ArticlePloS one2014
Analysis of gene expression profiles of soft tissue sarcoma using a combination of knowledge-based filtering with integration of multiple statistics.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Comprehensive analyses of potential key genes in active tuberculosis: A systematic review.Medicine · 2021Pooled it
- Expression and prognostic value of PRDX family in colon adenocarcinoma by integrating comprehensive analysis andFrontiers in oncology · 2023Article
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- Primary cilia contribute to the aggressiveness of atypical teratoid/rhabdoid tumors.Cell death & disease · 2022Article
- Risk stratification of gastrointestinal stromal tumors by Nanostring gene expression profiling.Journal of cancer research and clinical oncology · 2022Article
- Metabolic landscapes in sarcomas.Journal of hematology & oncology · 2021Review
- Development and validation of prognostic markers in sarcomas base on a multi-omics analysis.BMC medical genomics · 2021Article
- Overexpression of P4HA1 associates with poor prognosis and promotes cell proliferation and metastasis of lung adenocarcinoma.Journal of Cancer · 2021Article
- Improving Immunotherapy Efficacy in Soft-Tissue Sarcomas: A Biomarker Driven and Histotype Tailored Review.Frontiers in immunology · 2021Review
- Oncogenic Gene-Expression Programs in Leiomyosarcoma and Characterization of Conventional, Inflammatory, and Uterogenic Subtypes.Molecular cancer research : MCR · 2020Article
- STAT1 as a potential prognosis marker for poor outcomes of early stage colorectal cancer with microsatellite instability.PloS one · 2020Article
- Transmembrane and Ubiquitin-Like Domain Containing 1 Protein (TMUB1) Negatively Regulates Hepatocellular Carcinoma Proliferation via Regulating Signal Transducer and Activator of Transcription 1 (STAT1).Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Elucidating the transcriptional program of feline injection-site sarcoma using a cross-species mRNA-sequencing approach.BMC cancer · 2019Article
- Article
- Co-expression Network Analysis Identifies Four Hub Genes Associated With Prognosis in Soft Tissue Sarcoma.Frontiers in genetics · 2019Article
- Dichotomal functions of phosphorylated and unphosphorylated STAT1 in hepatocellular carcinoma.Journal of molecular medicine (Berlin, Germany) · 2019Article
- Article
- Prognostic value of hypoxia-inducible factor-1 alpha and prolyl 4-hydroxylase beta polypeptide overexpression in gastric cancer.World journal of gastroenterology · 2018Article
- Article
- Peroxiredoxin 1 - an antioxidant enzyme in cancer.Journal of cellular and molecular medicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84 × 10(-6) and adjusted p value 2.99 × 10(-3) after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation.
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