Department of Laboratory Medicine, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Front Immunol. 2024 Oct 23;15:1465374. doi: 10.3389/fimmu.2024.1465374. eCollection 2024.
Colorectal cancer (CRC) is a major global health concern, ranking as the third most common cancer and the fourth leading cause of cancer-related deaths worldwide. Currently, the diagnostic accuracy of Lymph node metastasis (LNM) is currently unsatisfactory. Therefore, there is an urgent need to develop a reliable tool that can accurately predict lymph node metastasis (LNM) in patients diagnosed with CRC.
We conducted an extensive proteomics investigation aimed at examining lymph node metastasis (LNM) in individuals diagnosed with colorectal cancer (CRC). In the discovery stage, employing a mass spectrometry-based proteomic approach, we analyzed a cohort of 60 colorectal cancer patients (NM=30, LNM=30), identifying distinct molecular profiles that differentiate patients with and without lymph node metastasis (LNM). Subsequently, we validated the protein classifier associated with lymph node metastasis.
We elucidated a combinatorial predictive protein biomarker that can distinguish patients with and without lymph node metastasis by LC-MS/MS. The classifier achieved an area under the curve (AUC) of 0.892 (95% CI, 0.842-0.941), while in the testing cohort, it attained an AUC of 0.929 (95% CI, 0.824-1.000). Furthermore, the four protein markers demonstrated an AUC of 0.84 (95% CI, 0.783-0.890) in the validation cohort. Additionally, we categorized patients into three types based on immunophenotyping. Type 1 primarily consisted of patients with negative lymph node metastasis (NM), characterized by immune cells such as NK cells, CD4 T effector memory cells, and memory B cells. Type 2 mainly included patients with positive lymph node metastasis (LNM), characterized by immune cells such as mesangial cells, epithelial cells, and mononuclear cells. In Type 1, a prominent upregulation observed in immune inflammation, as well as in glucose and lipid metabolism. In Type 2, significant upregulation was evident in pathways such as pyrimidine metabolism and cell cycle regulation. The findings of this study suggest that immune mechanisms may exert a pivotal role in the process of lymph node metastasis in CRC.
Here, we present plasma protein signatures associated with lymph node metastasis in colorectal cancer (CRC). However, further validation across multiple centers is necessary to generalize these findings.
结直肠癌(CRC)是一个主要的全球健康问题,是全球第三大常见癌症和第四大癌症相关死亡原因。目前,淋巴结转移(LNM)的诊断准确性并不令人满意。因此,迫切需要开发一种可靠的工具,能够准确预测诊断为 CRC 的患者的淋巴结转移(LNM)。
我们进行了广泛的蛋白质组学研究,旨在检查诊断为结直肠癌(CRC)的个体的淋巴结转移(LNM)。在发现阶段,我们使用基于质谱的蛋白质组学方法分析了 60 例结直肠癌患者(NM=30,LNM=30)的队列,确定了区分有和无淋巴结转移(LNM)患者的不同分子特征。随后,我们验证了与淋巴结转移相关的蛋白质分类器。
我们通过 LC-MS/MS 阐明了一种组合预测蛋白生物标志物,可以区分有和无淋巴结转移的患者。该分类器的曲线下面积(AUC)为 0.892(95%置信区间,0.842-0.941),而在测试队列中,AUC 为 0.929(95%置信区间,0.824-1.000)。此外,在验证队列中,四个蛋白标志物的 AUC 为 0.84(95%置信区间,0.783-0.890)。此外,我们根据免疫表型将患者分为三种类型。1 型主要由阴性淋巴结转移(NM)的患者组成,其特征是 NK 细胞、CD4 T 效应记忆细胞和记忆 B 细胞等免疫细胞。2 型主要包括阳性淋巴结转移(LNM)的患者,其特征是系膜细胞、上皮细胞和单核细胞等免疫细胞。在 1 型中,观察到免疫炎症以及葡萄糖和脂质代谢的明显上调。在 2 型中,嘧啶代谢和细胞周期调节等途径的上调明显。本研究结果表明,免疫机制可能在 CRC 淋巴结转移过程中发挥关键作用。
在这里,我们提出了与结直肠癌(CRC)淋巴结转移相关的血浆蛋白特征。然而,需要在多个中心进行进一步验证,以推广这些发现。