RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:AI-powered immune profiling from histopathology slides for chemo-radiotherapy outcome prediction in rectal cancer: a study using clinical trial and real-world cohorts.
AI-powered immune profiling from histopathology slides for chemo-radiotherapy outcome prediction in rectal cancer: a study using clinical trial and real-world cohorts.
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这些发现提示,AI 驱动的免疫分析在接受 nCRT 的 LARC 患者临床决策中具有潜在应用价值。
肿瘤免疫微环境对局部晚期直肠癌(LARC)预后的影响尚不明确。本研究定量评估TIL(肿瘤浸润淋巴细胞)(TILs)、肿瘤相关巨噬细胞(TAMs)、有丝分裂活性及DNA突变在接受新辅助放化疗(nCRT)的LARC患者预后预测中的协同影响。
三个队列(ARISTOTLE-RC、UCLH-RC、TCGA-CRC)根据AI量化的TIL、TAM和核分裂象密度进行分层,临界值在留出子集上确定,并与DNA突变整合,以评估与无病生存期(DFS)和总生存期(OS)的相关性。还评估了CRT前后的免疫细胞动态变化。
在ARISTOTLE-RC中,TIL+患者的DFS(HR = 0.59,95% CI:0.39-0.90,p = 0.013)和OS(HR = 0.42,95% CI:0.24-0.73,p < 0.005)显著改善,而TAM+与较短的DFS相关(HR = 1.65,95% CI:1.00-2.72,p = 0.045)。在UCLH-RC和TCGA-CRC中观察到相似的模式。TIL+/KRAS-患者的DFS(HR = 0.41,95% CI:0.22-0.75,p < 0.005)和OS(HR = 0.28,95% CI:0.13-0.62,p < 0.005)显著改善。在TP53突变患者中,TAM+组显示较短的DFS(HR = 1.46,95% CI:1.07-2.01,p = 0.0151),而在TP53野生型患者中,两个亚组之间未观察到DFS差异(HR = 1.00,95% CI:0.66-1.52,p = 0.9930)。在nCRT后从TIL-转变为TIL+的患者DFS改善(HR = 0.70,95% CI:0.50-0.97,p = 0.028),并表现出显著更高的治疗前有丝分裂指数(平均差 = 9.36,95% CI:1.87-16.85,p = 0.0385)。
The impact of the tumour-immune microenvironment on locally advanced rectal cancer (LARC) outcomes remains unclear. This study quantitatively assesses the synergistic influence of tumour-infiltrating lymphocytes (TILs), tumour-associated macrophages (TAMs), mitotic activity, and DNA mutations in predicting outcomes for LARC patients undergoing neoadjuvant chemo-radiotherapy (nCRT).
Three cohorts (ARISTOTLE-RC, UCLH-RC, TCGA-CRC) were stratified by densities of AI-quantified TILs, TAMs, and mitotic figures with cut-offs identified on a hold-out subset and integrated with DNA mutations to assess correlations with disease-free survival (DFS) and overall survival (OS). Immune cell dynamics pre- and post-CRT were also evaluated.
In ARISTOTLE-RC, TIL + patients had significantly improved DFS (HR = 0.59, 95% CI: 0.39-0.90, p = 0.013) and OS (HR = 0.42, 95% CI: 0.24-0.73, p < 0.005), while TAM + was associated with shorter DFS (HR = 1.65, 95% CI: 1.00-2.72, p = 0.045). Similar patterns were observed in UCLH-RC and TCGA-CRC. TIL + /KRAS - patients had significantly improved DFS (HR = 0.41, 95% CI: 0.22-0.75, p < 0.005) and OS (HR = 0.28, 95% CI: 0.13-0.62, p < 0.005). In TP53-mutated patients, TAM + group showed shorter DFS (HR = 1.46, 95% CI: 1.07-2.01, p = 0.0151), while among TP53-wild-type patients, no difference in DFS (HR = 1.00, 95% CI: 0.66-1.52, p = 0.9930) was observed between the two subgroups. Patients who transitioned after nCRT from TIL - to TIL + had improved DFS (HR = 0.70, 95% CI: 0.50-0.97, p = 0.028) and exhibited a significantly higher pre-treatment mitotic index (mean difference = 9.36, 95% CI: 1.87-16.85, p = 0.0385). INTERPRETATION: These findings suggest the potential utility of AI-driven immune profiling for clinical decision-making in LARC patients undergoing nCRT. FUNDING: Cancer Research UK (RRNPSF-Jan21/100001, A18745, C7893/A2899), UK Research and Innovation (MR/T040785/1).
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