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Originally published as JCO Early Release 10.1200/JCO.2003.07.976 on September 24 2003 © 2003 American Society for Clinical Oncology
Early Detection of Lung Cancer Using Serum RNA or DNA Markers: Ready for
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Methylation-specific PCR techniques have been used to quantify the methylation of the promoter regions of a number of oncogenes.811 Four studies811 used this technology to assess the frequency of abnormalties in the plasma of lung cancer cases and controls. Usadel et al8 detected methylation of adenomatous polyposis coli (APC) in 95 (96%) of 99 cancers, primarily lung cancers, of which 47% had detectable amounts of methylated APC promoter DNA in plasma or serum. In contrast, no methylated APC promoter DNA was detected in serum samples from 50 healthy controls. However, other authors have reported far lower frequencies of methylated APC promoter DNA in primary lung cancers. Ramirez et al9 used similar techniques to assess promoter methylation of the TMS-1, RASSF1A, and DAPK genes and reported abnormalties in 34% to 40% of 50 lung cancer cases (Table 1
). Bearzatto et al10 used methylation-specific PCR to look for methylation of the p16 promoter in 35 patients. Methylation was found in 34%. Esteller et al11 combined methylation studies of four oncogenes and found that one or more were detectable in the plasma of 11 (50%) of 22 patients but in none of 11 controls.
Loss of heterozygosity and the presence of allele shifts indicating genomic instability have been studied in at least seven reports.4,10,1216 All series used two to five markers to increase the percentage of abnormal findings. Sozzi et al conducted allele shift analysis of D21S1245 with LOH of the FHIT locus, and found microsatellite alteration in 35 (40%) of 87 plasma samples.12 Bruhn et al,13 Cuda et al,14 and Chen et al15 each used three markers and reported microsatellite alterations in 33% of 43 cases, 61% of 28 cases, and 71% of 21 cases, respectively. These microsatellite alterations were not found in 41 controls. Gonzalez et al16 used four markers and found that a higher percent were abnormal (71% of 35 patients). However, Bearzatto et al10 and Sozzi et al5 used five markers and found alterations in only 32% and 24% of cases, respectively. There was no uniformity of the selection of the markers used in these studies.
Two studies looked for K-ras mutations in serum or plasma. Ramirez et al9 reported finding mutations in 12 of 50 cases, while Bearzatto et al10 found no mutations among 35 cases.
Given the diversity of findings in these studies, where do we go from here? The results from the study of Sozzi et al in this issue of the Journal of Clinical Oncology are certainly provocative, with a sensitivity of 78% and a specificity of 95%, at a cutoff of 15 ng/mL; however, several steps are necessary before such tests are ready for "prime time." Within the studies presented in Table 1
, there are many inconsistencies. For example, assays for hTERT varied in positivity from 25% to 69%, methylations of APC in the literature varies from 0% to more than 90%, K-ras mutations varied from 0% to 24%, and microsatellite alterations also varied considerably. These differences likely reflect variations in the manner of which the blood specimens were collected and handled, and variations in the methods by which the DNA/RNA assay were conducted. Thus, validation of collection and assay methods in different laboratories is critical. The cases and controls in these studies were not well matched. Pulmonary disease and changes in all epithelia induced by tobacco carcinogens should produce serum alterations. Thus, larger, better-matched control series are needed. A large, nested case-control series would be of considerable value.
Spiral computed tomography scanning is being assessed as another potential screening method for lung cancer in the National Lung Screening Trials (NLST) in the United States and in several trials in Europe. Serial blood samples are being collected in several, but not all of these trials (an unfortunate cost-cutting measure by the National Cancer Institute). When one of these DNA or RNA tests becomes validated by consistent results in several labs and confirmed in a large, matched control series, it will be important to study the samples being collected in the NLST and other spiral computed tomography trials to determine whether these serum analyses can help identify subjects at risk for lung cancer, compared with those with benign lesions. Serial analyses will be important in this regard. Ultimately, a prospective mortality reduction study like the National Cancer Institutes Prostate, Lung, Colorectal, and Ovarian screening trial will be necessary to validate the use of these markers to reduce lung cancer mortality.
Finally, there is the issue of using these assays to observe patients, to predict their clinical outcomes. In the study of Sozzi et al,3 35 cancer patients had a second analysis 3 to 15 months after surgery. Median DNA concentrations fell from 24.5 ng/mL to 8.4 ng/mL (P < .001) after surgery. However, DNA concentrations fell in four of the five subjects who relapsed, and rose in three of the 28 subjects without relapse. Follow-up, however, is short, and additional time and subjects will be necessary to further evaluate changing levels as a prognostic tool.
In summary, tests for DNA or RNA alterations in plasma have great potential for early detection and follow-up. This study by Sozzi et al is a step forward in developing such a test. However, for lung cancer, much needs to be done in validation, and much larger series must be completed before these tests are ready for prime time.
AUTHORS DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
The author indicated no potential conflicts of interest.
REFERENCES
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11. Esteller M, Sanchez-Cespedes M, Rosell R, et al: Detection of aberrant promoter hypermethylation of tumor suppressor genes in serum DNA from non-small cell lung cancer patients. Cancer Res 59:6770, 1999
12. Sozzi G, Musso K, Ratcliffe C, et al: Detection of microsatellite alterations in plasma DNA of non-small cell lung cancer patients: A prospect for early diagnosis. Clin Cancer Res 5:26892692, 1999
13. Bruhn N, Beinert T, Oehm C, et al: Detection of microsatellite alterations in the DNA isolated from tumor cells and from plasma DNA of patients with lung cancer. Ann N Y Acad Sci 906:7282, 2000[CrossRef][Medline]
14. Cuda G, Gallelli A, Nistico A, et al: Detection of microsatellite instability and loss of heterozygosity in serum DNA of small and non-small cell lung cancer patients: A tool for early diagnosis? Lung Cancer 30:211214, 2000[CrossRef][Medline]
15. Chen XQ, Stroun M, Magnenat JL, et al: Microsatellite alterations in plasma DNA of small cell lung cancer patients. Nat Med 2:10331035, 1996[CrossRef][Medline]
16. Gonzalez R, Silva JM, Sanchez A, et al: Microsatellite alterations and TP53 mutations in plasma DNA of small-cell lung cancer patients: Follow-up study and prognostic significance. Ann Oncol 11:10971104, 2000
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Copyright © 2003 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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