Tumor-derived mesenchymal progenitor cell-related genes in the regulation of breast cancer proliferation.

Background: Breast cancer (BC) is one of the most common malignancies worldwide, and its development is affected in various ways by the tumor microenvironment (TME). Tumor-derived mesenchymal progenitor cells (MPCs), as the most important components of the TME, participate in the proliferation and metastasis of BC in several ways. In this study, we aimed to characterize the genes associated with tumor-derived MPCs and determine their effects on BC cells. Methods: Tumor-derived MPCs and normal breast tissue-derived mesenchymal stem cells (MSCs) were isolated from tissues specimens of patients with BC. We conducted culture and passage, phenotype identification, proliferation and migration detection, inflammatory factor release detection, and other experiments on isolated MPCs from tumors and MSCs from normal breast tissues. Three paired tumor-derived MPCs and normal breast tissue-derived MSCs were then subjected to transcriptome analysis to determine the expression profiles of the relevant genes, and quantitative real-time polymerase chain reaction (qRT-PCR) was used to further confirm gene expression. Subsequently, the overexpression plasmids were transfected into tumor-derived MPCs, and the expression of various inflammatory factors of tumor-derived MPCs and their proliferation were characterized with a cell viability test reagent (Cell Counting Kit 8). Subsequently, the transfected tumor-derived MPCs were cocultured with BC cells using a conditioned medium coculture method to clarify the role of tumor-derived MSCs in BC. Results: Tumor-derived MPCs expressed stem cell characteristics including CD105, CD90, and CD73 and exhibited adipogenic and osteogenic differentiation in vitro. The proliferation of tumor-derived MPCs was significantly lower than that of normal breast tissue-derived MSCs, and the invasive metastatic ability was comparable; however, MPCs were found to release inflammatory factors such as interleukin 6 (IL-6) and transforming growth factor ß (TGF-ß). Transcriptome analysis showed that stomatin (STOM), collagen and calcium binding EGF domains 1 (CCBE1), and laminin subunit alpha 5 (LAMA5) were significantly upregulated in tumor-derived MPCs. Among them, STOM was highly expressed in tumor-derived MPCs, which mediated the slow proliferation of MPCs and promoted the proliferation of BC cells. Conclusions: STOM, CCBE1, and LAMA5 were highly expressed in tumor-derived MPCs, with STOM being found to retard the proliferation of MPCs but promote the proliferation of BC cells. There findings present new possibilities in targeted microenvironmental therapy for BC.

A background parenchymal enhancement quantification framework of breast magnetic resonance imaging.

Background: Background parenchymal enhancement (BPE) is defined as the enhanced proportion of normal fibroglandular tissue on enhanced magnetic resonance imaging. BPE shows promise as a quantitative imaging biomarker (QIB). However, the lack of consensus among radiologists in their semi-quantitative grading of BPE limits its clinical utility. Methods: The main objective of this study was to develop a BPE quantification model according to clinical expertise, with the BPE integral being used as a QIB to incorporate both the volume and intensity of the enhancement metrics. The model was applied to 2,786 cases to compare our quantitative results with radiologists' semi-quantitative BPE grading to evaluate the effectiveness of using the BPE integral as a QIB for analyzing BPE. Comparisons between multiple groups of nonnormally distributed BPE integrals were performed using the Kruskal-Wallis test. Results: Our study found a considerable degree of concordance between our BPE quantitative integral and radiologists' semi-quantitative assessments. Specifically, our research results revealed significant variability in BPE integral attained through the BPE quantification framework among all semi-quantitative BPE grading groups labeled by experienced radiologists, including mild-moderate (P<0.001), mild-marked (P<0.001), and moderate-marked (P<0.001). Furthermore, there was an apparent correlation between BPE integral and BPE grades, with marked BPE displaying the highest BPE integral, followed by moderate BPE, with mild BPE exhibiting the lowest BPE integral value. Conclusions: The study developed and implemented a BPE quantification framework, which incorporated both the volume and intensity of enhancement and which could serve as a QIB for BPE.

Diagnostic accuracy of cone-beam breast computed tomography and head-to-head comparison of digital mammography, magnetic resonance imaging and cone-beam breast computed tomography for breast cancer: a systematic review and meta-analysis.

Background: Cone-beam breast computed tomography (CBBCT) is a new breast imaging technique, however, CBBCT is not yet widely used, and its future application will depend on its diagnostic potential and application value. Therefore, it is of great clinical significance to systematically review and analyze the diagnostic accuracy of CBBCT for breast cancer detection in existing studies and compare it with other traditional imaging methods for the diagnosis of breast lesions. Methods: We searched PubMed, Embase, Web of Science, and Chinese databases until August 2022 for relevant papers. Studies evaluating the diagnostic accuracy of CBBCT in women with suspected breast cancer were included. Each study's quality was evaluated using the Quality Assessment of Diagnostic Performance Studies-2 (QUADAS-2) instrument. Results: Eighteen studies with a total of 1,792 patients were included in the analysis. The overall pooled sensitivity and specificity of CBBCT in diagnosing breast cancer were 0.95 [95% confidence interval (CI): 0.91-0.97] and 0.72 (95% CI: 0.62-0.80), respectively. The area under the curve (AUC) for CBBCT was 0.92 (95% CI: 0.90-0.94). In a head-to-head comparison of CBBCT and digital mammography (DM), eight trials with 992 patients were included in the study, and the AUCs for CBBCT and DM were 0.94 (95% CI: 0.92-0.96) and 0.83 (95% CI: 0.80-0.83), respectively. In a head-to-head comparison of CBBCT and magnetic resonance imaging (MRI), four trials with 203 patients were included in the analysis; the AUC for CBBCT and MRI were 0.88 (95% CI: 0.85-0.91) and 0.96 (95% CI: 0.94-0.97), respectively. Conclusions: This meta-analysis of CBBCT test accuracy indicated encouraging diagnostic performance. In the summary of head-to-head comparative studies, there is a tendency for CBBCT to have greater diagnostic accuracy than DM, although its diagnostic performance is marginally inferior to that of MRI. However, the meta-analysis results were derived from studies with limited sample sizes. There is a need for more extensive research in this setting.

Greenhouse gas emission in the whole process of forest fire including rescue: a case of forest fire in Beibei District of Chongqing.

In the context of global high temperature, the harm of greenhouse gases (GHG) emissions caused by frequent forest fires to the environment cannot be ignored. Existing research only calculates the GHG generated by the burning of forest vegetation, ignoring the GHG generated by the fire-driven social rescue activities. Taking the forest fire in Beibei District, Chongqing City, China, as an example, this paper studies and establishes the GHG emission accounting method for the whole process of forest fire from ignition to fire extinguishing through three processes: vegetation burning, rescue transportation, and on-site fire extinguishing. It covers three GHG calculation types: biomass burning, traffic activity level comprehensive energy consumption, and machine energy consumption. Among them, the CO2 produced by the burning of coniferous forest, the support transportation of rescue teams in Yunnan province, and the motorcycle transportation at the fire extinguishing site accounted for a relatively high proportion in the corresponding processes, reaching 12,761.445 t, 118.750 t, and 1056.980 t, respectively. Finally, through data analysis, suggestions on GHG emission reduction related to forest tree regulation and optimization of rescue and fire extinguishing management are put forward, which provides a direction for future research on carbon reduction in the whole process of forest fire events.

Organising pneumonia caused by hormone (tamoxifen) therapy after radiotherapy for breast cancer: a case report and review of the literature.

Background: Five-year treatment with tamoxifen (TAM) has been the traditional standard of care for breast cancer. Organising pneumonia (OP) is a rare but significant complication of radiation therapy for breast cancer. The effect of TAM leading to OP has not yet been clearly documented. Case Description: This report describes the case of a 38-year-old female who developed progressive aggravation of round-like patchy bilateral pulmonary infiltrated with a reverse halo sign but without any clinical symptoms 5 months after TAM therapy, following breast-conserving surgery and radiotherapy (RT) for breast carcinoma. A lung biopsy was performed and revealed a histological pattern of OP. TAM therapy was discontinued, and subsequent gradual radiological improvement was observed. As there was no proof for TAM had caused the incident, TAM was re-administrated. Eight months after reinstitution of TAM, the same patchy migratory bilateral pulmonary infiltrated with reverse halo sign was found on chest CT with the patient claiming no discomforts nor any clinical symptoms. The diagnosis of TAM-related OP was made based on the exclusion of other causes and recurrence with the re-administration of TAM. The multidisciplinary team (MDT) concluded that TAM should be withdrawn and a "wait-and-see" approach was taken after a comprehensive assessment, instead of altering the medication or performing prophylactic mastectomy. Conclusions: The withdrawal and rechallenge of TAM strongly suggest that it may play a role as a cofactor in the occurrence of OP after RT for breast cancer, and RT may also be a cofactor in the occurrence of OP. It is extremely important to be alerted to the possibility of OP after concurrent or sequential hormonal therapy and RT.

A novel polypeptide CAPG-171aa encoded by circCAPG plays a critical role in triple-negative breast cancer.

BACKGROUND: The treatment of Triple-negative breast cancer (TNBC) has always been challenging due to its heterogeneity and the absence of well-defined molecular targets. The present study aims to elucidate the role of protein-coding circRNAs in the etiology and carcinogenesis of TNBC. METHODS: CircRNA expression data in TNBC (GEO: GSE113230, GSE101123) were reanalyzed and then circCAPG was selected for further study. To identify the polypeptide-coding function of circCAPG, a series of experiments, such as Mass spectrometry and dual-luciferase reporter assays were conducted. Cell proliferation, apoptosis and metastasis parameters were determined to investigate the cancerous functions CAPG-171aa plays in both TNBC organoids and nude mice. Mechanistically, the relation between CAPG-171aa and STK38 in TNBC was verified by immunoprecipitation analyses and mass spectrometry. The interactions between SLU7 and its binding site on circCAPG were validated by RIP-qPCR experiments. RESULTS: In both TNBC clinical samples and cell lines, the expression level of circCAPG was identified to be higher compared with normal ones and positively correlated with the overall survival (n = 132) in a 10-year follow-up study, in which the area under the curve of receiver operating characteristic was 0.8723 with 100% specificity and 80% sensitivity. In addition, we found that circCAPG knockdown (KD) significantly inhibited the growth of TNBC organoids. Intriguingly, circCAPG can be translated into a polypeptide named CAPG-171aa which promotes tumor growh by disrupting the binding of serine/threonine kinase 38 (STK38) to SMAD-specific E3 ubiquitin protein ligase 1 (SMURF1) and thereby preventing MEKK2 ubiquitination and proteasomal degradation. Furthermore, we found that SLU7 Homolog- Splicing Factor (SLU7) can regulate the bio-generation of circCAPG through binding to the flanking Alu sequences of circRNA transcripts. CONCLUSIONS: circCAPG significantly enhances the proliferation and metastasis of TNBC cells by encoding a novel polypeptide CAPG-171aa and afterwards activates MEKK2-MEK1/2-ERK1/2 pathway. Additionally, the formation of circCAPG is found to be mediated by SLU7. The present study provides innovative insight into the role of protein-coding circRNAs CAPG-171aa in TNBC, and its capacity to serve as a promising prognostic biomarker and potential therapeutic target in TNBC.

Neoadjuvant therapy with vs. without anthracyclines for HER2-positive breast cancer: a systematic review and meta-analysis.

Background: Neoadjuvant therapy has become the standard treatment for early human epidermal growth factor receptor 2 (HER2)-positive breast cancer, with most regimens using a combination of anti-HER2-targeted drugs and chemotherapy. However, the combination of anthracyclines and trastuzumab has high cardiac toxicity, and the efficacy evaluation of targeted therapy with or without anthracyclines is not unified. The purpose of this meta-analysis was to evaluate the relative efficacy and safety of anti-HER2-targeted therapy combined with vs. without anthracyclines neoadjuvant treatment. Methods: The following databases: PubMed, Medline, Embase, and Cochrane Library were systematically searched. Study inclusion was determined according to PICOS principles. PICOS: Patients, HER2-positive breast cancer; Intervention, anti-HER2-targeted therapy combined with anthracyclines; Control, without anthracyclines; Outcomes, the percentage of pathologic complete response (pCR), breast-conserving surgery (BCS), and grade 3 or worse adverse events according to CTCAE version 4.03; Studies, randomized controlled trials (RCTs) and retrospective studies. The meta-analysis was performed using RevMan5.3 software, and the odds ratio (OR) with 95% confidence intervals (CIs) was performed. Results: In total, 11 articles involving 1,998 patients were included with 1,155 patients in the anthracycline-containing group and 843 patients in the anthracycline-free group. For efficacy, there was no statistically significant difference in the percentage of pCR (OR 0.95; 95% CI: 0.61-1.48; P=0.83) and BCS (OR 1.18; 95% CI: 0.93-1.49; P=0.17) on anthracycline-free regimens compared with anthracycline-containing regimens. For safety, the combined effect values showed a significantly lower incidence of left ventricular ejection fraction decreases with the anthracycline-free regimen than with the anthracycline-containing regimen (OR 0.50; 95% CI: 0.35-0.71; P=0.0001). Other adverse effects and survival events were generally not statistically different in incidence between the two groups. The subgroup analysis suggested that hormone receptor status might be the source of heterogeneity in this study. Conclusions: Our study demonstrated that the targeted therapy combined with anthracyclines was associated with an increased risk of cardiac adverse events compared with the anthracycline-free group, with no significant difference in the percentage of pCR and BCS. Due to the high heterogeneity of this meta-analysis, more studies with longer follow-up are needed to validate the current findings and to further explore the removal and retention of anthracyclines.

Identification of Hub Genes and Biological Mechanisms Associated with Non-Alcoholic Fatty Liver Disease and Triple-Negative Breast Cancer.

The relationship between non-alcoholic fatty liver disease (NAFLD) and triple-negative breast cancer (TNBC) has been widely recognized, but the underlying mechanisms are still unknown. The objective of this study was to identify the hub genes associated with NAFLD and TNBC, and to explore the potential co-pathogenesis and prognostic linkage of these two diseases. We used GEO, TCGA, STRING, ssGSEA, and Rstudio to investigate the common differentially expressed genes (DEGs), conduct functional and signaling pathway enrichment analyses, and determine prognostic value between TNBC and NAFLD. GO and KEGG enrichment analyses of the common DEGs showed that they were enriched in leukocyte aggregation, migration and adhesion, apoptosis regulation, and the PPAR signaling pathway. Fourteen candidate hub genes most likely to mediate NAFLD and TNBC occurrence were identified and validation results in a new cohort showed that ITGB2, RAC2, ITGAM, and CYBA were upregulated in both diseases. A univariate Cox analysis suggested that high expression levels of ITGB2, RAC2, ITGAM, and CXCL10 were associated with a good prognosis in TNBC. Immune infiltration analysis of TNBC samples showed that NCF2, ICAM1, and CXCL10 were significantly associated with activated CD8 T cells and activated CD4 T cells. NCF2, CXCL10, and CYBB were correlated with regulatory T cells and myeloid-derived suppressor cells. This study demonstrated that the redox reactions regulated by the NADPH oxidase (NOX) subunit genes and the transport and activation of immune cells regulated by integrins may play a central role in the co-occurrence trend of NAFLD and TNBC. Additionally, ITGB2, RAC2, and ITGAM were upregulated in both diseases and were prognostic protective factors of TNBC; they may be potential therapeutic targets for treatment of TNBC patients with NAFLD, but further experimental studies are still needed.

Research progress and clinical evaluation of histotripsy: a narrative review.

Background and Objective: As a soft-tissue noninvasive ablation technology, high-intensity focused ultrasound (HIFU) has been widely used to treat many clinical diseases. However, traditional HIFU, based on thermal effects, has a high local working temperature, which may cause thermal damage to surrounding tissues and reduce the therapeutic effect. Based on the cavitation effect of HIFU, histotripsy can mechanically destroy the cells in the target lesion. This paper aims to explain the mechanism of histotripsy, summarize the research progress of animal models for clinical evaluation and clinical application, and analyze the advantages and limitations of histotripsy. Methods: Literature published from January 2006 to March 2022 was retrieved from the PubMed database. We reviewed these articles to examine histotripsy from the aspects of the mechanism, animal experiments, clinical trials, advantages, disadvantages, and optimization. Key Content and Findings: Histotripsy is a noninvasive, nonionizing, nonthermal ablation technique. The clinical application of histotripsy has made significant progress in the treatment of liver tumors, benign prostatic hyperplasia, and aortic valve calcification stenosis. Phase I clinical trials have demonstrated the safety and efficacy of histotripsy in the treatment of these diseases. More research is needed to evaluate and optimize its efficacy and safety and to fully explore its mechanism of action, pathological and immunological effects, and the short-term and long-term reactions of the body after treatment. Conclusions: Histotripsy has broad application prospects in ablation therapy and will benefit patients after more clinical trials are conducted in the future.

Predicting the recurrence-free survival of phyllodes tumor of the breast: a nomogram based on clinicopathology features, treatment, and surgical margin.

Background: Grading based on histopathologic indicators cannot accurately assess the prognosis of phyllodes tumor (PT) of the breast. This article aimed to investigate the correlation between PT prognosis and clinicopathological features, treatment, and surgical margin. Methods: The clinicopathological data of patients with pathologically confirmed PT at our institution were retrospectively collected. Univariate and multivariate Cox proportional risk models were employed to test the effects of different variables on the prognosis of PT. A nomogram to predict the 1-, 3-, 5-, and 10-year recurrence-free survival (RFS) of PT was proposed, and its discriminative ability and calibration were tested using the concordance index (C-index), area under the curve (AUC), and calibration plots. All statistical analyses were performed using R. Results: A total of 342 PT patients were included, including 242 benign (70.8%), 75 borderline (21.9%) and 25 malignant (7.3%) cases. The median follow-up period was 64.5 months (range, 3-179 months), 66 PT patients had local recurrence (LR), and four patients had distant metastasis. The 1-, 3-, 5-, and 10-year RFS of the PT patients were 90.8%, 81.8%, 78%, and 76.7%, respectively. Age, fibroadenoma (FA) surgery history, treatment, mitotic activity, and surgical margin were selected as the independent factors for PT prognosis. The nomogram showed good discriminative ability and calibration, as indicated by the C-index [0.78, 95% confidence interval (CI): 0.75-0.11]. Conclusions: Independent predictors related to PT prognosis were selected to establish a nomogram for predicting the RFS of PT. This nomogram was able to objectively stratify PT patients into prognostic groups and performed well in the internal validation.

Contralateral prophylactic mastectomy for unilateral breast cancer in Chinese female population: a retrospective cohort study.

Background: Due to differences in socioeconomic and cultural backgrounds, the characteristics and prognosis of Asian female patients choosing contralateral prophylactic mastectomy (CPM) are likely to be different from Western patients. To fill the research gap of CPM in Asian populations, this study aims to explore the application trend, survival benefits, decision-making factors, and satisfaction of CPM based on the Chinese patients undergoing CPM. Methods: The 0-III stage unilateral breast cancer (UBC) patients who received breast surgery in the Chinese PLA General Hospital from 2005 to 2017 were selected. The surgical procedures included simple mastectomy (SM), nipple-sparing mastectomy (NSM), breast conserving surgery (BCS), and CPM. Cox proportional regression analyses and Kaplan-Meier (KM) curve were performed to compare the overall survival (OS) and disease-free survival (DFS) rates between CPM group and unilateral mastectomy (UM) group. Proportional propensity score matching (PSM) with a 1:1 ratio was used to match the two groups and secondary survival analysis was performed. Logistic regression models were used to test predictive factors related to patients' CPM surgical decision-making. Results: Four thousand two hundred and seventy-six patients were included in the study, with 73 patients receiving CPM, 3,567 receiving SM, 151 receiving NSM, and 485 receiving BCS. CPM surgery was first used in 2007, with a peak application rate of 3.02% in 2016. Three thousand seven hundred and ninety-one patients were included in the survival analysis, with a median follow-up time of 66.60 months. Compared to UM patients, neither the KM survival curve nor Cox regression hazard analyses of CPM showed better OS (P=0.963; P=0.834). After PSM, CPM also did not exhibit significant survival benefits in OS (P=0.335) and DFS (P=0.409). The logistic regression analyses showed that NSM surgery and lower tumor-node-metastasis (TNM) stage were independent factors to promote the CPM decision-making of patients. The CPM group showed high overall satisfaction (84.9%) and relatively low appearance satisfaction (69.9%). Conclusions: CPM was practiced for the first time since 2007 in our hospital. CPM does not provide any OS and DFS benefits compared to UM and the appearance satisfaction procedure was relatively low. Therefore, clinicians should fully communicate with patients before surgery and be more cautious in giving CPM recommendations.

Advancement of secretory breast carcinoma: a narrative review.

Background and Objective: Secretory breast carcinoma (SBC) is a rare breast malignancy. Most available studies on SBC are case reports or small case series, and the few large-sample studies available lack critical information due to database limitations. To improve the understanding of SBC and provide a reference for clinical practice, we systematically reviewed the demographic, clinical, pathologic, and genetic characteristics of SBC, as well as its treatment and prognosis. Methods: We conducted a PubMed search with the keywords "secretory breast carcinoma" or "juvenile breast carcinoma". Relevant English-language publications published from January 1966 to February 2022 were screened manually at 3 levels-title, abstract, and full text-to identify the articles that presented the demographic, clinical, pathologic, and genetic characteristics of SBC, as well as its treatment and prognosis. Key Content and Findings: SBC lacks specific clinical manifestations and has typical pathological and molecular characteristics, including intracellular and extracellular eosinophilic secretions, immune spectrum similar to hormone receptor-positive tumors, and the ETV6-NTRK3 fusion gene. Surgery remains the primary treatment for SBC. Postoperative radiotherapy is recommended by most researchers for adult SBC but not for pediatric patients. The evidence of chemotherapy and endocrine therapy is insufficient, and targeted therapy of the ETV6-NTRK3 fusion gene shows a good response. Most patients with SBC have a good prognosis except for a few patients who experience distant metastases. Future studies will be focused on the molecular characteristics of those patients with SBC who have a poor prognosis. Conclusions: The development of histopathology and molecular genetics has promoted the progress of the clinical diagnosis of SBC. The purpose of this review is to serve as a guide for the better clinical treatment of SBC, particularly in the areas of disease identification and prognosis classification for patients.

Nucleolar protein NOC4L inhibits tumorigenesis and progression by attenuating SIRT1-mediated p53 deacetylation.

SIRT1 is an NAD+-dependent deacetylase and plays an important role in the deacetylation of both histone and non-histone proteins. Many studies revealed that SIRT1 is upregulated in a variety of tumors and tightly associated with tumorigenesis and cancer progression, but the detailed underlying mechanism of the biological processes remains unclarified. In the present study, we found a nucleolar protein NOC4L, human ortholog of yeast Noc4p, which is essential for the nuclear export of the ribosomal 40S subunit and could bind to SIRT1 to inhibit SIRT1 mediated deacetylation of p53. NOC4L interacts with SIRT1 in variety of cells under nucleolar stress and directly interacts with SIRT1 in vitro. Furthermore, we determined the C-terminal of NOC4L and the catalytic domain of SIRT1 were required for their interaction. Overexpression of NOC4L did not change the protein levels of SIRT1 or p53, but increased the acetylation of p53 and promoted cell apoptosis. Additionally, NOC4L inhibited tumor cell proliferation in a p53-dependent manner and restrained tumor growth in a nude mice xenograft model. Clinically, colorectal cancer patients with the high expression of NOC4L had a better prognosis as TP53 was normally expressed, but no significant difference was observed in survival with mutant TP53. Taken together, our results identified a novel SIRT1 regulatory protein and broaden our understanding of the molecular mechanism of how nucleolar protein NOC4L regulates p53 under nucleolar stress. This research provides an insight into tumorigenesis and cell self-protection in the early stage of DNA damage.

Breast-conserving therapy versus mastectomy for breast cancer: a ten-year follow-up single-center real-world study.

Background: The rapid development of early diagnostic methods and systematic treatment for breast cancer have shed lights on the insight of prognosis of breast-conserving therapy versus mastectomy. However, there are relatively few studies with long-term follow-up, large patient cohort and under the contemporary setting in China on the subject of survival of patients undergoing breast conserving therapy versus mastectomy. Methods: Data on the cases of breast-conserving therapy and mastectomy for breast cancer from October 1, 2005 to September 31, 2010 were retrieved from the breast cancer database of Chinese PLA General Hospital. The clinicopathological characteristics of patients were compared by chi-square test or Fisher's exact test. Breast cancer-specific survival, disease-free survival, local recurrence-free survival, loco-regional recurrence-free survival, and distant metastasis-free survival were calculated and compared by Kaplan-Meier survival analysis and log-rank test firstly. And then Cox Proportional-Hazards model was used for multivariate analysis. Results: There were 296 patients in the breast-conserving surgery group and 675 patients in the mastectomy group. For patients with invasive breast cancer in the entire cohort, the 10-year breast cancer-specific survival rate of patients in the breast-conserving surgery group at stage I-II was significantly higher than that of the mastectomy group. However, surgical method was not an independent prognostic factor for breast cancer-specific survival, disease-free survival and local recurrence-free survival. Moreover, N stage and luminal B-like subtype were independent prognostic factors for the breast cancer-specific survival of invasive breast cancer in the entire cohort. Conclusions: This study suggests that there is no significant difference in breast cancer-specific survival between breast cancer patients undergoing breast-conserving surgery and mastectomy after adjusting for confounding factors. Lymph node staging is the major risk factor affecting patients' survival. In this case, choosing patients with smaller tumor size, avoiding patients with stage N3, and removing a smaller volume of breast tissue including tumors while ensuring negative margins may reduce the patient's risk of local recurrence and loco-regional recurrence.

Clinicopathological features and prognosis of bilateral breast cancer: a single-center cohort study based on Chinese data.

Background: The incidence of bilateral breast cancer (BBC) is low, accounting for 5% of patients with breast cancer. This study aimed to investigate the clinicopathological features and prognosis of synchronous bilateral breast cancer (SBBC) and metachronous bilateral breast cancer (MBBC) in the Chinese population. Methods: Patients with BBC, including SBBC and MBBC, were selected from 6,162 breast cancer patients who underwent surgery at the Chinese People's Liberation Army (PLA) General Hospital between January 2007 and December 2019. Furthermore, patients with unilateral breast cancer (UBC) who underwent surgery at the same time were randomly selected at a ratio of 1:2 as the control group. Clinicopathological features and prognosis were compared between the groups. Results: In all, 123 (2.0%) patients with BBC were enrolled in this study, including 98 (1.6%) SBBC and 25 (0.4%) MBBC patients. A total of 280 patients with UBC were selected for the control group. Compared with patients with UBC, patients with SBBC were more likely to be older and have a family history of breast cancer, non-infiltrative carcinoma, lower pathological tumor-node-metastasis (pTNM) stage, and luminal A type breast cancer as their first tumor. Patients with MBBC were more likely to be postmenopausal and have hormone receptor [estrogen receptor (ER)/progesterone receptor (PR)] negativity, a higher pTNM stage, and a triple-negative first tumor. Patients with UBC with ER/PR (-) were more likely to develop contralateral breast cancer (CBC) than those with ER/PR (+). There was no significant difference in overall survival (OS) and disease-free survival (DFS) between patients with SBBC and patients with UBC. Patients with MBBC had worse DFS than those with UBC, but OS was similar for both types of patients. Patients with MBBC <55 years at first diagnosis had significantly shorter DFS compared to those with SBBC and UBC. A multivariate Cox proportional hazards model revealed that age ≥55 years and ER/PR negativity of the first tumor were independent risk factors for OS. Independent risk factors for DFS included MBBC, age <55 years, family history of other malignant tumors, ER/PR (-), lymphovascular invasion, and N stage ≥2 of the first tumor. Conclusions: The OS and DFS of patients with SBBC and UBC were similar. The MBBC patients, especially those <55 years old at first diagnosis, had shorter DFS than patients with UBC.

Development and validation of a deep learning model for breast lesion segmentation and characterization in multiparametric MRI.

Importance: The utilization of artificial intelligence for the differentiation of benign and malignant breast lesions in multiparametric MRI (mpMRI) assists radiologists to improve diagnostic performance. Objectives: To develop an automated deep learning model for breast lesion segmentation and characterization and to evaluate the characterization performance of AI models and radiologists. Materials and methods: For lesion segmentation, 2,823 patients were used for the training, validation, and testing of the VNet-based segmentation models, and the average Dice similarity coefficient (DSC) between the manual segmentation by radiologists and the mask generated by VNet was calculated. For lesion characterization, 3,303 female patients with 3,607 pathologically confirmed lesions (2,213 malignant and 1,394 benign lesions) were used for the three ResNet-based characterization models (two single-input and one multi-input models). Histopathology was used as the diagnostic criterion standard to assess the characterization performance of the AI models and the BI-RADS categorized by the radiologists, in terms of sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve (AUC). An additional 123 patients with 136 lesions (81 malignant and 55 benign lesions) from another institution were available for external testing. Results: Of the 5,811 patients included in the study, the mean age was 46.14 (range 11-89) years. In the segmentation task, a DSC of 0.860 was obtained between the VNet-generated mask and manual segmentation by radiologists. In the characterization task, the AUCs of the multi-input and the other two single-input models were 0.927, 0.821, and 0.795, respectively. Compared to the single-input DWI or DCE model, the multi-input DCE and DWI model obtained a significant increase in sensitivity, specificity, and accuracy (0.831 vs. 0.772/0.776, 0.874 vs. 0.630/0.709, 0.846 vs. 0.721/0.752). Furthermore, the specificity of the multi-input model was higher than that of the radiologists, whether using BI-RADS category 3 or 4 as a cutoff point (0.874 vs. 0.404/0.841), and the accuracy was intermediate between the two assessment methods (0.846 vs. 0.773/0.882). For the external testing, the performance of the three models remained robust with AUCs of 0.812, 0.831, and 0.885, respectively. Conclusions: Combining DCE with DWI was superior to applying a single sequence for breast lesion characterization. The deep learning computer-aided diagnosis (CADx) model we developed significantly improved specificity and achieved comparable accuracy to the radiologists with promise for clinical application to provide preliminary diagnoses.

A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.

Background: The breast imaging reporting and data system (BI-RADS) lexicon provides a standardized terminology for describing leision characteristics but does not provide defined rules for converting specific imaging features into diagnostic categories. The inter-reader agreement of the BI-RADS is moderate. In this study, we explored the use of a simplified protocol and scoring system for BI-RADS categorization which integrates the morphologic features (MF), kinetic time-intensity curve (TIC), and apparent diffusion coefficient (ADC) values with equal weights, with a view to providing a convenient and practical method for breast magnetic resonance imaging (MRI) and improving the inter-reader agreement and diagnostic performance of BI-RADS. Methods: This cross-sectional, retrospective, single-center study included 879 patients with 898 histopathologically verified lesions who underwent an MRI scan on a 3.0 Tesla GE Discovery 750 MRI scanner between January 1, 2017, and June 30, 2020. The BI-RADS categorization of the studied lesions was assessed according to the sum of the assigned scores (the presence of malignant MF, lower ADC, and suspicious TIC each warranted a score of +1). Total scores of +2 and +3 were classified as category 5, scores of +1 were classified as category 4, and scores of +0 but with other lesions of interest were classified as category 3. The receiver operating characteristic (ROC) curves were plotted, and the sensitivity, specificity, and accuracy of this categorization were investigated to assess its efficacy and its consistency with pathology. Results: There were 472 malignant, 104 risk, and 322 benign lesions. Our simplified scoring protocol had high diagnostic accuracy, with an area under curve (AUC) value of 0.896. In terms of the borderline effect of pathological risk and category 4 lesions, our results showed that when risk lesions were classified together with malignant ones, the AUC value improved (0.876 vs. 0.844 and 0.909 vs. 0.900). When category 4 and 5 lesions were classified as malignant, the specificity, accuracy, and AUC value decreased (82.3% vs. 93.2%, 89.3% vs. 90.2%, and 0.876 vs. 0.909, respectively). Therefore, to improve the diagnostic accuracy of the protocol for BI-RADS categorization, only category 5 lesions should be considered to be malignant. Conclusions: Our simplified scoring protocol that integrates MF, TIC, and ADC values with equal weights for BI-RADS categorization could improve both the diagnostic performance of the protocol for BI-RADS categorization in clinical practice and the understanding of the benign-risk-malignant breast diseases.

Surgical management and prognosis of phyllodes tumors of the breast.

Background: Regardless of histological grade, phyllodes tumors (PTs) exhibit the potential of local recurrence. The National Comprehensive Cancer Network (NCCN) recommends wide local excision (WLE) with a 1 cm margin or more for borderline/malignant PTs but excisional biopsy for benign PTs. However, the treatment of benign PTs remains controversial and the clinicopathologic risk factors for the local recurrence is still unclear. Methods: We retrospectively analyzed 238 patients with PTs who underwent surgery at the Chinese PLA General Hospital from January 1, 2006 and April 30, 2020. We stratified our analysis according to histologic grade and explored the clinicopathologic factors to influence local recurrence (LR), including age, histologic grade, history of fibroadenoma, type of surgery [vacuum-assisted biopsy system (VABS), local excision (LE), wide local excision (WLE) and mastectomy]. Results: All 238 cases were categorized as benign (171, 71.8%), borderline (38, 16.0%), or malignant (29, 12.2%). The median follow-up was 50.2 months. In multivariate analysis, histologic grade (P<0.01) and history of fibroadenoma (P<0.01) were independent prognostic factors for LR. No difference existed in the recurrence rate of BPT treated with different surgical procedures (P=0.397), whereas a higher recurrence rate was found in VABS and LE subgroups than in WLE and mastectomy subgroups for borderline/malignant tumors (P<0.01). Conclusions: No association found between surgical modalities and LR rate for BPT. We suggested a "wait-and-watch" policy for patients with unexpected benign subtypes, instead of unnecessary re-excision. In addition, VABS or LE can be treated for BPT with small mass, whereas WLE or even mastectomy should be conducted for borderline/malignant PTs with large mass.

External verification and improvement of the Neo-Bioscore staging system in a Chinese cohort.

Background: Accurately predicting outcomes for patients with breast cancer receiving neoadjuvant chemotherapy (NAC) is critical for clinical decisions. Prognostic models applicable to the Chinese population remain limited. The Neo-Bioscore staging system has been utilized as a predictive model for survival of breast cancer patients after NAC. This study aimed to validate the applicability of Neo-Bioscore in a Chinese population and develop an improved staging system based on it to predict prognosis of Chinese patients more accurately. Methods: This study retrospectively collected clinicopathological and survival data in patients receiving NAC from February 2005 to August 2018 in PLA General Hospital. Discrimination, calibration and clinical usefulness were used to assess model performance. Univariate and multivariate analyses assessed relationships between clinicopathological factors and disease-specific survival. For model modification, postoperative pathological staging in the Neo-Bioscore was substituted with the posttreatment pathological tumor (ypT) stage and posttreatment pathological lymph node (ypN) stage. Neo-Bioscore and Modified Neo-Bioscore were compared with the American Joint Committee on Cancer (AJCC) staging system. Results: A total of 436 patients with a median follow-up of 67 months were included. Five-year disease-specific survival (DSS), overall survival, and disease-free survival rates were 88.0%, 87.9%, and 76.8%, respectively. The concordance index (C-index) of the Neo-Bioscore staging system, posttreatment pathological stage (PS), and pretreatment clinical stage (CS) for DSS were 0.78 [95% confidence interval (CI): 0.72-0.83], 0.75 (95% CI: 0.69-0.82), and 0.68 (95% CI: 0.62-0.74), respectively. No significant difference between the Neo-Bioscore and PS was observed in the C-index (P=0.399). ypT and ypN were included in Neo-Bioscore to replace PS and create a modified staging system named MNeo-Bioscore. The C-index for DSS of the MNeo-Bioscore was 0.82 (95% CI: 0.78-0.87), and the calibration curve and decision curve analysis (DCA) curve performed well in internal validation. Conclusions: The Neo-Bioscore staging system provided precise prognostic stratification for Chinese breast cancer patients receiving NAC; ypN and ypT stage may be substituted for PS to add significant prognostic value for Neo-Bioscore.

Progress on deep learning in digital pathology of breast cancer: a narrative review.

Background and Objective: Pathology is the gold standard criteria for breast cancer diagnosis and has important guiding value in formulating the clinical treatment plan and predicting the prognosis. However, traditional microscopic examinations of tissue sections are time consuming and labor intensive, with unavoidable subjective variations. Deep learning (DL) can evaluate and extract the most important information from images with less need for human instruction, providing a promising approach to assist in the pathological diagnosis of breast cancer. To provide an informative and up-to-date summary on the topic of DL-based diagnostic systems for breast cancer pathology image analysis and discuss the advantages and challenges to the routine clinical application of digital pathology. Methods: A PubMed search with keywords ("breast neoplasm" or "breast cancer") and ("pathology" or "histopathology") and ("artificial intelligence" or "deep learning") was conducted. Relevant publications in English published from January 2000 to October 2021 were screened manually for their title, abstract, and even full text to determine their true relevance. References from the searched articles and other supplementary articles were also studied. Key Content and Findings: DL-based computerized image analysis has obtained impressive achievements in breast cancer pathology diagnosis, classification, grading, staging, and prognostic prediction, providing powerful methods for faster, more reproducible, and more precise diagnoses. However, all artificial intelligence (AI)-assisted pathology diagnostic models are still in the experimental stage. Improving their economic efficiency and clinical adaptability are still required to be developed as the focus of further researches. Conclusions: Having searched PubMed and other databases and summarized the application of DL-based AI models in breast cancer pathology, we conclude that DL is undoubtedly a promising tool for assisting pathologists in routines, but further studies are needed to realize the digitization and automation of clinical pathology.