The Tissue Microarray (TMA) Core facility shared resource provides a number of technologies, services and scientific consultation to support the research of the Sidney Kimmel Comprehensive Cancer Center (SKCCC) members and other Johns Hopkins University and outside investigators. In addition to TMA-related services, the laboratory has recently added routine histology services as well as consultations in and performance of immunohistochemistry (IHC) and multi-label immunofluorescence (IF) staining. The addition of these services and key personnel with vital expertise in these areas has greatly expanded the capabilities of this facility and markedly enhances the ability of SKCCC and other researchers to perform critically needed tissue leased biomarker studies. The TMA Lab has constructed 654 TMAs for 49 investigators containing 93,706 tissue Cores from 10,362 patient specimens containing tumors from the prostate, breast, pancreas, gall bladder, cervix, ovary, brain, liver, urinary bladder, salivary glands, esophagus, head and neck, thyroid and various cell lines and xenografts. Users have published more than 80 manuscripts involving this resource since the last funding period began. Instrumentation and expertise is available to automatically capture high resolution digital images of both standard histology/IHC based slides and TMA slides and the Core has greatly improved its capabilities in quantitative image analysis. Users have access to a set of Open Source web based software tools and backend database (TMAJ) that were developed to facilitate all facets of research involving TMA technology from TMA design, data entry, image diagnosis, image analysis, and publishing on the Internet.
The Specific Aims of this Shared Resource are to support and speed translational cancer research by : 1) continuing to guide production of and produce TMAs for SKCCC members and others using human surgical and autopsy specimens, human specimens from clinical trials, xenografts, animal tissue specimens and cell lines as needed;2) providing scientific consultations and services for routine histology and IHC/IF for novel cancer-associated biomarkers;3) t continuing to evaluate and update new TMA construction and slide scanning and image analyzis platforms;4) enhancing the Core's information technology platform to improve ease of use sharing of information. Lay: Our shared resource provides technology and expertise to facilitate all aspects of tissue based biomarker translational research on human biospecimens. This allows SKCCC investigators to more rapidly develop biomarkers and to help translate these biomarkers into tools that will help doctors better care for cancer patients.
|Zeidner, Joshua F; Zahurak, Marianna; Rosner, Gary L et al. (2015) The evolution of treatment strategies for patients with chronic myeloid leukemia relapsing after allogeneic bone marrow transplant: can tyrosine kinase inhibitors replace donor lymphocyte infusions? Leuk Lymphoma 56:128-34|
|Penet, Marie-France; Shah, Tariq; Bharti, Santosh et al. (2015) Metabolic imaging of pancreatic ductal adenocarcinoma detects altered choline metabolism. Clin Cancer Res 21:386-95|
|Sharabi, Andrew B; Nirschl, Christopher J; Kochel, Christina M et al. (2015) Stereotactic Radiation Therapy Augments Antigen-Specific PD-1-Mediated Antitumor Immune Responses via Cross-Presentation of Tumor Antigen. Cancer Immunol Res 3:345-55|
|DeZern, Amy E; Guinan, Eva C (2014) Aplastic anemia in adolescents and young adults. Acta Haematol 132:331-9|
|Paller, Channing J; Wissing, Michel D; Mendonca, Janet et al. (2014) Combining the pan-aurora kinase inhibitor AMG 900 with histone deacetylase inhibitors enhances antitumor activity in prostate cancer. Cancer Med 3:1322-35|
|Maldonado, Leonel; Teague, Jessica E; Morrow, Matthew P et al. (2014) Intramuscular therapeutic vaccination targeting HPV16 induces T cell responses that localize in mucosal lesions. Sci Transl Med 6:221ra13|
|Peltonen, Karita; Colis, Laureen; Liu, Hester et al. (2014) A targeting modality for destruction of RNA polymerase I that possesses anticancer activity. Cancer Cell 25:77-90|
|Huang, Peng; Ou, Ai-hua; Piantadosi, Steven et al. (2014) Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis. Contemp Clin Trials 39:294-302|
|Bhatnagar, Akrita; Wang, Yuchuan; Mease, Ronnie C et al. (2014) AEG-1 promoter-mediated imaging of prostate cancer. Cancer Res 74:5772-81|
|Cebulla, Jana; Kim, Eugene; Rhie, Kevin et al. (2014) Multiscale and multi-modality visualization of angiogenesis in a human breast cancer model. Angiogenesis 17:695-709|
Showing the most recent 10 out of 357 publications