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Metabolic collateral lethal target identification reveals MTHFD2 paralogue dependency in ovarian cancer
Abhinav Achreja1,2,3,4, Tao Yu5, Anjali Mittal1,3,6
1Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI, USA.
Abstract:
Recurrent loss-of-function deletions cause frequent inactivation of tumour suppressor genes but often also involve the collateral deletion of essential genes in chromosomal proximity, engendering dependence on paralogues that maintain similar function. Although these paralogues are attractive anticancer targets, no methodology exists to uncover such collateral lethal genes. Here we report a framework for collateral lethal gene identification via metabolic fluxes, CLIM, and use it to reveal MTHFD2 as a collateral lethal gene in UQCR11-deleted ovarian tumours. We show that MTHFD2 has a non-canonical oxidative function to provide mitochondrial NAD+, and demonstrate the regulation of systemic metabolic activity by the paralogue metabolic pathway maintaining metabolic flux compensation. This UQCR11-MTHFD2 collateral lethality is confirmed in vivo, with MTHFD2 inhibition leading to complete remission of UQCR11-deleted ovarian tumours. Using CLIM's machine learning and genome-scale metabolic flux analysis, we elucidate the broad efficacy of targeting MTHFD2 despite distinct cancer genetic profiles co-occurring with UQCR11 deletion and irrespective of stromal compositions of tumours.
Insights
Researchers identified a new method to find collateral lethal genes, revealing MTHFD2 as a target in ovarian tumors with UQCR11 deletions. Inhibiting MTHFD2 led to complete tumor remission, offering a promising new cancer therapy.
Area of Science:
- Oncology
- Metabolic Engineering
- Genomics
Background:
- Tumour suppressor gene deletions can co-occur with essential gene loss, creating dependencies on functional paralogues.
- Identifying these collateral lethal genes is crucial for developing targeted cancer therapies, but no methodology currently exists.
Purpose of the Study:
- To develop a novel framework for identifying collateral lethal genes using metabolic fluxes.
- To uncover MTHFD2 as a collateral lethal gene in ovarian tumours with UQCR11 deletions.
Main Methods:
- Developed the Collateral Lethal Gene Identification via Metabolic fluxes (CLIM) framework.
- Utilized machine learning and genome-scale metabolic flux analysis.
- Validated findings through in vivo experiments and MTHFD2 inhibition.
Main Results:
- Identified MTHFD2 as a collateral lethal gene in UQCR11-deleted ovarian tumours.
- Demonstrated MTHFD2's non-canonical oxidative function in providing mitochondrial NAD+.
- Confirmed that MTHFD2 inhibition leads to complete remission of UQCR11-deleted ovarian tumours in vivo.
Conclusions:
- The CLIM framework effectively identifies collateral lethal genes.
- Targeting MTHFD2 shows broad efficacy in UQCR11-deleted ovarian cancers, regardless of genetic background or tumour stroma.
- This discovery presents a promising new therapeutic strategy for ovarian cancer.
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