Correlation between Plasma D-dimer Count and Features of Non-small Cell Lung Cancer / 中国肺癌杂志

BACKGROUND@#More and more patients with small pulmonary nodules (SPN) can be found along with the developing of chest low-dose computed tomography (LDCT). With current examinations not all the SPN can be diagnosed to be benign or malignant and not all the malignant nodules can be diagnosed to be lymphatic metastasis. We need to study the correlation between plasma D-dimer count of patients before surgery with pathology features of non-small cell lung cancer (NSCLC).@*METHODS@#The study comprised 567 highly suspected lung cancer patients. Preoperative plasma D-dimer were qualified, and the relationship between plasma D-dimer with pathology features including benign or malignant nodules, tumor size and involvement of lymph nodes was examined using Kruskal-Wallis test and Spearman correlation coefficients.@*RESULTS@#The median plasma D-dimer values were statistically higher in NSCLC patients than in those who suffered from benign lung nodules (P112.5 ng/mL) and malignant lymph node involvement in stage T1 lung cancer.@*CONCLUSIONS@#The plasma D-dimer maybe useful for early diagnosis, staging and prognosis of the patients with NSCLC. The plasma D-dimer can be one of the indicator to identify what kind of patients need mediastinal lymph node cleaning.

Correlation of mutation, fusion, or amplification of different genes in advanced patients with lung cancer / 实用医学杂志

Objective Based on data mining technology, we discussed the correlation of different gene mutation, fusion or amplification in advanced lung cancer patients. Methods 630 cases in our hospital were collected and the drug database was established by Excel 2016. Frequency analysis and association rules were used for statistical analysis, and statistical analysis was performed on SPSS22.0 and SPSSModerler statistical software.Results There were 26 high frequency genes, such as EGFR-19 mutation, ALK fusion, RET mutation, EGFRL858 R-21 mutation, ALK mutation, and the first 6 cases of T790M mutation. The first 26 were NRAS-G12 D mutation and BRAF-G466 V mutation, MYC-R450 W mutation and CYP2D6 mutation, GATA3 M423 fs mutation and ESR1 mutation, abrupt mutation, mutation and sudden process. The variable classification values are associated with each other. The minimum value of gene association analysis was 50％ and support was 10％. After Apriori module analysis, EGFR-19 mutation and 14 genes were not found (confidence degree 46.667％) , EGFR-19 mutation and T790 M mutation (confidence degree 40％) , EGFR-19 mutation and TP53 mutation (confidence degree 13.333％) , ROS1 fusion and MET amplification (confidence 47.619％) , MET amplification and ROS1 melting (confidence level 50％) , T790 M mutation and EGFR amplification (confidence level 57.895％) , EGFR-19 mutation and EGFR amplification (confidence 42.105％). Cluster analysis BRAF-G466 V and NRAS-G12D, MYC-R450 W and CYP2 D6, GATA3 M423 fs and SRC, PIK3 CA amplification and PIK3CA, Pten and EGFEL861 Q-21, KRAS G12A and blending. Conclusion There are correlations between different genes and mutation, fusion, lack and amplification of lung cancer.

Risk Factors of Non-small Cell Lung Cancer with Bone Metastasis after Therapy / 中国肺癌杂志

BACKGROUND@#Lung cancer is the leading cause of cancer-related deaths, patients with non-small cell lung cancer (NSCLC) usually have distant metastases, such as bone metastasis, brain metastasis, and lung metastasis. The purpose of this study was to explore the risk factors for bone metastasis in NSCLC patients.@*METHODS@#A total of 176 cases of NSCLC were selected from May 2009 to May 2011, and patients were divided into two groups, namely the bone metastasis group and non-bone metastasis group. The general clinicopathological data of the two groups and analyzing the independent risk factors of bone metastasis were compared.@*RESULTS@#In the general clinicopathological data of NSCLC patients. The thrombus or not and tumor-node-metastasis (TNM) stage were closely related to the occurrence of bone metastasis, and were statistically significant (all P<0.01). Prothrombin time, activated partial thromboplastin time, Fibrinogen, thrombin time, blood platelet, D-Dimer and alkaline phosphatase have significantly difference between the two groups (all P<0.05). Logistic regression analysis showed that fibrinogen, activated partial thromboplast in time, alkaline phosphatase, T4 phase, N3 phase and d-dimer were independent risk factors for bone metastasis in NSCLC patients.@*CONCLUSIONS@#Fibrinogen, alkaline phosphatase, T3, N2 stage and D-Dimer is the independent risk factors of bone metastases in patients with NSCLC.
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Application of big medical data in cancer diagnosis and treatment / 国际肿瘤学杂志

With the extensive use of information technology and the development of big data technology, the traditional treatment methods for cancer are not meeting our needs.The application of medical large data has now changed our tumor treatment model profoundly, but also brings a deeply cognition to the nature of malignant tumor.Development of medical big data analysis and management technologies are driving malignancy treatment model fromindividual treatment era into the precision medicine era, which allows us to change the prediction, diagnosis, treatment and monitor of malignancy.There are also a variety of challenges to resolve.