ArticleBMC systems biology2008
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates.
Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 31 citations in OpenAlex.
- The Involvement of CSRP1 in Neuroblastoma Differentiation and Apoptosis Impacting Tumor-Suppressive Therapeutic Responses.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Identification of CSRP1 as novel biomarker for hormone-sensitive prostate cancer by the combination of clinical and functional research.Cancer cell international · 2025Article
- CSRP1 gene: a potential novel prognostic marker in acute myeloid leukemia with implications for immune response.Discover oncology · 2024Article
- A study of circulating microRNAs identifies a new potential biomarker panel to distinguish aggressive prostate cancer.Carcinogenesis · 2018Article
- APIM-peptide targeting PCNA improves the efficacy of docetaxel treatment in the TRAMP mouse model of prostate cancer.Oncotarget · 2018Article
- HES6 promotes prostate cancer aggressiveness independently of Notch signalling.Journal of cellular and molecular medicine · 2015Article
- Analysis of Prostate Cancer Susceptibility Variants in South African Men: Replicating Associations on Chromosomes 8q24 and 10q11.Prostate cancer · 2015Article
- Comparative genomic and transcriptomic analyses of LNCaP and C4-2B prostate cancer cell lines.PloS one · 2014Article
- Changes in proteomic profiles in different prostate lobes of male rats throughout growth and development and aging stages of the life span.The Prostate · 2013Article
- A gender-related action of IFNbeta-therapy was found in multiple sclerosis.Journal of translational medicine · 2012Article
- Integrative computational biology for cancer research.Human genetics · 2011Review
- Gender-specific cytokine pathways, targets, and biomarkers for the switch from health to adenoma and colorectal cancer.Clinical & developmental immunology · 2011Article
- Cancer biomarker discovery: the entropic hallmark.PloS one · 2010Article
- Identification of functional modules that correlate with phenotypic difference: the influence of network topology.Genome biology · 2010Article
- Investigation of androgen receptor-dependent alternative splicing has identified a unique subtype of lethal prostate cancer.Asian journal of andrologyArticle
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer is a leading cause of death in the male population, therefore, a comprehensive study about the genes and the molecular networks involved in the tumoral prostate process becomes necessary. In order to understand the biological process behind potential biomarkers, we have analyzed a set of 57 cDNA microarrays containing approximately 25,000 genes.
resultsPrincipal Component Analysis (PCA) combined with the Maximum-entropy Linear Discriminant Analysis (MLDA) were applied in order to identify genes with the most discriminative information between normal and tumoral prostatic tissues. Data analysis was carried out using three different approaches, namely: (i) differences in gene expression levels between normal and tumoral conditions from an univariate point of view; (ii) in a multivariate fashion using MLDA; and (iii) with a dependence network approach. Our results show that malignant transformation in the prostatic tissue is more related to functional connectivity changes in their dependence networks than to differential gene expression. The MYLK, KLK2, KLK3, HAN11, LTF, CSRP1 and TGM4 genes presented significant changes in their functional connectivity between normal and tumoral conditions and were also classified as the top seven most informative genes for the prostate cancer genesis process by our discriminant analysis. Moreover, among the identified genes we found classically known biomarkers and genes which are closely related to tumoral prostate, such as KLK3 and KLK2 and several other potential ones.
conclusionWe have demonstrated that changes in functional connectivity may be implicit in the biological process which renders some genes more informative to discriminate between normal and tumoral conditions. Using the proposed method, namely, MLDA, in order to analyze the multivariate characteristic of genes, it was possible to capture the changes in dependence networks which are related to cell transformation.
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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.