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Diagnostic marker signature for esophageal cancer from transcriptome analysis

Overview of attention for article published in Tumor Biology, December 2015
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Title
Diagnostic marker signature for esophageal cancer from transcriptome analysis
Published in
Tumor Biology, December 2015
DOI 10.1007/s13277-015-4400-4
Pubmed ID
Authors

Ute Warnecke-Eberz, Ralf Metzger, Arnulf H. Hölscher, Uta Drebber, Elfriede Bollschweiler

Abstract

Esophageal cancer is often diagnosed at an advanced stage. Diagnostic markers are needed for achieving a cure in esophageal cancer detecting and treating tumor cells earlier. In patients with locally advanced squamous cell carcinoma of the esophagus (ESCC), we profiled the gene expression of ESCC compared to corresponding normal biopsies for diagnostic markers by genome microarrays. Profiling of gene expression identified 4844 genes differentially expressed, 2122 upregulated and 2722 downregulated in ESCC. Twenty-three overexpressed candidates with best scores from significance analysis have been selected for further analysis by TaqMan low-density array-technique using a validation cohort of 40 patients. The verification rate was 100 % for ESCC. Twenty-two markers were additionally overexpressed in adenocarcinoma of the esophagus (EAC). The markers significantly overexpressed already in earlier tumor stages (pT1-2) of both histological subtypes (n = 19) have been clustered in a "diagnostic signature": PLA2G7, PRAME, MMP1, MMP3, MMP12, LIlRB2, TREM2, CHST2, IGFBP2, IGFBP7, KCNJ8, EMILIN2, CTHRC1, EMR2, WDR72, LPCAT1, COL4A2, CCL4, and SNX10. The marker signature will be translated to clinical practice to prove its diagnostic impact. This diagnostic signature may contribute to the earlier detection of tumor cells, with the aim to complement clinical techniques resulting in the development of better detection of concepts of esophageal cancer for earlier therapy and more favorite prognosis.

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Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Ph. D. Student 5 13%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 3 8%
Other 6 16%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 8 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Medicine and Dentistry 2 5%
Business, Management and Accounting 1 3%
Other 5 13%
Unknown 11 29%