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CN116246795A - Application of a model based on peripheral blood biomarkers in predicting the efficacy of upper gastrointestinal cancer chemotherapy - Google Patents

Application of a model based on peripheral blood biomarkers in predicting the efficacy of upper gastrointestinal cancer chemotherapy Download PDF

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CN116246795A
CN116246795A CN202310533252.XA CN202310533252A CN116246795A CN 116246795 A CN116246795 A CN 116246795A CN 202310533252 A CN202310533252 A CN 202310533252A CN 116246795 A CN116246795 A CN 116246795A
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李宁宁
王颖轶
高立伟
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Peking Union Medical College Hospital Chinese Academy of Medical Sciences
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Abstract

The invention provides an application of a model constructed based on peripheral blood biomarkers in predicting upper gastrointestinal tumor chemotherapy efficacy. The peripheral blood biomarker is selected from hemoglobin, eosinophils and CD4 + T cell, memory CD4 + T cells, CD8 + T cells, CD4CD28 + T cells, CD4CD28 + T/CD4 + T cell ratio, CD8CD28 + One or more of T cells, ELR, leucocytes, platelets, neutrophils and monocytes, wherein the tumor of the upper digestive tract is esophageal cancer, gastric cancer or gastroesophageal junction cancer. The invention establishes a prediction model aiming at the upper gastrointestinal tumor chemotherapy curative effect, and the adopted peripheral blood detection index is low in cost, time-saving, convenient for clinical operation and dynamic monitoring, and has important clinical significance and wide applicability.

Description

基于外周血生物标志物构建的模型在预测上消化道肿瘤化疗 疗效中的应用Application of models based on peripheral blood biomarkers in predicting the efficacy of chemotherapy for upper gastrointestinal tumors

技术领域Technical Field

本发明属于生物技术领域,特别涉及基于外周血生物标志物构建的模型在预测上消化道肿瘤化疗疗效中的应用。The present invention belongs to the field of biotechnology, and particularly relates to the application of a model constructed based on peripheral blood biomarkers in predicting the efficacy of chemotherapy for upper digestive tract tumors.

背景技术Background Art

上消化道肿瘤是世界范围内最常见的恶性肿瘤,其包括食管癌、胃癌等。早期食管癌、胃癌手术切除有治愈可能,但仅30-40%的患者在就诊时为潜在可切除病变,即有60%以上的患者已处于局部晚期或已出现远处转移,预后不佳。对于不可切除的食管癌和胃癌,目前主要治疗方法为化疗、靶向治疗、免疫检查点抑制剂治疗等;对于进展期食管癌及胃癌,这些治疗手段的疗效均有限。治疗后转移性食管癌及胃癌的中位生存期仅10-13个月左右。Upper gastrointestinal tumors are the most common malignant tumors in the world, including esophageal cancer and gastric cancer. Surgical resection of early esophageal cancer and gastric cancer may be curative, but only 30-40% of patients have potentially resectable lesions when they seek medical treatment, that is, more than 60% of patients are already in the local advanced stage or have distant metastasis, and the prognosis is poor. For unresectable esophageal cancer and gastric cancer, the main treatment methods are currently chemotherapy, targeted therapy, immune checkpoint inhibitor therapy, etc.; for advanced esophageal cancer and gastric cancer, the efficacy of these treatments is limited. The median survival of metastatic esophageal cancer and gastric cancer after treatment is only about 10-13 months.

目前,对于进展期或晚期食管癌、胃癌患者,化疗仍然是所有治疗方案的基础用药。目前主要的联合化疗方案为针对食管癌的紫杉醇联合铂类,针对胃癌的较多选择奥沙利铂与氟尿嘧啶类药物的方案。如何预测化疗方案的疗效,始终是临床选择治疗策略的难题,在接受化疗前精准评估治疗有效性和失败风险,明确化疗获益人群对于上消化道肿瘤的治疗至关重要。目前预测化疗疗效的生物标志物有限,部分疗效预测的标志物需要外周血游离DNA或有创肿瘤活检的方式检测,并且采用昂贵的检测手段,很难实施动态监测,临床应用局限。因此,选择可靠、简便的生物标记物或疗效预测模型具有重要的研究意义。At present, chemotherapy is still the basic drug for all treatment options for patients with advanced or advanced esophageal cancer and gastric cancer. The main combination chemotherapy regimens are paclitaxel combined with platinum for esophageal cancer, and oxaliplatin and fluorouracil for gastric cancer. How to predict the efficacy of chemotherapy regimens has always been a difficult problem in clinical selection of treatment strategies. It is crucial to accurately evaluate the effectiveness of treatment and the risk of failure before receiving chemotherapy and to identify the population that benefits from chemotherapy for the treatment of upper gastrointestinal tumors. Currently, there are limited biomarkers for predicting the efficacy of chemotherapy. Some markers for predicting efficacy require peripheral blood free DNA or invasive tumor biopsy for detection, and expensive detection methods are used. It is difficult to implement dynamic monitoring and clinical application is limited. Therefore, it is of great research significance to select reliable and simple biomarkers or efficacy prediction models.

发明内容Summary of the invention

为弥补现有技术的不足,寻找可靠、简便的预测上消化道肿瘤(如食管癌、胃癌、胃食管交界处癌)与化疗疗效相关的生物标志物,本发明提供了基于外周血细胞、生化指标及淋巴细胞亚群等指标联合建立的疗效预测模型,能很好地针对上消化道肿瘤化疗的疗效,提供一种经济、省时的方法进行预测。In order to make up for the shortcomings of the existing technology and find reliable and simple biomarkers that can predict the efficacy of chemotherapy for upper gastrointestinal tumors (such as esophageal cancer, gastric cancer, and gastroesophageal junction cancer), the present invention provides an efficacy prediction model based on peripheral blood cells, biochemical indicators, lymphocyte subpopulations and other indicators, which can well predict the efficacy of chemotherapy for upper gastrointestinal tumors and provide an economical and time-saving method for prediction.

本发明的第一方面,提供了一种检测样本中外周血生物标志物的试剂在制备预测和/或评估上消化道肿瘤化疗疗效的产品中的应用,所述的外周血生物标志物选自血红蛋白、嗜酸细胞、CD4+T细胞、记忆CD4+T细胞、CD8+T细胞、CD4CD28+T 细胞、CD4CD28+T/CD4+T细胞比值、CD8CD28+T细胞、ELR、白细胞、血小板、中性粒细胞、单核细胞中的一种或多种。The first aspect of the present invention provides an application of a reagent for detecting peripheral blood biomarkers in a sample in the preparation of a product for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors, wherein the peripheral blood biomarkers are selected from one or more of hemoglobin, eosinophils, CD4 + T cells, memory CD4 + T cells, CD8 + T cells, CD4CD28 + T cells, CD4CD28 + T/CD4 + T cell ratio, CD8CD28 + T cells, ELR, leukocytes, platelets, neutrophils, and monocytes.

进一步地,所述的上消化道肿瘤为食管癌、胃癌或胃食管交界处癌。Furthermore, the upper digestive tract tumor is esophageal cancer, gastric cancer or gastroesophageal junction cancer.

优选地,所述的上消化道肿瘤为食管鳞癌、胃腺癌或胃食管交界处腺癌。Preferably, the upper digestive tract tumor is esophageal squamous cell carcinoma, gastric adenocarcinoma or gastroesophageal junction adenocarcinoma.

进一步地,所述的化疗疗效的评估等级分为部分缓解、疾病稳定和疾病进展(参考实体瘤疗效评价标准1.1(Response Evaluation Criteria in Solid Tumors 1.1,RECISTv1.1))。其中,将部分缓解和/或疾病稳定评估为达到疾病控制。Furthermore, the evaluation levels of chemotherapy efficacy are divided into partial remission, disease stabilization and disease progression (refer to Response Evaluation Criteria in Solid Tumors 1.1 (RECISTv1.1)). Among them, partial remission and/or disease stabilization are evaluated as achieving disease control.

在本发明的一个实施例中,食管癌的化疗方案为以紫杉醇联合铂类药物为主的治疗。In one embodiment of the present invention, the chemotherapy regimen for esophageal cancer is a treatment mainly based on paclitaxel combined with platinum drugs.

在本发明的一个实施例中,胃癌的化疗方案为以奥沙利铂联合氟尿嘧啶类药物(如替吉奥或卡培他滨)的治疗。In one embodiment of the present invention, the chemotherapy regimen for gastric cancer is a treatment with oxaliplatin combined with fluorouracil drugs (such as S-1 or capecitabine).

在本发明的一个实施例中,所述的外周血生物标志物中的血红蛋白、嗜酸细胞、CD4CD28+T/CD4+T细胞比值、记忆CD4+T细胞、CD4CD28+T 细胞可作为联合指标用于预测和/或评估食管癌化疗疗效。其中,所述的外周血生物标志物的含量越高,所述疗效越易达到部分缓解和/或疾病稳定(疾病控制)。In one embodiment of the present invention, hemoglobin, eosinophils, CD4CD28 + T/CD4 + T cell ratio, memory CD4 + T cells, and CD4CD28 + T cells in the peripheral blood biomarkers can be used as a combined indicator to predict and/or evaluate the efficacy of chemotherapy for esophageal cancer. The higher the content of the peripheral blood biomarkers, the easier it is for the efficacy to achieve partial remission and/or disease stabilization (disease control).

在本发明的另一个实施例中,所述的外周血生物标志物中的嗜酸细胞、CD8+T细胞、记忆CD4+T细胞、ELR可作为联合指标用于预测和/或评估食管癌化疗疗效。其中,所述的外周血生物标志物的含量越高,所述疗效越易达到部分缓解,甚至完全缓解。In another embodiment of the present invention, the eosinophils, CD8 + T cells, memory CD4 + T cells, and ELR in the peripheral blood biomarkers can be used as a combined indicator to predict and/or evaluate the chemotherapy efficacy of esophageal cancer. The higher the content of the peripheral blood biomarkers, the easier it is for the efficacy to achieve partial remission or even complete remission.

在本发明的一个实施例中,所述的外周血生物标志物中的嗜酸细胞、记忆CD4+T细胞、ELR可作为联合指标用于预测和/或评估胃癌化疗疗效。其中,所述的外周血生物标志物的含量越高,所述疗效越易达到部分缓解和/或疾病稳定(疾病控制)。In one embodiment of the present invention, the eosinophils, memory CD4 + T cells, and ELR in the peripheral blood biomarkers can be used as a combined indicator to predict and/or evaluate the efficacy of chemotherapy for gastric cancer. The higher the content of the peripheral blood biomarkers, the easier it is for the efficacy to achieve partial remission and/or disease stabilization (disease control).

在本发明的另一个实施例中,所述的外周血生物标志物中的白细胞、血小板、中性粒细胞、单核细胞、CD8CD28+T细胞可作为联合指标用于预测和/或评估胃癌化疗疗效。其中,所述的外周血生物标志物的含量越高,所述疗效越易达到部分缓解,甚至完全缓解。In another embodiment of the present invention, the leukocytes, platelets, neutrophils, monocytes, and CD8CD28 + T cells in the peripheral blood biomarkers can be used as a combined indicator to predict and/or evaluate the efficacy of chemotherapy for gastric cancer. The higher the content of the peripheral blood biomarkers, the easier it is for the efficacy to achieve partial remission or even complete remission.

进一步地,所述的样本为来自于活检受试者中获得的外周血。Furthermore, the sample is peripheral blood obtained from a biopsy subject.

进一步地,所述的受试者为哺乳动物,特别是人类。Furthermore, the subject is a mammal, particularly a human.

进一步地,所述的预测和/或评估上消化道肿瘤化疗疗效的产品包括检测所述外周血生物标志物的含量的产品。Furthermore, the product for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors includes a product for detecting the content of the peripheral blood biomarker.

进一步地,所述的检测所述外周血生物标志物含量的产品可以为试剂、试剂盒、试纸或仪器平台。Furthermore, the product for detecting the content of the peripheral blood biomarker may be a reagent, a test kit, a test paper or an instrument platform.

进一步地,所述的检测所述外周血生物标志物含量的产品可以基于细胞计数技术原理,例如,电阻法、光散射法、特殊细胞染色法、显微图像法、体积电导光散射联合检测法、电阻抗射频技术联合检测法、光散射与细胞化学技术等。Furthermore, the product for detecting the content of the peripheral blood biomarker can be based on the principle of cell counting technology, for example, resistance method, light scattering method, special cell staining method, microscopic imaging method, volume conductivity light scattering combined detection method, impedance radio frequency technology combined detection method, light scattering and cell chemistry technology, etc.

本发明的第二方面,提供了一种预测和/或评估上消化道肿瘤化疗疗效的产品,所述的预测和/或评估上消化道肿瘤化疗疗效的产品包括检测第一方面所述外周血生物标志物的含量的产品。The second aspect of the present invention provides a product for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors, and the product for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors includes a product for detecting the content of the peripheral blood biomarkers described in the first aspect.

进一步地,所述的上消化道肿瘤为食管癌、胃癌或胃食管交界处癌。Furthermore, the upper digestive tract tumor is esophageal cancer, gastric cancer or gastroesophageal junction cancer.

优选地,所述的上消化道肿瘤为食管鳞癌、胃腺癌或胃食管交界处腺癌。Preferably, the upper digestive tract tumor is esophageal squamous cell carcinoma, gastric adenocarcinoma or gastroesophageal junction adenocarcinoma.

进一步地,所述的化疗疗效的评估等级分为部分缓解、疾病稳定和疾病进展。其中,将部分缓解和/或疾病稳定评估为达到疾病控制水平。Furthermore, the evaluation levels of chemotherapy efficacy are divided into partial remission, disease stabilization and disease progression, wherein partial remission and/or disease stabilization are evaluated as reaching the disease control level.

进一步地,所述的检测所述外周血生物标志物含量的产品可以为试剂、试剂盒、试纸或仪器平台。Furthermore, the product for detecting the content of the peripheral blood biomarker may be a reagent, a test kit, a test paper or an instrument platform.

进一步地,所述的检测所述外周血生物标志物含量的产品可以基于细胞计数技术原理,例如,电阻法、光散射法、特殊细胞染色法、显微图像法、体积电导光散射联合检测法、电阻抗射频技术联合检测法、光散射与细胞化学技术等。Furthermore, the product for detecting the content of the peripheral blood biomarker can be based on the principle of cell counting technology, for example, resistance method, light scattering method, special cell staining method, microscopic imaging method, volume conductivity light scattering combined detection method, impedance radio frequency technology combined detection method, light scattering and cell chemistry technology, etc.

本发明的第三方面,提供了一种上消化道肿瘤化疗疗效的预测模型,所述的预测模型以第一方面所述外周血生物标志物作为变量。The third aspect of the present invention provides a prediction model for the efficacy of chemotherapy for upper gastrointestinal tumors, wherein the prediction model uses the peripheral blood biomarkers described in the first aspect as variables.

进一步地,所述的上消化道肿瘤为食管癌、胃癌或胃食管交界处癌。Furthermore, the upper digestive tract tumor is esophageal cancer, gastric cancer or gastroesophageal junction cancer.

优选地,所述的上消化道肿瘤为食管鳞癌、胃腺癌或胃食管交界处腺癌。Preferably, the upper digestive tract tumor is esophageal squamous cell carcinoma, gastric adenocarcinoma or gastroesophageal junction adenocarcinoma.

进一步地,所述的化疗疗效的评估等级分为部分缓解、疾病稳定和疾病进展。其中,将部分缓解和/或疾病稳定评估为达到疾病控制。Furthermore, the evaluation levels of chemotherapy efficacy are divided into partial remission, disease stabilization and disease progression, wherein partial remission and/or disease stabilization are evaluated as achieving disease control.

在本发明的一个实施例中,所述的食管癌化疗疗效的预测模型的变量为血红蛋白、嗜酸细胞、CD4CD28+T/CD4+T细胞比值、记忆CD4+T细胞和CD4CD28+T 细胞的组合。In one embodiment of the present invention, the variables of the prediction model for the efficacy of chemotherapy for esophageal cancer are hemoglobin, eosinophils, CD4CD28 + T/CD4 + T cell ratio, memory CD4 + T cells and a combination of CD4CD28 + T cells.

在本发明的另一个实施例中,所述的食管癌化疗疗效的预测模型的变量为嗜酸细胞、CD8+T细胞、记忆CD4+T细胞和ELR的组合。In another embodiment of the present invention, the variables of the prediction model for the efficacy of chemotherapy for esophageal cancer are a combination of eosinophils, CD8 + T cells, memory CD4 + T cells and ELR.

在本发明的一个实施例中,所述的胃癌化疗疗效的预测模型的变量为嗜酸细胞、记忆CD4+T细胞和ELR的组合。In one embodiment of the present invention, the variables of the prediction model for the efficacy of chemotherapy for gastric cancer are a combination of eosinophils, memory CD4 + T cells and ELR.

在本发明的另一个实施例中,所述的胃癌化疗疗效的预测模型的变量为白细胞、血小板、中性粒细胞、单核细胞和CD8CD28+T细胞的组合。In another embodiment of the present invention, the variables of the prediction model for the efficacy of chemotherapy for gastric cancer are a combination of leukocytes, platelets, neutrophils, monocytes and CD8CD28 + T cells.

本发明的第四方面,提供了一种预测和/或评估上消化道肿瘤化疗疗效的方法,其包括检测第一方面所述外周血生物标志物的试剂的步骤。A fourth aspect of the present invention provides a method for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors, which comprises the step of detecting a reagent for the peripheral blood biomarker described in the first aspect.

进一步地,所述的上消化道肿瘤为食管癌、胃癌或胃食管交界处癌。Furthermore, the upper digestive tract tumor is esophageal cancer, gastric cancer or gastroesophageal junction cancer.

优选地,所述的上消化道肿瘤为食管鳞癌、胃腺癌或胃食管交界处腺癌。Preferably, the upper digestive tract tumor is esophageal squamous cell carcinoma, gastric adenocarcinoma or gastroesophageal junction adenocarcinoma.

进一步地,所述的化疗疗效的评估等级分为部分缓解、疾病稳定和疾病进展。其中,将部分缓解和/或疾病稳定评估为达到疾病控制水平。Furthermore, the evaluation levels of chemotherapy efficacy are divided into partial remission, disease stabilization and disease progression, wherein partial remission and/or disease stabilization are evaluated as reaching the disease control level.

进一步地,所述的方法包括如下步骤:Furthermore, the method comprises the following steps:

(1)获取受试者样本;(1) Obtaining samples from subjects;

(2)检测受试者样本中所述外周血生物标志物的含量;(2) detecting the content of the peripheral blood biomarkers in the subject's sample;

(3)将测得的所述外周血生物标志物的含量与受试者的上消化道肿瘤(如食管癌、胃癌、胃食管交界处腺癌)化疗疗效联系起来。(3) Correlating the measured content of the peripheral blood biomarker with the chemotherapy efficacy of the subject's upper gastrointestinal tumor (such as esophageal cancer, gastric cancer, gastroesophageal junction adenocarcinoma).

进一步地,所述的样本为来自于活检受试者中获得的外周血。Furthermore, the sample is peripheral blood obtained from a biopsy subject.

进一步地,所述的受试者为哺乳动物,特别是人类。Furthermore, the subject is a mammal, particularly a human.

进一步地,所述的预测和/或评估上消化道肿瘤化疗疗效的标准为:检测所述外周血生物标志物的含量,和参照相比,受试者化疗前的所述外周血生物标志物的含量越高,表明上消化道肿瘤化疗疗效越易达到疾病控制(如部分缓解和/或疾病稳定)水平,反之亦然。Furthermore, the criteria for predicting and/or evaluating the efficacy of chemotherapy for upper gastrointestinal tumors are: detecting the content of the peripheral blood biomarkers, and compared with the reference, the higher the content of the peripheral blood biomarkers of the subject before chemotherapy, the easier it is for the chemotherapy efficacy of the upper gastrointestinal tumor to reach the level of disease control (such as partial remission and/or disease stabilization), and vice versa.

进一步地,所述的参照为受试者化疗前的所述外周血生物标志物的最大约登指数所对应的含量值。Furthermore, the reference is the content value corresponding to the maximum Youden index of the peripheral blood biomarker of the subject before chemotherapy.

在本发明的一个实施例中,所述的血红蛋白、嗜酸细胞、CD4CD28+T/CD4+T细胞比值、记忆CD4+T细胞、CD4CD28+T 细胞的含量越高,表明食管癌的化疗疗效越易达到部分缓解和/或疾病稳定(疾病控制)。In one embodiment of the present invention, the higher the hemoglobin, eosinophils, CD4CD28 + T/CD4 + T cell ratio, memory CD4 + T cells, and CD4CD28 + T cell contents, the easier it is for the chemotherapy effect of esophageal cancer to achieve partial remission and/or disease stabilization (disease control).

在本发明的另一个实施例中,所述的嗜酸细胞、CD8+T细胞、记忆CD4+T细胞、ELR的含量越高,表明食管癌的化疗疗效越易达到部分缓解。In another embodiment of the present invention, the higher the content of eosinophils, CD8 + T cells, memory CD4 + T cells, and ELR, the easier it is for the chemotherapy effect of esophageal cancer to achieve partial remission.

在本发明的一个实施例中,所述的嗜酸细胞、记忆CD4+T细胞、ELR的含量越高,表明胃癌的化疗疗效越易达到部分缓解和/或疾病稳定(疾病控制)。In one embodiment of the present invention, the higher the content of eosinophils, memory CD4 + T cells, and ELR, the easier it is for the chemotherapy effect of gastric cancer to achieve partial remission and/or disease stabilization (disease control).

在本发明的另一个实施例中,所述的白细胞、血小板、中性粒细胞、单核细胞、CD8CD28+T细胞的含量越高,表明胃癌的化疗疗效越易达到部分缓解。In another embodiment of the present invention, the higher the content of leukocytes, platelets, neutrophils, monocytes, and CD8CD28 + T cells, the easier it is for the chemotherapy effect of gastric cancer to achieve partial remission.

本发明提供了一种预测上消化道肿瘤(如食管癌、胃癌、胃食管交界处癌)化疗疗效的外周血生物标志物,可用于预测上消化道肿瘤化疗风险的辅助诊断,检测特异性好,灵敏度高。本发明所采用的外周血指标检测均为常规试剂盒,低成本,省时,方便临床操作及动态监测,有重要的临床意义及广泛的适用性。本发明的外周血联合指标分别反映了部分炎症因子、外周血细胞及淋巴细胞亚群与肿瘤的发展密切相关,并且与机体的免疫微环境之间有相互作用,有望作为上消化道肿瘤病程监控、预测和预后判断的评价指标。The present invention provides a peripheral blood biomarker for predicting the efficacy of chemotherapy for upper gastrointestinal tumors (such as esophageal cancer, gastric cancer, and gastroesophageal junction cancer), which can be used for auxiliary diagnosis to predict the risk of chemotherapy for upper gastrointestinal tumors, with good detection specificity and high sensitivity. The peripheral blood index detection used in the present invention is a conventional kit, which is low-cost, time-saving, convenient for clinical operation and dynamic monitoring, and has important clinical significance and wide applicability. The peripheral blood combined index of the present invention reflects that some inflammatory factors, peripheral blood cells and lymphocyte subpopulations are closely related to the development of tumors, and interact with the body's immune microenvironment, and is expected to be used as an evaluation index for monitoring, predicting and judging the prognosis of upper gastrointestinal tumors.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1所示为联合指标模型A预测食管癌化疗疗效达到疾病控制的ROC曲线。Figure 1 shows the ROC curve of the combined indicator model A for predicting the efficacy of chemotherapy for esophageal cancer to achieve disease control.

图2所示为联合指标模型B预测食管癌化疗疗效达到疾病部分缓解的ROC曲线。Figure 2 shows the ROC curve of the combined indicator model B for predicting the efficacy of chemotherapy for esophageal cancer to achieve partial disease remission.

图3所示为联合指标模型C预测胃癌化疗疗效达到疾病控制的ROC曲线。FIG3 shows the ROC curve of the combined indicator model C for predicting the efficacy of chemotherapy for gastric cancer to achieve disease control.

图4所示为联合指标模型D预测胃癌化疗疗效达到疾病部分缓解的ROC曲线。FIG4 shows the ROC curve of the combined indicator model D for predicting the efficacy of chemotherapy for gastric cancer to achieve partial disease remission.

具体实施方式DETAILED DESCRIPTION

除非另有定义,本发明中所使用的所有科学和技术术语具有与本发明涉及技术领域的技术人员通常理解的相同的含义。Unless otherwise defined, all scientific and technical terms used in the present invention have the same meanings as commonly understood by one of ordinary skill in the art to which the present invention relates.

术语“约登指数”,是评价筛查试验真实性的方法,表示筛检方法发现真正的患者与非患者的总能力。约登指数是敏感性与特异性之和减去1。最大约登指数处所对应的截断点对应值作为CUT OFF值能够保证试剂盒的准确度最优。The term "Youden Index" is a method for evaluating the authenticity of a screening test, which indicates the total ability of the screening method to detect true patients and non-patients. The Youden Index is the sum of sensitivity and specificity minus 1. The cutoff point corresponding to the maximum Youden Index is used as the CUT OFF value to ensure the optimal accuracy of the test kit.

下面将结合实施例对本发明的实施方案进行详细描述,但是本领域技术人员将会理解,下列实施例仅用于说明本发明,而不应视为限制本发明的范围。实施例中未注明具体条件者,按照常规条件或制造商建议的条件进行。所用试剂或仪器未注明生产厂商者,均为可以通过市购获得的常规产品。The embodiments of the present invention will be described in detail below in conjunction with the examples, but it will be appreciated by those skilled in the art that the following examples are only used to illustrate the present invention and should not be construed as limiting the scope of the present invention. If no specific conditions are specified in the examples, the conditions are carried out according to conventional conditions or the conditions recommended by the manufacturer. If the manufacturer of the reagents or instruments used is not specified, they are all conventional products that can be obtained commercially.

实施例1Example 1

1.1研究对象1.1 Research subjects

本研究前瞻性入组上消化道肿瘤患者共92例(食管癌38例,胃癌54例)。A total of 92 patients with upper gastrointestinal tumors (38 cases of esophageal cancer and 54 cases of gastric cancer) were prospectively enrolled in this study.

入组标准:(1)年龄大于18岁;(2)病理组织学或细胞学确定诊断的食管鳞癌、胃或胃食管交界区腺癌;(3)入组时分期为局部晚期或Ⅳ期(AJCC 7.0);(4)入组前6个月内未接受手术或其他抗肿瘤治疗;(5)脏器功能正常;(6)符合化学药物治疗的要求;(7)自愿参加本研究。Inclusion criteria: (1) aged over 18 years; (2) esophageal squamous cell carcinoma, gastric or gastroesophageal junction adenocarcinoma confirmed by pathological histology or cytology; (3) locally advanced stage or stage IV (AJCC 7.0) at the time of enrollment; (4) no surgery or other anti-tumor treatment within 6 months before enrollment; (5) normal organ function; (6) meeting the requirements for chemotherapy; (7) voluntary participation in this study.

1.2研究方法1.2 Research Methods

1.2.1治疗方案及疗效评估1.2.1 Treatment plan and efficacy evaluation

临床研究者选择标准化疗方案:食管鳞癌以紫杉醇联合铂类为主;胃及胃食管交界区腺癌主要选择奥沙利铂联合氟尿嘧啶类药物方案(替吉奥或卡培他滨)。Clinical researchers selected standard chemotherapy regimens: paclitaxel combined with platinum was mainly used for esophageal squamous cell carcinoma; oxaliplatin combined with fluorouracil drugs (Tegafur or capecitabine) was mainly used for gastric and gastroesophageal junction adenocarcinoma.

疗效评估:参考实体瘤疗效评价标准1.1(Response Evaluation Criteria inSolid Tumors 1.1,RECIST v1.1),每6周进行疗效评估;疗效评估等级分为:部分缓解(PR)、疾病稳定(SD)、疾病进展(PD);将部分缓解和疾病稳定均评估为达到疾病控制。Efficacy evaluation: With reference to Response Evaluation Criteria in Solid Tumors 1.1 (RECIST v1.1), efficacy evaluation was performed every 6 weeks; the efficacy evaluation grades were divided into partial response (PR), stable disease (SD), and progressive disease (PD); both partial response and stable disease were evaluated as achieving disease control.

1.2.2检测项目1.2.2 Test items

在患者抗肿瘤治疗前1周内(基线)留取外周血查:全血细胞分析、淋巴细胞亚群、红细胞沉降率(erythrocyte sedimentation rate, ESR)、超敏C反应蛋白(hypersensitive C-reactive protein, hsCRP)、白蛋白ALB/前白蛋白preALB、淋巴细胞亚群等检测项目。分别计算每例患者的组合标记物水平(MLR, NLR, ELR, BLR, PLR, CAR,COP, CLR, CBR)。Peripheral blood was collected from patients within 1 week before anti-tumor treatment (baseline) for examination of complete blood cell analysis, lymphocyte subsets, erythrocyte sedimentation rate (ESR), hypersensitive C-reactive protein (hsCRP), albumin ALB/prealbumin preALB, lymphocyte subsets, etc. The combined marker levels (MLR, NLR, ELR, BLR, PLR, CAR, COP, CLR, CBR) were calculated for each patient.

MLR=单核细胞数/淋巴细胞数;NLR=中性粒细胞数/淋巴细胞数;ELR=嗜酸细胞数/淋巴细胞数;BLR=嗜碱细胞数/淋巴细胞数;PLR=血小板数/淋巴细胞数;CAR=CRP/ALB;COP=CRP/preALB;CLR=CRP/淋巴细胞;CBR=CRP/BMI。MLR=monocyte count/lymphocyte count; NLR=neutrophil count/lymphocyte count; ELR=eosinophil count/lymphocyte count; BLR=basophil count/lymphocyte count; PLR=platelet count/lymphocyte count; CAR=CRP/ALB; COP=CRP/preALB; CLR=CRP/lymphocyte; CBR=CRP/BMI.

1.3统计学分析1.3 Statistical analysis

统计学分析应用SPSS 26.0,采用T检验、ANOVA方差分析比较组间数据差异,非参数检验应用Mann-Whitney及 Kruskal-Wallis检验。应用Kaplan-Meier生存分析比较生存期差异,采用ROC分析判断标记物差异作为诊断标准的效能。设定双向P<0.05提示差异有统计学意义。应用GraphPad Prism 8.0 软件(San Diego, USA)进行统计学分析及绘图,并采用Mann-Whitney及 Kruskal-Wallis 秩和检验比较临床数据差异。SPSS 26.0 was used for statistical analysis. T test and ANOVA analysis of variance were used to compare the differences in data between groups. Mann-Whitney and Kruskal-Wallis tests were used for nonparametric tests. Kaplan-Meier survival analysis was used to compare the differences in survival, and ROC analysis was used to determine the efficacy of marker differences as diagnostic criteria. Two-way P < 0.05 was set to indicate that the difference was statistically significant. GraphPad Prism 8.0 software (San Diego, USA) was used for statistical analysis and drawing, and Mann-Whitney and Kruskal-Wallis rank sum tests were used to compare the differences in clinical data.

1.4入组患者临床特征1.4 Clinical characteristics of enrolled patients

表1 食管癌及胃癌患者的临床特征Table 1 Clinical characteristics of patients with esophageal cancer and gastric cancer

Figure SMS_1
Figure SMS_1

表2食管癌及胃癌患者的循环参数Table 2 Circulatory parameters of patients with esophageal cancer and gastric cancer

Figure SMS_2
Figure SMS_2

1.5单指标筛选1.5 Single indicator screening

表3食管癌指标筛选结果Table 3 Screening results of esophageal cancer indicators

Figure SMS_3
Figure SMS_3

表4胃癌指标筛选结果Table 4 Gastric cancer index screening results

Figure SMS_4
Figure SMS_4

如表3所示,前期食管癌化疗达到疾病控制的单指标筛选发现,血红蛋白(Hb)、嗜酸细胞(EOS)、CD4CD28+T/CD4+T细胞、记忆CD4+T、CD4CD28+T细胞具有显著性差异;前期食管癌化疗达到部分缓解的单指标筛选发现,嗜酸细胞(EOS)水平、CD8+T细胞水平、记忆CD4+T、ELR具有显著性差异(P<0.05)。As shown in Table 3, the single indicator screening for disease control achieved by early esophageal cancer chemotherapy found that hemoglobin (Hb), eosinophils (EOS), CD4CD28 + T/CD4 + T cells, memory CD4 + T, and CD4CD28 + T cells had significant differences; the single indicator screening for partial remission achieved by early esophageal cancer chemotherapy found that eosinophil (EOS) levels, CD8 + T cell levels, memory CD4 + T, and ELR had significant differences (P<0.05).

如表4所示,前期胃癌化疗达到疾病控制的单指标筛选发现,嗜酸细胞(EOS)、记忆CD4+T、ELR具有显著性差异;前期胃癌化疗达到部分缓解的单指标筛选发现,白细胞(WBC)水平、血小板(PLT)水平、中性粒细胞(NEUT)、单核细胞(Mono)、CD8CD28+T细胞具有显著性差异(P<0.05)。As shown in Table 4, the single indicator screening for disease control achieved by early gastric cancer chemotherapy found that eosinophils (EOS), memory CD4 + T, and ELR had significant differences; the single indicator screening for partial remission achieved by early gastric cancer chemotherapy found that white blood cell (WBC) levels, platelet (PLT) levels, neutrophils (NEUT), monocytes (Mono), and CD8CD28 + T cells had significant differences (P < 0.05).

实施例2筛选与食管癌化疗疗效相关的外周血标记物,构建预测模型Example 2 Screening of peripheral blood markers related to chemotherapy efficacy of esophageal cancer and construction of a prediction model

通过前期的单指标筛选,发现血红蛋白(Hb)、嗜酸细胞(EOS)、CD4CD28+T/CD4+T细胞比例、记忆CD4+T、CD4CD28+T细胞计数越高,食管癌化疗越容易达到疾病控制(部分缓解+疾病稳定),越不易进展。Through early single-indicator screening, it was found that the higher the hemoglobin (Hb), eosinophils (EOS), CD4CD28 + T/CD4 + T cell ratio, memory CD4 + T, and CD4CD28 + T cell counts, the easier it is to achieve disease control (partial remission + disease stabilization) with esophageal cancer chemotherapy, and the less likely it is to progress.

将以上有疗效预测价值的单指标联合,构建疗效预测模型,通过ROC诊断分析评估了它们的预测效果,结果表明,它们在接受者工作特征曲线下的面积(AUROC)在0.4210至0.7920之间。The above single indicators with efficacy prediction value were combined to construct an efficacy prediction model, and their predictive effects were evaluated by ROC diagnostic analysis. The results showed that their areas under the receiver operating characteristic curve (AUROC) were between 0.4210 and 0.7920.

联合指标模型A预测食管癌化疗疗效达到疾病控制(部分缓解PR+疾病稳定SD)的AUC曲线下面积79.2%(图1),敏感性为82.6%,特异性为80%,p=0.012(95CI 0.609-0.975),较单指标预测效能更好。The area under the curve of the combined indicator model A for predicting the efficacy of chemotherapy for esophageal cancer to achieve disease control (partial remission PR + stable disease SD) was 79.2% (Figure 1), with a sensitivity of 82.6%, a specificity of 80%, p=0.012 (95CI 0.609-0.975), which was better than the single indicator prediction efficiency.

同时发现,嗜酸细胞(EOS)水平、CD8+T细胞水平、记忆CD4+T计数、ELR越高,越容易达到部分缓解(PR)。将有疗效(PR)预测价值的单指标联合,构建疗效预测模型,通过ROC诊断分析评估了它们的预测效果,结果表明,它们在接受者工作特征曲线下的面积(AUROC)在0.701至0.851之间。It was also found that the higher the eosinophil (EOS) level, CD8 + T cell level, memory CD4 + T count, and ELR, the easier it was to achieve partial remission (PR). The single indicators with efficacy (PR) prediction value were combined to construct an efficacy prediction model, and their predictive effects were evaluated by ROC diagnostic analysis. The results showed that their area under the receiver operating characteristic curve (AUROC) was between 0.701 and 0.851.

联合指标模型B预测食管癌化疗疗效达到疾病部分缓解(PR)的AUC曲线下面积85.1%(图2),敏感性为77.8%,特异性为89.7%,p=0.002(95CI 0.691-1.000),较单指标预测效能更好。The area under the curve of the combined indicator model B for predicting the efficacy of chemotherapy for esophageal cancer to achieve partial remission (PR) was 85.1% (Figure 2), with a sensitivity of 77.8%, a specificity of 89.7%, p=0.002 (95CI 0.691-1.000), which was better than that of a single indicator.

实施例3筛选与胃癌化疗疗效相关的外周血标记物,构建预测模型Example 3 Screening of peripheral blood markers related to chemotherapy efficacy in gastric cancer and construction of a prediction model

通过前期单指标筛选,发现嗜酸细胞(EOS)、记忆CD4+T、ELR越高,胃癌化疗越容易达到疾病控制(部分缓解+疾病稳定),越不易进展。Through early single-indicator screening, it was found that the higher the eosinophils (EOS), memory CD4 + T, and ELR, the easier it is to achieve disease control (partial remission + disease stabilization) with chemotherapy for gastric cancer, and the less likely it is to progress.

将以上有疗效预测价值的单指标联合,构建疗效预测模型,通过ROC诊断分析评估了它们的预测效果,结果表明,它们在接受者工作特征曲线下的面积(AUROC) 在0.722至0.936之间。The above single indicators with efficacy prediction value were combined to construct an efficacy prediction model, and their prediction effects were evaluated by ROC diagnostic analysis. The results showed that their areas under the receiver operating characteristic curve (AUROC) were between 0.722 and 0.936.

联合指标模型C预测胃癌化疗疗效达到疾病控制(部分缓解PR+疾病稳定SD)的AUC曲线下面积93.6%(图3),敏感性为84.1%,特异性为90%,p<0.001(95CI 0.861-1.000),较单指标预测效能更好。The area under the curve of the combined indicator model C for predicting the efficacy of chemotherapy for gastric cancer to achieve disease control (partial remission PR + stable disease SD) was 93.6% (Figure 3), with a sensitivity of 84.1% and a specificity of 90%, p<0.001 (95CI 0.861-1.000), which was better than the single indicator prediction efficiency.

白细胞(WBC)水平、血小板(PLT)水平、中性粒细胞(NEUT)计数、单核细胞(Mono)、CD8CD28+T细胞越高,越容易达到部分缓解(PR)。The higher the white blood cell (WBC) level, platelet (PLT) level, neutrophil (NEUT) count, monocyte (Mono), and CD8CD28 + T cells, the easier it is to achieve partial remission (PR).

将有疗效(PR)预测价值的单指标联合,构建疗效预测模型,通过ROC诊断分析评估了它们的预测效果,结果表明,AUROC在0.671至0.807之间。The single indicators with predictive value for efficacy (PR) were combined to construct a efficacy prediction model, and their predictive effects were evaluated by ROC diagnostic analysis. The results showed that the AUROC ranged from 0.671 to 0.807.

联合指标模型D预测胃癌化疗疗效达到疾病部分缓解(PR)的AUC曲线下面积80.7%(图4),敏感性为88.9%,特异性为66.7%,p<0.001(95CI 0.692-0.922),较单指标预测效能更好。The area under the curve of the combined indicator model D for predicting the efficacy of chemotherapy for gastric cancer to achieve partial remission (PR) was 80.7% (Figure 4), with a sensitivity of 88.9%, a specificity of 66.7%, p<0.001 (95CI 0.692-0.922), and better predictive efficiency than a single indicator.

最后应说明的是:以上各实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述各实施例对本发明进行了详细的说明,但本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分或者全部技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1.一种检测样本中外周血生物标志物的试剂在制备预测和/或评估上消化道肿瘤化疗疗效的产品中的应用,其特征在于,所述的外周血生物标志物选自血红蛋白、嗜酸细胞、CD4+T细胞、记忆CD4+T细胞、CD8+T细胞、CD4CD28+T 细胞、CD4CD28+T/CD4+T细胞比值、CD8CD28+T细胞、ELR、白细胞、血小板、中性粒细胞、单核细胞中的一种或多种。1. The application of a reagent for detecting peripheral blood biomarkers in a sample in the preparation of a product for predicting and/or evaluating the curative effect of upper gastrointestinal tumor chemotherapy, characterized in that, the peripheral blood biomarkers are selected from hemoglobin, hemotropin Acid cells, CD4 + T cells, memory CD4 + T cells, CD8 + T cells, CD4CD28 + T cells, CD4CD28 + T/CD4 + T cell ratio, CD8CD28 + T cells, ELR, white blood cells, platelets, neutrophils, One or more of monocytes. 2.根据权利要求1所述的应用,其特征在于,所述的上消化道肿瘤为食管癌、胃癌或胃食管交界处癌。2. The application according to claim 1, characterized in that the upper gastrointestinal tumor is esophageal cancer, gastric cancer or gastroesophageal junction cancer. 3.根据权利要求2所述的应用,其特征在于,所述的上消化道肿瘤为食管鳞癌、胃腺癌或胃食管交界处腺癌。3. The application according to claim 2, wherein the upper gastrointestinal tumor is esophageal squamous cell carcinoma, gastric adenocarcinoma or gastroesophageal junction adenocarcinoma. 4.根据权利要求1所述的应用,其特征在于,所述的样本为来自于活检受试者中获得的外周血。4. The application according to claim 1, wherein the sample is peripheral blood obtained from a biopsy subject. 5.根据权利要求1所述的应用,其特征在于,所述的预测和/或评估上消化道肿瘤化疗疗效的产品包括检测所述外周血生物标志物的含量的产品。5 . The application according to claim 1 , wherein the product for predicting and/or evaluating the curative effect of upper gastrointestinal tumor chemotherapy includes a product for detecting the content of the peripheral blood biomarker. 6.根据权利要求5所述的应用,其特征在于,所述的检测所述外周血生物标志物含量的产品为试剂、试剂盒、试纸或仪器平台。6. The application according to claim 5, wherein the product for detecting the content of the peripheral blood biomarker is a reagent, a kit, a test strip or an instrument platform. 7.根据权利要求1-6任一项所述的应用,其特征在于,所述的外周血生物标志物为血红蛋白、嗜酸细胞、CD4CD28+T/CD4+T细胞比值、记忆CD4+T细胞和CD4CD28+T 细胞,所述上消化道肿瘤为食管癌。7. The application according to any one of claims 1-6, wherein the peripheral blood biomarkers are hemoglobin, eosinophils, CD4CD28 + T/CD4 + T cell ratio, memory CD4 + T cell and CD4CD28 + T cells, the upper gastrointestinal tumor is esophageal cancer. 8.根据权利要求1-6任一项所述的应用,其特征在于,所述的外周血生物标志物为嗜酸细胞、CD8+T细胞、记忆CD4+T细胞和ELR,所述上消化道肿瘤为食管癌。8. The application according to any one of claims 1-6, characterized in that, the peripheral blood biomarkers are eosinophils, CD8 + T cells, memory CD4 + T cells and ELR, and the upper digestion Tract tumor is esophageal cancer. 9.根据权利要求1-6任一项所述的应用,其特征在于,所述的外周血生物标志物为嗜酸细胞、记忆CD4+T细胞和ELR,所述上消化道肿瘤为胃癌。9. The application according to any one of claims 1-6, wherein the peripheral blood biomarkers are eosinophils, memory CD4 + T cells and ELR, and the upper gastrointestinal tumor is gastric cancer. 10.根据权利要求1-6任一项所述的应用,其特征在于,所述的外周血生物标志物为白细胞、血小板、中性粒细胞、单核细胞和CD8CD28+T细胞,所述上消化道肿瘤为胃癌。10. The application according to any one of claims 1-6, characterized in that, the peripheral blood biomarkers are white blood cells, platelets, neutrophils, monocytes and CD8CD28 + T cells, and the above Gastrointestinal tumors are stomach cancers.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117877649A (en) * 2023-12-05 2024-04-12 中山大学肿瘤防治中心(中山大学附属肿瘤医院、中山大学肿瘤研究所) A marker panel and system for predicting bacteremia in tumor patients

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140141986A1 (en) * 2011-02-22 2014-05-22 David Spetzler Circulating biomarkers
CN105143876A (en) * 2013-03-27 2015-12-09 豪夫迈·罗氏有限公司 Use of biomarkers for assessing treatment of gastrointestinal inflammatory disorders with beta7 integrin antagonists
CN109153722A (en) * 2016-04-08 2019-01-04 X4 制药有限公司 Method for treating cancer
CN110484624A (en) * 2019-08-28 2019-11-22 南京大学 A kind of gastric cancer biomarker and its detection method and application based on peripheral blood

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140141986A1 (en) * 2011-02-22 2014-05-22 David Spetzler Circulating biomarkers
CN105143876A (en) * 2013-03-27 2015-12-09 豪夫迈·罗氏有限公司 Use of biomarkers for assessing treatment of gastrointestinal inflammatory disorders with beta7 integrin antagonists
CN109153722A (en) * 2016-04-08 2019-01-04 X4 制药有限公司 Method for treating cancer
CN110484624A (en) * 2019-08-28 2019-11-22 南京大学 A kind of gastric cancer biomarker and its detection method and application based on peripheral blood

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ZIYU LI等: "The clinical value and usage of inflammatory and nutritional markers in survival prediction for gastric cancer patients with neoadjuvant Chemotherapy and D2 lymphadenectomy", 《GASTRIC CANCER》, vol. 23, no. 3, pages 540 - 549, XP037094605, DOI: 10.1007/s10120-019-01027-6 *
刘雪梅;李明焕;孔莉;于金明;: "外周血中性粒细胞与淋巴细胞比值对根治性放化疗食管鳞癌患者预后预测价值", 中华肿瘤防治杂志, no. 21 *
周永春;王熙才;谷玉兰;姚乾;申文香;伍治平;金丛国;陈晓群;李佳;陈艳;刘馨;: "CD_3~+ CD_(56)~+ NKT细胞在中晚期胃癌治疗中的临床疗效观察", 西南国防医药, no. 04 *
陈海燕;杨小宝;许大康;: "新生物标志物在胃肠道肿瘤中疗效预测和预后价值的研究进展", 诊断学理论与实践, no. 06 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117877649A (en) * 2023-12-05 2024-04-12 中山大学肿瘤防治中心(中山大学附属肿瘤医院、中山大学肿瘤研究所) A marker panel and system for predicting bacteremia in tumor patients
CN117877649B (en) * 2023-12-05 2024-05-31 中山大学肿瘤防治中心(中山大学附属肿瘤医院、中山大学肿瘤研究所) A marker panel and system for predicting bacteremia in tumor patients

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