2013
DOI: 10.1016/j.jtcvs.2012.10.031
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Gene expression profiles in esophageal adenocarcinoma predict survival after resection

Abstract: Global gene expression levels were significantly associated with overall survival after esophagectomy. Furthermore, individual genes could be successfully combined into a strongly predictive, internally cross-validated gene signature. If validated further, these results could help direct additional clinical trials of neoadjuvant and adjuvant therapies for esophageal adenocarcinoma.

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Cited by 24 publications
(22 citation statements)
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“…SPARC expression itself was shown to correlate with poor survival in esophageal cancer [14]. Based on both published marker genes that are predictive for survival [8] and on a Kaplan-Meier survival analysis we showed that high IMP2 expression was linked to short survival. The prognostic relevance of IMP2 expression has been described for other cancer types [1517].…”
Section: Discussionmentioning
confidence: 91%
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“…SPARC expression itself was shown to correlate with poor survival in esophageal cancer [14]. Based on both published marker genes that are predictive for survival [8] and on a Kaplan-Meier survival analysis we showed that high IMP2 expression was linked to short survival. The prognostic relevance of IMP2 expression has been described for other cancer types [1517].…”
Section: Discussionmentioning
confidence: 91%
“…Although, IMP2 expression was not related to lymph node metastasis (data not shown), distant metastasis showed increased IMP2 protein levels compared to primary tumor tissue (Figure 3C; Table 1; p = 0.0042). In order to test whether IMP2 expression correlates with prognosis, we analyzed the marker genes shown to be predictive for survival defined by Pennathur et al [8] in the gene expression dataset GSE13898. Pennathur's marker genes had similar expression profiles in this dataset suggesting similar survival relations for the clustered samples.…”
Section: Resultsmentioning
confidence: 99%
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“…Gene expression profiles have been identified that can be used to prospectively place patients in high-risk and low-risk survival cohorts following esophagectomy according to their tumor's genetic signature (15) and to accurately predicted prognosis and chemosensitivity, and chemoresistance to various adjuvant chemotherapeutic agents (16). Finally, microarray analyses have also led to the identification of novel oncogenic genes that may one day serve as potential therapeutic targets in the future (12).…”
Section: Molecular Medicinementioning
confidence: 99%
“…Notable modifications to previous staging classifications made in this most recent edition include the classification of T4 lesions as resectable (T4a) or unresectable (T4b), the stratification of N stage by number of nodes involved, and the stratification of stage according to tumor histology, degree of differentiation (grade), and location (1,(7)(8)(9) (Table 1). In the future, refinements in molecular staging of esophageal cancer with analysis of gene expression profiles may also play a role in risk stratification and in the treatment algorithm of esophageal cancer (10).…”
Section: Esophageal Cancer Stagingmentioning
confidence: 99%