AIF-regulated oxidative phosphorylation supports lung cancer development.
Shuan RaoLaura MondragónBlanka PranjicToshikatsu HanadaGautier StollThomas KöcherPeng ZhangAlexander JaisAlexander LercherAndreas BergthalerDaniel SchramekKatharina HaighValentina SicaMarion LeducNazanine ModjtahediTsung-Pin PaiMasahiro OnjiIris UribesalgoReiko HanadaIvona KozieradzkiRubina KoglgruberShane J CroninZhigang SheFranz QuehenbergerHelmut H PopperLukas KennerJody J HaighOliver KeppMalgorzata RakKaican CaiGuido KroemerJosef M PenningerPublished in: Cell research (2019)
Cancer is a major and still increasing cause of death in humans. Most cancer cells have a fundamentally different metabolic profile from that of normal tissue. This shift away from mitochondrial ATP synthesis via oxidative phosphorylation towards a high rate of glycolysis, termed Warburg effect, has long been recognized as a paradigmatic hallmark of cancer, supporting the increased biosynthetic demands of tumor cells. Here we show that deletion of apoptosis-inducing factor (AIF) in a KrasG12D-driven mouse lung cancer model resulted in a marked survival advantage, with delayed tumor onset and decreased malignant progression. Mechanistically, Aif deletion leads to oxidative phosphorylation (OXPHOS) deficiency and a switch in cellular metabolism towards glycolysis in non-transformed pneumocytes and at early stages of tumor development. Paradoxically, although Aif-deficient cells exhibited a metabolic Warburg profile, this bioenergetic change resulted in a growth disadvantage of KrasG12D-driven as well as Kras wild-type lung cancer cells. Cell-autonomous re-expression of both wild-type and mutant AIF (displaying an intact mitochondrial, but abrogated apoptotic function) in Aif-knockout KrasG12D mice restored OXPHOS and reduced animal survival to the same level as AIF wild-type mice. In patients with non-small cell lung cancer, high AIF expression was associated with poor prognosis. These data show that AIF-regulated mitochondrial respiration and OXPHOS drive the progression of lung cancer.
Keyphrases
- wild type
- poor prognosis
- oxidative stress
- long non coding rna
- induced apoptosis
- cell death
- endoplasmic reticulum stress
- type diabetes
- transcription factor
- squamous cell carcinoma
- protein kinase
- squamous cell
- single cell
- metabolic syndrome
- cell proliferation
- young adults
- binding protein
- cell therapy
- skeletal muscle
- free survival
- adipose tissue
- artificial intelligence
- big data
- machine learning