CN110373466B - Marker combination and application thereof in preparation of colorectal cancer diagnostic reagent - Google Patents
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Abstract
Description
技术领域technical field
本发明属于生物医药领域,涉及一种标记物组合及其在制备结直肠癌诊断试剂中的应用和一种结直肠肿瘤的诊断试剂/试剂盒。The invention belongs to the field of biomedicine, and relates to a marker combination and its application in preparing a colorectal cancer diagnostic reagent and a colorectal tumor diagnostic reagent/kit.
背景技术Background technique
全球癌症统计数据预测2018年新发癌症病例1810万,死亡病例960万。结直肠癌(colorectal cancer,CRC)是一种常见的消化道恶性肿瘤,我国结直肠癌发病率和死亡率在全部恶性肿瘤中均居第3位,且发病率仍在上升。研究显示对有结直肠癌危险因素的个体进行筛查可以早期诊断癌症,降低死亡率,甚至可以通过发现和切除腺瘤来降低结直肠癌的发病率。美国早在20世纪80年代就开始推广结直肠癌的早期筛查,目前美国结直肠癌患者的5年生存率达到了90%,这说明了开展结直肠癌筛查对于降低发病率和死亡率具有重要的影响。Global cancer statistics predict 18.1 million new cancer cases and 9.6 million deaths in 2018. Colorectal cancer (CRC) is a common malignant tumor of the digestive tract. The incidence and mortality of colorectal cancer in my country ranks third among all malignant tumors, and the incidence is still rising. Studies have shown that screening individuals with risk factors for colorectal cancer can diagnose cancer earlier, reduce mortality, and even reduce the incidence of colorectal cancer by detecting and removing adenomas. The United States began to promote early screening of colorectal cancer as early as the 1980s. At present, the 5-year survival rate of colorectal cancer patients in the United States has reached 90%, which shows that the development of colorectal cancer screening can reduce morbidity and mortality. have an important impact.
中国对于结直肠癌的筛查采用二步筛查法,即先初筛确定高危人群,再对高危人群进行诊断性筛查。目前常用于高危人群的筛检方法有粪便潜血检测(FOBT)、病史症状高危因素问卷等,但这些方法的灵敏度较低。结肠镜检查依然是诊断结直肠癌的金标准,优点在于准确、可取活检进行病理学检查。但其存在一系列的缺点,如检查过程中需要注入气体,会使肠内压力增大,易引起穿孔,整个过程中给患者造成一定的不适和痛苦。再次,如果是麻醉肠镜还存在较大的麻醉风险。并且检查费用高,费时无法大规模推广。而粪便潜血等方法不够灵敏和特异,粪便基因检测甲基化的方法价格较高尚未普及。Colorectal cancer screening in China adopts a two-step screening method, that is, first screening to identify high-risk groups, and then performing diagnostic screening on high-risk groups. At present, screening methods commonly used in high-risk groups include fecal occult blood test (FOBT), medical history symptom high-risk factor questionnaire, etc., but these methods have low sensitivity. Colonoscopy remains the gold standard for diagnosing colorectal cancer, with the advantage of being accurate and biopsying for pathology. However, it has a series of shortcomings, such as the need to inject gas during the inspection process, which will increase the pressure in the intestine, easily cause perforation, and cause certain discomfort and pain to the patient during the whole process. Again, if it is anesthesia colonoscopy, there is still a greater risk of anesthesia. In addition, the inspection cost is high, which is time-consuming and cannot be promoted on a large scale. However, methods such as fecal occult blood are not sensitive and specific enough, and the methods for detecting methylation in fecal genes are relatively expensive and have not yet been popularized.
目前有多种报道标志物的联合使用对癌症进行筛查,例如Wang等报道标志物组织多肽特异性抗原(Tissue Polypeptide Specific Antigen,TPS)联合CEA,CA199,CA125和CA153来诊断转移性乳腺癌,TPS单独预测的灵敏度为50.0%,联合后灵敏度依然未达到80.0%(W.Wang et al.,The diagnostic value of serum tumor markers CEA,CA199,CA125,CA153,and TPS in metastatic breast cancer.Clinica chimica acta;international journal of clinical chemistry 470,51-55(2017)。另外,Zhang等报道循环CD14+CD204+M2样-单核细胞和血浆透明质酸(hyaluronan,HA)联合CEA、CA153来诊断乳腺癌,M2样-单核细胞单独预测乳腺癌的灵敏度为71.6%,联合后灵敏度为81.5%没有显著提高(B.Zhang et al.,Combination of plasma HA and circulating M2-likemonocytes may serve as a diagnostic marker for breast cancer.Journal ofCancer;8,3522-30(2017)。再例如,Fu等报道血小板分布宽度、纤维蛋白原联合CA153来诊断乳腺癌,联合后虽然特异性从67.4提高到82.9%,但灵敏度从94.5%下降到82.5%(S.Fuet al.,Cancer antigen 15-3,platelet distribution width,and fibrinogen incombination to distinguish breast cancer from benign breast disease in non-conclusive mammography patients.Oncotarget;8,67829-36(2017)。Kuo等报道标志物phospholipid scramblase 1(PLSCR1)联合CEA来诊断结直肠癌,联合后灵敏度从80%提高到85%,没有显著提升(Y.Kuo et al.,Identification of phospholipid scramblase1as a biomarker and determination of its prognostic value for colorectalcancer.Molecular medicine;17,41-47(2011)。Currently, a variety of reporter markers are used in combination to screen for cancer. For example, Wang et al. report markers Tissue Polypeptide Specific Antigen (TPS) combined with CEA, CA199, CA125 and CA153 to diagnose metastatic breast cancer. The sensitivity predicted by TPS alone was 50.0%, and the combined sensitivity still did not reach 80.0% (W. Wang et al., The diagnostic value of serum tumor markers CEA, CA199, CA125, CA153, and TPS in metastatic breast cancer. Clinica chimica acta ; international journal of clinical chemistry 470, 51-55 (2017). In addition, Zhang et al. reported circulating CD14+CD204+M2-like-monocytes and plasma hyaluronan (HA) combined with CEA and CA153 to diagnose breast cancer, The sensitivity of M2-like-monocytes alone in predicting breast cancer was 71.6%, and the combined sensitivity was 81.5% without significant improvement (B. Zhang et al., Combination of plasma HA and circulating M2-likemonocytes may serve as a diagnostic marker for breast Cancer.Journal of Cancer; 8, 3522-30 (2017). For another example, Fu et al. reported that platelet distribution width and fibrinogen combined with CA153 were used to diagnose breast cancer. Although the specificity increased from 67.4 to 82.9% after the combination, the sensitivity increased from 94.5 % dropped to 82.5% (S. Fuet al., Cancer antigen 15-3, platelet distribution width, and fibrinogen incombination to distinguish breast cancer from benign breast disease in non-conclusive mammography patients. Oncotarget; 8, 678 29-36 (2017) Kuo et al. reported that the marker phospholipid scramblase 1 (PLSCR1) was combined with CEA to diagnose colorectal cancer, and the combined sensitivity increased from 80% to 85% without significant improvement (Y.Kuo et al. al., Identification of phospholipid scramblase1 as a biomarker and determination of its prognostic value for colorectal cancer. Molecular medicine; 17, 41-47 (2011).
发明内容SUMMARY OF THE INVENTION
本发明目的之一在于提供一种在检测敏感性高、特异性强的结直肠肿瘤诊断的标记物组合。One of the objectives of the present invention is to provide a marker combination for the diagnosis of colorectal tumors with high detection sensitivity and high specificity.
本发明的进一步的目的在于提供一种检测敏感性高、特异性强结直肠肿瘤的诊断试剂/试剂盒。A further object of the present invention is to provide a diagnostic reagent/kit for detecting colorectal tumors with high sensitivity and specificity.
本发明还有一个目的在于提供一种结直肠肿瘤的诊断系统。Another object of the present invention is to provide a diagnostic system for colorectal tumors.
一方面,本发明首次提供了一种分子标记物组合,该分子标记物组合在血清中的检出量与结直肠肿瘤具有极高的对应关系。其检测结果的敏感性和特异性甚至可以分别达到100%。In one aspect, the present invention provides a molecular marker combination for the first time, and the detection amount of the molecular marker combination in serum has a very high corresponding relationship with colorectal tumors. The sensitivity and specificity of its detection results can even reach 100%, respectively.
本发明提供的这种特殊的分子标记物组合包括标记物RANTES和CEA的组合。This particular combination of molecular markers provided by the present invention includes the combination of markers RANTES and CEA.
RANTES是CC趋化因子家族中的成员之一,是由68个氨基酸组成的分子量为8kD的小分子蛋白,是一类调节正常T细胞表达和分泌的细胞因子,具有典型的趋化效应,介导受体极化和定向趋化T细胞、树突状细胞、NK细胞、嗜碱性粒细胞等的作用,其主要包括有CCR1、CCR3、CCR4和CCR5等相应受体,为一种典型的炎症源性趋化因子。趋化性细胞因子对白细胞的趋化作用是炎症反应过程中的重要起始步骤,也是机体防御和清除入侵病原体等异物先天性免疫功能的一个重要方面,参与多种炎症和免疫反应。RANTES is one of the members of the CC chemokine family. It is a small molecule protein composed of 68 amino acids with a molecular weight of 8kD. It is a class of cytokines that regulate the expression and secretion of normal T cells. It mainly includes the corresponding receptors such as CCR1, CCR3, CCR4 and CCR5, which is a typical Inflammation-derived chemokines. The chemotactic effect of chemotactic cytokines on leukocytes is an important initial step in the process of inflammatory response, and it is also an important aspect of the innate immune function of the body's defense and removal of foreign bodies such as invading pathogens, participating in a variety of inflammatory and immune responses.
本发明其中一个实施例中,所述的结直肠肿瘤诊断标记物组合,还包括标记物CA199和CA125中的一种或两种。In one embodiment of the present invention, the colorectal tumor diagnostic marker combination further includes one or both of the markers CA199 and CA125.
另一方面,本发明提供了所述的结直肠肿瘤诊断标记物组合的检测试剂在制备结直肠肿瘤诊断试剂或者试剂盒中的应用。In another aspect, the present invention provides an application of the detection reagent of the colorectal tumor diagnostic marker combination in the preparation of a colorectal tumor diagnostic reagent or kit.
其中一个实施例中,所述检测试剂为检测所述标记物的基因表达量。In one embodiment, the detection reagent is to detect the gene expression level of the marker.
其中一些实施例中,所述检测试剂为检测所述标记物的mRNA表达量。In some of these embodiments, the detection reagent is to detect the mRNA expression of the marker.
其中一些实施例中,所述检测试剂为检测所述标记物蛋白的表达量。In some of these embodiments, the detection reagent is to detect the expression level of the marker protein.
某些实施例中,所述检测试剂为荧光定量PCR染料、荧光定量PCR引物、荧光定量PCR探针、抗体、抗体功能性片段和偶联抗体中的一种或多种。In certain embodiments, the detection reagent is one or more of fluorescent quantitative PCR dyes, fluorescent quantitative PCR primers, fluorescent quantitative PCR probes, antibodies, antibody functional fragments and conjugated antibodies.
一些实施例中,所述的试剂盒选自qPCR试剂盒、免疫印迹检测试剂盒、免疫层析检测试剂盒、流式细胞分析试剂盒、免疫组化检测试剂盒、ELISA试剂盒和电化学发光检测试剂盒中的一种或多种。In some embodiments, the kit is selected from the group consisting of qPCR kits, western blot detection kits, immunochromatographic detection kits, flow cytometry kits, immunohistochemical detection kits, ELISA kits and electrochemiluminescence kits. One or more of the detection kits.
其中某些实施例中,所述的试剂盒选自ELISA试剂盒。其中一个实施例中,所述诊断试剂/试剂盒包含标记物RANTES和CEA的检测试剂。In some embodiments, the kit is selected from ELISA kits. In one embodiment, the diagnostic reagent/kit comprises detection reagents for the markers RANTES and CEA.
某些实施例中,所述诊断试剂/试剂盒还包含标记物CA199和CA125中的一种或两种的检测试剂。In certain embodiments, the diagnostic reagent/kit further comprises detection reagents for one or both of the markers CA199 and CA125.
其中一个实施例,所述检测试剂为检测所述标记物的基因表达量。In one embodiment, the detection reagent is to detect the gene expression level of the marker.
其中一个实施例,所述检测试剂为检测所述标记物的mRNA表达量。In one embodiment, the detection reagent is to detect the mRNA expression of the marker.
其中一个实施例,所述检测试剂为检测所述标记物蛋白的表达量。In one embodiment, the detection reagent is to detect the expression level of the marker protein.
其中一个实施例中,所述检测试剂为荧光定量PCR染料、荧光定量PCR引物、荧光定量PCR探针、抗体、抗体功能性片段和偶联抗体中的一种或多种。In one embodiment, the detection reagent is one or more of fluorescent quantitative PCR dyes, fluorescent quantitative PCR primers, fluorescent quantitative PCR probes, antibodies, antibody functional fragments and conjugated antibodies.
某些实施例中,所述的试剂盒选自qPCR试剂盒、免疫印迹检测试剂盒、免疫层析检测试剂盒、流式细胞分析试剂盒、免疫组化检测试剂盒、ELISA试剂盒和电化学发光检测试剂盒中的一种或多种。In certain embodiments, the kit is selected from the group consisting of qPCR kits, western blot detection kits, immunochromatographic detection kits, flow cytometry kits, immunohistochemical detection kits, ELISA kits and electrochemical detection kits. One or more of the luminescence detection kits.
其中一个实施例中,所述的试剂盒选自ELISA试剂盒。In one embodiment, the kit is selected from an ELISA kit.
还有一方面,本发明提供了一种结直肠肿瘤的诊断系统,所述的诊断系统含有:检测构件:所述的检测构件用以检测标记物组合中各标记物的表达量;结果判断构件:所述的结果判断构件用于根据检测构件所检测的标记物组合中各标记物的表达量的结果,输出肿瘤患者疾病结果;所述的标记物组合为标记物RANTES和CEA的组合。In another aspect, the present invention provides a diagnostic system for colorectal tumors, the diagnostic system comprising: a detection component: the detection component is used to detect the expression level of each marker in the marker combination; the result judgment component : The result judging component is used to output the disease result of the tumor patient according to the result of the expression level of each marker in the marker combination detected by the detection component; the marker combination is the combination of the markers RANTES and CEA.
某些实施例中,所述的标记物的表达量为基因表达量、mRNA表达量和或蛋白表达量中的一种或多种。In certain embodiments, the expression level of the marker is one or more of gene expression level, mRNA expression level and/or protein expression level.
某些实施例中,所述标记物的表达量为蛋白表达量。In certain embodiments, the expression level of the marker is the protein expression level.
作为一种可以选择的实施方式,所述的结果判断构件含有输入模块、分析模块和输出模块;输入模块用于输入所述标记物的表达量;分析模块用于根据所述标记物的表达量,分析出肿瘤患者疾病风险结果的可能性;输出模块用于输出分析模块的分析结果。As an optional embodiment, the result judging component includes an input module, an analysis module and an output module; the input module is used to input the expression level of the marker; the analysis module is used to input the expression level of the marker according to the expression level of the marker , to analyze the possibility of disease risk results of tumor patients; the output module is used to output the analysis results of the analysis module.
作为一个可以选择的实施方式,所述的检测构件含有qPCR试剂盒、免疫印迹检测试剂盒、流式细胞分析试剂盒、免疫组化检测试剂盒、ELISA试剂盒、qPCR仪、免疫印迹检测装置、流式细胞仪、免疫组化检测装置、ELISA检测装置、电化学发光检测装置中的一种或几种。As an optional embodiment, the detection component contains qPCR kit, western blot detection kit, flow cytometry analysis kit, immunohistochemical detection kit, ELISA kit, qPCR instrument, western blot detection device, One or more of flow cytometer, immunohistochemical detection device, ELISA detection device, and electrochemiluminescence detection device.
作为一种可以选择的实施方式,所述的检测构件为ELISA检测装置。As an optional embodiment, the detection component is an ELISA detection device.
其中一些实施例中,所述标记物组合中的标记物RANTES和CEA表达量的阈值分别为10915.666-12539.254ng/mL和1.84-3ng/mL。In some of the embodiments, the thresholds for the expression levels of the markers RANTES and CEA in the marker combination are 10915.666-12539.254 ng/mL and 1.84-3 ng/mL, respectively.
作为一种优选的实施方式,所述标记物组合中的标记物RANTES和CEA表达量的阈值分别为10958.308-12106.426ng/mL和1.875-2.03ng/mL;As a preferred embodiment, the thresholds of the expression levels of the markers RANTES and CEA in the marker combination are 10958.308-12106.426ng/mL and 1.875-2.03ng/mL, respectively;
作为进一步优选的实施方式,所述标记物组合中的标记物RANTES和CEA表达量的阈值分别为10994.238-11980.896.ng/mL和1.91-1.945ng/mL。As a further preferred embodiment, the thresholds for the expression levels of the markers RANTES and CEA in the marker combination are 10994.238-11980.896.ng/mL and 1.91-1.945ng/mL, respectively.
某些实施例中,所述的标记物组合还包括标记物CA199和CA125中的一种或两种。In certain embodiments, the marker combination further includes one or both of the markers CA199 and CA125.
作为一种可以选择的实施方式,所述标记物组合中的标记物CA199和CA125表达量的阈值分别为15.115-23.11U/mL和5.8-10.25U/mL。As an optional embodiment, the thresholds of the expression levels of the markers CA199 and CA125 in the marker combination are 15.115-23.11 U/mL and 5.8-10.25 U/mL, respectively.
作为一种优选的实施方式,所述标记物组合中的标记物CA199和CA125表达量的阈值分别为18.42-22.115U/mL和5.8-9.4U/mL。As a preferred embodiment, the thresholds of the expression levels of the markers CA199 and CA125 in the marker combination are 18.42-22.115 U/mL and 5.8-9.4 U/mL, respectively.
作为一种更为优选的实施方式,所述标记物组合中的标记物CA199和CA125表达量的阈值分别为18.8-21.17U/mL和5.8-7.85U/mL。As a more preferred embodiment, the thresholds of the expression levels of the markers CA199 and CA125 in the marker combination are 18.8-21.17 U/mL and 5.8-7.85 U/mL, respectively.
其中一个实施例中,所述的结果判断构件中,当所述标记物组合中任一标记物的表达量高于阈值时,则判断结直肠肿瘤患病为阳性;当所述标记物组合中所有标记物的表达量低于阈值时,则判断结直肠肿瘤患病阴性。In one embodiment, in the result judging component, when the expression level of any marker in the marker combination is higher than a threshold, it is determined that the colorectal tumor is positive; when the marker combination contains When the expression levels of all markers were lower than the threshold, it was judged that the colorectal tumor was negative.
本发明的检测试剂或试剂盒,仅需一次取样,检测出血液中所述标记物组合的各标记物的含量,对于检测结果按照所述方法进行归类:对于普遍的结直肠肿瘤,当检测到所述标记物组合中任一标记物的表达量高于阈值时,则判断结直肠肿瘤患病为阳性,此时的检测灵敏度可以达到98.9%(早期结直肠癌的检测灵敏度甚至可以达到100%);当检测到所述标记物组合中所有标记物的表达量低于阈值时,则判断结直肠肿瘤患病阴性,此时的检测特异性为100%。从而利用本发明的检测试剂或试剂盒,仅需一次取样,能够使得接受身体检查的患者或者健康人的检测结果具有极高准确度,不会出现漏诊或者误诊,无需等待待检结果,再进行确诊。The detection reagent or kit of the present invention only needs one sampling to detect the content of each marker in the combination of markers in the blood, and the detection results are classified according to the method: for common colorectal tumors, when the detection When the expression of any marker in the marker combination is higher than the threshold, it is judged that the colorectal tumor is positive, and the detection sensitivity at this time can reach 98.9% (the detection sensitivity of early colorectal cancer can even reach 100%). %); when it is detected that the expression levels of all markers in the marker combination are lower than the threshold value, the colorectal tumor is judged to be negative, and the detection specificity at this time is 100%. Therefore, by using the detection reagent or kit of the present invention, only one sampling is required, so that the detection results of patients or healthy persons undergoing physical examination can be extremely accurate, and no missed diagnosis or misdiagnosis will occur, and there is no need to wait for the results to be tested before proceeding. Diagnosed.
目前,无论是组织样本还是粪便样本,抑或是本发明中的血清样本,其灵敏度不同的标记物其高低不等,但普遍都偏低。特异性低,则健康人误诊为病患者的概率高,而这将给这些健康者增加极大的心理负担和压力;灵敏度低,则会导致患者漏诊的概率高,这也不利于结直肠癌的及时发现,为患者争取时间,尽早开始治疗,提高患者的生存率,降低死亡率。At present, whether it is a tissue sample, a stool sample, or a serum sample in the present invention, markers with different sensitivities vary, but are generally low. If the specificity is low, the probability of misdiagnosing healthy people as sick patients is high, which will add great psychological burden and pressure to these healthy people; the sensitivity is low, which will lead to a high probability of missed diagnosis, which is not conducive to colorectal cancer. Timely detection, buy time for patients, start treatment as soon as possible, improve the survival rate of patients and reduce mortality.
而本发明首次发现的标记物组合的检测试剂形成的结直肠肿瘤的诊断试剂或试剂盒刚好能够解决所述问题。The diagnostic reagent or kit for colorectal tumor formed by the detection reagent of the combination of markers discovered for the first time in the present invention can just solve the problem.
即本发明的结直肠肿瘤诊断试剂或者试剂盒同时具有极高的灵敏度和特异性;这在临床上是非常难得的,例如现有技术中,以SEPT9基因甲基化检测筛查结直肠癌,灵敏度为69%,特异性为86%;以粪便SDC2基因甲基化检测可以筛查出81.1%的结直肠癌患者,且价格昂贵。本发明的结直肠肿瘤诊断试剂或者试剂盒因具有极高的灵敏度和特异性,可用于结直肠癌的早期发现,为患者争取时间,尽早开始治疗,提高患者的生存率,降低死亡率,减轻我国的医疗负担具有重大的意义。That is, the colorectal tumor diagnostic reagent or kit of the present invention has extremely high sensitivity and specificity at the same time; this is very rare in clinical practice. For example, in the prior art, colorectal cancer is screened by SEPT9 gene methylation detection, The sensitivity is 69% and the specificity is 86%; 81.1% of colorectal cancer patients can be screened by fecal SDC2 gene methylation detection, and it is expensive. The colorectal tumor diagnostic reagent or kit of the present invention can be used for early detection of colorectal cancer because of its extremely high sensitivity and specificity, buy time for patients, start treatment as soon as possible, improve the survival rate of patients, reduce mortality, and alleviate The medical burden in our country is of great significance.
某些实施例中,所述诊断所针对的样品为组织、体液或排泄物。In certain embodiments, the sample for which the diagnosis is made is tissue, body fluid or excreta.
其中一个实施例中,所述组织为肠组织。In one embodiment, the tissue is intestinal tissue.
某些实施例中,所述体液为血液、细胞外液、组织液、淋巴液、脑脊液或房水。In certain embodiments, the body fluid is blood, extracellular fluid, tissue fluid, lymph fluid, cerebrospinal fluid, or aqueous humor.
作为一种优选的实施方式,所述体液为血液。As a preferred embodiment, the body fluid is blood.
作为一种更为优选的实施方式,所述体液为血浆。As a more preferred embodiment, the body fluid is plasma.
某些实施例中,所述排泄物为痰、唾液、尿液或粪便。In certain embodiments, the excrement is sputum, saliva, urine or feces.
本发明中,所述的结直肠肿瘤为I、II、III、IV期结直肠癌、癌前腺瘤。In the present invention, the colorectal tumor is stage I, II, III, and IV colorectal cancer and precancerous adenoma.
作为一种优选的实施方式,所述结直肠肿瘤为I-II期结直肠癌,即早期结直肠癌。As a preferred embodiment, the colorectal tumor is stage I-II colorectal cancer, that is, early-stage colorectal cancer.
与现有技术相比,上述技术方案中的一个技术方案具有以下有益效果:Compared with the prior art, one of the above-mentioned technical solutions has the following beneficial effects:
1、血液标志物检测有着取样方便、无创的优势,为结直肠癌筛查、诊断、监测和预后判断提供了更快捷的途径。1. Blood marker detection has the advantages of convenient sampling and non-invasiveness, and provides a faster way for colorectal cancer screening, diagnosis, monitoring and prognosis judgment.
2、本发明将血清中的标记物RANTES和CEA进行组合,发现其与结直肠癌具有极高的关联度,其灵敏度可以达到98.9%,特异性甚至高达100%;对于早期结直肠癌的诊断也具有较高的灵敏度和特异性,其灵敏度甚至可以达到100%,即本发明的结直肠肿瘤诊断试剂或者试剂盒具有极高的灵敏度和特异性;这在临床上是非常难得的,可用于结直肠癌的早期发现,为患者争取时间,尽早开始治疗,提高患者的生存率,降低死亡率,减轻我国的医疗负担具有重大的意义。2. The present invention combines the markers RANTES and CEA in serum, and it is found that it has a very high correlation with colorectal cancer, its sensitivity can reach 98.9%, and its specificity can even be as high as 100%; for the diagnosis of early colorectal cancer It also has high sensitivity and specificity, and its sensitivity can even reach 100%, that is, the colorectal tumor diagnostic reagent or kit of the present invention has extremely high sensitivity and specificity; this is very rare in clinical practice and can be used for The early detection of colorectal cancer is of great significance to buy time for patients, start treatment as soon as possible, improve the survival rate of patients, reduce mortality, and reduce the medical burden in our country.
附图说明Description of drawings
图1为协同模型中CEA联合RANTES预测CRC的ROC曲线。Figure 1 shows the ROC curve of CEA combined with RANTES to predict CRC in the synergy model.
图2为协同模型中CEA、CA199、RANTES联合预测CRC的ROC曲线。Figure 2 shows the ROC curve of CEA, CA199, and RANTES jointly predicting CRC in the synergistic model.
图3为协同模型中CEA、CA125、RANTES联合预测CRC的ROC曲线。Figure 3 shows the ROC curve of CEA, CA125, and RANTES jointly predicting CRC in the synergy model.
图4为协同模型中RANTES联合CEA、CA125、CA199三种肿瘤标志物预测CRC的ROC曲线。Figure 4 shows the ROC curve of RANTES combined with CEA, CA125, and CA199 three tumor markers for predicting CRC in the synergistic model.
图5为合成模型中CEA联合RANTES预测CRC的ROC曲线。Figure 5 shows the ROC curve of CEA combined with RANTES to predict CRC in the synthetic model.
图6为合成模型中CEA、CA199、RANTES联合预测CRC的ROC曲线。Figure 6 is the ROC curve of the combined prediction of CRC by CEA, CA199, and RANTES in the synthetic model.
图7为合成模型中CEA、CA125、RANTES联合预测CRC的ROC曲线。Figure 7 is the ROC curve of the combined prediction of CRC by CEA, CA125, and RANTES in the synthetic model.
图8为合成模型中RANTES联合CEA、CA125、CA199三种肿瘤标志物预测CRC的ROC曲线。Figure 8 is the ROC curve of RANTES combined with three tumor markers CEA, CA125 and CA199 in the synthetic model to predict CRC.
图9为协同模型中组合RANTES/CEA、RANTES/CEA/CA199、RANTES/CEA/CA125、RANTES/CEA/CA125/CA199分别预测早期CRC的ROC曲线。Figure 9 shows the ROC curves of the combined RANTES/CEA, RANTES/CEA/CA199, RANTES/CEA/CA125, and RANTES/CEA/CA125/CA199 in the synergy model to predict early CRC, respectively.
具体实施方式Detailed ways
以下通过具体的实施例进一步说明本发明的技术方案,具体实施例不代表对本发明保护范围的限制。其他人根据本发明理念所做出的一些非本质的修改和调整仍属于本发明的保护范围。The technical solutions of the present invention are further described below through specific embodiments, which do not represent limitations on the protection scope of the present invention. Some non-essential modifications and adjustments made by others according to the concept of the present invention still belong to the protection scope of the present invention.
TP(True Positive)真阳性:预测为阳性,实际也为阳性。TP (True Positive) True Positive: Predicted to be positive and actually positive.
FP(False Positive)假阳性:预测为阳性,实际为阴性。FP (False Positive): Predicted to be positive, but actually negative.
FN(False Negative)假阴性:预测为阴性,实际为阳性。FN (False Negative): Predicted to be negative, but actually positive.
TN(True Negative)真阴性:预测为阴性,实际也为阴性。TN (True Negative) True Negative: Predicted to be negative and actually negative.
本发明中,灵敏度同敏感度。In the present invention, the sensitivity is the same as the sensitivity.
术语“诊断试剂/试剂盒”可以为诊断试剂,也可以为诊断试剂盒。The term "diagnostic reagent/kit" can be either a diagnostic reagent or a diagnostic kit.
结直肠癌:Colorectal cancer,CRC。Colorectal Cancer: Colorectal cancer, CRC.
标记物组合中标记物表达量的阈值:本发明用的标记物组合中标记物的表达量阈值来界定结直肠肿瘤患病与否,即高于既定的阈值,则结直肠肿瘤阳性;低于既定的阈值则结直肠肿瘤阴性;而本发明中出现的阈值,是对应于上述一个实施例中约登指数而确定的。Threshold of marker expression in the marker combination: the expression threshold of the marker in the marker combination used in the present invention defines whether the colorectal tumor is diseased or not, that is, if it is higher than the predetermined threshold, the colorectal tumor is positive; The predetermined threshold is negative for colorectal tumor; and the threshold in the present invention is determined corresponding to the Youden index in the above-mentioned embodiment.
协同模型(A/B):代表“A或B”,其灵敏度表示标志物A或B任何一项标志物检测结果数值高于cutoff值的患者数占全部患者数的百分比;其特异性表示标志物A或B任何一项标志物检测结果低于cutoff值的健康者的数目占全部健康者数目的百分比。Synergy model (A/B): Represents "A or B", and its sensitivity indicates the percentage of patients whose detection results for either marker A or B are higher than the cutoff value in the total number of patients; its specificity indicates the marker The percentage of healthy people whose detection result of any one of marker A or B is lower than the cutoff value in the total number of healthy people.
合成模型(A-B):代表“A和B”,其灵敏度表示标志物A和B检测结果数值同时高于cutoff值的患者数占全部患者数的百分比;其特异性表示标志物A和B检测结果数值同时低于cutoff值的健康者的数目占全部健康者数目的百分比。Synthetic model (A-B): Represents "A and B", and its sensitivity represents the percentage of patients with marker A and B detection results that are both higher than the cutoff value in the total number of patients; its specificity represents the detection results of markers A and B The percentage of healthy people whose value is lower than the cutoff value at the same time as a percentage of the total number of healthy people.
约登指数=灵敏度+特异性-1。Youden index=sensitivity+specificity-1.
本发明实施例3-7中的临床样本为实施例1中所述的样本。The clinical samples in Examples 3-7 of the present invention are the samples described in Example 1.
数据分析data analysis
使用R语言对数据进行统计分析。所有数据均不服从正态分布,选择中位数和四分位数表示。用Spearman相关性检验检测各指标在患者和健康对照人群中是否具有显著的统计学差异。组间肿瘤标志物表达差异分析选择Mann-Whitney U检验。为了研究不同肿瘤标志物和RANTES的诊断效能,分别绘制ROC曲线来评价其预测能力。Statistical analysis of the data was performed using the R language. All data were not subject to normal distribution, and medians and quartiles were chosen. The Spearman correlation test was used to detect whether each index had significant statistical difference between patients and healthy controls. The Mann-Whitney U test was used to analyze the differences in tumor marker expression between groups. In order to study the diagnostic performance of different tumor markers and RANTES, ROC curves were drawn to evaluate their predictive ability.
另外,选择约登指数最大的一点对应的水平作为其cutoff值,即最佳概率划分阈值通过约登指数最大的一点确定。根据确定的概率划分阈值,可以计算得出每种联合检测方案在训练组和验证组的灵敏度、特异性、阳性预测值、阴性预测值等。In addition, the level corresponding to the point with the largest Youden index is selected as its cutoff value, that is, the optimal probability division threshold is determined by the point with the largest Youden index. According to the determined probability division threshold, the sensitivity, specificity, positive predictive value, negative predictive value, etc. of each combined detection scheme in the training group and the validation group can be calculated.
通过二元Logistic回归分析得到指标联合检测的ROC曲线,对比曲线下面积得到最佳联合检测方案。p<0.05时具有统计学差异。The ROC curve of the combined detection of the indicators was obtained by binary logistic regression analysis, and the optimal combined detection scheme was obtained by comparing the area under the curve. Statistical difference at p<0.05.
关于灵敏度、特异性、阳性预测值、阴性预测值的计算方法如表3所示:The calculation methods for sensitivity, specificity, positive predictive value, and negative predictive value are shown in Table 3:
表1 灵敏度、特异性、阳性预测值、阴性预测值的计算方法Table 1 Calculation methods of sensitivity, specificity, positive predictive value, and negative predictive value
标志物的灵敏度计算方法为:检测结果数值高于cutoff值的患者数占全部患者数的百分比。The sensitivity of the marker is calculated as: the percentage of patients whose detection result value is higher than the cutoff value in the total number of patients.
标志物的特异性计算方法为:检测结果低于cutoff值的健康者的数目占全部健康者数目的百分比。The specificity calculation method of the marker is: the percentage of healthy persons whose detection result is lower than the cutoff value in the total number of healthy persons.
实施例1样本来源与分析Example 1 Sample source and analysis
收集从2018年9月到2018年12月在中山大学附属第六医院诊断为结直肠癌的患者87例(I、II、III、IV期),均有明确的影像学及病理学检查确诊,全部病理结果由组织活检取得。患者无严重的脏器疾病,且未进行化疗、放疗及手术治疗。从同期健康体检人群中收集90例作为对照,健康对照纳入标准为血常规和生化全套检测结果均无明显异常,无乙肝等传染性疾病。基本信息如表2所示。所有血液样本使用EDTA抗凝管采集,在室温下6小时内完成血浆分离,3000转/分钟离心2分钟,转移血浆于1.7mL EP管中后立即放置于-80℃冰箱内保存备用。A total of 87 patients (I, II, III, IV) who were diagnosed with colorectal cancer in the Sixth Affiliated Hospital of Sun Yat-sen University from September 2018 to December 2018 were collected. All of them were confirmed by imaging and pathological examinations. All pathological results were obtained by tissue biopsy. The patient had no serious organ disease, and did not receive chemotherapy, radiotherapy, or surgery. A total of 90 cases were collected from the healthy physical examination population during the same period as controls. The inclusion criteria for healthy controls were that there were no obvious abnormalities in the results of routine blood and biochemical tests, and no infectious diseases such as hepatitis B. The basic information is shown in Table 2. All blood samples were collected using EDTA anticoagulation tubes. Plasma separation was completed within 6 hours at room temperature, centrifuged at 3000 rpm for 2 minutes, and the plasma was transferred into 1.7 mL EP tubes and immediately placed in a -80°C refrigerator for future use.
各个肿瘤标志物均在患者治疗前检测,使用化学发光酶免疫分析(CLEIA)的方法测定,所有实验在中山大学附属第六医院检验科完成。All tumor markers were detected before treatment, and were determined by chemiluminescence enzyme immunoassay (CLEIA). All experiments were completed in the Laboratory Department of the Sixth Affiliated Hospital of Sun Yat-sen University.
表2 结直肠癌患者基本信息Table 2 Basic information of colorectal cancer patients
实施例2肿瘤标志物含量测定方法Embodiment 2 Determination method of tumor marker content
本发明中RANTES的含量采用酶联免疫吸附试验(ELISA)检测,选用商品化试剂盒RayBiotech Human RANTES ELISA Kit、Biotek Elx800酶标仪450nm、Biotek Elx50洗板机、移液器、小离心管、去离子水、Sigmaplot分析软件等。CEA、CA125、CA199的含量采用化学发光酶免疫法(CLEIA)于雅培I2000完成检测。The content of RANTES in the present invention is detected by enzyme-linked immunosorbent assay (ELISA), and commercial kits such as RayBiotech Human RANTES ELISA Kit, Biotek Elx800 microplate reader 450nm, Biotek Elx50 plate washer, pipette, small centrifuge tube, Ionized water, Sigmaplot analysis software, etc. The contents of CEA, CA125 and CA199 were detected by chemiluminescence enzyme immunoassay (CLEIA) on Abbott I2000.
(1)将试剂盒以及样品平衡至室温(18-25℃);(1) Equilibrate the kit and sample to room temperature (18-25°C);
(2)稀释液使用去离子水稀释5倍备用;(2) The diluent is diluted 5 times with deionized water for subsequent use;
(3)血浆样本稀释40倍备用;(3) The plasma sample is diluted 40 times for use;
(4)标准品准备:离心标准品小管,然后加入400μL 1×稀释液到标准品小管中,混合均匀后即为50ng/mL的标准品贮存液;吸取40μL标准品贮存液加入含有960μL1×稀释液的离心管内,混匀,标记为STD1;准备8个1.5mL小离心管,分别加入400μL 1×稀释液缓冲液,之后依次标记为STD2、STD3、STD4、STD5、STD6、STD7、STD8、STD9;然后用2000pg/mL的STD1梯度稀释标准品,取200μL 2000pg/mL的STD1加入STD2小管中,混匀后取该管中200μL溶液加入到STD3小管中后混匀,依次配制好STD8,STD9是400μL 1×稀释液即标准品0pg/mL;(4) Standard preparation: Centrifuge the standard tube, then add 400 μL of 1× dilution solution to the standard tube, and mix it evenly to obtain 50 ng/mL standard stock solution; pipette 40 μL of standard stock solution and add 960 μL of 1× dilution solution 1.5mL centrifuge tubes were prepared, and 400μL of 1× diluent buffer was added to each, and then labeled as STD2, STD3, STD4, STD5, STD6, STD7, STD8, STD9 ; Then use 2000pg/mL of STD1 gradient dilution standard, take 200μL 2000pg/mL STD1 into STD2 small tube, after mixing, take 200μL solution in this tube and add it to STD3 small tube and mix well, prepare STD8 in turn, STD9 is
(5)洗液稀释:用去离子水将浓缩洗液稀释20倍备用;(5) dilution of washing liquid: dilute the concentrated washing liquid 20 times with deionized water for subsequent use;
(6)离心检测抗体小管,加入100μL 1×稀释液充分溶解,用移液器上下轻轻吹打,然后用1×稀释液稀释80倍后使用;(6) Centrifuge the detection antibody vial, add 100 μL of 1× diluent to fully dissolve, gently pipette up and down with a pipette, and then use it after diluting 80 times with 1× diluent;
(7)离心HRP-链霉亲和素,然后用1×稀释液稀释300倍后使用;(7) Centrifuge HRP-streptavidin, and then use it after diluting 300 times with 1× diluent;
(8)已经包被抗体的ELISA板平衡至室温后,在对应的孔加入100μL配制好的标准品及样品,用封板膜封住整块板条,4℃孵育过夜;(8) After the antibody-coated ELISA plate is equilibrated to room temperature, add 100 μL of prepared standards and samples to the corresponding wells, seal the entire plate with a sealing film, and incubate at 4°C overnight;
(9)将配制好的1×洗液添加到洗板机上,用洗板机清洗板条4次,每孔加入300μL洗液;(9) Add the prepared 1× washing solution to the plate washer, wash the strips 4 times with the plate washer, and add 300 μL of the washing solution to each well;
(10)洗板干净后,每孔加入100μL配制好的检测抗体(生物素标记抗体),室温孵育1h;(10) After washing the plate, add 100 μL of the prepared detection antibody (biotin-labeled antibody) to each well, and incubate at room temperature for 1 h;
(11)清洗步骤同9;(11) cleaning step is the same as 9;
(12)每孔加入100μL配制好的HRP-链霉亲和素室温孵育45min;(12) Add 100 μL of prepared HRP-streptavidin to each well and incubate at room temperature for 45 minutes;
(13)清洗步骤同9;(13) cleaning step is the same as 9;
(14)加入100μL TMB显色液至每孔中,室温避光孵育30min;(14) Add 100 μL of TMB chromogenic solution to each well, and incubate at room temperature for 30 minutes in the dark;
(15)加入50μL终止液至每孔,立即在酶标仪450nm读数;(15) Add 50 μL of stop solution to each well, and immediately read on the microplate reader at 450 nm;
(16)用Sigmaplot 12.0软件计算浓度值。(16) Calculate the concentration value with Sigmaplot 12.0 software.
实施例3肿瘤标志物对结直肠癌的诊断效能测试结果Example 3 Results of the diagnostic efficacy test of tumor markers for colorectal cancer
1、以CEA,CA125,CA199以及RANTES为肿瘤标志物,以实施例2的测量方法检测实施例1中样本所得出对应的约登指数和cutoff值见表3。1. With CEA, CA125, CA199 and RANTES as tumor markers, the corresponding Youden index and cutoff value obtained by detecting the samples in Example 1 by the measurement method of Example 2 are shown in Table 3.
表3 CEA、CA125、CA199、RANTES对应的约登指数最大值和cutoff值Table 3 The maximum value and cutoff value of Youden index corresponding to CEA, CA125, CA199 and RANTES
2、指标联合预测CRC的诊断效能2. Indicators combined to predict the diagnostic efficacy of CRC
CEA,CA125,CA199,RANTES各种联合方案检测实施例1中样本的结直肠癌诊断效能比较。其中,所述数据是针对实施例1中的87个结直肠癌患者和90个健康对照计算得出。Comparison of the diagnostic efficacy of CEA, CA125, CA199, and RANTES in the detection of colorectal cancer of the samples in Example 1 by various combination schemes. Wherein, the data are calculated for 87 colorectal cancer patients and 90 healthy controls in Example 1.
ROC曲线通过Logistic回归得出,其中,自变量为对应的指标,因变量为患癌情况,通过拟合出的回归曲线可以计算出每个个体患癌与否的概率,确定不同的概率划分阈值即可得到预测结果。The ROC curve is obtained by Logistic regression, in which the independent variable is the corresponding index, and the dependent variable is the cancer situation. Through the fitted regression curve, the probability of each individual suffering from cancer can be calculated, and different probability division thresholds can be determined, namely Prediction results are available.
最佳概率划分阈值通过约登指数最大的一点确定。根据确定的概率划分阈值,可以计算得出每种联合检测方案在训练组和验证组的灵敏度、特异性、阳性预测值、阴性预测值等。The optimal probability division threshold is determined by the point with the largest Youden exponent. According to the determined probability division threshold, the sensitivity, specificity, positive predictive value, negative predictive value, etc. of each combined detection scheme in the training group and the validation group can be calculated.
(1)指标以协同模型(A/B)联合预测CRC的诊断效能(1) The index predicts the diagnostic efficacy of CRC jointly with the synergistic model (A/B)
灵敏度计算方法为:任何一项标志物检测结果数值高于cutoff值的患者数占全部患者数的百分比;The calculation method of sensitivity is: the percentage of patients whose detection result of any marker is higher than the cutoff value in the total number of patients;
特异性计算方法为:任何一项标志物检测结果低于cutoff值的健康者的数目占全部健康者数目的百分比。The specificity calculation method is as follows: the percentage of healthy persons whose detection result of any one marker is lower than the cutoff value in the total number of healthy persons.
ROC曲线见图1、图2、图3、图4,结果见表4。The ROC curves are shown in Figure 1, Figure 2, Figure 3, and Figure 4, and the results are shown in Table 4.
表4 指标以协同模型联合预测CRC的诊断效能Table 4 The diagnostic efficacy of the indicators combined with the synergistic model to predict CRC
从表4中的实验结果可知,含RANTES与CEA协同模型联合预测CRC,其灵敏度可以高达98.9%。From the experimental results in Table 4, it can be seen that the synergistic model containing RANTES and CEA jointly predicts CRC, and its sensitivity can be as high as 98.9%.
(2)指标以合成模型(A-B)联合预测CRC的诊断效能(2) The index predicts the diagnostic performance of CRC jointly with the synthetic model (A-B)
1)灵敏度计算方法为:各项标志物检测数值同时高于cutoff值的患者数占全部患者数的百分比;1) The sensitivity calculation method is: the percentage of patients whose detection value of each marker is higher than the cutoff value in the total number of patients;
2)特异性计算方法为:各项标志物检测数值同时低于cutoff值的健康者的数目占全部健康者数目的百分比。2) The specificity calculation method is as follows: the percentage of the number of healthy persons whose detection value of each marker is lower than the cutoff value in the total number of healthy persons.
ROC曲线见图5、图6、图7、图8,结果见表5。The ROC curves are shown in Figure 5, Figure 6, Figure 7, and Figure 8, and the results are shown in Table 5.
表5 指标以合成模型联合预测CRC的诊断效能Table 5 The diagnostic performance of the indicators combined with the synthetic model to predict CRC
从表5的实验结果可知,含RANTES与CEA的合成模型联合预测CRC,其特异性可以高达100%。From the experimental results in Table 5, it can be seen that the synthetic model containing RANTES and CEA jointly predicts CRC, and its specificity can be as high as 100%.
实施例4肿瘤标志物对结直肠癌的诊断效能测试结果Example 4 Results of the diagnostic efficacy test of tumor markers for colorectal cancer
选取的各个指标的cutoff值,如表6所示;除了选取的cutoff值不同,其他的都与实施例3相同,相应的检测的结果如表7、8所示。The cutoff values of the selected indicators are shown in Table 6; except that the selected cutoff values are different, others are the same as in Example 3, and the corresponding detection results are shown in Tables 7 and 8.
表6 CEA、CA125、CA199、RANTES的cutoff值Table 6 Cutoff values of CEA, CA125, CA199, RANTES
表7 指标以协同模型联合预测CRC的诊断效能Table 7 The diagnostic performance of the indicators combined with the synergistic model to predict CRC
表8 指标以合成模型联合预测CRC的诊断效能Table 8 The diagnostic performance of indicators combined with synthetic models to predict CRC
实施例5肿瘤标志物对结直肠癌的诊断效能测试结果Example 5 Results of the diagnostic efficacy test of tumor markers for colorectal cancer
选取的各个指标的cutoff值,如表9所示;除了选取的cutoff值不同,其他的都与与实施例3相同,相应的检测的结果如表10、11所示。The cutoff values of the selected indicators are shown in Table 9; except that the selected cutoff values are different, others are the same as in Example 3, and the corresponding detection results are shown in Tables 10 and 11.
表9 CEA、CA125、CA199、RANTES的cutoff值Table 9 Cutoff values of CEA, CA125, CA199, RANTES
表10 指标以协同模型联合预测CRC的诊断效能Table 10 The diagnostic performance of the indicators in the joint prediction of CRC with the synergistic model
表11 指标以合成模型联合预测CRC的诊断效能Table 11 The diagnostic performance of the indicators combined with the synthetic model to predict CRC
实施例6肿瘤标志物对结直肠癌的诊断效能测试结果Example 6 Results of the diagnostic efficacy test of tumor markers for colorectal cancer
选取的各个指标的cutoff值,如表12所示;除了选取的cutoff值不同,其他的都与与实施例3相同,相应的检测的结果如表13、14所示。The cutoff values of the selected indicators are shown in Table 12; except that the selected cutoff values are different, others are the same as those in Example 3, and the corresponding detection results are shown in Tables 13 and 14.
表12 CEA、CA125、CA199、RANTES的cutoff值Table 12 Cutoff values of CEA, CA125, CA199, RANTES
表13 指标以协同模型联合预测CRC的诊断效能Table 13 The diagnostic performance of the indicators in the joint prediction of CRC with the synergistic model
表14 指标以合成模型联合预测CRC的诊断效能Table 14. The diagnostic performance of the indicators combined with the synthetic model to predict CRC
实施例7肿瘤标志物对早期结直肠癌的诊断效能测试结果Example 7 Results of the diagnostic efficacy test of tumor markers for early colorectal cancer
从实施例1的样本中选取早期结直肠癌样本,其采用实施例3中的测试方式,测试肿瘤标志物对早期结直肠癌的诊断效能相同。检测的结果如表15所示。Early-stage colorectal cancer samples were selected from the samples in Example 1, and the test methods in Example 3 were used, and the test tumor markers had the same diagnostic performance for early-stage colorectal cancer. The test results are shown in Table 15.
表15 指标协同模型联合预测早期CRC的诊断效能Table 15. The diagnostic efficacy of the index synergy model jointly predicting early CRC
ROC曲线见图9,结果见表15,从实验结果可知,含RANTES与CEA协同模型联合预测CRC,其灵敏度可以高达100%。The ROC curve is shown in Figure 9, and the results are shown in Table 15. It can be seen from the experimental results that the combined model containing RANTES and CEA can predict CRC, and its sensitivity can be as high as 100%.
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