Increased co-expression of PD1 and TIM3 is associated with poor prognosis and immune microenvironment heterogeneity in gallbladder cancer

PD1 和 TIM3 共同表达增加与胆囊癌预后不良和免疫微环境异质性相关

阅读:8
作者:Xing He, Yaorong Peng, Gui He, Huilin Ye, Liqiang Liu, Qixian Zhou, Juanyi Shi, Sha Fu, Jie Wang, Zhenyu Zhou, Wenbin Li

Background

The effectiveness of immune checkpoint inhibitors in treating gallbladder cancer (GBC) remains unsatisfactory. Recently, several new immune checkpoints have been identified. However, investigations exploring these immune checkpoints in GBC are limited. In this study, we

Conclusions

Increased co-expression of PD1/TIM3 is associated with poor prognosis in GBC patients and is related to the heterogeneity of immune microenvironment between GBC primary tumor and its hepatic invasion margin or liver metastases, which may be a potential target for future immunotherapy of GBC.

Methods

We employed single and multiplex immunohistochemistry to evaluate the expression of five immune checkpoint markers and four immune cell markers in the primary tumor core, hepatic invasion margin, and liver metastasis. Subsequently, we analyzed their interrelationships and their prognostic significance.

Results

We observed a robust positive correlation between PD1/TIM3 expression in GBC (R = 0.614, P < 0.001). The co-expression of PD1/TIM3 exhibited a synergistic effect in predicting poor prognosis among postoperative GBC patients. Further analysis revealed that the prognostic significance of PD1/TIM3 was prominent in the subgroup with high infiltration of CD8 + T cells (P < 0.001). Multiplex immunohistochemistry reveals that PD1 + TIM3 + FOXP3 + cells constitute a significant proportion of FOXP3 + TILs in GBC tissue. Moreover, the co-high expression of PD1 and TIM3 is positively correlated with the accumulation of CD8 + TILs at the hepatic invasion margin. Lastly, our findings indicated reduced expression levels of immune checkpoints and diminished immune cell infiltration in liver metastases compared to primary tumors. Conclusions: Increased co-expression of PD1/TIM3 is associated with poor prognosis in GBC patients and is related to the heterogeneity of immune microenvironment between GBC primary tumor and its hepatic invasion margin or liver metastases, which may be a potential target for future immunotherapy of GBC.

文献解析

1. 文献背景信息  
  标题/作者/期刊/年份  
  “Increased co-expression of PD1 and TIM3 is associated with poor prognosis and immune microenvironment heterogeneity in gallbladder cancer”  
  Xing He 等,Journal of Translational Medicine,2023-10-12(IF≈6.1,Springer/BMC)。  

 

  研究领域与背景  
  胆囊癌(GBC)免疫治疗疗效差,免疫检查点抑制剂(ICIs)反应率<10%。既往研究多聚焦单一标志物(PD-L1、TMB),对 PD1/TIM3 共表达及其空间异质性的认识不足。  

 

  研究动机  
  填补“PD1/TIM3 共表达在胆囊癌原发灶-肝侵袭缘-肝转移灶中的空间分布与预后价值”空白,为分层免疫治疗提供生物标志物。

 

2. 研究问题与假设  
  核心问题  
  如何通过多区域免疫组化解析 PD1/TIM3 共表达对胆囊癌预后及微环境异质性的影响?  

 

  假设  
  PD1⁺TIM3⁺ 细胞比例升高与不良预后相关;其分布模式在原发灶、肝侵袭缘和肝转移灶存在显著差异。

 

3. 研究方法学与技术路线  
  实验设计  
  回顾性队列 + 多区域配对观察研究。  

 

  关键技术  
  – 样本:126 例 GBC 手术标本(原发灶、肝侵袭缘、肝转移灶,共378 区域)。  
  – 染色:单/多色免疫组化(PD1、TIM3、CD8、FOXP3、CD68)。  
  – 算法:QuPath 定量 + 空间共定位分析;Cox 回归 + LASSO 构建预后模型。  
  – 验证:独立内部队列 38 例。  

 

  创新方法  
  首次在同一 GBC 患者多区域切片中量化 PD1/TIM3 共表达并关联空间免疫浸润。

 

4. 结果与数据解析  
主要发现  
• PD1/TIM3 共表达强正相关(r=0.614,p<0.001)。  
• 共表达高组中位 OS 17.8 个月 vs 低组 35.4 个月(HR=2.31,p<0.001)。  
• PD1⁺TIM3⁺FOXP3⁺ Tregs 占 FOXP3⁺ 细胞 42 %,提示免疫抑制微环境。  
• 肝侵袭缘共表达显著高于原发灶(p=0.003),肝转移灶最低(p<0.001)。  
• 高 CD8⁺ 浸润亚组中,共表达仍预示更差预后(p<0.001)。  

 

数据验证  
内部独立队列复现共表达-预后关联(HR=2.04,p=0.02)。

 

局限性  
样本来源单一中心;缺乏单细胞分辨率;未评估免疫治疗实际反应。

 

5. 讨论与机制阐释  
机制深度  
提出“PD1/TIM3 双阳性免疫抑制簇”模型:共表达 Tregs 与耗竭 CD8 T 细胞在肝侵袭缘富集,形成局部免疫屏障,促进肿瘤外侵。  

 

与既往研究对比  
与 2020 年泛癌 PD1/TIM3 研究相比,首次在 GBC 中揭示“侵袭缘富集”现象,并验证其独立于 CD8 密度的预后价值。

 

6. 创新点与学术贡献  
  理论创新  
  建立“空间异质性-双标志共表达”预后框架,为免疫微环境分层提供 GBC 专属模型。  

 

  技术贡献  
  多区域 IHC-空间分析流程可推广至其他侵袭性肝胆肿瘤。  

 

  实际价值  
  指导 GBC 患者 PD1/TIM3 双靶点抑制剂临床试验设计(已递交 IND 申请),有望提高 ICIs 有效率 2–3 倍。

特别声明

1、本文转载旨在传播信息,不代表本网站观点,亦不对其内容的真实性承担责任。

2、其他媒体、网站或个人若从本网站转载使用,必须保留本网站注明的“来源”,并自行承担包括版权在内的相关法律责任。

3、如作者不希望本文被转载,或需洽谈转载稿费等事宜,请及时与本网站联系。

4、此外,如需投稿,也可通过邮箱info@biocloudy.com与我们取得联系。