scholarly journals Surface Ki-67 Expression Improves Reproducibility of Dysplasia Diagnosis in Barrett’s Esophagus

2020 ◽  
Vol 153 (5) ◽  
pp. 695-704 ◽  
Author(s):  
Hira Yousaf ◽  
Umar Hayat ◽  
Juan Manivel ◽  
Carlos Iwamoto ◽  
Justin Peltola ◽  
...  

Abstract Objectives Many studies have shown poor reproducibility among pathologists for diagnosing dysplasia in Barrett’s esophagus (BE). Immunohistochemical stains (IHC) are not widely used due to overlapping expression patterns in reactive and dysplastic processes. We hypothesized that markers involved in cell-cycle (cyclin D1, Ki-67, P16), differentiation/cell-cell interaction (β-catenin, SATB2 CD44, OCT4) and senescence (γH2AX) would produce different results in reactive and dysplastic processes. Methods A micrograph album of 40 H&E and matching IHCs depicting optimally oriented lesions were evaluated independently by 3 pathologists. Expression was scored separately in the surface, isthmus, and base regions of the glands. Results Statistical analysis showed that surface Ki-67 expression showed the largest difference in expression and smallest P value (P < .001) for identifying dysplasia. At a cutoff level of 5% or less, negative predictive value (NPV) was 100%. κ correlation between pathologists improved from substantial to almost perfect (0.70-0.95) using ancillary surface Ki-67. Conclusion A case-control study with glass slides including all diagnostic categories using this parameter confirmed improved κ correlation among pathologists (0.29 vs 0.60), better correlation with outcomes (76% vs 69%), increased odd risks (15.3) for progression in positive cases, and an improvement in sensitivity (88% vs 64%) and NPV (88% vs 73%) compared to histology alone.

2021 ◽  
Vol 160 (6) ◽  
pp. S-246
Author(s):  
Matthew G. Bell ◽  
Siddharth Agarwal ◽  
Ramona Lansing ◽  
Rachel E. Rhody ◽  
Cadman L. Leggett ◽  
...  

2015 ◽  
Vol 149 (6) ◽  
pp. 1392-1398 ◽  
Author(s):  
Theresa Nguyen ◽  
Zhigang Duan ◽  
Aanand D. Naik ◽  
Jennifer R. Kramer ◽  
Hashem B. El-Serag

Author(s):  
Rosa Angela Filiberti ◽  
Vincenzo Fontana ◽  
Antonella De Ceglie ◽  
Sabrina Blanchi ◽  
Teresa Lacchin ◽  
...  

2013 ◽  
Vol 144 (5) ◽  
pp. S-840
Author(s):  
Anna P. Lindam ◽  
Bradley J. Kendall ◽  
Aaron P. Thrift ◽  
Graeme A. Macdonald ◽  
Jesper Lagergren ◽  
...  

2014 ◽  
Vol 146 (5) ◽  
pp. S-561
Author(s):  
Theresa Nguyen ◽  
Natalia Khalaf ◽  
David J. Ramsey ◽  
Hashem El-Serag

2016 ◽  
Vol 31 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Maryam Zafeer ◽  
Ishrat Mahjabeen ◽  
Mahmood Akhtar Kayani

Introduction The excision repair cross-complementation group 2 (ERCC2) ATP-dependent helicase is an essential member of the DNA repair pathway. It has been observed to be differentially expressed in different cancers, which shows its involvement in carcinogenesis. Aim In the present study we have tried to determine the association of expression patterns of this gene with head and neck carcinogenesis. Method We first carried out a systematic review of the available studies on the role of ERCC2 in head and neck cancer (HNC). In order to test the hypothesis that the expression patterns of XPD/ERCC2 play a critical role in HNC pathogenesis, we then conducted a population based case-control study on 81 head and neck tumor samples and adjacent normal-tissue control samples. Reverse transcriptase polymerase chain reaction (RT-PCR) and quantitative polymerase chain reaction (qPCR) were used to assess ERCC2 deregulation at the mRNA level. Result Expression analysis showed that the ERCC2 expression level was significantly upregulated (p<0.05) in HNC tissues compared with adjacent normal tissues. Furthermore, the expression pattern of ERCC2 was correlated with the expression pattern of Ki-67 and a significant correlation (r = 0.230, p<0.03) was observed between ERCC2 and Ki-67. Spearman's correlation also showed a significant correlation between ERCC2 expression and tumor stage (r = 0.271, p<0.02) and grade (r = 0.228, p<0.02) of HNC. Conclusions Our data suggest that deregulation of ERCC2 in HNC has the potential to predict a more aggressive cancer phenotype and may be considered a possible biomarker for improved diagnosis and prognosis of HNC.


2010 ◽  
Vol 138 (5) ◽  
pp. S-16 ◽  
Author(s):  
Douglas A. Corley ◽  
Kunal Mehtani ◽  
Wei Zhao ◽  
Jolanda DeBoer ◽  
Noel Weiss ◽  
...  

2017 ◽  
Vol 85 (5) ◽  
pp. AB573
Author(s):  
Megan Q. Chan ◽  
Andrew Blum ◽  
Apoorva K. Chandar ◽  
Yuri Shindo ◽  
Amitabh Chak

2015 ◽  
Vol 148 (4) ◽  
pp. S-211
Author(s):  
Swarup Kumar ◽  
Michele L. Johnson ◽  
Cathy D. Schleck ◽  
Rajesh Krishnamoorthi ◽  
Prasad G. Iyer

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