Chen Qichen, Deng Yiqiao, Zhao Chuanhua, Huang Zhen, Zhang Wen, Yang Yi, Bai Yuxian, Tu Jianfei, Li Bo, Wu Wei, Mao Xianhai, Lv Jing, Song Tianqiang, Dai Wenxiang, Zhao Jianjun, Bi Xinyu, Li Zhiyu, Zhou Jianguo, Zhang Yefan, Chen Xiao, Zhou Aiping, Cai Jianqiang, Xu Jianming, Zhao Hong
Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Gastrointestinal Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Ann Transl Med. 2023 Mar 15;11(5):199. doi: 10.21037/atm-22-3045. Epub 2023 Feb 23.
Although immunotherapy combined with targeted therapy can be effective for hepatocellular carcinoma (HCC), not all HCC patients respond to this treatment. Models for predicting tumour response in HCC patients receiving immunotherapy combined with targeted therapy are lacking.
A total of 221 HCC patients from two independent prospective cohorts were retrospectively reviewed. The patients were randomly divided into training and validation cohorts at a ratio of 7:3. Standard clinical data were collected from each patient, including age, sex, hepatitis B infection status, laboratory tests, and immune target-related adverse events (itrAEs). Tumour responses were evaluated using the Response Evaluation Criteria in Solid Tumours (RECIST) v1.1 guidelines. ItrAEs were assessed based on the Common Terminology Criteria for Adverse Events version 4.0. The nomogram for tumour response prediction was constructed based on the results of the multivariate logistic regression analysis, areas under the receiver operating characteristic curves (AUROCs) were used to determine the sensitivity and specificity of the model, and calibration plots and Hosmer-Lemeshow chi-square tests were performed to assess the calibration of the model.
In the multivariate logistic regression analysis, a solitary tumour (P=0.006), neutropenia (P=0.003) and hypertension (P=0.042) independently predicted objective response (OR). A nomogram for OR was established with AUROCs of 0.734, 0.675, 0.730, and 0.707 in the training, validation, first-line and second-line treatment sets, respectively. Tumour sizes less than 5 cm (P=0.005), a solitary tumour (P=0.037), prognostic nutritional indices greater than or equal to 54.3 (P=0.037), neutropenia (P=0.004) and fatigue (P=0.041) independently predicted disease control (DC). A nomogram for DC was established with AUROCs of 0.804, 0.667, and 0.768 in the training, first-line and second-line treatment sets, respectively. All the Hosmer-Lemeshow tests and calibration curves showed acceptable calibration.
The current provides clinicians with new insights into selecting patients for immunotherapy combined with targeted therapy and contributes to the development of immunotherapy for HCC. It is necessary to expand the scale of our research and perform prospective studies to verify our findings.
尽管免疫疗法联合靶向疗法对肝细胞癌(HCC)可能有效,但并非所有HCC患者都对这种治疗有反应。目前缺乏预测接受免疫疗法联合靶向疗法的HCC患者肿瘤反应的模型。
回顾性分析了来自两个独立前瞻性队列的221例HCC患者。患者按7:3的比例随机分为训练队列和验证队列。收集每位患者的标准临床数据,包括年龄、性别、乙型肝炎感染状况、实验室检查以及免疫靶点相关不良事件(itrAEs)。使用实体瘤疗效评价标准(RECIST)v1.1指南评估肿瘤反应。根据不良事件通用术语标准第4.0版评估itrAEs。基于多因素逻辑回归分析结果构建肿瘤反应预测列线图,使用受试者操作特征曲线下面积(AUROC)确定模型的敏感性和特异性,并进行校准图和Hosmer-Lemeshow卡方检验以评估模型的校准情况。
在多因素逻辑回归分析中,孤立肿瘤(P=0.006)、中性粒细胞减少(P=0.003)和高血压(P=0.042)独立预测客观缓解(OR)。在训练队列、验证队列、一线治疗组和二线治疗组中分别建立了OR列线图,其AUROC分别为0.734、0.675、0.730和0.707。肿瘤大小小于5 cm(P=0.005)、孤立肿瘤(P=0.037)、预后营养指数大于或等于54.3(P=0.037)、中性粒细胞减少(P=0.004)和疲劳(P=0.041)独立预测疾病控制(DC)。在训练队列、一线治疗组和二线治疗组中分别建立了DC列线图,其AUROC分别为0.804、0.667和0.768。所有Hosmer-Lemeshow检验和校准曲线均显示校准可接受。
本研究为临床医生选择接受免疫疗法联合靶向疗法的患者提供了新的见解,并有助于HCC免疫疗法的发展。有必要扩大我们研究的规模并进行前瞻性研究以验证我们的发现。