BACKGROUND: Circulating DNA is observed at higher concentrations in patients with lung cancer than in controls. Qualitative and quantitative analysis of circulating DNA is a promising noninvasive tool. Our aim was to prospectively study the association between the catalytic subunit of telomerase (human telomerase reverse transcriptase [hTERT]) in plasma and clinical variables and survival in a large-scale non-small cell lung cancer (NSCLC) study. METHODS: Four hundred forty-six patients with stages IIIB and IV NSCLC with a median follow-up of 9.7 months (range, 0.5-45) were analyzed. Blood samples were collected before therapy start (cisplatin/docetaxel). Quantification of baseline circulating DNA was determined as the amount of free hTERT in plasma, by using real-time quantitative polymerase chain reaction. RESULTS: Patients with hTERT ≤ 49.8 ng/ml (median value) had a median time to progression (TTP) of 6.3 months compared with 4.9 for hTERT more than 49.8 ng/ml (p = 0.001). Overall survival (OS) was significantly higher (10.9 versus 9.3 months) at lower hTERT levels (p = 0.012). When calculations were done using hTERT as continuous variable, we did not observe independent significant differences. Thus, there is an apparent discrepancy in p values when hTERT is considered as a continuous versus dichotomized variable. There was a tendency to differentiate median hTERT levels with respect to response rates (complete response + partial response: 33.1 versus stable disease + progressive disease: 50.7 ng/ml, p = 0.12), but other clinical variables such as age, gender, performance status, stage, histology, and number of metastatic locations were not associated with hTERT. In multivariate analysis, hTERT was an independent prognostic variable for both TTP (hazard ratio: 1.44, p < 0.001) and OS (hazard ratio: 1.33, p = 0.007). CONCLUSIONS: In advanced NSCLC, high pretreatment circulating hTERT level is an independent poor prognostic marker for TTP and OS. Circulating DNA is a noninvasive marker, which may help to improve the prognostic profile of these patients.
BACKGROUND: Circulating DNA is observed at higher concentrations in patients with lung cancer than in controls. Qualitative and quantitative analysis of circulating DNA is a promising noninvasive tool. Our aim was to prospectively study the association between the catalytic subunit of telomerase (human telomerase reverse transcriptase [hTERT]) in plasma and clinical variables and survival in a large-scale non-small cell lung cancer (NSCLC) study. METHODS: Four hundred forty-six patients with stages IIIB and IV NSCLC with a median follow-up of 9.7 months (range, 0.5-45) were analyzed. Blood samples were collected before therapy start (cisplatin/docetaxel). Quantification of baseline circulating DNA was determined as the amount of free hTERT in plasma, by using real-time quantitative polymerase chain reaction. RESULTS:Patients with hTERT ≤ 49.8 ng/ml (median value) had a median time to progression (TTP) of 6.3 months compared with 4.9 for hTERT more than 49.8 ng/ml (p = 0.001). Overall survival (OS) was significantly higher (10.9 versus 9.3 months) at lower hTERT levels (p = 0.012). When calculations were done using hTERT as continuous variable, we did not observe independent significant differences. Thus, there is an apparent discrepancy in p values when hTERT is considered as a continuous versus dichotomized variable. There was a tendency to differentiate median hTERT levels with respect to response rates (complete response + partial response: 33.1 versus stable disease + progressive disease: 50.7 ng/ml, p = 0.12), but other clinical variables such as age, gender, performance status, stage, histology, and number of metastatic locations were not associated with hTERT. In multivariate analysis, hTERT was an independent prognostic variable for both TTP (hazard ratio: 1.44, p < 0.001) and OS (hazard ratio: 1.33, p = 0.007). CONCLUSIONS: In advanced NSCLC, high pretreatment circulating hTERT level is an independent poor prognostic marker for TTP and OS. Circulating DNA is a noninvasive marker, which may help to improve the prognostic profile of these patients.
Authors: Re-I Chin; Kevin Chen; Abul Usmani; Chanelle Chua; Peter K Harris; Michael S Binkley; Tej D Azad; Jonathan C Dudley; Aadel A Chaudhuri Journal: Mol Diagn Ther Date: 2019-06 Impact factor: 4.074
Authors: B T Li; A Drilon; M L Johnson; M Hsu; C S Sima; C McGinn; H Sugita; M G Kris; C G Azzoli Journal: Ann Oncol Date: 2015-10-20 Impact factor: 32.976
Authors: Clemens Hufnagl; Michael Leisch; Lukas Weiss; Thomas Melchardt; Martin Moik; Daniela Asslaber; Geisberger Roland; Philipp Steininger; Thomas Meissnitzer; Daniel Neureiter; Richard Greil; Alexander Egle Journal: Oncol Lett Date: 2019-12-09 Impact factor: 2.967