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Can single-cell plus bulk RNA-seq predict LUAD survival?

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From 8,170 lung cells and TCGA LUAD bulk data, a six-gene score (CP, GOLM1, CYP4B1, DAPK2, NFIX, FHL2) stratified survival (1-/3-/5-year AUC 0.67/0.67/0.64) and tracked TP53, TMB, and PD-L1.

Source

Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma

Jiang A, Wang J, Liu N, et al. · Frontiers in genetics · 2022

doi.org/10.3389/fgene.2022.833797Read the full paper ↗43 citationscc by

Study at a glance

Design
Computational / modelling — Integrated 10x scRNA-seq (GSE149655) with TCGA bulk RNA-seq; LASSO/Cox risk model validated in GSE31210 and GSE13213.
N
N=8170 · 8,170 QC’d cells from 4 scRNA-seq samples (2 LUAD, 2 normal); bulk model built in TCGA and validated in two GEO LUAD cohorts.
Population
Human LUAD and normal lung single-cell samples plus TCGA/GEO lung adenocarcinoma transcriptomes.
Outcome
Six-gene overall-survival risk score, NMF subtypes, TMB/PD-L1 and immune features.

Structured fields used in claim comparison tables when every cited study has a complete layer.

What they did

Integrated GSE149655 10x scRNA-seq (UMAP, 13 clusters, 9 cell types), found DEGs, WGCNA (329 genes), NMF subtypes in TCGA, then univariate Cox → LASSO → multivariate Cox to build a median-split risk score, validated in GSE31210 and GSE13213.

What they found

High-risk patients had worse OS. Risk was independent of usual clinicopathology. High-risk tumors had more TP53 mutation, higher TMB, PD-L1 upregulation, and cell-cycle/DNA-replication programs. NMF found two bulk subtypes with different immune classes.

The limits

What it doesn't show

Retrospective public data, modest AUCs (~0.64–0.67), and scRNA n=4 samples; the score is not a prospective clinical test and does not prove the six genes cause LUAD.

Key terms

LUAD
Lung adenocarcinoma, the NSCLC subtype modeled here.
scRNA-seq
Single-cell RNA sequencing used to type cells and find marker genes.
WGCNA
Weighted gene co-expression network analysis used to pick a turquoise LUAD module.
LASSO-Cox risk score
Penalized survival model combining six DEG expression values into high vs low risk.
TMB / PD-L1
Tumor mutation burden and an immune-checkpoint ligand higher in the high-risk group.

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QC’d single-cell n was about:

Common questions

How many single cells?

8,170 after quality control from four 10x samples.

Which six genes?

CP, GOLM1, CYP4B1, DAPK2, NFIX, and FHL2.

TCGA AUCs?

0.669, 0.674, and 0.642 for 1-, 3-, and 5-year OS.

External validation?

GSE31210 and GSE13213 showed consistent high- vs low-risk split.

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