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Background In KEYNOTE-522 (NCT03036488), neoadjuvant pembrolizumab plus chemotherapy and then adjuvant pembrolizumab significantly improved pathological complete response and event-free survival vs neoadjuvant chemotherapy in early-stage triple-negative breast cancer (TNBC). We report patient-reported outcomes (PROs) from KEYNOTE-522. Methods Patients were randomized 2:1 to neoadjuvant pembrolizumab 200 mg or placebo every 3 weeks, plus 4 cycles of paclitaxel plus carboplatin and then 4 cycles of doxorubicin (or epirubicin) plus cyclophosphamide. After surgery, patients received adjuvant pembrolizumab or placebo for up to 9 cycles. European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 (EORTC QLQ-C30) and EORTC Breast Cancer-Specific Quality of Life Questionnaire (EORTC QLQ-BR23) were prespecified secondary objectives. Between-group differences in least squares (LS) mean change from baseline (day 1 of cycle 1 in both neoadjuvant and adjuvant phases) to the prespecified latest time point with at least 60% completion and at least 80% compliance were assessed using a longitudinal model (no alpha error assigned). Results Week 21 (neoadjuvant phase) and week 24 (adjuvant phase) were the latest time points at which completion/compliance rates were ≥60%/80%. In the neoadjuvant phase, between-group differences (pembrolizumab plus chemotherapy [n = 762] vs placebo plus chemotherapy [n = 383]) in LS mean change from baseline to week 21 in QLQ-C30 global health status/quality of life (GHS/QoL), emotional functioning, and physical functioning were −1.04 (95% confidence interval = −3.46 to 1.38), −0.69 (95% CI = −3.13 to 1.75), and −2.85 (95% CI = −5.11 to −0.60), respectively. In the adjuvant phase, between-group differences (pembrolizumab [n = 539] vs placebo [n = 308]) in LS mean change from baseline to week 24 were −0.41 (95% CI = −2.60 to 1.77), −0.60 (95% CI = −2.99 to 1.79), and −1.57 (95% CI = −3.36 to 0.21). Conclusions No substantial differences in PRO assessments were observed between neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab vs neoadjuvant placebo plus chemotherapy in early-stage TNBC. Trial registration ClinicalTrials.gov, NCT03036488. [ABSTRACT FROM AUTHOR]

Background: The management of early breast cancer (BC) has witnessed an uprise in the use of neoadjuvant therapy and a remarkable reshaping of the systemic therapy postneoadjuvant treatment in the last few years, with the evolution of many controversial clinical situations that require consensus. Methods: During the 14th Breast‐Gynecological and Immuno‐Oncology International Cancer Conference held in Egypt in 2022, a panel of 44 BC experts from 13 countries voted on statements concerning debatable challenges in the neo/adjuvant treatment setting. The recommendations were subsequently updated based on the most recent data emerging. A modified Delphi approach was used to develop this consensus. A consensus was achieved when ≥75% of voters selected an answer. Results and Conclusions: The consensus recommendations addressed different escalation and de‐escalation strategies in the setting of neoadjuvant therapy for early BC. The recommendations recapitulate the available clinical evidence and expert opinion to individualize patient management and optimize therapy outcomes. Consensus was reached in 63% of the statements (52/83), and the rationale behind each statement was clarified. Consensus recommendations of the 14th Breast‐Gynecological and Immuno‐Oncology International Cancer Conference recapitulate the available clinical evidence and expert opinion to individualize and optimize the neoadjuvant therapy of breast cancer. [ABSTRACT FROM AUTHOR]

Introduction: There is much literature about the role of 2-[18F]FDG PET/CT in patients with breast cancer (BC). However, there exists no international guideline with involvement of the nuclear medicine societies about this subject. Purpose: To provide an organized, international, state-of-the-art, and multidisciplinary guideline, led by experts of two nuclear medicine societies (EANM and SNMMI) and representation of important societies in the field of BC (ACR, ESSO, ESTRO, EUSOBI/ESR, and EUSOMA). Methods: Literature review and expert discussion were performed with the aim of collecting updated information regarding the role of 2-[18F]FDG PET/CT in patients with no special type (NST) BC and summarizing its indications according to scientific evidence. Recommendations were scored according to the National Institute for Health and Care Excellence (NICE) criteria. Results: Quantitative PET features (SUV, MTV, TLG) are valuable prognostic parameters. In baseline staging, 2-[18F]FDG PET/CT plays a role from stage IIB through stage IV. When assessing response to therapy, 2-[18F]FDG PET/CT should be performed on certified scanners, and reported either according to PERCIST, EORTC PET, or EANM immunotherapy response criteria, as appropriate. 2-[18F]FDG PET/CT may be useful to assess early metabolic response, particularly in non-metastatic triple-negative and HER2+ tumours. 2-[18F]FDG PET/CT is useful to detect the site and extent of recurrence when conventional imaging methods are equivocal and when there is clinical and/or laboratorial suspicion of relapse. Recent developments are promising. Conclusion: 2-[18F]FDG PET/CT is extremely useful in BC management, as supported by extensive evidence of its utility compared to other imaging modalities in several clinical scenarios. [ABSTRACT FROM AUTHOR]

This editorial commentary discusses the Joint EANM-SNMMI guidelines on the use of 2-[18F]FDG PET/CT in breast cancer. The guidelines provide updated information on the use of this imaging technique in various stages of breast cancer, such as initial staging, treatment response assessment, and recurrence assessment. The commentary compares these guidelines to those from ESMO and NCCN, highlighting both similarities and differences in their recommendations. The article emphasizes the importance of determining which patient subgroups would benefit from 2-[18F]FDG PET/CT, considering factors such as cost, radiation exposure, and potential false-positive results. It also calls for further research to support the use of this imaging technique and promote greater harmonization of imaging and clinical guidelines. [Extracted from the article]

We herein report 3 cases of breast cancer who developed Pneumocystis Jirovecii Pneumonia during dose-dense chemotherapy. The patients developed fever, fatigue, and cough on the 4th to 5th cycle of chemotherapy. Chest computed tomography (CT) scan showed ground-glass opacities, later on confirmed PCP as bronchoalveolar lavage (BAL) was performed. They were treated with Trimethoprim-Sulfamethoxazole (TMP-SMX) for 3 weeks, with clinical improvement. The first case was able to complete subsequent cycles of chemotherapy with TMP-SMX prophylaxis. The second case omitted the remaining cycles of chemotherapy and proceeded with adjuvant hormonal and radiotherapy. The third case also discontinued subsequent cycles and proceeded with surgery. All 3 cases didn't developed complications nor recurrence of infection on their subsequent treatments. Clinicians must be vigilant in recognizing those at risk for PCP especially among cancer patients undergoing dose-dense chemotherapy. Moreover, as the infection is life-threatening, early treatment must be initiated to prevent serious complications. Prophylactic antibiotic must be considered if there is a high-risk for recurrence of infection, thus preventing delay in surgery or adjuvant therapies. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to describe distinct trajectories of anxiety/depression symptoms and overall health status/quality of life over a period of 18 months following a breast cancer diagnosis, and identify the medical, socio‐demographic, lifestyle, and psychological factors that predict these trajectories. Methods: 474 females (mean age = 55.79 years) were enrolled in the first weeks after surgery or biopsy. Data from seven assessment points over 18 months, at 3‐month intervals, were used. The two outcomes were assessed at all points. Potential predictors were assessed at baseline and the first follow‐up. Machine‐Learning techniques were used to detect latent patterns of change and identify the most important predictors. Results: Five trajectories were identified for each outcome: stably high, high with fluctuations, recovery, deteriorating/delayed response, and stably poor well‐being (chronic distress). Psychological factors (i.e., negative affect, coping, sense of control, social support), age, and a few medical variables (e.g., symptoms, immune‐related inflammation) predicted patients' participation in the delayed response and the chronic distress trajectories versus all other trajectories. Conclusions: There is a strong possibility that resilience does not always reflect a stable response pattern, as there might be some interim fluctuations. The use of machine‐learning techniques provides a unique opportunity for the identification of illness trajectories and a shortlist of major bio/behavioral predictors. This will facilitate the development of early interventions to prevent a significant deterioration in patient well‐being. [ABSTRACT FROM AUTHOR]

Background Quality of life (QOL) is a critical factor in decision-making for advanced breast cancer (ABC). There is a need to improve how QOL and treatment-related side effects (SEs) that impact it are clinically assessed. We examined healthcare professionals' (HCPs') and patients' perspectives on the importance of QOL discussions and the impact of SEs on QOL in clinical settings. Patients and Methods A cross-sectional online survey was conducted (7/2020-5/2021) among oncologists, nurses, and patients with HR+/HER2− ABC in 7 countries. Results The survey was completed by 502 HCPs and 467 patients. Overall, 88% of oncologists and 49% of patients recalled QOL discussions at follow-up. In the first- through fourth-line (1L, 2L, 3L, and 4L) settings, respectively, 48%, 57%, 79%, and 85% of oncologists reported QOL was very important; 73% and 45% of patients receiving 1L and 2L treatment and 40% receiving 3L+ treatment indicated QOL was important. Patients reported that insomnia, anxiety, back pain, fatigue, diarrhea, hot flashes, low sexual interest, and loss of appetite had a moderate/severe impact on QOL. Of patients experiencing certain SEs, ≥64% did not discuss them with HCPs until there was a moderate/severe impact on QOL. In patients receiving a CDK4/6 inhibitor, SEs, including insomnia, diarrhea, back pain, and fatigue, had a moderate/severe impact on QOL. Conclusions This survey discovered disconnects between HCPs and patients with ABC on the importance of QOL discussions and the impact of SEs on QOL. These data support the use of ABC-specific QOL questionnaires that closely monitor SEs impacting QOL. [ABSTRACT FROM AUTHOR]

Introduction Prospective data about quality of life (QoL) in men with breast cancer (BC) are lacking. A prospective registry (EORTC10085) of men with all BC stages, including a QoL correlative study, was performed as part of the International Male Breast Cancer Program. Methods Questionnaires at BC diagnosis included the EORTC QLQ-C30 and BR23 (BC specific module), adapted for men. High functioning and global health/QoL scores indicate high functioning levels/high QoL; high symptom-focused measures scores indicate high symptoms/problems levels. EORTC reference data for healthy men and women with BC were used for comparisons. Results Of 422 men consenting to participate, 363 were evaluable. Median age was 67 years, and median time between diagnosis and survey was 1.1 months. A total of 114 men (45%) had node-positive early disease, and 28 (8%) had advanced disease. Baseline mean global health status score was 73 (SD: 21), better than in female BC reference data (62, SD: 25). Common symptoms in male BC were fatigue (22, SD: 24), insomnia (21, SD: 28), and pain (16, SD: 23), for which women's mean scores indicated more burdensome symptoms at 33 (SD: 26), 30 (SD: 32), and 29 (SD: 29). Men's mean sexual activity score was 31 (SD: 26), with less sexual activity in older patients or advanced disease. Conclusions QoL and symptom burden in male BC patients appears no worse (and possibly better) than that in female patients. Future analyses on impact of treatment on symptoms and QoL over time, may support tailoring of male BC management. [ABSTRACT FROM AUTHOR]

Obesity is associated with an increased risk of developing breast cancer (BC) and worse prognosis in BC patients, yet its impact on BC biology remains understudied in humans. This study investigates how the biology of untreated primary BC differs according to patients' body mass index (BMI) using data from >2,000 patients. We identify several genomic alterations that are differentially prevalent in overweight or obese patients compared to lean patients. We report evidence supporting an ageing accelerating effect of obesity at the genetic level. We show that BMI-associated differences in bulk transcriptomic profile are subtle, while single cell profiling allows detection of more pronounced changes in different cell compartments. These analyses further reveal an elevated and unresolved inflammation of the BC tumor microenvironment associated with obesity, with distinct characteristics contingent on the estrogen receptor status. Collectively, our analyses imply that obesity is associated with an inflammaging-like phenotype. We conclude that patient adiposity may play a significant role in the heterogeneity of BC and should be considered for BC treatment tailoring. The association between obesity and breast cancer biology remains understudied in humans. Here, using a large retrospective data collection, the authors identify obesity associated changes in the genomic, transcriptomic profile, and the tumor microenvironment of primary untreated breast tumors. [ABSTRACT FROM AUTHOR]

As the voice of cancer care clinicians and the patients they serve, ASCO has taken steps to elevate awareness about biosimilar products and their use in oncology. In 2018, ASCO released its Statement on Biosimilars in Oncology which was subsequently published in the Journal of Clinical Oncology to serve as an educational tool which highlighted and provided guidance on several topical areas surrounding biosimilars. At the time of its publication, the US Food and Drug Administration (FDA) had approved eight biosimilar products for use in the United States, including one product for use as a supportive care agent in the cancer setting and two products for use in the treatment for cancer. This number has risen dramatically (40 approvals), with a total of 22 cancer or cancer-related biosimilar products approved since 2015. Recently, the FDA also approved the four interchangeable biosimilar products for diabetes, certain inflammatory diseases, and certain ophthalmic diseases. Given the current market dynamics and the regulatory landscape, this ASCO manuscript now seeks to propose several policy recommendations across the scope of value, interchangeability, clinician barriers, and patient education and access. This policy statement is intended to guide ASCO's future activities and strategies and serves to affirm our commitment to providing education to the oncology community on the use of biosimilars in the cancer setting. [ABSTRACT FROM AUTHOR]

Background: Proper and well-timed interventions may improve breast cancer patient adaptation and quality of life (QoL) through treatment and recovery. The challenge is to identify those patients who would benefit most from a particular intervention. The aim of this study was to measure whether the machine learning prediction incorporated in the clinical decision support system (CDSS) improves clinicians' performance to predict patients' QoL during treatment process. Methods: We conducted two user experiments in which clinicians used a CDSS to predict QoL of breast cancer patients. In both experiments each patient was evaluated both with and without the aid of a machine learning (ML) prediction. In Experiment I, 60 breast cancer patients were evaluated by 6 clinicians. In Experiment II, 90 patients were evaluated by 9 clinicians. The task of clinicians was to predict the patient's quality of life at either 6 (Experiment I) or 12 months post-diagnosis (Experiment II). Results: Taking into account input from the machine learning prediction considerably improved clinicians' prediction accuracy. Accuracy of clinicians for predicting QoL of patients at 6 months post-diagnosis was.745 (95% CI.668–.821) with the aid of the prediction provided by the ML model and.696 (95% CI.608–.781) without the aid. Clinicians' prediction accuracy at 12 months was.739 (95% CI.667–.812) with the aid and.709 (95% CI.633–.783) without the aid. Conclusion: The results show that the machine learning model integrated into the CDSS can improve clinicians' performance in predicting patients' quality of life. [ABSTRACT FROM AUTHOR]

Background: A cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) + endocrine therapy is recommended as first-line treatment for hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2−) advanced breast cancer (ABC). Quality of life (QoL) is an important endpoint that affects treatment decisions. Understanding the relevance of CDK4/6i treatment on QoL is gaining importance given use in earlier treatment lines for ABC and an emerging role in treating early breast cancer in which QoL may be more impactful. In the absence of head-to-head trial data, a matching-adjusted indirect comparison (MAIC) permits comparative efficacy between trials. Objective: In this analysis, patient-reported QoL for MONALEESA-2 [ribociclib + aromatase inhibitor (AI)] and MONARCH 3 (abemaciclib + AI) was compared using MAIC with a focus on individual domains. Design: An anchored MAIC of QoL comparing ribociclib + AI versus abemaciclib + AI was performed using data from the European Organization for Research and Treatment of Cancer quality of life questionnaire (QLQ)-C30 and BR-23 questionnaires. Methods: Individual patient data from MONALEESA-2 and published aggregated data from MONARCH 3 were included in this analysis. Time to sustained deterioration (TTSD) was calculated as the time from randomization to a ⩾10-point deterioration with no later improvement above this threshold. Results: Patients from the ribociclib (n = 205) and placebo (n = 149) arms of MONALEESA-2 were matched with patients from the abemaciclib (n = 328) and placebo (n = 165) arms of MONARCH 3. After weighting, baseline patient characteristics were well balanced. TTSD significantly favored ribociclib versus abemaciclib in appetite loss [hazard ratio (HR), 0.46; 95% confidence interval (CI), 0.27–0.81], diarrhea (HR, 0.42; 95% CI, 0.23–0.79), fatigue (HR, 0.63; 95% CI, 0.41–0.96), and arm symptoms (HR, 0.49; 95% CI, 0.30–0.79). TTSD did not significantly favor abemaciclib compared with ribociclib in any functional or symptom scale of the QLQ-C30 or BR-23 questionnaires. Conclusions: This MAIC indicates that ribociclib + AI is associated with better symptom-related QoL than abemaciclib + AI for postmenopausal patients with HR+/HER2− ABC treated in the first-line setting. Trial registration: NCT01958021 (MONALEESA-2) and NCT02246621 (MONARCH 3) [ABSTRACT FROM AUTHOR]

Background: Approximately 62% of patients with breast cancer with a pathogenic variant (BRCA1 or BRCA2) undergo primary breast-conserving therapy. Objective: The study aims to develop a personalized risk management decision support tool for carriers of a pathogenic variant (BRCA1 or BRCA2) who underwent breast-conserving therapy for unilateral early-stage breast cancer. Methods: We developed a Bayesian network model of a hypothetical cohort of carriers of BRCA1 or BRCA2 diagnosed with stage I/II unilateral breast cancer and treated with breast-conserving treatment who underwent subsequent second primary cancer risk–reducing strategies. Using event dependencies structured according to expert knowledge and conditional probabilities obtained from published evidence, we predicted the 40-year overall survival rate of different risk-reducing strategies for 144 cohorts of women defined by the type of pathogenic variants (BRCA1 or BRCA2), age at primary breast cancer diagnosis, breast cancer subtype, stage of primary breast cancer, and presence or absence of adjuvant chemotherapy. Results: Absence of adjuvant chemotherapy was the most powerful factor that was linked to a dramatic decline in survival. There was a negligible decline in the mortality in patients with triple-negative breast cancer, who received no chemotherapy and underwent any secondary risk–reducing strategy, compared with surveillance. The potential survival benefit from any risk-reducing strategy was more modest in patients with triple-negative breast cancer who received chemotherapy compared with patients with luminal breast cancer. However, most patients with triple-negative breast cancer in stage I benefited from bilateral risk-reducing mastectomy and risk-reducing salpingo-oophorectomy or just risk-reducing salpingo-oophorectomy. Most patients with luminal stage I/II unilateral breast cancer benefited from bilateral risk-reducing mastectomy and risk-reducing salpingo-oophorectomy. The impact of risk-reducing salpingo-oophorectomy in patients with luminal breast cancer in stage I/II increased with age. Most older patients with the BRCA1 and BRCA2 pathogenic variants in exons 12-24/25 with luminal breast cancer may gain a similar survival benefit from other risk-reducing strategies or surveillance. Conclusions: Our study showed that it is mandatory to consider the complex interplay between the types of BRCA1 and BRCA2 pathogenic variants, age at primary breast cancer diagnosis, breast cancer subtype and stage, and received systemic treatment. As no prospective study results are available at the moment, our simulation model, which will integrate a decision support system in the near future, could facilitate the conversation between the health care provider and patient and help to weigh all the options for risk-reducing strategies leading to a more balanced decision. [ABSTRACT FROM AUTHOR]

Background: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient's ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled "Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back" or, in short, BOUNCE. Objective: The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer. Methods: A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model. Results: The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022. Conclusions: This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients' needs, supported by eHealth technologies. [ABSTRACT FROM AUTHOR]

Introduction: Breast volume estimation is considered crucial for breast cancer surgery planning. A single, easy, and reproducible method to estimate breast volume is not available. This study aims to evaluate, in patients proposed for mastectomy, the accuracy of the calculation of breast volume from a low-cost 3D surface scan (Microsoft Kinect) compared to the breast MRI and water displacement technique. Material and Methods: Patients with a Tis/T1–T3 breast cancer proposed for mastectomy between July 2015 and March 2017 were assessed for inclusion in the study. Breast volume calculations were performed using a 3D surface scan and the breast MRI and water displacement technique. Agreement between volumes obtained with both methods was assessed with the Spearman and Pearson correlation coefficients. Results: Eighteen patients with invasive breast cancer were included in the study and submitted to mastectomy. The level of agreement of the 3D breast volume compared to surgical specimens and breast MRI volumes was evaluated. For mastectomy specimen volume, an average (standard deviation) of 0.823 (0.027) and 0.875 (0.026) was obtained for the Pearson and Spearman correlations, respectively. With respect to MRI annotation, we obtained 0.828 (0.038) and 0.715 (0.018). Discussion: Although values obtained by both methodologies still differ, the strong linear correlation coefficient suggests that 3D breast volume measurement using a low-cost surface scan device is feasible and can approximate both the MRI breast volume and mastectomy specimen with sufficient accuracy. Conclusion: 3D breast volume measurement using a depth-sensor low-cost surface scan device is feasible and can parallel MRI breast and mastectomy specimen volumes with enough accuracy. Differences between methods need further development to reach clinical applicability. A possible approach could be the fusion of breast MRI and the 3D surface scan to harmonize anatomic limits and improve volume delimitation. [ABSTRACT FROM AUTHOR]

An interview with the 6th International Consensus Conference for Advanced Breast Cancer (ABC6) chairpersons Fatima Cardoso and Renate Haidinger is presented. They talk about the major changes in local advanced breast cancer (LABC) and metastatic breast cancer (MBC), including the developments of new drugs like antibody-drug conjugates (ADC). They cite some accomplishments in managing the Covid pandemic and treatment of MBC patients.

Objective: The main objective of this prospective multicenter study was to examine whether illness representations of control, affect, and coping behaviors mediate the effects of self‐efficacy to cope with cancer on psychological symptoms and overall quality of life, in breast cancer patients. Method: Data from 413 women (Mean age = 54.87; SD = 8.01), coming from four countries (i.e., Finland, Israel, Italy, Portugal), who received medical therapy for their early breast cancer, were analyzed. Coping self‐efficacy was assessed at baseline. Potential mediators were assessed three months later, and outcomes after six months. Results: Coping self‐efficacy was related to all mediators and outcomes. Illness representations of treatment control, positive and negative affect, and certain coping behaviors (mostly, anxiety preoccupation) mediated the effects of coping self‐efficacy. Coping self‐efficacy was related to each outcome through a different combination of mediators. Conclusions: Coping self‐efficacy is a major self‐regulation factor which is linked to well‐being through multiple cognitive, emotional, and behavioral pathways. Enhancement of coping self‐efficacy should be a central intervention goal for patients with breast cancer, towards promotion of their well‐being. [ABSTRACT FROM AUTHOR]

The article offers information on Highlights from the San Antonio Breast Cancer Symposium in San Antonio on December 8–11, 2020. Topics icnlude the low-risk gene expression prognostic classifiers and chemotherapy benefit were assessed in 2 large-scale trials of patients with node-negative tumors, and the developments in targeted therapies for breast cancer patients that will make their way into clinical practice.

Gene expression data obtained in large studies hold great promises for discovering disease signatures or subtypes through data analysis. It is also prone to technical variation, whose removal is essential to avoid spurious discoveries. Because this variation is not always known and can be confounded with biological signals, its removal is a challenging task. Here we provide a step-wise procedure and comprehensive analysis of the MINDACT microarray dataset. The MINDACT trial enrolled 6693 breast cancer patients and prospectively validated the gene expression signature MammaPrint for outcome prediction. The study also yielded a full-transcriptome microarray for each tumor. We show for the first time in such a large dataset how technical variation can be removed while retaining expected biological signals. Because of its unprecedented size, we hope the resulting adjusted dataset will be an invaluable tool to discover or test gene expression signatures and to advance our understanding of breast cancer. Laurent Jacob et al. develop a workflow and analytical pipeline to remove technical variation from the MINDACT microarray dataset. Their method preserved biological signals and the normalized datasets can be repurposed for the discovery of other biomarkers and signatures for breast cancer. [ABSTRACT FROM AUTHOR]

Globally, cancer is the second leading cause of death, with numbers greatly exceeding those for human immunodeficiency virus/acquired immunodeficiency syndrome, tuberculosis, and malaria combined. Limited access to timely diagnosis, to affordable, effective treatment, and to high-quality care are just some of the factors that lead to disparities in cancer survival between countries and within countries. In this article, the authors consider various factors that prevent access to cancer medicines (particularly access to essential cancer medicines). Even if an essential cancer medicine is included on a national medicines list, cost might preclude its use, it might be prescribed or used inappropriately, weak infrastructure might prevent it being accessed by those who could benefit, or quality might not be guaranteed. Potential strategies to address the access problems are discussed, including universal health coverage for essential cancer medicines, fairer methods for pricing cancer medicines, reducing development costs, optimizing regulation, and improving reliability in the global supply chain. Optimizing schedules for cancer therapy could reduce not only costs, but also adverse events, and improve access. More and better biomarkers are required to target patients who are most likely to benefit from cancer medicines. The optimum use of cancer medicines depends on the effective delivery of several services allied to oncology (including laboratory, imaging, surgery, and radiotherapy). Investment is necessary in all aspects of cancer care, from these supportive services to technologies, and the training of health care workers and other staff. [ABSTRACT FROM AUTHOR]

Purpose: Male breast cancer (BC) is rare, representing approximately 1% of cancers that occur in men and approximately 1% of all BCs worldwide. Because male BC is rare, not much is known about the disease, and treatment recommendations are typically extrapolated from data available from clinical trials enrolling female BC patients.Methods: We review the epidemiology, risk factors, prognosis, and the varied molecular and clinicopathologic features that characterize male BC. In addition, we summarize the available data for the use of systemic therapy in the treatment of male BC and explore the ongoing development of targeted therapeutic agents for the treatment of this subgroup of BCs.Results: There are important biological differences between male and female BC. Male BC is almost exclusively hormone receptor positive (+), including the androgen receptor (AR), and is associated with an increased prevalence of BRCA2 germline mutations, especially in men with increased risk for developing high-risk BC. Additional research is warranted to better characterize male BC. To accomplish this, a multi-national consortium approach, such as the International Male Breast Cancer Program, is needed in response to the scarcity of patients. This approach allows the pooling of information from a large number of men with BC and the creation of registries for future therapeutic-focused clinical trials.Conclusions: Given the unique biology of BC in men, promising new therapeutic targets are currently under investigation, including the use of poly-ADP-ribose polymerase inhibitors or AR-targeted agents either as monotherapy or in combination with other agents. [ABSTRACT FROM AUTHOR]

Accurate identification of breast cancer patients most likely to benefit from adjuvant systemic therapies is crucial. Better understanding of differences between methods can lead to an improved ER, PgR, and HER-2 assessment. The purpose of this preplanned translational research is to investigate the correlation of central IHC/FISH assessments with microarray mRNA readouts of ER, PgR, and HER-2 status in the MINDACT trial and to determine if any discordance could be attributed to intratumoral heterogeneity or the DCIS and normal tissue components in the specimens. MINDACT is an international, prospective, randomized, phase III trial investigating the clinical utility of MammaPrint in selecting patients with early breast cancer for adjuvant chemotherapy ( n = 6694 patients). Gene-expression data were obtained by TargetPrint; IHC and/or FISH were assessed centrally ( n = 5788; 86 %). Macroscopic and microscopic evaluation of centrally submitted FFPE blocks identified 1427 cases for which the very same sample was submitted for gene-expression analysis. TargetPrint ER had a positive agreement of 98 %, and a negative agreement of 95 % with central pathology. Corresponding figures for PgR were 85 and 94 % and for HER-2 72 and 99 %. Agreement of mRNA versus central protein was not different when the same or a different portion of the tumor tissue was analyzed or when DCIS and/or normal tissue was included in the sample subjected to mRNA assays. This is the first large analysis to assess the discordance rate between protein and mRNA analysis of breast cancer markers, and to look into intratumoral heterogeneity, DCIS, or normal tissue components as a potential cause of discordance. The observed difference between mRNA and protein assessment for PgR and HER-2 needs further research; the present analysis does not support intratumoral heterogeneity or the DCIS and normal tissue components being likely causes of the discordance. [ABSTRACT FROM AUTHOR]

Background: Gaps in RW evidence exist regarding pts' and healthcare professionals' (HCPs) perspectives on SEs impacting QOL. Previously, RW survey results showed disconnects between pts with ABC and HCPs on the importance of QOL discussions (Cardoso, SABCS 2021). Objective: To examine how SEs impacting QOL in pts with ABC are perceived. Methods: The survey was designed by a committee of oncologists, nurses, advocates, and pts. After ethical approval, data were collected from July 2020 to May 2021 via a cross-sectional online survey of oncologists, nurses, and pts with HR+/ HER2-- ABC in 7 countries. HCPs and pts were surveyed on the impact of SEs on QOL and HCP interactions. Observations were assessed using a 4-point Likert scale. Results: The survey was completed by 467 pts and 502 HCPs. Most pts and HCPs believed fear of progression (76% and 92%, respectively) and pain (73% and 96%) had a moderate/severe impact on QOL. The most common SEs experienced by pts since starting ABC tx or their current tx were fatigue (73% and 64%) and pain (64% and 42% [back pain]). Fatigue relieved by rest was believed to have a moderate/severe impact on QOL more so by pts (78%) than HCPs (40%). Most pts did not discuss SEs with HCPs (79% for fatigue, 74% for pain) until these were moderate/severe. Pts reported that insomnia (83%), anxiety (82%), back pain (78%), fatigue (77%), and diarrhea (71%) had a moderate/severe impact on their QOL. Pts were least willing to live with back pain (52%), fatigue (42%), diarrhea (41%), and loss of appetite (41%) even if tx was working. In pts on a CDK4/6 inhibitor, 83% experienced ≥1 moderate/severe SE, with insomnia (85%), diarrhea (75%), back pain (75%), and fatigue (74%) having a moderate/severe impact on QOL. Conclusions: Pts with ABC and HCPs were generally aligned on SEs that severely impacted QOL, but HCPs may undervalue the impact of mild SEs on pts. Fatigue and pain were the most common SEs experienced by pts. In pts on a CDK4/6 inhibitor, insomnia, diarrhea, back pain, and fatigue had a moderate/severe impact on QOL. These data support close monitoring, early intervention, and when indicated, prophylaxis of SEs that may greatly impact QOL in pts with ABC. Improved HCP, pt, and pt navigator awareness of these mild SEs could facilitate earlier communication of these events with HCPs, thereby enhancing pt QOL. Funding: This study was sponsored by Novartis Pharma AG. This abstract was previously presented at ESMO Breast Cancer 2022 (Fatima Cardoso et al, FPN [Final Publication Number] 178P) and is reused with permission from ESMO and all authors. [ABSTRACT FROM AUTHOR]

Purpose. Following the demonstrated efficacy and safety of eribulin mesylate in heavily pretreated patients with metastatic breast cancer, an exploratory analysis was performed to investigate the effect of age in these patients. Methods. Data were pooled from two single-arm phase II studies and one open-label randomized phase III study in which patients received eribulin mesylate at 1.4 mg/m2 as 2- to 5-minute intravenous infusions on days 1 and 8 of a 21-day cycle. The effect of age on median overall survival (OS), progression-free survival (PFS), overall response rate (ORR), clinical benefit rate (CBR), and incidence of adverse events (AEs) was calculated for four age groups (<50 years, 50-59 years, 60-69 years, ≥70 years). Results. Overall, 827 patients were included in the analysis (<50 years, n = 253; 50-59 years, n = 289; 60-69 years, n = 206; ≥70 years, n = 79). Age had no significant impact on OS (11.8 months, 12.3 months, 11.7 months, and 12.5 months, respectively; p = .82), PFS (3.5 months, 2.9 months, 3.8 months, and 4.0 months, respectively; p = .42), ORR (12.7%, 12.5%, 6.3%, and 10.1%, respectively), or CBR (20.2%, 20.8%, 20.4%, and 21.5%, respectively). Although some AEs had higher incidence in either the youngest or the oldest subgroup, there was no overall effect of age on the incidence of AEs (including neuropathy, neutropenia, and leukopenia). Conclusion. Eribulin monotherapy in these selected older patients with good baseline performance status led to OS, PFS, ORR, CBR, and tolerability similar to those of younger patients with metastatic breast cancer. The benefits and risks of eribulin appear to be similar across age groups. [ABSTRACT FROM AUTHOR]

Urban storm water runoff poses a substantial threat of pollution to receiving surface waters. Green infrastructure, low impact development, green building ordinances, National Pollutant Discharge Elimination System (NPDES) storm water permit compliance, and Total Maximum Daily Load (TMDL) implementation strategies have become national priorities; however, designers need more sustainable, low-cost solutions to meet these goals and guidelines. The objective of this study was to determine the multiple-event removal efficiency and capacity of compost filter socks (FS) and filter socks with natural sorbents (NS) to remove soluble phosphorus, ammonium-nitrogen, nitrate-nitrogen, E. coli, Enterococcus, and oil from urban storm water runoff. Treatments were exposed to simulated storm water pollutant concentrations consistent with urban runoff originating from impervious surfaces, such as parking lots and roadways. Treatments were exposed to a maximum of 25 runoff events, or when removal efficiencies were ≤ 25%, whichever occurred first. Experiments were conducted in triplicate. The filter socks with natural sorbents removed significantly greater soluble phosphorus than the filter socks alone, removing a total of 237 mg/linear m over eight runoff events, or an average of 34%. The filter socks with natural sorbents removed 54% of ammonium-nitrogen over 25 runoff events, or 533 mg/linear m, and only 11% of nitrate-nitrogen, or 228 mg/linear m. The filter socks and filter socks with natural sorbents both removed 99% of oil over 25 runoff events, or a total load of 38,486 mg/linear m. Over 25 runoff events the filter socks with natural sorbents removed E. coli and Enteroccocus at 85% and 65%, or a total load of 3.14 CFUs x 108/ linear m and 1.5 CFUs x 109/linear m, respectively; both were significantly greater than treatment by filter socks alone. Based on these experiments, this technique can be used to reduce soluble pollutants from storm water over multiple runoff events. [ABSTRACT FROM AUTHOR]

Steroid sulfatase (STS) inhibition may have a therapeutic role in suppression of endocrine-responsive breast cancer. This study aimed to determine the optimal biological dose and recommended dose (RD) of the STS inhibitor irosustat. A three-part, open-label, multicenter, dose escalation study of irosustat in estrogen receptor-positive breast cancer patients involved administration of a single dose of irosustat with a 7-day observation period; followed by a daily oral dose of irosustat for 28 days; and an extension phase, in which the daily oral dose of irosustat was continued at the discretion of the investigator and as long as the patient was benefitting from the treatment. Five doses of irosustat were tested (1, 5, 20, 40, and 80 mg) in 50 patients. After 28 days of daily administration of irosustat, all the evaluated patients in the 5, 20, 40, and 80 mg cohorts achieved ≥95 % STS inhibition in peripheral blood mononuclear cells and corresponding endocrine suppression. The maximum tolerated dose was not reached, and the 40 mg dose was established as the RD. The median time to disease progression in the 40 mg cohort was 11.2 weeks. Disease stabilization was achieved in 10 % of patients potentially indicative of drug activity. Dry skin was the most frequent adverse event. The RD of irosustat is 40 mg. Disease stabilization occurred in 10 % of this heavily pretreated patient population. A larger study is required to define an accurate response rate to irosustat as a single agent and whether co-administration with an aromatase inhibitor is needed. [ABSTRACT FROM AUTHOR]

Endocrine therapy for breast cancer may affect cognition. The purpose of this study was to examine whether cognitive function improves after cessation of adjuvant endocrine therapy. Change in cognitive function was assessed in 100 postmenopausal breast cancer patients in the BIG 1-98 trial, who were randomized to receive 5 years of adjuvant tamoxifen or letrozole alone or in sequence. Cognitive function was evaluated by computerized tests during the fifth year of trial treatment (Y5) and 1 year after treatment completion (Y6). Cognitive test scores were standardized according to age-specific norms and the change assessed using the Wilcoxon signed-rank test. There was significant improvement in the composite cognitive function score from Y5 to Y6 (median of change = 0.22, effect size = 0.53, P < 0.0001). This improvement was consistent in women taking either tamoxifen or letrozole at Y5 ( P = 0.0006 and P = 0.0002, respectively). For postmenopausal patients who received either adjuvant letrozole or tamoxifen alone or in sequence, cognitive function improved after cessation of treatment. [ABSTRACT FROM AUTHOR]

To determine the feasible dose and schedule for everolimus, an oral mTOR inhibitor, combined with vinorelbine and trastuzumab for patients with HER2-overexpressing metastatic breast cancer pretreated with trastuzumab. In this phase Ib multicenter, Bayesian dose-escalation study, 50 patients received everolimus 5 mg/day, 20 mg/week, or 30 mg/week plus vinorelbine (25 mg/m on day 1 and 8 every 3 weeks) and trastuzumab (2 mg/kg weekly). Endpoints included end-of-cycle-1 dose-limiting toxicity (DLT) rate (primary endpoint), safety, relative dose intensity, overall response rate (ORR), and pharmacokinetics. Grade 3/4 neutropenia was the most common end-of-cycle-1 DLT and occurred in 10 of 30 and 4 of 14 patients in the 5 mg/day and 30 mg/week cohorts, respectively. Other end-of-cycle-1 DLTs included single cases of febrile neutropenia, grade 3 stomatitis with concomitant fatigue, grade 2 stomatitis, grade 3 anorexia, and grade 2 acneiform dermatitis, all in the 5-mg/day cohort. Based on the recorded DLTs and global safety, everolimus 5 mg/day and 30 mg/week were chosen as the optimal dose levels for the daily and weekly arms. Forty-seven patients were evaluable for efficacy. ORR was 19.1%, with a disease control rate of 83.0% and median progression-free survival of 30.7 weeks. No drug interaction was observed between everolimus and vinorelbine. Everolimus combined with weekly vinorelbine and trastuzumab generally was well tolerated and had encouraging antitumor activity in heavily pretreated patients with HER2-overexpressing metastatic breast cancer that progressed on trastuzumab (NCT00426530). [ABSTRACT FROM AUTHOR]

The Faslodex Investigation of Dose evaluation in Estrogen Receptor-positive advanced breast cancer (FINDER)2 study evaluated the efficacy, safety, and pharmacokinetics (PK) of three fulvestrant dosing regimens. FINDER2 enrolled Western postmenopausal women recurring or progressing after prior endocrine therapy. Primary endpoint: objective response rate (ORR); secondary endpoints: time to progression (TTP), clinical benefit rate (CBR), tolerability, and PK parameters. Patients were randomized to receive fulvestrant: 250 mg/month (approved dose [AD]); 250 mg plus loading dose (loading dose [LD]; 500 mg on day 0, 250 mg on days 14, 28, and monthly thereafter); or 500 mg (high dose [HD]; 500 mg/month plus 500 mg on day 14 of Month 1). Treatment continued until disease progression or discontinuation. 144 patients were randomized: fulvestrant AD ( n = 47); LD ( n = 51); HD ( n = 46). ORRs were: 8.5% (95% confidence interval [CI]: 2.4, 20.4%), 5.9% (1.2, 16.2%), and 15.2% (6.3, 28.9%) in the AD, LD, and HD arms, respectively. CBRs were: 31.9% (95% CI: 19.1, 47.1%), 47.1% (32.9, 61.5%), and 47.8% (32.9, 63.1%) for the AD, LD, and HD arms, respectively. Median TTP (months) was numerically longer for HD (6.0) and LD (6.1) versus AD (3.1). Tolerability was similar across dosing regimens. Steady-state plasma fulvestrant concentrations were predictable and achieved earlier with LD and HD. While there appeared to be a trend toward improved efficacy with HD and LD versus AD, no significant differences could be shown. A parallel study (FINDER1) has reported similar findings in Japanese patients. [ABSTRACT FROM AUTHOR]

A distinctive subset of metastatic breast cancer (MBC) is oligometastatic disease, which is characterized by single or few detectable metastatic lesions. The existing treatment guidelines for patients with localized MBC include surgery, radiotherapy, and regional chemotherapy. The European School of Oncology–Metastatic Breast Cancer Task Force addressed the management of these patients in its first consensus recommendations published in 2007. The Task Force endorsed the possibility of a more aggressive and multidisciplinary approach for patients with oligometastatic disease, stressing also the need for clinical trials in this patient population. At the sixth European Breast Cancer Conference, held in Berlin in March 2008, the second public session on MBC guidelines addressed the controversial issue of whether MBC can be cured. In this commentary, we summarize the discussion and related recommendations regarding the available therapeutic options that are possibly associated with cure in these patients. In particular, data on local (surgery and radiotherapy) and chemotherapy options are discussed. Large retrospective series show an association between surgical removal of the primary tumor or of lung metastases and improved long-term outcome in patients with oligometastatic disease. In the absence of data from prospective randomized studies, removal of the primary tumor or isolated metastatic lesions may be an attractive therapeutic strategy in this subset of patients, offering rapid disease control and potential for survival benefit. Some improvement in outcome may also be achieved with optimization of systemic therapies, possibly in combination with optimal local treatment. [ABSTRACT FROM PUBLISHER]

Purpose The 70-gene prognosis-signature has shown to be a valid prognostic tool in node-negative breast cancer. Although axillary lymph node status is considered to be one of the most important prognostic factors, still 25–30% of node-positive breast cancer patients will remain free of distant metastases, even without adjuvant systemic therapy. We therefore investigated whether the 70-gene prognosis-signature can accurately identify patients with 1–3 positive lymph nodes who have an excellent disease outcome. Methods Frozen tumour samples from 241 patients with operable T1-3 breast cancer, and 1–3 positive axillary lymph nodes, with a median follow-up of 7.8 years, were selected from 2 institutes. Using a customized microarray, tumour samples were analysed for the 70-gene tumour expression signature. In addition, we reanalysed part of a previously described cohort ( n = 106) with extended follow-up. Results The 10-year distant metastasis-free (DMFS) and breast cancer specific survival (BCSS) probabilities were 91% (SE 4%) and 96% (SE 2%), respectively for the good prognosis-signature group (99 patients), and 76% (SE 4%) and 76% (SE 4%), respectively for the poor prognosis-signature group (142 patients). The 70-gene signature was significantly superior to the traditional prognostic factors in predicting BCSS with a multivariate hazard ratio (HR) of 7.17 (95% CI 1.81 to 28.43; P = 0.005). Conclusions The 70-gene prognosis-signature outperforms traditional prognostic factors in predicting disease outcome in patients with 1–3 positive nodes. Moreover, the signature can accurately identify patients with an excellent disease outcome in node-positive breast cancer, who may be safely spared adjuvant chemotherapy. [ABSTRACT FROM AUTHOR]

Compared with treatment options for early-stage breast cancer, few data exist regarding the optimal use of chemotherapy for metastatic breast cancer (MBC). The choice of using a combination of cytotoxic chemotherapies vs sequential single agents is controversial. At the 6th European Breast Cancer Conference, the European School of Oncology Metastatic Breast Cancer Task Force convened an open debate on the relative benefits of combination vs sequential therapy. Based on the available data, the Task Force recommends sequential monotherapy as the preferred choice in advanced disease, in the absence of rapid clinical progression, life-threatening visceral metastases, or the need for rapid symptom and/or disease control. Patient- and disease-related factors should be used to choose between combination and sequential single-agent chemotherapy for MBC. Additional research is needed to determine the impact of therapy on patient-rated quality of life and to identify predictive factors that can be used to guide therapy. [ABSTRACT FROM AUTHOR]

Compared with treatment options for early-stage breast cancer, few data exist regarding the optimal use of chemotherapy for metastatic breast cancer (MBC). The choice of using a combination of cytotoxic chemotherapies vs sequential single agents is controversial. At the 6th European Breast Cancer Conference, the European School of Oncology Metastatic Breast Cancer Task Force convened an open debate on the relative benefits of combination vs sequential therapy. Based on the available data, the Task Force recommends sequential monotherapy as the preferred choice in advanced disease, in the absence of rapid clinical progression, life-threatening visceral metastases, or the need for rapid symptom and/or disease control. Patient- and disease-related factors should be used to choose between combination and sequential single-agent chemotherapy for MBC. Additional research is needed to determine the impact of therapy on patient-rated quality of life and to identify predictive factors that can be used to guide therapy. [ABSTRACT FROM PUBLISHER]

The article presents questions and answers related to breast cancer including how PARP inhibitors in Triple Negative Breast Cancer, insights about the use of Bevacizumab in Metastatic breast cancer and genomic signature and early breast cancer.

Background: During the last years, several groups have identified prognostic gene expression signatures with apparently similar performances. However, signatures were never compared on an independent population of untreated breast cancer patients, where risk assessment was computed using the original algorithms and microarray platforms. Results: We compared three gene expression signatures, the 70-gene, the 76-gene and the Gene expression Grade Index (GGI) signatures, in terms of predicting distant metastasis free survival (DMFS) for the individual patient. To this end, we used the previously published TRANSBIG independent validation series of node-negative untreated primary breast cancer patients. We observed agreement in prediction for 135 of 198 patients (68%) when considering the three signatures. When comparing the signatures two by two, the agreement in prediction was 71% for the 70- and 76-gene signatures, 76% for the 76-gene signature and the GGI, and 88% for the 70-gene signature and the GGI. The three signatures had similar capabilities of predicting DMFS and added significant prognostic information to that provided by the classical parameters. Conclusion: Despite the difference in development of these signatures and the limited overlap in gene identity, they showed similar prognostic performance, adding to the growing evidence that these prognostic signatures are of clinical relevance. [ABSTRACT FROM AUTHOR]

Abstract: One of the main challenges in oncology today has become to distinguish accurately between those patients who need adjuvant treatment and those who do not. This, together with the identification of the best type of therapy for the individual patient and the development of drugs targeting specific characteristics of tumour cells, are the goals of treatment tailoring or personalized medicine. The MINDACT trial (Microarray In Node negative Disease may Avoid ChemoTherapy) was recently launched with the aim of prospectively validating the superior performance of a new prognostic RNA-based tool – the Amsterdam 70-gene profiler MammaPrint™, in order to implement its use in clinical practice later on. This manuscript shortly reviews the rational, design and logistics of MINDACT. [Copyright &y& Elsevier]

Over the last decades, the introduction of several new agents into clinical practice has significantly improved disease control and obtained some, albeit rare, survival benefits in metastatic breast cancer (MBC). Despite these results, the choice of treatment for the majority of patients is still empirically based, since the only two predictive factors with level 1 evidence for clinical use are hormonal receptor status for endocrine therapy and HER-2 status for trastuzumab therapy. Important improvements in the endocrine therapy of both pre- and postmenopausal women with hormone-responsive disease have been achieved. For premenopausal women, ovarian function suppression with luteinizing hormone-releasing hormone analogs combined with tamoxifen has become the standard treatment, although aromatase inhibitors plus ovarian function suppression are under evaluation. In postmenopausal patients, aromatase inhibitors have proved to be superior to standard endocrine therapies in either first- or second-line treatment and a novel antiestrogen compound, fulvestrant, has been introduced in clinical practice. Chemotherapy remains the treatment of choice for hormone unresponsive or resistant patients. Anthracyclines and taxanes have been used either alone or in combination as first-line chemotherapy, but with the more frequent use of these agents in the adjuvant setting, new standards are needed for first-line chemotherapy, and new and more efficacious treatments are required. In the subgroup of patients with tumors that overexpress HER-2, the use of trastuzumab alone or in combination with chemotherapy has modified the natural history of these tumors, even if only about one out of two patients obtains a clinical response. In this review we summarize the main achievements and the currently available treatment options for patients with MBC. [ABSTRACT FROM AUTHOR]

Background: The increasing use of DNA microarrays in biomedical research, toxicogenomics, pharmaceutical development, and diagnostics has focused attention on the reproducibility and reliability of microarray measurements. While the reproducibility of microarray gene expression measurements has been the subject of several recent reports, there is still a need for systematic investigation into what factors most contribute to variability of measured expression levels observed among different laboratories and different experimenters. Results: We report the results of an interlaboratory comparison of gene expression array measurements on the same microarray platform, in which the RNA amplification and labeling, hybridization and wash, and slide scanning were each individually varied. Identical input RNA was used for all experiments. While some sources of variation have measurable influence on individual microarray signals, they showed very low influence on sample-to-reference ratios based on averaged triplicate measurements in the two-color experiments. RNA labeling was the largest contributor to interlaboratory variation. Conclusion: Despite this variation, measurement of one particular breast cancer gene expression signature in three different laboratories was found to be highly robust, showing a high intralaboratory and interlaboratory reproducibility when using strictly controlled standard operating procedures. [ABSTRACT FROM AUTHOR]

Background: A 70-gene signature was previously shown to have prognostic value in patients with node-negative breast cancer. Our goal was to validate the signature in an independent group of patients. Methods: Patients (n = 307, with 137 events after a median follow-up of 13.6 years) from five European centers were divided into high- and low-risk groups based on the gene signature classification and on clinical risk classifications. Patients were assigned to the gene signature low-risk group if their 5-year distant metastasis-free survival probability as estimated by the gene signature was greater than 90%. Patients were assigned to the clinicopathologic low-risk group if their 10-year survival probability, as estimated by Adjuvant! software, was greater than 88% (for estrogen receptor FERI-positive patients) or 92% (for ER- negative patients). Hazard ratios (HRs) were estimated to compare time to distant metastases, disease-free survival, and overall survival in high- versus low-risk groups. Results: The 70-gene signature outperformed the clinicopathologic risk assessment in predicting all endpoints. For time to distant metastases, the gene signature yielded HR = 2.32 (95% confidence interval [CII = 1.35 to 4.00) without adjustment for clinical risk and hazard ratios ranging from 2.13 to 2.15 after adjustment for various estimates of clinical risk; clinicopathologic risk using Adjuvant! software yielded an unadjusted HR = 1.68(95% CI = 0.92 to 3.07). For overall survival, the gene signature yielded an unadjusted HR = 2.79 (95% CI = 1.60 to 4.87) and adjusted hazard ratios ranging from 2.63 to 2.89; clinicopathologic risk yielded an unadjusted HR = 1.67 (95% CI = 0.93 to 2.98). For patients in the gene signature high-risk group, 10-year overall survival was 0.69 for patients in both the low- and high-clinical risk groups; for patients in the gene signature low-risk group, the 10-year survival rates were 0.88 and 0.89, respectively. Conclusions: The 70-gene signature adds independent prognostic information to clinicopathologic risk assessment for patients with early breast cancer. [ABSTRACT FROM AUTHOR]

For many years, tamoxifen was the mainstay of treatment for hormone receptor-positive metastatic breast cancer (MBC). However, in recent years, newer endocrine agents, particularly aromatase inhibitors, have consistently proved their superiority over tamoxifen by improving clinical outcomes. These agents have therefore been incorporated into first-line treatment strategies for endocrine-responsive disease. The chemotherapeutic armamentarium has also been enriched with new agents and combinations that have played a role in improving breast cancer survival in recent decades. However, few chemotherapy clinical trials have claimed a clear survival benefit of one regimen over another. More recently, the development of biologic agents has further widened the spectrum of available therapies. Among these, trastuzumab, a monoclonal antibody against human epidermal growth factor receptor 2 (HER2), has significantly altered the lives of patients with HER2-positive MBC.The transfer of research findings to clinical practice is a delicate process that implies the ability to adequately tailor evidence obtained from well designed clinical trials to the individual patient. This article discusses landmark studies in the treatment of MBC, with emphasis on those treatments used as ‘first-line’ therapy following relapse. [ABSTRACT FROM AUTHOR]

Background: Histologic grade in breast cancer provides clinically important prognostic information. However, 30%–60% of tumors are classified as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profiles of breast cancers and whether such profiles could be used to improve histologic grading. Methods: We analyzed microarray data from 189 invasive breast carcinomas and from three published gene expression datasets from breast carcinomas. We identified differentially expressed genes in a training set of 64 estrogen receptor (ER)-positive tumor samples by comparing expression profiles between histologic grade 3 tumors and histologic grade 1 tumors and used the expression of these genes to define the gene expression grade index. Data from 597 independent tumors were used to evaluate the association between relapse-free survival and the gene expression grade index in a Kaplan-Meier analysis. All statistical tests were two-sided. Results: We identified 97 genes in our training set that were associated with histologic grade; most of these genes were involved in cell cycle regulation and proliferation. In validation datasets, the gene expression grade index was strongly associated with histologic grade 1 and 3 status; however, among histologic grade 2 tumors, the index spanned the values for histologic grade 1–3 tumors. Among patients with histologic grade 2 tumors, a high gene expression grade index was associated with a higher risk of recurrence than a low gene expression grade index (hazard ratio = 3.61, 95% confidence interval = 2.25 to 5.78; P<.001, log-rank test). Conclusions: Gene expression grade index appeared to reclassify patients with histologic grade 2 tumors into two groups with high versus low risks of recurrence. This approach may improve the accuracy of tumor grading and thus its prognostic value. [ABSTRACT FROM AUTHOR]