| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Advances in Brief |
Departments of Otolaryngology-Head and Neck Surgery, Head and Neck Cancer Research Division [H. U., C. J., S. H., J. E., D. S.] and Thoracic Surgery [S. Y.], Johns Hopkins University School of Medicine, Baltimore Maryland 21205-2196, and Department of Biochemistry and Molecular Biology and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90033 [J. B., K. D. D., P. V. D.]
| ABSTRACT |
|---|
|
|
|---|
| Introduction |
|---|
|
|
|---|
440 times more free DNA, compared with normal individuals (4)
. We and others have shown that it is possible to identify tumor-specific microsatellite alterations, p53, and ras gene mutations in the serum and/or plasma DNA of patients with different cancers (5
, 6, 7, 8)
. Silencing of tumor suppressor- or other cancer-associated genes by methylation of CpG islands, located in the promoter and/or 5'-regions of many genes, is a common feature of human cancer (9, 10, 11, 12) . CpG island methylation is often associated with a transcriptional block and loss of the relevant protein (13) . In addition to functional implications of gene inactivation in tumor development, these aberrant methylation patterns represent excellent targets for novel diagnostic approaches based on methylation sensitive PCR techniques.
Recently, aberrant promoter methylation of at least one of the genes p16, O6-methylguanine-DNA methyltransferase, glutathione S-transferase 1, and death-associated protein kinase was identified in 68% of NSCLC.3
The identical alterations were detectable in the serum of 73% of patients positive for methylated DNA in the primary tumor (14)
. These experiments were carried out using MSP. In this approach, DNA can be amplified using primer pairs designed to distinguish methylated from unmethylated DNA by taking advantage of sequence differences as a result of sodium-bisulfite treatment, where unmethylated Cytosines are converted to Uracil, and methylated Cytosines remain unconverted (15)
. An advancement of this technique permits reliable quantification of methylated DNA and is called real-time quantitative MSP. The method is based on the continuous optical monitoring of a fluorogenic PCR. This PCR approach is more sensitive (16)
than conventional PCR and more specific because of the use of an internally binding, fluorogenic hybridization probe. This PCR reaction provides additional quantitative information about the number of target sequences within a sample. Using EBV DNA as the target genome, real-time PCR has been shown to be useful for monitoring the progress of nasopharyngeal cancer and to assess the effects of treatment (17)
. Moreover, these approaches are amenable to high-throughput techniques allowing the analysis of 96 samples in
2 h without requirement for gel-electrophoresis.
The APC gene, mapped to chromosome 5q21 (18)
, plays a prominent role in the development of colorectal cancer both in the autosomal dominant inherited familial APC syndrome and in sporadic colorectal cancer (19, 20, 21)
. An impaired function of APC, most often attributable to mutations within the coding sequence of the gene, leads to a lack of degradation and nuclear accumulation of ß-catenin which acts as a transcriptional activator, causing loss of cell growth control (22)
. Although previous investigations reported loss of heterozygosity frequencies of
40% at 5q21 within or nearby the APC gene in NSCLCs, inactivating point mutations, at least in the mutation cluster region of the APC gene, were not detected in human lung cancer (23, 24, 25, 26)
. Therefore, as described in a subset of colorectal and other gastrointestinal cancers (27, 28, 29, 30)
, inactivation by promoter methylation could represent a putative mechanism of impairing APC gene function in lung cancer.
In the present study, we show a high frequency of promoter 1 A methylation of the APC gene in lung cancer. This APC promoter methylation was also detectable in matching serum and/or plasma samples from almost half of the individuals within our study population, providing a new approach for early diagnostic testing and precise monitoring of lung cancer. Moreover, we found that high levels of methylated APC DNA in tumor tissue are an independent predictive factor of poor survival.
| Materials and Methods |
|---|
|
|
|---|
|
Methylation-specific Real-time PCR.
Real-time quantitative PCR is based on the continuous monitoring of a progressive fluorogenic PCR by an optical system (31)
. This PCR system uses two amplification primers and an additional, amplicon-specific, and fluorogenic hybridization probe whose target sequence is located within the amplicon. The probe is labeled with two fluorescent dyes. One serves as a reporter on the 5'-end (FAM). Its emission spectrum is quenched by a second fluorescent dye at the 3'-end (TAMRA). If amplification occurs, the 5' to 3' exonuclease activity of the Taq DNA polymerase cleaves the reporter from the probe during the extension phase, thus releasing it from the quencher (32)
. The resulting increase in fluorescence emission of the reporter dye is monitored during the PCR process (Fig. 1)
.
|
Primers and probes were designed to specifically amplify either bisulfite-converted APC promoter 1 A DNA, in our case the gene of interest, or the internal reference gene MYOD1 (27)
. Primers and probes of the MYOD1 gene were located in an area without CpG nucleotides; thus, amplification of MYOD1 by MSP occurs independently of a CpG island methylation status, whereas the amplification of APC is proportional to the degree of cytosine methylation within the APC promoter. The methylation ratio was defined as the ratio of the fluorescence emission intensity values for the APC PCR products to those of the MYOD1 PCR products obtained by TaqMan analysis, multiplied by 100. This ratio (APC:MYOD1 x 100) was used as a measure for the relative level of methylated APC DNA in the particular sample (Fig. 1)
. PCR was performed in separate wells for each primer/probe set.
The amplicon size of the APC promoter MSP assay was 74 bp (position 761834, deposited at GenBank as accession no. U02509). Primers and probes covered 8 CpG dinucleotides within this CpG island. In all cases, the first primer is the forward PCR primer, the second is the reverse PCR primer, and the third is the TaqMan probe. The sequences were the following: (a) APC methylation-specific, 5'-GAA CCA AAA CGC TCC CCA T-3', 5'-TTA TAT GTC GGT TAC GTG CGT TTA TAT-3', 6FAM5'-CCC GTC GAA AAC CCG CCG ATT A-3'TAMRA; and (b) MYOD1, 5'-CCA ACT CCA AAT CCC CTC TCT AT-3', 5'-TGA TTA ATT TAG ATT GGG TTT AGA GAA GGA-3', 6FAM5'-TCC CTT CCT ATT CCT AAA TCC AAC CTA AAT ACC TCC-3'TAMRA.
Fluorogenic PCRs were carried out in a reaction volume of 25 µl using components of the TaqMan PCR Buffer A Pack (Perkin-Elmer Applied Biosystems, Foster City, CA). Fluorogenic probes were custom synthesized by Perkin-Elmer Applied Biosystems. PCR primers were synthesized by Life Technologies, Inc. (Gaithersburg, MD). Each PCR reaction mixture consisted of 600 nM each primer; 200 nM probe; 5 units of AmpliTaq Gold polymerase; 200 µM each dATP, dCTP, and dGTP; 400 µM dUTP; 5.5 mM MgCl2; and 1 x TaqMan Buffer A. Three µl of treated DNA solution (200 ng) was used in each real-time MSP reaction. Thermal cycling was initiated with a first denaturation step of 95°C for 10 min. The thermal profile for the PCR was 95°C for 15 s, and 60°C for 1 min. Data obtained during 50 cycles of amplification were analyzed.
Amplifications were carried out in 96-well plates in a 7700 Sequence detector (Perkin-Elmer Applied Biosystems). Each plate consisted of patient samples and multiple water blanks, as well as a positive and negative control. Serial dilutions of the APC promoter methylation-positive lung cancer cell line H157 were used for constructing the calibration curve on each plate. Dilution experiments showed linearity of amplification down to a dilution of 1:10.000 for methylated APC promoter DNA, as well as for unmethylated MYOD1 DNA representing 20 pg of target DNA. All data presented are within this linear range of amplification. The APC promoter methylation-negative fetal human epithelial lung cell line L132 was used as a negative control. To further verify the specificity of this methylation-specific real-time PCR assay, we treated 100 µg DNA of the APC promoter methylation-negative control cell line L132 in vitro with Sss I Methyltransferase, according to the manufacturers protocol (New England Biolabs, Inc., Beverly, MA). This enzyme adds methyl-groups to all CpG dinucleotides within the genomic DNA. Sodium-bisulfite treated DNA of in vitro methylated L132 DNA revealed positivity for APC promoter methylation compared with untreated cells (data not shown). All of the assays were performed at least twice.
Statistical Analysis.
Real-time PCR analyses yield values that are expressed as ratios between two absolute measurements (gene of interest:internal reference x 100). Medians and ranges were calculated for the methylation values of each sample. Associations between variables were tested by using the Wilcoxon signed rank test or the Mann-Whitney U test. The significance of rank ordering between variables was tested by using the Kruskal-Wallis ANOVA for ordinal data. The maximal
2 method was adapted to determine which methylation value best segregated patients into poor and good prognosis subgroups (in terms of likelihood of surviving; Refs. 33
and 34
). Survival was estimated according to Kaplan and Meier (35)
. Multivariate analysis was performed with the Cox proportional hazards regression model. The level of significance was set to P < 0.05. Analyses were carried out using the SPSS software package (Chicago, IL).
| Results |
|---|
|
|
|---|
|
Statistical analyses of the data using the Mann-Whitney U test revealed no significant differences between APC promoter methylation levels in tissue, serum and plasma, and common clinical or pathological parameters, such as histological subtype of lung cancer, grade, age, gender, smoking history, tumor size, lymph node status, and overall stage.
To determine whether different methylation levels in tumor tissue have prognostic value, we analyzed the available survival data for 93 lung cancer patients. Twenty-four patients (26%) died of recurrent disease, 4 (4%) from other causes. The median overall survival of the entire study population was 51.8 months. A methylation ratio of 32.7 in lung cancer tissue best segregated patients into good and bad prognosis subgroups. By this criterion, 70 of 93 (75%) patients had a low (
32.7) and 23 of 93 (25%) a high APC methylation level in lung cancer tissue. The median overall survival for patients with tissue APC methylation levels >32.7 was 32.4 months (95% confidence interval: 14.9 and 42.6), whereas the median survival for those with an APC methylation
32.7 was not reached. The resulting adjusted P was 0.006 for overall survival (Log-rank test; Fig. 3A
).
|
The importance of APC methylation in tumor tissues as a prognostic factor was next determined by the Cox proportional hazards model analysis. The logistic regression model included common clinical and pathological parameters, such as age, gender, histopathological type, tumor stage, grade of differentiation of the primary tumor, and APC methylation status. A very strong trend for stage as an independent prognostic factor was observed (P = 0.052), but only a high APC methylation level in tumor tissue was of independent prognostic importance (P = 0.015).
| Discussion |
|---|
|
|
|---|
The wide range of the amounts of methylated APC detectable in tumors is remarkable (Fig. 2)
. This variation may be attributable to the heterogeneity of tumors harboring cells with either methylated or unmethylated APC, as well as to differences in the stromal cell contamination within the tumors. Furthermore, we observed previously that APC promoter methylation is present in 87% of 91 matching histopathologically nonmalignant tissue samples from lung cancer patients (36)
. These methylation levels were significantly lower compared with the tumor tissues. Methylation of the APC promoter 1 A could be a tissue-specific epigenetic alteration, which occurs in normal lung tissues, like in other tissue types, i.e., normal gastric epithelium, or in lung tissue damaged by environmental factors, such as cigarette smoke (36
, 38) .
It is not clear if methylation levels in normal lung tissue or tumors lead to inactivation of APC. To better understand the relationship between different APC methylation levels and protein expression, quantitative real-time reverse transcriptase PCR of APC mRNA, as well as immunohistochemical studies, might uncover the distribution of cells, which do not express the APC protein within a lung tumor and the matching nonmalignant tissue. This approach would also lighten up the degree of heterogeneity within a single tumor.
Recent evidence suggests that CpG island methylation of the promoter region of certain genes in normal-appearing tissues may also be associated with aging (39) . In fact, higher APC methylation levels were observed in nonmalignant lung tissue from older lung cancer patients compared with normal lung tissue from a younger group of individuals without lung cancer (36) .
All these data suggest that APC promoter methylation plays a role in lung cancer but does not ultimately clarify if this alteration has more relevance in the initiation or in the progression of lung cancer.
Detection of APC Promoter Methylation in Serum and Plasma of Lung Cancer Patients.
Methylated APC promoter 1 A DNA was detected in about half of the patients with lung cancer from whom serum and/or plasma samples were available. None of the 50 serum controls showed APC methylation. The control population used in our investigation was not significantly different compared with our population of lung cancer patients. The age distribution of controls (median: 72 years) and lung cancer patients (median: 64.2 years) was comparable. The number of smokers was lower in the control group (62%) compared with the population of lung cancer patients. However, our results are consistent with a previous report in which none of 54 control serum samples from either healthy individuals or patients with gastritis or Barretts esophagus were positive for methylated APC DNA (30)
.
Our detection rate in serum/plasma parallels another investigation in which the frequency of detected methylated DNA for different genes in plasma was
50% of the detection rate found in the primary tumors (14)
. We found methylated APC DNA in the serum/plasma samples at all stages and primary tumor sizes of individuals with lung cancer. Therefore, this quantitative serum assay could potentially be used as a marker for early detection of lung cancer. In fact, we were able to detect methylated APC DNA in the serum from a patient with a primary tumor size of only 1 cm (APC:MYOD1 ratio x 100 = 0.51). We found no correlation between methylated APC DNA levels in the tumor tissue and corresponding levels in serum/plasma (correlation coefficient = 0.2). There are a number of possible reasons for this result, including specific physiological characteristics in the progression of each tumor, e.g., angiogenesis capacity or the ability to cause local thrombosis and necrosis. In addition, the quantity and quality of DNA template extracted from serum and/or plasma is likely to differ from the quality of the original tumor tissue, based on time of collection, the content of DNase, and other factors.
One important aspect of a quantitative analysis is the ability to follow changes longitudinally for each patient. We had the opportunity to collect plasma samples from 25 lung cancer patients during their clinical follow-up. Ten of these individuals were initially positive for methylated APC DNA in serum or plasma before surgery, and all turned negative after curative surgery. Four of these 25 developed recurrence, which was detected by rising levels of methylated APC in plasma. Three were initially negative in plasma before surgery, but all of the primary tumors were positive. Furthermore, APC methylation levels in one of these recurrent patients accurately accompanied repeated remissions and recurrence during different treatment approaches (data not shown).
Association of APC Promoter Methylation Levels with Survival.
We demonstrate here that the level of methylated APC promoter DNA in lung cancer tissue is predictive with regard to overall survival. Patients with high levels of methylated APC DNA (APC:MYOD1 ratio x 100 > 32.7) had the worst prognosis. This observation was not only significant in the Kaplan-Meier analysis (Fig. 3A)
but also turned out to be the only independent, predictive indicator of inferior survival. Tumors with the highest methylation levels may be those likely to inactivate APC resulting in loss of cellular growth control via the ß-catenin pathway. In particular, the striking consistency of the association of high APC methylation levels with inferior survival in our previous work (36)
suggests that APC promoter methylation has either functional effects or is at least influential within the tumor environment providing a powerful indicator of patients at high risk of recurrence.
We did not observe a correlation between levels of methylated APC in serum/plasma and survival (Fig. 3B)
. This result may be partially attributable to our choice of samples, because we extracted and analyzed free DNA within the circulation intentionally and not DNA from circulating tumor cells with a high potential for metastasis.
We have detected methylated APC promoter DNA in the serum/plasma of patients with lung cancer. Because this epigenetic alteration is ubiquitous in lung cancer cells and is amenable to quantification, it represents a novel approach for the diagnosis and monitoring of this disease. Large case-control studies are under way to determine the value of quantitative detection of methylated APC DNA in serum for the early detection and follow-up of lung cancer.
| FOOTNOTES |
|---|
1 Supported by NIH Grant Lung SPORE P50CA58184 and EDRN U01CA84986 and a Virco collaborate research agreement. H. U., J. B., and C. J. are supported by grants from the Dr. Mildred Scheel-Stiftung für Krebsforschung, Deutsche Krebshilfe, Germany, the Hubert Burda Foundation for Cancer Research, Germany, and the Fundação para a Ciência e Tecnologia, Portugal (Program PRAXIS XXI-BD 13398/97), respectively. Under a licensing agreement between The Johns Hopkins University and Virco, Dr. Sidransky is entitled to a share of royalty received by the University on sales or products described in this article. The University and Dr. Sidransky own Virco stock, which is subject to certain restrictions under University policy. Dr. Sidransky is a paid consultant to Virco. The terms of this arrangement are being managed by The Johns Hopkins University in accordance with its conflict of interest policies. ![]()
2 To whom requests for reprints should be addressed, at the Head and Neck Cancer Research Division, The Johns Hopkins University School of Medicine, 818 Ross Research Building, 720 Rutland Avenue, Baltimore, MD 21205-2196. E-mail: dsidrans{at}jhmi.edu ![]()
3 The abbreviations used are: NSCLC, non-small cell lung cancer; APC, adenomatous polyposis coli; MSP, methylation-specific PCR. ![]()
Received 9/17/01. Accepted 11/28/01.
| REFERENCES |
|---|
|
|
|---|
2 statistics. Biometrics, 38: 1011-1016, 1982.
2 statistics for small samples. Biometrics, 38: 1017-1023, 1982.
This article has been cited by other articles:
![]() |
N. Shivapurkar, V. Stastny, Y. Xie, C. Prinsen, E. Frenkel, B. Czerniak, F. B. Thunnissen, J. D. Minna, and A. F. Gazdar Differential Methylation of a Short CpG-Rich Sequence within Exon 1 of TCF21 Gene: A Promising Cancer Biomarker Assay Cancer Epidemiol. Biomarkers Prev., April 1, 2008; 17(4): 995 - 1000. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. L. Carvalho, C. Jeronimo, M. M. Kim, R. Henrique, Z. Zhang, M. O. Hoque, S. Chang, M. Brait, C. S. Nayak, W.-W. Jiang, et al. Evaluation of Promoter Hypermethylation Detection in Body Fluids as a Screening/Diagnosis Tool for Head and Neck Squamous Cell Carcinoma Clin. Cancer Res., January 1, 2008; 14(1): 97 - 107. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. S. Kim, K. Yamashita, Y. K. Chae, Y. Tokumaru, X. Chang, M. Zahurak, M. Osada, H. L. Park, A. Chuang, J. A. Califano, et al. A Promoter Methylation Pattern in the N-Methyl-D-Aspartate Receptor 2B Gene Predicts Poor Prognosis in Esophageal Squamous Cell Carcinoma Clin. Cancer Res., November 15, 2007; 13(22): 6658 - 6665. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Henrique, F. R. Ribeiro, D. Fonseca, M. O. Hoque, A. L. Carvalho, V. L. Costa, M. Pinto, J. Oliveira, M. R. Teixeira, D. Sidransky, et al. High Promoter Methylation Levels of APC Predict Poor Prognosis in Sextant Biopsies from Prostate Cancer Patients Clin. Cancer Res., October 15, 2007; 13(20): 6122 - 6129. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Kagan, S. Srivastava, P. E. Barker, S. A. Belinsky, and P. Cairns Towards Clinical Application of Methylated DNA Sequences as Cancer Biomarkers: A Joint NCI's EDRN and NIST Workshop on Standards, Methods, Assays, Reagents and Tools Cancer Res., May 15, 2007; 67(10): 4545 - 4549. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Munson, J. Clark, K. Lamparska-Kupsik, and S. S. Smith Recovery of bisulfite-converted genomic sequences in the methylation-sensitive QPCR Nucleic Acids Res., May 14, 2007; 35(9): 2893 - 2903. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Cairns Measurements of Gene Methylation in Cancer Am. Assoc. Cancer Res. Educ. Book, April 14, 2007; 2007(1): 189 - 193. [Full Text] [PDF] |
||||
![]() |
C. A. Righini, F. de Fraipont, J.-F. Timsit, C. Faure, E. Brambilla, E. Reyt, and M.-C. Favrot Tumor-Specific Methylation in Saliva: A Promising Biomarker for Early Detection of Head and Neck Cancer Recurrence Clin. Cancer Res., February 15, 2007; 13(4): 1179 - 1185. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Model, N. Osborn, D. Ahlquist, R. Gruetzmann, B. Molnar, F. Sipos, O. Galamb, C. Pilarsky, H.-D. Saeger, Z. Tulassay, et al. Identification and Validation of Colorectal Neoplasia-Specific Methylation Markers for Accurate Classification of Disease Mol. Cancer Res., February 1, 2007; 5(2): 153 - 163. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Widschwendter and U. Menon Circulating Methylated DNA: A New Generation of Tumor Markers Clin. Cancer Res., December 15, 2006; 12(24): 7205 - 7208. [Full Text] [PDF] |
||||
![]() |
J. Gu, D. Berman, C. Lu, I. I. Wistuba, J. A. Roth, M. Frazier, M. R. Spitz, and X. Wu Aberrant Promoter Methylation Profile and Association with Survival in Patients with Non-Small Cell Lung Cancer Clin. Cancer Res., December 15, 2006; 12(24): 7329 - 7338. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. K. Pathak, M. Bhutani, S. Kumar, A. Mohan, and R. Guleria Circulating Cell-Free DNA in Plasma/Serum of Lung Cancer Patients as a Potential Screening and Prognostic Tool Clin. Chem., October 1, 2006; 52(10): 1833 - 1842. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. O. Hoque, Q. Feng, P. Toure, A. Dem, C. W. Critchlow, S. E. Hawes, T. Wood, C. Jeronimo, E. Rosenbaum, J. Stern, et al. Detection of Aberrant Methylation of Four Genes in Plasma DNA for the Detection of Breast Cancer J. Clin. Oncol., September 10, 2006; 24(26): 4262 - 4269. [Abstract] [Full Text] [PDF] |
||||
![]() |
X. XUE, Y. M ZHU, and P. J WOLL Circulating DNA and Lung Cancer. Ann. N.Y. Acad. Sci., September 1, 2006; 1075: 154 - 164. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. Foltz, G.-Y. Ryu, J.-G. Yoon, T. Nelson, J. Fahey, A. Frakes, H. Lee, L. Field, K. Zander, Z. Sibenaller, et al. Genome-Wide Analysis of Epigenetic Silencing Identifies BEX1 and BEX2 as Candidate Tumor Suppressor Genes in Malignant Glioma. Cancer Res., July 1, 2006; 66(13): 6665 - 6674. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. S. Kim, K. Yamashita, J. H. Baek, H. L. Park, A. L. Carvalho, M. Osada, M. O. Hoque, S. Upadhyay, M. Mori, C. Moon, et al. N-methyl-D-aspartate receptor type 2B is epigenetically inactivated and exhibits tumor-suppressive activity in human esophageal cancer. Cancer Res., April 1, 2006; 66(7): 3409 - 3418. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Yamashita, H. L. Park, M. S. Kim, M. Osada, Y. Tokumaru, H. Inoue, M. Mori, and D. Sidransky PGP9.5 Methylation in Diffuse-Type Gastric Cancer. Cancer Res., April 1, 2006; 66(7): 3921 - 3927. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Cairns Serum-Based Detection of Gene Hypermethylation in Cancers of the Breast and Ovary Am. Assoc. Cancer Res. Educ. Book, April 1, 2006; 2006(1): 202 - 204. [Full Text] [PDF] |
||||
![]() |
R. M. Brena, H. Auer, K. Kornacker, B. Hackanson, A. Raval, J. C. Byrd, and C. Plass Accurate quantification of DNA methylation using combined bisulfite restriction analysis coupled with the Agilent 2100 Bioanalyzer platform Nucleic Acids Res., February 7, 2006; 34(3): e17 - e17. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Schatz, J. Distler, K. Berlin, and M. Schuster Novel method for high throughput DNA methylation marker evaluation using PNA-probe library hybridization and MALDI-TOF detection. Nucleic Acids Res., January 1, 2006; 34(8): e59 - e59. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Henrique, C. Jeronimo, M. R. Teixeira, M. O. Hoque, A. L. Carvalho, I. Pais, F. R. Ribeiro, J. Oliveira, C. Lopes, and D. Sidransky Epigenetic Heterogeneity of High-Grade Prostatic Intraepithelial Neoplasia: Clues for Clonal Progression in Prostate Carcinogenesis Mol. Cancer Res., January 1, 2006; 4(1): 1 - 8. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Rosenbaum, M. O. Hoque, Y. Cohen, M. Zahurak, M. A. Eisenberger, J. I. Epstein, A. W. Partin, and D. Sidransky Promoter Hypermethylation as an Independent Prognostic Factor for Relapse in Patients with Prostate Cancer Following Radical Prostatectomy Clin. Cancer Res., December 1, 2005; 11(23): 8321 - 8325. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Schmiemann, A. Bocking, M. Kazimirek, A. S. C. Onofre, H. E. Gabbert, R. Kappes, C. D. Gerharz, and H. J. Grote Methylation Assay for the Diagnosis of Lung Cancer on Bronchial Aspirates: A Cohort Study Clin. Cancer Res., November 1, 2005; 11(21): 7728 - 7734. [Abstract] [Full Text] [PDF] |
||||