Comprehensive assessment of the association between tumor-infiltrating immune cells and the prognosis of renal cell carcinoma.

IF 2.6 Q3 ONCOLOGY World journal of clinical oncology Pub Date : 2024-10-24 DOI:10.5306/wjco.v15.i10.1280

Guo-Hao Wei, Xi-Yi Wei, Ling-Yao Fan, Wen-Zheng Zhou, Ming Sun, Chuan-Dong Zhu

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Abstract

Background: According to current statistics, renal cancer accounts for 3% of all cancers worldwide. Renal cell carcinoma (RCC) is the most common solid lesion in the kidney and accounts for approximately 90% of all renal malignancies. Increasing evidence has shown an association between immune infiltration in RCC and clinical outcomes. To discover possible targets for the immune system, we investigated the link between tumor-infiltrating immune cells (TIICs) and the prognosis of RCC.

Aim: To investigate the effects of 22 TIICs on the prognosis of RCC patients and identify potential therapeutic targets for RCC immunotherapy.

Methods: The CIBERSORT algorithm partitioned the 22 TIICs from the Cancer Genome Atlas cohort into proportions. Cox regression analysis was employed to evaluate the impact of 22 TIICs on the probability of developing RCC. A predictive model for immunological risk was developed by analyzing the statistical relationship between the subpopulations of TIICs and survival outcomes. Furthermore, multivariate Cox regression analysis was used to investigate independent factors for the prognostic prediction of RCC. A value of P < 0.05 was regarded as statistically significant.

Results: Compared to normal tissues, RCC tissues exhibited a distinct infiltration of immune cells. An immune risk score model was established and univariate Cox regression analysis revealed a significant association between four immune cell types and the survival risk connected to RCC. High-risk individuals were correlated to poorer outcomes according to the Kaplan-Meier survival curve (P = 1^E-05). The immunological risk score model was demonstrated to be a dependable predictor of survival risk (area under the curve = 0.747) via the receiver operating characteristic curve. According to multivariate Cox regression analysis, the immune risk score model independently predicted RCC patients' prognosis (hazard ratio = 1.550, 95%CI: 1.342-1.791; P < 0.001). Finally, we established a nomogram that accurately and comprehensively forecast the survival of patients with RCC.

Conclusion: TIICs play various roles in RCC prognosis. The immunological risk score is an independent predictor of poor survival in kidney cancer cases.

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全面评估肿瘤浸润免疫细胞与肾细胞癌预后之间的关联。

背景：根据目前的统计数据，肾癌占全球癌症总数的 3%。肾细胞癌（RCC）是肾脏中最常见的实体瘤，约占所有肾脏恶性肿瘤的 90%。越来越多的证据表明，RCC 中的免疫浸润与临床结果之间存在关联。为了发现免疫系统的可能靶点，我们研究了肿瘤浸润免疫细胞（TIIC）与RCC预后之间的联系。目的：研究22种TIIC对RCC患者预后的影响，并确定RCC免疫疗法的潜在治疗靶点：方法：CIBERSORT算法将癌症基因组图谱队列中的22个TIIC按比例划分。方法：CIBERSORT算法将癌症基因组图谱队列中的22个TIIC划分为不同的比例，采用Cox回归分析评估22个TIIC对RCC发病概率的影响。通过分析 TIICs 亚群与生存结果之间的统计关系，建立了免疫风险预测模型。此外，还采用了多变量考克斯回归分析来研究预测RCC预后的独立因素。P<0.05为差异有统计学意义：结果：与正常组织相比，RCC组织表现出明显的免疫细胞浸润。免疫风险评分模型已经建立，单变量 Cox 回归分析显示，四种免疫细胞类型与 RCC 的生存风险有显著关联。根据 Kaplan-Meier 生存曲线（P = 1E-05），高风险人群的预后较差。通过接收者操作特征曲线，免疫学风险评分模型被证明是生存风险的可靠预测指标（曲线下面积 = 0.747）。根据多变量 Cox 回归分析，免疫风险评分模型可独立预测 RCC 患者的预后（危险比 = 1.550，95%CI：1.342-1.791；P <0.001）。最后，我们建立了一个能准确、全面预测RCC患者生存期的提名图：结论：TIIC在RCC预后中发挥着不同的作用。结论：TIIC在RCC预后中起着不同的作用，免疫学风险评分是肾癌患者不良生存率的独立预测因子。

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来源期刊

World journal of clinical oncology ONCOLOGY-

自引率

0.00%

发文量

585

期刊介绍： The WJCO is a high-quality, peer reviewed, open-access journal. The primary task of WJCO is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of oncology. In order to promote productive academic communication, the peer review process for the WJCO is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJCO are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in oncology. Scope: Art of Oncology, Biology of Neoplasia, Breast Cancer, Cancer Prevention and Control, Cancer-Related Complications, Diagnosis in Oncology, Gastrointestinal Cancer, Genetic Testing For Cancer, Gynecologic Cancer, Head and Neck Cancer, Hematologic Malignancy, Lung Cancer, Melanoma, Molecular Oncology, Neurooncology, Palliative and Supportive Care, Pediatric Oncology, Surgical Oncology, Translational Oncology, and Urologic Oncology.