Project description:The aim of this study was to construct a prediction model for axillary lymph node metastasis (ALNM) using a DNA microarray assay for gene expression in breast tumor tissues. Luminal A breast cancers, diagnosed by PAM50 testing, were analyzed, and a prediction model (genomic nodal index (GNI)) consisting of 292 probe sets for ALNM was constructed in a training set of patients (n=388), and was validated in the first (n=59) and the second (n=103) validation sets. AUCs of ROC were 0.820, 0.717, and 0.749 in the training, first, and second validation sets, respectively. GNI was most significantly associated with ALNM, independently of the other conventional clinicopathological parameters in all cohorts. It is suggested that GNI can be used to identify the patients with a low risk for ALNM so that sentinel lymph node biopsy can be spared safely. This DATA set: J03 contains 120 (n+ 60, n- 60) samples of the above first and second validation sets from Japan (OUH_1,2). A long time passed, and now it is unclear how these 120 cases were distributed among the first and second validation sets. *Note: This old data has been updated multiple times by others. Then, there are some differences from the original 2014 paper and unclear points still remain. Therefore, do not use it for formal analysis aimed at public insurance coverage etc. This is for research purposes only. Please cite this paper when writing a new paper. PMID: 25016059 DOI: 10.1016/j.canlet.2014.07.003
Project description:Validation dataset of 298 ER-positive patients treated with tamoxifen for 5 years. All patients in this dataset have ER+ breast cancer and were uniformly treated with tamoxifen for 5 years. The objective of the study was to correlate levels of genomic markers to outcomes (relapse free survival) in this cohort of uniformly treated patients.
Project description:Validation dataset of 298 ER-positive patients treated with tamoxifen for 5 years. All patients in this dataset have ER+ breast cancer and were uniformly treated with tamoxifen for 5 years. The objective of the study was to correlate levels of genomic markers to outcomes (relapse free survival) in this cohort of uniformly treated patients. Tissue samples were processed and profiled by two different labs (MD Anderson Cancer Center and Jules Bordet Institute).
Project description:Non-muscle invasive bladder cancer (NMIBC) has a recurrence rate of more than 50% after transurethral resection (TUR) and Calmette-Guérin (BCG) treatment. This study aimed to develop a high-frequency recurrence index (HfRI) to predict multiple recurrences in NMIBC patients and guide personalized treatment strategies. In this study, we analyzed transcriptome data (Discovery cohort) of 45 high-risk NMIBC patients who received intravesical BCG treatment, including patients with >=2 recurrences, to identify genes significantly associated with high-frequency recurrence and construct a signature. In addition, we validated the predictive performance using transcriptome data of 94 patients (Validation cohort).
Project description:Sample index hopping refers to the incorrect sample assignment of a demultiplexed sequencing read in a library pool. To enable benchmarking of methods for measurement of index hopping rate and removal of its artifacts in single-cell RNA-seq data, we developed a validation dataset consisting of a multiplexed library of two samples, in which the true sample of origin of most reads are known. The reads with known sample of origin provide the ground truth for measuring the performance of index hopping correcting methods.
Project description:Oncogenic PIK3CA mutations activate phosphoinositide 3-kinase (PI3K) and are among the commonest somatic mutations in cancer and mosaic, developmental overgrowth disorders. We recently demonstrated that the ‘hotspot’ variant PIK3CAH1047R exerts striking allele dose-dependent effects on stemness in human induced pluripotent stem cells (iPSCs), and moreover demonstrated multiple oncogenic PIK3CA copies in a substantial subset of human cancers. To identify the molecular mechanism underpinning PIK3CAH1047R allele dose-dependent stemness, we profiled isogenic wild-type, PIK3CAWT/H1047R and PIK3CAH1047R/H1047R iPSCs by high-depth transcriptomics, proteomics and reverse-phase protein arrays (RPPA). PIK3CAH1047R/H1047R iPSCs exhibited altered expression of 5644 genes and 248 proteins, whereas heterozygous hPSCs showed 492 and 54 differentially-expressed genes and proteins, respectively, confirming a nearly deterministic phenotypic effect of homozygosity for PIK3CAH1047R. Pathway and network-based analyses predicted a strong association between self-sustained TGFb/NODAL signaling and the ‘locked’ stemness phenotype induced by homozygosity for PIK3CAH1047R. This stemness gene signature was maintained without exogenous NODAL in PIK3CAH1047R/H1047R iPSCs and was reversed by pharmacological inhibition of TGFb/NODAL signaling but not by PIK3CA-specific inhibition. Analysis of PIK3CA-associated human breast cancers revealed increased expression of the stemness markers NODAL and POU5F1 as a function of disease stage and PIK3CAH1047R allele dosage. Together with emerging realization of the link between NODAL re-expression and aggressive cancer behavior, our data suggest that TGFb/NODAL inhibitors warrant testing in advanced breast tumors with multiple oncogenic PIK3CA copies.