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•
RESEARCH PROBLEM |
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“Simple Blood Test for
Colon Cancer: New Early-warning Test Detects Polyps Before Cancer Sets
In” was the headline of an electronic article in which Science Daily
informed its readers that “a simple early-warning test that can
detect colon cancer in the blood” was now being prepared for market.
This test, so the story went, could supplement much more invasive and
painful colonoscopies and thereby help save lives (American Friends of
Tel Aviv University 2008). News of this kind –announcements of the
actual or likely market release of tests that detect potentially severe
diseases through non-invasive blood tests possibly even before they have
developed into a life-threatening state – have become frequent these
days. The common tactic on which these tests rely is that they measure
the level of particular substances in easily accessible bodily fluids
whose presence is not (necessarily) in itself classified as a disease
but which (often large epidemiological) studies have shown to correlate
with specific diseases or states of disease. That is why these substances
are known as “biological markers”
or “biomarker”
for short. An often-quoted definition describes them as |
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a characteristic that is objectively
measured and evaluated as an indicator of normal biological processes,
pathogenic processes, or pharmacologic responses to a therapeutic intervention
(Biomarkers Definitions Working Group 2001: 91). |
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For us, biomarkers are a newly
emerging topic at the intersection of post-genomic science, society, and
politics. |
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Certainly, the practice of drawing
on “objectively measurable characteristics” to monitor states
of health and disease is not new. However, in our post-genomic present
the research for such biological indicators has received a new boost and
also has shifted to a predominantly molecular level. Recent advances in
“-omic technologies”, such as genomics, proteomics or metablomics,
have enabled researchers and scientists to detect even low levels of “tell
tale molecules” (Spinney 2006: 736) in our blood or in other bodily
fluids, and the steadily growing infrastructure of “biobanks”
in and outside Europe suggests that the search for such molecules is likely
to grow over the next couple of years |
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However, a gap
still exists between research in the laboratory and the clinical reality.
Scientists note the number of biomarker candidates is high, yet only a
small number of markers are actually applied in clinical practice and
with little knowledge that helps to understand
which biomarker candidates are worth investing in (Gewin
2007). More recently, the OECD (2007) has deplored the uneven translation
of biomarkers from the bench to the bedside and has suggested to study
necessary steps for bringing biomarkers closer to application in the clinic
and health field. |
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In the proposed
project, we seize this agenda. We study a set of “biomarkers in
action” to gather empirical evidence on
what transforms biomarker candidates into “useful” devices
in clinical medicine (Hedgecoe 2008). By conducting a
set of well-selected case studies of biomarkers that have already “gone
down the pipeline” and that are already used in clinical practices,
we expect to learn more on the complex movement of biomarkers from bench
to bedside and, thus, about the much discussed topic of translational
medicine (Sabroe et al. 2007). |
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We propose to focus
on biomarker governance.
The successful introduction and application of biomarkers, we argue, depends
on the governance of biomarkers
– the interaction, coordination, and management of a large set of
variables by a multitude of actors ranging from scientists to industry,
health-care providers, and regulators. Moreover, by studying “positive”
examples of biomarkers we expect to improve our understanding on the governance
through biomarkers - the actual impact and transformative
potential of biomarkers in their practical application. |
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Studying biomarkers
in action, we argue, will allow us to look beyond the “myth of the
biotech revolution” and to develop a better understanding of the
often complex path of biotechnological innovation (Nightingale and Martin
2004) as well of the practical and tangible implications of this innovation
and enable us to study in empirical detail key challenges in translational
medicine (Wainwright, Williams et al. 2006; Cribb, Wainwright et al. 2008)
and in the shaping of personalized medicine. |
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•
OBJECTIVES |
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This project seeks to develop
an understanding of: |
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• the
uneven paths of biomarkers moving from their design to bio-medical application,
the heterogeneous elements
involved in this path, as well as the ways in which governance shapes
these elements, thereby improving our
understanding of innovation processes in bio-medicine; |
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• the
ways in which bio-markers make differences in bio-medical practices,
thereby enriching our understanding of
the ways in which bio-medical practices are governed through bio-medical
technologies. |
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Updated
24.04.2010
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