The predictive value of lymph node micrometastasis, detected by immunohistochemical or genetic methods, is well appreciated in terms of prognosis. However, a major problem is high false-positive rates,because most methods focus on cytokeratin, which is a component not only of carcinoma but also normal epithelial and nonepithelial cells. Mutant allele-specific amplification (MASA) can detect DNAs derived from cancer cells itself, reportedly with high sensitivity. It was,therefore, used with nested-PCR using p53 or K-ras mutation for analysis of lymph node micrometastasis in non-small cell lung carcinoma (NSCLC) patients in the present study, in comparison with the immunohistochemical method using an anti-cytokeratin reagent for the same samples. Lymph nodes from 31 NSCLC patients with p53 and K-rasmutated tumors (30 and 1, respectively) staged as pathological(p)-T1–4 N0–1 and M0 were examined. Genetic and immunohistochemical methods demonstrated positive reactions in 34 (15%) and 61 (27%) of 229 lymph nodes, respectively(9 cases, 29%, and 24 cases, 77%). The concordance with the two methods was 77%, but 13 (39%) of 34 genetically positive lymph nodes could not be detected by immunohistochemistry (IHC). Of 22 cases with p-N0 disease, 6 (27%) were genetically positive in hilar and/or mediastinal lymph nodes, and 4 (67%) of them died after cancer relapse. In contrast, none of the patients without micrometastasis died of cancer (P < 0.001, log rank analysis). Of the same p-N0 patients, 17 (77%) were positive by IHC, and 4 (24%) of them died of cancer, whereas 5 negative patients did not suffer cancer relapse. Survival did not significantly differ between cases positive and negative(P = 0.246) by IHC. According to the g-N(N factor restaged by a genetic method), patients with g-N1and g-N2 disease had a shorter survival than those with g-N0 disease (P = 0.042 and P < 0.001, respectively). However, no significant difference was observed with grading by IHC. Thus,detection of micrometastasis in regional lymph nodes with the MASA method, in other words with a carcinoma-specific marker, is of greater prognostic significance for early stage NSCLC patients than immunohistochemical results. This approach should facilitate selection of patients for whom postoperative adjuvant chemotherapy should be performed.

Numbers of operable NSCLC3cases are increasing because of improved detection of the disease with sophisticated diagnostic techniques. However, even after complete or potentially curative surgery, the long-time survival rate remains unsatisfactory (1). This is related to the fact that disseminated tumor cells, undetectable by routine diagnostic methods,may be present at the time of surgery. If they could be detected,prediction of relapse or prognosis would be facilitated, allowing additional appropriate treatment to be performed for high-risk patients. Micrometastasis to regional lymph nodes, not detected by routine histology, can now be identified by immunohistochemical or genetic methods, and this is reported to be useful for assessment of prognosis (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12). High false-positive rates are a major problem, but the MASA genetic method has high sensitivity and specificity for carcinomas; one tumor cell containing genetic changes was detected in a background of thousands of normal cells(13, 14, 15, 16, 17). It has established prognostic value for colon cancer (2, 13), but data for lung cancer are limited. One reason is that it is difficult to collect enough cases of early stage carcinomas having genetic alteration for MASA analysis. The other is that amplification of the mutated DNA sequence in lymph nodes presented practical difficulties in the past.

In the present study, we therefore collected many NSCLCs with mutations and analyzed regional lymph node micrometastasis by a modified improved MASA method and assessed its prognostic potential. For comparison, the immunohistochemical method using a monoclonal anti-CK reagent was also performed for the same specimens.

Patients, Clinicopathological Data, and Follow-Up.

Fresh frozen samples from 151 NSCLCs (113 adenocarcinomas and 38 squamous cell carcinomas), which were resected consecutively from 1989 to 1993 at Cancer Institute Hospital, Tokyo, Japan, were screened for p53 mutations in exons 4–8 and 10 using single-strand conformation polymorphism, followed by sequencing, and for K-ras mutations of codons 12, 13, and 61 using the MASA method, as described previously (18, 19, 20). All patients analyzed had undergone a complete or potentially curative resection with lobectomy or pneumonectomy, combined with pulmonary hilar and mediastinal lymph node dissection. Histopathological classification and differentiation of the tumors were determined according to the 1981 WHO classification of lung tumors (21). The stage of the disease was based on the TNM staging system of the International Union against Cancer (UICC; Ref. 22). Of the 68 p53and 12 K-ras mutated cases, 35 cases with p53mutations and one case with a K-ras mutation were staged as pathological (p)-T1–4 N0and N1 M0. Of those cases,5 cases with p53 mutation were excluded because the PCR products with the MASA method for the positive controls could not be consistently detected. Finally, 31 cases staged as p-T1–4 N0 and N1 M0 with enough follow-up were eligible for analysis (Table 1). Location and type of mutations for each patient are shown in Table 2. None had received chemotherapy or radiotherapy before surgery, but 13(41.9%) underwent postoperative adjuvant therapy. The patients comprised 24 men and 7 women with a mean age at surgery of 60 years(range, 26–76 years). Twenty-two had adenocarcinomas, and 9 had squamous cell carcinomas, with 8 well, 16 moderate, and 7 poorly differentiated lesions. Two hundred and twenty-nine lymph nodes(median, 8; range, 4–9 for each case) from the 31 patients were eligible for comparison of the micrometastasis positivity between MASA and immunohistochemical methods and for evaluation of prognostic value(Table 3). One hundred and seventy lymph nodes of 22 p-N0(no lymph node metastasis by conventional histological examination)cases were examined in both pulmonary hilar and mediastinal regions. For the remaining nine p-N1 patients, 59 lymph nodes from mediastinal regions were examined by both methods. Survival duration was calculated from the date of operation until the date of the last follow-up (censored) or the date of death. The end point was cancer-related death, and deaths attributable to other causes were treated by censoring. Complete follow-up information was available on all 31 patients, with a median follow-up period of 73 months (range,8–108). Within 5 years after surgery, six patients died with distant or intrapulmonary metastasis, and the others, with the exception of 1 patient who died of another cause (case no. 8), were free of disease(Table 3).

Sectioning of Lymph Nodes and DNA Preparation.

Lymph nodes fixed in formalin and embedded in paraffin, without metastasis by conventional histological study, were analyzed for micrometastasis with serially sectioning. The first and last 4-μm sections were stained with H&E to confirm or refute the presence of overt lymph node metastasis by an experienced histopathologist(E. T.). Genomic DNA was extracted from the second and third 15-μm sections and used for genetic analysis (23). The remaining one 4-μm section was examined by IHC.

Nested-PCR for Genetic Analysis Using the MASA Method.

DNAs used for nested-PCR were extracted from histologically negative lymph nodes. As positive controls, DNAs were extracted from primary tumors fixed in formalin and embedded in paraffin for each patient, and diluted tumor DNAs (1:10, 1:100, and 1:1000) with DNAs extracted from lymph nodes of other cases were used. Also, lymph node DNAs extracted from other cases were used as negative controls. For nested PCR, two sets of primers for each patient were prepared. For the first-round PCR amplification, primers located outside of the mutational site were synthesized to amplify the products within 150 bp, because genomic DNAs from tissues fixed in formalin and embedded in paraffin were in fragments. Mutant allele-specific synthesized primers of 15–22 bp with 3′-ends corresponding to each p53 or K-rasvariant were used for the second round of PCR (MASA method; Table 2;Refs. 13 and 16).

Genomic DNAs from lymph nodes were subjected to first PCR amplification with the set of outer primers (0.5 μm) in 25-μl mixtures consisting of 10 mm Tris-HCl (pH 8.3), 50 mm KCl, 1.5 mm MgCl2,0.01% gelatin, 0.2 mm deoxynucleotide triphosphates (dATP,dTTP, dGTP, and dCTP), and 0.625 unit of AmpliTaq GOLD (Perkin-Elmer Corp., Foster City, CA), with denaturing at 95°C for 9 min, annealing and extension at 52–66°C for 30 s in each cycle, using a GeneAmp PCR System 9700 (Perkin-Elmer Corp.). Because of varied qualities of genomic DNAs from lymph nodes, PCR were performed for 45–50 cycles to obtain equivalent amplified products by saturation. After purification for removal of the primers and deoxynucleotide triphosphates, the amplified products were diluted 50-fold in 10 mm Tris (pH 8)-1 mm EDTA buffer, and 1 μl of aliquots of diluted products was subjected to a second round of PCR using nested primers (mutant allele-specific primers) under the same conditions, except for the temperature of annealing and extension(64–76°C) and the figures of PCR cycles (35–41 cycles), which differed with each set of primers. Primer sequences and PCR conditions of each primer set are shown in Table 2. The PCR products were then subjected to 3% agarose gel electrophoresis and visualized by ethidium bromide staining. All specimens were analyzed at least twice to confirm the results. Furthermore, in the first two cases analyzed, we examined the sequences of the final MASA products and confirmed their identity as those targeted.

Immunohistochemical Staining.

Paraffin-embedded tissue sections 4 μm thick were immunostained with the monoclonal anti-CK reagent, CAM5.2 (Becton Dickinson, San Jose,CA), using an immunoperoxidase method. This primary mouse monoclonal antibody is specific for CKs 8 and 18 of epithelial cells and is positive in both adenocarcinomas and squamous cell carcinomas of the lung (24). After exhaustion of endogenous peroxidase with hydrogen peroxide, deparaffinized sections were incubated with 0.1%trypsin for 45 min at room temperature to expose antigen sites. Possible nonspecific background staining was blocked with 10% normal goat serum for 10 min at room temperature. Then the sections were incubated with a primary antibody at room temperature for 1 h, and the antibody reaction was developed with secondary antibodies using ENVISION polymer reagent (peroxidase-labeled polymers conjugated to goat antimouse and antirabbit immunoglobulins; Dako, Glostrup,Denmark). Next, 0.02% diaminobenzidine was applied as the chromogen,and the sections were counterstained with hematoxylin. For positive controls, tissue sections of both primary tumors and metastatic lymph nodes detected by conventional histopathology were included in each staining batch. Negative control sections for IHC were stained with the primary antibodies omitted.

Statistical Analysis.

To assess any correlations between the presence of micrometastasis and clinicopathological data, Fisher’s exact probability test,Mann-Whitney’ U test, and Student’s t test were used, with P < 0.05 indicating significance. Survival curves were created by the Kaplan-Meier method, and the statistical significance of differences was calculated by the log rank test.

Histologically, no lymph node metastases were reconfirmed, even with retrospective examination of the H&E slides after obtaining genetic and IHC results.

Lymph Node Micrometastasis Detected by the MASA Method.

Representative results of the MASA method are shown in Fig. 1, and a summary of the results is presented in Tables 1 and 3. The genetic method revealed 34 (14.8%) of 229 lymph nodes and 9 (29.0%)of 31 cases to be positive. Among 22 patients with p-T1–4 N0M0 disease, 24 (14.1%) MASA-positive lymph nodes of a total of 170 in the hilar and/or mediastinal regions were detected in 6 (27.3%) patients; micrometastases in two patients were limited to pulmonary hilar lymph nodes and 4 to mediastinal regions. Among nine cases with p-T1–4 N1M0 disease, 10 (16.9%) of 59 lymph nodes in the mediastinal region were MASA positive in 3 (33.3%) patients.

Lymph Node Micrometastasis Detected by IHC and Correlation between MASA and IHC Methods.

CK-positive cells were clearly stained dark brown in their cytoplasm and cell membranes. All primary tumors were positive for staining with anti-CK regent, strongly in all adenocarcinomas but weakly in some cases of squamous cell carcinomas. Lymph nodes were considered positive even if only one CK-positive cell was detected within a lymph node. An example of a CAM5.2-positive cell by the immunohistochemical method is shown in Fig. 2. The immunohistochemical approach demonstrated positive reactions in 61(26.6%) of 229 lymph nodes (24 cases, 77.4%) among patients with p-N0 and p-N1: 47 (27.6%)of 170 lymph nodes (17 cases, 77.3%) with p-N0,and 14 (23.7%) of 59 lymph nodes (7 cases, 77.8%) with p-N1 patients (Table 3). Among 17 p-N0 patients with CK-positive reactions,positive lymph nodes were limited to the pulmonary hilar region in eight cases and up to the mediastinal region in nine cases. The concordance rate between the two methods was 76.9%, but 13 (39%) of 34 genetically positive lymph nodes were not positive with IHC.

Correlation between Patient Survival and Lymph Node Micrometastasis and the Significance of the Restaged N Factor.

Among 22 p-N0 patients, 4 (66.7%) of 6 with micrometastasis detected by the genetic method and none of those without micrometastasis died by cancer relapse. Fig. 3 A shows the survival curves of the p-N0 patients with and without micrometastasis (P < 0.001,log rank analysis). Among the same p-N0 patients,only 4 (23.5%) of 17 CK-positive cases died by relapse, and although the remaining 13 (76.5%) patients were censored, 5 CK-negative patients did not relapse. No prognostic difference was observed between patients with and without micrometastasis decided by IHC(P = 0.246).

Fig. 3,B shows survival curves according to the N factor assessed by conventional histology. Survival duration between p-N0 and p-N1 patients did not differ (P = 0.856). However, when the N factor was restaged according to the genetic results (g-N), patients with g-N1 and g-N2 disease showed a shorter survival than those with g-N0(P = 0.042 and P < 0.001, respectively; Fig. 3,C). The 5-year survivals were 100.0% for patients with g-N0, 75.0% for g-N1, and 42.9% for g-N2. When restaged by IHC (IHC-N), survival between patients with IHC-N0 and IHC-N1 or IHC-N2 did not show any statistically significant difference (P = 0.289 or P = 0.239, respectively; Fig. 3 D).

In the present study, a conventional MASA method was initially applied to analyze mutations in DNAs extracted from formalin-fixed,paraffin-embedded lymph nodes, but the results were sometimes equivocal. Because the main reason was probably that DNAs extracted from these samples were fragmented and not uniform, we first amplified those DNA fragments that include the mutated region to unify the quality of samples, and then MASA analysis was performed using amplified DNA, in which targeted sequences could be reliably detected. Furthermore, we used several positive and negative controls for confirmation. As positive controls, primary tumor DNAs and diluted DNAs were used. The dilution fold was determined on the basis of initial experiments for several cases in which diluted tumor DNAs at 10-, 100-,1,000-, and 10,000-fold were amplified with the modified MASA method. The results showed that in all cases a MASA-specific product was constantly observed in the range from 10- to 1,000-fold but not always identified at 10,000-fold. By this method, we demonstrated that ∼30%of patients with histologically negative lymph nodes indeed had micrometastases, and that these were linked to a poor outcome.

Thus far, for detection of micrometastasis in lymph nodes the immunohistochemical method with anti-CK regent has been used frequently and reported to be effective for prediction of a poor prognosis(3, 4, 5, 7, 8, 9). However, our results showed the modified MASA method to be superior to IHC in terms of NSCLC relapse. In regional lymph nodes, macrophages that phagocytize CKs derived from degraded normal lung epithelial cells are presumably present, and these could be misinterpreted and give rise to false-positives. In fact, we could not recognize carcinoma cells histologically in CK-positive lymph nodes. Furthermore, there have been reports that CK expression may be detected in both normal and neoplastic nonepithelial cells (11, 25, 26).

As a genetic approach to detect lymph node micrometastasis or systematic tumor dissemination, reverse transcription-PCR analysis for several markers, including CK19, has been described (10, 11, 12, 27). Although having a high sensitivity, this is again plagued with the problem of a high percentage of false-positive results,depending on the number of PCR cycles, because of nonspecificity for cancer cells (11, 12, 27). The modified MASA method applied here is not only highly sensitive but also highly specific for carcinoma cells with particular mutations, so that we could show clearly the correlation between the micrometastasis and postoperative survival in lung carcinoma patients. As to mutated DNAs, they may be present in macrophages if they phagocytize carcinoma cells or carcinoma DNAs (28), but this would reflect the likelihood of metastasis.

Carcinoma relapse was found in contralateral lungs or other remote organs in our patients with micrometastasis. Two pathways of metastasis are probable; one is that carcinoma cells pass through the regional lymph nodes and reach blood vessels, and the other is that vascular invasion of carcinoma cells occurs at the primary site. In our study,all six patients with relapse had lymph node metastasis histologically and/or genetically, and in four patients of them metastasis extended to mediastinal region. However, none of the patients without such lymph node involvement showed recurrence. Therefore, the main root for systemic metastasis may be via lymphatic pathways, which strengthens the importance of micrometastasis in lymph nodes. However, in two relapsed patients, lymph node metastasis was limited to the hilar region, so that the second route cannot be ruled out.

If lymph node or distant metastasis is within a “micro level,”undetectable by routine histological examination, intensive adjuvant therapy may prevent carcinoma recurrence. Therefore, a finding of micrometastasis in lymph nodes is important not only for prediction of prognosis but also for selection of patients for whom postoperative extensive adjuvant chemotherapy may be performed to advantage. Further analysis of a large number of patients with this method, possibly in a prospective fashion, is warranted to confirm our results.

Fig. 1.

Results of nested PCR for detection of point mutations in the p53 gene. PCR products were electrophoresed in a 3%agarose gel containing 0.5 μg/ml ethidium bromide. A,negative result for case 19. B, positive result(Lanes 2–7) for case 3. Top, first-round PCR; bottom, second-round PCR (MASA method). Lane M, size marker; Lane T, primary tumor (positive control); Lanes N1–2, lymph nodes of different cases(negative controls); Lanes 1–9, lymph nodes (examined samples); Lane 1/10–1/1000, tumor DNAs diluted (1:10,1:100, and 1:1000) with DNAs extracted from lymph nodes of other cases(positive controls); Lane DW, distilled water (negative control).

Fig. 1.

Results of nested PCR for detection of point mutations in the p53 gene. PCR products were electrophoresed in a 3%agarose gel containing 0.5 μg/ml ethidium bromide. A,negative result for case 19. B, positive result(Lanes 2–7) for case 3. Top, first-round PCR; bottom, second-round PCR (MASA method). Lane M, size marker; Lane T, primary tumor (positive control); Lanes N1–2, lymph nodes of different cases(negative controls); Lanes 1–9, lymph nodes (examined samples); Lane 1/10–1/1000, tumor DNAs diluted (1:10,1:100, and 1:1000) with DNAs extracted from lymph nodes of other cases(positive controls); Lane DW, distilled water (negative control).

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Fig. 2.

An example of a CAM5.2-positive cell by immunohistochemical staining in a lymph node. An oval cell is diffusely positive by CAM5.2 in the cytoplasm. In a serial lymph node section stained with H&E, the cell was histologically interpretable as a macrophage or a histiocyte rather than a carcinoma cell. Several macrophages phagocytizing dust particles are also apparent. ×400.

Fig. 2.

An example of a CAM5.2-positive cell by immunohistochemical staining in a lymph node. An oval cell is diffusely positive by CAM5.2 in the cytoplasm. In a serial lymph node section stained with H&E, the cell was histologically interpretable as a macrophage or a histiocyte rather than a carcinoma cell. Several macrophages phagocytizing dust particles are also apparent. ×400.

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Fig. 3.

Kaplan-Meier survival curves with respect to disease-specific survival. A, cases with and without micrometastasis detected by the genetic method in pathological-N0 disease. A worse prognosis was observed in patients with micrometastasis (P < 0.001, log rank analysis). B, N0 and N1 disease decided by conventional histology (p-N), without any significant intergroup difference (P = 0.856). C, N0–2 disease restaged by the genetic method (g-N). A worse prognosis was observed in patients with g-N1 and g-N2 than those with g-N0(P = 0.042 and P < 0.001,respectively). D, N0–2 disease restaged by IHC (IHC-N). No difference in survival is apparent between patients with IHC-N0 and IHC-N1 or IHC-N2(P = 0.289 or P = 0.239,respectively).

Fig. 3.

Kaplan-Meier survival curves with respect to disease-specific survival. A, cases with and without micrometastasis detected by the genetic method in pathological-N0 disease. A worse prognosis was observed in patients with micrometastasis (P < 0.001, log rank analysis). B, N0 and N1 disease decided by conventional histology (p-N), without any significant intergroup difference (P = 0.856). C, N0–2 disease restaged by the genetic method (g-N). A worse prognosis was observed in patients with g-N1 and g-N2 than those with g-N0(P = 0.042 and P < 0.001,respectively). D, N0–2 disease restaged by IHC (IHC-N). No difference in survival is apparent between patients with IHC-N0 and IHC-N1 or IHC-N2(P = 0.289 or P = 0.239,respectively).

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1

Supported in part by Grants-in-Aid for scientific research from the Ministry of Education, Science, Sports and Culture of Japan; by a research grant from the Ministry of Health and Welfare of Japan; by the Vehicle Racing Commemorative Foundation; and by the Smoking Research Foundation.

3

The abbreviations used are: NSCLC, non-small cell lung carcinoma; MASA, mutant allele-specific amplification; TNM,Tumor-Node-Metastasis; IHC, immunohistochemistry; CK, cytokeratin.

Table 1

Clinicopathological parameters and micrometastases detected by genetic and immunohistochemical methods in NSCLCs with p53 or K-ras alterations

No. of patientsGenetic analysis, positive patientsPIHCa analysis, positive patients
No.%No.%P
Total 31 (29.0)  24  (77.4)  
Age (yr)        
Mean ± SD 60± 12 62± 12  0.63b 61± 13  0.44b 
Range 26−74 41−76   26−76   
Sex        
Male 24 (33.3) 0.32c 17  (63.0) 0.13c 
Female (14.3)  (100.0)  
Histology        
Adenocarcinoma 22 (22.7) 0.22c 15  (68.2) 0.06c 
Squamous cell carcinoma k9 (44.4)  (100.0)  
Differentiation        
Well (12.5) 0.20d  (62.5) 0.28d 
Moderately 16 (31.3)  13  (81.3)  
Poorly (42.9)   (85.7)  
Pathological stage        
IA 16 (18.8) 0.42d 11  (68.8) 0.18d 
IB (75.0)  (100.0)  
IIA  (0.0)   (0.0)  
IIB (40.0)  (100.0)  
IIIA  (0.0)  (100.0)  
IIIB (33.3)  (100.0)  
T statuse        
T1 18 (16.7) 0.19d 11  (61.1) 0.02d 
T2 (62.5)  (100.0)  
T3  (0.0)  (100.0)  
T4 (33.3)  (100.0)  
N statuse        
N0 22 (27.3) 0.53c 17  (77.3) 0.68c 
N1 (33.3)   (77.8)  
No. of patientsGenetic analysis, positive patientsPIHCa analysis, positive patients
No.%No.%P
Total 31 (29.0)  24  (77.4)  
Age (yr)        
Mean ± SD 60± 12 62± 12  0.63b 61± 13  0.44b 
Range 26−74 41−76   26−76   
Sex        
Male 24 (33.3) 0.32c 17  (63.0) 0.13c 
Female (14.3)  (100.0)  
Histology        
Adenocarcinoma 22 (22.7) 0.22c 15  (68.2) 0.06c 
Squamous cell carcinoma k9 (44.4)  (100.0)  
Differentiation        
Well (12.5) 0.20d  (62.5) 0.28d 
Moderately 16 (31.3)  13  (81.3)  
Poorly (42.9)   (85.7)  
Pathological stage        
IA 16 (18.8) 0.42d 11  (68.8) 0.18d 
IB (75.0)  (100.0)  
IIA  (0.0)   (0.0)  
IIB (40.0)  (100.0)  
IIIA  (0.0)  (100.0)  
IIIB (33.3)  (100.0)  
T statuse        
T1 18 (16.7) 0.19d 11  (61.1) 0.02d 
T2 (62.5)  (100.0)  
T3  (0.0)  (100.0)  
T4 (33.3)  (100.0)  
N statuse        
N0 22 (27.3) 0.53c 17  (77.3) 0.68c 
N1 (33.3)   (77.8)  
a

Immunohistochemistry.

b

Student’s t test.

c

Fisher’s exact probability test.

d

Mann-Whitney’s U test.

e

From TNM classification.

Table 2

p53 and K-ras mutations of primary tumors, primer sequences, and PCR conditions

No.MutationPrimer sequences 5′ - 3′
GeneExon (intron)CodonBase changeFirst round PCRMASAc
SenseAntisenseTempaCyclebSenseAntisenseTempaCycleb
K-ras  12 CGT to GTAGG CCT GCT GAA AAT GAC TG GTT GGA TCA TAT TCG TCC AC 53 45 CTT GTG GTA GTT GGA GCT GT GTT GGA TCA TAT TCG TCC AC 68 39 
p53 273 CGT to CTATC TAC TGG GAC GGA ACA GC CGT GGT GAG OCT CCC CTT TC 66 45 CGG AAC AGC TTT GAG GTG CT GTT GGA TCA TAT TCG TCC AC 70 40 
p53 273 CGT to TGT ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 GGA CGG AAC AGC TTT GAG GTG T CGT GGT GAG GCT CCC CTT TC 73 41 
p53 244 GGC to TGC GGC TCT GAC TGT ACC ACC AT TGG CAA CTG GCT CCT GAG CT 64 45 ATG TGT AAC AGT TCC TGC ATG T TGG CAA GTG GCT CCT GAC CT 70 35 
p53 (5) Acceptor ag G to atTCT GAT TCC TCA CTG ATT GC TTC TGT CAT CCA AAT ACT CC 57 45 TCC TCA CTG ATT GCT CTT AT TTC TGT CAT CCA AAT ACT CC 65 35 
p53 (6) Donor AG gt to AG aCTG TGG AGT ATT TGG ATG ACA G TTA ACC CCT CCT CCC AGA GA 62 45 CTG TGG AGT ATT TGG ATG ACA G CCC AGT TGC AAA CCA GAT 66.5 40 
p53 (8) Donor AG gt to AG tAGG AAG AGA ATC TCC GCA AG AGG CAT AAC TGC ACC CTT GG 58 45 AGG AAG AGA ATC TCC GCA AG GCT TCT TGT CCT GCT TGC TTA A 69 40 
p53 113-119 Del of 19 bp CTG TCA TCT TCT GTC CCT TC GCA ACT GAC CGT GCA AGT CA 57 45 CTG TCA TCT TCT GTC CCT TC GTC ACA GAC TTA AGC CCA GA 68 40 
p53 234 TAC to TGGGC TCT GAC TGT ACC ACC AT TGG CAA CTG GCT CCT GAC CT 64 45 GAC TGT ACC ACC ATC CAC TG TGG CAA GTG GCT CCT GAC CT 72 37 
10 p53 248 CGG to TGG GGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 45 GCA TGG GGG GCA TGA ACT TGG CAA CTG GCT CCT GAC CT 72 40 
11 p53 274 GTT to TTT ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 58 50 GAA CAG CTT TGA GGT GGG TT CGT GGT GAG GCT CCC CTT TC 70 40 
12 p53 175 CGC to CAGCG CCA TGG CCA TCT ACA AG CAG CCC TGT CGT CTC TCC AG 60 45 GCG CCA TGG CCA TCT ACA AG CGC TCA TGG TGG GGG CAG T 73 40 
13 p53 248 CGG to CAGGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 45 TGC ATG GGC GGC ATG AAC CA TGG CAA GTG GCT CCT GAC CT 76 38 
14 p53 273 CGT to CTATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 66 45 CGG AAC AGC TTT GAG GTG CT CGT GGT GAG GCT CCC CTT TC 70 40 
15 p53 275 TGT to TAATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 AGC TT GAG GTG CGT GTT TA CGT GGT GAG GCT CCC CTT TC 69 40 
16 p53 158 CGC to CTAAC TGG CCA AGA CCT GCC CT CCT CCG TCA TGT GCT GTG AC 63 45 AAC TGG CCA AGA CCT GCC CT CTT GTA GAT GGC CAT GGC GA 72 40 
17 p53 166 TCA to TAGCC AAG ACC TGC CCT GTG CA GCC TCA CAA CCT CCG TCA TG 62 45 GCC AAG ACC TGC CCT GTG CA AAC CTC CGT CAT GTG CTG TT 71 40 
18 p53 179-185 Del of 18 bp CAC AGC ACA TGA CGG AGG TT TGA GGA ATC AGA GGC CTG GG 64 45 CCC CAC CAC GAT GGT GAG TGA GGA ATC AGA GGC CTG GG 69.5 40 
19 p53  46 Ins of 16 bp ATC TAC AGT CCC CCT TGC CG TGG GAG CTT CAT CTG GAC CT 60 45 GAT GAT TTG ATG CTG TGA TG TGG GAG CTT CAT CTG GAC CT 64 40 
20 p53 213 CGA to TGA CCT CAC TGA TTG CTC TTA GG TCA TAG GGC ACC ACC ACA CT 60 45 CCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CA 69 40 
21 p53 195 ATC to ACCCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CG 60 45 GCC CCT CCT CAG CAT CTT AC GGC ACC ACC ACA CTA TGT CG 70 40 
22 p53 176 TGC to TTCAC AGC ACA TGA CGG AGG TT CAG CCC TGT CGT CTC TCC AG 62 45 GGA GGT TGT GAG GCG CTT CAG CCC TGT CGT CTC TCC AG 72 40 
23 p53 190 CCT to CCCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CG 60 45 TTG CTC TTA GGT CTG GCC CT GGC ACC ACC ACA CTA TGT CG 72 40 
24 p53 144 CAG to CCAAC TGG CCA AGA CCT GCC CT CCT CCG TCA TGT GCT GTG AC 62 45 CAA GAC CTG CCC TGT GCC CCT CCG TCA TGT GCT GTG AC 72 39 
25 p53 103 TAC to TAG CTG TCA TCT TCT GTC CCT TC GCA ACT GAC CGT GCA AGT CA 60 45 GTC CCT TCC CAG AAA ACC TAG GCA ACT GAC CGT GCA AGT CA 71 38 
26 p53 158 CGC to CAAAC TGG CCA AGA CCT GCC CT ACC ATC GCT ATC TGA GCA GC 62 50 CGG CAC CCG CGT CCA ACC ATC GCT ATC TGA GCA GC 71 40 
27 p53 238 TGT to AGT CCT GTG TTA TCT CCT AGG TT AGT GTG ATG ATG GTG AGG AT 57 45 CCT GTG TTA TCT CCT AGG TT CCA TGC AGG ACC TGT TAC T 63 40 
28 p53 282 CGG to TGG ATT TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 TGG CTG TCC TGG GAG AGA CT CGT GGT GAG GCT CCC CTT TC 71 40 
29 p53 271 GAG to TAG ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 ACT GGG ACG GAA CAG CTT TT CGT GGT GAG GCT CCC CTT TC 68 40 
30 p53 245 GGC to GTGGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 50 GGC TCT GAC TGT ACC ACC AT TGG GCC TCC GGT TCA TGA 69 40 
31 p53 259 GAC to AAC AGG CCC ATC CTC ACC ATC AT AGT AGT ATG GAA GAA ATC GG 52 50 TCA CCA TCA TCA CAC TGG AG AGT AGT ATG GAA GAA ATC GG 66 40 
No.MutationPrimer sequences 5′ - 3′
GeneExon (intron)CodonBase changeFirst round PCRMASAc
SenseAntisenseTempaCyclebSenseAntisenseTempaCycleb
K-ras  12 CGT to GTAGG CCT GCT GAA AAT GAC TG GTT GGA TCA TAT TCG TCC AC 53 45 CTT GTG GTA GTT GGA GCT GT GTT GGA TCA TAT TCG TCC AC 68 39 
p53 273 CGT to CTATC TAC TGG GAC GGA ACA GC CGT GGT GAG OCT CCC CTT TC 66 45 CGG AAC AGC TTT GAG GTG CT GTT GGA TCA TAT TCG TCC AC 70 40 
p53 273 CGT to TGT ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 GGA CGG AAC AGC TTT GAG GTG T CGT GGT GAG GCT CCC CTT TC 73 41 
p53 244 GGC to TGC GGC TCT GAC TGT ACC ACC AT TGG CAA CTG GCT CCT GAG CT 64 45 ATG TGT AAC AGT TCC TGC ATG T TGG CAA GTG GCT CCT GAC CT 70 35 
p53 (5) Acceptor ag G to atTCT GAT TCC TCA CTG ATT GC TTC TGT CAT CCA AAT ACT CC 57 45 TCC TCA CTG ATT GCT CTT AT TTC TGT CAT CCA AAT ACT CC 65 35 
p53 (6) Donor AG gt to AG aCTG TGG AGT ATT TGG ATG ACA G TTA ACC CCT CCT CCC AGA GA 62 45 CTG TGG AGT ATT TGG ATG ACA G CCC AGT TGC AAA CCA GAT 66.5 40 
p53 (8) Donor AG gt to AG tAGG AAG AGA ATC TCC GCA AG AGG CAT AAC TGC ACC CTT GG 58 45 AGG AAG AGA ATC TCC GCA AG GCT TCT TGT CCT GCT TGC TTA A 69 40 
p53 113-119 Del of 19 bp CTG TCA TCT TCT GTC CCT TC GCA ACT GAC CGT GCA AGT CA 57 45 CTG TCA TCT TCT GTC CCT TC GTC ACA GAC TTA AGC CCA GA 68 40 
p53 234 TAC to TGGGC TCT GAC TGT ACC ACC AT TGG CAA CTG GCT CCT GAC CT 64 45 GAC TGT ACC ACC ATC CAC TG TGG CAA GTG GCT CCT GAC CT 72 37 
10 p53 248 CGG to TGG GGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 45 GCA TGG GGG GCA TGA ACT TGG CAA CTG GCT CCT GAC CT 72 40 
11 p53 274 GTT to TTT ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 58 50 GAA CAG CTT TGA GGT GGG TT CGT GGT GAG GCT CCC CTT TC 70 40 
12 p53 175 CGC to CAGCG CCA TGG CCA TCT ACA AG CAG CCC TGT CGT CTC TCC AG 60 45 GCG CCA TGG CCA TCT ACA AG CGC TCA TGG TGG GGG CAG T 73 40 
13 p53 248 CGG to CAGGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 45 TGC ATG GGC GGC ATG AAC CA TGG CAA GTG GCT CCT GAC CT 76 38 
14 p53 273 CGT to CTATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 66 45 CGG AAC AGC TTT GAG GTG CT CGT GGT GAG GCT CCC CTT TC 70 40 
15 p53 275 TGT to TAATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 AGC TT GAG GTG CGT GTT TA CGT GGT GAG GCT CCC CTT TC 69 40 
16 p53 158 CGC to CTAAC TGG CCA AGA CCT GCC CT CCT CCG TCA TGT GCT GTG AC 63 45 AAC TGG CCA AGA CCT GCC CT CTT GTA GAT GGC CAT GGC GA 72 40 
17 p53 166 TCA to TAGCC AAG ACC TGC CCT GTG CA GCC TCA CAA CCT CCG TCA TG 62 45 GCC AAG ACC TGC CCT GTG CA AAC CTC CGT CAT GTG CTG TT 71 40 
18 p53 179-185 Del of 18 bp CAC AGC ACA TGA CGG AGG TT TGA GGA ATC AGA GGC CTG GG 64 45 CCC CAC CAC GAT GGT GAG TGA GGA ATC AGA GGC CTG GG 69.5 40 
19 p53  46 Ins of 16 bp ATC TAC AGT CCC CCT TGC CG TGG GAG CTT CAT CTG GAC CT 60 45 GAT GAT TTG ATG CTG TGA TG TGG GAG CTT CAT CTG GAC CT 64 40 
20 p53 213 CGA to TGA CCT CAC TGA TTG CTC TTA GG TCA TAG GGC ACC ACC ACA CT 60 45 CCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CA 69 40 
21 p53 195 ATC to ACCCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CG 60 45 GCC CCT CCT CAG CAT CTT AC GGC ACC ACC ACA CTA TGT CG 70 40 
22 p53 176 TGC to TTCAC AGC ACA TGA CGG AGG TT CAG CCC TGT CGT CTC TCC AG 62 45 GGA GGT TGT GAG GCG CTT CAG CCC TGT CGT CTC TCC AG 72 40 
23 p53 190 CCT to CCCT CAC TGA TTG CTC TTA GG GGC ACC ACC ACA CTA TGT CG 60 45 TTG CTC TTA GGT CTG GCC CT GGC ACC ACC ACA CTA TGT CG 72 40 
24 p53 144 CAG to CCAAC TGG CCA AGA CCT GCC CT CCT CCG TCA TGT GCT GTG AC 62 45 CAA GAC CTG CCC TGT GCC CCT CCG TCA TGT GCT GTG AC 72 39 
25 p53 103 TAC to TAG CTG TCA TCT TCT GTC CCT TC GCA ACT GAC CGT GCA AGT CA 60 45 GTC CCT TCC CAG AAA ACC TAG GCA ACT GAC CGT GCA AGT CA 71 38 
26 p53 158 CGC to CAAAC TGG CCA AGA CCT GCC CT ACC ATC GCT ATC TGA GCA GC 62 50 CGG CAC CCG CGT CCA ACC ATC GCT ATC TGA GCA GC 71 40 
27 p53 238 TGT to AGT CCT GTG TTA TCT CCT AGG TT AGT GTG ATG ATG GTG AGG AT 57 45 CCT GTG TTA TCT CCT AGG TT CCA TGC AGG ACC TGT TAC T 63 40 
28 p53 282 CGG to TGG ATT TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 TGG CTG TCC TGG GAG AGA CT CGT GGT GAG GCT CCC CTT TC 71 40 
29 p53 271 GAG to TAG ATC TAC TGG GAC GGA ACA GC CGT GGT GAG GCT CCC CTT TC 60 45 ACT GGG ACG GAA CAG CTT TT CGT GGT GAG GCT CCC CTT TC 68 40 
30 p53 245 GGC to GTGGC TCT GAC TGT ACC ACC AT TGG CAA GTG GCT CCT GAC CT 64 50 GGC TCT GAC TGT ACC ACC AT TGG GCC TCC GGT TCA TGA 69 40 
31 p53 259 GAC to AAC AGG CCC ATC CTC ACC ATC AT AGT AGT ATG GAA GAA ATC GG 52 50 TCA CCA TCA TCA CAC TGG AG AGT AGT ATG GAA GAA ATC GG 66 40 
a

Temperature of annealing and extension (°C).

b

PCR cycles.

c

Underlines indicate the mutation-specific sequences of mutant allele-specific primers.

Table 3

Details of micrometastases detected by genetic and immunohistochemical methods and clinicopathological parameters of patients with non-small-cell lung carcinomas

No.Age/SexHistaDiffbNo. of lymph nodesRestaging by N statuseOutcomeDays after surgeryCause of deathf
PositivePathological studyMASAcIHCd
ExaminedMASAcIHCdTNMStageNStageNStage
65/F Ad 1A IIIA IIA Dead 247 Bone metastasis 
48/M Ad 1A IIIA IIA Alive 2670  
56/M Ad 1A IIIA IIIA Dead 1618 Contralateral lung metastasis 
65/M Sq IB IIB IIIA Alive 2458  
41/M Ad IB IIB IIIA Dead 283 Brain metasis 
74/M Ad IB IIA IIIA Dead 1060 Contralateral lung metastasis 
64/M Ad IA − − − − Alive 2802  
69/M Ad 1A − − BA Dead 643 Respiratory failure 
58/M Ad IA − − − − Alive 3149  
10 37/F Ad IA − − IIA Alive 3076  
11 59/M Ad IA − − BA Alive 3051  
12 74/M Ad IA − − IIIA Alive 2319  
13 70/F Ad IA − − IIA Dead 2387 Thoracic empyema (aspergillosis) 
14 68/F Ad 1A − − IIIA Dead 2077 Gastric cancer 
15 65/M Ad IA − − − − Alive 2409  
16 54/M Ad IA − − IIIA Alive 2323  
17 69/M Sq IA − − IIIA Alive 2202  
18 50/M Ad IA − − − − Alive 2218  
19 55/M Ad IA − − − − Alive 2176  
20 49/F Ad IB − − IIB Alive 2099  
21 70/M Sq IIB − − IIIA Alive 2278  
22 26/F Ad IIIB − − IIIB Alive 2476  
23 63/M Sq IIB IIIA IIIA Dead 748 Ipsilateral lung tumor recurrence 
24 76/M Sq IIB IIIA IIIA Alive 1909  
25 71/M Sq IIIB IIIB IIIB Alive 2131  
26 60/M Ad IIA − − − − Alive 2752  
27 49/M Ad IIA − − − − Dead 1132 Brain metastasis 
28 75/M Sq IIB − − IIIA Alive 2165  
29 53/M Sq IIB − − IIIA Alive 2229  
30 68/M Sq IIIA − − IIIA Alive 2199  
31 73/M Ad IIIB − − IIIB Alive 3277  
Total 31 cases   229 34 61            
No.Age/SexHistaDiffbNo. of lymph nodesRestaging by N statuseOutcomeDays after surgeryCause of deathf
PositivePathological studyMASAcIHCd
ExaminedMASAcIHCdTNMStageNStageNStage
65/F Ad 1A IIIA IIA Dead 247 Bone metastasis 
48/M Ad 1A IIIA IIA Alive 2670  
56/M Ad 1A IIIA IIIA Dead 1618 Contralateral lung metastasis 
65/M Sq IB IIB IIIA Alive 2458  
41/M Ad IB IIB IIIA Dead 283 Brain metasis 
74/M Ad IB IIA IIIA Dead 1060 Contralateral lung metastasis 
64/M Ad IA − − − − Alive 2802  
69/M Ad 1A − − BA Dead 643 Respiratory failure 
58/M Ad IA − − − − Alive 3149  
10 37/F Ad IA − − IIA Alive 3076  
11 59/M Ad IA − − BA Alive 3051  
12 74/M Ad IA − − IIIA Alive 2319  
13 70/F Ad IA − − IIA Dead 2387 Thoracic empyema (aspergillosis) 
14 68/F Ad 1A − − IIIA Dead 2077 Gastric cancer 
15 65/M Ad IA − − − − Alive 2409  
16 54/M Ad IA − − IIIA Alive 2323  
17 69/M Sq IA − − IIIA Alive 2202  
18 50/M Ad IA − − − − Alive 2218  
19 55/M Ad IA − − − − Alive 2176  
20 49/F Ad IB − − IIB Alive 2099  
21 70/M Sq IIB − − IIIA Alive 2278  
22 26/F Ad IIIB − − IIIB Alive 2476  
23 63/M Sq IIB IIIA IIIA Dead 748 Ipsilateral lung tumor recurrence 
24 76/M Sq IIB IIIA IIIA Alive 1909  
25 71/M Sq IIIB IIIB IIIB Alive 2131  
26 60/M Ad IIA − − − − Alive 2752  
27 49/M Ad IIA − − − − Dead 1132 Brain metastasis 
28 75/M Sq IIB − − IIIA Alive 2165  
29 53/M Sq IIB − − IIIA Alive 2229  
30 68/M Sq IIIA − − IIIA Alive 2199  
31 73/M Ad IIIB − − IIIB Alive 3277  
Total 31 cases   229 34 61            
a

Histology: Ad,adenocarcinoma; Sq. squamous cell carcinoma.

b

Differentiation of the tumor: W,well differentiated; M, moderately differentiated; P, poorly differentiated.

c

Mutant allele-specific amplication method.

d

Immunohistochemistry.

e

−, negative by the method.

f

Underlines indicate relapse cases and initial site of relapse that was the cause of death.

We thank Drs. H. Sugano (Cancer Institute), Y. Nakamura(Institute of Medical Science, University of Tokyo), S. Sugai (Cancer Institute), and T. Kozu (Saitama Cancer Center Research Institute) for helpful advice and discussions. The technical assistance of T. Yoshikawa and Y. Yamaoka is gratefully acknowledged.

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