Metabolic shift underlies tumor progression and immune evasion in S‐nitrosoglutathione reductase‐deficient cancer

Author:

Mena‐Osuna Rafael1,Mantrana Ana1,Guil‐Luna Silvia123ORCID,Sánchez‐Montero María Teresa1,Navarrete‐Sirvent Carmen1,Morales‐Ruiz Teresa14,Rivas‐Crespo Aurora1,Toledano‐Fonseca Marta12,García‐Ortíz María Victoria1,García‐Jurado Gema1,Gómez‐España María Auxiliadora35,González‐Fernández Rafael16,Villar Carlos7,Medina‐Fernández Francisco Javier8,Villalba José Manuel9,Aranda Enrique1235,Rodríguez‐Ariza Antonio125ORCID

Affiliation:

1. Maimonides Biomedical Research Institute of Córdoba (IMIBIC) Córdoba Spain

2. Cancer Network Biomedical Research Centre (CIBERONC) Madrid Spain

3. Department of Medicine Faculty of Medicine, University of Córdoba Córdoba Spain

4. Department of Genetics University of Córdoba Córdoba Spain

5. Medical Oncology Department Reina Sofía University Hospital Córdoba Spain

6. Immunology Department Reina Sofia University Hospital Córdoba Spain

7. Pathological Anatomy Department Reina Sofía University Hospital Córdoba Spain

8. General and Digestive Surgery Department Reina Sofía University Hospital Córdoba Spain

9. Cell Biology, Immunology and Physiology Department University of Córdoba Córdoba Spain

Abstract

AbstractS‐nitrosoglutathione reductase (GSNOR) is a denitrosylase enzyme that has been suggested to play a tumor suppressor role, although the mechanisms responsible are still largely unclear. In this study, we show that GSNOR deficiency in tumors is associated with poor prognostic histopathological features and poor survival in patients with colorectal cancer (CRC). GSNOR‐low tumors were characterized by an immunosuppressive microenvironment with exclusion of cytotoxic CD8+ T cells. Notably, GSNOR‐low tumors exhibited an immune evasive proteomic signature along with an altered energy metabolism characterized by impaired oxidative phosphorylation (OXPHOS) and energetic dependence on glycolytic activity. CRISPR‐Cas9‐mediated generation of GSNOR gene knockout (KO) CRC cells confirmed in vitro and in vivo that GSNOR‐deficiency conferred higher tumorigenic and tumor‐initiating capacities. Moreover, GSNOR‐KO cells possessed enhanced immune evasive properties and resistance to immunotherapy, as revealed following xenografting them into humanized mouse models. Importantly, GSNOR‐KO cells were characterized by a metabolic shift from OXPHOS to glycolysis to produce energy, as indicated by increased lactate secretion, higher sensitivity to 2‐deoxyglucose (2DG), and a fragmented mitochondrial network. Real‐time metabolic analysis revealed that GSNOR‐KO cells operated close to their maximal glycolytic rate, as a compensation for lower OXPHOS levels, explaining their higher sensitivity to 2DG. Remarkably, this higher susceptibility to glycolysis inhibition with 2DG was validated in patient‐derived xenografts and organoids from clinical GSNOR‐low tumors. In conclusion, our data support the idea that metabolic reprogramming induced by GSNOR deficiency is an important mechanism for tumor progression and immune evasion in CRC and that the metabolic vulnerabilities associated with the deficiency of this denitrosylase can be exploited therapeutically. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Funder

Ministerio de Ciencia e Innovación

Universidad de Córdoba

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. S-Nitrosylation at the intersection of metabolism and autophagy: Implications for cancer;Biochimica et Biophysica Acta (BBA) - Reviews on Cancer;2023-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3