非小细胞肺癌不同进展模式的临床特征与治疗结局分析
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作者单位:

1.青海大学临床医学院,青海 西宁,810000;2.青海省人民医院,青海 西宁,810000;3.湖南省肿瘤医院/中南大学湘雅医学院附属肿瘤医院 早期临床研究中心,湖南 长沙,410013

作者简介:

黄姣,女,硕士研究生,研究方向为肺癌免疫治疗。

通讯作者:

徐芹芹,女,副主任医师,博士生导师,研究方向为肺癌诊治。

中图分类号:

R734.2;R730.51

基金项目:

青海省科技计划项目(2022-ZJ-733)。


Clinical characteristics and treatment outcomes analysis of different progression patterns in non-small cell lung cancer
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1.School of Clinical Medicine, Qinghai University, Xining, 810000, Qinghai, China;2.Qinghai Provincial People's Hospital, Xining, 810000, Qinghai, China;3.Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital / the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China

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    摘要:

    目的 探讨晚期非小细胞肺癌(NSCLC)患者免疫联合化疗后的进展模式(寡进展与广泛进展)及不同进展模式下的耐药类型(原发耐药与继发耐药)对生存结局的影响,并探究其与PD-L1等生物标志物的关联。方法 回顾性纳入湖南省肿瘤医院2018年4月—2022年10月接受一线化疗联合免疫治疗后出现进展的579例晚期NSCLC患者,根据进展模式分为寡进展组和广泛进展组,并按耐药类型细分亚组。为减少混杂因素对研究结局的影响,采用倾向评分匹配(PSM)对两组的基线特征进行平衡。采用Kaplan-Meier法分析患者总生存期(OS)和无进展生存期(PFS),并通过Log-rank检验比较组间差异;同时采用二元逻辑回归分析探讨影响进展模式的潜在因素。采用RECIST v1.1标准评估疗效。结果 单因素及多因素Logistic回归分析显示,性别、吸烟史和病理类型是影响进展模式的独立因素。男性和有吸烟史的患者更倾向于发生寡进展,鳞状细胞癌患者更易发生寡进展。两组患者PD-L1表达水平无显著差异(P>0.05)。肺癌的进展模式具有明显的时相依赖性:治疗初期,广泛进展较为常见;而在长期生存的患者中,寡进展占比升高。寡进展组中位PFS和OS均显著长于广泛进展组。进一步分析耐药类型发现,继发性耐药患者中位PFS和OS均显著长于原发性耐药患者,无论是在寡进展还是广泛进展患者中均表现出这一趋势。寡进展组客观缓解率显著高于广泛进展组(P<0.000 1)。结论 寡进展患者(尤其是继发耐药患者)具有显著的生存获益,而原发性耐药患者预后较差,在临床治疗中应根据患者的进展模式和耐药类型动态调整治疗策略,以实现个体化诊疗。

    Abstract:

    Objective To investigate the impact of progression patterns (oligoprogression vs. systemic progression) and resistance types (primary vs. acquired) on survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) following first-line immunotherapy combined with chemotherapy, and to explore their associations with biomarkers such as PD-L1.Methods A total of 579 patients with advanced NSCLC who experienced disease progression after first-line immuno-chemotherapy at Hunan Cancer Hospital between April 2018 and October 2022 were retrospectively enrolled. Patients were stratified by progression pattern into oligoprogression and systemic progression groups, and further subcategorized by resistance type. Propensity score matching (PSM) was used to balance baseline characteristics between groups and minimize confounding. Overall survival (OS) and progression-free survival (PFS) were analyzed using the Kaplan-Meier method and compared with the log-rank test. Binary logistic regression was used to identify factors associated with progression patterns. Tumor response was assessed per RECIST v1.1.Results Multivariate logistic regression identified male sex, smoking history, and squamous cell carcinoma histology as independent factors associated with a higher likelihood of oligoprogression. PD-L1 expression levels did not differ significantly between the two progression groups (P>0.05). Progression patterns demonstrated a time-dependent dynamic: systemic progression was more common early in treatment, while the proportion of oligoprogression increased among long-term survivors. The oligoprogression group had significantly longer median PFS and OS than the systemic progression group. Further analysis by resistance type revealed that patients with acquired resistance had significantly longer median PFS and OS than those with primary resistance, a trend consistent within both progression patterns. The objective response rate was significantly higher in the oligoprogression group (P<0.000 1).Conclusion Patients exhibiting oligoprogression, particularly those with acquired resistance, derive significant survival benefit, whereas those with primary resistance have a poorer prognosis. Treatment strategies should be dynamically adjusted based on progression patterns and resistance types to achieve personalized management.

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黄姣,张澳归,张永昌,曾亮,徐芹芹.非小细胞肺癌不同进展模式的临床特征与治疗结局分析[J].肿瘤药学,2025,15(5):618-629

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