Evidence map›Paper›PMID 24051697›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2014

Keratin 17 in premalignant and malignant squamous lesions of the cervix: proteomic discovery and immunohistochemical validation as a diagnostic and prognostic biomarker.

Luisa F Escobar-Hoyos, Jie Yang, Jiawen Zhu, Julie-Ann Cavallo, Haiyan Zhai, Stephanie Burke, Antonius Koller, Emily I Chen, Kenneth R Shroyer

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

55 citing papers in PubMed, 108 citations in OpenAlex.

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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 1 institution in 1 country.

Luisa F Escobar-Hoyos1] Department of Pharmacological Sciences, Stony Brook School of Medicine, Stony Brook, NY, USA [2] Department of Pathology, Stony Brook School of Medicine, Stony Brook, NY, USA [3] Department of Biology, Research Group Genetic Toxicology and Cytogenetics, Faculty of Natural Sciences and Education, Universidad del Cauca, Popayán, Colombia.
Jie Yang1] Department of Applied Mathematics and Statistics, Stony Brook School of Medicine, Stony Brook, NY, USA [2] Department of Preventive Medicine, Stony Brook School of Medicine, Stony Brook, NY, USA.
Jiawen ZhuDepartment of Applied Mathematics and Statistics, Stony Brook School of Medicine, Stony Brook, NY, USA.
Julie-Ann CavalloDepartment of Pharmacological Sciences, Stony Brook School of Medicine, Stony Brook, NY, USA.
Haiyan ZhaiDepartment of Pathology, Stony Brook School of Medicine, Stony Brook, NY, USA.
Stephanie BurkeDepartment of Pathology, Stony Brook School of Medicine, Stony Brook, NY, USA.
Antonius KollerProteomics Center, Stony Brook School of Medicine, Stony Brook, NY, USA.
Emily I Chen1] Department of Pharmacological Sciences, Stony Brook School of Medicine, Stony Brook, NY, USA [2] Department of Pathology, Stony Brook School of Medicine, Stony Brook, NY, USA [3] Proteomics Center, Stony Brook School of Medicine, Stony Brook, NY, USA.
Kenneth R ShroyerDepartment of Pathology, Stony Brook School of Medicine, Stony Brook, NY, USA.
Stony Brook School · US

Funding

Training Program in Pharmacological SciencesT32GM007518 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI GARCIA-DIAZ, MIGUEL · 1985 to 2021
$5.4M
Specific Detection of Cervical Cancers Using Cytometry-Based Molecular DiagnosticR33CA140084 · NCI · PURDUE UNIVERSITY · PI DAVISSON, VINCENT JO, ROBINSON, JOSEPH PAUL · 2010 to 2012
$1.3M
Acquisition of an Applied Biosystems 4000 QTRAP Mass SpectrometerS10RR023680 · NCRR · STATE UNIVERSITY NEW YORK STONY BROOK · PI IDEN, CHARLES R · 2007 to 2007
$435k
NCI NIH HHS NCI R33CA140084NCI NIH HHS R33 CA140084NCRR NIH HHS S10 RR023680NIGMS NIH HHS T32 GM007518PHS HHS NIAID/NIH 1U19A1091175-01PHS HHS NIH/NCRR 1S10 RR023680-1
6 · The paper itself

Abstract

Most previously described immunohistochemical markers of cervical high-grade squamous intraepithelial lesion (HSIL) and squamous cell carcinoma may help to improve diagnostic accuracy but have a minimal prognostic value. The goals of the current study were to identify and validate novel candidate biomarkers that could potentially improve diagnostic and prognostic accuracy for cervical HSIL and squamous cell carcinoma. Microdissected tissue sections from formalin-fixed paraffin-embedded normal ectocervical squamous mucosa, low-grade squamous intraepithelial lesion (LSIL), HSIL and squamous cell carcinoma sections were analyzed by mass spectrometry-based shotgun proteomics for biomarker discovery. The diagnostic specificity of candidate biomarkers was subsequently evaluated by immunohistochemical analysis of tissue microarrays. Among 1750 proteins identified by proteomic analyses, keratin 4 (KRT4) and keratin 17 (KRT17) showed reciprocal patterns of expression in the spectrum of cases ranging from normal ectocervical squamous mucosa to squamous cell carcinoma. Immunohistochemical studies confirmed that KRT4 expression was significantly decreased in squamous cell carcinoma compared with the other diagnostic categories. By contrast, KRT17 expression was significantly increased in HSIL and squamous cell carcinoma compared with normal ectocervical squamous mucosa and LSIL. KRT17 was also highly expressed in immature squamous metaplasia and in endocervical reserve cells but was generally not detected in mature squamous metaplasia. Furthermore, high levels of KRT17 expression were significantly associated with poor survival of squamous cell carcinoma patients (Hazard ratio=14.76, P=0.01). In summary, both KRT4 and KRT17 expressions are related to the histopathology of the cervical squamous mucosa; KRT17 is highly overexpressed in immature squamous metaplasia, in HSIL, and in squamous cell carcinoma and the level of KRT17 in squamous cell carcinoma may help to identify patients who are at greatest risk for cervical cancer mortality.

Indexed as

ImmunohistochemistryProteomicsAdultAgedBiomarkers, TumorCarcinoma, Squamous CellFemaleHumansKaplan-Meier EstimateKeratin-17Keratin-4MetaplasiaMiddle AgedPrecancerous ConditionsPredictive Value of TestsPrognosisBiomarkers, TumorKeratin-17Keratin-4

Identifiers

PMID24051697
PMCPMC4026928
OpenAlexW2006435578

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.