Evidence map›Paper›PMID 26140253›Full record

ArticleOncoimmunology2015

A phenotype from tumor stroma based on the expression of metalloproteases and their inhibitors, associated with prognosis in breast cancer.

Noemí Eiró, Belen Fernandez-Garcia, Julio Vázquez, José M Del Casar, Luis O González, Francisco J Vizoso

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Noemí EiróUnidad de Investigación, Fundación Hospital de Jove , Gijón, Asturias, Spain.
Belen Fernandez-GarciaUnidad de Investigación, Fundación Hospital de Jove , Gijón, Asturias, Spain.
Julio VázquezServicio de Ginecología, Hospital Álvarez-Buylla , Mieres, Asturias, Spain.
José M Del CasarServicio de Cirugía General, Fundación Hospital de Jove , Gijón, Spain.
Luis O GonzálezUnidad de Investigación, Fundación Hospital de Jove , Gijón, Asturias, Spain ; Servicio de Anatomía Patológica, Fundación Hospital de Jove, Gijón , Asturias, Spain .
Francisco J VizosoUnidad de Investigación, Fundación Hospital de Jove , Gijón, Asturias, Spain ; Servicio de Cirugía General, Fundación Hospital de Jove , Gijón, Spain.
Fundación Hospital de Jove · ESFundación Renal · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the present work was to evaluate the impact of the phenotype of both mononuclear inflammatory cells (MICs) and cancer-associated fibroblast (CAFs) in early breast cancer patients, specifically assessed as to their expression of MMP/TIMP relative to their position within the tumor (i.e., localization at the tumor center or invasive front) and the occurrence of distant metastases.. An immunohistochemical study was performed using tissue arrays and specific antibodies against matrix metalloproteinase (MMP)-1, -2, -7, -9, -11, -13 and -14, tissue inhibitors of metalloproteinase (TIMP)-1, -2 and -3, both at tumor center and at invasive front, in 107 patients with primary ductal invasive breast tumors. Data were analyzed by unsupervised hierarchical clustering analysis. Our results indicated that MMP-11 expression by MICs, and TIMP-2 expression by CAFs at either the tumor center or the invasive front, were the most potent independent prognostic factors for predicting the clinical outcome of patients. Using the unsupervised hierarchical clustering analysis, we found well-defined clusters of cases identifying subgroups of tumors showing a high molecular profile of MMPs/TIMPs expression by stromal cells (CAFs and MICs), both at the tumor center and at the invasive front, which were strongly associated with a higher prevalence of distant metastasis. In addition, we found combinations of these clusters defining subpopulations of breast carcinomas differing widely in their clinical outcome. The results presented here identify biologic markers useful to categorize patients into different subgroups based on their tumor stroma, which may contribute to improved understanding of the prognosis of breast cancer patients.

Indexed as

bFGF, fibroblast growth factorBreast cancerCAF, cancer-associated fibroblastcancer-associated fibroblastCI, confidence intervalECM, extracellular matrixEGF, epidermal growth factorEMT, epithelial-mesenchymal transitionER, estrogen receptorHER2, human epidermal growth factor receptor 2HGF, hepatocyte growth factorIGFBPs, IGF binding proteinIGFs, insulin growth factorsIL, interleukinmatrix-metalloproteasesMIC, mononuclear inflammatory cellMMP, matrix metalloproteasemononuclear inflammatory cellNFkB, nuclear factor kappa BPgR, progesterone receptor, TA, tissue arrayTGFß, transforming growth factor ßTIMP, tissue inhibitors of metalloproteasestumor stroma

Identifiers

PMID26140253
PMCPMC4485729
OpenAlexW1979039417

What OpenQuestion holds

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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.