Dataset Information

Tumor-driven stromal reprogramming in the pre-metastatic lymph node

ABSTRACT: Metastatic dissemination is critically reliant on the formation of a receptive niche, a process which is thought to rely on signals derived from the primary tumor. Lymph nodes are continuously exposed to such signals through the flow of afferent lymph, allowing the potential reprograming of lymphoid tissue stroma in support of metastases or immunosuppression. We utilize single cell RNA sequencing to profile reprograming of the stromal support network within the pre-metastatic lymph node. Transcriptomic changes of the tumor-draining LN are compared against those of the contralateral non-draining LN. Additionally, we include experimental conditions for comparison in which LNs are exposed to fixed tumor cells, mimicking antigenic challenge without active tumor growth, thereby allowing us to distinguish between active tumor-elicited reprograming and general immune responses to tumor antigen.

ORGANISM(S): Mus musculus

PROVIDER: GSE248905 | GEO | 2023/11/29

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Lymph-node (LN) metastases predict for high recurrence rates in breast cancer patients. Eradication of micro-metastatic tumor cells is the primary goal of adjuvant systemic treatment. Decisions regarding systemic treatment depend largely on primary tumor characteristics rather than on characteristics of their LN metastases. However, it remains unclear to what extent LN metastases, having already metastasized locally, resemble their primary breast tumors and as such will be eradicated by the systemic therapy chosen. In this study we investigated the genetic differences between primary breast cancers and their paired LN metastases using array comparative genomic hybridization analyses on a high resolution 720K Nimblegen platform. Thus far, no metastasis-specific genomic aberrations have been identified. We hypothesized that this is due to low-resolution platforms and lack of stratification on breast cancer subtypes (specifically, triple-negative (TN) versus luminal). Furthermore, we speculated that as TN tumours are known to be more genetically unstable, their LN metastases would show an increase in random copy number aberrations (CNAs). Therefore, we studied 10 primary TN breast tumour–LN pairs and 10 luminal pairs and found that all LN metastases clustered nearest to their matched tumour except for two. These two were explained by poor hybridization quality and, interestingly, the presence of two histological components in one tumour. We found no significantly altered CNAs between pairs in the whole group, nor when subdivided over subtypes; neither did we find a CNA increase in LN metastases compared to primary tumours within the TN subgroup, suggesting most CNAs are functional and not random. Our findings suggest a strong clonal relationship between primary breast tumours and its LN metastases and support the use of the primary tumor characteristics to guide adjuvant systemic chemotherapy in breast cancer patients, since primary tumors and their subsequent LN metastases seem remarkably similar, at least prior to treatment. The experiment contains 27 paired primary breast cancer samples with their lymph node metastases, analysed on a 135K whole genome CGH array

Dataset Information

Tumor-driven stromal reprogramming in the pre-metastatic lymph node

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets