ArticleOncology letters2018
Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Genetic landscape of cancer: mechanisms, key genes, and therapeutic implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Lablab purpureus phytochemicals demonstrate potential anticancer activity as evidenced through experimental and computational analysis.Scientific reports · 2025Article
- Comparative analysis of genetic risk scores for predicting biochemical recurrence in prostate cancer patients after radical prostatectomy.BMC urology · 2024Article
- In silico Identification of Hypoxic Signature followed by reverse transcription-quantitative PCR Validation in Cancer Cell LinesIranian biomedical journal · 2023Article
- Identification of lncRNA biomarkers for lung cancer through integrative cross-platform data analyses.Aging · 2020Article
- A rectified factor network based biclustering method for detecting cancer-related coding genes and miRNAs, and their interactions.Methods (San Diego, Calif.) · 2019Article
- Fold change based approach for identification of significant network markers in breast, lung and prostate cancer.IET systems biology · 2018Article
- Synstable Fusion: A Network-Based Algorithm for Estimating Driver Genes in Fusion Structures.Molecules (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is one of the leading causes of mortality worldwide, and in particular, breast cancer in women, prostate cancer in men, and lung cancer in both women and men. The present study aimed to identify a common set of genes which may serve as indicators of important molecular and cellular processes in breast, prostate and lung cancer. Six microarray gene expression profile datasets [GSE45827, GSE48984, GSE19804, GSE10072, GSE55945 and GSE26910 (two datasets for each cancer)] and one RNA-Seq expression dataset (GSE62944 including all three cancer types), were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in each individual cancer type using the LIMMA statistical package in R, and then a comparison of the resulting gene lists was performed to identify common DEGs across cancer types. This analysis was performed for microarray and RNA-Seq datasets individually, revealing a set of 62 and 1,290 differentially expressed genes respectively, which may be associated with the three cancers. Out of these genes, 44 were common to both analyses, and hence termed key genes. Gene Ontology functional annotation, Kyoto Encyclopedia of Genes and Genomes pathway mapping and literature citations were used to confirm the role of the key genes in cancer. Finally, the heterogeneity of expression of the key genes was explored using the
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