Integrative molecular concept modeling of prostate cancer progression
By S. Tomlins, R. Mehra, Daniel R. Rhodes, Xuhong Cao, L. Wang, S. Dhanasekaran, Shanker Kalyana-Sundaram, J. Wei, Mark A. Rubin, K. Pienta and 2 more. Nature Genetics, 2007
878 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/b9d8ce5ce5774a33f571f46794e84a288171f059
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In Cancer Research
In Molecular Biology
- K. Guan
- Arul M. Chinnaiyan
- Bin Zhao
- X. S. Liu
- Yong Zhang
- Ralf Herwig
- Atanas Kamburov
- Clifford A. Meyer
In Pulmonary and Respiratory Medicine
Citations in the corpus
- Androgen Receptor Regulates a Distinct Transcription Program in Androgen-Independent Prostate Cancer (2009, result): “LNCaP cells have a greater number of higher affinity AR binding sites than do abl cells (Figures 2A and S5), which is consistent with a previous report showing that androgen signaling activity is significantly decreased in AIPC compared with ADPC (Tomlins et al., 2007).”
- A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling. (2014, background): “Molecular analyses of localized PCa have enabled the investigation of prognostic markers including tissue-based gene expression signatures, systems pathology profiles, and urine-based molecular markers [15,16].”
- The ConsensusPathDB interaction database: 2013 update (2012, background): “Figure 3 depicts a network module induced by a list of genes differentially expressed in metastatic prostate cancer compared with primary prostate carcinoma [data obtained from (42) and available as an example gene set on the ConsensusPathDB web site].”
- Role of the TMPRSS2-ERG gene fusion in prostate cancer. (2008, neutral): “In this study, over-expression of ERG in benign prostate cells markedly increased invasion but did not result in transformation, similar to experiments with ETV1 and ETV5 [3,33].”
- Clustering cancer gene expression data: a comparative study (2008, neutral): “Armstrong-V1 [52] Affy Blood 72 2 24,48 12582 1081 Armstrong-V2 [52] Affy Blood 72 3 24,20,28 12582 2194 Bhattacharjee [9] Affy Lung 203 5 139,17,6,21,20 12600 1543 Chowdary [13] Affy Breast, Colon 104 2 62,42 22283 182 Dyrskjot [14] Affy Bladder 40 3 9,20,11 7129 1203 Golub-V1 [3] Affy Bone marrow ”
- The role of YAP transcription coactivator in regulating stem cell self-renewal and differentiation. (2010, methodology): “To obtain a functional taxonomy of the YAP-bound genes, we performed molecular concept map (MCM) analysis for enrichment of these genes in ;20,000 molecular concepts/ gene sets either collected from the literature or predefined in the Oncomine database (http://www.oncomine. org; Scott et al. 2007).”
- Molecular genetics of prostate cancer: new prospects for old challenges. (2010, background): “…rearrangements that activate members of the ETS family of transcription factors (ERG, ETV1, and ETV4) in the majority of prostate carcinomas (Tomlins et al. 2005, 2007a; Iljin et al. 2006; Mehra et al. 2007b; Mosquera et al. 2007; Hu et al. 2008; Rouzier et al. 2008; Saramaki et al. 2008).”
- Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. (2007, background): “progression based on laser capture microdissection microarray profiles, identifying key process and regulatory mechanisms at work in cancer progression [26].”