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Increasing diagnostic accuracy to grade dysplasia in Barrett’s esophagus using an immunohistochemical panel for CDX2, p120ctn, c-Myc and Jagged1

Overview of attention for article published in Diagnostic Pathology, February 2016
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Title
Increasing diagnostic accuracy to grade dysplasia in Barrett’s esophagus using an immunohistochemical panel for CDX2, p120ctn, c-Myc and Jagged1
Published in
Diagnostic Pathology, February 2016
DOI 10.1186/s13000-016-0473-7
Pubmed ID
Authors

Dipti M. Karamchandani, Heather L. Lehman, Sara E. Ohanessian, Julie Massé, Patricia A. Welsh, Robert D. Odze, John R. Goldblum, Arthur S. Berg, Douglas B. Stairs

Abstract

Patients with non-dysplastic Barrett's esophagus (ND-BE) and low-grade dysplasia (LGD) are typically monitored by periodic endoscopic surveillance, while those with high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) are usually treated by more aggressive interventions like endoscopic mucosal resection, ablation or surgery. Therefore, the accurate grading of dysplasia in Barrett's esophagus (BE) is essential for proper patient care. However, there is significant interobserver and intraobserver variability in the histologic grading of BE dysplasia. The objective of this study was to create an immunohistochemical (IHC) panel that facilitates the grading of BE dysplasia and can be used as an adjunct to histology in challenging cases. 100 BE biopsies were re-graded for dysplasia independently by 3 subspecialized gastrointestinal pathologists. IHC staining for CDX2, p120ctn, c-Myc and Jagged1 proteins was then performed and assessed by two separate methods of semi-quantitative scoring. Scores were integrated using a principal component analysis (PCA) and receiver operating characteristic (ROC) curve. Principal component analysis demonstrated the ability of this panel of proteins to segregate ND-BE/LGD and HGD/EAC, as the expression of the four proteins is significantly altered between the two subsets. Analysis of the receiver operating characteristic curve showed that this panel has the potential to aid in the grading of dysplasia in these two subcategories with both high sensitivity and specificity. While not able to discriminate between ND-BE and LGD, this panel of four proteins may be used as an adjunct to help discriminate subsets of ND-BE/LGD from HGD/EAC. We propose that the maximum utility of this IHC panel of CDX2, p120ctn, c-Myc, and Jagged1 proteins would be to distinguish between LGD and HGD in histologically challenging cases, given the aggressive interventions still used for HGD in many institutions, and hence may aid in the optimal patient management. The results of this initial study are promising, though further validation is needed before this panel can be used clinically, including future randomized prospective studies with larger patient cohorts from diverse locations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Student > Ph. D. Student 4 13%
Student > Postgraduate 3 10%
Student > Master 3 10%
Researcher 2 6%
Other 6 19%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 15 48%
Agricultural and Biological Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 March 2016.
All research outputs
#14,839,922
of 22,852,911 outputs
Outputs from Diagnostic Pathology
#493
of 1,128 outputs
Outputs of similar age
#166,901
of 297,594 outputs
Outputs of similar age from Diagnostic Pathology
#10
of 13 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,128 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 297,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.