological identification, remains underexplored, particularly in relation to the cancer-immunity cycle (CIC) network. This study aims to rigorously examine the impact of the cuproptosis-CIC nexus on immune reactions and prognostic outcomes in patients with breast cancer (BC), striving to establish a comprehensive prognostic model.

Methods

In the study, we segregated data obtained from TCGA, GEO, and ICGC using CICs retrieved from the TIP database. We constructed a genetic prognostic framework using the LASSO-Cox model, followed by its validation through Cox proportional hazards regression. This framework's validity was further confirmed with data from ICGC and GEO. Explorations of the tumor microenvironment were carried out through the application of ESTIMATE and CIBERSORT algorithms, as well as machine learning techniques, to identify potential treatment strategies. Single-cell sequencing methods were utilized to delineate the spatial distribution of key genes within the various cell types in the tumor milieu. To explore the critical role of the identified CICs, experiments were conducted focusing on cell survival and migration abilities.

Results

In our research, we identified a set of 4 crucial cuproptosis-CICs that have a profound impact on patient longevity and their response to immunotherapy. By leveraging these identified CICs, we constructed a predictive model that efficiently estimates patient prognoses. Detailed analyses at the single-cell level showed that the significance of CICs. Experimental approaches, including CCK-8, Transwell, and wound healing assays, revealed that the protein HSPA9 restricts the growth and movement of breast cancer cells. Furthermore, our studies using immunofluorescence techniques demonstrated that suppressing HSPA9 leads to a notable increase in ceramide levels.

Conclusion

This research outlines a network of cuproptosis-CICs and constructs a predictive nomogram. Our model holds great promise for healthcare professionals to personalize treatment approaches for individuals with breast cancer. The work provides insights into the complex relationship between the cuproptosis-CIC network and the cancer immune microenvironment, setting the stage for novel approaches to cancer immunotherapy. By focusing on the essential gene HSPA9 within the cancer-immunity cycle, this strategy has the potential to significantly improve the efficacy of treatments against breast cancer.

Barriers and facilitators for breast cancer early diagnosis in an indigenous community in Mexico: voices of otomí women

BACKGROUND

Literature on barriers and facilitators for early detection of Breast Cancer (BC) among indigenous women is very scarce. This study aimed to identify barriers and facilitators for BC early diagnosis as perceived by women of the otomí ethnic group in Mexico.

METHODS

We performed an exploratory qualitative study. Data was collected in 2021 through three focus group interviews with 19 otomí women. The interview transcripts were analyzed using the constant comparison method and guided by a conceptual framework that integrates the Social Ecological Model (SEM), the Health Belief Model and the Institute of Medicine's Healthcare Quality Framework.

RESULTS

Barriers and facilitators were identified at several levels of the SEM. Among the main barriers reported by the study participants were: beliefs about illness, cancer stigma, cultural gender norms, access barriers to medical care, and mistreatment and discrimination by health care personnel. Our participants perceived as facilitators: information provided by doctors, social support, perceived severity of the disease and perceived benefits of seeking care for breast symptoms.

CONCLUSIONS

Healthcare policies need to be responsive to the particular barriers faced by indigenous women in order to improve their participation in early detection and early help-seeking of care for breast symptoms. Measures to prevent and eradicate all forms of discrimination in healthcare are required to improve the quality of healthcare provided and the trust of the indigenous population in healthcare practitioners.