Chang Jiang1, Wan-Ming Hu2, Fang-Xin Liao1, Qiong Yang1, Ping Chen1, Yu-Ming Rong1, Gui-Fang Guo1, Chen-Xi Yin3, Bei Zhang1, Wen-Zhuo He1, Liang-Ping Xia1. 1. VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China. 2. State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China. 3. State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China; Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Abstract
PURPOSE: To investigate the prognostic relevance of preoperative peripheral neutrophil- to-lymphocyte ratio (NLR) in gastrointestinal stromal tumor (GIST) patients. MATERIALS AND METHODS: We enrolled 129 consecutive GIST patients who underwent initial curative surgical resection with or without adjuvant/palliative imatinib treatment in our study. Blood NLR was calculated as neutrophil count (number of neutrophils ×10(9)/L) divided by lymphocyte count (number of lymphocytes ×10(9)/L). Survival curves were constructed by using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard regression models were performed to identify associations with outcome variable. All tests were two-sided, and P<0.05 was considered statistically significant. RESULTS: The optimal cut-off value of NLR was 2.07 in the receiver operating characteristic curve analysis. The median overall survival (OS) of high NLR group was 113.0 months, whereas that of the low NLR group had not reached the median OS both in the general (P<0.001) and subgroup analyses. The elevated NLR suggested shorter OS in the high malignant potential groups (P=0.01) and the combined low and moderate groups (P=0.02). Increased NLR indicated poor OS in patients regardless of whether if received imatinib treatment or not (P=0.005, and P=0.032, respectively). High NLR indicated poor OS of patients in stage I and II disease (P=0.005) and a clear tendency that increased level of NLR is inimical to OS. CONCLUSION: Elevated NLR was detected as an independent adverse prognostic factor. Elevated preoperative NLR predicts poor clinical outcome in GIST patients and may serve as a cost-effective and broadly available independent prognostic biomarker.
PURPOSE: To investigate the prognostic relevance of preoperative peripheral neutrophil- to-lymphocyte ratio (NLR) in gastrointestinal stromal tumor (GIST) patients. MATERIALS AND METHODS: We enrolled 129 consecutive GISTpatients who underwent initial curative surgical resection with or without adjuvant/palliative imatinib treatment in our study. Blood NLR was calculated as neutrophil count (number of neutrophils ×10(9)/L) divided by lymphocyte count (number of lymphocytes ×10(9)/L). Survival curves were constructed by using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard regression models were performed to identify associations with outcome variable. All tests were two-sided, and P<0.05 was considered statistically significant. RESULTS: The optimal cut-off value of NLR was 2.07 in the receiver operating characteristic curve analysis. The median overall survival (OS) of high NLR group was 113.0 months, whereas that of the low NLR group had not reached the median OS both in the general (P<0.001) and subgroup analyses. The elevated NLR suggested shorter OS in the high malignant potential groups (P=0.01) and the combined low and moderate groups (P=0.02). Increased NLR indicated poor OS in patients regardless of whether if received imatinib treatment or not (P=0.005, and P=0.032, respectively). High NLR indicated poor OS of patients in stage I and II disease (P=0.005) and a clear tendency that increased level of NLR is inimical to OS. CONCLUSION: Elevated NLR was detected as an independent adverse prognostic factor. Elevated preoperative NLR predicts poor clinical outcome in GISTpatients and may serve as a cost-effective and broadly available independent prognostic biomarker.
Gastrointestinal stromal tumor (GIST) is the most common subtype of gastrointestinal sarcoma,1 arising from the precursor cells of the interstitial cells of Cajal in the gastrointestinal tract,2 with a estimated annual incidence of 1.5 cases per 100,000 persons.3 The incidence of GISTs occurring in the stomach is 50%, and that occurring in the jejunum and ileum for is 25%. However, GISTs can also occur in the rest gastrointestinal tract as well as within the peritoneum.4 Approximately 85% of GISTs contain a function mutation in the KIT, whereas 3%–5% can have a mutation in platelet-derived growth factor receptor α (PDGFRα).5 The standard treatment for localized, primary gastrointestinal stromal tumor is complete surgical excision, without the dissection of clinically negative lymph nodes.6 However, up to 50% patients treated with surgery alone will develop tumor recurrence within 5 years and eventually die from the disease.5 The progress of small molecule tyrosine kinase inhibitors such as imatinib that selectively inhibits KIT, PDGFRα, ABL, and BCR-ABL, has substantially improved the prognosis of GIST.7 The widely used risk classification incorporates the primary tumor site, mitotic count, and tumor size, which are the three main prognostic factors in localized GIST.8 In addition, tumor rupture (either at surgery or spontaneously) is an independent risk factor that negatively impacts prognosis.9The tumor microenvironment, particularly the inflammatory and immune response, plays an important role in cancer development,10 including GISTs.11 The peripheral neutrophil-to-lymphocyte ratio (NLR) is an accessible, reproducible marker of systemic inflammation. Recently, elevated NLR has been associated with an adverse overall survival (OS) in various solid tumors, such as colorectal cancer,12 gastric cancer,13 renal cell carcinoma,14 non-small-cell lung cancer,15 and ovarian cancer.16 Perez et al17 revealed that high-NLR was associated with poor recurrence-free survival (RFS) in resectable localized GIST, with the exclusion of patients who received adjuvant imatinib treatment. However, it is unclear whether NLR, the readily available biomarker, correlates with OS in GIST.In our study, we retrospectively analyzed the untreated, primary GISTpatients who received curative surgery (surgical resection with curative intent). We used preoperative NLR as-prognostic factor in these patients. The receiver operating characteristic (ROC) curve was used to determine the adequate cut-off value with the best sensitivity and specificity. Preoperative NLR was used to identify patients with better or worse prognosis. Its role as marker for OS was assessed and a potential correlation with established risk criteria was analyzed.8,18
Materials and methods
Patients
Patients were eligible to participate in the study if they met the following criteria: 1) initially diagnosed with primary resectable GIST at the Sun Yat-sen University Cancer Center (SYSUCC) between 2000 and 2010; 2) had Eastern Cooperative Oncology Group (ECOG) status ≤2 3) had available records of complete blood count before any treatment; 4) underwent initial curative surgical resection with or without adjuvant/palliative imatinib treatment; and 5) had available follow-up data. Patients with other types of synchronous tumors or incomplete set of blood values were excluded. Preoperative extent of disease was assessed by using abdominal/pelvic computed tomography or magnetic resonance imaging. The procedures of the study were approved by the Sun Yat-Sen Cancer Center Committee. Written consent was obtained from all participants.
Peripheral blood counts
Peripheral blood samples were obtained from each patient between 8 and 10 o’clock in the morning, within 10 days before surgery. The collected samples were translocated to sterile centrifuge tubes, which were then carefully delivered to the department of clinical laboratory. The complete blood counts were conducted by using the XE-5000TM Automated Hematology System (Sysmex Corporation, Shanghai, People’s Republic of China). None of the patients had clinical signs of infection at the time of blood sampling. Blood NLR was calculated as neutrophil count (number of neutrophils ×109/L) divided by lymphocyte count (number of lymphocytes ×109/L).
Pathological diagnose
Tumor histology was established by the Department of Pathology of SYSUCC. For diagnosis of GIST, formalin-fixed, paraffin-embedded tumor samples were immunohistochemically stained by using standard protocols.19 Tumor size, site, and mitotic rate (number of mitoses per 50 high-power fields) were recorded.
Statistical analysis
Statistical analyses were performed by using the SPSS software (version 18.0; SPSS Inc., Chicago, IL, USA). Because the NLR cut-off value for GIST prognosis was inconsistent, we tried to find the best one. The distributions of the baseline characteristics of the patients were assessed by the χ2 test.20 OS was defined as the time from diagnosis to the date of death or the last date of follow-up. The survival curves were calculated by using the Kaplan–Meier method. Univariate and multivariate Cox proportional hazard regression models were performed to identify associations with outcome variables.21 All tests were two-sided, and P<0.05 was considered statistically significant.
Results
ROC analysis
We used the continuous variable NLR as the test variable, and OS as the state variable. The area under the ROC curve of NLR was 0.736 (95% confidence interval [CI]: 0.646–0.847; P<0.001; Figure 1). For all of the GISTpatients, NLR =2.07 had the highest sensitivity (78.4%) and specificity (57.6%).
Figure 1
Receiver operating characteristic curves for neutrophil-to-lymphocyte ratio (NLR) to predict overall survival (OS).
Notes: In a study of 129 GIST patients, blood NLR was calculated as neutrophil count (×109/L) divided by lymphocyte count (×109/L) by using the results of complete blood counts before surgery. A receiver-operating characteristic graph was constructed to estimate the optimal cut-off value. The area under the receiver-operating characteristic curve of NLR was 0.736. The NLR of 2.07 had the highest sensitivity and specificity. The green line represents the reference line. The blue line represents NLR.
Abbreviations: AUC, area under the receiver-operating characteristic curve; CI, confidence interval; GIST, gastrointestinal stromal tumor.
Patient characteristics
We enrolled 129 consecutive patients in this retrospective study. The median age of the entire population at diagnosis was 55 years (range: 20–86 years) and 60.5% (78/129) of the patients were male. The most common location was the stomach (50.4%; 65/129), followed by the jejunum and ileum (24%; 31/129), colon and rectum (7.8%; 10/129), duodenum (4.7%; 6/129), esophagus (3.9%; 5/129), peritoneum (3.9%; 5/129) and other sites (5.3%; 7/129). The median mitotic rate was 5.5 mitoses/50 HPF (interquartile range: 3–15.75) and the median tumor size was 7 cm (interquartile range: 4–12). Twelve patients had metastatic lesions in liver, enterocelia, pelvic cavity, or peritoneum that were detected during operation. Table 1 shows the baseline parameters stratified according to NLR in all of the patients before treatment.
Table 1
Patient characteristics
Characteristics
Low NLR (%), n=61
High NLR (%), n=68
P-value
Sex
Male
32 (52.5)
46 (67.6)
Female
29 (47.5)
22 (32.4)
0.08
Age (years)
Median (range)
55 (20–89)
55 (21–80)
<60
43 (70.5)
44 (64.7)
>60
18 (29.5)
24 (35.3)
0.48
ECOG PS
0
28 (45.9)
21 (30.9)
1
32 (52.5)
45 (66.2)
2
1 (1.6)
2 (2.9)
0.21
Tumor size (cm)
<5
27 (44.3)
21 (30.9)
>5
34 (55.7)
47 (69.1)
0.15
Mitotic rate (per 50 HPFs)
<5
38 (62.3)
31 (45.6)
>5
23 (37.7)
37 (54.4)
0.08
Location
Stomach
35 (57.4)
30 (44.1)
Jejunum and ileum
9 (14.8)
22 (32.4)
Colon and rectum
7 (11.5)
3 (4.4)
Othera
10 (16.3)
13 (19.1)
0.08
Stage
Ib
27 (44.3)
16 (23.5)
II
14 (23)
11 (16.2)
IIIc
17 (27.8)
32 (47.1)
IVd
3 (4.9)
9 (13.2)
0.02
Malignant potential
Low
20 (32.8)
14 (20.6)
Moderate
8 (13.1)
4 (5.9)
High
33 (54.1)
50 (73.5)
0.06
Imatinib treatmente
27 (44.3)
30 (44.1)
0.97
Notes:
Including the duodenum (4 in the low NLR group, 2 in the high NLR group), esophagus (5 in the high NLR group), peritoneum (2 in the low NLR group, 3 in the high NLR group), omentum (1 in the low NLR group, 1 in the high NLR group), pancreas (1 in the high NLR group), unknown (2 in the low NLR group and 1 in the high NLR group).
Including stage IA and IB diseases.
Including stage IIIA and IIIB diseases.
Metastatic lesions located in liver, enterocelia, pelvic cavity and peritoneum.
Imatinib treatment containing adjuvant and palliative therapy.
The high NLR group had a median OS of 113.0 (113.0±21.2, 95% CI: 74.5–154.5) months, whereas the low NLR group had not reached the median OS both in the general (P<0.001; Figure 2) and subgroup analyses. The patients were classified as having low (n=34), moderate (n=12), or high (n=83) malignant potential according to established criteria.8,18 In the high malignant potential group, the median OS of the patients with high NLR was 71.8 (71.8±29.3; 95% CI: 14.4–129.1) months, and the elevated NLR suggested shorter OS (P=0.01; Figure 3). Despite that the numbers of patients in the low and moderate groups were not adequate for Kaplan–Meier survival analysis, respectively, and that the median OS was not reached in these patients, the increased NLR still implied unfavorable OS in the combined low and moderate malignant potential groups (P=0.02; Figure 4). Moreover, high NLR indicated poor OS regardless of whether or not the patients received imatinib treatment (113±33.3 months in high NLR group, P=0.005; Figure 5, and 103±22.3 months in high NLR group, P=0.032; Figure 6). Considering that more patients in the low NLR group were diagnosed with stage I or II disease and the plurality of patients with elevated NLR distributed in stage III or IV, we analyzed the relationship between NLR and OS in stages I and II, III, and IV, respectively. High NLR indicated poor OS in the patients with stage I and II diseases (P=0.005; Figure 7), although all of the patients with stage I and II diseases had not reached the median OS. We could also detect a clear tendency that increased level of NLR is inimical to OS (82.7±26.3 months in high NLR group, P=0.058; Figure 8).
Figure 2
Overall survival (OS) of GIST patients classified by NLR.
Notes: Kaplan–Meier estimate of the censoring time distribution in 129 GIST patients. High NLR was significantly associated with shorter overall survival. The P-value was calculated by using the log-rank test.
OS of high malignant potential GIST patients classified by NLR.
Note: In the study of 83 GIST patients with high malignant potential, elevated NLR suggested shorter OS, and the patients with low NLR group did not reach the median OS.
Notes: In view of the unbalanced distribution of stages in the two groups, a subgroup analysis within the stages was performed. High NLR was associated with poorer OS in the patients with stage I and II diseases.
In univariate analysis, NLR (hazard ratio [HR]: 4.08; 95% CI: 1.65–10.06; P=0.001), NLR, stage, tumor size, mitotic rate, location, and malignant potential were associated with OS (Table 2). Moreover, multivariate analysis identified only NLR (HR: 3.13, 95% CI: 1.72–10.08, P=0.009) and stage as independent predictive factors. Elevated NLR was detected as an independent adverse prognostic factor.
Table 2
Cox regression analysis for OS
Variable
Univariate
Multivariate
P-value
HR
95% CI
P-value
HR
95% CI
NLR
0.001
4.08
1.65–10.06
0.006
3.22
1.39–7.43
Stage
<0.001
2.44
1.64–3.64
0.018
2.34
1.16–4.73
Tumor size
0.020
2.14
1.12–4.09
0.310
1.45
0.71–2.99
Mitotic rate
0.003
2.91
1.44–5.90
0.104
1.90
0.88–4.13
Locationa
0.011
2.51
1.23–5.11
0.183
1.66
0.79–3.52
Imatinib
0.181
0.66
0.36–1.21
0.083
0.54
0.27–1.08
Malignant potential
0.005
2.38
1.30–4.34
0.863
0.91
0.33–2.54
Note:
Analyzed as a categorical variable for patients with nongastric or gastric stromal tumor.
Various studies have suggested that elevated NLR is associated with poor survival. Templeton et al discovered a consistent effect of elevated NLR on survival (HR =1.81) among various solid tumors and across disease sites and stages.22 In this study, we observed the prognostic impact of NLR on OS. It is interesting that diverse cut-off NLRs for different cancers were reported. For GIST, Perez et al chose the sample median NLR as a cut-off.17 As nuances may exit among the reference values of neutrophil and lymphocyte in multiple clinical laboratories, we used ROC to determine the optimal cut-off value.In the study of GISTs conducted by Perez et al,17 which revealed the negative correlation between NLR and RFS, the authors had to exclude patients who had received adjuvant imatinib therapy to reduce the bias in RFS. This means the patients enrolled in their study mostly had early-stage disease and low and moderate risk of recurrence. However, our work included patients with stage I to II disease with various malignant potential. As an unfavorable prognostic factor, elevated NLR was found to be a valuable predictive parameter for tumor staging in colorectal cancerpatients.23 We discovered that higher NLR was associated with higher prevalence of stage III and IV diseases and with high malignant potential. Howbeit, our data are consistent with the fact that increased NLR was associated with tumor features indicating high malignant potential and possibly with tumor staging in GIST.17The mechanisms underlying the association between high NLR and poor outcome of cancerpatients remain obscure. One potential mechanism may be an association between high NLR with tumor promoting inflammation and immune response, including increased neutrophil and decreased lymphocyte, which are regarded as a hallmark of cancer.24 Increased number of tumor-infiltrating lymphocytes had been associated with better prognosis.25,26 In addition, several tumor-related antigens had been identified as prognostic predictors.27 Balachandran et al found that GISTs induce an intratumoral T-cell immune response suppression by secreting an immunosuppressive enzyme (indoleamine 2,3-dioxygenase).11Meanwhile, as an inflammatory response, accumulated neutrophils have been associated with poor clinical outcome.15 First, increased neutrophils count inhibits the immune system via restraining the cytolytic activity of immune cells such as lymphocytes, activated T-cells, and natural killer cells.28,29 Second, neutrophils had been reported to influence the tumor environment by means of secreting tumor growth promoting factors as vascular endothelial growth factor,30 hepatocyte growth factor,31 interleukin (IL)-6,32 and IL-833 and thus likely contribute to stimulating tumor angiogenesis and progression. To some extent, the NLR indicates an interaction between pro-tumor inflammatory response and anti-tumor immune response.34 With elevated NLR, The inflammatory status seems to be dominant and generates poor outcome.NLR had been incorporated in a simple score for men with metastatic castration-resistant prostate cancer because of providing independent prognostic information.35 As an available and affordable index, NLR might become a biomarker to forecast the therapeutic effect and prognosis in GIST.This study has several limitations. According to the National Comprehensive Cancer Network guideline, patients who undergo completely resection without significant risk of recurrence or preoperative imatinib are not required to receive adjuvant imatinib treatment. Adjuvant imatinib therapy prolongs RFS and may improve OS.7 However, in clinical practice, not all patients eligible for imatinib treatment received imatinib or were treated with a standard duration. This might have resulted in imatinib as an insignificant factor in both univariate and multivariate analyses. The nature of this study being retrospective and non-randomized, and its small patient samples might have led to the failure of the traditionally considered prognostic factors such as tumor size, site, and mitotic rate.8,18
Conclusion
The NLR is an independent factor associated with adverse survival in GIST and may serve as a cost-effective prognostic biomarker. Large scale prospective studies are needed to verify our findings. The utility of NLR for therapeutic decision-making should be evaluated.
Authors: Daniel R Perez; Raymond E Baser; Michael J Cavnar; Vinod P Balachandran; Cristina R Antonescu; William D Tap; Vivian E Strong; Murray F Brennan; Daniel G Coit; Samuel Singer; Ronald P Dematteo Journal: Ann Surg Oncol Date: 2012-10-02 Impact factor: 5.344
Authors: Gemma Gatta; Jan Maarten van der Zwan; Paolo G Casali; Sabine Siesling; Angelo Paolo Dei Tos; Ian Kunkler; Renée Otter; Lisa Licitra; Sandra Mallone; Andrea Tavilla; Annalisa Trama; Riccardo Capocaccia Journal: Eur J Cancer Date: 2011-10-25 Impact factor: 9.162
Authors: E Jabłońska; M Kiluk; W Markiewicz; L Piotrowski; Z Grabowska; J Jabłoński Journal: Arch Immunol Ther Exp (Warsz) Date: 2001 Impact factor: 4.291
Authors: Arnoud J Templeton; Carmel Pezaro; Aurelius Omlin; Mairéad G McNamara; Raya Leibowitz-Amit; Francisco E Vera-Badillo; Gerhardt Attard; Johann S de Bono; Ian F Tannock; Eitan Amir Journal: Cancer Date: 2014-07-03 Impact factor: 6.860
Authors: Mya Sanda Thein; Anita Kohli; Rohit Ram; Maria Clara Ingaramo; Alka Jain; Neal S Fedarko Journal: Cancer Biomark Date: 2017-07-04 Impact factor: 4.388