scholarly journals Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy

2022 ◽  
Vol 8 ◽  
Author(s):  
Li Chen ◽  
Yihang Qi ◽  
Xiangyi Kong ◽  
Zhaohui Su ◽  
Zhongzhao Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Risk Index ◽  
Prognostic Significance ◽  
Nutritional Risk ◽  
Breast Cancer Patients ◽  
Cutoff Value ◽  
Nutritional Risk Index

Nutritional risk index (NRI) is an index based on ideal body weight that aims to present body weight and serum albumin levels. It has been utilized to discriminate patients at risk of postoperative complications and predict the postoperative outcome of major surgeries. However, this index remains limited for breast cancer patients treated with neoadjuvant chemotherapy (NACT). The research explores the clinical and prognostic significance of NRI in breast cancer patients. This study included 785 breast cancer patients (477 cases received NACT and 308 cases did not) were enrolled in this retrospective study. The optimal NRI cutoff value was evaluated by receiver operating characteristic (ROC) curve, then reclassified as low NRI group (<112) and high NRI group (≥112). The results demonstrated that NRI independently predicted survival on disease-free survival (DFS) and overall survival (OS) by univariate and multivariate Cox regression survival analyses [P = 0.019, hazard ratio (HR): 1.521, 95% CI: 1.071–2.161 and P = 0.004, HR: 1.415, 95% CI: 1.119–1.789; and P = 0.026, HR:1.500, 95% CI: 1.051–2.143 and P < 0.001, HR: 1.547, 95% CI: 1.221–1.959]. According to the optimal cutoff value of NRI, the high NRI value patients had longer mean DFS and OS time in contrast to those with low NRI value patients (63.47 vs. 40.50 months; 71.50 vs. 56.39 months). Furthermore, the results demonstrated that the high NRI score patients had significantly longer mean DFS and OS time than those with low NRI score patients in early-stage breast cancer (χ2 = 9.0510, P = 0.0026 and χ2 = 9.2140, P = 0.0024) and advanced breast cancer (χ2 = 6.2500, P = 0.0124 and χ2 = 5.8880, P = 0.0152). The mean DFS and OS values in patients with high NRI scores were significantly longer in contrast to those with low NRI scores in different molecular subtypes. The common toxicities after NACT were hematologic and gastrointestinal reactions, and the NRI had no statistically significant effects on toxicities, except in nausea (χ2 = 9.2413, P = 0.0024), mouth ulcers (χ2 = 4.8133, P = 0.0282), anemia (χ2 = 8.5441, P = 0.0140), and leukopenia (χ2 = 11.0951, P = 0.0039). NRI serves as a minimally invasive, easily accessible and convenient prognostic tool for evaluating breast cancer prognoses and treatment efficacy, and may help doctors in terms of selecting measures of greater efficiency or appropriateness to better treat breast cancer.

scholarly journals Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator

2021 ◽  
Vol 9 ◽  
Author(s):  
Li Chen ◽  
Ping Bai ◽  
Xiangyi Kong ◽  
Shaolong Huang ◽  
Zhongzhao Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Prognostic Indicator ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Log Rank Test ◽  
The Mean

ObjectivePrognostic nutritional index (PNI), calculated as serum albumin (ALB) (g/L) + 5 × total lymphocyte count (109/L), is initially used to evaluate nutritional status in patients undergoing surgery and may evaluate the therapeutic effects and predict the survival of various solid tumors. The present study aimed to evaluate the potential prognostic significance of PNI in breast cancer patients receiving neoadjuvant chemotherapy (NACT).MethodsA total of 785 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of PNI by receiver operating characteristic curve stratified patients into a low-PNI group (<51) and a high PNI group (≥51). The associations between breast cancer and clinicopathological variables by PNI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by the National Cancer Institute Common Toxicity Criteria (NCI-CTC).ResultsThe results indicated that PNI had prognostic significance by an optimal cutoff value of 51 on DFS and OS in univariate and multivariate Cox regression survival analyses. Breast cancer patients with a high PNI value had longer DFS and OS than those with a low PNI value [47.64 vs. 36.60 months, P < 0.0001, hazard ratio (HR) = 0.264, 95%CI = 0.160–0.435; 73.61 vs. 64.97 months, P < 0.0001, HR = 0.319, 95%CI = 0.207–0.491, respectively]. Furthermore, the results indicated that patients with high PNI had longer DFS and OS than those with low PNI in early stage and advanced breast cancer, especially in advanced breast cancer. The mean DFS and OS times for breast cancer patients with high PNI by the log-rank test were longer than in those with low PNI in different molecular subtypes. Moreover, the mean DFS and OS times in patients with high PNI by the log-rank test were longer than in those patients with low PNI without or with lymph vessel invasion. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the PNI had no significance on the toxicities of all enrolled patients, except in anemia, leukopenia, and myelosuppression.ConclusionPretreatment PNI with the advantages of being convenient, noninvasive, and reproducible was a useful prognostic indicator for breast cancer patients receiving neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.

scholarly journals Prognostic Implications of the Peripheral PLR and NLR in Predicting pCR after NACT in Breast Cancer Patients

2021 ◽  
Author(s):  
Xiaoyan Jin ◽  
Ke Wang ◽  
Xuan Shao ◽  
Jian Huang
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Neoadjuvant Therapy ◽  
Cancer Patients ◽  
Prognostic Significance ◽  
Breast Cancer Patients ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Lymphocyte Ratio ◽  
Cutoff Values

Abstract Background: Inflammatory response is extremely important in tumor progression, and it is very difficult to identify prognostic indicators for neoadjuvant therapy in breast cancer patients. The aim of this study was to mine the potential prognostic significance of the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) in breast cancer patients receiving anthracycline- or taxane-based neoadjuvant chemotherapy (NACT).Methods: Sixty-seven women diagnosed with breast cancer who received neoadjuvant therapy were enrolled in the study and then underwent surgeries. Before starting NACT, the PLR and NLR were calculated. The optimal cutoff value was calculated using receiver operating characteristic curve analyses, and the ROC curve analysis indicated that 106.3 and 2.464 were the best cutoff values for the PLR and NLR, respectively. The optimal cutoff values for the NLR and PLR were used to divide patients into low and high NLR groups and low and high PLR groups. Independent prognostic biomarkers and value the of PLR and NLR were assessed with univariate and multivariate logistic regression models. The connection between the NLR/PLR and pathological complete response (pCR), together with other clinical/pathological factors, was evaluated by Fisher's exact test or Pearson's x2 as appropriate.Results: Logistic regression model analyses revealed that patients with a high PLR correlated remarkably with better pCR than those with a low PLR. The results indicated that by using the cutoff value of 106.3, PLR had prognostic significance. However, there was no significant difference in NLR if analyzed separately. However, by combining PLR and NLR, the NLRhigh and PLRhigh subgroups achieved a significantly higher rate of pCR than the NLRIow/PLRIow subgroup (OR 0.153, 95% CI 0.068-0.876, p=0.008). Therefore, the combination of NLRhigh/PLRhigh was an independent prognostic factor different from common factors, such as PLR, Ki-67, and chemotherapy regimen.Conclusions: The PLR may serve as a potential marker of the efficacy of neoadjuvant therapy in breast cancer, enabling oncologists to intervene earlier. Peripheral blood NLR and PLR can reflect the immune status of patients. High levels of both of them may indicate immune activation status and predict the pCR rate of NACT treatment in breast cancer patients.

scholarly journals Predictive Value of Tumor Infiltrating Lymphocytes in Neoadjuvant Chemotherapy Treated Breast Cancer: A Meta-Analysis of 8052 Patients

2020 ◽  
Author(s):  
Shiqi Li ◽  
Ying Zhang ◽  
Shujun Wang ◽  
Rui Yang
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Tumor Infiltrating Lymphocytes ◽  
Breast Cancer Patients ◽  
Infiltrating Lymphocytes ◽  
Positive Breast Cancer

Abstract Background: We conducted a meta-analysis to determine the prognostic value of Tumor infiltrating lymphocytes (TILs) for patients with breast cancer on Neoadjuvant Chemotherapy, to explore the prognostic value of different TILs threshold in terms of pathological complete response (PCR).Methods: A systematic search of PubMed, EMBASE and Web of Science electronic databases was conducted to identify eligible articles published before September 2020. Data from studies were analyzed by using Review Manager 5.3 and Stata 15.0Results: A total of 22 published studies (including 8 052 patients) were eligible. Patients with high TILs level showed a higher rate of PCR to treatment (OR=3.182, 95 %CI, 2.549-3.973) compared to breast cancer patients with low TILs level. Although the association of TILs with response to neoadjuvant chemotherapy was similar across most breast cancer subtypes, there were a few differences ER negative or ER positive breast cancer. In studies (Type of breast cancer not clearly classified in the literature) where the cut-off value for TILs was ≥10 %, higher levels of total TILs predicted a higher PCR rate of Neoadjuvant Chemotherapy. However, for HER2-positive breast cancer patients, when a cut-off valve of TILs ≥ 30 % was used, the OR was 2.631 (95 % CI, 1.739-3.982, P = 0.000). TILs also were related to better DFS (HR=0.95, 95 %CI, 0.92-0.98, P=0.000) and overall survival (OS) (HR=0.90, 95 %CI, 0.85-0.95, P<0.0001) after Neoadjuvant Chemotherapy.Conclusions: TILs can be used as predictors of patients with breast cancer on Neoadjuvant Chemotherapy. TILs threshold with the greatest prognostic significance of PCR is as yet unknown, but a TILs threshold of at least 30 % is associated with the most powerful outcome prognostication of PCR.

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