Evidence map›Paper›PMID 21514387›Full record

ArticleSeminars in cancer biology2011

Fractal analysis in a systems biology approach to cancer.

M Bizzarri, A Giuliani, A Cucina, F D'Anselmi, A M Soto, C Sonnenschein

Abstract read
In one paragraph

Article in Seminars in cancer biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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.

M BizzarriSapienza University of Rome, Italy. mariano.bizzarri@uniroma1.it
A Giuliani
A Cucina
F D'Anselmi
A M Soto
C Sonnenschein

Funding

Mechanisms of developmental toxicity of Bisphenol-AR01ES008314 · NIEHS · TUFTS UNIVERSITY BOSTON · PI SOTO, ANA · 1996 to 2016
$6.8M
Prenatal xenoestrogen exposure and mammary cancerR21ES012301 · NIEHS · TUFTS UNIVERSITY BOSTON · PI SOTO, ANA · 2005 to 2006
$445k
NIEHS NIH HHS ES012301NIEHS NIH HHS ES0150182NIEHS NIH HHS ES08314NIEHS NIH HHS R01 ES008314NIEHS NIH HHS R21 ES012301
6 · The paper itself

Abstract

Cancer is a highly complex disease due to the disruption of tissue architecture. Thus, tissues, and not individual cells, are the proper level of observation for the study of carcinogenesis. This paradigm shift from a reductionist approach to a systems biology approach is long overdue. Indeed, cell phenotypes are emergent modes arising through collective non-linear interactions among different cellular and microenvironmental components, generally described by "phase space diagrams", where stable states (attractors) are embedded into a landscape model. Within this framework, cell states and cell transitions are generally conceived as mainly specified by gene-regulatory networks. However, the system's dynamics is not reducible to the integrated functioning of the genome-proteome network alone; the epithelia-stroma interacting system must be taken into consideration in order to give a more comprehensive picture. Given that cell shape represents the spatial geometric configuration acquired as a result of the integrated set of cellular and environmental cues, we posit that fractal-shape parameters represent "omics" descriptors of the epithelium-stroma system. Within this framework, function appears to follow form, and not the other way around.

Indexed as

FractalsSystems BiologyHumansNeoplasms

Identifiers

PMID21514387
PMCPMC3148285

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.