Breast cancer in China

The efficacy and safety of Xihuang Pill/capsule in adjuvant treatment of breast cancer: A systematic review and meta-analysis of 26 randomized controlled trials

ETHNOPHARMACOLOGICAL RELEVANCE

Xihuang Pill is a traditional Chinese medicine prescription for the treatment of breast cancer. There are many randomized controlled trials (RCTs) of Xihuang Pill in the treatment of breast cancer that have been published. Hence, a comprehensive systematic review and meta-analysis is needed.

AIM

To evaluate the safety of Xihuang pill/capsule and its effect on the improvement of tumor progression, quality of life, immunity and prognosis in adjuvant treatment of breast cancer.

METHODS

Chinese and English databases such as Sinomed, PubMed, Embase were searched to collect the RCTs of Xihuang pill/capsule in adjuvant treatment of breast cancer. Then the researchers extracted data from the RCTs that met the inclusion criteria, and used Cochrane standard risk bias to assess the quality of the data, and used Rev Man 5.3 statistical software for statistical analysis.

RESULTS

A total of 26 RCTs with 2272 participants were included. The primary outcomes showed that Xihuang pill combined with chemotherapy and with endocrine therapy may suppress of tumor progression {Chemotherapy: risk ratio (RR) = 0.59, 95%Confidence interval (CI) [0.48,0.73], P < 0.00001; Endocrine therapy: RR = 0.56, 95%CI [0.33,0.96], P = 0.04}. Xihuang pill combined with chemotherapy, with endocrine therapy and with radiotherapy may improve the quality of life (chemotherapy: RR = 1.73, 95%CI[1.11, 2.70], P = 0.02; Endocrine therapy: RR = 1.18, 95%CI [1.01,1.38], P = 0.03; radiotherapy:RR = 1.51, 95%CI [1.01,2.27], P = 0.05). Xihuang pill combined with TCM + chemotherapy may decrease the inefficiency rate for clinical symptom improvement (RR = 0.50, 95%CI [0.28, 0.88], P = 0.02). Xihuang pill combined with chemotherapy may increase the Karnofsky Performance Scale (KPS) {Weighted Mean Difference (WMD) = 15.40, 95%CI [8.18, 22.62], P < 0.0001}. For adverse events, Xihuang pill combined with chemotherapy may alleviate adverse digestive events and leukopenia; Xihuang pill combined with endocrine therapy will not increase adverse events; Xihuang pill combined with non-antitumor therapy may reduce the incidence of leukopenia and red blood cell or hemoglobin reduction.

CONCLUSION

The addition of Xihuang pill/capsule to breast cancer in conventional anti-tumor therapy may inhibit tumor progression, improve patient quality of life, reduce toxic reactions, regulate immunity, and reduce tumor markers. However, due to the overall low quality of RCTs, the research results need more high-quality RCTs to further test the conclusions.

Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case-control study in Chinese population

BACKGROUND

Perfluoroalkyl substances (PFASs) are a large family of synthetic chemicals, some of which are mammary toxicants and endocrine disruptors. Recent studies have implicated exposure to PFASs as a risk factor for breast cancer in Europe and America. Little is known about the role of PFASs with respect to breast cancer in the Chinese population.

METHODS

Participants who were initially diagnosed with breast cancer at Tianjin Medical University Cancer Institute and Hospital between 2012 and 2016 were recruited as cases. The controls were randomly selected from the participants with available blood samples in the Chinese National Breast Cancer Screening Program (CNBCSP) cohort. Ultimately, we enrolled 373 breast cancer patients and 657 controls. Plasma PFASs were measured by an ultra-performance liquid chromatography (UPLC) system coupled to a 5500 Q-Trap triple quadrupole mass spectrometer. A logistic regression model with least absolute shrinkage and selection operator (LASSO) regularization was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the relationships between PFASs and breast cancer. The three most predictive variables in the LASSO model were selected from 17 PFASs, which was based on the optimal penalty coefficient (λ = 0.0218) identified with the minimum criterion. Additionally, Bayesian kernel machine regression (BKMR) and quantile g-computation models were applied to evaluate the associations between separate and mixed exposure to PFASs and breast cancer.

RESULTS

Perfluorooctanesulfonic acid (PFOS) exhibited the highest concentration in both the cases and controls. Perfluorooctanoic acid (PFOA) and perfluoro-n-decanoic acid (PFDA) were positively associated with breast cancer, and perfluoro-n-tridecanoic acid (PFTrDA) was negatively associated with breast cancer according to both the continuous-PFASs and the quartile-PFASs logistic regression models. Of note, PFOA was associated with the occurrence of estrogen receptor (ER)-, progesterone receptor (PR)-, and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (OR_ER+  = 1.47, 95% CI: 1.19, 1.80; OR_PR+  = 1.36, 95% CI: 1.09, 1.69; OR_HER2 = 1.62, 95% CI: 1.19, 2.21).

CONCLUSIONS

Overall, we observed that PFASs were associated with breast cancer in Chinese women. Prospective cohort studies and mechanistic experiments are warranted to elucidate whether these associations are causal.

To Study the Effect of Individualized Nursing Model Based on MDT Concept on Limb Function Recovery and Quality of Life in Patients with Breast Cancer

Objective

To study the value of the individualized nursing model based on the concept of multidisciplinary team (MDT) on recovery of limb function and quality of life in patients with breast cancer.

Methods

A total of 110 breast cancer patients admitted to our hospital from January 2021 to December 2021 were selected as the research objects. The 110 breast cancer patients were divided into the research group (n = 55) and the control group (n = 55) according to the random number table method. The control group received routine care. The research group implemented individualized nursing based on the MDT concept on the basis of routine nursing. The disabilities of the arm, shoulder, and hand (DASH) scores before nursing and 1 month after nursing were studied in the two groups, Hamilton anxiety scale (HAMA) score, Hamilton depression scale (HAMD) score, and Functional Assessment of Cancer Therapy-B (FACT-B) score.

Results

After 1 month of nursing, the DASH score of the research group was lower than that of the control group, and the difference was statistically significant (P < 0.05), and after 1 month of nursing, the HAMA score of the research group was lower than that of the control group (P < 0.05). After 1 month of nursing, the HAMD scale score of the research group was lower than that of the control group, and the difference was statistically significant (P < 0.05). After 1 month of nursing, the FACT-B score of the research group was higher than that of the control group, and the difference was statistically significant (P < 0.05).

Conclusion

The individualized nursing model based on the MDT concept has high application value for breast cancer patients. This nursing model can improve the function of limb movement, relieve the patient's anxiety and depression, and improve the patient's quality of life. This nursing model is worthy of clinical promotion.

Unbalanced Treatment Costs of Breast Cancer in China: Implications From the Direct Costs of Inpatient and Outpatient Care in Liaoning Province

BACKGROUND

The increasing incidence of breast cancer and its financial burden highlights the need for controlling treatment costs. This study aimed to assess the direct costs of inpatient and outpatient care for breast cancer patients in Liaoning Province to provide a policy reference for cost containment.

METHODS

Based on the System of Health Accounts 2011 (SHA 2011), systematic data collection was conducted via multistage stratified cluster random sampling. A total of 1160 health institutions, including 83 hospitals, 16 public health institutions, 120 primary health institutions, and 941 outpatient institutions were enrolled in 2017. A database was established containing 20 035 patient-level medical records from the information system of these institutions. Curative care expenditure (CCE)was calculated, and generalized linear modeling was performed to determine cost-related factors.

RESULTS

In 2017, the CCE for breast cancer was approximately CNY 830.19 million (US$122.96 million) in Liaoning province (0.7% of the total health expenditure and 9.9% of cancer-related healthcare costs). Inpatient care costs were estimated to be CNY 617.27 million (US$91.42 million), accounting for 74.4% of the CCE for breast cancer, almost three times as large as outpatient costs (25.6%). The average inpatient and outpatient costs for breast cancer were estimated to be CNY 12 108 (US$1793) and CNY 829 (US$123) per visit. Medication cost was the main cost driver, which comprised 84.0% of the average outpatient cost and 37.2% of the mean inpatient cost.

CONCLUSION

Breast cancer imposes a large economic burden on patients and the social health insurance system. Results show an irrational cost pattern of inpatient and outpatient services, with patients relying excessively on inpatient services for treatment. Promoting outpatient care whenever relevant is conducive to cost containment and rational utilization of resources.

Assessment of the Benefits and Cost-Effectiveness of Population-Based Breast Cancer Screening in Urban China: A Model-Based Analysis

BACKGROUND

To decrease the burden of breast cancer (BC), the Chinese government recently introduced biennial mammography screening for women aged 45-70 years. In this study, we assess the effectiveness and cost-effectiveness of implementing this programme in urban China using a micro-simulation model.

METHODS

The 'Simulation Model on radiation Risk and breast cancer Screening' (SiMRiSc) was applied, with parameters updated based on available data for the Chinese population. The base scenario was biennial mammography screening for women aged 45-70 years, and this was compared to a reference population with no screening. Seven alternative scenarios were then simulated by varying the screening intervals and participant ages. This analysis was conducted from a societal perspective. The discounted incremental cost-effectiveness ratio (ICER) was compared to a threshold of triple the gross domestic product (GDP) per life years gained (LYG), which was 30 785 USD/LYG. Univariate sensitivity analyses were conducted to evaluate model robustness. In addition, a budget impact analysis was performed by comparing biennial screening with no screening at a time horizon of 10 years.

RESULTS

Compared with no screening, the base scenario was cost-effective in urban China, giving a discounted average cost-effectiveness ratio (ACER) of 17 309 USD/LYG. The model was most sensitive to the cost of mammography per screen, followed by mean size of self-detected tumours, mammographic breast density and the cumulative lifetime risk of BC. The efficient frontier showed that at a threshold of 30 785 USD/LYG, the base scenario was the optimal scenario with a discounted ICER of 25 261 USD/LYG. Over 10 years, screening would incur a net cost of almost 38.1 million USD for a city with 1 million citizens.

CONCLUSION

Compared to no screening, biennial mammography screening for women aged from 45-70 is cost-effective in urban China.

Prevalence and Factors Associated with BRCA1/2 Gene Mutation in Chinese Populations with Breast Cancer

Objective

We aimed to evaluate the prevalence of BRCA1 and BRCA2 mutations in Chinese populations with breast cancer. Factors associated with BRCA1 and BRCA2 mutations are also evaluated.

Methods

This was a cross-sectional study, and patients with breast cancer were included. Data on clinical characteristics, information of breast cancer, and BRCA1 and BRCA2 mutations were extracted. Patients were divided into the carrier and noncarrier groups.

Results

A total of 368 patients were included. Compared to the noncarrier group (n = 240), patients in the carrier group (n = 128) were younger and more likely to have breast cancer at age <40 years. Of the overall 128 patients in the carrier groups, 58 had BRCA1 mutation and 70 had BRCA2 mutation. Among patients with early onset breast cancer, there was no difference in the prevalence of BRCA1 and BRCA2 (20.7% vs 17.1%, P = 0.35). While among patients with a family history of breast/ovarian cancer, BRCA2 mutation was more prevalent than BRCA1 mutation (54.3% vs 44.8%, P = 0.01); and among patients with triple-negative breast cancer, BRCA1 mutation was more prevalent than BRCA2 mutation (34.5% vs 28.6%, P = 0.04). After adjusting for covariates, factors associated with BRCA1 mutation included breast cancer diagnosed <40 years, tumor size >2 cm, and lymph node metastasis; and after adjusting for covariates, factors associated with BRCA2 mutation included age, tumor size >2 cm, and triple-negative breast cancer.

Conclusion

The prevalence of BRCA1 and BRCA2 mutations varied according to three specific subgroups. Factors associated with BRCA1 and BRCA2 mutations were differential.

SQSTM1/p62 regulate breast cancer progression and metastasis by inducing cell cycle arrest and regulating immune cell infiltration

The autophagy adaptor protein SQSTM1/p62 is overexpressed in breast cancer and has been identified as a metastasis-related protein. However, the mechanism by which SQSTM1/p62 contributes to breast cancer progression and tumor microenvironment remains unclear. This study revealed that silencing SQSTM1/p62 expression suppressed breast cancer progression via regulating cell proliferation and reshaping the tumor microenvironment (TME). Here, we found that SQSTM1/p62 was overexpressed in multiple human cancer tissue types and that was correlated with poor patient overall survival (OS) and disease-free survival (DFS). Moreover, we found that short-hairpin RNA (shRNA)-mediated knockdown of p62 expression significantly inhibited cell proliferation, migration, and invasion, and promoted cell death in vitro, as well as suppressed breast cancer growth and lung metastasis in vivo. In addition, flow cytometry analysis of splenocytes and tumor infiltrating lymphocytes (TILs) indicated that the numbers of CD8α⁺ interferon (IFN)-γ⁺ cells (CTLs) and CD4⁺IFN-γ⁺ (Th1) cells were increased while those of CD4⁺IL-4⁺ (Th2) cells, tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs) were decreased. RT-PCR analyses showed that the gene expression of Th1/Th2 cytokines changed in the tumor microenvironment. Silencing SQSTM1/p62 suppressed tumor cell lung metastasis. Together, our results provide strong evidence that silencing tumor cell SQSTM1/p62 inhibited tumor growth and metastasis through cell cycle arrest and TME regulation. This finding provides a novel molecular therapeutic strategy for breast cancer progression and metastasis treatment.

The impact of Angiopoietin-2 genetic polymorphisms on susceptibility for malignant breast neoplasms

Breast cancer causes morbidity and mortality among women worldwide, despite much research illuminating the genetic basis of this disease. Anti-angiogenesis therapies have been widely studied, although the association between angiopoietin-2 (ANGPT2) single nucleotide polymorphisms (SNPs) and breast cancer subtypes remains unclear. This case-control study included 464 patients with malignant breast neoplasms and 539 cancer-free females. We explored the effects of ANGPT2 SNPs on the susceptibility for a malignant breast neoplasm in a Chinese Han population. Five ANGPT2 SNPs (rs2442598, rs734701, rs1823375, 11,137,037, and rs12674822) were analyzed using TaqMan SNP genotyping. Carriers of the variant GG allele of rs1823375 were less likely than wild-type carriers to be diagnosed with clinically staged breast cancer, while females with human epidermal growth factor receptor 2 (HER2)-enriched disease carrying the CG or the CG+GG genotype at rs1823375 were significantly less likely than CC genotype carriers to be of lymph node status N1-N3. We also found that the T-T-C-A-T ANGPT2 haplotype significantly increased the risk for developing a malignant breast neoplasm by 1.385-fold (95% CI: 1.025-1.871; p < 0.05). Our study is the first to document a correlation between ANGPT2 polymorphisms and the development and progression of a malignant breast neoplasm in females of Chinese Han ethnicity.

A Real-World Multicentre Retrospective Study of Low-Dose Apatinib for Human Epidermal Growth Factor Receptor 2-Negative Metastatic Breast Cancer

Treatment options for human epidermal growth factor receptor (HER2)-negative breast cancer patients are limited in comparison to the HER2-positive patients, particularly for metastatic breast cancer patients. Apatinib is a small-molecule tyrosine kinase inhibitor that targets the vascular endothelial growth factor receptor 2 (VEGFR-2). Here, we reported the apatinib-based therapy data in HER2-negative metastatic breast cancer. Apatinib was taken at a dose of 250 mg orally once per day and combined with standard chemotherapy regimens. The PFS and OS of 128 patients were 4.7 months and 15.3 months, respectively. The objective response rate (ORR) and the disease control rate (DCR) were 22.7% and 80.5%, respectively. Patients with breast cancer susceptibility gene (BRCA) mutations were found to have a longer PFS and OS. Moreover, combination immunotherapy or paclitaxel-platinum regimens shared an improved response to other regimens. Most of the adverse effects (hypertension, anaemia, and hand-foot syndrome) were grade 1 to 2. Metastatic breast cancer patients could benefit from apatinib therapy at a low dosage, and the adverse effects are mild in real-world clinical practice. Furthermore, BRCA may be a putative biomarker for apatinib in HER2-negative breast cancer. Immunotherapy or paclitaxel-platinum regimens may be recommended to combine with apatinib therapy.

Construction of a breast cancer prognosis model based on alternative splicing and immune infiltration

BACKGROUND

Breast cancer (BC) is the most common malignancy among women in the world. Alternative splicing (AS) is an important mechanism for regulating gene expression and producing proteome diversity, which is closely related to tumorigenesis. Understanding the role of AS in BC may be helpful to reveal new therapeutic targets for clinical interventions.

METHODS

RNA-seq, clinical and AS data of TCGA-BRCA were downloaded from TCGA and TCGA SpliceSeq databases. AS events associated with prognosis were filtered by univariate Cox regression. The AS risk model of BC was built by Lasso regression, random forest and multivariate Cox regression. The accuracy of the AS risk model and clinicopathological factors were evaluated by time-dependent receiver operating characteristic (ROC) curves. The significant factors were used to construct the nomogram model. Tumor microenvironment analysis, immune infiltration and immune checkpoint analysis were performed to show the differences between the high and low AS risk groups. The expression differences of genes of AS events constituting the risk model in tumor tissues and normal tissues were analyzed, the genes with significant differences were screened, and their relationship with prognosis, tumor microenvironment, immune infiltration and immune checkpoint were analyzed. Finally, Pearson correlation analysis was used to calculate the correlation coefficient between splicing factors (SF) and prognostic AS events in TCGA-BRCA. The results were imported into Cytoscape, and the associated network was constructed.

RESULTS

A total of 21,232 genes had 45,421 AS events occurring in TCGA-BRCA, while 1604 AS events were found to be significantly correlated with survival. The BRCA risk model consisted of 5 AS events, (TTC39C|44853|AT*- 2.67) + (HSPBP1|52052|AP*- 4.28) + (MAZ|35942|ES*2.34) + (ANK3|11845|AP*1.18) + (ZC3HAV1|81940|AT*1.59), which were confirmed to be valuable for predicting BRCA prognosis to a certain degree, including ROC curve, survival analysis, tumor microenvironment analysis, immune infiltration and immune checkpoint analysis. Based on this, we constructed a nomogram prediction model composed of clinicopathological features and the AS risk signature. Furthermore, we found that MAZ was a core gene indicating the connection of tumor prognosis and AS events. Ultimately, a network of SF-AS regulation was established to reveal the relationship between them.

CONCLUSIONS

We constructed a nomogram model combined with clinicopathological features and AS risk score to predict the prognosis of BC. The detailed analysis of tumor microenvironment and immune infiltration in the AS risk model may further reveal the potential mechanisms of BC recurrence and development.

Prevalence of BRCA1 and BRCA2 pathogenic variants in 8627 unselected patients with breast cancer: stratification of age at diagnosis, family history and molecular subtype

PURPOSE

Comprehensively analyzing the prevalence of BRCA1/2 germline pathogenic variants (PVs) in a large cohort of unselected Chinese patients with breast cancer has great clinical importance.

METHODS

Germline pathogenic variants in full-length BRCA1/2 genes were determined through next-generation sequencing and/or Sanger sequencing assays in 8627 unselected Chinese patients with breast cancer who were treated at the Breast Center of Peking University Cancer Hospital. The prevalence of BRCA1/2 PVs was further stratified by age at diagnosis, family history of cancer and molecular subtype.

RESULTS

We found that the overall prevalence of BRCA1/2 PVs was 6.0% in the entire cohort, 2.4% in BRCA1 and 3.7% in BRCA2. The prevalence of BRCA1/2 PVs in patients with early-onset breast cancer (age at diagnosis ≤ 40 years) was significantly higher than that in patients over the age of 40 (9.7% vs. 5.1%). The prevalence rates of BRCA1/2 PVs in patients with a family history of breast, ovarian, pancreatic, and prostate cancer were 19.5%, 39.0%, 11.1%, and 12.8%, respectively. Moreover, the number of relatives affected by breast cancer was associated with a higher prevalence of BRCA1/2 PVs. Molecular subtypes were associated with the prevalence of BRCA1/2 PVs. Patients with the triple-negative phenotype had the highest prevalence of BRCA1/2 PVs (13.3%) among the three molecular groups, followed by the HR + and HER2- group (5.9%), and the lowest was in the HER2 + group (2.5%).

CONCLUSION

Our study provides the most comprehensive information to date on the prevalence of BRCA1/2 PVs in unselected Chinese patients with breast cancer.

Exosomes: Small Vesicles with Important Roles in the Development, Metastasis and Treatment of Breast Cancer

Breast cancer (BC) has now overtaken lung cancer as the most common cancer, while no biopredictive marker isolated from biological fluids has yet emerged clinically. After traditional chemotherapy, with the huge side effects brought by drugs, patients also suffer from the double affliction of drugs to the body while fighting cancer, and they often quickly develop drug resistance after the drug, leading to a poor prognosis. And the treatment of some breast cancer subtypes, such as triple negative breast cancer (TNBC), is even more difficult. Exosomes (Exos), which are naturally occurring extracellular vesicles (EVs) with nanoscale acellular structures ranging in diameter from 40 to 160 nm, can be isolated from various biological fluids and have been widely studied because they are derived from the cell membrane, have extremely small diameter, and are widely involved in various biological activities of the body. It can be used directly or modified to make derivatives or to make some analogs for the treatment of breast cancer. This review will focus on the involvement of exosomes in breast cancer initiation, progression, invasion as well as metastasis and the therapeutic role of exosomes in breast cancer.

Breast and cervical cancer screening adherence in Jiangsu, China: An ecological perspective

Background

High screening coverage can effectively reduce the mortality in breast and cervical cancer. Further research on extending the coverage of breast and cervical cancer screening in China is required. This study explored factors influencing women's "two-cancer" screening service utilization using an ecological approach.

Methods

Data were obtained from the National Health Services Survey (NHSS) conducted in 2018 in Jiangsu, China. A total of 3,500 women aged 18-64 years were included in the analysis. Chi-squared test, hierarchical multiple logistic regression analysis, and binary logistic regression analysis were performed.

Results

In total, 44.1% of the women had been screened for breast cancer (BC) and 40.9% for cervical cancer (CC). Breast cancer screening (BCS) and cervical cancer screening (CCS) differed significantly in the following common categories: age, gestational experiences, chronic disease status, body mass index (BMI), exercise, health checkup, marital status, number of children, employment, education, family doctors, and health records. In the results of hierarchical multiple logistic regression analysis, the explanatory power of the final model was 37.5% and the area under the receiver operating characteristic curve was 0.812. The results showed that being in the age group of 35-64 years, having gestational experiences, having chronic diseases, exercising, having a health checkup, being married, having children, and being employed were statistically significant positive predictors of "two-cancer" screening adherence. The household size was a barrier. For BCS, obesity was also a negative factor, and a higher overall self-related health status was a positive factor. Being married and living in households of three or more families were not predictors. For CCS, having health records was also positively significant, while having chronic disease did not influence adherence.

Conclusion

The findings provide an ecological explanation for women's BCS and CCS service utilization. Both proximal and distal factors should be considered to achieve a high coverage rate.

The value of noncontrast MRI in evaluating breast imaging reporting and data system category 0 lesions on digital mammograms

Background

Benign and malignant diagnosis of nonpalpable breast imaging reporting and data system (BI-RADS) category 0 lesions on digital mammograms (DMs) is very important. We compared the diagnostic performance of non-contrast-enhanced magnetic resonance imaging (MRI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for them. We sought to evaluate BI-RADS category 0 lesions using 3 MRI sequences: short tau inversion recovery (STIR), STIR combined with high b value diffusion-weighted imaging (STIR-DWI), and DCE-MRI.

Methods

We retrospectively reviewed 114 breast DMs rated as nonpalpable BI-RADS category 0 lesions in 112 patients from January 2014 to June 2019. STIR, high b value DWI, and DCE-MRI were performed for all patients. Two breast radiologists read individual sequences (STIR, DWI, DCE-MRI) and pairs of sequences (STIR-DWI) to detect BI-RADS category 0 lesions in DMs. Receiver operating characteristic (ROC) curve analysis was used to assess diagnostic performance according to a best valuable comparator that combined MRI imaging, clinical, and pathological data.

Results

Among of 114 lesions (the median age of patients was 47 years; the median size of the lesion was 19 mm), 32 (48.5%) malignant lesions were missed by STIR, 9 (13.6%) malignant lesions were missed by STIR-DWI, and 3 (4.5%) malignant lesions were missed by DCE-MRI. The principal finding of our study was that STIR-DWI and DCE-MRI showed higher diagnostic accuracy than did STIR (P<0.01). STIR-DWI showed higher accuracy [area under the curve (AUC) =0.858; sensitivity =87.8%] for BI-RADS category 0 lesions in DMs than did STIR (AUC =0.754; sensitivity =51.5%), while the performance was comparable to that of DCE-MRI (AUC =0.884; sensitivity =95.5%).

Conclusions

Using pairs of sequences (STIR-DWI) is a non-contrast-enhanced MRI technique and had an equal diagnostic performance in distinguishing benign from malignant lesions among nonpalpable BI-RADS category 0 lesions to that of DCE-MRI. As a result, STIR-DWI as having the potential to improve the safety and efficacy in of breast cancer screening, especially in nonpalpable BI-RADS category 0 lesions at in DMs.

A comprehensive comparison of circulating tumor cells and breast imaging modalities as screening tools for breast cancer in Chinese women

Background

Circulating tumor cells (CTCs) have been recognized as a sensitive biomarker for breast cancer (BC). This study aimed to comprehensively compare CTC with imaging modalities, including ultrasonography, mammography, and contrast-enhanced magnetic resonance imaging (MRI) in screening for BC in Chinese women.

Methods

Three hundred forty-three participants were enrolled in this study, including 102 treatment-naive BC patients, 177 with breast benign diseases (BBD) and 64 healthy female patients. All participants underwent CTC testing and at least one of the following examinations, ultrasonography, mammography, and MRI at the Second Affiliated Hospital of Zhejiang University between December 2017 and November 2020. CTCs were quantitatively assessed using cell counting (CTC detection rate/counts) and categorically examined using a cutoff value (CTC classification). The diagnostic power of CTC tests and imaging modalities, including accuracy and capability to predict clinicopathological characteristics of BC, were evaluated and compared.

Results

CTC classification with a cutoff value of 2 showed a “good” diagnostic accuracy of 0.889 for early- to mid-stage BC comparable to breast imaging modalities using Breast Imaging-Reporting and Data System (BI-RADS). MRI demonstrated the highest sensitivity of 0.872 for BC, and CTC classification had the highest specificity of 0.938. A relatively low sensitivity was found for mammography in this cohort of patients. Successful detection of BC by CTC detection rate/counts, but not CTC classification, correlated with two important clinicopathological features, American Joint Committee on Cancer (AJCC) stage and tumor-node-metastasis (TNM) stage. The detection power of certain imaging modalities was also associated with AJCC stage (ultrasonography, p = 0.0438 and MRI, p = 0.0422) and lymph node metastasis (ultrasonography, 0.0157). There were clear correlations between CTC tests (counts or classification) and imaging BI-RADS scoring system in detecting positive BC cases (p < 0.05). Further correlation analysis suggested that CTC quantity, but not CTC classification, had the capability to predict clinicopathological traits of BC that were identified by ultrasonography.

Conclusions

CTC tests have a diagnostic potency comparable to breast imaging modalities, and may be used as an alternative screening tool for BC.

Burden, trends, and risk factors for breast cancer in China from 1990 to 2019 and its predictions until 2034: an up-to-date overview and comparison with those in Japan and South Korea

BACKGROUND

The difference in epidemiological characteristics of breast cancer (BC) across countries is valuable for BC management and prevention. The study evaluated the up-to-date burden, trends, and risk factors of BC in China, Japan and South Korea during 1990-2019 and predicted the BC burden until 2034.

METHODS

Data on incident cases, deaths, disability-adjusted life-years (DALYs) and age-standardized rate (ASR) of BC were extracted from the Global Burden of Disease Study 2019. Trend analysis and prediction until 2034 were conducted by estimated annual percentage change and a Bayesian age-period-cohort model, respectively. Besides, the attributable burden to BC risk factors was also estimated.

RESULTS

In 2019, the number of BC incident cases, deaths and DALYs in China were 375,484, 96,306 and 2,957,453, respectively. The ASR of incidence increased, while that of death and DALYs decreased for Chinese females and Japanese and South Korean males during 1990-2019. High body-mass-index (BMI) was the largest contributor to Chinese female BC deaths and DALYs, while alcohol use was the greatest risk factor for Japanese and South Korean as well as Chinese males. The incident cases and deaths were expected to continue increase during 2020-2034 (except for Japanese female incident cases).

CONCLUSIONS

China had the greatest burden of BC among the three countries. Incident cases and deaths of BC were projected to increase over the next 15 years in China, particularly among Chinese males. Effective prevention and management strategies are urgently necessary for BC control in China.

Intermedin (adrenomedullin 2) promotes breast cancer metastasis via Src/c-Myc-mediated ribosome production and protein translation

PURPOSE

Breast cancer is the most frequently diagnosed cancer and is the leading cause of cancer-associated mortality in women worldwide. Intermedin (IMD, also known as Adrenomedullin 2, ADM2) is an endogenous peptide that belongs to the calcitonin gene-related peptide family and has been reported to play important roles in several types of cancers, including breast cancer. In this study, we sought to investigate how IMD affects the behavior of breast cancer cells, the underlying mechanism of these effects, and whether blockade of IMD has a therapeutic effect against breast cancer.

METHODS

Transcriptome sequencing (RNA-Seq), cell biological experiments, Western blotting, immunoprecipitation, and animal tumor models were used.

RESULTS

IMD expression was significantly increased in breast cancer samples, and the IMD level was positively correlated with lymph node metastasis and Ki67 expression. Cell biological experiments showed that IMD promoted the anchorage-independent growth, migration, and invasive ability of breast cancer cells. Inhibiting IMD activity with an anti-IMD monoclonal antibody blocked these tumor-promoting effects. In addition, blockade of IMD reduced in situ tumor growth and significantly decreased lung metastasis of 4T1 breast cancer in vivo. IMD induced Src kinase phosphorylation, which triggered the transcription of c-Myc, a major oncoprotein controlling the expression of genes that encode ribosomal components. Our data suggest that IMD is involved in breast cancer cell invasion and metastasis, potentially through increasing ribosome biogenesis and protein translation via the Src/c-Myc signaling pathway.

CONCLUSION

These results suggest that IMD may be a novel target for the treatment of breast cancer.

Comparisons of Metastatic Patterns, Survival Outcomes and Tumor Immune Microenvironment Between Young and Non-Young Breast Cancer Patients

Background: Metastases are the main cause of breast cancer-related deaths. Breast cancer has a more aggressive phenotype and less favorable prognosis in young females than in older females. In this study, we aimed to compare the metastatic patterns, survival outcomes and tumor immune microenvironment of young and non-young breast cancer patients.

Methods: Patients with a diagnosis of breast cancer were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. The significance of young age (≤40 years) in the metastatic profile and prognosis of breast cancer was investigated. The transciptome expression data were acquired from The Cancer Genome Atlas (TCGA) database. And the differentially expressed genes (DEGs) and primarily enriched function pathways were identified by comparing between young and non-young breast cancer samples, and tumor immune infiltrating cell types in the tumor microenvironment were compared.

Results: A total of 281,829 female breast cancer patients were included in SEER: 18,331 young (6.5%) and 263,498 non-young (93.5%) women. The metastatic rates of bone, liver and distant lymph nodes (DLNs) in the young cohort were significantly higher than those in the non-young cohort. The most frequent two-site metastatic combination was bone and liver (0.61%) in the young cohort, whereas it was bone and lung (0.32%) in the non-young cohort. Breast cancer-specific survival (BCSS) was significantly shortened among those in the young cohort compared with those in the non-young cohort (p &lt; 0.001). Young age was associated with significantly shorter BCSS only among patients with HR+/HER2- tumors (p &lt; 0.001). The enriched biological pathways based on DEGs between two cohorts were related to the regulation of immune response and several metabolic processes. M2 macrophages were significantly abundant in non-young breast cancer than young breast cancer.

Conclusion: Young and non-young breast cancer patients present with different metastatic patterns. Young age is a negative prognostic factor, particularly for HR+/HER2- breast cancer. The differences in metastatic patterns between young and non-young cohorts should be taken into account in the clinical management of metastatic breast cancer. The young breast cancer patients may gain better response to immunotherapy due to immune activated TME than non-young breast cancer.

Association between long non-coding RNA H19 polymorphisms and breast cancer risk: a meta-analysis

Common genes mutation was demonstrated associating with the risk of breast cancer (BC) recently, while the role of long non-coding RNA (lncRNA) polymorphism is still controversial. A meta-analysis was designed to discuss the association between lncRNA H19 polymorphisms and susceptibility to BC. The related databases were systematically reviewed up to April 13, 2021. Estimates were summarized as ORs and 95 percent CIs for each included study. The heterogeneity was assessed by the I² test and subgroup analysis. Ten studies with 10354 BC patients and 11,177 control cases were included in our study. LncRNA H19 single nucleotide polymorphism (SNP) rs2839698 C/T significantly increases the susceptibility of BC (OR = 1.717 , 95 percent CI = 1.052-2.803, P = 0.031). LncRNA H19 polymorphism rs3741219 and rs217727 also increase the risk of ER-positive BC (OR = 1.128 , 95 percent CI = 1.010-1.259, P = 0.0032 for rs3741219, and OR = 1.297, 95 percent CI = 1.027-1.639, P = 0.029 for rs217727). Our results demonstrated that lncRNA H19 SNP rs2839698 C/T was significantly associated with the susceptibility of BC. LncRNA H19 SNP rs217727 and rs3741219 were associated with the risks of ER-positive BC. However, further studies are needed to reach a robust conclusion.

Estimating the number of Chinese cancer patients eligible for and benefit from immune checkpoint inhibitors

The total number of cancer patients who are eligible for and will benefit from immune checkpoint inhibitors (ICIs) in China has not been quantified. This cross-sectional study was conducted to estimate the number of Chinese cancer patients with eligibility and response to ICIs based on the 2015 Chinese cancer statistics and the immune checkpoint inhibitor clinical practice guideline of the Chinese Society of Clinical Oncology. A total of 11 ICIs were recommended for 17 cancer types. The estimated number of eligible patients annually was 1 290 156 (55.18%), which included 888 738 males (60.05%) and 400 468 females (46.67%). The estimated number of responders annually was 448 972 (19.20%), which included 309 023 males (20.88%) and 139 764 females (16.29%). Gastric cancer (n=291 000, 12.45%), non-small-cell lung cancer (n=289 629, 12.39%), and hepatocellular carcinoma (n=277 100, 11.85%) were the top three cancer types with the highest number of eligible patients. Non-small-cell lung cancer (n=180 022, 7.70%), hepatocellular carcinoma (n=75 648, 3.24%), and small-cell lung cancer (n=64 362, 2.75%) were the top three cancer types with the highest number of responders. In conclusion, ICIs provide considerable benefit in Chinese cancer patients under optimal estimation.

The Role of the Psycho-Oncologist during the COVID-19 Pandemic: A Clinical Breast Cancer Case Report

The 2019 coronavirus pandemic (COVID-19) has been very stressful, but more so for those with cancer. Patients with cancer experienced more pandemic-related stress and psychological distress than those without a cancer diagnosis. This case report, about a breast cancer patient, is presented in order to emphasize (1) the importance of the management of psychological care in oncology, (2) the need for a thorough understanding of the efficacy of the role of the psycho-oncologist and related interventions in a breast care unit for the health of both patients and professionals to improve clinical outcomes, and (3) the emerging health concerns of breast cancer patients in the context of the COVID-19 pandemic.

Clinical characteristics and prognostic analysis of multiple primary malignant neoplasms in female patients with breast cancer or genitalia malignancies

Background

As public awareness of health has increased and diagnostic and treatment options have improved, the survival of patients with malignant tumors has continued to extend, and the population has been aging, the number of multiple primary malignant neoplasms has gradually increased in recent years. There are few reports concerning female patients with multiple primary malignant neoplasms of breast cancer or genitalia malignancies. In this study, we aimed to analyze the clinical characteristics and prognosis of multiple primary malignant neoplasms in female patients with breast cancer or genitalia malignancies, as well as further explore the factors that affect the survival.

Methods

We collected clinical data on 80 female patients diagnosed with multiple primary malignant neoplasms of the breast or genitalia, described their clinical features. Furthermore, we calculated the survival and prognostic factors for 52 participants.

Results

In our study, the prevalence rate of multiple primary malignant neoplasms was 0.66% (367/55404). Corresponding to female patients with multiple primary malignant neoplasms of breast cancer or genitalia malignancies, it was 1.4% (80/5707). the median age of diagnosis for the first tumor was 48 years, and the median age of diagnosis for the second tumor was 52 years. Regarding the interval, 67.57% (50/74) of patients were within five years. Most tumors were located in the breast (44.68%), followed by the uterus (20.21%), the ovary (17.02%), and the cervix (15.96%). The overall 12-, 36-and 60-month survival rates of the patients were 86.4%, 74.3%, and 69.8%. For the female patients, the stage (III-IV) (P = 0.046), non-radical surgery (P = 0.002), and types of the last tumor (breast cancer or genitalia malignancies) (P = 0.019) were associated with the poor prognosis.

Conclusions

Female patients with breast cancer or genital malignancies should pay attention to screening for the second tumor, especially within 4 years after the first tumor diagnosed. Furthermore, during tumor screening, it may be recommended for these patients to focus on colorectal cancer and lung cancer. Compared with previous studies, in addition to clinical staging and types of surgery, we found whether the last tumor was breast cancer or genitalia malignancies should also be considered a prognostic factor.

A Single-Center Retrospective Analysis of Local and Distant Relapse of Breast Cancer Following Immediate Breast Reconstruction According to Molecular Subtypes

Purpose

Concerns have been raised about the oncologic safety of immediate breast reconstruction (IBR) following mastectomy for breast cancer. This study aimed to evaluate locoregional recurrence (LRR) and distant metastasis (DM) of breast cancer according to its molecular subtype in patients who underwent mastectomy alone or IBR after mastectomy.

Methods

In this retrospective cohort study, consecutive breast cancer patients treated by the single senior surgeon (XZ) between February 2010 and December 2014 were eligible. In total, 389 consecutive patients were included; 295 patients underwent mastectomy alone and 94 patients underwent mastectomy with IBR. Data were retrospectively collected and analyzed for LRR and DM stratified by molecular subtypes.

Results

With a median follow-up of 73 and 87.5 months, 1.69% of patients in the mastectomy alone group developed LRR compared to 0% in the reconstruction group (p = 0.342) and the total incidence of DMs was 11.52% in patients who received mastectomy alone and 7.44% in patients who received postmastectomy IBR (p = 0.262), respectively. The cumulative incidence of LRR was 2.1% vs. 0% for luminal A, 0% vs. 0% for luminal B, 0% vs. 0% for human epidermal growth factor receptor 2 (HER2)-enriched, and 4.5% vs. 0% for triple-negative in the mastectomy alone group compared to the postmastectomy IBR group. The cumulative incidence of DM was 15.5% vs. 5.7% for luminal A, 10% vs. 8.7% for luminal B, 17.3% vs. 0% for HER2-enriched, and 6.8% vs. 7.1% for triple-negative in the mastectomy alone group compared to the postmastectomy IBR group. On multivariable Cox regression analysis, lymph node metastasis was associated with an increased risk of DM in the mastectomy alone group (p = 0.03) and neoadjuvant chemotherapy was associated with an increased risk of DM in the postmastectomy IBR group (p = 0.021).

Conclusion

This study suggests that IBR does not have a negative impact on the LRR and DM of breast cancer according to molecular subtypes.

Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is the subtype with the worst prognosis of breast cancer. Ferroptosis, a novel iron-dependent programmed cell death, has an increasingly important role in tumorigenesis and development. However, there is still a lack of research on the relationship between ferroptosis-related genes and the prognosis of TNBC. In this study, we obtained the gene expression profile of TNBC patients and matched clinical data from The Cancer Genome Atlas (TCGA) database. Univariate Cox analysis was used to screen out ferroptosis-related genes associated with TNBC prognosis. Then, the least absolute shrinkage and selection operator (LASSO) regression analysis was employed to establish a prognostic prediction model. A 15-ferroptosis-related gene prognostic prediction model was developed, which classified patients into low-risk (LR) or high-risk (HR) groups. Kaplan-Meier analysis results showed that the prognosis of the LR group was better. The receiver operating characteristic (ROC) curve also confirmed the satisfactory predictive ability of this model. Evaluation of the immune microenvironment of TNBC patients in the HR and LR group suggested these 15 ferroptosis-related genes might affect the prognosis of TNBC by regulating the tumor microenvironment. Our prognostic model can provide a theoretical basis for accurate prognosis prediction of TNBC in clinical practice.

Associations Between Serum Reproductive Hormone Concentrations and Hormonal Receptor Status Among Postmenopausal Chinese Women With Breast Cancer: An Observational Study

Background and Objectives

Reproductive hormones and receptors play crucial roles in breast cancer development and progression. The association between preoperative serum reproductive hormone levels and receptor status in postmenopausal women with breast cancer remains unclear. Therefore, this study investigated the relationship between serum reproductive hormone concentrations and patient characteristics and hormone receptor status among postmenopausal Chinese women with breast cancer.

Materials and Methods

The medical records of 352 postmenopausal breast cancer patients who underwent an operation between October 2007 and October 2010 at the Department of Breast Tumor Surgery of Zhejiang Cancer Hospital were retrospectively evaluated. Serum levels of reproductive hormones were measured before surgery by liquid-chromatography tandem mass spectrometry. Hormone receptor levels were measured by an immunohistochemical assay using a mouse monoclonal antibody. The associations between serum hormone concentrations and hormone receptors were investigated by analysis of covariance.

Results

In this patient cohort, the serum level of luteinizing hormone (LH) declined with PMP duration. The median LH concentration was significantly higher in patients within 5 years of PMP than that in patients with PMP duration exceeding 5 years (23 vs. 18.32 mIU/ml, P <.0001). Significantly more patients with strong estrogen receptor (ER) or progesterone receptor (PR) expression had postmenopausal durations of less than 5 years compared to those with postmenopausal durations greater than 5 years (103 vs. 61 cases, P = .019; 93 vs. 46 cases, P = .0005). While most patients either lacked (97.1%) or co-expressed (84.3%) ER and PR, some patients expressed either ER or PR alone. ER and PR expression were negatively associated with receptor-tyrosine kinase erbB-2 (HER2) expression in postmenopausal patients with breast cancer. Meanwhile, increased ER and PR expression were associated with decreased serum levels of LH or follicle-stimulating hormone (FSH).

Conclusion

Decreased serum LH and FSH levels were associated with increased ER and PR expressions and decreased HER2 expression in postmenopausal patients with breast cancer.

Validity and reliability of the Chinese version of the Patient-Reported Outcomes Measurement Information System adult profile-57 (PROMIS-57)

Background

The PROMIS-57 is a commonly used self-reported instrument to solve the lack of generalizable and universal measures required to evaluate common symptoms and functions from patients’ perspectives. This study aimed to translate the PROMIS-57 into Chinese and psychometrically test the translated instrument on patients with breast cancer.

Methods

Translation, cross‑cultural adaptation, and psychometric evaluation of the instrument were performed from June 2020 to June 2021. Eligible patients were recruited and completed the PROMIS-57, Functional Assessment of Cancer Therapy-Breast (FACT-B), and a sociodemographic questionnaire.

Results

Data from 602 patients with a mean age of 48.83 years were analyzed. Most domains in the PROMIS-57 showed an absence of floor and ceiling effects. Multi-trait scaling analysis demonstrated acceptable convergent and discriminant validity. The correlations between the PROMIS-57 scores and the selected FACT-B scores supported the criterion validity via the Pearson correlation test. Measurement invariance was supported by the absence of differential item functioning for most items. Cronbach’s α of the domains ranged from 0.85–0.95. The unidimensional factor structure of all domains was supported using confirmatory factor analyses. Additionally, most items showed acceptable item information curves and item characteristics curve matrices.

Conclusion

The Chinese version of the PROMIS-57 was found to be a reliable and valid tool for assessing common symptoms and functions among patients with breast cancer.

Breast Cancer Awareness Based on Health Information Literacy and Influential Factors among Female Nursing Students in China

This investigation aimed to study breast cancer awareness based on health information literacy and influential factors of breast cancer awareness among female nursing students in Changchun city in China. A four-part self-report questionnaire including the participants' general demographic characteristics, the participants' specialized characteristics concerning breast cancer screening, the Chinese version of the Breast Cancer Awareness Measurement (C-BCAM), and the Chinese version of the Health Information Literacy Self-rating Scale (HILSS) was designed to investigate breast cancer awareness and health information literacy and influential factors of breast cancer awareness among 205 female nursing students in Year 1-Year 3 using convenience sampling. The data were analyzed with SPSS 26.0 using descriptive statistics, nonparametric tests, and multiple regression analysis. The nursing students had an average level of HIL (median = 101.00, (93.00, 107.00)) and a good level of breast cancer awareness (median = 82.00, (76.00, 88.00)). A significant positive correlation was found between the HILSS and total C-BCAM score (r = 0.439, P < 0.01). Multivariate logistic regression analysis demonstrated that grades (P < 0.001), training in BSE (P = 0.025), and intention of undergoing breast cancer screening (P = 0.028) were three predictive factors for breast cancer awareness among female nursing students. The female nursing students' HIL was at an average level, and breast cancer awareness was at a good level. Health information literacy and breast cancer awareness among female nursing students in Changchun were significantly positively correlation, as demonstrated by this survey. Therefore, nursing education has the responsibility to improve female nursing students' awareness of breast cancer at different grades and to cultivate health information literacy. More training in BSE is needed. Greater efforts may be needed to develop targeted nursing education to strengthen female nursing students' awareness of breast cancer and HIL.

The Added Value of a Computer-Aided Diagnosis System in Differential Diagnosis of Breast Lesions by Radiologists With Different Experience

OBJECTIVES

To evaluate the value of the computer-aided diagnosis system, S-Detect (based on deep learning algorithm), in distinguishing benign and malignant breast masses and reducing unnecessary biopsy based on the experience of radiologists.

METHODS

From February 2018 to March 2019, 266 breast masses in 192 women were included in our study. Ultrasound (US) examination, including S-Detect technique, was performed by the radiologist with about 10 years of clinical experience in breast US imaging. US images were analyzed by four other radiologists with different experience in breast imaging (radiologists 1, 2, 3, and 4 with 1, 4, 9, and 20 years, respectively) according to their clinical experience (with and without the results of S-Detect). Diagnostic capabilities and unnecessary biopsy of radiologists and radiologists combined with S-Detect were compared and analyzed.

RESULTS

After referring to the results of S-Detect, the changes made by less experienced radiologists were greater than experienced radiologists (benign or malignant, 44 vs 22 vs 14 vs 2; unnecessary biopsy, 34 vs 25 vs 10 vs 5). When combined with S-Detect, less experienced radiologists showed significant improvement in accuracy, specificity, positive predictive value, negative predictive value, and area under curve (P < .05), but not for experienced radiologists (P > .05). Similarly, the unnecessary biopsy rate of less experienced radiologists decreased significantly (44.4% vs 32.7%, P = .006; 36.8% vs 28.2%, P = .033), but not for experienced radiologists (P > .05).

CONCLUSIONS

Less experienced radiologists rely more on S-Detect software. And S-Detect can be an effective decision-making tool for breast US, especially for less experienced radiologists.

Identification and Verification of Key Tumor Genes Associated with Diagnosis and Prognosis of Breast Cancer Based on Bioinformatics Analysis

Breast cancer (BC) is the most common cancer and the most frequent cause of cancer death among women worldwide. The aim of the present study was to identify the critical genes for the diagnosis and prognosis of BC. Two mRNA expression data (GSE29431 and GSE42568) were acquired from the GEO database. The determination of differently expressed genes (DEGs) between BC specimens and nontumor specimens was completed via the LIMMA package of R. GO annotation and KEGG pathway enrichment analyses were applied to explore the function of DEGs. Kaplan-Meier methods were used to determine the prognostic value of DEGs in BC using TCGA datasets. The diagnostic value of the survival-related DGEs were confirmed using ROC assays in two GEO datasets. RT-PCR was used to examine the expression of the critical genes in BC cells and normal breast cells. CCK-8 experiments were applied to explore the function of the critical genes in BC cells. In this study, we identified 31 DEGs between BC specimens and nontumor specimens. KEGG analysis revealed 31 DEGs were involved in PPAR signal path, AMPK signal path, glycerolipid metabolism, adipocytokine signaling pathway, phenylalanine metabolism, tyrosine metabolic process, and glycine, serine, and threonine metabolic process. Four DEGs including CRYAB, DEFB132, MAOA, and RBP4 were observed to be associated with clinical outcome of BC patients. Their diagnostic values were also confirmed in both GSE29431 and GSE42568 datasets. In addition, we analyzed TCGA datasets and confirmed that the results were consistent with GEO datasets. Finally, the results of RT-PCR confirmed that the expression of CRYAB and RBP4 was distinctly downregulated in BC cells. CCK-8 analysis revealed that overexpression of CRYAB and RBP4 distinctly suppressed the proliferation of BC cells. Overall, our findings suggested CRYAB and RBP4 as critical genes for the diagnosis and prognosis of BC patients. They may be used as novel biomarkers for BC patients.

Role of CDK4/6 inhibitors in patients with hormone receptor (HR)-positive, human epidermal receptor-2 negative (HER-2) metastatic breast cancer study protocol for a systematic review, network meta-analysis and cost-effectiveness analysis

INTRODUCTION

It is currently unclear which cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, combined with endocrine therapy, is the preferred treatment approach in patients with hormone receptor (HR)-positive, human epidermal receptor-2 (HER2) negative metastatic breast cancer. The aim of this study was to evaluate the existing evidence for the comparative efficacy, safety and cost-effectiveness of different CDK4/6 inhibitors for metastatic breast cancer in first-line and second-line settings.

METHODS AND ANALYSIS

We will systematically conduct a literature search in Embase, PubMed and the Cochrane Library and additional searches by handsearching citations of previous systematic reviews. We will also screen major conference proceedings (American Society of Clinical Oncology, European Society of Medical Oncology and San Antonio Breast Cancer Symposium). Preliminary scoping searches were conducted in July 2021, but the search will be updated when new trials are available. The primary outcome was progression-free survival. The secondary outcomes were overall survival, objective response rates, grade 3-4 haematological and non-haematological toxicities, quality-adjusted life years and incremental cost-effectiveness ratios. The risk of bias will be assessed by Cochrane risk of bias tools, and the quality of evidence will be assessed by the Grading of Recommendations Assessment, Development and Evaluation. Subgroup analyses and sensitivity analyses will be performed to further confirm our findings. In addition, one-way sensitivity analysis and probabilistic sensitivity analyses will be conducted to determine uncertainty.

ETHICS AND DISSEMINATION

This study does not require ethics approval as only secondary data will be collected. The results of our study will provide an overview of the current level of CDK4/6 inhibitors for patients with HR-positive, HER2-negative metastatic breast cancer, and undertake subgroup analyses to explore variables that might affect these effects. The results of this study will be presented at an international clinical conference and published in a peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42021266597.

Gail model and fifth edition of ultrasound BI-RADS help predict axillary lymph node metastasis in breast cancer-A multicenter prospective study

RATIONALE AND OBJECTIVES

We aim to assess the performance of the Gail model and the fifth edition of ultrasound BI-RADS (Breast Imaging Reporting and Data System) in breast cancer for predicting axillary lymph node metastasis (ALNM).

MATERIALS AND METHODS

We prospectively studied 958 female patients with breast cancer between 2018 and 2019 from 35 hospitals in China. Based on B-mode, color Doppler, and elastography, radiologists classified the degree of suspicion based on the fifth edition of BI-RADS. Individual breast cancer risk was assessed with the Gail model. The association between the US BI-RADS category and the Gail model in terms of ALNM was analyzed.

RESULTS

We found that US BI-RADS category was significantly and independently associated with ALNM (P < 0.001). The sensitivity, specificity, and accuracy of BI-RADS category 5 for predicting ALNM were 63.6%, 71.6%, and 68.6%, respectively. Combining the Gail model with the BI-RADS category showed a significantly higher sensitivity than using the BI-RADS category alone (67.8% vs. 63.6%, P < 0.001). The diagnostic accuracy of the BI-RADS category combined with the Gail model was better than that of the Gail model alone (area under the curve: 0.71 vs. 0.50, P < 0.001).

CONCLUSION

Based on the conventional ultrasound and elastography, the fifth edition of ultrasound BI-RADS category could be used to predict the ALNM of breast cancer. ALNM was likely to occur in patients with BI-RADS category 5. The Gail model could improve the diagnostic sensitivity of the US BI-RADS category for predicting ALNM in breast cancer.

Naples prognostic score: a novel predictor of survival in patients with HER2-positive breast cancer

Purpose: The predictive significance of the Naples prognostic score (NPS) in HER2-positive breast cancer is unclear. Hence we sought to evaluate the relationship between NPS and the clinical outcomes in HER2-positive breast cancer patients. Methods: This study retrospectively collected and analyzed data from 173 HER2-positive breast cancer patients between August 2004 and February 2014. The Cox regression model was applied in univariate and multivariate statistical analysis. Results: In multivariate analysis, increased NPS score correlated significantly with poor overall survival (p = 0.001) and disease-free survival (p < 0.001). Conclusion: Our findings may point to NPS being a novel and reliable prognostic score system with favorable predictive ability for HER2-positive breast cancer patients.

Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

Study of socioeconomic factors can play an important role in the spatial distribution of breast cancer by leading to a better understanding of its spatial pattern and assist breast cancer screening and early diagnosis. Taking Nanchang, a major city in central China, as an example, spatial autocorrelation and stratified heterogeneity were applied using a 10 10 km grid division to analyse breast cancer risk and socioeconomic factors. The research results showed that the median incidence rate of female breast cancer in Nanchang from 2016 to 2018 was 6.6/100,000 with a standard deviation of 12.3/100,000. Areas with higher incidence rates were mainly located in the central urban area and the major county towns. Spatial regression analysis showed that there was a statistically significant correlation between the spatial patterns of breast cancer incidence on the one hand, and on the other socioeconomic factors, such as total gross domestic product (GDP), per capita GDP and density of places of social and economic activities, i.e. points of interest. In addition, the normalized difference vegetation index also played a part in this respect. This research could serve as a reference for regional public health policy formulation and breast cancer screening.

Significance of preoperative peripheral blood neutrophil-lymphocyte ratio in predicting postoperative survival in patients with multiple myeloma bone disease

BACKGROUND

The neutrophil-lymphocyte ratio (NLR) is often used to predict a poor prognosis in patients with tumors. This study investigated the preoperative peripheral blood NLR in predicting postoperative survival (POS) in patients with multiple myeloma bone disease (MMBD).

AIM

To evaluate whether NLR can be used to predict the prognosis of MMBD patients after surgery.

METHODS

The clinical data of 82 MMBD patients who underwent surgical treatments in Beijing Chao-yang Hospital were collected. The NLR was obtained from the absolute number of neutrophils and lymphocytes, calculated by the number of neutrophils and divided by the number of lymphocytes. The peripheral blood lymphocyte percentage was used as the major marker to analyze the change in characteristics of the immune statuses of multiple myeloma patients.

RESULTS

The NLR cut-off values of NLR ≥ 3 patients and NLR ≥ 4 patients were significantly correlated with POS. The 3- and 5-year cumulative survival rates of the high NLR group (NLR ≥ 3 patients) were 19.1% and 0.0%, respectively, which were lower than those of the low NLR group (NLR < 3 patients) (67.2% and 48.3%) (P = 0.000). In the high NLR group, POS (14.86 ± 14.28) was significantly shorter than that in the low NLR group (32.68 ± 21.76). Univariate analysis showed that the lymphocyte percentage 1 wk after the operation (19.33 ± 9.08) was significantly lower than that before the operation (25.72 ± 11.02). Survival analysis showed that postoperative chemotherapy, preoperative performance status and preoperative peripheral blood NLR ≥ 3 were independent risk factors for POS.

CONCLUSION

The preoperative peripheral blood NLR can predict POS in MMBD patients. MMBD patients with a high preoperative NLR (NLR ≥ 3) showed poor prognosis.

Trends of cancer mortality in Xi'an City, China: 2005-2020

PURPOSE

Describe and predict the malignant tumor deaths in Xi'an so as to provide evidence for the government to formulate the prevention and treatment plans.

METHODS

Overall malignant tumor death in Xi'an in the past 16 years was described. The multi-decrease life table was used to calculate cumulative mortality risk by cause and life expectancy reduction years by cause of malignant tumors in 2020. The join point regression models were used to analyze the change trend of standard mortality of malignant tumors in Xi'an from 2005 to 2020. The appropriate gray models were selected to predict the death of malignant tumors in Xi'an in the next decade.

RESULTS

The mortality of total malignant tumors in Xi'an showed that men are higher than women and the elderly are higher than other groups. As for 2020, lung cancer had the highest risk of death for both men and women, while leukemia had the highest life expectancy reduction years by cause. From 2005 to 2020, standardized mortality of majority malignant tumors showed downward trends, which were particularly obvious in recent years. The prediction results of several major malignant tumors showed that in the next decade, the mortality of most malignant tumors had downward trends, but combined with the increase of population in the future, the number of malignant tumor deaths in Xi'an will continue to increase.

CONCLUSIONS

Malignant tumors in Xi'an have decreasing mortality trends in recent years, and effective measures to prevent and treat tumors should be strengthened in the future.

Dynamic Meta-data Network Sparse PCA for Cancer Subtype Biomarker Screening

Previous research shows that each type of cancer can be divided into multiple subtypes, which is one of the key reasons that make cancer difficult to cure. Under these circumstances, finding a new target gene of cancer subtypes has great significance on developing new anti-cancer drugs and personalized treatment. Due to the fact that gene expression data sets of cancer are usually high-dimensional and with high noise and have multiple potential subtypes’ information, many sparse principal component analysis (sparse PCA) methods have been used to identify cancer subtype biomarkers and subtype clusters. However, the existing sparse PCA methods have not used the known cancer subtype information as prior knowledge, and their results are greatly affected by the quality of the samples. Therefore, we propose the Dynamic Metadata Edge-group Sparse PCA (DM-ESPCA) model, which combines the idea of meta-learning to solve the problem of sample quality and uses the known cancer subtype information as prior knowledge to capture some gene modules with better biological interpretations. The experiment results on the three biological data sets showed that the DM-ESPCA model can find potential target gene probes with richer biological information to the cancer subtypes. Moreover, the results of clustering and machine learning classification models based on the target genes screened by the DM-ESPCA model can be improved by up to 22–23% of accuracies compared with the existing sparse PCA methods. We also proved that the result of the DM-ESPCA model is better than those of the four classic supervised machine learning models in the task of classification of cancer subtypes.

A racemosin B derivative, C25, suppresses breast cancer growth via lysosomal membrane permeabilization and inhibition of autophagic flux

Breast cancer is the most common malignancy among women worldwide. As conventional therapies are only partially successful in eradicating breast cancer, the development of novel strategies is a top priority. We previously showed that C25, a new racemosin B derivative, exerts its anti-cancer activity through inhibition of autophagy, but the underlying mechanism remained unknown. Here we show that C25 inhibits the growth of diverse breast cancer cell subtypes and effectively suppresses tumor progression in a xenotransplantation model of triple negative breast cancer. C25 acts as a lysosomotropic agent to induce lysosomal membrane permeabilization and inhibit autophagic flux, resulting in cathepsin release and cell death. In accordance, RNA sequencing and gene set enrichment analysis revealed that C25 induces pathways consistent with autophagy inhibition, cell cycle arrest and senescence. Interestingly, knockdown of TFEB or SQSTM1 reduced cell death induced by C25 treatment. Finally, we show that C25 synergizes with the chemo-therapeutics etoposide and paclitaxel to further limit breast cancer cell growth. Thus, C25 alone or in combination with other anti-neoplastic agents offers a novel therapeutic strategy for aggressive forms of breast cancer and possibly other malignancies.

Evaluation of Pharmacokinetics and Safety With Bioequivalence of Anastrozole in Healthy Chinese Volunteers: Bioequivalence Study Findings

Anastrozole is a third-generation aromatase inhibitor that exerts potent anti-breast cancer effects. This trial aimed to explore the pharmacokinetics (PK) and safety with bioequivalence of orally administered anastrozole provided by 2 sponsors in healthy volunteers.Two separate open-label, randomized, single-dose, crossover-design studies consisting of a fasting study (n = 23) and a fed study (n = 23, 1 participant withdrew before taking medication) were conducted. In each study, healthy volunteers were randomized to receive the test product (Haizheng Pharmaceutical Group) followed by the reference drug (AstraZeneca Pharmaceuticals LP), or vice versa. Each study subject received a 1-mg anastrozole tablet with a 21-day washout. The plasma concentrations of anastrozole were measured with liquid chromatography-tandem mass spectrometry, and PK parameters were determined by noncompartmental analysis. Forty-six healthy female volunteers were enrolled. For patients enrolled in the fasting study, the mean age was 55.0 years, mean weight was 57.1 kg, mean body mass index was 23.6 kg/m² , and mean height was 155.5 cm. For patients enrolled in the fed study, the mean age was 54.2 years, mean weight was 55.9 kg, mean body mass index was 23.9 kg/m² _, and mean height was 152.8 cm. All PK end points met the predefined criteria for PK equivalence. In fasting subjects, the median maximum plasma concentration was 23.4 and 22.6 at 1 hour for test and reference formulations, respectively. The maximum plasma concentration in fed subjects was 18.7 and 18.5 at 4 hours for test and reference formulations, respectively. Both fasting and fed studies achieved plausible bioequivalence. Anastrozole was well tolerated and exhibited a favorable safety profile at the prescribed doses. The severity of observed adverse events assessed according to the Common Terminology Criteria for Adverse Events (version CTCAE4.03) was mild, and some of the adverse events were not caused by anastrozole. Furthermore, the results of our study under fasting and fed conditions demonstrated bioequivalence of the test and reference products.

Atractylodin induces oxidative stress-mediated apoptosis and autophagy in human breast cancer MCF-7 cells through inhibition of the P13K/Akt/mTOR pathway

This study aimed to determine the apoptosis and autophagy-inducing mechanism of atractylodin in human breast cancer MCF-7 cells. The molecular mechanism of anticancer activity of atractylodin was confirmed by assessing the levels of reactive oxygen species (ROS) level, lipid peroxidation (LPO), antioxidants activity, dual staining, and comet assay. Moreover, cleaved caspases 3, 8, and 9, and signaling proteins, such as p53, Bcl-2, and Bax, phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin(P13K/Akt/mTOR), LC3I and LC3II, and beclin-1 were analyzed. In MCF-7 cells treated with atractylodin, the concentration-dependent toxicity, increased LPO, increased production of ROS, and decreased activity of superoxide dismutase, catalase, and glutathione peroxidasewere observed. In MCF-7 cells, atractylodin administration decreased Bcl-2 expression while activating the expression of p53, Bax, cleaved caspase-3, caspase-8, and caspase-9 apoptotic members. Furthermore, atractylodin blocked the P13K/Akt/mTOR signaling pathway, increased the conversion of LC3I to its lipidated form of LC3II, and increased beclin-1 expression, whereas downregulated the p62 expression in MCF-7 cells. As a result, altering apoptotic and autophagy-related biomarkers, atractylodin triggered apoptosis and autophagy in MCF-7 cells. As a result, atractylodin could be utilized to treat human breast cancer after the proper clinical trial.

A Cross-Sectional Study of Breast Cancer Surgery and the Cost Based on Data From 77 Chinese 3A Hospitals in 2015

Purposes

We aimed to clarify the real-world status of breast cancer surgery and the cost in China.

Methods

This cross-sectional survey relied on data obtained from the hospitalization summary reports (HSRs) in 77 top-ranked (grade 3A) hospitals in China to analyze breast cancer patients who underwent surgery between January 2015 and December 2015. The surgery and cost were mainly evaluated.

Results

Overall, 31,900 breast cancer patients underwent surgeries in 77 hospitals. The mean age in our study was 51.5 years (SD, 11.7 years). The primary types of surgical procedures were mastectomy (n = 24,629, 77.2%) and breast-conserving surgery (6,210, 19.5%). The rate of mastectomy was the highest at age band 50-65 years (n = 10,861, 82.1%) and in non-first-tier cities (n = 7,651, 88.4%) as well as in Northeast China (n = 3,107, 93.2%). The rate of breast-conserving surgery was less than 10% in non-first-tier cities (9.8%), Southwest China (6.1%), and Northeast China (5.8%). The median cost was $3,352.4 (interquartile range (IQR), $2,492.6-4,588.0). Mastectomy cost was significantly higher than breast-conserving surgery cost in both different city tiers and regional distribution except Northeast China (p < 0.001).

Conclusions

This study demonstrated that the main breast cancer surgery in Chinese 3A hospitals was mastectomy and that the cost varied both across and within geographic regions and city tiers. This information helps describe the real-world status of breast surgery and the cost in China.

Computerized Analysis of Mammogram Images for Early Detection of Breast Cancer

Breast cancer is widespread worldwide and can be cured if diagnosed early. Using digital mammogram images and image processing with artificial intelligence can play an essential role in breast cancer diagnosis. As many computerized algorithms for breast cancer diagnosis have significant limitations, such as noise handling and varying or low contrast in the images, it can be difficult to segment the abnormal region. These challenges could be overcome by proposing a new pre-processing model, exploring its impact on the post-processing module, and testing it on an extensive database. In this research work, the three-step method is proposed and validated on large databases of mammography images. The first step corresponded to the database classification, followed by the second step, which removed the pectoral muscle from the mammogram image. The third stage utilized new image-enhancement techniques and a new segmentation module to detect abnormal regions in a well-enhanced image to diagnose breast cancer. The pre-and post-processing modules are based on novel image processing techniques. The proposed method was tested using data collected from different hospitals in the Qassim Health Cluster, Qassim Province, Saudi Arabia. This database contained the five categories in the Breast Imaging and Reporting and Data System and consisted of 2892 images; the proposed method is analyzed using the publicly available Mammographic Image Analysis Society database, which contained 322 images. The proposed method gives good contrast enhancement with peak-signal to noise ratio improvement of 3 dB. The proposed method provides an accuracy of approximately 92% on 2892 images of Qassim Health Cluster, Qassim Province, Saudi Arabia. The proposed method gives approximately 97% on the Mammographic Image Analysis Society database. The novelty of the proposed work is that it could work on all Breast Imaging and Reporting and Data System categories. The performance of the proposed method demonstrated its ability to improve the diagnostic performance of the computerized breast cancer detection method.

Breast cancer screening in low and middle-income countries

Breast cancer incidence rates are rising in low and middle-income countries (LMIC), and these populations have reduced access to advanced multidisciplinary treatment. Screening and early detection are therefore critical in these regions but must be affordable and sustainable. Mammography screening programs are well established in more affluent countries, but alternative strategies to reduce the breast cancer burden of LMIC (such as clinical breast examination, general breast health awareness, and addressing modifiable lifestyle factors including obesity) are likely to be more realistic at the present time.

Decision-making about mastectomy among Chinese women with breast cancer: a mixed-methods study protocol

INTRODUCTION

The prevalence of mastectomy in China is higher than its Western counterparts. Little is known about whether Chinese women with breast cancer have been involved in the decision-making process of mastectomy, the level of decisional conflict, their perceptions of mastectomy and the factors that influence them to undergo a mastectomy. This protocol describes a mixed-methods study that aims to provide an in-depth understanding of decision-making about mastectomy among Chinese women with breast cancer.

METHODS AND ANALYSIS

A three-phase, sequential explanatory mixed-methods design will be adopted. The first phase is a retrospective analysis of medical records to determine the current use of mastectomy. The second phase is a cross-sectional survey to examine women's perceptions of involvement, decisional conflict and the factors influencing them to undergo a mastectomy. The third phase is an individual interview to explore women's decision-making experiences with mastectomy. Quantitative data will be analysed using descriptive statistics, t-test, Fisher's exact test, χ² test, analysis of variance, Pearson's correlation and logistic regression. Qualitative data will be analysed by the inductive content analysis.

ETHICS AND DISSEMINATION

Ethical approvals for this study have been obtained from the human research ethics committees of the University of Newcastle, Australia, Zhongshan Hospital Xiamen University, China, and the First Affiliated Hospital of Xiamen University, China. Written informed consent will be obtained from the participants. Findings of this work will be disseminated at international conferences and peer-reviewed publications.

TRIAL REGISTRATION NUMBER

Not applicable.

TGF-β1 Promotes Autophagy and Inhibits Apoptosis in Breast Cancer by Targeting TP63

Background

Breast cancer (BC) is a prevalent female cancer, which has high morbidity and mortality. However, the pathogenesis of BC has not been fully elucidated. Studies have shown that TGF-β1 plays an important role in regulating the balance between autophagy and apoptosis of tumor. We aim to clarify the specific mechanism of autophagy and apoptosis in breast cancer maintaining the tumor microenvironment.

Methods

The clinical characteristics of 850 BC patients were retrieved from the TCGA database. Differentially expressed autophagy-related genes (DEARGs) between tumor and normal tissues were obtained by the Wilcox test. Through Cox proportional hazard regression analysis, the prognostic risk model was constructed and verified by the ROC curve. We used MDC staining, colony formation assay, CCK-8, flow cytometric analysis to confirm the importance of TGF-β1 on the autophagy and apoptosis of breast cancer cells. Furthermore, western blot was performed to determine the relative expression of protein. The Kaplan-Meier Plotter database was utilized to identify the prognostic value of TP63.

Results

We successfully constructed a prognostic risk model of breast cancer and screened out an autophagy-related prognostic gene -TP63. We predicted that TGF-β1 and TP63 have a binding site in the JASPAR database as expected. Additionally, TGF-β1 promoted autophagy and inhibited apoptosis of breast cancer cells by inhibiting the expression of TP63.

Conclusion

Our study demonstrated that the molecular mechanism of TGF-β/TP63 signaling in regulating autophagy and apoptosis of breast cancer and provided a potential prognostic marker in breast cancer.