Evidence map›Paper›PMID 19834583›Full record

ArticleProteomics. Clinical applications2009

Characterization of Molecular Markers Indicative of Cervical Cancer Progression.

Hilal Arnouk, Mark A Merkley, Robert H Podolsky, Hubert Stöppler, Carlos Santos, Manuel Alvarez, Julio Mariategui, Daron Ferris, Jeffrey R Lee, William S Dynan

Open access · greenAbstract read
In one paragraph

Article in Proteomics. Clinical applications, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 81 citations in OpenAlex.

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  15. Tryptophanyl-tRNA Synthetase as a Potential Therapeutic Target.International journal of molecular sciences · 2021
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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

10 authors at 2 institutions in 2 countries.

Hilal ArnoukInstitute of Molecular Medicine and Genetics, Medical College of Georgia, Augusta, GA.
Mark A Merkley
Robert H Podolsky
Hubert Stöppler
Carlos Santos
Manuel Alvarez
Julio Mariategui
Daron Ferris
Jeffrey R Lee
William S Dynan
Augusta University · USInstituto Nacional de Enfermedades Neoplásicas · PE

Funding

Laser Capture Microscopy and 2D-DIGE: Cancer ProteomicsR33CA095941 · NCI · MEDICAL COLLEGE OF GEORGIA (MCG) · PI DYNAN, WILLIAM S · 2005 to 2007
$1.0M
Laser Capture Microscopy and 2D-DIGE: Cancer ProteomicsR21CA095941 · NCI · MEDICAL COLLEGE OF GEORGIA (MCG) · PI DYNAN, WILLIAM S · 2002 to 2004
$194k
NCI NIH HHS R33 CA095941
6 · The paper itself

Abstract

Cervical cancer originates with human papillomavirus (HPV) infection and progresses via histologically-defined premalignant stages. Here we compare normal cervical epithelium and patient-matched high grade squamous intraepithelial lesions (HSIL) with cervical carcinoma tissue from the same patient population (n=10 per group). Specimens were analyzed by combined laser capture microdissection and 2D-DIGE. Significant expression changes were seen with 53 spots resulting in identification of 23 unique proteins at the molecular level. These include eight that uniquely distinguish normal epithelium and HSIL and four that uniquely distinguish HSIL and carcinoma. In addition, one protein, cornulin, distinguishes all three states. Other identified proteins included differentiation markers, oncogene DJ-1, serpins, stress and interferon-responsive proteins, detoxifying enzymes, and serum transporters. A literature review, performed for all identified proteins, allowed most changes to be assigned to one of three causes: direct or indirect HPV oncoprotein interactions, growth selection during latency, or interactions in the lesion microenvironment. Selected findings were confirmed by immunohistochemistry using either frozen sections from the same cohort or formalin fixed paraffin embedded samples from a tissue microarray. Novel markers described here have potential applications for increasing the predictive value of current screening methods.

Identifiers

PMID19834583
PMCPMC2761690
OpenAlexW2039741656

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.