Click to Enlarge

Lung Cancer: Disease Biology and Its Potential for Clinical Translation


Book Series:  A Cold Spring Harbor Perspectives in Medicine Collection
Subject Area(s):  Cell BiologyCancer Biology

Edited by Christine M. Lovly, Vanderbilt University Medical Center; David P. Carbone, The Ohio State University; John D. Minna, University of Texas Southwestern Medical Center

Download a Free Excerpt from Lung Cancer: Disease Biology and Its Potential for Clinical Translation:

Preface
Early Diagnosis and Screening for Lung Cancer
Index


© 2022 • 274 pages, illustrated (25 color), index
Hardcover • $135 94.50
ISBN  978-1-621823-73-5
You save: 30%
You will receive free shipping on this item at checkout.
Free shipping offer applies to direct website purchases by individual U.S. customers only.

Print Book + eBook
    Best value!
$210 $121.50 Add To Cart
Print Book$135 $94.50 Add To Cart
eBook$75 $60.00 Add To Cart

Bulk discounts available for your lab or class. Click here to inquire.

eBooks use Adobe Digital Editions software. Click here for more information.

  •     Description    
  •     Contents    

Description

Lung cancer affects millions of people worldwide and is the leading cause of cancer death in both men and women in the United States. There are two main types of lung cancer: small-cell and non-small-cell. These cancers grow differently, are treated differently, and lead to different outcomes. Recent advances in the clinic and laboratory are leading to significant enhancements in patient care.

Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine covers the progress that has been made in understanding the molecular pathogenesis of lung cancer and how this information is leading to improved detection and treatment strategies. The contributors review the genomic, transcriptomic, epigenomic, and proteomic changes associated with lung carcinogenesis, the histologic and metabolic features of different types of lung cancer, and the roles of the immune microenvironment and cancer stem cells in tumor maintenance and metastasis. The large databases of demographic and clinical information, high-throughput platforms that generate molecular data, advanced computational methods (e.g., radiomics and artificial intelligence), and preclinical models that facilitate advances in basic and translational research are also covered.

In addition, the authors discuss progress on risk prediction, diagnostic strategies (e.g., liquid biopsy), and therapies for both small-cell and non-small-cell lung cancer. This volume is therefore a vital reference for all cancer biologists and clinician-scientists devoted to reducing the public health burden of this disease.

Contents

Preface
Early Diagnosis and Screening for Lung Cancer
Humam Kadara, Linh M. Tran, Bin Liu, Anil Vachani, Shuo Li, Ansam Sinjab, 
Xianghong J. Zhou, Steven M. Dubinett, and Kostyantyn Krysan
Molecular Pathology of Lung Cancer
James J. Saller and Theresa A. Boyle
Tumor Immunology and Immunotherapy of Non-Small-Cell Lung Cancer
Tina Cascone, Jared Fradette, Monika Pradhan, and Don L. Gibbons
Radiation Therapy in Non-Small-Cell Lung Cancer
Michael Dohopolski, Sujana Gottumukkala, Daniel Gomez, and Puneeth Iyengar
Preclinical Models for the Study of Lung Cancer Pathogenesis and Therapy Development
Anna Arnal-Estapé, Giorgia Foggetti, Jacqueline H. Starrett, Don X. Nguyen, and Katerina Politi
Lung Cancer Stem Cells and Their Clinical Implication
Samuel P. Rowbotham, Mounika U.L. Goruganthu, Rajeswara R. Arasada, Walter Z. Wang, 
David P. Carbone, and Carla F. Kim
Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine
Ilke Tunali, Robert J. Gillies, and Matthew B. Schabath
Metabolic Phenotypes, Dependencies, and Adaptation in Lung Cancer
Gina M. DeNicola and David B. Shackelford
Targeting Epigenetics in Lung Cancer
Yvonne L. Chao and Chad V. Pecot
Advances in Small-Cell Lung Cancer (SCLC) Translational Research
Benjamin J. Drapkin and Charles M. Rudin
Lung Cancer Computational Biology and Resource
Ling Cai, Guanghua Xiao, David Gerber, John D. Minna, and Yang Xie
Index