Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA305658 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3023070_1.fastq.gz | Fastqsanger.gz | |||
| SRR3023070_2.fastq.gz | Fastqsanger.gz | |||
| SRR3023080_1.fastq.gz | Fastqsanger.gz | |||
| SRR3023080_2.fastq.gz | Fastqsanger.gz | |||
| SRR3023081_1.fastq.gz | Fastqsanger.gz |
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Project description:Metastasis is responsible for the majority of deaths in a variety of cancer types, including breast cancer. Although several factors or biomarkers have been identified to predict the outcome of patients with breast cancer, few studies have been conducted to identify metastasis-associated biomarkers. Quantitative iTRAQ proteomics analysis was used to detect differentially expressed proteins between lymph node metastases and their paired primary tumor tissues from 23 patients with metastatic breast cancer. Immunohistochemistry was performed to validate the expression of two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins in 190 paraffin-embedded tissue samples. These four proteins were further analyzed for their correlation with clinicopathological features in 190 breast cancer patients. We identified 637 differentially regulated proteins (397 upregulated and 240 downregulated) in lymph node metastases compared with their paired primary tumor tissues. Furthermore, bioinformatics analysis using GEO profiling confirmed the difference in the expression of EpCAM between metastases and primary tumors tissues. Two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins were associated with the progression of breast cancer. Obviously, EpCAM plays a role in the metastasis of breast cancer cells to the lymph node. We further identified αB-crystallin as an independent biomarker to predict lymph node metastasis and the outcome of breast cancer patients.
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Project description:Purpose Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with no targeted treatment available. Our previous study identified 38 TNBC-specific genes with altered expression in tumour samples compared to normal samples. This study aimed to identify whether DNA methylation contributed to these gene expression changes in the same breast cancer cohort. Additionally, we aimed to identify a whole genome methylation profile that contributes to the progression from primary breast tumour to lymph node metastasis. Methods We used the DNA of 23 primary TNBC samples, 12 matched lymph node metastases, and 11 matched normal adjacent tissues to perform 450K Illumina methylation arrays. The results were validated in an independent cohort of 70 primary TNBC samples. Results The gene expression of 16/38 TNBC-specific genes was associated with significantly altered methylation. Furthermore, altered methylation of 18 genes associated with lymph node metastasis was identified and validated in an independent cohort. Additionally, novel methylation changes between primary tumours and lymph node metastases, as well as those associated with survival were identified. Conclusion This study has shown that DNA methylation plays an important role in altered gene expression patterns of TNBC-specific genes and is the first study to perform whole genome DNA methylation analysis that includes matched lymph node metastases in this breast cancer subtype. This novel insight into the progression of TNBC to secondary cancers may provide potential prognostic indicators for this hard-to-treat breast cancer subtype. study cohort
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Project description:Purpose Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with no targeted treatment available. Our previous study identified 38 TNBC-specific genes with altered expression in tumour samples compared to normal samples. This study aimed to identify whether DNA methylation contributed to these gene expression changes in the same breast cancer cohort. Additionally, we aimed to identify a whole genome methylation profile that contributes to the progression from primary breast tumour to lymph node metastasis. Methods We used the DNA of 23 primary TNBC samples, 12 matched lymph node metastases, and 11 matched normal adjacent tissues to perform 450K Illumina methylation arrays. The results were validated in an independent cohort of 70 primary TNBC samples. Results The gene expression of 16/38 TNBC-specific genes was associated with significantly altered methylation. Furthermore, altered methylation of 18 genes associated with lymph node metastasis was identified and validated in an independent cohort. Additionally, novel methylation changes between primary tumours and lymph node metastases, as well as those associated with survival were identified. Conclusion This study has shown that DNA methylation plays an important role in altered gene expression patterns of TNBC-specific genes and is the first study to perform whole genome DNA methylation analysis that includes matched lymph node metastases in this breast cancer subtype. This novel insight into the progression of TNBC to secondary cancers may provide potential prognostic indicators for this hard-to-treat breast cancer subtype. Validation cohort (70 IDC TNBC samples)
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Project description:Purpose: Lymph node invasion is a hallmark of breast cancer disease progression, but current treatment strategies lack guidance from lymph node biomarkers. We investigated JAGGED1 (JAG1) as a promoter of lymph node metastasis and a prognostic biomarker in metastatic lymph node specimens. Experimental Design: We used mouse models to assess the role of JAG1 expression in human and mouse breast cancer cells on lymphovascular invasion, lymph node metastatic potential, transcriptional profiles, and tumor interactions with lymphatic endothelium. We examined breast and lymph node samples from 284 breast cancer patients to determine the correlative and prognostic value of tumoral JAG1 expression in the lymph node. Results: In matched human breast tumor and lymph node samples, tumor cells that invaded lymph nodes showed higher JAG1 expression than their associated primary tumors (P value < 0.0001). In multiple models, breast cancer cells with high JAG1 expression showed increased lymphovascular invasion, lymph node metastasis, lymph node metastatic outgrowth, and migration through lymphatic endothelium. Transcriptomic analysis indicated that tumoral JAG1 regulates both juxtacrine and paracrine signaling pathways that induce inflammatory and pro-metastatic genes in lymphatic endothelium. When examining patients with identical surgical treatments, patients with lymph node JAG1 H-scorelow showed increased 5-year recurrence free survival rates than patients with lymph node JAG1 H-scorehi (87% vs 70%, P=0.016). Conclusions: JAG1 expression promotes lymphovascular invasion and lymph node metastasis in murine models. In patients, high expression of JAG1 in tumor cells in lymph node metastases predicts reduced recurrence free survival.
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