Lung cancer cluster

A lung cancer cluster was identified in steel mill workers who worked in the melt shop of an electric steel-making operationJ18 That mill cast carbon and specialty steels from scrap metals. The raw materials for the plant included automobile industry scrap, construction materials, and containers that were coated with oil-based and other organic materials. Flue dust analysis revealed the following hydrophilic compounds ... 

Finkelstein MM, Wilk N. Investigation of a lung cancer cluster in the melt shop of an Ontario steel producer. Am J Ind Med 1990 17 483 91. 

Cluster 1 Childhood Leukemia 468 Cluster 2 Prostate Cancer 468 Clusters 3-6 Testicular Cancer 469 Cluster 7 Brain Cancer Cluster—Electronic Workers 469 Cluster 8 Brain Cancer Cluster—Petrochemical Workers 470 Cluster 9 Brain Cancers in Offspring of Electronic Workers 470 Cluster 10 Kidney Cancer Cluster 471 Cluster 11 Colorectal Cancer Cluster 471 Cluster 12 Multiple Cancer Cluster 471 Cluster 13 Lung Cancer Cluster 472 Cluster 14 Childhood Leukemia 472 Cluster 15 Multiple Cancer Clusters 473 Cluster 16 Toxic Waste Disposal Site-Related Clusters 474... 

Janne PA, Li C, Zhao X et al. High-resolution single-nucleotide polymorphism array and clustering analysis of loss of heterozygosity in human lung cancer cell lines. Oncogene 2004 23 2716-2726. 

The complexities of the mixtures just described make it difficult to ascribe the increased lung cancer rates to any particular chemical or mixture. All the above exposures are to mixtures of lipophiles and hydrophiles, which have been shown to be associated with unexplained cancer clusters J94l... 

Rahman MH, Bratveit M, Moen BE (2007) Exposure to ammonia and acute respiratory effects in a urea factory. Int J Occup Environ Health 13 153-159 Sarlani E, Schwartz AH, Greenspan ID, Grace EG (2003) Eadal pain as first manifestation of lung cancer A case of lung cancer-related cluster headache and a review of the hterature. J Orofac Pain 17 262-267... 

Hayashita Y, Osada H, Tatematsu Y, Yamada H, Yanagisawa K, Tomida S, Yatabe Y, Kawahara K, Sekido Y, Takahashi T 2005. A polycistronic microRNA cluster, miR-17-92, is overexpressed in human lung cancers and enhances cell proliferation. Cancer Res 65(21 ) 9628-9632. 

Figure 5.14 SOM Toolbox clustering of lung cancer samples using gene expression data for three representative genes measured by Bhattachaijee et al. (2001). (See color insert.)...

Figure 5.15 Membership values obtained from FCM clustering on lung cancer samples based on gene expression information. Samples were clustered in five groups. (See color insert.)...

Figure 5.16 Result of SAMBA biclustering on lung cancer data. The different clusters show the sample clustering as well as the subsets of genes that are most relevant for the distinction of any given sample subgroup. (See color insert.)...

Figure 10.5 Cluster analysis, (a) A combination of unsupervised clustering and heatmap visualization. The Euclidean distance measure and Ward linkage are used. Peptide intensities are log-transformed and normalized to zero mean unit variance (row by row). The profiles of 27 non-small-cell lung cancer patients are intermingled with those of 13 healthy controls (columns) (b) Supervised analysis using 11 peptides with Benjamini-Hochberg adjusted p-values <0.001 results in two distinctive branches at the root of the tree. Two cancer profiles are grouped with those of the healthy controls. All but one of the peptides are upregulated in cancer samples.

Several studies have been carried out to obtain proteomic profiles in human lung cancer cell lines. Proteomic signatures were obtained for different histological types of lung cancer. Hierarchial clustering analysis and principal component... 

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