The efficacy of neoadjuvant immunotherapy and lymphocyte subset predictors in locally advanced esophageal squamous cell carcinoma: A retrospective study

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-09-14 DOI:10.1002/cam4.70228
Ruotong Wang, Shaodi Wen, Xiaoyue Du, Jingwei Xia, Bowen Hu, Yihan Zhang, Guoren Zhou, Feng Jiang, Xiaomin Lu, Miaolin Zhu, Xinyu Xu, Bo Shen
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Abstract

Background

Despite the recognized therapeutic potential of programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors in advanced esophageal squamous cell carcinoma (ESCC), their role in neoadjuvant therapy and reliable efficacy biomarkers remain elusive.

Materials and Methods

We retrospectively analyzed locally advanced ESCC patients who underwent surgery following a 2-cycle platinum and paclitaxel-based treatment, with or without PD-1 inhibitors (January 2020–March 2023). We assessed peripheral blood indexes and tertiary lymphoid structures (TLS) density to evaluate their impact on pathological response and prognosis, leading to a clinical prediction model for treatment efficacy and survival.

Results

Of the 157 patients recruited, 106 received immunochemotherapy (ICT) and 51 received chemotherapy (CT) alone. The ICT group demonstrated a superior pathological response rate (PRR) (47.2% vs. 29.4%, p = 0.034) with comparable adverse events and postoperative complications. The ICT group also showed a median disease-free survival (DFS) of 39.8 months, unattained by the CT group. The 1-year DFS and overall survival (OS) rates were 73% and 91% for the ICT group, and 68% and 81% for the CT group, respectively.

We found higher baseline activated T cells, lower baseline Treg cells, and a decreased posttreatment total lymphocyte and CD4+/CD8+ ratio predicted an enhanced PRR. Reduced posttreatment CD4+/CD8+ ratio and increased NK cells were associated with prolonged survival, while higher TLS density indicated poorer prognosis. Among ICT group, a lower posttreatment CD4+/CD8+ ratio indicated longer DFS and reduced posttreatment B cells indicated longer OS. A nomogram integrating these predictors was developed to forecast treatment efficacy and survival.

Conclusion

The combination of PD-1 inhibitors and chemotherapy appears promising for locally advanced ESCC. Evaluating the differentiation status and dynamic changes of peripheral blood immune cells may provide valuable predictive insights into treatment efficacy and prognosis.

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局部晚期食管鳞状细胞癌新辅助免疫疗法的疗效和淋巴细胞亚群预测指标:一项回顾性研究
背景 尽管程序性细胞死亡蛋白1/程序性死亡配体1(PD-1/PD-L1)抑制剂在晚期食管鳞状细胞癌(ESCC)中的治疗潜力已得到公认,但其在新辅助治疗中的作用和可靠的疗效生物标志物仍然难以确定。 材料与方法 我们回顾性分析了在接受以铂类和紫杉醇为基础的 2 个周期治疗(无论是否使用 PD-1 抑制剂)后接受手术的局部晚期 ESCC 患者(2020 年 1 月至 2023 年 3 月)。我们评估了外周血指标和三级淋巴结构(TLS)密度,以评估它们对病理反应和预后的影响,从而建立了一个治疗效果和生存期的临床预测模型。 结果 在招募的157名患者中,106人接受了免疫化疗(ICT),51人接受了单纯化疗(CT)。ICT组的病理反应率(PRR)较高(47.2% vs. 29.4%,p = 0.034),不良反应和术后并发症的发生率相当。ICT 组的中位无病生存期(DFS)也达到了 39.8 个月,这是 CT 组无法达到的。ICT 组的 1 年 DFS 和总生存率(OS)分别为 73% 和 91%,CT 组为 68% 和 81%。 我们发现,较高的基线活化 T 细胞、较低的基线 Treg 细胞以及治疗后总淋巴细胞和 CD4+/CD8+ 比率的降低预示着 PRR 的增强。治疗后 CD4+/CD8+ 比率降低和 NK 细胞增加与生存期延长有关,而 TLS 密度越高预示着预后越差。在 ICT 组中,治疗后 CD4+/CD8+ 比率降低表示 DFS 延长,治疗后 B 细胞减少表示 OS 延长。综合这些预测指标绘制的提名图可预测疗效和生存期。 结论 PD-1 抑制剂和化疗联合治疗局部晚期 ESCC 似乎很有前景。评估外周血免疫细胞的分化状态和动态变化可为预测疗效和预后提供有价值的见解。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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