Background
Solitary Fibrous Tumours (SFT) are ubiquitous mesenchymal tumours. Carneiro et al. reported the first cases occurring in the CNS in 1996
1
. They usually arise in the meninges, though a few cases have been described without dural attachment. The histological features encompass a patternless architecture with alternating hypocellular and hypercellular areas. The hypocellular areas typically contain thick bands of collagen, while the hypercellular areas show staghorn vessels leading to a haemangiopericytoma (HPC) pattern. In soft tissues, HPC is thought to be the cellular variant of SFT
2
3
. However, SFT and HPC are still listed as separate entities in the WHO classification of CNS tumours
4
5
though we have reported their overlapping histological and immunohistological features, suggesting a common spectrum
6
. In the CNS, SFT have to be especially distinguished from meningiomas while HPC have to be distinguished from meningeal sarcomas. SFT lack the whorls, psammomas, nuclear-cytoplasmic inclusions and fibrous vessels present in meningiomas. The nuclei are more hyperchromatic. Slit-like vascular spaces are more common in SFT, but sometimes cellular elongation and collagen production may simulate a fibrous meningioma. More rarely, meningeal HPC can be confused with a sarcoma harboring a haemangiopericytoma pattern such as synovial sarcoma or mesenchymatous chondrosarcoma. Synovial sarcomas are characterized by a tumor-specific translocation t(X;18)(p11.2;q11.2) leading to the SS18-SSX fusion gene
7
8
9
. The presence of cartilaginous islands is the obvious distinctive feature of mesenchymal chondrosarcoma. By immunohistochemistry (IHC), SFT lack EMA expression, whereas they are usually diffusely positive for CD34 as are meningeal HPC. Synovial sarcomas and mesenchymal chondrosarcomas do not usually express CD34. On the other hand, meningiomas can only react to a limited extent with CD34 and widely express EMA. Thus, the CD34 positivity of SFT is non-specific and non-constant, calling for the identification of more accurate diagnostic molecular markers.
Using whole-genome oligonucleotide microarray, we recently identified a list of 3,401 genes differentially expressed between SFT/HPC (n = 29) and Soft Tissue Sarcomas (STS) (n = 179), including synovial sarcomas (Bertucci et al., manuscript in preparation). Among them, the ALDH1A1 gene was among the top two genes overexpressed in SFT/HPC with a fold change (FC) between mean expression levels in SFT/HPC versus STS equal to 34. ALDH1 is a cytosolic detoxifying enzyme responsible for the oxidation of intracellular aldehydes. It is also highly expressed in hematopoietic progenitors where it is linked to retinoid metabolism with a role in early differentiation of stem cells. In search of a diagnostic value, we have performed an immunohistochemical study with antibody anti-ALDH1 in 243 meningeal tumours that encompassed: 25 CNS WHO SFT, 55 CNS WHO HPC and 163 meningiomas on Tissue MicroArrays. This was compared to ALDH1 expression of 98 synovial sarcomas and 13 extrameningeal SFT. We tested the hypothesis that ALDH1 expression could help to distinguish meningeal SFT or HPC from meningiomas or synovial sarcomas. We compared its expression at both the mRNA and protein levels using respectively gene expression data and IHC data on Tissue MicroArrays (TMA). We also compared ALDH1 immunohistochemical expression to CD34, the most consistently expressed antigen in SFT and HPC.
Results
ALDH1A1 mRNA is overexpressed in SFT/HPC as compared to synovial sarcomas and meningiomas
Normalised RNA expression level of ALDH1A1 was available for 52 SFT/HPC, 161 meningiomas and 30 synovial sarcomas. As shown in Figure 1. ALDH1A1 expression was significantly higher in SFT/HPC as compared with synovial sarcomas (p = 9.4E-08, t-test) with a mean fold change (FC) equal to 9.5. Similarly, ALDH1A1 expression was significantly higher in SFT/HPC as compared with meningiomas (p = 1.8E-06, t-test) with a mean FC equal to 3.
<p>Figure 1</p>mRNA expression of ALDH1A1 in tumour samples
mRNA expression of ALDH1A1 in tumour samples.ALDH1A1 expression across tumor samples profiled using DNA microarrays. Log2-transformed expression levels in tumors are reported as a box plot according to histological type: SFT, solitary fibrous tumour; HPC, Haemangiopericytoma; M, meningioma; SVS, synovial sarcoma; meningeal SFT and extra-meningeal SFT. Median and ranges are indicated. *** means p < 0.001 (t-test).
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Interestingly, ALDH1A1 mRNA expression was higher in the 20 meningeal tumours than in the 32 extra-meningeal tumours (p = 7.5E-4; t-test). We thus repeated the comparative analysis using only meningeal tumours. Differences between meningeal SFT/HPC and other histological types were even more significant than before (Figure 1); the FC between SFT/HPC and synovial sarcoma increased to 20.2 (p = 1.2E-10, t-test) and between SFT/HPC and meningiomas increased to 6.4 (p = 6.7E-9, t-test).
Thus, at the mRNA level, SFT/HPC, and especially the meningeal locations, showed higher ALDH1A1 expression than synovial sarcomas and meningiomas.
No significant difference was observed between SFT and HPC. By contrast, significant differences were observed between SFT/HPC and synovial sarcomas and meningiomas. We found similar results when analyses were applied to the 12 meningeal tumours only. Results are shown in Additional file 1: Table S2A and 2B.
<p>Additional file 1: Table S2</p>
Comparison of ALDH1A1 mRNA expression (p-values; Mann-Whitney test) between SFT, HPC, meningiomas and synovial sarcomas.
Click here for file
ALDH1 immunostaining
Solitary fibrous tumors and haemangiopericytomas (Table 1)
<p>Table 1</p>
ALDH1 IHC data for SFT (meningeal and extrameningeal) and meningeal HPC
ALDH1 negative
ALDH1 positive
ALDH1 5-10%
ALDH1 11-50
ALDH1 >50%
Meningeal HPC
grade II n = 24
6
18
5
2
11
n = 55
grade III n = 31
2
29
5
7
17
Meningeal SFT
4
21
3
10
8
n = 25
Extrameningeal SFT
2
11
3
4
4
n = 13
84% of meningeal, 84.6% of extrameningeal SFT and 85.4% of HPC were positive with anti-ALDH1 antibody on TMA. Among HPC 75% of grade II and 93.5% of grade III were positive. Most SFT (72%) showed intermediate positivity (10 cases, 40%) or high positivity (8 cases, 32%) while 50.1% of HPC had high positivity (Figure 2a-b). ALDH1 immunostaining data were statistically not different between SFT and HPC though a tendency for having a more diffuse positivity was seen in grade III HPC (p = 0.118).
<p>Figure 2</p>ALDH1 immunohistochemistry on TMA (X10)
ALDH1 immunohistochemistry on TMA (X10). Diffuse expression of ALDH1 in a SFT (a) and meningeal HPC (b). No expression of ALDH1 in a monophasic fusiform cell synovial sarcoma (c) and a transitional Grade I meningioma (d).
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Protein expression by IHC was not statistically higher in meningeal tumours than extra-meningeal tumours, unlike what was observed at the mRNA level (Figure 1) (p = 1 for comparing positive and negative cases and p = 0.501 for semi-quantitative analysis).
Meningiomas and synovial sarcomas (Table 2)
<p>Table 2</p>
ALDH1 and CD34 data for meningeal SFT and HPC, meningiomas and synovialosarcomas
ALDH1+ CD34+
ALDH1+ CD34-
ALDH1- CD34+
ALDH1+ and or CD34+
ALDH1- CD34-
SFT
20
1
3
24
1
n = 25
Grade II HPC
14
4
5
23
1
n = 24
Grade III HPC
20
9
2
31
0
n = 31
meningiomas
0
2
8
10
153
n = 163
Synovialosarcomas
0
7
0
7
91
n = 98
Most meningiomas (98.8%) and synovial sarcomas (92.9%) lack ALDH1 expression by immunohistochemistry (Figure 2c-d). Among meningiomas, only two cases (1.2%) were positive for ALDH1. They were both grade II. One had low positivity, while the other one showed intermediate positivity. These cases were reviewed and showed typical histological features of fibroblastic meningiomas. They both expressed EMA. Seven synovial sarcomas (7.1%) expressed ALDH1 by IHC, with low positivity in 3 cases and high positivity in 4 cases.
CD34 immunostaining
Solitary fibrous tumors and haemangiopericytomas (Table 2)
92% of meningeal SFT and 74.5 of meningeal HPC were positive for CD34.
Meningiomas and synovial sarcomas (Table 2)
Among meningiomas, 5 grade I samples and 3 grade II samples were CD34-positive (4.9%). Six were fibroblastic and 2 were psammomatous. Five had low positivity. Two had intermediate and one had high positivity. These three meningiomas were all fibroblastic and showed EMA positivity. CD34 immunoreactivity was never observed in synovial sarcomas.
Diagnostic value of ALDH1 and CD34 immunostaining (Table 3)
<p>Table 3</p>
Impact value of ALDH1 and CD34 IHC for the diagnosis of meningeal SFT or HPC versus meningioma
SE
CI 95%
SP
IC 95%
PPV
IC 95%
NPV
IC 95%
SE: sensitivity, PPV: positive predictive value.
SP: specificity, NPV: negative positive value.
ALDH1
TFS n = 25
84%
0.63-0.94
98.8%
0.95-0.99
91.3%
0.7-0.98
97.6%
0.93-0.99
HPC = 55
85.4%
0.73-0.93
98.7%
0.95-0.99
95.9%
0.84-0.99
95.2%
0.9-0.97
CD34
TFS n = 25
92%
0.72-0.98
95%
0.9-0.97
74.2%
0.55-0.87
98.7%
0.94-0.99
HPC n = 55
74.5%
0.61-0.85
95%
0.9-0.97
83.7%
0.69-0.92
91.7%
0.86-0.95
ALDH1 and CD34+
TFS n = 20
80%
0.58-0.92
100%
0.97-1
100%
0.79-1
97%
0.93-0.99
HPC n = 34
62%
0.48-0.74
100%
0.97-1
100%
0.87-1
88%
0.83-0.93
We found that ALDH1 and CD34 were expressed in most meningeal SFT and HPC in contrast to meningiomas. As shown in Table 2, most SFT (20 of 25) and HPC (34 of 55) were positive for both markers, while no meningiomas or synovial sarcomas were. 4 additional SFT and 20 HPC were positive for ALDH1 or CD34. Only one case of SFT was negative for both markers. However, at recurrence the tumour showed ALDH1 and CD34 positivity. One additional grade II HPC was negative for the two markers. Both tumours had no SYT rearrangement on FISH analysis. Therefore 24/25 (96%) meningeal SFT and 54/55 (98%) meningeal HPC expressed ALDH1 and or CD34 whereas only 10 /163 (6%) meningiomas and 7/98 (7%) synovial sarcomas did.
No statistically significant difference was seen when comparing sensitivity (SE) and specificity (SP) of each immunohistochemical marker (ALDH1 or CD34), for the diagnosis of SFT versus meningioma (p = 0.617 for SE and p = 0.114 for SP) or HPC versus meningioma (p = 0.264 for SE and p = 0.114 for SP). However, ALDH1 had a tendency for being more sensitive than CD34 in the group of grade III HPC (p = 0.07).
We then tested the diagnostic value of combined ALDH1 and CD34 IHC staining. 94% of meningiomas and 93% of synovial sarcomas were negative for both markers while 80% of SFT and 62% of HPC were positive. We thus found that the double positivity for CD34 and ALDH1 was highly specific for the diagnosis of SFT, with a specificity and positive predictive value of 100%.
Discussion
SFT are newly described tumours in the CNS. Diagnosis is based on histological features according to the WHO classification: such as “a pattern-less architecture characterized by a combination of alternating hypocellular and hypercellular areas separated from each other by thick bands of hyalinized somewhat keloidal collagen and branching haemangiopericytoma-like vessels”
5
. As the main location is the meninges, they have to be distinguished from other meningeal tumours, especially fibroblastic meningiomas. A high cellularity in some SFT and in HPC may also suggest a sarcoma, especially synovial sarcomas because of their “haemangiopericytoma” vascular pattern. We have performed the most extensive FISH study on TMA of meningeal SFT and HPC in search of SYT rearrangement. No rearrangement was found, suggesting that no misdiagnosed synovial sarcomas were included in the series. CD34 antigen is the most consistent immunohistochemical marker of SFT or HPC. However, it lacks specificity being expressed by endothelial cells, hematopoietic progenitor cells, and a lot of solid tumours such as gastrointestinal stromal tumours, vascular tumours, or dermatofibrosarcoma protuberans
10
11
12
13
14
15
16
17
. In addition, CD34 is variably expressed in SFT/HPC with some tumours showing focal or weak positivity or being negative
18
19
20
. Other immunohistochemical markers expressed by SFT such as bcl2, CD99, FXIII are less specific than CD34
21
.
Cytogenetic studies failed to show consistent recurrent abnormalities in SFT or HPC of any location. Very few transcriptomic studies of SFT/HPC are available in the literature
22
23
. We have performed an extensive meningeal SFT/HPC gene profiling study and showed that, at the mRNA level these tumours, and particularly meningeal, had higher ALDH1A1 expression than synovial sarcomas and meningiomas. This was consistent with a previous study by Hajdu et al. who showed high mRNA expression of ALDH1A1 in SFT including meningeal cases but no immunohistochemical study was performed. These results were further extended by IHC in a larger series of samples including 38 SFT (25 meningeal and 13 extra-meningeal), 55 HPC, 163 meningiomas and 98 synovial sarcomas. ALDH1 immunostaining was highly specific for meningeal SFT/HPC diagnosis as only 1.2% of meningiomas and 7.1% of synovial sarcomas were positive. Compared to CD34 staining, ALDH1 sensitivity, specificity, positive and negative predictive values were not statistically significantly different. However sensitivity of ALDH1 immunostaining was slightly better than CD34 (p = 0.07) especially for grade III HPC and could be especially useful in this category of tumours. More interestingly, the combined CD34 and ALDH1 expression by IHC was highly suggestive of the SFT or HPC diagnosis with a specificity and positive predictive value of 100%.
ALDH1A1 belongs to the ALDH enzymes, a family of evolutionarily conserved enzymes comprised of 19 isoforms that are localized in the cytoplasm, mitochondria or nucleus
24
. They are responsible for oxidizing aldehydes to carboxylic acids. ALDH1A1 is one of the 6 ALDH1 isoforms, the others being ALDH1A2, ALDH1A3, ALDH1B1, ALDH1L1, ALDH1L2
24
. It was recently suggested that the different isoforms of ALDH could be tumour-specific with diagnostic implications. ALDH1A1 is predominantly expressed in the epithelium of testis, brain, eye, liver, kidney, neural and hematopoietic stem cells
25
26
. We have shown that ALDH1A1 was overexpressed in SFT and HPC versus potential meningeal mimics. By immunohistochemistry ALDH1 was highly expressed in these tumours, however the antibody we used might not be entirely specific to the isoform ALDH1A1.
ALDH1 plays a major role in the biosynthesis of retinoic acid (RA) from retinol. It is this function that links ALDH1 to the “stemness” characteristics of the Cancer Stem Cells (CSC) since RA is a regulator of cellular proliferation, differentiation, apoptosis and survival. ALDH1 expression has been found in hematopoietic and epithelial cancers. Recently the presence of increased ALDH1 activity in a subpopulation of the human sarcoma cell line was also demonstrated
27
28
. These cells had stem cell properties since they were able to form spheres in anchorage-independent, serum-starved conditions, and showed high expression level of several stem cell genes such as Nanog, Oct3/4, Stat3 and Sox2. It is quite intriguing that the most consistent diagnostic markers for SFT and HPC, CD34 and ALDH1, are stem cell markers. These data could have histogenetic significance. The cell of origin of these tumors is unknown but is thought to be mesenchymal in nature
1
. High ALDH1 and CD34 expression also suggests an immature undifferentiated state.
In addition to its diagnostic interest, high ALDH1 expression in SFT and HPC also has therapeutic implications. It could be responsible in part for the failure of conventional chemotherapy, as has been suggested for other malignancies such as breast cancer
29
30
31
, colon cancer
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or medulloblastoma
33
. Indeed, ALDH1A1 is known to metabolize and detoxify chemotherapeutic agents such as cyclophosphamide
34
and ifosfamide
35
. On the other hand, ALDH1 emerges as a new therapeutic target as specific inhibitors of ALDH such as DEAB (4-diethylaminobenzaldehyde) exist
24
36
.
Recently, two different teams identified recurrent NAB2-STAT6 gene fusions on chromosome 12q13 in Solitary Fibrous Tumours of various locations
37
38
. Robinson et al. identified a NAB2-STAT6 gene fusion in a hepatic metastasis of a malignant meningeal SFT by integrative sequencing. NAB2-STAT6 gene fusion was also found in 27 additional SFT including 3 meningeal tumours
38
. Chmielecki et al. found 7 variants of this fusion transcript in 29/53 SFT (55%)
37
. NAB2-STAT6 gene fusion is the first recurrent molecular feature reported in SFT. Further studies are required to confirm its diagnostic value especially it would be very interesting to compare the sensitivity and specificity of ALDH1 overexpression to NAB2-STAT6 gene fusion. It would also be very interesting to search for NAB2-STAT6 gene fusion in a large cohort of both meningeal SFT and HPC to definitively determine the relationship between these tumours.
Methods
Gene expression data sets of SFTs
To determine ALDH1A1 mRNA expression in SFT/HPC, we first analyzed gene expression data recently generated by our laboratory (IPC, Marseille, France) from frozen tumor samples (APHM Biobank authorization number 2008/70, NeurobiotecBank, Sainte Anne Hospital CRB NSPN authorization number AC-2008-82, La Pitié Salpétrière Biobank) collected from 16 patients who underwent initial surgery and/or diagnostic biopsy. The origin of samples was meningeal in 12 cases (9 HPC and 3 SFT according to the CNS WHO classification) and extra-meningeal in 4 cases (3 conventional Soft tissue SFT and one cellular variant so called “HPC”). All profiled specimens contained more than 70% of cancer cells (as assessed before RNA extraction using frozen sections adjacent to the profiled samples). Each patient gave written informed consent for molecular analysis, and the study was approved by our institutional ethics committee. Expression profiles were established for these 16 samples with Affymetrix U133 Plus 2.0 human microarrays (Affymetrix®, Santa Clara, CA, USA) as previously described
39
. All data are MIAME compliant and the raw data will be publicly available after acceptance of the paper.
To increase the size of the SFT series, we collected two publicly available data sets: West’s set
23
collected from (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4305) and including 13 SFTs and 30 STS profiled using 42,000-element cDNA microarrays, and Hajdu’s set
22
collected from (http://cbio.mskcc.org/Public/SFT) and including 23 SFTs and 33 STS profiled using Affymetrix U133A microarrays. Whole-genome RNA expression profiles were thus available for 52 SFT/HPC samples, including 20 meningeal cases and 32 extra-meningeal cases. However, in the study of Hajdu et al., the meningeal cases encompassed 6 malignant SFT. Because of the rarity of this diagnosis in meningeal location some of these tumours might have the histological criteria of HPC according to the CNS WHO classification of brain tumours. So we used the terminology SFT/HPC for meningeal tumours.
Gene expression data sets of synovial sarcomas and meningiomas
To analyze ALDH1A1 mRNA expression in synovial sarcomas and meningiomas, we collected publicly available gene expression data sets. For meningiomas, we collected three data sets including a total of 161 samples: Claus’s set
40
collected from the National Center for Biotechnology Information (NCBI)/Genbank GEO database (series entry GSE9438) and including 31 samples, Lee’s set
41
collected from the GEO database (GSE16581) and including 68 samples, and Scheck’s set collected from the GEO database (GSE4780) and including 62 samples.
For synovial sarcomas, we collected four data sets including a total of 30 samples: Nakayama’s set
42
from the GEO database (GSE6481) and including 16 cases, Detwiller’s set
43
from the GEO database (GSE16581) and including 4 cases, West’s set
23
collected from (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4305) and including 6 cases, and Hajdu’s set
22
collected from (http://cbio.mskcc.org/Public/SFT) and including 4 cases.
Analysis of gene expression data
All gene expression data sets are listed in Additional file 2: Table S1. RNA expression data were thus available for 52 SFT/HPC, 161 meningiomas and 30 synovial sarcomas, collected through 8 data sets. Before analysis, we first applied quantile normalization to the available processed West’s data set and MAS5-processed Detwiller and Nakayama’s Affymetrix data sets. For the other Affymetrix sets (raw data), we used Robust Multichip Average (RMA)
44
with the non-parametric quantile algorithm as normalization parameter. Quantile normalization or RMA was done in R using Bioconductor and associated packages.
<p>Additional file 2: Table S1</p>
Description of gene expression data sets pooling SFT and HPC.
Click here for file
Normalised expression data generated from different technological platforms and laboratories were then further processed to eliminate potential bias. Processing of data included as first step the selection of genes unique and common to all sets. We focused on ALDH1A1 and a list of 575 human housekeeping genes
45
. Before the selection, we mapped hybridization probes across the different technological platforms (Affymetrix U133A and U133 Plus 2.0, and Stanford cDNA microarrays). Affymetrix gene chip annotations were updated using NetAffx Annotation files (http://www.affymetrix.com; release from 01/12/2008). Stanford gene annotations were retrieved and updated using EntrezGene (Homo sapiens gene information db, release from 09/12/2008, http://ftp.ncbi.nlm.nih.gov/gene/). All probes were then mapped on the basis of their EntrezGeneID. When multiple probes were mapped to the same GeneID, the one with the highest variance in a particular dataset was selected to represent the GeneID. For redundant Affymetrix probe sets, those with an extension « _at », next « s_at », and followed by all other extensions were preferentially kept. After mapping and selection, 451 out of the 575 housekeeping genes were retained. Among these 451 genes, we then selected the ones with the smallest variation in RNA expression across all data sets: 354 genes were retained, showing the smallest inter-set variance of intra-set variance, the cut-off of non-variance being defined by the distribution of variability measurements. The last step was the normalisation of all data sets based on 355 genes including the 354 housekeeping genes and ALDH1A1 (Affymetrix probe set 212224_at, and IMAGE clone 855624 for West’s set) using Distance Weighted Discrimination (DWD)
46
. Principal Component Analysis (PCA) demonstrated that normalization was effective in removing technical, inter-laboratory variation in gene expression (data not shown), allowing us to compare ALDH1A1 expression between all data sets. Comparison was done using continuous values.
Then, we compared (Mann–Whitney test) the ALDH1A1 mRNA expression of HPC (N = 10) vs SFT (N = 6),of HPC (N = 10) vs synovial sarcomas (N = 30) and vs meningiomas (N = 161), and of SFT (N = 6) vs synovial sarcomas (N = 30) and vs meningiomas (N = 161).
Immunohistochemistry
A total of 38 SFT (25 meningeal and 13 extrameningeal), 55 meningeal HPC, 163 meningiomas and 98 synovialosarcomas were selected for the IHC study. The eighty cases of SFT/HPC belonged to a previously published multicentric retrospective study
6
. The thirteen extra-meningeal SFT were located in soft tissues (9 cases) and the thorax (3 cases). The absence of t(X;18) in SFT samples was checked using a previously described FISH method
8
with the SS18 Break apart FISH probe Kit from Vysis:. 78 cases of 93 SFT were interpretable and did not show any SYT rearrangement. Meningiomas were retrieved from the pathological archives of the Timone Hospital. They included 86 grade I tumors, 62 grade II, and 15 grade III. Among the grade I there were 37 meningothelial, 27 fibroblastic, 14 transitional, 5 psamommatous, 2 secretory and one microcystic sub-types. A total of 98 genetically confirmed synovial sarcomas were provided from the pathological files of the The Institut Bergonié (Bordeaux).
Automate immunohistochemistry was performed on formol fixed paraffin embedded 4 μm sections from TMA paraffin blocks. All tumor specimens had been fixed in 4% formalin. TMAs were prepared as previously described
47
. Briefly, for each sample, three representative sample areas were carefully selected from a haematoxylin–eosin-stained section of a donor block, in order to punch core cylinders with a diameter of 0.6 mm (for SFT and meningiomas) and 1 mm for synovial sarcomas. Each tumour was punched from three representative areas and deposited into two separate recipient paraffin blocks using a specific arraying device (Alphelys). Automate IHC was performed using a Ventana automate (Benchmark XT, Ventana Medical Systems SA, Illkirch, France) and the two following antibodies: ALDH1 (clone 44/ALDH, immunogen Human ALDH1 aa. 7–128, BD Transduction Laboratories, dilution: 1/500), and CD34 (QBEND10, prediluted). One hour Heat antigen retrieval at 95° was used with a citrate buffer pH = 8.4 for ALDH1 and EDTA buffer pH = 8 for CD34. External positive control was a glioblastoma for ALDH1. For CD34, normal vessels serve as internal positive control. Negative controls corresponded to omission of primary antibody or irrelevant antibodies of the same isotype. IHC was recorded positive when cytoplasmic staining was observed in 5% or more of the cells for both markers. Then a semi-quantitative analysis was done for ALDH1-positive specimens. A mean of the percentage of each spot was recorded and classified as follows: low positivity = 5-10% of stained cells, intermediate positivity = 11-50%, high positivity > 50%.
Statistical analyses
Comparison of ALDH1A1 mRNA expression status according to histological type was done using the Student t-test applied to continuous values.
For immunohistochemistry, continuous variables are expressed as means ±SD or as median with range (min,max), and categorical variables are reported as count and percentages. Comparisons of means values between two groups were performed using student t-test or Mann–Whitney U. Comparisons of percentages were performed using Chi-Square test or (Fisher’s exact test, as appropriate). The discriminative ability of ALDH1 and CD34 immunostaining was quantified by the measures of diagnostic accuracy. All statistical tests were two-sided at the 5% level of significance. Statistical analysis was done using PASW Statistics version 17.02 (IBM SPSS Inc., Chicago, IL, USA) and R software. Sensitivity and specificity of ALDH1 and CD34 immunostainings were compared as previously reported
48
.