In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 6_suppl ( 2013-02-20), p. 235-235
Abstract:
235 Background: Metabolites are emerging biomarkers of cancer described as a link between genotype and phenotype. In previous studies we used molecular preservation by extraction and fixation (mPREF) on a metabolomics platform to screen for candidate metabolites using 18 gauge core needle biopsies of prostate tissues obtained ex vivo. Methods: Single core needle biopsies are immediately placed in 80% aqueous alcohol and transferred to formalin after 12-24 hours. The alcohol is retained, dried down and the residue reconstituted with 95 µL of acetonitrile plus 95 µL of water. Histology is performed on exactly the same tissue. Results: Using metabolomics, 83 metabolites showed differences between cancer containing vs. non-cancer containing biopsies. For nine of these differential metabolites, quantitative LC-MS assays have been developed using the same 18 gauge needle biopsy protocol. Thirty mPREF samples including tumor/non-tumor were analyzed using the developed method and the concentration ranges obtained. These analytes were selected in part because they could all be assayed on a single LC/MS run. Results comparing no tumor/tumor normalized to surface area of the biopsy core were as follows (see Table). Histology and immunohistochemistry (IHC) were satisfactory, and as the biopsy cores were moved to formalin, the work flow fits well with existing histopathology processing and microtomy methods. Conclusions: Our results confirm the original discovery trends and indicate that metabolites can be quantitated in single core biopsies fixed in aqueous methanol. From our experience and the literature, the performance of DNA/RNA extraction methods, in-situ hybridization, and proteomic analysis should differ very little from the use of formalin as primary fixative. The ability to quantitate any constituent of intact tissue is significant since most available methods such as IHC are subject to many variables and are difficult to quantitate. [Table: see text]
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/jco.2013.31.6_suppl.235
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2013
detail.hit.zdb_id:
2005181-5
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