Spectrochemical analysis highlights similarities in adenocarcinomas irrespective of primary tissue origins.

• DOI: 10.1200/jco.2017.35.15_suppl.e13551
• Publication Date: 2018-09-06T15:41:11Z
• Authors: Danielle Bury; Guy Faust; Maria Paraskevaidi; Timothy P Dawson; Francis L. Martin
• Keywords: Primary tumor

e13551 Background: Identification of primary tissue origin brain metastases can be histopathologically challenging. Initial diagnosis malignancy provided on intraoperative smears; however, it requires formal histopathological examination along with immunohistochemistry to reach a final diagnosis. On occasion this will still fail determine origin. This study aims demonstrate if Raman spectroscopy is able metastasis three common tumours. Methods: Formalin fixed paraffin embedded from twenty comprising colorectal adenocarcinomas ( n= 7), lung 7) and melanomas 6) were obtained the Brain Tumour NorthWest bank. Sections (10-μm thick) placed onto glass slides covered in aluminium foil de-waxed prior spectral acquisition. 25 spectra per section collected at random, using 785 nm laser 1200 g mm -1 grating an acquisition time 30 sec. Computational analysis within MatLab environment was then conducted. Results: Following PCA-LDC analysis, classification accuracy groups was; adenocarcinoma 71.3%, 71% melanoma 70%. A one-way ANOVA showed statistically significant differences between groups, p = 0.0014. combining increased 87.8%, whilst fell 68.9%. student’s t-test confirmed statistical significance two < 0.0001. Conclusions: classify different tumours by type, though sensitivity specificity diminished used adenocarcinomas. Therefore for clinical use, such new tools may aid clinician tumour type intra-operatively but classic histopathology required confirmation. Such technologies provide useful adjunct more conventional approaches; instance, decreasing number immunohistochemical stains These results also suggest strong similarities origins.