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Items: 1 to 20 of 75

1.

Molecular docking studies of Traditional Chinese Medicinal compounds against known protein targets to treat non-small cell lung carcinomas.

Zhao GF, Huang ZA, Du XK, Yang ML, Huang DD, Zhang S.

Mol Med Rep. 2016 Aug;14(2):1132-8. doi: 10.3892/mmr.2016.5350. Epub 2016 May 27.

2.

Biomarkers of risk to develop lung cancer in the new screening era.

Atwater T, Massion PP.

Ann Transl Med. 2016 Apr;4(8):158. doi: 10.21037/atm.2016.03.46. Review.

3.

Combining Telomerase Reverse Transcriptase Genetic Variant rs2736100 with Epidemiologic Factors in the Prediction of Lung Cancer Susceptibility.

Wang X, Ma K, Chi L, Cui J, Jin L, Hu JF, Li W.

J Cancer. 2016 Apr 28;7(7):846-53. doi: 10.7150/jca.13437. eCollection 2016.

4.

Incorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction model.

Marcus MW, Raji OY, Duffy SW, Young RP, Hopkins RJ, Field JK.

Int J Oncol. 2016 Jul;49(1):361-70. doi: 10.3892/ijo.2016.3499. Epub 2016 Apr 25.

5.

The Lung Screen Uptake Trial (LSUT): protocol for a randomised controlled demonstration lung cancer screening pilot testing a targeted invitation strategy for high risk and 'hard-to-reach' patients.

Quaife SL, Ruparel M, Beeken RJ, McEwen A, Isitt J, Nolan G, Sennett K, Baldwin DR, Duffy SW, Janes SM, Wardle J.

BMC Cancer. 2016 Apr 20;16:281. doi: 10.1186/s12885-016-2316-z.

6.

Soluble Human Epidermal Growth Factor Receptor 2 (sHER2) as a Potential Risk Assessment, Screening, and Diagnostic Biomarker of Lung Adenocarcinoma.

Cosentino-Boehm AL, Lafky JM, Greenwood TM, Kimbler KD, Buenafe MC, Wang Y, Branscum AJ, Yang P, Maihle NJ, Baron AT.

Diagnostics (Basel). 2013 Jan 14;3(1):13-32. doi: 10.3390/diagnostics3010013.

7.

Trends in Subpopulations at High Risk for Lung Cancer.

Yang P, Wang Y, Wampfler JA, Xie D, Stoddard SM, She J, Midthun DE.

J Thorac Oncol. 2016 Feb;11(2):194-202. doi: 10.1016/j.jtho.2015.10.016.

PMID:
26811226
8.

Lung cancer risk test trial: study design, participant baseline characteristics, bronchoscopy safety, and establishment of a biospecimen repository.

Crawford EL, Levin A, Safi F, Lu M, Baugh A, Zhang X, Yeo J, Khuder SA, Boulos AM, Nana-Sinkam P, Massion PP, Arenberg DA, Midthun D, Mazzone PJ, Nathan SD, Wainz R, Silvestri G, Tita J, Willey JC.

BMC Pulm Med. 2016 Jan 22;16:16. doi: 10.1186/s12890-016-0178-4.

9.

Demonstration program of population-based lung cancer screening in China: Rationale and study design.

Zhou Q, Fan Y, Wu N, Huang Y, Wang Y, Li L, Liu J, Wang X, Li W, Qiao Y.

Thorac Cancer. 2014 May;5(3):197-203. doi: 10.1111/1759-7714.12078. Epub 2014 Apr 22.

10.

UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

Field JK, Duffy SW, Baldwin DR, Whynes DK, Devaraj A, Brain KE, Eisen T, Gosney J, Green BA, Holemans JA, Kavanagh T, Kerr KM, Ledson M, Lifford KJ, McRonald FE, Nair A, Page RD, Parmar MK, Rassl DM, Rintoul RC, Screaton NJ, Wald NJ, Weller D, Williamson PR, Yadegarfar G, Hansell DM.

Thorax. 2016 Feb;71(2):161-70. doi: 10.1136/thoraxjnl-2015-207140. Epub 2015 Dec 8.

11.

China national lung cancer screening guideline with low-dose computed tomography (2015 version).

Zhou QH, Fan YG, Bu H, Wang Y, Wu N, Huang YC, Wang G, Wang XY, Qiao YL.

Thorac Cancer. 2015 Nov;6(6):812-8. doi: 10.1111/1759-7714.12287. Epub 2015 Aug 4.

12.

An official American Thoracic Society/American College of Chest Physicians policy statement: implementation of low-dose computed tomography lung cancer screening programs in clinical practice.

Wiener RS, Gould MK, Arenberg DA, Au DH, Fennig K, Lamb CR, Mazzone PJ, Midthun DE, Napoli M, Ost DE, Powell CA, Rivera MP, Slatore CG, Tanner NT, Vachani A, Wisnivesky JP, Yoon SH; ATS/ACCP Committee on Low-Dose CT Lung Cancer Screening in Clinical Practice.

Am J Respir Crit Care Med. 2015 Oct 1;192(7):881-91. doi: 10.1164/rccm.201508-1671ST.

PMID:
26426785
13.

Implementing lung cancer screening in the real world: opportunity, challenges and solutions.

Optican RJ, Chiles C.

Transl Lung Cancer Res. 2015 Aug;4(4):353-64. doi: 10.3978/j.issn.2218-6751.2015.07.14. Review.

14.

Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions.

Weissfeld JL, Lin Y, Lin HM, Kurland BF, Wilson DO, Fuhrman CR, Pennathur A, Romkes M, Nukui T, Yuan JM, Siegfried JM, Diergaarde B.

J Thorac Oncol. 2015 Nov;10(11):1538-45. doi: 10.1097/JTO.0000000000000666.

PMID:
26352532
15.

Mouse double minute-2 homolog (MDM2)-rs2279744 polymorphism associated with lung cancer risk in a Northeastern Chinese population.

Wang X, Jin L, Cui J, Ma K, Chen X, Li W.

Thorac Cancer. 2015 Jan;6(1):91-6. doi: 10.1111/1759-7714.12153. Epub 2015 Jan 7.

16.

Risk Classification with an Adaptive Naive Bayes Kernel Machine Model.

Minnier J, Yuan M, Liu JS, Cai T.

J Am Stat Assoc. 2015 Apr 22;110(509):393-404.

17.

Screening for lung cancer using low-dose computed tomography: concerns about the application in low-risk individuals.

Cui JW, Li W, Han FJ, Liu YD.

Transl Lung Cancer Res. 2015 Jun;4(3):275-86. doi: 10.3978/j.issn.2218-6751.2015.02.05. Review.

18.

Barriers to uptake among high-risk individuals declining participation in lung cancer screening: a mixed methods analysis of the UK Lung Cancer Screening (UKLS) trial.

Ali N, Lifford KJ, Carter B, McRonald F, Yadegarfar G, Baldwin DR, Weller D, Hansell DM, Duffy SW, Field JK, Brain K.

BMJ Open. 2015 Jul 14;5(7):e008254. doi: 10.1136/bmjopen-2015-008254.

19.

Lung cancer screening: identifying the high risk cohort.

Marcus MW, Raji OY, Field JK.

J Thorac Dis. 2015 Apr;7(Suppl 2):S156-62. doi: 10.3978/j.issn.2072-1439.2015.04.19. Review.

20.

A simple model for predicting lung cancer occurrence in a lung cancer screening program: The Pittsburgh Predictor.

Wilson DO, Weissfeld J.

Lung Cancer. 2015 Jul;89(1):31-7. doi: 10.1016/j.lungcan.2015.03.021. Epub 2015 Mar 28.

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