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Merging perspectives: genotype‐directed molecular therapy for hereditary diffuse gastric cancer (HDGC) and E‐cadherin–EGFR crosstalk

Overview of attention for article published in Clinical and Translational Medicine, February 2018
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Title
Merging perspectives: genotype‐directed molecular therapy for hereditary diffuse gastric cancer (HDGC) and E‐cadherin–EGFR crosstalk
Published in
Clinical and Translational Medicine, February 2018
DOI 10.1186/s40169-018-0184-7
Pubmed ID
Authors

Dandan Li, Winifred Lo, Udo Rudloff

Abstract

Hereditary diffuse gastric cancer is a cancer predisposition syndrome associated with germline mutations of the E-cadherin gene (CDH1; NM_004360). Male CDH1 germline mutation carriers have by the age of 80 years an estimated 70% cumulative incidence of gastric cancer, females of 56% for gastric and of 42% for lobular breast cancer. Metastatic HDGC has a poor prognosis which is worse than for sporadic gastric cancer. To date, there have been no treatment options described tailored to this molecular subtype of gastric cancer. Here we review recent differential drug screening and gene expression results in c.1380del CDH1-mutant HDGC cells which identified drug classes targeting PI3K (phosphoinositide 3-kinase), MEK (mitogen-activated protein kinase), FAK (focal adhesion kinase), PKC (protein kinase C), and TOPO2 (topoisomerase II) as selectively more effective in cells with defective CDH1 function. ERK1-ERK2 (extracellular signal regulated kinase) signaling measured as top enriched network in c.1380delA CDH1-mutant cells. We compared these findings to synthetic lethality and pharmacological screening results in isogenic CDH1-/-MCF10A mammary epithelial cells with and without CDH1 expression and current knowledge of E-cadherin/catenin-EGFR cross-talk, and suggest different rationales how loss of E-cadherin function activates PI3K, mTOR, EGFR, or FAK signaling. These leads represent molecularly selected treatment options tailored to the treatment of CDH1-deficient familial gastric cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 5 15%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 35%
Medicine and Dentistry 9 26%
Chemistry 3 9%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#752
of 1,060 outputs
Outputs of similar age
#268,845
of 344,220 outputs
Outputs of similar age from Clinical and Translational Medicine
#7
of 8 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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