Prognostic roles of mitochondrial transcription termination factors in non-small cell lung cancer

Modulating p-AMPK/mTOR Pathway of Mitochondrial Dysfunction Caused by MTERF1 Abnormal Expression in Colorectal Cancer Cells

Human mitochondrial transcription termination factor 1 (MTERF1) has been demonstrated to play an important role in mitochondrial gene expression regulation. However, the molecular mechanism of MTERF1 in colorectal cancer (CRC) remains largely unknown. Here, we found that MTERF1 expression was significantly increased in colon cancer tissues compared with normal colorectal tissue by Western blotting, immunohistochemistry, and tissue microarrays (TMA). Overexpression of MTERF1 in the HT29 cell promoted cell proliferation, migration, invasion, and xenograft tumor formation, whereas knockdown of MTERF1 in HCT116 cells appeared to be the opposite phenotype to HT29 cells. Furthermore, MTERF1 can increase mitochondrial DNA (mtDNA) replication, transcription, and protein synthesis in colorectal cancer cells; increase ATP levels, the mitochondrial crista density, mitochondrial membrane potential, and oxygen consumption rate (OCR); and reduce the ROS production in colorectal cancer cells, thereby enhancing mitochondrial oxidative phosphorylation (OXPHOS) activity. Mechanistically, we revealed that MTERF1 regulates the AMPK/mTOR signaling pathway in cancerous cell lines, and we also confirmed the involvement of the AMPK/mTOR signaling pathway in both xenograft tumor tissues and colorectal cancer tissues. In summary, our data reveal an oncogenic role of MTERF1 in CRC progression, indicating that MTERF1 may represent a new therapeutic target in the future.

Evaluation of the tRNA-Leu (UUR) gene haplotype profile observed in canine mammary gland tumours based on comparative analysis with the MT-TL1 human gene

The aetiology and pathogenesis of many canine tumours are likely to be similar to cancers found in humans. This study aimed to evaluate a plausible link between changes in the tRNA-Leu (UUR) gene and the carcinogenesis process in dogs with mammary gland tumours. The whole mitochondrial DNA (mtDNA) isolated from blood and tumour tissues of 13 dogs with malignant mammary gland tumours was sequenced. The present work is the first report showing that some polymorphisms might occur at the corresponding positions in the human and canine mtDNA genome, which in turn may provoke similar deleterious effects. The homology between the human MT-TL1 and canine tRNA-Leu (UUR) genes was 84%. After resequencing of the whole mitochondrial DNA genome with the use of the NGS technology, two polymorphisms in two haplotypes were identified: m.2683G>A (observed in 18 out of 27 samples) and m.2678_2679insG (27 out of 27 samples). The m.2683G>A polymorphism corresponded to a deleterious change at m.3243A>G, which is linked with MELAS (Mitochondrial Encephalomyopathy, Lactic Acidosis, Stroke-like episodes) syndrome and with different types of cancers in humans as well. The comparative analysis of MT-TL1 and tRNA-Leu (UUR) led us to hypothesise that the m.2678_2679insG and m.2683G>A polymorphisms might influence the dog’s condition and might be linked with tumourigenesis, as observed in humans.

Pan-cancer characterization of metabolism-related biomarkers identifies potential therapeutic targets

Background

Generally, cancer cells undergo metabolic reprogramming to adapt to energetic and biosynthetic requirements that support their uncontrolled proliferation. However, the mutual relationship between two critical metabolic pathways, glycolysis and oxidative phosphorylation (OXPHOS), remains poorly defined.

Methods

We developed a “double-score” system to quantify glycolysis and OXPHOS in 9668 patients across 33 tumor types from The Cancer Genome Atlas and classified them into four metabolic subtypes. Multi-omics bioinformatical analyses was conducted to detect metabolism-related molecular features.

Results

Compared with patients with low glycolysis and high OXPHOS (LGHO), those with high glycolysis and low OXPHOS (HGLO) were consistently associated with worse prognosis. We identified common dysregulated molecular features between different metabolic subgroups across multiple cancers, including gene, miRNA, transcription factor, methylation, and somatic alteration, as well as investigated their mutual interfering relationships.

Conclusion

Overall, this work provides a comprehensive atlas of metabolic heterogeneity on a pan-cancer scale and identified several potential drivers of metabolic rewiring, suggesting corresponding prognostic and therapeutic utility.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-021-02889-0.