Background: Numerous efforts were made to improve renal function and oncologic outcomes in surgery for patients with kidney cancer. We explored new robotic methods in solitary kidneys. Materials and Methods:We prospectively registered and included 16 patients in the 3D-robot-assisted partial nephrectomy (RAPN) group with a solitary kidney (anatomic or functional), and retrospectively identified 25 patients with a solitary kidney who received RAPN also operated by us for comparison. Results:The rates of global clamping reduced in the 3D-RAPN group (37.5% vs 76%)while selective rates were higher (56.2% vs 20%) (p = 0.028). The mean percentages of Scr increase (+20.2% vs +30.2%, p = 0.045) and eGFR reduction (−16.8% vs −27.1%) as well as rate of opening collecting systems (31.3% vs 72%, p = 0.010) were lower in 3D-RAPN group.Conclusions: 3D-RAPN less impaired the renal function of patients with a solitary kidney and showed superiority or non-inferiority in other evaluation indexes compared to conventional RAPN.
Background Kidney cancer undergoes a dramatic metabolic shift and has demonstrated responsiveness to immunotherapeutic intervention. However, metabolic classification and the associations between metabolic alterations and immune infiltration in Renal cell carcinoma still remain elucidative. Methods Unsupervised consensus clustering was conducted on the TCGA cohorts for metabolic classification. GESA, mRNAsi, prognosis, clinical features, mutation load, immune infiltration and differentially expressed gene differences among different clusters were compared. The prognosis model and nomograms were constructed based on metabolic gene signatures and verified using external ICGC datasets. Immunohistochemical results from Human Protein Atlas database and Tongji hospital were used to validate gene expression levels in normal tissues and tumor samples. CCK8, apoptosis analysis, qPCR, subcutaneously implanted murine models and flowcytometry analysis were applied to investigate the roles of ACAA2 in tumor progression and anti-tumor immunity. Results Renal cell carcinoma was classified into 3 metabolic subclusters and the subcluster with low metabolic profiles displayed the poorest prognosis, highest invasiveness and AJCC grade, enhanced immune infiltration but suppressive immunophenotypes. ACAA2, ACAT1, ASRGL1, AKR1B10, ABCC2, ANGPTL4 were identified to construct the 6 gene-signature prognosis model and verified both internally and externally with ICGC cohorts. ACAA2 was demonstrated as a tumor suppressor and was associated with higher immune infiltration and elevated PD-1 expression of CD8+ T cells. Conclusions Our research proposed a new metabolic classification method for RCC and revealed intrinsic associations between metabolic phenotypes and immune profiles. The identified gene signatures might serve as key factors bridging tumor metabolism and tumor immunity and warrant further in-depth investigations.
Background Skeletal muscle atrophy is a common condition without a pharmacologic therapy. AGGF1 encodes an angiogenic factor that regulates cell differentiation, proliferation, migration, apoptosis, autophagy and endoplasmic reticulum stress, promotes vasculogenesis and angiogenesis and successfully treats cardiovascular diseases. Here, we report the important role of AGGF1 in the pathogenesis of skeletal muscle atrophy and attenuation of muscle atrophy by AGGF1. Methods In vivo studies were carried out in impaired leg muscles from patients with lumbar disc herniation, two mouse models for skeletal muscle atrophy (denervation and cancer cachexia) and heterozygous Aggf1+/− mice. Mouse muscle atrophy phenotypes were characterized by body weight and myotube cross‐sectional areas (CSA) using H&E staining and immunostaining for dystrophin. Molecular mechanistic studies include co‐immunoprecipitation (Co‐IP), western blotting, quantitative real‐time PCR analysis and immunostaining analysis. Results Heterozygous Aggf1+/− mice showed exacerbated phenotypes of reduced muscle mass, myotube CSA, MyHC (myosin heavy chain) and α‐actin, increased inflammation (macrophage infiltration), apoptosis and fibrosis after denervation and cachexia. Intramuscular and intraperitoneal injection of recombinant AGGF1 protein attenuates atrophy phenotypes in mice with denervation (gastrocnemius weight 81.3 ± 5.7 mg vs. 67.3 ± 5.1 mg for AGGF1 vs. buffer; P < 0.05) and cachexia (133.7 ± 4.7 vs. 124.3 ± 3.2; P < 0.05). AGGF1 expression undergoes remodelling and is up‐regulated in gastrocnemius and soleus muscles from atrophy mice and impaired leg muscles from patients with lumbar disc herniation by 50–60% (P < 0.01). Mechanistically, AGGF1 interacts with TWEAK (tumour necrosis factor‐like weak inducer of apoptosis), which reduces interaction between TWEAK and its receptor Fn14 (fibroblast growth factor‐inducing protein 14). This leads to inhibition of Fn14‐induced NF‐kappa B (NF‐κB) p65 phosphorylation, which reduces expression of muscle‐specific E3 ubiquitin ligase MuRF1 (muscle RING finger 1), resulting in increased MyHC and α‐actin and partial reversal of atrophy phenotypes. Autophagy is reduced in Aggf1+/− mice due to inhibition of JNK (c‐Jun N‐terminal kinase) activation in denervated and cachectic muscles, and AGGF1 treatment enhances autophagy in two atrophy models by activating JNK. In impaired leg muscles of patients with lumbar disc herniation, MuRF1 is up‐regulated and MyHC and α‐actin are down‐regulated; these effects are reversed by AGGF1 by 50% (P < 0.01). Conclusions These results indicate that AGGF1 is a novel regulator for the pathogenesis of skeletal muscle atrophy and attenuates skeletal muscle atrophy by promoting autophagy and inhibiting MuRF1 expression through a molecular signalling pathway of AGGF1‐TWEAK/Fn14‐NF‐κB. More importantly, the results indicate that AGGF1 protein therapy may be a novel approach to treat patients with skeletal muscle atrophy.
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