ABO Blood Type and Pretreatment Systemic Inflammatory Response Index Associated with Lymph Node Metastasis in Patients with Breast Cancer

Nating Xiong,1 Wendao Han,1 Zhikang Yu2,3 1Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China; 2Institute of Basic Medical Sciences, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China; 3Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of ChinaCorrespondence: Zhikang Yu, Institute of Basic Medical Sciences, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China, Email [email protected]: Lymph node metastasis (LNM) is an important prognostic factor for breast cancer. Inflammatory stimulation can change tumor microenvironment and lead to LNM, but the relationship between LNM and peripheral immunoinflammatory indices has not been clarified in breast cancer.Methods: The clinical information of 1918 patients with breast cancer admitted to Meizhou People’s Hospital from October 2017 to December 2023 were retrospectively analyzed. The relationship of clinicopathological features (age, body mass index (BMI), ABO blood types, family history of cancer, tumor site, disease stage, LNM, distant metastasis, and molecular subtypes) and peripheral immunoinflammatory indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) were analyzed.Results: There were 935 (48.7%) patients had no LNM and 983 (51.3%) had LNM. There were statistically significant differences in the distributions of ABO blood groups (p=0.022) and molecular subtypes (p< 0.001) between the two groups. PIV, SII, and SIRI levels in patients with LNM were significantly higher than those without LNM (all p< 0.05). The proportions of LNM in patients with high PIV, SII, and SIRI levels were higher than those with low PIV, SII, and SIRI levels, respectively. Logistic regression analysis showed that non-O blood type (non-O blood type vs O blood type, odds ratio (OR): 1.327, 95% confidence interval (CI): 1.056– 1.667, p=0.015), luminal B subtype (luminal B vs luminal A, OR: 2.939, 95% CI: 2.147– 4.022, p< 0.001), HER2+ subtype (HER2+ vs luminal A, OR: 2.044, 95% CI: 1.388– 3.009, p< 0.001), and high SIRI level (≥ 0.875 vs < 0.875, OR: 1.572, 95% CI: 1.092– 2.265, p=0.015) were independently associated with LNM.Conclusion: Non-O blood type, luminal B and HER2+ subtypes, and high SIRI level (≥ 0.875) have potential role in predicting the status of LNM in breast cancer patients.Keywords: breast cancer, lymph node metastasis, system inflammation response index, ABO blood group

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SHILAP Revista de lepidopterología
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2024-10-01
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Inflammatory Biomarkers in Disease Prognosis
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article

ABO Blood Type and Pretreatment Systemic Inflammatory Response Index Associated with Lymph Node Metastasis in Patients with Breast Cancer

SHILAP Revista de lepidopterología
Inflammatory Biomarkers in Disease Prognosis
article

ABO Blood Type and Pretreatment Systemic Inflammatory Response Index Associated with Lymph Node Metastasis in Patients with Breast Cancer

article en

Abstract

Nating Xiong,1 Wendao Han,1 Zhikang Yu2,3 1Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China; 2Institute of Basic Medical Sciences, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China; 3Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of ChinaCorrespondence: Zhikang Yu, Institute of Basic Medical Sciences, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China, Email [email protected]: Lymph node metastasis (LNM) is an important prognostic factor for breast cancer. Inflammatory stimulation can change tumor microenvironment and lead to LNM, but the relationship between LNM and peripheral immunoinflammatory indices has not been clarified in breast cancer.Methods: The clinical information of 1918 patients with breast cancer admitted to Meizhou People’s Hospital from October 2017 to December 2023 were retrospectively analyzed. The relationship of clinicopathological features (age, body mass index (BMI), ABO blood types, family history of cancer, tumor site, disease stage, LNM, distant metastasis, and molecular subtypes) and peripheral immunoinflammatory indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) were analyzed.Results: There were 935 (48.7%) patients had no LNM and 983 (51.3%) had LNM. There were statistically significant differences in the distributions of ABO blood groups (p=0.022) and molecular subtypes (p< 0.001) between the two groups. PIV, SII, and SIRI levels in patients with LNM were significantly higher than those without LNM (all p< 0.05). The proportions of LNM in patients with high PIV, SII, and SIRI levels were higher than those with low PIV, SII, and SIRI levels, respectively. Logistic regression analysis showed that non-O blood type (non-O blood type vs O blood type, odds ratio (OR): 1.327, 95% confidence interval (CI): 1.056– 1.667, p=0.015), luminal B subtype (luminal B vs luminal A, OR: 2.939, 95% CI: 2.147– 4.022, p< 0.001), HER2+ subtype (HER2+ vs luminal A, OR: 2.044, 95% CI: 1.388– 3.009, p< 0.001), and high SIRI level (≥ 0.875 vs < 0.875, OR: 1.572, 95% CI: 1.092– 2.265, p=0.015) were independently associated with LNM.Conclusion: Non-O blood type, luminal B and HER2+ subtypes, and high SIRI level (≥ 0.875) have potential role in predicting the status of LNM in breast cancer patients.Keywords: breast cancer, lymph node metastasis, system inflammation response index, ABO blood group

SHILAP Revista de lepidopterología
Openalex Percentile: Top 45%
Inflammatory Biomarkers in Disease Prognosis
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