Evidence map›Paper›PMID 19366452›Full record

ArticleJournal of translational medicine2009

Scoring mechanisms of p16INK4a immunohistochemistry based on either independent nucleic stain or mixed cytoplasmic with nucleic expression can significantly signal to distinguish between endocervical and endometrial adenocarcinomas in a tissue microarray study.

Chiew-Loon Koo, Lai-Fong Kok, Ming-Yung Lee, Tina S Wu, Ya-Wen Cheng, Jeng-Dong Hsu, Alexandra Ruan, Kuan-Chong Chao, Chih-Ping Han

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 99 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Chiew-Loon KooDepartment of Pathology, Chung Shan Medical University Hospital, Taichung, Taiwan, ROC. clkoo1510@hotmail.com
Lai-Fong Kok
Ming-Yung Lee
Tina S Wu
Ya-Wen Cheng
Jeng-Dong Hsu
Alexandra Ruan
Kuan-Chong Chao
Chih-Ping Han
Chung Shan Medical University Hospital · TWChung Shan Medical University · TWChina Medical University Hospital · TWJohns Hopkins University · USNational Yang Ming Chiao Tung University · TWUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndocervical adenocarcinomas (ECAs) and endometrial adenocarcinomas (EMAs) are malignancies that affect uterus; however, their biological behaviors are quite different. This distinction has clinical significance, because the appropriate therapy may depend on the site of tumor origin. The purpose of this study is to evaluate 3 different scoring mechanisms of p16INK4a immunohistochemical (IHC) staining in distinguishing between primary ECAs and EMAs.

methodsA tissue microarray (TMA) was constructed using formalin-fixed, paraffin-embedded tissue from hysterectomy specimens, including 14 ECAs and 24 EMAs. Tissue array sections were immunostained with a commercially available antibody of p16INK4a. Avidin-biotin complex (ABC) method was used for antigens visualization. The staining intensity and area extent of the IHC reactions was evaluated using the semi-quantitative scoring system. The 3 scoring methods were defined on the bases of the following: (1) independent cytoplasmic staining alone (Method C), (2) independent nucleic staining alone (Method N), and (3) mean of the sum of cytoplasmic score plus nucleic score (Method Mean of C plus N).

resultsOf the 3 scoring mechanisms for p16INK4a expression, Method N and Method Mean of C plus N showed significant (p-values < 0.05), but Method C showed non-significant (p = 0.245) frequency differences between ECAs and EMAs. In addition, Method Mean of C plus N had the highest overall accuracy rate (81.6%) for diagnostic distinction among these 3 scoring methods.

conclusionAccording to the data characteristics and test effectiveness in this study, Method N and Method Mean of C plus N can significantly signal to distinguish between ECAs and EMAs; while Method C cannot do. Method Mean of C plus N is the most promising and favorable means among the three scoring mechanisms.

Indexed as

AdenocarcinomaBiomarkers, TumorBiopsyCyclin-Dependent Kinase Inhibitor p16Diagnosis, DifferentialEndometrial NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryProtein Array AnalysisUterine Cervical NeoplasmsBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16

Identifiers

PMID19366452
PMCPMC2672079
OpenAlexW1997038527

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.