Breast cancer incidence and mortality in women in China: temporal trends and projections to 2030

Germline variants analysis of Chinese breast cancer patients reveals numerous alterations in homologous recombination genes

PURPOSE

We aimed to identify the pathogenic variants of homologous recombination (HR) genes and analyze the correlation between the pathogenic variants and clinical characteristics in Chinese breast cancer patients.

METHODS

A cohort of 178 breast cancer patients participated in this study. We assessed genomic alterations using a 23-gene panel, which includes most of the HR-related genes and DNA mismatch repair (MMR) gene, through next-generation sequencing. The pathogenicity of variants was determined based on the American College of Medical Genetics and Genomics standards and guidelines. The correlation between these pathogenic variants and the clinical characteristics of the patients was investigated.

RESULTS

26 pathogenic variants, including one novel suspected pathogenic variant, were detected in 28 (15.7%) patients. These variants occurred in 7 HR-related genes: BRCA1, BRCA2, PALB2, RAD51D, RAD50, BRIP1, and ATM. The frequency of BRCA1 variants was higher in the younger group (8.9%) compared to the older group (2.6%), while the trend was reversed for BRCA2 (3.0% vs. 7.8%). All three patients with the pathogenic variant (p.Lys91fs) in RAD51D were diagnosed with triple-negative breast cancer.

CONCLUSIONS

HR-gene testing in breast cancer could help to find new suspected pathogenic variants and increase the clinical benefit of multi-gene testing for breast cancer.

Construction of a nomogram-based risk prediction model for depressive symptoms in middle-aged and young breast cancer patients

BACKGROUND

Breast cancer (BC) is the second most common malignancy globally. Young and middle-aged patients face more pressures from diagnosis, treatment, costs, and psychological issues like self-image concerns, social barriers, and professional challenges. Compared to other age groups, they have higher recurrence rates, lower survival rates, and increased risk of depression. Research is lacking on factors influencing depressive symptoms and predictive models for this age group.

AIM

To analyze factors influencing depressive symptoms in young/middle-aged BC patients and construct a depression risk predictive model.

METHODS

A total of 360 patients undergoing BC treatment at two tertiary hospitals in Jiangsu Province, China from November 2023 to April 2024 were included in the study. Participants were surveyed using a general information questionnaire, the patient health questionnaire depression scale, the visual analog scale for pain, the revised family support scale, and the long form of the international physical activity questionnaire. Univariate and multivariate analyses were conducted to identify the factors affecting depression in middle-aged and young BC patients, and a predictive model for depression risk was developed based on these findings.

RESULTS

Among the 360 middle-aged and young BC patients, the incidence rate of depressive symptoms was 38.61% (139/360). Multivariate analysis revealed that tumor grade, patient’s monthly income, pain score, family support score, and physical activity score were factors influencing depression in this patient group (P < 0.05). The risk prediction model constructed based on these factors yielded an area under the receiver operating characteristic curve of 0.852, with a maximum Youden index of 0.973, sensitivity of 86.80%, specificity of 89.50%, and a diagnostic odds ratio of 0.552. The Hosmer-Lemeshow test for goodness of fit indicated an adequate model fit (χ² = 0.360, P = 0.981).

CONCLUSION

The constructed predictive model demonstrates good predictive performance and can serve as a reference for medical professionals to early identify high-risk patients and implement corresponding preventive measures to decrease the incidence of depressive symptoms in this population.

Crystal Violet-Loaded Bi(III)-Based Metal-Organic Framework Boosting Enhanced Photothermal Effect for Breast Cancer Treatment

Recently, metal-organic frameworks (MOFs) have emerged as promising platforms to fabricate photothermal therapeutic materials to cure tumors, but the toxic heavy metals in many MOFs may pose great threats to normal cells. In consideration of the low toxicity of bismuth, herein we made great efforts to synthesize porous bismuth-based MOFs (Bi-MOFs) to construct photothermal conversion materials for cancer treatment. By the reaction of 4,4',4''-tricarboxylic triphenylamine (H3TCA) and Bi(NO3)3 under solvothermal conditions, a porous Bi-MOF was obtained with the formula of {[Bi2(TCA)2(H2O)3]·6DMF·21H2O}n (Bi-TCA). Structural analysis revealed that complex Bi-TCA displayed a three-dimensional (3D) coordination framework featuring abundant accessible channels and cages with a porosity of 73.3% according to the calculating results of PLATON. Due to the high porosity, complex Bi-TCA could effectively encapsulate the dye crystal violet (CV) into the voids and the resulting dye-loaded composite CV@Bi-TCA exhibited extended red-shifted light-absorbing property and enhanced photothermal conversion capability under 455 nm laser irradiation. Further anticancer experiments demonstrated that composite CV@Bi-TCA could efficiently inhibit the growth of breast cancer cells both in vitro and in vivo under 455 nm laser irradiation. This work may promote investigations on the low-toxicity Bi-MOFs for photothermal cancer therapy.

Combination Therapy of Pyrotinib and Metronomic Vinorelbine in HER2+ Advanced Breast Cancer after Trastuzumab Failure (PROVE): A Prospective Phase 2 Study

PURPOSE

Approximately 50%-74% of patients with metastatic human epidermal growth factor receptor 2 (HER2)-positive breast cancer do not respond to trastuzumab, with 75% of treated patients experiencing disease progression within a year. The combination of pyrotinib and capecitabine has showed efficacy in these patients. This study evaluates the efficacy and safety of pyrotinib combined with metronomic vinorelbine for trastuzumab-pretreated HER2-positive advanced breast cancer patients.

MATERIALS AND METHODS

In this phase 2 trial, patients aged 18-75 years with HER2-positive advanced breast cancer who had previously failed trastuzumab treatment were enrolled to receive pyrotinib 400 mg daily in combination with vinorelbine 40mg thrice weekly. The primary endpoint was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety.

RESULTS

From October 21, 2019, to January 21, 2022, 36 patients were enrolled and received at least one dose of study treatment. At the cutoff date, 20 experienced disease progression or death. With a median follow-up duration of 35 months, the median PFS was 13.5 months (95% confidence interval [CI], 8.3 to 18.5). With all patients evaluated, an ORR of 38.9% (95% CI, 23.1 to 56.5) and a DCR of 83.3% (95% CI, 67.2 to 93.6) were achieved. The median OS was not reached. Grade 3 adverse events (AEs) were observed in 17 patients, with diarrhea being the most common (27.8%), followed by vomiting (8.3%) and stomachache (5.6%). There were no grade 4/5 AEs.

CONCLUSION

Pyrotinib combined with metronomic vinorelbine showed promising efficacy and an acceptable safety profile in HER2-positive advanced breast cancer patients after trastuzumab failure.

Projections of esophageal cancer incidence trend in Jiangsu Province, China: a Bayesian modeling study

Objective

Esophageal cancer has made a great contribution to the cancer burden in Jiangsu Province, East China. This study was aimed at reporting esophageal cancer incidence trend in 2009-2019 and its prediction to 2030.

Methods

The burden of esophageal cancer in Jiangsu in 2019 was estimated using 54 cancer registries' data selected from Jiangsu Cancer Registry. Incident cases of 16 cancer registries were applied for the temporal trend from 2009 to 2019. The burden of esophageal cancer by 2030 was projected using the Bayesian age-period-cohort (BAPC) model.

Results

About 24,886 new cases of esophageal cancer (17,233 males and 7,653 females) occurred in Jiangsu in 2019. Rural regions of Jiangsu had the highest incidence rate. The age-standardized incidence rate (ASIR, per 100,000 population) of esophageal cancer in Jiangsu decreased from 27.72 per 100,000 in 2009 to 14.18 per 100,000 in 2019. The BAPC model showed that the ASIR would decline from 13.01 per 100,000 in 2020 to 4.88 per 100,000 in 2030.

Conclusions

According to the data, esophageal cancer incidence rates were predicted to decline until 2030, yet the disease burden is still significant in Jiangsu. The existing approaches to prevention and control are effective and need to be maintained.

Characteristics and influencing factors of fear of cancer recurrence among family caregivers of breast cancer patients: a latent class analysis

BACKGROUND

Family caregivers of breast cancer patients often experience significant psychological challenges, including depression, anxiety, and fear of cancer recurrence (FCR), yet these issues receive insufficient attention. This study aims to explore the heterogeneity of FCR among family caregivers and identify distinct subgroups based on their FCR levels.

METHODS

A cross-sectional survey was conducted with 866 family caregivers of breast cancer patients at two tertiary hospitals in Guangzhou, Guangdong Province. All participants completed the Fear of Cancer Recurrence Scale (FCR-7), the Patient Health Questionnaire (PHQ-9), and the Generalized Anxiety Scale (GAD-7) to assess their levels of FCR, depression, and anxiety. Latent class analysis (LCA) was used to identify subgroups of FCR, and multiple logistic regression analyses were performed to explore factors influencing FCR.

RESULTS

Three distinct subgroups of FCR were identified: low FCR group (16.17%), moderate FCR group (13.16%), and high FCR group (70.67%). Predictors of higher FCR included lower income, higher anxiety, and higher depression levels.

CONCLUSIONS

Family caregivers of breast cancer patients exhibit varying levels of FCR, with significant predictors being income, anxiety, and depression. Targeted interventions (e.g., psychoeducation, stress management, mindfulness exercises, and cognitive-behavioral therapy) that address these factors may help improve the mental health and well-being of family caregivers.

Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction

Breast cancer, which is the most commonly diagnosed cancers among women, is a notable health issues globally. Breast cancer is a result of abnormal cells in the breast tissue growing out of control. Histopathology, which refers to the detection and learning of tissue diseases, has appeared as a solution for breast cancer treatment as it plays a vital role in its diagnosis and classification. Thus, considerable research on histopathology in medical and computer science has been conducted to develop an effective method for breast cancer treatment. In this study, a vision Transformer (ViT) was employed to classify tumors into two classes, benign and malignant, in the Breast Cancer Histopathological Database (BreakHis). To enhance the model performance, we introduced the novel multi-head locality large kernel self-attention during fine-tuning, achieving an accuracy of 95.94% at 100× magnification, thereby improving the accuracy by 3.34% compared to a standard ViT (which uses multi-head self-attention). In addition, the application of principal component analysis for dimensionality reduction led to an accuracy improvement of 3.34%, highlighting its role in mitigating overfitting and reducing the computational complexity. In the final phase, SHapley Additive exPlanations, Local Interpretable Model-agnostic Explanations, and Gradient-weighted Class Activation Mapping were used for the interpretability and explainability of machine-learning models, aiding in understanding the feature importance and local explanations, and visualizing the model attention. In another experiment, ensemble learning with VGGIN further boosted the performance to 97.13% accuracy. Our approach exhibited a 0.98% to 17.13% improvement in accuracy compared with state-of-the-art methods, establishing a new benchmark for breast cancer histopathological image classification.

Female Breast Cancer Incidence and Association with Socioeconomic Status in a Population-Based Cohort - China, 2018-2024

What is already known about this topic?

Breast cancer has emerged as the most prevalent cancer among women globally and is increasingly affecting younger populations. However, the relationship between individual socioeconomic status (SES) and breast cancer risk remains incompletely understood.

What is added by this report?

This population-based cohort study revealed a breast cancer incidence rate of 48.9 per 100,000 person-years. Women with high SES demonstrated a significantly elevated risk of breast cancer compared to those with low SES [hazard ratio (HR)=1.42, 95% confidence interval (CI): 1.05, 1.92]. Self-perceived SES appeared to moderate this association, with an increased breast cancer risk particularly evident among women who had both low objectively assessed and self-perceived SES.

What are the implications for public health practice?

These findings underscore the need for tailored breast cancer screening programs and targeted health education initiatives that account for differences across SES groups.

Cardioprotective effect of chelidonic acid against doxorubicin-induced cardiac toxicity in rats

INTRODUCTION AND OBJECTIVES

The current study evaluates the effect of chelidonic acid on doxorubicin-induced cardiac toxicity. Chelidonic acid (CA) is a natural pyran-skeleton heterocyclic compound found in rhizomes of the perennial plant, celandine (Chelidonium majus).

METHODS

Wistar rats were given an intraperitoneal injection of doxorubicin (1.25 mg/kg, cumulative dose of 20 mg/kg) four times per week for a duration of four weeks to induce cardiotoxicity. CA treatment (10, 20, and 40 mg/kg orally for four weeks) was started together with doxorubicin.

RESULTS

CA treatment reduced myocardial damage and improved cardiac dysfunction in doxorubicin-treated rats. It improved blood pressure, restored ST wave height and normalized the QTc interval compared to the rats treated only with doxorubicin. Administration of CA for four weeks reduced left ventricular end-diastolic pressure. Moreover, CA treatment decreased the level of cardiac markers such as creatine kinase-myocardial band (CK-MB), lactate dehydrogenase (LDH), aspartate aminotransferase (AST), and cardiac troponin-T. Masson's trichrome, hematoxylin, and eosin staining of heart tissue revealed that CA attenuated the deleterious effects of doxorubicin and prevented further damage and fibrosis in rats.

CONCLUSION

The study findings confirm that CA treatment can protect the myocardium against doxorubicin-induced cardiotoxicity.

Combination therapy using Cel-CSO/Taxol NPs for reversing drug resistance in breast cancer through inhibiting PI3K/AKT/NF-κB/HIF-1α pathway

The resistance of malignant tumors to multiple drugs is a significant obstacle in cancer treatment and prognosis. Accordingly, we synthesized a celastrol (Cel) prodrug (Cel-CSO) by conjugating chitosan oligosaccharides (CSO) to Cel for reversing Taxol resistance in chemotherapy, followed by self-assembly with Taxol into a novel nanoplatform of Cel-CSO/Taxol nanoparticles (termed NPs). NPs showed a suitable size (about 153 nm), excellent stability and prolonged release of Cel and Taxol in a manner that depended on both pH and time. NPs effectively inhibited the overexpression of multidrug resistance-related protein P-gp, hypoxia inducible factor-1α (HIF-1α), and triggered the MCF-7/Taxol cell apoptosis through inhibiting the PI3K/AKT/NF-κB/HIF-1α pathway. In tumor-bearing mice, NPs exhibited significant curative effects in inducing apoptosis of MCF-7/Taxol tumors which showed a low expression level of P-gp, microtubule-related proteins TUBB3 and Tau. The results indicated that NPs may be a promising strategy to overcome drug resistance caused by P-gp, which improve the antitumor effects in drug-resistant breast cancer.

Lifetime probabilities of developing and dying from cancer in China: comparison with Japan and the United States in 2022

The numbers of new cancer cases and deaths in China were the largest in the world, causing a huge social and economic burden. We attempt to use more intuitive indicators to measure the probabilities of being diagnosed of or dying from cancer in China and compare these probabilities with those in Japan and the United States (US). We obtained the cancer data from GLOBOCAN 2022 for China, Japan, and the US and the all-cause mortality and population data from the United Nations. The lifetime risks of developing and dying from cancer were estimated with adjusted actual life expectancy, multiple primaries, and death-competing risks from causes other than cancers. Approximately 27.61% of Chinese people developed cancer and 1 in 5 persons were likely to die from cancer. The highest-risk cancer among men and women was lung cancer in China, but in the US and Japan, prostate cancer among men and breast cancer among women posed the highest risk. Lung cancer presented the highest likelihood of death, but women in Japan had the highest likelihood of dying from colorectal cancer. China had a lower lifetime risk of developing cancer compared with Japan and the US, but a higher probability of dying from cancer than the US. Although the probability of developing cancer was not as high as that in Japan and the US, China was still faced with enormous pressure due to its huge population and contradictory cancer patterns. Estimating lifetime risks can provide essential information to formulate appropriate cancer prevention and control plans.

Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning

Objective: To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery using machine learning techniques and to explore the role of multifeature fusion. Methods: Data from 137 breast cancer postoperative patients with new nodules from January 2016 to April 2024 were analyzed. Clinical, ultrasound, immunohistochemistry, and surgical features were combined. Multiple machine learning models, including support vector machine (SVM), random forest, gradient boosting, AdaBoost, and XGBoost, were trained and tested. Model performance was evaluated using stratified ten-fold cross-validation. Ablation experiments assessed the impact of different feature combinations on diagnostic performance. Results: The SVM model performed best, with an AUC of 0.8664, an accuracy of 0.8099, a sensitivity of 0.565, and a specificity of 0.9267. Ablation experiments indicated that multifeature fusion significantly improved diagnostic performance, especially when combining clinical, ultrasound, immunohistochemistry, and surgical features. Gradient boosting and random forest models showed slightly inferior performance, while AdaBoost had balanced but lower effectiveness. Conclusion: Machine learning, particularly the multifeature fusion SVM model, shows significant potential in diagnosing new nodules after breast cancer surgery. It can assist doctors in developing more effective treatment plans, improving patient outcomes. Future studies should expand sample sizes, include multicenter data, and explore advanced algorithms to further enhance diagnostic performance.

Development of a Visible-Near Infrared Projected Multispectral Imaging System for Intraoperative Breast Tumor Margin Assessment

A visible-near infrared (VIS-NIR) projected multispectral imaging (Proj-MSI) system consisting of an MSI subsystem and a compact projector for intraoperative breast tumor margin assessment was developed. MSI with an average spectral resolution of 24 nm was realized through sequential illumination of 26 sets of VIS-NIR light-emitting diodes and synchronized single NIR-sensitive camera image capture. Rapid (~1 min) tumor margin delineation revealed significantly (p < 0.01, Student's t-test) reduced reflectivity associated with breast tumor. Speeded-up robust features algorithm-based field of view calibration allowed the MSI identified tumor margins to be projected directly onto the breast-conserving surgery (BCS) surgical cavity with a projection error of < 1 mm. Besides, the projected tumor margin boundaries were outlined using Indian ink to simulate breast tumor removal, demonstrating the potential of the Proj-MSI system developed for intraoperative tumor margin assessment during BCS.

TNIP1 Impacts Prognosis by Modulating the Immune Microenvironment in BRCA

Breast invasive carcinoma (BRCA) affects women worldwide, and despite advancements in diagnosis, prevention, and treatment, outcomes remain suboptimal. TNIP1, a novel target involved in multiple immune signaling pathways, influences tumor development and survival. However, the connection between BRCA and TNIP1 remains unclear. Analysis of data from the TCGA, GEO, Sangerbox, and Ualcan databases revealed that TNIP1 is underexpressed in BRCA tissues. This finding was corroborated by RT-PCR and immunohistochemistry. Furthermore, data from the TCGA and GEPIA2 databases, along with Sangerbox, identified TNIP1 as a marker of poor prognosis in BRCA patients. TNIP1 expression shows significant positive correlations with the BRCA Tumor Microenvironment (TME) StromalScore (R = 0.22), ImmuneScore (R = 0.25), and ESTIMATEScore (R = 0.27). Various algorithms have demonstrated a strong association between TNIP1 expression and BRCA tumor-infiltrating immune cells (TIICs). Further analysis using EPIC, TIMER, MCPCounter, QUANTISEQ, xCell, and other computational tools revealed that elevated TNIP1 expression is significantly associated with increased immune cell scores. TNIP1 expression in BRCA tumor tissues also shows a strong correlation with immune checkpoint markers. Data from the HAP database indicate that TNIP1 expression is predominantly involved in the normal skin microenvironment. Subsequent analysis using the TISCH platform with the BRCA single-cell dataset demonstrated that TNIP1 exhibits higher expression levels in immune cells compared to non-immune cells in BRCA patients. This expression is significantly positively correlated with inflammation (R = 0.25) and differentiation (R = 0.28) within the TME, while showing negative correlations with BRCA stemness (R = - 0.34) and invasion (R = - 0.22). Consequently, TNIP1 is proposed as a potential prognostic marker and therapeutic target for BRCA.

Experience of breast cancer patients participating in a virtual reality psychological rehabilitation: a qualitative study

OBJECTIVE

Breast cancer is one of the most common types of cancer in China and worldwide. Apart from cancer, a majority of breast cancer patients suffer from various psychological disorders concurrently. The purpose of this study is to understand the actual experiences of breast cancer patients participating in Virtual Reality (VR) for psychological intervention, and to provide a theoretical basis for the development of VR psychological rehabilitation in China.

METHODS

Twenty-three breast cancer patients who met the inclusion criteria were selected using purposive sampling method for this qualitative study. Semi-structured interviews were conducted to explore their experiences with VR psychological rehabilitation. The data were analyzed, summarized, and generalized using the Colaizzi analysis method.

RESULTS

The results of the interviews were consistent with the PAC structural analysis. Three themes and six sub-themes captured how patients felt about adopting VR for their psychological rehabilitation, including parent ego state (the feeling of loss when expectations are not met, improvement of sleep), adult ego state (relief of psychological stress, optimization, and recommendations for VR therapy), and child ego state (novel and fun immersive experience, contagiousness of variable emotions).

CONCLUSION

Breast cancer patients participating in the VR psychological rehabilitation had a favorable experience. To maximize the benefit of VR psychological rehabilitation, healthcare professionals should comprehensively assess the psychological state of breast cancer, optimize VR technology, and enable patients to enter the adult ego state. The new model of VR psychological rehabilitation needs to be further explored.

Nomogram Model for Predicting Minimal Breast Cancer Based on Clinical and Ultrasonic Characteristics

Purpose

To construct a nomogram prediction model on minimal breast cancer (≦ 10 mm) based on clinical and ultrasound parameters.

Methods

Clinical and ultrasound data of 433 patients with minimal breast lesions was conducted in this retrospective study. Patients were randomly divided into a training set and a validation set with a ratio of 7:3. Independent risk factors for minimal breast cancer were selected by the least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression analysis to construct a nomogram prediction model. The calibration curve, the clinical decision curve analysis (DCA) and the area under the curve (AUC) of the receiver operating characteristic (ROC) curve were used to evaluate the diagnostic efficacy of the model.

Results

Age, margin, shape, and breast density were independent risk factors for malignant minimal breast lesions (P < 0.05). The AUC of the training set and validation set of the nomogram prediction model were 0.875, the sensitivity were 75.0% and 88.9%, the specificity were 83.8% and 77.7%, respectively. The mean absolute error (MAE) of the training set and validation set of the calibration curve were 0.01 and 0.024, respectively.

Conclusion

The nomogram prediction model has good discrimination, calibration and clinical practical value in the training set and validation set. The minimal breast cancer prediction model based on clinical and ultrasonic features possesses high clinical value, facilitating the early diagnosis of minimal breast cancer.

Risk factors and prediction model for sub-threshold depression in young and middle-aged breast cancer patients

OBJECTIVE

To explore the current status of subthreshold depression in young and middle-aged breast cancer patients and its influencing factors, in order to guide early identification and intervention in clinical settings.

METHODS

The study included 385 young and middle-aged cancer patients treated at the First Affiliated Hospital of Xinjiang Medical University from June 2023 to June 2024. Standardized scales were used to evaluate sub-threshold depression, psychological resilience, and self-perceived burden. Multivariate linear regression analysis was performed to identify risk factors, and ROC analysis was utilized to assess the predictive performance of the model.

RESULTS

The sub-threshold depression score for 385 patients was 104.23±19.36, with an average item score of 3.58±0.59. Statistically significant differences in sub-threshold depression scores were observed across age groups, family relationships, economic burdens due to the illness, prior contact with patients having the same disease, subjective feelings about the illness, clinical stages, and whether patients had received radiotherapy or chemotherapy (all P < 0.05). No statistically significant differences were found in other variables (all P > 0.05). Significant risk factors for sub-threshold depression included age ≥ 31 years, poor family relationships, severe subjective perception of the illness, heavy economic burden due to the disease, clinical stage III, psychological resilience, self-perceived burden, and receiving radiotherapy or chemotherapy (all P < 0.05). ROC analysis revealed that the area under the curve (AUC) for the predictive model was 0.956.

CONCLUSION

The prediction model developed in this study provides a theoretical basis for screening sub-threshold depression in young and middle-aged breast cancer patients. It also offers a reference for clinical healthcare professionals to adopt preventive measures and care strategies for patients at risk of sub-threshold depression.

Perfluoroalkyl substances exposure and the risk of breast cancer: A nested case-control study in Jinchang Cohort

BACKGROUND

As persistent organic pollutants (POPs), perfluoroalkyl substances (PFAS) may potentially impact human health. Our study aimed to investigate the prospective association between PFAS exposure and the incidence risk of breast cancer in females.

METHODS

By fully following the Jinchang Cohort after a decade, we conducted this nested case-control study with 135 incidence cases of breast cancer (BC) and 540 bias-paired controls. The PFAS levels were tested by baseline serum samples. Conditional logistic regression and a restricted cubic spline model were employed to investigate the BC incidence risks and the dose-response associated with single PFAS component exposure. Furthermore, the Quantile g-computation model (Qgc), random forest model (RFM), and bayesian kernel machine regression models (BKMR) were integrated to estimate the mixed effects of PFAS exposure on the incidence risk of BC.

RESULTS

Exposures to specific PFAS components were positively associated with an increased incidence risk of breast cancer. By grouping the study population into different baseline menopausal statuses, PFHxS, PFNA, PFBA, PFUdA, PFOS, and PFDA demonstrated a similarly positive correlation with BC incidence risks. However, the increased incidence risks of BC associated with PFOA, PFOS, PFUdA, and 9CL-PF3ONS exposure were exclusively found in the premenopausal population. Both BKMR and Qgc revealed that exposure to mixed PFAS was associated with an increased risk of breast cancer, with Qgc specifically indicating an odds ratio (OR) of 2.21 (95% CI: 1.53, 3.19). Random forests showed that PFBA, PFOS, PFHxS, and PFDA emerged as predominant factors potentially influencing breast cancer incidence.

CONCLUSION

Our findings suggest a strong association between PFAS exposure and the incidence of breast cancer. Premenopausal women should exercise more caution regarding PFAS exposure.

The relationship between dyadic coping and post-traumatic growth in breast cancer patients and spouses: based on potential profile analysis

BACKGROUND

The disease impact of breast cancer is to view the couple as a whole, breast cancer is a disease shared by the couple. Cancer coping has evolved from an individual perspective to a dyadic coping perspective for couples. The purpose of this study was to identify and describe the dyadic coping categories of couples with breast cancer and to analyze the relationship between dyadic coping categories and post-traumatic growth (PTG) in couples with breast cancer.

METHOD

In this study, breast cancer patients and their spouses were selected as the study population from several tertiary hospitals in Jinzhou City using convenience sampling method in 2023. A general information questionnaire, Dyadic Coping Inventory (DCI), and Post-traumatic Growth Inventory (PTGI) were used to survey 254 couples with breast cancer. Latent profile analysis (LPA) was performed using Mplus (version 8.3). SPSS 26.0 was used for data entry, and data were analyzed using one-way analysis of variance and multifactor logistic regression. Significance level α = 0.05.

RESULT

The study examines the influence of various factors such as educational attainment, age, income, residence, medical insurance, surgical procedure type, disease stage, and breast cancer recurrence on patients' coping strategies. Multiple logistic regression analysis showed that education level, age at marriage, place of residence, form of health care coverage, stage of the disease, and whether or not the disease recurred were significant predictors of each indicator (P < 0.05). The LPA yielded four dyadic coping subgroups, with high relative entropy (0.942), respectively, each accounting for 7.4%, 17.1%, 24.3%, and 51.2% of the total. The study found that the high-level coping group scored significantly higher in all dimensions of binary coping with post-traumatic growth among different patient and spouse subgroups.

CONCLUSION

Couple dyadic coping in breast cancer patients was categorized into four groups. The low-level coping group is the one that needs focused observation and intervention. This is a better reference for caregivers to provide more targeted coping programs based on the different dyadic coping categories of couples of breast cancer patients.

Unfavorable Prognostic Impact of HER2 2+/FISH-Negativity in Older Patients with HER2-Negative and High-Risk Breast Cancer

Purpose

Human epidermal growth factor receptor 2 (HER2)-low breast cancer, consisted of carcinomas with HER2 protein 1+ or 2+ without gene amplification, has been considered a biologically heterogeneous disease. Limited research separately investigated the prognostic significance of HER2 2+ without gene amplification, and no evidence can be identified in older patients. In this dedicated cohort of older patients with HER2-negative and high-risk breast cancer, we analyzed the real-world prognosis after standard adjuvant chemotherapy, and investigated the associations of survival with HER2 2+ without gene amplification.

Patients and Methods

From January 2016 to December 2021, older patients (≥65 years) with breast cancer were reviewed, and HER2-negative/high-risk disease receiving standard adjuvant chemotherapy was included. HER2-negativity was defined as immunohistochemistry (IHC) score 0, 1+ or 2+ without gene amplification by fluorescent in situ hybridization (FISH). Cox proportional hazards regression analyses were performed to assess the associations of HER2 2+/FISH-negativity with disease-free survival (DFS), which was estimated by the Kaplan-Meier method and compared by the Log rank test.

Results

This cohort consisted of 121 consecutive older patients. With a median follow-up of 46 months, 12 patients had a DFS event. By univariate and multivariate analyses, HER2 2+/FISH-negativity was the only independent predictor for worse DFS (hazard ratio 5.56; P=0.046). Patients with HER2 2+/FISH-negativity had significantly poorer DFS compared with those with HER2 0 or 1+ (Log rank test, P=0.029). In both hormone receptor (HR)-positive (Log rank test, P=0.052) and HR-negative (Log rank test, P=0.125) subgroups, HER2 2+/FISH-negativity showed a marginally significant adverse influence on DFS.

Conclusion

In older patients with HER2-negative/high-risk breast cancer undergoing standard adjuvant chemotherapy, our findings suggest that HER2 2+/FISH-negativity has an independent negative impact on prognosis.

Construction of a nomogram risk prediction model for depressive symptoms in elderly breast cancer patients

The primary objective of this study was to identify the factors associated with the development of depressive symptoms in elderly breast cancer (BC) patients and to construct a nomogram model for predicting these symptoms. We recruited 409 patients undergoing BC treatment in the breast departments of two tertiary-level hospitals in Jiangsu Province from November 2023 to April 2024 as our study cohort. Participants were categorized into depressed and non-depressed groups based on their clinical outcomes. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors for depression among BC patients. Multivariate analysis revealed that monthly income, pain score, family support score, and physical activity score significantly influenced the onset of depression in older BC patients (P < 0.05).The risk prediction model, constructed using these identified factors, demonstrated excellent discriminatory power, as evidenced by an area under the ROC curve (AUC) of 0.824. The maximum Youden index was 0.627, with a sensitivity of 90.60%, specificity of 72.10%, and a diagnostic threshold value of 1.501. The results of the Hosmer-Lemeshow goodness-of-fit test (χ² = 3.181, P = 0.923) indicated that the model fit the data well. The calibration curve for the model closely followed the ideal curve, suggesting a strong fit and high predictive accuracy. Our nomogram model exhibited superior predictive performance, enabling healthcare professionals to identify high-risk patients early and implement preventative measures to mitigate the development of depressive symptoms. This study is a cross-sectional study that lacks longitudinal data and has a small sample size. Future research could involve larger samples, multicenter studies, and prospective designs to build better clinical predictive models.

Expression of histone methyltransferase WHSC1 in invasive breast cancer and its correlation with clinical and pathological data

BACKGROUND

The WHSC1 protein facilitates specific dimethylation of histone H3 at the K36 position, enhancing gene transcription and expression. Studies have confirmed its high expression in diverse malignant tumors. We aimed to identify novel molecular markers to assess the biological behavior of breast cancer cells.

METHODS

We conducted a comprehensive analysis of mRNA expression in breast cancer and adjacent tissues based on TCGA data. We enrolled 141 breast cancer patients treated at the First Affiliated Hospital of Fujian Medical University between 2012 and 2016. Patient clinical information and pathological specimens were obtained. We utilized tissue microarray (TMA) technology. We employed the chi-square test for between-group comparisons, with p < 0.05 indicating statistical significance. Furthermore, we analyzed the associations between WHSC1 expression and clinical or pathological data.

RESULTS

WHSC1 mRNA expression was significantly higher in breast cancer tissues than in adjacent tissues (p < 0.001). Moreover, high WHSC1 protein expression in breast cancer was associated with several important clinical parameters, such as pathological type (p = 0.007), high Ki67 expression(Ki67＞20 %) (p < 0.001), lymph node metastasis (p < 0.001), T stage (p = 0.011), N stage (p < 0.001), postoperative pathological stage (p < 0.001), premenopausal status (p = 0.004), and positive HER2 status (p < 0.001). Multivariate regression analysis showed that high WHSC1 expression, elevated Ki67 levels, and positive HER2 status were independent risk factors for axillary lymph node metastasis in breast cancer patients.

CONCLUSION

WHSC1 protein expression is upregulated in breast cancer patients and represents an independent risk factor influencing axillary lymph node metastasis, highlighting its potential significance as a strong candidate biomarker.

The Mediating Effect of Psychological Resilience and Coping Style on Fear of Recurrence and Reproductive Concerns in Breast Cancer Patients of Childbearing Age

Objective

Fear of recurrence and reproductive concerns are great public health concerns among breast cancer patients in childbearing age. The purpose of this study was to explore whether psychological resilience and coping styles play mediating roles in fear of recurrence and reproductive concerns among Chinese breast cancer patients in childbearing age.

Methods

A total of 1267 breast cancer patients of childbearing age completed the questionnaires, including a brief demographic questionnaire survey. The Chinese version of the Fear of Cancer Recurrence Scale and the Chinese version of the Reproductive Concerns Scale were used to assess the fear of recurrence and reproductive concerns, respectively. And the psychological resilience scale and the simple coping style questionnaire were used to evaluate breast cancer patients' psychological resilience and coping style during childbearing age. Mediation analyses were conducted by using PROCESS macro in the SPSS software.

Results

Fear of recurrence had both direct and indirect effects on Reproductive Concerns. psychological resilience and coping style were not only independent mediators in the relationship between fear of recurrence and Reproductive Concerns but also chain mediators.

Conclusion

The results of the current study highlight the crucial role of early intervention for Reproductive Concerns with a focus on fear of recurrence of breast cancer patients of childbearing age, more especially, on those with poorer psychological resilience and coping style.

Evaluation of urban-rural difference in breast cancer mortality among Chinese women during 1987-2021: A hierarchical age-period-cohort analysis

BACKGROUND

Breast cancer mortality varies in urban and rural areas in China. Studies have reported urban-rural difference across time period, however, the evaluation on urban-rural differences in age and birth cohort effects is limited. Our aim was to quantitatively assess urban-rural disparities in age, period and cohort effects in breast cancer mortality in China.

METHODS

We collected age-specific breast cancer mortality rates for urban and rural females aged 20-84 years from 1987 to 2021. Hierarchical age-period-cohort (HAPC) models were used to evaluate the effect of area (urban, rural) on breast cancer mortality and investigate urban-rural differences in age, time period and birth cohort effects.

RESULTS

We found a significant area (urban, rural) effect on breast cancer mortality in that rural females had a lower mortality risk than urban females [-0.25 (95 % confidence interval (CI): -0.32, -0.17)]. Age trajectories of mortality based on the HAPC model showed nonlinear trends with adjustment for area variable. The urban-rural difference in age effect appeared to be divergent with age, and urban women had higher mortality risk in the senior age group. The urban-rural difference in birth cohort effect indicated a reversal around the birth cohort group of 1962-1966, after which rural females had a higher mortality risk than urban females.

CONCLUSION

The area (urban, rural) could affect breast cancer mortality among women, and the effect of urban-rural difference varies with age and birth cohort. To promote the health of urban and rural females, the gap between urban and rural areas should be shorten.

Trends in Cancer Incidence and Potential Associated Factors in China

Importance

Timely analysis of cancer incidence trends is crucial for cancer prevention and control, which is a public health priority in China.

Objective

To estimate incidence trends for 32 cancers in China from 1983 to 2017 and project changes to 2032, assessing distinct changes due to risk factors and an aging population.

Design, Setting, and Participants

This population-based cohort study used data from the Cancer Incidence in Five Continents database (1983-2017). New cases of 32 cancers were collected. Data were analyzed from October 15, 2023, to May 23, 2024.

Main Outcomes and Measures

Age-standardized incidence rate (AIR) standardized to the World Health Organization World Standard Population, average annual percentage changes (AAPC) using joinpoint regression, and percentage change due to aging and risk factors, using Møller decomposition analysis, stratified by cancer and sex.

Results

A total of 3 677 027 new cancer cases (54.9% male, 45.1% female) were included in the analysis. Increased AIRS were observed for 11 cancers in males and 14 in females from 1983 to 2017, with trends expected to continue until 2032. Thyroid cancer showed the highest increase (AAPC: 7.82% in males; 95% CI, 6.92%-10.38%; 8.59% in females; 95% CI, 7.84%-10.42%), followed by prostate (4.71%; 95% CI, 3.12%-9.95%) and kidney (3.61%; 95% CI, 3.11%-5.82%) cancers in males, and cervical (4.43%; 95% CI, 3.36%-9.44%) and kidney (3.66%; 95% CI, 2.98%-6.86%) cancers in females. The AIRs of lung cancer tended to decrease in males but increase in females during 1983-2017. In contrast, the AIRs of stomach, liver, larynx, and nose and sinuses cancers decreased from 1983 to 2032. From 2018 to 2032, cancer cases were projected to increase primarily due to risk factors for 18 cancers in males and 11 in females, while aging would be associated with the increase in other cancers.

Conclusions and Relevance

In this population-based cohort study of incident cancer in the general population, the cancer landscape in China is evolving, with an increasing incidence primarily due to risk factors in 20 cancers and aging in others. Primary prevention efforts to reduce risk exposure are crucial, and further basic research is needed. Additionally, second prevention efforts are imperative to improve cancer survival, particularly among older individuals.

Correlation between symptom experience and fear of cancer recurrence in postoperative breast cancer patients undergoing chemotherapy in China: A cross-sectional study

OBJECTIVE

To analyze the relationship between experience of symptoms (e.g., pain, fatigue) and fear of cancer recurrence (FCR) in Chinese postoperative patients with breast cancer undergoing chemotherapy.

METHODS

A total of 225 patients were recruited using convenience sampling. The Fear of Cancer Recurrence Inventory-Chinese Version and the Symptom Experience Index were used to collect data. The Mann-Whitney U test, Spearman's correlation, and multivariate analysis were employed to explore the relationships between symptom experience and FCR.

RESULTS

The total Fear of Cancer Recurrence Inventory score in postoperative patients with breast cancer undergoing chemotherapy was 43.19±22.83, and >64.0% of participants exhibited significant fear of cancer recurrence. The total score of symptom experience was 27.41±16.77, including scores of symptom severity (16.91±8.70) and symptom distress (10.50±8.89). Participants' symptom experience was positively correlated with fear of cancer recurrence (r = 0.353, P < 0.001). Patients with clinically relevant FCR had higher scores for total symptom experience (Z = -3.911, P<0.001), symptom severity (Z = -3.245, P = 0.001), and symptom distress (Z = -4.185, P<0.001), compared to patients without clinically relevant FCR. Symptom experience (b = 0.511, t = 6.474, P<0.001), age (b = -0.591, t = -4.201, P<0.001), and educational level (b = 4.147, t = 3.955, P<0.001) were statistically correlated with FCR, accounting for 27.0% of the variance. Among these variables, symptom experience demonstrated the strongest correlation, with a beta value of 0.371.

CONCLUSION

This study followed others in identifying a cross-sectional relationship between symptom experience and FCR. Further prospective research is required to better understand the nature of this relationship.

Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors

Purpose

To construct a free and accurate breast cancer mortality prediction tool by incorporating lifestyle factors, aiming to assist healthcare professionals in making informed decisions.

Patients and Methods

In this retrospective study, we utilized a ten-year follow-up dataset of female breast cancer patients from a major Chinese hospital and included 1,390 female breast cancer patients with a 7% (96) mortality rate. We employed six machine learning algorithms (ridge regression, k-nearest neighbors, neural network, random forest, support vector machine, and extreme gradient boosting) to construct a mortality prediction model for breast cancer.

Results

This model incorporated significant lifestyle factors, such as postsurgery sexual activity, use of totally implantable venous access ports, and prosthetic breast wear, which were identified as independent protective factors. Meanwhile, ten-fold cross-validation demonstrated the superiority of the random forest model (average AUC = 0.918; 1-year AUC = 0.914, 2-year AUC = 0.867, 3-year AUC = 0.883). External validation further supported the model's robustness (average AUC = 0.782; 1-year AUC = 0.809, 2-year AUC = 0.785, 3-year AUC = 0.893). Additionally, a free and user-friendly web tool was developed using the Shiny framework to facilitate easy access to the model.

Conclusion

Our breast cancer mortality prediction model is free and accurate, providing healthcare professionals with valuable information to support their clinical decisions and potentially promoting healthier lifestyles for breast cancer patients.

Age‑integrated breast imaging reporting and data system assessment model to improve the accuracy of breast cancer diagnosis

Early diagnosis is an effective strategy for decreasing breast cancer mortality. Ultrasonography is one of the most predominant imaging modalities for breast cancer owing to its convenience and non-invasiveness. The present study aimed to develop a model that integrates age with Breast Imaging Reporting and Data System (BI-RADS) lexicon to improve diagnostic accuracy of ultrasonography in breast cancer. This retrospective study comprised two cohorts: A training cohort with 975 female patients from Renmin Hospital of Wuhan University (Wuhan, China) and a validation cohort with 500 female patients from Maternal and Child Health Hospital of Hubei Province (Wuhan, China). Logistic regression was used to construct a model combining BI-RADS score with age and to determine the age-based prevalence of breast cancer to predict a cut-off age. The model that integrated age with BI-RADS scores demonstrated the best performance compared with models based solely on age or BI-RADS scores, with an area under the curve (AUC) of 0.872 (95% CI: 0.850-0.894, P<0.001). Furthermore, among participants aged <30 years, the prevalence of breast cancer was lower than the lower limit of the reference range (2%) for BI-RADS subcategory 4A lesions but within the reference range for BI-RADS category 3 lesions, as indicated by linear regression analysis. Therefore, it is recommended that management for this subset of participants are categorized as BI-RADS category 3, meaning that biopsies typically indicated could be replaced with short-term follow-up. In conclusion, the integrated assessment model based on age and BI-RADS may enhance accuracy of ultrasonography in diagnosing breast lesions and young patients with BI-RADS subcategory 4A lesions may be exempted from biopsy.

Burden of cancers in six female organs in China and worldwide

BACKGROUND

Cancers in female organs remain a substantial burden in China and worldwide. GLOBOCAN 2022 has recently updated the estimates of cancer burden. This study aims to depict the profiles of disease burden and to compare the age-specific rates of cancers in female organs in China with those in other countries.

METHODS

The latest estimates of incidence and mortality of cancers in female organs from various regions and countries were extracted from the GLOBOCAN 2022 database. We compared the proportion of total cases or deaths for cancers affecting six female organs and other tumor types in China and globally. Correlation analysis was conducted to evaluate the relationship between age-standardized incidence rate (ASIR) or age-standardized mortality rate (ASMR) and the Human Development Index (HDI). Additionally, age-specific rate curves were plotted for ten exemplary countries with different income levels.

RESULTS

Globally, there are varying burdens of female organ cancers, with higher incidence rates in Northern America and elevated rates of cervical cancer in Africa. Female organ cancers in China remain a significant burden due to their large proportion of the six tumors. A positive correlation between socioeconomic development and the incidence of breast, uterine corpus, ovarian, and vulvar cancers was noted, whereas a negative association between the HDI tiers and mortality rates was found for cervical and vaginal cancers. In 2022, Chinese women aged 50-54 years are experiencing high incidence rates of breast, cervix uteri, corpus uteri, and ovarian cancers.

CONCLUSIONS

Cancers in female organs continue to be a significant health concern for women in China and worldwide. It is crucial to implement comprehensive prevention strategies tailored to address the increasing trend among younger individuals and reduce regional disparities.

Hippophae Rhamnoides-derived Phytomedicine Nano-System Modulates Bax/Fas Pathways to Reduce Proliferation in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is the most common primary tumor of the breast with limited effectual drug availability. Therefore, the aim of the study is to develop an innovative phyto-nanomedicine (PNM) to cure TNBC with the least genotoxicity. Hereinafter, the sea buckthorn' extracted polyphenols (SBP), combine with metformin (MET), are synthesized as a novel PNM to evaluate its anti-tumor properties, effectiveness, and mechanism of action in TNBC in vitro and in vivo models. The SBP exhibits 16 new kinds of polyphenols that are been reported earlier which regulated cell development, proliferation, and programmed cell death (PCD) effectively. SBP-MET PNM inhibits MDA-MB-231 (47%), MDA-MB-436 (46%), and 4T1 (46%) cell proliferation but does not affect L929 normal murine cell development and successfully induce PCD (73.19%) in MDA-MB-231 cells. Mechanistically, in vivo SBP-MET proteome expression profiling reveals upregulation of proapoptotic Bax protein and activation of Fas signaling pathways convince downstream Daxx and FADD proteins, which further triggers Caspase-3 that prompts apoptosis in human TNBC cells by cleaving PARP-1 protein. Current findings establish innovative highly biocompatible phyto-nanomedicine that has significant potential to inhibit TNBC cell growth and induce regulated cell death (RCD) in vivo model, thereby opening a new arena for TNBC therapy.

Effectiveness of a phone-based support program on self-care self-efficacy, psychological distress, and quality of life among women newly diagnosed with breast cancer: A randomized controlled trial

PURPOSE

This study aimed to determine the effectiveness of a Phone-Based Support Program (PBSP) for newly diagnosed women with breast cancer.

METHODS

A two-group repeated measures randomized controlled trial was designed. Participants included 94 patients aged 18-60 years who were newly diagnosed with breast cancer and undergoing chemotherapy in a tertiary hospital in China. They were randomly assigned to the intervention and the control groups. Participants in the intervention group were enrolled in a four-session PBSP, consisting of four interactive sections: learning, discussion, ask-the-expert, and personal stories, plus the routine care. Outcomes included patients' self-care self-efficacy, psychological distress (including symptom distress, anxiety, and depression), and quality of life. These were assessed at three time points: pre-intervention (T1), post-intervention (T2), and follow-up (T3) by using the self-care self-efficacy scale, the M.D. Anderson Symptom Inventory, the hospital anxiety and depression scale, and the global health status scale.

RESULTS

After completion of the intervention, participants in the intervention group had significantly (p < .001) higher self-care self-efficacy (T2: Mdiff = 11.49, T3: Mdiff = 22.33), better quality of life (T2: Mdiff = 8.18, T3: Mdiff = 17.19), lower symptom distress (T2: Mdiff = -26.68, T3: Mdiff = -54.76), less anxiety (T2: Mdiff = -2.52, T3: Mdiff = -5.11), and less depression (T2: Mdiff = -3.61, T3: Mdiff = -6.71) than those in the control group.

CONCLUSION

These findings indicate that the PBSP is effective. Healthcare professionals, especially nurses, could utilize it to enhance self-care self-efficacy and quality of life, as well as decrease psychological distress among women newly diagnosed breast cancer.

REGISTRATION

The Thai Clinical Trial Registry #TCTR20230321010.

Hypofractionated versus Conventional Postmastectomy Irradiation for Breast Cancer: Comparison of Acute Skin Toxicity

Purpose

Breast cancer is the leading cause of cancer mortality among women. Radiotherapy can reduce recurrence and prolong survival of patients accepting breast-conserving surgery (BCS). This study aims to compare acute skin reactions in patients receiving hypofractionated versus conventional radiotherapy at a single institution and to summarize the relevant influencing factors.

Methods

This study analyzed 152 patients who underwent either hypofractionated or conventional whole-breast irradiation (WBI) after BCS. Acute skin toxicity was assessed according to the Radiation Therapy Oncology Group (RTOG) criteria. Predictive factors for acute skin toxicity were identified using multivariate analysis and visualized using a forest spot.

Results

Grade 0 reactions occurred in 75.34% vs 70.89%, grade 1 in 16.44% vs 15.19%, grade 2 in 8.22% vs 12.66%, and grade 3 in 0% vs 1.27% of patients receiving hypofractionated and conventional WBI, respectively. There was no statistically significant difference in acute skin reaction in patients treated with hypofractionated radiation compared with conventional radiation (P = 0.62). Multivariate analysis revealed that metastatic lymph nodes (P = 0.021), whole-breast planning target volume (PTV-WB) (P < 0.001), and tumor bed planning target volume (PTV-TB) (P = 0.002) were significantly correlated with higher rates of acute skin toxicity.

Conclusion

Hypofractionated WBI demonstrated similar acute skin adverse reactions compared to conventional WBI. These findings indicate that hypofractionated radiotherapy offers comparable tolerance, equivalent curative effect, convenience, and economic benefits, supporting its clinical promotion.

Utility of Second-look Ultrasonography in Distinguishing BI-RADS 4 Calcifications Detected on Mammography: An observational study

This study aimed to assess the utility of second-look ultrasonography (US) in differentiating breast imaging reporting and data system (BI-RADS) 4 calcifications initially detected on mammography (MG). BI-RADS 4 calcifications have a wide range of positive predictive values. We hypothesized that second-look US would help distinguish BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG. This study included 1622 pure BI-RADS 4 calcifications in 1510 women (112 patients with bilateral calcifications). The cases were randomly divided into training (85%) and testing (15%) datasets. Two nomograms were developed to differentiate BI-RADS 4 calcifications in the training dataset: the MG-US nomogram, based on multifactorial logistic regression and incorporated clinical information, MG, and second-look US characteristics, and the MG nomogram, based on clinical information and mammographic characteristics. Calibration of the MG-US nomogram was performed using calibration curves. The discriminative ability and clinical utility of both nomograms were compared using the area under the receiver operating characteristic curve (AUC) and the decision analysis curve (DCA) in the test dataset. The clinical information and imaging characteristics were comparable between the training and test datasets. The bias-corrected calibration curves of the MG-US nomogram closely approximate the ideal line for both datasets. In the test dataset, the MG-US nomogram exhibited a higher AUC than the MG nomogram (0.899 vs 0.852, P = .01). DCA demonstrated the superiority of the MG-US nomogram over the MG nomogram. Second-look US features, including ultrasonic calcifications, lesions, and moderate or marked color flow, were valuable for distinguishing BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG.

Cancer Risk in Nepal: An Analysis from Population-Based Cancer Registry of Urban, Suburban, and Rural Regions

BACKGROUND

Cancer is one of the leading causes of death globally. The low and middle-income countries (LMICs) cover a major share of the global cancer burden; however, most of the LMICs including Nepal still lack national cancer control and prevention strategies. Since 1st January 2018, the Nepal Health Research Council (NHRC) started the population-based cancer registry (PBCR) in urban, suburban, and rural regions to support evidence-based cancer control intervention in each geographical region.

METHODS

Data regarding incidence and mortality was collected by the PBCR in Nepal. Indirect and direct methods were used to collect data from health facilities and communities, respectively. Registered cases of incidence and mortality from 1st January 2019 to 31st December 2019 were used. Each case was verified for correctness and duplication followed by residence confirmation via phone call. Guidelines and principles of the International Association of Cancer Registry were followed for the overall registration process including data quality control. Ethical approval was taken from the Ethical Review Board of the NHRC.

RESULT

Age-adjusted incidence (AAR) and mortality rates in Nepal were found 65.6 and 29 per 100,000 people, respectively. Every 1 in 14 men and 1 in 13 women were at risk of getting, and 1 in 28 men and 1 in 33 women were dying of cancer before age 75 in Nepal. The highest risk was found for lung cancer (1 in 80) followed by stomach and mouth among men, and in women, breast cancer (1 in 76) was the commonest among all followed by lung and cervix.

CONCLUSION

Cancer has been growing as one of the major public health burdens in Nepal. Screening with cost-effective technology, awareness, and vaccination against HPV should be a government priority including revision of treatment protocols for cancers that have higher mortality to prevent further preventable life loss from malignancies.

A novel mitochondrial function-associated programmed cell death-related prognostic signature for predicting the prognosis of early breast cancer

Purpose: To screen mitochondrial function-associated PCD-related biomarkers and construct a risk model for predicting the prognosis of early breast cancer. Methods: Data on gene expression levels and clinical information were obtained from the TCGA database, and GSE42568 and GSE58812 datasets were obtained from GEO database. The mitochondrial function-associated programmed cell death (PCD) related genes in early breast cancer were identified, then LASSO logistic regression, SVM-RFE, random forest (RF), and multiple Cox logistic regression analysis were employed to construct a prognostic risk model. Differences in immune infiltration, drug sensitivity, and immunotherapy response were evaluated between groups. Lastly, the qRT-PCR was employed to confirm the key genes. Results: Total 1,478 DEGs were screened between normal and early breast cancer groups, and these DEGs were involved in PI3K-Akt signaling pathway, focal adhesion, and ECM-receptor interaction pathways. Then total 178 mitochondrial function-associated PCD related genes were obtained, followed by a four mitochondrial function-associated PCD related genes prognostic model and nomogram were built. In addition, total 2 immune checkpoint genes were lowly expressed in the high-risk group, including CD47 and LAG3, and the fraction of some immune cells in high- and low-risk groups had significant difference, such as macrophage, eosinophil, mast cell, etc., and the Top3 chemotherapeutics with significant differences were included FH535, MK.2206, and bicalutamide. Finally, the qRT-qPCR results shown that the CREB3L1, CAPG, SPINT1 and GRK3 mRNA expression were in line with the bioinformatics analysis results. Conclusion: Four mitochondrial function-associated PCD-related genes were identified, including CREB3L1, CAPG, SPINT1, and GRK3, and the prognostic risk model and nomogram were established for predicting the survival of early breast cancer patient. The chemotherapeutics, containing FH535, MK.2206, and bicalutamide, might be used for early breast cancer.

Application Value of Music Therapy in Improving the Emotional State and Quality of Life of Hospitalized Patients with Breast Cancer: Retrospective Study

OBJECTIVE

This study aimed to apply music therapy as a clinical treatment for patients with breast cancer (BC) experiencing mild or moderate depression during hospitalization and observe any improvements in their depression and quality of life.

METHODS

A total of 102 patients who had mild-to-moderate depression, were diagnosed with BC, and were admitted to our hospital from October 2022 to October 2023 were selected as the subjects of a retrospective analysis. According to their participation in short-term music therapy, they were divided into a control group (routine nursing treatment n = 45) and an observation group (routine nursing treatment + music therapy n = 57). Self-rating depression (SDS) scale and functional assessment of cancer therapy-breast (FACT-B) scale Chinese version 4.0 scores and patient satisfaction after treatment were compared between the two groups.

RESULTS

After treatment, the SDS scale scores and FACT-B scores of the observation group were significantly better than those of the control group (P < 0.001). The patient satisfaction in the observation group was higher than in the control group (P < 0.05).

CONCLUSION

Music therapy is a highly safe method to improve the depression and quality of life of patients with BC. It also provides a simple and convenient nondrug clinical treatment with broad application prospects.

Mechanistic insights into cisplatin response in breast tumors: Molecular determinants and drug/nanotechnology-based therapeutic opportunities

Breast cancer continues to be a major global health challenge, driving the need for effective therapeutic strategies. Cisplatin, a powerful chemotherapeutic agent, is widely used in breast cancer treatment. However, its effectiveness is often limited by systemic toxicity and the development of drug resistance. This review examines the molecular factors that influence cisplatin response and resistance, offering crucial insights for the scientific community. It highlights the significance of understanding cisplatin resistance's genetic and epigenetic contributors, which could lead to more personalized treatment approaches. Additionally, the review explores innovative strategies to counteract cisplatin resistance, including combination therapies, nanoparticle-based drug delivery systems, and targeted therapies. These approaches are under intensive investigation and promise to enhance breast cancer treatment outcomes. This comprehensive discussion is a valuable resource to advance breast cancer therapeutics and address the challenge of cisplatin resistance.

Gold nanomaterials: important vectors in biosensing of breast cancer biomarkers

Breast cancer (BC) is one of the most common malignant tumors in women worldwide, and its incidence is increasing every year. Early diagnosis and treatment are critical to improve the curability and prognosis of patients. However, existing detection methods often suffer from insufficient sensitivity and specificity, which limits their clinical application. Fortunately, the rapid development of nanotechnology offers new possibilities for diagnosing BC. For example, the unique physicochemical properties of gold nanomaterials (Au NMs), such as fascinating optical properties and quantum size effect, along with excellent biocompatibility and modifiability, enable them to manifest great potential in the field of biosensing, especially in the detection of BC biomarkers. Through fine surface modification and functionalization, Au NMs can accurately bind to specific antibodies, nucleic acids, and other biomolecules, thus achieving sensitive and precise detection of specific biomarkers. Here, we focus on the research progress of Au NMs as a key biosensing vector in BC biomarker detection. From four major perspectives of early diagnosis, prognostic evaluation, risk prediction, and bioimaging applications, we have thoroughly analyzed the broad application of Au NMs in BC biomarker detection and prospectively addressed its possible future trends. We hope this review will provide more comprehensive ideas for future researchers and promote the further development of this field.

What Breast Cancer Screening Program do Rural Women Prefer? A Discrete Choice Experiment in Jiangsu, China

BACKGROUND

Chinese rural women aged 35-64 years are encouraged to complete breast cancer screening (BCS) free of charge. However, it is challenging to reach a satisfying BCS uptake rate. In this study, rural women's preferences and preferences heterogeneity were measured for the development of strategies to enhance participation in BCS.

METHODS

A cross-sectional survey with a discrete choice experiment (DCE) was conducted via convenience sampling via face-to-face interviews in Jiangsu, China. Six DCE attributes were identified through a systematic literature review; our previous study of Chinese rural women's BCS intentions; a qualitative work involving in-depth interviews with rural women (n = 13), medical staff (n = 4), and health care managers (n = 2); and knowledge of realistic and actionable policy. The D-efficient design was generated using Ngene 1.3.0. A mixed logit model (MXL) in Stata 18.0 was used to estimate the main effect of attribute levels on rural women's preferences. The relative importance and willingness to utilize BCS services (WTU) were also estimated. The heterogeneous preferences were analyzed by a latent class model (LCM). Sociodemographic status was used to predict the characteristics of class membership. The WTU for different classes was also calculated.

RESULTS

A total of 451 rural women, aged 35-64 years, were recruited. The MXL results revealed that the screening interval (SI) was the most important attribute for rural women with regard to utilizing BCS services, followed by the level of screening, the attitude of medical staff, ways to get knowledge and information, people who recommend screening, and time spent on screening (TSS). Rural women preferred a BCS service with a shorter TSS; access to knowledge and information through multiple approaches; a shorter SI; a recommendation from medical staff or workers from the village or community, and others; the enthusiasm of medical staff; and medical staff with longer tenures in the field. Two classes named "process driven" and "efficiency driven" were identified by the preference heterogeneity analysis of the LCM.

CONCLUSION

There is a higher uptake of breast cancer screening when services are tailored to women's preferences. The screening interval was the most important attribute for rural women in China with a preference for a yearly screening interval versus longer intervals.

ACSL3 regulates breast cancer progression via lipid metabolism reprogramming and the YES1/YAP axis

OBJECTIVE

Mitochondrial fatty acid oxidation is a metabolic pathway whose dysregulation is recognized as a critical factor in various cancers, because it sustains cancer cell survival, proliferation, and metastasis. The acyl-CoA synthetase long-chain (ACSL) family is known to activate long-chain fatty acids, yet the specific role of ACSL3 in breast cancer has not been determined.

METHODS

We assessed the prognostic value of ACSL3 in breast cancer by using data from tumor samples. Gain-of-function and loss-of-function assays were also conducted to determine the roles and downstream regulatory mechanisms of ACSL3 in vitro and in vivo.

RESULTS

ACSL3 expression was notably downregulated in breast cancer tissues compared with normal tissues, and this phenotype correlated with improved survival outcomes. Functional experiments revealed that ACSL3 knockdown in breast cancer cells promoted cell proliferation, migration, and epithelial-mesenchymal transition. Mechanistically, ACSL3 was found to inhibit β-oxidation and the formation of associated byproducts, thereby suppressing malignant behavior in breast cancer. Importantly, ACSL3 was found to interact with YES proto-oncogene 1, a member of the Src family of tyrosine kinases, and to suppress its activation through phosphorylation at Tyr419. The decrease in activated YES1 consequently inhibited YAP1 nuclear colocalization and transcriptional complex formation, and the expression of its downstream genes in breast cancer cell nuclei.

CONCLUSIONS

ACSL3 suppresses breast cancer progression by impeding lipid metabolism reprogramming, and inhibiting malignant behaviors through phospho-YES1 mediated inhibition of YAP1 and its downstream pathways. These findings suggest that ACSL3 may serve as a potential biomarker and target for comprehensive therapeutic strategies for breast cancer.

A bibliometric study of the intellectual base and global research hotspots for single-cell sequencing [2009-2022] in breast cancer

Background

Breast cancer is the most widespread malignant tumor worldwide. Single-cell sequencing technology offers novel insights and methods to understand the onset, progression, and treatment of tumors. Nevertheless, there is currently an absence of a thorough and unbiased report on the comprehensive research status of single-cell sequencing in breast cancer. This study seeks to summarize and quantify the dynamics and trends of research on breast cancer single-cell sequencing by bibliometric analysis.

Methods

Research articles and reviews related to breast cancer single-cell sequencing were selected from the WoSCC database. Visualization of data regarding countries, institutions, authors, references, and keywords was performed by CiteSpace and VOSviewer software.

Results

583 articles and reviews were analyzed in this study. The quantity of publications related to breast cancer single-cell sequencing has been increasing annually. These studies originate from 302 institutions in 46 countries, with YMAX S WICHA producing the most publications and WANG Y being the most cited author. Nature Communications is the most researched journal, while Nature holds the highest number of citations. These journals predominantly cover topics in the molecular/biological/immunological fields. Moreover, an analysis of reference and keyword bursts revealed that current research trends in this area are primarily centered on "clonal evolution," "tumor microenvironment," and "immunotherapy."

Conclusion

Breast cancer single-cell sequencing is a rapidly growing area of scientific interest. Future research requires more frequent and in-depth collaborations among countries, institutions, and authors. Furthermore, "clonal evolution," "tumor microenvironment," and "immunotherapy" are likely to become major focal points in upcoming research on breast cancer single-cell sequencing.

Dyadic effects of financial toxicity and social support on the fear of cancer recurrence in breast cancer patients and caregivers: an actor-partner interdependence mediation model

PURPOSE

In this study, the actor-partner interdependence mediation model (APIMeM) was applied to breast cancer patients and their caregivers to assess the factors that affect the fear of cancer recurrence. In particular, the purpose of this study was to evaluate the mediating effect of social support on financial toxicity and the fear of cancer recurrence, providing an effective basis for developing plans to reduce the level of fear of cancer recurrence.

METHODS

This study employed a cross-sectional design, and 405 dyads of breast cancer patients and their caregivers were enrolled. Financial toxicity, social support, and fear of cancer recurrence were assessed by computing comprehensive scores for financial toxicity based on patient-reported outcome measures, the Social Support Rating Scale, and the Fear of Cancer Recurrence Inventory Short Form, respectively. The data were analysed using SPSS 24.0 and AMOS 23.0.

RESULTS

The results showed that the fear of cancer recurrence of breast cancer patients and their caregivers was significantly related to dyadic financial toxicity and social support. In addition, the financial toxicity of breast cancer patients and their caregivers had significant actor effects and partner effects on the fear of cancer recurrence through dyadic social support.

CONCLUSIONS

The financial toxicity of breast cancer patients and their caregivers could produce actor and partner effects on the fear of cancer recurrence through the mediation of social support, which provided empirical support for improving reducing the level of fear of cancer recurrence among patients and caregivers at the dyadic level.

Improved PAA algorithm for breast mass detection in mammograms

Mammography screening is instrumental in the early detection and diagnosis of breast cancer by identifying masses in mammograms. With the rapid development of deep learning, numerous deep learning-based object detection algorithms have been explored for mass detection studies. However, these methods often yield a high false positive rate per image (FPPI) while achieving a high true positive rate (TPR). To maintain a higher TPR while also ensuring lower FPPI, we improved the Probability Anchor Assignment (PAA) algorithm to enhance the detection capability for mammographic characteristics with our previous work. We considered three dimensions: the backbone network, feature fusion module, and dense detection heads. The final experiment showed the effectiveness of the proposed method, and the TPR/FPPI values of the final improved PAA algorithm were 0.96/0.56 on the INbreast datasets. Compared to other methods, our method stands distinguished with its effectiveness in addressing the imbalance between positive and negative classes in cases of single lesion detection.

Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis

Background

Prediction of high-risk depression trajectories in the first year following breast cancer diagnosis with fMRI-related brain connectomics is unclear.

Methods

The Be Resilient to Breast Cancer (BRBC) study is a multicenter trial in which 189/232 participants (81.5%) completed baseline resting-state functional magnetic resonance imaging (rs-fMRI) and four sequential assessments of depression (T0-T3). The latent growth mixture model (LGMM) was utilized to differentiate depression profiles (high vs. low risk) and was followed by multivoxel pattern analysis (MVPA) to recognize distinct brain connectivity patterns. The incremental value of brain connectomics in the prediction model was also estimated.

Results

Four depression profiles were recognized and classified into high-risk (delayed and chronic, 14.8% and 12.7%) and low-risk (resilient and recovery, 50.3% and 22.2%). Frontal medial cortex and frontal pole were identified as two important brain areas against the high-risk profile outcome. The prediction model achieved 16.82-76.21% in NRI and 12.63-50.74% in IDI when brain connectomics were included.

Conclusion

Brain connectomics can optimize the prediction against high-risk depression profiles in the first year since breast cancer diagnoses.

Stability and variability of molecular subtypes: comparative analysis of primary and metastatic triple-negative breast cancer

OBJECTIVE

Triple-negative breast cancer (TNBC) is a heterogeneous and aggressive cancer. Although our previous study classified primary TNBC into four subtypes, comprehensive longitudinal investigations are lacking.

METHODS

We assembled a large-scale, real-world cohort comprised of 880 TNBC patients [465 early-stage TNBC (eTNBC) and 415 metastatic TNBC (mTNBC) patients] who were treated at Fudan University Shanghai Cancer Center. The longitudinal dynamics of TNBC subtypes during disease progression were elucidated in this patient cohort. Comprehensive analysis was performed to compare primary and metastatic lesions within specific TNBC subtypes.

RESULTS

The recurrence and metastasis rates within 3 years after initial diagnosis in the eTNBC cohort were 10.1% (47/465). The median overall survival (OS) in the mTNBC cohort was 27.2 months [95% confidence interval (CI), 24.4-30.2 months], which indicated a poor prognosis. The prognostic significance of the original molecular subtypes in both eTNBC and mTNBC patients was confirmed. Consistent molecular subtypes were maintained in 77.5% of the patients throughout disease progression with the mesenchymal-like (MES) subtype demonstrating a tendency for subtype transition and brain metastasis. Additionally, a precision treatment strategy based on the metastatic MES subtype of target lesions resulted in improved progression-free survival in the FUTURE trial.

CONCLUSIONS

Our longitudinal study comprehensively revealed the clinical characteristics and survival of patients with the original TNBC subtypes and validated the consistency of most molecular subtypes throughout disease progression. However, we emphasize the major importance of repeat pathologic confirmation of the MES subtype.

Mechanistic exploration and experimental validation of the Xiaochaihu decoction for the treatment of breast cancer by network pharmacology

BACKGROUND

Xiaochaihu (XCH) decoction is a traditional Chinese prescription that has been recorded in the pharmacopeia of the People's Republic of China. In China, the XCH decoction is used clinically to treat a variety of tumors, including breast cancer. However, its potential mechanism of action is still undefined.

METHODS

The chemical compounds in the XCH decoction were identified via Q Exactive Orbitrap LC-MS/MS. Then, we screened the active ingredients and targets in the XCH decoction from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Next, Cytoscape and Metascape were used to construct an active ingredient-target-disease network, which included a protein-protein interaction (PPI) network, GO enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, we used molecular docking and in vitro experiments to verify the results of network pharmacology analysis.

RESULTS

More than 70 major compounds were identified by Q Exactive Orbitrap LC-MS/MS analysis from the XCH decoction. A total of 162 active ingredients and 153 targets related to the XCH decoction and breast cancer were identified, and a compound-target-disease network was constructed. GO and KEGG analyses revealed that the XCH decoction regulated the drug response, apoptosis process, cancer pathway, and PI3K/Akt signaling pathway. Molecular docking and experimental validation indicated that the XCH decoction suppressed proliferation and induced apoptosis in breast cancer cells by regulating the expression of apoptosis-related proteins and inhibiting the PI3K/Akt pathway.

CONCLUSIONS

This study suggested that the XCH decoction can be used to treat breast cancer by inhibiting cell proliferation, inducing apoptosis and downregulating the PI3K/Akt signaling pathway.

Prospective study of AI-assisted prediction of breast malignancies in physical health examinations: role of off-the-shelf AI software and comparison to radiologist performance

Objective

In physical health examinations, breast sonography is a commonly used imaging method, but it can lead to repeated exams and unnecessary biopsy due to discrepancies among radiologists and health centers. This study explores the role of off-the-shelf artificial intelligence (AI) software in assisting radiologists to classify incidentally found breast masses in two health centers.

Methods

Female patients undergoing breast ultrasound examinations with incidentally discovered breast masses were categorized according to the 5th edition of the Breast Imaging Reporting and Data System (BI-RADS), with categories 3 to 5 included in this study. The examinations were conducted at two municipal health centers from May 2021 to May 2023.The final pathological results from surgical resection or biopsy served as the gold standard for comparison. Ultrasonographic images were obtained in longitudinal and transverse sections, and two junior radiologists and one senior radiologist independently assessed the images without knowing the pathological findings. The BI-RADS classification was adjusted following AI assistance, and diagnostic performance was compared using receiver operating characteristic curves.

Results

A total of 196 patients with 202 breast masses were included in the study, with pathological results confirming 107 benign and 95 malignant masses. The receiver operating characteristic curve showed that experienced breast radiologists had higher diagnostic performance in BI-RADS classification than junior radiologists, similar to AI classification (AUC = 0.936, 0.806, 0.896, and 0.950, p < 0.05). The AI software improved the accuracy, sensitivity, and negative predictive value of the adjusted BI-RADS classification for the junior radiologists' group (p< 0.05), while no difference was observed in the senior radiologist group. Furthermore, AI increased the negative predictive value for BI-RADS 4a masses and the positive predictive value for 4b masses among radiologists (p < 0.05). AI enhances the sensitivity of invasive breast cancer detection more effectively than ductal carcinoma in situ and rare subtypes of breast cancer.

Conclusions

The AI software enhances diagnostic efficiency for breast masses, reducing the performance gap between junior and senior radiologists, particularly for BI-RADS 4a and 4b masses. This improvement reduces unnecessary repeat examinations and biopsies, optimizing medical resource utilization and enhancing overall diagnostic effectiveness.

Tumor Cell-Derived Exosomal miR-191-5p Activates M2-Subtype Macrophages Through SOCS3 to Facilitate Breast Cancer

Differential activation of macrophages is associated with poor progression of breast cancer (BC). Many reports have elucidated the important involvement of exosomes produced by cancer cells in remodeling the macrophage activation phenotype to promote tumor expansion and invasion. However, the underlying mechanisms by which exosomes secreted by BC cells facilitate macrophage M2 polarization remain enigmatic and worth exploring. In this study, quantitative real-time PCR (RT-qPCR) was used to investigate miR-191-5p expression in BC tumor tissues and cells. Cell counting kit 8 (CCK-8), transwell, and flow cytometry were applied to assess the functional role of miR-191-5p in BC. Isolated nano-vesicles were identified using transmission electron microscopy and western blotting. We also observed that miR-191-5p was significantly elevated in BC clinical samples and that inhibition of miR-191-5p hindered the growth and metastasis of BC cells. Importantly, BC cells successfully accelerated macrophage M2-like polarization by directly transferring exosomes to macrophages, resulting in increased miR-191-5p levels in macrophages. Mechanistically, exosomal miR-191-5p directly inhibited the suppressors of cytokine signaling 3 (SOCS3) expression in macrophages and aggravated macrophage M2 polarization. Similarly, si-SOCS3 transfected macrophages boosted BC cell migration and invasion in a positive feedback manner. Overall, our results manifested a pro-growth and pro-metastatic role between the two cells by elucidating the crucial role of exosomal miR-191-5p in stimulating M2 macrophage polarization and mediating communication between BC cells and macrophages. These findings opened up new horizons for the development of BC therapeutic strategies.

[Breast cancer lesion segmentation based on co-learning feature fusion and Transformer]

The PET/CT imaging technology combining positron emission tomography (PET) and computed tomography (CT) is the most advanced imaging examination method currently, and is mainly used for tumor screening, differential diagnosis of benign and malignant tumors, staging and grading. This paper proposes a method for breast cancer lesion segmentation based on PET/CT bimodal images, and designs a dual-path U-Net framework, which mainly includes three modules: encoder module, feature fusion module and decoder module. Among them, the encoder module uses traditional convolution for feature extraction of single mode image; The feature fusion module adopts collaborative learning feature fusion technology and uses Transformer to extract the global features of the fusion image; The decoder module mainly uses multi-layer perceptron to achieve lesion segmentation. This experiment uses actual clinical PET/CT data to evaluate the effectiveness of the algorithm. The experimental results show that the accuracy, recall and accuracy of breast cancer lesion segmentation are 95.67%, 97.58% and 96.16%, respectively, which are better than the baseline algorithm. Therefore, it proves the rationality of the single and bimodal feature extraction method combining convolution and Transformer in the experimental design of this article, and provides reference for feature extraction methods for tasks such as multimodal medical image segmentation or classification.

FBXO8 is a novel prognostic biomarker in different molecular subtypes of breast cancer and suppresses breast cancer progression by targeting c-MYC

F-box only protein 8 (FBXO8) is a recently identified member of the F-box proteins, showcasing its novelty in this protein family. Extensive research has established FBXO8's role as a tumor suppressor in various cancers, including hepatocellular carcinoma, and colorectal cancer, Nevertheless, its functional, mechanistic, and prognostic roles in primary and metastatic breast cancer, particularly in different molecular subtypes of breast cancer, various stages, as well as its potential implications in immunotherapy, tumor microenvironment, and prognostic survival among breast cancer patients, remain unexplored. In this article, we employed a multi-dimensional investigation leveraging TCGA, TIMER, TISIDB, STRING, MEXPRESS, UALCAN, and cBioPortal databases to explore the underlying suppression mechanism of FBXO8 in breast cancer. FBXO8 negatively correlates with MYC, NOTCH, WNT and inflammatory signaling pathways in breast tumor microenvironment. Furthermore we conducted RT-PCR, western blot, cell proliferation, cell migration, and mRNA target gene RT-PCR analyses to elucidate the role of FBXO8 in breast cancer progression. Mechanistically, PTEN and FBXW7 expression were down-regulated and MYC, IL10, IL6, NOTCH1, WNT6 mRNA expressions were up-regulated in FBXO8 knockdown cell lines. c-MYC silenced cells showed an increase in FBXO8 protein level, which suggests a negative feedback loop between FBXO8 and c-MYC to control breast cancer metastasis. These findings illuminate the novel role of FBXO8 as a prognostic and therapeutic target across different molecular subtypes of breast cancer. Finally, through the utilization of virtual screening and Molecular Dynamics simulations, we successfully identified two FDA-approved medications, Ledipasvir and Paritaprevir, that demonstrated robust binding capabilities and interactions with FBXO8.