Ranelle C Salunga

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Xiao-Jun Ma,1 Zuncai Wang,2 Paula D. Ryan,3 Steven J. Isakoff,4,5 Anne Barmettler,2 Andrew Fuller,2 Beth Muir,2 Gayatry Mohapatra,2 Ranelle Salunga,1 J. Todd Tuggle,1 Yen Tran,1 Diem Tran,1 Ana Tassin,1 Paul Amon,1 Wilson Wang,1 Wei Wang,1 Edward Enright,1 Kimberly Stecker,1 Eden Estepa-Sabal,1 Barbara Smith,3 Jerry Younger,3 Ulysses Balis,2 James(More)
Although distinct pathological stages of breast cancer have been described, the molecular differences among these stages are largely unknown. Here, through the combined use of laser capture microdissection and DNA microarrays, we have generated in situ gene expression profiles of the premalignant, preinvasive, and invasive stages of human breast cancer. Our(More)
manner and used to study interrelationships of different cellular constituents and processes. The feasibility of these improvements relies not only on an increased number of probes or a larger set of fluorophores but also on advances in the hardware components. We are now incorporating spectral analysis into the coherent multiprobe approach by means of a(More)
PURPOSE Histologic tumor grade is a well-established prognostic factor for breast cancer, and tumor grade-associated genes are the common denominator of many prognostic gene signatures. The objectives of this study are as follows: (a) to develop a simple gene expression index for tumor grade (molecular grade index or MGI), and (b) to determine whether MGI(More)
Accurate determination of cancer origin is necessary to guide optimal treatment but remains a diagnostic challenge. Gene expression profiling technologies have aided the classification of tumors and, therefore, could be applied in conjunction with clinicopathologic correlates to improve accuracy. We report an expanded version of the previously described(More)
CONTEXT Correct diagnosis of the tissue origin of a metastatic cancer is the first step in disease management, but it is frequently difficult using standard pathologic methods. Microarray-based gene expression profiling has shown great promise as a new tool to address this challenge. OBJECTIVE Adoption of microarray technologies in the clinic remains(More)
Information on the neuroanatomical expression of a given gene is critical to understanding its function in the central nervous system. The integration of laser capture microdissection (LCM), T7-based RNA amplification and cDNA microarrays allows for this information to be simultaneously generated for thousands of genes. To validate this integrative(More)
Laser capture microdissection in combination with microarrays allows for the expression analysis of thousands of genes in selected cells. Here we describe single-cell gene expression profiling of CA1 neurons in the rat hippocampus using a combination of laser capture, T7 RNA amplification, and cDNA microarray analysis. Subsequent cluster analysis of the(More)
Background:A dichotomous index combining two gene expression assays, HOXB13 : IL17BR (H : I) and molecular grade index (MGI), was developed to assess risk of recurrence in breast cancer patients. The study objective was to demonstrate the prognostic utility of the combined index in early-stage breast cancer.Methods:In a blinded retrospective analysis of 588(More)
The accurate determination of the risk of cancer recurrence is an important unmet need in the management of prostate cancer. Patients and physicians must weigh the benefits of currently available therapies against the potential morbidity of these treatments. Herein we describe the development of a gene expression-based continuous risk index and a validation(More)