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Determination of Tumor Heterogeneity in Colorectal Cancers Using Heterogeneity Tissue Microarrays

Overview of attention for article published in Pathology & Oncology Research, May 2015
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Title
Determination of Tumor Heterogeneity in Colorectal Cancers Using Heterogeneity Tissue Microarrays
Published in
Pathology & Oncology Research, May 2015
DOI 10.1007/s12253-015-9953-4
Pubmed ID
Authors

Phillip R. Stahl, Jessica Schnellert, Christina Koop, Ronald Simon, Andreas Marx, Jakob R. Izbicki, Guido Sauter, Alexander Quaas

Abstract

Cancer is often heterogeneous both on a morphological and on a genetic level. Though resected tumors are often large, molecular tumor analysis is usually restricted to one tissue block. In this project we introduce a new tool for a high-throughput heterogeneity analysis of colorectal cancer. A heterogeneity tissue microarray (TMA) was manufactured from tissues of 340 patients with colorectal cancer. For this purpose 8 different tissue spots were taken from as many different cancer blocks per patient as possible (at least 4 different blocks). Additional tissue samples from 1 to 4 corresponding lymph node metastases were added from 134 patients. The system was then validated by analysing one parameter each known for minimal (p53) or substantial (HER2) heterogeneity in colorectal cancer. P53 alterations as detected by immunohistochemistry were seen in 174 (51.3 %) of 339 analyzable primary tumors of which 23 (13.2 % of positive cases) showed a heterogeneous distribution pattern. HER2 overexpression was seen in 18 (5.4 %) of 336 evaluable tumors. HER2 amplification occurred in 6 (33.3 %) of the 18 cases with HER2 overexpression. Genomic heterogeneity was more prevalent for HER2 alterations than for p53 alterations. For immunohistochemical expression analysis, 16 of 18 positive cases were heterogeneous (88.9 %) and for amplification 3 of 6 cases (50 %) were heterogeneous. Large section validation revealed, however a considerable fraction of heterogeneous cases were due to technical artifacts. In summary, our data suggest, that heterogeneity TMAs are a powerful tool to rapidly screen for molecular heterogeneity in colorectal cancer.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Doctoral Student 4 16%
Student > Master 4 16%
Researcher 2 8%
Student > Bachelor 2 8%
Other 2 8%
Unknown 4 16%
Readers by discipline Count As %
Medicine and Dentistry 12 48%
Agricultural and Biological Sciences 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Business, Management and Accounting 1 4%
Other 2 8%
Unknown 5 20%