Decreased expression of angiogenesis antagonist EFEMP1 in sporadic breast cancer is caused by aberrant promoter methylation and points to an impact of EFEMP1 as molecular biomarker.

EGF-containing fibulin-like extracellular matrix protein 1 (EFEMP1) was recently described as an antagonist of angiogenesis. Motivated by a strong dependence of tumor growth and metastasis on angiogenesis, we investigated the role of EFEMP1 in human breast cancer. We applied RNA microarray expression analysis and quantitative real-time PCR (QRT) in a total of 45 sporadic breast cancer tissues and found EFEMP1 down-regulation in 59% and 61% of the analyzed tissues, respectively. This down-regulation was confirmed on protein level. Immunohistochemistry in 211 breast cancer tissues resulted in reduced or even abolished EFEMP1 expression in 57-62.5% of the tumors. Bisulphite genomic sequencing in breast cancer cell lines and primary breast cancer tissues revealed promoter methylation as the major cause of this down-regulation. Furthermore, analysis of 203 clinically well characterized primary breast cancers displayed a significant correlation of reduced EFEMP1 protein expression with poor disease-free (p = 0.037) and overall survival (p = 0.032), particularly in those node-positive patients who received adjuvant anthracycline-based chemotherapy, but not in those treated by either cyclophosphamide-methotrexate-5-fluorouracil (CMF) or Tamoxifen. In summary, the presented data demonstrate for the first time the reduced EFEMP1 expression on RNA and protein level in a substantial number of sporadic breast carcinomas and its correlation with epigenetic alterations. Furthermore, these data point towards a possible predictive impact of EFEMP1 expression in primary breast cancer.

Expression profiling identifies genes that predict recurrence of breast cancer after adjuvant CMF-based chemotherapy.

Cyclophosphamide, methotrexate and 5-fluorouracile (CMF)-based chemotherapy for adjuvant treatment of breast cancer reduces the risk of relapse. In this exploratory study, we tested the feasibility of identifying molecular markers of recurrence in CMF-treated patients. Using Affymetrix U133A GeneChips, RNA samples from 19 patients with primary breast cancer who had been uniformly treated with adjuvant CMF chemotherapy were analyzed. Two supervised class prediction approaches were used to identify gene markers that can best discriminate between patients who would experience relapse and patients who would remain disease-free. An additional independent validation set of 51 patients and 21 genes were analyzed by quantitative RT-PCR. Applying different algorithms to evaluate our microarray data, we identified two gene expression signatures of 21 and 12 genes containing eight overlapping genes, that predict recurrence in 19 cases with high accuracy (94%). Quantitative RT-PCR demonstrated that six genes from the combined signatures (CXCL9, ITSN2, GNAI2, H2AFX, INDO, and MGC10986) were significantly differentially expressed in the recurrence versus the non-recurrence group of the 19 cases and the independent breast cancer patient cohort (n = 51) treated with CMF. High expression levels of CXCL9, ITSN2, and GNAI2 were associated with prolonged disease-free survival (DFS) (P = 0.029, 0.018 and 0.032, respectively). When patients were stratified by combined CXCL9/ITSN2 or CXCL9/FLJ22028 tumor levels, they exhibited significantly different disease-free survival curves (P = 0.0073 and P = 0.005, respectively). Finally, the CXCL9/ITSN2 and CXCL9/FLJ22028 ratio was an independent prognostic factor (P = 0.034 and P = 0.003, respectively) for DFS by multivariate Cox analysis in the 70-patient cohort. Our data highlight the feasibility of a prognostic assay that is applicable to therapeutic decision-making for breast cancer. Whether the biomarker profile is chemotherapy-specific or whether it is a more general indicator of bad prognosis of breast cancer patients remains to be explored.

Gastric duplication cyst: a rare endosonographic finding in an adult.

Cystic lesions located in the gastric wall are a rare finding in endosonography of the gastrointestinal tract. Compared to all forms of benign and malignant tumours of the stomach, gastric duplication cysts are an uncommon anomaly--especially in adults. We report on a 59-year-old woman suffering from intermittent abdominal pain, weight loss and nausea. A gastric duplication cyst was identified by endoscopic ultrasound (EUS), but malignancy was excluded by EUS and fine-needle aspiration histology. Because of continuously increasing abdominal complaints, surgery was performed with partial resection of the gastric corpus and splenectomy. Gross anatomy and histology showed a gastric cyst measuring 150 mm in maximum diameter with no evidence of malignancy or inflammation. Following surgery, the patient's condition recovered fully.

Prediction of response to neoadjuvant chemotherapy by sequential F-18-fluorodeoxyglucose positron emission tomography in patients with advanced-stage ovarian cancer.

PURPOSE: The aim of this study was to evaluate sequential F-18-fluorodeoxyglucose positron emission tomography (FDG-PET) to predict patient outcome after the first and third cycle of neoadjuvant chemotherapy in advanced-stage (International Federation of Gynecology and Obstetrics stages IIIC and IV) ovarian cancer. PATIENTS AND METHODS: Thirty-three patients received three cycles of carboplatin-based chemotherapy, followed by cytoreductive surgery. Quantitative FDG-PET of the abdomen and pelvis was acquired before treatment and after the first and third cycle of chemotherapy. Changes in tumoral FDG uptake, expressed as standardized uptake values (SUV), were compared with clinical and histopathologic response; overall survival served as a reference. RESULTS: A significant correlation was observed between FDG-PET metabolic response after the first (P = .008) and third (P = .005) cycle of chemotherapy and overall survival. By using a threshold for decrease in SUV from baseline of 20% after the first cycle, median overall survival was 38.3 months in metabolic responders compared with 23.1 months in metabolic nonresponders. At a threshold of 55% decrease in SUV after the third cycle median overall survival was 38.9 months in metabolic responders compared with 19.7 months in nonresponders. There was no correlation between clinical response criteria (P = .7) or CA125 response criteria (P = .5) and overall survival. There was only a weak correlation (P = .09) between histopathologic response criteria and overall survival. CONCLUSION: Sequential FDG-PET predicted patient outcome as early as after the first cycle of neoadjuvant chemotherapy and was more accurate than clinical or histopathologic response criteria including changes in tumor marker CA125. FDG-PET appears to be a promising tool for early prediction of response to chemotherapy.