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Results: 1 to 20 of 85

Cited In for PubMed (Select 17470739)

1.

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.

2.

Association of the FAM46A gene VNTRs and BAG6 rs3117582 SNP with non small cell lung cancer (NSCLC) in Croatian and Norwegian populations.

Etokebe GE, Zienolddiny S, Kupanovac Z, Enersen M, Balen S, Flego V, Bulat-Kardum L, Radojčić-Badovinac A, Skaug V, Bakke P, Haugen A, Dembic Z.

PLoS One. 2015 Apr 17;10(4):e0122651. doi: 10.1371/journal.pone.0122651. eCollection 2015.

3.

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.

PMID:
25863905
4.

JNCI and cancer prevention.

Dunn BK, Ghosh S, Kramer BS.

J Natl Cancer Inst. 2015 Feb 24;107(3). pii: djv021. doi: 10.1093/jnci/djv021. Print 2015 Mar.

PMID:
25713150
5.

Clinical characteristics and prognosis of incidentally detected lung cancers.

Quadrelli S, Lyons G, Colt H, Chimondeguy D, Buero A.

Int J Surg Oncol. 2015;2015:287604. doi: 10.1155/2015/287604. Epub 2015 Feb 3.

6.

The ability of bilirubin in identifying smokers with higher risk of lung cancer: a large cohort study in conjunction with global metabolomic profiling.

Wen CP, Zhang F, Liang D, Wen C, Gu J, Skinner H, Chow WH, Ye Y, Pu X, Hildebrandt MA, Huang M, Chen CH, Hsiung CA, Tsai MK, Tsao CK, Lippman SM, Wu X.

Clin Cancer Res. 2015 Jan 1;21(1):193-200. doi: 10.1158/1078-0432.CCR-14-0748. Epub 2014 Oct 21.

PMID:
25336700
7.

A review of cancer risk prediction models with genetic variants.

Wang X, Oldani MJ, Zhao X, Huang X, Qian D.

Cancer Inform. 2014 Sep 21;13(Suppl 2):19-28. doi: 10.4137/CIN.S13788. eCollection 2014. Review.

8.

The cytokinesis-blocked micronucleus assay as a strong predictor of lung cancer: extension of a lung cancer risk prediction model.

El-Zein RA, Lopez MS, D'Amelio AM Jr, Liu M, Munden RF, Christiani D, Su L, Tejera-Alveraz P, Zhai R, Spitz MR, Etzel CJ.

Cancer Epidemiol Biomarkers Prev. 2014 Nov;23(11):2462-70. doi: 10.1158/1055-9965.EPI-14-0462. Epub 2014 Aug 29.

PMID:
25172871
9.

A risk prediction model for smoking experimentation in Mexican American youth.

Talluri R, Wilkinson AV, Spitz MR, Shete S.

Cancer Epidemiol Biomarkers Prev. 2014 Oct;23(10):2165-74. doi: 10.1158/1055-9965.EPI-14-0467. Epub 2014 Jul 25.

PMID:
25063521
10.

Updates and controversies in the rapidly evolving field of lung cancer screening, early detection, and chemoprevention.

Kathuria H, Gesthalter Y, Spira A, Brody JS, Steiling K.

Cancers (Basel). 2014 May 16;6(2):1157-79. doi: 10.3390/cancers6021157.

11.

T helper 17 cells play a critical pathogenic role in lung cancer.

Chang SH, Mirabolfathinejad SG, Katta H, Cumpian AM, Gong L, Caetano MS, Moghaddam SJ, Dong C.

Proc Natl Acad Sci U S A. 2014 Apr 15;111(15):5664-9. doi: 10.1073/pnas.1319051111. Epub 2014 Mar 31.

12.

Comparative analysis of 5 lung cancer natural history and screening models that reproduce outcomes of the NLST and PLCO trials.

Meza R, ten Haaf K, Kong CY, Erdogan A, Black WC, Tammemagi MC, Choi SE, Jeon J, Han SS, Munshi V, van Rosmalen J, Pinsky P, McMahon PM, de Koning HJ, Feuer EJ, Hazelton WD, Plevritis SK.

Cancer. 2014 Jun 1;120(11):1713-24. doi: 10.1002/cncr.28623. Epub 2014 Feb 27.

13.

Prediction of survival in resected non-small cell lung cancer using a protein expression-based risk model: implications for personalized chemoprevention and therapy.

Gold KA, Kim ES, Liu DD, Yuan P, Behrens C, Solis LM, Kadara H, Rice DC, Wistuba II, Swisher SG, Hofstetter WL, Lee JJ, Hong WK.

Clin Cancer Res. 2014 Apr 1;20(7):1946-54. doi: 10.1158/1078-0432.CCR-13-1959. Epub 2013 Dec 23.

14.

Lung cancer screening with low-dose computed tomography.

Chiles C.

Radiol Clin North Am. 2014 Jan;52(1):27-46. doi: 10.1016/j.rcl.2013.08.006.

15.

Signal stratification of autoantibody levels in serum samples and its application to the early detection of lung cancer.

Healey GF, Lam S, Boyle P, Hamilton-Fairley G, Peek LJ, Robertson JF.

J Thorac Dis. 2013 Oct;5(5):618-25. doi: 10.3978/j.issn.2072-1439.2013.08.65.

16.

Circulating inflammation markers and prospective risk for lung cancer.

Shiels MS, Pfeiffer RM, Hildesheim A, Engels EA, Kemp TJ, Park JH, Katki HA, Koshiol J, Shelton G, Caporaso NE, Pinto LA, Chaturvedi AK.

J Natl Cancer Inst. 2013 Dec 18;105(24):1871-80. doi: 10.1093/jnci/djt309. Epub 2013 Nov 18.

17.

Development and validation of a risk score predicting substantial weight gain over 5 years in middle-aged European men and women.

Steffen A, Sørensen TI, Knüppel S, Travier N, Sánchez MJ, Huerta JM, Quirós JR, Ardanaz E, Dorronsoro M, Teucher B, Li K, Bueno-de-Mesquita HB, van der A D, Mattiello A, Palli D, Tumino R, Krogh V, Vineis P, Trichopoulou A, Orfanos P, Trichopoulos D, Hedblad B, Wallström P, Overvad K, Halkjær J, Tjønneland A, Fagherazzi G, Dartois L, Crowe F, Khaw KT, Wareham N, Middleton L, May AM, Peeters PH, Boeing H.

PLoS One. 2013 Jul 16;8(7):e67429. doi: 10.1371/journal.pone.0067429. Print 2013.

18.

Bridging the clinical gaps: genetic, epigenetic and transcriptomic biomarkers for the early detection of lung cancer in the post-National Lung Screening Trial era.

Brothers JF, Hijazi K, Mascaux C, El-Zein RA, Spitz MR, Spira A.

BMC Med. 2013 Jul 19;11:168. doi: 10.1186/1741-7015-11-168. Review.

19.

Targeting of low-dose CT screening according to the risk of lung-cancer death.

Kovalchik SA, Tammemagi M, Berg CD, Caporaso NE, Riley TL, Korch M, Silvestri GA, Chaturvedi AK, Katki HA.

N Engl J Med. 2013 Jul 18;369(3):245-54. doi: 10.1056/NEJMoa1301851.

20.

Genetic evidence linking lung cancer and COPD: a new perspective.

Young RP, Hopkins RJ, Gamble GD, Etzel C, El-Zein R, Crapo JD.

Appl Clin Genet. 2011 Jul 18;4:99-111. doi: 10.2147/TACG.S20083. Print 2011.

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