Human respiratory tract cancer risks of inhaled formaldehyde: Dose-response predictions derived from biologically-motivated computational modeling of a combined rodent and human dataset

Toxicological Sciences

Volumn 82, Issue 1, 2004, Pages 279-296

  Conolly, Rory B ^a   Kimbell, Julia S ^a   Janszen, Derek ^a,c   Schlosser, Paul M ^a   Kalisak, Darin ^a   Preston, Julian ^a,b   Miller, Frederick J ^a  

^a CIIT CENTERS FOR HEALTH RESEARCH   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c Wyeth Ayerst Research   (United States)

Author keywords

Clonal growth; Computational modeling; DNA protein cross links; Dose response; Dosimetry; Formaldehyde; Human cancer risk; Regenerative cellular proliferation; Risk assessment

Indexed keywords

FORMALDEHYDE;

ARTICLE; BREATHING RATE; CANCER INCIDENCE; CANCER MORTALITY; CANCER RISK; CARCINOGENICITY; CELL PROLIFERATION; CONCENTRATION (PARAMETERS); CONCENTRATION RESPONSE; DNA CROSS LINKING; DOSIMETRY; ENVIRONMENTAL EXPOSURE; HUMAN; LUNG CANCER; MALE; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; OCCUPATIONAL EXPOSURE; PROTEIN CROSS LINKING; QUANTITATIVE ANALYSIS; RAT; RISK ASSESSMENT;

ANIMALS; CARCINOGENS; CARCINOMA, SQUAMOUS CELL; COMPUTATIONAL BIOLOGY; DOSE-RESPONSE RELATIONSHIP, DRUG; FORMALDEHYDE; HUMANS; INHALATION EXPOSURE; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; NOSE NEOPLASMS; RATS; RATS, INBRED F344; RISK ASSESSMENT;

MACACA MULATTA; RODENTIA;

EID: 8444227400     PISSN: 10966080     EISSN: None     Source Type: Journal    
DOI: 10.1093/toxsci/kfh223     Document Type: Article

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