RNA-Seq of Circulating Tumor Cells in Stage II-III Breast Cancer
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ABSTRACT:
PROVIDER: PRJNA438345 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6835880_1.fastq.gz | Fastqsanger.gz | |||
| SRR6835880_2.fastq.gz | Fastqsanger.gz | |||
| SRR6835890_1.fastq.gz | Fastqsanger.gz | |||
| SRR6835890_2.fastq.gz | Fastqsanger.gz | |||
| SRR6835900_1.fastq.gz | Fastqsanger.gz |
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Project description:BACKGROUND: We characterized the whole transcriptome of circulating tumor cells (CTCs) in Stage II-III breast cancer to evaluate correlations with primary tumor biology. METHODS: CTCs were isolated from peripheral blood (PB) via immunomagnetic enrichment followed by fluorescence-activated cell sorting (IE-FACS). CTCs, PB and fresh tumors were profiled with RNA Seq. Formalin-fixed, paraffin-embedded (FFPE) tumors were subjected to RNA Seq and NanoString PAM50 assays with Risk of Recurrence (ROR) scores. RESULTS: CTCs were detected in 29/33 (88%) of patients. We selected 21 cases to attempt RNA Seq (median number of CTCs=9). 16 CTC samples yielded results that passed quality control metrics. These samples had a median of 4,311,255 uniquely mapped reads, less than PB or tumors. Intrinsic subtype predicted by comparing estrogen receptor (ER), progesterone receptor (PR) and HER2 versus PAM50 for FFPE tumors was 85% concordant. However, CTC RNA Seq subtype assessed by the PAM50 classification genes was highly discordant both with the subtype predicted by ER/PR/HER2 as well as by tumor PAM50. Two patients died of metastatic disease - both had high ROR scores and high CTC counts. We identified significant genes, canonical pathways, upstream regulators and molecular interaction networks comparing CTCs by various clinical factors. We identified a 75-gene signature with highest expression in CTCs and tumors taken together that was prognostic in The Cancer Genome Atlas and METABRIC datasets. CONCLUSION: It is feasible to use RNA Seq of CTCs in non-metastatic patients to discover novel tumor biology characteristics.
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Project description:Colorectal cancer is one of the most common cancers in the world. Histological staging is efficient but combination with molecular markers may improve tumors classification. Gene expression profiles have been defined as prognosis predictors among stage II and III tumors but their implementation in medical practice remains controversial. Stage-II tumors have been recognized as a heterogeneous group and high-risk morphologic features have been retained as justifying adjuvant chemotherapy. We propose here the investigation of clinical features and expression profiles from stage II and stage III colon carcinomas without DNA mismatch repair defect. A series of 130 colon cancer samples was retained. Expression profiles were established on oligonucleotide microarrays and processed in the R/Bioconductor environment. Hierarchical then supervised analyses were successively performed applying the data-sampling approach. A molecular signature of seven genes was found to cluster stage III tumors with an adjusted p-values lower than 10^-10. A subgroup of stage-II tumors aggregated this cluster in both series. No correlation was found between with the disease severity but the function of the discriminating genes suggests that tumors have been classified according to their putative response to adjuvant targeted or classic therapies. Further pharmacogenetic studies might document this observation. Expression profile of stage-II colon carcinomas distinguishes two patterns of tumors based on a 7-gene signature. One pattern is very similar to that of stage-III tumors and the corresponding tumors aggregate into a single cluster. Genes function suggests possible tumor determinism in drug response more than in prognosis evolution.
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