通过全血细胞计数获得的晚期卵巢癌前线治疗患者全身炎症反应指数的预后价值。

IF 2.8 3区 医学 Q2 ONCOLOGY Clinical & Translational Oncology Pub Date : 2024-12-01 Epub Date: 2024-06-10 DOI:10.1007/s12094-024-03523-3
Jaime Espinós, José Manuel Aramendía, Antonio González-Martín, Marta Santisteban, Luisa Sánchez, Ángel Vizcay, José Ángel Mínguez, Juan Luis Alcázar
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引用次数: 0

摘要

目的:各种全身炎症反应指数(SIRI)被反复描述为卵巢癌的预后因素。这些指标尚未在前瞻性试验中得到验证,公布的结果有时也相互矛盾。我们的目的是在本院治疗的一组 III 期和 IV 期卵巢癌患者中探讨它们的作用:我们回顾性研究了中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、单核细胞与淋巴细胞比值(MLR)、红细胞分布宽度(RDW)和平均血小板体积(MPV)对预后的影响:共对 77 名患者进行了分析。诊断时的 NLR > 2.243、初次手术前的 NLR、诊断时的 MLR、诊断时的 PLR > 289.1 和诊断时的 PLR 在无进展生存期的单变量 Cox 回归分析中具有显著性,但在多变量 Cox 回归分析中均不具有显著性。就总生存率而言,诊断时的 NLR > = 2.53、诊断时的 MLR > = 0.245 和诊断时的 PLR > = 198.3 在单变量 COX 回归中具有显著性;只有诊断时的 PLR > = 198.3 在多变量分析中保持显著性:在我们的队列中,PLR > = 198.3 是导致 OS 恶化的独立预后因素。SIRI在卵巢癌中的确切作用尚未确定。如果它们作为预后因素的价值最终得以确定,那么它们将成为预测晚期卵巢癌患者预后的一种简单而经济的方法。因此,现在应该开展前瞻性、多中心、大样本的研究,以最终确定 SIRI 在卵巢癌中的作用(如果有的话)。
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Prognostic value of systemic inflammation response indexes obtained from the complete blood count in patients treated for advanced ovarian carcinoma in front line.

Objective: Various systemic inflammation response indexes (SIRI) have repeatedly been described as prognostic factors in ovarian cancer. They have not been validated in prospective trials and published results are sometimes contradictory. We aimed to explore their role in a cohort of patients diagnosed with stage III and IV ovarian cancer treated at our institution.

Methods: We retrospectively examined the prognostic influence of the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the monocyte-to-lymphocyte ratio (MLR), the red cell distribution width (RDW), and the mean platelet volume (MPV).

Results: A total of 77 patients were analyzed. NLR > 2.243 at diagnosis, NLR before primary surgery, MLR at diagnosis, PLR > 289.1 at diagnosis, and PLR at diagnosis were significant in univariate Cox regression for progression-free survival, but none of them retained their significance in the multivariate Cox regression analysis. For overall survival, NLR >  = 2.53 at diagnosis, MLR >  = 0.245 at diagnosis, and PLR >  = 198.3 at diagnosis resulted significant in univariate COX regression; only PLR >  = 198.3 at diagnosis retained its significance in the multivariate analysis.

Conclusion: In our cohort, PLR >  = 198.3 was an independent prognostic factor for worse OS. The definitive role of SIRI in ovarian cancer has not yet been established. If their value as prognostic factors could finally be established, they would become a simple and economical method to predict prognosis in patients with advanced ovarian cancer. Therefore, it is time to conduct prospective, multicenter studies with larger samples to definitively establish its role in ovarian cancer, if any.

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来源期刊
CiteScore
6.20
自引率
2.90%
发文量
240
审稿时长
1 months
期刊介绍: Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
期刊最新文献
Correction: Multi‑index comprehensive evaluation of the efficacy and response mechanism of immunotherapy in non‑small cell lung cancer. A retrospective analysis of the clinicopathological features and prognostic value of MAPK12 protein expression in diffuse large B-cell lymphoma. Identification of SMC2 and SMC4 as prognostic markers in breast cancer through bioinformatics analysis. ITGB4 is a prognostic biomarker and correlated with lung adenocarcinoma brain metastasis. The value of combined MRI, enhanced CT and 18F-FDG PET/CT in the diagnosis of recurrence and metastasis after surgery for ovarian cancer.
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