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Genetic Toxicology and Cancer Risk Assessment - W. Choy (Marcel Dekker, 2001) WW.pdf

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Genetic Toxicology and Cancer Risk Assessment - W. Choy (Marcel Dekker, 2001) WW.pdf

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Genetic Toxicology and Cancer Risk Assessment - W. Choy (Marcel Dekker, 2001) WW.pdf

文档介绍

文档介绍:ISBN: 0-8247-0294-8
This book is printed on acid-free paper.
Headquarters
Marcel Dekker, Inc.
270 Madison Avenue, New York, NY 10016
tel: 212-696-9000; fax: 212-685-4540
Eastern Hemisphere Distribution
Marcel Dekker AG
Hutgasse 4, Postfach 812, CH-4001 Basel, Switzerland
tel: 41-61-261-8482; fax: 41-61-261-8896
World Wide Web
The publisher offers discounts on this book when ordered in bulk quantities. For more in-
formation, write to Special Sales/Professional Marketing at the headquarters address
above.
Copyright © 2001 by Marcel Dekker, Inc. All Rights Reserved.
Neither this book nor any part may be reproduced or transmitted in any form or by any
means, electronic or mechanical, including photocopying, microfilming, and recording, or
by any information storage and retrieval system, without permission in writing from the
publisher.
Current printing (last digit):
**********
PRINTED IN THE UNITED STATES OF AMERICA
In memory of my parents,
for their love and guidance
Preface
ic toxicology studies have been used to assess mutagenicity of environ-
mental, pharmaceutical, and agricultural chemicals for over 30 years. Most of the
activities in this field have been focused on the development of new test methods,
standardization of test procedures, generation of mutagen databases, and cross-
validation of test results. After many years of continual evaluations and refine-
ments, contemporary routine ic toxicology tests are reliable tools for the de-
tection of environmental mutagens.
Since ic damage to humans can cause serious conditions such as birth
defects and cancers, identifying mutagens and carcinogens and minimizing their
risks to humans are obvious goals for the protection of public health. When expo-
sure is unavoidable, an accurate estimation of human risk as a result of exposure
is essential for making regulatory decisions.
Quantitative cancer risk assessment is an intricate process that utilizes
knowledge from many diff