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Results: 10

1.

A 16-gene assay to predict recurrence after surgery in localised renal cell carcinoma: development and validation studies.

Rini B, Goddard A, Knezevic D, Maddala T, Zhou M, Aydin H, Campbell S, Elson P, Koscielny S, Lopatin M, Svedman C, Martini JF, Williams JA, Verkarre V, Radulescu C, Neuzillet Y, Hemmerlé I, Timsit MO, Tsiatis AC, Bonham M, Lebret T, Mejean A, Escudier B.

Lancet Oncol. 2015 Jun;16(6):676-85. doi: 10.1016/S1470-2045(15)70167-1. Epub 2015 May 12.

PMID:
25979595
2.

A Biopsy-based 17-gene Genomic Prostate Score Predicts Recurrence After Radical Prostatectomy and Adverse Surgical Pathology in a Racially Diverse Population of Men with Clinically Low- and Intermediate-risk Prostate Cancer.

Cullen J, Rosner IL, Brand TC, Zhang N, Tsiatis AC, Moncur J, Ali A, Chen Y, Knezevic D, Maddala T, Lawrence HJ, Febbo PG, Srivastava S, Sesterhenn IA, McLeod DG.

Eur Urol. 2015 Jul;68(1):123-31. doi: 10.1016/j.eururo.2014.11.030. Epub 2014 Nov 29.

3.

A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling.

Klein EA, Cooperberg MR, Magi-Galluzzi C, Simko JP, Falzarano SM, Maddala T, Chan JM, Li J, Cowan JE, Tsiatis AC, Cherbavaz DB, Pelham RJ, Tenggara-Hunter I, Baehner FL, Knezevic D, Febbo PG, Shak S, Kattan MW, Lee M, Carroll PR.

Eur Urol. 2014 Sep;66(3):550-60. doi: 10.1016/j.eururo.2014.05.004. Epub 2014 May 16.

PMID:
24836057
4.

Tumour gene expression predicts response to cetuximab in patients with KRAS wild-type metastatic colorectal cancer.

Baker JB, Dutta D, Watson D, Maddala T, Munneke BM, Shak S, Rowinsky EK, Xu LA, Harbison CT, Clark EA, Mauro DJ, Khambata-Ford S.

Br J Cancer. 2011 Feb 1;104(3):488-95. doi: 10.1038/sj.bjc.6606054. Epub 2011 Jan 4.

5.

Human epidermal growth factor receptor 2 assessment in a case-control study: comparison of fluorescence in situ hybridization and quantitative reverse transcription polymerase chain reaction performed by central laboratories.

Baehner FL, Achacoso N, Maddala T, Shak S, Quesenberry CP Jr, Goldstein LC, Gown AM, Habel LA.

J Clin Oncol. 2010 Oct 1;28(28):4300-6. doi: 10.1200/JCO.2009.24.8211. Epub 2010 Aug 9.

6.

Estrogen- and progesterone-receptor status in ECOG 2197: comparison of immunohistochemistry by local and central laboratories and quantitative reverse transcription polymerase chain reaction by central laboratory.

Badve SS, Baehner FL, Gray RP, Childs BH, Maddala T, Liu ML, Rowley SC, Shak S, Perez EA, Shulman LJ, Martino S, Davidson NE, Sledge GW, Goldstein LJ, Sparano JA.

J Clin Oncol. 2008 May 20;26(15):2473-81. doi: 10.1200/JCO.2007.13.6424. Erratum in: J Clin Oncol. 2008 Jul 10;26(20):3472. Perez, Edith D [corrected to Perez, Edith A].

7.

An experiment on simplifying conjoint analysis designs for measuring preferences.

Maddala T, Phillips KA, Reed Johnson F.

Health Econ. 2003 Dec;12(12):1035-47.

PMID:
14673812
8.
9.

Measuring what people value: a comparison of "attitude" and "preference" surveys.

Phillips KA, Johnson FR, Maddala T.

Health Serv Res. 2002 Dec;37(6):1659-79.

10.

Acuity scheduling systems: a case study in radiology.

Maddala T.

Radiol Technol. 1996 May-Jun;67(5):415-20.

PMID:
8726988
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