Breast Cancer Cases Research Articles

The 7thSymposium on primary breast cancer in older women. Theme: involving the caregivers (Held: 1 March 2024).

The 7th Symposium on Primary Breast Cancer in Older Women, hosted by the University of Nottingham in association with the International Society of Geriatric Oncology (SIOG), was held in the Jubilee Conference Centre in Nottingham on 1March 2024. With the theme of 'involving the caregivers', topics included: barriers to clinical trial participation among older women, the use of geriatric assessment tools to tailor treatments to individual patient's level of frailty and interventions such as medication review and de-prescription to reduce toxicity and increase compliance with treatment.The symposium began with an upbeat introduction from the symposium chair, Kwok-Leung Cheung (Professor of Breast Surgery and Medical Education, University of Nottingham, Consultant Breast Surgeon, Royal Derby Hospital; UK National Representative, SIOG). Cheung welcomed attendees and contributors from a wide range of disciplines including surgeons, geriatricians, clinical nurse specialists, pharmacistsand patient representatives.Cheung outlined how this biennial symposium, the only one of its kind to focus on primary breast cancer in older women, had grown in both size and ambition since its inception in 2010. For the first time, this year's proceedings included a dedicated multidisciplinary team discussion of geriatric breast cancer cases submitted by delegates.The main theme of the day's proceedings "involving the caregivers" was also emphasized in the introductory comments.

Significance of Multi-Cancer Genome Profiling Testing for Breast Cancer: A Retrospective Analysis of 3326 Cases from Japan's National Database.

Background: Breast cancer (BC) has the highest morbidity rate and the second-highest mortality rate of all cancers among women. Recently, multi-cancer genome profiling (multi-CGP) tests have become clinically available. In this study, we aimed to clarify the significance of multi-CGP testing of BC by using the large clinical dataset from The Center for Cancer Genomics and Advanced Therapeutics (C-CAT) profiling database in Japan. Materials and Methods: A total of 3744 BC cases were extracted from the C-CAT database, which enrolled 60,250 patients between June 2019 and October 2023. Of the 3744 BC cases, a total of 3326 cases for which the C-CAT included information on ER, PR, and HER2 status were classified into four subtypes, including TNBC, HR+/HER2-, HR+/HER2+, and HR-/HER2+. Comparisons between groups were performed by the χ2 test or Fisher's exact test using EZR. Kaplan-Meier curves were created using the log-rank test. Results: Of all 3326 cases analyzed, 1114 (33.5%) were TNBC cases, HR+/HER2- accounted for 1787 cases (53.7%), HR+/HER2+ for 260 cases (7.8%), and HR-/HER2+ for 165 cases (5.0%). Genetic abnormalities were most frequently detected in TP53 (58.0%), PIK3CA (35.5%), MYC (18.7%), FGF19 (15.5%), and GATA3 (15.1%) across all BCs. The rate of TMB-High was 12.3%, and the rate of MSI-High was 0.3%, in all BC cases. Therapeutic drugs were proposed for patients with mutations in six genes: PIK3CA, ERBB2, PTEN, FGFR1, ESR1, and AKT1. The prognoses of HR+/HER2- cases were significantly (p = 0.044) better in the treated group than in the untreated group. Conclusions: These findings suggest that cancer gene panel testing is useful for HR+/HER2- cases.

Breast cancer in women by HIV status: A report from the South African National Cancer Registry.

Breast cancer (BC) is the leading cause of cancer-related morbidity and mortality in women living in South Africa, a country with a high HIV burden. However, characteristics of the double burden of HIV and BC in South Africa have not been properly investigated. We described characteristics of BC cases by HIV status in South Africa. In this nationwide South African study, we obtained BC records for women aged ≥15 years diagnosed in the public health sector between January 2004 and December 2014. We included records from the National Cancer Registry that had been linked to HIV-related laboratory records from the National Health Laboratory Service. We assessed the odds of being HIV positive versus HIV negative in relation to patient-, cancer-, and municipality-related characteristics. From 2004-2014, 40 520 BC cases were diagnosed in women aged ≥15 years. Of these, 73.5% had unknown HIV status, 18.7% were HIV negative, and 7.7% were HIV positive. The median age at BC diagnosis was 43 years (interquartile range [IQR]: 37-52) in HIV positive and 57 years (IQR: 46-68) in HIV negative women, respectively. The odds of being HIV positive was higher for women who were aged 30-34 years compared to women aged 35-39 years at cancer diagnosis (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.10-1.71), Black versus non-Black (OR 6.41, 95% CI 5.68-7.23), diagnosed with cancer in rural versus urban areas (OR 1.59, 95% CI 1.40-1.82) and diagnosed in municipalities with low and middle (OR 3.46, 95% CI 2.48-4.82) versus high socioeconomic position (OR 2.69, 95% CI 2.11-3.42). HIV status was unknown for the majority of BC patients. Among those with known HIV status, being HIV positive was associated with a younger age at cancer diagnosis, being Black and receiving care in municipalities of poor socioeconomic position. Future studies should examine opportunities to integrate HIV and BC control programs.

Plant-derived extracellular nanovesicles: a promising biomedical approach for effective targeting of triple negative breast cancer cells.

Introduction: Triple negative breast cancer (TNBC), a highly aggressive subtype accounting for 15-20% of all breast cancer cases, faces limited treatment options often accompanied by severe side effects. In recent years, natural extracellular nanovesicles derived from plants have emerged as promising candidates for cancer therapy, given their safety profile marked by non-immunogenicity and absence of inflammatory responses. Nevertheless, the potential anti-cancer effects of Citrus limon L.-derived extracellular nanovesicles (CLENs) for breast cancer treatment is still unexplored. Methods: In this study, we investigated the anti-cancer effects of CLENs on two TNBC cell lines (4T1 and HCC-1806 cells) under growth conditions in 2D and 3D culture environments. The cellular uptake efficiency of CLENs and their internalization mechanism were evaluated in both cells using confocal microscopy. Thereafter, we assessed the effect of different concentrations of CLENs on cell viability over time using a dual approach of Calcein-AM PI live-dead assay and CellTiter-Glo bioluminescence assay. We also examined the influence of CLENs on the migratory and evasion abilities of TNBC cells through wound healing and 3D Matrigel drop evasion assays. Furthermore, Western blot analysis was employed to investigate the effects of CLENs on the phosphorylation levels of phosphoinositide 3-kinase (PI3K), protein kinase B (AKT), and extracellular signal- regulated kinase (ERK) expression. Results: We found that CLENs were internalized by the cells via endocytosis, leading to decreased cell viability, in a dose- and time-dependent manner. Additionally, the migration and evasion abilities of TNBC cells were significantly inhibited under exposed to 40 and 80μg/mL CLENs. Furthermore, down-regulated expression levels of phosphorylated phosphoinositide 3-kinase (PI3K), protein kinase B (AKT), and extracellular signal-regulated kinase (ERK), suggesting that the inhibition of cancer cell proliferation, migration, and evasion is driven by the inhibition of the PI3K/AKT and MAPK/ERK signaling pathways. Discussion: Overall, our results demonstrate the anti-tumor efficiency of CLENs against TNBC cells, highlighting their potential as promising natural anti-cancer agents for clinical applications in cancer treatment.

The Comparison of Surface Dose in Vivo Dosimetry Using 3D-CRT and IMRT Technique on Breast Cancer Case

The aim of this study is to verify the adequacy of the surface radiation dose calculated by the Treatment Planning System (TPS) using 3DCRT and IMRT technique with the dose measured by the TLD-100, referring to the report of the American Association of Physicists in Medicine Task Group No.219 (AAPM-TG No.219). This research process began with annealing the TLD-100 at the Research Center for Safety Technology Metrology and Nuclear Quality of the National Innovation Research Agency (PRTKMMR-BRIN), followed by scanning the TLD-100 on the surface of the phantom plate using a CT simulator. In addition, the TLD-100 was calibrated with different radiation doses (0; 20; 50; 80; 100; 150; 200; 250; 370) cGy. Verification of the surface radiation dose was performed by calculating the TPS surface dose by Patient Specific Quality Assurance (PSQA) and comparing it with the dose measured by the TLD-100. The result is Radiation techniques such as IMRT are more conformal than 3D-CRT because they precisely control dose intensity, making the TLD dose in IMRT closer to TPS. Differences in detector types such as TLD also affect the results of radiation dose measurements. Continuous assessment of patient dose is important for the safety of radiation therapy.

HER2/PI3K/AKT pathway in HER2-positive breast cancer: A review.

Breast cancer is currently the most commonly occurring cancer globally. Among breast cancer cases, the human epidermal growth factor receptor 2 (HER2)-positive breast cancer accounts for 15% to 20% and is a crucial focus in the treatment of breast cancer. Common HER2-targeted drugs approved for treating early and/or advanced breast cancer include trastuzumab and pertuzumab, which effectively improve patient prognosis. However, despite treatment, most patients with terminal HER2-positive breast cancer ultimately suffer death from the disease due to primary or acquired drug resistance. The prevalence of aberrantly activated the protein kinase B (AKT) signaling in HER2-positive breast cancer was already observed in previous studies. It is well known that p-AKT expression is linked to an unfavorable prognosis, and the phosphatidylinositol-3-kinase (PI3K)/AKT pathway, as the most common mutated pathway in breast cancer, plays a major role in the mechanism of drug resistance. Therefore, in the current review, we summarize the molecular alterations present in HER2-positive breast cancer, elucidate the relationships between HER2 overexpression and alterations in the PI3K/AKT signaling pathway and the pathways of the alterations in breast cancer, and summarize the resistant mechanism of drugs targeting the HER2-AKT pathway, which will provide an adjunctive therapeutic rationale for subsequent resistance to directed therapy in the future.

Medicaid expansion in California and breast cancer incidence across neighborhoods with varying social vulnerabilities.

To investigate changes in breast cancer incidence rates associated with Medicaid expansion in California. We extracted yearly census tract-level population counts and cases of breast cancer diagnosed among women aged between 20 and 64years in California during years 2010-2017. Census tracts were classified into low, medium and high groups according to their social vulnerability index (SVI). Using a difference-in-difference (DID) approach with Poisson regression models, we estimated the incidence rate, incidence rate ratio (IRR) during the pre- (2010-2013) and post-expansion periods (2014-2017), and the relative IRR (DID estimates) across three groups of neighborhoods. Prior to the Medicaid expansion, the overall incidence rate was 93.61, 122.03, and 151.12 cases per 100,000 persons among tracts with high, medium, and low-SVI, respectively; and was 96.49, 122.07, and 151.66 cases per 100,000 persons during the post-expansion period, respectively. The IRR between high and low vulnerability neighborhoods was 0.62 and 0.64 in the pre- and post-expansion period, respectively, and the relative IRR was 1.03 (95% CI 1.00 to 1.06, p = 0.026). In addition, significant DID estimate was only found for localized breast cancer (relative IRR = 1.05; 95% CI, 1.01 to 1.09, p = 0.049) between high and low-SVI neighborhoods, not for regional and distant cancer stage. The Medicaid expansion had differential impact on breast cancer incidence across neighborhoods in California, with the most pronounced increase found for localized cancer stage in high-SVI neighborhoods. Significant pre-post change was only found for localized breast cancer between high and low-SVI neighborhoods.

Evaluation of Prostate-Specific Membrane Antigen (PSMA) Immunohistochemical Expression in Early-Stage Breast Cancer Subtypes.

Breast cancer, known for its diverse subtypes, ranks as one of the leading causes of cancer-related deaths. Prostate-specific membrane antigen (PSMA), primarily associated with prostate cancer, has also been identified in breast cancer, though its role remains unclear. This study aimed to evaluate PSMA expression across different subtypes of early-stage breast cancer and investigate its correlation with clinicopathological factors. This retrospective study included 98 breast cancer cases. PSMA expression was examined in both tumor cells and tumor-associated blood vessels. The analysis revealed PSMA expression in tumor-associated blood vessels in 88 cases and in tumor cells in 75 cases. Ki67 expression correlated positively with PSMA expression in blood vessels (p < 0.0001, RSpearman 0.42) and tumor cells (p = 0.010, RSpearman 0.26). The estrogen and progesterone receptor expression correlated negatively with PSMA levels in blood vessels (p = 0.0053, R Spearman -0.26 and p = 0.00026, R Spearman -0.347, respectively). Human epidermal growth factor receptor 2 (HER2) status did not significantly impact PSMA expression. We did not detect any statistically significant differences between breast cancer subtypes. These findings provide evidence for a heterogenous PSMA expression in breast cancer tissue and suggest its correlation with tumor aggressiveness. Despite the limited sample size, the study provides valuable insights into the potential of PSMA as a prognostic, diagnostic, and therapeutic target in the management of breast cancer.

Impact of breast cancer on in-hospital mortality and health care utilization in female heart failure patients: a retrospective cohort study

Background Heart failure (HF) and breast cancer are major health concerns with overlapping risk factors. This study investigated the impact of breast cancer on in-hospital mortality, length of stay, and health care charges in patients with HF. Methods A retrospective cohort study was conducted using data from the National Inpatient Sample, focusing on female patients diagnosed with both breast cancer and HF. A control group of patients with HF without breast cancer was also analyzed. Main outcomes included in-hospital mortality, length of stay, and health care charges. Statistical analysis involved logistic and linear regression models. Results The study included 17,551 unweighted cases of breast cancer, corresponding to 87,755 weighted cases. Breast cancer, particularly metastatic, was associated with increased in-hospital mortality across various types of HF. Patients with breast cancer and HF had longer hospital stays, which was more pronounced in metastatic cases. However, the impact on hospital charges was not consistent across the different HF types. Racial disparities were evident, with Native Americans showing the highest mortality risk in acute HF. Conclusion Breast cancer significantly increases the in-hospital mortality risk and length of hospital stay in patients with HF. These findings highlight the need for integrated cardiovascular and oncological care, especially in the presence of metastatic breast cancer. The study underscores the importance of tailored management strategies for patients with HF with concurrent breast cancer and points toward the necessity for addressing racial disparities in health care.

A Prospective Questionnaire-Based Study Evaluating Genetic Literacy and Impact of Brief Educational Intervention Among Breast Cancer Patients in a Low- to Middle-Income Country.

A significant proportion of breast cancer cases are hereditary and are potentially preventable. However, adoption of the preventive measures remains a significant challenge, particularly because of to lack of knowledge and awareness in low- to middle-income countries. This prospective study conducted at a high-volume tertiary care cancer center in North India to assess the knowledge, awareness, and attitudes of female breast cancer patients and impact of a brief educational intervention. The study involved three phases: pre-interventional assessment, educational intervention, and post-interventional assessment utilizing a structured questionnaire. The study involved 300 newly diagnosed breast cancer patients; 16.7% were familial. At the outset, 87.0% patients had low knowledge of risk factors, 90.3% about screening, and 32.7% about treatment. Awareness levels were low: 13.7% aware of familial risk and 2.7% of breast cancer genes. Affordability of genetic testing was low (15.2%), and interest in testing for self and family members was limited (32.0% and 26.3%). Following educational intervention, a significant positive percentage change was noticed in knowledge (risk factors: 12.8%, screening: 36.2%, treatment: 82%), awareness (familial risk: 66.7%, BRCA gene: 12.3%), and attitude (testing for self: 17.8%, family: 19.5%). This study highlights the significant knowledge gaps among breast cancer patients regarding genetics. The educational intervention led to notable improvements in knowledge, awareness, and attitudes, underscoring the importance of tailored patient education in breast cancer care.

Evaluation of Ki-67 index in breast cancer cases with intratumor heterogeneity

There are no specific recommendations for evaluating the Ki-67 index in heterogeneous breast carcinomas. This study aimed to evaluate the applicability of currently accepted recommendations for Ki-67 evaluation in breast cancer in the context of intratumor heterogeneity. Twelve cases of heterogeneous breast carcinomas obtained from 110 patients were retrospectively studied. Ki-67 staining was performed according to protocols provided by the reagent manufacturer. Results for Ki-67 of the separate components in each tumor were obtained, described, and analyzed statistically using a paired t-test. Values of p &lt; 0.05 were considered as statistically significant. SPSS software was used for statistical analysis. Results from the comparison of the Ki-67 index evaluation in each heterogeneous component of the studied tumors demonstrated no statistically significant difference of mean values t = 0.4802, p = 0.6405. The anticipation of an average Ki-67 score in the evaluated cases would have changed the molecular subtype from Luminal B to Luminal A (due to the Ki-67 index below 14%) in two of the cases. Heterogeneous tumors had a different Ki-67 index in their separate components. Our observations suggest that Ki-67 in heterogeneous breast carcinoma is evaluated and reported separately for the distinguishable tumor components.

MiR-181c-5p/DERL1 pathway controls breast cancer progression mediated by TRAF6-linked K63 ubiquitination of AKT

BackgroundAberrant Derlin-1 (DERL1) expression is associated with an overactivation of p-AKT, whose involvement in breast cancer (BRCA) development has been widely speculated. However, the precise mechanism that links DERL1 expression and AKT activation is less well-studied.MethodsBioinformatic analyses hold a promising approach by which to detect genes’ expression levels and their association with disease prognoses in patients. In the present work, a dual-luciferase assay was employed to investigate the relationship between DERL1 expression and the candidate miRNA by both in vitro and in vivo methods. Further in-depth studies involving immunoprecipitation-mass spectrum (IP-MS), co-immunoprecipitation (Co-IP), as well as Zdock prediction were performed.ResultsOverexpression of DERL1 was detected in all phenotypes of BRCA, and its knockdown showed an inhibitory effect on BRCA cells both in vitro and in vivo. The Cancer Genome Atlas (TCGA) database reported that DERL1 overexpression was correlated with poor overall survival in BRCA cases, and so the quantification of DERL1 expression could be a potential marker for the clinical diagnosis of BRCA. On the other hand, miR-181c-5p was downregulated in BRCA, suggesting that its overexpression could be a potent therapeutic route to improve the overall survival of BRCA cases. Prior bioinformatic analyses indicated a somewhat positive correlation between DERL1 and TRAF6 as well as between TRAF6 and AKT, but not between miR-181c-5p and DERL1. In retrospect, DERL1 overexpression promoted p-AKT activation through K63 ubiquitination. DERL1 was believed to directly interact with the E3 ligase TRAF6. As Tyr77Ala or Tyr77Ala/Gln81Ala/Arg85Ala/Val158Ala attempts to prevent the interaction between DERL1 and TRAF domain of TRAF6, resulted in a significant reduction in K63-ubiquitinated p-AKT production. However, mutations in Gln81Ala, Arg85Ala, or Val158Ala could possibly interrupt with these processes.ConclusionsOur data confirm that mediation of the miR-181c-5p/DERL1 pathway by TRAF6-linked AKT K63 ubiquitination holds one of the clues to set our focus on toward meeting the therapeutic goals of BRCA.

Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method.

This study aims to assess the diagnostic value of ultrasound habitat sub-region radiomics feature parameters using a fully connected neural networks (FCNN) combination method L2,1-norm in relation to breast cancer Ki-67 status. Ultrasound images from 528 cases of female breast cancer at the Affiliated Hospital of Xiangnan University and 232 cases of female breast cancer at the Affiliated Rehabilitation Hospital of Xiangnan University were selected for this study. We utilized deep learning methods to automatically outline the gross tumor volume and perform habitat clustering. Subsequently, habitat sub-regions were extracted to identify radiomics features and underwent feature engineering using the L1,2-norm. A prediction model for the Ki-67 status of breast cancer patients was then developed using a FCNN. The model's performance was evaluated using accuracy, area under the curve (AUC), specificity (Spe), positive predictive value (PPV), negative predictive value (NPV), Recall, and F1. In addition, calibration curves and clinical decision curves were plotted for the test set to visually assess the predictive accuracy and clinical benefit of the models. Based on the feature engineering using the L1,2-norm, a total of 9 core features were identified. The predictive model, constructed by the FCNN model based on these 9 features, achieved the following scores: ACC 0.856, AUC 0.915, Spe 0.843, PPV 0.920, NPV 0.747, Recall 0.974, and F1 0.890. Furthermore, calibration curves and clinical decision curves of the validation set demonstrated a high level of confidence in the model's performance and its clinical benefit. Habitat clustering of ultrasound images of breast cancer is effectively supported by the combined implementation of the L1,2-norm and FCNN algorithms, allowing for the accurate classification of the Ki-67 status in breast cancer patients.

HEBP2 affects sensitivity to cisplatin and BCNU but not to paclitaxel in MDA-MB-231 breast cancer cells.

Breast cancer has the highest incidence of all cancer types in women. Triple-negative breast cancer (TNBC) accounts for 15% of all breast cancer cases and is the most aggressive type, with a poor prognosis and limited treatment. Treatment failure in patients is largely due to resistance to chemotherapy. In this study, we aimed to identify the novel factors contributing to chemoresistance in TNBC using cisplatin and 1,3-bis(2-chloroethyl)-1-nitrosourea (BCNU). We found that transactivation of the heme-binding protein 2 (HEBP2) gene was common in surviving colonies of cells after exposure to two types of chemotherapeutic agents, namely cisplatin and BCNU, from genome-scale transcriptional activation library screening in the TNBC cell line MDA-MB-231. Analysis of a public database (Proteogenomic Landscape of Breast Cancer, CPTAC) indicated that HEBP2 mRNA expression was elevated in TNBC tissues compared to that in non-TNBC tissues. HEBP2 facilitates necrotic cell death under oxidative stress; however, it is not yet known whether HEBP2 affects cancer cell survival following chemotherapy. Therefore, we investigated the effects of HEBP2 expression on the sensitivity to cisplatin and BCNU in MDA-MB-231 cells. Overexpression of HEBP2 significantly enhanced the viability of MDA-MB-231 cells in response to cisplatin and BCNU, but not methyl methanesulfonate (MMS) and paclitaxel. In contrast, CRISPR/Cas9-mediated HEBP2-knockout greatly reduced cell viability in response to cisplatin and BCNU, but not to MMS and paclitaxel, in MDA-MB-231 cells. Moreover, the exogenous introduction of HEBP2 restored the resistance of HEBP2-deficient cells to cisplatin and BCNU to wild-type levels. These findings suggest that HEBP2 may play a significant role in resistance to cisplatin and BCNU, which induce intrastrand and interstrand DNA crosslinks, but not to monoalkylating or microtubule-stabilizing agents in TNBC cells. The possibility exists that HEBP2 serves as a biomarker for predicting response or a therapeutic target for overcoming resistance to platinum-based and alkylating anticancer agents in TNBC.

Assessing breast cancer volume alterations post-neoadjuvant chemotherapy through DenseNet-201 deep learning analysis on DCE-MRI

BackgroundChanges in tumor volume following neoadjuvant chemotherapy (NAC) are a crucial reference for determining surgical approaches in breast cancer, especially important for patients desiring breast conservation. MethodsBetween September 2015 and July 2022, 118 breast cancer cases from 109 patients were retrospectively gathered and randomly split into two cohorts: a training cohort of 83 cases and a test cohort of 35 cases. Deep learning models with DenseNet-201 architecture were constructed based on the peak enhanced phase of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Deep learning models were created to identify breast cancers that would experience tumor/node (T/N) stage downstaging or more than 90% reduction in MRI volume post-NAC. Their performance was compared with clinical models using receiver operator characteristic (ROC) curves for evaluation. The DeLong's test was used to determine significant differences in AUC among different models. ResultsIn the evaluation on a test cohort, a deep learning model showcased significantly better accuracy in predicting the downstaging of T/N stages in breast cancer with an AUC of 0.85. This performance markedly exceeded that of the traditional clinical model, which achieved an AUC of only 0.44. The deep learning model also excelled in predicting cases of breast cancer with more than 90% reduction in MRI volume, achieving an AUC of 0.89. This was superior to the clinical model's performance, which had an AUC of 0.61. The DeLong's test results showed that the predictive performance of the deep learning models was significantly better than that of the clinical models (P both <0.05). ConclusionThe deep learning model developed using DCE-MRI can accurately predict a tumor volume reduction of over 90% and downstaging of T/N stages in breast cancer patients after NAC, thereby potentially facilitating personalized treatment planning.

Analysis of prognostic factors and construction of prognostic models for invasive lobular carcinoma of the breast.

Invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC) account for most cases of breast cancer. However, there is ongoing debate about any potential variations in overall survival (OS) between ILC and IDC. This study aimed to compare survival between IDC and ILC, identify prognostic factors for ILC patients, and construct a nomogram for predicting OS rates. This retrospective cohort analysis utilized data from the Surveillance, Epidemiology, and End Results (SEER) Cancer Database. Patients diagnosed with ILC and IDC between 2000 and 2019 were enrolled. To minimize baseline differences in clinicopathological characteristics and survival outcomes, a propensity score matching (PSM) method was used. Data from the multivariate Cox regression analyses were used to construct a predictive nomogram for OS at 1, 3, and 5 years, incorporating all independent prognostic factors. Following the PSM procedure, patients with ILC exhibited a better prognosis compared to those with IDC. TNM stage, age >70, radiotherapy, surgery, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HR-/HER2+) subtype were identified as independent factors for OS in ILC patients. Surgery and radiotherapy effectively reduced the risk of death, while chemotherapy did not demonstrate the same benefit. This model could support clinicians in evaluating the prognosis of ILC for decision-making and patient counseling.

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example

BackgroundNone of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service.MethodsWe followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage.ResultsThrough a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: “Information”, “Interaction”, “Management”, and “My”, while the nurse-end program includes three functional modules: “Consultation”, “Management”, and “My”. The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use.ConclusionsBased on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

Prognostic Significance of CD163+ and/or CD206+ Tumor-Associated Macrophages Is Linked to Their Spatial Distribution and Tumor-Infiltrating Lymphocytes in Breast Cancer.

Tumor-associated macrophages (TAMs) is a key element in the breast tumor microenvironment. CD163 and CD206 have been utilized for TAM identification, but the clinical implications of TAMs identified by these markers have not been thoroughly explored. This study conducted a comparative analysis of CD163 and CD206 TAMs using digital image analysis, focusing on their spatial distribution and prognostic significance in relation to tumor-infiltrating lymphocytes (TILs). Distinct clinico-pathological and prognostic characteristics were noted between the two types of TAMs. CD163 TAMs were linked to high-grade tumors (p = 0.006), whereas CD206 TAMs were associated with a higher incidence of nodal metastasis (p = 0.033). CD206 TAMs were predominantly found in the stroma, with more cases being stromal CD206-high (sCD206-high) than tumoral CD206-high (tCD206-high) (p = 0.024). Regarding prognostication, patients stratified according to stromal and tumoral densities of CD163 showed different disease-free survival (DFS) time. Specifically, those that were sCD163-low but tCD163-high exhibited the poorest DFS (chi-square = 10.853, p = 0.013). Furthermore, a high sCD163-to-stromal-TILs ratio was identified as an independent predictor of unfavorable survival outcomes (DFS: HR = 3.477, p = 0.018). The spatial distribution and interactions with TILs enhanced the prognostic value of CD163 TAMs, while CD206 TAMs appeared to have limited prognostic utility in breast cancer cases.

Correlation of RANK and RANKL with mammographic density in primary breast cancer patients

PurposeThe receptor activator of nuclear factor kappa B (RANK) and its ligand (RANKL) have been shown to promote proliferation of the breast and breast carcinogenesis. The objective of this analysis was to investigate whether tumor-specific RANK and RANKL expression in patients with primary breast cancer is associated with high percentage mammographic density (PMD), which is a known breast cancer risk factor.MethodsImmunohistochemical staining of RANK and RANKL was performed in tissue microarrays (TMAs) from primary breast cancer samples of the Bavarian Breast Cancer Cases and Controls (BBCC) study. For RANK and RANKL expression, histochemical scores (H scores) with a cut-off value of > 0 vs 0 were established. PMD was measured in the contralateral, non-diseased breast. Linear regression models with PMD as outcome were calculated using common predictors of PMD (age at breast cancer diagnosis, body mass index (BMI) and parity) and RANK and RANKL H scores. Additionally, Spearman rank correlations (ρ) between PMD and RANK and RANKL H score were performed.ResultsIn the final cohort of 412 patients, breast cancer-specific RANK and RANKL expression was not associated with PMD (P = 0.68). There was no correlation between PMD and RANK H score (Spearman’s ρ = 0.01, P = 0.87) or RANKL H score (Spearman’s ρ = 0.04, P = 0.41). RANK expression was highest in triple-negative tumors, followed by HER2-positive, luminal B-like and luminal A-like tumors, while no subtype-specific expression of RANKL was found.ConclusionResults do not provide evidence for an association of RANK and RANKL expression in primary breast cancer with PMD.

Comprehensive analysis of stereotactic Radiosurgery outcomes in triple-negative breast cancer patients with brain metastases: The influence of immunotherapy and prognostic factors

IntroductionBreast cancer stands as the second most common solid tumors with a propensity for brain metastasis. Among metastatic breast cancer cases, the brain metastasis incidence ranges from 10 % to 30 %, with triple-negative breast cancer (TNBC) displaying a heightened risk and poorer prognosis. SRS has emerged as an effective local treatment modality for brain metastases; however, data on its outcomes specifically in pure triple-negative subtype remain scarce. MethodWe retrospectively reviewed the electronic medical records of all brain metastasis (BM) TNBC patients treated with SRS. Patient, tumour characteristics and treatment details data were collected. This retrospective cohort study aimed to evaluate local control (LC), distant brain metastasis free survival (DBMFS), and overall survival (OS) outcomes in TNBC patients undergoing SRS for brain metastases while identifying potential prognostic factors. ResultForty-three patients with TNBC and brain metastases treated with SRS between January 2017 and 2023 were included. The study found rates of LC (99 % at 1 year) and DBMFS (76 % at 1 year) after SRS, with brain metastasis count (p = 0,003) and systemic treatment modality (p = 0,001) being significant predictors of DBMFS. The median OS following SRS was 19.5 months, with neurological deficit (p = 0.003) and systemic treatment modality (p = 0.019) identified as significant predictors of OS. ConclusionSRS demonstrates favourable outcomes in terms of local control and distant brain metastasis-free survival in TNBC. Neurological deficit and systemic treatment significantly influence overall survival, emphasizing the importance of personalized treatment approaches and (magnetic resonance imaging) MRI surveillance based on these factors.