Dataset Information

Protein expression-based classification of gastric cancer by immunohistochemistry of tissue microarray.

ABSTRACT: Recently, the Cancer Genome Atlas and Asian Cancer Research Group propose two new classifications system of gastric cancer by using multi-platforms of molecular analyses. However, these highly complicated and cost technologies have not yet been translated into full clinical utility. In addition, the clinicians are expected to gain more guidance of treatment for different molecular subtypes. In this study, we developed a panel of gastric cancer patients in population from Southern China using commercially accessible TMA and immunohistochemical technology. A cohort of 259 GC patients was classified into 4 subtypes on the basis of expression of mismatch repair proteins (PMS2, MLH1, MSH2, and MSH6), E-cadherin and p21 protein. We observed that the subtypes presented distinct prognosis. dMMR-like subtype was associated with the best prognosis, and E-cadherin-a subtype was associated with the worst prognosis. Patients with p21-High and p21-Ligh subtypes had intermediate overall survival. In multivariate analysis, the dMMR-like subtype remained an independent prediction power for overall survival in the model. We described a molecular classification of gastric cancers using clinically applicable assay. The biological relevance of the four subtypes was illustrated by significant differences in prognosis. Our molecular classification provided an effective and inexpensive screening tool for improving prognostic models. Nevertheless, our study should be considered preliminary and carries a limited predictive value as a single-center retrospective study.

SUBMITTER: Zhao C

PROVIDER: S-EPMC7584200 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Protein expression-based classification of gastric cancer by immunohistochemistry of tissue microarray.

Zhao Chong C Feng Zhiqiang Z He Hongzhen H Zang Dan D Du Hong H Huang Hongli H Du Yanlei Y He Jie J Zhou Yongjian Y Nie Yuqiang Y

PloS one 20201023 10

Recently, the Cancer Genome Atlas and Asian Cancer Research Group propose two new classifications system of gastric cancer by using multi-platforms of molecular analyses. However, these highly complicated and cost technologies have not yet been translated into full clinical utility. In addition, the clinicians are expected to gain more guidance of treatment for different molecular subtypes. In this study, we developed a panel of gastric cancer patients in population from Southern China using com ...[more]

PMID: 33095797

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Dataset Information

Protein expression-based classification of gastric cancer by immunohistochemistry of tissue microarray.

Publications

Protein expression-based classification of gastric cancer by immunohistochemistry of tissue microarray.

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