OL Oncology Letters 1792-1074 1792-1082 D.A. Spandidos 10.3892/ol.2016.5314 OL-0-0-5314 Articles Detection value of tumor cells in cerebrospinal fluid in the diagnosis of meningeal metastasis from lung cancer by immuno-FISH technology LvYuan * MuNing * MaChunhua JiangRong WuQiaoli LiJinduo WangBin SunLiwei Department of Intervention, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin 300350, P.R. China Correspondence to: Dr Rong Jiang, Department of Intervention, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, 6 Jizhao Road, Tianjin 300350, P.R. China, E-mail: jiangrong1999@126.com

Contributed equally

 12 2016 25 10 2016 12 6 5080 5084 31052015 29092016 Copyright: © Lv et al. 2016 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

To investigate the detection value of tumor cells in cerebrospinal fluid (CSF) in the adjuvant diagnosis of meningeal metastasis from lung cancer by immunofluorescence in situ hybridization (immuno-FISH) technology. The circulating tumor cells (CTCs) in the CSF of 16 patients with meningeal metastasis from lung cancer and 8 with non-tumor diseases in the brain were detected using immuno-FISH technology. The diagnosis of meningeal metastasis from lung cancer was based on neurological symptoms, enhanced magnetic resonance imaging (MRI) scans and CSF cytological examination. The number of CTCs in the patients with meningeal metastasis from lung cancer was significantly higher than those with non-tumor diseases in the brain (P<0.01). The critical point of the maximum correct diagnostic index (Youden index) was regarded as the judging criterion for positive tumor cells in CSF according to the receiver operating characteristic curve. When there was one tumor cell in 7.5 ml CSF, the area under curve was 0.875 (95% confidence interval, 0.705~1.000). The diagnostic sensitivity, specificity, effectiveness, positive and negative predictive values were 75.0, 100.0, 83.3, 100.0 and 66.7%, respectively. There may be great clinical value in the detection of CTCs in CSF for the diagnosis of meningeal metastasis from lung cancer by immuno-FISH technology.

 circulating tumor cells lung cancer meningeal metastasis diagnosis immunofluorescence in situ hybridization Introduction

Meningeal metastasis is a metastatic carcinoma of the central nervous system caused by diffuse dissemination or focal infiltration of malignant tumor cells in meninges and spinal subarachnoid space, secondary to leukemia, lymphoma, lung cancer and breast cancer (1). The disease is characterized by rapid progression and poor prognosis (2). The median survival time of patients with meningeal metastasis, who did not undergo treatment, was only 4–6 weeks (2). Therefore, to seek a sensitive method in the detection of potential meningeal metastasis is extremely necessary. Previous studies have identified that blood circulating tumor cells (CTCs), namely solid tumor cells falling into the blood, have a high correlation with tumor diagnosis (3), metastasis and prognosis (4,5). In the present study, CTCs in the cerebrospinal fluid (CSF) of patients with meningeal metastasis from lung cancer were detected using immunofluorescence in situ hybridization (immuno-FISH) technology and the detection value of the CTCs were evaluated in the adjuvant diagnosis of meningeal metastasis from lung cancer. The judging criterion for CTCs in the optimal CSF was selected to improve the early diagnostic rate of meningeal metastasis from lung cancer.

 Materials and methods <sec> <title>General patient data

Patients in the present study were enrolled at Tianjin Huanhu Hospital (Tianjin, China). The inclusion criteria was as follows: i) Patients with non-small cell lung cancer definitely diagnosed by histology or cytology; ii) patients diagnosed with meningeal metastasis*; iii) no intracranial metastatic lesions with a diameter >1 cm determined via magnetic resonance imaging (MRI); iv) no history of encephalitis and craniocerebral trauma within 6 months, and no brain surgery or radiotherapy; v) controllable intracranial hypertension following treatment with dehydrated drugs; vi) tolerable to lumber puncture in the collection of CSF; vii) exclusion of patients complicated by cerebrospinal lesions, including intracranial meningioma, ependymoma and spinal meningioma; and viii) providing informed consent. According to the aforementioned inclusion criteria, a total of 16 patients were enrolled, in which there were 2 males and 14 females with a median age of 62 years (range, 46–76 years). They all pertained to lung adenocarcinoma, and 5 cases were complicated by brain parenchyma metastasis. *Diagnostic criteria for meningeal metastasis: i) Specific tumor history; ii) presence of newly-onset nervous system symptoms and signs; iii) typical enhanced MRI manifestations in the brain; and iv) identification of tumor cells in CSF by cytological examination. The diagnosis could be made if the patient had the former two and the third or the fourth items (6).

The inclusion criteria for the patients with non-tumor diseases in the brain was as follows: i) Patients with non-tumor diseases in the brain, who were admitted to hospital at the same time as those in the experimental group; ii) Patients who required treatment with extra ventricular drainage, a ventriculoperitoneal shunt, lumbar cistern drainage and lumber puncture for CSF examination during hospitalization; iii) providing informed consent. The study was approved by the Ethics Committee of Tianjin Huanhu Hospital (Tianjin, China). According to the above inclusion criteria, a total of 8 patients were enrolled, in which there were 6 males and 2 females with the median age of 40 (35~60 years old). They were all admitted into hospital due to communicating hydrocephalus.

 Immuno-FISH

CSF (7.5 ml) was collected from the patients with meningeal metastasis via lumber puncture and stored in the specialized tube for immuno-FISH detection at room temperature. CSF (7.5 ml) was also collected from the patients with non-tumor diseases in the brain through an external ventricular drainage tube and preserved in a specialized tube for immuno-FISH detection at room temperature. The tumor cells were detected within 72 h through immuno-FISH technology. The detection steps were as follows: i) A negative screening method with immunomagnetic beads was used to enrich the cells: Immunomagnetic beads coated with anti-cluster of differentiation (CD)45 antibody (part of the Human Circulating Rare Cell Subtraction Enrichment kit; Cytelligen, Inc., San Diego, CA, USA) were adopted to remove CD45-positive white cells, and 7.5 ml CSF was added to 100 µl cell suspension. ii) Using cell fixative (20% acetic acid in methanol mixed solution) 100 µl of cell suspension was fixed on the slide. Subsequently, centromeric probe 8 (CEP8) was used to detect certain factors for tumor marker-iFISH, including the numbers of chromosome 8, and the expression of PAN-cytokeratin (CK) (which is present in cells derived from the epithelium) and CD45 (which demonstrates that cells are non-leukocytes. The cells were stained with DAPI as they were karyocytes. Cell count was performed using an Olympus-BX53 fluorescence microscope (Olympus Corporation, Tokyo, Japan) and repeated 5 times. The mean was used as the final value.

 Judging criteria for CTCs

DAPI staining was observed under the blue channel using a fluorescence microscope, and blue fluorescence represented karyocytes. CEP8 FISH signals were observed under the orange channel, and the number of orange light spots reflected chromosome 8 number. The majority of chromosome 8 copies in the CTCs were polyploidy, identified by positive CEP8. Chromosome 8 in hematogenous white cells was diploid, identified by negative CEP8. Expression of PAN-CK and CD45 were observed under the green and red channels, respectively, and both green and red fluorescences were identified as being positive. The tumor cells from non-hematogenous epithelial cells were also detected under various channels. CTCs were evaluated according to whether chromosome 8 originated from diploid nucleate, non-hematogenous cells, namely DAPI+, CD45− and PAN-CK+ or PAN-CK− and CEP8−.

The judging criteria for CTCs included the following: i) DAPI+, CD45− and PAN-CK+ or PAN-CK− and CEP8+ or CEP8−; and ii) DAPI+, CD45− and PAN-CK+ or PAN-CK− and CEP8+. The cells pertained to white cells when DAPI+, CD45+, PAN-CK− and CEP8− were all present (Fig. 1).

 Statistical analysis

SPSS v17.0 (SPSS, Inc., Chicago, IL, USA) was used for data analysis. Measurement data were compared using the rank-sum test and were expressed as the mean ± standard deviation (x±s). According to receiver operating characteristic (ROC) curves, the diagnostic sensitivity, specificity, effectiveness, and positive and negative predictive values were calculated. P<0.05 was considered to indicate a statistically significant difference.

 Results <sec> <title>Detection results of CTCs based on different judging criteria

According to criterion 1, CTCs were identified in 12/16 CSF samples from patients with meningeal metastasis and in 2/8 CSF samples from the patients with non-tumor diseases in the brain. According to criterion 2, CTCs were detected in 12/16 CSF samples from the patients with meningeal metastasis, while no CTCs were identified in the 8 CSF samples from patients with non-tumor diseases in the brain. Based on the aforementioned criteria, the number of tumor cells in the CSF of patients with meningeal metastasis was significantly higher than those with non-tumor diseases in the brain (P=0.009; P=0.002) (Table I). The number of tumor cells in the patients with meningeal metastasis and non-tumor diseases in the brain based on criterion 1 was more than that on criterion 2, but was not statistically significant (P=0.531; P=0.062) (Table I).

 Diagnostic critical values of CTCs based on different judging criteria

At present, there are no unified evaluation standards or diagnostic critical values regarding the detection of tumor cells in CSF for the diagnosis of meningeal metastasis from lung cancer. According to the aforementioned criteria, the AUCs and critical points of tumor cell detection indexes in the CSF samples were confirmed based on the ROC curves, and the results indicated that the AUC based on criterion 1 was less than that of criterion 2 (Table II; Fig. 2).

The critical point of the maximum correct diagnostic index (Youden index) was regarded as the positive judgement value in the ROC curves. When criterion 1 was used for judging CTCs in the diagnosis of meningeal metastasis, the maximum Youden index was 0.688, and the diagnostic critical value of CTCs, sensitivity and specificity were 3 tumor cells/7.5 ml CSF, 68.8 and 100.0%, respectively. When criterion 2 was adopted to judge CTCs in the diagnosis of meningeal metastasis, the maximum Youden index was 0.750, and diagnostic critical value of CTCs, sensitivity and specificity were 1 tumor cell/7.5 ml CSF, 75.0 and 100.0%, respectively (Table III).

 Sensitivity, specificity, effectiveness, and positive and negative predictive values of CTCs in CSF in the diagnosis of meningeal metastasis

The specificity, effectiveness, and positive and negative predictive values of CTCs in CSF in the diagnosis of meningeal metastasis based on criterion 2 were all higher than criterion 1, while sensitivity was the same (Table IV).

 Discussion

Meningeal metastasis from lung cancer is characterized by rapid progression of the pathological condition and poor prognosis (2). Early diagnosis and treatment may effectively alleviate neurological impairment due to progression (2). At present, the following criteria are primarily adopted to diagnose meningeal metastasis: i) Definite history of tumors; ii) presence of newly-onset nervous system symptoms and signs; iii) typical manifestations of enhanced MRI; and iv) presence of tumor cells via CSF cytology (7). Diagnosis may be made immediately when the former two and the third or fourth items are present. Nevertheless, typical symptoms and signs associated with the central nervous system do not manifest in >90% of patients with meningeal metastatic carcinoma (6). Due to the different invasive sites of tumor cells, the clinical manifestations of meningeal metastatic carcinoma are complicated, varied and short of specificity, which makes identification difficult when symptoms caused by brain parenchyma and spinal cord metastases are present, in addition to adverse reactions to treatment for primary tumors. The positive rate of CSF cytology examination was only 55% through CSF cytology, and a second examination found a rate of 80%; however, performing a third examination did not increased the positive rate any further (8). The specificity of enhanced brain MRI is close to 100%, however, a 65% false-negative rate and 10% false-positive rate still exists (9). Therefore, the aforementioned diagnostic methods cannot meet the demand of clinicians in the diagnosis and efficacy evaluation of meningeal metastatic carcinoma. It is thus necessary to identify a detection method with higher sensitivity and specificity. Immuno-FISH detection is able to effectively identify various non-hematogenous epithelial tumor cells in biological fluids by enrichment and analysis techniques. Previous studies have demonstrated that detection of CTCs in CSF samples of patients with meningeal metastasis from lung cancer had higher sensitivity compared to cytology examination (10,11). Therefore, in the present study, immuno-FISH technology was used to detect CTCs in patients with meningeal metastasis and non-tumor diseases in the brain, and its value was investigated in the adjuvant diagnosis of meningeal metastasis from lung cancer.

Clinically, an ideal detection method should possess 100% specificity and sensitivity, and reliable predictive value; however, it is challenging to apply these methods in clinical settings due to the complicated processes of tumorigenesis, progression and prognosis. Selection of the indexes with higher sensitivity and specificity must respectively lead to increase of false-positive and -negative rates. Positive predictive value refers to the proportion of really-positive patients in the total number of positive cases detected by screening tests. Positive predictive value may reflect the possibility that patients may develop the disease, based on screening results. Negative predictive value refers to the proportion of really-negative population in the total number of negative cases detected by screening tests. The predictive value of diagnostic trials is impacted by sensitivity, specificity and morbidity among the subjects. ROC curves are able to control the false-positive and -negative rates under a small range if it is used to confirm the critical value of diagnostic trials. In the present study, the critical point of the maximum correct diagnostic index (Youden index) was regarded as the judging criterion for positive tumor cells in CSF, and sensitivity and specificity were taken into account to the greatest extent (12). AUC has been widely recognized as a fixed accuracy index that is able to correctly evaluate the diagnostic trials. The AUCs of completely valueless and ideal diagnostic trials are 0.5 and 1, respectively (13). Nevertheless, it is generally considered that the diagnostic value is lower, moderate and higher if the AUC of this diagnostic trial is 0.5–0.7, 0.7–0.9 and >0.9, respectively (13).

In the current study, the difference between criterion 1 and 2 was whether non-hematogenous cells with negative chromosome 8 copies were determined as CTCs. The number of tumor cells in the patients with meningeal metastasis and non-tumor diseases in the brain based on criterion 1 was more than that of criterion 2, but was not statistically significant (P>0.05). In the diagnosis of meningeal metastasis, each index of tumor cells in CSF based on criterion 2 was superior to criterion 1. The sensitivities of the CTCs were 75% in the diagnosis of meningeal metastasis according to two detection criteria, but based on criterion 2, the diagnostic specificity, effectiveness, and positive and negative predictive values of the CTCs in CSF were higher in the diagnosis of meningeal metastasis from lung cancer. Therefore, it is recommended to use criterion 2 (DAPI+, CD45− and PAN-CK+ or PAN-CK− and CEP8+) to evaluate CTCs in CSF. Additionally, non-hematogenous cells with negative chromosome 8 may be deciduous meningocytes or epidermal cells, arising as a result particular clinical operations, including lumber puncture and extra ventricular drainage, that enter into the CSF samples and consequently lead to an increase in the diagnostic false-positive rate. However, whether removal of these types of cells is able to increase the false-negative rate due to a small sample size, as in the present study, remains to be elucidated.

In conclusion, when criterion 2 was adopted by the current study to judge CTCs in the diagnosis of meningeal metastasis, the AUC, 95% CI, P-value and maximum of Youden index were 0.875, 0.705–1.000, 0.003 and 0.750, respectively. The diagnostic critical value of CTCs was 1 tumor cell/7.5 ml CSF. Namely, when one CTC was identified in 7.5 ml CSF from patients with meningeal metastasis, the sensitivity, specificity, effectiveness, and positive and negative predictive values of diagnosing meningeal metastasis were 75.0, 100.0, 83.3, 100.0 and 66.7%, respectively. Therefore, detection of tumor cells in CSF has better clinical value in the diagnosis of meningeal metastasis from lung cancer via immuno-FISH technology. As a small sample size was used in the current study, further clinical experiments are required to verify whether multiple detections of one sample is able to increase the diagnostic sensitivity. Further study is of great importance for the detection of CTCs in CSF in the evaluation of efficacy and prognosis.

 Acknowledgements

The present study received funding from the Tianjin Municipal Health Bureau, which supports science and technology projects (no. 2014kz042).

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Image of enriched cells under a fluorescence microscope (magnification, ×400). Circulating tumor cells: Positive DAPI staining, blue fluorescence; highly expressed PAN-CK, green fluorescence; CEP8, polyploidy; and CD45, no expression. White cells: Positive DAPI staining, blue fluorescence; PAN-CK, no expression; CEP8, diploid; and CD45, red fluorescence. CK, cytokeratin; CD, cluster of differentiation.

Receiver operating characteristic curves of circulating tumor cells in the diagnosis of meningeal metastasis by immunofluorescence in situ hybridization technology.

Detection results of circulating tumor cells based on different judging criteria (x±s) (number of tumor cells/7.5 ml cerebrospinal fluid).

Judging criteria Patients with meningeal metastasis Patients with non-tumor diseases in the brain Z P-value
Criterion 1 277.81±523.21 0.88±1.25 −2.612 0.009
Criterion 2 243.25±489.67 0.00 −3.142 0.002
Z −0.267 −1.852 – –
P   0.531 0.062 – –

AUC, standard deviation, P-value and 95% CI of circulating tumor cells in the diagnosis of meningeal metastasis by immunofluorescence in situ hybridization.

Judging criteria AUC Standard deviation P-value 95% CI
Criterion 1 0.824 0.085 0.011 0.657–0.991
Criterion 2 0.875 0.072 0.003 0.705–1.000

AUC, area under the curve; CI, confidence interval.

Lower co-ordinate points of ROC curves corresponding to CTCs based on two judging criteria.

Variables Diagnostic points Sensitivity 1-specificity Youden indexa
CTCs based 1 0.750 0.625 0.375
on criterion 1 2 0.750 0.125 0.625
3 0.688 0.000 0.688
32 0.500 0.000 0.500
197 0.250 0.000 0.250
1,824 0.000 0.000 0.000
CTCs based 1 0.750 0.000 0.750
on criterion 2 6 0.625 0.000 0.625
12 0.500 0.000 0.500
150 0.250 0.000 0.250
1,639 0.000 0.000 0.000a

Youden index, sensitivity + specificity-1. CTCs, circulating tumor cells.

Relevant indexes of circulating tumor cells in cerebrospinal fluid in the diagnosis of meningeal metastasis (%).

Judging criteria Sensitivity Specificity Effectiveness Positive predictive value Negative predictive value
Criterion 1 75.0   75.0 75.0   85.7 60.0
Criterion 2 75.0 100.0 83.3 100.0 66.7