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* From the Department of Surgery and Science (Drs. Yoshino, Fukuyama, Kameyama, Shikada, Maehara, and Sugimachi), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; and the Pathological Research Laboratory (Dr. Oda), National Kyushu Cancer Center, Fukuoka, Japan.
Correspondence to: Ichiro Yoshino, MD, PhD, Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Fukuoka 812-8582, Japan; e-mail: iyoshino{at}surg2.med.kyushu-u.ac.jp
| Abstract |
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Patients and methods: In a consecutive series of 51 patients with NSCLC who had undergone a surgical resection, microsatellite instability (MSI) and LOH in tumors were analyzed by polymerase chain reaction using five fluorescence-labeled dinucleotide markers (D2S123, D5S107, D10S197, D11SS904, and D13S175) and an autosequencer.
Results: MSI was detected in only one patient (2.0%) with only one marker. LOH was detected in at least one chromosomal region that was tested in 39 patients (76%). The mean (± SD) number of LOHs detected by each marker was 1.74 ± 1.40, with 1 LOH detected in 10 patients, 2 LOHs detected in 15 patients, 10 LOHs detected in 3 patients, 1 LOH detected in 4 patients, and 3 LOHs detected in 5 patients. The number of LOHs detected in each patient was significantly associated with the pack-year index (
= 0.501; p = 0.0004), although there was no relationship with having a history of multiple cancers and familial cancer. Patients with stage IA disease showed a significantly lower number of LOHs than did patients with other stages of disease (1.15 vs 2.38, respectively; p = 0.0013).
Conclusion: LOH is very common in patients with NSCLC, and the number of LOHs increases with increases in smoking, suggesting the presence of an important event in lung carcinogenesis.
Key Words: loss of heterozygosity microsatellite instability microsatellite marker non-small cell lung cancer smoking habit
| Introduction |
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We developed a novel system by which to investigate microsatellite disorder in genomic DNA12 13 using fluorescence-labeled markers. As regards detecting such microsatellite instability (MSI), this system has the high-resolution capacity to identify easily and consistently minimal disorder within fewer than six bases. Using this system, we observed the following two types of MSIs: type A was a disorder of fewer than six bases; and type B involved more than eight base pairs. More recently, we reported the unique MSI profile of a clinical colorectal cancer that had been analyzed by this system, in which rectal cancer was determined to be type B-dominant, whereas distal and proximal colon cancers showed heterogeneous patterns. These results suggested that there is a differential molecular background in colorectal cancers.14
In this study, microsatellite disorders of non-small cell lung cancer (NSCLC) were investigated using high resolution fluorescent microsatellite analysis and 5 dinucleotide markers; these markers were not matched to the chromosomal locations of known recessive oncogenes. The study was conducted in order to elucidate the relationships between the frequency of LOH and clinicopathologic factors such as smoking history, familial cancer and multiple cancers.
| Materials and Methods |
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Extraction of Genomic DNA From Specimens
Cancer tissues and the corresponding normal lung tissues were obtained from surgical specimen immediately after resection. Specimens were placed in liquid nitrogen and used for the analysis. The remaining specimens were routinely processed for histologic examination. Frozen tissues were broken up in liquid nitrogen and lysed in a digestion buffer (10 mM Tris-Cl [pH 8.0]; 0.1 M ethylenediaminetetraacetic acid [EDTA] [pH 8.0]; 0.5% sodium dodecyl sulfate; and 20 µg/mL paracreatic RNase). After treatment with proteinase K and extraction with phenol, the DNA was precipitated with ethanol and then was dissolved in 1 x Tris buffer (10 mM Tris-Cl [pH 7.5] and 1 mM EDTA).
High-Resolution Fluorescent Microsatellite Analysis
Five dinucleotide microsatellites, D2S123, D5S107, D10S197, D11S904, and D13S175, were used as markers for the analysis of MSI and LOH.12
Using genomic DNA derived from tissue specimens, the five microsatellite sequences were amplified by polymerase chain reaction (PCR). Oligonucleotide primers corresponding to the microsatellite sequences12
were synthesized and purified by high-performance liquid chromatography. 5' primers were labeled with the fluorescent compounds 6-carboxy-x-rhodamine or 6-carboxy-2',4',7',4,7-hexachloro-fluorescein. PCR reactions were performed using Taq reagent kits (Takara Co, Ltd; Tokyo, Japan) and were run using a PCR system (GeneAmp PCR system 9600 or 2400; Perkin-Elmer; Norwalk, CT). Each 50 µL reaction mixture contained 1 times the reaction buffer, 350 µM each deoxynucleoside triphosphate, 10 pmol each primer, 2.5 U polymerase, and 25 µg genomic DNA. The thermal conditions of the system were as follows: one cycle at 95°C for 4 min; 35 cycles at 95°C for 0.5 min, 55°C for 0.5 min, and 72°C for 0.5 min; and 1 cycle at 72°C for 10 min. Then 0.5 U T4DNA polymerase was added to the mixture, followed by incubation at 37°C for 10 min. Each 1.5 µL product was mixed with 0.5 µL loading buffer (ie, blue dextran and 25 mM EDTA), 2.5 µL formamide, and 0.5 µL dH2O. To compare the electrophoretic profiles of two samples, 1.2 mL 6-carboxy-x-rhodamine-labeled product and 0.3 mL 6-carboxy-2',4',7',4,7-hexachloro-fluorescein-labeled product were mixed. Samples were denatured and loaded onto a sequencer (model ABI 373A; Applied Biosystems; Foster City, CA). In each case, a size marker labeled with N, N, N', N'-tetramethyl-6-carboxyrhodamine always underwent electrophoresis in each lane in order to standardize the mobility of the sample. The running conditions were 1,500 V, 20 mA, and 30 W for 5.5 h. The data were processed using computer software (ABI GeneScan; Applied Biosystems).
Statistical Analysis
The number of LOHs detected among the five markers was compared among subgroups, which were divided according to clinicopathologic factors, and the differences were analyzed using a t test. The correlation between the number of LOHs and the pack-year index (PYI) was analyzed by Spearman test. The data were considered to be significant when the p value did not exceed 0.05.
| Results |
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= 0.501; p = 0.0004).
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| Discussion |
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In a previous study analyzing MSI in patients with NSCLC by electrophoresis, the frequency of MSI data has been conflicting (2 to 34%).17 18 19 In our study, using a fluorescent system the incidence of MSI was very infrequent (2%). Since this system almost completely eliminated artifacts and was more precise than electrophoresis, our data appear to be significant. The frequency of LOH was detected by radioisotope labeling, and the electrophoresis method has been reported to be > 50%.19 In the specific analysis for 3p14 and 9p21, which are within the FHIT gene and are close to the p16 tumor suppressor gene, respectively, LOH was found in 63% and 60%, respectively.19 In our study, using five microsatellite markers that were nonspecific to such recessive oncogenes, the frequency of the LOH detected by each marker was 30 to 39%, whereas that of the LOH detected by at least one marker was 76%.
There have been several studies19 20 investigating the relationship between the incidence of LOH at selected chromosomal regions and patient prognosis. Zhou et al19 reported that the LOH at 10q24 was a strong prognostic indicator for patients with stage I NSCLC, whereas the MSI at the same region affected the prognosis for adenocarcinoma patients only. Fong et al20 reported that the LOH at 11p13 significantly correlated with advanced tumor stage and with poor prognosis, therefore they speculated that the chromosomal region harbors a tumor suppressor gene. As regards 3p14, where the FHIT gene is located, 63% of the tumoral DNA showed LOH,19 and this LOH was reported to be associated with poor prognosis.21 In the present study, the frequency of LOH was significantly lower in stage IA disease than in stage IIB to IV disease in patients with NSCLC, despite nonspecific markers of known tumor suppressor genes. This result might suggest that a condition such as high frequency of LOH was associated with the chance that critical LOH would affect tumor progression. The relationship between the specific LOH at 10q24, 3p14, or 11p13 and the frequency of LOH at nonspecific regions should be examined in this system.
The frequency of LOH in DNA from bronchial epithelial tissues has been associated with the amount of tobacco smoking.6 7 Wistuba et al7 reported that the LOH of at least one of 15 polymorphic microsatellite markers was observed in 86% of smokers. Although the incidence of bronchial dysplasia and the frequency of the LOH were not associated, patients in whom carcinoma in situ had been detected exhibited the highest frequency of LOH. Mao et al6 reported that 76% of smokers showed an LOH in the DNA of bronchial biopsy specimens, whereas only one subject among five nonsmokers showed LOH in an analysis of 3p14, 9p21, and 17p13, which correspond to the FHIT, the CDKN2, and the TP53 genes. The LOH of 3p53 was more frequently observed among current smokers (88%) than among former smokers (45%) and was associated with dysplasia of the bronchial epithelial cells. These results clearly indicated that an environmental factor such as smoking can affect the frequency of LOH, which is considered to be the most common genetic disorder underlining lung tumorigenesis. Therefore, the 30 smokers in this study might have very frequent LOH in their nontumoral DNA, however, our analysis was unable to detect microsatellite changes in normal lung DNA since our system included only a comparison between DNA from tumor tissues and that from normal lung tissues. Therefore, microsatellite changes were recognized by differences between these two tissue types as described in the "Materials and Methods" section. In other words, the LOH in our study was detected by the presence of additional microsatellite changes occurring in tumoral DNA in comparison with the DNA of normal tissues.
Our study indicated that there exists a correlation between LOH frequency and the smoking status. The study further suggested that the frequency of LOH might indicate an accumulation of genetic disorders. Our next study will investigate the relationship between the frequency of LOH in cases of NSCLC and the incidence of second primary NSCLCs. Moreover, the automated fluorescent system that has suggested here will be quite appropriate for the prospective study in terms of its accuracy, reproducibility, and brevity.
| Footnotes |
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Received for publication March 18, 2002. Accepted for publication August 30, 2002.
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