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Objective To explore the clinical significance and mechanisms of chromatin licensing and DNA repli-cation factor 1(CDT1)in lung adenocarcinoma).Methods The gene expression samples of lung adenocarcinoma tissue and normal lung tissue were downloaded from the TCGA database,and perform differential analysis,GO a-nalysis,independent prognosis analysis,and correlation analysis with immunotherapy using R language.CDT1 ex-pression in lung adenocarcinoma and normal tissues was detected by PCR in clinical samples.The changes of cell proliferation and cycle in si-CDT1 knockdown group and si-NC control group were detected by flow cytometry.The invasive ability of each group was detected by Transwell.The expressions of CDT1,TPX2 and p53 in each group were detected by Western blot.Results The TCGA data analysis revealed CDT1 as a differentially expressed gene.GO analysis indicated that CDT1 was closely associated with the cell cycle.The high expression of CDT1 in lung adenocarcinoma tissues was validated in clinical samples.CDT1 could serve as an independent factor for predicting the prognosis of lung adenocarcinoma and had predictive value for immunotherapy in lung adenocarcinoma.Knock-down of CDT1 resulted in a significant decrease in cell proliferation ability compared to the control group,and cells were noticeably arrested in the G1 phase.Transwell assay results demonstrated a significant reduction in invasive capacity in the CDT1 knockdown group.Knockdown of CDT1 led to a significant decrease in TPX2 expression and a significant increase in p53 expression,while overexpression of CDT1 yielded the opposite effect.Conclusion Re-sults demonstrate the elevated expression of CDT1 in lung adenocarcinoma,its association with prognostic signifi-cance,and its impact on lung adenocarcinoma's occurrence and development by influencing TPX2 and p53.
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Objective To discuss the value of clinical radiomic nomogram(CRN)and deep convolutional neural network(DCNN)in distinguishing atypical pulmonary hamartoma(APH)from atypical lung adenocarcinoma(ALA).Methods A total of 307 patients were retrospectively recruited from two institutions.Patients in institu-tion 1 were randomly divided into the training(n=184:APH=97,ALA=87)and internal validation sets(n=79:APH=41,ALA=38)in a ratio of 7∶3,and patients in institution 2 were assigned as the external validation set(n=44:APH=23,ALA=21).A CRN model and a DCNN model were established,respectively,and the performances of two models were compared by delong test and receiver operating characteristic(ROC)curves.A human-machine competition was conducted to evaluate the value of AI in the Lung-RADS classification.Results The areas under the curve(AUCs)of DCNN model were higher than those of CRN model in the training,internal and external validation sets(0.983 vs 0.968,0.973 vs 0.953,and 0.942 vs 0.932,respectively),however,the differences were not statistically significant(p=0.23,0.31 and 0.34,respectively).With a radiologist-AI com-petition experiment,AI tended to downgrade more Lung-RADS categories in APH and affirm more Lung-RADS cat-egories in ALA than radiologists.Conclusion Both DCNN and CRN have higher value in distinguishing APH from ALA,with the former performing better.AI is superior to radiologists in evaluating the Lung-RADS classification of pulmonary nodules.
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Aim To analyze the anti-A549 and HI299 lung ade-nocarcinoma activities via using examples of baicalin, astragalo-side, hesperidin and cisplatin based on real time cellular analysis (RTCA) technology, and to build a new strategy for EC50 e-valuation reflecting the time-dimensional characteristic. Methods Using RTCA Software Pro for data analysis and GraphPad Prism and Origin Pro plotting, the in vitro anti-A549 and H1299 lung adenocarcinoma activities of baicalin, astragaloside, hesperidin, and cisplatin were characterized using the endpoint method and time dimension, respectively. Results (X) There were significant differences in EC50 values of A549 and H1299 cells at 24 h and 48 h endpoint methods. (2) The correlation coefficient of the curve fitted with the four-parameter equation was > 0. 9, and the dynamic change of EC50 remained relatively stable (the linear fitting of EC50 at adjacent 4 points I slope 1
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Objective To explore the prognostic value and immune infiltration landscape of anoikis-related long noncoding RNAs (arlncRNAs) in lung adenocarcinoma. Methods RNA-seq and clinical data of lung adenocarcinoma were downloaded from the TCGA database, and anoikis-related genes were obtained from the GeneCards and Harmonizome databases. Coexpression, differential, and WGCNA analyses were performed to screen differentially expressed arlncRNAs closely related to the occurrence of lung adenocarcinoma. A prognostic risk model was then constructed based on the arlncRNAs, and its predictive efficacy was further validated. Finally, consensus clustering was used to identify the molecular subtypes associated with anoikis in lung adenocarcinoma. Results Seven prognostic arlncRNAs were identified, and the prognostic risk models established based on them had AUC values of ROC curves greater than 0.7. Survival and immune infiltration analyses revealed that low-risk patients had high overall survival and immune infiltration, implying that they experienced good immune treatment effects. Drug sensitivity analysis showed that the high-risk patients were more sensitive to commonly used chemotherapeutic agents than the low-risk patients. According to the expression of model genes, subtypes C1 and C2 were identified through consensus clustering, and C1 showed a good prognosis. Conclusion The prognostic risk model based on the seven arlncRNAs can effectively predict the prognosis of lung adenocarcinoma patients. The results of immune-related and drug sensitivity analyses provide a reference for the precise individualized treatment of patients with lung adenocarcinoma.
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@#Objective To study the effect of ankyrin repeat domain 49(ANKRD49)on the migration of human lung adenocarcinoma cell line NCI-H1299 and its mechanism.Methods NCI-H1299 cells were infected with lentivirus vector carrying ANKRD49 gene and shRNA targeting ANKRD49 to construct the cell models stably overexpressing and knocking down ANKRD49. Meanwhile,the control cell models infected with empty lentivirus vector and lentivirus vector with scramble sequences were constructed respectively. The expression levels of ANKRD49 mRNA and protein were detected by real-time fluorescence quantitative PCR and Western blot. The effect of ANKRD49 on cell migration was measured by scratch test. The mRNA and protein levels of matrix metalloproteinase(MMP)-2/9 and tissue inhibitor of metalloproteinase(TIMP)-1/2 were detected by real-time fluorescence quantitative PCR and Western blot. The protein expression levels of p65,p-p65,IκBα and p-IκBα were detected by Western blot.Results The levels of ANKRD49 mRNA and protein in the ANKRD49 overexpression group were significantly higher than those in the control group(t = 70. 02 and 45. 68,respectively,each P < 0. 001). Compared with the control group,the migration ability of cells in the ANKRD49 overexpression group significantly increased at 24 h and 48 h(t = 5. 343 and 3. 282,P = 0. 005 9 and 0. 030 4,respectively);The mRNA transcription levels and protein expression levels of MMP-2 and MMP-9 significantly increased(t = 9. 304 and 6. 193,P =0. 000 7 and 0. 003 5,respectively),while the mRNA and protein expression of TIMP-1 and TIMP-2 decreased significantly(t = 3. 858 and 3. 517,P = 0. 018 2 and 0. 024 5,respectively),and the values of MMP-2/TIMP-1 and MMP-9/TIMP-2 significantly increased(t = 17. 7 and 9. 682,P < 0. 001 and < 0. 01,respectively);The expression of p-p65 and pIκBα significantly increased,the total protein levels of p65 and IκBα showed no obvious change,and the values of p-p65/p65 and p-IκBα/IκBα significantly increased(t = 3. 962 and 5. 370,P = 0. 016 7 and 0. 005 8,respectively). However,knocking down of ANKRD49 presented the opposite results.Conclusion ANKRD49 promotes the migration of NCI-H1299cells by enhan-cing the expression of MMP-2/9,the values of MMP-9/TIMP-1 and MMP-2/TIMP-2 via activating NF-κB/p65 signa-ling pathway.
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@#Objective To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.
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@#Objective To predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. Methods We analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. Results Finally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. Conclusion This study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.
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@#Objective To explore the correlation between the imaging features of peripheral ground-glass pulmonary nodules and the invasion degree of lung adenocarcinoma, and the high risk factors for infiltrating lung adenocarcinoma under thin-slice CT, which provides some reference for clinicians to plan the surgical methods of pulmonary nodules before operation and to better communicate with patients, and assists in building a clinical predictive model for invasive adenocarcinoma. Methods Clinical data of the patients with peripheral ground-glass pulmonary nodules (diameter≤3 cm) in thin-slice chest CT in the First Affiliated Hospital of Soochow University from January 2019 to January 2020 were continuously collected. All patients underwent thin-slice CT scan and thoracoscopic surgery in our center. According to the pathological examination results, they were divided into two groups: an adenocarcinoma lesions before infiltration group, and an invasive lung adenocarcinoma group. The thin-slice CT imaging parameters of pulmonary nodules were collected. The nodular diameter, mean CT value, consolidation tumor ratio (CTR), nodular shape, vacuolar sign, bronchial air sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign and other clinical data were collected. Univariate and multivariate analyses were conducted to analyze the independent risk factors for the infiltrating lung adenocarcinoma, and to analyze the threshold value and efficacy of each factor for the identification of infiltrating lung adenocarcinoma. Results Finally 190 patients were enrolled. There were 110 patients in the adenocarcinoma lesions before infiltration group, including 21 males and 89 females with a mean age of 53.57±10.90 years, and 80 patients in the invasive lung adenocarcinoma group, including 31 males and 49 females with a mean age of 56.45±11.30 years. There was a statistical difference in the mean CT value, nodular diameter, CTR, gender, smoking, nodular type, nodular shape, vacuolar sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign between the two groups (P<0.05). However, there was no statistical difference between the two groups in age (P=0.081), lesion site (P=0.675), and bronchial air sign (P=0.051). Multiple logistic regression analysis showed that nodular diameter, mean CT value, CTR and lobulation sign were independent risk factors for differentiating preinvasive adenocarcinoma from invasive adenocarcinoma. At the same time, the threshold value was calculated by Youden index, indicating that the CTR was 0.45, the nodal diameter was 10.5 mm and the mean CT value was –452 Hu. Conclusion In the peripheral ground-glass pulmonary nodules, according to the patient's CT imaging features, such as mixed ground-glass nodules, irregular shapes, vacuoles, short burrs, clear boundaries, pleural indentations, and vascular clusters, have a certain reference value in the discrimination of the invasion degree of ground-glass pulmonary nodules. At the same time, it is found in this research that peripheral ground-glass pulmonary nodules with diameter greater than 10.5 mm, CT value greater than –452 Hu, CTR greater than 0.45 and lobulation sign are more likely to be infiltrating lung adenocarcinoma.
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@#Lung adenocarcinoma is a prevalent histological subtype of non-small cell lung cancer with different morphologic and molecular features that are critical for prognosis and treatment planning. In recent years, with the development of artificial intelligence technology, its application in the study of pathological subtypes and gene expression of lung adenocarcinoma has gained widespread attention. This paper reviews the research progress of machine learning and deep learning in pathological subtypes classification and gene expression analysis of lung adenocarcinoma, and some problems and challenges at the present stage are summarized and the future directions of artificial intelligence in lung adenocarcinoma research are foreseen.
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@#Objective To investigate the role of ubiquitin binding enzyme EZT(UBE2T)in lung adenocarcinoma by integrating single-cell sequencing data with the TCGA database,in order to provide insights into the specific molecular mechanisms of UBE2T in lung adenocarcinoma.Methods Single-cell sequencing data was downloaded from the GEO database(GSE117570),and R language was used for quality control and analysis of the data.Additionally,online tools were employed to analyze lung adenocarcinoma-related data from the TCGA database.The potential target genes associated with UBE2T were identified by integrating TCGA and single-cell sequencing data.Results Differential analysis using the TCGA database successfully demonstrated that UBE2T could serve as an independent prognostic factor in lung adenocarcinoma,and it was correlated with poor patient outcomes.Integration of single-cell sequencing data revealed that UBE2T-associated genes were mainly distributed in mononuclear cells and T cells.Furthermore,analysis using the CancerSEA database suggested a close association between UBE2T and cell cycle regulation.Conclusion UBE2T may play a role in promoting the occurrence and development of lung adenocarcinoma through the regulation of the cell cycle.
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ObjectiveTo explore the intervention effect and molecular mechanism of Dabufei decoction in Dunhuang formula combined with cisplatin on Lewis lung adenocarcinoma-bearing mice. MethodFifty C57BL/6J mice were used， with 10 randomly assigned to the blank group （without modeling）， and 40 subcutaneously inoculated with Lewis cells to establish a Lewis lung adenocarcinoma-bearing mouse model. These 40 mice were randomly divided into the following four groups （with 10 mice in each group）： Model group （equal volume of physiological saline）， cisplatin group （5 mg·kg-1）， Dabufei decoction group （14.35 g·kg-1·d-1）， and Dabufei decoction combined with cisplatin group （Dabufei decoction 14.35 g·kg-1·d-1 + cisplatin 5 mg·kg-1）. Each group was treated continuously for 14 days. The general condition of the mice was observed， body weight changes were recorded， and the tumor inhibition rate， spleen index， and thymus index were calculated. Peripheral blood white blood cell （WBC）， platelet （PLT）， and hemoglobin （HGB） were detected by routine blood tests. Flow cytometry was used to detect the expression of CD4+CD25+FoxP3+ regulatory T cells （Treg） and natural killer （NK） cells in the spleen. Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were used to determine the expression of proteins and mRNA related to the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway in tumor tissues. ResultCompared with the blank group， the model group showed decreased body weight （P<0.05）， spleen index， and thymus index （P<0.05）， decreased percentage of NK cells in the spleen （P<0.05）， increased percentage of Treg cells （P<0.05）， and decreased counts of WBC， PLT， and HGB （P<0.05）. Compared with the model group， the Dabufei decoction group exhibited significant tumor growth inhibition， increased body weight， and reduced tumor weight （P<0.05）， increased percentage of NK cells （P<0.05）， decreased proportion of Treg cells （P<0.05）， and increased counts of WBC， PLT， and HGB （P<0.05）. In the cisplatin group， tumor growth was significantly inhibited， body weight significantly decreased （P<0.05）， and tumor weight significantly reduced （P<0.05）. The spleen index and thymus index decreased （P<0.05）， and the percentage of Treg cells significantly decreased （P<0.05）. The counts of WBC， PLT， and HGB significantly decreased （P<0.05）. In the Dabufei decoction combined with cisplatin group， tumor growth was significantly inhibited， and tumor weight significantly reduced （P<0.05）. The levels of phosphorylated PI3K， Akt， and mTOR proteins and mRNA in tumor tissues were significantly reduced in all medication groups （P<0.05）. Compared with the cisplatin group， the Dabufei decoction combined with cisplatin group showed significantly inhibited tumor growth， reduced tumor weight （P<0.05）， increased body weight （P<0.05）， increased spleen index and thymus index （P<0.05）， increased percentage of NK cells （P<0.05）， decreased percentage of Treg cells （P<0.05）， significantly increased counts of WBC， PLT， and HGB （P<0.05）， and reduced levels of phosphorylated PI3K， Akt， and mTOR and their mRNA （P<0.05）. ConclusionDabufei decoction combined with cisplatin has a synergistic effect with reduced toxicity， effectively regulating immune function， increasing the proportion of NK cells， reducing the proportion of Treg cells， improving bone marrow suppression， and downregulating the PI3K/Akt/mTOR signaling pathway to inhibit tumor growth in Lewis lung adenocarcinoma-bearing mice.
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@#Objective: To determine the inhibitory effects of pachymic acid on lung adenocarcinoma (LUAD) cells and elucidate its underlying mechanism. Methods: CCK-8, wound healing, Transwell, Western blot, tube formation, and immunofluorescence assays were carried out to measure the effects of various concentrations of pachymic acid on LUAD cell proliferation, metastasis, angiogenesis as well as autophagy. Subsequently, molecular docking technology was used to detect the potential targeted binding association between pachymic acid and protein tyrosine phosphatase 1B (PTP1B). Moreover, PTP1B was overexpressed in A549 cells to detect the specific mechanisms of pachymic acid. Results: Pachymic acid suppressed LUAD cell viability, metastasis as well as angiogenesis while inducing cell autophagy. It also targeted PTP1B and lowered PTP1B expression. However, PTP1B overexpression reversed the effects of pachymic acid on metastasis, angiogenesis, and autophagy as well as the expression of Wnt3a and β-catenin in LUAD cells. Conclusions: Pachymic acid inhibits metastasis and angiogenesis, and promotes autophagy in LUAD cells by modulating the Wnt/ β-catenin signaling pathway via targeting PTP1B.
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Objective @#To investigate the effects of immunoglobulin gene superfamily 10 (IGSF10) on prolifera- tion，migration and invasion of lung adenocarcinoma cells．@*Methods @#ioinformatics was applied to study the ex- pression levels of IGSF10 in tumor tissues and normal tissues． Western blot and quantitative real-time PCR ( qPCR) were used to detect the expression level of IGSF10 in lung adenocarcinoma cell lines and normal lung epi- thelial cells．Knockdown of IGSF10，the effect of knockdown of IGSF10 on proliferation，migration and invasion of lung adenocarcinoma A549 cells was examined using cell counting kit-8 ( CCK-8) ，Transwell migration and inva- sion assay，scratch assay and plate cloning assay．The effects of knockdown of IGSF10 on the expression of invasion and migration-related genes in A549 cells were examined by Western blot and qPCR assays. @*Results @#IGSF10 ex- pression in lung adenocarcinoma tissues was lower than that in normal tissues (P ＜0. 05) ．IGSF10 expression in lung adenocarcinoma cell lines was lower than that in lung epithelial cells (P＜0. 05) ．Knockdown of IGSF10 pro- moted the ability of lung adenocarcinoma A549 cells to proliferate ，proliferation ，migration and invasion ( P < 0. 05) ．Knockdown of IGSF10 promoted the expression of regulatory epithelial-mesenchymal transition marker Neu- ral-cadherin (N-cadherin) and key transcription factors Snail family transcriptional repressor 1 (Snail) and Snail family transcriptional repressor 2 (Slug) (P＜0. 05) and inhibited the expression of Epithelial-cadherin (E-cad- herin) (P＜0. 05) ．@*Conclusion @# Knockdown of IGSF10 may promote proliferation，migration and invasion of lung adenocarcinoma cells through activation of Snail，Slug / E-cadherin signaling axis，and this result may provide a po- tential new target for clinical diagnosis and treatment of lung adenocarcinoma.
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Objective To investigate the effects of long non-coding RNA FEZ family zinc finger 1 antisense RNA 1(lncRNA FEZF1-AS1)on enhancer of zeste homolog 2(EZH2)in regulation of proliferation,migration,invasion and epithelial-mesenchymal transition(EMT)of pulmonary interstitial cells and its mechanism.Methods The A549 cells human lung adenocarcinoma cell line were divided into control group and model group[model cells were induced into lung interstitial cells after being treated with transforming growth factor β1(TGF-β1)20 ng/mL for 48 h].The protein expression of E-cadherin,N-cadherin and vimentin in each group was detected by Western blot.The expression of lncRNA FEZF1-AS1 and EZH2 in the two groups was detected by RT-qPCR.Cells in the trans-fection group were divided into si NC group,lncRNA FEZF1-AS1+OE vector group and si lncRNA FEZF1-AS1+OE EZH2 group.Cell proliferation was examined by CCK-8 method,cell migration was detected by cell scratch,and cell invasion was detected by Transwell assays.The protein expression of E-cadherin,N-cadherin,vimentin and EZH2 in each group was detected by Western blot.The direct binding effect of FEZF1-AS1 and EZH2 was deter-mined by RNA immuno-precipitation(RIP).Results Compared with the control group,the protein expression level of E-cadherin in the model group was significantly decreased(P＜0.05),and the protein expression of N-cadherin and vimentin was significantly increased(P＜0.05).Compared with the control group,the expression level of lncRNA FEZF1-AS1 and EZH2 genes was significantly increased in the model group(P＜0.05).Compared with si NC group,the proliferation,migration and invasion ability of si lncRNA FEZF1-AS1+OE vector group were decreased,the ex-pression of E-cadherin protein was increased while the expression of N-cadherin,vimentin and EZH2 was decreased(P＜0.05).Compared with si lncRNA FEZF1-AS1+OE vector group,the proliferation,invasion and migration of si lncRNA FEZF1-AS1+OE EZH2 group were increased(P＜0.05).E-cadherin expression was decreased,while N-cad-herin,vimentin and EZH2 expressions were increased(P＜0.05).RIP experiment further confirmed that lncRNA FEZF1-AS1 had direct binding effect with EZH2.Conclusions LncRNA FEZF1-AS1 can promote the proliferation,invasion,metastasis and EMT process of pulmonary fibrosis cells by regulating EZH2.
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Objective·To establish a multifactorial discriminative model for predicting the degree of infiltration in patients with non-small cell lung adenocarcinoma based on clinically accessible laboratory indicators,such as tumor markers,coagulation function indicators,routine blood count indicators,and biochemical indicators.Methods·A retrospective study was conducted on 202 patients with lung adenocarcinoma admitted to Shanghai Chest Hospital in 2022.Multifactorial Logistic regression analysis was applied to screen independent factors that influenced the predictive infiltration degree of lung adenocarcinoma and to establish a regression model.In addition,machine learning was used to construct a discriminative model,and the area under the receiver operating characteristic curve(AUC)was used to evaluate the discriminative ability of the model to discriminate the degree of infiltration in lung adenocarcinoma patients.Results·A total of 202 patients with lung adenocarcinoma were included in the study,and divided into pre-invasive lesion group(n=59)and invasive lesion group(n=143).Multifactorial Logistic regression analysis revealed that urea,percentage of basophilic granulocytes,and albumin were independent factors for predicting the degree of infiltration of lung adenocarcinoma(all P<0.05).The predictive model expression was P = eX/(1 + eX),where X =(0.534×urea)+(1.527×percentage of basophilic granulocytes)-(1.916×albumin)+ 6.373.Machine learning results showed that the model performed best when urea,fibrinogen,albumin,percentage of basophilic granulocytes,prealbumin and carcino embryonic antigen(CEA)were included.After comparing the performance of 8 machine learning algorithms(based on ridge regression,least absolute shrinkage and selection operator,neural network,random forest,k-nearest neighbors,support vector machine,decision tree,and adaptive boosting algorithms)using the DeLong test,the ridge regression algorithm with the highest AUC was selected.The AUC of the predictive model was calculated to be 0.744(95%CI 0.656-0.832),with a sensitivity of 70.8%and a specificity of 70.2%.Conclusion·A comprehensive differentiation model constructed by urea,fibrinogen,albumin,percentage of basophilic granulocytes,prealbumin and CEA can effectively predict the infiltration degree of the enrolled lung adenocarcinoma patients,holding the potential to provide more precise guidance for the clinical grading and adjunctive treatment of lung adenocarcinoma.
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There was a 61-year-old male patient with cutaneous metastatic lung adenocarcinoma inoculated along a thoracic drainage tube treated in Zhongshan Hospital,Fudan University.The duration of disease was over 2 weeks.The skin lesions were extensive and appeared as purplish red nodules ranging in size from mung bean to small walnut.The nodules were tough and solid,smooth in surface,with infiltration while without ulceration,pruritus or tenderness.The patient developed chest tightness and pain without obvious causes,dull pain in nature and less white sputum 6 weeks before the eruption,and then was diagnosed as malignant tumors of the left lung(poorly differentiated adenocarcinoma),cT1cN3M1c stage Ⅳ B(pleura,bone).Gene tests showed that epidermal growth factor receptor(EGFR)21 exon point mutation L858r,Ros1(-),anaplastic lymphoma kinase(ALK)(-),and physical status score(PS)of 0.The treatment was Dactinib 45mg once each day,supplemented the bone preservation therapy by ibandronic acid.As the patient's condition did not significantly improve and skin nodules increased,also the abdominal B-ultrasound examination showed that multiple metastases in liver,the treatment was changed to Ectinib hydrochloride tablets(Kemena)of 125 mg 3 times a day,combined with Crizotinib capsules(Secor)of 200 mg twice a day.Unfortunately,the patient has now been lost to follow-up.
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Objective To analyze the clinical characteristics of lung adenocarcinoma patients with positive EGFR mutations detected in pleural effusion.Methods We retrospectively analyzed the clinical characteristics including gender,age,smoking history,presence of other underlying diseases(such as COPD,cardiovascular disease,and diabetes),site of pleural fluid,feature of pleural fluid,and TNM stage in patients with lung adenocar-cinoma who had been admitted to the first Affiliated Hospital of Bengbu Medical College from 2020.01 to 2022.12 for the first time by the detection of EGFR mutation positive in pleural effusion.The data were statistically analyzed using the SPSS 26.0 software.Results A total of 126 patients were screened for enrollment,including 61 patients(48.41%)with EGFR exon 19 deletion mutation(19del),56 patients(44.44%)with exon 21 L858R mutation(21L858R),and 9 patients(7.14%)with non-classical mutations.Univariate analysis showed that the three muta-tion subtypes were statistically significant in terms of gender,age,smoking history,and presence of COPD(P<0.05 for all comparisons),but not in terms of pleural fluid site,feature of pleural fluid,tumor size,and presence of cardiovascular disease,diabetes mellitus,presence of distant metastases,and mediastinal lymph node metastases(P>0.05 for all comparisons);Multivariate analysis showed that 21 L858R mutation was more likely to be found in male,older age,non-smoking,and presence of COPD than 19del mutation;non-classical mutation was more likely to be found in male than 19del mutation.Conclusions There are significant differences among the three mutation subtypes in sex,age,smoking history,and presence of COPD,but not in pleural fluid location,feature of pleural fluid,tumor size,presence of cardiovascular disease or diabetes mellitus,presence of distant metastases,or medias-tinal lymph node metastases;Among lung adenocarcinoma patients with positive EGFR mutations in pleural fluid,21 L858R mutation mostly occurs in male,older age,non-smokers,and those complicated with COPD,while non-classical mutation mainly develops in male.However,more case studies are needed to confirm the above conclusions.
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【Objective】 To explore the diagnostic value of platelet long non-coding RNA (lncRNA) as a biomarker for early screening of lung adenocarcinoma (LUAD). 【Methods】 The GSE183635 and GSE89843 datasets, which contained the platelet transcriptome of LUAD and healthy controls, were used for differential analysis, and the intersection of the differentially expressed lncRNA(DElncRNA) of the two datasets was taken. The expression levels of DElncRNA in LUAD tissues and normal control tissues were analyzed using GEPIA2. The expression levels of LINC01088 in platelets of 51 healthy controls and 54 LUAD patients were detected by quantitative Real-time PCR (qRT-PCR), and the diagnostic ability of each index was evaluated by ROC curve. 【Results】 8 DElncRNAs and 1 265 DElncRNAs were obtained from GSE183635 and GSE89843 datasets, respectively. The key DElncRNA LINC01088 was selected after intersection. GEPIA2 analysis showed that the expression level of LINC01088 in LUAD tissues was lower than that in normal lung tissues (P<0.05). Platelet LINC01088 was significantly downregulated in patients with LUAD and early-stage LUAD than in healthy controls(P<0.001). The area under the curve (AUC) of platelet LINC01088 in the diagnosis of LUAD was 0.755, the sensitivity was 81.1%, and the specificity was 67.9%. The AUC for early LUAD diagnosis was 0.727, the sensitivity was 80.0%, and the specificity was 67.9%. The AUC of the combined diagnostic model composed of platelet LINC01088 and carcinoembryonic antigen (CEA) for LUAD diagnosis was 0.807, the sensitivity was 89.2%, and the specificity was 71.4%. The AUC for early LUAD was 0.770, the sensitivity was 86.7%, and the specificity was 71.4%. The combined diagnostic model of platelet LINC01088 and CEA was superior to CEA in the diagnosis of LUAD and early LUAD (Z=-2.288, -2.34, both P<0.05). 【Conclusion】 LINC01088 is down-regulated in platelets of LUAD patients. Platelet LINC01088 may be a biomarker for early screening and diagnosis of LUAD.
ABSTRACT
Objective To investigate the effect of transcription factor atonal homolog 8(ATOH8)and miR-125a on lung cancer progres-sion and its potential upstream regulatory mechanism.Methods ATOH8 expression levels in lung adenocarcinoma and their correlation with survival rate were analyzed using the online database UALCAN.miR-125a expression levels in lung adenocarcinoma and their rela-tionship with lung cancer progression were also analyzed using the UALCAN database.Total RNA extracted from lung adenocarcinoma tumors and adjacent normal tissues was used to perform real-time PCR in order to analyze these expression levels.The effect of ATOH8 overexpression on lung adenocarcinoma cell survival was detected using CCK-8 assays.A miR-125a mimic and inhibitor were transfected into lung adenocarcinoma cells,and ATOH8 expression levels were detected by real-time PCR and Western blotting.Results Statistical analysis showed that ATOH8 was significantly down-regulated in lung adenocarcinoma tissues(P＜0.01)and ATOH8 overexpression significantly reduced the survival of lung adenocarcinoma cells(P＜0.05).Furthermore,the five-year survival rate of patients with high ATOH8 expression levels was significantly increased(P＜0.05).miR-125a can bind to the 3'untranslated regions(3'UTR)of ATOH8 and significantly inhibit its expression levels(P＜0.05).However,miR-125a was significantly up-regulated in lung adenocarcinoma patients with a history of smoking,middle and advanced stage,and lymphatic metastasis(P＜0.05).Conclusion ATOH8,as a poten-tial tumor suppressor gene,can inhibit lung adenocarcinoma cell survival and affect the five-year survival rate of patients.miR-125a expression levels were closely related to smoking history,tumor stage,and lymphatic metastasis.Overall,the inhibiting effect of miR-125a against ATOH8 is a potential reason for abnormal ATOH8 expression in lung adenocarcinoma.
ABSTRACT
Pulmonary nodular lesions include benign and malignant pulmonary nodules. Lung adenocarcinoma is the most common type of malignant pulmonary nodules. Lung adenocarcinoma includes precursor gland lesions minimally invasive adenocarcinoma, invasive mucinous adenocarcinoma and invasive non mucinous adenocarcinoma. The surgical methods and prognosis vary depending on the pathological subtypes. At present, it is proposed that the proportion of micropapillary, solid components in tumor alveolar dissemination and subtypes directly affect surgical methods and prognosis. Therefore, this article proposes that wedge lung resection can be performed for precursor glandular lesions. Subpulmonary lobectomy can be performed for minimally invasive adenocarcinoma. Invasive adenocarcinoma requires lobectomy and lymph node dissection. Even if patients with stage Ia lung adenocarcinoma who contain solid components in tumor alveolar dissemination , micropapillary, and pleural invasion components are recommended for postoperative adjuvant treatment.