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Items: 1 to 20 of 199

1.

Letter--Value-Driven Treatment Decisions: Need of the Hour for Relapsed/Refractory Multiple Myeloma.

Medhekar R, Sapra SJ, Majer I, Harrison DJ, Tekle C.

J Manag Care Spec Pharm. 2019 Sep;25(9):1027-1028. doi: 10.18553/jmcp.2019.25.9.1027.

2.

The landscape of genomic copy number alterations in colorectal cancer and their consequences on gene expression levels and disease outcome.

Ried T, Meijer GA, Harrison DJ, Grech G, Franch-Expósito S, Briffa R, Carvalho B, Camps J.

Mol Aspects Med. 2019 Oct;69:48-61. doi: 10.1016/j.mam.2019.07.007. Epub 2019 Aug 6. Review.

3.

A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis.

Dimitriou N, Arandjelović O, Harrison DJ, Caie PD.

NPJ Digit Med. 2018 Oct 2;1:52. doi: 10.1038/s41746-018-0057-x. eCollection 2018.

4.

Novel Internationally Verified Method Reports Desmoplastic Reaction as the Most Significant Prognostic Feature For Disease-specific Survival in Stage II Colorectal Cancer.

Nearchou IP, Kajiwara Y, Mochizuki S, Harrison DJ, Caie PD, Ueno H.

Am J Surg Pathol. 2019 Sep;43(9):1239-1248. doi: 10.1097/PAS.0000000000001304.

PMID:
31206364
5.

Genome-scale CRISPR/Cas9 screen determines factors modulating sensitivity to ProTide NUC-1031.

Sarr A, Bré J, Um IH, Chan TH, Mullen P, Harrison DJ, Reynolds PA.

Sci Rep. 2019 May 21;9(1):7643. doi: 10.1038/s41598-019-44089-3.

6.

Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

Brieu N, Gavriel CG, Nearchou IP, Harrison DJ, Schmidt G, Caie PD.

Sci Rep. 2019 Mar 26;9(1):5174. doi: 10.1038/s41598-019-41595-2.

7.

Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer.

Nearchou IP, Lillard K, Gavriel CG, Ueno H, Harrison DJ, Caie PD.

Cancer Immunol Res. 2019 Apr;7(4):609-620. doi: 10.1158/2326-6066.CIR-18-0377. Epub 2019 Mar 7. Erratum in: Cancer Immunol Res. 2019 Aug;7(8):1381.

PMID:
30846441
8.

Low-density lipoprotein cholesterol outcomes post-non-PCSK9i lipid-lowering therapies in atherosclerotic cardiovascular disease and probable heterozygous familial hypercholesterolemia patients.

Chen CC, Rane PB, Hines DM, Patel J, Harrison DJ, Wade RL.

Ther Clin Risk Manag. 2018 Dec 13;14:2425-2435. doi: 10.2147/TCRM.S180783. eCollection 2018.

9.

Treatment patterns and patient characteristics among early initiators of PCSK9 inhibitors.

Hines DM, Rane P, Patel J, Harrison DJ, Wade RL.

Vasc Health Risk Manag. 2018 Dec 10;14:409-418. doi: 10.2147/VHRM.S180496. eCollection 2018.

10.

Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis.

Jones-Todd CM, Caie P, Illian JB, Stevenson BC, Savage A, Harrison DJ, Bown JL.

Stat Med. 2019 Apr 15;38(8):1421-1441. doi: 10.1002/sim.8046. Epub 2018 Nov 28.

PMID:
30488481
11.

Medical Expenditures Among Medicare Beneficiaries with Statin-Associated Adverse Effects Following Myocardial Infarction.

Colantonio LD, Deng L, Chen L, Farkouh ME, Monda KL, Harrison DJ, Maya JF, Kilgore ML, Muntner P, Rosenson RS.

Cardiovasc Drugs Ther. 2018 Dec;32(6):601-610. doi: 10.1007/s10557-018-6840-8.

PMID:
30446883
12.

Raman spectroscopy investigation of biochemical changes in tumor spheroids with aging and after treatment with staurosporine.

Jamieson LE, Harrison DJ, Campbell CJ.

J Biophotonics. 2019 May;12(5):e201800201. doi: 10.1002/jbio.201800201. Epub 2019 Jan 9.

PMID:
30246380
13.

Somatic cancer genetics in the UK: real-world data from phase I of the Cancer Research UK Stratified Medicine Programme.

Lindsay CR, Shaw EC, Blackhall F, Blyth KG, Brenton JD, Chaturvedi A, Clarke N, Dick C, Evans TRJ, Hall G, Hanby AM, Harrison DJ, Johnston SRD, Mason MD, Morton D, Newton-Bishop J, Nicholson AG, Oien KA, Popat S, Rassl D, Sharpe R, Taniere P, Walker I, Wallace WA, West NP, Butler R, Gonzalez de Castro D, Griffiths M, Johnson PWM.

ESMO Open. 2018 Sep 5;3(6):e000408. doi: 10.1136/esmoopen-2018-000408. eCollection 2018.

14.

Disease-modifying antirheumatic drug initiation among patients newly diagnosed with rheumatoid arthritis.

Bonafede M, Johnson BH, Shah N, Harrison DJ, Tang D, Stolshek BS.

Am J Manag Care. 2018 Jul;24(8 Spec No.):SP279-SP285.

15.

Podocyte injury elicits loss and recovery of cellular forces.

Haley KE, Kronenberg NM, Liehm P, Elshani M, Bell C, Harrison DJ, Gather MC, Reynolds PA.

Sci Adv. 2018 Jun 27;4(6):eaap8030. doi: 10.1126/sciadv.aap8030. eCollection 2018 Jun.

16.

The Effect of Tissue Preparation and Donor Age on Striatal Graft Morphology in the Mouse.

Harrison DJ, Roberton VH, Vinh NN, Brooks SP, Dunnett SB, Rosser AE.

Cell Transplant. 2018 Feb;27(2):230-244. doi: 10.1177/0963689717744788.

17.

Experimental Nonalcoholic Steatohepatitis and Liver Fibrosis Are Ameliorated by Pharmacologic Activation of Nrf2 (NF-E2 p45-Related Factor 2).

Sharma RS, Harrison DJ, Kisielewski D, Cassidy DM, McNeilly AD, Gallagher JR, Walsh SV, Honda T, McCrimmon RJ, Dinkova-Kostova AT, Ashford MLJ, Dillon JF, Hayes JD.

Cell Mol Gastroenterol Hepatol. 2017 Dec 13;5(3):367-398. doi: 10.1016/j.jcmgh.2017.11.016. eCollection 2018 Mar.

18.

Ezetimibe Use and LDL-C Goal Achievement: A Retrospective Database Analysis of Patients with Clinical Atherosclerotic Cardiovascular Disease or Probable Heterozygous Familial Hypercholesterolemia.

Menzin J, Aggarwal J, Boatman B, Yu J, Stern K, Harrison DJ, Patel JG.

J Manag Care Spec Pharm. 2017 Dec;23(12):1270-1276. doi: 10.18553/jmcp.2017.16414. Epub 2017 Sep 25.

19.

Estimation of Missed Statin Prescription Use in an Administrative Claims Dataset.

Wade RL, Patel JG, Hill JW, De AP, Harrison DJ.

J Manag Care Spec Pharm. 2017 Sep;23(9):936-942. doi: 10.18553/jmcp.2017.23.9.936.

20.

Patient Characteristics and Real-World Treatment Patterns Among Early Users of PCSK9 Inhibitors.

Rane PB, Patel J, Harrison DJ, Shepherd J, Leith A, Bailey H, Piercy J.

Am J Cardiovasc Drugs. 2018 Apr;18(2):103-108. doi: 10.1007/s40256-017-0246-z.

PMID:
28849360

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