Evidence map›Paper›PMID 21875943›Full record

ArticleCancer research2011

An iron regulatory gene signature predicts outcome in breast cancer.

Lance D Miller, Lan G Coffman, Jeff W Chou, Michael A Black, Jonas Bergh, Ralph D'Agostino, Suzy V Torti, Frank M Torti

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 3% 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

125 citing papers in PubMed, 3 syntheses or guidelines pooled it, 212 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. C282Y polymorphism in the HFE gene is associated with risk of breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Iron and Cancer.Advances in experimental medicine and biology · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Environmental impact on carcinogenesis under BRCA1 haploinsufficiency.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2023
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Lance D MillerDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Lan G Coffman
Jeff W Chou
Michael A Black
Jonas Bergh
Ralph D'Agostino
Suzy V Torti
Frank M Torti
Karolinska Institutet · SESophiahemmet Hospital · SEWake Forest University · USUniversity of Otago · NZ

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Ferritin, Iron Homeostasis and Cellular StressR37DK042412 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TORTI, FRANK M. · 2001 to 2011
$3.8M
Ferritin and Kininogen InteractionR01DK071892 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TORTI, SUZY V · 2007 to 2011
$1.3M
NCI NIH HHS P30 CA012197NIDDK NIH HHS R01 DK071892NIDDK NIH HHS R01DK071892NIDDK NIH HHS R37 DK042412NIDDK NIH HHS R37 DK42412
6 · The paper itself

Abstract

Changes in iron regulation characterize the malignant state. However, the pathways that effect these changes and their specific impact on prognosis remain poorly understood. We capitalized on publicly available microarray datasets comprising 674 breast cancer cases to systematically investigate how expression of genes related to iron metabolism is linked to breast cancer prognosis. Of 61 genes involved in iron regulation, 49% were statistically significantly associated with distant metastasis-free survival. Cases were divided into test and training cohorts, and the supervised principal component method was used to stratify cases into risk groups. Optimal risk stratification was achieved with a model comprising 16 genes, which we term the iron regulatory gene signature (IRGS). Multivariable analysis revealed that the IRGS contributes information not captured by conventional prognostic indicators (HR = 1.61; 95% confidence interval: 1.16-2.24; P = 0.004). The IRGS successfully stratified homogeneously treated patients, including ER+ patients treated with tamoxifen monotherapy, both with (P = 0.006) and without (P = 0.03) lymph node metastases. To test whether multiple pathways were embedded within the IRGS, we evaluated the performance of two gene dyads with known roles in iron biology in ER+ patients treated with tamoxifen monotherapy (n = 371). For both dyads, gene combinations that minimized intracellular iron content [anti-import: TFRC(Low)/HFE(High); or pro-export: SLC40A1 (ferroportin)(High)/HAMP(Low)] were associated with favorable prognosis (P < 0.005). Although the clinical utility of the IRGS will require further evaluation, its ability to both identify high-risk patients within traditionally low-risk groups and low-risk patients within high-risk groups has the potential to affect therapeutic decision making.

Indexed as

Gene Expression ProfilingAntineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantDisease-Free SurvivalEstrogen Receptor ModulatorsEstrogensFemaleHumansIronLymphatic MetastasisModels, GeneticNeoplasms, Hormone-DependentPrognosisSurvival AnalysisAntineoplastic Agents, HormonalEstrogen Receptor ModulatorsEstrogensIronTamoxifen

Identifiers

PMID21875943
PMCPMC3206152
OpenAlexW2101427112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.