Suppr超能文献

乳腺癌预后的三个黄金指标:一项病例对照研究,采用ROC分析评估与伴(碱性磷酸酶和乳酸脱氢酶)全血细胞计数相关的新比率。

Three gold indicators for breast cancer prognosis: a case-control study with ROC analysis for novel ratios related to CBC with (ALP and LDH).

作者信息

Said Noha Mohamed

机构信息

Biochemistry Division, Chemistry Department, Faculty of Science, Zagzig University, Zagazig, Egypt.

出版信息

Mol Biol Rep. 2019 Apr;46(2):2013-2027. doi: 10.1007/s11033-019-04650-9. Epub 2019 Jan 31.

Abstract

Science is still unable to develop a specific strategy for predicting breast cancer in humans. Several attempts are done to obtain the best and closest prognostic predictive biomarkers for breast cancer. The present study aimed to evaluate the impact of novel ratios calculated between the blood indices with CA15.3, alkaline phosphatase and lactate dehydrogenase as prognostic biomarkers in breast cancer. This study was conducted on two groups (Breast cancer Patients group in comparison to a control group who has no tumor family history). All the volunteers are subjected to the routine analysis included liver and kidney function tests, complete blood count with blood indices, tumor markers (CA15.3) assessment, alkaline phosphatase, and lactate dehydrogenase analysis. Thirty different ratios were calculated in the present research between blood indices and three inexpensive serum biomarkers; CA15.3, alkaline phosphatase and lactate dehydrogenase. Fifteen ratios of them were significant in breast cancer group than the control group. Three ratios (PDW/lymphocytes, MPV/lymphocytes, and ALP/RDW) of them gave a sensitivity of 100% with high specificity as indicators for breast cancer incidence. The correlation between significant ratios was very interesting. The more interesting was in the results of subgroup analysis which showed that the ALP/RDW ratio is more specific for pre-menopause while PDW/lymphocytes ratio is more specific for post-menopause. The ratios PDW/lymphocytes, MPV/lymphocytes, and ALP/RDW can be used as prognostic biomarkers in breast cancer patients. The interesting advantage in the results depends on the availability of these indicators in routine blood analysis and will not increase the cost of the diagnostic plan.

摘要

科学仍无法制定出预测人类乳腺癌的具体策略。人们进行了多次尝试,以获取用于乳腺癌的最佳且最接近的预后预测生物标志物。本研究旨在评估血液指标与CA15.3、碱性磷酸酶和乳酸脱氢酶之间计算得出的新型比值作为乳腺癌预后生物标志物的影响。本研究针对两组人群开展(乳腺癌患者组与无肿瘤家族史的对照组进行比较)。所有志愿者均接受常规分析,包括肝肾功能检查、血常规及血液指标检测、肿瘤标志物(CA15.3)评估、碱性磷酸酶和乳酸脱氢酶分析。本研究计算了血液指标与三种廉价血清生物标志物(CA15.3、碱性磷酸酶和乳酸脱氢酶)之间的30种不同比值。其中15种比值在乳腺癌组中比对照组更具显著性。其中三种比值(血小板分布宽度/淋巴细胞、平均血小板体积/淋巴细胞和碱性磷酸酶/红细胞分布宽度)作为乳腺癌发病率指标时,敏感性达100%且具有高特异性。显著比值之间的相关性非常有趣。更有趣的是亚组分析结果,其表明碱性磷酸酶/红细胞分布宽度比值对绝经前女性更具特异性,而血小板分布宽度/淋巴细胞比值对绝经后女性更具特异性。血小板分布宽度/淋巴细胞、平均血小板体积/淋巴细胞和碱性磷酸酶/红细胞分布宽度比值可作为乳腺癌患者的预后生物标志物。结果中有趣的优势在于这些指标可在常规血液分析中获得,且不会增加诊断方案的成本。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验