Skip to main content
Cancer Medicine logoLink to Cancer Medicine
. 2018 Jul 7;7(8):3889–3898. doi: 10.1002/cam4.1581

The diagnostic role and dynamic changes in cerebrospinal fluid neopterin during treatment of patients with primary central nervous system lymphoma

Mingying Geng 1, He Xiao 1, Jiaqi Liu 2, Yang Song 1, Ping Fu 3, Xing Cheng 4, Jinwei Zhang 5, Ge Wang 1,
PMCID: PMC6089159  PMID: 29982995

Abstract

This study aimed at evaluating the diagnostic and prognostic role of neopterin (Npt) concentration in the cerebrospinal fluid (CSF) of patients with primary central nervous system lymphoma (PCNSL). Ninety‐nine patients were enrolled in this retrospective study; these included patients with PCNSL (n = 21), other brain tumors (n = 44), and inflammatory diseases (n = 34). CSF Npt concentration was measured using ELISA. Receiver operating characteristic (ROC) curve analysis was performed to assess the discriminative ability of CSF Npt concentration for the diagnosis of PCNSL. CSF Npt concentration in patients with PCNSL was significantly higher than that in patients with other brain tumors and inflammatory diseases (P < .001). On ROC curve analysis, the optimal cutoff CSF Npt level of 10.77 ng/mL for the diagnosis of PCNSL and the diagnostic yield of MRI were increased when used in conjunction with CSF Npt concentration. The CSF Npt concentrations in PCNSL patients with multiple lesions were significantly higher than those in patients with a single lesion. Changes in CSF Npt concentration were consistent with post‐treatment changes in tumor sizes. The CSF Npt concentration may be a good biomarker for the diagnosis, for monitoring of disease course, and for prognostic evaluation of patients with PCNSL.

Keywords: biomarker, brain tumor, cerebrospinal fluid, inflammation, neopterin, primary central nervous system lymphoma

1. INTRODUCTION

Primary central nervous system lymphoma (PCNSL) is an extranodal non‐Hodgkin's B cell lymphoma that originates in the brain tissue, leptomeninges, spinal cord, or eyes. The disease is typically confined to the central nervous system (CNS) with no extracranial extension.1 PCNSL is a rare tumor and accounts for approximately 3%‐5% of primary brain tumors. Approximately 90% of PCNSLs are diffuse large B‐cell lymphoma (DLBCL). During the past 25 years, the incidence of PCNSL has increased by approximately 3‐fold, especially in the HIV‐positive population.2 Although the pathogenesis of PCNSL remains unclear, it is believed that a systemically originating malignant clone of B cells is activated and homes into the immunologically privileged CNS, where the tumor cells undergo secondary mutations and proliferate.3 The PCNSL lesions most commonly involve the brain parenchyma. In a study, approximately 30%‐35% of patients with PCNSL were found to have multifocal lesions in the white matter, corpus callosum, basal ganglia, thalamus, and cerebellum.4 PCNSL often transiently responds to glucocorticoids, and the initial response to glucocorticoids may be used as a prognostic marker for PCNSL.5 PCNSL is commonly associated with a poor prognosis. High‐dose methotrexate‐based chemotherapy (H‐MTX) has greatly improved the prognosis of PCNSL patients as compared to that with whole‐brain radiotherapy (WBRT).5, 6 High‐dose chemotherapy followed by autologous stem cell transplantation as the first‐line treatment has been shown to improve 2‐year survival in elderly patients with PCNSL.7

Because patients with PCNSL commonly present with various nonspecific neurological symptoms, the diagnosis of PCNSL is sometimes difficult. Magnetic resonance imaging (MRI), especially contrast‐enhanced MRI, is the method of choice for the detection of PCNSL. However, as PCNSL does not have a characteristic radiological feature, misdiagnosis is not uncommon,6, 8, 9 and the differential diagnosis of PCNSL from other brain tumors such as meningioma, glioma, and metastatic brain tumors and some inflammatory diseases such as sarcoidosis and multiple sclerosis is typically challenging.8 Indeed, correct diagnosis of an atypical focal brain lesion based solely on radiological examination is a formidable challenge. Brain biopsy is the main diagnostic approach for PCNSL. However, brain biopsy is inadvisable for small or deeply located tumors and in patients at a high risk of hemorrhage or severe complications. In addition, diagnosis based on brain biopsy specimens obtained after craniotomy or stereotactic brain biopsy can result in a failure rate of approximately 10%‐35% in patients with rapidly deteriorating neurological conditions.10 Cytology or tumor biomarkers in the cerebrospinal fluid (CSF) are important for diagnosis and differential diagnosis of PCNSL, especially for patients who are not suitable for brain biopsy.6, 11 Identification of diagnostic biomarkers may help in the early diagnosis and treatment of PCNSL and improve patient prognosis.

Neopterin (Npt; 2‐amino‐6‐(1,2,3‐trihydroxypropyl)‐4(3H)‐pteridinone) is an intermediate metabolite in the process of biosynthesis of guanosine triphosphate (GTP).12 It is mainly synthesized and released by monocytes‐macrophages in response to the stimulation by cytokine interferon‐γ. It is stable in the body fluids such as blood, urine, CSF, and pleural fluid. Although the biologic characteristics of Npt remain unclear,13 Npt is regarded as a good biomarker of immune activation mediated by the “lymphocyte‐macrophage axis”.14 It is closely associated with cell‐mediated immune response in infectious states,15, 16 sepsis,17, 18 malignant tumors,19, 20, 21 and severe traumatic brain injury.22 However, it remains unclear whether Npt levels in the CSF can assist in the diagnosis of PCNSL. In this study, we compared the CSF Npt levels in combination with MRI and histological findings in patients with PCNSL, other brain tumors, and CNS inflammatory diseases. The purpose of this study was to investigate the diagnostic role of CSF Npt concentration in patients with PCNSL and to assess its use to distinguish PCNSL from other brain tumors and inflammatory diseases of the brain.

2. MATERIALS AND METHODS

2.1. Patients

This study was approved by the medical ethics committee at the local hospital. Written informed consent was obtained from all patients prior to their enrollment. This retrospective study included 99 patients with suspected PCNSL or inflammatory diseases of the CNS, who were hospitalized between October 2013 and October 2016 at the following hospitals: Departments of Neurosurgery, Neurology, Oncology, and Hematology at the Daping Hospital of the Third Military Medical University; Department of Neurosurgery at Chongqing Cancer Hospital; Department of Neurosurgery at the Second Affiliated Hospital of Chongqing Medical University; and Department of Neurosurgery at the Second Affiliated Hospital of Harbin Medical University. The inclusion criteria were as follows: (1) patients with suspected primary PCNSL, CNS inflammatory disease, or suspected metastatic encephaloma from other cancers for whom preoperative MRI or computerized tomography (CT) images were available; (2) HIV‐negative status; (3) CSF samples available; and (4) informed consent obtained from patients or their relatives (in the case of patients <18 years of age or those with mental disorders). The exclusion criteria were as follows : (1) age < 12 years; (2) history of trauma, malignant tumor, autoimmune diseases, or organ transplantation; (3) patients with symptoms of increased intracranial pressure, such as headache, nausea, vomiting, and optic disk edema owing to the increased risk of lumbar puncture; and (4) brain tissue deformation due to compression by tumor or peritumoral edema to prevent brain herniation; and (5) CNS metastasis from lymphoma identified by chest, abdomen, and pelvic examination.

2.2. Measurement of the CSF Npt concentration

Cerebrospinal fluid (4‐5 mL) samples were obtained via lumbar puncture for routine CSF examination prior to the start of any treatment. Only 2 patients (case 8 and case 20) had received brief steroid therapy before enrollment. The typical interval between CSF collection and MRI examination was <1 week. Two hours after CSF collection, CSF samples were centrifuged at 2000 g for 10 minutes, and the supernatants were frozen and stored at −80°C. The concentration of Npt in the CSF was measured using the human neopterin (Npt) ELISA kit (MyBioSource, LLC, CA, USA, Cat No. MBS2600934), according to the manufacturer's instructions. This Npt kit had a detection range of 0.312‐20 ng/mL, with a minimum detection limit of 0.06 ng/mL. The storage time of CNS samples ranged from 3 to 72 days.

2.3. MRI

All patients underwent MRI with a 3.0T Verio device (Siemens AG, Erlangen Germany). MRI scans were performed in 8‐channel head‐and‐neck coils. The MR sequences used in this study included T1‐weighted image (T1WI), T2‐weighted image (T2WI), fluid‐attenuated inversion recovery (FLAIR), diffusion‐weighted imaging (DWI), perfusion‐weighted imaging (PWI), and magnetic resonance spectroscopy (MRS). Enhanced MRI was performed after intravenous injection of gadolinium diethylenetriamine pentaacetic acid (Gd‐DTPA; 0.1 mmol/kg) at the rate of 3 mL/s. All data were transferred to Siemens workstation for further processing.

2.4. Evaluation

True‐positive PCNSL (L‐L) was defined by the diagnosis of PCNSL by both MRI and histology. False‐positive PCNSL (L‐NL) was defined by the diagnosis of PCNSL by MRI, but not by histology. False‐negative PCNSL (NL‐L) was defined by the diagnosis of PCNSL by histology, but not by MRI. True‐negative PCNSL (NL‐NL) was defined by the diagnosis of non‐PCNSL by both MRI and histology.

All patients underwent MRI and measurement of the CSF Npt concentrations before and after surgery, and during the follow‐up period of 1, 3, and 6 months. Complete remission (CR) was defined by post‐treatment disappearance of tumor mass on enhanced MRI. Partial remission (PR) was defined by post‐treatment decrease in tumor size (measured by the sum of the maximal diameter of the lesion) by ≥50% on enhanced MRI. Stable disease (SD) referred to a decrease in tumor size by <50% or an increase in tumor size by ≤25% on enhanced MRI after treatment. Progressive disease (PD) referred to an increase in tumor mass by >25% on enhanced MRI after treatment.

2.5. Statistical analysis

Statistical analyses were performed using SPSS 21.0 software (SPSS, Chicago, IL, USA). Quantitative data with normal distribution such as age and KPS are expressed as mean ± SD and the between‐group differences assessed with analysis of variance (ANOVA). Non‐normally distributed quantitative variables such as the CSF Npt concentration and biochemical data are expressed as median and range, and between‐group differences assessed by nonparametric Kruskal‐Wallis test, followed by post hoc Mann‐Whitney U test. Spearman's correlation analysis was performed to assess the relationship between Npt concentration and other biochemical CSF parameters. Receiver operating characteristic (ROC) curve analysis was performed to assess the discriminative ability of CSF Npt concentration for the diagnosis of PCNSL. Probability values <.05 were considered statistically significant.

3. RESULTS

3.1. Baseline characteristics

This study enrolled 99 patients including 65 patients with brain tumors and 34 patients with CNS inflammatory diseases. All brain tumors were surgically removed, and the diagnosis was confirmed by histopathological examination.

Of the 65 patients with brain tumors, 21 patients had PCNSL, including 20 patients with DLBCL and one patient with T‐cell lymphoma. Of the 21 patients with PCNSL, MR images showed multiple supratentorial lesions in 9 patients, while a single lesion was observed in 12 patients (1 orbital tumor, 2 infratentorial tumors, and 9 supratentorial tumors). Based on the MR images, the average number of tumors was 2 (range, 1‐7) and the mean total added tumor volume was 3.15 cm3 (range, 0.41‐21.3 cm3). Two patients received steroids before examination. Five patients were continuously followed up with complete data on MRI of the tumors and the CSF Npt concentrations.

Of the 44 patients with other brain tumors, 19 patients had newly diagnosed glioma; these included 4 patients with grade III glioblastoma, 6 patients with anaplastic glioma, 8 patients with diffuse astrocytoma, and 1 patient with pilocytic glioma. Meningioma was diagnosed in 9 patients, while 4 patients had metastatic brain tumors from lung cancer. The remaining 12 patients included 4 patients with schwannoma, and 1 patient each with olfactory neuroblastoma, embryoma, vascular malformation, pituitary tumor, craniopharyngioma, chordoma, medulloblastoma, and germ cell tumor. Five patients had received dexamethasone treatment prior to the collection of CSF specimens.

For the 34 patients with CNS inflammatory diseases, the specific diagnosis was viral encephalitis (n = 12), purulent meningitis (n = 2), allergic meningitis (n = 1), multiple neuritis (n = 1), unclassified encephalitis (n = 3), cryptococcal encephalitis (n = 4), multiple sclerosis (n = 3), encephalomalacia (n = 3), cyst (n = 2), fungal infection (n = 1), Creutzfeldt‐Jakob disease (n = 1), and cerebral amyloid angiopathy (n = 1).

3.2. Npt concentration in CSF is elevated in patients with PCNSL

Table 1 summarizes the age, sex, Karnofsky Performance Status score (KPS score), and CSF biochemical parameters including total cell count, white blood cell (WBC) count, lactate dehydrogenase (LDH), glucose, protein, and the CSF Npt concentrations in all patients. There were significant differences between the 3 groups with respect to age, KPS score, total cell count, WBC count, LDH, glucose, and CSF Npt concentration (Table 1). CSF Npt concentration in patients with PCNSL was significantly higher than that in patients with other brain tumors (23.98 and 6.05 ng/mL, respectively; P < .001) and in patients with inflammatory diseases (7.50 ng/mL, P < .001; Figure 1A). CSF Npt concentration showed a negative correlation with total cell counts (r = −.199, P = .048) and WBC counts (r = −.245, P = .014) in all patients. No significant correlation between the CSF Npt concentration and other parameters was found.

Table 1.

Demographic and CSF data in patients with PCNSL, other brain tumors, and inflammatory diseases

PCNSL (n = 21) Other brain tumors (n = 44) Inflammatory diseases (n = 34) P
Sex
Female 9 21 18 .761
Male 12 23 16
Age, median (range) 54 (36‐75) 47 (19‐81) 45.5 (18‐76) .019
KPS score, median (range) 70 (50‐90) 85 (60‐90) 75 (30‐90) <.001
Cell count, median (range) × 109/L 0.012 (0.000‐1.104) 0.191 (0.001‐47.995) 0.114 (0.002‐52.640) .006
WBC count, median (range) × 109/L 0.006 (0.000‐0.032) 0.022 (0.000‐21.400) 0.016 (0.001‐4.160) .001
LDH, median (range) U/L 34.2 (14.2‐319.9) 53.2 (8.1‐393.1) 23.6 (7.7‐1594.8) .037
Glucose, median (range) mmol/L 3.34 (1.84‐7.69) 2.66 (0.41‐4.67) 3.29 (0.08‐4.45) .018
Protein, median (range) g/L 0.91 (0.24‐11.29) 0.73 (0.16‐3.09) 0.375 (0.12‐19.00) .120
Neopterin, median (range) ng/mL 23.98 (5.32‐62.47) 6.05 (2.32‐28.43) 7.50 (3.30‐16.87) <.001

PCNSL, primary central nervous system lymphoma; KPS, Karnofsky Performance Status; WBC, white blood cell; LDH, lactate dehydrogenase.

Figure 1.

Figure 1

Diagnostic performance of CSF Npt concentration. A, Box plot of CSF neopterin concentrations in patients with PCNSL, other brain tumors (OBT), and inflammatory diseases (ID). Data are presented as median and range. P < .001 for PCNSL vs OBT and PCNSL vs ID. B, Receiver operating characteristic (ROC) curve was used to determine the cutoff value of neopterin level in the CSF to distinguish PSNCL from other brain tumor types in 65 patients with brain tumors. The area under the curve (AUC) was determined. C, Representative MR images and Npt concentrations in CSF in a true‐positive PCNSL case (C1), a false‐positive PCNSL case (C2), a false‐negative PCNSL case (C3), and a true‐negative PCNSL case (C4). C1 Npt: 28.291 ng/mL; C2 Npt: 7.229 ng/mL; C3 Npt: 23.976 ng/mL; and C4 Npt: 5.118 ng/mL

3.3. Diagnostic performance of CSF Npt concentration

ROC curve analysis was used to evaluate the role of the CSF Npt concentration in discriminating PCNSL from other brain tumors. The results showed that the CSF Npt concentration was able to discriminate PCNSL from other brain tumors in 65 patients with brain tumors (Figure 1B). The optimal cutoff value of 10.77 ng/mL for the diagnosis of PCNSL was associated with 95.2% sensitivity, 84.1% specificity, 74.1% positive predictive value, and 97.4% negative predictive value (AUC = 0.932, 95% CI: 0.868‐0.996). The cutoff value of 10.77 ng/mL was able to discriminate PCNSL from other brain tumors and inflammatory diseases in all 99 patients with 95.2% sensitivity, 83.3% specificity, 60.6% positive predictive value, and 98.5% negative predictive value.

3.4. Association of CSF Npt concentration with radiological findings and tumor number

We further examined the association of the CSF Npt concentration with MRI findings for the diagnosis of PCNSL. Of the 21 histologically confirmed cases of PCNSL, correct diagnosis of PCNSL by MRI was made only in 11 patients. The sensitivity of MRI for the diagnosis of PCNSL was 52.4% (11/21). Of the 10 false‐negative PCNSL cases, 9 patients had CSF Npt concentrations greater than the cutoff value (10.77 ng/mL). The sensitivity of CSF Npt concentration for the diagnosis of PCNSL was 90% (9/10). Of the 44 patients with other brain tumors, correct diagnosis of non‐PCNSL by MRI was made in 38 cases. The sensitivity of MRI for the diagnosis of non‐PCNSL was 86.4% (38/44). Of the 6 false‐positive PCNSL cases, only one patient had CSF Npt concentration greater than the cutoff value. The sensitivity of CSF Npt concentration for the diagnosis of non‐PCNSL was 83.3% (5/6). Of the 38 true‐negative PCNSL cases, 6 patients had CSF Npt concentrations greater than the cutoff value. The sensitivity of CSF Npt concentration for the diagnosis of non‐PCNSL was 84.2% (32/38). Figure 1C shows the representative MRI mages and the CSF Npt concentrations of a true‐positive PCNSL case, a false‐positive PCNSL case, a false‐negative PCNSL case, and a true‐negative PCNSL case. CSF Npt concentration of >10.77 ng/mL increased the diagnostic yield of MRI for PCNSL, but did not increase its specificity.

Cerebrospinal fluid Npt concentrations in patients with multiple PCNSL lesions were significantly higher than those in patients with a single PCNSL lesion (median: 28.21 and 20.48 ng/mL, respectively, = .035). Of the 21 patients with PCNSL, 20 (95.2%) patients had CSF Npt concentration greater than the cutoff value of 10.77 ng/mL. Only 1 patient (case 4 in Table 2), who received steroids before examination, had CSF Npt concentration <10.77 ng/mL (5.317 ng/mL), and the CSF sample was thawed twice for more than 12 hours.

Table 2.

Baseline characteristics of 21 patients with PCNSL

Case Sex/Age Region Single/multiple Preoperative MRI diagnosis Pathology KI‐67 (%) Npt (ng/mL) LDH (U/L) Treatment Response Survival
1 M/44 Left frontal Single Glioma; lymphoma DLBCL 80 21.743 256.5 MTX/WBRT CR Yes
2 M/68 Right temporal/parietal Single Lymphoma DLBCL 70 46.739 146.7 WBRT CR No
3 M/67 Left frontal/parietal/temporal Multiple Multiple metastatic tumors DLBCL 50 11.012 141.5 MTX PR No
4 F/54 Sellar Single Pituitary adenoma TCL 40 5.317 175.2 GKS/TMZ CR Yes
5 F/45 Right frontal Single Lymphoma DLBCL 60 22.085 187.3 MTX/WBRT CR Yes
6 M/78 Right frontal/parietal Multiple Multiple meningioma DLBCL 60 38.446 201.2 GKS/TMZ PR No
7 M/49 Left parieto‐occipital Single Lymphoma; angiogenic tumor DLBCL 60 11.084 186.2 WBRT/TMZ CR Yes
8 F/61 Optic chiasm//left parietal Multiple Lymphoma DLBCL 60 62.474 179.2 Steroid PD No
9 F/75 Right frontoparietal Single Lymphoma DLBCL 80 12.594 214.2 WBRT CR Yes
10 M/52 Bilateral frontal Single High‐grade glioma DLBCL 90 20.457 189 MTX/WBRT CR Yes
11 F/63 Left basal ganglion Single High‐grade glioma DLBCL 40 28.291 183.8 GKS CR No
12 M/59 Corpus callosum/bilateral parietal Multiple Lymphoma DLBCL 80 16.883 1501 MTX/WBRT CR Yes
13 M/67 Bilateral cerebral Multiple Metastatic tumors DLBCL 70 43.746 176 MTX CR Yes
14 M/59 Bilateral cerebellar Multiple Bilateral cerebellar tumor DLBCL 20 26.968 138.6 MTX/WBRT CR No
15 M/36 Right trigone of the ventricle Multiple Meningioma; neuroma; glioma DLBCL 80 36.833 86.4 MTX/WBRT CR Yes
16 F/68 Right parietal Single Lymphoma; glioma DLBCL 90 13.442 203.9 WBRT CR No
17 F/45 Right frontal/left occipital Multiple Lymphoma DLBCL 50 13.358 187.7 MTX/WBRT CR Yes
18 M/46 Right frontal/parietal Multiple Lymphoma DLBCL 40 55.754 190.1 Steroid PD No
19 F/49 Left frontal/right occipital Multiple Lymphoma; metastatic tumor DLBCL 60 29.461 161.1 MTX/WBRT CR Yes
20 M/51 Right parietal Multiple Suspected inflammatory lesions DLBCL 50 25.582 647.9 Steroid PD No
21 F/44 Bilateral basal ganglion/cerebellum Multiple Infection; vascular lesion; tumor DLBCL 60 23.976 224.8 WBRT/TMZ CR Yes

M, male; F, female; MTX, methotrexate; WBRT, whole‐brain radiotherapy; GKS, Gamma Knife surgery; TMZ, temozolomide; CR, complete remission; PR, partial remission; PD, progress disease.

Of the 44 patients with non‐PCNSL tumors, 9 (20.45%) patients had CSF Npt concentrations greater than the cutoff value (10.77 ng/mL); these included 3 patients with glioblastoma, 3 patients with grade II astrocytoma, and 1 patient each with meningioma, olfactory neuroblastoma, and vascular malformation. No characteristic MRI findings were observed in these 9 patients.

Of the 34 patients with inflammatory diseases, 6 (17.6%) patients had CSF Npt concentrations greater than the cutoff value; these included 2 patients with purulent meningitis, 1 patient with allergic meningitis, 1 patient with multiple neuritis, and 2 patients with viral encephalitis.

3.5. Dynamic changes of CSF Npt concentration in patients with PCNSL

Three patients (Cases 2, 8, and 18) who had high CSF Npt concentrations (46.7, 62.5, and 55.754 ng/mL) died at day 3, day 27, and 8 months after surgery, respectively (Table 2).

Five patients (Cases 2, 5, 7, 17, and 19) underwent regular MRI examination and assessment of CSF Npt concentration during the follow‐up. For these 5 patients, changes in CSF Npt concentrations were consistent with the changes in tumor size on MRI (Figure 2A). MRI showed CR in the 5 patients, and the CSF Npt concentrations were <10.77 ng/mL after treatment for 3 months. In Case 2, the Npt concentration decreased from preoperative 46.739 ng/mL to postoperative 26.968 ng/mL and further decreased to 11.012 ng/mL after whole‐brain radiotherapy (12 times, 24 Gy). Radiotherapy was stopped due to disease aggravation. At the 1‐month follow‐up, MRI showed PR and the CSF Npt concentration was 11.084 ng/mL. At the 3‐month follow‐up, MRI showed CR and the CSF Npt concentration was 8.279 ng/mL. At the 9‐month follow‐up, the disease aggravated with signs of tumor recurrence on MRI. The patient was hospitalized in another hospital, and the CSF Npt concentration was not measured due to the critical condition of the patient. In Case 9 who had 2 lesions (one each in the left frontal region and right occipital region), the CSF Npt concentration was not obviously reduced at 1 month after removal of the tumor in the left frontal region (preoperative: 29.46 ng/mL; postoperative: 25.58 ng/mL), and the MRI showed enlargement of the tumor in the right occipital region. The patient was administered 6 cycles of methotrexate (MTX) and whole‐brain radiotherapy (36 Gy). After radiotherapy for 3 months, the CSF Npt concentration was decreased to13.44 ng/mL and MRI showed CR with considerable edema. Six months after whole‐brain radiotherapy, the CSF Npt concentration was further decreased to 7.44 ng/mL and MRI showed CR with no obvious reduction in edema (Figure 2B).

Figure 2.

Figure 2

Monitoring tumor dynamics with CSF Npt concentration. A, Changes in the CSF Npt concentration before (T1) and immediately after (T2) surgery and at 1 (T3), 3 (T4), 6 (T5), and 9 (T6) months after surgery in 5 patients (Cases 2, 5, 7, 17, and 19). B, MR images and CSF Npt concentration in a 49‐y‐old woman with PCNSL

4. DISCUSSION

In this study, we assessed the CSF Npt concentration in patients with PCNSL, other brain tumors, and CNS inflammatory diseases. We found that CSF Npt concentration in patients with PCNSL was significantly higher than that in those with other brain tumors and inflammatory diseases. On ROC curve analysis, a cutoff CSF Npt concentration of 10.77 ng/mL was found to effectively discriminate PCNSL from other brain tumors. CSF Npt concentrations >10.77 ng/mL were associated with increased diagnostic yield of MRI for PCNSL. In addition, changes in the CSF Npt concentration were consistent with the changes in tumor size on MRI during follow‐up. Therefore, CSF Npt concentration may serve as a useful biomarker for the diagnosis and monitoring of disease progression in patients with PCNSL.

Npt is mainly released from monocytes‐macrophages on stimulation by interferon‐γ.13 In the brain, microglial cells are the monocytes‐macrophages that have been found to be the main source of Npt in the CSF.23, 24, 25, 26 As PCNSL is commonly associated with increased microglial cell infiltration, increased Npt concentration in the CSF may be due to its increased secretion from microglial cells. In addition, human astrocytes were shown to disrupt the integrity of the blood‐brain barrier by a gap junction‐dependent mechanism,27 which leads to the release of Npt into the extracellular fluid and CSF.28, 29 Furthermore, PCNSL tumor cells can secrete monocyte chemoattractant proteins which may induce the secretion of Npt from monocytes‐macrophages.30 Several studies have also reported that B lymphocytes can secrete Npt.31, 32 In the present study, we found that the CSF Npt concentration in patients with PCNSL was significantly higher than that in patients with other brain tumors and inflammatory diseases. The higher Npt concentration in patients with PCNSL may be due to its increased secretion by tumor cells and/or the result of strong immune reaction induced by microglial infiltration.

In our study cohort of 99 patients, the cutoff CSF Npt concentration of 10.77 ng/mL was able to discriminate PCNSL from other brain tumors and inflammatory diseases with 95.2% sensitivity, 83.3% specificity, 60.6% positive predictive value, and 98.5% negative predictive value. Twenty‐one patients with PCNSL who had far low concentration of Npt included 20 patients with DLBCL and only one patient with T‐cell lymphoma. Therefore, it appears that Npt is only useful for the diagnosis of PCNSL associated with DLBCL histology. A decrease in the positive predictive value was observed after inclusion of patients with inflammatory diseases in the analysis. This may be because the 6 patients with inflammatory diseases had CSF Npt concentrations greater than the cutoff value of 10.77 ng/mL. As inflammation is known to trigger cell‐mediated immune response, increased release of Npt from monocytes‐macrophages via T lymphocytes may have led to the increase in the CSF Npt concentration in these patients.17, 33

Several CSF biomarkers such as antithrombin III,34 microRNAs,35 CXCL13 and IL‐10,36 and Npt19 have been shown to be highly specific for the diagnosis of PCNSL. In the study, we found that the CSF Npt concentration >10.77 ng/ml was able to discriminate PCNSL from other brain tumors with a sensitivity of 95.2% and a specificity of 84.1%. In addition, we found that the concomitant use of CSF Npt concentration greatly improved the diagnostic yield of cases of PCNSL with MRI. Npt is brain‐derived and not associated with blood‐brain barrier dysfunction.29 The CSF Npt concentration is greatly higher than the serum Npt concentration.29, 37, 38 Moreover, serum Npt concentration cannot be used in place of CSF Npt concentration for the diagnosis of PCNSL, as the serum Npt concentration is affected by many factors such as viral or bacterial infection and renal diseases.19 We determined serum Npt concentrations in patients with PCNSL, other brain tumors, and inflammatory diseases and found no significant differences among these patients (data not shown).

MRI does not have a high specificity for distinguishing PCNSL from glioma and metastatic brain tumors39, 40 and often results in misdiagnosis.6, 8, 9 In the present study, the sensitivity of MRI for the diagnosis of PCNSL was 52.4% (11/21), whereas the sensitivity of CSF Npt concentration for the diagnosis of PCNSL was 90% (9/10) in the 10 false‐negative PCNSL cases. In addition, the sensitivity of MRI for the diagnosis of non‐PCNSL was 86.4% (38/44 patients with brain tumors), whereas the sensitivity of CSF Npt concentration for the diagnosis of non‐PCNSL was 83.3% in the 6 false‐positive PCNSL cases and 84.2% in the 38 true‐negative PCNSL cases. Therefore, the CSF Npt concentration increased the positive detection rate of PCNSL by MRI, but did not increase the specificity of MRI for the diagnosis of PCNSL. Based on our findings, the use of CSF Npt concentration may improve the correct diagnosis of PCNSL and help avert the risk of obtaining brain biopsy specimens via stereotactic brain biopsy and craniotomy.

In this study, 2 patients (Cases 8 and 18) died on days 3 and 27 after surgery due to rapid disease progression. Both patients had CSF Npt levels greater than the cutoff value. Delayed diagnosis and treatment of PCNSL may result in rapid disease progression, and early treatment is essential to prevent disease progression and even death in these patients. As the therapeutic regimen is greatly different between PCNSL and other brain tumors, early correct diagnosis is very important for the selection of therapeutic regimen and improvement of prognosis of patients with PCNSL. For patients with high preoperative CSF Npt concentration, early brain biopsy should be performed to confirm the diagnosis, which may help avoid craniotomy. Once the diagnosis of PCNSL is confirmed, high‐dose methotrexate should be promptly administered as the first‐choice treatment. In addition, methotrexate in combination with other chemotherapeutic agents,41 autologous stem cell transplantation,42, 43 or rituximab44, 45 have been found to improve prognosis of patients with PCNSL.

We also found that CSF Npt concentration in PCNSL patients with multiple lesions was significantly higher than that in patients with single lesion. The 3 patients (Cases 2, 8, and 18) who died at 3 days, 27 days, and 8 months after surgery had multiple lesions with a high CSF Npt concentration. These findings suggest that CSF Npt concentration increases with the increase in the number of tumors and may be associated with poor prognosis in PCNSL patients. It has been reported that a high serum Npt concentration is associated with poor prognosis in patients with lung cancer.21 As Npt is stable in the CSF, dynamic measurement of changes in the CSF Npt concentration may be valuable for monitoring disease progression and for prognostic assessment of patients with PCNSL.

In summary, we found that the CSF Npt concentration was higher in patients with PCNSL than in patients with other brain tumors and inflammatory diseases. CSF Npt concentration may be a valuable biomarker for the diagnosis of PCNSL.19, 34, 35, 36 For suspected PCNSL patients with low CSF Npt concentration, craniotomy should be performed to remove the tumor as soon as possible. For suspected PCNSL patients with high CSF Npt concentration, brain biopsy should be performed as early as possible to confirm the diagnosis of PCNSL. If brain biopsy is contraindicated, the diagnosis of PCNSL should be first considered based on the high CSF Npt concentration, MRI findings, and the clinical symptoms; high‐dose methotrexate should be promptly administered in these patients as the first‐choice treatment. Owing to the retrospective study design and the relatively small sample size, our conclusions should be confirmed by a prospective study with a large sample size.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

Geng M, Xiao H, Liu J, et al. The diagnostic role and dynamic changes in cerebrospinal fluid neopterin during treatment of patients with primary central nervous system lymphoma. Cancer Med. 2018;7:3889–3898. 10.1002/cam4.1581

Mingying Geng and He Xiao are equally contributed to this study.

REFERENCES

  • 1. Zhao D, Qian L, Shen J, et al. Combined treatment of rituximab, idarubicin, dexamethasone, cytarabine, methotrexate with radiotherapy for primary central nervous system lymphoma. J Cell Mol Med. 2014;18:1081‐1086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Fraser E, Gruenberg K, Rubenstein JL. New approaches in primary central nervous system lymphoma. Chin Clin Oncol. 2015;4:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Rubenstein JL, Treseler P, O'Brien JM. Pathology and genetics of primary central nervous system and intraocular lymphoma. Hematol Oncol Clin North Am. 2005;19:705‐717, vii. [DOI] [PubMed] [Google Scholar]
  • 4. Kuker W, Nagele T, Korfel A, et al. Primary central nervous system lymphomas (PCNSL): MRI features at presentation in 100 patients. J Neurooncol. 2005;72:169‐177. [DOI] [PubMed] [Google Scholar]
  • 5. Mathew BS, Carson KA, Grossman SA. Initial response to glucocorticoids. Cancer. 2006;106:383‐387. [DOI] [PubMed] [Google Scholar]
  • 6. Sierra del Rio M, Rousseau A, Soussain C, Ricard D, Hoang‐Xuan K. Primary CNS lymphoma in immunocompetent patients. Oncologist. 2009;14:526‐539. [DOI] [PubMed] [Google Scholar]
  • 7. Schorb E, Fox CP, Fritsch K, et al. High‐dose thiotepa‐based chemotherapy with autologous stem cell support in elderly patients with primary central nervous system lymphoma: a European retrospective study. Bone Marrow Transplant. 2017;52:1113‐1119. [DOI] [PubMed] [Google Scholar]
  • 8. Bataille B, Delwail V, Menet E, et al. Primary intracerebral malignant lymphoma: report of 248 cases. J Neurosurg. 2000;92:261‐266. [DOI] [PubMed] [Google Scholar]
  • 9. Sasayama T, Nakamizo S, Nishihara M, et al. Cerebrospinal fluid interleukin‐10 is a potentially useful biomarker in immunocompetent primary central nervous system lymphoma (PCNSL). Neuro Oncol. 2012;14:368‐380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Josephson SA, Papanastassiou AM, Berger MS, et al. The diagnostic utility of brain biopsy procedures in patients with rapidly deteriorating neurological conditions or dementia. J Neurosurg. 2007;106:72‐75. [DOI] [PubMed] [Google Scholar]
  • 11. Hytonen J, Kortela E, Waris M, Puustinen J, Salo J, Oksi J. CXCL13 and neopterin concentrations in cerebrospinal fluid of patients with Lyme neuroborreliosis and other diseases that cause neuroinflammation. J Neuroinflammation. 2014;11:103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Iwagaki H, Hizuta A, Tanaka N, Orita K. Plasma neopterin/C‐reactive protein ratio as an adjunct to the assessment of infection and cancer cachexia. Immunol Invest. 1995;24:479‐487. [DOI] [PubMed] [Google Scholar]
  • 13. Mahmoud RA, El‐Gendi HI, Ahmed HH. Serum neopterin, tumor necrosis factor‐alpha and soluble tumor necrosis factor receptor II (p75) levels and disease activity in Egyptian female patients with systemic lupus erythematosus. Clin Biochem. 2005;38:134‐141. [DOI] [PubMed] [Google Scholar]
  • 14. Mehta PD, Patrick BA, Dalton AJ, et al. Increased serum neopterin levels in adults with Down syndrome. J Neuroimmunol. 2005;164:129‐133. [DOI] [PubMed] [Google Scholar]
  • 15. Hagberg L, Dotevall L, Norkrans G, Larsson M, Wachter H, Fuchs D. Cerebrospinal fluid neopterin concentrations in central nervous system infection. J Infect Dis. 1993;168:1285‐1288. [DOI] [PubMed] [Google Scholar]
  • 16. Bagnato F, Durastanti V, Finamore L, Volante G, Millefiorini E. Beta‐2 microglobulin and neopterin as markers of disease activity in multiple sclerosis. Neurol Sci. 2003;24(Suppl 5):S301‐S304. [DOI] [PubMed] [Google Scholar]
  • 17. Andert SE, Griesmacher A, Zuckermann A, Muller MM. Neopterin release from human endothelial cells is triggered by interferon‐gamma. Clin Exp Immunol. 1992;88:555‐558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bevilacqua MP. Endothelial‐leukocyte adhesion molecules. Annu Rev Immunol. 1993;11:767‐804. [DOI] [PubMed] [Google Scholar]
  • 19. Viaccoz A, Ducray F, Tholance Y, et al. CSF neopterin level as a diagnostic marker in primary central nervous system lymphoma. Neuro Oncol. 2015;17:1497‐1503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Widner B, Wirleitner B, Baier‐Bitterlich G, Weiss G, Fuchs D. Cellular immune activation, neopterin production, tryptophan degradation and the development of immunodeficiency. Arch Immunol Ther Exp (Warsz). 2000;48:251‐258. [PubMed] [Google Scholar]
  • 21. Prommegger R, Widner B, Murr C, Unger A, Fuchs D, Salzer GM. Neopterin: a prognostic variable in operations for lung cancer. Ann Thorac Surg. 2000;70:1861‐1864. [DOI] [PubMed] [Google Scholar]
  • 22. Lenzlinger PM, Hans VH, Joller‐Jemelka HI, Trentz O, Morganti‐Kossmann MC, Kossmann T. Markers for cell‐mediated immune response are elevated in cerebrospinal fluid and serum after severe traumatic brain injury in humans. J Neurotrauma. 2001;18:479‐489. [DOI] [PubMed] [Google Scholar]
  • 23. Komohara Y, Horlad H, Ohnishi K, et al. M2 macrophage/microglial cells induce activation of Stat3 in primary central nervous system lymphoma. J Clin Exp Hematop. 2011;51:93‐99. [DOI] [PubMed] [Google Scholar]
  • 24. Conrady CD, Drevets DA, Carr DJ. Herpes simplex type I (HSV‐1) infection of the nervous system: is an immune response a good thing? J Neuroimmunol. 2010;220:1‐9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Lokensgard JR, Cheeran MC, Hu S, Gekker G, Peterson PK. Glial cell responses to herpesvirus infections: role in defense and immunopathogenesis. J Infect Dis. 2002;186(Suppl 2):S171‐S179. [DOI] [PubMed] [Google Scholar]
  • 26. Whitley RJ. Herpes simplex encephalitis: adolescents and adults. Antiviral Res. 2006;71:141‐148. [DOI] [PubMed] [Google Scholar]
  • 27. Eugenin EA, Clements JE, Zink MC, Berman JW. Human immunodeficiency virus infection of human astrocytes disrupts blood‐brain barrier integrity by a gap junction‐dependent mechanism. J Neurosci. 2011;31:9456‐9465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Cano OD, Neurauter G, Fuchs D, Shearer GM, Boasso A. Differential effect of type I and type II interferons on neopterin production and amino acid metabolism in human astrocyte‐derived cells. Neurosci Lett. 2008;438:22‐25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Kuehne LK, Reiber H, Bechter K, Hagberg L, Fuchs D. Cerebrospinal fluid neopterin is brain‐derived and not associated with blood‐CSF barrier dysfunction in non‐inflammatory affective and schizophrenic spectrum disorders. J Psychiatr Res. 2013;47:1417‐1422. [DOI] [PubMed] [Google Scholar]
  • 30. Kitai R, Ishisaka K, Sato K, et al. Primary central nervous system lymphoma secretes monocyte chemoattractant protein 1. Med Mol Morphol. 2007;40:18‐22. [DOI] [PubMed] [Google Scholar]
  • 31. Huber C, Batchelor JR, Fuchs D, et al. Immune response‐associated production of neopterin. Release from macrophages primarily under control of interferon‐gamma. J Exp Med. 1984;160:310‐316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Hofmann B, Bass H, Nishanian P, et al. Different lymphoid cell populations produce varied levels of neopterin, beta 2‐microglobulin and soluble IL‐2 receptor when stimulated with IL‐2, interferon‐gamma or tumour necrosis factor‐alpha. Clin Exp Immunol. 1992;88:548‐554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Gross SS, Levi R. Tetrahydrobiopterin synthesis. An absolute requirement for cytokine‐induced nitric oxide generation by vascular smooth muscle. J Biol Chem. 1992;267:25722‐25729. [PubMed] [Google Scholar]
  • 34. Roy S, Josephson SA, Fridlyand J, et al. Protein biomarker identification in the CSF of patients with CNS lymphoma. J Clin Oncol. 2008;26:96‐105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Baraniskin A, Kuhnhenn J, Schlegel U, et al. Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B‐cell lymphoma of the central nervous system. Blood. 2011;117:3140‐3146. [DOI] [PubMed] [Google Scholar]
  • 36. Rubenstein JL, Wong VS, Kadoch C, et al. CXCL13 plus interleukin 10 is highly specific for the diagnosis of CNS lymphoma. Blood. 2013;121:4740‐4748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Ghisoni K, Martins Rde P, Barbeito L, Latini A. Neopterin as a potential cytoprotective brain molecule. J Psychiatr Res. 2015;71:134‐139. [DOI] [PubMed] [Google Scholar]
  • 38. Bociaga‐Jasik M, Ciesla A, Kalinowska‐Nowak A, Skwara P, Garlicki A, Mach T. Role of IL‐6 and neopterin in the pathogenesis of herpetic encephalitis. Pharmacol Rep. 2011;63:1203‐1209. [DOI] [PubMed] [Google Scholar]
  • 39. Ma JH, Kim HS, Rim NJ, Kim SH, Cho KG. Differentiation among glioblastoma multiforme, solitary metastatic tumor, and lymphoma using whole‐tumor histogram analysis of the normalized cerebral blood volume in enhancing and perienhancing lesions. AJNR Am J Neuroradiol. 2010;31:1699‐1706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Abe T, Mizobuchi Y, Sako W, et al. Clinical significance of discrepancy between arterial spin labeling images and contrast‐enhanced images in the diagnosis of brain tumors. Magn Reson Med Sci. 2015;14:313‐319. [DOI] [PubMed] [Google Scholar]
  • 41. Herrlinger U, Kuker W, Uhl M, et al. NOA‐03 trial of high‐dose methotrexate in primary central nervous system lymphoma: final report. Ann Neurol. 2005;57:843‐847. [DOI] [PubMed] [Google Scholar]
  • 42. Illerhaus G, Marks R, Ihorst G, et al. High‐dose chemotherapy with autologous stem‐cell transplantation and hyperfractionated radiotherapy as first‐line treatment of primary CNS lymphoma. J Clin Oncol. 2006;24:3865‐3870. [DOI] [PubMed] [Google Scholar]
  • 43. Kasenda B, Schorb E, Fritsch K, Finke J, Illerhaus G. Prognosis after high‐dose chemotherapy followed by autologous stem‐cell transplantation as first‐line treatment in primary CNS lymphoma–a long‐term follow‐up study. Ann Oncol. 2012;23:2670‐2675. [DOI] [PubMed] [Google Scholar]
  • 44. Chamberlain MC, Johnston SK. High‐dose methotrexate and rituximab with deferred radiotherapy for newly diagnosed primary B‐cell CNS lymphoma. Neuro Oncol. 2010;12:736‐744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Wieduwilt MJ, Valles F, Issa S, et al. Immunochemotherapy with intensive consolidation for primary CNS lymphoma: a pilot study and prognostic assessment by diffusion‐weighted MRI. Clin Cancer Res. 2012;18:1146‐1155. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cancer Medicine are provided here courtesy of Wiley

RESOURCES