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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Soluble Periostin is a potential surveillance biomarker for early and long-term response to chemotherapy in advanced breast cancer

BACKGROUND

Noninvasive biomarkers for the assessment of response to chemotherapy in advanced breast cancer (BCa) are essential for optimized therapeutic decision-making. We evaluated the potential of soluble Periostin (POSTN) in circulation as a novel biomarker for chemotherapy efficacy monitoring.

METHODS

Two hundred and thirty-one patients with different stages of BCa were included. Of those patients, 58 patients with inoperable metastatic disease receiving HER2-targeted or non-targeted chemotherapy were enrolled to assess the performances of markers in recapitulating the chemotherapy efficacy assessed by imaging. POSTN, together with CA153 or CEA at different time points (C0, C2, and C4) were determined.

RESULTS

POSTN levels were significantly associated with tumor volume (P < 0.0001) and TNM stages (P < 0.0001) of BCa. For early monitoring, dynamics of POSTN could recapitulate the chemotherapy efficacy among all molecular subtypes (Cohen's weighted kappa = 0.638, P < 0.0001), much better than that of carcinoembryonic antigen (CEA) and cancer antigen 153 (CA15-3). For early partial response, superior performance of POSTN was observed (Cohen's weighted kappa = 0.827, P < 0.0001) in cases with baseline levels above 17.19 ng/mL. For long-term monitoring, the POSTN response was observed to be strongly consistent with the course of the disease. Moreover, progression free survival analysis showed that patients experienced a significant early decrease of POSTN tended to obtain more benefits from the treatments.

CONCLUSIONS

The current study suggests that soluble POSTN is an informative serum biomarker to complement the current clinical approaches for early and long-term chemotherapy efficacy monitoring in advanced BCa.

Subjective well-being among Chinese breast cancer patients: The unique contributions of death anxiety, self-esteem, and social support

Previous studies have indicated that cancer patients may have a lower level of subjective well-being (SWB); nevertheless, the underlying factors for this phenomenon remain insufficiently investigated. Based on the characteristics of Chinese breast cancer patients and the unique culture, this study explored the independent contributions of death anxiety, self-esteem, and social support to SWB from the protective and risk perspectives. A cross-sectional survey recruited 514 females with breast cancer and collected participants' demographic and the above variables. The results found that death anxiety independently predicted SWB in a negative direction (β = -0.36, p < 0.001). In addition, self-esteem (β = 0.38, p < 0.001) and social support (β = 0.14, p < 0.001) also had the unique positive effects on SWB. These findings offer new insights into strengthening breast cancer patients' SWB, for instance, using relevant interventions to reduce death anxiety and improve self-esteem and social support.

Prognostic value and relapse pattern of HER2-low in hormone receptor-positive breast cancer

BACKGROUND

A new concept of HER2-low has emerged in recent years. However, the prognostic value and the relapse pattern of HER2-low is unclear.

METHODS

Our study included patients diagnosed with HER2-negative/hormone receptor-positive breast cancer to explore the differences in survival outcomes between the HER2-low group and the HER2-zero group. More importantly, we explored different recurrence patterns, including the comparison of metastatic sites and recurrence time curve between the two groups.

RESULTS

A total of 797 patients with hormone receptor-positive breast cancer were analyzed. Similar disease-free survival (DFS) was observed between the HER2-low group and HER2-zero group (HR 0.84, 95% CI: 0.61-1.16, p = 0.290). There was also no significant difference in OS between the HER2-low group and the HER2-zero group (HR 0.77, 95% CI: 0.46-1.28, p = 0.310). When IHC 1+ and 0 were taken as a group, the IHC 2+ group had significantly better DFS than the IHC 1+ and 0 group in some subgroups. The risk of bone metastasis in patients with HER2 IHC 1+ and 0 was significantly higher than that of patients with HER2 IHC 2+ (12.7% vs. 4.7%, p < 0.001). Compared with the HER2-zero group, we found that the HER2-low group had a more obvious peak in mortality at the time of postoperative 80th-100th month.

CONCLUSIONS

No significant difference in DFS and OS between the HER2-low group and the HER2-zero group was observed. Patients with HER2 IHC 1+ and 0 tend to develop bone metastasis. The HER2-low group had a more obvious second peak in mortality.

Trastuzumab deruxtecan versus chemotherapy treated in patients with HER2-positive metastatic breast cancer: a cost-effectiveness analysis based on the DESTINY-Breast02 trial

OBJECTIVES

This study aims to conduct a cost-effectiveness analysis of trastuzumab deruxtecan versus chemotherapy for HER2-positive metastatic breast cancer from the perspective of the Chinese healthcare system.

METHODS

A three-state partitioned survival model was constructed to simulate the treatment. The analysis yielded information on the costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). Sensitivity analyses have been carried out to scrutinize the model's uncertainties.

RESULTS

The total cost for the trastuzumab deruxtecan group was found to be $228601.57, while the chemotherapy group incurred a total cost of $84901.38. It was found that the trastuzumab deruxtecan group exhibited an incremental gain of 2.95 QALYs in comparison to the chemotherapy group. However, this additional benefit came at an additional cost of $143700.19 for the trastuzumab deruxtecan treatment, calculated in the ICER at $48711.93/QALY, which surpasses the willingness-to-pay threshold of $37304.34/QALY in China. Sensitivity analyses indicated that the results were robust to variations in key parameters and assumptions.

CONCLUSION

Trastuzumab deruxtecan was not a cost-effective treatment option for patients with HER2-positive metastatic breast cancer in China. However, the use of trastuzumab deruxtecan may offer a cost-effective treatment alternative provided that its price is diminished.

The presence of autoantibodies as a potential prognostic biomarker for breast cancer

The presence of autoantibodies is closely associated with the occurrence and development of cancer. Autoantibodies can be used as biomarkers for early breast cancer diagnosis. However, the relationship between autoantibodies and the prognosis of breast cancer patients remains elusive. This retrospective study aimed to investigate the correlation between the presence of autoantibodies and outcomes in breast cancer patients. This study included a total of 155 patients from People's Hospital of Henan University (Zhengzhou, China) who were diagnosed with breast cancer from January 2017 to December 2021. The enrolled patients' clinicopathological features were collected, and 88 patients were ultimately involved in the analysis. Univariate and multivariate Cox regression analyses were performed to search for the risk factors related to the poor prognosis of breast cancer patients. The association between the presence of autoantibodies and patients' survival was analysed using Kaplan-Meier curves. After screening, there were 38 autoantibody-positive cases and 50 autoantibody-negative cases. Breast cancer patients with autoantibody-positive had a 57% lower risk of death compared with autoantibody-negative patients. Multivariate Cox regression analysis indicated that the presence of autoantibody could be a potential prognostic predictor for breast cancer, independent of age, histological grade, pathological classification, clinical stage, and the expression levels of hormonal receptors. In addition, autoantibody-positive breast cancer patients had longer progression-free survival and overall survival compared with autoantibody-negative cases. Positive autoantibody was found as an independent biomarker of better prognosis in breast cancer patients, providing a new strategy for the prognostic assessment of breast cancer patients.

CYB561 promotes HER2+ breast cancer proliferation by inhibiting H2AFY degradation

Breast cancer (BRCA) has a high incidence and mortality rate among women. Different molecular subtypes of breast cancer have different prognoses and require personalized therapies. It is imperative to find novel therapeutic targets for different molecular subtypes of BRCA. Here, we demonstrated for the first time that Cytochromeb561 (CYB561) is highly expressed in BRCA and correlates with poor prognosis, especially in HER2-positive BRCA. Overexpression of CYB561 could upregulate macroH2A (H2AFY) expression in HER2-positive BRCA cells through inhibition of H2AFY ubiquitination, and high expression of CYB561 in HER2-positive BRCA cells could promote the proliferation and migration of cells. Furthermore, we have demonstrated that CYB561 regulates H2AFY expression, thereby influencing the expression of NF-κB, a downstream molecule of H2AFY. These findings have been validated through in vivo experiments. In conclusion, we propose that CYB561 may represent a novel therapeutic target for the treatment of HER2-positive BRCA. Graphical abstract CYB561 promotes the proliferation of HER2+ BRCA cells: CYB561 enhances the expression of H2AFY by inhibiting its ubiquitination, which leads to an increase expression of NF-κB in the nucleus. H2AFY, together with NF-κB, promotes the proliferation of HER2+ BRCA cells.

Design, Synthesis, Characterisation, and Evaluation of Substituted Quinolin-2-one Derivatives as Possible Anti-lung Cancer Agents

BACKGROUND

According to 2022, the estimated number of cancer cases in India was found to be 1,461,427. Lung cancers are the leading cause of death among Indian males. Research on cancer has been conducted to develop better treatments that are safe and effective and could be used to diagnose cancer at an early stage. It was found that quinolin-2-one possesses anticancer activity, which led us to synthesize substituted quinolin-2-one derivatives that can provide a longer future to cancer patients and decrease the risk of dying from cancer.

OBJECTIVE

This study aimed to carry out the design, synthesis, characterisation, and evaluation of novel substituted quinolin-2-one analogues as possible anti-lung cancer agents.

METHODS

Compound III a/III b on reaction with acids, sodium acetate and ethylchloroacetate, substituted benzaldehyde, phthalic anhydride, and 2N sodium hydroxide yielded compounds IV a/ IV b, V a/ V b, VI a/ VI b, VI c/ VI d, VI e/ VI f, VII a/ VII b, and VIII a/ VIII b, respectively.

RESULT

Among all the synthesised derivatives, compound VII a was found to be most potent with a MolDock score of -132.78 as compared to standard drug imatinib (-114.37) and active ligand 4- anilinoquinazoline (-126.71). All the synthesized derivatives showed a good ADME profile, but compound VII a showed the best ADME data among all the synthesised derivatives. All the synthesised compounds were tested for their in vitro anticancer activity against the Hop-62 (human lung cancer) cell line, out of which compound VII a was found to be most potent, with a percent control growth of -51.7% at a concentration of 80 μg/ml, which was in comparable to the positive control, Adriamycin (-70.5%) and standard imatinib (-84.0%).

CONCLUSION

Compound VII a showed the highest MolDock score and was most potent against human lung cancer cell line Hop-62.

Feasibility of monitoring Global Breast Cancer Initiative Framework key performance indicators in 21 Asian National Cancer Centers Alliance member countries

Background

The Global Breast Cancer Initiative (GBCI) Framework, launched by the World Health Organisation (WHO) in 2023, emphasises assessing, strengthening, and scaling up services for the early detection and management of breast cancer. This study aims to determine the feasibility of monitoring the status of breast cancer control in the 21 Asian National Cancer Centers Alliance (ANCCA) countries based on the three GBCI Framework key performance indicators (KPIs): stage at diagnosis, time to diagnosis, and treatment completion.

Methods

We reviewed published literature on breast cancer control among 21 ANCCA countries from May to July 2023 to establish data availability and compiled the latest descriptive statistics and sources of the indicators using a standardised data collection form. We performed bivariate Pearson's correlation analysis to measure the strength of correlation between stage at diagnosis, mortality and survival rates, and universal health coverage.

Findings

Only 12 (57%) ANCCA member countries published national cancer registry reports on breast cancer age-standardised incidence rate (ASIR) and age-standardised mortality rate (ASMR). Indonesia, Myanmar, and Nepal had provincial data and others relied on WHO's Global Cancer Observatory (GLOBOCAN) estimates. GLOBOCAN data differed from the reported national statistics by 5-10% in Bhutan, Indonesia, Iran, the Republic of Korea, Singapore, and Thailand and >10% in China, India, Malaysia, Mongolia, and Sri Lanka. The proportion of patients diagnosed in stages I and II strongly correlated with the five-year survival rate and with the universal health coverage (UHC) index. Three countries (14%) reported national data with >60% of invasive breast cancer patients diagnosed at stages I and II, and a five-year survival rate of >80%. Over 60% of the ANCCA countries had no published national data on breast cancer staging, the time interval from presentation to diagnosis, and diagnosis to treatment. Five (24%) countries reported data on treatment completion. The definition of delayed diagnosis and treatment completion varied across countries.

Interpretation

GBCI's Pillar 1 KPI correlates strongly with five-year survival rate and with the UHC index. Most ANCCA countries lacked national data on cancer staging, timely diagnosis, and treatment completion KPIs. While institutional-level data were available in some countries, they may not represent the nationwide status. Strengthening cancer surveillance is crucial for effective breast cancer control. The GBCI Framework indicators warrant more detailed definitions for standardised data collection. Surrogate indicators which are measurable and manageable in country-specific settings, could be considered for monitoring GBCI indicators. Ensuring UHC and addressing health inequalities are essential to early diagnosis and treatment of breast cancer.

Funding

Funding for this research article's processing fee (APC) will be provided by the affiliated institution to support the open-access publication of this work. The funding body is not involved in the study design; collection, management, analysis and interpretation of data; or the decision to submit for publication. The funding body will be informed of any planned publications, and documentation provided.

Cancer Burden and Attributable Risk Factors of Cancers in China: Epidemiological Insights and Comparisons With India

BACKGROUND

Cancer is a major health concern in China. Understanding the epidemiology of cancer can guide the development of effective prevention and control strategies. This study aimed to comprehensively analyze the cancer burden, time trends, and attributable risk factors of cancers in China and compare them with those in India.

METHODS

We utilized the GLOBOCAN database for 2022, Cancer Incidence in Five Continents (C15 plus) series, and Global Burden of Disease (GBD) 2021 to extract data on cancer incidence, mortality, disability-adjusted life years (DALYs), and risk factors. Time-trend analysis was performed using a join-point regression model. Correlations between cancer DALY rates and risk factors were analyzed using linear regression.

RESULTS

In 2022, China experienced 4,824,703 new cancer cases and 2,574,176 cancer-related deaths. Cancers also caused approximately 71.2 million DALYs in China in 2021. Compared with India, China has higher incidence, mortality, and DALY rates for various cancers. Breast and thyroid cancers in China have shown a rapid increase in the age-standardized incidence rate (ASIR), along with a substantial burden of lung, stomach, esophageal, and colorectal cancer. However, stomach and liver cancers in China showed a downward trend in ASIR. In 2021, diet low in milk was a major risk factor among females for colorectal cancer DALYs in China (23% of age-standardized DALYs) and India (22.9%). In China, smoking has been associated with increased DALYs due to lung cancer.

CONCLUSIONS

China has a heavier cancer burden than India. The heavy burden of lung, stomach, esophageal, and colorectal cancers, combined with the rising incidence of breast and thyroid cancers, pose a critical challenge to public health in China. Cancer burden may be reduced through public health initiatives that prioritize primary prevention, prompt identification, and therapeutic intervention.

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.

Alkaloids as Additional Weapons in the Fight against Breast Cancer: A Review

Breast carcinoma is among the most frequent cancerous tumour in females around the globe. The major modalities now employed in the therapeutic management of breast cancer include surgeries, chemotherapy, and specialized medicines. Despite their potential to help individuals' problems, they are also associated with many negative impacts. As a result, natural products are increasingly regarded to be a preferable alternative. Alkaloids are essential biochemical substances that can be used to develop new drugs. Numerous alkaloids that originate from natural plants have been shown in vitro and in vivo to have anti-proliferation and anti-metastasis actions on different kinds of carcinoma. According to the data collected in this study, the utilization of alkaloids as anti-tumor medicines appears to be extremely potent; nevertheless, extensive studies and clinical trials are required before utilizing individual alkaloids. In this overview, we provide a detailed and vital exploration of pre-existing alkaloids possessing anti-tumor activities due to bioactive compounds. This study also includes an overview of synthesized analogues and pharmacological characteristics that will be beneficial to scientists working on alkaloids for medicinal purposes. In a recent survey of the literature, alkaloids are an important component of plantderived antitumor medicines that hold great potential for the future development of cancer therapy and preventive therapies. We have also discussed structural analysis relationship (SAR) studies. Moreover, it covers clinical trial medications and FDA-approved medicines from the last five years that will be useful in further research.

Breast cancer: Epidemiology, risk factors and screening

Breast cancer is a global health concern with a significant impact on the well-being of women. Worldwide, the past several decades have witnessed changes in the incidence and mortality of breast cancer. Additionally, epidemiological data reveal distinct geographic and demographic disparities globally. A range of modifiable and non-modifiable risk factors are established as being associated with an increased risk of developing breast cancer. This review discusses genetic, hormonal, behavioral, environmental, and breast-related risk factors. Screening plays a critical role in the effective management of breast cancer. Various screening modalities, including mammography, ultrasound, magnetic resonance imaging (MRI), and physical examination, have different applications, and a combination of these modalities is applied in practice. Current screening recommendations are based on factors including age and risk, with a significant emphasis on minimizing potential harms to achieve an optimal benefits-to-harms ratio. This review provides a comprehensive insight into the epidemiology, risk factors, and screening of breast cancer. Understanding these elements is crucial for improving breast cancer management and reducing its burden on affected individuals and healthcare systems.

A real-world data analysis-based study of Chinese medicine treatment patterns after breast cancer surgery

Based on the real clinical data of Hospital Information System to explore the common clinical syndromes of traditional Chinese medicine after breast cancer surgery, analysis of traditional Chinese medicine in the treatment of breast cancer after the compatibility law. The real medical records of breast cancer patients after surgery in a tertiary hospital in Sichuan Province were collected and screened to build a medical record database. Python language was used for data preprocessing to remove outliers and fill in missing values. Using International Business Machines Corporation (IBM) Statistical Product and Service Solutions (SPSS) Modeler software, Apriori association rules algorithm for data analysis, mining Chinese medicine treatment of breast cancer after common syndromes and the corresponding medication rules. A total of 472 cases of clinical real medical record data were included. Data analysis showed that there were 42 TCM syndromes after breast cancer surgery, of which the highest frequency was liver depression and spleen deficiency, qi deficiency and blood stasis, qi stagnation and blood stasis, qi and blood deficiency, qi and yin deficiency, phlegm and blood stasis. A total of 416 kinds of traditional Chinese medicine were involved. High-frequency drugs included angelica sinensis, coix seed, bupleurum, ginger magnolia bark, keel, oyster, astragalus, platycodon grandiflorum, antler frost, vinegar tortoise shell, poria cocos, lily, Jianqu, Ophiopogon japonicus (Maidong), Shancigu, etc. A total of 18 pairs of commonly used drug combinations were excavated, such as Fushen-Gancao-Chaihu-Angelica, Huangqi-Baishao-Jianghoupu, Chaihu-Huanhua-Maidong-Lily, Baizhu-Huangqi-Maidong, Fuling-Baishao, etc. The clinical syndrome type of traditional Chinese medicine after breast cancer surgery is mainly liver depression and spleen deficiency syndrome. The clinical treatment is mainly soothing liver and relieving depression, and harmonizing liver and spleen. Analyze the syndrome type and the corresponding drug compatibility law, and provide decision support for the clinical dialectical prescription of traditional Chinese medicine after breast cancer surgery.

Cognitive impairment experienced by Chinese breast cancer survivors

To identify cognitive function in Chinese breast cancer survivors. Research questions were: is cognitive function was associated with breast cancer and/or chemotherapy treatment and/or psychological functioning:? and did women with breast cancer experience more cognitive and psychological issues than age-matched women without cancer? Breast cancer survivors with chemotherapy (n = 106, mean age = 50.2 ± 9.5), breast cancer survivors without chemotherapy (n = 100, mean age = 50.5 ± 10.0) and matched healthy controls (n = 96, mean age = 47.9 ± 9.1) completed a battery of cognitive and psychosocial functioning. Demographic characteristics were also collected. The Perceived Cognitive Impairment score for cancer groups was significantly higher than for the healthy group (p = 0.04), but not between the cancer groups. Processing speed was significantly slower in the cancer groups than in the healthy group (both p < 0.001), but not between the cancer groups. Age, living status and education were significantly associated with the FACT-Cog (all p < 0.05). The correlations between the FACT-Cog score and BSI score were strong (r = 0.60 p < 0.01), and between the HADS anxiety and depression scales were strong (r = 0.53 and 0.50, p < 0.01) but correlations were weaker between performance based cognitive tests and measures of psychological functioning. Breast cancer groups indicated more cognitive impairment and reduced psychological functioning compared to the healthy group. However, there was no differences between the breast cancer groups. Chinese breast cancer survivors experienced excess cognitive impairment not associated with usual ageing. Assessment and intervention to address cognitive impairment should be made available to breast cancer survivors.

Exploring the geospatial epidemiology of breast cancer in Iran: identifying significant risk factors and spatial patterns for evidence-based prevention strategies

BACKGROUND

Breast Cancer (BC) is a formidable global health challenge, and Iran is no exception, with BC accounting for a significant proportion of women's malignancies. To gain deeper insights into the epidemiological characteristics of BC in Iran, this study employs advanced geospatial techniques and feature selection methods to identify significant risk factors and spatial patterns associated with BC incidence.

METHODS

Using rigorous statistical methods, geospatial data from Iran, including cancer-related, sociodemographic, healthcare infrastructure, environmental, and air quality data at the provincial level, were meticulously analyzed. Age-standardized incidence rates (ASR) are calculated, and different regression models are used to identify significant variables associated with BC incidence. Spatial analysis techniques, including global and local Moran's index, geographically weighted regression, and Emerging hotspot analysis, were utilized to examine geospatial patterns, identify clustering and hotspots, and assess spatiotemporal distribution of BC incidence.

RESULTS

The findings reveal that BC predominantly affects women (98.03%), with higher incidence rates among those aged 50 to 79. Isfahan (ASR = 26.1) and Yazd (ASR = 25.7) exhibit the highest rates. Significant predictors of BC incidence, such as marriage, tertiary education attainment rate, physician-to-population ratio, and PM2.5 air pollution, are identified through regression models.

CONCLUSION

The study's results provide valuable information for the development of evidence-based prevention strategies to reduce the burden of BC in Iran. The findings underscore the importance of early detection, health education campaigns, and targeted interventions in high-risk clusters and adjacent regions. The geospatial insights generated by this study have implications for policy-makers, researchers, and public health practitioners, facilitating the formulation of effective BC prevention strategies tailored to the unique epidemiological patterns in Iran.

Couples' skills training intervention in young breast cancer patients with fear of cancer recurrence: A randomized controlled trial

PURPOSE

This study adapted the Chinese version of the Couple Skills Training intervention program to couples of young breast cancer patients in China and investigated its effects on fear of cancer recurrence (FCR), cancer-related communication, and level of hope among the couples.

METHODS

Ninety young breast cancer patients and their spouses were recruited and randomly assigned to the intervention group (45 couples) and the control group (45 couples). Couples in the intervention group received skills training and were assessed at baseline, post-intervention, and 3 months post-intervention to measure outcomes. Differences in scores between the two groups were analyzed using two-sample t-tests and generalized estimating equations (GEE) controlling for demographic and health-related variables.

RESULTS

Couples' skills training intervention effectively reduced FCR and improved cancer-related communication in young breast cancer patients compared to the control group (both p < 0.001). Spouses' expectations significantly increased (p < 0.001). At 3 months post-intervention, couples in the intervention group showed significant improvements in FCR, cancer-related communication, and hope (all p < 0.001).

CONCLUSION

Couples' skills training interventions are beneficial for helping young breast cancer patients cope with FCR. Couples-based interventions play a crucial role in addressing FCR in these patients and their spouses. Future research should consider larger samples and longer follow-up periods to enhance intervention effectiveness.

CLINICAL TRIAL CENTER REGISTRATION NUMBER

This study has also been registered with the Chinese Clinical Trial Registry (No: ChiCTR2200063327).

Pimavanserin tartrate induces apoptosis and cytoprotective autophagy and synergizes with chemotherapy on triple negative breast cancer

Triple negative breast cancer (TNBC) poses a significant clinical challenge due to its lack of targeted therapy options and the frequent development of chemotherapy resistance. Metastasis remains a primary cause of mortality in late-stage TNBC patients, underscoring the urgent need for alternative treatments. Repurposing existing drugs offers a promising strategy for the discovery of novel therapies. In this study, we investigated the potential of pimavanserin tartrate (PVT) as a treatment for TNBC. While previous studies have highlighted PVT's anticancer effects in various cancer types, its activity in TNBC remains unclear. Our investigation aimed to elucidate the anticancer effects and underlying mechanisms of PVT in TNBC. We evaluated the impact of PVT and combination treatments involving PVT on TNBC cell viability, apoptosis, autophagy, and associated signaling pathways. Our findings revealed that PVT may induce mitochondria-dependent intrinsic apoptosis and caused cytoprotective autophagy via the PI3K/Akt/mTOR pathway in TNBC cells in vitro. Notably, our study demonstrated strong synergistic anti-TNBC effects when combining PVT with doxorubicin. We also found PVT showed some efficacies to inhibit TNBC tumor growth in vivo. These results provided valuable insights into the potential of PVT as an anti-TNBC therapeutic and a possible option for enhancing the sensitivity of TNBC cells to conventional chemotherapy drugs. Further studies are needed to determine the activity and mechanism of PVT in inhibiting TNBC.

Long-term trend of future Cancer onset: A model-based prediction of Cancer incidence and onset age by region and gender

OBJECTIVES

This study provided estimates of cancer incidence rate and onset age by Socio-demographic Index (SDI) regions and gender from 2020 to 2040, aiming to clarify the long-term patterns of future cancer onset.

METHOD

Based on the incidence data from the Global Burden of Diseases (GBD) 2019 study, we constructed the Bayesian age-period-cohort model to calculate the age-standardized incidence rates (ASIR) of cancers from 2020 to 2040. Using the average annual percentage change (AAPC) to quantify the trends of ASIR and the onset age. In addition, the incidences in 2019 were fixed to distinguish the age onset changes caused by demographic and incidence from 2020 to 2040.

RESULTS

Globally, two-thirds of cancers have escalating trends of incidence rate, and the proportion of cancer weighted average onset age above 60 years old will grow from 62% to 76% between 2020 and 2040. In five SDI regions, the proportion of weighted average onset age above 60 years old will rise above 10% in the next 20 years and increase sequentially with the rise of the SDI level. Preclude sex-specific cancers, the onset age is younger in men than in women in 2040. Rule out the influence of changing demographics, half of cancer's morbidity has a youth-oriented tendency globally, which is concentrated in hormone-related and digestive tract cancer.

CONCLUSION

From 2020 to 2040, the incidence and onset age changes demonstrate marked geographic and gender variations in the cancer spectrum. Cancer incidence and onset age are predicted to continuously increase worldwide in the future.

A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer

PURPOSE

Breast cancer (BRCA) is a prevalent tumor worldwide. The association between the coiled-coil domain-containing (CCDC) protein family and different tumors has been established. However, the prognostic significance of this protein family in breast cancer remains uncertain.

METHODS

Gene expression and clinical data were obtained from the TCGA, METABRIC, and GEO databases. Prognosis genes were identified using univariate Cox and LASSO Cox regression, leading to the establishment of a prognostic signature. Subsequently, the risk model was conducted based on survival and clinical feature analyses, and a nomogram for prognosis prediction was developed. Furthermore, analyses of biological function, immune characteristics, and drug sensitivity were performed. Finally, single-cell sequencing data were utilized to uncover the expression patterns of genes in the risk model.

RESULTS

Five genes were identified and utilized for risk modeling. The model demonstrated excellent prognostic value as indicated by ROC and Kaplan-Meier analysis. The high-risk group exhibited shorter survival time and higher likelihood of recurrence. Functional annotation indicated a correlation between the risk score and immune pathways. Conversely, the low-risk group displayed a greater enrichment in immune pathways and exhibited more active immune microenvironment characteristics. Additionally, drug sensitivity analysis using both public and our sequencing data revealed that the risk model possessed a broad range of predictive values.

CONCLUSIONS

We have developed a gene signature and have verified that patients with low-risk are more likely to have better prognosis and respond positively to therapy. This finding offers a valuable point of reference for BRCA individualized treatment.

Expression and significance of effector proteins NLRP3 and gasdermin D N-terminal protein in the pyrolysis pathway in breast cancer

OBJECTIVES

To detect the expression and significance of GSDMD-N (gasdermin D N-terminal) in breast cancer, along with pyroptosis effector protein NLRP3 (nucleotide-binding oligomerization domain-like receptor protein 3), and determine their relationship with the clinicopathological characteristics of breast cancer.

METHODS

From January 2014 to December 2014, NLRP3 and GSDMD-N expression in 90 breast carcinoma organism samples and 30 paracancer tissues in the Department of Pathology. The First Affiliated Hospital of Bengbu Medical College was assessed using immunohistochemistry. The method of Kaplan-Meier was employed for the sake of comparing the survival between NLRP3 and GSDMD-N protein low and high expression groups. Among the breast cancerous organisms, the relationship between the expression of NLRP3 and GSDMD-N, corresponding adjacent tissues, and various clinicopathological features was analyzed using the χ2 and Spearman rank correlation tests.

RESULTS

In the 90 breast cancer tissue samples, the pyrolysis pathway effector proteins GSDMD-N and NLRP3 were actively associated; and, expression intensities of NLRP3 and GSDMD-N were shown to be correlated with breast cancer. In addition, the clinicopathological features of patients were shown to be correlated with breast cancer. Notably, the higher the expressions of NLRP3 and GSDMD-N, the lower the risk of death of patients with breast cancer and the better the prognosis.

CONCLUSION

The expression of the pyrolysis effector proteins NLRP3 and GSDMD-N in breast cancer tissues may take the lead in tumor prognosis in patients with breast cancer.

FN1 mediated activation of aspartate metabolism promotes the progression of triple-negative and luminal a breast cancer

BACKGROUND

Breast cancer (BC) is regarded as one of the most common cancers diagnosed among the female population and has an extremely high mortality rate. It is known that Fibronectin 1 (FN1) drives the occurrence and development of a variety of cancers through metabolic reprogramming. Aspartic acid is considered to be an important substrate for nucleotide synthesis. However, the regulatory mechanism between FN1 and aspartate metabolism is currently unclear.

METHODS

We used RNA sequencing (RNA seq) and liquid chromatography-mass spectrometry to analyze the tumor tissues and paracancerous tissues of patients. MCF7 and MDA-MB-231 cells were used to explore the effects of FN1-regulated aspartic acid metabolism on cell survival, invasion, migration and tumor growth. We used PCR, Western blot, immunocytochemistry and immunofluorescence techniques to study it.

RESULTS

We found that FN1 was highly expressed in tumor tissues, especially in Lumina A and TNBC subtypes, and was associated with poor prognosis. In vivo and in vitro experiments showed that silencing FN1 inhibits the activation of the YAP1/Hippo pathway by enhancing YAP1 phosphorylation, down-regulates SLC1A3-mediated aspartate uptake and utilization by tumor cells, inhibits BC cell proliferation, invasion and migration, and promotes apoptosis. In addition, inhibition of FN1 combined with the YAP1 inhibitor or SLC1A3 inhibitor can effectively inhibit tumor growth, of which inhibition of FN1 combined with the YAP1 inhibitor is more effective.

CONCLUSION

Targeting the "FN1/YAP1/SLC1A3/Aspartate metabolism" regulatory axis provides a new target for BC diagnosis and treatment. This study also revealed that intratumoral metabolic heterogeneity plays an important role in the progression of different subtypes of breast cancer.

Novel Dual-Mode NIR-II/MRI Nanoprobe Targeting PD-L1 Accurately Evaluates the Efficacy of Immunotherapy for Triple-Negative Breast Cancer

Background

Durable responses to immune-checkpoint blocking therapy (ICT) targeting programmed cell death protein-1/ligand-1 (PD-1/PD-L1) have improved outcomes for patients with triple negative breast cancer (TNBC). Unfortunately, only 19-23% of patients benefit from ICT. Hence, non-invasive strategies evaluating responses to therapy and selecting patients who will benefit from ICT are critical issues for TNBC immunotherapy.

Methods

We developed a novel nanoparticle-Atezolizumab (NPs-Ate) consisting of indocyanine green (ICG), gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA), human serum albumin (HSA), and Atezolizumab. The efficiency of Gd-DTPA linking was verified using mass spectrometry, and the size of NPs-Ate was characterized using Nano-flow cytometry. The synthesized NPs-Ate were evaluated for fluorescence stability, penetration depth, and target specificity. TNBC cell lines and tumor-bearing mice models were used to identify the feasibility of this dual-modal second near-infrared/magnetic resonance imaging (NIR-II/MRI) system. Additionally, ICT combination with chemotherapy or radiotherapy in TNBC tumor-bearing mice models were used to assess dynamic changes of PD-L1 and predicted therapeutic responses with NPs-Ate.

Results

Atezolizumab, a monoclonal antibody, was successfully labeled with ICG and Gd-DTPA to generate NPs-Ate. This demonstrated strong fluorescence signals in our NIR-II imaging system, and relaxivity (γ1) of 9.77 mM-1 s-1. In tumor-bearing mice, the NIR-II imaging signal background ratio (SBR) reached its peak of 11.51 at 36 hours, while the MRI imaging SBR reached its highest as 1.95 after 12 hours of tracer injection. NPs-Ate specifically targets cells and tumors expressing PD-L1, enabling monitoring of PD-L1 status during immunotherapy. Combining therapies led to inhibited tumor growth, prolonged survival, and increased PD-L1 expression, effectively monitored using the non-invasive NPs-Ate imaging system.

Conclusion

The NIR-II/MRI NPs-Ate effectively reflected PD-L1 status during immunotherapy. Real-time and non-invasive immunotherapy and response/prognosis monitoring under NIR-II/MRI imaging guidance in TNBC is a promising and innovative technology with potential for extensive clinical applications in the future.

An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images

Breast and thyroid cancers are the two most common cancers among women worldwide. The early clinical diagnosis of breast and thyroid cancers often utilizes ultrasonography. Most of the ultrasound images of breast and thyroid cancer lack specificity, which reduces the accuracy of ultrasound clinical diagnosis. This study attempts to develop an effective convolutional neural network (E-CNN) for the classification of benign and malignant breast and thyroid tumors from ultrasound images. The 2-Dimension (2D) ultrasound images of 1052 breast tumors were collected, and 8245 2D tumor images were obtained from 76 thyroid cases. We performed tenfold cross-validation on breast and thyroid data, with a mean classification accuracy of 0.932 and 0.902, respectively. In addition, the proposed E-CNN was applied to classify and evaluate 9297 mixed images (breast and thyroid images). The mean classification accuracy was 0.875, and the mean area under the curve (AUC) was 0.955. Based on data in the same modality, we transferred the breast model to classify typical tumor images of 76 patients. The finetuning model achieved a mean classification accuracy of 0.945, and a mean AUC of 0.958. Meanwhile, the transfer thyroid model realized a mean classification accuracy of 0.932, and a mean AUC of 0.959, on 1052 breast tumor images. The experimental results demonstrate the ability of the E-CNN to learn the features and classify breast and thyroid tumors. Besides, it is promising to classify benign and malignant tumors from ultrasound images with the transfer model under the same modality.

Design, synthesis, graph theoretical analysis and molecular modelling studies of novel substituted quinoline analogues as promising anti-breast cancer agents

The most promising class of heterocyclic compounds in medicinal chemistry are those with the quinolin-2-one nucleus. It is a versatile heterocyclic molecule that has been put together with numerous pharmaceutical substances and is crucial in the creation of anticancer medications. In this view, the present research work deals with design, synthesis, and characterization of various analogous of quinolin-2-one nucleus and evaluation of their anticancer activity against MCF-7 cells (adenoma breast cancer cell line). Fourteen new compounds have been synthesised using suitable synthetic route and are characterized by FTIR, 1H NMR, 13C NMR and Mass spectral data. Molecular docking studies of the title compounds were carried out using PyRx 0.8 tool in AutoDock Vina program. All the synthesised compounds were exhibited well conserved hydrogen bonding with one or more amino acid residues in the active pocket of EGFR tyrosine kinase (PDB ID: 1m17). The docking score of the derivatives ranged from - 6.7 to - 9.5 kcal mol-1, standard drug Imatinib with - 9.6 kcal mol-1 and standard active ligand 4-anilinoquinazoline with - 7.7 kcal mol-1. The designed compound IV-A1 showed least binding energy (- 9.5 kcal mol-1) against EGFR tyrosine kinase receptor. Further, top scored compound, IV-A1 found to be most significant against MCF-7 cells with IC50 value of 0.0870 µM mL-1, TGI of 0.0958 µM mL-1, GI50 of 0.00499 µM mL-1, LC50 of 1.670 µM mL-1.