卵巢浆液性囊腺癌约占卵巢癌的 90%，诊断时常常已处于晚期，导致治疗效果不佳。鉴于该疾病的恶性性质，用于准确预测和个性化治疗的有效生物标志物仍然是临床迫切需要的。在这项研究中，我们分析了 453 例卵巢浆液性囊腺癌和 68 例邻近非癌样本的微生物含量。使用单变量 Cox 回归模型来识别与生存显着相关的微生物，并使用 LASSO Cox 回归分析构建预后风险评分模型。随后根据风险评分将患者分为高风险组和低风险组。生存分析显示，低风险组患者的总体生存率较高。构建列线图以便于预后模型的可视化。对两组的免疫细胞浸润和免疫检查点基因表达的分析表明，这两个参数都与风险水平呈正相关，表明高风险人群的免疫反应增强。我们的研究结果表明，卵巢浆液性囊腺癌中的微生物谱可能作为可行的临床预后指标。这项研究提供了关于肿瘤内微生物群落对疾病预后的潜在影响的新见解，并为未来针对这些微生物的治疗干预开辟了途径。© 2024。作者。

Ovarian serous cystadenocarcinoma, accounting for about 90% of ovarian cancers, is frequently diagnosed at advanced stages, leading to suboptimal treatment outcomes. Given the malignant nature of the disease, effective biomarkers for accurate prediction and personalized treatment remain an urgent clinical need.In this study, we analyzed the microbial contents of 453 ovarian serous cystadenocarcinoma and 68 adjacent non-cancerous samples. A univariate Cox regression model was used to identify microorganisms significantly associated with survival and a prognostic risk score model constructed using LASSO Cox regression analysis. Patients were subsequently categorized into high-risk and low-risk groups based on their risk scores.Survival analysis revealed that patients in the low-risk group had a higher overall survival rate. A nomogram was constructed for easy visualization of the prognostic model. Analysis of immune cell infiltration and immune checkpoint gene expression in both groups showed that both parameters were positively correlated with the risk level, indicating an increased immune response in higher risk groups.Our findings suggest that microbial profiles in ovarian serous cystadenocarcinoma may serve as viable clinical prognostic indicators. This study provides novel insights into the potential impact of intratumoral microbial communities on disease prognosis and opens avenues for future therapeutic interventions targeting these microorganisms.© 2024. The Author(s).