ArticlePeerJ2025
Integrative analyses of single-cell and bulk RNA sequencing to construct the tumor-associated macrophage-related prognostic signature in lung adenocarcinoma.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tumor-associated macrophages (TAMs) are a type of tumor-infiltrating immune cell that play a crucial role in tumor progression. However, the roles of TAMs and their regulatory mechanisms in lung adenocarcinoma (LUAD) remain poorly understood. Therefore, we aimed to develop a novel TAM-related prognostic signature to predict survival outcomes and constructed a lncRNA-miRNA-mRNA network based on these genes. Methods: Transcriptomic data, clinical data, and single-cell RNA-sequencing (scRNA-seq) data were obtained from LUAD patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differentially expressed-lncRNAs (DE-lncRNAs), miRNAs (DE-miRNAs), and mRNAs (DEGs) were identified in LUAD. Differentially expressed TAM-related genes (DE-TAMGs) were selected and used to construct prognostic signatures. A TAM-related risk score was calculated, and patients were stratified into high- and low-risk groups based on the median risk score. Then, biological functions, immune characteristics, and responses to immunotherapy and chemotherapy were assessed across the risk groups. A TAM-related lncRNA-miRNA-mRNA network was constructed based on DE-lncRNAs, DE-miRNAs, and TAM-related signatures. Quantitative polymerase chain reaction (qPCR) was used to validate the expression of TAM-related genes, and scRNA-seq analysis was used to examine cell-type-specific expression of these genes. Results: A total of 316 DE-lncRNAs, 162 DE-miRNAs, and 2,601 DEGs were screened in LUAD. Among these, 147 DE-TAMGs were selected. KLF4, GAPDH PDGFB, TIMP1, CD74, and CCL20 were identified as the key prognostic markers in LUAD. Patients were divided into high- and low-risk groups based on the median risk score. Enrichment analysis revealed several cancer-related pathways associated with the high-risk group, and significant differences in terms of immune cell infiltration, HLA-related gene expression, immune checkpoints expression, and therapeutic responses were observed between high- and low-risk groups. We also constructed a lncRNA-miRNA-mRNA network, which included 36 DE-lncRNAs, 23 shared miRNA, and four TAMGs (PDGFB, CD74, KLF4, and CCL20). The qPCR results indicated the increased expression of PDGFB, CD74, and KLF4 but decreased expression of CCL20 in LUAD tumor tissues compared with adjacent normal tissues. scRNA-seq analysis revealed that CD74, KLF4, CCL20, PDGFB were specifically expressed in macrophages. Conclusions: In conclusion, we identify the TAM-related prognostic signature that predicts the survival outcome in patients with LUAD. This signature may offer a novel effective therapeutic strategy for LUAD patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.