宫颈癌的血液学结果、炎症血液学比率和炎症指数:不同癌症分期有何区别?

Phey Liana, Hanif Gusneri Syahbiran, Nurmalia Purnama Sari, Kemas Yakub Rahadiyanto, Raissa Nurwany, Wahyudi Nurhidayat, Tungki Pratama Umar
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引用次数: 0

摘要

背景:宫颈癌是影响全世界妇女的一种常见癌症,是印度尼西亚妇女中第二大常见癌症,占所有癌症相关死亡人数的8.5%。宫颈癌的进展可以通过实验室检查来评估,以检测贫血、血小板计数增加和炎症标志物升高,因此,有效的实验室检查对于宫颈癌的早期发现和治疗至关重要。目的:探讨血液学指标、血液学指标和炎症指标与宫颈癌临床分期的关系。方法:本横断面研究分析了成人宫颈癌患者的医疗记录和实验室结果,包括社会人口统计学状况、组织病理学发现、临床分期和完整的血液学检查。数值数据采用单因素方差分析(正态数据分布),非参数数据采用Kruskal-Wallis检验(异常分布),然后进行适当的事后分析。分类数据采用卡方检验或Fisher精确检验进行分析。P < 0.05为显著性水平。结果:本研究纳入了208例成年宫颈癌患者的资料,发现年龄、婚姻史、产次史、使用激素避孕药与宫颈癌分期无相关性。不同宫颈癌临床分期的临床实验室检查结果,包括血红蛋白(P < 0.001)、白细胞(P < 0.001)、中性粒细胞(P < 0.001)、单核细胞(P = 0.002)、淋巴细胞(P = 0.006)、血小板(P < 0.001)、中性粒细胞-淋巴细胞比值/NLR (P < 0.001)、淋巴细胞-单核细胞比值/LMR (P < 0.001)、血小板-淋巴细胞比值/PLR (P < 0.001),差异均有统计学意义。III + IV期宫颈癌与II期的全身炎症指数(SII)和全身炎症反应指数(SIRI)也有显著差异(SII P < 0.001;SIRI P = 0.001)和I期(SII P < 0.001;SIRI P = 0.016),与前面提到的完全血液学值随癌症进展的变化有关。结论:血液学指标、炎性血液学比值、炎性指标在宫颈癌分期间存在显著差异,可用于评价宫颈癌进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Haematology results, inflammatory haematological ratios, and inflammatory indices in cervical cancer: How is the difference between cancer stage?

Background: Cervical cancer is a prevalent form of cancer affecting women worldwide and it is the second most common cancer among women in Indonesia, accounting for 8.5% of all cancer-related deaths. Cervical cancer progression can be evaluated through laboratory tests to detect anaemia, an increased platelet count, and elevated inflammatory markers, therefore, effective laboratory examination is crucial for early detection and treatment of cervical cancer.

Aim: To evaluate the association between laboratory findings (haematology, haematology index, and inflammatory index) and the clinical stage of cervical cancer.

Methods: This cross-sectional study analyzed adult cervical cancer patients' data from medical records and laboratory results including sociodemographic status, histopathological finding, clinical stage, and complete haematology examination. Numerical data was analyzed by the one-way ANOVA (normal data distribution), while the Kruskal-Wallis test was used for non-parametric data (abnormal distribution), followed by appropriate post-hoc analysis. The categorical data was analyzed by the Chi-square or Fisher Exact tests. The significance level was established at a P value < 0.05.

Results: This study involved the data of 208 adult cervical cancer patients and found no association between age, marital history, parity history, hormonal contraceptive use and cervical cancer stages. There were significant differences in the clinical laboratory test results based on the clinical stage of cervical cancer, including haemoglobin levels (P < 0.001), leucocytes (P < 0.001), neutrophils (P < 0.001), monocytes (P = 0.002), lymphocytes (P = 0.006), platelets (P < 0.001), neutrophil-lymphocyte ratio/NLR (P < 0.001), lymphocyte-monocyte ratio/LMR (P < 0.001), and platelet-lymphocyte ratio/PLR (P < 0.001). There were also significant differences in the systemic inflammatory index (SII) and systematic inflammatory response index (SIRI) between stage III + IV cervical cancer and stage II (SII P < 0.001; SIRI P = 0.001) and stage I (SII P < 0.001; SIRI P = 0.016), associated with the shifts in previously mentioned complete haematological values with cancer advancement.

Conclusion: The haematological parameters, inflammatory haematological ratios, and inflammatory indices exhibited significant differences between cervical cancer stages, therefore these tests can be utilized to evaluate cervical cancer progression.

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