Purpose: Esophageal squamous cell carcinoma (ESCC) is an aggressive tumor with poor prognosis. Understanding molecular changes in ESCC will enable identification of molecular subtypes and provide potential targets for early detection and therapy. Experimental Design: We followed up a previous array study with additional discovery and confirmatory studies in new ESCC cases by using alternative methods. We profiled global gene expression for discovery and confirmation, and validated selected dysregulated genes with additional RNA and protein studies. Results: A total of 159 genes showed differences with extreme statistical significance (P < E-15) and 2-fold differences or more in magnitude (tumor/normal RNA expression ratio, N = 53 cases), including 116 upregulated and 43 downregulated genes. Of 41 genes dysregulated in our prior array study, all but one showed the same fold change directional pattern in new array studies, including 29 with 2-fold changes or more. Alternative RNA expression methods validated array results: more than two thirds of 51 new cases examined by real-time PCR (RT-PCR) showed 2-fold differences or more for all seven genes assessed. Immunohistochemical protein expression results in 275 cases which were concordant with RNA for five of six genes. Conclusion: We identified an expanded panel of genes dysregulated in ESCC and confirmed previously identified differentially expressed genes. Microarray-based gene expression results were confirmed by RT-PCR and protein expression studies. These dysregulated genes will facilitate molecular categorization of tumor subtypes and identification of their risk factors, and serve as potential targets for early detection, outcome prediction, and therapy. Clin Cancer Res; 17(9); 2955–66. ©2011 AACR.

Family history (FH) by different relative types and risk of upper gastrointestinal (UGI) cancers has been only rarely reported; the data on UGI cancer survival are sparse.

The National Heart, Lung, and Blood Institute (NHLBI), within the United States' National Institutes of Health (NIH), established a Biorepository in 1976 that initially archived biospecimens from population-based blood product safety surveys. It was later expanded to biospecimens from clinical and epidemiological studies in heart, lung, and blood disorders. The NHLBI also established a Data Repository in 2000 to store and distribute study data from NHLBI-sponsored research. The NHLBI Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) was established in 2008 to develop the infrastructure needed to link the contents of these two related NHLBI Repositories, facilitate access to repository resources, and streamline request processes. Three key program subcomponents were developed simultaneously: 1) the linkage of biospecimen electronic inventory records with their clinical or characterization data; 2) the development and implementation of a website with both public-facing information and private processing workspaces; and 3) the development of processes to maximize efficiency via a web-based system while maintaining workflow control, document tracking, and secure processes. The BioLINCC website was launched on October 1, 2009 with eight biospecimen collections and data from 72 research studies. By the end of the fourth online year, 38 biospecimen collections were linked and posted, and data from 108 research studies had been made available for request. The number of registered users by the end of the fourth online year approached 2600, and continues to show a trend towards an increasing rate of new users per year. BioLINCC has fulfilled 381 requests comprising 851 data collections, as well as 600 teaching dataset requests and 75 data renewal agreements. 154 biospecimen requests comprising 147,388 biospecimens were fulfilled or actively in process. We conclude that the BioLINCC program has been successful in its goal to increase the visibility and utilization of NHLBI biospecimen and data repository resources.

The National Heart, Lung, and Blood Institute (NHLBI), within the United States’ National Institutes of Health (NIH), established the Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) in 2008 to develop the infrastructure needed to link the contents of the NHLBI Biorepository and the NHLBI Data Repository, and to promote the utilization of these scientific resources by the broader research community. Program utilization metrics were developed to measure the impact of BioLINCC on Biorepository access by researchers, including visibility, program efficiency, user characteristics, scientific impact, and research types. Input data elements were defined and are continually populated as requests move through the process of initiation through fulfillment and publication. This paper reviews the elements of the tracking metrics which were developed for BioLINCC and reports the results for the first six on-line years of the program.

Genomic instability plays an important role in human cancers. We previously characterized genomic instability in esophageal squamous cell carcinomas (ESCC) in terms of loss of heterozygosity (LOH) and copy number (CN) changes in tumors. In the current study we focus on biallelic loss and its relation to expression of mRNA and miRNA in ESCC using results from 500K SNP, mRNA, and miRNA arrays in 30 cases from a high-risk region of China. (i) Biallelic loss was uncommon but when it occurred it exhibited a consistent pattern: only 77 genes (<0.5 %) showed biallelic loss in at least 10 % of ESCC samples, but nearly all of these genes were concentrated on just four chromosomal arms (ie, 42 genes on 3p, 14 genes on 9p, 10 genes on 5q, and seven genes on 4p). (ii) Biallelic loss was associated with lower mRNA expression: 52 of the 77 genes also had RNA expression data, and 41 (79 %) showed lower expression levels in cases with biallelic loss compared to those without. (iii) The relation of biallelic loss to miRNA expression was less clear but appeared to favor higher miRNA levels: of 60 miRNA-target gene pairs, 34 pairs (57 %) had higher miRNA expression with biallelic loss than without, while 26 pairs (43 %) had lower miRNA expression. (iv) Finally, the effect of biallelic loss on the relation between miRNA and mRNA expression was complex. Biallelic loss was most commonly associated with a pattern of elevated miRNA and reduced mRNA (43 %), but a pattern of both reduced miRNA and mRNA was also common (35 %). Our results indicate that biallelic loss in ESCC is uncommon, but when it occurs it is localized to a few specific chromosome regions and is associated with reduced mRNA expression of affected genes. The effect of biallelic loss on miRNA expression and on the relation between miRNA and mRNA expressions was complex.