Introduction

Diffuse spinal cord astrocytoma (WHO grade II–IV) is one of the most common types of intramedullary spinal cord malignant tumors [1,2,3,4,5,6,7]. Despite this, they are relatively rare compared to their intracranial counterparts [5, 6]. Besides, only a small amount of tissue could be available during the procedure of spinal cord surgery. Due to these reasons, current knowledge of diffuse spinal cord astrocytoma comes from only a handful of studies with a limited number of cases [7,8,9]. The classification of spinal cord astrocytoma is also largely referring to the standard of their intracranial counterparts [10]. However, it has been reported that the clinicopathological features were distinct between the spinal cord and brain tumors, and the prognosis of diffuse spinal cord astrocytoma is also largely varied within the same classification [1, 6, 7, 11,12,13]. In general, it is difficult to accurately stratify the prognosis of spinal cord astrocytoma based on the current classification system.

Accurate prediction of spinal cord glioma prognosis is critical for postoperative management and treatment. Currently, the common treatment for spinal cord gliomas is maximal safe surgical resection, and adjuvant chemotherapy and radiation therapy (RT) are also used for recurrent or progressive residual tumors [13,14,15]. However, an aggressive and combined modality treatment approach may be adopted for a very poor prognosis patient, while avoidance of long-term nerve injury should be considered for patients with a relatively favorable prognosis [7, 16]. Therefore, it is urgent to develop a model to accurately predict the survival of patients with diffuse spinal cord astrocytoma.

Although our current knowledge is incomplete for prognosis factors of spinal cord gliomas, some clinicopathological features had been reported to be associated with the prognosis of the spinal cord [4,5,6,7, 12]. Histologic grade, WHO grade, preoperative neurological status, surgical extent, and Ki-67 index had been reported as prognostic factors in previous studies [3, 5, 14, 15, 17, 18]. However, these findings still should be verified in a relatively large cohort. In our recent study, we confirmed the prognostic value of both histologic grade and WHO grade in spinal cord astrocytoma, and we also revealed that TERT promoter mutation and H3 K27M mutation had prognostic value in WHO grade II/III and WHO grade IV tumors, respectively [1].

Currently, immunity and inflammatory response are critical for tumor initiation and progression [19,20,21]. Some preoperative peripheral blood inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), also have prognostic value in brain glioma [22,23,24]. It has been indicated that the immune microenvironment is different between brain and spinal cord gliomas [25]. Thus, in addition to the traditional clinicopathological factors, it is necessary to clarify whether peripheral blood markers also have prognostic value in spinal cord gliomas.

Here, we systemically analyzed the prognostic factors, including peripheral blood inflammatory markers, in 89 cases of spinal cord astrocytoma. We aimed to (1) investigate the prognostic value of peripheral blood markers in spinal cord gliomas; (2) construct a comprehensive prognostic model with clinicopathological features and peripheral blood markers of spinal cord astrocytoma.

Materials and methods

Samples collection

In a previous study, we have systemically compared the molecular features of 83 diffuse spinal cord gliomas with or without H3 K27M mutation [1]. In this study, another 6 cases whose prognostic information was obtained recently were also included to develop a comprehensive prognostic model for patients with diffuse spinal cord gliomas.

Clinical and pathological features of samples

The surgery resection extent was estimated using post-surgery magnetic resonance images (MRI). Based on the MRI results, the surgery resection extent was defined as gross total resection (≥ 90%), subtotal resection (≥ 50% and < 90%), and open biopsy (< 50%) [1, 26]. The surgery resection extent was independently determined by two experienced radiologists, who were blinded to the clinical data of the patients. In case of a discrepancy, the two observers simultaneously reviewed the images to achieve a consensus. The MMS was calculated according to the standard previously reported [27].

The histological pathological and molecular features were obtained as previously reported [1]. The histopathological grade was determined by the routine evaluation of FFPE samples with hematoxylin and eosin (H&E) staining based on 2016 WHO classification. The H3 K27M-mutant status (ABE419; Millipore, Billerica, MA, USA; 1:800) and Ki-67 expression status (MIB-1; Labvision, Fremont, CA, USA; 1:50) were determined by immunohistochemistry. The TERT promoter C228T and C250T mutations were determined by the pyrosequencing after PCR amplification.

In addition to the clinical and pathological characteristics, we also collected the preoperative peripheral blood cell data of these patients from the electronic medical record system, including the leukocyte count, the proportion of five leukocyte subtypes (neutrophil, lymphocyte, monocyte, eosinophil, and basophil). We also calculated the NLR, PLR, and MLR for each patient. These patients did not catch acute conditions like bacterial or viral infections or drug treatments that might affect the human body's immune system.

The demographic and clinical characteristics of all cases used in this study were summarized in Table 1. All the patient's consent has been obtained during their hospitalization. The procedure of this study has been approved by the Institutional Review Board and Ethics Committee of Beijing Tiantan Hospital (Beijing, China).

Table 1 Clinical characteristics of patients in this study

Statistical analysis

One-way ANOVA and unpaired t-test were used to compare the distribution of markers in different groups. Overall survival (OS) was defined as the time interval from diagnosis to death. Univariate and multivariate Cox regression analyses were used to study the influence of different factors on OS. The optimal cut-off values of NLR, PLR, MLR, and other prognostic factors were computed by X-tile software [28]. The Kaplan–Meier method with log-rank testing was used to compare the OS of cases in different groups. P-value < 0.05 was defined as significant. All of the statistics were performed by GraphPad Prism version 7.0 statistical software (GraphPad Software, La Jolla, CA, USA) or IBM SPSS Statistics 22 (IBM, Armonk, NY, USA).

Results

Clinical characteristics of patients

A total of 89 patients with diffuse spinal cord astrocytoma were included in this study, including 54 male patients (60.70%) and 35 female patients (39.30). The detailed information on the clinicopathological features and preoperative peripheral makers of all patients were summarized in Table 1. The age of all patients ranged from 6 to 63, with a median and an average age of 31 and 32.37, respectively. The preoperative McCormick score (MMS) of all patients were distributed as follows: 3 patients (3.40%) with MMS = 1; 36 patients (40.40%) with MMS = 2; 34 patients (38.20%) with MMS = 3, and 16 patients (18.00%) with MMS = 4. In 46 patients (51, 70%), tumor resection was more than 90%, in 14 patients (15.70%), tumor resection was between 50 and 90%, and in 29 patients (32.60), tumor resection was less than 50%. According to our follow-up information, 57 patients received postoperative radiotherapy and 25 patients received chemotherapy.

For the pathological characteristics, there were 56 histological grade II tumors (62.90%), 20 histological grade III tumors (22.47%), and 13 histological grade IV patients (14.60%). Among these patients, 36 patients (40.40%) with H3 K27M mutation, and 46 patients (51.70%) showed Ki-67-positive nuclei ≥ 10%. There were 13 cases with TERT promoter mutation in 58 cases had TERT promoter-mutant information. Based on the World Health Organization (WHO) 2016 classification of tumors of the central nervous system, there were 38 WHO grade II tumors (42.70%), 9 grade III tumors (10.10%), and 42 grade IV tumors (47.20%) which included 30 histological grade II/III tumors with H3 K27M mutation.

We also collected the information on preoperative peripheral makers of 88 cases. The mean ± SD value for leukocyte was 6.922 ± 2.494, and the average proportions for neutrophil, lymphocyte, monocyte, eosinophil, and basophil were 60.65%, 31.19%, 6.12%, 1.69%, and 0.37%, respectively. The mean values of NLR, PLR, and MLR were 2.72, 137.84, and 0.22, respectively.

Preoperative peripheral blood inflammatory markers could serve as prognostic indicators in all diffuse spinal cord astrocytoma

Initially, we systemically analyzed the prognostic value of each factor in all diffuse astrocytic tumors. In addition to clinicopathological factors, such as age (P = 0.08, the hazard ratio (HR = 1.029), MMS (P < 0.0001, HR = 1.73), surgery resection extent (P = 0.005, HR = 0.377), WHO grade (P < 0.0001, HR = 3.062), and Ki-67 (P < 0.0001, HR = 0.173), the preoperative peripheral blood inflammatory markers included leukocyte count (P = 0.023, HR = 1.135), neutrophils-to-lymphocytes ratio (NLR, P < 0.0001, HR = 1.237), and platelet-to-lymphocyte ratio (PLR, P < 0.0001, HR = 1.007) were also significantly correlated with the overall survival (OS) of all spinal cord astrocytoma in the univariate Cox analysis (Table 2).

Table 2 Univariate and Multivariate Cox analysis in all diffused spinal cord gliomas (WHO grade II-IV)

Then, we studied the OS-stratifying abilities of these preoperative peripheral blood inflammatory markers by Kaplan–Meier curves (Fig. 1a–c). The results indicated that the OS of patients could be significantly stratified by leukocyte counts (Fig. 1a, P < 0.0001), NLR (Fig. 21B P = 0.0006), and PLR (Fig. 1c, P = 0.0123).

Fig. 1
figure 1

The prognostic value and their distribution of preoperative peripheral blood inflammatory markers in diffuse spinal cord astrocytoma. ac Kaplan–Meier survival curves for patients stratified by leukocyte count (a), NLR (b), and PLR (c). d–f The values of leukocyte count (d), NLR (e), and PLR (f) were compared among cases with different WHO grades

Fig. 2
figure 2

The comprehensive prognostic classification model and it’s prognostic value. a The diagrammatic graphic of the comprehensive prognostic classification model. b Kaplan–Meier survival curves for patients stratified by the comprehensive prognostic classification model. c–e ROC curves showed the predictive efficiencies of the comprehensive prognostic classification model, WHO grade, and histological grade on 1-year (c), 2-year (d), and 3-year (e) survival

We also compared the values of leukocyte count, NLR, and PLR in cases with different WHO grades. The results indicated that there was no significant difference for these factors among cases with different WHO grades (Fig. 1d–f). To further study the prognostic independence of these preoperative peripheral blood inflammatory markers, we performed multivariate Cox regression with all significant factors in univariate Cox analysis. The results indicated that MMS (P = 0.018, HR = 1.783), WHO grade (P = 0.006, HR = 1.993), Ki-67 index (P = 0.038, HR = 0.421), and NLR (P = 0.005, HR = 1.170) were still significantly correlated with OS of all diffuse spinal cord gliomas in multivariate Cox analysis, independent of age, surgery resection extent, leukocyte, and PLR (Table 2).

Prognostic value of NLR and other clinicopathological features in non-WHO grade IV (WHO grade II/III) and WHO grade IV spinal cord gliomas

Based on the integrated diagnosis of 2016 WHO classification, H3 K27M-mutant histological grade II/III spinal cord astrocytoma is also classified as WHO grade IV. The non-WHO grade IV (WHO grade II/III) tumors, which have similar molecular features, are commonly studied together as lower-grade gliomas [1, 9, 10, 29]. In addition to MMS, WHO grade, Ki-67 index, and NLR identified above, surgery resection extent and TERT promoter mutation are also potential prognostic factors in non-WHO grade IV tumors, while H3 K27M-mutant status and histological grade are also potential prognostic factor in WHO grade IV tumors [1]. We also separately studied the prognostic factors in non-WHO grade IV and WHO grade IV tumors, respectively.

The result indicated that surgery resection extent, Ki-67 index, and TERT promoter mutation, rather than WHO grade, MMS, and NLR were significantly correlated with OS of patients with non-WHO grade IV tumors in univariate Cox analysis (Table 3 and Supplementary Fig. 1a, b). All of these three factors were still significantly correlated with OS in multivariate Cox analysis (Table 3). We also used these prognostic factors to further classify non-WHO grade IV spinal cord astrocytoma, and the result indicated that the classification model with Ki-67 index and resection extent (cutoff ≥ 90%) could better stratify the non-WHO grade IV tumors (Supplementary Fig. 1 c and d).

Table 3 Univariate and Multivariate Cox analysis in lower grade spinal cord gliomas (WHO grade II-III)

In WHO grade IV tumors, except for Ki-67, all other factors, including MMS, H3 K27M-mutant status, histological grade, and NLR, rather than Ki-67 significantly correlated to OS of patients in univariate Cox analysis (Table 4 and Supplementary Fig. 2a–e). In addition, MMS and NLR were significantly associated with OS in multivariate Cox analysis (Table 4). The WHO grade IV tumors could also be better stratified by a classification model derived from NRL and MMS (Supplementary Fig. 2f). We also observed the distribution of MMS, H3 K27M-mutant status, histological grade, NLR, and Ki-67 in WHO grade IV spinal cord astrocytoma (Supplementary Fig. 3). The result indicated that more than 50% of histological grade IV cases with MMS = 4, this may be the reason why H3 K27M-mutant status and histological grade became non-significant in multivariate Cox analysis.

Table 4 Univariate and Multivariate Cox analysis in WHO grade IV spinal cord gliomas

Construction of a comprehensive prognostic model including preoperative peripheral blood inflammatory markers for all diffuse spinal cord gliomas

Based on the above finding, we developed a comprehensive classification prognostic model. Firstly, we divided all diffuse spinal cord gliomas into non-WHO grade IV tumors and WHO grade IV tumors. Then, we could further stratify non-WHO grade IV by the surgery resection extent and Ki-67 index, and further stratified WHO grade IV tumors by the MMS and NLR (Fig. 2a). Finally, this model could stratify diffuse spinal cord gliomas into 4 classifications with increasingly poor prognosis: classification 1, WHO grade II/III, with Ki-67 < 10% and resection extent ≥ 90%; classification 2, WHO grade II/III, with Ki-67 ≥ 10% or resection < 90%; classification 3, WHO grade IV, with NLR ≤ 3.65 and MMS ≤ 3; classification 4, WHO grade IV, with NRL > 3.65 or MMS = 4 (Fig. 2a, b). In addition, we observed that this prognostic model had better prognostic efficiency than WHO grade and histological grade for 1-year (AUC = 76.6), 2-year (AUC = 80.9), and 3-year (AUC = 80.3) survival (Fig. 2c–e).

Discussion

Accurate prognosis assessment is critical for the therapy design and clinical management of spinal cord astrocytoma [9, 16]. However, accurate prognostic classification is still unmet medical demand for spinal cord astrocytoma. In this study, we systemically revealed the prognostic values of clinical features, pathological features, and preoperative peripheral blood inflammatory markers in 89 cases of diffuse spinal cord astrocytoma. Based on the identified prognostic factors, we successfully constructed a prognostic model, including WHO grade, surgery resection extent, Ki-67 index, preoperative MMS, and preoperative peripheral blood NLR. This model could stratify spinal cord gliomas into 4 classifications: classification 1, WHO grade II/III, with Ki-67 < 10% and resection extent ≥ 90%; classification 2, WHO grade II/III, with Ki-67 ≥ 10% or resection < 90%; classification 3, WHO grade IV, with NLR ≤ 3.65 and MMS ≤ 3; classification 4, WHO grade IV, with NRL > 3.65 or MMS = 4, and patients had increasing poorer survival from classification 1 to classification 4. This prognostic model had better predictive efficiency than WHO grade and histological grade for 1-year, 2-year, and 3-year survival.

Nowadays, it has been accepted that immunity and inflammation play important roles in the initiation and progression of tumors, such as pancreatic cancer, hepatocellular carcinoma, brain glioma, and other tumors [20, 21, 30, 31]. Systemic inflammation is associated with alterations in peripheral blood leukocytes that can be captured by the NLR [32]. The number of preoperative peripheral blood inflammatory cells, such as neutrophils, lymphocytes, monocytes, and their ratios, have been reported to be associated with the prognosis and immunotherapy response of cancers [22, 23]. In tumors of the central nervous system, a low NLR is associated with a better prognosis of brain gliomas has been demonstrated in several different studies [21, 24, 33]. In addition, NLR combined with other preoperative blood inflammatory markers could be used to differentially diagnose craniopharyngioma, pituitary tumor, and Rathke cleft cyst [19]. Here, our study first revealed that leukocyte count, NLR, and PLR also had prognostic value in diffuse spinal cord astrocytoma. We further demonstrated that NLR was an independent prognostic factor in WHO grade IV spinal cord gliomas, but not in spinal cord gliomas with WHO grade II/III. This may be associated with the different growth features between non-WHO grade IV and WHO grade IV spinal cord astrocytoma, and non-WHO grade IV tumors have fewer infiltrates than WHO grade IV tumors [18]. This finding also suggested that the response of spinal cord astrocytoma to immunotherapy may be also different between WHO grade II/III tumors and WHO grade IV tumors.

Before the 2016 WHO classification of tumors of the central nervous system, it had been accepted that gross total resection was associated with better survival of histological grade II spinal cord astrocytoma [7, 9, 17]. However, the prognostic value of surgery resection extent in high grade (histological III and IV) spinal cord astrocytoma is still confused, and it seems that surgery resection only has prognostic value in anaplastic spinal cord astrocytoma (histological grade III), but not spinal cord glioblastoma (histological grade IV) [3, 15, 18]. Based on the integrated diagnosis of 2016 WHO classification, H3 K27M-mutant histological grade II/III spinal cord astrocytoma is also classified as WHO grade IV [10, 34], and WHO grade II/III tumors with similar molecular features are commonly studied together as lower-grade gliomas. Here, we demonstrated that resection extent ≥ 90% were significantly correlated with longer survival of patients with WHO grade II/III spinal cord gliomas, but not in WHO grade IV tumors. Interestingly, the preoperative MMS was significantly correlated with the survival of patients with WHO grade IV tumors but not patients with WHO grade II/III spinal cord astrocytoma. These findings provided a direct evidence for clinical management the spinal cord astrocytoma after the 2016 WHO classification of tumors of the central nervous system.

Molecular pathological features are also critical for predicting the prognosis of spinal cord astrocytoma. A high Ki-67 index has been reported to be associated with poorer survival of 26 spinal cord astrocytoma [18]. In a recent study, we have demonstrated that TERT promoter has prognostic value in WHO grade II/III spinal cord astrocytoma [1]. Here, we also observed that both Ki-67 ≥ 10% and TERT promoter mutation were associated with poorer survival of WHO grade II/III spinal cord astrocytoma in the univariate Cox regression.

The limitations of this study include its retrospective design, both enrolled patients and their preoperative blood routine examinations were from a single-center, a limited number of patients due to the rarity of spinal cord astrocytoma. In addition, only 13 histological grade IV patients enrolled in our cohort, this may be present a possible bias for the analysis of these patients. Future studies with large-scale cases are warranted to verify our prognostic model.

In summary, our study demonstrated the prognostic value of preoperative peripheral blood inflammatory markers in patients with diffuse spinal cord astrocytoma in a relatively large cohort. We further revealed that Ki-67 < 10% and resection extent ≥ 90% were independently correlated with better survival of patients with WHO grade II/III spinal cord astrocytoma. Meanwhile, NLR ≤ 3.65 and MMS ≤ 3 were independently correlated with better survival of patients with WHO grade IV tumors. Based on this, we constructed a comprehensive prognostic model for diffuse spinal cord astrocytoma, and this prognostic model could provide a more accurate prognostic prediction for patients, which will provide better evidence for the management of patients with spinal cord astrocytoma.