Abstract
Background
Accumulating evidence suggests that short telomere length is associated with increased overall mortality, but the relationship with cancer mortality is less clear. We examined whether telomere length (global, and chromosome arm 5p- and 13q-specific) is associated with lung cancer mortality among cases from the Beta Carotene and Retinol Efficacy Trial of heavy smokers.
Methods
Telomere length was measured on average six years before diagnosis for 788 lung cancer cases. Adjusted Cox proportional hazards models of all-cause and lung cancer-specific mortality were assessed for lung cancer overall and by histotype.
Results
Short telomere length was associated with increased mortality for small cell lung cancer (SCLC), particularly stage III/IV SCLC (hazard ratio and 95% confidence interval for shortest versus longest telomere length tertile: 3.32 (1.78–6.21)). Associations were strongest for those randomized to the active intervention and when telomere length was measured ≤5 years before diagnosis. All-cause mortality patterns were similar. Short chromosome 5p telomere length was suggestively associated with lung cancer mortality, but there was no association with chromosome 13q telomere length.
Conclusions
Our large prospective study suggests that among heavy smokers who developed lung cancer, short pre-diagnosis telomere length is associated with increased risk of death from SCLC.
Impact
This is the first study to examine telomere length and mortality in lung cancer cases by histotype. If the association between short telomere length and SCLC mortality is replicated, elucidation of mechanisms through which telomere length influences survival for this highly aggressive cancer may inform more effective use of telomere-targeted therapeutics.
Introduction
Lung cancer is the leading cause of cancer death worldwide, with over one million deaths annually (1). More Americans die from lung cancer than prostate, breast, and colorectal cancers combined (2). Molecular markers of prognosis and treatment efficacy could help to improve outcomes for lung cancer, for which five-year survival is only 18% (3).
Telomeres are chromatin structures that cap chromosome ends, protecting them from erroneous recognition as double strand DNA breaks, inappropriate enzymatic degradation, and end-to-end fusions (4). They shorten with each cell division, and when they reach a critically short length, they trigger apoptosis or cellular senescence (5). Telomere length provides a measure of the cumulative effects of both intrinsic and extrinsic processes on telomere homeostasis (6). Different chromosomes and chromosome arms of the same chromosome have varying telomere length (7–9). The closest gene to the telomere of chromosome arm 5p is TERT, which encodes the catalytic subunit of the enzyme telomerase that maintains telomeres. It is hypothesized that TERT may autoregulate its influence on telomere length by interacting with the chromosome 5p telomere (10). Chromosome 13q is of interest because it contains the cell cycle checkpoint gene RB1. Abrogated cell cycle checkpoint genes like RB1 may allow damaged cells to escape from senescence, which may result in increased cellular proliferation when combined with telomere maintenance (11).
Short peripheral blood telomere length is reported to be associated with increased all-cause mortality in many (12–24) but not all (25–31) studies—including null associations observed in the very old (32–37). The association with overall cancer mortality is less clear. While some studies have observed that short peripheral blood telomere length is associated with cancer mortality (17, 38, 39), others have not (13–15, 25–27, 34, 36); however, many of these studies were not designed to evaluate cancer mortality as a primary endpoint. A recent meta-analysis of 13 studies of non-hematologic malignancies observed that short peripheral blood telomere length (measured in some studies before diagnosis and after in others) is associated with increased mortality (40). Only three studies have examined peripheral blood telomere length and survival after lung cancer diagnosis (39, 41, 42). Weischer et al. observed that shorter telomere length measured prior to diagnosis is associated with increased mortality in lung cancer cases from their population-based Danish cohort (39). Similar suggestive associations were observed by Lee et al. in their cohort of smokers with chronic obstructive pulmonary disease (COPD) (41). The study by Kim et al. reported that long telomere length, measured at diagnosis in early stage non-small cell lung cancer (NSCLC) cases, is associated with increased risk of recurrence after curative resection (42). In the present study, we examine associations between telomere length (global, and chromosome arm 5p- and 13q-specific), measured on average six years prior to lung cancer diagnosis, and all-cause and lung cancer-specific mortality in a cohort of heavy smokers who developed lung cancer.
Materials and Methods
Study population
This study includes lung cancer cases from a nested case-control study conducted within the multicenter β-Carotene and Retinol Efficacy Trial (CARET) (43), a randomized, double-blinded, placebo-controlled chemoprevention trial of daily supplementation with β-carotene and retinyl palmitate among very heavy smokers (44–46). Current or former smokers (i.e., quit within six years) with a ≥20 pack year history, ages 50–69 years, were eligible for the trial (n=14,254). Men with substantial occupational asbestos exposure, ages 45–69 years, and current or former heavy smokers (i.e., quit within fifteen years), were also eligible (n=4,060). Participants completed annual questionnaires with information about smoking history and other risk factors, and blood samples were collected between 1994 and 1997. The intervention was stopped in 1996 after observing higher lung cancer incidence and overall mortality in the intervention compared to the placebo arm. Active participant follow-up for lung cancer and other outcomes continued until 2005, with cancer and death reports confirmed by thorough review of clinical records, pathology reports, and death certificates. Passive follow-up from linkages with two state cancer registries (Washington State Cancer Registry; Connecticut Tumor Registry) and the National Death Index (NDI) extended follow-up for endpoints through 2013. The original nested case-control study identified cases using endpoint information collected during active participant follow-up (between 1985 and 2005) (43). Cases were eligible for that study if they were lung cancer-free at blood draw (n=793). Of those eligible, five cases who had been incorrectly diagnosed with lung cancer and one case with discordant sex information after genotyping were excluded, resulting in 787 cases. Another 38 cases did not have enough DNA for telomere length assays, leaving 749 cases. Among the 1,441 controls with sufficient DNA from the original case-control study, selected based on follow-up through 2005, 89 subsequently developed lung cancer. We included these cases in the present study for a total of 838 lung cancer cases. Each of the participating CARET institution’s Institutional Review Boards approved all study protocols, and written informed consent was provided by all participants.
Laboratory Methods
QIAamp DNA Blood Midi kits (Qiagen, Valencia, USA) were used to extract DNA from blood samples according to manufacturer’s instructions. We measured global relative telomere length using two independent singleplex quantitative polymerase chain reaction (qPCR) assays, one for telomere repeats and one for a single copy of hemoglobin subunit beta (HBB; the control gene), in a method modified from Aviv et al. (47) and Cawthon et al. (48). Telomere to single-copy control gene ratio (T/S) were determined using the approach of McGrath et al. (49) and normalized per Aviv et al. (47). All samples were measured in duplicate on two separate runs. If there was >7% difference in normalized T/S ratios for a sample, it was assayed a third time and the average of the two closest values was used. Average coefficients of variation for the positive controls was 8.8% over 37 assay runs.
We designed primers to assay 5p and 13q chromosome arm-specific telomere length using a modified STELA protocol (50). We created target sequence-specific primers using a genomic alignment tool (http://www.genome.ucsc.edu) and Repeatmasker (http://www.repeatmasker.org) due to high homology in the subtelomere region, adjacent to the telomere. Specificity was confirmed by sequencing the fragment. Primers were designed for a two-step process that first uses a long PCR to amplify the specific chromosome arm from the subtelomere to the telomere end, followed by qPCR to target regions unique to the subtelomere and the telomere repeat. The Ct value of subtelomere, used as the single copy (S), and the Ct value of the targeted region were used to calculate the T/S ratio. Cq values of samples run in duplicate were evaluated; samples were re-tested if the Cq standard deviation was >0.3. If the standard deviation remained >0.3 in the repeated run, the values were averaged. Positive controls included on every plate were used to adjust final Cq data for the telomere and telomere adjacent runs.
Samples with low DNA concentration (n=41) and outliers (n=9) were excluded, leaving 788 cases in analyses of global telomere length. For the chromosome 5p and 13q assays, 82 and 73 cases did not pass quality control, leaving 756 and 765 cases for analyses, respectively. Additional methods details are available in Doherty et al. (51).
Statistical Analyses
We evaluated Spearman correlations between continuous global, 5p, and 13q telomere length and age (years), pack years, cigarettes per day, and body mass index (kg/m2). Log2-transformed global, 5p, and 13q relative telomere length were evaluated as categorical variables (split at tertiles, quintiles, and deciles based on all lung cancers). The log-rank test was used to evaluate whether survival differed by tertile of telomere length, and the Kruskal-Wallis test was used to evaluate pairwise differences in the median survival times between the telomere length tertiles. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for increasing quantiles of telomere length and lung cancer-specific and all-cause mortality overall, and separately by adenocarcinoma, squamous cell carcinoma, and SCLC histotypes. The “All lung cancer cases” category includes cases with adenocarcinoma, squamous cell carcinoma, and SCLC, as well as 328 cases for whom histotype was specified only as: NSCLC, NOS; other NSCLC; unknown, or missing. HRs and 95% CIs were adjusted for age, sex, race/ethnicity, smoking status, pack years, asbestos exposure, enrollment year, and intervention arm. Stage was only available for a subset of 505 lung cancer cases, 147 adenocarcinoma, 125 squamous cell, and 91 SCLC, so we performed separate analyses additionally adjusting for stage. Linear trend across telomere length quantiles was evaluated by including an ordinal term (treated as continuous) in the model. The proportional hazards assumption was evaluated using Schoenfeld’s global test. Subgroup analyses of telomere length and mortality based on age, smoking status, sex, study arm, stage, pack years, and time between blood draw and lung cancer diagnosis were performed. Tests for statistical significance were two-sided, and a p-value cutoff with a Bonferroni correction of 7 (the number of subgroups examined) was used (0.05/7=0.007). All analyses were performed in SAS (version 9.4; SAS, Cary, NC).
Results
Characteristics of lung cancer cases at the time of blood draw are presented in Table 1. Briefly, cases were aged 64.2 years on average and the majority were white (95%), male (65%), and current smokers (66%). Participants were followed on average 7.9 years from blood draw through lung cancer diagnosis and ultimately until death or the end of the study period. The time between blood draw and any lung cancer diagnosis was 5.9 years, on average. History of asbestos exposure was highest for squamous cell carcinoma (21%) and lowest for SCLC (13%). Age at blood draw was inversely associated with global, but not chromosome 5p or 13q, telomere length (Spearman correlation −0.11, p=0.002). An inverse association with BMI was observed for chromosome 13q telomere length only (Spearman correlation 0.09, p=0.02). There were no statistically significant correlations between telomere length (global, 5p, or 13q) and pack years or cigarettes per day.
Table 1.
All lung cancer casesa (N=788) |
Adenocarcinoma (N=189) |
Squamous cell (N=150) |
Small cell (N=121) |
|
---|---|---|---|---|
| ||||
Age, years; mean (SD) | 64.2 (5.6) | 64.1 (5.6) | 65.0 (5.6) | 64.4 (5.7) |
45–54; N (%) | 52 (7) | 14 (7) | 9 (6) | 8 (7) |
55–59; N (%) | 127 (16) | 29 (15) | 21 (14) | 20 (17) |
60–64; N (%) | 239 (30) | 64 (34) | 36 (24) | 33 (27) |
65–69; N (%) | 233 (30) | 49 (26) | 53 (35) | 41 (34) |
70–74; N (%) | 137 (17) | 33 (18) | 31 (21) | 19 (16) |
| ||||
Race; N (%) | ||||
White | 747 (95) | 182 (96) | 141 (94) | 116 (96) |
Black | 22 (3) | 1 (1) | 5 (3) | 0 (0) |
Other | 19 (2) | 6 (3) | 4 (3) | 5 (4) |
| ||||
Sex, female; N (%) | 273 (35) | 77 (41) | 37 (25) | 51 (42) |
| ||||
Current smoker; N (%) | 523 (66) | 109 (58) | 107 (71) | 78 (65) |
| ||||
Pack-years; mean (SD) | 57.4 (21.5) | 56.1 (20.1) | 62.4 (26.1) | 57.6 (20.3) |
| ||||
Years since quit smoking; mean (SD) | 2.2 (4.5) | 2.7 (5.1) | 2.0 (4.0) | 2.1 (4.4) |
| ||||
Intervention arm (assigned to active); N (%) | 430 (55) | 102 (54) | 77 (51) | 67 (55) |
| ||||
Asbestos exposure; N (%) | 125 (16) | 30 (16) | 31 (21) | 16 (13) |
| ||||
Years followedb; mean (SD) | 7.9 (4.9) | 7.7 (5.2) | 7.8 (5.0) | 6.2 (3.8) |
| ||||
Years between blood draw and diagnosis; mean (SD) | 5.9 (3.9) | 4.9 (3.4) | 4.9 (3.2) | 4.8 (3.2) |
Abbreviation: SD = Standard Deviation.
"All lung cancer cases" includes adenocarcinoma, squamous cell, and small cell, as well as 328 cases for whom histotype was NSCLC, NOS; other NSCLC; unknown or missing.
Years followed includes time from blood draw to death or end of the study period.
A total of 788 individuals with lung cancer were successfully assayed for telomere length. Of 751 deaths, 635 were attributed to lung cancer. Separately by histotype, 93%, 95%, and 98% of the adenocarcinoma, squamous cell, and small cell cases had died, respectively. There was no deviation from the proportional hazards assumption in the survival analyses of global, 5p, and 13q telomere length (all p-values>0.27). We observed suggestive trends of increasing SCLC mortality associated with decreasing telomere length. For the shortest versus the longest tertile, quintile, and decile of telomere length and SCLC-specific mortality, HRs and 95% CIs were: 1.74 (1.05–2.90) (Table 2), 2.17 (1.10–4.26), and 5.19 (1.69–15.99), respectively, all with p-trend<0.04 (Supplementary Table S1). Among SCLC cases with known stage, 86 were stages III or IV, and only five were stages I or II, so we restricted further analyses to late stage (stages III/IV) SCLC. HR and 95% CI for the tertile, quintile, and decile associations between telomere length and late stage SCLC-specific mortality were: 3.32 (1.78–6.21; Table 3), 3.33 (1.54–7.21), and 5.86 (1.64–20.91), respectively, all with p-trend<0.0007 (Supplementary Table S2). Associations for late stage SCLC all-cause mortality were generally similar (tertiles presented in Supplementary Table S3). Results adjusted for stage (III versus IV) were essentially the same. Late stage SCLC-specific five-year survival differed by tertile of telomere length (log-rank p=0.005; Supplementary Figure S1). Median survival for the shortest tertile was only 6 months, compared to 10.8 months (p=0.008) in the longest tertile.
Table 2.
TL tertileb | Lung cancer deaths | Total lung cancer cases | HR | (95% CI) |
---|---|---|---|---|
All lung cancer casesc | ||||
1 (shortest) | 212 | 261 | 1.08 | (0.89–1.32) |
2 | 214 | 267 | 1.04 | (0.86–1.27) |
3 (longest) | 209 | 260 | 1.00 | (Ref.) |
P-trend | 0.42 | |||
Adenocarcinoma | ||||
1 (shortest) | 49 | 59 | 1.35 | (0.90–2.02) |
2 | 43 | 55 | 1.17 | (0.78–1.78) |
3 (longest) | 58 | 75 | 1.00 | (Ref.) |
P-trend | 0.15 | |||
Squamous cell | ||||
1 (shortest) | 42 | 55 | 0.86 | (0.52–1.43) |
2 | 38 | 53 | 0.76 | (0.46–1.25) |
3 (longest) | 34 | 42 | 1.00 | (Ref.) |
P-trend | 0.63 | |||
Small cell | ||||
1 (shortest) | 45 | 47 | 1.74 | (1.05–2.90) |
2 | 37 | 38 | 1.66 | (0.98–2.83) |
3 (longest) | 30 | 36 | 1.00 | (Ref.) |
P-trend | 0.04 |
Abbreviations: HR = hazard ratio; CI = confidence interval; TL = telomere length.
Cox proportional hazards models adjusted for age at blood draw, sex, race, smoking status at blood draw, asbestos exposure, enrollment year, intervention arm, and pack years at blood draw.
Telomere tertile cut-offs were determined among all lung cancer cases, and are defined by the following non-transformed relative telomere length ranges: 0.23 to <0.84, 0.84 to <1.15, and 1.15 to <2.45.
"All lung cancer cases" includes adenocarcinoma, squamous cell, and small cell, as well as 328 cases for whom histotype was NSCLC, NOS; other NSCLC; unknown or missing.
Table 3.
Subgroup | TL tertiles | SCLC deaths |
Total SCLC cases |
HR | (95% CI) | P-trend | |
---|---|---|---|---|---|---|---|
| |||||||
Lung cancer stage | Stage III/IV | 1 (shortest) | 29 | 29 | 3.32 | (1.78–6.21) | 0.0002 |
2 | 28 | 29 | 1.94 | (1.05–3.58) | |||
3 (longest) | 24 | 28 | 1.00 | (Ref.) | |||
| |||||||
Age at blood draw | ≤65 years | 1 (shortest) | 15 | 15 | 4.06 | (1.55–10.64) | 0.003 |
2 | 15 | 15 | 2.71 | (1.15–6.37) | |||
3 (longest) | 13 | 15 | 1.00 | (Ref.) | |||
| |||||||
>65 years | 1 (shortest) | 14 | 14 | 6.33 | (1.86–21.52) | 0.003 | |
2 | 13 | 14 | 2.12 | (0.67–6.71) | |||
3 (longest) | 11 | 13 | 1.00 | (Ref.) | |||
| |||||||
Smoking status at blood draw | Current smoker | 1 (shortest) | 18 | 18 | 4.77 | (1.92–11.84) | 0.001 |
2 | 20 | 21 | 1.52 | (0.68–3.40) | |||
3 (longest) | 14 | 16 | 1.00 | (Ref.) | |||
| |||||||
Former smoker | 1 (shortest) | 11 | 11 | 5.11 | (1.24–20.97) | 0.006 | |
2 | 8 | 8 | 15.60 | (3.22–75.82) | |||
3 (longest) | 10 | 12 | 1.00 | (Ref.) | |||
| |||||||
Sex | Men | 1 (shortest) | 17 | 17 | 2.80 | (1.25–6.27) | 0.01 |
2 | 19 | 19 | 1.64 | (0.70–3.84) | |||
3 (longest) | 17 | 18 | 1.00 | (Ref.) | |||
| |||||||
Women | 1 (shortest) | 12 | 12 | 5.06 | (1.60–16.06) | 0.006 | |
2 | 9 | 10 | 1.97 | (0.54–7.18) | |||
3 (longest) | 7 | 10 | 1.00 | (Ref.) | |||
| |||||||
Intervention arm | Active | 1 (shortest) | 21 | 21 | 8.95 | (2.66–30.10) | 0.0003 |
2 | 15 | 15 | 2.38 | (0.84–6.69) | |||
3 (longest) | 8 | 11 | 1.00 | (Ref.) | |||
| |||||||
Placebo | 1 (shortest) | 8 | 8 | 2.01 | (0.68–5.94) | 0.06 | |
2 | 13 | 14 | 2.92 | (1.12–7.57) | |||
3 (longest) | 16 | 17 | 1.00 | (Ref.) | |||
| |||||||
Pack years at blood draw (median=52 years) | ≤52 years | 1 (shortest) | 13 | 13 | 3.79 | (1.44–9.94) | 0.006 |
2 | 18 | 19 | 2.41 | (0.97–5.99) | |||
3 (longest) | 11 | 14 | 1.00 | (Ref.) | |||
| |||||||
>52 years | 1 (shortest) | 16 | 16 | 3.71 | (1.36–10.07) | 0.01 | |
2 | 10 | 10 | 1.27 | (0.46–3.46) | |||
3 (longest) | 13 | 14 | 1.00 | (Ref.) | |||
| |||||||
Time between blood draw and lung cancer diagnosis (mean=5 years) | 0–5 years | 1 (shortest) | 22 | 22 | 6.38 | (2.59–15.74) | 0.0001 |
2 | 20 | 21 | 4.09 | (1.68–9.93) | |||
3 (longest) | 15 | 17 | 1.00 | (Ref.) | |||
| |||||||
>5 years | 1 (shortest) | 7 | 7 | 2.58 | (0.66–10.11) | 0.18 | |
2 | 8 | 8 | 1.50 | (0.38–5.86) | |||
3 (longest) | 9 | 11 | 1.00 | (Ref.) |
Abbreviations: HR = hazard ratio; CI = confidence interval; TL = telomere length.
Cox proportional hazards models adjusted for age at blood draw, sex, race, asbestos exposure, enrollment year, smoking status at blood draw, intervention arm, and pack years at blood draw (any of these adjustment variables was not included when the analysis was stratified on that variable).
Statistically significant associations (i.e., with a multiple testing-corrected p-trend<0.007) between short telomere length and late stage SCLC-specific (Table 3) and all-cause mortality (Supplementary Table S3) were observed in almost all strata defined by age, smoking status, sex, and pack years. Comparing the shortest to the longest tertile of telomere length, late stage SCLC-specific mortality associations were suggestively stronger for ages >65 years (HR 6.33, 95% CI 1.86–21.52, p-trend 0.003) than ages ≤65 years (HR 4.06, 95% CI 1.55–10.64, p-trend 0.003), and for women (HR 5.06, 95% CI 1.60–16.06, p-trend 0.006) than men (HR 2.80, 95% CI 1.25–6.27, p-trend 0.01; Table 3). Associations were strongest for those randomized to the active intervention (HR 8.95, 95% CI 2.66–30.10, p-trend 0.0003) versus placebo (HR 2.01, 95% CI 0.68–5.94, p-trend 0.06), and those with telomere length measured 0–5 years prior to diagnosis (HR 6.38, 95% CI 2.59–15.74, p-trend 0.0001) versus >5 years prior to diagnosis (HR 2.58, 95% CI 0.66–10.11, p-trend 0.18; Table 3). Associations for all-cause mortality were similar to SCLC-specific mortality, though generally slightly smaller in magnitude (Supplementary Table S3).
No clear pattern between telomere length and lung cancer-specific mortality was observed for adenocarcinoma or squamous cell carcinoma, before or after adjustment for stage (Table 2, and Supplementary Tables S1 and S2). Results were similar for all-cause mortality. For all lung cancer cases combined, short telomere length was suggestively associated with mortality but only for the analysis of deciles. Comparing the shortest to the longest decile of telomere length, the HR and 95% CI for lung cancer-specific mortality was 1.39 (0.98–1.98; Supplementary Table S1), and the corresponding HR and 95% CI for all-cause mortality was 1.43 (1.03–1.99), but we did not observe a trend between decreasing telomere length and mortality (Supplementary Table S1).
Short chromosome 5p telomere length was not associated with mortality for any of the histotypes individually, but it was suggestively associated with increased lung cancer-specific (HR 1.24, 95% CI 1.02–1.52, p-trend 0.03) mortality for all lung cancers, particularly among those ≤65 years (HR 1.56, 95% CI 1.18–2.05, p-trend 0.003; Table 4). Similar results were observed for all-cause mortality in all lung cancers (Supplementary Table S4). Associations were generally similar after adjustment for stage. Chromosome 13q telomere length was not associated with mortality before (Supplementary Table S5) or after adjustment for stage.
Table 4.
Subgroup | TL tertiles | Lung cancer deaths |
Total lung cancer cases |
HR | (95% CI) | P-trend | |
---|---|---|---|---|---|---|---|
| |||||||
TL tertile | 1 (shortest) | 211 | 250 | 1.24 | (1.02–1.52) | 0.03 | |
2 | 202 | 257 | 1.02 | (0.83–1.24) | |||
3 (longest) | 197 | 249 | 1.00 | (Ref.) | |||
| |||||||
Lung cancer stagec | Stage I/II | 1 (shortest) | 22 | 41 | 1.30 | (0.69–2.45) | 0.42 |
2 | 24 | 50 | 1.12 | (0.62–2.04) | |||
3 (longest) | 23 | 41 | 1.00 | (Ref.) | |||
| |||||||
Stage III/IV | 1 (shortest) | 116 | 122 | 1.26 | (0.96–1.65) | 0.10 | |
2 | 114 | 119 | 1.03 | (0.78–1.36) | |||
3 (longest) | 100 | 109 | 1.00 | (Ref.) | |||
| |||||||
Age at blood draw | ≤65 years | 1 (shortest) | 106 | 119 | 1.56 | (1.18–2.05) | 0.003 |
2 | 113 | 143 | 1.04 | (0.80–1.37) | |||
3 (longest) | 104 | 133 | 1.00 | (Ref.) | |||
| |||||||
>65 years | 1 (shortest) | 105 | 131 | 1.07 | (0.80–1.43) | 0.64 | |
2 | 89 | 114 | 1.06 | (0.78–1.43) | |||
3 (longest) | 93 | 116 | 1.00 | (Ref.) | |||
| |||||||
Smoking status at blood draw | Current smoker | 1 (shortest) | 143 | 165 | 1.36 | (1.07–1.74) | 0.01 |
2 | 138 | 175 | 0.96 | (0.75–1.23) | |||
3 (longest) | 131 | 162 | 1.00 | (Ref.) | |||
| |||||||
Former smoker | 1 (shortest) | 68 | 85 | 1.05 | (0.74–1.49) | 0.79 | |
2 | 64 | 82 | 1.14 | (0.80–1.61) | |||
3 (longest) | 66 | 87 | 1.00 | (Ref.) | |||
| |||||||
Sex | Men | 1 (shortest) | 145 | 173 | 1.29 | (1.01–1.66) | 0.04 |
2 | 130 | 164 | 1.03 | (0.81–1.32) | |||
3 (longest) | 125 | 157 | 1.00 | (Ref.) | |||
| |||||||
Women | 1 (shortest) | 66 | 77 | 1.16 | (0.82–1.63) | 0.42 | |
2 | 72 | 93 | 0.96 | (0.69–1.34) | |||
3 (longest) | 72 | 92 | 1.00 | (Ref.) | |||
| |||||||
Intervention arm | Active | 1 (shortest) | 119 | 140 | 1.31 | (1.01–1.72) | 0.05 |
2 | 107 | 131 | 0.96 | (0.73–1.26) | |||
3 (longest) | 112 | 138 | 1.00 | (Ref.) | |||
| |||||||
Placebo | 1 (shortest) | 92 | 110 | 1.19 | (0.88–1.62) | 0.26 | |
2 | 95 | 126 | 1.06 | (0.79–1.42) | |||
3 (longest) | 85 | 111 | 1.00 | (Ref.) | |||
| |||||||
Pack years at blood draw (median=52 years) | ≤52 years | 1 (shortest) | 117 | 131 | 1.34 | (1.01–1.77) | 0.04 |
2 | 101 | 126 | 1.04 | (0.78–1.39) | |||
3 (longest) | 96 | 122 | 1.00 | (Ref.) | |||
| |||||||
>52 years | 1 (shortest) | 94 | 119 | 1.12 | (0.84–1.50) | 0.45 | |
2 | 101 | 131 | 0.95 | (0.71–1.26) | |||
3 (longest) | 101 | 127 | 1.00 | (Ref.) | |||
| |||||||
Time between blood draw and lung cancer diagnosis (mean=5 years) | 0–5 years | 1 (shortest) | 106 | 122 | 1.15 | (0.86–1.55) | 0.34 |
2 | 99 | 111 | 0.99 | (0.74–1.33) | |||
3 (longest) | 94 | 108 | 1.00 | (Ref.) | |||
| |||||||
>5 years | 1 (shortest) | 105 | 128 | 1.31 | (0.99–1.73) | 0.06 | |
2 | 103 | 146 | 1.03 | (0.78–1.36) | |||
3 (longest) | 103 | 141 | 1.00 | (Ref.) |
Abbreviations: HR = hazard ratio; CI = confidence interval; TL = telomere length.
All lung cancer cases includes adenocarcinoma, squamous cell carcinoma, and small cell lung cancer cases, as well as 313 cases for whom histotype was NSCLC, NOS; other NSCLC; unknown or missing.
Cox proportional hazards models adjusted for age at blood draw, sex, race, asbestos exposure, enrollment year, smoking status at blood draw, intervention arm, and pack years at blood draw (any of these adjustment variables was not included when the analysis stratified on that variable).
274 cases are missing stage data.
Discussion
To our knowledge, this is the largest prospective study to date of telomere length and lung cancer mortality, and the first to evaluate associations by histotype. We observed that short telomere length measured prior to diagnosis was associated with increased all-cause and lung cancer-specific mortality for SCLC, but not the other histotypes, among lung cancer cases with an average smoking history of 57 pack years. We also observed that short chromosome 5p telomere length was suggestively modestly associated with increased mortality in lung cancer cases, but not within individual histotypes.
The association with global telomere length was particularly strong for late stage SCLC, and when telomere length was measured closer to diagnosis. It is possible that telomere length closer to diagnosis reflects a physiologic state that is more relevant to survival outcomes, but it may also reflect pre-clinical changes associated with the onset of disease. The CARET trial reported higher mortality among individuals randomized to the intervention arm (44); within this group, the association between short telomere length and SCLC mortality was especially strong, suggesting an interaction between pharmacologically high dose beta carotene/retinyl palmitate and telomere length on survival outcomes. This is plausible given the association between oxidative stress and short telomeres (52–56), and the suspected pro-oxidant effects of high dose vitamins (57).
SCLC makes up 16% of all lung cancers, and it is a more aggressive disease than NSCLC, with five-year relative survival of only 6% compared to 20% for adenocarcinoma and 17% for squamous cell carcinoma (58). For each histotype, associations were generally similar for all-cause and lung cancer-specific mortality, reflecting the short survival time experienced by individuals with lung cancer. The majority of SCLC (76%) are diagnosed at stages III/IV (58). Even though late stage SCLC survival is particularly poor, we observed that late stage SCLC cases with telomere length in the shortest tertile had worse median survival than those in the longest tertile (6 months versus 10.8 months, respectively; p=0.008).
Our results are generally consistent with the limited telomere length and lung cancer mortality literature to date. In their population-based Danish cohort study with up to 20 years of follow-up, Weischer et al. reported a 27% increased hazard of death per kilobase pair decrease in telomere length among 522 lung cancer cases (468 deaths; HR 1.27, 95% CI 1.13–1.43), but histotype-specific results were not reported (39). In a cohort of 4,271 individuals with COPD and on average a 40 pack year smoking history, Lee et al. reported that short telomere length is suggestively associated with increased lung cancer mortality (n=127; shortest versus longest quartile 1.40, 0.94–2.16), but results were not presented by histotype (41). We also observed a suggestive association between short telomere length and increased all-cause (and lung cancer-specific) mortality for all lung cancer cases, but in our study, these associations are driven by the strong associations we observed among SCLC. Our study of individuals who smoked on average 57 pack years and the study by Lee et al. demonstrate that even among smokers, short telomere length may be associated with worse survival (41). The study by Kim et al., which assessed telomere length at diagnosis and risk of recurrence for early stage NSCLC cases (n=473), is quite different from our work since we measured telomere length prior to diagnosis (not at diagnosis) and evaluated mortality (not recurrence). They observed that long telomere length is associated with early stage adenocarcinoma recurrence (HR 2.19, 95% CI 1.05–4.55) (42). We did not observe an association between long telomere length and early stage adenocarcinoma mortality (shortest versus longest telomere length tertile HR 1.18, 95% CI 0.44–3.20). Finally, associations between mortality and telomere length in lung tumor tissue compared to paired-normal tissue (59–63) or tumor tissue only (64, 65) have been conflicting. Because telomere dynamics differ for somatic versus germ-line tissues, results from these studies are not directly comparable to our work.
While the literature on telomere length and lung cancer mortality is very limited, there is a growing body of evidence linking long telomere length with risk of lung cancer. This association is likely restricted to the adenocarcinoma histotype, supported by prospective studies (66), including ours in the CARET study (51), and studies of genetic risk scores for telomere length (67, 68). It is not implausible that short telomere length could be associated with increased mortality from SCLC while long telomere length could be associated with risk of adenocarcinoma, as both long and short telomeres likely represent telomere dysfunction (69), and the histotypes are biologically distinct (70). For example, there are strikingly different patterns of genetic susceptibility by histotype (71), and adenocarcinomas have a much higher frequency of actionable mutations than do the other histotypes (70). While smoking is associated with all lung cancers, it is most strongly related to SCLC risk (72). As telomere length is influenced by genetic and non-genetic factors such as age (73–75), exposure to cigarette smoking (74, 75), and oxidative stress and inflammation (52–56, 76), it is possible that short telomere length reflects higher cumulative exposure to factors that may be associated with poorer survival. Also, since telomere length measured in peripheral blood is a weighted average of the telomere lengths of circulating immune cells (77), it could reflect varying immune profiles.
Regarding telomere length and mortality for cancer types other than lung cancer, the recent meta-analysis that combined 13 studies of various solid cancer types reported that short peripheral blood telomere length is associated with increased mortality (40), but results for individual cancer types are inconsistent. Weischer et al. observed that short telomere length measured prior to diagnosis is associated not only with mortality from lung cancer, but also melanoma and glioma, and with favorable survival for esophageal cancer (39). Conflicting results have been reported for cancers of the breast (39, 78–80), colon and/or rectum (39, 81, 82), esophagus (39, 83), kidney (39, 84, 85), liver (39, 86–88), stomach (39, 89), urinary tract (39, 90, 91), and ovary (39, 92, 93), though the two studies of glioma to date both reported associations between short telomere length and increased mortality (39, 94).
Our study has several strengths: all cases were heavy smokers, reducing the possibility of confounding by smoking status; we measured telomere length prior to diagnosis so it is ostensibly not affected by diagnosed lung cancer or its treatment; and we were able to evaluate chromosome 5p and 13q telomere length. Although this is the largest study to date, data on histotype and stage were missing for some of the study participants, which reduced the sample sizes for histotype-specific and stage-adjusted analyses. Still, we were able to evaluate associations after controlling for stage in ~80% of the cases. Finally, DNA was extracted from whole blood using QIAamp kits, which have been reported to yield shorter telomere length measurements (95–97). If the distribution of telomere length was compressed, this may have attenuated the HRs and therefore may have limited our ability to detect differences in survival.
Our findings--that short global telomere length is associated with increased mortality for late stage SCLC, and that short chromosome 5p telomere length is suggestively associated with increased mortality for all lung cancers--are novel, and require evaluation in other populations. Given that we observed a stronger association with SCLC when telomere length was measured closer to diagnosis, it may be of interest to determine whether telomere length measured at diagnosis but before treatment is more strongly associated with survival. If replicated, studies elucidating mechanisms through which peripheral blood telomere length influences survival for this highly aggressive cancer are warranted, and may inform more effective use of telomere-targeted therapeutics (6, 11).
Supplementary Material
Acknowledgments
The research reported in this publication was supported by Huntsman Cancer Foundation to J.A. Doherty and the National Cancer Institute (NCI) of the National Institutes of Health under Award Number P30 CA042014 to M.C. Beckerle, R01 CA111703 to C. Chen, and R01 CA151989 to J.A. Doherty. Support for CARET is from NCI grants UM1 CA167462 and U01 CA63673 to G.E. Goodman. We thank individuals in the CARET study for their participation.
Abbreviations
- CARET
β-Carotene and Retinol Efficacy Trial
- CI
confidence interval
- COPD
chronic obstructive pulmonary disease
- HBB
hemoglobin subunit beta
- HR
hazard ratio
- NDI
National Death Index
- NSCLC
non-small cell lung cancer
- T/S
telomere to single copy control gene ratio
- PCR
polymerase chain reaction
- SCLC
small cell lung cancer
Footnotes
Conflict of Interest Statement: The authors declare no potential conflicts of interest.
References
- 1.Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65:87–108. doi: 10.3322/caac.21262. [DOI] [PubMed] [Google Scholar]
- 2.American Cancer Society. Cancer facts & figures 2017. Atlanta: American Cancer Society; 2017. [Google Scholar]
- 3.Jemal A, Fedewa SA. Lung cancer screening with low-dose computed tomography in the United States—2010 to 2015. JAMA Oncology. 2017;3:1278–81. doi: 10.1001/jamaoncol.2016.6416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.O’Sullivan RJ, Karlseder J. Telomeres: Protecting chromosomes against genome instability. Nat Rev Mol Cell Biol. 2010;11:171–81. doi: 10.1038/nrm2848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bernadotte A, Mikhelson VM, Spivak IM. Markers of cellular senescence. Telomere shortening as a marker of cellular senescence. Aging (Albany N Y) 2016;8:3–11. doi: 10.18632/aging.100871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kachuri L, Latifovic L, Liu G, Hung RJ. Systematic review of genetic variation in chromosome 5p15.33 and telomere length as predictive and prognostic biomarkers for lung cancer. Cancer Epidemiol Biomarkers Prev. 2016;25:1537–49. doi: 10.1158/1055-9965.EPI-16-0200. [DOI] [PubMed] [Google Scholar]
- 7.Graakjaer J, Bischoff C, Korsholm L, Holstebroe S, Vach W, Bohr VA, et al. The pattern of chromosome-specific variations in telomere length in humans is determined by inherited, telomere-near factors and is maintained throughout life. Mech Ageing Dev. 2003;124:629–40. doi: 10.1016/s0047-6374(03)00081-2. [DOI] [PubMed] [Google Scholar]
- 8.Lansdorp PM, Verwoerd NP, van de Rijke FM, Dragowska V, Little MT, Dirks RW, et al. Heterogeneity in telomere length of human chromosomes. Hum Mol Genet. 1996;5:685–91. doi: 10.1093/hmg/5.5.685. [DOI] [PubMed] [Google Scholar]
- 9.Martens UM, Zijlmans JM, Poon SS, Dragowska W, Yui J, Chavez EA, et al. Short telomeres on human chromosome 17p. Nat Genet. 1998;18:76–80. doi: 10.1038/ng0198-018. [DOI] [PubMed] [Google Scholar]
- 10.Shay JW, Wright WE. Implications of mapping the human telomerase gene (hTERT) as the most distal gene on chromosome 5p. Neoplasia (New York, NY) 2000;2:195–6. doi: 10.1038/sj.neo.7900093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Shay JW. Role of telomeres and telomerase in aging and cancer. Cancer Discov. 2016;6:584–93. doi: 10.1158/2159-8290.CD-16-0062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cawthon RM, Smith KR, O'Brien E, Sivatchenko A, Kerber RA. Association between telomere length in blood and mortality in people aged 60 years or older. The Lancet. 2003;361:393–5. doi: 10.1016/S0140-6736(03)12384-7. [DOI] [PubMed] [Google Scholar]
- 13.Fitzpatrick AL, Kronmal RA, Kimura M, Gardner JP, Psaty BM, Jenny NS, et al. Leukocyte telomere length and mortality in the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci. 2011;66A:421–9. doi: 10.1093/gerona/glq224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Mons U, Müezzinler A, Schöttker B, Dieffenbach AK, Butterbach K, Schick M, et al. Leukocyte telomere length and all-cause, cardiovascular disease, and cancer mortality: Results from individual-participant-data meta-analysis of 2 large prospective cohort studies. Am J Epidemiol. 2017;185:1317–26. doi: 10.1093/aje/kww210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Carty CL, Kooperberg C, Liu J, Herndon M, Assimes T, Hou L, et al. Leukocyte telomere length and risks of incident coronary heart disease and mortality in a racially diverse population of post-menopausal women. Arterioscler Thromb Vasc Biol. 2015;35:2225–31. doi: 10.1161/ATVBAHA.115.305838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Glei DA, Goldman N, Weinstein M, Risques RA. Shorter ends, faster end? Leukocyte telomere length and mortality among older Taiwanese. J Gerontol A Biol Sci Med Sci. 2015;70:1490–8. doi: 10.1093/gerona/glu191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rode L, Nordestgaard BG, Bojesen SE. Peripheral blood leukocyte telomere length and mortality among 64,637 individuals from the general population. J Natl Cancer Inst. 2015;107 doi: 10.1093/jnci/djv074. djv074. [DOI] [PubMed] [Google Scholar]
- 18.Deelen J, Beekman M, Codd V, Trompet S, Broer L, Hägg S, et al. Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers. Int J Epidemiol. 2014;43:878–86. doi: 10.1093/ije/dyt267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Honig LS, Kang MS, Schupf N, Lee JH, Mayeux R. Association of shorter leukocyte telomere repeat length with dementia and mortality. Arch Neurol. 2012;69:1332–9. doi: 10.1001/archneurol.2012.1541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dean SG, Zhang C, Gao J, Roy S, Shinkle J, Sabarinathan M, et al. The association between telomere length and mortality in Bangladesh. Aging (Albany N Y) 2017;9:1537–51. doi: 10.18632/aging.101246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ehrlenbach S, Willeit P, Kiechl S, Willeit J, Reindl M, Schanda K, et al. Influences on the reduction of relative telomere length over 10 years in the population-based Bruneck Study: Introduction of a well-controlled high-throughput assay. Int J Epidemiol. 2009;38:1725–34. doi: 10.1093/ije/dyp273. [DOI] [PubMed] [Google Scholar]
- 22.Weischer M, Bojesen SE, Cawthon RM, Freiberg JJ, Tybjaerg-Hansen A, Nordestgaard BG. Short telomere length, myocardial infarction, ischemic heart disease, and early death. Arterioscler Thromb Vasc Biol. 2012;32:822–9. doi: 10.1161/ATVBAHA.111.237271. [DOI] [PubMed] [Google Scholar]
- 23.Bakaysa SL, Mucci LA, Slagboom PE, Boomsma DI, McClearn GE, Johansson B, et al. Telomere length predicts survival independent of genetic influences. Aging Cell. 2007;6:769–74. doi: 10.1111/j.1474-9726.2007.00340.x. [DOI] [PubMed] [Google Scholar]
- 24.Marioni RE, Harris SE, Shah S, McRae AF, von Zglinicki T, Martin-Ruiz C, et al. The epigenetic clock and telomere length are independently associated with chronological age and mortality. Int J Epidemiol. 2016;45:424–32. doi: 10.1093/ije/dyw041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Needham BL, Rehkopf D, Adler N, Gregorich S, Lin J, Blackburn EH, et al. Leukocyte telomere length and mortality in the National Health and Nutrition Examination Survey, 1999–2002. Epidemiology. 2015;26:528–35. doi: 10.1097/EDE.0000000000000299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Njajou OT, Hsueh WC, Blackburn EH, Newman AB, Wu SH, Li R, et al. Association between telomere length, specific causes of death, and years of healthy life in health, aging, and body composition, a population-based cohort study. J Gerontol A Biol Sci Med Sci. 2009;64:860–4. doi: 10.1093/gerona/glp061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Svensson J, Karlsson MK, Ljunggren Ö, Tivesten Å, Mellström D, Movérare-Skrtic S. Leukocyte telomere length is not associated with mortality in older men. Exp Gerontol. 2014;57:6–12. doi: 10.1016/j.exger.2014.04.013. [DOI] [PubMed] [Google Scholar]
- 28.Bendix L, Thinggaard M, Fenger M, Kolvraa S, Avlund K, Linneberg A, et al. Longitudinal changes in leukocyte telomere length and mortality in humans. J Gerontol A Biol Sci Med Sci. 2014;69A:231–9. doi: 10.1093/gerona/glt153. [DOI] [PubMed] [Google Scholar]
- 29.Strandberg TE, Saijonmaa O, Tilvis RS, Pitkala KH, Strandberg AY, Miettinen TA, et al. Association of telomere length in older men with mortality and midlife body mass index and smoking. J Gerontol A Biol Sci Med Sci. 2011;66:815–20. doi: 10.1093/gerona/glr064. [DOI] [PubMed] [Google Scholar]
- 30.Epel ES, Merkin SS, Cawthon R, Blackburn EH, Adler NE, Pletcher MJ, et al. The rate of leukocyte telomere shortening predicts mortality from cardiovascular disease in elderly men. Aging (Albany N Y) 2009;1:81–8. doi: 10.18632/aging.100007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Woo J, Tang NL, Suen E, Leung JC, Leung PC. Telomeres and frailty. Mech Ageing Dev. 2008;129:642–8. doi: 10.1016/j.mad.2008.08.003. [DOI] [PubMed] [Google Scholar]
- 32.Bischoff C, Petersen HC, Graakjaer J, Andersen-Ranberg K, Vaupel JW, Bohr VA, et al. No association between telomere length and survival among the elderly and oldest old. Epidemiology. 2006;17:190–4. doi: 10.1097/01.ede.0000199436.55248.10. [DOI] [PubMed] [Google Scholar]
- 33.Kimura M, Hjelmborg JV, Gardner JP, Bathum L, Brimacombe M, Lu X, et al. Telomere length and mortality: A study of leukocytes in elderly Danish twins. Am J Epidemiol. 2008;167:799–806. doi: 10.1093/aje/kwm380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Houben JM, Giltay EJ, Rius-Ottenheim N, Hageman GJ, Kromhout D. Telomere length and mortality in elderly men: The Zutphen Elderly Study. J Gerontol A Biol Sci Med Sci. 2011;66:38–44. doi: 10.1093/gerona/glq164. [DOI] [PubMed] [Google Scholar]
- 35.Harris SE, Deary IJ, MacIntyre A, Lamb KJ, Radhakrishnan K, Starr JM, et al. The association between telomere length, physical health, cognitive ageing, and mortality in non-demented older people. Neurosci Lett. 2006;406:260–4. doi: 10.1016/j.neulet.2006.07.055. [DOI] [PubMed] [Google Scholar]
- 36.Martin-Ruiz CM, Gussekloo J, van Heemst D, von Zglinicki T, Westendorp RG. Telomere length in white blood cells is not associated with morbidity or mortality in the oldest old: A population-based study. Aging Cell. 2005;4:287–90. doi: 10.1111/j.1474-9726.2005.00171.x. [DOI] [PubMed] [Google Scholar]
- 37.Zekry D, Krause KH, Irminger-Finger I, Graf CE, Genet C, Vitale AM, et al. Telomere length, comorbidity, functional, nutritional and cognitive status as predictors of 5 years post hospital discharge survival in the oldest old. J Nutr Health Aging. 2012;16:225–30. doi: 10.1007/s12603-011-0138-x. [DOI] [PubMed] [Google Scholar]
- 38.Willeit P, Willeit J, Kloss-Brandstatter A, Kronenberg F, Kiechl S. Fifteen-year follow-up of association between telomere length and incident cancer and cancer mortality. JAMA. 2011;306:42–4. doi: 10.1001/jama.2011.901. [DOI] [PubMed] [Google Scholar]
- 39.Weischer M, Nordestgaard BG, Cawthon RM, Freiberg JJ, Tybjaerg-Hansen A, Bojesen SE. Short telomere length, cancer survival, and cancer risk in 47102 individuals. J Natl Cancer Inst. 2013;105:459–68. doi: 10.1093/jnci/djt016. [DOI] [PubMed] [Google Scholar]
- 40.Xu X, Qu K, Pang Q, Wang Z, Zhou Y, Liu C. Association between telomere length and survival in cancer patients: A meta-analysis and review of literature. Front Med. 2016;10:191–203. doi: 10.1007/s11684-016-0450-2. [DOI] [PubMed] [Google Scholar]
- 41.Lee J, Sandford AJ, Connett JE, Yan J, Mui T, Li Y, et al. The relationship between telomere length and mortality in chronic obstructive pulmonary disease (COPD) PLoS One. 2012;7:e35567. doi: 10.1371/journal.pone.0035567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kim ES, Ye Y, Vaporciyan AA, Xing J, Huang M, Gu J, et al. Telomere length and recurrence risk after curative resection in patients with early-stage non–small-cell lung cancer: A prospective cohort study. J Thorac Oncol. 2015;10:302–8. doi: 10.1097/JTO.0000000000000398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sakoda L, Loomis M, Doherty J, Julianto L, Barnett M, Neuhouser M, et al. Germ line variation in nucleotide excision repair genes and lung cancer risk in smokers. Int J Mol Epidemiol Genet. 2012;3:1–17. [PMC free article] [PubMed] [Google Scholar]
- 44.Omenn GS, Goodman GE, Thornquist MD, Balmes J, Cullen MR, Glass A, et al. Effects of a combination of beta carotene and vitamin A on lung cancer and cardiovascular disease. N Engl J Med. 1996;334:1150–5. doi: 10.1056/NEJM199605023341802. [DOI] [PubMed] [Google Scholar]
- 45.Omenn GS, Goodman GE, Thornquist MD, Balmes J, Cullen MR, Glass A, et al. Risk factors for lung cancer and for intervention effects in CARET, the Beta-Carotene and Retinol Efficacy Trial. J Natl Cancer Inst. 1996;88:1550–9. doi: 10.1093/jnci/88.21.1550. [DOI] [PubMed] [Google Scholar]
- 46.Goodman GE, Thornquist MD, Balmes J, Cullen MR, Meyskens FL, Jr, Omenn GS, et al. The Beta-Carotene and Retinol Efficacy Trial: Incidence of lung cancer and cardiovascular disease mortality during 6-year follow-up after stopping beta-carotene and retinol supplements. J Natl Cancer Inst. 2004;96:1743–50. doi: 10.1093/jnci/djh320. [DOI] [PubMed] [Google Scholar]
- 47.Aviv A, Hunt SC, Lin J, Cao X, Kimura M, Blackburn E. Impartial comparative analysis of measurement of leukocyte telomere length/DNA content by southern blots and qPCR. Nucleic Acids Res. 2011;39:e134. doi: 10.1093/nar/gkr634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Cawthon RM. Telomere measurement by quantitative PCR. Nucleic Acids Res. 2002;30:e47. doi: 10.1093/nar/30.10.e47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.McGrath M, Wong JY, Michaud D, Hunter DJ, De Vivo I. Telomere length, cigarette smoking, and bladder cancer risk in men and women. Cancer Epidemiol Biomarkers Prev. 2007;16:815–9. doi: 10.1158/1055-9965.EPI-06-0961. [DOI] [PubMed] [Google Scholar]
- 50.Xing J, Ajani JA, Chen M, Izzo J, Lin J, Chen Z, et al. Constitutive short telomere length of chromosome 17p and 12q but not 11q and 2p is associated with an increased risk for esophageal cancer. Cancer Prev Res (Phila) 2009;2:459–65. doi: 10.1158/1940-6207.CAPR-08-0227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Doherty JA, Grieshober L, Houck JR, Barnett MJ, Tapsoba JD, Thornquist MD, et al. Nested case-control study of telomere length and lung cancer risk among heavy smokers in the Beta-Carotene and Retinol Efficacy Trial. Br J Cancer. 2018 doi: 10.1038/s41416-018-0075-0. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Demissie S, Levy D, Benjamin EJ, Cupples LA, Gardner JP, Herbert A, et al. Insulin resistance, oxidative stress, hypertension, and leukocyte telomere length in men from the framingham heart study. Aging Cell. 2006;5:325–30. doi: 10.1111/j.1474-9726.2006.00224.x. [DOI] [PubMed] [Google Scholar]
- 53.von Zglinicki T, Pilger R, Sitte N. Accumulation of single-strand breaks is the major cause of telomere shortening in human fibroblasts. Free Radic Biol Med. 2000;28:64–74. doi: 10.1016/s0891-5849(99)00207-5. [DOI] [PubMed] [Google Scholar]
- 54.Richter T, von Zglinicki T. A continuous correlation between oxidative stress and telomere shortening in fibroblasts. Exp Gerontol. 2007;42:1039–42. doi: 10.1016/j.exger.2007.08.005. [DOI] [PubMed] [Google Scholar]
- 55.von Zglinicki T. Oxidative stress shortens telomeres. Trends Biochem Sci. 2002;27:339–44. doi: 10.1016/s0968-0004(02)02110-2. [DOI] [PubMed] [Google Scholar]
- 56.Houben JM, Moonen HJ, van Schooten FJ, Hageman GJ. Telomere length assessment: Biomarker of chronic oxidative stress? Free Radic Biol Med. 2008;44:235–46. doi: 10.1016/j.freeradbiomed.2007.10.001. [DOI] [PubMed] [Google Scholar]
- 57.van Helden YG, Keijer J, Knaapen AM, Heil SG, Briede JJ, van Schooten FJ, et al. Beta-carotene metabolites enhance inflammation-induced oxidative DNA damage in lung epithelial cells. Free Radic Biol Med. 2009;46:299–304. doi: 10.1016/j.freeradbiomed.2008.10.038. [DOI] [PubMed] [Google Scholar]
- 58.Ries LAGYJ, Keel GE, Eisner MP, Lin YD, Horner M-J, editors. SEER survival monograph: Cancer survival among adults: U.S. SEER program, 1988–2001, patient and tumor characteristics. National Cancer Institute, SEER Program, NIH Pub. No. 07-6215; Bethesda, MD: 2007. pp. 73–80. [Google Scholar]
- 59.Lin X, Gu J, Lu C, Spitz MR, Wu X. Expression of telomere-associated genes as prognostic markers for overall survival in patients with non-small cell lung cancer. Clin Cancer Res. 2006;12:5720–5. doi: 10.1158/1078-0432.CCR-05-2809. [DOI] [PubMed] [Google Scholar]
- 60.Hsu CP, Miaw J, Shai SE, Chen CY. Correlation between telomerase expression and terminal restriction fragment length ratio in non-small cell lung cancer—an adjusted measurement and its clinical significance. Eur J Cardiothorac Surg. 2004;26:425–31. doi: 10.1016/j.ejcts.2004.04.029. [DOI] [PubMed] [Google Scholar]
- 61.Hirashima T, Komiya T, Nitta T, Takada Y, Kobayashi M, Masuda N, et al. Prognostic significance of telomeric repeat length alterations in pathological stage I–IIIA non-small cell lung cancer. Anticancer Res. 2000;20:2181–7. [PubMed] [Google Scholar]
- 62.Frias C, Garcia-Aranda C, De Juan C, Moran A, Ortega P, Gomez A, et al. Telomere shortening is associated with poor prognosis and telomerase activity correlates with DNA repair impairment in non-small cell lung cancer. Lung Cancer. 2008;60:416–25. doi: 10.1016/j.lungcan.2007.11.001. [DOI] [PubMed] [Google Scholar]
- 63.Jung S-J, Kim D-S, Park W-J, Lee H, Choi I-J, Park J-Y, et al. Mutation of the TERT promoter leads to poor prognosis of patients with non-small cell lung cancer. Oncol Lett. 2017;14:1609–14. doi: 10.3892/ol.2017.6284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Jeon HS, Choi YY, Choi JE, Lee WK, Lee E, Yoo SS, et al. Telomere length of tumor tissues and survival in patients with early stage non-small cell lung cancer. Mol Carcinog. 2014;53:272–9. doi: 10.1002/mc.21972. [DOI] [PubMed] [Google Scholar]
- 65.Chiappori AA, Kolevska T, Spigel DR, Hager S, Rarick M, Gadgeel S, et al. A randomized phase II study of the telomerase inhibitor imetelstat as maintenance therapy for advanced non-small-cell lung cancer. Ann Oncol. 2015;26:354–62. doi: 10.1093/annonc/mdu550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Seow WJ, Cawthon RM, Purdue MP, Hu W, Gao YT, Huang WY, et al. Telomere length in white blood cell DNA and lung cancer: A pooled analysis of three prospective cohorts. Cancer Res. 2014;74:4090–8. doi: 10.1158/0008-5472.CAN-14-0459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, Bowden J, et al. Association between telomere length and risk of cancer and non-neoplastic diseases: A mendelian randomization study. JAMA Oncol. 2017;3:636–51. doi: 10.1001/jamaoncol.2016.5945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Zhang C, Doherty JA, Burgess S, Hung RJ, Lindstrom S, Kraft P, et al. Genetic determinants of telomere length and risk of common cancers: A mendelian randomization study. Hum Mol Genet. 2015;24:5356–66. doi: 10.1093/hmg/ddv252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Bull CF, Mayrhofer G, O'Callaghan NJ, Au AY, Pickett HA, Low GK, et al. Folate deficiency induces dysfunctional long and short telomeres; both states are associated with hypomethylation and DNA damage in human wil2-ns cells. Cancer Prev Res (Phila) 2014;7:128–38. doi: 10.1158/1940-6207.CAPR-13-0264. [DOI] [PubMed] [Google Scholar]
- 70.Larsen JE, Minna JD. Molecular biology of lung cancer: Clinical implications. Clin Chest Med. 2011;32:703–40. doi: 10.1016/j.ccm.2011.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.McKay JD, Hung RJ, Han Y, Zong X, Carreras-Torres R, Christiani DC, et al. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes. Nat Genet. 2017;49:1126–32. doi: 10.1038/ng.3892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Khuder SA. Effect of cigarette smoking on major histological types of lung cancer: A meta-analysis. Lung Cancer. 2001;31:139–48. doi: 10.1016/s0169-5002(00)00181-1. [DOI] [PubMed] [Google Scholar]
- 73.Iwama H, Ohyashiki K, Ohyashiki JH, Hayashi S, Yahata N, Ando K, et al. Telomeric length and telomerase activity vary with age in peripheral blood cells obtained from normal individuals. Hum Genet. 1998;102:397–402. doi: 10.1007/s004390050711. [DOI] [PubMed] [Google Scholar]
- 74.Valdes AM, Andrew T, Gardner JP, Kimura M, Oelsner E, Cherkas LF, et al. Obesity, cigarette smoking, and telomere length in women. Lancet. 2005;366:662–4. doi: 10.1016/S0140-6736(05)66630-5. [DOI] [PubMed] [Google Scholar]
- 75.Shen M, Cawthon R, Rothman N, Weinstein SJ, Virtamo J, Hosgood HD, 3rd, et al. A prospective study of telomere length measured by monochrome multiplex quantitative PCR and risk of lung cancer. Lung Cancer. 2011;73:133–7. doi: 10.1016/j.lungcan.2010.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.O'Donovan A, Pantell MS, Puterman E, Dhabhar FS, Blackburn EH, Yaffe K, et al. Cumulative inflammatory load is associated with short leukocyte telomere length in the health, aging and body composition study. PLoS One. 2011;6:e19687. doi: 10.1371/journal.pone.0019687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Baerlocher GM, Lansdorp PM. Telomere length measurements in leukocyte subsets by automated multicolor flow-fish. Cytometry Part A : the journal of the International Society for Analytical Cytology. 2003;55:1–6. doi: 10.1002/cyto.a.10064. [DOI] [PubMed] [Google Scholar]
- 78.Svenson U, Nordfjall K, Stegmayr B, Manjer J, Nilsson P, Tavelin B, et al. Breast cancer survival is associated with telomere length in peripheral blood cells. Cancer Res. 2008;68:3618–23. doi: 10.1158/0008-5472.CAN-07-6497. [DOI] [PubMed] [Google Scholar]
- 79.Duggan C, Risques R, Alfano C, Prunkard D, Imayama I, Holte S, et al. Change in peripheral blood leukocyte telomere length and mortality in breast cancer survivors. J Natl Cancer Inst. 2014;106 doi: 10.1093/jnci/dju035. dju035-dju. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Shen J, Gammon MD, Terry MB, Bradshaw PT, Wang Q, Teitelbaum SL, et al. Genetic polymorphisms in telomere pathway genes, telomere length, and breast cancer survival. Breast Cancer Res Treat. 2012;134:393–400. doi: 10.1007/s10549-012-2058-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Chen Y, Qu F, He X, Bao G, Liu X, Wan S, et al. Short leukocyte telomere length predicts poor prognosis and indicates altered immune functions in colorectal cancer patients. Ann Oncol. 2014;25:869–76. doi: 10.1093/annonc/mdu016. [DOI] [PubMed] [Google Scholar]
- 82.Svenson U, Oberg A, Stenling R, Palmqvist R, Roos G. Telomere length in peripheral leukocytes is associated with immune cell tumor infiltration and prognosis in colorectal cancer patients. Tumour Biol. 2016;37:10877–82. doi: 10.1007/s13277-016-4987-0. [DOI] [PubMed] [Google Scholar]
- 83.Lu Y, Yan C, Du J, Ji Y, Gao Y, Zhu X, et al. Genetic variants affecting telomere length are associated with the prognosis of esophageal squamous cell carcinoma in a Chinese population. Mol Carcinog. 2017;56:1021–9. doi: 10.1002/mc.22567. [DOI] [PubMed] [Google Scholar]
- 84.Svenson U, Ljungberg B, Roos G. Telomere length in peripheral blood predicts survival in clear cell renal cell carcinoma. Cancer Res. 2009;69:2896–901. doi: 10.1158/0008-5472.CAN-08-3513. [DOI] [PubMed] [Google Scholar]
- 85.Callahan CL, Schwartz K, Ruterbusch JJ, Shuch B, Graubard BI, Lan Q, et al. Leukocyte telomere length and renal cell carcinoma survival in two studies. Br J Cancer. 2017;117:752–5. doi: 10.1038/bjc.2017.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Bao D, Ba Y, Zhou F, Zhao J, Yang Q, Ge N, et al. Alterations of telomere length and mtdna copy number are associated with overall survival in hepatocellular carcinoma patients treated with transarterial chemoembolization. Cancer Chemother Pharmacol. 2016;78:791–9. doi: 10.1007/s00280-016-3128-1. [DOI] [PubMed] [Google Scholar]
- 87.Yang B, Shebl FM, Sternberg LR, Warner AC, Kleiner DE, Edelman DC, et al. Telomere length and survival of patients with hepatocellular carcinoma in the United States. PLoS One. 2016;11:e0166828. doi: 10.1371/journal.pone.0166828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Liu HQ, An JZ, Liu J, Yang YF, Zhang HX, Zhao BY, et al. Leukocyte telomere length predicts overall survival in hepatocellular carcinoma treated with transarterial chemoembolization. Carcinogenesis. 2012;33:1040–5. doi: 10.1093/carcin/bgs098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Qu F, Li R, He X, Li Q, Xie S, Gong L, et al. Short telomere length in peripheral blood leukocyte predicts poor prognosis and indicates an immunosuppressive phenotype in gastric cancer patients. Mol Oncol. 2015;9:727–39. doi: 10.1016/j.molonc.2014.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lin J, Blalock JA, Chen M, Ye Y, Gu J, Cohen L, et al. Depressive symptoms and short telomere length are associated with increased mortality in bladder cancer patients. Cancer Epidemiol Biomarkers Prev. 2015;24:336–43. doi: 10.1158/1055-9965.EPI-14-0992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Russo A, Modica F, Guarrera S, Fiorito G, Pardini B, Viberti C, et al. Shorter leukocyte telomere length is independently associated with poor survival in patients with bladder cancer. Cancer Epidemiol Biomarkers Prev. 2014;23:2439–46. doi: 10.1158/1055-9965.EPI-14-0228. [DOI] [PubMed] [Google Scholar]
- 92.Kotsopoulos J, Prescott J, De Vivo I, Fan I, McLaughlin J, Rosen B, et al. Telomere length and mortality following a diagnosis of ovarian cancer. Cancer Epidemiol Biomarkers Prev. 2014;23:2603–6. doi: 10.1158/1055-9965.EPI-14-0885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Falandry C, Horard B, Bruyas A, Legouffe E, Cretin J, Meunier J, et al. Telomere length is a prognostic biomarker in elderly advanced ovarian cancer patients: A multicenter GINECO study. Aging (Albany N Y) 2015;7:1066–74. doi: 10.18632/aging.100840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Chen Y, Wu Y, Huang X, Qu P, Li G, Jin T, et al. Leukocyte telomere length: A novel biomarker to predict the prognosis of glioma patients. J Cancer Res Clin Oncol. 2015;141:1739–47. doi: 10.1007/s00432-015-1938-x. [DOI] [PubMed] [Google Scholar]
- 95.Cunningham JM, Johnson RA, Litzelman K, Skinner HG, Seo S, Engelman CD, et al. Telomere length varies by DNA extraction method: Implications for epidemiologic research. Cancer Epidemiol Biomarkers Prev. 2013;22:2047–54. doi: 10.1158/1055-9965.EPI-13-0409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Hofmann JN, Hutchinson AA, Cawthon R, Liu CS, Lynch SM, Lan Q, et al. Telomere length varies by DNA extraction method: Implications for epidemiologic research-letter. Cancer Epidemiol Biomarkers Prev. 2014;23:1129–30. doi: 10.1158/1055-9965.EPI-14-0145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Zhang X, Zhao Q, Zhu W, Liu T, Xie SH, Zhong LX, et al. The association of telomere length in peripheral blood cells with cancer risk: A systematic review and meta-analysis of prospective studies. Cancer Epidemiol Biomarkers Prev. 2017;26:1381–90. doi: 10.1158/1055-9965.EPI-16-0968. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.