Risk perception regarding social determinants of health among women with breast cancer in Iran: a qualitative study.

OBJECTIVES: Breast cancer is the most common cancer among women all around the world. Today, in addition to factors including hormones and genetics that are involved in the occurrence of breast cancer, special attention is paid to the role of social and non-medical determinants of health. This study aims to explore the perception of Social Determinants of Health (SDH) in women with breast cancer. DESIGN: Qualitative study design with a conventional thematic analysis approach. SETTING: The study was conducted in Tehran, Iran, between December 2021 and February 2023. PARTICIPANTS: 19 women with breast cancer were selected through purposeful and snowball sampling with maximum variation. Sampling continued until data saturation was reached. PRIMARY AND SECONDARY OUTCOME MEASURES: The study categorised the extracted codes from interviews into three main categories and 12 subcategories related to SDH in women with breast cancer. RESULTS: The study identified factors such as personal and family health records, health behaviours and lifestyles and medical screening and follow-up as key themes in the perception of SDH among women with breast cancer. The main categories were also categorised into 12 subcategories, 'including family history', 'environmental factors', 'hormonal and medicinal changes', 'metaphysical factors', 'traditional medicine-related factors', 'stress', 'body weight', 'physical activity', 'nutrition', 'smoking and tobacco use', 'screening', 'self-examination' and 'barriers to medical follow-up'. 'Near the telecommunications tower', 'Improper use of supplements', 'Being subjected to the evil eye regularly', 'Eating cold nature foods', 'Breast weight' and 'Being ashamed of the doctor' were some examples of the codes. CONCLUSIONS: Participants identified a number of environmental, personal and cultural factors as contributing to the disease. Woman's screening behaviours were influenced by factors such as fear of disease and death, disbelief in getting sick and shame, depending on cultural context. The study suggests the need for further research to explore the impact of these factors on screening behaviours and outcomes in different cultural contexts.

Comparative effect of different mindfulness-based intervention types and deliveries on depression in patients with breast cancer: a protocol for a systematic review and network meta-analysis.

INTRODUCTION: Breast cancer has become the most common cancer worldwide. Various types of mindfulness-based interventions (e.g., mindfulness-based cognitive therapy, mindfulness-based stress reduction) have been conducted in different delivery methods (including face to face and internet delivered) to help patients with breast cancer mitigate their depression. However, at present, there are no studies that compare the effectiveness of all these types and deliveries of mindfulness-based interventions. Therefore, this protocol aims to conduct a systematic review and network meta-analysis to assess the effectiveness of various types and deliveries of mindfulness-based interventions in mitigating depression in patients with breast cancer. METHODS: This protocol is according to the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). The electronic databases, including PubMed, Web of Science, the Cochrane Library, Embase, Google Scholar, The China National Knowledge Infrastructure and OpenGrey, will be comprehensively retrieved for related randomised controlled trials (RCTs) from inception to December 2023. Two reviewers will independently assess the risk of bias using the Cochrane Risk of Bias Tool for Randomised Trials 2.0 (RoB 2.0). The network meta-analysis will be performed using the STATA V.16.0, and the assessment of heterogeneity, inconsistency, publication bias, evidence quality, subgroup analyses and sensitivity analyses will be conducted. ETHICS AND DISSEMINATION: This protocol does not require approval from an ethics committee as it is based on previous research findings. The results will be disseminated via peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42024495996.

Shear-Wave Elastography Gradient Analysis of Newly Diagnosed Breast Tumours: A Critical Analysis.

BACKGROUND: A better understanding of the peritumoral stroma changes due to tumour invasion using non-invasive diagnostic methods may improve the differentiation between benign and malignant breast lesions. This study aimed to assess the correlation between breast lesion differentiation and intra- and peritumoral shear-wave elastography (SWE) gradients. METHODS: A total of 135 patients with newly diagnosed breast lesions were included. Intratumoral, subsurface, and three consecutive peritumoral SWE value measurements (with three repetitions) were performed. Intratumoral, interface, and peritumoral gradients (Gradient 1 and Gradient 2) were calculated using averaged SWE values. Statistical analysis included descriptive statistics and an ordinary one-way ANOVA to compare overall and individual gradients among Breast Imaging-Reporting and Data System (BI-RADS) 2, 3, and 5 groups. RESULTS: Malignant tumours showed higher average SWE velocity values at the tumour centre (BI-RADS 2/3: 4.1 ± 1.8 m/s vs. BI-RADS 5: 4.9 ± 2.0 m/s, p = 0.04) and the first peritumoral area (BI-RADS 2/3: 3.4 ± 1.8 m/s vs. BI-RADS 5: 4.3 ± 1.8 m/s, p = 0.003). No significant difference was found between intratumoral gradients (0.03 ± 0.32 m/s vs. 0.0 ± 0.28 m/s; p > 0.999) or gradients across the tumour-tissue interface (-0.17 ± 0.18 m/s vs. -0.13 ± 0.35 m/s; p = 0.202). However, the first peritumoral gradient (-0.16 ± 0.24 m/s vs. -0.35 ± 0.31 m/s; p < 0.0001) and the second peritumoral gradient (-0.11 ± 0.18 m/s vs. -0.22 ± 0.28 m/s; p = 0.037) were significantly steeper in malignant tumours. The AUC was best for PTG1 (0.7358) and PTG2 (0.7039). A threshold value for peritumoral SWI PT1 above 3.76 m/s and for PTG1 below -0.238 m/s·mm-1 indicated malignancy in 90.6% of cases. CONCLUSIONS: Evaluating the peritumoral SWE gradient may improve the diagnostic pre-test probability, as malignant tumours showed a significantly steeper curve of the elasticity values in the peritumoral stroma compared to the linear regression with a relatively flat curve of benign lesions.

Using polygenic risk modification to improve breast cancer prevention: study protocol for the PRiMo multicentre randomised controlled trial.

INTRODUCTION: Established personal and familial risk factors contribute collectively to a woman's risk of breast or ovarian cancer. Existing clinical services offer genetic testing for pathogenic variants in high-risk genes to investigate these risks but recent information on the role of common genomic variants, in the form of a Polygenic Risk Score (PRS), has provided the potential to further personalise breast and ovarian cancer risk assessment. Data from cohort studies support the potential of an integrated risk assessment to improve targeted risk management but experience of this approach in clinical practice is limited. METHODS AND ANALYSIS: The polygenic risk modification trial is an Australian multicentre prospective randomised controlled trial of integrated risk assessment including personal and family risk factors with inclusion of breast and ovarian PRS vs standard care. The study will enrol women, unaffected by cancer, undergoing predictive testing at a familial cancer clinic for a pathogenic variant in a known breast cancer (BC) or ovarian cancer (OC) predisposition gene (BRCA1, BRCA2, PALB2, CHEK2, ATM, RAD51C, RAD51D). Array-based genotyping will be used to generate breast cancer (313 SNP) and ovarian cancer (36 SNP) PRS. A suite of materials has been developed for the trial including an online portal for patient consent and questionnaires, and a clinician education programme to train healthcare providers in the use of integrated risk assessment. Long-term follow-up will evaluate differences in the assessed risk and management advice, patient risk management intentions and adherence, patient-reported experience and outcomes, and the health service implications of personalised risk assessment. ETHICS AND DISSEMINATION: This study has been approved by the Human Research Ethics Committee of Peter MacCallum Cancer Centre and at all participating centres. Study findings will be disseminated via peer-reviewed publications and conference presentations, and directly to participants. TRIAL REGISTRATION NUMBER: ACTRN12621000009819.

Helping ourselves, helping others: the Young Women's Breast Cancer Study (YWS) - a multisite prospective cohort study to advance the understanding of breast cancer diagnosed in women aged 40 years and younger.

PURPOSE: Compared with older women diagnosed with breast cancer, younger women are more likely to die of breast cancer and more likely to suffer psychosocially in both the short-term and long term. The Young Women's Breast Cancer Study (YWS) is a multisite prospective cohort study established to address gaps in our knowledge about this vulnerable and understudied population. PARTICIPANTS: The YWS enrolled 1302 women newly diagnosed with stages 0-IV breast cancer at age 40 years or younger at 13 academic and community sites in North America between 2006 and 2016. Longitudinal patient-reported outcome data are complemented by clinical data abstraction and biospecimen collection at multiple timepoints. FINDINGS TO DATE: Key findings related to fertility include that nearly 40% of participants were interested in pregnancy following diagnosis; of those who reported interest, 10% pursued fertility preservation. Overall, approximately 10% of YWS participants became pregnant in the first 5 years after diagnosis; follow-up is ongoing for pregnancies after 5 years. Studies focused on psychosocial outcomes have characterised quality of life, post-traumatic stress and fear of recurrence, with findings detailing the factors associated with the substantial psychosocial burden many young women face during and following active treatment. Multiple studies have leveraged YWS biospecimens, including whole-exome sequencing of tumour analyses that revealed that select somatic alterations occur at different frequencies in young (age≤35) versus older women with luminal A breast cancer, and a study that explored clonal hematopoiesis of indeterminate potential found it to be rare in young survivors. FUTURE PLANS: With a median follow-up of approximately 10 years, the cohort is just maturing for many relevant long-term outcomes and provides outstanding opportunities to further study and build collaborations to address gaps in our knowledge, with the ultimate objective to improve care and outcomes for young women with breast cancer. TRIAL REGISTRATION NUMBER: NCT01468246.

Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours.

Objectives: This study aimed to develop a deep learning radiomic model using multimodal imaging to differentiate benign and malignant breast tumours. Methods: Multimodality imaging data, including ultrasonography (US), mammography (MG), and magnetic resonance imaging (MRI), from 322 patients (112 with benign breast tumours and 210 with malignant breast tumours) with histopathologically confirmed breast tumours were retrospectively collected between December 2018 and May 2023. Based on multimodal imaging, the experiment was divided into three parts: traditional radiomics, deep learning radiomics, and feature fusion. We tested the performance of seven classifiers, namely, SVM, KNN, random forest, extra trees, XGBoost, LightGBM, and LR, on different feature models. Through feature fusion using ensemble and stacking strategies, we obtained the optimal classification model for benign and malignant breast tumours. Results: In terms of traditional radiomics, the ensemble fusion strategy achieved the highest accuracy, AUC, and specificity, with values of 0.892, 0.942 [0.886-0.996], and 0.956 [0.873-1.000], respectively. The early fusion strategy with US, MG, and MRI achieved the highest sensitivity of 0.952 [0.887-1.000]. In terms of deep learning radiomics, the stacking fusion strategy achieved the highest accuracy, AUC, and sensitivity, with values of 0.937, 0.947 [0.887-1.000], and 1.000 [0.999-1.000], respectively. The early fusion strategies of US+MRI and US+MG achieved the highest specificity of 0.954 [0.867-1.000]. In terms of feature fusion, the ensemble and stacking approaches of the late fusion strategy achieved the highest accuracy of 0.968. In addition, stacking achieved the highest AUC and specificity, which were 0.997 [0.990-1.000] and 1.000 [0.999-1.000], respectively. The traditional radiomic and depth features of US+MG + MR achieved the highest sensitivity of 1.000 [0.999-1.000] under the early fusion strategy. Conclusion: This study demonstrated the potential of integrating deep learning and radiomic features with multimodal images. As a single modality, MRI based on radiomic features achieved greater accuracy than US or MG. The US and MG models achieved higher accuracy with transfer learning than the single-mode or radiomic models. The traditional radiomic and depth features of US+MG + MR achieved the highest sensitivity under the early fusion strategy, showed higher diagnostic performance, and provided more valuable information for differentiation between benign and malignant breast tumours.

RecurIndex-Guided postoperative radiotherapy with or without Avoidance of Irradiation of regional Nodes in 1-3 node-positive breast cancer (RIGAIN): a study protocol for a multicentre, open-label, randomised controlled prospective, phase III trial.

INTRODUCTION: Postoperative radiotherapy in patients with breast cancer with one to three lymph node metastases, particularly within the pT1-2N1M0 cohort with a low clinical risk of local-regional recurrence (LRR), has incited a discourse surrounding personalised treatment strategies. Multigene testing for Recurrence Index (RecurIndex) model capably differentiates patients based on their level of LRR risk. This research aims to validate whether a more aggressive treatment approach can enhance clinical outcomes in N1 patients who possess a clinically low risk of LRR, yet a high RecurIndex-determined risk of LRR. Specifically, this entails postoperative whole breast irradiation combined with regional lymph node irradiation (RNI) following breast-conserving surgery or chest wall irradiation with RNI after mastectomy. METHODS AND ANALYSIS: The RIGAIN (RecurIndex-Guided postoperative radiotherapy with or without Avoidance of Irradiation of regional Nodes in 1-3 node-positive breast cancer) Study is a multicentre, prospective, randomised, open-label, phase III clinical trial that is being conducted in China. In this study, patients with low clinical LRR risk but high RecurIndex-LRR risk are randomly assigned in a 1:1 ratio to the experimental group or the control group. In the experimental group, RNI is performed and the control group omits RNI. Efficacy and safety analyses will be conducted, enrolling a total of 540 patients (270 per group). The primary endpoint is invasive disease-free survival, and secondary endpoints include any first recurrence, LRR-free survival, distant metastasis-free survival, recurrence-free survival, overall survival, disease-free survival, breast cancer-specific mortality and assessment of patient quality of life. The study began in April 2023 and with a follow-up period of 60 months after the last participant completes radiation therapy. ETHICS AND DISSEMINATION: The study was approved by the Ethics Committee of Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University (SYSKY-2022-097-02, V.3.1). It adheres to the Helsinki Declaration and Good Clinical Practice. Research findings will be submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT04069884.

Mapping the cited evidence of ductal carcinoma in situ from the 5th edition of the World Health Organisation classification of tumours of the breast.

AIMS: Ductal carcinoma in situ (DCIS) is recognised by the World Health Organisation (WHO) Classification of Tumours (WCT) as a non-invasive neoplastic epithelial proliferation confined to the mammary ducts and lobules. This report categorises the references cited in the DCIS chapter of the 5th edition of the WCT (Breast Tumours) according to prevailing evidence levels for evidence-based medicine and the Hierarchy of Evidence for Tumour Pathology (HETP), identifying potential gaps that can inform subsequent editions of the WCT for this tumour. METHODS AND RESULTS: We included all citations from the DCIS chapter of the WCT (Breast Tumours, 5th edition). Each citation was appraised according to its study design and evidence level. We developed our map of cited evidence, which is a graphical matrix of tumour type (column) and tumour descriptors (rows). Spheres were used to represent the evidence, with size and colour corresponding to their number and evidence level respectively. Thirty-six publications were retrieved. The cited literature in the DCIS chapter comprised mainly case series and were regarded as low-level. We found an unequal distribution of citations among tumour descriptors. 'Pathogenesis' and 'prognosis and prediction' contained the most references, while 'clinical features', 'aetiology' and 'diagnostic molecular pathology' had only a single citation each. 'Prognosis and prediction' had the greatest proportion of moderate- and high-levels of evidence. CONCLUSION: Our findings align with the disposition for observational studies inherent in the field of pathology. Our map is a springboard for future efforts in mapping all available evidence on DCIS, potentially augmenting the editorial process and future editions of WCTs.

Ultrasound-based comparative analysis and nomogram development for predicting triple-negative and non-triple-negative breast cancer: a 4-year institutional study in Quanzhou First Hospital.

OBJECTIVE: The objective of this study was to compare ultrasound features and establish a predictive nomogram for distinguishing between triple-negative breast cancer (TNBC) and non-TNBC. DESIGN: A retrospective cohort study. SETTING: This study was conducted at Quanzhou First Hospital, a grade A tertiary hospital in Quanzhou, China, with the research data set covering the period from September 2019 to August 2023. PARTICIPANTS: The study included a total of 205 female patients with confirmed TNBC and 574 female patients with non-TNBC, who were randomly divided into a training set and a validation set at a ratio of 7:3. MAIN OUTCOME MEASURES: All patients underwent ultrasound examination and received a confirmatory pathological diagnosis. Nodules were classified according to the Breast Imaging-Reporting and Data System standard. Subsequently, the study conducted a comparative analysis of clinical characteristics and ultrasonic features. RESULTS: A statistically significant difference was observed in multiple clinical and ultrasonic features between TNBC and non-TNBC. Specifically, in the logistic regression analysis conducted on the training set, indicators such as posterior echo, lesion size, presence of clinical symptoms, margin characteristics, internal blood flow signals, halo and microcalcification were found to be statistically significant (p<0.05). These significant indicators were then effectively incorporated into a static and dynamic nomogram model, demonstrating high predictive performance in distinguishing TNBC from non-TNBC. CONCLUSION: The results of our study demonstrated that ultrasound features can be valuable in distinguishing between TNBC and non-TNBC. The presence of posterior echo, size, clinical symptoms, margin, internal flow, halo and microcalcification was identified as predictive factors for this differentiation. Microcalcification, hyperechoic halo, internal flow and clinical symptoms emerged as the strongest predictive factors, indicating their potential as reliable indicators for identifying TNBC and non-TNBC.

Non-pharmaceutical interventions for depressive symptoms in patients with breast cancer: protocol for a systematic review and network meta-analysis.

INTRODUCTION: Patients with breast cancer often suffer from depressive symptoms throughout various stages of cancer, significantly impacting their quality of life and treatment outcomes. Non-pharmaceutical interventions such as psychotherapy, mind-body therapies and physical exercise have shown effectiveness in addressing cancer-related depression. However, the efficacy and safety of different non-pharmacological interventions remain a topic of debate. Therefore, to provide an objective assessment and comparison of the impact of different non-pharmaceutical interventions on depression, we will conduct a network meta-analysis (NMA) to explore the effects of different non-pharmaceutical interventions on reducing depressive symptoms among patients with breast cancer. METHODS AND ANALYSIS: We will search nine Chinese and English-language databases, from database inception to 31 July 2023, for randomised controlled trials published in Chinese or English. The English-language databases are PubMed, Medline, Embase, Web of Science and Cochrane Central Register of Controlled Trials, and the Chinese databases are CBM, CNKI, VIP and Wanfang. Two independent researchers will perform information extraction from eligible articles. The primary outcome will be the changes in depressive symptoms, while the secondary outcome will include adverse events. STATA V.15.0 will be used to conduct paired meta-analysis and NMA. Grading of Recommendations Assessment, Development and Evaluation will be used to assess the quality of evidence, and the Cochrane tool for assessing the risks of bias in randomised trials V.2 will be used for risk of bias assessment. ETHICS AND DISSEMINATION: The study does not require ethical approval as it will analyse data from existing studies. It is expected that the results of the study will be published in peer-reviewed journals and presented at relevant conferences. PROSPERO REGISTRATION NUMBER: CRD42023450494.

Addressing the unmet needs of women with breast cancer in Mexico: a non-randomised pilot study of the digital ePRO intervention.

OBJECTIVES: This study aimed to explore the acceptability, feasibility, usability, and preliminary effect of an electronic patient-reported outcome (ePRO) intervention for patients with breast cancer in Mexico. DESIGN: We conducted a multimethod non-randomised pilot study. We used a pre-test/post-test design for quantitative assessment of the intervention's effect on patients' supportive care needs and quality of life. We conducted in-depth interviews (IDIs) with participants and healthcare workers to explore the intervention's benefits and barriers and understand its feasibility. PARTICIPANTS: 50 women aged 20-75 diagnosed with stage I-III breast cancer were enrolled within 2 weeks of starting neoadjuvant or adjuvant treatment with chemotherapy or radiotherapy. We excluded illiterate women and those with visual impairment, cognitive disability or severe depression. IDIs were conducted with 18 participants and 10 healthcare providers. SETTING: Oncology services in three public hospitals of the Mexican Social Security Institute. INTERVENTION: The ePRO intervention consisted of a responsive web application for weekly symptom reporting combined with proactive follow-up by nurses guided by predefined clinical algorithms for 6 weeks. RESULTS: 50 women were enrolled out of 66 eligible patients approached (75.8%). All 50 completed the 4-week follow-up assessment (100% retention). Completion of the symptom registry declined from 100% in week 1 to 66% in week 6. Participants experienced decreases in supportive care needs and increased quality of life. The ePRO application was rated highly usable. Participants and health professionals both perceived intervention benefits. Drawbacks included poor fit for women receiving radiotherapy and challenges using the application for women with low digital literacy or experiencing severe symptoms. CONCLUSIONS: This pilot study provided evidence of the high usability and potential efficacy of a web-based ePRO intervention. We revised recruitment during the pilot to include multiple facilities, and we will further revise for the randomised trial to address barriers to successful ePRO implementation. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov ID: NCT05925257.

IL21R hypomethylation as a biomarker for distinguishing benign and malignant breast tumours.

Some benign and malignant breast tumours are similar in pathological morphology, which are difficult to be distinguished in clinical diagnosis. In this study, we intended to explore novel biomarkers for differential diagnosis of benign and malignant breast tumours. Methylation EPIC 850K beadchip and RNA-sequencing were used to analyse 29 tissue samples from patients with early-stage breast cancer (BC) and benign breast tumours for differently methylated and expressed genes. The altered methylation of IL21R was semi-quantitatively validated in an independent study with 566 tissue samples (279 BC vs. 287 benign breast tumours) using mass spectrometry. Binary logistic regression analysis was performed to evaluate the association between IL21R methylation and BC. BC-associated IL21R hypomethylation and overexpression were identified in the discovery round. In the validation round, BC patients presented significant IL21R hypomethylation compared to women with benign breast tumours (ORs ≥1.29 per-10% methylation, p-values ≤ 5.69E-14), and this hypomethylation was even enhanced in BC patients with ER-negative and PR-negative tumours as well as with triple-negative tumours. The methylation of IL21R showed efficient discriminatory power to distinguish benign breast tumours from BC (area under curve (AUC) = 0.88), and especially from ER-negative BC (AUC = 0.95), PR-negative BC (AUC = 0.93) and triple-negative BC (AUC = 0.96). We disclosed significant IL21R hypomethylation in patients with BC compared to women with benign breast tumours, and revealed the somatic change of DNA methylation could be a potential biomarker for molecular pathology of BC.

Practice of breast self-examination and associated factors among women of reproductive age in the North Shoa Zone, Oromia, Ethiopia, 2022: a convergent mixed-methods study.

OBJECTIVE: To assess practice of breast self-examination (BSE) and associated factors among women of reproductive age in the North Shoa Zone, Oromia, Ethiopia. DESIGN: Community-based cross-sectional study with a convergent mixed-methods approach. SETTING: The study was conducted in the North Shoa Zone of Oromia, Central Ethiopia, between 1 May 2022 and 30 June 2022. PARTICIPANTS: 1076 women of reproductive age were selected using simple random sampling technique for the quantitative study. For the qualitative part, a total of 46 women were approached purposively to elicit rich ideas and insight into the issue. The quantitative data were collected using an interviewer-administered questionnaire, and focus group discussions were used for the qualitative part. Quantitative data were analysed using SPSS V.26. An adjusted OR with a 95% CI was employed. Thematic analysis approach was applied for the qualitative data analysis. OUTCOME MEASURES: Participants were interviewed to respond whether they practised BSE. RESULTS: Overall, 192 (18.2%; 15.7%-20.5%) of the participants had ever performed BSE. Having a family history of breast cancer (BC) (adjusted OR (AOR)=6.9, 95% CI 4.6 to 10.3), being knowledgeable on BSE (AOR=3, 95% CI 1.9 to 4.3), having high perceived susceptibility (AOR=1.7, 95% CI 1.2 to 2.5), having high self-efficacy (AOR=1.5, 95% CI 1.1 to 2.3) and having a high perceived benefit to BSE (AOR=1.5, 95% CI 1.1 to 2.3) were significantly associated with increased odds of BSE practice.Four main themes emerged from the qualitative analysis: BC and BSE-related knowledge, perceived benefits of treatment, barriers to BSE practice and enablers of BSE practice. CONCLUSION: The practice of BSE in this area was considerably low. The North Shoa Zonal Health Office and other stakeholders should disseminate instructional materials that cover the techniques and benefits of regularly performing BSE. Healthcare professionals should engage in the community to address the obstacles women face in practising BSE.

Prognostic factors for the development of upper limb dysfunctions after breast cancer: the UPLIFT-BC prospective longitudinal cohort study protocol.

INTRODUCTION: Upper limb (UL) dysfunctions are highly prevalent in people after breast cancer and have a great impact on performing activities in daily living. To improve care, a more comprehensive understanding of the development and persistence of UL dysfunctions is needed. Therefore, the UPLIFT-BC study will primarily examine the prognostic value of different factors at the body functions and structures, environmental and personal level of the International Classification of Functioning, Disability and Health (ICF) framework at 1-month post-surgery for persisting UL dysfunctions at 6 months after finishing cancer treatment. METHODS AND ANALYSIS: A prospective longitudinal cohort study, running from 1-week pre-surgery to 6 months post-local cancer treatment, is performed in a cohort of 250 women diagnosed with primary breast cancer. Different potentially prognostic factors to UL dysfunctions, covering body functions and structures, environmental and personal factors of the ICF, are assessed pre-surgically and at different time points post-surgery. The primary aim is to investigate the prognostic value of these factors at 1-month post-surgery for subjective UL function (ie, QuickDASH) at 6 months post-cancer treatment, that is, 6 months post-radiotherapy or post-surgery (T3), depending on the individuals' cancer treatment trajectory. In this, factors with relevant prognostic value pre-surgery are considered as well. Similar analyses are performed with an objective measure for UL function (ie, accelerometry) and a composite score of the combination of subjective and objective UL function. Second, in the subgroup of participants who receive radiotherapy, the prognostic value of the same factors is explored at 1-month post-radiotherapy and 6 months post-surgery. A forward stepwise selection strategy is used to obtain these multivariable prognostic models. ETHICS AND DISSEMINATION: The study protocol was approved by the Ethics Committee of UZ/KU Leuven (reference number s66248). The results of this study will be published in peer-reviewed journals and will be presented at several research conferences. TRIAL REGISTRATION NUMBER: NCT05297591.

Role of Gut Microbe Composition in Psychosocial Symptom Response to Exercise Training in Breast Cancer Survivors (ROME) study: protocol for a randomised controlled trial.

INTRODUCTION: Breast cancer survivors have an increased risk for chronic fatigue and altered gut microbiota composition, both with negative health and quality of life affects. Exercise modestly improves fatigue and is linked to gut microbial diversity and production of beneficial metabolites. Studies suggest that gut microbiota composition is a potential mechanism underlying fatigue response to exercise. Randomised controlled trials testing the effects of exercise on the gut microbiome are limited and there is a scarcity of findings specific to breast cancer survivors. The objective of this study is to determine if fitness-related modifications to gut microbiota occur and, if so, mediate the effects of aerobic exercise on fatigue response. METHODS AND ANALYSIS: The research is a randomised controlled trial among breast cancer survivors aged 18-74 with fatigue. The primary aim is to determine the effects of aerobic exercise training compared with an attention control on gut microbiota composition. The secondary study aims are to test if exercise training (1) affects the gut microbiota composition directly and/or indirectly through inflammation (serum cytokines), autonomic nervous system (heart rate variability) or hypothalamic-pituitary-adrenal axis mediators (hair cortisol assays), and (2) effects on fatigue are direct and/or indirect through changes in the gut microbiota composition. All participants receive a standardised controlled diet. Assessments occur at baseline, 5 weeks, 10 weeks and 15 weeks (5 weeks post intervention completion). Faecal samples collect the gut microbiome and 16S gene sequencing will identify the microbiome. Fatigue is measured by a 13-item multidimensional fatigue scale. ETHICS AND DISSEMINATION: The University of Alabama at Birmingham Institutional Review Board (IRB) approved this study on 15 May 2019, UAB IRB#30000320. A Data and Safety Monitoring Board convenes annually or more often if indicated. Findings will be disseminated in peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT04088708.

Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening programme.

INTRODUCTION: Radiologist shortages threaten the sustainability of breast cancer screening programmes. Artificial intelligence (AI) products that can interpret mammograms could mitigate this risk. While previous studies have suggested this technology has accuracy comparable to radiologists most have been limited by using 'enriched' datasets and/or not considering the interaction between the algorithm and human readers. This study will address these limitations by comparing the accuracy of a workflow using AI alongside radiologists on a large consecutive cohort of examinations from a breast cancer screening programme. The study will combine the strengths of a large retrospective design with the benefit of prospective data collection. It will test this technology without risk to screening programme participants nor the need to wait for follow-up data. With a sample of 2 years of consecutive screening examinations, it is likely the largest test of this technology to date. The study will help determine whether this technology can safely be introduced into the BreastScreen New South Wales (NSW) population-based screening programme to address radiology workforce risks without compromising cancer detection rates or increasing false-positive recalls. METHODS AND ANALYSIS: A retrospective, consecutive cohort of digital mammography screens from 658 207 examinations from BreastScreen NSW will be reinterpreted by the Lunit Insight MMG AI product. The cohort includes 4383 screen-detected and 1171 interval cancers. The results will be compared with radiologist single reading and the AI results will also be used to replace the second reader in a double-reading model. New adjudication reading will be performed where the AI disagrees with the first reader. Recall rates and cancer detection rates of combined AI-radiologist reading will be compared with the rates obtained at the time of screening. ETHICS AND DISSEMINATION: This study has ethical approval from the NSW Health Population Health Services Research Ethics Committee (2022/ETH02397). Findings will be published in peer-reviewed journals and presented at conferences. The findings of this evaluation will be provided to programme managers, governance bodies and other stakeholders in Australian breast cancer screening programmes.

Willingness of healthcare providers to perform population-based cancer screening: a cross-sectional study in primary healthcare institutions in Tianjin, China.

OBJECTIVE: To evaluate the willingness of healthcare providers to perform population-based screening in primary healthcare institutions in China. METHODS: Healthcare providers of 262 primary healthcare institutions in Tianjin were invited to fill out a questionnaire consisting of demographic characteristics, workload, and knowledge of, attitude towards and willingness to perform breast, cervical and colorectal cancer screening. Willingness to screen was the primary outcome. Multilevel logistic regression models were conducted to analyse the determinants of healthcare providers' willingness to screen. ORs and 95% CIs were estimated. RESULTS: A total of 554 healthcare providers from 244 institutions answered the questionnaire. 67.2%, 72.1% and 74.3% were willing to perform breast, cervical and colorectal cancer screening, respectively. A negative attitude towards screening was associated with a low willingness for cervical (OR=0.27; 95% CI 0.08, 0.94) and colorectal (OR=0.08; 95% CI 0.02, 0.30) cancer screening, while this was not statistically significant for breast cancer screening (OR=0.30; 95% CI 0.08, 1.12). For breast, cervical and colorectal cancer screening, 70.1%, 63.8% and 59.0% of healthcare providers reported a shortage of staff dedicated to screening. A perceived reasonable manpower allocation was a determinant of increased willingness to perform breast (OR=2.86; 95% CI 1.03, 7.88) and colorectal (OR=2.70; 95% CI 1.22, 5.99) cancer screening. However, this was not significant for cervical cancer screening (OR=1.76; 95% CI 0.74, 4.18). CONCLUSIONS: In China, healthcare providers with a positive attitude towards screening have a stronger willingness to contribute to cancer screening, and therefore healthcare providers' attitude, recognition of the importance of screening and acceptable workload should be optimised to improve the uptake of cancer screening.

Trade-offs between overall survival and side effects in the treatment of metastatic breast cancer: eliciting preferences of patients with primary and metastatic breast cancer using a discrete choice experiment.

OBJECTIVES: There has been a recent proliferation in treatment options for patients with metastatic breast cancer. Such treatments often involve trade-offs between overall survival and side effects. Our study aims to estimate the trade-offs that could be used to inform decision-making at the individual and policy level. DESIGN: We designed a discrete choice experiment (DCE) to look at preferences for avoiding severity levels of side effects when choosing treatment for metastatic breast cancer. Treatment attributes were: fatigue, nausea, diarrhoea, other side effects (peripheral neuropathy, hand-foot syndrome and mucositis) and urgent hospital admission and overall survival. Responses were analysed using an error component logit model. We estimated the relative importance of attributes and minimum acceptable survival for improvements in side effects. SETTING: The DCE was completed online by UK residents with self-reported diagnoses of breast cancer. PARTICIPANTS: 105 respondents participated, of which 72 patients had metastatic breast cancer and 33 patients had primary breast cancer. RESULTS: Overall survival had the largest relative importance, followed by other side effects, diarrhoea, nausea and fatigue. The risk of urgent hospital admission was not significant. While overall survival was the most important attribute, respondents were willing to forgo some absolute probability of overall survival for reductions in all Grade 2 side effects (12.02% for hand-foot syndrome, 11.01% for mucositis, 10.42% for peripheral neuropathy, 6.33% for diarrhoea and 3.62% for nausea). Grade 1 side effects were not significant, suggesting respondents have a general tolerance for them. CONCLUSIONS: Patients are willing to forgo overall survival to avoid particular severity levels of side effects. Our results have implications for data collected in research studies and can help inform person-centred care and shared decision-making.

Effects of different exercise interventions on chemotherapy-related cognitive impairment in patients with breast cancer: a study protocol for systematic review and network meta-analysis.

INTRODUCTION: Breast cancer stands as the most prevalent type of cancer affecting women globally, and chemotherapy plays a pivotal role in its treatment by diminishing tumour recurrence and enhancing the survival rates of patients. However, chemotherapy-related cognitive impairment (CRCI) often occurs in patients undergoing treatment. Although multiple clinical trials have indicated that exercise therapy can improve CRCI in patients with breast cancer, there are variations in the types of exercise interventions and their effectiveness. We aim to perform a pioneering network meta-analysis (NMA) to assess and prioritise the effectiveness of various exercise interventions in enhancing cognitive function in patients with breast cancer undergoing chemotherapy. METHODS AND ANALYSIS: We will search multiple databases, including PubMed, Web of Science, Cochrane, Embase, China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Wanfang and Sinomed databases, from their inception to May 2023. The main outcome is the cognitive function changes in patients with breast cancer, including subjective and objective results. We will specifically include randomised controlled trials reported in English and Chinese languages, whose primary outcome consists of an assessment of the cognitive function of patients with breast cancer using standardised and validated assessment tools, encompassing both subjective and objective outcomes. The quality of all the trials included will be evaluated based on 'Version 2 of the Cochrane tool for assessing the risk of bias in randomized controlled trials (RoB2)'. We will conduct a Bayesian NMA to thoroughly evaluate and compare the effectiveness of different exercise interventions. We will use cumulative ranking probability plots to estimate the ranking of the best interventions for various exercises. Network plots and funnel plots will be employed to display the study sizes and participants of each exercise intervention, as well as potential publication biases. ETHICS AND DISSEMINATION: The study findings will be shared via peer-reviewed journals to ensure the highest quality and credibility of the research. As the reporting will not include any private patient data, there are no ethical considerations associated with this protocol. PROSPERO REGISTRATION NUMBER: CRD42023406597.

Feasibility study of a multimodal prehabilitation programme in women receiving neoadjuvant therapy for breast cancer in a major cancer hospital: a protocol.

INTRODUCTION: Neoadjuvant therapy has become a standard treatment for patients with stage II/III HER2 positive and triple negative breast cancer, and in well-selected patients with locally advanced and borderline resectable high risk, luminal B breast cancer. Side effects of neoadjuvant therapy, such as fatigue, cardiotoxicity, neurotoxicity, anxiety, insomnia, vasomotor symptoms, gastrointestinal disturbance as well as a raft of immune-related adverse events, may impact treatment tolerance, long-term outcomes, and quality of life. Providing early supportive care prior to surgery (typically termed 'prehabilitation') may mitigate these side effects and improve quality of life.During our codesign of the intervention, consumers and healthcare professionals expressed desire for a programme that 'packaged' care, was easy to access, and was embedded in their care pathway. We hypothesise that a multimodal supportive care programme including exercise and complementary therapies, underpinned by behavioural change theory will improve self-efficacy, quality of life, readiness for surgery and any additional treatment for women with breast cancer. We seek to explore cardiometabolic, residual cancer burden and surgical outcomes, along with chemotherapy completion (relative dose intensity). This article describes the protocol for a feasibility study of a multimodal prehabilitation programme. METHODS AND ANALYSIS: This is a prospective, mixed-method, feasibility study of a multi-modal programme in a hospital setting for 20-30 women with breast cancer receiving neoadjuvant therapy. Primary outcomes are recruitment rate, retention rate, adherence and acceptability. Secondary outcomes include patient reported outcome measures (PROMs), surgical outcomes, length of stay, satisfaction with surgery, chemotherapy completion rates, changes in metabolic markers and adverse events. Interviews and focus groups to understand the experience with prehabilitation and different factors that may affect feasibility of the intervention . The output of this study will be a codesigned, evidence-informed intervention assessed for feasibility and acceptability by women with breast cancer and the healthcare professionals that care for them. ETHICS AND DISSEMINATION: The study received ethics approval from the St Vincents Hospital HREC (HREC/2021/ETH12198). Trial results will be communicated to participants, healthcare professionals, and the public via publication and conferences. TRIAL REGISTRATION NUMBER: ACTRN12622000584730.