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Background: The Pennsylvania Cancer Alliance Bioinformatics Consortium (PCABC, http://www.pcabc.upmc.edu) is one of the first major project-based initiatives stemming from the Pennsylvania Cancer Alliance that was funded for four years by the Department of Health of the Commonwealth of Pennsylvania. The objective of this was to initiate a prototype biorepository and bioinformatics infrastructure with a robust data warehouse by developing a statewide data model (1) for bioinformatics and a repository of serum and tissue samples; (2) a data model for biomarker data storage; and (3) a public access website for disseminating research results and bioinformatics tools. The members of the Consortium cooperate closely, exploring the opportunity for sharing clinical, genomic and other bioinformatics data on patient samples in oncology, for the purpose of developing collaborative research programs across cancer research institutions in Pennsylvania. The Consortium’s intention was to establish a virtual repository of many clinical specimens residing in various centers across the state, in order to make them available for research. One of our primary goals was to facilitate the identification of cancer specific biomarkers and encourage collaborative research efforts among the participating centers.Methods: The PCABC has developed unique partnerships so that every region of the state can effectively contribute and participate. It includes over 80 individuals from 14 organizations, and plans to expand to partners outside the State. This has created a network of researchers, clinicians, bioinformaticians, cancer registrars, program directors, and executives from academic and community health systems, as well as external corporate partners - all working together to accomplish a common mission. The various sub-committees have developed a common IRB protocol template, common data elements for standardizing data collections for three organ sites, intellectual property/tech transfer agreements, and material transfer agreements that have been approved by each of the member institutions. This was the foundational work that has led to the development of a centralized data warehouse that has met each of the institutions’ IRB/HIPAA standards.Results: Currently, this “virtual biorepository” has over 58,000 annotated samples from 11,467 cancer patients available for research purposes. The clinical annotation of tissue samples is either done manually over the internet or semiautomated batch modes through mapping of local data elements with PCABC common data elements. The database currently holds information on 7188 cases (associated with 9278 specimens and 46,666 annotated blocks and blood samples) of prostate cancer, 2736 cases (associated with 3796 specimens and 9336 annotated blocks and blood samples) of breast cancer and 1543 cases (including 1334 specimens and 2671 annotated blocks and blood samples) of melanoma. These numbers continue to grow, and plans to integrate new tumor sites are in progress. Furthermore, the group has also developed a central web-based tool that allows investigators to share their translational (genomics/proteomics) experiment data on research evaluating potential biomarkers via a central location on the Consortium’s web site.Conclusions: The technological achievements and the statewide informatics infrastructure that have been established by the Consortium will enable robust and efficient studies of biomarkers and their relevance to the clinical course of cancer. Studies resulting from the creation of the Consortium may allow for better classification of cancer types, more accurate assessment of disease prognosis, a better ability to identify the most appropriate individuals for clinical trial participation, and better surrogate markers of disease progression and/or response to therapy.

We have shown previously that i.v. injection of interleukin-2-(IL-2) activated natural killer (A-NK) cells together with IL-2 leads to a substantial localization of the A-NK cells into most, but not all, well-established B16 lung metastases in C57BL/6 mice within 12–24 hr. We demonstrate that the morphology of the lung metastases, (loose or more compact in appearance), and their location in the lungs (on the surface or deep in the lung parenchyma) are closely tied to the infiltration-permissiveness of the metastases as well as their sensitivity to treatment with A-NK cells. Although more than 1,100 A-NK cells/mm2 were found in deep metastases with a “loose” morphology (D-L), only 534, 90 and 89 cells/mm2 were found in surface-loose (S-L), surface-compact (S-C) and deep-compact (D-C) metastases, respectively. The best infiltrated metastases responded best to the A-NK cell therapy. Thus, metastases of the D-L phenotype became reduced by 65–90% after treatment with 2 × 106 A-NK cells and IL-2 (120,000 IU Peg-IL-2 every 12 hr for 3 days) compared to similar lesions in animals treated with PEG-IL-2 alone. In contrast, poorly infiltrated metastases, that is lesions of the compact phenotype (D-C and S-C) as well as loose metastases on the lung surface (S-L), did not react significantly to this treatment. We conclude that adoptively transferred A-NK cells are able to eliminate even well-established metastases. The existence of metastases that are resistant to infiltration by the transferred effector cells at time of treatment might reduce the efficacy of cell-based immuno-therapeutic ventures. © 2003 Wiley-Liss, Inc. [ABSTRACT FROM AUTHOR]