Literature DB >> 31878769

The effect of susceptibility variants, identified in never-smoking female lung cancer cases, on male smokers.

Seung Soo Yoo1,2, Hyo-Gyoung Kang3,4, Jin Eun Choi3,4, Mi Jeong Hong3,4, Sook Kyung Do3,5, Jang Hyuck Lee3,5, Won Kee Lee6, Shin Yup Lee1,2, Jaehee Lee1, Seung Ick Cha1, Chang Ho Kim1, Eung Bae Lee7, Jae Yong Park1,2,3,4,5.   

Abstract

BACKGROUND/AIMS: Genome wide and candidate gene association studies have identified polymorphisms associated with the risk of lung cancer in never-smokers. This study was conducted to evaluate the association between 11 polymorphisms identified in female never smokers and the lung cancer risk in male smokers.
METHODS: This study included 714 lung cancer patients and 626 healthy controls. The polymorphisms were genotyped using SEQUENOM MassARRAY iPLEX assay or Taq-Man assay.
RESULTS: Two polymorphisms were associated with the risk of lung cancer in male smokers, as in female never smokers. Male smokers carrying the rs4975616 variant allele had a significantly decreased risk of lung cancer (in a codominant model: odds ratio, 0.77; 95% confidence interval, 0.61 to 0.96; p = 0.02). The rs9387478 polymorphism also reduced lung cancer risk in male smokers (in a codominant model: odds ratio, 0.85; 95% confidence interval, 0.73 to 0.997; p = 0.046). In a stratified analysis, the association between these polymorphisms and the risk of lung cancer was predominant in lighter smokers and for cases of adenocarcinoma.
CONCLUSION: These results suggest that a subset of polymorphisms known to be associated with the risk of lung cancer in female never smokers is also associated with the risk of lung cancer in male smokers.

Entities:  

Keywords:  Lung neoplasms; Non-smokers; Polymorphism; Risk; Smokers

Mesh:

Year:  2019        PMID: 31878769      PMCID: PMC7373985          DOI: 10.3904/kjim.2018.417

Source DB:  PubMed          Journal:  Korean J Intern Med        ISSN: 1226-3303            Impact factor:   2.884


INTRODUCTION

Lung cancer is the leading cause of cancer-related death. Although the majority of lung cancer cases are related to tobacco smoking, approximately 20% of lung cancer patients have never smoked [1,2]. Radon, asbestos, and indoor air pollution, such as from cooking fumes, are thought to cause lung cancer in never smokers (LCINS) [1]. LCINS exhibits different epidemiological, clinical, and molecular characteristics to those in lung cancer in smokers [2]. The proportion of LCINS is higher in women than in men [3]. Epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase rearrangements are more commonly found in LCINS, while KRAS proto-oncogene mutations are more frequent in lung cancer in smokers than in never smokers. Genome-wide association studies (GWAS) have identified several genetic variants that have been associated with the susceptibility to LCINS [4-9]. In a previous study, we also found three polymorphisms that may contribute to lung cancer susceptibility in never-smoking Korean females [10]. Although these variants influenced the risk of lung cancer in never-smoking females, the association of these variants with the lung cancer risk in male smokers has not been studied. The pathogenesis of lung cancer in female never smokers and male smokers can be different. We wondered whether these polymorphisms were confined to never smokers and females. So, we investigated the association with lung cancer risk among male smokers, on the other side of female-never smokers. If these polymorphisms also affect the lung cancer risk in male smokers, this suggests that they may be associated with etiology of lung cancer other than smoking. We conducted a case-control study to investigate the association between the variants identified in the GWAS or candidate gene association studies in never-smoking females and the lung cancer risk in male smokers.

METHODS

Study population

This study included 714 lung cancer patients and 626 healthy controls. All of the patients and control subjects were male smokers (current or former). The patients were histologically confirmed to have lung cancer between September 1998 and June 2012 at Kyungpook National University Hospital (KNUH) in Daegu, Korea. Patient blood samples were provided by the National Biobank of Korea–KNUH, which is supported by the Ministry of Health, Welfare, and Family Affairs of Korea. The blood samples for the 626 healthy controls were randomly selected from the pool of healthy volunteers and provided as follows: 436 from the National Biobank of Korea–KNUH, and 190 from the Korean Biobank Project (4851-307, KBP-2011-24) and the Korean Genome and Epidemiology study (4845-302), which is supported by the Korea Centers for Disease Control & Prevention, Republic of Korea. All materials derived from the National Biobank were obtained under protocols that were approved by Institutional Review Boards. This study was approved by the Institutional Review Board of KNUH (Approval No.: KNUHBIO_09-1018), and written informed consent was obtained from all participants.

Polymorphism selection and genotyping

Eight polymorphisms were selected that were identified in never smoker GWAS [4-9]. Three additional polymorphisms: rs10079250 A > G, rs7631358 G > A, and rs13009079 T > C that contributed to lung cancer susceptibility in never-smoking Korean females in our previous study were also included [10]. Among the 11 polymorphisms studied, 10 were genotyped using SEQUENOM’s MassARRAY iPLEX assay (SEQUENOM Inc., San Diego, CA, USA). The rs7631358 G > A polymorphism was genotyped using the Taq-Man assay (Applied Biosystems, Foster City, CA, USA), following the manufacturer’s instructions. The genotyping analysis was performed in a blinded manner with respect to the case/control status. For quality control, approximately 5% of the samples were randomly selected to be genotyped again using a restriction fragment length polymorphism assay by a different investigator, and the results were 100% concordant.

Statistical analysis

Continuous variables, such as age and pack-years, were analyzed using the Student’s t test. A chi-square test was used to compare the differences between the categorical variables, such as the frequencies of the genotypes between the cases and controls. Unconditional logistic regression analysis was used to calculate the odds ratio (OR) and 95% confidence interval (CI), by adjusting for age and pack-years of smoking. In the stratified analysis, individuals were grouped according to age (≤ 61 vs. > 61), pack-years of smoking (≤ 35 vs. > 35), and histology (squamous cell carcinoma vs. adenocarcinoma vs. small cell carcinoma). The Statistical Analysis System for Windows version 9.4 (SAS Institute, Cary, NC, USA), was used for the statistical analyses. A p value of less than 0.05 was considered statistically significant.

RESULTS

The characteristics of the cases and controls are shown in Table 1. All of the participants were current or former smokers and of the male gender. The proportions of current smokers and pack-years of smoking were higher in the case group than in the control group (p = 0.01 and p < 0.001, respectively). These differences were controlled for in the multivariate analyses by adjusting for the pack-years of smoking.
Table 1.

Characteristics of the study population

VariableCases (n = 714)Controls (n = 626)
Age, yr61.1 ± 8.060.6 ± 6.7
Male sex714 (100)626 (100)
Smoking status[a]
 Current468 (65.6)368 (58.8)
 Former246 (34.4)258 (41.2)
Pack-years of smoking[b]40.5 ± 19.831.2 ± 17.2
Histological types
 Squamous cell carcinoma352 (49.3)
 Adenocarcioma212 (29.7)
 Large cell carcioma17 (2.4)
 Small cell carcioma118 (16.5)
 NSCLC-NOS15 (2.1)
Pathological stage
 I145 (20.3)
 II44 (6.2)
 III274 (38.4)
 IV251 (35.1)

Values are presented as mean ± SD or number (%).

NSCLC-NOS, non-small cell lung cancer, not otherwise specified.

p = 0.01.

p < 0.001.

The genotype frequencies of the 11 polymorphisms in the cases and controls are shown in Supplementary Table 1. Among the 11 polymorphisms, three (rs4975616, rs9387478, and rs13009079) showed different genotype frequencies between the cases and controls. After adjusting for age and pack-years of smoking, the rs4975616 A > G polymorphism was significantly associated with the risk of lung cancer. Individuals carrying the rs4975616 variant allele had a significantly decreased risk of lung cancer (in a codominant model: OR, 0.77; 95% CI, 0.61 to 0.96; p = 0.02) (Table 2). The rs9387478 C > A polymorphism was also associated with a decreased lung cancer risk (in a codominant model: OR, 0.85; 95% CI, 0.73 to 0.997; p = 0.046) (Table 2). The rs13009079 T > C polymorphism was related to a risk of lung cancer with only marginal significance (under a dominant model: p = 0.07) (Supplementary Table 2).
Table 2.

Genotype frequencies of polymorphisms in male smokers lung cancer cases and controls

PolymorphismGeneAlleleCases[a]Controls[a]p value[b]OR (95% CI)[c]p value[c]
rs4975616TERT, CLPTM1LAA541 (76.5)429 (71.1)0.091.00
AG154 (21.8)161 (26.7)0.75 (0.58–0.97)0.03
GG12 (1.7)13 (2.2)0.67 (0.30–1.51)0.34
Dominant0.030.74 (0.58–0.96)0.02
Recessive0.550.72 (0.32–1.62)0.43
Codominant0.030.77 (0.61–0.96)0.02
rs9387478ROS1,DCBLD1CC231 (33.0)172 (28.4)0.131.00
CA326 (46.6)289 (47.8)0.83 (0.64–1.08)0.17
AA142 (20.3)144 (23.8)0.73 (0.54–1.00)0.05
Dominant0.070.80 (0.63–1.02)0.07
Recessive0.130.82 (0.63–1.07)0.15
Codominant0.040.85 (0.73–0.997)0.046

Values are presented as number (%).

OR, odds ratio; CI, confidence interval; TERT, telomerase reverse transcriptase; CLPTM1L, cleft lip and palate transmembrane protein 1; ROS1, ROS proto-oncogene 1, receptor tyrosine kinase; DCBLD1, discoidin, CUB and LCCL domain containing 1.

Number may not add up total number of patients due to genotype failures.

p value for chi-square test.

OR, 95% CI and their corresponding p values were calculated using unconditional logistic regression analysis, adjusted for age and pack-years of smoking.

In this study, the median value of smoking was 35 pack-years. So we classified cases with less than 35 packyears as lighter smokers and those with more than 35 pack-years as heavier smokers. When stratified by packyears of smoking, the effect of rs4975616 A > G on the lung cancer risk was significant in lighter smokers (OR, 0.65; 95% CI, 0.47 to 0.90; p = 0.01), but not in heavier smokers (OR, 0.90; 95% CI, 0.65 to 1.24, p = 0.52) (Table 3). The effect of rs9387478 C > A on the lung cancer risk was also observed in lighter smokers (p = 0.02). Upon stratification by histological subtype, the association between rs4975616 A > G or rs9387478 C > A and the risk of lung cancer was predominant in adenocarcinoma (p = 0.03 and p = 0.05, respectively) (Table 3). In small cell lung cancer, there was no evidence that either polymorphism was associated with a risk of lung cancer.
Table 3.

Association between polymorphisms and lung cancer risk according to age, pack-years of smoking and histological subtype

Gene/polymorphismVariableCases
Controls
Adjusted OR (95% CI)[c]
1/1[a]1/22/21/11/22/2p value[b]1/1Codominant modelp value[c]
TERT-CLPTM1L rs4975616Age, yr
 ≤ 61248 (75.8)74 (22.6)5 (1.5)227 (71.2)83 (26.0)9 (2.8)0.131.000.79 (0.58–1.07)0.13
 > 61293 (77.1)80 (21.1)7 (1.8)202 (71.1)78 (27.5)4 (1.4)0.141.000.78 (0.57–1.07)0.13
Pack-years
 ≤ 35236 (79.5)57 (19.2)4 (1.3)271 (70.4)107 (27.8)7 (1.8)0.031.000.65 (0.47–0.90)0.01
 > 35305 (74.4)97 (23.7)8 (2.0)158 (72.5)54 (24.8)6 (2.8)0.761.000.90 (0.65–1.24)0.52
Histology
 SQCC268 (76.8)75 (21.5)6 (1.7)429 (71.1)161 (26.7)13 (2.2)0.071.000.78 (0.59–1.02)0.07
 AC162 (77.5)46 (22.0)1 (0.5)429 (71.1)161 (26.7)13 (2.2)0.041.000.68 (0.48–0.97)0.03
 SCLC86 (72.9)28 (23.7)4 (3.4)429 (71.1)161 (26.7)13 (2.2)0.921.000.98 (0.66–1.44)0.91
ROS -DCBLD1 rs9387478Age, yr
 ≤ 61103 (32.0)155 (48.1)64 (19.9)93 (28.6)155 (47.7)77 (23.7)0.201.000.87 (0.70–1.08)0.20
 > 61128 (34.0)171 (45.4)78 (20.7)79 (28.2)134 (47.9)67 (23.9)0.121.000.82 (0.66–1.02)0.08
Pack-years
 ≤ 35102 (34.7)135 (45.9)57 (19.4)108 (27.8)184 (47.4)96 (24.7)0.091.000.78 (0.63–0.97)0.02
 > 35129 (31.9)191 (47.2)85 (21.0)64 (29.5)105 (48.4)48 (22.1)0.831.000.93 (0.74–1.17)0.55
Histology
 SQCC114 (33.1)158 (45.9)72 (20.9)172 (28.4)289 (47.8)144 (23.8)0.121.000.87 (0.72–1.04)0.13
 AC73 (35.3)93 (44.9)41 (19.8)172 (28.4)289 (47.8)144 (23.8)0.061.000.80 (0.64–1.00)0.05
 SCLC32 (27.6)60 (51.7)24 (20.7)172 (28.4)289 (47.8)144 (23.8)0.751.000.96 (0.72–1.27)0.76

Values are presented as number (%).

OR, odds ratio; CI, confidence interval; TERT, telomerase reverse transcriptase; CLPTM1L, cleft lip and palate transmembrane protein 1; SQCC, squamous cell carcinoma; AC, adenocarcinoma; SCLC, small cell lung cancer; ROS1, ROS proto-oncogene 1, receptor tyrosine kinase; DCBLD1, discoidin, CUB and LCCL domain containing 1.

1 denotes a wild allele and 2 denotes a variant allele.

p value for chi-square test.

OR, 95% CI and their corresponding p value were calculated using unconditional logistic regression analysis.

DISCUSSION

In this study, we investigated the impact of 11 polymorphisms, which influenced the risk of LCINS, on the risk of lung cancer in male smokers. The rs4975616 A > G and rs9387478 C > A polymorphisms were associated with a decreased lung cancer risk in male smokers. The rs4975616 polymorphism is located near telomerase reverse transcriptase (TERT) and cleft lip and palate transmembrane protein 1 (CLPTM1L) on chromosome 5p15.33. TERT is one of the major functional subunits of the telomerase enzyme, which plays a critical role in the maintenance of telomere length [11]. CLPTM1L encodes a membrane protein that causes apoptosis when overexpressed in cisplatin-sensitive cells [12]. A number of studies have demonstrated that the TERT-CLPTML1 region of chromosome 5P15.33 is a common susceptibility locus for multiple cancers, including lung cancer [13-17]. A GWAS has reported that rs4975616 A > G is associated with a decreased lung cancer risk in never smokers [6]. In this study, we found that rs4975616 A > G was also associated with decreased lung cancer risk in male smokers. When stratified by pack-years of smoking, the effect of rs4975616 A > G on the risk of lung cancer was significant in lighter smokers, but not in heavier smokers. These results suggest that the rs4975616 variant allele may be associated with a risk of lung cancer, but only in never or lighter smokers. The rs4975616 A > G polymorphism was not associated with the risk of small cell lung cancer. The effect of rs4975616 A > G on the lung cancer risk was predominant in the patients with adenocarcinoma. A varied effect of rs4975616 A > G, based on the lung cancer histological type, has also been reported in a GWAS of never smokers [6]. In that study, the rs4975616 A > G polymorphism decreased the lung cancer risk in adenocarcinoma, but not in small cell lung cancer [6]. The similar result for the effect of rs4975616 A > G on the lung cancer risk in male smokers, as in non-smokers, suggests that the effect of this variant on the lung cancer risk may not be specific to non-smokers. It was reported that TERTCLPTM1 locus polymorphisms were associated with telomere length [18]. So, there is a possibility that the TERT-CLPTM1L rs4975616 A > G may influence on telomere length and affect lung cancer susceptibility. There may be in linkage disequilibrium between rs4975616 and other functional polymorphisms affecting telomere length. Additional studies are needed to understand the biological mechanism of rs4975616 A > G on lung cancer development. The rs9387478 polymorphism is located in an interval between ROS proto-oncogene 1, receptor tyrosine kinase (ROS1) and discoidin, CUB and LCCL domain containing 1 (DCBLD1) on chromosome 6p21.2. ROS1 functions as a receptor tyrosine kinase. Increased expression or rearrangement of ROS1 has been reported in nonsmall cell lung cancer [19]. Little is known regarding the functional role of DCBLD1. A GWAS has identified that rs9387478 C > A is associated with a decreased lung cancer risk in never-smoking women in Asia [4]. In that study, rs9387478 was associated with a risk of adenocarcinoma, when analyzed by the histological subtype of lung cancer [4]. In this study, rs9387478 was also associated with a decreased lung cancer risk in male smokers, and the association was significant for adenocarcinoma only. Different EGFR mutation status has been reported, based on the rs9387478 genotypes. In never-smoking female lung cancer cases, the frequency of the rs9387478 AA genotype was significantly higher in the EGFR mutation-negative group than in the EGFR mutation-positive group [20]. Therefore, the varied effects of rs9387478 A > G on the risk of lung cancer, according to the histological subtype, may have been due to the different EGFR mutations. In this study, the association between the rs9387478 genotypes and the EGFR mutation status was not evaluated. There are several limitations in this study. First, the p value of ROS1-DCBLD1 rs9387478 was less than 0.05 in the codominant model. However, the p value has marginal significance when considering multiple tests. Second, the relationship with survival outcomes is not investigated. For example, the ROS1-DCBLD1 rs9387478 was reported to correlate with overall survival in female nonsmoking patients with lung cancer [20]. However, we could not analyze survival outcomes of male smokers due to lack of survival data. And a lack of functional study may also be a weakness of this study. Our study has shown that the effects of polymorphisms are not confined to never smokers. Two polymorphisms were associated with lung cancer risk in both never-smoking females and male smokers. Since there are little known about the functional roles of these polymorphisms, the reasons why they are related to lung cancer risk are unclear. Additional studies on the polymorphisms may reveal the etiology of lung cancer other than smoking. In summary, polymorphisms that are known to be associated with the risk of LCINS were not specific to never smokers. The TERT-CLPTM1L rs4975616 A > G and ROS1-DCBLD1 rs9387478, which were identified in GWAS of never-smoking females, were also associated with the risk of lung cancer in male smokers. 1. This study was conducted to evaluate the association between 11 polymorphisms identified in female never smokers and the lung cancer risk in male smokers. 2. The telomerase reverse transcriptase (TERT)-cleft lip and palate transmembrane protein 1 (CLPTM1L) rs4975616 and ROS proto-oncogene 1, receptor tyrosine kinase (ROS1)-discoidin, CUB and LCCL domain containing 1 (DCBLD1) rs9387478, which were identified in genome-wide association studies of never-smoking females, were also associated with the risk of lung cancer in male smokers.
  20 in total

1.  Protein composition of catalytically active human telomerase from immortal cells.

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Journal:  J Clin Oncol       Date:  2012-01-03       Impact factor: 44.544

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Authors:  Zsofia Kote-Jarai; Ali Amin Al Olama; Graham G Giles; Gianluca Severi; Johanna Schleutker; Maren Weischer; Daniele Campa; Elio Riboli; Tim Key; Henrik Gronberg; David J Hunter; Peter Kraft; Michael J Thun; Sue Ingles; Stephen Chanock; Demetrius Albanes; Richard B Hayes; David E Neal; Freddie C Hamdy; Jenny L Donovan; Paul Pharoah; Fredrick Schumacher; Brian E Henderson; Janet L Stanford; Elaine A Ostrander; Karina Dalsgaard Sorensen; Thilo Dörk; Gerald Andriole; Joanne L Dickinson; Cezary Cybulski; Jan Lubinski; Amanda Spurdle; Judith A Clements; Suzanne Chambers; Joanne Aitken; R A Frank Gardiner; Stephen N Thibodeau; Dan Schaid; Esther M John; Christiane Maier; Walther Vogel; Kathleen A Cooney; Jong Y Park; Lisa Cannon-Albright; Hermann Brenner; Tomonori Habuchi; Hong-Wei Zhang; Yong-Jie Lu; Radka Kaneva; Ken Muir; Sara Benlloch; Daniel A Leongamornlert; Edward J Saunders; Malgorzata Tymrakiewicz; Nadiya Mahmud; Michelle Guy; Lynne T O'Brien; Rosemary A Wilkinson; Amanda L Hall; Emma J Sawyer; Tokhir Dadaev; Jonathan Morrison; David P Dearnaley; Alan Horwich; Robert A Huddart; Vincent S Khoo; Christopher C Parker; Nicholas Van As; Christopher J Woodhouse; Alan Thompson; Tim Christmas; Chris Ogden; Colin S Cooper; Aritaya Lophatonanon; Melissa C Southey; John L Hopper; Dallas R English; Tiina Wahlfors; Teuvo L J Tammela; Peter Klarskov; Børge G Nordestgaard; M Andreas Røder; Anne Tybjærg-Hansen; Stig E Bojesen; Ruth Travis; Federico Canzian; Rudolf Kaaks; Fredrik Wiklund; Markus Aly; Sara Lindstrom; W Ryan Diver; Susan Gapstur; Mariana C Stern; Roman Corral; Jarmo Virtamo; Angela Cox; Christopher A Haiman; Loic Le Marchand; Liesel Fitzgerald; Suzanne Kolb; Erika M Kwon; Danielle M Karyadi; Torben Falck Orntoft; Michael Borre; Andreas Meyer; Jürgen Serth; Meredith Yeager; Sonja I Berndt; James R Marthick; Briony Patterson; Dominika Wokolorczyk; Jyotsna Batra; Felicity Lose; Shannon K McDonnell; Amit D Joshi; Ahva Shahabi; Antje E Rinckleb; Ana Ray; Thomas A Sellers; Hui-Yi Lin; Robert A Stephenson; James Farnham; Heiko Muller; Dietrich Rothenbacher; Norihiko Tsuchiya; Shintaro Narita; Guang-Wen Cao; Chavdar Slavov; Vanio Mitev; Douglas F Easton; Rosalind A Eeles
Journal:  Nat Genet       Date:  2011-07-10       Impact factor: 38.330

6.  Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia.

Authors:  Qing Lan; Chao A Hsiung; Keitaro Matsuo; Yun-Chul Hong; Adeline Seow; Zhaoming Wang; H Dean Hosgood; Kexin Chen; Jiu-Cun Wang; Nilanjan Chatterjee; Wei Hu; Maria Pik Wong; Wei Zheng; Neil Caporaso; Jae Yong Park; Chien-Jen Chen; Yeul Hong Kim; Young Tae Kim; Maria Teresa Landi; Hongbing Shen; Charles Lawrence; Laurie Burdett; Meredith Yeager; Jeffrey Yuenger; Kevin B Jacobs; I-Shou Chang; Tetsuya Mitsudomi; Hee Nam Kim; Gee-Chen Chang; Bryan A Bassig; Margaret Tucker; Fusheng Wei; Zhihua Yin; Chen Wu; She-Juan An; Biyun Qian; Victor Ho Fun Lee; Daru Lu; Jianjun Liu; Hyo-Sung Jeon; Chin-Fu Hsiao; Jae Sook Sung; Jin Hee Kim; Yu-Tang Gao; Ying-Huang Tsai; Yoo Jin Jung; Huan Guo; Zhibin Hu; Amy Hutchinson; Wen-Chang Wang; Robert Klein; Charles C Chung; In-Jae Oh; Kuan-Yu Chen; Sonja I Berndt; Xingzhou He; Wei Wu; Jiang Chang; Xu-Chao Zhang; Ming-Shyan Huang; Hong Zheng; Junwen Wang; Xueying Zhao; Yuqing Li; Jin Eun Choi; Wu-Chou Su; Kyong Hwa Park; Sook Whan Sung; Xiao-Ou Shu; Yuh-Min Chen; Li Liu; Chang Hyun Kang; Lingmin Hu; Chung-Hsing Chen; William Pao; Young-Chul Kim; Tsung-Ying Yang; Jun Xu; Peng Guan; Wen Tan; Jian Su; Chih-Liang Wang; Haixin Li; Alan Dart Loon Sihoe; Zhenhong Zhao; Ying Chen; Yi Young Choi; Jen-Yu Hung; Jun Suk Kim; Ho-Il Yoon; Qiuyin Cai; Chien-Chung Lin; In Kyu Park; Ping Xu; Jing Dong; Christopher Kim; Qincheng He; Reury-Perng Perng; Takashi Kohno; Sun-Seog Kweon; Chih-Yi Chen; Roel Vermeulen; Junjie Wu; Wei-Yen Lim; Kun-Chieh Chen; Wong-Ho Chow; Bu-Tian Ji; John K C Chan; Minjie Chu; Yao-Jen Li; Jun Yokota; Jihua Li; Hongyan Chen; Yong-Bing Xiang; Chong-Jen Yu; Hideo Kunitoh; Guoping Wu; Li Jin; Yen-Li Lo; Kouya Shiraishi; Ying-Hsiang Chen; Hsien-Chih Lin; Tangchun Wu; Yi-Long Wu; Pan-Chyr Yang; Baosen Zhou; Min-Ho Shin; Joseph F Fraumeni; Dongxin Lin; Stephen J Chanock; Nathaniel Rothman
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Journal:  Future Oncol       Date:  2011-10       Impact factor: 3.404

9.  The 5p15.33 locus is associated with risk of lung adenocarcinoma in never-smoking females in Asia.

Authors:  Chao Agnes Hsiung; Qing Lan; Yun-Chul Hong; Chien-Jen Chen; H Dean Hosgood; I-Shou Chang; Nilanjan Chatterjee; Paul Brennan; Chen Wu; Wei Zheng; Gee-Chen Chang; Tangchun Wu; Jae Yong Park; Chin-Fu Hsiao; Yeul Hong Kim; Hongbing Shen; Adeline Seow; Meredith Yeager; Ying-Huang Tsai; Young Tae Kim; Wong-Ho Chow; Huan Guo; Wen-Chang Wang; Sook Whan Sung; Zhibin Hu; Kuan-Yu Chen; Joo Hyun Kim; Ying Chen; Liming Huang; Kyoung-Mu Lee; Yen-Li Lo; Yu-Tang Gao; Jin Hee Kim; Li Liu; Ming-Shyan Huang; Tae Hoon Jung; Guangfu Jin; Neil Caporaso; Dianke Yu; Chang Ho Kim; Wu-Chou Su; Xiao-Ou Shu; Ping Xu; In-San Kim; Yuh-Min Chen; Hongxia Ma; Min Shen; Sung Ick Cha; Wen Tan; Chin-Hao Chang; Jae Sook Sung; Mingfeng Zhang; Tsung-Ying Yang; Kyong Hwa Park; Jeff Yuenger; Chih-Liang Wang; Jeong-Seon Ryu; Yongbing Xiang; Qifei Deng; Amy Hutchinson; Jun Suk Kim; Qiuyin Cai; Maria Teresa Landi; Chong-Jen Yu; Ju-Yeon Park; Margaret Tucker; Jen-Yu Hung; Chien-Chung Lin; Reury-Perng Perng; Paolo Boffetta; Chih-Yi Chen; Kun-Chieh Chen; Shi-Yi Yang; Chi-Yuan Hu; Chung-Kai Chang; Joseph F Fraumeni; Stephen Chanock; Pan-Chyr Yang; Nathaniel Rothman; Dongxin Lin
Journal:  PLoS Genet       Date:  2010-08-05       Impact factor: 5.917

10.  Functional polymorphisms in the TERT promoter are associated with risk of serous epithelial ovarian and breast cancers.

Authors:  Jonathan Beesley; Hilda A Pickett; Sharon E Johnatty; Alison M Dunning; Xiaoqing Chen; Jun Li; Kyriaki Michailidou; Yi Lu; David N Rider; Rachel T Palmieri; Michael D Stutz; Diether Lambrechts; Evelyn Despierre; Sandrina Lambrechts; Ignace Vergote; Jenny Chang-Claude; Stefan Nickels; Alina Vrieling; Dieter Flesch-Janys; Shan Wang-Gohrke; Ursula Eilber; Natalia Bogdanova; Natalia Antonenkova; Ingo B Runnebaum; Thilo Dörk; Marc T Goodman; Galina Lurie; Lynne R Wilkens; Rayna K Matsuno; Lambertus A Kiemeney; Katja K H Aben; Tamara Marees; Leon F A G Massuger; Brooke L Fridley; Robert A Vierkant; Elisa V Bandera; Sara H Olson; Irene Orlow; Lorna Rodriguez-Rodriguez; Linda S Cook; Nhu D Le; Angela Brooks-Wilson; Linda E Kelemen; Ian Campbell; Simon A Gayther; Susan J Ramus; Aleksandra Gentry-Maharaj; Usha Menon; Shahana Ahmed; Caroline Baynes; Paul D Pharoah; Kenneth Muir; Artitaya Lophatananon; Arkom Chaiwerawattana; Surapon Wiangnon; Stuart Macgregor; Douglas F Easton; Roger R Reddel; Ellen L Goode; Georgia Chenevix-Trench
Journal:  PLoS One       Date:  2011-09-15       Impact factor: 3.240

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