2020
DOI: 10.1101/mcs.a004978
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Comparative single-cell RNA sequencing (scRNA-seq) reveals liver metastasis–specific targets in a patient with small intestinal neuroendocrine cancer

Abstract: Genomic analysis of a patients' tumor is the cornerstone of precision oncology, but it doesn't address whether metastases should be treated differently. Here we tested whether comparative scRNA-seq of a primary small intestinal neuroendocrine tumor to a matched liver metastasis could guide treatment of a patients' metastatic disease. Following surgery, the patient was put on maintenance treatment with a somatostatin analog. However, the scRNA-seq analysis revealed that the neuroendocrine epithelial cells in th… Show more

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Cited by 12 publications
(17 citation statements)
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“…In the future, integrating additional assays such as the assessment of ESR1 methylation status, single-cell RNA sequencing (scRNA-seq), and multiplex proteomics as well as characterizing the circulating tumor microenvironment could all provide an even deeper characterization of a patient's tumor, its evolution, and response to therapy ( Goon et al 2009 ; Chung et al 2017 ; Mastoraki et al 2018 ; Jackson et al 2020 ; Rao et al 2020 ). In addition, recent studies have investigated the biological features of cfDNA, such as nucleosome positioning, fragment size analysis, and copy-number alteration analysis as a measure for disease outcome ( Snyder et al 2016 ; Mouliere et al 2018 ; Paymaneh et al 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…In the future, integrating additional assays such as the assessment of ESR1 methylation status, single-cell RNA sequencing (scRNA-seq), and multiplex proteomics as well as characterizing the circulating tumor microenvironment could all provide an even deeper characterization of a patient's tumor, its evolution, and response to therapy ( Goon et al 2009 ; Chung et al 2017 ; Mastoraki et al 2018 ; Jackson et al 2020 ; Rao et al 2020 ). In addition, recent studies have investigated the biological features of cfDNA, such as nucleosome positioning, fragment size analysis, and copy-number alteration analysis as a measure for disease outcome ( Snyder et al 2016 ; Mouliere et al 2018 ; Paymaneh et al 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…14 single‐cell sequencing datasets were collected as follows: basal cell carcinoma (BCC_GSE123813), bladder urothelial carcinoma (BLCA_GSE130001), breast cancer (BRCA_GSE114727), cholangiocarcinoma (CHOL_GSE125449), colorectal cancer (CRC_GSE146771), liver hepatocellular carcinoma (LIHC_GSE125449), kidney renal clear cell carcinoma (KIRC_GSE111360), head and neck squamous cell carcinoma (HNSC_GSE103322), neuroendocrine tumor (NET_GSE140312), stomach adenocarcinoma (STAD_GSE134520), skin cutaneous melanoma (SKCM_GSE123139), pancreatic adenocarcinoma (PAAD_CRA001160), ovarian serous cystadenocarcinoma (OV_GSE118828) and non‐small cell lung cancer (NSCLC_GSE131907) (Table S7 ). 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 The global‐scaling normalization method was applied, and the cells were clustered using the uniform manifold approximation and projection method and annotated.…”
Section: Methodsmentioning
confidence: 99%
“…Dimensionality reduction and clustering analysis allowed the comparison of EC populations in disease samples. First, a change of the relative proportion of ECs compared to other cell types has been noted in some diseases (Figure 3), with for example fewer ECs detected in metastasis compared to primary tumours, 85 while more ECs have been observed in Alzheimer's disease vs. control samples. 64 Within the EC population, a change in the proportion of EC subtypes corresponds to a second level of heterogeneity observed in disease (Figure 3).…”
Section: Endothelial Heterogeneity In Disease 51 Ec Population Shifts...mentioning
confidence: 99%