ArticleCells2019
Single Cell Gene Co-Expression Network Reveals FECH/CROT Signature as a Prognostic Marker.
Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Evaluating the prognosis of prostate cancer through metabolic pathways.Discover oncology · 2025Article
- Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients.Discover oncology · 2023Article
- Identification of potential prognostic markers for lung adenocarcinoma using comprehensive analysis.Molecular medicine reports · 2023Article
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- Article
- scGENA: A Single-Cell Gene Coexpression Network Analysis Framework for Clustering Cell Types and Revealing Biological Mechanisms.Bioengineering (Basel, Switzerland) · 2022Article
- Identification of co-expression hub genes for ferroptosis in kidney renal clear cell carcinoma based on weighted gene co-expression network analysis and The Cancer Genome Atlas clinical data.Scientific reports · 2022Article
- Co-expression of fibrotic genes in inflammatory bowel disease; A localized event?Frontiers in immunology · 2022Article
- The miR-33a-5p/CROT axis mediates ovarian cancer cell behaviors and chemoresistanceFrontiers in endocrinology · 2022Article
- Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.Nature communications · 2021Article
- Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.Bioscience reports · 2021Article
- Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis.PeerJ · 2021Article
- Inferring Cell Subtypes and LncRNA Function by a Cell-Specific CeRNA Network in Breast Cancer.Frontiers in oncology · 2021Article
- Construction of a 6-gene prognostic signature to assess prognosis of patients with pancreatic cancer.Medicine · 2020Observational
- Identification of four hub genes as promising biomarkers to evaluate the prognosis of ovarian cancer in silico.Cancer cell international · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aberrant activation of signaling pathways is frequently observed and reported to be associated with the progression and poor prognosis of prostate cancer (PCa). We aimed to identify key biological processes regulated by androgen receptor (AR) using gene co-expression network from single cell resolution. The bimodal index was used to evaluate whether two subpopulations exist among the single cells. Gene expression among single cells revealed averaging pitfalls and bimodality pattern. Weighted gene co-expression network analysis (WGCNA) was used to identify modules of highly correlated genes. Twenty-nine gene modules were identified and AR-regulated modules were screened by significantly overlapping reported androgen induced differentially expressed genes. The biological function "generation of precursor metabolites and energy" was significantly enriched by AR-regulated modules with bimodality, presenting differential androgen response among subpopulations. Integrating with public ChIP-seq data, two genes FECH, and CROT has AR binding sites. Public in vitro studies also show that androgen regulates FECH and CROT. After receiving androgen deprivation therapy, patients lowly express FECH and CROT. Further survival analysis indicates that FECH/CROT signature can predict PCa recurrence. We reveal the heterogeneous function of "generation of precursor metabolites and energy" upon androgen stimulation from the perspective of single cells. Inhibitors targeting this biological process will facilitate to prevent prostate cancer progression.
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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.