Proteomics

Dataset Information

0

Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target


ABSTRACT: The genomic landscape of colorectal cancer (CRC) is shaped by inactivating mutations in tumour suppressors such as APC, and oncogenic mutations such as mutant KRAS. Here we used genetically engineered mouse models (GEMMs), and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that untargeted metabolic profiling can be applied to stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging (MSI) to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-deficient CRC. Loss of Apc in the murine intestine was found sufficient to drive expression of one of its enzymes, adenosylhomocysteinase (AHCY), which was also found to be transcriptionally upregulated in human CRC. Targeting of AHCY function impaired growth of APC-deficient organoids in vitro, and prevented the characteristic hyperproliferative/crypt progenitor phenotype driven by acute deletion of Apc in vivo, even in the context of mutant Kras. Finally, pharmacological inhibition of AHCY reduced intestinal tumour burden in ApcMin/+ mice indicating its potential as a metabolic drug target in CRC.

INSTRUMENT(S): Xevo G2 XS Tof, TSQ Altis, Xevo G2-XS QTof, SYNAPT G2-Si, Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606) Mus Musculus (ncbitaxon:10090)

SUBMITTER: David sumpton   Johan Vande Voorde   Owen Sansom  

PROVIDER: MSV000092468 | MassIVE | Tue Jul 18 07:53:00 BST 2023

REPOSITORIES: MassIVE

altmetric image

Publications

Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target.

Vande Voorde Johan J   Steven Rory T RT   Najumudeen Arafath K AK   Ford Catriona A CA   Dexter Alex A   Gonzalez-Fernandez Ariadna A   Nikula Chelsea J CJ   Xiang Yuchen Y   Ford Lauren L   Maneta Stavrakaki Stefania S   Gilroy Kathryn K   Zeiger Lucas B LB   Pennel Kathryn K   Hatthakarnkul Phimmada P   Elia Efstathios A EA   Nasif Ammar A   Murta Teresa T   Manoli Eftychios E   Mason Sam S   Gillespie Michael M   Lannagan Tamsin R M TRM   Vlahov Nikola N   Ridgway Rachel A RA   Nixon Colin C   Raven Alexander A   Mills Megan M   Athineos Dimitris D   Kanellos Georgios G   Nourse Craig C   Gay David M DM   Hughes Mark M   Burton Amy A   Yan Bin B   Sellers Katherine K   Wu Vincen V   De Ridder Kobe K   Shokry Engy E   Huerta Uribe Alejandro A   Clark William W   Clark Graeme G   Kirschner Kristina K   Thienpont Bernard B   Li Vivian S W VSW   Maddocks Oliver D K ODK   Barry Simon T ST   Goodwin Richard J A RJA   Kinross James J   Edwards Joanne J   Yuneva Mariia O MO   Sumpton David D   Takats Zoltan Z   Campbell Andrew D AD   Bunch Josephine J   Sansom Owen J OJ  

Nature metabolism 20230814 8


The genomic landscape of colorectal cancer (CRC) is shaped by inactivating mutations in tumour suppressors such as APC, and oncogenic mutations such as mutant KRAS. Here we used genetically engineered mouse models, and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that untargeted metabolic profiling can be applied to stratify intestinal tissues according to underlying genetic alterations,  ...[more]

Similar Datasets

2021-08-13 | GSE182019 | GEO
2020-11-11 | GSE160479 | GEO
2020-11-11 | GSE160478 | GEO
2017-06-13 | GSE99100 | GEO
2017-06-13 | GSE99077 | GEO
2015-06-18 | E-GEOD-67186 | biostudies-arrayexpress
2013-10-01 | E-GEOD-47772 | biostudies-arrayexpress
2019-10-16 | GSE119197 | GEO
2013-04-01 | E-GEOD-40856 | biostudies-arrayexpress
2019-12-31 | GSE112226 | GEO