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Distinctive features of immunostaining and mutational load in primary pulmonary enteric adenocarcinoma: implications for differential diagnosis and immunotherapy

Overview of attention for article published in Journal of Translational Medicine, March 2018
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3 tweeters

Citations

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Title
Distinctive features of immunostaining and mutational load in primary pulmonary enteric adenocarcinoma: implications for differential diagnosis and immunotherapy
Published in
Journal of Translational Medicine, March 2018
DOI 10.1186/s12967-018-1449-z
Pubmed ID
Authors

Ming Chen, Pu Liu, Feifei Yan, Suzhen Xu, Qi Jiang, Jingying Pan, Mengye He, Peng Shen

Abstract

Primary pulmonary enteric adenocarcinoma (PEAC) is an extremely rare variant of invasive lung cancer. It is highly heterogeneous while shares some common morphologic and immunohistochemical features with usual pulmonary adenocarcinoma (PAC) and colorectal adenocarcinoma (CRAC), making the differential diagnosis difficult. At present there are only limited studies about distinctive features of primary PEAC and the results are often inconsistent. We retrospectively analyzed total 129 primary PEACs and 50 CRACs that were published since 1991 or diagnosed in our centre. Among them eight typical samples of primary PEACs and usual PACs were detected by targeted exome sequencing. The combination of CK7+/CDX2+acquires high sensitivity (71.3%) and specificity (82%) in differential diagnosis of PEACs from CRAC. The primary PEACs harbor a high incidence of KRAS mutation but almost absent of EGFR mutation. Moreover, compared with usual PACs, the primary PEACs have higher nonsynonymous tumor mutation burden and more frequent MMR mutation. The combination of CK7+/CDX2+immunostaining and the distinctive genetic signatures, including low incidence of sensitivity genes mutations and high tumor mutation burden, is an important supplementary to the clinical differential diagnosis of primary PEACs. Our findings thus have significant implications for development of individualized treatment strategy in these patients.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Postgraduate 3 12%
Student > Master 3 12%
Other 2 8%
Researcher 2 8%
Other 3 12%
Unknown 8 31%
Readers by discipline Count As %
Medicine and Dentistry 12 46%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 10 38%

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 28 October 2022.
All research outputs
#17,579,230
of 22,562,129 outputs
Outputs from Journal of Translational Medicine
#2,694
of 3,931 outputs
Outputs of similar age
#216,063
of 300,624 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 22,562,129 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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