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Results: 1 to 20 of 93

Similar articles for PubMed (Select 22927484)

1.

Developing and validating continuous genomic signatures in randomized clinical trials for predictive medicine.

Matsui S, Simon R, Qu P, Shaughnessy JD Jr, Barlogie B, Crowley J.

Clin Cancer Res. 2012 Nov 1;18(21):6065-73. doi: 10.1158/1078-0432.CCR-12-1206. Epub 2012 Aug 27.

2.

Predicting cancer prognosis using functional genomics data sets.

Das J, Gayvert KM, Yu H.

Cancer Inform. 2014 Nov 2;13(Suppl 5):85-8. doi: 10.4137/CIN.S14064. eCollection 2014. Review.

3.

A PRIM approach to predictive-signature development for patient stratification.

Chen G, Zhong H, Belousov A, Devanarayan V.

Stat Med. 2015 Jan 30;34(2):317-42. doi: 10.1002/sim.6343. Epub 2014 Oct 27.

4.

Removing batch effects for prediction problems with frozen surrogate variable analysis.

Parker HS, Corrada Bravo H, Leek JT.

PeerJ. 2014 Sep 23;2:e561. doi: 10.7717/peerj.561. eCollection 2014.

5.

Toward predictive signatures of enzalutamide response and resistance.

Gleave M, Chi K.

Eur Urol. 2015 Jan;67(1):61-3. doi: 10.1016/j.eururo.2014.08.012. Epub 2014 Aug 20. No abstract available.

PMID:
25151015
6.

Genomic medicine for cancer prognosis.

Mathur A, Zeiger MA.

J Surg Oncol. 2015 Jan;111(1):31-7. doi: 10.1002/jso.23734. Epub 2014 Aug 11. Review.

PMID:
25111527
7.

Comparison of statistical analysis plans in randomize-all phase III trials with a predictive biomarker.

Matsui S, Choai Y, Nonaka T.

Clin Cancer Res. 2014 Jun 1;20(11):2820-30. doi: 10.1158/1078-0432.CCR-13-2698. Epub 2014 Apr 1.

8.

Drug-diagnostics co-development in oncology.

Simon R.

Front Oncol. 2013 Dec 23;3:315. doi: 10.3389/fonc.2013.00315. Review.

9.

Genomic biomarkers for personalized medicine: development and validation in clinical studies.

Matsui S.

Comput Math Methods Med. 2013;2013:865980. doi: 10.1155/2013/865980. Epub 2013 Apr 17. Review.

10.

Are randomized trials obsolete or more important than ever in the genomic era?

Ioannidis JP, Khoury MJ.

Genome Med. 2013 Apr 18;5(4):32. doi: 10.1186/gm436. eCollection 2013. No abstract available.

11.

Omics-based clinical trial designs.

Buyse M, Michiels S.

Curr Opin Oncol. 2013 May;25(3):289-95. doi: 10.1097/CCO.0b013e32835ff2fe. Review.

PMID:
23475192
12.
13.

Gene expression profiles in esophageal adenocarcinoma predict survival after resection.

Pennathur A, Xi L, Litle VR, Gooding WE, Krasinskas A, Landreneau RJ, Godfrey TE, Luketich JD.

J Thorac Cardiovasc Surg. 2013 Feb;145(2):505-12; discussion 512-3. doi: 10.1016/j.jtcvs.2012.10.031.

PMID:
23321130
14.

Towards mechanism classifiers: expression-anchored Gene Ontology signature predicts clinical outcome in lung adenocarcinoma patients.

Yang X, Li H, Regan K, Li J, Huang Y, Lussier YA.

AMIA Annu Symp Proc. 2012;2012:1040-9. Epub 2012 Nov 3.

15.

Independent validation of a prognostic genomic signature (ColoPrint) for patients with stage II colon cancer.

Maak M, Simon I, Nitsche U, Roepman P, Snel M, Glas AM, Schuster T, Keller G, Zeestraten E, Goossens I, Janssen KP, Friess H, Rosenberg R.

Ann Surg. 2013 Jun;257(6):1053-8. doi: 10.1097/SLA.0b013e31827c1180.

PMID:
23295318
16.

Pretreatment data is highly predictive of liver chemistry signals in clinical trials.

Cai Z, Bresell A, Steinberg MH, Silberg DG, Furlong ST.

Drug Des Devel Ther. 2012;6:359-69. doi: 10.2147/DDDT.S34271. Epub 2012 Nov 27.

17.

Gene expression anti-profiles as a basis for accurate universal cancer signatures.

Bravo HC, Pihur V, McCall M, Irizarry RA, Leek JT.

BMC Bioinformatics. 2012 Oct 22;13:272. doi: 10.1186/1471-2105-13-272.

18.

First-line tandem high-dose chemotherapy and autologous stem cell transplantation versus single high-dose chemotherapy and autologous stem cell transplantation in multiple myeloma, a systematic review of controlled studies.

Naumann-Winter F, Greb A, Borchmann P, Bohlius J, Engert A, Schnell R.

Cochrane Database Syst Rev. 2012 Oct 17;10:CD004626. doi: 10.1002/14651858.CD004626.pub3. Review.

PMID:
23076906
20.
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