scholarly journals Prognostic Nutritional Index and its Dynamics After Curative Treatment are Independent Prognostic Factors on Survival in Non-Metastatic Nasopharyngeal Carcinoma

Author(s):  
Ahmet Küçükarda ◽  
Bülent Erdoğan ◽  
Ali Gökyer ◽  
Sezin Sayın ◽  
İvo Gökmen ◽  
...  

Abstract Purpose: We aimed to identify the prognostic and predictive values of post-treatment prognostic nutritional index (PNI) and PNI dynamics in nasopharyngeal cancer patients (NPC) in this study.Methods: 107 non-metastatic NPC patients were included. PNI was calculated by using the following formula: [10 x serum albumin value (gr/dL)] + [0.005 x total lymphocyte count (per mm3)]. ROC analysis was used for determining prognostic PNI values and univariate and multivariate statistical analyses for prognostic characterization of PNI. Results: The statistically significant cut-off values for pre-and post-treatment PNI were 50.65 and 44.75, respectively. Of the pre-treatment PNI analysis, PNI≤50.65 group had shorter loco-regional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), and overall survival (OS). Furthermore, for post-treatment PNI analysis, PNI≤44.75 group had shorter LRRFS and OS. In univariate analysis, only pre-treatment PNI was associated with LRRFS and DMFS, while pre-and post-treatment PNI were both associated with OS. In multivariate analysis, both PNI were independent prognostic markers for OS. In the combined analysis, pre-and post-treatment PNI, differences between the groups were statistically significant, and the PNI dynamics was an independent prognostic indicator for OS. Conclusion: PNI is a useful, independent prognostic marker for non-metastatic NPC patients. It is used for either pre-or post-treatment patients. Furthermore, changes in pre-treatment PNI value after curative treatment is a significant indicator for OS.

2019 ◽  
Author(s):  
zhigui li ◽  
Tiangen Ni ◽  
Yong Zhou ◽  
Xiaoting Wu

Abstract Background: Systemic inflammation plays an important part in tumorigenesis and progression. The predictive values of the preoperative lymphocyte to monocyte ratio (LMR) and prognostic nutritional index (PNI) in colon cancer remained unclear. Methods: A total of 308 patients with colon cancer undergoing radical resection were enrolled and analyzed. The receiver operating curves were applied to identify the thresholds for these biomarkers. Kaplan-Meier method and multivariate analysis were used to identify independent prognostic factors. Results: The univariate analysis showed that elevated LMR and PNI were significantly correlated with better overall survival and progression-free survival. The multivariate analysis showed that LMR and PNI were the independent prognostic factors for overall survival. Conclusions: Preoperative LMR and PNI could serve as useful prognostic factor in patients with colon cancer undergoing radical resection.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yisong Cheng ◽  
Hong Li ◽  
Dongze Li ◽  
Lianjing Liang ◽  
Yu Jia ◽  
...  

Abstract The prognostic nutritional index (PNI) has been applied in acute myocardial infarction (AMI) recently.However, the application of PNI in AMI needs verification. This was a prospective cohort study. Patients diagnosed with AMI were enrolled. PNI was calculated as (serum albumin (SA in g/L)) + (5 × total lymphocyte count (TLC) × 109/L). Modified PNI (mPNI) was analyzed by logistic regression analysis to reset the proportion of SA and TLC. The primary outcome was all-cause death. A total of 598 patients were enrolled; 73 patients died during follow-up. The coefficient of SA and TLC in the mPNI formula was approximately 2:1. The area under the receiver operating characteristic curve of SA, TLC, PNI, mPNI and GRACE in predicting death for patients with AMI was 0.718, 0.540, 0.636, 0.721 and 0.825, respectively. Net reclassification improvement (NRI) between PNI and mPNI was 0.230 (p < 0.001). Integrated discrimination improvement (IDI) was 0.042 (p = 0.001). Decision curve analysis revealed that mPNI had better prognostic value for patients with AMI than PNI; however, it was not superior to SA. Thus, PNI may not a reliable prognostic predictor of AMI; after resetting the formula, the value of PNI in predicting prognosis of AMI is almost entirely due to SA.


2018 ◽  
Vol 33 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Yuanyuan Hu ◽  
Jie Shen ◽  
RuiKe Liu ◽  
ZhiMei Feng ◽  
ChangNing Zhang ◽  
...  

Background: The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC. Methods: We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival. Results: Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC. Conclusion: Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients.


Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 780
Author(s):  
Richard Partl ◽  
Katarzyna Lukasiak ◽  
Eva-Maria Thurner ◽  
Wilfried Renner ◽  
Heidi Stranzl-Lawatsch ◽  
...  

The aim of the present study was to investigate the association of the pre-treatment C-reactive protein (CRP) plasma level with survival outcomes in a cohort of 423 consecutive patients with locally advanced rectal cancer treated with neo-adjuvant radiochemotherapy followed by surgical resection. To evaluate the prognostic value of the CRP level for clinical endpoints recurrence-free survival (RFS), local-regional control (LC), metastases-free survival (MFS), and overall survival (OS), uni- and multivariate Cox regression analyses were applied, and survival rates were calculated using Kaplan–Meier analysis. The median follow-up time was 73 months. In univariate analyses, the pre-treatment CRP level was a significant predictor of RFS (hazard ratio (HR) 1.015, 95% CI 1.006–1.023; p < 0.001), LC (HR 1.015, 95% CI 1.004–1.027; p = 0.009), MFS (HR 1.014, 95% CI 1.004–1.023; p = 0.004), and OS (HR 1.016, 95% CI 1.007–1.024; p < 0.001). Additionally, univariate analysis identified the MRI circumferential resection margin (mrCRM) and pre-treatment carcinoembryonic antigen (CEA) as significant predictor of RFS (HR 2.082, 95% CI 1.106–3.919; p = 0.023 and HR 1.005, 95% CI 1.002–1.008; p < 0.001). Univariate analysis also revealed a significant association of the mrCRM (HR 2.089, 95% CI 1.052–4.147; p = 0.035) and CEA (HR 1.006, 95% CI 1.003–1.008; p < 0.001) with MFS. Age and CEA were prognostic factors for OS (HR 1.039, 95% CI 1.013–1.066; p = 0.003 and HR 1.005, 95% CI 1.002–1.008; p < 0.001). In multivariate analysis that included parameters with a p-level < 0.20 in univariate analysis, the pre-treatment CRP remained a significant prognostic factor for RFS (HR 1.013, 95%CI 1.001–1.025; p = 0.036), LC (HR 1.014, 95% CI 1.001–1.027; p = 0.031), and MFS (HR 1.013, 95% CI 1.000–1.027; p = 0.046). The results support the hypothesis that an elevated pre-treatment CRP level is a predictor of poor outcome. If confirmed by additional studies, this easily measurable biomarker could contribute to the identification of patients who might be candidates for more aggressive local or systemic treatment approaches or the administration of anti-inflammatory drugs.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 5003-5003
Author(s):  
Evan Y. Yu ◽  
Fenghai Duan ◽  
Mark Muzi ◽  
Jeremy Gorelick ◽  
Bennett Chin ◽  
...  

5003 Background: Dasatinib is a SRC kinase inhibitor that decreases bone turnover in men with metastatic castration-resistant prostate cancer (mCRPC). 18F-fluoride PET was used to evaluate differential response between normal and tumor bone to dasatinib. Methods: Patients with bone mCRPC underwent dynamic 18F-flouride PET imaging prior to and 12 weeks after dasatinib treatment. Up to 5 bone metastases with matching normal bone regions were selected for analysis by SUVmax, Ki, K1and Patlak flux. Their pre-treatment values and change from pre-treatment to post-treatment values were evaluated via generalized estimating equations to predict skeletal-related events (SRE) and via Cox proportional hazards modeling to predict progression-free survival (PFS) with Prostate Cancer Working Group 2 criteria, overall survival and time to SRE. Results: Eighteen patients treated with dasatinib underwent baseline 18F-flouride PET imaging; 12 had follow-up scans allowing assessment of changes due to therapy. Median age for all patients was 69 (range 48-86) years. Significant decrease in SUVmax (p=0.0002) occurred in bone metastases with dasatinib while significant increases in Patlak flux (p=0.0033) occurred in normal bone. Significant differences in changes from tumor bone compared to normal bone in response to dasatinib were noted for SUVmax (p<0.0001). Of 18 patients, 17 have either met progression criteria or death by the time of this analysis. Decrease in tumor bone SUVmax (p=0.019), Ki(p=0.022), and Patlak flux (p=0.034) from pre-treatment to post-treatment correlates with longer PFS. Conclusions: 18F-fluoride PET indicates differential effect of dasatinib on tumor compared to normal bone in men with mCRPC. In patients undergoing pre- and post-dasatinib 18F-fluoride PET imaging a decrease in bone mCRPC fluoride uptake in response to treatment correlates with PFS. Clinical trial information: NCT00936975.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20513-e20513
Author(s):  
Hongge Liang ◽  
Di Ma ◽  
Yan Xu ◽  
Jing Zhao ◽  
Minjiang Chen ◽  
...  

e20513 Background: We performed a retrospective analysis to investigate the association between the lactate dehydrogenase (LDH) levels and progression-free survival (PFS) in patients with echinoderm microtubule-associated protein-like 4-anaplasticlymphoma kinase (EML4-ALK) rearrangement non-small cell lung cancer (NSCLC) receiving treatment with crizotinib. Methods: Advanced NSCLC patients with EML4-ALK rearrangement receiving treatment with crizotinib were enrolled at Peking Union Medical College and Cancer Hospital Chinese Academy of Medical Sciences between January 2007 and January 2016. Pre-treatment or post-treatment serum LDH levels were analyzed with progression-free survival (PFS) and patients’ clinical parameters. Results: Overall, 212 patients were studied. Kaplan-Meier univariate analysis showed that elevated pre-treatment LDH level (7.9 vs. 14.1 months, P = 0.004) were associated with PFS, while the mean value of post-treatment LDH level (14.3 vs. 13.3 months, P = 0.970) were not associated with PFS. Coxproportional hazards model also identified that pre-treatment LDH level (hazard ratio [HR] = 1.841, 95% confidence interval [CI] 1.062-3.190, P = 0.030) was associated with the PFS. Logistic regression analysis showed that post-treatment LDH level was associated with creatine kinase(OR = 6.712, 95% CI 3.395-13.273, P < 0.01), CKMB (OR = 6.297, 95% CI 2.953-13.427, P < 0.01), and hemoglobin(OR = 4.163, 1.741-9.956, P = 0.001). Conclusions: An elevated pre-treatment serum LDH level ( > 250U/L) is significantly associated with shorter PFS in patients with EML4-ALK rearrangement NSCLC. Post-treatment elevated serum LDH level is associated with multiple factors including muscle damage and anemia, rather than PFS.


2020 ◽  
Author(s):  
Michihiro Kudou ◽  
Masayoshi Nakanishi ◽  
Yoshiaki Kuriu ◽  
Tomohiro Arita ◽  
Hiroki Shimizu ◽  
...  

Abstract Background Diffusion-weighed MRI (DWI) has the potential to reveal intra-tumor pathological heterogeneity consisting of the stroma. The present study investigated the value of intra-tumor heterogeneity evaluated by DWI for predicting the survival of patients with lower rectal cancer (LRC). Methods A total of 172 LRC patients underwent radical surgery between 2009 and 2017. Patients with T1 tumors, distant metastasis, and no pre-operative MRI were excluded. Fifty-eight cases were targeted. Intra-tumor heterogeneity on DWI was quantified by an image analysis (MRI heterogeneous score of DWI: mrHSD). All enrolled cases were divided into two groups (high and low groups) according to median mrHSD. Results Median mrHSD was 0.457 (0.170–0.823), with a higher score indicating a more heterogeneous pattern on DWI. The frequency of a clinical diagnosis of lymph node metastasis and extramural vascular invasion was higher in the high group. Three-year overall survival (OS) and relapse-free survival (RFS) rates were significantly higher in the low group than in the high group (OS: 100% vs 84.6%, p = 0.012; RFS: 85.9% vs 55.6%, p = 0.027). A univariate analysis of RFS showed that the RFS rates of poorly differentiated LRC, a positive circumferential resection margin on MRI, and high mrHSD were worse (p = 0.097, 0.086, and 0.049). A multivariate analysis revealed that high mrHSD tended to be an independent factor for predicting post-operative recurrence (HR: 2.836, p = 0.060). Conclusion The quantitative evaluation of intratumor heterogeneity on DWI has potential as an imaging biomarker for predicting post-operative recurrence.


2021 ◽  
Vol 11 ◽  
Author(s):  
Changqing Mao ◽  
Weixin Xu ◽  
Weina Ma ◽  
Chun Wang ◽  
Zhaojiao Guo ◽  
...  

BackgroundThe pretreatment prognostic nutritional index (PNI) is correlated with poor prognosis in several malignancies. However, the prognostic role of PNI in patients with renal cell carcinoma (RCC) remains unclear. Therefore, we performed a meta-analysis to investigate the prognostic significance of PNI in patients with RCC.MethodsWe searched the PubMed, Web of Science, Embase, Scopus, and Cochrane Library databases up to February 2021. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate correlation between PNI and survival endpoints in RCC.ResultsTen studies with 4,908 patients were included in the meta-analysis. The pooled results indicated that a low PNI associated with poor overall survival (HR = 2.10, 95% CI = 1.67–2.64, p&lt;0.001), shorter progression-free survival, disease-free survival, recurrence-free survival (HR = 1.99, 95% CI = 1.67–2.36, p&lt;0.001), and poor cancer-specific survival (HR = 2.95, 95% CI = 1.61–5.39, p&lt;0.001). Additionally, the prognostic ability of PNI was not affected by subgroup analysis factors.ConclusionThe meta-analysis indicated that low PNI associated with shorter survival outcomes in patients with RCC. Therefore, PNI could be used as an effective prognostic indicator in RCC.


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