医学
内科学
血栓形成
淋巴细胞
乳腺癌
免疫疗法
背景(考古学)
前瞻性队列研究
静脉血栓形成
癌症
肿瘤科
化疗
中性粒细胞与淋巴细胞比率
胃肠病学
生物
古生物学
作者
Alyssa Qian,Armita Zandi,Regan Bucciol,Maha Othman
标识
DOI:10.1097/mbc.0000000000001341
摘要
Objectives Breast cancer (BC) accounts for 12.3% of all cancer-associated venous thromboembolism (VTE). Platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) are recognized inflammatory biomarkers but have not been incorporated into thrombosis risk stratification models. We evaluated NLR and PLR as predictive biomarkers for VTE in BC patients to determine their optimal predictive cutoffs and net predictive value before and after treatment. Methods We conducted a prospective pilot study that involved 56 women with BC, recruited prior to treatment (chemotherapy and immunotherapy) initiation with at least 6-month monitoring for VTE. NLR and PLR were assessed pre and posttreatment. Results Five patients (8.9%) developed VTE. NLR and PLR increased significantly posttreatment ( P = 0.001). Post, not pretreatment, NLR ( P = 0.029) and PLR ( P = 0.033) were significantly associated with VTE occurrence. Receiver Operating curve analysis indicated enhanced predictive capacity for VTE postimmunotherapy. Optimal posttreatment cutoffs were 3.6 for NLR and 280 for PLR, aligning with existing literature, with slightly elevated NLR. Conclusions Posttreatment NLR and PLR have higher predictability for VTE in patients receiving immunotherapy compared to chemotherapy. NLR outperforms PLR, particularly postimmunotherapy. This data holds promise for thrombosis risk stratification in the context of immunotherapy but requires evaluation in larger studies.
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