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Items: 1 to 20 of 62

1.

Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients.

Zhou M, Zhong L, Xu W, Sun Y, Zhang Z, Zhao H, Yang L, Sun J.

Sci Rep. 2016 Aug 9;6:31038. doi: 10.1038/srep31038.

2.

Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features.

Chen H, Chen W, Liu C, Zhang L, Su J, Zhou X.

Sci Rep. 2016 Jul 18;6:29915. doi: 10.1038/srep29915.

3.

An international comparability study on quantification of mRNA gene expression ratios: CCQM-P103.1.

Devonshire AS, Sanders R, Whale AS, Nixon GJ, Cowen S, Ellison SL, Parkes H, Pine PS, Salit M, McDaniel J, Munro S, Lund S, Matsukura S, Sekiguchi Y, Kawaharasaki M, Granjeiro JM, Falagan-Lotsch P, Saraiva AM, Couto P, Yang I, Kwon H, Park SR, Demšar T, Žel J, Blejec A, Milavec M, Dong L, Zhang L, Sui Z, Wang J, Viroonudomphol D, Prawettongsopon C, Partis L, Baoutina A, Emslie K, Takatsu A, Akyurek S, Akgoz M, Vonsky M, Konopelko LA, Cundapi EM, Urquiza MP, Huggett JF, Foy CA.

Biomol Detect Quantif. 2016 Jun 6;8:15-28. doi: 10.1016/j.bdq.2016.05.003. eCollection 2016 Jun.

5.

Signatures of breast cancer metastasis at a glance.

Karagiannis GS, Goswami S, Jones JG, Oktay MH, Condeelis JS.

J Cell Sci. 2016 May 1;129(9):1751-8. doi: 10.1242/jcs.183129. Epub 2016 Apr 15. Review.

PMID:
27084578
6.

Examining the Relationship between Pre-Malignant Breast Lesions, Carcinogenesis and Tumor Evolution in the Mammary Epithelium Using an Agent-Based Model.

Chapa J, An G, Kulkarni SA.

PLoS One. 2016 Mar 29;11(3):e0152298. doi: 10.1371/journal.pone.0152298. eCollection 2016.

7.

Analytical performance of a bronchial genomic classifier.

Hu Z, Whitney D, Anderson JR, Cao M, Ho C, Choi Y, Huang J, Frink R, Smith KP, Monroe R, Kennedy GC, Walsh PS.

BMC Cancer. 2016 Feb 26;16:161. doi: 10.1186/s12885-016-2153-0.

8.

A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.

Wan T, Bloch BN, Plecha D, Thompson CL, Gilmore H, Jaffe C, Harris L, Madabhushi A.

Sci Rep. 2016 Feb 18;6:21394. doi: 10.1038/srep21394.

9.

Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.

König IR, Auerbach J, Gola D, Held E, Holzinger ER, Legault MA, Sun R, Tintle N, Yang HC.

BMC Genet. 2016 Feb 3;17 Suppl 2:1. doi: 10.1186/s12863-015-0315-8.

10.

The relationship between quantitative human epidermal growth factor receptor 2 gene expression by the 21-gene reverse transcriptase polymerase chain reaction assay and adjuvant trastuzumab benefit in Alliance N9831.

Perez EA, Baehner FL, Butler SM, Thompson EA, Dueck AC, Jamshidian F, Cherbavaz D, Yoshizawa C, Shak S, Kaufman PA, Davidson NE, Gralow J, Asmann YW, Ballman KV.

Breast Cancer Res. 2015 Oct 1;17(1):133. doi: 10.1186/s13058-015-0643-7.

11.

Revisiting determinants of prognosis in cutaneous melanoma.

Weiss SA, Hanniford D, Hernando E, Osman I.

Cancer. 2015 Dec 1;121(23):4108-23. doi: 10.1002/cncr.29634. Epub 2015 Aug 26. Review.

PMID:
26308244
12.

A population-based validation study of the DCIS Score predicting recurrence risk in individuals treated by breast-conserving surgery alone.

Rakovitch E, Nofech-Mozes S, Hanna W, Baehner FL, Saskin R, Butler SM, Tuck A, Sengupta S, Elavathil L, Jani PA, Bonin M, Chang MC, Robertson SJ, Slodkowska E, Fong C, Anderson JM, Jamshidian F, Miller DP, Cherbavaz DB, Shak S, Paszat L.

Breast Cancer Res Treat. 2015 Jul;152(2):389-98. doi: 10.1007/s10549-015-3464-6. Epub 2015 Jun 29.

13.

Prospective Clinical Utility Study of the Use of the 21-Gene Assay in Adjuvant Clinical Decision Making in Women With Estrogen Receptor-Positive Early Invasive Breast Cancer: Results From the SWITCH Study.

Gligorov J, Pivot XB, Jacot W, Naman HL, Spaeth D, Misset JL, Largillier R, Sautiere JL, de Roquancourt A, Pomel C, Rouanet P, Rouzier R, Penault-Llorca FM; Francilian Breast Intergroup.

Oncologist. 2015 Aug;20(8):873-9. doi: 10.1634/theoncologist.2014-0467. Epub 2015 Jun 25.

14.

Developing a new generation of breast cancer clinical gene expression tests.

Kos Z, Nielsen TO.

Breast Cancer Res. 2014 Jul 7;16(4):103. doi: 10.1186/bcr3688.

15.

Clinical utility of gene expression profiling data for clinical decision-making regarding adjuvant therapy in early stage, node-negative breast cancer: a case report.

Schuster SR, Pockaj BA, Bothe MR, David PS, Northfelt DW.

J Pers Med. 2012 Sep 10;2(3):71-6. doi: 10.3390/jpm2030071.

16.

A guide for clinicians in the evaluation of emerging molecular diagnostics for newly diagnosed prostate cancer.

Canfield SE, Kibel AS, Kemeter MJ, Febbo PG, Lawrence HJ, Moul JW.

Rev Urol. 2014;16(4):172-80.

17.

An argument for mechanism-based statistical inference in cancer.

Geman D, Ochs M, Price ND, Tomasetti C, Younes L.

Hum Genet. 2015 May;134(5):479-95. doi: 10.1007/s00439-014-1501-x. Epub 2014 Nov 9. Review.

18.

Estrogen receptor expression is high but is of lower intensity in tubular carcinoma than in well-differentiated invasive ductal carcinoma.

Jorns JM, Thomas DG, Healy PN, Daignault S, Vickery TL, Snider JE, Mardis ER, Davies SR, Ellis MJ, Visscher DW.

Arch Pathol Lab Med. 2014 Nov;138(11):1507-13. doi: 10.5858/arpa.2013-0621-OA.

19.

A thirteen-gene expression signature predicts survival of patients with pancreatic cancer and identifies new genes of interest.

Newhook TE, Blais EM, Lindberg JM, Adair SJ, Xin W, Lee JK, Papin JA, Parsons JT, Bauer TW.

PLoS One. 2014 Sep 2;9(9):e105631. doi: 10.1371/journal.pone.0105631. eCollection 2014.

20.

Evaluation of a solid matrix for collection and ambient storage of RNA from whole blood.

Tao H, Beineke P, Li B, Alberts W, Rosenberg S, Kvam E, Wingrove JA.

BMC Clin Pathol. 2014 May 13;14:22. doi: 10.1186/1472-6890-14-22. eCollection 2014.

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