Spiritual Needs and Influencing Factors of Postoperative Breast Cancer Women Undergoing Chemotherapy: A Cross-Sectional Study.

Purpose: The purpose of the study was to determine the status of spiritual needs and influencing factors of postoperative breast cancer (BC) women undergoing chemotherapy. Participants and Methods: This study is a cross-sectional study. A total of 173 participants completed a general information questionnaire and a Chinese version of the Spiritual Needs Scale at the Guangxi Medical University Cancer Hospital. Data were collected by purposive sampling from December 2022 to April 2023. Data were analyzed by descriptive statistics, independent t-test, ANOVA, non-parametric test, and logistic regression analysis. Results: The spiritual needs of postoperative BC women undergoing chemotherapy were at a high level (84.20 ± 12.86). The need for "hope and peace" was considered paramount and the need for a "relationship with transcendence" was considered the least important. Significant differences were found in the following: spiritual needs total score (P=0.040) and "hope and peace" (P=0.021) in education level; "love and connection" in disease stage (P=0.021); "meaning and purpose" in education level (P=0.013), household income (P=0.012), and payment method (P=0.015); "relationship with transcendence" in religion (P<0.001); and "acceptance of dying" in marital status (P=0.023). The level of education was the influencing factor of spiritual needs (OR=1.50, P=0.005), especially for "hope and peace" (OR=1.50, P=0.012). Conclusion: The spiritual need of postoperative BC Chinese women undergoing chemotherapy is at a high level and should receive more attention. In clinical work, nurses should fully assess the spiritual needs of patients and meet their specific needs. Results may help nurses to develop targeted and comprehensive spiritual intervention strategies according to the characteristics of patients.

Evaluating online health information utilisation and its psychosocial implications among breast cancer survivors: Qualitative explorations.

Background: This study investigated the online information-seeking behaviours of breast cancer patients at Jordan University Hospital, focusing on their dissatisfaction with available online health resources and its impact on their well-being and anxiety levels. Methods: Employing descriptive phenomenology and convenience sampling, we conducted five Skype-based focus groups with 4-6 breast cancer survivors each, from March to July 2020. Data analysis was performed using NVivo, following Braun and Clark's inductive thematic analysis framework. Results: The thematic analysis revealed critical insights into survivors' interactions with online cancer resources, identifying key subthemes such as the quality of online information, cyberchondriasis, health literacy and search strategies, the distress caused by counterproductive searches, and the tendency to avoid internet searches. Conclusion: The study underscores the challenges breast cancer survivors face in accessing online health information, especially in Arabic. It highlights the need to improve the quality and accessibility of these resources. Enhancing the cultural relevance of online materials and educating patients on effective information evaluation are crucial. These measures can significantly boost health literacy, mitigate anxiety, and provide better support for breast cancer survivors.

Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy.

Background: Breast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes. Objective: This study aimed to evaluate the effects of the different Dose Calculation Algorithms (DCAs) and Biologically Model-Related Parameters (BMRPs) on the prediction of cardiopulmonary complications due to left breast radiotherapy. Material and Methods: In this practical study, the treatment plans of 21 female patients were simulated in the Monaco Treatment Planning System (TPS) with a prescribed dose of 50 Gy in 25 fractions. Dose distribution was extracted using the three DCAs [Pencil Beam (PB), Collapsed Cone (CC), and Monte Carlo (MC)]. Cardiopulmonary complications were predicted by Normal Tissue Complication Probability (NTCP) calculations using different dosimetric and biological parameters. The Lyman-Kutcher-Burman (LKB) and Relative-Seriality (RS) models were used to calculate NTCP. The endpoint for NTCP calculation was pneumonitis, pericarditis, and late cardiac mortality. The ANOVA test was used for statistical analysis. Results: In calculating Tumor Control Probability (TCP), a statistically significant difference was observed between the results of DCAs in the Poisson model. The PB algorithm estimated NTCP as less than others for all Pneumonia BMRPs. Conclusion: The impact of DCAs and BMRPs differs in the estimation of TCP and NTCP. DCAs have a stronger influence on TCP calculation, providing more effective results. On the other hand, BMRPs are more effective in estimating NTCP. Consequently, parameters for radiobiological indices should be cautiously used s to ensure the appropriate consideration of both DCAs and BMRPs.

Think of ink: Tattoo pigment masquerading as a breast mass.

Migration of tattoo pigment to axillary lymph nodes mimicking calcifications is a recognized phenomenon, however, pigment in an intra-mammary node masquerading as a breast mass is a rare complication of cosmetic tattoos. As the prevalence of tattooing increases among women presenting to Breastscreen, radiologists may expect to encounter this lesion mimicking a breast neoplasm. We present a 50-year-old female with extensive tattoos on her arms, chest wall and abdomen, recalled for a small calcified breast mass on her first screening mammogram. Tomosynthesis-guided vacuum-assisted biopsy demonstrated intra-mammary lymph node with abundant tattoo pigment.

Annexin-A5 Overexpression Increases Sensitivity of MCF-7 and MCF-7/ADR Cells to Epirubicin.

Background: Multi-drug resistance is an important challenge in the chemotherapy of cancer. The role of annexin A5 (ANXA5) in the biology of cancer has been the focus of many studies. Breast Cancer (BC) is frequent cancer in women with high morbidity and mortality rate. The present study aimed to investigate the effects of ANXA5 overexpression on the anti-tumor activity of Epirubicin (EPI) in MCF-7 and MCF-7/ADR cells. Methods: MCF-7 and MCF-7/ADR cells were transfected with the pAdenoVator-CMV-ANXA5-IRES-GFP plasmid or mock plasmid. The overexpression of ANXA5 was evaluated using qPCR. The effects of ANXA5 overexpression and EPI on the cell viability of MCF-7 and MCF-7/ADR cells were measured using an MTT assay. Cell apoptosis was measured by annexin V/7-AAD flow cytometry assay. Results: Following the overexpression of ANXA5, the viability of MCF-7 and MCF-7/ADR was significantly decreased. Furthermore, the overexpression of ANXA5 in MCF-7 cells increased the cytotoxic effects of EPI in all doses and reduced the IC50 of EPI from 17.69 µM to 4.07 µM. Similarly, the overexpression of ANXA5 in MCF7-ADR cells reduced the IC50 of EPI from 27.3 µM to 6.69 µM. ANXA5 overexpression alone or combined with EPI treatment increased the apoptosis of MCF7 and MCF7-ADR cells. Conclusion: The results of the present study demonstrate that ANXA5 overexpression increases the sensitivity of MCF-7 and MCF-7/ADR to EPI, suggesting a possible beneficial role of ANXA5 in the therapy of BC.

Association between pre-diagnosis recreational physical activity and risk of breast cancer recurrence: the California Teachers Study.

PURPOSE: Studies have reported inverse associations of pre-diagnosis recreational physical activity (RPA) level with all-cause and breast cancer (BCa)-specific mortality among BCa patients. However, the association between pre-diagnosis RPA level and BCa recurrence is unclear. We investigated the association between pre-diagnosis RPA level and risk of BCa recurrence in the California Teachers Study (CTS). METHODS: Stage I-IIIb BCa survivors (n = 6,479) were followed with median of 7.4 years, and 474 BCa recurrence cases were identified. Long-term (from high school to age at baseline questionnaire, or, age 55 years, whichever was younger) and baseline (past 3 years reported at baseline questionnaire) pre-diagnosis RPA levels were converted to metabolic equivalent of task-hours per week (MET-hrs/wk). Multivariable Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of BCa recurrence overall and by estrogen receptor (ER)/progesterone receptor (PR) status. RESULTS: Long-term RPA was not associated with BCa recurrence risk (ptrend = 0.99). The inverse association between baseline pre-diagnosis RPA level and BCa recurrence risk was marginally significant (≥26.0 vs. <3.4 MET-hrs/wk: HR = 0.79, 95% CI = 0.60-1.03; ptrend = 0.07). However, the association became non-significant after adjusting for post-diagnosis RPA (ptrend = 0.65). An inverse association between baseline pre-diagnosis RPA level and BCa recurrence risk was observed in ER-PR- cases (≥26.0 vs. <3.4 MET-hrs/wk: HR = 0.31, 95% CI = 0.13-0.72; ptrend = 0.04), but not in ER+ or PR+ cases (ptrend = 0.97). CONCLUSIONS: Our data indicates that the benefit of baseline RPA on BCa recurrence may differ by tumor characteristics. This information may be particularly important for populations at higher risk of ER-PR- BCa.

Clinicopathological Significance of Tumor Budding in Breast Carcinoma.

BACKGROUND: Tumour budding Tuberculosis is a new prognostic marker whose role in breast cancer is still under evaluation. Our aim was to study Tuberculosis in breast carcinoma and correlate it with other prognostic markers. METHODS: A descriptive cross-sectional study was conducted over 2 years on 75 invasive breast carcinoma specimens and biopsies. Hematoxylin and Eosin sections were examined for tumour grade, stage, molecular subtype, necrosis, lymphovascular invasion inflammation and counting of Tuberculosis. Lymph node metastasis was studied only in mastectomies. TB was defined as a cluster of 1-5 tumour cells and counted in 10 consecutive 400X fields. The cut-off for high grade TB was taken as ?10 per 10 HPFs. Immunohistochemical staining was done for molecular subtyping and differentiating Tuberculosis from mimickers. Statistical analysis was done using chi square test and Fischer's exact test. RESULTS: Tuberculosis was present in 66/75 cases; 53% (n=35) were high grade. Among these, majority were of T2 (74%, n= 26), grade 2 (52%, n= 18), luminal A (34%, n= 12), had 3+ inflammation (46%, n= 16) and peripheral tumour buds (54%). Necrosis and lymphovascular invasion were absent in 77% and 71%, respectively. Lymph node metastasis was seen in 63% (n= 25/28) cases. Statistically significant association (p= 0.016) was observed between degree of inflammation and Tuberculosis grade. However, no significant association was observed between TB and other prognostic markers of breast carcinoma. CONCLUSIONS: In our study, association of Tuberculosis with different prognostic markers was appreciated but was not statistically significant. However, it highlights need for standardization of Tuberculosis reporting.

Respiratory complex I regulates dendritic cell maturation in explant model of human tumor immune microenvironment.

BACKGROUND: Combining cytotoxic chemotherapy or novel anticancer drugs with T-cell modulators holds great promise in treating advanced cancers. However, the response varies depending on the tumor immune microenvironment (TIME). Therefore, there is a clear need for pharmacologically tractable models of the TIME to dissect its influence on mono- and combination treatment response at the individual level. METHODS: Here we establish a patient-derived explant culture (PDEC) model of breast cancer, which retains the immune contexture of the primary tumor, recapitulating cytokine profiles and CD8+T cell cytotoxic activity. RESULTS: We explored the immunomodulatory action of a synthetic lethal BCL2 inhibitor venetoclax+metformin drug combination ex vivo, discovering metformin cannot overcome the lymphocyte-depleting action of venetoclax. Instead, metformin promotes dendritic cell maturation through inhibition of mitochondrial complex I, increasing their capacity to co-stimulate CD4+T cells and thus facilitating antitumor immunity. CONCLUSIONS: Our results establish PDECs as a feasible model to identify immunomodulatory functions of anticancer drugs in the context of patient-specific TIME.

Return to Work in Breast Cancer Patients following an Interdisciplinary Rehabilitation Program in a Community-Based Cancer Rehabilitation Center: A Pilot Study.

Despite curative treatment and discharge from acute hospital settings, breast cancer patients often have cancer- and treatment-related morbidity which impairs them from returning to work. Hence, the role of community-based return to work rehabilitation programs is important to help these patients transition back to work. This was a retrospective cohort study involving patients with breast cancer conducted at a community-based cancer rehabilitation center. Patients were involved in an interdisciplinary vocational rehabilitation program involving physiatrists, occupational therapists, physiotherapists and social workers. We recruited 63 patients for this study cohort, with 46 (73.0%) patients ≤ 60 years old. After undergoing the rehabilitation program, there were 37 (58.7%) participants who successfully returned to work. These participants returned to work at either within 6 months (27.0%), 12 months (29.7%) or 24 months (43.2%) after enrollment into the program, with a majority enrolling in white collar jobs. Multivariate regression analysis revealed that significant negative factors for return to work were advanced stage of cancer (p = 0.004), along with clinically significant fatigue, measured on the Brief Fatigue Inventory (p < 0.001). However, perceived work ability (p = 0.020) was found to be a positive factor.

Tumor-Infiltrating Lymphocyte Level Consistently Correlates with Lower Stiffness Measured by Shear-Wave Elastography: Subtype-Specific Analysis of Its Implication in Breast Cancer.

Background: We aimed to elucidate the clinical significance of tumor stiffness across breast cancer subtypes and establish its correlation with the tumor-infiltrating lymphocyte (TIL) levels using shear-wave elastography (SWE). Methods: SWE was used to measure tumor stiffness in breast cancer patients from January 2016 to August 2020. The association of tumor stiffness and clinicopathologic parameters, including the TIL levels, was analyzed in three breast cancer subtypes. Results: A total of 803 patients were evaluated. Maximal elasticity (Emax) showed a consistent positive association with an invasive size and the pT stage in all cases, while it negatively correlated with the TIL level. A subgroup-specific analysis revealed that the already known parameters for high stiffness (lymphovascular invasion, lymph node metastasis, Ki67 levels) were significant only in hormone receptor-positive and HER2-negative breast cancer (HR + HER2-BC). In the multivariate logistic regression, an invasive size and low TIL levels were significantly associated with Emax in HR + HER2-BC and HER2 + BC. In triple-negative breast cancer, only TIL levels were significantly associated with low Emax. Linear regression confirmed a consistent negative correlation between TIL and Emax in all subtypes. Conclusions: Breast cancer stiffness presents varying clinical implications dependent on the tumor subtype. Elevated stiffness indicates a more aggressive tumor biology in HR + HER2-BC, but is less significant in other subtypes. High TIL levels consistently correlate with lower tumor stiffness across all subtypes.

Associations of pre-diagnosis physical activity with treatment tolerance and treatment efficacy in breast cancer patients with neoadjuvant chemotherapy.

PURPOSE: Higher pre-diagnosis physical activity (PA) is associated with lower all-cause mortality in breast cancer (BCa) patients. However, the association with pathological complete response (pCR) is unclear. We investigated the association between pre-diagnosis PA level and chemotherapy completion, dose delay, and pCR in BCa patients receiving neoadjuvant chemotherapy (NACT). METHODS: 180 stage I-III BCa patients receiving NACT (mean [SD] age of diagnosis: 60.8 [8.8] years) in the Sister Study were included. Self-reported recreational and total PA levels were converted to metabolic equivalent of task-hours per week (MET-hrs/wk). The pCR was defined as no invasive or in situ residual in breast or lymph node (ypT0 ypN0). Multivariable logistic regression analyses estimated odds ratios (ORs) and 95% confidence intervals (CIs) for treatment outcomes. RESULTS: In this sample, 45 (25.0%) BCa patients achieved pCR. Higher pre-diagnosis recreational PA was not associated with lower likelihood of chemotherapy completion (highest vs. lowest tertile: OR = 0.87, 95% CI = 0.30-2.56; Ptrend = 0.84), greater dose delay (OR = 1.45, 95% CI = 0.54-3.92; Ptrend = 0.46), or greater odds of pCR (OR = 1.28, 95% CI = 0.49-3.34; Ptrend = 0.44). Associations were similar for pre-diagnosis total PA. Meeting the recommended level of recreational PA was not associated with pCR overall (≥ 7.5 vs. < 7.5 MET-hrs/wk: OR = 1.33, 95% CI = 0.59-3.01). CONCLUSIONS: Although small sample size and limited information on exercise closer to time of diagnosis limit interpretation, pre-diagnosis PA was not convincingly associated with treatment tolerance or treatment efficacy in BCa patients receiving NACT. Future investigations are needed to better understand the impact of pre-diagnosis PA on BCa treatment.

Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.

OBJECTIVES: To evaluate the use of a commercial artificial intelligence (AI)-based mammography analysis software for improving the interpretations of breast ultrasound (US)-detected lesions. METHODS: A retrospective analysis was performed on 1109 breasts that underwent both mammography and US-guided breast biopsy. The AI software processed mammograms and provided an AI score ranging from 0 to 100 for each breast, indicating the likelihood of malignancy. The performance of the AI score in differentiating mammograms with benign outcomes from those revealing cancers following US-guided breast biopsy was evaluated. In addition, prediction models for benign outcomes were constructed based on clinical and imaging characteristics with and without AI scores, using logistic regression analysis. RESULTS: The AI software had an area under the receiver operating characteristics curve (AUROC) of 0.79 (95% CI, 0.79-0.82) in differentiating between benign and cancer cases. The prediction models that did not include AI scores (non-AI model), only used AI scores (AI-only model), and included AI scores (integrated model) had AUROCs of 0.79 (95% CI, 0.75-0.83), 0.78 (95% CI, 0.74-0.82), and 0.85 (95% CI, 0.81-0.88) in the development cohort, and 0.75 (95% CI, 0.68-0.81), 0.82 (95% CI, 0.76-0.88), and 0.84 (95% CI, 0.79-0.90) in the validation cohort, respectively. The integrated model outperformed the non-AI model in the development and validation cohorts (p < 0.001 for both). CONCLUSION: The commercial AI-based mammography analysis software could be a valuable adjunct to clinical decision-making for managing US-detected breast lesions. CLINICAL RELEVANCE STATEMENT: The commercial AI-based mammography analysis software could potentially reduce unnecessary biopsies and improve patient outcomes. KEY POINTS: • Breast US has high rates of false-positive interpretations. • A commercial AI-based mammography analysis software could distinguish mammograms having benign outcomes from those revealing cancers after US-guided breast biopsy. • A commercial AI-based mammography analysis software may improve interpretations for breast US-detected lesions.

3D amide proton transfer-weighted imaging may be useful for diagnosing early-stage breast cancer: a prospective monocentric study.

BACKGROUND: We investigated the value of three-dimensional amide proton transfer-weighted imaging (3D-APTWI) in the diagnosis of early-stage breast cancer (BC) and its correlation with the immunohistochemical characteristics of malignant lesions. METHODS: Seventy-eight women underwent APTWI and dynamic contrast-enhanced (DCE)-MRI. Pathological results were categorized as either benign (n = 43) or malignant (n = 37) lesions. The parameters of APTWI and DCE-MRI were compared between the benign and malignant groups. The diagnostic value of 3D-APTWI was evaluated using the area under the receiver operating characteristic curve (ROC-AUC) to establish a diagnostic threshold. Pearson's correlation was used to analyze the correlation between the magnetization transfer asymmetry (MTRasym) and immunohistochemical characteristics. RESULTS: The MTRasym and time-to-peak of malignancies were significantly lower than those of benign lesions (all p < 0.010). The volume transfer constant, rate constant, and wash-in and wash-out rates of malignancies were all significantly greater than those of benign lesions (all p < 0.010). ROC-AUCs of 3D-APTWI, DCE-MRI, and 3D-APTWI+DCE to differential diagnosis between early-stage BC and benign lesions were 0.816, 0.745, and 0.858, respectively. Only the difference between AUCAPT+DCE and AUCDCE was significant (p < 0.010). When a threshold of MTRasym for malignancy for 2.42%, the sensitivity and specificity of 3D-APTWI for BC diagnosis were 86.5% and 67.6%, respectively; MTRasym was modestly positively correlated with pathological grade (r = 0.476, p = 0.003) and Ki-67 (r = 0.419, p = 0.020). CONCLUSIONS: 3D-APTWI may be used as a supplementary method for patients with contraindications of DCE-MRI. MTRasym can imply the proliferation activities of early-stage BC. RELEVANCE STATEMENT: 3D-APTWI can be an alternative diagnostic method for patients with early-stage BC who are not suitable for contrast injection. KEY POINTS: • 3D-APTWI reflects the changes in the microenvironment of early-stage breast cancer. • Combined 3D-APTWI is superior to DCE-MRI alone for early-stage breast cancer diagnosis. • 3D-APTWI improves the diagnostic accuracy of early-stage breast cancer.

Risk factors for recurrence in patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative early breast cancer in Japan: a systematic literature review and meta-analysis.

BACKGROUND: The clinicopathological factors indicating risk of recurrence are used to guide the choice of perioperative therapy in patients with breast cancer. Although several risk factors for recurrence have been reported in patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) early breast cancer in Japan, there has been no systematic review quantifying potential risk factors. METHODS: We performed a systematic literature review and meta-analysis using the MEDLINE, Embase, Cochrane CENTRAL, and Japan Medical Abstract Society databases to identify risk factors for recurrence in HR+/HER2- early breast cancer in Japan. The primary outcome was relapse-free or disease-free survival (RFS/DFS), and the secondary outcomes were overall survival and breast cancer-specific survival (BCSS). RESULTS: Searches identified 42 eligible publications. Meta-analyses identified lymph node metastasis (hazard ratio: 2.76 [95% confidence interval: 1.97-3.88]), large tumor size (1.67 [1.24-2.23]), high histological grade (1.50 [1.04-2.16]), and high nuclear grade (2.02 [1.61-2.54]) as risk factors for RFS/DFS. Lymph node metastasis (2.43 [1.28-4.63]), large tumor size (1.80 [1.24-2.62]), and high histological grade (2.02 [1.44-2.84]) were also risk factors for overall survival, and high progesterone status was a possible favorable prognostic factor for BCSS (0.20 [0.10-0.42]). CONCLUSIONS: Identified risk factors were consistent with the previous reports, and this study provides quantitative summary of risk factors for HR+/HER2- early breast cancer recurrence in Japan. (PROSPERO Registration ID, CRD42022338391.).

Comparison of the Effect of 2 Virtual Education Methods: Family-based Versus Peer-Support on Perceived Stress and Stress Coping in Women with Breast Cancer: A Randomized Controlled Trial.

Background: Stress is an overwhelming feeling in patients with breast cancer (BC). However, The effect of virtual education has not been fully regulated. Hence, this study intends to compare the impact of 2 virtual education methods on perceived stress and stress coping in women with BC. Methods: A 3-armed randomized clinical trial was conducted among 315 women with BC who were referred to the Cancer Institute in Tehran. They were randomly assigned to 3 groups: (a) Family-based, receiving family-based training package; (b) peer-support, receiving peer-support educational package; and (c) control, receiving routine hospital care. Data were collected through demographic and disease characteristics, the Perceived Stress Scale (PSS-14), and Coping Inventory for Stressful Situations (CISS-21) questionnaires before and 3 months after the intervention. Results: The effect of the group factor after controlling the before-intervention scores in perceived stress, problem-oriented, emotion-oriented, and avoidance-oriented strategies were P < 0.0001, P = 0.015, P < 0.0001, and P = 0.111, respectively. Also, the effect of the confounding factor of BC disease stage in the dependent variables was P = 0.527, P = 0.275, P = 0.358, and P = 0.609, respectively. The effect size test showed that before the intervention, the mean scores of perceived stress, problem-oriented, emotion-oriented, and avoidance-oriented strategies were 32.00 ± 7.03, 19.36 ± 4.68, 25.10 ± 5.90, and 17.65 ± 6.64 respectively, but after the intervention showed a decrease in mean scores of perceived stress, emotion-oriented, and avoidance strategies. Conclusion: What is vibrant in virtual family-based education is far more effective than peer support when problem-oriented coping increases. Conversely, reducing perceived stress in women with BC receiving enough information and family support should be considered.

Safe and successful pregnancy following breast cancer treatment in young patients 35 years old or under without invasive fertility preservation: a retrospective study.

Purpose: Recent advances in the treatment of breast cancer have led to the improvement of breast cancer patient's survival. With the prolonged survival of these patients, pregnancy became an important issue, especially in young cancer patient aged 35 years or under. Increased hormone levels during pregnancy, however, raise concerns about elevating the risk of cancer recurrence. The aim of this study was to validate the notion of increased risk associated with pregnancy after breast cancer treatment in young patients. Methods: From January 2009 to December 2020, newly diagnosed breast cancer patients 35 years old or under who underwent optimal surgery in Korea University Guro Hospital were enrolled in this study. Patients were categorized into 3 groups: nulliparous, pregnancy prior to treatment of breast cancer, and patients with pregnancy after breast cancer treatment. Their overall survival and disease-free survival were evaluated. Results: A total of 107 patients were enrolled in this study. Thirteen patients (12.1%) conceived and successfully delivered. The mean follow-up period after surgery was 58.9 (± 33.5) months. There was no significant difference in overall survival (P = 0.608) and disease-free survival (P = 0.591) among different groups. Conclusion: In young patients, pregnancy after treatment for breast cancer did not affect their overall survival or diseasefree survival as compared to nullipara or previously delivered groups. Therefore, pregnancy counseling should not be prevented in young breast cancer patients 35 years old or under.

Comparative profiling by data-independent acquisition mass spectrometry reveals featured plasma proteins in breast cancer: a pilot study.

Purpose: Breast cancer is known to be influenced by genetic and environmental factors, and several susceptibility genes have been discovered. Still, the majority of genetic contributors remain unknown. We aimed to analyze the plasma proteome of breast cancer patients in comparison to healthy individuals to identify differences in protein expression profiles and discover novel biomarkers. Methods: This pilot study was conducted using bioresources from Seoul National University Bundang Hospital's Human Bioresource Center. Serum samples from 10 breast cancer patients and 10 healthy controls were obtained. Liquid chromatography-mass spectrometry analysis was performed to identify differentially expressed proteins. Results: We identified 891 proteins; 805 were expressed in the breast cancer group and 882 in the control group. Gene set enrichment and differential expression analysis identified 30 upregulated and 100 downregulated proteins in breast cancer. Among these, 10 proteins were selected as potential biomarkers. Three proteins were upregulated in breast cancer patients, including cluster of differentiation 44, eukaryotic translation initiation factor 2-α kinase 3, and fibronectin 1. Seven proteins downregulated in breast cancer patients were also selected: glyceraldehyde-3-phosphate dehydrogenase, α-enolase, heat shock protein member 8, integrin-linked kinase, tissue inhibitor of metalloproteinases-1, vasodilator-stimulated phosphoprotein, and 14-3-3 protein gamma. All proteins had been previously reported to be related to tumor development and progression. Conclusion: The findings suggest that plasma proteome profiling can reveal potential diagnostic biomarkers for breast cancer and may contribute to early detection and personalized treatment strategies. A further validation study with a larger sample cohort of breast cancer patients is planned.

Public data homogenization for AI model development in breast cancer.

BACKGROUND: Developing trustworthy artificial intelligence (AI) models for clinical applications requires access to clinical and imaging data cohorts. Reusing of publicly available datasets has the potential to fill this gap. Specifically in the domain of breast cancer, a large archive of publicly accessible medical images along with the corresponding clinical data is available at The Cancer Imaging Archive (TCIA). However, existing datasets cannot be directly used as they are heterogeneous and cannot be effectively filtered for selecting specific image types required to develop AI models. This work focuses on the development of a homogenized dataset in the domain of breast cancer including clinical and imaging data. METHODS: Five datasets were acquired from the TCIA and were harmonized. For the clinical data harmonization, a common data model was developed and a repeatable, documented "extract-transform-load" process was defined and executed for their homogenization. Further, Digital Imaging and COmmunications in Medicine (DICOM) information was extracted from magnetic resonance imaging (MRI) data and made accessible and searchable. RESULTS: The resulting harmonized dataset includes information about 2,035 subjects with breast cancer. Further, a platform named RV-Cherry-Picker enables search over both the clinical and diagnostic imaging datasets, providing unified access, facilitating the downloading of all study imaging that correspond to specific series' characteristics (e.g., dynamic contrast-enhanced series), and reducing the burden of acquiring the appropriate set of images for the respective AI model scenario. CONCLUSIONS: RV-Cherry-Picker provides access to the largest, publicly available, homogenized, imaging/clinical dataset for breast cancer to develop AI models on top. RELEVANCE STATEMENT: We present a solution for creating merged public datasets supporting AI model development, using as an example the breast cancer domain and magnetic resonance imaging images. KEY POINTS: • The proposed platform allows unified access to the largest, homogenized public imaging dataset for breast cancer. • A methodology for the semantically enriched homogenization of public clinical data is presented. • The platform is able to make a detailed selection of breast MRI data for the development of AI models.

Diseño y validación de un manual psicoeducativo sobre la colocación de catéter puerto en mujeres con cáncer de mama / Design and validation of a psychoeducational manual on port catheter placement in women with breast cancer

Introducción: Los abordajes educativos son intervenciones recomendadas para atender las necesidades informativas y emocionales de los pacientes con cáncer de mama. Entre ellos se encuentran los materiales psicoeducativos, que idealmente deben de estar desarrollados con base en la evidencia, para favorecer la alfabetización en salud; sin embargo, esto es poco común. Objetivo: Diseñar y validar el contenido de un manual psicoeducativo sobre la colocación del catéter puerto en mujeres con cáncer de mama, así como analizar su nivel de legibilidad. Método: se llevó a cabo una investigación prospectiva y transversal-descriptiva, a través de un diseño de tipo no experimental. Para la evaluación del manual, se contó con la participación de 9 jueces expertos en psicooncología, terapia intravenosa y medicina. Se analizó la validez de contenido con el índice de Osterlind y la dificultad de lectura con el índice INFLESZ. Resultados: El manual obtuvo una excelente evaluación de su contenido con un índice de Osterlind de 0,88 y en el análisis de dificultad de lectura obtuvo una puntuación de 67,3, evidencia de un material muy fácil de leer. Conclusiones: Los hallazgos muestran que el manual desarrollado es de calidad, de fácil acceso y comprensión para los pacientes que se someterán a la colocación de un catéter puerto. Asimismo, se ofrece evidencia de la importancia de construir materiales educativos basados en la investigación y en indicadores estadísticos.(AU)

Introduction: Educational approaches are recommended interventions to address the informational and emotional needs of patients with breast cancer. Among them are psychoeducational materials, which ideally should be evidence-based developed, to promote health literacy; however, this is rare. Objective: Design and validate the content of a psychoeducational manual on central venous catheters in women with breast cancer, as well as analyze its level of readability. Method: a prospective and transversal-descriptive research was carried out, through a non-experimental design. To evaluate the manual, 9 expert judges in psycho-oncology, intravenous therapy and medicine participated. Content validity was analyzed with the Osterlind index and reading difficulty with the INFLESZ index. Results: The manual obtained an excellent evaluation of its content with an Osterlind index of 0.88 and in the analysis of reading difficulty it obtained a score of 67.3, evidence of very easy-to-read material. Conclusions: The findings show that the developed manual is of quality, easy to access and understand for patients who will undergo central venous catheters. Likewise, evidence is offered of the importance of building educational materials based on research and statistical indicators.(AU)

Financial toxicity, family resilience and negative emotions among young and middle-aged breast cancer patients: A multicentre cross-sectional study.

PURPOSE: To determine financial toxicity in young and middle-aged women with breast cancer and examine the associations between family resilience and negative emotions. METHODS: A multicentre cross-sectional study was conducted, 538 women with breast cancer were recruited from four hospitals. FT, family resilience, and negative emotions were collected using the Comprehensive Score for FT, the Chinese version of the Family Resilience Assessment in Breast Cancer Patients, Patient Health Questionnaire-9 item, and Generalized Anxiety Disorder-7. This study adhered to the STROBE guidelines. RESULTS: The valid response rate was 96.8 % (N = 521). Overall, the score for FT was 19.63 ± 10.13. FT was significantly correlated with family resilience (r = 0.30, p < 0.010) and depression (r = -0.11, p < 0.050). The hierarchical multiple linear regression analysis showed that career status, monthly income, religion, and family resilience were the main factors influencing FT in patients with breast cancer (R2 = 0.37; F = 6.83; p < 0.001). CONCLUSIONS: FT was more prevalent among women from low-income career. Women with poor family resilience, no religious also suffer greater financial toxicity. It is necessary to pay more attention of the financial toxicity of female' low-income career, no religious belief and poor family resilience. Developing effective interventions based on family resilience might be helpful in promoting their well-being.