Too
many toxicologists rely on a stale paradigm to evaluate carcinogens, today
complained one of the foremost environmental toxicologists in the US. Modern
"biologically-based" concepts are not only more accurate, they also offer faster
and less expensive screening, says Christopher Portier, director of the
Environmental Toxicology Program at the US National Institute of Environmental
Health Sciences in North Carolina.
"If we're honest with ourselves as scientists, we're looking at more
complicated data structures than we've ever looked at before," noted Portier.
"Toxicology has changed [and] we have to do a better job."
For decades, toxicologists have simply collected data by examining tumors, or
tumor-related deaths, in animal models, he says. Speaking this afternoon towards
the end of a two-day symposium on carcinogenesis bioassays at the New York
Academy of Sciences, Portier bemoaned this form of linear analysis with one
endpoint.
Instead, toxicologists must take into account precursor lesions, dietary and
weight changes, tumor location, biological structures and various biochemical
changes, Portier urged.
Complex analysis, "where there is no single endpoint," uses more of such data
and allows testing across sex, species and genetic subtypes, Portier told
BioMedNet News. "The idea is to simply expand the paradigm."
The existing paradigm is based on "concepts that are 50-plus years old,"
noted J. Carl Barrett, director of NIH's Center for Cancer Research. In that
oversimplified model of cancer, he said, there are two main steps: the
initiating event, and the subsequent environmental promotion of cancer.
But the environment "can work in very dramatic and very subtle ways," Barrett
noted. The focus has thus far been on the more dramatic effects but "we could be
missing subtle effects by taking a simple approach."
For example, a small change in the level of an enzyme could translate into a
10-fold difference in cancer risk, Barrett said. "It's time to revise what we
use in toxicology and ask if we can do it better," he noted. "I certainly hope
this is the approach of the future."
Some of the tools needed for complex analysis are already in place.
Researchers now use microarrays to determine a tumor's subtype, and proteomics
to understand its microenvironment.
The National Toxicology Program is also developing basic physiological
constants for animal models, including data on cardiac output, weight by age and
tissue size.
But switching to the new system will still be a formidable challenge, Portier
admitted. The analyses are much more difficult computationally and
mathematically.
Biologists will need to work closely with statisticians and make a commitment
to approaching data in a nontraditional way, he added.
"If I had to say where this was going," Portier said, "I'd say we need a
database-based analysis rather than a dataset-based analysis."
One such public database, now in its conceptual stages at the NIH's Center
for Toxicogenomics, will include raw toxicological, biological, gene and protein
expression data relevant to environmental toxicology.
Once all the tools are in place, Portier said, researchers may have to tailor
existing study designs to fit the new format. They will also have to convince
regulatory agencies, like the US Food and Drug Administration (FDA), to accept
the analyses in lieu of animal data.
The FDA has at least one reason to favor the scheme, Portier says. While
animal-based bioassays take a minimum of five years and several million dollars,
databases promise a quick, inexpensive way to screen carcinogens.
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