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治疗前系统炎症反应指数(SIRI)是评估乳腺癌患者新辅助治疗疗效的有价值的标志物
Authors Zhang Y, Wu J, Chen W, Liang X
Received 12 May 2024
Accepted for publication 20 September 2024
Published 25 September 2024 Volume 2024:17 Pages 4359—4368
DOI https://doi.org/10.2147/IJGM.S478000
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Professor Kenneth Adler
Yunuo Zhang,1 Jingna Wu,1 Weiming Chen,2 Xinhong Liang3
1Department of Medical Oncology, Meizhou People’s Hospital, Meizhou, People’s Republic of China; 2Data Center, Meizhou People’s Hospital, Meizhou, People’s Republic of China; 3Radiology Department, Meizhou People’s Hospital, Meizhou, People’s Republic of China
Correspondence: Xinhong Liang, Radiology Department, Meizhou People’s Hospital, Meizhou, People’s Republic of China, Email xinhong1988liang@163.com
Objective: Immune inflammatory response are involved in the development and progression of cancer. However, there are still inconsistent research results on the value of peripheral blood inflammatory indicators for evaluating the efficacy of neoadjuvant therapy (NAT) in breast cancer. The purpose of this study was to investigate the relationship between pretreatment systemic immune inflammatory response index (SII), systemic inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and NAT efficacy in breast cancer.
Methods: A retrospective analysis was performed on 326 patients with breast cancer who underwent NAT at Meizhou People’s Hospital from November 2017 to October 2023. Clinicopathological data was collected, including gender, age, body mass index (BMI), hypertension, diabetes mellitus, family history of cancer, TNM stage, and the molecular subtypes of breast cancer. The optimal cutoff values of SII, SIRI, NLR, PLR, and LMR were calculated using receiver operating characteristic (ROC) curve, and the relationship between inflammatory indexes and other clinicopathological features and the efficacy of NAT was analyzed.
Results: In this study, 162 (49.7%) breast cancer patients did not respond to NAT and 164 (50.3%) patients responded to NAT. The levels of SII (p=0.002), SIRI (p< 0.001), and NLR (p=0.006) in patients who responded to NAT were significantly higher than those in patients who did not. When the efficacy of NAT was considered as the endpoint of SII, SIRI, and NLR, the critical value of the SII, SIRI, and NLR was 572.53 (under the ROC curve (AUC)=0.598), 0.745 (AUC=0.630), and 2.325 (AUC=0.588), respectively. Logistic regression analysis showed that a high SIRI level (≥ 0.745/< 0.745, OR: 2.447, 95% CI: 1.375– 4.357, p=0.002) was an independent factor associated with the efficacy of NAT in breast cancer patients.
Conclusion: High SIRI levels (≥ 0.745) may be an independent factor associated with the efficacy of NAT in patients with breast cancer.
Keywords: breast cancer, neoadjuvant therapy, systemic immune inflammatory response index, efficacy