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From the Departments of Pathology and Laboratory Medicine,
*
and Integrative Biology and Pharmacology,
The University of Texas-Houston Medical School, Houston; and the Department of Hematopathology,
The University of Texas M.D. Anderson Cancer Center, Houston, Texas
| Abstract |
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| Introduction |
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Establishing the diagnosis of MCL is complicated by several factors. MCL exhibits a spectrum of morphological findings and distinguishing MCL from other types of NHL relies on the appreciation of subtle histological differences.1, 2 The diagnosis of high-grade variants of MCL can be especially difficult. Immunophenotypic findings in MCL share many features with other low-grade B-cell NHLs, except for cyclin D1 overexpression, which is a characteristic feature of MCL. However, some cases of MCL have low level cyclin D1 overexpression that is difficult to detect by using immunohistochemical methods.5, 6 Molecular methods to detect the t(11;14), thereby supporting the diagnosis of MCL, also have drawbacks. Polymerase chain reaction (PCR) methods, which target the major translocation cluster region, detect the t(11;14) in 40 to 50% of MCL.7 However, other chromosome 11 breakpoints are widely scattered over 120 kb and are not detected by PCR.8, 9 Southern blot analysis using multiple probes can detect the t(11;14) in 70 to 80% of cases, but this method is time-consuming and requires high-quality DNA.8, 9, 10 Conventional cytogenetic analysis of MCL theoretically has the potential to identify the t(11;14) in all cases. However, for technical reasons, such as poor cell growth, the reported sensitivity using this method is approximately 60 to 80%.11, 12 Fluorescence in situ hybridization (FISH) analysis of nuclei isolated from either fresh cells or paraffin-embedded tissue has been found to be highly sensitive for detecting the t(11;14),13, 14, 15 but this assay is not routinely performed in many laboratories.
An alternative approach to obtain support for the diagnosis of MCL is to determine expression levels of the CCND1 gene, as all t(11;14) translocations result in overexpression. As lymphoid cells express very low levels of cyclin D1, not detectable by immunohistochemical methods,16 these methods are convenient and specific for distinguishing MCL from other NHL. However, a negative immunoreaction does not exclude the diagnosis of MCL, as some cases have relatively low levels of cyclin D1. Detection of cyclin D1 mRNA by RT-PCR, in contrast, is very sensitive. Unfortunately, this approach cannot distinguish signal contributed by stromal, epithelial, or lymphoid cells.6, 16, 17 Furthermore, conventional RT-PCR methods allow only semi-quantitative analysis of mRNA levels. Quantification of cyclin D1 mRNA from microdissected tissue sections would be an ideal solution coupling the requirements of high sensitivity and specificity. Numerical data, in addition, may permit more specific stratification of MCL cases for the purposes of classification and analysis of outcome.
In this study, we used qRT-PCR to quantify cyclin D1 mRNA levels in 21 MCL and 37 other B-cell NHLs to determine the value of this approach as an ancillary tool for the diagnosis of MCL. We extracted RNA from microdissected paraffin-embedded tissue sections as we have previously reported,18 and normalized cyclin D1 mRNA levels to two reference mRNA species, CD20 and cyclophilin A.
| Materials and Methods |
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Cyclin D1 Immunohistochemical Methods
Deparaffinized tissue sections were subjected to microwave-enhanced antigen retrieval using 0.01 mol/L citrate buffer, pH 6.0, for 15 minutes.19
Sections were immunostained using a three-step avidin-biotin complex-peroxidase system. We used the DCS-6 monoclonal antibody (dilution 1:350, Dako, Carpinteria, CA) to assess for cyclin D1, followed by a biotinylated anti-mouse Ig, and avidin-biotin-peroxidase complex (LSAB2, Dako). Immunocomplexes were visualized by using 3,3'-diaminobenzidine tetrahydrochloride as the chromogen.
Microdissection and RNA Extraction
Formalin-fixed, paraffin-embedded tissue sections were dewaxed and rehydrated through two rinses each of xylene and absolute ethanol and stained with 0.08% methylene blue. Non-Hodgkins lymphoma tissue was separated from stroma and epithelial tissue using one to three tissue sections by manual microdissection under a dissecting microscope. The microdissected tissue was pooled and stored in absolute ethanol at room temperature until used. Microdissected tissue fragments were sedimented from ethanol by centrifugation at 10,000 x g for 1 minute.
Total RNA was extracted from the tissue pellet using the Masterpure kit (Epicenter Technologies, Madison, WI) according to the manufacturers instructions, with overnight proteinase K digestion. The extracted RNA was dissolved in 20 µl of 1X PCR buffer supplemented with 5 mmol/L MgCl2, 10 mmol/L dithiothreitol (DTT), 4 units of RNasin (Promega, Madison, WI), 3 units DNase I (Life Technologies, Gaithersburg, MD) and incubated for 30 minutes at 37°C to digest contaminating DNA. An additional 20 µl of distilled water was added and the DNase I was inactivated at 75°C for 10 minutes. The RNA sample was stored at - 70°C until analyzed.
Standards
To enable us to determine the number of molecules in the starting material, synthetic RNA (sRNA) (for cyclophilin A) or double-stranded DNA (for cyclin D1 and CD20) was used to construct standard curves. sRNA was transcribed from cyclophilin A cDNA that was tailed via PCR to introduce the promoter of the T7 RNA polymerase using the MEGAshortscript kit (Ambion, Austin, TX) as previously described.20
Tenfold serial dilutions of the sRNA were used to generate the cyclophilin A standard curve.
CD20 and cyclin D1 were amplified from a fresh human tonsillectomy specimen by RT-PCR. The amplified material was purified by chromatography through a G50 spin column (Boehringer Mannheim, Indianapolis, IN). The DNA concentration was determined by optical density measurement and 10-fold serial dilutions were used as standards.
Quantitative RT-PCR
The TaqMan PCR technology21, 22
makes use of an internally quenched, fluorescently labeled oligonucleotide (probe) that anneals to the denatured target sequence in the segment defined by the PCR primers. On primer extension, the probe is hydrolyzed by virtue of the 5'->3' exonuclease activity of TaqI polymerase, resulting in liberation and dequenching of a fluorescent nucleotide. The ABI Prism 7700 Sequence Detector (Applied Biosystems, Foster City, CA) detects in real-time the fluorescent signal of the hydrolyzed probe and determines the threshold cycle (CT), the cycle number at which the signal exceeds background by > = 10 SD. The CT value is a precise measure of the number of generated amplicons which, in turn, is a measure on a logarithmic scale of the amount of starting DNA target. This technique is sensitive, precise, and has a very wide dynamic range.22
The requirement of probe hybridization makes this technique more specific than traditional PCR methods.
The RT and PCR reactions were run in 96-well plates. Each run consisted of a sRNA or DNA standard (typically 200 fg to 20 attog) in triplicate, 20 unknown samples in duplicate, 1 "no-RT" well for each duplicate unknown to control for tissue-derived DNA contamination, and a "no template" control well consisting of all of the components of the RT and PCR reaction mixtures except RNA to control for extraneous DNA contamination.
Reverse Transcription
The reaction mixture contained 2 µl of extracted cellular RNA, 500 µmol/L of each dNTP, 200 to 300 nmol/L of reverse primer, 1X first-strand buffer (Life Technologies), 10 mmol/L DTT (Boehringer Mannheim) and 10 units of Superscript II reverse transcriptase (Life Technologies) in a volume of 10 µl. The reaction mixture was incubated at 50°C for 30 minutes followed by heat inactivation at 72°C for 10 minutes. RT reactions were run in triplicate for the standards and in duplicate for unknown samples. For each duplicate reaction, a "no-RT" control was run which included all components of the RT mixture except reverse transcriptase.
PCR
Following first-strand synthesis, all of the 10 µl RT reaction mixture was used for subsequent PCR amplification by adding 40 µl of PCR master mix to the same wells. The PCR reaction mixture included 1X PCR buffer, 200 µmol/L of each dNTP, and 1.25 U Taq polymerase (Roche Molecular Biochemicals, Indianapolis, IN) in a final volume of 50 µl. Depending on the target transcript, the optimal concentration of MgCl2, primers, and the fluorogenic Taqman probe varied as tabulated in Table 1
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Data Analysis and Statistical Evaluation
The ABI Prism 7700 instrument determines the CT values of each well and the Sequence Detection Application converts these values to copy number if a calibrated series of standards is included in the run. Only samples with CT values at least two units less than that of the "no-RT" control were included in data analysis. To correct for variations of total RNA concentration, the copy number of cyclin D1 mRNA was expressed as a percentage of CD20 or cyclophilin A mRNA molecules. Cyclophilin A is a ubiquitous, constitutively expressed mRNA species.26
These normalized cyclin D1 mRNA levels were used in data analysis.
We used Jandels Sigmastat software (SPSS Inc., Chicago, IL) for statistical analysis. To establish whether cyclin D1 mRNA level differences were statistically significant for any NHL group, one-way analysis of variance (ANOVA) was used. We used parametric analysis of variance for normally distributed values and the Kruskall-Wallis analysis of variance on ranks for values exhibiting asymmetrical distribution. If analysis of variance indicated a significant difference, we identified the specific diagnostic category that was significantly different from MCL by pair-wise comparison using either Dunns test (for asymmetrical data) or Tukeys test (for normally distributed data). All procedures were performed at a significance level of p = <0.05. For correlation analysis, Pearsons correlation coefficient was calculated.
| Results |
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Since the data points were not normally distributed, the medians were used to characterize the diagnostic groups. The median cyclin D1 mRNA levels expressed as a percentage of CyPA or CD20 for each diagnostic category are shown in Figure 2
. As displayed, the CyPA-normalized cyclin D1 levels in all non-MCL cases were comparable, with a median value 4- to 70-fold lower than the MCL group. Statistical analysis by Dunns pair-wise comparison for non-normally distributed data showed that these differences were significant between MCL versus all other groups (P < 0.05) except the reactive lymph node group (Table 3)
. When the distribution was normalized by logarithmic transformation and Tukeys test was used for pair-wise comparison, the difference in mean cyclin D1 mRNA levels between MCL and reactive lymphoid tissues also reached statistical significance (P < 0.05).
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To determine the possible cause of the higher variance of the CD20-normalized values, we calculated the levels of CD20 expression relative to cyclophilin A. As shown in Figure 3
, the CD20 mRNA levels, when normalized to CyPA, were variable. They were very low in BL and reactive lymph nodes. The other non-MCL NHLs expressed comparable levels of CD20. MCL, as a group, expressed CD20 levels almost twice as high as CLL/SLL. Statistical analysis of log-transformed data showed that BL expressed significantly less CD20 mRNA than MCL, MZL, or FL (P < 0.05); all other groups were not significantly different from each other.
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We also considered the possibilty that a diagnostically useful cutoff level for cyclin D1 expression could be established. After examining the distribution of the data, we chose a cutoff value at 10 to 20% of CyPA or 20 to 25% of CD20, and obtained a sensitivity of 95.2% and specificity of 97.3% for both normalizers. (In these calculations samples 46 and 49 were included as independent data points).
| Discussion |
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Previous attempts to apply qRT-PCR methods to the analysis of paraffin-embedded tissue sections have encountered limited sensitivity attributable to tissue fixation, particularly when cross-linking fixatives such as formalin are used, leading others to suggest the use of alternative fixatives.27 We preferred to adapt this method to formalin-fixed and routinely processed tissue to enable us access to the vast tissue resources stored as archived paraffin blocks. The success of the method we have used may be attributed to the extensive proteolysis during RNA extraction and the design of assays with short target amplicons. In this study we were able to measure transcript levels from a single 4-µm section of very small biopsy specimens, such as endoscopic biopsy specimens obtained from the gastrointestinal tract.
We detected cyclin D1 expression in all NHL and reactive lymph node specimens. Although some groups have reported that reactive lymphoid tissues and non-MCL (except for hairy cell leukemia) do not express cyclin D1,3, 6, 28 several groups have detected low levels of cyclin D1 mRNA or protein in non-neoplastic B lymphocytes and B-cell NHL other than MCL by Northern and Western blotting, respectively, or by RT-PCR.17, 29 While the manual microdissection technique we used could not ensure the recovery of stromal cell-free lymphoid tissue, the fact that the cyclin D1 levels in various diagnostic categories changed in tandem whether normalized to CyPA or the B-cell-specific CD20 reference message suggests that these differences reflect truly variable expression by the B-cell compartment, rather than a predictably steady contribution by non-lymphoid cells. Furthermore, manual microdissection was adequate to obtain epithelium-free lymphoid tissue from gastrointestinal tract, skin, and salivary gland biopsy specimens. Since epithelial tissues are known to express cyclin D1, microdissection in these cases is necessary for accurate assessment of cyclin D1 levels from lymphoid tissue.
The reliability of our qRT-PCR method for the analysis of microdissected, paraffin-embedded tissue sections of lymphoid tissues is supported by several lines of evidence. The strong linear correlation between levels of two independent constitutive mRNA species confirmed that their recovery was proportional and apparently unaffected by mRNA species. There was a strong positive correlation between cyclin D1 levels and MCL, the diagnosis of which was based on unrelated methods. Other studies using qualitative or semi-quantitative RT-PCR on paraffin tissue or qRT-PCR on fresh-frozen material have reported results very similar to our own.16, 30, 31 The only studies using real-time qRT-PCR to measure cyclin D1 mRNA levels in paraffin sections of which we are aware are those of Bijwaard and colleagues and Suzuki and colleagues.30, 31 These authors found significantly higher mean cyclin D1 mRNA levels in MCL compared with all other NHL types assessed. Bijwaard and colleagues30 also observed large variability in the level of overexpression, approximately 16-fold differences, in MCL cases. Finally, the observed twofold difference in CD20 mRNA level between MCL and CLL/SLL is very similar to that reported for the protein as determined by quantitative flow cytometry by others.32
The large differences in the level of cyclin D1 mRNA overexpression in MCL, resulting in a non-normal distribution of the mRNA copy number, suggest heterogeneity within the MCL group. This observation is in accordance with the results of cyclin D1 expression determined immunohistochemically. A review of the immunostained slides of the MCL cases in the study group showed that the source of this variability was attributable to both variable protein concentration in individual cells and a variable proportion of lymphoma cells overexpressing the protein. The observed variability of cyclin D1 overexpression in MCL cases possibly reflects the lack of regulatory constraint on the translocated cyclin D1 gene in a cell type that normally barely expresses it. This bias toward high level overexpression resulted in asymmetrical distribution of the cyclin D1 mRNA levels, making it necessary to compare the diagnostic categories by their median values. To maximize the resolving power of statistical calculations we also compared logarithmically transformed cyclin D1 mRNA levels. After such transformation, the data are amenable to analysis by the more powerful parametric statistical tests (parametric analysis of variance followed by Tukeys pair-wise comparison).
In an attempt to identify a factor that segregates the MCL cases into corresponding subgroups we correlated gender, architectural pattern, and cytological features with cyclin D1 mRNA copy number. We did not observe any difference in level of cyclin D1 overexpression that correlated with architecture (diffuse, nodular, or both), nor could we correlate cyclin D1 levels with cytologic features. Other authors also have failed to correlate morphological variants of MCL with levels of cyclin D1 mRNA or protein.33
Cyclin D1 is up-regulated during estrogen-induced proliferation of estrogen target tissues,34 yet MCL afflicts males three to four times more frequently than females. To determine whether there were sex-related differences in cyclin D1 levels in MCL, we compared the values obtained in men and women. The mean cyclin D1 levels were higher in men, but these differences reached marginal statistical significance only for the CD20-normalized values.
Three of our MCL cases tested positive for the t(11;14) by PCR which targets the major translocation cluster (MTC). The MTC is approximately 120 kb distant from the CCND1 gene, and PCR or Southern probes targeting this region demonstrate its involvement in approximately 40 to 50% of MCL cases.7, 8, 10 The other breakpoints are in closer proximity to the CCND1 gene.8, 9 Therefore, a possible positional effect of the IgH promoter on cyclin D1 transcription may be inferred by comparing cyclin D1 mRNA levels in PCR-positive and PCR-negative cases. This comparison showed no effect of proximity on cyclin D1 mRNA expression levels. Other authors similarly could not detect any effect of the proximity of the breakpoint site on the nuclear staining intensity by immunohistochemistry.35 We found only a moderate level of cyclin D1 mRNA in one of our MCL cases (case 55) which, by our criteria, did not constitute overexpression. The lack of cyclin D1 mRNA or protein overexpression has been reported in 5 to 10% of MCL cases.29, 33, 36 Unlike the reported cases where cyclin D1 protein was undetectable or was not assayed for, our case did show cyclin D1 overexpression by immunohistochemical analysis. Altered post-translational regulation resulting in an enhanced translation of cyclin D1,37 or a polymorphism or mutation of the affected allele preventing our assay from detecting mRNA overexpression, are possible explanations.
The use of a B-cell-specific normalizer is a novel feature of our study. By comparing the CyPA-normalized and CD20-normalized cyclin D1 mRNA levels, we were able to estimate the contribution of the B-cell fraction to the total cyclin D1 level. This can be especially useful if large numbers of reactive T cells or non-lymphoid cells are included in the specimen. We interpret the high CD20-normalized cyclin D1 values in reactive lymph nodes (23.7% of CD20) compared with B-cell NHLs other than MCL (2.4 to 9.9% of CD20) as indicative of a low overall CD20 level due to admixed non-B cells rather than true cyclin D1 overexpression, since the CyPA-normalized values were not elevated. In our study, the ratio of the CD20-normalized versus CyPA-normalized cyclin D1 levels ranged 0.09 to 0.59 for the NHL groups. In one case analyzed (and excluded from statistical analysis), the CD20-normalized value was 43 times higher than the CyPA-normalized value, suggestive of a very low level of CD20 expression. This patient had received rituximab (anti-CD20) therapy and the low level of CD20 expression might be the result of down-regulation of CD20 expression or selective proliferation of a CD20-negative B-cell clone.38
In light of our finding that various NHLs express CD20 mRNA at slightly different levels, the use of another B-cell-specific message might be better suited as a normalizer. The concordance of the CD20 mRNA levels with the reported differences of membrane CD20 protein density measured by quantitative flow cytometry studies,32 however, is reassuring regarding the power of resolution of this paraffin section-based qRT-PCR procedure.
| Acknowledgments |
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| Footnotes |
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This work was presented, in part, at the 90th Annual Meeting of the United States and Canadian Academy of Pathology, March, 2001 in Atlanta, GA.
Accepted for publication July 8, 2002.
| References |
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