Evidence map›Paper›PMID 18275599›Full record

ArticleBreast cancer research : BCR2008

Basal cytokeratins in breast tumours among BRCA1, BRCA2 and mutation-negative breast cancer families.

Hannaleena Eerola, Mira Heinonen, Päivi Heikkilä, Outi Kilpivaara, Anitta Tamminen, Kristiina Aittomäki, Carl Blomqvist, Ari Ristimäki, Heli Nevanlinna

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Clinically applicable models to characterize BRCA1 and BRCA2 variants of uncertain significance.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2008
    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

9 authors at 2 institutions in 1 country.

Hannaleena EerolaDepartment of Oncology, Helsinki University Central Hospital, Haartmaninkatu, 00029 HUS, Helsinki Finland. hannaleena.eerola@fimnet.fi
Mira Heinonen
Päivi Heikkilä
Outi Kilpivaara
Anitta Tamminen
Kristiina Aittomäki
Carl Blomqvist
Ari Ristimäki
Heli Nevanlinna
Helsinki University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFinding new immunohistochemical markers that are specific to hereditary breast cancer could help us to select candidates for BRCA1/BRCA2 mutation testing and to understand the biological pathways of tumour development.

methodsUsing breast cancer tumour microarrays, immunohistochemical expression of cytokeratin (CK)-5/6, CK-14 and CK-17 was evaluated in breast tumours from BRCA1 families (n = 46), BRCA2 families (n = 40), non-BRCA1/BRCA2 families (n = 358) and familial breast cancer patients with one first-degree relative affected by breast or ovarian cancer (n = 270), as well as from patients with sporadic breast cancer (n = 364). Staining for CK-5/6, CK-14 and CK-17 was compared between these groups and correlated with other clinical and histological factors.

resultsCK-5/6, CK-14 and CK-17 were detected mostly among oestrogen receptor (ER)-negative, progesterone receptor (PR)-negative and high-grade tumours. We found the highest percentages of samples positive for these CKs among ER-negative/HER2-negative tumours. In univariate analysis, CK-14 was significantly associated with tumours from BRCA1 (39%; P < 0.0005), BRCA2 (27%; P = 0.011), and non-BRCA1/BRCA2 (21%; P < 0.005) families, as compared with sporadic tumours (10%). However, in multivariate analysis, CKs were not found to be independently associated with BRCA1 or BRCA2 mutation status, and the most effective predictors of BRCA1 mutations were age at onset, HER2 status, and either ER or PR status.

conclusionAlthough our study confirms that basal CKs can help to identify BRCA1 mutation carriers, this effect was weaker than previously suggested and CKs did not independently predict BRCA1 mutation either from sporadic or familial breast cancer cases. The most effective, independent predictors of BRCA1 mutations were age at onset, HER2 status, and either ER or PR status, as compared with sporadic or non-BRCA1/BRCA2 cancers.

Indexed as

Apoptosis Regulatory ProteinsBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansImmunohistochemistryKeratin-14Keratin-17Keratin-5Keratin-6KeratinsMiddle AgedMutationApoptosis Regulatory ProteinsBiomarkers, TumorBLID protein, humanBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanKeratin-14Keratin-17Keratin-5Keratin-6Keratins

Identifiers

PMID18275599
PMCPMC2374973
OpenAlexW2050070944

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LicenceCC BY
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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.