An analysis of the prognostic role of reactive oxygen species-associated genes in breast cancer.

BACKGROUND: This study aimed to type breast cancer in relation to reactive oxygen species (ROS), clinical indicators, single nucleotide variant (SNV) mutations, functional differences, immune infiltration, and predictive responses to immunotherapy or chemotherapy, and constructing a prognostic model. METHODS: We used uniCox analysis, ConsensusClusterPlus, and the proportion of ambiguous clustering (PAC) to analyze The Cancer Genome Atlas (TCGA) data to determine optimal groupings and obtain differentially expressed ROS-related genes. Clinical indicators were then combined with the classification results and the Chi-square test was used to assess differences. We further examined SNV mutations, and functional differences using gene set enrichment analysis (GSEA) analysis, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, immune cell infiltration, and response to immunotherapy and chemotherapy. A prognostic model for breast cancer was constructed using these differentially expressed genes, immunotherapy or chemotherapy responses, and survival curves. RT-qPCR was used to detect the differences in the expression of LCE3D, CA1, PIRT and SMR3A in breast cancer cell lines and normal breast epithelial cell line. RESULTS: We identified two distinct tumor types with significant differences in ROS-related gene expression, clinical indicators, SNV mutations, functional pathways, and immune infiltration. The response to specific chemotherapy drugs and immunotherapy treatments also documented significant differences. The prognostic model constructed with 16 genes linked to survival could efficiently divide patients into high- and low-risk groups. The high-risk group showed a poorer prognosis, higher tumor purity, distinct immune microenvironment, and lower immunotherapy response. RT-qPCR results showed that LCE3D, CA1, PIRT and SMR3A are highly expressed in breast cancer. CONCLUSION: Our methodical examination presented an enhanced insight into the molecular and immunological heterogeneity of breast cancer. It can contribute to the understanding of prognosis and offer valuable insights for personalized treatment strategies. Further, the prognostic model can potentially serve as a powerful tool for risk stratification and therapeutic decision-making in clinical settings.

Knowledge, attitude, and practice towards thyroid nodules and cancer among patients: a cross-sectional study.

Aim: This study aimed to explore the knowledge, attitude, and practice (KAP) towards thyroid nodules (TN) and thyroid cancer (TC) among patients. Subject and methods: This cross-sectional study enrolled patients with TN or TC at the Second Affiliated Hospital of the University of South China between September 2022 and February 2023. A self-administered questionnaire was developed to collect demographic information of the participants, and their knowledge, attitude and practice (KAP) towards TN and TC. Results: A total of 510 valid questionnaires were collected. Among the participants, 102 (20.00%) were male, and 197 (38.63%) had the diagnosis of TC. The knowledge, attitude and practice scores were 5.76 ± 3.09 (possible range: 0-12), 31.07 ± 2.73 (possible range: 9-45), and 18.97 ± 2.92 (possible range: 5-25), respectively. Multivariate logistic regression showed that age of above 50 years old (OR = 0.27, 95%CI: 0.12-0.64, p = 0.003), junior college or bachelor's degree and above (OR = 4.97, 95%CI: 1.74-14.20, p = 0.003), monthly income of 5,000-10,000 CNY (OR = 2.02, 95%CI: 1.09-3.74, p = 0.025) and > 10,000 CNY (OR = 5.67, 95%CI: 2.49-12.94, p < 0.001) were independently associated with knowledge. The good knowledge (OR = 3.87, 95%CI: 1.89-7.95, p < 0.001), high school or technical secondary school (OR = 0.52, 95%CI: 0.30-0.88, p = 0.016), and monthly income of 5,000-10,000 CNY (OR = 2.02, 95%CI: 1.13-3.63, p = 0.018) were independently associated with practice. Conclusion: Patients demonstrated poor knowledge, moderate attitude, and proactive practice towards TN and TC.

Customised 3D-Printed Surgical Guide for Breast-Conserving Surgery after Neoadjuvant Chemotherapy and Its Clinical Application.

For patients eligible to undergo breast-conserving surgery (BCS) after neoadjuvant chemotherapy, accurate preoperative localisation of tumours is vital to ensure adequate tumour resection that can reduce recurrence probability effectively. For this reason, we have developed a 3D-printed personalised breast surgery guide (BSG) assisted with supine magnetic resonance imaging (MRI) and image 3D reconstruction technology, capable of mapping the tumour area identified on MRI onto the breast directly using dual positioning based on the manubrium and nipple. In addition, the BSG allows the colour dye to be injected into the breast to mark the tumour region to be removed, yielding more accurate intraoperative resection and satisfactory cosmetic outcomes. The device has been applied to 14 patients from January 2018 to July 2023, with two positive margins revealed by the intraoperative biopsy. This study showed that the BSG-based method could facilitate precise tumour resection of BCS by accurately localising tumour extent and margin, promoting the clinical efficacy in patients with breast cancer as well as simplifying the surgical process.

Role and efficacy of capecitabine in the anthracycline-free regimen in breast cancer patients: a systematic review and meta-analysis.

PURPOSE: Capecitabine has extensive utilization in the treatment of diverse solid tumors, and its efficacy has been substantiated. Its oral administration and minimal toxicity in clinical practice render it advantageous. Nevertheless, uncertainty remains regarding whether capecitabine can substitute anthracycline drugs in chemotherapy regimens to achieve a lower risk of anthracycline-induced degradation. Consequently, we conducted a meta-analysis of randomized controlled trials (RCTs) to assess the potential of capecitabine as a replacement for anthracycline drugs in chemotherapy regimens for breast cancer. METHODS: We systematically searched PubMed, Embase, Web of Science, and the Cochrane Controlled Trials Register (CENTRAL) to retrieve eligible studies published before July 18, 2023. Two independent reviewers extracted relevant data from the included studies using a pre-established data extraction form. The primary endpoints of interest encompassed overall survival (OS) and progression-free survival (PFS) for postoperative adjuvant therapy, as well as pathological complete response (PCR) following neoadjuvant therapy. Adverse events were considered as secondary outcomes. The statistical analysis was performed using Revman 5.4.1. RESULTS: A total of six studies involving 2348 breast cancer patients were deemed eligible according to the selection criteria. The pooled meta-analysis revealed that there were no statistically significant differences observed in the primary outcomes of overall survival (OS) (HR 1.06, 95% CI 0.88-1.28) and progression-free survival (PFS) (HR 1.10, 95% CI 0.90-1.34) across the four postoperative adjuvant chemotherapy trials, as well as in the two neoadjuvant chemotherapy trials with respect to the primary outcome of pathological complete response (PCR) (OR 1.65, 95% CI 0.93-2.95) when comparing regimens containing anthracycline drugs to those without. In terms of adverse events, the probability of experiencing diarrhea (OR 3.94, P = 0.004) and hand-foot syndrome (OR 10.89, P = 0.004) was significantly higher in the capecitabine group, attributable to the drug characteristics. Conversely, the likelihood of developing neutropenia (OR 0.50, P = 0.03) was higher in the anthracycline group. CONCLUSIONS: According to the current evidence, there was no statistically significant difference in the primary outcomes when capecitabine was substituted for anthracycline drugs. Thus, capecitabine can be regarded as a feasible alternative in the subset of patients who necessitate the exclusion of anthracyclines.

Hormone Receptor Expression on Endocrine Therapy in Patients with Breast Cancer: A Meta-Analysis.

OBJECTIVE: To evaluate the role of hormone receptor expression on endocrine therapy in patients with breast cancer. METHODS: The databases were used to collect the effect of high expression and low expression of hormone receptors on the efficacy of endocrine therapy in breast cancer. Two evaluators independently screened the literature based on preset inclusion and exclusion criteria. The quality of the article was evaluated using a modified Newcastle-Ottawa Scale (NOS) system. The survival data included in the literature were extracted and the ln(hazard ratio (HR)) and se[ln(HR)] of the overall survival (OS), disease-free survival (DFS), and recurrence-free survival (RFS) rates were calculated according to different level of hormone receptors. The RevMan 5.3 software was used to evaluate the meta-analysis. RESULTS: A total of 13 relevant literature were included in the study. There were 8318 estrogen receptor (ER)-positive and 7926 progesterone receptor (PR)-positive patients. Overall survival, DFS, and RFS rates in high expression of ER(+) patients were significantly higher in low expression of ER(+) patients (OS HR = .59, 95% confidence interval (CI): .46-.76, P < .0001; DFS HR = .62, 95%CI: .50-.76, P < .00001; RFS HR = .44, 95% CI: .33-.58, P < .00001). In patients with high expression of PR(+), OS, DFS, and RFS rates were significantly higher than those with low expression of PR(+) (OS HR = .66, 95% CI: .57-.78, P < .00001; DFS HR = .52, 95% CI: .42-.65, P < .00001; RFS HR = .24, 95% CI: .11-.53, P = .0004). CONCLUSION: The expression of ER and PR are powerful predictors of adjuvant endocrine therapy response. Breast cancer patients with high expression of hormone receptors benefit more from endocrine therapy and have better prognosis.