Zusammenfassend lässt sich sagen, dass auch in dieser Studie die MRT bewiesen hat, dass sie eine Diagnostik ist, die aufgrund ihrer vielen Vorteile (röntgenstrahlenfrei, schmerzfrei, hochauflösende Diagnostik) der konventionellen Mammographie überlegen ist. Im Vergleich mit anderen diagnostischen Möglichkeiten, weist die MRT die höchsten Sensitivitäten auf. Viele falsch positive Befunde könnten so vermieden werden und unnötige Biopsien umgangen werden. Die MRT zeigte in dieser Studie eine Sensitivität von 78%, für reine DCIS 76%. Die in der präoperativen MR-Diagnostik gemessenen Größen korrelierten statistisch signifikant mit der histologisch bestimmten Größe für alle Gruppen (reines DCIS, begleitendes DCIS, mikroinvasives DCIS) zusammen genommen (c=0,378; p<0,01) sowie für reine DCIS (c=0,403; p<0,05). Desweiteren korrelierten die Größen statistisch signifikant für high-grade DCIS (c=0,493; p<0,05) und für Nekrosen positive DCIS (c=0,556; p<0,01). Hier ließen sich die Tumorgrößen verlässlich vorhersagen. In der Auswertung der Signalintensitäts-Zeit-Kurven zeigten sich signifikante Unterschiede zwischen den Gruppen hinsichtlich der initialen (p<0,05) und postinitialen Phase (p<0,01). So lässt sich anhand der KM-Kinetik eine Aussage über die Malignität treffen. Ein reines DCIS zeigte typischerweise eine initiale Phase mit einem KM-Anstieg von 50-100% oder >100%, gefolgt von einer Plateau-Phase. Ein invasives Carcinom begleitendes DCIS zeichnete sich durch einen raschen Anstieg >100% gefolgt von einem „wash-out“ und einem inhomogenen, unbegrenzten Anreicherungsverhalten aus. Mikrovinvasive DCIS zeigten ähnlich den reinen DCIS einen initialen Anstieg von 50-100% sowie eine folgende Plateau-Phase. Keinen statistisch signifikanten Einfluss hatte die präoperative Größenbestimmung auf das operativen Verfahren (BET vs. Ablatio). Trotz der präoperativen MRT waren zu 29,6 % Nachresektionen - davon ca. die Hälfte (14,1%) als sekundäre Ablatio - nötig. Mit der MRT ließen sich grundsätzlich verlässliche präoperative Vorhersagen hinsichtlich Größe und Malignität treffen. Signalintensitäts-Zeit-Kurven und höhere Feldstärken, wie die 3T-MRT, könnten sehr hilfreich sein und die Sensitivität und Spezifität verbessern. Warum trotz allem noch so viele Nachresektionen nötig sind, gilt es in folgenden Studien zu untersuchen. / Evaluation of the Extension of ductal Carcinoma in situ with high resolution 3-Tesla MR mammography

<b>Introduction:</b> Almost 7,000 people are diagnosed with ductal carcinoma in situ (DCIS) in the United Kingdom each year, but there remains uncertainty regarding its natural history and optimal management. The aim of this thesis was to evaluate factors contributing to the epidemiology of DCIS and its outcomes. <b>Methods:</b> 1) A cohort study comparing risk factors for DCIS and invasive breast cancer (IBC) using UK Biobank; 2) A cohort study examining the accuracy of preoperative biopsy in DCIS using clinical records from the Netherlands Cancer Institute; 3) A cohort study examining the rate of invasive breast cancer following treatment for screen-detected DCIS in England using the National Health Service Breast Screening Programme (NHSBSP) audit; 4) A methodological study to develop an algorithm to identify invasive breast cancer recurrences, which in the future may used to identify DCIS recurrences, using all relevant routinely collected data stored within Public Health England (PHE). <b>Results:</b> (1) For both DCIS and IBC, postmenopausal BMI was associated with an increased risk of developing disease, and the number of live births was associated with a decreased risk of developing disease. However, the magnitude of the effect differed between DCIS and IBC. The increased risk from postmenopausal BMI &GE;35 kg/m² was larger for DCIS than for IBC (RR 2.35, 95% CI 1.14-4.82), and the trend of reduction in risk with each additional live birth was greater for DCIS than for IBC (p for trend = 0.03). (2) Consideration of mammographic lesion size and the absence of necrosis on biopsy may be helpful in selecting low-risk women for non-operative management of DCIS in the future, as may use of the 9G vacuum-assisted method of biopsy. (3) The cumulative risks of IBC at 5, 10 and 15 years after screen-detected DCIS in England were 3.5%, 7.1%, and 9.4% respectively. Women with clear surgical margins of 1-2 mm had a higher IBC rate than women with clear margins of 5+ mm (RR 1.85, 95% CI 1.20-2.84). Women given breast-conserving surgery (BCS) without radiotherapy had a higher ipsilateral IBC rate than women given BCS with radiotherapy (RR 1.63, 95% CI 1.27-2.10). Women given hormone therapy had a lower rate of any IBC compared with oestrogen receptor (ER) positive women not given hormone therapy (RR 0.76, 95% CI 0.63-0.93). (4) There was good agreement between the number of recurrences indicated by the developed algorithm using routinely collected data sources and the number of recurrences recorded in the test dataset. This finding supports the potential value of compiling recurrence information on a nationwide basis from routinely collected data, for use in future descriptive and epidemiological studies and in follow-up for randomised trials. <b>Conclusions:</b> Using a variety of methods these studies have all succeeded in adding to knowledge about the epidemiology of DCIS. This knowledge can be used to help the future management of women with DCIS. In addition, each of the studies has planned extensions and will continue to contribute further knowledge periodically into the future.

Objectives: Ductal carcinoma in situ (DCIS) is a non-invasive lesion of an increasing clinical importance. Individual risk assessment is essential for an optimal treatment. Our objective was to identify clinical and molecular characteristics of a subgroup of DCIS with an unfavorable prognosis. Methods: In a population study, we analyzed women with DCIS diagnosed within one mammography screening unit. In the experimental part of this work, we conducted a comparative analysis of five biological markers in normal tissue, DCIS and invasive breast cancer by means of gene expression analysis and analysis of loss of heterozygosity (LOH). Results: We demonstrated a high proportion of pure (no invasive component) DCIS (14.41%) of all breast lesions described as malignant. In our sample, we saw a homogeneous distribution of risk factors without noting a clear pattern identifying high-risk subtypes. We noted significant differences in clinical management of tumors with similar characteristics, which demonstrates the present state of limited use of clinical predictors. In the laboratory experiment, we showed differences in loss of heterozygosity (LOH) between DCIS and invasive breast cancer for BRCA1 (8.69% vs. 44.74%) and BRCA2 (9.52% vs. 45.0%). In contrast, we did not find any differences for p53 (31.82%...

Objectives: Ductal carcinoma in situ (DCIS) is a non-invasive lesion of an increasing clinical importance. Individual risk assessment is essential for an optimal treatment. Our objective was to identify clinical and molecular characteristics of a subgroup of DCIS with an unfavorable prognosis. Methods: In a population study, we analyzed women with DCIS diagnosed within one mammography screening unit. In the experimental part of this work, we conducted a comparative analysis of five biological markers in normal tissue, DCIS and invasive breast cancer by means of gene expression analysis and analysis of loss of heterozygosity (LOH). Results: We demonstrated a high proportion of pure (no invasive component) DCIS (14.41%) of all breast lesions described as malignant. In our sample, we saw a homogeneous distribution of risk factors without noting a clear pattern identifying high-risk subtypes. We noted significant differences in clinical management of tumors with similar characteristics, which demonstrates the present state of limited use of clinical predictors. In the laboratory experiment, we showed differences in loss of heterozygosity (LOH) between DCIS and invasive breast cancer for BRCA1 (8.69% vs. 44.74%) and BRCA2 (9.52% vs. 45.0%). In contrast, we did not find any differences for p53 (31.82%...

Yes / Matched healthy and diseased tissues from breast cancer patients were analyzed by quantitative proteomics. By comparing proteomic profiles of fibroadenoma (benign tumors, three patients), DCIS (noninvasive cancer, three patients), and invasive ductal carcinoma (four patients), we identified protein alterations that correlated with breast cancer progression. Three 8-plex iTRAQ experiments generated an average of 826 protein identifications, of which 402 were common. After excluding those originating from blood, 59 proteins were significantly changed in tumor compared with normal tissues, with the majority associated with invasive carcinomas. Bioinformatics analysis identified relationships between proteins in this subset including roles in redox regulation, lipid transport, protein folding, and proteasomal degradation, with a substantial number increased in expression due to Myc oncogene activation. Three target proteins, cofilin-1 and p23 (increased in invasive carcinoma) and membrane copper amine oxidase 3 (decreased in invasive carcinoma), were subjected to further validation. All three were observed in phenotype-specific breast cancer cell lines, normal (nontransformed) breast cell lines, and primary breast epithelial cells by Western blotting, but only cofilin-1 and p23 were detected by multiple reaction monitoring mass spectrometry analysis. All three proteins were detected by both analytical approaches in matched tissue biopsies emulating the response observed with proteomics analysis. Tissue microarray analysis (361 patients) indicated cofilin-1 staining positively correlating with tumor grade and p23 staining with ER positive status; both therefore merit further investigation as potential biomarkers. / Cyprus Research Promotion Foundation, Yorkshire Cancer Research

Les anatomopathologistes disposent d’outils permettant d’assister leurs décisions cliniques et d’évaluer les risques de récidive des patientes atteintes d’un cancer du sein. Parmi ceux-ci, le grade histologique du cancer du sein divise les patientes en trois sous-groupes pour lesquels le grade histologique 1 et 3 sont respectivement associés à de bons et mauvais pronostics. Cependant, cet outil est loin d’être parfait, dû au manque de reproductibilité de ce système et du risque de récurrence intermédiaire, peu informatif, des patients classés dans la catégorie « grade 2 ».<p>Afin de mieux caractériser ces tumeurs de risque intermédiaire, notre laboratoire a introduit un score appelé « Gene expression Grade Index (GGI) », basé sur l’expression de 97 gènes définis par microarrays. De façon intéressante, ce GGI permet de diviser les patientes de grade histologique 2, sur base de leur profil d’expression, en 2 groupes correspondant aux tumeurs de grade 1 ou aux tumeurs de grade 3. Cependant, bien que le GGI apporte une information importante, son applicabilité clinique est limitée par son prix et la nécessité d’utiliser du matériel congelé.<p>Durant ce travail de thèse, nous avons transposé la signature microarrays en un test RT-PCR, appelé PCR-GGI, basé sur l’expression de 8 gènes qui permet de reproduire les performances du GGI à partir de tissus congelés ou conservés dans de la paraffine. Cette amélioration permet de faciliter son utilisation en routine clinique. <p>De plus, nous avons approfondi notre connaissance du grade histologique, au niveau génomique et transcriptomique, et montré que les tumeurs mammaires (ER-positives) peuvent être divisées en deux groupes :un premier groupe de faible instabilité génomique, exprimant faiblement les gènes de prolifération et présentant un faible risque de récurrence ;et un deuxième groupe de haute instabilité génomique (impliquant principalement des amplifications localisées dans les régions 8q et 20q), une expression importante de gènes de prolifération et un mauvais pronostic.<p>D’autre part, les carcinomes canalaires in situ (DCIS) présentant des similarités avec les tumeurs invasives, nous avons voulu mieux comprendre le comportement du grade tumoral parmi ces tumeurs pré-invasives. Nous avons donc intégré le PCR-GGI au VNPI et défini le VNPI-GGI. Comparé au VNPI classique, le VNPI-GGI identifie mieux les patientes qui vont récidiver tôt dans les groupes de risque intermédiaire et haut, et permet donc d’éviter le sur-traitement.<p>Cependant, le calcul du VNPI est un travail fastidieux et le PCR-GGI seul ne permet pas de prédire les risques de récidives des DCIS. Nous avons donc cherché un nouveau marqueur pronostique. Alors, qu’il existe des preuves de plus en plus nombreuses supportant l’importance du rôle anti-tumoral des cellules myoépithéliales, nous avons montré qu’une diminution de l’expression de CD10 – un marqueur des cellules myoépithéliale – était hautement corrélée au risque de récidive. Ces résultats soulignent l’importance tant de l’agressivité de la tumeur que de son environnement directe, dans la progression tumorale.<p><p>En terme d’applications, les résultats obtenus durant ce travail de thèse nous ont permis de développer des outils utilisables par les cliniciens afin d’améliorer la prise en charge des patientes.<p><p><p><p>Traditional histopathological tools routinely used to evaluate breast cancer prognosis are designed to assist physicians in their evaluation of clinical outcome. The histological grade of invasive breast cancer, that assigns patients to one of 3 groups for which histological grade 1 and 3 tumors are respectively associated with lower and higher rate of recurrence, has long provided clinically important prognostic information. However, this tool is far from perfect due to concern over reproducibility and intermediate risk of recurrence of the histological grade 2 that is not informative for clinical decision. <p>To better characterize tumors classified as histological grade 2, our group has introduced a score called Gene expression Grade Index (GGI) based on a cassette of 97 genes defined by Microarrays. Interestingly, the GGI was able to reclassify patients with histological grade 2 tumors into 2 groups with distinct clinical outcomes similar to those of histological grade 1 and 3, respectively. However, its clinical applicability still remains expensive and often requires frozen tissue.<p>During this thesis work, we have transposed the GGI onto a qRT-PCR assay, called PCR-GGI, based on a set of 8 genes that could recapitulate in an accurate and reproducible manner the prognostic performance of GGI using both frozen and paraffin-embedded (FFPE) tumor samples, to facilitate its use in clinical practice. <p>Moreover, we have explored histological grade of invasive breast cancer at genomic and transcriptomic level and we have shown that two classes of ER-positive invasive breast cancer are observed: a first of low genomic instability, low proliferation gene expression and low risk of recurrence; and a second of high genomic instability (implying a major role for amplification of region located on chromosome arms 8q and 20q), high proliferation gene expression and worse prognosis.<p>In addition, since Ductal Carcinoma in situ (DCIS) and invasive breast cancer show concordant biologic behavior, we attempted to better understand the molecular basis of grade in pre-invasive breast cancer. We have then incorporated the PCR-GGI in the VNPI and defined the VNPI-GGI to improve its prognostic value. Compared to the classic VNPI, the VNPI-GGI had a better potential to identify early relapsing patients in the intermediate and high score group, and avoid under treatment in high-risk DCIS patients.<p>However, VNPI scoring is a tedious work and PCR-GGI alone can’t predict recurrence in pre-invasive breast cancer. We aimed then to find news prognosis marker in the field of DCIS. As there is now growing body of evidence supporting the role of myoepithelial cells (MECs) as natural tumor suppressors, we have showed that a decrease of CD10 expression- a surface biomarker of MECs – was significantly associated with an increased risk of relapse. <p>These results highlight the importance of assessing intrinsic DCIS properties as well as juxta-tumoral stroma, both seems to have a major role in DCIS progression.<p><p>In terms of applications, from these results obtained during this thesis work, we developed methods applicable into clinical practice to improve patients management.<p> / Doctorat en Sciences biomédicales et pharmaceutiques / info:eu-repo/semantics/nonPublished

The Polycomb group (PcG) family of proteins form chromatin-modifying complexes essential for embryonic development, and stem cell renewal and are commonly deregulated in cancer. There are several reports that address the possible implication of PcG proteins in tumor progression and metastasis, but very little is known about the specific role of these proteins in tumor progression and invasion. On the other hand, the molecular processes of the worst cancer prognosis, metastasis, which leads to an incurable disease, are yet incompletely elucidated. Here we show a role for Ring1B, a PcG protein, in three processes related to metastasis: in the Epithelial-mesenchymal transition (EMT), a critical morphogenic event that occurs during embryonic development and during the progression of various epithelial tumors, an in the migration and the invasion of mammary epithelial cells. / Las proteínas del grupo Polycomb (PcG) forman complejos modificadores de la cromatina esenciales en el desarrollo embrionario y en la renovación de las células madre, y su desregulación ha sido asociada al cáncer. Varios estudios muestran la posible implicación de las proteínas de PcG en la progresión tumoral y en la metástasis, pero a pesar de ello se sabe muy poco de los procesos moleculares en los que estas proteínas están participando. Por otro lado, los procesos moleculares responsables del peor pronóstico en cáncer, la metástasis, que continua siendo una enfermedad incurable, siguen sin estar completamente elucidados. En esta disertación mostramos el papel de Ring1B, una proteína del PcG, en tres procesos implicados en la metástasis: en la transición epitelio-mesénquima (EMT), un proceso morfogénico crítico en el desarrollo embrionario y durante la progresión de varios cánceres epiteliales, y en la migración y la invasión de las células epiteliales mamarias.