Figures
Abstract
Objectives
Immunological parameters and nutritional status influence the outcome of patients with malignant tumors. A prognostic nutritional index, calculated using serum albumin levels and peripheral lymphocyte count, has been used to assess prognosis for various cancers. This study aimed to investigate whether this prognostic nutritional index affects overall survival and the incidence of postoperative complications in patients with completely resected non-small cell lung cancer.
Methods
We retrospectively reviewed the medical records of 409 patients with non-small cell lung cancer who underwent complete resection between 2005 and 2007 at the Aichi Cancer Center.
Results
The 5-year survival rates of patients with high (≥50) and low (<50) prognostic nutritional indices were 84.4% and 70.7%, respectively (p = 0.0011). Univariate analysis showed that gender, histology, pathological stage, smoking history, serum carcinoembryonic antigen levels, and prognostic nutritional index were significant prognostic factors. Multivariate analysis identified pathological stage and the prognostic nutritional index as independent prognostic factors. The frequency of postoperative complications tended to be higher in patients with a low prognostic nutritional index.
Citation: Mori S, Usami N, Fukumoto K, Mizuno T, Kuroda H, Sakakura N, et al. (2015) The Significance of the Prognostic Nutritional Index in Patients with Completely Resected Non-Small Cell Lung Cancer. PLoS ONE 10(9): e0136897. https://doi.org/10.1371/journal.pone.0136897
Editor: Fan Yang, Peking University People Hospital, CHINA
Received: April 8, 2015; Accepted: August 10, 2015; Published: September 10, 2015
Copyright: © 2015 Mori et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper.
Funding: The authors have no support or funding to report.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Non-small cell lung cancer (NSCLC) has a poor prognosis and is one of the most common causes of cancer-related death worldwide [1]. It can be assessed using a number of prognostic factors including age, gender, tumor size, lymph node metastasis [2,3], smoking status [4,5], and serum carcinoembryonic antigen (CEA) level [6]. Furthermore, immunological parameters and nutritional status can influence disease outcome in patients with malignant tumors [7].
The European Lung Cancer Working Group [8] and the Japan Multinational Trial Organization [9] reported that an elevated neutrophil count was associated with poor prognosis in patients with NSCLC. The lymphocyte count has been reported to have independent prognostic significance in pancreatic cancer [10], breast cancer [11], and node-negative NSCLC [3]. Additionally, nutritional status, which is commonly evaluated using serum albumin levels, is an important prognostic factor in advanced cancer [12]. An elevated serum albumin level has been found to be associated with improved survival among patients with lung cancer [13].
The concept of a prognostic nutritional index (PNI) was suggested by Buzby and colleagues in 1980 [14]. PNI was proposed to assess prognostic factors in patients with malignant gastrointestinal tract tumors, liver cirrhosis [15], and chronic renal failure. Onodera and associates suggested that this PNI should be calculated using serum albumin levels and peripheral lymphocyte counts [16], and this was widely used as an indicator of nutritional status and to predict prognosis [12]. This PNI was found to be useful when predicting the prognosis of esophageal carcinoma [17], gastric carcinoma [7], pancreatic cancer [12], and hepatocellular carcinoma [18]. However, to the best of our knowledge, no studies till date have investigated the association between PNI and the prognosis of patients with completely resected NSCLC.
The present study aimed to investigate whether PNI can serve as an independent prognostic factor in patients with completely resected NSCLC.
Materials and Methods
Patients
The patient characteristics are presented in Table 1. This study comprised 542 patients surgically treated for primary lung cancer between 2005 and 2007 at the Aichi Cancer Center Hospital, Nagoya, Japan. Of these, 133 patients were excluded as they had unmeasured differential lymphocyte counts, incomplete resection, or insufficient data. This study was approved by the Institutional Review Board of Aichi Cancer Center.
Because individual patients were not identified, our institutional review board approved this study without the requirement to obtain patient consent. The patient records were anonymized and de-identified prior to analysis. The following information was collected from the medical records and clinical database at our department: age at the time of surgery, gender, histology, pathological tumor-lymph node-metastasis (TNM) stage, smoking history, serum CEA level, postoperative complications, and survival. We calculated PNI using the following formula: PNI = serum albumin levels (g/dl) × 10 + total lymphocyte count (per mm3) × 0.005, as proposed by Onodera et al. [16]. Blood samples were collected from all patients 1 month prior to surgery, and pathological staging was recorded based on the seventh edition of the Union for International Cancer Control TNM classification [19]. Postoperative complications were defined according to the criteria of the Society of Thoracic Surgeons (STS) database [20]. The overall survival time was measured as the time elapsed between the date of surgery and the date of death or last follow-up.
Statistical analysis
Survival curves were estimated using the Kaplan–Meier method, and differences in survival were assessed using the log-rank test. The receiver operating characteristics (ROC) curve of PNI was calculated to determine the optimal cut-off value. Univariate and multivariate analyses with a Cox proportional hazards model or logistic regression model were performed to assess significant factors. All statistical analyses were carried out using JMP version 10 statistical software (SAS Institute Inc., Cary, NC, USA), and p value < 0.05 was considered statistically significant.
Results
Between 2005 and 2007, 542 patients were surgically treated for primary lung cancer of which 133 patients were excluded from this study because of unmeasured differential lymphocyte count (n = 100), incomplete resection (n = 19), and insufficient data (n = 14). Thus, 409 patients [249 males and 160 females: median age: 66 years (range: 32–86 years)] were included in this study, and survivors were followed-up for a median of 55.1 months. The median PNI value was 51.4 (range: 20.7–65.6). The ROC curve identified an optimal cut-off value of 49.9 (Area under the curve = 0.63) (Fig 1), and based on this, the value for this study was fixed at 50.
Optimal cut-off for the prognostic nutritional index was 49.9 (Area under the curve = 0.63).
Table 2 shows the relationship between PNI and the clinico-pathological features. Significant differences were observed with respect to age, gender, histology, and pathological stage. Patients with a higher PNI (≥50) tended to be younger females with adenocarcinoma and pathological stage I. Furthermore, the 5-year survival rates of patients with high (≥50) and low (<50) PNI were 84.4% and 70.7%, respectively (p = 0.0011, Fig 2).
The survival of patients with a low prognostic nutritional index (< 50) was significantly poorer than that of patients with a high prognostic nutritional index (≥50).
We also examined the relationship between PNI and prognosis in patients with pathological stage I disease. A PNI value of 49 corresponded to the optimal sensitivity and specificity on the ROC curve in patients with pathological stage I disease (Area under the curve = 0.62). Among these patients, the 5-year survival rates were significantly better in patients with high (≥49) PNI than in those with low (<49) PNI (92.6% versus 81.8%, respectively; p = 0.0063; Fig 3).
The survival of patients with a low prognostic nutritional index (< 49) was significantly different from those with a high prognostic nutritional index (≥49).
Univariate analysis showed that gender, histology, pathological stage, smoking history, serum CEA level, and PNI [low versus high; hazard ratio (HR) = 2.02; 95% confidence interval (CI) = 1.31–3.13; p = 0.0013] were significantly associated with poor survival. Multivariate analysis showed that PNI was an independent prognostic factor (low versus high; HR = 1.63; 95% CI = 1.04–2.57; p = 0.0310). Additionally, pathological stage was found to be an independent prognostic factor (Table 3).
We also investigated the correlation between PNI and postoperative complications. According to the collected STS data, 44 patients showed postoperative complications (Table 4); the most common ones being atrial arrhythmia requiring treatment and chylothorax requiring medical intervention. Univariate analysis showed that postoperative complications were associated with age ≥ 66 years, male gender, and non-adenocarcinoma. Moreover, patients with PNI < 50 showed an increased risk of postoperative complications, but this was not statistically significant (p = 0.0567, Table 5).
Discussion
The results of this study suggest that a low PNI is a poor independent prognostic factor for survival of patients with completely resected NSCLC. Although PNI can be used to predict the prognosis for various malignant tumors [7, 12, 17, 18], its relationship with completely resected NSCLC has not been previously defined. To the best of our knowledge, this is the first report regarding the usefulness of PNI in patients with completely resected NSCLC.
Buzby and colleagues [14] initially proposed PNI as a predictive indicator after digestive surgery. Their initial work used the following formula: PNI = 158 − 16.6 × albumin (g/100 ml) − 0.78 × triceps skinfold (mm) − 0.20 × transferrin (mg/100 ml) − 5.8 × cutaneous delayed hypersensitivity. In contrast, the PNI proposed by Onodera and coworkers [16] was calculated based on the serum albumin levels and total lymphocyte count, which are more readily assessable. Therefore, we used the latter technique in this study.
Several reports support using the lymphocyte count as a prognostic factor. Hespanhol and colleagues [21] reported that the lymphocyte count was a significant prognostic factor in patients with stage III or IV NSCLC, while Muers and associates [22] found that it was useful in patients with NSCLC who had not received curative treatment. Kobayashi and coworkers [3] demonstrated that the preoperative peripheral lymphocyte count was an independent prognostic factor in node-negative NSCLC. When the cut-off value for the lymphocyte count was 1900 cells/mm3, the overall survival rates were 67.9% and 87.7% for the low and high lymphocyte groups, respectively.
Lymphocytes play a fundamental role in cell-mediated immunity in various cancers, while inflammation plays an important role in NSCLC progression. Thus, the immune response to a tumor is lymphocyte dependent and as a result a low count can be a predictor of poor survival.
Serum albumin level is a simple surrogate marker for estimating protein levels, and it is commonly used as an indicator of nutritional status [12]. Gupta and colleagues [13] examined the association between pre-treatment serum albumin levels and survival of patients with different types of cancer. Of the 10 lung cancer studies reviewed, nine reported that higher serum albumin levels were associated with improved survival [13]. Therefore, pre-treatment serum albumin levels are useful prognostic indicators in cancer.
Onodera and coworkers [16] originally proposed PNI in 1984, and suggested that resection and anastomosis of the gastrointestinal tract could be performed safely in cases with a PNI > 45. The relationship between PNI and postoperative complications in patients with other malignant tumors has also been previously reported. Nozoe and associates [17] reported that the mean pre-operative PNI in esophageal cancer patients with postoperative complications was significantly lower than that in patients without postoperative complications. Kanda and colleagues [12] reported an association between low PNI and pancreatic fistulae in patients with pancreatic cancer. In the present study, we found no significant correlation between PNI and postoperative complications, although patients with a low PNI showed a tendency for increased risk of postoperative complications.
Our results also showed high 5-year survival rates, which can be explained by the fact that our cohort included a large number of patients with pathological stage I disease and adenocarcinoma. Our results were in accordance with the Japanese Lung Cancer Registry, which reported 5-year survival rates in patients with pathological stage I disease to be 74%–87% [23].
There were three major limitations to our study: (1) the retrospective study design, (2) the presence of inflammation was not evaluated, and (3) the degree of comorbidity was not accurately recorded. When a patient has an inflammatory condition, their serum albumin level and lymphocyte counts may be affected. Therefore, the absence of inflammation and comorbidity data may have potentially biased the results of our study. However, it is very important to know the factors affecting prognosis, and the role of PNI as a prognostic factor is noteworthy. We will prospectively use PNI to precisely evaluate therapeutic strategies.
In conclusion, the results of the present study demonstrate that PNI, calculated based on serum albumin level and lymphocyte count, is an independent prognostic factor for survival of patients with completely resected NSCLC and may serve as a useful prognostic tool.
Author Contributions
Analyzed the data: YS HK NU KF. Contributed reagents/materials/analysis tools: TM. Wrote the paper: SM KY NS.
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