
浏览全部资源
扫码关注微信
1.陕西中医药大学医学技术学院,咸阳 712046
2.陕西中医药大学附属医院检验科,咸阳 712000
杨蕊菲,Email:18700086493@163.com,研究方向:肿瘤分子诊断。
马艳侠,Email:13991038586@163.com。
收稿:2023-10-23,
修回:2024-03-25,
录用:2024-04-23,
纸质出版:2025-03-28
移动端阅览
杨蕊菲,刘葆婧,武曼,等.血浆ctDNA中HOXA7、SOX17甲基化联合影像学指标在肺癌早诊中的应用研究[J].重庆医科大学学报,2025,50(3):403-408.
Yang Ruifei,Liu Baojing,Wu Man,et al.Application of radiological indicators combined with the methylation of HOXA7 and SOX17 in plasma circulating tumor DNA in the early diagnosis of lung cancer[J].Journal of Chongqing Medical University,2025,50(3):403-408.
杨蕊菲,刘葆婧,武曼,等.血浆ctDNA中HOXA7、SOX17甲基化联合影像学指标在肺癌早诊中的应用研究[J].重庆医科大学学报,2025,50(3):403-408. DOI: 10.13406/j.cnki.cyxb.003715.
Yang Ruifei,Liu Baojing,Wu Man,et al.Application of radiological indicators combined with the methylation of HOXA7 and SOX17 in plasma circulating tumor DNA in the early diagnosis of lung cancer[J].Journal of Chongqing Medical University,2025,50(3):403-408. DOI: 10.13406/j.cnki.cyxb.003715.
目的
2
探讨肺结节直径、影像学指标、癌胚抗原(carcinoembryonic antigen,CEA)、细胞角蛋白19片段(cytokeratin 19 fragment antigen,CYFRA21-1)、鳞状细胞癌抗原(squamous cell carcinoma antigen,SCC)等血清肿瘤标志物及循环肿瘤DNA(circulating tumor DNA,ctDNA)中HOXA7、SOX17甲基化联合诊断早期肺癌的价值。
方法
2
选取2021年9月至2022年12月本院收治的恶性肺结节患者60例,良性肺结节患者60例,作为肺癌组和良性结节组,另择同期于我院行体格检查的80例健康体检者作为对照组。比较3组间患者结节直径、毛刺征、血清肿瘤标志物水平及血浆ctDNA HOXA7、SOX17甲基化率,并通过多因素回归分析筛选癌变患者的独立危险因素,得出预测模型方程,采用受试者工作特征(receiver operating characteristic,ROC)曲线评价模型的诊断效能。
结果
2
肺癌组肺结节直径、毛刺征、CEA、ProGRP、CYFRA21-1、血清HOXA7及SOX17甲基化率明显高于良性结节组和对照组,肺癌组SCC明显高于对照组,差异有统计学意义(
P
均
<
0.05)。肺结节直径、毛刺征及血清ctDNA HOXA7、SOX17甲基化率是恶性肺结节的独立危险因素(
P
<
0.05),建立预测模型为
Y=e
x
/(1+
e
x
),
x
=-7.233+(0.108×结节直径)+(3.860×毛刺征)+(0.021×HOXA7甲基化率)+(0.043×SOX17甲基化率)。预测模型的AUC为0.981,相较于单个指标显著提升,较Mayo模型、LCBP模型的AUC高,差异均有统计学意义(
P
<
0.05)。
结论
2
肺结节直径、毛刺征、ctDNA HOXA7、SOX17甲基化率检测对肺癌患者早诊具有较高的诊断价值,基于以上指标建立的预测模型可明显提升诊断效能。
Objective
2
To investigate the value of diameter of pulmonary nodules,radiological indicators,serum tumor markers(CEA,CYFRA21-1,and SCC),and methylation of HOXA7 and SOX17 in circulating tumor DNA(ctDNA) in the early diagnosis of lung cancer.
Methods
2
A total of 60 patients with malignant pulmonary nodules and 60 patients with benign pulmonary nodules who were admitted to our hospital from September 2021 to December 2022 were enrolled as lung cancer group and benign nodule group,respectively,and 80 healthy individuals who underwent physical examination in our hospital during the same period of time were enrolled as control group. The three groups were compared in terms of the diameter of nodules,spiculation sign,levels of serum tumor markers,and methylation rates of HOXA7 and SOX17 in plasma ctDNA,and a multivariate regression analysis was performed to identify the independent risk factors for carcinogenesis and establish a predictive model. The receiver operating characteristic(ROC) curve was used to evaluate the diagnostic performance of the model.
Results
2
Compared with the benign nodule group and the control group,the lung cancer group had significantly higher diameter of pulmonary nodules,proportion of patients with spiculation sign,CEA,ProGRP,CYFRA21-1,and methylation rates of serum HOXA7,and SOX17,and the lung cancer group had a significantly higher level of SCC than the control group(all
P
<
0.05). The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in serum ctDNA were independent risk factors for malignant pulmonary nodules (
P
<
0.05),and a predictive model was established as Y
=e
x
/
(1+
e
x
),where
x
=-7.233+(0.108×nodule diameter)+(3.860×spiculation sign)+(0.021×HOXA7 methylation rate)+(0.043×SOX17 methylation rate). The predictive model had an area under the ROC curve (AUC) of 0.981,with a significantly larger AUC than each indicator alone and the Mayo and LCBP models(
P
<
0.05).
Conclusion
2
The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in ctDNA have a relatively high value in the early diagnosis of lung cancer,and the predictive model based on these indicators can significantly improve diagnostic performance.
Sung H , Ferlay J , Siegel RL , et al . Global cancer statistics 2020:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J ] . CA Cancer J Clin , 2021 , 71 ( 3 ): 209 - 249 .
郑荣寿 , 孙可欣 , 张思维 , 等 . 2015年中国恶性肿瘤流行情况分析 [J ] . 中华肿瘤杂志 , 2019 , 41 ( 1 ): 19 - 28 .
Zheng RS , Sun KX , Zhang SW , et al . Report of cancer epidemiology in China,2015 [J ] . Chin J Oncol , 2019 , 41 ( 1 ): 19 - 28 .
周清华 , 范亚光 , 王 颖 , 等 . 中国肺部结节分类、诊断与治疗指南(2016年版) [J ] . 中国肺癌杂志 , 2016 , 19 ( 12 ): 793 - 798 .
Zhou QH , Fan YG , Wang Y , et al . China national guideline of classification,diagnosis and treatment for lung nodules(2016 version) [J ] . Chin J Lung Cancer , 2016 , 19 ( 12 ): 793 - 798 .
Mazzone PJ , Lam L . Evaluating the patient with a pulmonary nodule:a review [J ] . JAMA , 2022 , 327 ( 3 ): 264 - 273 .
李国仁 , 戴建华 . 我国肺部结节精准诊断的现状及研究进展 [J ] . 中华胸心血管外科杂志 , 2019 , 35 ( 9 ): 566 - 572
Li GR , Dai JH . Current status and research progress of precision diagnosis of pulmonary nodules in China [J ] . Chin J Thorac Cardiovasc Surg , 2019 , 35 ( 9 ): 566 - 572 .
罗汶鑫 , 李为民 . 肺癌的表观遗传学研究进展及其临床意义 [J ] . 中国呼吸与危重监护杂志 , 2018 , 17 ( 3 ): 313 - 318 .
Luo WX , Li WM . Advances in epigenetics of lung cancer and its clinical significance [J ] . Chin J Respir Crit Care Med , 2018 , 17 ( 3 ): 313 - 318 .
詹雪梅 . SHOX2和RASSF1A基因甲基化联合检测在早期肺癌中的诊断价值 [D ] . 长春 : 吉林大学 , 2021 .
Zhan XM . Diagnostic Value of Combined Detection of SHOX2 and RASSF1A Gene Methylation in Early Lung Cancer [D ] . Changchun : Jilin University , 2021 .
郭 丹 , 杨 亮 , 石科 , 等 . 组织和血浆cfDNA中HOXA6和HOXA7基因的异常甲基化在肺癌诊断中的作用 [J ] . 基因组学与应用生物学 , 2019 , 38 ( 10 ): 4732 - 4737 .
Guo D , Yang L , Shi K , et al . Role of aberrant methylation of HOXA6 and HOXA7 genes in tissue and plasma cfDNA in the diagnosis of lung cancer [J ] . Genom Appl Biol , 2019 , 38 ( 10 ): 4732 - 4737 .
Grimm D , Bauer J , Wise P , et al . The role of SOX family members in solid tumours and metastasis [J ] . Semin Cancer Biol , 2020 , 67 ( Pt 1 ): 122 - 153 .
Hansell DM , Bankier AA , MacMahon H , et al . Fleischner Society:glossary of terms for thoracic imaging [J ] . Radiology , 2008 , 246 ( 3 ): 697 - 722 .
中华医学会呼吸病学分会肺癌学组 , 中国肺癌防治联盟专家组 . 肺结节诊治中国专家共识(2018年版) [J ] . 中华结核和呼吸杂志 , 2018 , 41 ( 10 ): 763 - 771 .
China expert consensus on diagnosis and treatment of pulmonary nodules(2018 edition) [J ] . Chin J Tuberc Respir Dis , 2018 , 41 ( 10 ): 763 - 771 .
Perandini S , Soardi GA , Motton M , et al . Solid pulmonary nodule risk assessment and decision analysis:comparison of four prediction models in 285 cases [J ] . Eur Radiol , 2016 , 26 ( 9 ): 3071 - 3076 .
Yang DW , Zhang XJ , Powell CA , et al . Probability of cancer in high-risk patients predicted by the protein-based lung cancer biomarker panel in China:LCBP study [J ] . Cancer , 2018 , 124 ( 2 ): 262 - 270 .
de Koning HJ , van der Aalst CM , de Jong PA , et al . Reduced lung-cancer mortality with volume CT screening in a randomized trial [J ] . N Engl J Med , 2020 , 382 ( 6 ): 503 - 513 .
Chen ZY , Zhang Y . Role of mammalian DNA methyltransferases in development [J ] . Annu Rev Biochem , 2020 , 89 : 135 - 158 .
Zang RC , Wang XF , Jin RS , et al . Translational value of IDH1 and DNA methylation biomarkers in diagnosing lung cancers:a novel diagnostic panel of stage and histology-specificity [J ] . J Transl Med , 2019 , 17 ( 1 ): 430 .
Duruisseaux M , Esteller M . Lung cancer epigenetics:from knowledge to applications [J ] . Semin Cancer Biol , 2018 , 51 : 116 - 128 .
Weiss G , Schlegel A , Kottwitz D , et al . Validation of the SHOX2/PTGER4 DNA methylation marker panel for plasma-based discrimination between patients with malignant and nonmalignant lung disease [J ] . J Thorac Oncol , 2017 , 12 ( 1 ): 77 - 84 .
Hubers AJ , Brinkman P , Boksem RJ , et al . Combined sputum hypermethylation and eNose analysis for lung cancer diagnosis [J ] . J Clin Pathol , 2014 , 67 ( 8 ): 707 - 711 .
Warton K , Samimi G . Methylation of cell-free circulating DNA in the diagnosis of cancer [J ] . Front Mol Biosci , 2015 , 2 : 13 .
MORGAN AE , DAVIES TJ , MC AULEY MT . The role of DNA methylation in ageing and cancer [J ] . Proc Nutr Soc , 2018 , 77 ( 4 ): 412 - 422 .
Zou XZ , Liu T , Huang ZJ , et al . SOX17 is a critical factor in maintaining endothelial function in pulmonary hypertension by an exosome-mediated autocrine manner [J ] . Adv Sci , 2023 , 10 ( 14 ): e2206139 .
Li Y , Chen PR , Zu LL , et al . Erratum:MicroRNA-338-3p suppresses metastasis of lung cancer cells by targeting the EMT regulator Sox4 [J ] . Am J Cancer Res , 2016 , 6 ( 7 ): 1582 .
Li YL , Lv ZB , He GY , et al . The SOX17/miR-371-5p/SOX2 axis inhibits EMT,stem cell properties and metastasis in colorectal cancer [J ] . Oncotarget , 2015 , 6 ( 11 ): 9099 - 9112 .
Fu DY , Tan HS , Wei JL , et al . Decreased expression of SOX17 is associated with tumor progression and poor prognosis in breast cancer [J ] . Tumour Biol , 2015 , 36 ( 10 ): 8025 - 8034 .
Zhang YL , Bao W , Wang K , et al . SOX17 is a tumor suppressor in endometrial cancer [J ] . Oncotarget , 2016 , 7 ( 46 ): 76036 - 76046 .
Schmidt B , Liebenberg V , Dietrich D , et al . SHOX2 DNA Methylation is a Biomarker for the diagnosis of lung cancer based on bronchial aspirates [J ] . BMC Cancer , 2010 , 10 ( 1 ): 600 .
盛大平 , 闫 川 , 冯涵 , 等 . 四种血清肿瘤标志物在肺癌诊断中的应用 [J ] . 中国现代医生 , 2021 , 59 ( 2 ): 133 - 135,139,193 .
Sheng DP , Yan C , Feng H , et al . The application of four serum tumor markers in the diagnosis of lung cancer [J ] . China Mod Dr , 2021 , 59 ( 2 ): 133 - 135,139,193 .
Swensen SJ , Silverstein MD , Ilstrup DM , et al . The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules [J ] . Arch Intern Med , 1997 , 157 ( 8 ): 849 - 855 .
Nooreldeen R , Bach H . Current and Future Development in Lung Cancer Diagnosis [J ] . Int J Mol Sci , 2021 , 22 ( 16 ): 8661 .
Muller DC , Johansson M , Brennan P . Lung cancer risk prediction model incorporating lung function:development and validation in the UK biobank prospective cohort study [J ] . J Clin Oncol , 2017 , 35 ( 8 ): 861 - 869 .
Gray EP , Teare MD , Stevens J , et al . Risk prediction models for lung cancer:a systematic review [J ] . Clin Lung Cancer , 2016 , 17 ( 2 ): 95 - 106 .
Sakoda LC , Henderson LM , Caverly TJ , et al . Applying risk prediction models to optimize lung cancer screening:current knowledge,challenges,and future directions [J ] . Curr Epidemiol Rep , 2017 , 4 ( 4 ): 307 - 320 .
周舒畅 , 吴 维 , 胡琼洁 , 等 . RSNA2015胸部影像学 [J ] . 放射学实践 , 2016 , 31 ( 3 ): 194 - 201 .
Zhou SC , Wu W , Hu QJ , et al . RSNA2015 chest imaging [J ] . Radiol Pract , 2016 , 31 ( 3 ): 194 - 201 .
0
浏览量
5
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621