With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Objective To investigate the role of RNA-binding motif protein X-linked(RBMX)in regulating the proliferation,migration,invasion and glycolysis in human bladder cancer cells.Methods A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown,respectively,and successful cell modeling was verified using RT-qPCR and Western blotting.Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay,and cell migration and invasion abilities were determined using Transwell experiment.The expressions of glycolysis-related proteins M1 pyruvate kinase(PKM1)and M2 pyruvate kinase(PKM2)were detected using Western blotting.The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits.Results RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown.RBMX overexpression significantly inhibited the proliferation,clone formation,migration and invasion of bladder cancer cells,while RBMX knockdown produced the opposite effects.Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2,while RBMX knockdown produced the opposite effects.Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression(P<0.05)but increased significantly following RBMX knockdown(P<0.05).Conclusion RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression,suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

OBJECTIVE: To investigate whether Lingbao Huxin Pill (LBHX) protects against acute myocardial infarction (AMI) at the infarct border zone (IBZ) of myocardial tissue by regulating apoptosis and inflammation through the sirtuin 1 (SIRT1)-mediated forkhead box protein O1 (FOXO1) and nuclear factor-κ B (NF-κ B) signaling pathways. METHODS: Six-week-old Wistar rats with normal diet were randomized into the sham, the model, Betaloc (0.9 mg/kg daily), LBHX-L (0.45 mg/kg daily), LBHX-M (0.9 mg/kg daily), LBHX-H (1.8 mg/kg daily), and LBHX+EX527 (0.9 mg/kg daily) groups according to the method of random number table, 13 in each group. In this study, left anterior descending coronary artery (LADCA) ligation was performed to induce an AMI model in rats. The myocardial infarction area was examined using a 2,3,5-triphenyltetrazolium chloride solution staining assay. A TdT-mediated dUTP nick-end labeling (TUNEL) assay was conducted to assess cardiomyocyte apoptosis in the IBZ. The histopathology of myocardial tissue at the IBZ was assessed with Heidenhain, Masson and hematoxylineosin (HE) staining assays. The expression levels of tumor necrosis factor α (TNF-α), interleukin (IL)-6, IL-1 β, and intercellular adhesion molecule-1 were measured using enzyme-linked immunosorbent assays (ELISAs). The mRNA expressions of SIRT1 and FOXO1 were detected by real-time qPCR (RT-qPCR). The protein expressions of SIRT1, FOXO1, SOD2, BAX and NF- κ B p65 were detected by Western blot analysis. RESULTS: The ligation of the LADCA successfully induced an AMI model. The LBHX pretreatment reduced the infarct size in the AMI rats (P<0.01). The TUNEL assay revealed that LBHX inhibited cardiomyocyte apoptosis at the IBZ. Further, the histological examination showed that the LBHX pretreatment decreased the ischemic area of myocardial tissue (P<0.05), myocardial interstitial collagen deposition (P<0.05) and inflammation at the IBZ. The ELISA results indicated that LBHX decreased the serum levels of inflammatory cytokines in the AMI rats (P<0.05 or P<0.01). Furthermore, Western blot analysis revealed that the LBHX pretreatment upregulated the protein levels of SIRT1, FOXO1 and SOD2 (P<0.05) and downregulated NF- κ B p65 and BAX expressions (P<0.05). The RT-qPCR results showed that LBHX increased the SIRT1 mRNA and FOXO1 mRNA levels (P<0.05). These protective effects, including inhibiting apoptosis and alleviating inflammation in the IBZ, were partially abolished by EX527, an inhibitor of SIRT1. CONCLUSION LBHX could protect against AMI by suppressing apoptosis and inflammation in AMI rats and the SIRT1-mediated FOXO1 and NF- κ B signaling pathways were involved in the cardioprotection effect of LBHX.
Animals ; Apoptosis ; Drugs, Chinese Herbal ; Inflammation/metabolism* ; Myocardial Infarction/pathology* ; NF-kappa B/metabolism* ; Nerve Tissue Proteins ; Rats ; Rats, Wistar ; Sirtuin 1/genetics*

OBJECTIVE: To investigate the clinical features and outcome of neonatal acute respiratory distress syndrome (ARDS) in southwest Hubei, China. METHODS: According to the Montreux definition of neonatal ARDS, a retrospective clinical epidemiological investigation was performed on the medical data of neonates with ARDS who were admitted to Department of Neonatology/Pediatrics in 17 level 2 or level 3 hospitals in southwest Hubei from January to December, 2017. RESULTS: A total of 7 150 neonates were admitted to the 17 hospitals in southwest Hubei during 2017 and 66 (0.92%) were diagnosed with ARDS. Among the 66 neonates with ARDS, 23 (35%) had mild ARDS, 28 (42%) had moderate ARDS, and 15 (23%) had severe ARDS. The main primary diseases for neonatal ARDS were perinatal asphyxia in 23 neonates (35%), pneumonia in 18 neonates (27%), sepsis in 12 neonates (18%), and meconium aspiration syndrome in 10 neonates (15%). Among the 66 neonates with ARDS, 10 neonates (15%) were born to the mothers with an age of ≥35 years, 30 neonates (45%) suffered from intrauterine distress, 32 neonates (49%) had a 1-minute Apgar score of 0 to 7 points, 24 neonates (36%) had abnormal fetal heart monitoring results, and 21 neonates (32%) experienced meconium staining of amniotic fluid. Intraventricular hemorrhage was the most common comorbidity (12 neonates), followed by neonatal shock (9 neonates) and patent ductus arteriosus (8 neonates). All 66 neonates with ARDS were treated with mechanical ventilation in addition to the treatment for primary diseases. Among the 66 neonates with ARDS, 10 died, with a mortality rate of 15% (10/66), and 56 neonates were improved or cured, with a survival rate of 85% (56/66). CONCLUSIONS Neonatal ARDS in southwest Hubei is mostly mild or moderate. Perinatal asphyxia and infection may be the main causes of neonatal ARDS in this area. Intraventricular hemorrhage is the most common comorbidity. Neonates with ARDS tend to have a high survival rate after multimodality treatment.
China ; Female ; Humans ; Infant, Newborn ; Meconium Aspiration Syndrome ; Pregnancy ; Respiratory Distress Syndrome, Newborn ; Retrospective Studies

OBJECTIVE: To investigate the incidence of neonatal asphyxia and possible contributing factors for the development of severe asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture, China. METHODS: A total of 16 hospitals in Hubei Enshi Tujia and Miao Autonomous Prefecture were selected as research centers. A retrospective analysis was performed for the clinical data of 22 294 live births in these 16 hospitals from January to December, 2016 to investigate the incidence rate of neonatal asphyxia and possible contributing factors for the development of severe asphyxia. RESULTS: Of the 22 294 neonates born alive, 733 (3.29%) were diagnosed with neonatal asphyxia, among whom 627 had mild asphyxia and 106 had severe asphyxia. The neonates with low maternal education level, maternal anemia during pregnancy, chorioamnionitis, abnormal amniotic fluid, abnormal umbilical cord, placenta previa, placental abruption, Tujia Minority, preterm birth, and low birth weight had a higher incidence of severe asphyxia (P<0.05). CONCLUSIONS The incidence rate of neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture is higher. Low maternal education level, maternal anemia during pregnancy, chorioamnionitis, abnormal amniotic fluid, abnormal umbilical cord, placenta previa, placental abruption, Tujia Minority, preterm birth, and low birth weight may be related to the development of severe neonatal asphyxia.
Asphyxia Neonatorum ; epidemiology ; China ; Humans ; Incidence ; Infant, Newborn ; Retrospective Studies