ArticleScientific reports2015
Derivation of a fifteen gene prognostic panel for six cancers.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 27 citations in OpenAlex.
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- A prognostic and immunological analysis of 7B-containing Kelch structural domain (KLHDC7B) in pan-cancer: a potential target for immunotherapy and survival.Journal of cancer research and clinical oncology · 2023Article
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- Clinical implications of intratumor heterogeneity: challenges and opportunities.Journal of molecular medicine (Berlin, Germany) · 2020Review
- Characterization of Kelch domain-containing protein 7B in breast tumours and breast cancer cell lines.Oncology letters · 2019Article
- Mutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinoma.Scientific reports · 2018Article
- Feedback control of the CXCR7/CXCL11 chemokine axis by estrogen receptor α in ovarian cancer.Molecular oncology · 2018Article
- Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans.Oncotarget · 2018Article
- Investigating the benefits of molecular profiling of advanced non-small cell lung cancer tumors to guide treatments.Oncotarget · 2018Article
- The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas.Oncotarget · 2018Article
- Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients?Oncotarget · 2018Article
- Novel protein signatures suggest progression to muscular invasiveness in bladder cancer.PloS one · 2018Article
- An isoform of AIF1 involved in breast cancer.Cancer cell international · 2018Article
- Beyond cancer genes: colorectal cancer as robust intrinsic states formed by molecular interactions.Open biology · 2017Article
- Integrated analysis of dosage effect lncRNAs in lung adenocarcinoma based on comprehensive network.Oncotarget · 2017Article
- Silencing of Prrx1b suppresses cellular proliferation, migration, invasion and epithelial-mesenchymal transition in triple-negative breast cancer.Journal of cellular and molecular medicine · 2016Article
- Elucidation of molecular and functional heterogeneity through differential expression network analyses of discrete tumor subsets.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hallmarks of cancer deem biological pathways and molecules to be conserved. This approach may be useful for deriving a prognostic gene signature. Weighted Gene Co-expression Network Analysis of gene expression datasets in eleven cancer types identified modules of highly correlated genes and interactive networks conserved across glioblastoma, breast, ovary, colon, rectal and lung cancers, from which a universal classifier for tumor stratification was extracted. Specific conserved gene modules were validated across different microarray platforms and datasets. Strikingly, preserved genes within these modules defined regulatory networks associated with immune regulation, cell differentiation, metastases, cell migration, metastases, oncogenic transformation, and resistance to apoptosis and senescence, with AIF1 and PRRX1 being suggested to be master regulators governing these biological processes. A universal classifier from these conserved networks enabled execution of common set of principles across different cancers that revealed distinct, differential correlation of biological functions with patient survival in a cancer-specific manner. Correlation analysis further identified a panel of 15 risk genes with potential prognostic value, termed as the GBOCRL-IIPr panel [(GBM-Breast-Ovary-Colon-Rectal-Lung)-Immune-Invasion-Prognosis], that surprisingly, were not amongst the master regulators or important network hubs. This panel may now be integrated in predicting patient outcomes in the six cancers.
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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.