Evidence map›Paper›PMID 25826086›Full record

ArticleOncotarget2015

The stromal genome heterogeneity between breast and prostate tumors revealed by a comparative transcriptomic analysis.

Kan He, Wenwen Lv, Dongni Zheng, Fei Cheng, Tao Zhou, Shoudong Ye, Qian Ban, Qilong Ying, Bei Huang, Lei Chen and 2 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 9 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

12 authors at 4 institutions in 2 countries.

Kan HeCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Wenwen LvCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Dongni ZhengCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Fei ChengCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Tao ZhouCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Shoudong YeCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Qian BanCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Qilong YingEli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Cell and Neurobiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Bei HuangCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Lei ChenCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Guohua WuLaboratory of Quality & Safety Risk Assessment for Sericultural Products and Edible Insects, Ministry of Agriculture, College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, China.
Dahai LiuCenter for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.
Anhui University · CNSericultural Research Institute · CNShanghai Medical College of Fudan University · CNUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stromal microenvironment increases tumor cell survival, proliferation and migration, and promotes angiogenesis. In order to provide comprehensive information on the stromal heterogeneity of diverse tumors, here we employed the microarray datasets of human invasive breast and prostate cancer-associated stromals and applied Gene Set Enrichment Analysis (GSEA) to compare the gene expression profiles between them. As a result, 8 up-regulated pathways and 73 down-regulated pathways were identified in the breast tumor stroma, while 32 up-regulated pathways and 18 down-regulated pathways were identified in the prostate tumor stroma. Only 9 pathways such as tryptophan metabolism were commonly up or down regulated, but most of them (including ABC transporters) were specific for these two tumors. Several essential tumors stromal marker genes were also significantly identified. For example, CDH3 was significantly up-regulated in the stromals of both breast and prostate tumors, however EGFR was only significantly down-regulated in the stromal of breast tumor. Our study would be helpful for future therapeutic and predictive applications in breast and prostate cancers.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticTranscriptomeAdenocarcinomaBiosynthetic PathwaysBreast NeoplasmsDatasets as TopicFemaleHumansMaleNeoplasm ProteinsOligonucleotide Array Sequence AnalysisOrgan SpecificityProstatic NeoplasmsRegulatory Elements, TranscriptionalRNA, NeoplasmNeoplasm ProteinsRNA, NeoplasmTranscription Factorsbreast tumorGSEAheterogeneitypathwayprostate tumor

Identifiers

PMID25826086
PMCPMC4496176
OpenAlexW1511096983

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.