Evidence map›Paper›PMID 17069663›Full record

ArticleBreast cancer research : BCR2006

Classification of ductal carcinoma in situ by gene expression profiling.

Juliane Hannemann, Arno Velds, Johannes B G Halfwerk, Bas Kreike, Johannes L Peterse, Marc J van de Vijver

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

71 citing papers in PubMed, 162 citations in OpenAlex.

  1. Article
  2. Human Ductal Carcinoma In Situ: Advances and Future Perspectives.Cold Spring Harbor perspectives in medicine · 2023
    Review
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  7. Interobserver variability in upfront dichotomous histopathological assessment of ductal carcinoma in situ of the breast: the DCISion study.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
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  16. Review
  17. Article
  18. The diagnostic challenge of low-grade ductal carcinoma in situ.European journal of cancer (Oxford, England : 1990) · 2017
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Juliane HannemannDivision of Experimental Therapy, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Arno Velds
Johannes B G Halfwerk
Bas Kreike
Johannes L Peterse
Marc J van de Vijver
The Netherlands Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuctal carcinoma in situ (DCIS) is characterised by the intraductal proliferation of malignant epithelial cells. Several histological classification systems have been developed, but assessing the histological type/grade of DCIS lesions is still challenging, making treatment decisions based on these features difficult. To obtain insight in the molecular basis of the development of different types of DCIS and its progression to invasive breast cancer, we have studied differences in gene expression between different types of DCIS and between DCIS and invasive breast carcinomas.

methodsGene expression profiling using microarray analysis has been performed on 40 in situ and 40 invasive breast cancer cases.

resultsDCIS cases were classified as well- (n = 6), intermediately (n = 18), and poorly (n = 14) differentiated type. Of the 40 invasive breast cancer samples, five samples were grade I, 11 samples were grade II, and 24 samples were grade III. Using two-dimensional hierarchical clustering, the basal-like type, ERB-B2 type, and the luminal-type tumours originally described for invasive breast cancer could also be identified in DCIS.

conclusionUsing supervised classification, we identified a gene expression classifier of 35 genes, which differed between DCIS and invasive breast cancer; a classifier of 43 genes could be identified separating between well- and poorly differentiated DCIS samples.

Indexed as

Gene Expression ProfilingBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingFemaleHumans

Identifiers

PMID17069663
PMCPMC1779498
OpenAlexW1951386398

What OpenQuestion holds

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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.