Li Chunbo, Ding Yan, Zhang Xuyin, Hua Keqin
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, 419 FangXie Road, Shanghai, 200011, China.
Discov Oncol. 2022 Jul 14;13(1):65. doi: 10.1007/s12672-022-00528-8.
Immunotherapy has emerged as a novel therapy, while many patients are refractory. Although, several biomarkers have been identified as predictive biomarkers for immunotherapy, such as tumor specific genes, PD-1/PD-L1, tumor mutation burn (TMB), and microsatellite instability (MSI), results remain unsatisfactory. The aim of this study is to evaluate the value of LRP2 mutations in predicating cancer immunotherapy.
We investigated the characteristics of low-density lipoprotein receptor-related protein 2 (LRP2) mutation in the cancer genome atlas (TCGA) and explored the potential association of LRP2 mutations with immunotherapy. Characteristics of LRP2 mutations in 33 cancer types were analyzed using large-scale public data. The association of LRP2 mutations with immune cell infiltration and immunotherapy efficacy was evaluated. Finally, a LPR2 mutation signature (LMS) was developed and validated by TCGA-UCEC and pan-cancer cohorts. Furthermore, we demonstrated the predictive power of LMS score in independent immunotherapy cohorts by performing a meta-analysis.
Our results revealed that patients with LRP2 mutant had higher TMB and MSI compared with patients without LRP2 mutations. LRP2 mutations were associated with high levels of immune cells infiltration, immune-related genes expression and enrichment of immune related signaling pathways. Importantly, LRP2-mutated patients had a long overall survival (OS) after immunotherapy. In the endometrial cancer (EC) cohort, we found that patients with LRP2 mutations belonged to the POLE and MSI-H type and had a better prognosis. Finally, we developed a LRP2 mutations signature (LMS), that was significantly associated with prognosis in patients receiving immunotherapy.
These results indicated that LRP2 mutations can serve as a biomarker for personalized tumor immunotherapy. Importantly, LMS is a potential predictor of patients' prognosis after immunotherapy.
免疫疗法已成为一种新型疗法,但许多患者对此疗法耐药。尽管已经确定了几种生物标志物作为免疫疗法的预测性生物标志物,如肿瘤特异性基因、程序性死亡受体1/程序性死亡配体1(PD-1/PD-L1)、肿瘤突变负荷(TMB)和微卫星不稳定性(MSI),但结果仍不尽人意。本研究旨在评估低密度脂蛋白受体相关蛋白2(LRP2)突变在预测癌症免疫治疗中的价值。
我们研究了癌症基因组图谱(TCGA)中低密度脂蛋白受体相关蛋白2(LRP2)突变的特征,并探讨了LRP2突变与免疫治疗的潜在关联。使用大规模公共数据对33种癌症类型中LRP2突变的特征进行了分析。评估了LRP2突变与免疫细胞浸润和免疫治疗疗效的关联。最后,开发了一种LRP2突变特征(LMS),并通过TCGA子宫内膜癌(UCEC)队列和泛癌队列进行了验证。此外,我们通过荟萃分析证明了LMS评分在独立免疫治疗队列中的预测能力。
我们的结果显示,与未发生LRP2突变的患者相比,发生LRP2突变的患者具有更高的TMB和MSI。LRP2突变与高水平的免疫细胞浸润、免疫相关基因表达以及免疫相关信号通路的富集相关。重要的是,发生LRP2突变的患者在免疫治疗后总生存期(OS)较长。在内膜癌(EC)队列中,我们发现发生LRP2突变的患者属于POLE和微卫星高度不稳定(MSI-H)类型,预后较好。最后,我们开发了一种LRP2突变特征(LMS),其与接受免疫治疗患者的预后显著相关。
这些结果表明,LRP2突变可作为个性化肿瘤免疫治疗的生物标志物。重要的是,LMS是免疫治疗后患者预后的潜在预测指标。