Project description:Purpose: Several risk factors for local recurrence of breast cancer after breast conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also improve understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9/19 patients also the local recurrence was available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from non-recurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after breast conserving therapy were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy. Keywords: gene expression profiling
Project description:Characterization of gene expression profiles of primary human patient-derived T1 colorectal cancer-associated fibroblasts (T1CAFs) and patient-matched normal fibroblasts (NFs) by bulk RNA sequencing
Project description:Colorectal adenomas are common precancerous lesions with the potential for malignant transformation to colorectal adenocarcinoma. Endoscopic polypectomy provides an opportunity for cancer prevention, however, recurrence rates are high. We collected formalin-fixed paraffin-embedded tissue of fourteen primary adenomas with recurrence, fourteen primary adenomas without recurrence, and fourteen matched pair samples (primary adenoma and the corresponding recurrent adenoma). These samples were analysed by array-based comparative genomic hybridisation (aCGH) to understand the dynamics of copy number alterations (CNAs) and to identify molecular markers to predict recurrence. ACGH analysis confirmed the genetic landscape specific for colorectal tumorigenesis, i.e., CNAs of chromosomes 7 (13.7%), 13q (13.7%), 18 (5.8%) and 20q (13.7%). CNAs were detected in 41/51 (80.4%) of colorectal adenomas (2N). Focal aberrations (≤10 Mbp) were mapped to chromosome bands 6p22.1-p21.33 (33.3%), 7q22.1 (31.4%) and 16q21 (29.4%). Gains of CDX2 were exclusively seen in adenomas with recurrence compared to adenomas without recurrence. However, the average number of copy alterations failed to discriminate primary adenomas with recurrence from primary adenomas without recurrence.
Project description:This SuperSeries is composed of the following subset Series: GSE27854: Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery (gene expression analysis) GSE27910: Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery (copy number analysis) Refer to individual Series
Project description:The molecular profile of endometrial cancer has become an important tool in determining patient prognosis and their optimal adjuvant treatment. In addition to The Cancer Genome Atlas (TCGA), simpler tools have been developed, such as the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE). We attempted to determine a genetic signature to build a recurrence risk score in patients diagnosed with low- and intermediate-risk endometrial cancer. A case-control study was conducted. The eligible patients were women diagnosed with recurrence low- and intermediate-risk endometrial cancer between January 2009 and December 2014 at a single institution; the recurrence patients were matched to two nonrecurrence patients with the same diagnosis by age and surgical staging. Following RNA isolation of 51 cases, 17 recurrence and 34 nonrecurrence patients, the expression profile was determined using the nCounter® PanCancer Pathways Panel, which contains 770 genes. The expression profile was successfully characterized in 49/51 (96.1%) cases. We identified 12 genes differentially expressed between the recurrence and nonrecurrence groups. The ROC curve for each gene was generated, and all had AUCs higher than 0.7. After backward stepwise logistic regression, four genes were highlighted: FN1, DUSP4, LEF1, and SMAD9. The recurrence risk score was calculated, leading to a ROC curve of the 4-gene model with an AUC of 0.93, sensitivity of 100%, and specificity of 72.7%. We identified a four-gene signature that is associated the risk of recurrence in patients with low- and intermediate-risk endometrial cancer. This finding suggests a new prognostic factor in this poorly explored group of patients with endometrial cancer.
Project description:IntroductionPatients with high-risk T1 colorectal cancer (CRC) after endoscopic resection (ER) should undergo surgery in view of the risk of lymph node metastasis. Although additional surgery can potentially prevent recurrence, there is a paucity of data and longitudinal studies exploring this potential. Hence, this study aimed to evaluate the prolonged influence of ER before additional surgery on recurrence in T1 CRC.MethodsBetween January 2004 and October 2015, 162 patients who underwent secondary surgery (SS) after ER ([ER + SS] group) and 392 consecutive patients with T1 CRC who underwent primary surgery at our institution were retrospectively analyzed. Recurrence was analyzed in these 2 groups. High-risk CRC patients were histologically defined according to the Japanese Society for Cancer of the Colon and Rectum guidelines (2016) for the treatment of CRC. Data were analyzed based on clinical and histological features, including lymph node metastasis, and the number of lymph nodes evaluated.ResultsThe recurrence rate was comparable between the ER + SS and primary surgery groups, with no significant difference (P = 0.625, log-rank test). There was no significant difference in the recurrence in patients receiving adjuvant chemotherapy in both groups (7.4% vs 10.4%, P = 0.27). The difference in the mean number of lymph nodes dissected between both groups was also not significant (24.3 vs 25.3, P = 0.43).DiscussionThere was no significant difference in recurrence rates between patients undergoing ER before surgery and those undergoing primary surgery for high-risk T1 CRC. Hence, ER may be acceptable for high-risk T1 CRC.
Project description:Progression of hepatocellular carcinoma (HCC) often leads to vascular invasion and intrahepatic metastasis, which correlate with recurrence after surgical treatment and poor prognosis. It is crucial to identify patients with a high risk of recurrence and develop more intensified or targeted treatment strategy to improve disease outcome.
Project description:The aim of this study was to evaluate whether micro-RNA signature in tumor tissues from low-risk Endometrial Cancer women can be correlated with the occurrence of recurrences MicroRNA expression was assessed by chip analysis in 7 formalin-fixed paraffin-embedded (FFPE) LREC primary tumors from women whose follow up showed recurrences (R+) and in 14 FFPE LREC primary tumors from women whose follow up did not show any recurrence (R-), matched for grade and age.
Project description:Progression of hepatocellular carcinoma (HCC) often leads to vascular invasion and intrahepatic metastasis, which correlate with recurrence after surgical treatment and poor prognosis. It is crucial to identify patients with a high risk of recurrence and develop more intensified or targeted treatment strategy to improve disease outcome. In the training set, tumor and non-tumor liver were profiled separately, and each was used to generate a prediction model which was validated with the use of independent validation set.
Project description:This SuperSeries is composed of the following subset Series: GSE18916: Expression data from 42 prostate cancer samples - 16 recurrent and 26 recurrence-free GSE18917: Expression data from 22 prostate cancer samples - 6 recurrent and 16 recurrence-free from the validation dataset Refer to individual Series