Details

Autor(en) / Beteiligte

• Ruan, Guo-Tian
• Xie, Hai-Lun
• Hu, Chun-Lei
• Liu, Chen-An
• Zhang, He-Yang
• Zhang, Qi
• Wang, Zi-Wen
• Zhang, Xi
• Ge, Yi-Zhong
• Lin, Shi-Qi
• Tang, Meng
• Song, Meng-Meng
• Zhang, Xiao-Wei
• Liu, Xiao-Yue
• Zhang, Kang-Ping
• Yang, Ming
• Yu, Kai-Ying
• Wang, Kun-Hua
• Hu, Wen
• Deng, Li
• Cong, Ming-Hua
• Shi, Han-Ping

Titel

Comprehensive prognostic effects of systemic inflammation and Insulin resistance in women with breast cancer with different BMI: a prospective multicenter cohort

Ist Teil von

• Scientific reports, 2023-03, Vol.13 (1), p.4303-4303, Article 4303

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals

Beschreibungen/Notizen

• 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.