Dataset Information

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.

ABSTRACT: Molecular mechanisms underlying breast cancer lymph node metastasis remain unclear. Using single-cell sequencing, we investigated the transcriptome profile of 96,796 single cells from 15 paired samples of primary tumors and axillary lymph nodes. We identified nine cancer cell subclusters including CD44 + / ALDH2 + /ALDH6A1 + breast cancer stem cells (BCSCs), which had a copy-number variants profile similar to that of normal breast tissue. Importantly, BCSCs existed only in primary tumors and evolved into metastatic clusters infiltrating into lymph nodes. Furthermore, transcriptome data suggested that NECTIN2-TIGIT-mediated interactions between metastatic breast cancer cells and tumor microenvironment (TME) cells, which promoted immune escape and lymph node metastasis. This study is the first to delineate the transcriptome profile of breast cancer lymph node metastasis using single-cell RNA sequencing. Our findings offer novel insights into the mechanisms underlying breast cancer metastasis and have implications in developing novel therapies to inhibit the initiation of breast cancer metastasis.

SUBMITTER: Xu K

PROVIDER: S-EPMC8492772 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.

Xu Kun K Wang Runtian R Xie Hui H Hu Longfei L Wang Cong C Xu Jiali J Zhu Chengjun C Liu Yiqiu Y Gao Fangyan F Li Xintong X Wang Cenzhu C Huang Jinyi J Zhou Wenbin W Zhou Guohua G Shu Yongqian Y Guan Xiaoxiang X Guan Xiaoxiang X

Oncogenesis 20211005 10

Molecular mechanisms underlying breast cancer lymph node metastasis remain unclear. Using single-cell sequencing, we investigated the transcriptome profile of 96,796 single cells from 15 paired samples of primary tumors and axillary lymph nodes. We identified nine cancer cell subclusters including CD44 + / ALDH2 + /ALDH6A1 + breast cancer stem cells (BCSCs), which had a copy-number variants profile similar to that of normal breast tissue. Importantly, BCSCs existed only in primary tumors and evo ...[more]

PMID: 34611125

Similar Datasets

Project description:Colorectal cancer is the third most prevalent type of cancer in the United States. Early diagnosis of lymph node metastases is essential to improve the prognosis for patients with colorectal cancer. Therefore, the present study aimed to screen genetic markers, including single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and mRNA expression, associated with lymph node metastases in patients with colorectal cancer to enable an early diagnosis. Targeted next-generation sequencing was applied to capture SNPs and CNVs in tumor-related candidate genes within tumor tissues from 39 colorectal cancer patients; reverse transcription-quantitative polymerase chain reaction was used to detect the specific mRNA level of tumor-related candidate genes, including vascular endothelial growth factor C, cyclin-A2, Interleukin-2, ATP-binding cassette sub-family G member 2, epidermal growth factor (EGF) and nuclear factor kappa B subunit 1 (NFKB1) on chromosome 4. The SNPs in solute carrier family 28 member 3 (SLC28A3), breast cancer 1 (BRCA1), ribonucleotide reductase regulators subunit M2 (RRM2), PMS1 homolog 2 (PMS2), cytidine deaminase (CDA), epoxide hydrolase 1 (EPHX1), heterogenous ribonucleoprotein particle-associated with lethal yellow (RALY), Siglec-3 (CD33), B cell lymphoma 10 (BCL10), ETS variant 1 (ETV1), macrophage stimulating 1 receptor 1 (MST1R), lysine methyltransferase 2B (KMT2B), B cell lymphoma 2 (BCL2), U6 small nuclear RNA-associated Sm-like protein 3 (LSM3), thyroid transcription factor 1 (TTF1) and mitogen-activated protein 3 kinase 1 (MAP3K1) were significantly associated with lymphatic metastasis (P<0.05). EGF and NFKB1 were both observed to be significantly downregulated in the lymph node metastases group (P<0.05). Although no association between CNVs and lymph node metastases in patients with colorectal cancer was observed in the present study, SNPs in SLC28A3, BRCA1, RRM2, PMS2, CDA, EPHX1, RALY, CD33, BCL10, ETV1, MST1R, KMT2B, BCL2, LSM3, TTF1 and MAP3K1 were significantly associated with colorectal cancer. Downregulation of EGF and NFKB1 was also identified to be associated with lymph node metastases in colorectal cancer. The findings of the current study provide a scientific basis for the clinical inspection of lymphatic metastasis and prognosis prediction, intervention and guidance therapy for patients with colorectal cancer.

Dataset Information

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.

Publications

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets