Evidence map›Paper›PMID 27809802›Full record

ArticleBMC cancer2016

The expression pattern of matrix-producing tumor stroma is of prognostic importance in breast cancer.

Sofia Winslow, Kajsa Ericson Lindquist, Anders Edsjö, Christer Larsson

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

47 citing papers in PubMed, 83 citations in OpenAlex.

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  17. High expression of P4HA3 in obesity: a potential therapeutic target for type 2 diabetes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
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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

4 authors at 3 institutions in 2 countries.

Sofia WinslowDepartment of Laboratory Medicine, Lund University Cancer Center, Translational Cancer Research, Lund University, Lund, Sweden.
Kajsa Ericson LindquistDepartment of Pathology, Regional Laboratories Region Skåne, Lund, Sweden.
Anders EdsjöDepartment of Pathology, Regional Laboratories Region Skåne, Lund, Sweden.
Christer LarssonDepartment of Laboratory Medicine, Lund University Cancer Center, Translational Cancer Research, Lund University, Lund, Sweden. christer.larsson@med.lu.se.
Lund University · SEGoethe University Frankfurt · DEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are several indications that the composition of the tumor stroma can contribute to the malignancy of a tumor. Here we utilized expression data sets to identify metagenes that may serve as surrogate marker for the extent of matrix production and vascularization of a tumor and to characterize prognostic molecular components of the stroma.

methodsTCGA data sets from six cancer forms, two breast cancer microarray sets and one mRNA data set of xenografted tumors were downloaded. Using the mean correlation as distance measure compact clusters with genes representing extracellular matrix production (ECM metagene) and vascularization (endothelial metagene) were defined. Explorative Cox modeling was used to identify prognostic stromal gene sets.

resultsClustering of stromal genes in six cancer data sets resulted in metagenes, each containing three genes, representing matrix production and vascularization. The ECM metagene was associated with poor prognosis in renal clear cell carcinoma and in lung adenocarcinoma but not in other cancers investigated. Explorative Cox modeling using gene pairs identified gene sets that in multivariate models were prognostic in breast cancer. This was validated in two microarray sets. Two notable genes are TCF4 and P4HA3 which were included in the sets associated with positive and negative prognosis, respectively. Data from laser-microdissected tumors, a xenografted tumor data set and from correlation analyses demonstrate the stroma specificity of the genes.

conclusionsIt is possible to construct ECM and endothelial metagenes common for several cancer forms. The molecular composition of matrix-producing cells, rather than the extent of matrix production seem to be important for breast cancer prognosis.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticTranscriptomeBreast NeoplasmsDatasets as TopicEndotheliumExtracellular MatrixFemaleHumansPrognosisProportional Hazards ModelsStromal CellsBreast cancerECM metagenesEndothelial metagenesP4HA3TCF4Tumor stroma

Identifiers

PMID27809802
PMCPMC5095990
OpenAlexW2546528671

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.