Evidence map›Paper›PMID 22442061›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2012

Disrupting the networks of cancer.

Daniel F Camacho, Kenneth J Pienta

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Targeting the tumour stroma to improve cancer therapy.Nature reviews. Clinical oncology · 2018
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. The cancer diaspora: Metastasis beyond the seed and soil hypothesis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Review
  11. Article
  12. Article
  13. Review
  14. Systems biology for molecular life sciences and its impact in biomedicine.Cellular and molecular life sciences : CMLS · 2013
    Review
  15. Article
  16. Article
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

2 authors.

Daniel F CamachoDepartment of Internal Medicine and Urology, Michigan Center for Translational Pathology, University of Michigan Comprehensive Cancer Center, Ann Arbor, Michigan 48109, USA.
Kenneth J Pienta

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M · 1995 to 2013
$31.3M
Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KELLER, EVAN T · 2004 to 2024
$29.6M
Mechanisms That Regulate Dormancy of Disseminated Tumor Cells in the Bone MarrowU54CA163124 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J. · 2011 to 2015
$3.0M
Reactive Stroma and Tumor Associated Macrophages in Prostate Cancer ProgressionU01CA143055 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROWLEY, DAVID R · 2010 to 2014
$2.7M
NCI NIH HHS 2 P50 CA69568NCI NIH HHS NIH 1 PO1 CA093900NCI NIH HHS NIH 1 U01CA143055-01A1NCI NIH HHS NIH U54 CA163124NCI NIH HHS P01 CA093900NCI NIH HHS P50 CA069568NCI NIH HHS U01 CA143055NCI NIH HHS U54 CA163124
6 · The paper itself

Abstract

Ecosystems are interactive systems involving communities of species and their abiotic environment. Tumors are ecosystems in which cancer cells act as invasive species interacting with native host cell species in an established microenvironment within the larger host biosphere. At its heart, to study ecology is to study interconnectedness. In ecologic science, an ecologic network is a representation of the biotic interactions in an ecosystem in which species (nodes) are connected by pairwise interactions (links). Ecologic networks and signaling network models have been used to describe and compare the structures of ecosystems. It has been shown that disruption of ecologic networks through the loss of species or disruption of interactions between them can lead to the destruction of the ecosystem. Often, the destruction of a single node or link is not enough to disrupt the entire ecosystem. The more complex the network and its interactions, the more difficult it is to cause the extinction of a species, especially without leveraging other aspects of the ecosystem. Similarly, successful treatment of cancer with a single agent is rarely enough to cure a patient without strategically modifying the support systems conducive to survival of cancer. Cancer cells and the ecologic systems they reside in can be viewed as a series of nested networks. The most effective new paradigms for treatment will be developed through application of scaled network disruption.

Indexed as

Metabolic Networks and PathwaysNeoplasmsTumor MicroenvironmentCell NucleusChemokinesCytokinesHumansModels, BiologicalNeoplasm MetastasisSignal TransductionChemokinesCytokines

Identifiers

PMID22442061
PMCPMC4154593

What OpenQuestion holds

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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.