Prognostic nutritional index and systemic immune-inflammation index are prognostic biomarkers for non-small-cell lung cancer brain metastases

2021 ◽  
Author(s):  
Wang Li ◽  
Yanli Qu ◽  
Fengyun Wen ◽  
Ruoxi Yu ◽  
Xiaoyi He ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Radiation Therapy Oncology Group ◽  
Prognostic Nutritional Index ◽  
Hazard Ratio ◽  
Cox Proportional Hazards Model ◽  
Smoking History ◽  
Prognostic Indicators ◽  
Nutritional Index ◽  
Immune Inflammation ◽  
Nsclc Patients

Aim: This research aimed to elucidate the prognosis values of prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) and clinical characteristics in NSCLC patients with brain metastases (BM) underwent radiotherapy. Materials & methods: Cut-off points of hematological indicators were determined by receiver operating characteristic curve. Overall survival was evaluated by Kaplan–Meier method and Cox proportional hazards model. Results: We retrospectively analyzed 214 patients from January 2009 to December 2018. The result demonstrated the independent prognostic values of PNI (hazard ratio: 0.600; p = 0.004) and SII (hazard ratio: 1.486; p = 0.019). The remaining clinicopathologic factors, including brain radiotherapy modality, smoking history, numbers of brain metastases, intracranial symptoms and Radiation Therapy Oncology Group – recursive partitioning analysis, were independently related to survival (p < 0.05). Conclusion: PNI and SII could be critical prognostic indicators for NSCLC patients with BM.

scholarly journals Clinical and therapeutic features and prognostic factors of metastatic colorectal cancer over age 80: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hiroyuki Hisada ◽  
Yu Takahashi ◽  
Manabu Kubota ◽  
Haruhisa Shimura ◽  
Ei Itobayashi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Factors ◽  
Elderly Patients ◽  
Metastatic Colorectal Cancer ◽  
Carcinoembryonic Antigen ◽  
Prognostic Nutritional Index ◽  
Hazard Ratio ◽  
Elderly Group ◽  
Younger Patients ◽  
Nutritional Index

Abstract Background Colorectal cancer (CRC) is one of the most common cancers in the world. The number of elderly patients with CRC increases due to aging of the population. There are few studies that examined chemotherapy and prognostic factors in metastatic colorectal cancer (mCRC) patients aged ≥ 80 years. We assessed the efficacy of chemotherapy and prognostic factors among patients with mCRC aged ≥ 80 years. Methods We retrospectively analyzed clinical and laboratory findings of 987 patients newly diagnosed with CRC at Asahi General Hospital (Chiba, Japan) between January 2012 and December 2016. The Kaplan–Meier method was used for the overall survival (OS) and the log-rank test was used to identify difference between patients. A multivariate Cox proportional hazard regression analysis was performed to determine the hazard ratios and 95% confidence intervals (CIs) of prognostic factors among super-elderly patients. Results In total, 260 patients were diagnosed with mCRC (super-elderly group: n = 43, aged ≥ 80 years and younger group, n = 217, aged < 80 years). The performance status and nutritional status were worse in the super-elderly group than in the younger group. The OS of super-elderly patients who received chemotherapy was worse than that of younger patients (18.5 vs. 28.8 months; P = 0.052), although the difference was not significant. The OS of patients who received chemotherapy tended to be longer than that of those who did not; however, there were no significant differences in OS in the super-elderly group (18.5 vs. 8.4 months P = 0.33). Multivariate analysis revealed that carcinoembryonic antigen levels ≥ 5 ng/mL (hazard ratio: 2.27; 95% CI 1.09–4.74; P = 0.03) and prognostic nutritional index ≤ 35 (hazard ratio: 8.57; 95% CI 2.63–27.9; P = 0.0003) were independently associated with poor OS in the super-elderly group. Conclusions Patients with mCRC aged ≥ 80 years had lower OS than younger patients even though they received chemotherapy. Carcinoembryonic antigen and prognostic nutritional index were independent prognostic factors in super-elderly patients with mCRC, but chemotherapy was not. Trial registration: retrospectively registered.

scholarly journals Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis

2018 ◽  
Vol 33 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Yuanyuan Hu ◽  
Jie Shen ◽  
RuiKe Liu ◽  
ZhiMei Feng ◽  
ChangNing Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Prognostic Nutritional Index ◽  
Progression Free Survival ◽  
Free Survival ◽  
Nutritional Index ◽  
Nsclc Patients ◽  
Disease Free

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.

scholarly journals Comparison of Systemic Immune-Inflammation Index (SII), Early Warning Score (ANDC) and Prognostic Nutritional Index (PNI) in Hospitalized Patients with Malignancy, and Their Influence on Mortality from COVID-19

2021 ◽  
Author(s):  
Muge Bilge ◽  
Isil Kibar Akilli ◽  
Aylia Yesilova ◽  
Kadriye Kart Yasar
Keyword(s):  
Early Warning ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Biological Indicators ◽  
Early Warning Score ◽  
Hospital Death ◽  
Lymphocyte Ratio ◽  
Nutritional Index ◽  
Mortality Ratio ◽  
Immune Inflammation

Abstract Introduction: COVID-19 pandemic is a serious cause of increased mortality in patients having malignancy. Therefore, to help predict the clinical progression of those patients with COVID-19 who have multiple comorbidities as cancer, we need various indices whose parameters we can easily measure and rapidly calculate. We evaluated several biological indicators based on inflammation and/or nutritional status, such as systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized COVID-19 patients with and without malignancies for a prognostic significance. Methodology: This is a retrospective and observational study on 186 patients with SARS-CoV-2, who were diagnosed with COVID-19 by real-time PCR testing and hospitalized due to COVID-19 pneumonia. 75 patients had various malignancies, and the rest (111), having a similar age and comorbidity profile based on propensity score matching, had no malignancy. Results: None of the measures as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (MLR), monocyte to lymphocyte ratio (PLR), SII, PNI or ANDC was found to be significantly different between two groups. Mortality ratio was found to be significantly higher in malignancy group (17,3%). Odds ratio for the mortality, OR:2,39 (%95 CI:1,80 -3,16) was found to be significantly higher for the malignancy group, even though the duration of hospitalization was statistically similar for both groups. PNI was found to be significantly lower for deceased patients compared with survivors in the malignancy group. Contrarily, ANDC was found to be significantly higher for deceased patients in the malignancy group. Conclusions: PNI and ANDC have independent predictive power on determining the in-hospital death in COVID-19 malignancy cases. It is suggested that ANDC seems to be a more sensitive score than SII in COVID-19 cases with malignancies.

scholarly journals Prognostic impact of the prognostic nutritional index in cases of resected oral squamous cell carcinoma: a retrospective study

2020 ◽  
Author(s):  
Atsushi Abe ◽  
Hiroki Hayashi ◽  
Takanori Ishihama ◽  
Hiroshi Furuta
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Peripheral Blood ◽  
Lymphocyte Count ◽  
Prognostic Nutritional Index ◽  
Smoking History ◽  
Prognostic Impact ◽  
Nutritional Index

Abstract Background The systemic inflammatory response and nutritional status of the patients are related to postoperative results in malignant tumors. We examined the usefulness of the prognostic nutritional index (PNI) as a prognostic factor in patients with oral squamous cell carcinoma who underwent radical surgery. Methods From 2008 to 2019, 102 patients (73 males, 29 females, age, 65.6 ± 9.8 years) who visited our hospital and underwent surgical therapy were included in this study. The endpoint was the total survival period, and the evaluation items included the lymphocyte count and albumin levels in the peripheral blood obtained within 4 weeks preoperatively, as well as age, sex, alcohol consumption and smoking history, site of the tumor, pathological stage, and surgery status. The PNI was calculated using serum albumin levels and the peripheral blood lymphocyte count. The relationships between the PNI and patient characteristics were analyzed using Fisher's exact test. The Kaplan–Meier method was used to evaluate the survival rate. The survival periods were compared using the log-rank method. We evaluated the prognostic factors for the overall survival (OS) in a logistic regression model. Results The tumor sites included the maxilla (n = 12), buccal mucosa (n = 11), mandible (n = 17), floor of the mouth (n = 9), and tongue (n = 53). The number of patients with stage I, II, III, and IV oral cancers was 28 (27.5%), 34 (27.5%), 26 (33.3%), and 14 (13.7%), respectively. During the observation period, 21 patients died of head and neck cancer. The optimal cut-off PNI value was 42.9 (range: 38.8–49.4) according to the receiver operating characteristic analysis. The proportion of patients with a short OS was lower in those with PNI higher than 42.9, and the 5-year OS in patients with PNI higher and lower than the cut-off value was 62.3% and 86.0%, respectively (P = 0.0105). Conclusions The OS of patients with PNI ≤ 42.9 was lower than that of patients with PNI greater than 42.9. The PNI, which is a preoperative head-to-foot inflammatory marker, can help estimate the prognosis of oral cancer.

Systemic immune-inflammation index predicting survival outcome in patients with classical Hodgkin lymphoma

2019 ◽  
Vol 13 (18) ◽  
pp. 1565-1575 ◽  
Author(s):  
Cem Mirili ◽  
Semra Paydas ◽  
Tuba Korkmaz Kapukaya ◽  
Ali Yılmaz
Keyword(s):  
Overall Survival ◽  
Hodgkin Lymphoma ◽  
Prognostic Nutritional Index ◽  
Progression Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Nutritional Index ◽  
Immune Inflammation

Aim: To evaluate the prognostic significance of neutrophil lymphocyte ratio, prognostic nutritional index, systemic immune-inflammation index (SII) and B2M in Hodgkin Lymphoma (HL). Materials & methods: Neutrophil–lymphocyte ratio, prognostic nutritional index, SII and B2M were analyzed to assess their prognostic value via the Kaplan–Meier method and Cox regression analysis in 122 HL patients, retrospectively. Results: SII was found to have the highest area under curve and the most sensitive and specific among all markers. In univariate analyses, all four parameters were prognostic for overall survival and progression-free survival, in multivariate analyzes only SII was found to be independent factors for both of them. Conclusion: SII can be suggested as a novel independent and better prognostic factor for predicting overall survival and progression-free survival in HL.

scholarly journals Prognostic impact of the prognostic nutritional index in cases of resected oral squamous cell carcinoma: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Atsushi Abe ◽  
Hiroki Hayashi ◽  
Takanori Ishihama ◽  
Hiroshi Furuta
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Peripheral Blood ◽  
Lymphocyte Count ◽  
Prognostic Nutritional Index ◽  
Smoking History ◽  
Prognostic Impact ◽  
Nutritional Index

Abstract Background The systemic inflammatory response and nutritional status of patients with malignant tumors are related to postoperative results. We examined the usefulness of the prognostic nutritional index (PNI) as a prognostic tool in patients with oral squamous cell carcinoma who underwent radical surgery. Methods From 2008 to 2019, 102 patients (73 males, 29 females; age, 65.6 ± 9.8 years) who visited our hospital and underwent surgical therapy were included in this study. The endpoint was the total survival period, and the evaluation markers included the lymphocyte count and albumin level in peripheral blood obtained 4 weeks preoperatively, age, sex, alcohol consumption, smoking history, site of the tumor, pathological stage, and surgery status. The PNI was calculated using serum albumin levels and the peripheral blood lymphocyte count. The relationship between the PNI and patient characteristics were analyzed using Fisher's exact test. The Kaplan–Meier method was used to evaluate the survival rate. The survival periods were compared using the log-rank method. We evaluated the prognostic factors for overall survival (OS) and disease-free survival (DFS) in a logistic regression model. Results The tumor sites included the maxilla (n = 12), buccal mucosa (n = 11), mandible (n = 17), floor of the mouth (n = 9), and tongue (n = 53). The number of patients with stage I, II, III, and IV oral cancers was 28 (27.5%), 34 (27.5%), 26 (33.3%), and 14 (13.7%), respectively. During the observation period, 21 patients died of head and neck cancer. The optimal cut-off PNI value was 42.9, according to the receiver operating characteristic analysis. The proportion of patients with a short OS was lower in those with PNI higher than 42.9, and the 5-year OS in patients with PNI higher and lower than the cut-off value was 62.3% and 86.0%, respectively (P = 0.0105). Conclusions The OS of patients with PNI < 42.9 was lower than that of patients with PNI ≥ 42.9. The PNI, which is a preoperative head-to-foot inflammatory marker, can help in estimating the prognosis of oral cancer.

scholarly journals Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1277
Author(s):  
Giuseppe Fanetti ◽  
Jerry Polesel ◽  
Elisabetta Fratta ◽  
Elena Muraro ◽  
Valentina Lupato ◽  
...  
Keyword(s):  
Weight Loss ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Prognostic Nutritional Index ◽  
Late Toxicity ◽  
Cox Proportional Hazards Model ◽  
Definitive Radiotherapy ◽  
Nutritional Index

Background: The Prognostic Nutritional Index (PNI) is a parameter of nutritional and inflammation status related to toxicity in cancer treatment. Since data for head and neck cancer are scanty, this study aims to investigate the association between PNI and acute and late toxicity for this malignancy. Methods: A retrospective cohort of 179 head and neck cancer patients treated with definitive radiotherapy with induction/concurrent chemotherapy was followed-up (median follow-up: 38 months) for toxicity and vital status between 2010 and 2017. PNI was calculated according to Onodera formula and low/high PNI levels were defined according to median value. Odds ratio (OR) for acute toxicity were calculated through logistic regression model; hazard ratios (HR) for late toxicity and survival were calculated through the Cox proportional hazards model. Results: median PNI was 50.0 (interquartile range: 45.5–53.5). Low PNI was associated with higher risk of weight loss > 10% during treatment (OR = 4.84, 95% CI: 1.73–13.53 for PNI < 50 versus PNI ≥ 50), which was in turn significantly associated with worse overall survival, and higher risk of late mucositis (HR = 1.84; 95% CI:1.09–3.12). PNI predicts acute weight loss >10% and late mucositis. Conclusions: PNI could help clinicians to identify patients undergoing radiotherapy who are at high risk of acute and late toxicity.

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