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pmid:33879671

In silico screening using bulk and single-cell RNA-seq data identifies RIMS2 as a prognostic marker in basal-like breast cancer: A retrospective study.

Lingyun Zhang · Zheng Liu · Jingqiang Zhu

Medicine · 2021 doi:10.1097/MD.0000000000025414

Paper

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title
In silico screening using bulk and single-cell RNA-seq data identifies RIMS2 as a prognostic marker in basal-like breast cancer: A retrospective study.
doi
10.1097/MD.0000000000025414
pmid
33879671
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Lingyun Zhang
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Zheng Liu
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Jingqiang Zhu
journal
Medicine
year
2021
abstract
ABSTRACT: Single-cell RNA-seq has become a powerful tool to understand tumor cell heterogenicity. This study tried to screen prognosis-related genes in basal-like breast tumors and evaluate their correlations with cellular states at the single-cell level.Bulk RNA-seq data of basal-like tumor cases from The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) and single-cell RNA-seq from GSE75688 were retrospectively reviewed. Kaplan-Meier survival curves, univariate and multivariate analysis based on Cox regression model were conducted for survival analysis. Gene set enrichment analysis (GSEA) and single-cell cellular functional state analysis were performed.Twenty thousand five hundred thirty genes with bulk RNA-seq data in TCGA were subjected to screening. Preliminary screening identified 10 candidate progression-related genes, including CDH19, AQP5, SDR16C5, NCAN, TTYH1, XAGE2, RIMS2, GZMB, LY6D, and FAM3B. By checking their profiles using single-cell RNA-seq data, only CDH19, SDR16C5, TTYH1, and RIMS2 had expression in primary triple-negative breast cancer (TNBC) cells. Prognostic analysis only confirmed that RIMS2 expression was an independent prognostic indicator of favorable progression free survival (PFS) (HR: 0.78, 95%: 0.64-0.95, P = .015). GSEA analysis showed that low RIMS2 group expression had genes significantly enriched in DNA Repair, and MYC Targets V2. Among the 89 basal-like cells, RIMS2 expression was negatively correlated with DNA repair and epithelial-to-mesenchymal transition (EMT).RIMS2 expression was negatively associated with DNA repair capability of basal-like breast tumor cells and might serve as an independent indicator of favorable PFS.
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The prognostic significance of the candidate progression-related genes in patients with basal-like tumors was examined by performing Kaplan–Meier survival analysis using the Kaplan–Meier plotter (http://kmplot.com/analysis/), which is an online tool for survival analysis based on over 1800 patients collected from different GEO datasets.
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sections[6] "Meta-analysis-based prognostic analysis using the Kaplan–Meier plotter" paragraph 2
quote
The prognostic significance of the candidate progression-related genes in patients with basal-like tumors was examined by performing Kaplan–Meier survival analysis using the Kaplan–Meier plotter (http://kmplot.com/analysis/), which is an online tool for survival analysis based on over 1800 patients collected from different GEO datasets.
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sections[18] "Footnotes" paragraph 2
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All data generated or analyzed during this study are included in this published article [and its supplementary information files].
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Single cell RNA sequencing of primary breast cancer.
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Univariate and multivariate analysis of PFS in basal-like cases in TCGA.
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RIMS2 might be an independent prognostic biomarker for PFS in patients with basal-like tumors
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9
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Table 1
caption
Univariate and multivariate analysis of PFS in basal-like cases in TCGA.
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[1]
Univariate analysis
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Multivariate analysis
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[0]
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P
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HR
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95%CI (lower/upper)
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[0]
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[7]
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N1/N2/N3 (N = 46)
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[4]
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0.445
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0.195
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1.014
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0.891
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7.790
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Radiation therapy
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[2]
1.000
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[4]
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[0]
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3.034
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1.232
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7.473
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3.414
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1.286
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Targeted molecular therapy
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[0]
Yes (N = 87)
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[2]
1.000
[3]
[4]
[5]
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[7]
[8]
[18] array · 9 items
[0]
No (N = 10)
[1]
.62
[2]
1.458
[3]
0.335
[4]
6.348
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[6]
[7]
[8]
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[0]
CDH19 expression
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0.834
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0.722
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0.963
[5]
.08
[6]
0.868
[7]
0.742
[8]
1.015
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[0]
RIMS2 expression
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.01
[2]
0.778
[3]
0.642
[4]
0.943
[5]
.02
[6]
0.781
[7]
0.640
[8]
0.953
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OS
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[0]
RIMS2 expression
[1]
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[2]
0.986
[3]
0.817
[4]
1.188
[5]
[6]
[7]
[8]
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section[12]/table-wrap[1]#T1
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The prognostic significance of the candidate progression-related genes in patients with basal-like tumors was examined by performing Kaplan–Meier survival analysis using the Kaplan–Meier plotter (http://kmplot.com/analysis/), which is an online tool for survival analysis based on over 1800 patients collected from different GEO datasets.
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All data generated or analyzed during this study are included in this published article [and its supplementary information files].
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The paper names GSE75688 in CancerSEA and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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In silico screening using bulk and single-cell RNA-seq data identifies RIMS2 as a prognostic marker
[1]
ABSTRACT: Single-cell RNA-seq has become a powerful tool to understand tum
[2]
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[3]
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silico screening using bulk and single-cell RNA-seq data identifies RIMS2 as a prognostic marker
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ABSTRACT: Single-cell RNA-seq has become a powerful tool to understand tum
[2]
ellular states at the single-cell level.Bulk RNA-seq data of basal-like tumor cases from The Canc
[3]
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This study tried to screen prognosis-related genes in basal-like breast tumors and evaluate their correlations with cellular states at the single-cell level.Bulk RNA-seq data of basal-like tumor cases from The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) and single-cell RNA-seq from GSE75688 were retrospectively reviewed. Kaplan-Meier survival curves, univariate and multivariate analysis based on Cox regression model were conducted for survival analysis. Gene set enrichment analysis (GSEA) and single-cell cellular functional state analysis were performed.Twenty thousand five hundred thirty genes with bulk RNA-seq data in TCGA were subjected to screening. Preliminary screening identified 10 candidate progression-related genes, including CDH19, AQP5, SDR16C5, NCAN, TTYH1, XAGE2, RIMS2, GZMB, LY6D, and FAM3B. By checking their profiles using single-cell RNA-seq data, only CDH19, SDR16C5, TTYH1, and RIMS2 had expression in primary triple-negative breast cancer (TNBC) cells. Prognostic analysis only confirmed that RIMS2 expression was an independent prognostic indicator of favorable progression free survival (PFS) (HR: 0.78, 95%: 0.64-0.95, P = .015). GSEA analysis showed that low RIMS2 group expression had genes significantly enriched in DNA Repair, and MYC Targets V2. 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