Objective To investigate the clinical characteristics and influencing factors of moderate-to-severe pulmonary ventilation dysfunction in occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") patients complicated with pulmonary tuberculosis. Methods A total of 136 male pneumoconiosis patients complicated with pulmonary tuberculosis suffering different degrees of pulmonary ventilation dysfunction were selected as the study subjects using the judgmental sampling method. Patients were divided into mild dysfunction and moderate-to-severe dysfunction groups based on the degrees of pulmonary ventilation dysfunction. Clinical data from patients of these two groups were collected, and influencing factors of pulmonary ventilation dysfunction were analyzed. Results The prevalence of mild dysfunction and moderate-to-severe dysfunction among the study subjects was 39.0% and 61.0%, respectively. The proportion of patients with moderate-to-severe pulmonary ventilation dysfunction increased with the progression of pneumoconiosis (P<0.05). Patients in moderate-to-severe dysfunction group had higher rates of dyspnea, elevated C-reactive protein, coexisting chronic obstructive pulmonary disease (COPD), and a history of lung infections within the past two years compared with those in the mild dysfunction group (all P<0.05). The result of multivariate logistic regression analysis showed that the degree of pneumoconiosis, complicated with COPD, and a history of lung infections within the past two years were risk factors for moderate-to-severe pulmonary ventilation dysfunction (all P<0.05). Specifically, higher degree of pneumoconiosis was associated with a greater proportion of moderate-to-severe dysfunction, and patients complicated with COPD or had a history of lung infections within the past two years were more likely to experience severe pulmonary ventilation dysfunction. Conclusion The degree of pneumoconiosis, complicated with COPD, and a history of lung infections within the past two years are influencing factors of moderate-to-severe pulmonary ventilation dysfunction in patients with pneumoconiosis combined with pulmonary tuberculosis. Early detection of pneumoconiosis progression, timely diagnosis of COPD and lung infections, and appropriate treatment such as antifibrotic agents, inhaled bronchodilators, and anti-infective therapies are recommended.

Background::Adamantinomatous craniopharyngioma (ACP) is the commonest pediatric sellar tumor. No effective drug is available and interpatient heterogeneity is prominent. This study aimed to identify distinct molecular subgroups of ACP based on the multi-omics profiles, imaging findings, and histological features, in order to predict the response to anti-inflammatory treatment and immunotherapies.Methods::Totally 142 Chinese cases diagnosed with craniopharyngiomas were profiled, including 119 ACPs and 23 papillary craniopharyngiomas. Whole-exome sequencing (151 tumors, including recurrent ones), RNA sequencing (84 tumors), and DNA methylome profiling (95 tumors) were performed. Consensus clustering and non-negative matrix factorization were used for subgrouping, and Cox regression were utilized for prognostic evaluation, respectively.Results::Three distinct molecular subgroups were identified: WNT, ImA, and ImB. The WNT subgroup showed higher Wnt/β-catenin pathway activity, with a greater number of epithelial cells and more predominantly solid tumors. The ImA and ImB subgroups had activated inflammatory and interferon response pathways, with enhanced immune cell infiltration and more predominantly cystic tumors. Mitogen-activated protein kinases (MEK/MAPK) signaling was activated only in ImA samples, while IL-6 and epithelial-mesenchymal transition biomarkers were highly expressed in the ImB group, mostly consisting of children. The degree of astrogliosis was significantly elevated in the ImA group, with severe finger-like protrusions at the invasive front of the tumor. The molecular subgrouping was an independent prognostic factor, with the WNT group having longer event-free survival than ImB (Cox, P = 0.04). ImA/ImB cases were more likely to respond to immune checkpoint blockade (ICB) therapy than the WNT group ( P <0.01). In the preliminary screening of subtyping markers, CD38 was significantly downregulated in WNT compared with ImA and ImB ( P = 0.01). Conclusions::ACP comprises three molecular subtypes with distinct imaging and histological features. The prognosis of the WNT type is better than that of the ImB group, which is more likely to benefit from the ICB treatment.

ABSTRACT: Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients. REGISTRATION Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
Humans ; Meningioma/pathology* ; Consensus ; Neurosurgical Procedures ; Meningeal Neoplasms/pathology*

Objective:To design and implement a network-based quality management system for tumor radiotherapy.Methods:The system consists of B/S framework-based three-layer structures including the application layer, system service layer and data layer. It utilizes Nutz as the development framework to develop web applications, MySQL as the system database, Java programming language for system development, Tomcat as a system application server for project release and IE, Google and other mainstream browsers to achieve client access server functions.Results:The system can support integrated information management and service of quality control institutions at the provincial, municipal and county levels. The functions include procedure management, case management, quality control management, notification announcement, data management and system management, etc. The system has been set up and tested in the cooperation units, and the operation and function are in good condition.Conclusion:The system can support the assessment of online quality control, which is conducive to information analysis and sharing, promotes the standardization and normalization of quality control and improves work efficiency. Case management function can monitor the diagnosis and treatment processes of patients, establish continuous electronic record, deliver rational treatment and rehabilitation guidance plan, which play a pivotal role in the evaluation of tumor radiotherapy.

BACKGROUND: Lung cancer is the cancer with the highest morbidity and mortality at home and abroad at present. Using computed tomography (CT) to screen lung cancer nodules is a huge workload. To test the effect of artificial intelligence in automatic identification of lung cancer by using artificial intelligence to find the lung cancer nodules automatically in the chest CT of 1 mm and 5 mm thick. METHODS: 5,000 cases of T1 stage lung cancer patients with 1 mm and 5 mm layer thickness were respectively labeled and learned by computer neural network, the algorithm of forming pulmonary nodules was carried out. 500 cases of chest CT in T1 stage lung cancer patients with 1 mm and 5 mm thickness were tested by artificial intelligence formation, and the sensitivity and specificity were compared with artificial reading. RESULTS: Using artificial intelligence to read chest CT 500 in 5 mm, the sensitivity was 95.20%, the specificity was 93.20%, and the Kappa value of two times repeated read was 0.926,1. For 1 mm chest CT 500 cases, the sensitivity is 96.40%, the specificity is 95.60%, and the Kappa reads two times is 0.938,6. Compared with 5 doctors, the same CT sets with 1 mm thickness were read. The detection rates of artificial intelligence and artificial reading were similar to those of lung cancer nodules and negative control read films, and there was no significant difference between them. In the comparison of the same CT slices with 5 mm thickness, the number of detection of lung cancer nodules by artificial intelligence is better than that of artificial reading, and the sensitivity is higher, but the number of false messages is increased and the specificity is slightly worse. CONCLUSIONS The automatic learning of early lung cancer chest CT images by artificial intelligence can achieve high sensitivity and specificity of early lung cancer identification, and assist doctors in the diagnosis of lung cancer.
Artificial Intelligence ; Humans ; Lung Neoplasms ; diagnosis ; pathology ; Medical Informatics ; methods ; Neoplasm Staging

PURPOSE: It is well documented that natural killer (NK) cytotoxicity against hepatocellular carcinoma (HCC) cells is impaired in HCC, which might account for the failure of anti-tumor immune response. miRNAs are considered as important regulators for the development and functions of NK cells. However, the entire role of miR-506 in NK cells remains far from being addressed. MATERIALS AND METHODS: The expressions of miR-506 and signal transducer and activator of transcription 3 (STAT3) mRNA in primary NK cells from HCC patients and healthy controls were detected by quantitative real-time PCR. NK cell cytotoxicity was assessed by CFSE/7AAD cytotoxicity assay and lactate dehydrogenase assay. Luciferase reporter assay, RNA immunoprecipitation assay, and western blot were conducted to confirm the interaction between miR-506 and STAT3. RESULTS: miR-506 expression was downregulated and STAT3 mRNA was upregulated in primary NK cells from HCC patients. Primary NK cells from HCC patients showed remarkably reduced cytotoxicity against SMMC7721 or HepG2 cells. NK cell cytotoxicity was positively correlated with miR-506 expression and negatively correlated with STAT3 mRNA expression. Additionally, miR-506 overexpression enhanced NK cell cytotoxicity against HCC cells, while miR-506 inhibitor showed the reverse effect. Moreover, miR-506 could suppress STAT3 expression by directly targeting 3′-untranslated regions of STAT3. A negative correlation between miR-506 and STAT3 mRNA expression in HCC patients was observed. Mechanistically, overexpressing STAT3 greatly reversed miR-506-mediated promotion of NK cell cytotoxicity against HCC cells. CONCLUSION: miR-506 enhanced NK cell cytotoxicity against HCC cells by targeting STAT3, suggesting that modulating miR-506 expression maybe a promising approach for enhancing NK cell-based antitumor therapies.
Blotting, Western ; Carcinoma, Hepatocellular* ; Hep G2 Cells ; Humans* ; Immunoprecipitation ; Killer Cells, Natural* ; L-Lactate Dehydrogenase ; Luciferases ; MicroRNAs ; Real-Time Polymerase Chain Reaction ; RNA ; RNA, Messenger ; STAT3 Transcription Factor

Objective To investigate the change in body weight over time in rectal cancer patients receiving radiotherapy and the correlation between setup errors and weight loss,and to establish the image-guided radiotherapy regimens in different periods of treatment.Methods A total of 24 postoperative patients with rectal cancer admitted to our hospital in 2016 were selected.Before each fraction of radiotherapy,the body weight was recorded,and the patients underwent cone-beam computed tomography (CBCT) with different frequencies in every week.The planning CT was matched with CBCT to obtain setup errors.The paired t test was used for difference analysis;the Pearson method was used to analyze the correlation between setup errors and weight loss.Results Body weight was measured 456 times in the 24 patients,and these patients underwent CBCT scans and image registration 456 times.Two patients were excluded because of treatment discontinuance.In the first and second weeks,there was no significant change in body weight.In the third week,the mean weight loss was 1.53 kg.In the fourth week,the mean weight loss was 2.48 kg.In the fifth week,the mean weight loss was 3.24 kg.The setup errors obtained by CBCT image registration in the superior-inferior (SI),anterior-posterior (AP),and left-right (LR) directions were 0.19 cm,0.20 cm,and 0.18 cm,respectively,in the first week,0.18 cm,0.17 cm,and 0.15 cm,respectively,in the second week,0.20 cm,0.22 cm,and 0.21 cm,respectively,in the third week,0.19 cm,0.25 cm,0.24 cm,respectively,in the fourth week,and 0.34 cm,0.33 cm,and 0.31 cm,respectively,in the fifth week.The Pearson correlation analysis showed that weight loss increased the setup errors,with P values of 0.140,0.046,and 0.044 in the SI,AP,and LR directions,respectively.Conclusions For rectal cancer patients receiving radiotherapy,the body weight decreases significantly in the late period (especially in the fifth week),which influences the setup errors.Therefore,in the fourth and fifth weeks of radiotherapy for rectal cancer,the weight loss should be closely monitored,and the number of CBCT scans can be increased before the treatment fraction to ensure the accuracy and optimization of treatment.

Objective To investigate the changes and clinical significance of the coagulation function after mitral valve replace‐ment (MVR) .Methods 163 cases of MVR admitted in our hospital from January 2012 to January 2014 were included in the obser‐vation group and contemporaneous 163 individuals of healthy physical examination were selected as the control group .The pro‐thrombin time (PT) ,activated partial thromboplastin time (APTT ) ,fibrinogen concentration (FIB) ,thrombin time (TT ) and pro‐thrombin time international normalized ratio (INR) in the two groups were detected and the detected results were performed the statistically comparative analysis .Results PT ,APTT and INR in the majority of the observation group were significantly higher than those in the control group ,the differences had statistical significance (P < 0 .05) .Conclusion The regular determination of blood coagulation function after MVR can effectively reflect the disorder status of anticoagulant and coagulation mechanism ,and can improve the efficiency of diagnosis and treatment and clinical predictive value .

Background and objectiveLung cancer is the leading cause of cancer-related deaths worldwide, and metastasis is the major cause of death in lung cancer patients. MiR-373 is closely associated with invasion and metastasis in other tumor cells. hTis study explored the expression of miR-373-3p in non-small cell lung cancer (NSCLC) and its effect on the invasive and metastatic capabilities of lung adenocarcinoma cells, as well as their mechanisms of action.MethodshTe expression of miR-373-3p in NSCLC tissues and lung adenocarcinoma cell lines was detected by quantitative reverse transcrip-tion polymerase chain reaction. hTe roles of miR-373-3p in regulating lung adenocarcinoma cell invasion and metastatic prop-erties were analyzed with miR-373-3p mimic/inhibitor-transfected cells via Transwell chamber assay. Matrix metalloproteinase MMP-9 and MMP-14 protein levels were detected by Western blot in lung cancer cells atfer transfection.Results MiR-373-3p was upregulated in 51 NSCLC tissues and 5 NSCLC cell lines. Gain-of-function and loss-of-function studies showed that overexpression of miR-373-3p promoted H1299 cell migration and invasion, which resulted in upregulation of MMP-9 and MMP-14. By contrast, miR-373-3p knockdown inhibited these processes in A549 cells and downregulated the expression of MMP-9 and MMP-14.ConclusionOur results demonstrated that miR-373-3p participated in the invasion and metastasis of lung adenocarcinoma cells, partly by upregulation of MMP-9 and MMP-14.

Objective To investigate the mechanism of an inhibitor of NADPH oxidases,diphenylene iodonium (DPI),in preventing radiation-induced lung injury.Methods Totally 48 adult SD male rats were randomly classified into 4 groups:control group (C),radiation group (R),radiation plus DPI group (R + D) and DPI group (D).The radiation induced pulmonary injury model was preformed by using 6 MV X-rays to deliver 8 Gy per day for 5 consecutive days with 40 Gy in total to the thorax of each animal.Rats in R + D group were subcutaneously administered with 0.02％ DPI (1 mg/kg) at 1 h prior to radiation while rats in D group received the same dose of DPI without radiation.DPI was given from 3 d before radiation to 30 d after the first radiation.Rats in C and D groups received the same dose of saline.Animals were sacrificed at 1 month and 6 months after radiation,respectively.The lungs were removed and processed for HE and Masson staining,hydroxyproline content measurement,and TGF-β1 immunohistochemical detection.Results At 1 month post-radiation,rats in R group showed typical alveolitis,the level of hydroxyproline was (0.69 ± 0.05) μg/mg,and the positive area of TGF-β1 expression was (39.97 ± 0.90) ％,while the level of hydroxyproline in R + D group was (0.55 ± 0.03) μg/mg and the positive area of TGF-β1 expression was(33.83 ± 1.55) ％,rats in R + D group showed less severe alveolitis compared with R group(t =5.32,5.93,P ＜0.05).At 6 months post-radiation,rats in R group showed typical lung fibrosis with hydroxyproline level of (1.04 ±-0.02) μg/mg and TGF-β1 expression of (37.80 ± 0.85) ％,whereas the hydroxyproline level in R + D group was (0.85 ± 0.02) μg/ mg,the TGF-β1 expression was(23.93 ± 1.16)％,rats in R + D group showed moderate lung fibrosis(t =15.77,16.68,P ＜ 0.05),rats in C and D group had no noticeable changes.Conclusions Diphenylene iodonium could prevent radiation-induced lung injury by reducing the level of hydroxyproline and the expression of TGF-β1.