Evidence map›Paper›PMID 22563533›Full record

ArticleJournal of the Korean Surgical Society2012

Gene expression profiling of papillary thyroid carcinomas in Korean patients by oligonucleotide microarrays.

Ki-Wook Chung, Seok Won Kim, Sun Wook Kim

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Korean Surgical Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. TYRO3: A potential therapeutic target in cancer.Experimental biology and medicine (Maywood, N.J.) · 2019
    Review
  8. Review
  9. Article
  10. TUSC3: functional duality of a cancer gene.Cellular and molecular life sciences : CMLS · 2018
    Review
  11. Review
  12. Article
  13. Article
  14. A panel of four genes accurately differentiates benign from malignant thyroid nodules.Journal of experimental & clinical cancer research : CR · 2016
    Article
  15. Article
  16. Primary leiomyosarcoma of the thyroid.Journal of the Korean Surgical Society · 2013
    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

3 authors at 2 institutions in 1 country.

Ki-Wook ChungCenter for Thyroid Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Seok Won Kim
Sun Wook Kim
Sungkyunkwan University · KRNational Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe incidence of papillary thyroid carcinomas (PTCs) is rapidly increasing in Korea. Analyzing the gene expression profiling (GEP) of PTCs will facilitate the advent of new methods in diagnosis, prognostication, and treatment. We performed this study to find the GEP of Korean PTCs.

methodsWe performed oligonucleotide microarray analysis with 19 PTCs and 7 normal thyroid glands. Differentially expressed genes were selected using a t-test (|fold| >3) and adjusted Benjamini-Hochberg false discovery rate P-value < 0.01. Quantitative reverse transcription-polymerase chain reaction (QRT-PCR) was used to validate microarray data. A classification model was developed by support vector machine (SVM) algorithm to diagnose PTCs based on molecular signatures.

resultsWe identified 79 differentially expressed genes (70 up-regulated and 9 down-regulated) according to the criteria. QRT-PCR for five genes (CDH3, NGEF, PROS1, TGFA, MET) was confirmatory of the microarray data. Hierarchical cluster analysis and a classification model by the SVM algorithm accurately differentiated PTCs from normal thyroid gland based on GEP.

conclusionA disease classification model showed excellent accuracy in diagnosing PTCs, thus showing the possibility of molecular diagnosis in the future. This GEP could serve as baseline data for further investigation in the management of PTCs based on molecular signatures.

Indexed as

Gene expression profilingMicroarrayPapillaryThyroid neoplasms

Identifiers

PMID22563533
PMCPMC3341475
OpenAlexW2129468595

What OpenQuestion holds

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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.