2003
DOI: 10.1093/jnci/95.8.598
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Using Gene Expression Ratios to Predict Outcome Among Patients With Mesothelioma

Abstract: Gene expression ratio-based analysis accurately predicts treatment-related outcome in mesothelioma samples. This technique could impact the clinical treatment of mesothelioma by allowing the preoperative identification of patients with widely divergent prognoses.

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Cited by 173 publications
(160 citation statements)
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“…Singhal et al (2003) identified genes differentially expressed in tumors compared with normal tissue. Pass et al (2004) and Gordon et al (2003) have identified distinct signatures of prognosis in resected pleural mesothelioma, which interestingly were independent of histology subtype. More recently, Gordon et al (2005) used unsupervised clustering to identify three groups of tumors, two of which were comprised primarily of epithelial and biphasic tumors, respectively.…”
Section: Discussionmentioning
confidence: 95%
“…Singhal et al (2003) identified genes differentially expressed in tumors compared with normal tissue. Pass et al (2004) and Gordon et al (2003) have identified distinct signatures of prognosis in resected pleural mesothelioma, which interestingly were independent of histology subtype. More recently, Gordon et al (2005) used unsupervised clustering to identify three groups of tumors, two of which were comprised primarily of epithelial and biphasic tumors, respectively.…”
Section: Discussionmentioning
confidence: 95%
“…According to this score, only 2 adenoma specimens out of the 26 analyzed (7%) were misclassified, as their score was comparable to that of PaC group. The use of genes-score or gene-ratios is a relative new strategy for the identification of patients with different prognosis or disease outcome (Gordon et al 2003, Paik et al 2004, Stamatopoulos et al 2009). This observation implies that not single gene but rather small gene-sets could be useful prognostic or predictive factor even when a highly heterogeneous sample population, as parathyroid adenomas, is investigated.…”
Section: S Corbetta V Vaira Et Al: Mir In Parathyroid Carcinomasmentioning
confidence: 99%
“…Tetraspanins are characterized by four transmembrane domains delimiting two extracytoplasmic regions of unequal size (13). Elevated expression of TM4SF1 has been reported in several tumor types, and is implicated in cancer cell migration and patient outcome, but it adopts different roles that are dependent upon tumor type (14)(15)(16)(17). In addition, TM4SF1 is important for endothelial cell migration and tumor angiogenesis (18,19), although the underlying mechanism of its function is not clear, especially in pancreatic cancer.…”
Section: Introductionmentioning
confidence: 99%