Evidence map›Paper›PMID 21153724›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2011

The role of S100 genes in breast cancer progression.

Eadaoin McKiernan, Enda W McDermott, Dennis Evoy, John Crown, Michael J Duffy

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A prospective proteomic-based study for identifying potential biomarkers for the diagnosis of cholangiocarcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2013
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  11. Analysis of community connectivity in spatial transcriptomics data.Frontiers in applied mathematics and statistics · 2024
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18 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

5 authors at 2 institutions in 1 country.

Eadaoin McKiernanDepartment of Pathology and Laboratory Medicine, St Vincent's University Hospital, Dublin 4, Ireland. eadaoin0@yahoo.com
Enda W McDermott
Dennis Evoy
John Crown
Michael J Duffy
University College Dublin · IESt. Vincent's University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The S100 gene family encode low molecular weight proteins implicated in cancer progression. In this study, we analyzed the expression of four S100 genes in one cohort of patients with breast cancer and 16 S100 genes in a second cohort. In both cohorts, the expression of S100A8 and S1009 mRNA level was elevated in high-grade compared to low-grade tumors and in estrogen receptor-negative compared to estrogen receptor-positive tumors. None of the S100 transcripts investigated were significantly associated with the presence of lymph node metastasis. Notably, multiple S100 genes, including S100A1, S100A2, S100A4, S100A6, S100A8, S100A9, S100A10, S100A11, and S100A14 were upregulated in basal-type breast cancers compared to non-basal types. Using Spearman's correlation analysis, several S100 transcripts correlated significantly with each other, the strongest correlation has been found between S100A8 and S100A9 (r = 0.889, P < 0.001, n = 295). Of the 16 S100 transcripts investigated, only S100A11 and S100A14 were significantly associated with patient outcome. Indeed, these two transcripts predicted outcome in the cohort of patients that did not receive systemic adjuvant therapy. Based on our findings, we conclude that the different S100 genes play varying roles in breast cancer progression. Specific S100 genes are potential targets for the treatment of basal-type breast cancers.

Indexed as

AdultAgedBreast NeoplasmsCohort StudiesDisease ProgressionFemaleHumansMiddle AgedRNA, MessengerS100 ProteinsRNA, MessengerS100 Proteins

Identifiers

PMID21153724
OpenAlexW1996899827

What OpenQuestion holds

Textmetadata
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.