ArticleScientific reports2023
Comprehensive prognostic effects of systemic inflammation and Insulin resistance in women with breast cancer with different BMI: a prospective multicenter cohort.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 26 citations in OpenAlex.
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- Role of the C-reactive protein-albumin ratio in predicting survival after breast cancer: A systematic review and meta-analysis.Pakistan journal of medical sciences · 2026Review
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- Adipocyte-derived IL6 and triple-negative breast cancer cell-derived CXCL1 co-activate STAT3/NF-κB pathway to mediate the crosstalk between adipocytes and triple-negative breast cancer cells.Cell death discovery · 2025Article
- Exploring the effects of exercise on immune cell function and tumour infiltration in patients with breast cancer receiving neoadjuvant chemotherapy - a feasibility trial.Brain, behavior, & immunity - health · 2025Article
- Prognostic value of preoperative modified Glasgow prognostic score in predicting overall survival in breast cancer patients: A retrospective cohort study.Oncology letters · 2025Article
- Low Skeletal Muscle Radiodensity Predicts Response to CDK4/6 Inhibitors Plus Aromatase Inhibitors in Advanced Breast Cancer.Journal of cachexia, sarcopenia and muscle · 2025Article
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- Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles.Frontiers in oncology · 2025Article
- Unraveling the anti-inflammatory effects of Mediterranean diet in patients with cancer remission.Frontiers in immunology · 2025Article
- Impact of Structural Racism and Social Determinants of Health on Disparities in Breast Cancer Mortality.Cancer research · 2024Review
- Circulating C-reactive protein levels as a prognostic biomarker in breast cancer across body mass index groups.Scientific reports · 2024Article
- The Association between the JAK-STAT Pathway and Hypertension among Kenyan Women Diagnosed with Breast Cancer.bioRxiv : the preprint server for biology · 2024Article
- Relationship between educational level and survival of patients with cancer: A multicentre cohort study.Cancer medicine · 2024Article
- Effect of body mass index on breast cancer prognosis: a focus on ER/PR status and subtype-specific recurrence risk.American journal of translational research · 2024Article
- Cholesterol-modified prognostic nutritional index (CPNI) as an effective tool for assessing the nutrition status and predicting survival in patients with breast cancer.BMC medicine · 2023Article
- Prognostic value of insulin resistance in patients with female reproductive system malignancies: A multicenter cohort study.Immunity, inflammation and disease · 2023Article
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Authors and funding
22 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the prognostic value of systemic inflammation and insulin resistance in women with breast cancer with different body mass index (BMI). This multicenter, prospective study included 514 women with breast cancer. Multivariate survival analysis showed that patients with high C-reactive protein (CRP), high CRP to albumin ratio (CAR), high lymphocyte to CRP ratio (LCR), high low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LHR), and high triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) were significantly associated with worse prognosis. The mortality rate of patients with both high CAR and high LHR or both low LCR and high LHR were 3.91-fold or 3.89-fold higher than patients with both low CAR and low LHR or both high LCR and low LHR, respectively. Furthermore, the combination of LCR and LHR significantly predicted survival in patients within the high BMI group. The CRP, CAR, LCR, LHR, and TG/HDL-c were associated with poor survival in women with breast cancer. The combination of CAR and LHR or LCR and LHR could better predict the prognostic outcomes of women with breast cancer, while the combination of LCR and LHR could better predict the prognosis of those patients with overweight or obese patients.
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