The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Department of Oncology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Aging (Albany NY). 2021 Nov 29;13(22):24768-24785. doi: 10.18632/aging.203714.
Tumor purity plays a vital role in the biological process of solid tumors, but its function in gynecologic cancers remains unclear. This study explored the correlation between tumor purity and immune function of gynecological cancers and its reliability as a prognostic indicator of immunotherapy.
Gynecological cancer-related datasets were downloaded from The Cancer Genome Atlas (TCGA). Tumor purity was calculated by the ESTIMATE algorithm. A LASSO Cox regression analysis was performed to construct the risk score model. A Kaplan-Meier Plotter was used to explore the relationships between tumor purity and cancer prognosis. We performed the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) to explore the pathways in the subgroups. A nomogram was used to quantitatively assess the cancer prognosis.
Tumor purity was negatively correlated with B cell infiltration in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). Approximately 420 genes were positively associated with B cell infiltration and CESC prognosis and were enriched in immune-related signaling pathways. There were 11 key genes used to construct a risk score model. The low-risk group had a higher immune score and better prognosis than the high-risk group. A nomogram based on risk score, T stage, and clinical-stage had good predictive value in quantitatively evaluating CESC prognosis.
This study is the first to reveal the correlation between tumor purity and immunity in CESC and suggests that low-risk patients may be more sensitive to immunotherapy. This provides a theoretical basis for the clinical treatment of CESC.
肿瘤纯度在实体瘤的生物学过程中起着至关重要的作用，但它在妇科癌症中的作用尚不清楚。本研究探讨了妇科癌症中肿瘤纯度与免疫功能的相关性及其作为免疫治疗预后指标的可靠性。
从癌症基因组图谱（TCGA）下载妇科癌症相关数据集。采用 ESTIMATE 算法计算肿瘤纯度。采用 LASSO Cox 回归分析构建风险评分模型。使用 Kaplan-Meier Plotter 探讨肿瘤纯度与癌症预后之间的关系。进行京都基因与基因组百科全书（KEGG）和基因集富集分析（GSEA）以探讨亚组中的途径。使用列线图定量评估癌症预后。
肿瘤纯度与宫颈鳞状细胞癌和子宫内膜腺癌（CESC）中的 B 细胞浸润呈负相关。约 420 个基因与 B 细胞浸润和 CESC 预后呈正相关，富集在免疫相关信号通路中。有 11 个关键基因用于构建风险评分模型。低风险组的免疫评分和预后均高于高风险组。基于风险评分、T 分期和临床分期的列线图在定量评估 CESC 预后方面具有良好的预测价值。
本研究首次揭示了 CESC 中肿瘤纯度与免疫之间的相关性，并表明低危患者可能对免疫治疗更敏感。这为 CESC 的临床治疗提供了理论依据。
