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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Cellular ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Cellular Biochemistry
Article . 1992 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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Candidate biomarkers for applications as intermediate end points of lung carcinogenesis

Authors: James L. Mulshine; R. Iiona Linniola; Anthony M Tretson; Frank M. Scott; Kathryn Quinn; Ingalill Avis; Gail L Shaw; +4 Authors

Candidate biomarkers for applications as intermediate end points of lung carcinogenesis

Abstract

The need for validated intermediate end point markers to facilitate lung cancer chemointervention research is compelling. Three major classes of lung markers are relevant for this application. Since lung cancer includes four distinct histologies, markers that map degrees of histologic differentiation are important. Many of the markers for squamous differentiation overlap with the candidates for application in the study of head and neck cancer. Production of tissue-specific cell products especially for surfactant or CEA is of interest, because the gene structure is known and many differentiation-related polymorphisms exist. This strategy would be useful for adenomatous type tissue. A second type of marker is the broad group of differentiation markers. The carbohydrate or blood group-like antigens comprise a representative example. Carbohydrate structures are expressed in a specific sequence during fetal processes, and this sequence appears to reverse with the development of a cancer. Retrodifferentiation of specific differentiation markers is the basis of a major effort to effect earlier lung cancer detection using sputum immunocytochemistry. The final class includes markers which affect either positive or negative aspects of growth. Candidates in this area include growth factors or their receptors, or genes that regulate growth. If the intermediate end point marker reflects tumor biology and that biology is in the causal path of tumor progression, serial observation of that parameter should indicate the success of the intervention. In all three of these examples, the clinical material to be analyzed could be sputum specimens, bronchial biopsies or resected lung tissue. Systematic analysis of these markers in context of intervention trials is required to validate their utility.(ABSTRACT TRUNCATED AT 250 WORDS)

Related Organizations
Keywords

Adenoma, Lung Neoplasms, Biomarkers, Tumor, Carcinoma, Squamous Cell, Anticarcinogenic Agents, Humans, Cell Differentiation, Precancerous Conditions, Biomarkers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Related to Research communities
Cancer Research
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