Evidence map›Paper›PMID 17543121›Full record

ArticleBMC genomics2007

Comprehensive serial analysis of gene expression of the cervical transcriptome.

Ashleen Shadeo, Raj Chari, Greg Vatcher, Jennifer Campbell, Kim M Lonergan, Jasenka Matisic, Dirk van Niekerk, Thomas Ehlen, Dianne Miller, Michele Follen and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Thymopoietin-The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  2. Parasitology · 2021
    Article
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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

12 authors at 2 institutions in 2 countries.

Ashleen ShadeoCancer Genetics & Developmental Biology, British Columbia Cancer Research Centre, Vancouver, BC, Canada. ashadeo@bccrc.ca
Raj Chari
Greg Vatcher
Jennifer Campbell
Kim M Lonergan
Jasenka Matisic
Dirk van Niekerk
Thomas Ehlen
Dianne Miller
Michele Follen
Wan L Lam
Calum MacAulay
BC Cancer Agency · CAThe University of Texas MD Anderson Cancer Center · US

Funding

Technical FeasibilityP01CA082710 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GUILLAUD, MARTIAL · 1999 to 2014
$28.7M
Optical Systems for In Vivo Molecular Imaging of CancerR01CA103830 · NCI · UNIVERSITY OF TEXAS AUSTIN · PI RICHARDS-KORTUM, REBECCA R. · 2004 to 2015
$12.4M
NCI NIH HHS 5 P01 CA 82710-07NCI NIH HHS 7P01 CA 103830NCI NIH HHS P01 CA082710NCI NIH HHS R01 CA103830
6 · The paper itself

Abstract

backgroundMore than half of the approximately 500,000 women diagnosed with cervical cancer worldwide each year will die from this disease. Investigation of genes expressed in precancer lesions compared to those expressed in normal cervical epithelium will yield insight into the early stages of disease. As such, establishing a baseline from which to compare to, is critical in elucidating the abnormal biology of disease. In this study we examine the normal cervical tissue transcriptome and investigate the similarities and differences in relation to CIN III by Long-SAGE (L-SAGE).

resultsWe have sequenced 691,390 tags from four L-SAGE libraries increasing the existing gene expression data on cervical tissue by 20 fold. One-hundred and eighteen unique tags were highly expressed in normal cervical tissue and 107 of them mapped to unique genes, most belong to the ribosomal, calcium-binding and keratinizing gene families. We assessed these genes for aberrant expression in CIN III and five genes showed altered expression. In addition, we have identified twelve unique HPV 16 SAGE tags in the CIN III libraries absent in the normal libraries.

conclusionEstablishing a baseline of gene expression in normal cervical tissue is key for identifying changes in cancer. We demonstrate the utility of this baseline data by identifying genes with aberrant expression in CIN III when compared to normal tissue.

Indexed as

Gene Expression ProfilingGene Expression RegulationTranscription, GeneticCervix UteriEpitheliumExpressed Sequence TagsFemaleGene Expression Regulation, NeoplasticGene LibraryGenome, ViralHuman papillomavirus 16HumansOrgan SpecificityReproducibility of ResultsUterine Cervical DysplasiaUterine Cervical Neoplasms

Identifiers

PMID17543121
PMCPMC1899502
OpenAlexW1966365928

What OpenQuestion 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 OpenQuestion graph.