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Update Mammakarzinom 2018 (Teil 2) – fortgeschrittenes Mammakarzinom, Lebensqualität und Prävention
(2018)
Die Behandlung des metastasierten Mammakarzinoms hat bei immer neu zu testenden Therapien deutlich an Komplexität zugenommen. Therapien werden nunmehr nur noch für spezielle klinische oder molekulare Subgruppen entwickelt. Hierbei spielen die intrinsischen, molekularen Subtypen zwar immer noch die größte Rolle, jedoch gibt es zunehmend auch Therapien, die subgruppen- oder sogar histologieübergreifend entwickelt werden, wie z. B. der PARP-Inhibitor bei BRCA-mutierten Patientinnen (Mamma- und Ovarialkarzinom). Aber auch Supportivtherapien entwickeln sich weiter, sodass Probleme wie die Alopezie besser behandelt werden können und neue Therapiearten von Übelkeit und Erbrechen etabliert werden. In einem engen Zusammenhang mit den Supportivtherapien stehen die Nebenwirkungen, welche bei Patientinnen mit einem metastasierten Mammakarzinom einen direkten Einfluss auf die Prognose haben. Hier könnten digitale Werkzeuge helfen, um ein besseres Patientinnenmanagement zu etablieren. Diese Übersichtsarbeit soll diese Aspekte vor dem Hintergrund neuer, aktuell publizierter Studien beleuchten und einen Einblick geben, wie sich diese Studien zu etablierten Routinetherapien verhalten. Zusätzlich werden aktuelle Aspekte der Mammakarzinomprävention beleuchtet.
Beim primären, frühen Mammakarzinom zielt die Behandlungsplanung auf ein immer besseres Verständnis der Erkrankung ab. Die Identifikation von Patientinnen mit einer exzellenten Prognose könnte dieser Gruppe helfen, unnötige Therapien zu vermeiden. Weiterhin wird die Planung der Therapie immer weiter auf die Patientin abgestimmt. Das Wissen über Patientinnen, die besonders von einer Chemotherapie profitieren, wächst genauso wie das Wissen um Patientinnen, die von einer Immuntherapie profitieren könnten. Hinsichtlich der Immuntherapien stehen die durchgeführten Studien kurz vor der Publikation. Einzelne kleinere Studien bieten einen ersten Einblick in die Wirksamkeit der Checkpoint-Inhibitoren (Anti-PD1/PDL1-Therapien). Nicht zuletzt konnte kürzlich eine der größten Brustkrebsstudien aller Zeiten zu Ende geführt werden. Die Anwendung eines Multigentests konnte zeigen, dass er ausreicht, um Patientinnen mit einer so guten Prognose zu identifizieren, dass keine Chemotherapie nötig ist. Dieser Review-Artikel soll die aktuellen Studien zusammenfassen und einen Ausblick der gegenwärtigen Entwicklungen geben.
For many years, small but significant advancements have been made time and again in the prevention and treatment of early breast cancer. The so-called panel gene analyses are becoming more and more important in prevention, since the risk due to the tested genes is better understood and as a result, concepts for integration in health care can be developed. In the adjuvant situation, the first study in the so-called post-neoadjuvant situation was able to demonstrate a clear improvement in the prognosis with an absent pathological complete remission following trastuzumab or pertuzumab + trastuzumab. Additional studies with this post-neoadjuvant therapeutic concept are still being conducted at present. The CDK4/6 inhibitors which had shown a significant improvement in progression-free survival in a metastatic situation are currently being tested in the adjuvant situation in large therapeutic studies. These and other new data for the treatment or prevention of primary breast cancer are presented in this review against the backdrop of current studies.
The treatment of metastatic breast cancer has become more complicated due to increasing numbers of new therapies which need to be tested. Therapies are now being developed to treat special clinical or molecular subgroups. Even though intrinsic molecular subtypes play a major role, more and more new therapies for subgroups and histological subtypes are being developed, such as the use of PARP inhibitors to treat patients with BRCA mutations (breast and ovarian cancer). Supportive therapies are also evolving, allowing problems such as alopecia or nausea and vomiting to be treated more effectively. Treatment-related side effects have a direct impact on the prognosis of patients with metastatic breast cancer, and supportive therapy can improve compliance. Digital tools could be useful to establish better patient management systems. This overview provides an insight into recent trials and how the findings could affect routine treatment. Current aspects of breast cancer prevention are also presented.
In primary early breast cancer, the aim of treatment planning is to obtain an increasingly better understanding of the disease. The identification of patients with an excellent prognosis could help this group avoid unnecessary treatments. Furthermore, the planning of treatment is becoming increasingly patient-focussed. There is a growing understanding of those patients who benefit particularly from chemotherapy, as well as of those who could benefit from immunotherapy. Studies conducted on immunotherapies will be published shortly. Smaller individual studies offer an initial insight into the efficacy of checkpoint inhibitors (anti-PD1/PDL1 therapies). Not least, one of the largest breast cancer studies of all times has recently come to an end. The use of a multigene test has shown that it is sufficient to identify patients with such a good prognosis that chemotherapy is unnecessary. This review article is intended to summarise the current studies and give an outlook on current developments.
In dieser Übersichtsarbeit wird dargestellt, wie neue Therapien oder neue Aspekte etablierter Therapien in Zusammenhang mit neuesten, aktuellen Erkenntnissen stehen. Neoadjuvanz, Lokaltherapie, neue Aspekte der Systemtherapie und Prognose- sowie Prädiktivfaktoren werden beleuchtet. In der Neoadjuvanz ist nach wie vor der Zusammenhang zwischen pCR und Prognose von Interesse, ebenso wie neue molekulare Prädiktoren für neue Therapien wie CDK4/6-Inhibitoren zu identifizieren. Bei der operativen Behandlung wird weiter nach einer Reduktion der Aggressivität gestrebt. Insbesondere das duktale Carcinoma in situ muss dafür noch besser verstanden werden. Bei den Systemtherapien wächst die Datenlage zum Verständnis der besten Kombinationen und Therapieabläufe für bestehende Therapieverfahren. Letztendlich muss mithilfe von Prognose- und Prädiktivfaktoren vermieden werden, dass Übertherapien stattfinden und nur die Patientin spezifische Therapien erhält, welche bei dieser individuellen Patientin eine nachgewiesene Wirksamkeit mit wenig Nebenwirkungen haben.
Background: Breast cancer (BC) is the most frequent female cancer and preferentially metastasizes to bone. The transcription factor TGFB-induced factor homeobox 1 (TGIF) is involved in bone metabolism. However, it is not yet known whether TGIF is associated with BC bone metastasis or patient outcome and thus of potential interest. Methods: TGIF expression was analyzed by immunohistochemistry in 1197 formalin-fixed, paraffin-embedded tissue samples from BC patients treated in the GAIN (German Adjuvant Intergroup Node-Positive) study with two adjuvant dose-dense schedules of chemotherapy with or without bisphosphonate ibandronate. TGIF expression was categorized into negative/low and moderate/strong staining. Endpoints were disease-free survival (DFS), overall survival (OS) and time to primary bone metastasis as first site of relapse (TTPBM). Results: We found associations of higher TGIF protein expression with smaller tumor size (p= 0.015), well differentiated phenotype (p< 0.001) and estrogen receptor (ER)-positive BC (p< 0.001). Patients with higher TGIF expression levels showed a significantly longer disease-free (DFS: HR 0.75 [95%CI 0.59–0.95], log-rank p=0.019) and overall survival (OS: HR 0.69 [95%CI 0.50–0.94], log-rank p= 0.019), but no association with TTPBM (HR 0.77 [95%CI 0.51–1.16]; p= 0.213). Univariate analysis in molecular subgroups emphasized that elevated TGIF expression was prognostic for both DFS and OS in ER-positive BC patients (DFS: HR 0.68 [95%CI 0.51–0.91]; log-rank p= 0.009, interaction p= 0.130; OS: HR 0.60 [95%CI 0.41–0.88], log-rank p= 0.008, interaction p= 0.107) and in the HER2-negative subgroup (DFS:HR 0.67 [95%CI 0.50–0.88], log-rank p= 0.004, interaction p= 0.034; OS: HR 0.57 [95%CI 0.40–0.81], log-rank p= 0.002, interaction p= 0.015). Conclusions: Our results suggest that moderate to high TGIF expression is a common feature of breast cancer cells and that this is not associated with bone metastases as first site of relapse. However, a reduced expression is linked to tumor progression, especially in HER2-negative breast cancer.
Following publication of the original article, the authors noticed an incorrect affiliation for Christine Stürken and Udo Schumacher. The correct affiliations are as follows: Christine Stürken: Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany. Udo Schumacher: Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany. The affiliations have been correctly published in this correction and the original article has been updated.
Introduction: Current prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple negative breast cancers (TNBC) are clinically heterogeneous and prognostic markers and biology-based therapies are needed to better treat this disease.
Methods: We assembled Affymetrix gene expression data for 579 TNBC and performed unsupervised analysis to define metagenes that distinguish molecular subsets within TNBC. We used n = 394 cases for discovery and n = 185 cases for validation. Sixteen metagenes emerged that identified basal-like, apocrine and claudin-low molecular subtypes, or reflected various non-neoplastic cell populations, including immune cells, blood, adipocytes, stroma, angiogenesis and inflammation within the cancer. The expressions of these metagenes were correlated with survival and multivariate analysis was performed, including routine clinical and pathological variables.
Results: Seventy-three percent of TNBC displayed basal-like molecular subtype that correlated with high histological grade and younger age. Survival of basal-like TNBC was not different from non basal-like TNBC. High expression of immune cell metagenes was associated with good and high expression of inflammation and angiogenesis-related metagenes were associated with poor prognosis. A ratio of high B-cell and low IL-8 metagenes identified 32% of TNBC with good prognosis (hazard ratio (HR) 0.37, 95% CI 0.22 to 0.61; P < 0.001) and was the only significant predictor in multivariate analysis including routine clinicopathological variables.
Conclusions: We describe a ratio of high B-cell presence and low IL-8 activity as a powerful new prognostic marker for TNBC. Inhibition of the IL-8 pathway also represents an attractive novel therapeutic target for this disease.
Background: Current prognostic gene signatures for breast cancer mainly reflect proliferation status and have limited value in triple-negative (TNBC) cancers. The identification of prognostic signatures from TNBC cohorts was limited in the past due to small sample sizes.
Methodology/Principal Findings: We assembled all currently publically available TNBC gene expression datasets generated on Affymetrix gene chips. Inter-laboratory variation was minimized by filtering methods for both samples and genes. Supervised analysis was performed to identify prognostic signatures from 394 cases which were subsequently tested on an independent validation cohort (n = 261 cases).
Conclusions/Significance: Using two distinct false discovery rate thresholds, 25% and <3.5%, a larger (n = 264 probesets) and a smaller (n = 26 probesets) prognostic gene sets were identified and used as prognostic predictors. Most of these genes were positively associated with poor prognosis and correlated to metagenes for inflammation and angiogenesis. No correlation to other previously published prognostic signatures (recurrence score, genomic grade index, 70-gene signature, wound response signature, 7-gene immune response module, stroma derived prognostic predictor, and a medullary like signature) was observed. In multivariate analyses in the validation cohort the two signatures showed hazard ratios of 4.03 (95% confidence interval [CI] 1.71–9.48; P = 0.001) and 4.08 (95% CI 1.79–9.28; P = 0.001), respectively. The 10-year event-free survival was 70% for the good risk and 20% for the high risk group. The 26-gene signatures had modest predictive value (AUC = 0.588) to predict response to neoadjuvant chemotherapy, however, the combination of a B-cell metagene with the prognostic signatures increased its response predictive value. We identified a 264-gene prognostic signature for TNBC which is unrelated to previously known prognostic signatures.