Personalized therapy in breast cancer

Systemic treatment of non-metastatic breast cancer is based on endocrine therapy, cytotoxic chemotherapy, and molecular targeted therapy - with the major problems of immense overtreatment of patients who would not relapse without systemic therapy and the failure of treatment in others whose disease still recurs. These deficits can only be overcome by the identification of new and better prognostic and predictive markers. Currently, adjuvant treatment stratification is based on a limited number of established factors, namely locoregional tumour stage, age, grade, expression of hormone receptors, HER2, and Ki-67. Molecular profiling techniques, however, have revolutionized our understanding of breast cancer as a heterogeneous disease. Future results from even more comprehensive genetic analyses as part of the coordinated cancer genome projects will help to develop better treatment stratifications and new therapeutic approaches. Efforts to realize the dream of a personalized treatment for breast cancer will include drug development and intelligent design of trials for increasingly small subgroups of patients with specific host and disease characteristics. This will only be made possible by a strong cooperation between basic researchers and translational scientists, clinicians, as well as academia and industry

Evaluating the predictive value of biomarkers for efficacy outcomes in response to pertuzumab- and trastuzumab-based therapy: an exploratory analysis of the TRYPHAENA study

Introduction: Molecular markers that predict responses to particular therapies are invaluable for optimization of patient treatment. The TRYPHAENA study showed that pertuzumab and trastuzumab with chemotherapy was an efficacious and tolerable combination for patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer in the neoadjuvant setting. We analyzed whether particular biomarkers correlated with the responses observed and therefore may predict outcomes in patients given pertuzumab plus trastuzumab. Methods: We describe the analysis of a panel of biomarkers including HER2, human epidermal growth factor receptor 3 (HER3), epidermal growth factor receptor (EGFR), phosphatase and tensin homolog (PTEN), and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) by qRT-PCR, immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), and PCR-based mutational analyses as appropriate. For each marker analyzed, patients were categorized into ‘low’ (generally below median) or ‘high’ (generally above median) subgroups at baseline and post-treatment. Results: Correlation of marker subgroups with the achievement of a pathological complete response (pCR) (ypT0/is) was analyzed. HER2 protein and mRNA expression levels were associated with pCR rate in two of the three study arms and the pooled analyses. Correlations of biomarker status with pCR occurred in one individual arm only and the pooled analyses with EGFR and PTEN; however, interpretation of these results is limited by a strong imbalance in patient numbers between the high and low subgroups and inconsistency between arms. We also found no association between expression levels of TOP2A and pCR rate in either the anthracycline-containing or free arms of TRYPHAENA. Conclusions: According to these analyses, and in line with other analyses of pertuzumab and trastuzumab in the neoadjuvant setting, we conclude that HER2 expression remains the only marker suitable for patient selection for this regimen at present. Trial registration: The TRYPHAENA study was registered with ClinicalTrials.gov, NCT00976989, on September 14 2009

In silico SNP analysis of the breast cancer antigen NY-BR-1

Background: Breast cancer is one of the most common malignancies with increasing incidences every year and a leading cause of death among women. Although early stage breast cancer can be effectively treated, there are limited numbers of treatment options available for patients with advanced and metastatic disease. The novel breast cancer associated antigen NY-BR-1 was identified by SEREX analysis and is expressed in the majority (>70%) of breast tumors as well as metastases, in normal breast tissue, in testis and occasionally in prostate tissue. The biological function and regulation of NY-BR-1 is up to date unknown. Methods: We performed an in silico analysis on the genetic variations of the NY-BR-1 gene using data available in public SNP databases and the tools SIFT, Polyphen and Provean to find possible functional SNPs. Additionally, we considered the allele frequency of the found damaging SNPs and also analyzed data from an in-house sequencing project of 55 breast cancer samples for recurring SNPs, recorded in dbSNP. Results: Over 2800 SNPs are recorded in the dbSNP and NHLBI ESP databases for the NY-BR-1 gene. Of these, 65 (2.07%) are synonymous SNPs, 191 (6.09%) are non-synoymous SNPs, and 2430 (77.48%) are noncoding intronic SNPs. As a result, 69 non-synoymous SNPs were predicted to be damaging by at least two, and 16 SNPs were predicted as damaging by all three of the used tools. The SNPs rs200639888, rs367841401 and rs377750885 were categorized as highly damaging by all three tools. Eight damaging SNPs are located in the ankyrin repeat domain (ANK), a domain known for its frequent involvement in protein-protein interactions. No distinctive features could be observed in the allele frequency of the analyzed SNPs. Conclusion: Considering these results we expect to gain more insights into the variations of the NY-BR-1 gene and their possible impact on giving rise to splice variants and therefore influence the function of NY-BR-1 in healthy tissue as well as in breast cancer

Employment status and desire for work in severe mental illness: results from an observational, cross-sectional study

PURPOSE: People with a severe mental illness (SMI) are at particular risk of occupational exclusion. Among the approaches to occupational rehabilitation, supported employment (SE) has been proven to be the most effective. A requirement to enter SE-programs is that individuals must want to seek competitive employment. The aim of this work is to investigate the relationship between serious mental illness and the desire to work including potential predictors. METHODS: This is a cross-sectional observational study of patients with SMI aged 18–65 years (n = 397). Patients were interviewed by trained staff using standardised instruments. The relationship between potential predictors and a strong preference for employment were analysed using a hierarchic binary logistic regression model. RESULTS: Only about one-quarter (27.9%) of SMI patients is in competitive employment. Another quarter is unemployed (25.9%). Results show that the desire for competitive employment is strong among more than half of the SMI patients. Among the unemployed, two-thirds express a strong desire for work. These individuals are an ideal target group for SE interventions. Comorbid chronic physical illness, diagnosis, and the subjectively judged ability to work are associated with the desire for work. CONCLUSION: Our data confirm a substantial exclusion of individuals with SMI from the workforce. In general, care needs for workplace interventions are not being met and leave much room for improvement. In addition to employment status, the desire for work should be routinely assessed. STUDY REGISTRATION: The study was registered in the German Clinical Trials Register (DRKS) (https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015801) and under the WHO-Platform “International Clinical Trials Registry Platform” (ICTRP) (https://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00015801) under the registration number DRKS00015801 before the start of recruitment (Registration date: 21.02.2019)

Predictors of competitive employment in individuals with severe mental illness: results from an observational, cross-sectional study in Germany

BACKGROUND: Employment is of great importance as it is associated with various positive effects. Individuals with severe mental illness (SMI) are often excluded from competitive employment. Current data on employment of individuals with mental illness are rare, and influencing factors are under-researched. The present study examines possible predictors of competitive employment among individuals with SMI. METHODS: This was a cross-sectional and multicentered study of 300 individuals with SMI aged 18 to 65 years. The following inclusion criteria were used: (I) diagnosis of schizophrenia, schizotypal and delusional disorders (ICD-10 F2x), or affective disorders (ICD-10 F3x), (II) duration of psychiatric illness ≥ 2 years, and (III) substantial impact of illness on social functioning. Participants were interviewed by trained staff using standardised instruments. The relationship between potential predictors (age, sex, education, marital status, living situation, migration background, psychosocial functioning, age at first mental problem, physical illness, work ability) and employment was analysed using a hierarchic binary logistic regression model. RESULTS: Only one-third (34%) of participants were competitively employed. Almost one-third were unemployed (30%), and 28% reported early retirement due to mental illness. Psychosocial functioning was positively associated with competitive employment (OR = 1.09, 95% CI: 1.05 – 1.13, p < 0.001); concurrent chronic physical illness was negatively associated with competitive employment (OR = 0.38, 95% CI: 0.21 – 0.71, p = 0.002). CONCLUSIONS: Findings confirm a high risk of exclusion from competitive employment among individuals with SMI. Nonetheless, a substantial proportion of individuals are employed. Findings call for efforts to maintain or enhance workforce participation among individuals with SMI. A special focus should be placed on improving physical health and strengthening psychosocial functioning. TRIAL REGISTRATION: The study was registered in the German Clinical Trials Register (DRKS) under the registration number DRKS00015801 before the start of recruitment (Registration date: 21.02.2019)

The role of migration in mental healthcare: treatment satisfaction and utilization

Migration rates increase globally and require an adaption of national mental health services to the needs of persons with migration background. Therefore, we aimed to identify differences between persons with and without migratory background regarding (1) treatment satisfaction, (2) needed and received mental healthcare and (3) utilization of mental healthcare. In the context of a cross-sectional multicenter study, inpatients and day hospital patients of psychiatric settings in Southern Germany with severe affective and non-affective psychoses were included. Patients’ satisfaction with and their use of mental healthcare services were assessed by VSSS-54 and CSSRI-EU; patients’ needs were measured via CAN-EU. In total, 387 participants (migratory background: n = 72; 19%) provided sufficient responses for analyses. Migrant patients were more satisfied with the overall treatment in the past year compared to non-migrant patients. No differences between both groups were identified in met and unmet treatment needs and use of supply services (psychiatric, psychotherapeutic, and psychosocial treatment). Despite a comparable degree of met and unmet treatment needs and mental health service use among migrants and non-migrants, patients with migration background showed higher overall treatment satisfaction compared to non-migrants. The role of sociocultural and migrant-related factors may explain our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03722-8

The influence of obesity on survival in early, high-risk breast cancer: results from the randomized SUCCESS A trial

Introduction: Obese breast cancer patients have worse prognosis than normal weight patients, but the level at which obesity is prognostically unfavorable is unclear. Methods: This retrospective analysis was performed using data from the SUCCESS A trial, in which 3754 patients with high-risk early breast cancer were randomized to anthracycline- and taxane-based chemotherapy with or without gemcitabine. Patients were classified as underweight/normal weight (body mass index (BMI) < 25.0), overweight (BMI 25.0–29.9), slightly obese (BMI 30.0–34.9), moderately obese (BMI 35.0–39.9) and severely obese (BMI ≥ 40.0), and the effect of BMI on disease-free survival (DFS) and overall survival (OS) was evaluated (median follow-up 65 months). In addition, subgroup analyses were conducted to assess the effect of BMI in luminal A-like, luminal B-like, HER2 (human epidermal growth factor 2)-positive and triple-negative tumors. Results: Multivariate analyses revealed an independent prognostic effect of BMI on DFS (p = 0.001) and OS (p = 0.005). Compared with underweight/normal weight patients, severely obese patients had worse DFS (hazard ratio (HR) 2.70, 95 % confidence interval (CI) 1.71–4.28, p < 0.001) and OS (HR 2.79, 95 % CI 1.63–4.77, p < 0.001), while moderately obese, slightly obese and overweight patients did not differ from underweight/normal weight patients with regard to DFS or OS. Subgroup analyses showed a similar significant effect of BMI on DFS and OS in patients with triple-negative breast cancer (TNBC), but not in patients with other tumor subtypes. Conclusions: Severe obesity (BMI ≥ 40) significantly worsens prognosis in early breast cancer patients, particularly for triple-negative tumors. Trial registration: Clinicaltrials.gov NCT02181101. Registered September 200

Prognosis of breast cancer molecular subtypes in routine clinical care: A large prospective cohort study

Background: In Germany, most breast cancer patients are treated in specialized breast cancer units (BCU), which are certified, and routinely monitored. Herein, we evaluate up-to-date oncological outcome of breast cancer (BC) molecular subtypes in routine clinical care of a specialized BCU. Methods: The study was a prospectively single-center cohort study of 4102 female cases with primary, unilateral, non-metastatic breast cancer treated between 01 January 2003 and 31 December 2012. The five routinely used molecular subtypes (Luminal A-like, Luminal B/HER2 negative-like, Luminal B/HER2 positive-like, HER2-type, Triple negative) were analyzed. The median follow-up time of the whole cohort was 55 months. We calculated estimates for local control rate (LCR), disease-free survival (DFS), distant disease-free survival (DDFS), overall survival (OS), and relative overall survival (ROS). Results: Luminal A-like tumors were the most frequent (44.7%) and showed the best outcome with LCR of 99.1% (95% CI 98.5; 99.7), OS of 95.1% (95% CI 93.7; 96.5), and ROS of 100.0% (95% CI 98.5; 101.5). Triple negative tumors (12.3%) presented the poorest outcome with LCR of 89.6% (95% CI 85.8; 93.4), OS of 78.5% (95% CI 73.8; 83.3), and ROS of 80.1% (95% CI 73.8; 83.2). Conclusions: Patients with a favorable subtype can expect an OS above 95% and an LCR of almost 100% over 5 years. On the other hand the outcome of patients with HER2 and Triple negative subtypes remains poor, thus necessitating more intensified research and care

Fachinformation und EDV-Arbeitstechniken für Historiker: Einführung und Arbeitsbuch

'Der Sammelband versucht, die Erfahrungen einzufangen, die von den Herausgebern in den vergangenen Jahren an der Humboldt-Universität zu Berlin in der studentischen EDV-Ausbildung und beim Aufbau vernetzter Informationsdienste für Historiker gemacht wurden. Es handelt sich weder um einen der üblichen Sammelbände noch um eine einfache Softwareeinführung, sondern um ein praktisches Arbeitsbuch für Studierende und Nachwuchswissenschaftler zu Fragen des EDV-Einsatzes in den Geschichtswissenschaften. Dabei stehen das 'Internet' bzw. der Einsatz der sogenannten 'Neuen Medien' im Mittelpunkt. Im ersten Kapitel wird zunächst das Verhältnis der EDV zu den Geisteswissenschaften geklärt. Dies schließt eine Einführung in die Geschichte der EDV und die Betrachtung der EDV-Einsatzfelder in den Geschichtswissenschaften zu den Themen Bibliotheken im Internet, Wissenschaftlicher Alltag und Lehre sowie spezielle historische Fachinformationsangebote ein. Im zweiten Kapitel wird näher auf die Grundlagen der Datenverarbeitung eingegangen. Dabei liegt neben dem PC- und Netzbasiswissen das Hauptaugenmerk auf dem Internet und seinen Diensten. Darauf aufbauend werden im dritten Kapitel ausgewählte Applikationen aus den Bereichen Textverarbeitung, Beschreibungs- und Skriptsprachen, Tabellenkalkulation, Datenanalyse & Datenbanksysteme sowie Grafik, Präsentation und Multimedia an historischen Beispielen in ihrem Funktionsumfang vorgestellt. Im abschließenden vierten Kapitel wird der EDV-Einsatz in den Geschichtswissenschaften an ausgewählten Projekten in Forschung und Lehre exemplarisch beschrieben.' (Autorenreferat