Evidence map›Paper›PMID 23056240›Full record

ArticlePloS one2012

Tumor endothelial inflammation predicts clinical outcome in diverse human cancers.

Sean P Pitroda, Tong Zhou, Randy F Sweis, Matthew Filippo, Edwardine Labay, Michael A Beckett, Helena J Mauceri, Hua Liang, Thomas E Darga, Samantha Perakis and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. 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
2.5field-weighted citation impact, top 11% 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, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Dissecting the small RNA code of inflammatory bowel disease.Molecular medicine (Cambridge, Mass.) · 2026
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  10. The Tumor Microenvironment of Bladder Cancer.Advances in experimental medicine and biology · 2020
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  11. Expression of potassium channel genes predicts clinical outcome in lung cancer.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2019
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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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

16 authors at 2 institutions in 1 country.

Sean P PitrodaDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, Illinois, United States of America.
Tong Zhou
Randy F Sweis
Matthew Filippo
Edwardine Labay
Michael A Beckett
Helena J Mauceri
Hua Liang
Thomas E Darga
Samantha Perakis
Sajid A Khan
Harold G Sutton
Wei Zhang
Nikolai N Khodarev
Joe G N Garcia
Ralph R Weichselbaum
University of Chicago · USUniversity of Illinois Chicago · US

Funding

Tissue Culture Biomechanical CoreP01HL058064 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LAL, RATNESHWAR · 1998 to 2012
$27.8M
Therapeutic Potential of FTY720 Analogues in Lung InjuryP01HL098050 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI NATARAJAN, VISWANATHAN · 2011 to 2015
$10.9M
Phase II Study of Inhales Carbon Monoxide for the Treatment of Idiopathic PulmonaU01HL105371 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GARCIA, JOE G. N., ROSAS, IVAN O. · 2010 to 2014
$5.2M
NCI NIH HHS P01 CA 07193312NHLBI NIH HHS HL105371NHLBI NIH HHS HL58064NHLBI NIH HHS HL98050NHLBI NIH HHS P01 HL058064NHLBI NIH HHS P01 HL098050NHLBI NIH HHS U01 HL105371
6 · The paper itself

Abstract

backgroundVascular endothelial cells contribute to the pathogenesis of numerous human diseases by actively regulating the stromal inflammatory response; however, little is known regarding the role of endothelial inflammation in the growth of human tumors and its influence on the prognosis of human cancers.

methodsUsing an experimental model of tumor necrosis factor-alpha (TNF-α)-mediated inflammation, we characterized inflammatory gene expression in immunopurified tumor-associated endothelial cells. These genes formed the basis of a multivariate molecular predictor of overall survival that was trained and validated in four types of human cancer.

resultsWe report that expression of experimentally derived tumor endothelial genes distinguished pathologic tissue specimens from normal controls in several human diseases associated with chronic inflammation. We trained these genes in human cancer datasets and defined a six-gene inflammatory signature that predicted significantly reduced overall survival in breast cancer, colon cancer, lung cancer, and glioma. This endothelial-derived signature predicted outcome independently of, but cooperatively with, standard clinical and pathological prognostic factors. Consistent with these findings, conditioned culture media from human endothelial cells stimulated by pro-inflammatory cytokines accelerated the growth of human colon and breast tumors in immunodeficient mice as compared with conditioned media from untreated endothelial cells.

conclusionsThis study provides the first prognostic cancer gene signature derived from an experimental model of tumor-associated endothelial inflammation. These findings support the notion that activation of inflammatory pathways in non-malignant tumor-infiltrating endothelial cells contributes to tumor growth and progression in multiple human cancers. Importantly, these results identify endothelial-derived factors that could serve as potential targets for therapy in diverse human cancers.

Indexed as

AdultAgedAnimalsBreast NeoplasmsCell Line, TumorCells, CulturedColonic NeoplasmsEndothelial CellsEndothelium, VascularFemaleGene Expression ProfilingGliomaHumansHuman Umbilical Vein Endothelial CellsInflammationKaplan-Meier EstimateTumor Necrosis Factor-alpha

Identifiers

PMID23056240
PMCPMC3464251
OpenAlexW2066680767

What OpenQuestion holds

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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.