TY - JOUR
T1 - Telomere length variation
T2 - A potential new telomere biomarker for lung cancer risk
AU - Sun, Bing
AU - Wang, Ying
AU - Kota, Krishna
AU - Shi, Yaru
AU - Motlak, Salaam
AU - Makambi, Kepher
AU - Loffredo, Christopher A.
AU - Shields, Peter G.
AU - Yang, Qin
AU - Harris, Curtis C.
AU - Zheng, Yun Ling
N1 - Funding Information:
We thank Donna Perlmutter, Bonnie Cooper, Terrence Clemmons, Carolynn Harris, Laura Hall and Dawn Tucker for recruiting study subjects, and Betty Williams for data coding and editing. We thank John Cottrell and Zhipeng Yu for processing and handling the samples and Audrey Salabes for examining medical records. We thank Scarlett Sun and Michael Xu for their assistance in telomere length measurement. Research in YLZ's laboratory is supported by grants from the National Cancer Institute of the National Institutes of Health ( R01CA132996) and Susan G. Komen for the Cure ( KG100283 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.
Publisher Copyright:
© 2015 Elsevier Ireland Ltd.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Objectives: In this report the associations between telomere length variation (TLV), mean telomere length in blood lymphocytes and lung cancer risk were examined. Materials and methods: The study design is case-control. Cases (N = 191) were patients newly diagnosed with histologically confirmed non-small cell lung cancer. Controls (N = 207) were healthy individuals recruited from the same counties as cases and matched to cases on age and gender. Telomere fluorescent in situ hybridization was used to measure telomere features using short-term cultured blood lymphocytes. Logistic regression was used to estimate the strength of association between telomere features and lung cancer risk. Results: Telomere length variation across all chromosomal ends was significantly associated with lung cancer risk; adjusted odds ratios 4.67 [95% confidence interval (CI): 1.46-14.9] and 0.46 (95% CI: 0.25-0.84) for younger (age ≤ 60) and older (age > 60) individuals, respectively. TLV and mean telomere length jointly affected lung cancer risk: when comparing individuals with short telomere length and high TLV to those with long telomere length and low TLV, adjusted odd ratios were 8.21 (95% CI: 1.71-39.5) and 0.33 (95% CI: 0.15-0.72) for younger and older individuals, respectively. Conclusions: TLV in blood lymphocytes is significantly associated with lung cancer risk and the associations were modulated by age. TLV in combination with mean telomere length might be useful in identifying high risk population for lung cancer computerized tomography screening.
AB - Objectives: In this report the associations between telomere length variation (TLV), mean telomere length in blood lymphocytes and lung cancer risk were examined. Materials and methods: The study design is case-control. Cases (N = 191) were patients newly diagnosed with histologically confirmed non-small cell lung cancer. Controls (N = 207) were healthy individuals recruited from the same counties as cases and matched to cases on age and gender. Telomere fluorescent in situ hybridization was used to measure telomere features using short-term cultured blood lymphocytes. Logistic regression was used to estimate the strength of association between telomere features and lung cancer risk. Results: Telomere length variation across all chromosomal ends was significantly associated with lung cancer risk; adjusted odds ratios 4.67 [95% confidence interval (CI): 1.46-14.9] and 0.46 (95% CI: 0.25-0.84) for younger (age ≤ 60) and older (age > 60) individuals, respectively. TLV and mean telomere length jointly affected lung cancer risk: when comparing individuals with short telomere length and high TLV to those with long telomere length and low TLV, adjusted odd ratios were 8.21 (95% CI: 1.71-39.5) and 0.33 (95% CI: 0.15-0.72) for younger and older individuals, respectively. Conclusions: TLV in blood lymphocytes is significantly associated with lung cancer risk and the associations were modulated by age. TLV in combination with mean telomere length might be useful in identifying high risk population for lung cancer computerized tomography screening.
KW - Blood-based biomarker
KW - Lung cancer
KW - Risk prediction
KW - Telomere dysfunction
KW - Telomere length
KW - Telomere length variation
UR - http://www.scopus.com/inward/record.url?scp=84929501533&partnerID=8YFLogxK
U2 - 10.1016/j.lungcan.2015.03.011
DO - 10.1016/j.lungcan.2015.03.011
M3 - Article
C2 - 25840848
AN - SCOPUS:84929501533
SN - 0169-5002
VL - 88
SP - 297
EP - 303
JO - Lung Cancer
JF - Lung Cancer
IS - 3
ER -