Search

Purpose: The incidence and mortality of lung cancer are continuously rising in recent years. Mitochondrial energy metabolism malfunction is found to be crucial in cancer proliferation and bioenergetic reprogramming, especially for lung cancer. In this study, we attempted to use mitochondrial-targeted drug therapy to change the energy metabolism pattern of cancer cells to inhibit the development of lung cancer, and investigated its mechanism of action and key targets through multi-omics studies. Methods: In this study, we established the in vivo tumor mouse mode, treated mice with multiple mitochondrial-targeted drug combinations and DDP, severally. Then, we investigated the differences between the 7-drug group with the control group and the DDP treatment group by transcriptomics, proteomics and metabolomics to find the therapeutic targets. Results: We found that mitochondria-targeting drug cocktail therapy, especially the 7-drug regimen, effectively improved mitochondrial metabolism, changed energy supply patterns in lung cancer cells, significantly increased NK cells in tumor tissues, and decreased tumor markers in plasma. Multi-omics analysis informed that the combination of 7-drug could up-regulate mitochondrial oxidative phosphorylation, ATP synthesis and autophagy related genes, and down-regulate proliferation and immune-related genes compared with the control group. By further mapping the protein interaction network, we identified a key target for 7-drug therapy to reverse tumor metabolic reprogramming and validated it in metabolomics. Conclusions: Mitochondrial-targeted drug cocktail therapy can effectively inhibit the occurrence and development of tumors, through the reprogramming of energy metabolism and the increase in immune cells in tumor tissues. Thus, we provide a novel approach for the treatment of lung cancer and present evidence-based clues for the combined use of targeted mitochondrial drugs. [ABSTRACT FROM AUTHOR]

Background: Minimally invasive liver resection of the posterosuperior region is considered a challenging procedure due to poor exposure and difficult bleeding control. A robotic approach is supposed to be advantageous in posterosuperior segmentectomy. Its benefits over laparoscopic liver resection (LLR) remain undetermined. This study compared robotic liver resection (RLR) and LLR in the posterosuperior region performed by a single surgeon. Materials and methods: We retrospectively analyzed consecutive RLR and LLR performed by a single surgeon between December 2020 and March 2022. Patient characteristics and perioperative variables were compared. A 1:1 propensity score matched (PSM) analysis was performed between both groups. Results: The analysis included 48 RLR and 57 LLR procedures in the posterosuperior region. After PSM analysis, 41 cases of both groups were retained. In pre-PSM cohort, the operative time in the RLR group was significantly shorter than in the LLR group (160 vs. 208 min, P = 0.001), especially in radical resection of malignant tumors (176 vs. 231 min, P = 0.004). The total Pringle maneuver duration was also markedly shorter (40 vs. 51 min, P = 0.047), and the estimated blood loss in the RLR group was lower (92 vs. 150 mL, P = 0.005). The postoperative hospital stay (POHS) in the RLR group was significantly shorter (5.4 vs. 7.5 days, P = 0.048). In PSM cohort, operative time in the RLR group was also significantly shorter (163 vs. 193 min, P = 0.036), and the estimated blood loss was lower (92 vs. 144 mL, P = 0.024). However, the total Pringle maneuver duration and POHS showed no significant difference. The complications were similar between two groups in both pre-PSM and PSM cohorts. Conclusion: RLR in the posterosuperior region was as safe and feasible as LLR. RLR was associated with reduced operative time and blood loss than LLR. [ABSTRACT FROM AUTHOR]