Prognostic implication of microsatellite alteration profiles in early-stage non-small cell lung cancer. 2000

X Zhou, and B L Kemp, and F R Khuri, and D Liu, and J J Lee, and W Wu, and W K Hong, and L Mao
Department of Thoracic/Head and Neck Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston 77030, USA.

Development of non-small cell lung cancer (NSCLC) is a result of multiple accumulated genetic abnormalities. Profiles of genetic abnormalities may determine tumor behavior and impact on patient outcome. We used microsatellite markers at 3p14, 9p21, and 10q24 to analyze tumor samples from 91 patients with pathologically confirmed stage I NSCLC for microsatellite alterations. Loss of heterozygosity at any single locus was not significantly associated with length of survival. However, patients whose tumors had microsatellite instability (MI) at 10q24 had shortened disease-specific survival. Among 31 such patients, 32% (10 of 31 patients) had died of the disease within 5 years after surgery compared with 16% (9 of 58 patients) without MI at 10q24 (P = 0.07). Interestingly, in the adenocarcinoma subtype, 71% (5 of 7 patients) of the patients with MI at 10q24 succumbed to the disease as compared with only 12% (3 of 26) of the adenocarcinoma patients without such MI (P < 0.001), suggesting the presence of distinct mechanisms in tumorigenesis among different subtypes of lung cancer. It has been noticed that certain microsatellite alteration profiles provide additional values for risk assessment. Of 23 patients who had MI at 10q24 and an alteration at 3p14, 39% (9 of 23 patients) died of the disease within 5 years as compared with only 15% (10 of 66 patients) of the patients without such a profile (P = 0.02). Strikingly, among the 22 patients with no alteration at any loci tested or with loss of heterozygosity at 10q24 and retention of at least one of the other two loci, none died of lung cancer within 5 years after surgery, whereas 28% (19 of 67 patients) of the patients outside these profiles did so (P = 0.01). Our results support the hypothesis that microsatellite alterations can be used as biomarkers for the genetic classification of pathological stage I NSCLC, which may in turn influence treatment decisions dependent on an accurate forecast of patient survival time.

UI MeSH Term Description Entries
D008175 Lung Neoplasms Tumors or cancer of the LUNG. Cancer of Lung,Lung Cancer,Pulmonary Cancer,Pulmonary Neoplasms,Cancer of the Lung,Neoplasms, Lung,Neoplasms, Pulmonary,Cancer, Lung,Cancer, Pulmonary,Cancers, Lung,Cancers, Pulmonary,Lung Cancers,Lung Neoplasm,Neoplasm, Lung,Neoplasm, Pulmonary,Pulmonary Cancers,Pulmonary Neoplasm
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D002289 Carcinoma, Non-Small-Cell Lung A heterogeneous aggregate of at least three distinct histological types of lung cancer, including SQUAMOUS CELL CARCINOMA; ADENOCARCINOMA; and LARGE CELL CARCINOMA. They are dealt with collectively because of their shared treatment strategy. Carcinoma, Non-Small Cell Lung,Non-Small Cell Lung Cancer,Non-Small Cell Lung Carcinoma,Non-Small-Cell Lung Carcinoma,Nonsmall Cell Lung Cancer,Carcinoma, Non Small Cell Lung,Carcinomas, Non-Small-Cell Lung,Lung Carcinoma, Non-Small-Cell,Lung Carcinomas, Non-Small-Cell,Non Small Cell Lung Carcinoma,Non-Small-Cell Lung Carcinomas
D002294 Carcinoma, Squamous Cell A carcinoma derived from stratified SQUAMOUS EPITHELIAL CELLS. It may also occur in sites where glandular or columnar epithelium is normally present. (From Stedman, 25th ed) Carcinoma, Epidermoid,Carcinoma, Planocellular,Carcinoma, Squamous,Squamous Cell Carcinoma,Carcinomas, Epidermoid,Carcinomas, Planocellular,Carcinomas, Squamous,Carcinomas, Squamous Cell,Epidermoid Carcinoma,Epidermoid Carcinomas,Planocellular Carcinoma,Planocellular Carcinomas,Squamous Carcinoma,Squamous Carcinomas,Squamous Cell Carcinomas
D002874 Chromosome Mapping Any method used for determining the location of and relative distances between genes on a chromosome. Gene Mapping,Linkage Mapping,Genome Mapping,Chromosome Mappings,Gene Mappings,Genome Mappings,Linkage Mappings,Mapping, Chromosome,Mapping, Gene,Mapping, Genome,Mapping, Linkage,Mappings, Chromosome,Mappings, Gene,Mappings, Genome,Mappings, Linkage
D002879 Chromosomes, Human, Pair 10 A specific pair of GROUP C CHROMOSOMES of the human chromosome classification. Chromosome 10

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