Dataset Information

Analysis of colorectal adenocarcinoma tissue samples by DESI mass spectrometry imaging

ABSTRACT: Ex vivo colorectal adenocarcinoma samples were analysed by desorption electrospray ionisation using an Orbitrap mass spectrometer. The samples were analysed in negative mode over the m/z range 600-1000. Some of the samples presented in this dataset were analysed as part of [1]. The study makes available imzML files of profile and centroid mode data, as well as low- and high- resolution optical image files of H&E-stained sections. These files can be found in the zip file named after each tissue section.

Ref:
[1] Gerbig S, Golf O, Balog J, Denes J, Baranyai Z, Zarand A, Raso E, Timar J, Takats Z. Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging. Anal Bioanal Chem. 2012 Jun;403(8):2315-25. doi:10.1007/s00216-012-5841-x. PMID:22447214

INSTRUMENT(S): Exactive

SUBMITTER: James S McKenzie

PROVIDER: MTBLS289 | MetaboLights | 2016-04-28

REPOSITORIES: MetaboLights

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Publications

Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging.

Gerbig Stefanie S Golf Ottmar O Balog Julia J Denes Julia J Baranyai Zsolt Z Zarand Attila A Raso Erzsebet E Timar Jozsef J Takats Zoltan Z

Analytical and bioanalytical chemistry 20120325 8

Negative ion desorption electrospray ionization (DESI) was used for the analysis of an ex vivo tissue sample set comprising primary colorectal adenocarcinoma samples and colorectal adenocarcinoma liver metastasis samples. Frozen sections (12 μm thick) were analyzed by means of DESI imaging mass spectrometry (IMS) with spatial resolution of 100 μm using a computer-controlled DESI imaging stage mounted on a high resolution Orbitrap mass spectrometer. DESI-IMS data were found to predominantly featu ...[more]

PMID: 22447214

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Project description:Pulmonary enteric adenocarcinoma (PEAD) is a rare non-small cell lung cancer subtype. It is poorly characterized and cannot be distinguished from metastatic colorectal or upper gastrointestinal adenocarcinomas (ADCs) by means of routine pathological methods. As DNA methylation patterns are known to be highly tissue specific, we aimed to develop a methylation-based algorithm to differentiate these entities. To this end, genome wide methylation profiles of 600 primary pulmonary, colorectal and upper gastrointestinal ADCs obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database were used as a reference cohort to train a machine learning algorithm. The resulting classifier correctly classified all samples from a validation cohort consisting of 680 primary pulmonary, colorectal and upper gastrointestinal ADCs from TCGA and the GEO database, demonstrating the ability of the algorithm to reliably distinguish these three entities. We then analyzed DNA methylation data of 15 PEADs as well as four pulmonary metastases and four primary colorectal ADCs with the algorithm. All 15 PEADs were reliably classified as primary pulmonary tumors and all four metastases as well as all four primary colorectal ADC samples were identified as primary colorectal ADCs. In a t-distributed stochastic neighbor embedding analysis, the PEAD samples did not form a separate methylation subclass but rather diffusely intermixed with other pulmonary ADCs. Additional characterization of the PEAD series using fluorescence in-situ hybridization, next generation sequencing and copy number analysis revealed KRAS mutations in nine of 15 samples (60%) and a high number of structural chromosomal changes. Except for an unusually high rate of chromosome 20 gain (66.7%) the molecular data was mostly reminiscent of standard pulmonary ADCs. In conclusion, we provide sound evidence of the pulmonary origin of PEAD and in addition provide a publicly available machine learning based algorithm to reliably distinguish PEAD from metastatic colorectal cancer and upper gastrointestinal adenocarcinomas.

Dataset Information

Analysis of colorectal adenocarcinoma tissue samples by DESI mass spectrometry imaging

Publications

Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging.

Similar Datasets

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