Evidence map›Paper›PMID 19259350›Full record

ArticleYonsei medical journal2009

Identification of differentially expressed genes in papillary thyroid cancers.

Ki-Young Lee, Song Mei Huang, Shengjin Li, Jin-Man Kim

Abstract read
In one paragraph

Article in Yonsei medical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Microarray analysis of papillary thyroid cancers in Korean.The Korean journal of internal medicine · 2010
    Article
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

4 authors.

Ki-Young LeeDepartment of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Song Mei Huang
Shengjin Li
Jin-Man Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTechniques designed to identify differentially expressed genes (DEGs) in tumors have become important in modern pathology. Genefishing technique using the annealing control primer (ACP) system has recently been developed to screen for DEG transcripts. We tried to identify DEGs involved in papillary thyroid cancer (PTC) by using Genefishing technique. MATERIALS AND

methodsWe utilized a new differential display method, designated with Genefishing technique, to analyze DEGs in 21 cases of PTCs.

resultsComparing the gene expression profiles between PTC and normal thyroid, we detected 17 genes that were differentially expressed in PTCs and performed cloning with sequencing in 10 genes. We confirmed the expression patterns of 2 DEGs by RT-PCR assay and identified the same results in 17 out of 21 (81%) PTCs. The 2 DEGs over-expressed in PTCs were identified as DC-STAMP and type I collagen A1. They are novel genes identified first in PTCs.

conclusionWe confirmed 2 DEGs in PTCs as DC-STAMP and type I collagen A1 by using Genefishing technique. Although the detailed functions of those 2 genes and their products remain to be determined, the genes will provide insights into mechanisms of carcinogenesis or tumor progression in PTCs.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAdaptor Proteins, Signal TransducingAdolescentAdultAgedCarcinoma, PapillaryCollagen Type ICollagen Type I, alpha 1 ChainFemaleHumansMaleMembrane ProteinsMiddle AgedReverse Transcriptase Polymerase Chain ReactionThyroid NeoplasmsAdaptor Proteins, Signal TransducingCollagen Type ICollagen Type I, alpha 1 ChainDCSTAMP protein, humanMembrane Proteinsdendritic cell-specific transmembrane proteindifferentially expressed genesPapillary thyroid cancertype I collagen A1

Identifiers

PMID19259350
PMCPMC2649849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.