Laboratory Medicine ›› 2020, Vol. 35 ›› Issue (5): 399-404.DOI: 10.3969/j.issn.1673-8640.2020.05.001
JIANG Wenrong, MIAO Yingxin, WANG Su, WANG Shiwen, ZHAO Hu, ZHANG Yanmei(
)
Received:2019-11-13
Online:2020-05-30
Published:2020-06-17
CLC Number:
JIANG Wenrong, MIAO Yingxin, WANG Su, WANG Shiwen, ZHAO Hu, ZHANG Yanmei. Influence of common clinical interference factors on the detection of ctDNA EGFR T790M mutation[J]. Laboratory Medicine, 2020, 35(5): 399-404.
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| 组别 | 胆红素/ (μmol/L) | 血红蛋白/ (g/L) | 三酰甘油/ (mmol/L) |
|---|---|---|---|
| 黄疸组 | |||
| 低干扰组 | 85.5 | ||
| 中度干扰组 | 171.0 | ||
| 较高干扰组 | 256.5 | ||
| 高干扰组 | 342.0 | ||
| 溶血组 | |||
| 低干扰组 | 0.5 | ||
| 中度干扰组 | 1.0 | ||
| 较高干扰组 | 1.5 | ||
| 高干扰组 | 2.0 | ||
| 脂血组 | |||
| 低干扰组 | 9.25 | ||
| 中度干扰组 | 18.50 | ||
| 较高干扰组 | 27.75 | ||
| 高干扰组 | 37.00 |
| 组别 | 胆红素/ (μmol/L) | 血红蛋白/ (g/L) | 三酰甘油/ (mmol/L) |
|---|---|---|---|
| 黄疸组 | |||
| 低干扰组 | 85.5 | ||
| 中度干扰组 | 171.0 | ||
| 较高干扰组 | 256.5 | ||
| 高干扰组 | 342.0 | ||
| 溶血组 | |||
| 低干扰组 | 0.5 | ||
| 中度干扰组 | 1.0 | ||
| 较高干扰组 | 1.5 | ||
| 高干扰组 | 2.0 | ||
| 脂血组 | |||
| 低干扰组 | 9.25 | ||
| 中度干扰组 | 18.50 | ||
| 较高干扰组 | 27.75 | ||
| 高干扰组 | 37.00 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| DNA浓度/(ng/μL) | P值 | DNA浓度/(ng/μL) | P值 | |
| 空白组 | 9.7±1.3 | 14.6±4.3 | ||
| 黄疸组 | ||||
| 低干扰组 | 14.7±4.8 | 0.005 | 11.9±3.2 | 0.013 |
| 中度干扰组 | 13.5±1.6 | 0.002 | 12.9±5.2 | 0.266 |
| 较高干扰组 | 14.2±2.3 | 0.002 | 21.2±18.0 | 0.224 |
| 高干扰组 | 14.7±2.7 | 0.002 | 14.0±4.9 | 0.669 |
| 溶血组 | ||||
| 低干扰组 | 12.1±3.1 | 0.109 | 12.3±1.5 | 0.135 |
| 中度干扰组 | 13.0±5.1 | 0.129 | 12.4±2.6 | 0.125 |
| 较高干扰组 | 13.3±5.3 | 0.139 | 12.1±1.9 | 0.101 |
| 高干扰组 | 11.3±2.0 | 0.153 | 11.9±1.5 | 0.037 |
| 脂血组 | ||||
| 低干扰组 | 15.4±3.3 | 0.001 | 15.3±5.2 | 0.827 |
| 中度干扰组 | 16.3±4.2 | 0.001 | 17.9±6.5 | 0.354 |
| 较高干扰组 | 17.6±6.9 | 0.006 | 21.3±10.9 | 0.181 |
| 高干扰组 | 19.9±8.4 | 0.006 | 23.5±11.9 | 0.116 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| DNA浓度/(ng/μL) | P值 | DNA浓度/(ng/μL) | P值 | |
| 空白组 | 9.7±1.3 | 14.6±4.3 | ||
| 黄疸组 | ||||
| 低干扰组 | 14.7±4.8 | 0.005 | 11.9±3.2 | 0.013 |
| 中度干扰组 | 13.5±1.6 | 0.002 | 12.9±5.2 | 0.266 |
| 较高干扰组 | 14.2±2.3 | 0.002 | 21.2±18.0 | 0.224 |
| 高干扰组 | 14.7±2.7 | 0.002 | 14.0±4.9 | 0.669 |
| 溶血组 | ||||
| 低干扰组 | 12.1±3.1 | 0.109 | 12.3±1.5 | 0.135 |
| 中度干扰组 | 13.0±5.1 | 0.129 | 12.4±2.6 | 0.125 |
| 较高干扰组 | 13.3±5.3 | 0.139 | 12.1±1.9 | 0.101 |
| 高干扰组 | 11.3±2.0 | 0.153 | 11.9±1.5 | 0.037 |
| 脂血组 | ||||
| 低干扰组 | 15.4±3.3 | 0.001 | 15.3±5.2 | 0.827 |
| 中度干扰组 | 16.3±4.2 | 0.001 | 17.9±6.5 | 0.354 |
| 较高干扰组 | 17.6±6.9 | 0.006 | 21.3±10.9 | 0.181 |
| 高干扰组 | 19.9±8.4 | 0.006 | 23.5±11.9 | 0.116 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| A260/A280 | P值 | A260/A280 | P值 | |
| 空白组 | 2.27±0.50 | 1.73±0.15 | ||
| 黄疸组 | ||||
| 低干扰组 | 2.24±0.19 | 0.846 | 1.86±0.25 | 0.098 |
| 中度干扰组 | 2.16±0.16 | 0.554 | 1.82±0.08 | 0.159 |
| 较高干扰组 | 2.12±0.14 | 0.472 | 1.78±0.11 | 0.308 |
| 高干扰组 | 2.08±0.10 | 0.286 | 1.74±0.10 | 0.813 |
| 溶血组 | ||||
| 低干扰组 | 2.11±0.15 | 0.346 | 1.99±0.35 | 0.010 |
| 中度干扰组 | 2.13±0.24 | 0.393 | 1.92±0.35 | 0.037 |
| 较高干扰组 | 2.16±0.34 | 0.555 | 1.91±0.30 | 0.031 |
| 高干扰组 | 2.15±0.33 | 0.632 | 1.99±0.53 | 0.106 |
| 脂血组 | ||||
| 低干扰组 | 2.07±0.22 | 0.293 | 2.35±0.29 | 0.000 |
| 中度干扰组 | 2.19±0.36 | 0.616 | 2.20±0.19 | 0.000 |
| 较高干扰组 | 2.19±0.44 | 0.613 | 2.21±0.38 | 0.001 |
| 高干扰组 | 2.19±0.25 | 0.607 | 2.24±0.48 | 0.003 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| A260/A280 | P值 | A260/A280 | P值 | |
| 空白组 | 2.27±0.50 | 1.73±0.15 | ||
| 黄疸组 | ||||
| 低干扰组 | 2.24±0.19 | 0.846 | 1.86±0.25 | 0.098 |
| 中度干扰组 | 2.16±0.16 | 0.554 | 1.82±0.08 | 0.159 |
| 较高干扰组 | 2.12±0.14 | 0.472 | 1.78±0.11 | 0.308 |
| 高干扰组 | 2.08±0.10 | 0.286 | 1.74±0.10 | 0.813 |
| 溶血组 | ||||
| 低干扰组 | 2.11±0.15 | 0.346 | 1.99±0.35 | 0.010 |
| 中度干扰组 | 2.13±0.24 | 0.393 | 1.92±0.35 | 0.037 |
| 较高干扰组 | 2.16±0.34 | 0.555 | 1.91±0.30 | 0.031 |
| 高干扰组 | 2.15±0.33 | 0.632 | 1.99±0.53 | 0.106 |
| 脂血组 | ||||
| 低干扰组 | 2.07±0.22 | 0.293 | 2.35±0.29 | 0.000 |
| 中度干扰组 | 2.19±0.36 | 0.616 | 2.20±0.19 | 0.000 |
| 较高干扰组 | 2.19±0.44 | 0.613 | 2.21±0.38 | 0.001 |
| 高干扰组 | 2.19±0.25 | 0.607 | 2.24±0.48 | 0.003 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| 内控Ct值 | P值 | 内控Ct值 | P值 | |
| 空白组 | 15.95±0.69 | / | 14.59±0.64 | / |
| 黄疸组 | ||||
| 低干扰组 | 15.62±0.26 | 0.243 | 14.54±0.58 | 0.626 |
| 中度干扰组 | 15.69±0.74 | 0.456 | 14.40±0.52 | 0.113 |
| 较高干扰组 | 15.72±0.71 | 0.550 | 14.32±0.52 | 0.040 |
| 高干扰组 | 15.71±0.75 | 0.517 | 14.30±0.57 | 0.020 |
| 溶血组 | ||||
| 低干扰组 | 15.76±0.43 | 0.418 | 14.63±0.86 | 0.790 |
| 中度干扰组 | 15.75±0.54 | 0.520 | 14.44±0.46 | 0.169 |
| 较高干扰组 | 15.74±0.77 | 0.585 | 14.49±0.52 | 0.213 |
| 高干扰组 | 15.91±0.56 | 0.892 | 14.38±0.64 | 0.135 |
| 脂血组 | ||||
| 低干扰组 | 14.43±0.52 | 0.000 | 14.12±0.55 | 0.011 |
| 中度干扰组 | 14.37±0.44 | 0.000 | 13.89±0.62 | 0.000 |
| 较高干扰组 | 14.61±0.24 | 0.001 | 14.26±0.37 | 0.049 |
| 高干扰组 | 14.31±0.41 | 0.000 | 13.93±0.46 | 0.001 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| 内控Ct值 | P值 | 内控Ct值 | P值 | |
| 空白组 | 15.95±0.69 | / | 14.59±0.64 | / |
| 黄疸组 | ||||
| 低干扰组 | 15.62±0.26 | 0.243 | 14.54±0.58 | 0.626 |
| 中度干扰组 | 15.69±0.74 | 0.456 | 14.40±0.52 | 0.113 |
| 较高干扰组 | 15.72±0.71 | 0.550 | 14.32±0.52 | 0.040 |
| 高干扰组 | 15.71±0.75 | 0.517 | 14.30±0.57 | 0.020 |
| 溶血组 | ||||
| 低干扰组 | 15.76±0.43 | 0.418 | 14.63±0.86 | 0.790 |
| 中度干扰组 | 15.75±0.54 | 0.520 | 14.44±0.46 | 0.169 |
| 较高干扰组 | 15.74±0.77 | 0.585 | 14.49±0.52 | 0.213 |
| 高干扰组 | 15.91±0.56 | 0.892 | 14.38±0.64 | 0.135 |
| 脂血组 | ||||
| 低干扰组 | 14.43±0.52 | 0.000 | 14.12±0.55 | 0.011 |
| 中度干扰组 | 14.37±0.44 | 0.000 | 13.89±0.62 | 0.000 |
| 较高干扰组 | 14.61±0.24 | 0.001 | 14.26±0.37 | 0.049 |
| 高干扰组 | 14.31±0.41 | 0.000 | 13.93±0.46 | 0.001 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| 突变ΔCt值 | P值 | 突变ΔCt值 | P值 | |
| 空白组 | 4.84±0.61 | -0.42±0.49 | ||
| 黄疸组 | ||||
| 低干扰组 | 4.94±0.86 | 0.766 | -0.65±0.30 | 0.087 |
| 中度干扰组 | 4.59±1.15 | 0.560 | -0.56±0.50 | 0.393 |
| 较高干扰组 | 4.55±1.02 | 0.449 | -0.51±0.33 | 0.567 |
| 高干扰组 | 4.61±1.48 | 0.700 | -0.54±0.34 | 0.262 |
| 溶血组 | ||||
| 低干扰组 | 5.11±0.71 | 0.275 | -0.64±0.33 | 0.081 |
| 中度干扰组 | 4.83±0.99 | 0.976 | -0.71±0.37 | 0.007 |
| 较高干扰组 | 4.69±0.94 | 0.579 | -0.73±0.28 | 0.034 |
| 高干扰组 | 4.68±0.77 | 0.463 | -0.85±0.30 | 0.011 |
| 脂血组 | ||||
| 低干扰组 | 5.64±0.60 | 0.011 | -0.80±0.36 | 0.008 |
| 中度干扰组 | 5.55±0.42 | 0.008 | -0.99±0.26 | 0.043 |
| 较高干扰组 | 5.88±0.33 | 0.000 | -0.89±0.38 | 0.003 |
| 高干扰组 | 5.75±0.55 | 0.000 | -0.52±0.26 | 0.507 |
| 组别 | T790M临界阳性 | T790M强阳性 | ||
|---|---|---|---|---|
| 突变ΔCt值 | P值 | 突变ΔCt值 | P值 | |
| 空白组 | 4.84±0.61 | -0.42±0.49 | ||
| 黄疸组 | ||||
| 低干扰组 | 4.94±0.86 | 0.766 | -0.65±0.30 | 0.087 |
| 中度干扰组 | 4.59±1.15 | 0.560 | -0.56±0.50 | 0.393 |
| 较高干扰组 | 4.55±1.02 | 0.449 | -0.51±0.33 | 0.567 |
| 高干扰组 | 4.61±1.48 | 0.700 | -0.54±0.34 | 0.262 |
| 溶血组 | ||||
| 低干扰组 | 5.11±0.71 | 0.275 | -0.64±0.33 | 0.081 |
| 中度干扰组 | 4.83±0.99 | 0.976 | -0.71±0.37 | 0.007 |
| 较高干扰组 | 4.69±0.94 | 0.579 | -0.73±0.28 | 0.034 |
| 高干扰组 | 4.68±0.77 | 0.463 | -0.85±0.30 | 0.011 |
| 脂血组 | ||||
| 低干扰组 | 5.64±0.60 | 0.011 | -0.80±0.36 | 0.008 |
| 中度干扰组 | 5.55±0.42 | 0.008 | -0.99±0.26 | 0.043 |
| 较高干扰组 | 5.88±0.33 | 0.000 | -0.89±0.38 | 0.003 |
| 高干扰组 | 5.75±0.55 | 0.000 | -0.52±0.26 | 0.507 |
| [1] | 段纪俊,严亚琼,杨念念,等. 中国恶性肿瘤发病与死亡的国际比较分析[J]. 中国医学前沿杂志(电子版),2016,8(7):17-23. |
| [2] | LIANG Z,CHENG Y,CHEN Y,et al.EGFR T790M ctDNA testing platforms and their role as companion diagnostics:correlation with clinical outcomes to EGFR-TKIs[J]. Cancer Lett,2017,403:186-194. |
| [3] | ALIX-PANABIÈRES C,PANTEL K. Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy[J]. Cancer Discov,2016,6(5):479-491. |
| [4] | 林铖,姜傥. 液体活检技术在非小细胞肺癌患者EGFR-TKI继发耐药中的应用[J]. 检验医学,2016,31(10):835-843. |
| [5] | ROLFO C,CASTIGLIA M,HONG D,et al.Liquid biopsies in lung cancer:the new ambrosia of researchers[J]. Biochim Biophys Acta,2014,1846(2):539-546. |
| [6] | 胥明勇,吴泳桦,朱华强. PCR抑制物干扰HBV DNA试剂检测能力评价[J]. 四川医学,2019,40(5):522-524. |
| [7] | 中华人民共和国国家卫生和计划生育委员会. WS/T 416—2013 干扰实验指南[S]. 北京:中华人民共和国国家卫生和计划生育委员会,2013. |
| [8] | 尚红,王毓三,申子瑜. 全国临床检验操作规程[M]. 4版. 北京:人民卫生出版社,2015. |
| [9] | PAO W,MILLER V A,POLITI K A,et al.Acquired resistance of lung adenocarcinomas to gefitinib or erlotinib is associated with a second mutation in the EGFR kinase domain[J]. PLoS Med,2005,2(3):e73. |
| [10] | DIAZ L A Jr,BARDELLI A. Liquid biopsies:genotyping circulating tumor DNA[J]. J Clin Oncol,2014,32(6):579-586. |
| [11] | DUAN H,LU J,LU T,et al.Comparison of EGFR mutation status between plasma and tumor tissue in non-small cell lung cancer using the Scorpion ARMS method and the possible prognostic significance of plasma EGFR mutation status[J]. Int J Clin Exp Pathol,2015,8(10):13136-13145. |
| [12] | PFISTER D G,JOHNSON D H,AZZOLI C G,et al.American Society of Clinical Oncology treatment of unresectable non-small-cell lung cancer guideline:update 2003[J]. J Clin Oncol,2004,22(2):330-353. |
| [13] | 卢鉴财,黄俊,徐韫健,等. Super-ARMS法在检测非小细胞肺癌EGFR基因突变中的应用分析[J]. 热带医学杂志,2019,19(4):430-433. |
| [14] | 李顺君,左玥. 临床血液标本不合格的原因及干预措施有效性分析[J]. 检验医学与临床,2019,16(4):536-539. |
| [15] | 袁凤喜,薛雄燕,陈彩凤,等. 溶血对液相色谱串联质谱检测血浆中儿茶酚胺及其代谢产物的影响[J]. 检验医学,2018,33(12):1103-1107. |
| [16] | 沈克锋,杨默,江千里. 血液和骨髓标本中常见PCR反应抑制物的探究与分析[J]. 中国实验血液学杂志,2014,22(3):842-846. |
| [17] | OZDARENDELI A,TOROMAN Z A,BULUT Y,et al.Combined branched-DNA and conventional HBV PCR assays for detection of serum HBV-DNA in hepatitis B E antigen-positive chronic hepatitis B patients[J]. Hepatogastroenterology,2006,53(67):106-109. |
| [18] | 刘小敏,唐恒锋,李文郎,等. 高脂血、溶血标本对荧光定量聚合酶链反应测定低水平HBV-DNA的影响[J]. 检验医学与临床,2015,12(21):3217-3218. |
| [19] | PORTILHO M M,MARTINS P P,LAMPE E,et al.A comparison of molecular methods for hepatitis B virus(HBV) DNA detection from oral fluid samples[J]. J Med Microbiol,2012,61(Pt 6):844-851. |
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