Investigation and Analysis of Lung Cancer Risk Factors in the Health Check-Up Population

Objective: To investigate and analyze the risk factors of lung cancer in the population of health checkups. Methods: A total of 500 cases of the health check-up population were selected for data study. Surveyed showed that 19 cases of lung cancer were grouped as the lung cancer group and the remaining 481 cases made up the control group, and the risk factors were analyzed. Results: Among men, there was a significant proportion of individuals aged 60-69 years old, and women aged 30-39 years old. Additionally, individuals aged 60 and above were at increased risk of developing lung cancer. The results of the multifactorial analysis were that the risk factors affecting the detection of lung cancer in healthy people were smoking history, family history of lung cancer, secondhand smoke, history of respiratory diseases, psychosomatic factors, living environment, and kitchen fumes. Conclusion: People over 60 years of age were prone to early lung cancer, followed by individuals aged 30-39 years. It is important to identify the risk factors of lung cancer to strengthen the screening of high-risk groups for early detection and treatment.

Meta analysis of XRCC3 Thr241Met polymorphism and lung cancer susceptibility of populations in East Asia

Objective:To assess the relation between XRCC3 Thr241Met polymorphism and lung cancer susceptibility of populations in East Asia.Methods:Related studies of XRCC3 Thr24lMet polymorphism and lung cancer susceptibility of populations in East Asia were collected through searching the Pubmed,Embase Library,SPRINGER.CNKI and CSSCI.Results:According to the entry criteria,there were 8 case-control studies in the assessing system and there were 6 321study cases,including 3 215 patients with lung cancer and 3 106 cases without cancers.Meta analysis results showed the combined OR value of the ratio of genotype Thr/Met+Met/Met and Thr/Thr was 1.03(95%CI:0.89-1.20)(P>0.05).Conclusions:XRCC3 Thr241Met polymorphism may not related to lung cancer susceptibility of populations in East Asia.Allele 241Met did not increase the risk of lung cancer.

Association between the DNA Repair Gene Polymorphisms and Lung Cancer in Turkish Population

Introduction: DNA repair enzymes continuously monitor DNA to correct damaged nucleotide residues generated by exposure to environmental mutagenic and cytotoxic compounds or carcinogens. Our objective was to investigate the association among XRCC1 (Arg399Gln and Arg194Trp), XRCC3 (Thr241Met), XPD-ERCC2 (Lys751Gln), APE1 (Asp241Glu), PARP-ADPRT (Val762Ala) DNA repair gene polymorphisms and lung cancer in Turkish population. Materials and Methods: Our patient group consists of 90 patients with lung cancer and the control group had 100 healthy individuals all of those smoking. DNA was extracted using the whole blood samples. PCR- RFLP technique was used to investigate the polymorphisms on target genes. Results: There was no significant difference in the genotype distributions of XPD Lys751Gln, XRCC1 Arg194Trp, XRCC3 Thr241Met, APE1 Asp241Glu between lung cancer patients and controls for each polymorphism (p > 0.05). However, there was a significant difference between the genotype distributions of XRCC1 Arg399Gln, and PARP Val762Ala in patients and the control group (p > 0.05). Discussion: Only the polymorphisms of XRCC1 codon 399 and PARP Val762Ala alleles are associated with the risk of lung cancer. Other genotypes were not related to lung cancer.

Population attributable risks of cigarette smoking for deaths of all causes, all cancers and other chronic diseases among adults aged 40-74 years in urban Shanghai, China

Objective： To evaluate the population attributable risks （PARs） between cigarette smoking and deaths of all causes, all cancers, lung cancer and other chronic diseases in urban Shanghai. Methods： In total, 61,480 men aged 40-74 years from 2002 to 2006 and 74,941 women aged 40-70 years from 1997 to 2000 were recruited to undergo baseline surveys in urban Shanghai, with response rates of 74.0% and 92.3%, respectively. A Cox proportional hazards regression model was used to estimate relative risks （RRs） and 95% confidence intervals （95% CIs） of deaths associated with cigarette smoking. PARs and 95 % CIs for deaths were estimated from smoking exposure rates and the estimated RRs. Results： Cigarette smoking was responsible for 23.9% （95% CI： 19.4-28.3%） and 2.4% （95% Ch 1.6- 3.2%） of all deaths in men and women, respectively, in our study population. Respiratory disease had the highest PAR in men [37.5% （95% CI： 21.5-51.6%）], followed by cancer [31.3% （95% Ch 24.6-37.7%）] and cardiovascular disease （CVD） [24.1% （95% CI： 16.7-31.2%）]. While the top three PARs were 12.7% （95% CI： 6.1-19.3%）, 4.0% （95% CI： 2.4-5.6%）, and 1.1% （95% CI： 0.0-2.3%）, for respiratory disease, CVD, and cancer, respectively in women. For deaths of lung cancer, the PAR of smoking was 68.4% （95% CI： 58.2- 76.5%） in men. Conclusions： In urban Shanghai, 23.9% and 2.4% of all deaths in men and women could have been prevented if no people had smoked in the area. Effective control programs against cigarette smoking should be strongly advocated to reduce the increasing smoking-related death burden.

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.

Lung Cancer Risk Attributable to Active Smoking in China:A Systematic Review and Meta-Analysis

Objective No consensus exists on the relative risk(RR)of lung cancer(LC)attributable to active smoking in China.This study aimed to evaluate the unified RR of LC attributable to active smoking among the Chinese population.Methods A systematic literature search of seven databases was conducted to identify studies reporting active smoking among smokers versus nonsmokers in China.Primary articles on LC providing risk estimates with their 95%confidence intervals(CIs)for“ever”“former”or“current”smokers from China were selected.Meta-analysis was used to estimate the pooled RR of active smoking.Results Forty-four unique studies were included.Compared with that of nonsmokers,the pooled RR(95%CI)for“ever”“former”and“current”smokers were 3.26(2.79–3.82),2.95(1.71–5.08),and 5.16(2.58–10.34)among men,3.18(2.78–3.63),2.70(2.08–3.51),and 4.27(3.61–5.06)among women,and2.71(2.12–3.46),2.66(2.45–2.88),and 4.21(3.25–5.45)in both sexes combined,respectively.Conclusion The RR of LC has remained relatively stable(range,2–6)over the past four decades in China.Early quitting of smoking could reduce the RR to some extent;however,completely refraining from smoking is the best way to avoid its adverse effects.

Plasma Vitamin D Levels And Vitamin D Receptor Polymorphisms Are Associated with Survival of Non-small Cell Lung Cancer

Objective：Vitamin D and its receptor（VDR） involve in multiple cellular processes and play an important role in the initiation and progression of malignancy.Thus we hypothesized that plasma vitamin D levels and single nucleotide polymorphisms（SNPs） in VDR may be of prognostic significance in non-small cell lung cancer（NSCLC）.Methods：We examined plasma 25-hydroxyvitamin D [25（OH）D] levels in 87 patients diagnosed with NSCLC using enzyme-linked immunosorbent assay（ELISA） and genotyped seven potentially functional SNPs in VDR in 568 NSCLC patients on Illumina Golden Gate platform.Results：Patients with higher plasma 25（OH）D levels had worse survival than patients with lower ones（P for trend = 0.048）.The SNPs of rs1544410 and rs739837 were independently associated with NSCLC survival（adjusted HR = 1.61,95% CIs = 1.06-2.45 for rs739837 AA vs AC/CC and adjusted HR = 1.51,95% CIs = 1.06-2.16 for rs1544410 AG/AA vs GG）.A joint effect was observed between rs1544410 and rs739837 and the risk of death elevated as the number of unfavourable genotypes patients carried increased（P for trend = 0.003）.There were no significant associations between VDR polymorphisms and plasma 25（OH）D levels.Conclusion：Our findings indicate that plasma 25（OH）D levels and genetic variants of VDR may serve as prognostic markers for NSCLC in this Chinese population.

郑州市肺癌早期筛查患病风险横断面研究

目的分析参加肺癌早期筛查者风险及相关影响因素,并根据生存情况研究预后因素,以期最终为肺癌防治提供基线数据。方法采取整群抽样的方法,选取2020年郑州市10区6县40~75岁郑州市户籍居民为筛查对象,通过自愿参加并填写评估问卷,评估出肺癌高危人群,再对高危人群行复筛三项(肿瘤标志物、低剂量螺旋CT及肺功能)检查。最后采取主动加被动随访方式收集确诊肺癌患者信息。对筛查的数据进行统计描述,表述不同特征人群流行病学结果;采用多因素logistic回归方法进行统计分析,比较不同因素各项结果差异。结果2020年郑州市肺癌早期筛查完成评估50128例,完成率100.26%,调查平均年龄(59.86±17.67)岁,男女比例为0.81∶1。其中高危检出率为30.15%。多因素logistic回归分析显示:男性(吸烟)(OR=5.43,95%CI:5.20~5.67)、有烟草接触史(OR=3.82,95%CI:3.67~3.98)、一级亲属曾患肺癌(OR=12.06,95%CI:11.02~13.20)等人群更易患肺癌(均P<0.05)。结论男性(吸烟)、接触二手烟、一级亲属患癌、曾经确诊其他肿瘤、肺部感染症状、“日常生活中出现胸闷,气促,呼吸困难”、“近3年内曾经受较大的精神创伤”因素是肺癌高危的独立危险因素,应重点关注并加以有效干预措施。

高危人群低剂量CT与肿瘤标志物联合检查早期肺癌的效能研究

目的探讨低剂量螺旋CT(low dose spiral computed tomography,LDCT)扫描联合细胞角质蛋白片段21-1(CYFRA21-1)、鳞状上皮细胞癌抗原(SCC)、神经特异性烯醇化酶(NSE)、胃泌素释放肽前体(GRP)、癌胚抗原(CEA)、糖类抗原125(CA125)等6种肺癌肿瘤标志物(tumor Markers,TM)检测对高危人群早期肺癌筛查的效能。方法统计分析2015年-2019年间在本院进行LDCT检查且有病理结果的受试者以及CT结果阴性受试者相关数据,对比分析CT、血清TM的水平以及CT征象及血清TM联合检测对肺癌的诊断价值。结果CT检出肺癌的敏感性为81.48%,特异度为50.00%;TM检出肺癌的敏感性为66.67%,特异度为66.67%;CT联合TM对肺癌的灵敏度为62.96%,漏诊率37.04%,特异度为100.00%。肺癌组患者TM明显高于LDCT结果阴性受试者组,而CT结果阴性受试者的TM检测结果均为阴性,两组差异有统计学意义(P<0.05),结论LDCT敏感性较高,特异度低,肿瘤标志物特异度高,LDCT与TM检测较高合理组合应用,可以优势互补,减少LDCT的假阳性率,对早期肺癌的筛查具有较大价值,可作为辅助筛查手段。而对CT结果阴性者不建议常规做TM检测。

基于PAF和ICLR模型的大气多环芳烃人体暴露肺癌风险评价:以合肥市为例

城市有机污染物排放引起的致癌风险是当前人群健康研究关注热点.本研究以安徽省会合肥市为案例,以多环芳烃(PAHs)为研究对象,结合实地采样分析以及超额终生致癌风险模型(ILCR)和人群归因模型(PAF)对城市不同区域、季节、人群的致癌风险进行评估,并采用蒙特卡洛模型解析不同模型的致癌风险评估差异.研究表明,合肥市大气PAHs暴露所引起的额外肺癌每百万人为9.47,ILCR与PAF模型模拟结果具有较好的一致性,而PAF模型的参数敏感性较高.合肥城市PAHs的致癌风险的空间分布、季节变化以及人群分布都存在显著的空间异质性:城市中心道路交通高排放区和郊区农业活动强度大区域的致癌风险较高;秋冬PAHs的浓度水平较高导致较高致癌风险;室外活动频繁的成年人致癌风险高,儿童的风险易感性高.因此,城市人群健康风险综合管控需要系统考虑不同污染排放源的分布差异.

基于随机森林算法的肺癌影响因素分析及预测模型构建

目的 基于随机森林算法分析肺癌的影响因素并构建预测模型,为肺癌高危人群的筛查提供临床依据和技术支持。方法 选取2022年3—12月在安徽医科大学第一附属医院普胸外科住院且完成问卷调查的153例肺癌患者作为肺癌组,采用病例对照研究设计的方法,按1:2的比例选取同期收治的306例非肿瘤患者作为对照组。采用问卷调查法调查两组的人口学特征及相关资料,通过单因素及多因素logistic回归分析肺癌的影响因素并建立预测模型,采用随机森林算法对各变量的重要性进行排序。结果 单因素分析显示,两组患者的性别、年龄、相关症状(长期气喘、反复胸痛、长期咳嗽或咳痰)、慢性气管炎史、肺癌家族史、饮食习惯(过快饮食、过饱饮食、不规律饮食)、饮酒史、吸烟史、经常熬夜、规律体育锻炼、接触史(长期接触粉尘或棉尘、长期接触煤烟)、性格易怒等情况比较差异有显著性(P<0.05)。多因素logistic回归分析显示,长期咳嗽或咳痰(OR=5.136,P<0.05)、肺癌家族史(OR=0.400,P<0.05)、过饱饮食(OR=3.814,P<0.05)、不规律饮食(OR=5.876,P<0.05)、吸烟史(OR=6.036,P<0.05)、长期接触粉尘或棉尘(OR=5.556,P<0.05)、性格易怒(OR=5.481,P<0.05)是肺癌的独立影响因素。基于logistic回归分析结果构建随机森林模型,其预测肺癌发生风险的ROC曲线下面积为0.917,敏感度为78.36%,特异度为89.10%;特征因素重要性排序由高到低依次为长期接触粉尘或棉尘、吸烟史、肺癌家族史、性格易怒、不规律饮食、过饱饮食。结论 长期接触粉尘或棉尘、吸烟史、肺癌家族史、性格易怒、不规律饮食、过饱饮食是肺癌的独立影响因素,据此构建的随机森林模型对肺癌具有较高的预测价值。

人工智能结合多层螺旋CT检查在机关体检人群肺结节筛查中的应用

目的探讨人工智能(AI)技术结合多层螺旋CT检查在机关体检人群肺结节筛查中的应用价值。方法回顾性分析在本院健康体检的机关人群胸部CT筛查至少有1个直径≥3 mm的患者资料,所有数据均由AI技术结合人工阅片的方式进行分析。记录肺结节检出率,依据AI技术预测的风险值将结节患者分成不同风险组,分析和比较结节的基本特征。结果肺结节检出率为60.4%。高风险患者更容易表现为纯磨玻璃样结节、混合磨玻璃样结节。有肺结节人群的平均年龄大于无肺结节人群,差异有统计学意义(P<0.05)。不同风险组肺结节性质、形态、内部征象及外部征象等基本特征比较,差异有统计学意义(P<0.05)。结论多层螺旋CT检查胸部扫描有助于大规模体检人群肺结节的筛查,AI技术结合人工阅片的方式能够提高肺结节筛查的准确性。

KRAS基因多态性与云南汉族人群非小细胞肺癌的相关性分析

目的 探讨KRAS基因多态性与云南汉族人群非小细胞肺癌发生发展及病理类型的相关性。方法 选取455例非小细胞肺癌患者,391例健康对照作为研究对象。采用Taqman探针基因分型法对KRAS基因3’UTR区域3个单核苷酸多态性(single nucleotide polymorphism,SNP)位点rs12587(G> T)、rs12245(A>C)、 rs1137282(A> G)进行基因分型。根据分型结果,分析等位基因、基因型及单倍型与非小细胞肺癌发生、病理类型(鳞癌、腺癌)和临床分期(Ⅰ+Ⅱ期、Ⅲ+Ⅳ期)的相关性。结果 rs12587(G> T)位点等位基因G在非小细胞肺癌组的分布频率显著高于对照组(P=0.008,OR=1.365,95%CI 1.086~1.716);在显性模式下携带T等位基因的个体(G/T+T/T)患非小细胞肺癌的风险显著降低(P=0.011,OR=0.70,95%CI 0.53~0.92)。病例分层分析发现,鳞癌组与对照组的rs12587(G> T)位点等位基因和基因型频率,差异有统计学意义(P <0.001、P=0.001);在显性模式下携带T等位基因的个体(G/T+T/T)患肺鳞癌的风险显著降低(P <0.001,OR=0.45,95%CI0.30~0.68)。非小细胞肺癌病例组与对照组rs12245(A> C)位点等位基因分布频率及基因型,差异无统计学意义(P> 0.05);在显性模式下携带A等位基因的个体(A/T+A/A)患非小细胞肺癌的风险显著降低(P=0.028,OR=0.73,95%CI 0.55~0.97)。病例分层分析发现鳞癌组与对照组的rs12245(A> C)位点等位基因和基因型频率,差异有统计学意义(P=0.003、P=0.001);在超显性模式下,基因型为A/T的个体患肺鳞癌的风险显著降低(P<0.001,OR=0.43,95%CI 0.28~0.67)。结论 KRAS基因3’UTR区域SNP位点rs12587(G> T)等位基因G可能是云南汉族人群非小细胞肺癌及鳞癌发生的风险因素。SNP位点rs12245(A> C)等位基因A可能是云南汉族人群非小细胞肺癌发生的保护性因素。

肺癌高危人群胸部低剂量CT筛查参与影响因素分析

目的:分析肺癌高危人群胸部低剂量CT(LDCT)筛查参与影响因素。方法:按照整群抽样法选取2020年1月至2022年12月某市40~75岁常住居民,采用癌症风险评估问卷收集其人口学特征、生活习惯、家族史、个人既往病史等资料,并进行癌症风险评估,邀请评估结果为肺癌高危者进行免费胸部LDCT筛查。采用Logistic回归分析LDCT筛查参与的影响因素。结果:肺癌高危研究对象687人,241人来院参与了LDCT筛查,LDCT筛查参与率为35.08%。Logistic回归分析结果显示,性别[OR(95%CI)为0.549(0.381~0.790)]、BMI[1.871(1.298~2.697)]、饮酒[1.577(1.081~2.300)]、体育锻炼[1.991(1.282~3.094)]、肺癌家族史[1.721(1.168~2.535)]、呼吸系统疾病史[2.086(1.383~3.146)]、文化程度[9.366(5.872~14.941)]是肺癌高危人群LDCT筛查参与的影响因素。结论:目前肺癌高危人群胸部LDCT筛查参与率仍处于较低水平,性别、BMI、饮酒史、体育锻炼、肺癌家族史、呼吸系统疾病史、文化程度是肺癌高危人群LDCT筛查参与的影响因素。

人小细胞肺癌细胞株H446侧群细胞的生物学特征

背景与目的:肿瘤干细胞学说的提出为肿瘤治疗提供了新的靶点和方向,但肿瘤干细胞的分离纯化一直是个难题。本研究拟从人小细胞肺癌细胞株H446中分离并鉴定出具有干细胞特性的侧群(SP)细胞,研究其生物学特征,为肿瘤干细胞的分离纯化奠定基础。方法:采用荧光激活细胞分选(FACS)技术分选得到H446细胞中SP细胞和非侧群(NSP)细胞,并检测纯度。观察形成悬浮肿瘤细胞球的能力,采用逆转录-聚合酶链反应(RT-PCR)及荧光定量PCR检测这两种细胞亚群中CD133、ABCG2、NucleosteminmRNA水平。MTT法比较SP细胞、NSP细胞及未分选细胞体外增殖能力及耐药性差异,流式细胞仪检测体外分化能力,裸鼠成瘤实验检测体内成瘤能力。结果:荧光显微镜下H446细胞中Hoechst33342阴性细胞约为(5.1±0.2)%。流式细胞分选结果显示,H446中SP细胞比例为(6.3±0.1)%。SP细胞在无血清培养基中形成悬浮肿瘤细胞球的能力强于NSP细胞。CD133、ABCG2在SP细胞中的表达是NSP细胞的(21.60±0.26)倍、(7.10±0.14)倍,差异有统计学意义(P<0.01);Nucleostemin在SP细胞中的表达是非SP细胞的(1.02±0.08)倍,差异无统计学意义(P>0.05)。SP细胞体外增殖能力及耐药存活能力均明显强于NSP细胞及未经分选的细胞(P<0.01);SP细胞在体外可分化为NSP细胞,但NSP细胞在体外不可分化为SP细胞;SP细胞在裸鼠体内具有较强的致瘤性。结论:人小细胞肺癌细胞株H446中存在具有肿瘤干细胞特性的SP细胞,CD133、ABCG2可能是人小细胞肺癌干细胞的分子标志物。

武汉市城区居民肺癌危险因素研究

目的探讨武汉市肺癌主要危险因素,为采取切实可行的防治措施提供依据。方法采用病例对照研究方法,收集370例肺癌病例和符合条件的对照740例进行问卷调查,应用条件Logistic回归分析方法进行单因素和多因素的分析,并计算每个危险因素的PAR%。结果武汉市城区肺癌主要危险因素有室内化学物污染、吸烟、被动吸烟、精神压抑、肺部疾患史、新鲜蔬菜和水果摄入少等。男性肺癌归因于吸烟的比例为最高;女性肺癌主要归因于新鲜蔬菜摄入少、体重指数、体育锻炼、厨房油烟。结论精神压抑、室内化学物污染、吸烟、被动吸烟、新鲜蔬菜摄入少、呼吸系统疾病史、厨房油烟等因素可以解释武汉市城区90%左右的肺癌发病。而吃蔬菜较多、参加体育锻炼、心理健康等为肺癌发病的保护因素。

肺干细胞的研究进展

肺干细胞(lung stem cells)是指在特定条件下能分化为功能性肺组织,在维持肺组织更新和肺损伤修复中起着重要作用的细胞。近年来对肺干细胞的研究已取得了很大的进展,该文就肺干细胞的来源、分离方法、应用以及肺癌干细胞等方面的研究进展作如下综述。

肺癌早筛早诊的精准化探索

目前,肺癌仍是全世界范围内癌症相关死亡的主要原因。早期肺癌可以实现治愈,而晚期肺癌患者的5年生存率极低,因此早诊早治是提高生存率的关键。既往研究已经证实了运用低剂量CT对肺癌高危人群进行筛查可降低肺癌相关死亡率,但肺癌早期诊治策略仍有许多问题亟需解决,如高危人群的选择和肺结节良恶性的鉴别判断尚欠精准。本研究总结近年来本课题组在肺癌早筛早诊方面的有关工作,并对相关研究进展进行综述,包括利用数据挖掘及队列孟德尔随机分析等手段探索新的肺癌高危因素,研发人工智能及血浆游离DNA检测等工具辅助高危结节的鉴别诊断和处理,以及开发药物治疗极早期肺癌的新手段等,希望为肺癌早筛早诊的临床实践及科研方向提供思路。

CD13抑制剂乌苯美司对A549细胞顺铂敏感性的影响及其机制

目的:检测CD13抑制剂乌苯美司联合顺铂对A549细胞增殖、细胞凋亡的影响,并探讨其机制。方法:应用噻唑蓝比色法检测细胞增殖;流式细胞Annexin V-FITC/PI双染色法检测细胞凋亡;Western blot方法检测p53、PARP-1、Bcl-2、Bcl2-xL和Caspase蛋白水平;酶活性底物法检测CD13活性;Hoechst33342染色联合流式细胞术检测侧群细胞。结果:乌苯美司单药对A549细胞增殖无显著影响(P>0.05),乌苯美司(100μg/mL)联合顺铂作用A549细胞24、48、72 h后,乌苯美司可显著增强8、16μmol/L顺铂对A549细胞的增殖抑制(P<0.05),并呈时间依赖性,72h时,8、16μmol/L顺铂组和顺铂联合组的细胞增殖率分别为(62.06±7.60)%vs.(27.92±5.84)%和(19.22±1.57)%vs.(0.67±0.42)%(P<0.05);但对64μmol/L顺铂的细胞增殖率无明显影响(P>0.05)。16μmol/L顺铂联合组细胞凋亡的比例明显增加(P<0.05)。乌苯美司对P53、PARP-1、Bcl-2、Bcl2-xL及Capsize蛋白水平无明显影响,但显著抑制A549细胞CD13活性和降低A549侧群细胞比例(P<0.05)。结论:CD13抑制剂乌苯美司体外条件下显著提高低剂量顺铂对A549细胞的抑制作用,可能成为CD13阳性非小细胞肺癌患者顺铂的增敏剂。

中医药预防非小细胞肺癌术后复发转移优势患者的中医学特征

目的探讨中医药预防非小细胞肺癌(NSCLC)术后复发转移优势患者的中医学特征。方法回顾性收集200例NSCLC术后患者病例资料,采用Excel2016建立数据库,通过一般描述性分析和多因素回归分析探讨中医药预防NSCLC术后复发转移优势患者的中医学特征。结果中医药预防NSCLC术后复发转移优势患者的中医学特征分布特点为脾肺气虚证、气虚证、中药干预空白期<2个月;脾肺气虚证、中药干预空白期<2个月为保护因素。结论脾肺气虚证、中药干预空白期<2个月是中医药预防NSCLC术后复发转移优势患者的中医学特征。