Literature DB >> 18087276

Use of NSAIDs, smoking and lung cancer risk.

J H Olsen1, S Friis, A H Poulsen, J Fryzek, H Harving, A Tjønneland, H T Sørensen, W Blot.   

Abstract

We investigated the risk of lung cancer in relation to non-steroidal anti-inflammatory drugs (NSAIDs) among 573 cases and 857 sex- and age-matched controls for whom we had information on use of NSAIDs, from a prescription database covering all pharmacies in Denmark since 1995, and self-reported NSAID use, smoking habits and other potential confounders. Associations were expressed as odds ratios, assessed by logistic regression in unmatched analyses. After controlling for smoking habits, length of education and concomitant use of acetaminophen, we found a slightly decreased relative risk of 0.86 (95% confidence intervals, 0.65-1.14) for lung cancer associated with any use of NSAIDs. The risk decreased significantly (P=0.02) with increasing numbers of dispensed prescriptions per year during the 1-3 years before the index date with a relative risk of 0.49 (0.28-0.84) among those with four or more prescriptions per year during this period. Our findings suggest that regular use of NSAIDs is associated with a slightly or moderately reduced risk for lung cancer.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18087276      PMCID: PMC2359699          DOI: 10.1038/sj.bjc.6604151

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) used in relation to lung cancer have been investigated in at least 20 studies, including four hospital-based case–control studies (Rosenberg, 1995; Harris ; Moysich ; Muscat ), fourteen cohort studies (Paganini-Hill ; Thun ; Schreinemachers and Everson, 1994; Langman ; Akhmedkhanov ; Friis ; Holick ; Sørensen ; Ratnasinghe ; Skriver ; Hayes ; Hernández-Diaz and Rodriguez, 2007; Jacobs ; Wall ) and three randomised trials (Peto ; Lee ; Cook ). Significantly decreased risks were observed in three of the four hospital-based case–control studies (Rosenberg, 1995; Harris ; Moysich ), although all were based on self-reported drug use after diagnosis of cancer, raising the possibility of recall bias. Of the remaining studies in which drug details were obtained before diagnosis, only three found significant inverse associations, two (but with overlapping data) with regular aspirin use (Schreinemachers and Everson, 1994; Ratnasinghe ) and a third with other NSAID use (Hernández-Diaz and Rodriguez, 2007). The remaining studies, including the three low-dose aspirin randomised trials (Peto ; Lee ; Cook ) and a Danish cohort study that we previously reported (Skriver ), revealed a modest, nonsignificantly decreased risk, no appreciable effect or an increased risk, respectively. The observational studies relied either on self-reported use of NSAIDs or did not control sufficiently for smoking habits. We examined the association between use of NSAIDs and lung cancer risk based on pooling of data from two studies. We used self-reported information on drug use as well as a continuously updated prescription database covering all pharmacies in Denmark since 1995 (Gaist ), supplemented by self-reported smoking habits.

MATERIALS AND METHODS

Northern Jutland case–control study

For this study, we recruited patients who had been referred to one of four regional pulmonary centres in the northern part of Jutland during 2002–2005 for a broncho-mediastinoscopic examination because of an abnormal or suspect finding on a chest radiograph. We invited a total of 546 persons, of whom 416 (76%) agreed to participate. On the date of arrival of the patient at the outpatient clinic, defined as the index date, the study nurse conducted a structured face-to-face interview before a broncho-mediastinoscopy was undertaken. In addition to personal data, which included the personal identification number, the patient was asked about use of NSAIDs and acetaminophen, details of current and past smoking habits and occupational training. Of the 416 patients recruited, 165 (99 men and 66 women) were subsequently diagnosed with a biopsy-confirmed lung cancer; the remaining 251 patients (60%) were considered to have benign lung disease or an inert lung lesion and were accordingly excluded from study. We excluded a further 20 of the 165 patients with lung cancer who were listed in the Danish National Cancer Registry with a previous malignancy and one who was under the age of 40 years at the time of diagnosis, leaving 144 patients for the combined analysis. We selected 1071 control persons from the general population of northern Jutland, frequency matched on sex and age on the index date to the lung cancer patients. Of these, 449 (42%) agreed to participate and completed the same face-to-face interview as that used for the cases, but in their homes. Linkage to the files of the Cancer Registry showed that 21 of these persons had had a cancer before the index date and they were excluded, leaving 428 controls for analysis.

Nested case–control study

This study is nested within the Danish Diet, Cancer and Health prospective cohort study described in detail elsewhere (Tjønneland , 2004). It was established by the Danish Cancer Society in 1993–1997, when 160 725 persons (80 996 men and 79 729 women) aged 50–64 years, resident in Copenhagen or Aarhus (the two largest cities in Denmark) and born in Denmark, were invited to participate; of these, 57 052 (35.5%) agreed to participate. A mailed questionnaire requested detailed information on current use of analgesics, current and past smoking habits and occupational training. Record linkage to the files of the Danish National Cancer Registry showed that 545 participants had been diagnosed with cancer before enrolment; these were excluded. Of the remaining 56 511, 429 (228 men and 201 women), diagnosed with lung cancer between the day of enrolment and 2003, formed the case group. For each case, we used random incidence density sampling to select one control subject matched to the case on sex and age, yielding a control group of 228 men and 201 women. The date of diagnosis of cases was defined as the index date.

Non-steroidal anti-inflammatory drugs and acetaminophen data

To assess use of aspirin, other NSAIDs and acetaminophen among cases and controls in these two studies, we combined self-reported information from the questionnaire with information from a national prescription database (Danish Registry of Medical Product Statistics) at the Danish Medicines Agency (Gaist ). The questionnaire included questions on use of specified pain-relieving pills (aspirin, other NSAIDs, acetaminophen) and frequency of use. The database holds records of all drug prescriptions dispensed at all pharmacies in Denmark since 1 January 1995, including the customer's personal number, type and amount of drug prescribed according to the Anatomical Therapeutic Chemical (ATC) classification system (Capellá, 1993) and date of dispensing. Indications for use and the recommended dosing schedule are not included. For each of the 573 (144+429) cases and the 857 (428+429) controls, we identified all prescriptions for aspirin (ATC codes: B01AC06, N02BA01, N02BA51), other NSAIDs (ATC group: M01A) and acetaminophen (N02BE01) filed between 1995 to 2005. In Denmark, NSAIDs other than aspirin are available only by prescription, except for low-dose ibuprofen (200 mg per tablet), which is available over the counter (OTC) and accounts for approximately 14% of the total NSAID use (Mellemkjær ). Aspirin and acetaminophen can be obtained OTC but are often prescribed for long-term use; a substantial proportion of prescribed aspirin is low dose for secondary prevention of cardiovascular disease, generally under the control of a physician.

Statistical analysis

We estimated lung cancer risk among subjects who had reported or were registered as having any use of NSAIDs relative to that in subjects with no such use. Self-reported use of NSAIDs and acetaminophen was defined as use approximately 1–5 years prior to the index date in the northern Jutland case–control study and as intake during the year before the base line interview in the nested case–control study. This implies that slightly different windows for self-reported use were, that is, 2002–2005 in the Northern Jutland case–control study and 1993–1997 in the nested case–control study. Prescribed use in both studies was defined as any use of NSAIDs or acetaminophen 1 year or more before the index date. A lag time of 12 months from the index date was to avoid registrations of mild analgesics given to treat early symptoms of lung cancer. As the prospective Diet, Cancer and Health cohort study was initiated in December 1993 and the prescription database on 1 January 1995, no data were available on prescribed NSAIDs for lung cancer cases diagnosed between these dates; accordingly, they were excluded from analyses based on personal prescriptions. Associations were expressed as odds ratios (ORs), assessed by logistic regression in unmatched analyses, in which the matching criteria (year of birth, sex and study) were included as covariates with 95% confidence intervals (95% CI). Non-steroidal anti-inflammatory drug-specific risk estimates were adjusted for smoking habits, occupational training (unskilled worker; skilled worker; bachelor; a master's degree or higher) and concomitant use of acetaminophen. These analyses were conducted on the combined study data as well as separately on the two contributing studies. Risk associated with self-reported use was estimated separately by frequency (never, ever, monthly, weekly, daily) and by prescribed use, being the average number of prescriptions per year in the 1–3 years before the index date (0.5–2, 2–3, ⩾4), the lowest being 0.5, equivalent to at least one in a 2-year period. The statistical analyses were performed in SAS 9.1.

Meta-analysis of previously published data

We combined information from all published studies of lung cancer in relation to aspirin and non-aspirin (or unspecified) NSAID use providing ORs, standardised mortality ratios, or other measures of risk in users relative to non-users. Where relative risks were presented only among subsets of users and not overall, we utilised the data for the consumers with the heaviest intake. Since multiple types of study design were used, for the meta-analysis, we abstracted or computed the observed and expected number of lung cancer cases among NSAID users for each study and summed them across studies to compute a summary meta-analytic relative risk measure for users of aspirin and other NSAIDs with 95% CI computed under Poisson assumptions for the numbers observed among NSAID users.

RESULTS

The characteristics of the 573 lung cancer cases and the 857 sex- and age-matched controls are shown in Table 1; they comprised more men (55%) than women. The average age at diagnosis was 64 years. The cases comprised 26% adeno-, 24% squamous cell, 22% small-cell and 10% non-small-cell carcinomas; 6% were of other specified histological types and 3% lacked microscopic confirmation. Table 2 shows the relative risks for lung cancer associated with smoking habits and occupational training. Current smokers who had an estimated cumulative tobacco consumption of 1–14, 15–29 and 30 or more pack-years had highly significant 5-fold, 12-fold and 29-fold increased risks, respectively, compared to study subjects who had never smoked. After adjustment for smoking habits, skilled and unskilled workers had significant 2.1- and 1.7-fold higher risks, respectively, than those with higher education.
Table 1

Descriptive characteristics of 1430 study subjects in two case–control studies of lung cancer and use of NSAIDs

  Northern Jutland case–control study
Case–control study nested in diet and cancer cohort study
Combined study
Characteristic Cases % Controls % Cases % Controls % Cases % Controls %
Both sexes 144100428100429100429100573100857100
 Men87602455722853228533155547355
 Women57401834320147201472584538445
             
Year of birth
 <1930251769166100315698
 1930–194489622505840795413964968766377
 ⩾194530211092616416446812515
             
Age at diagnosisa (years)
 <603424123291303013131164292543
 60–6951351794227163271633225645053
 ⩾70594112629287276871515318
             
Mean age (s.d.) (years)67(9)65(9)63(5)63(5)64(6)64(7)
             
Year of diagnosis
 1994–9600409407
 1997–99001463414625
 2000–02002044820436
 2003–0514410039918332
             
Year of interview (range)2002–2005  1993–1997  1993–2005  

Age at diagnosis of lung cancer for cases and age at index date for controls.

Table 2

ORs for lung cancer by smoking habit and length of education, with associated 95% CIs

  Cases/controls Lung cancer
Risk factor 573/857 ORa 95% CI ORb 95% CI
Smoking habit      
 Never23/2841Reference
      
Former
  >10 years since quitting51/2432.841.62–4.97
  ⩽10 years since quitting52/5816.08.22–31.1
      
Current
  1–14 pack-years15/364.762.21–10.3
  15–29 pack-years74/7712.47.19–21.5
  ⩾30 pack-years353/14928.917.8–47.1
      
Age at start (years)
  >2051/891Reference1Reference
  15–20342/3591.701.14–2.521.611.04–2.50
  <15157/1242.821.74–4.562.531.45–4.41
 Missing information5/10    
      
Occupational training      
 Master's degree or higher73/1371Reference1Reference
 Bachelor's degree149/2501.270.87–1.851.100.69–1.76
 Skilled worker170/2722.251.49–3.412.071.27–3.38
 Unskilled worker173/1892.911.91–4.441.681.02–2.76
 Missing information8/9    

CI=confidence interval; OR, odds ratio.

Adjusted for age, sex and study.

Adjusted for age, sex, study and smoking habit.

Use of acetaminophen at any time was associated with a modest but significantly increased relative risk of 1.34 (95% CI, 1.07–1.68), which, however, was reduced to a nonsignificantly increased risk of 1.11 after adjustment for smoking habits and occupational training (data not shown). Table 3 also shows that 362 (63%) of the 573 cases and 584 (68%) of the 857 controls had ever used NSAIDs; this was associated with a nonsignificant 14% decrease in risk after adjustment for age, sex, sub-study, smoking habits, length of education and use of acetaminophen (OR, 0.86). There was no clear variation in risk estimates for aspirin only, other NSAIDs only or mixed use, although risk reduction with aspirin only was slightly greater.
Table 3

ORs for lung cancer and 95% CIs by pattern of use of NSAIDs

  Cases/controls Full study
Northern Jutland Diet and cancer cohort
Use of NSAIDS or acetaminophen 573/857 ORa ORb 95% CI ORb ORb
NSAIDs
 Neverc211/27311Reference11
 Any362/5840.920.860.65–1.140.780.91
 Aspirin only71/1170.760.750.49–1.140.920.64
 Other NSAIDs only156/2730.900.870.62–1.230.631.07
 Mixed135/1941.090.940.65–1.350.980.97
       
Self-reported
 Monthly63/1000.780.820.52–1.270.850.85
 Weekly47/640.820.790.46–1.341.160.79
 Daily86/1611.120.770.50–1.180.730.84
       
Prescriptions/year d
 0.5–2122/1880.980.900.62–1.310.591.10
 2–354/860.950.810.50–1.320.830.67
 ⩾433/790.660.490.28–0.840.430.53
       
Test for trend (P) 0.300.02 0.070.32

CI=confidence interval; OR, odds ratio.

Adjusted estimates are given for the combined study as well as for the Northern Jutland and Diet and Cancer cohort sub-studies.

Adjusted for age, sex and study.

Adjusted for age, sex, study, smoking habit, length of education and use of acetaminophen.

No self-reported use or prescriptions >1 year before index date.

Exposure 1–3 years before index date.

For self-reported use of all types of NSAIDs combined, we observed little differences in relative risks for monthly vs weekly vs daily use (Table 3). The adjusted relative risk for daily users was 0.77 (95% CI, 0.50–1.18). The trend analysis on the basis of all NSAID prescriptions dispensed at pharmacies since 1995 showed a reduced risk with increasing frequency of prescriptions. In the fully adjusted model, study subjects who received the highest number of prescriptions per year, that is at least four, had the lowest risk estimate (OR, 0.49; 95% CI, 0.28–0.84) (Table 3) composed of separate estimates of 0.43 (0.16–1.13) in the northern Jutland case–control study and 0.53 (0.27–1.06) in the case–control study nested in the prospective Diet, Cancer and Health cohort study. For the combined study material, the decreasing trend in risk with increasing number of annual prescriptions reached statistical significance (Table 3). The protective effect of heavily prescribed use of NSAIDs was more apparent for adeno-, or 0.12 (95% CI 0.03–0.51) associated with at least four prescriptions per year, than for squamous cell (RR 0.49; 95% CI 0.13–1.90) or small-cell and large-cell carcinomas combined (0.72; 0.17–2.98), although these estimates were based on small numbers (data not shown). Table 4 shows that trends of decreasing risk of lung cancer with rising number of prescriptions were apparent for both aspirin and other NSAIDs, being slightly stronger for the latter. As previously indicated, the prescribed aspirin users were mainly users of low-dose aspirin.
Table 4

ORs for lung cancer and 95% CIs by prescribed use of aspirin and other NSAIDs

  Aspirinb
Other NSAIDs
Prescriptions/yeara Cases/controls ORc 95% CI Cases/controls ORc 95% CI
Never211/2731211/2731
0.5–234/480.830.45–1.53112/1900.840.57–1.22
2–336/690.620.36–1.0626/430.770.40–1.47
⩾414/220.740.32–1.7113/360.410.18–0.93
       
Test for trend (P) 0.09 0.06  

CI=confidence interval; OR, odds ratio.

Exposure 1–3 years before index date.

Mainly low-dose aspirin for secondary prevention of cardiovascular disease.

Fully adjusted model.

Table 5 summarises results from our meta-analysis of previous investigations and shows that while case–control studies and trials reported lower risks among NSAID users, there was much less consistency among the 14 cohort studies. Across all studies, there was heterogeneity of findings, with the relative risks ranging from 0.3 to 1.4. When reported data were weighted by the expected numbers of lung cancers among NSAID users, the summary relative risk among aspirin users was 0.99 (95% CI, 0.95–1.03; P=0.62); for non-aspirin (or unspecified) NSAIDs, it was 0.92 (95% CI, 0.88–0.95; P<0.001) and for aspirin or non-aspirin NSAIDs, 0.95 (95% CI, 0.93–0.98; P<0.001). Adding our own results to the meta-analysis results in slightly lower overall risk estimates among NSAID users.
Table 5

Meta-analysis of studies of lung cancer in relation to NSAID use

Study type First author (year) Location Sex NSAID evaluated Number of lung cancer cases in users RR 95% CI
Case–control Rosenberg (1995) USM+FnaNSAIDs720.80.6–1.2
  Harris et al (2002) USM+FNSAIDs550.320.23–0.44
  Moysich et al (2002) USM+FASA1210.570.41–0.78
  Muscat et al (2003) USM+FNSAIDs1740.680.53–0.89
        
Cohort Paganini-Hill et al (1989) USMASA151.35NS
  USFASA20.29NS
  Thun et al (1993) USMASA2101.110.98–1.25
  USFASA1571.070.88–1.30
  Schreinemachers and Everson (1994) USMASA400.550.38–0.81
  USFASA321.400.74–2.66
  Akhmedkhanov et al (2002) USFASA150.660.34–1.28
  Friis et al (2003) DenmarkMASA1731.00.8–1.1
  DenmarkFASA1011.31.0–1.5
  Sørensen et al (2003) DenmarkM+FnaNSAIDs6921.11.0–1.2
  Holick et al (2003) USMASA2571.130.89–1.43
  Ratnasinghe et al (2004) USM+FASA2320.810.62–1.07
  Skriver et al (2005) DenmarkM+FnaNSAIDs2261.391.23–1.57
  Hayes et al (2006) USFASA1091.080.81–1.45
  USFnaNSAIDs611.100.80–1.51
  Jacobs et al (2007) USM+FASA850.980.76–1.25
  Wall et al (2007) USM+FnaNSAIDs2800.960.82–1.11
  Langman et al (2000) UKM+FNSAIDs1720.840.69–1.02
  Hernández-Diaz and Rodriguez (2007) UKM+FASA9581.120.99–1.28
   M+FnaNSAIDs9380.890.79–1.00
        
Trial Peto et al (1988) UKMASA140.64NS
  Lee et al (1995) USMASA640.880.62–1.25
  Cook et al (2007) USFASA900.780.59–1.03
        
All studies   ASA26750.990.95–1.03
    NSAID26700.920.88–0.95
    ASA/NSAID53450.950.93–0.98

naNSAID=non-aspirin (or unspecified) NSAID; ASA=aspirin; NS=not specified.

DISCUSSION

In this study of 573 patients with clinically and histologically verified lung cancer and 857 population controls, we observed an overall 14% non-statistically significant decrease in risk associated with any use of aspirin and other NSAIDs after adjustment for smoking habits, length of education and concomitant use of acetaminophen. In an analysis according to self-reported frequency of use, the risk reduction increased to 23%, although still nonsignificant, among self-described daily users of NSAIDs. Using objective pharmacy records, we observed a significant trend of decreasing risk with increasing numbers of prescriptions, with a 50% reduction those among those with at least four NSAID prescriptions per year 1–3 years before the index date. Despite the relative consistency of experimental data on COX-2 tissue expression and lung cancer risk and the inhibiting potential of NSAID treatment (Castonguay ; Hosomi ; Thun ), the overall epidemiological evidence for a protective effect of NSAIDs on lung cancer is weak. Our meta-analysis showed a significantly lowered risk, but only by 5%. Several of the studies were limited by small sample size with imprecise risk estimates, self-reported NSAID use, possibly biased selection of controls and/or lack of information on smoking habits. We addressed several of the above limitations. Its setting with a national health service largely removed referral and diagnostic biases. The availability of continuously updated information on NSAID use from all pharmacies in Denmark, in addition to self-reported information, helped us to minimise differential recall and error in exposure assessment. This approach allowed establishment of mutually exclusive exposure categories, including a reference group of non-users of both prescription and OTC NSAIDs. Recruitment of cases from highly specialised treatment centres and the Danish Cancer Registry ensured accurate ascertainment with minimal misclassification, and the availability of detailed information on smoking habits, length of education and use of acetaminophen reduced the risk for confounding. Using self-reported information, use of NSAIDs was associated with a modest, non-significant reduction in risk similar for the three frequency categories. A comparison of self-reported use and prescription records among participants in the Diet, Cancer and Health cohort revealed that only 28% of individuals who reported daily use of aspirin during the preceding year were so recorded in the prescription database indicating frequent OTC purchases. Conversely, of individuals filling two or more prescriptions for aspirin within 1 year prior to enrolment, 98% reported its use in the questionnaire at enrolment; the corresponding figures for non-aspirin NSAIDs were 78 and 96%, indicating some misclassification of self-reported data. The use of self-reported data vs prescription based records may explain the somewhat different results of the risk analyses. Although the self-reports ascertain OTC use not obtainable in the prescription register, we tend to place more confidence in the national database, where possible recall bias is eliminated. A limitation is that duration of prescribed NSAID use is unknown, as the nationwide prescription database was first started in 1995, preventing analyses by cumulative use, and our use of a yearly number of prescriptions issued during a relatively recent period might not be representative during the aetiologically relevant periods. We had no data on compliance with the prescriptions for NSAIDs, but the fact that the drugs were actually dispensed at pharmacies and paid in part by the customers and often refilled suggests that they were also consumed. Any non-compliance would bias the risk estimates towards the null. Our study, which overcomes some of the limitations that may have hindered the detection of a beneficial effect of NSAIDs in previous studies, provides some support for the hypothesis that regular use of NSAIDs protects against lung cancer. The issue remains uncertain, however, and more research using detailed data on NSAID use and smoking is needed.
  27 in total

1.  Nonsteroidal anti-inflammatory drugs and risk of lung cancer.

Authors:  Sonia Hernández-Díaz; Luis A García Rodríguez
Journal:  Int J Cancer       Date:  2007-04-01       Impact factor: 7.396

2.  Effect of anti-inflammatory drugs on overall risk of common cancer: case-control study in general practice research database.

Authors:  M J Langman; K K Cheng; E A Gilman; R J Lancashire
Journal:  BMJ       Date:  2000-06-17

3.  Upper gastrointestinal bleeding among users of NSAIDs: a population-based cohort study in Denmark.

Authors:  Lene Mellemkjaer; William J Blot; Henrik Toft Sørensen; Lars Thomassen; Joseph K McLaughlin; Gunnar Lauge Nielsen; Jørgen H Olsen
Journal:  Br J Clin Pharmacol       Date:  2002-02       Impact factor: 4.335

Review 4.  Nonsteroidal anti-inflammatory drugs as anticancer agents: mechanistic, pharmacologic, and clinical issues.

Authors:  Michael J Thun; S Jane Henley; Carlo Patrono
Journal:  J Natl Cancer Inst       Date:  2002-02-20       Impact factor: 13.506

5.  Increased cyclooxygenase 2 (COX-2) expression occurs frequently in precursor lesions of human adenocarcinoma of the lung.

Authors:  Y Hosomi; T Yokose; Y Hirose; R Nakajima; K Nagai; Y Nishiwaki; A Ochiai
Journal:  Lung Cancer       Date:  2000-11       Impact factor: 5.705

6.  Nonsteroidal anti-inflammatory drugs and lung cancer risk: a population-based case control study.

Authors:  Richard J Wall; Yu Shyr; Walter Smalley
Journal:  J Thorac Oncol       Date:  2007-02       Impact factor: 15.609

7.  Chemoprevention of lung cancer by non-steroidal anti-inflammatory drugs among cigarette smokers.

Authors:  Randall E Harris; Joanne Beebe-Donk; Hildegard M Schuller
Journal:  Oncol Rep       Date:  2002 Jul-Aug       Impact factor: 3.906

8.  Regular aspirin use and lung cancer risk.

Authors:  Kirsten B Moysich; Ravi J Menezes; Adrienne Ronsani; Helen Swede; Mary E Reid; K Michael Cummings; Karen L Falkner; Gregory M Loewen; Gerold Bepler
Journal:  BMC Cancer       Date:  2002-11-26       Impact factor: 4.430

9.  A population-based cohort study of the risk of colorectal and other cancers among users of low-dose aspirin.

Authors:  S Friis; H T Sørensen; J K McLaughlin; S P Johnsen; W J Blot; J H Olsen
Journal:  Br J Cancer       Date:  2003-03-10       Impact factor: 7.640

10.  Aspirin and lung cancer in women.

Authors:  A Akhmedkhanov; P Toniolo; A Zeleniuch-Jacquotte; K L Koenig; R E Shore
Journal:  Br J Cancer       Date:  2002-07-01       Impact factor: 7.640

View more
  15 in total

1.  Risk for Parkinson's disease among patients with osteoarthritis: a Danish cohort study.

Authors:  Kathrine Rugbjerg; Søren Friis; Thomas L Jørgensen; Beate Ritz; Lise Korbo; Jørgen H Olsen
Journal:  Mov Disord       Date:  2010-10-30       Impact factor: 10.338

2.  The role of NAG-1/GDF15 in the inhibition of intestinal polyps in APC/Min mice by sulindac.

Authors:  Xingya Wang; Philip J Kingsley; Larry J Marnett; Thomas E Eling
Journal:  Cancer Prev Res (Phila)       Date:  2011-01

3.  Elevated plasma 8-iso-prostaglandin F levels in human smokers originate primarily from enzymatic instead of non-enzymatic lipid peroxidation.

Authors:  Thomas J van 't Erve; Fred B Lih; Maria B Kadiiska; Leesa J Deterding; Ronald P Mason
Journal:  Free Radic Biol Med       Date:  2017-11-21       Impact factor: 7.376

4.  From COX-2 inhibitor nimesulide to potent anti-cancer agent: synthesis, in vitro, in vivo and pharmacokinetic evaluation.

Authors:  Bo Zhong; Xiaohan Cai; Snigdha Chennamaneni; Xin Yi; Lili Liu; John J Pink; Afshin Dowlati; Yan Xu; Aimin Zhou; Bin Su
Journal:  Eur J Med Chem       Date:  2011-11-15       Impact factor: 6.514

5.  Ibuprofen and fatal lung cancer: A brief report of the prospective results from the Third National Health and Nutrition Examination Survey (NHANES III).

Authors:  Marisa A Bittoni; David P Carbone; Randall E Harris
Journal:  Mol Clin Oncol       Date:  2017-05-05

6.  Racial and Ethnic Differences in the Relationship between Aspirin Use and Non-Small Cell Lung Cancer Risk and Survival.

Authors:  Patricia Erickson; Lisa D Gardner; Christopher A Loffredo; Diane Marie St George; Elise D Bowman; Janaki Deepak; Khadijah Mitchell; Claire L Meaney; Patricia Langenberg; Debra H Bernat; Sania Amr; Bríd M Ryan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-08-31       Impact factor: 4.254

Review 7.  COX inhibitors directly alter gene expression: role in cancer prevention?

Authors:  Xingya Wang; Seung Joon Baek; Thomas Eling
Journal:  Cancer Metastasis Rev       Date:  2011-12       Impact factor: 9.264

8.  Use of nonsteroidal anti-inflammatory drugs and risk of basal cell carcinoma in the United States Radiologic Technologists study.

Authors:  Elizabeth K Cahoon; Preetha Rajaraman; Bruce H Alexander; Michele M Doody; Martha S Linet; D Michal Freedman
Journal:  Int J Cancer       Date:  2011-08-29       Impact factor: 7.396

9.  Variants in inflammation genes are implicated in risk of lung cancer in never smokers exposed to second-hand smoke.

Authors:  Margaret R Spitz; Ivan P Gorlov; Christopher I Amos; Qiong Dong; Wei Chen; Carol J Etzel; Olga Y Gorlova; David W Chang; Xia Pu; Di Zhang; Liang Wang; Julie M Cunningham; Ping Yang; Xifeng Wu
Journal:  Cancer Discov       Date:  2011-08-25       Impact factor: 39.397

Review 10.  Metabolism pathways of arachidonic acids: mechanisms and potential therapeutic targets.

Authors:  Bei Wang; Lujin Wu; Jing Chen; Lingli Dong; Chen Chen; Zheng Wen; Jiong Hu; Ingrid Fleming; Dao Wen Wang
Journal:  Signal Transduct Target Ther       Date:  2021-02-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.