Aggarwal A - Search Results

1

Topological and functional discovery in a gene coexpression meta-network of gastric cancer.

Aggarwal A, Guo DL, Hoshida Y, Yuen ST, Chu KM, So S, Boussioutas A, Chen X, Bowtell D, Aburatani H, Leung SY, Tan P. Aggarwal A, et al. Cancer Res. 2006 Jan 1;66(1):232-41. doi: 10.1158/0008-5472.CAN-05-2232. Cancer Res. 2006. PMID: 16397236 Free article.

2

A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.

Tay ST, Leong SH, Yu K, Aggarwal A, Tan SY, Lee CH, Wong K, Visvanathan J, Lim D, Wong WK, Soo KC, Kon OL, Tan P. Tay ST, et al. Among authors: aggarwal a. Cancer Res. 2003 Jun 15;63(12):3309-16. Cancer Res. 2003. PMID: 12810664

3

Classifying the estrogen receptor status of breast cancers by expression profiles reveals a poor prognosis subpopulation exhibiting high expression of the ERBB2 receptor.

Kun Y, How LC, Hoon TP, Bajic VB, Lam TS, Aggarwal A, Sze HG, Bok WS, Yin WC, Tan P. Kun Y, et al. Among authors: aggarwal a. Hum Mol Genet. 2003 Dec 15;12(24):3245-58. doi: 10.1093/hmg/ddg347. Epub 2003 Oct 21. Hum Mol Genet. 2003. PMID: 14570715

4

Feasibility of using low-volume tissue samples for gene expression profiling of advanced non-small cell lung cancers.

Lim EH, Aggarwal A, Agasthian T, Wong PS, Tan C, Sim E, Tan L, Goh PS, Wang SC, Khoo KL, Mukherjee A, Khoo SM, Chua G, Nilsson B, Lee KH, Tan P. Lim EH, et al. Among authors: aggarwal a. Clin Cancer Res. 2003 Dec 1;9(16 Pt 1):5980-7. Clin Cancer Res. 2003. PMID: 14676123

5

Identifying patterns of DNA for tumor diagnosis using capillary electrophoresis-amplified fragment length polymorphism (CE-AFLP) screening.

Wong KY, Chuan YC, Aggarwal A, Tham L, Kong WM, Tan P. Wong KY, et al. Among authors: aggarwal a. J Bioinform Comput Biol. 2004 Sep;2(3):569-87. doi: 10.1142/s0219720004000740. J Bioinform Comput Biol. 2004. PMID: 15359427

6

Wavelet transformations of tumor expression profiles reveals a pervasive genome-wide imprinting of aneuploidy on the cancer transcriptome.

Aggarwal A, Leong SH, Lee C, Kon OL, Tan P. Aggarwal A, et al. Cancer Res. 2005 Jan 1;65(1):186-94. Cancer Res. 2005. PMID: 15665294

7

Evidence for selective expression of the p53 codon 72 polymorphs: implications in cancer development.

Siddique MM, Balram C, Fiszer-Maliszewska L, Aggarwal A, Tan A, Tan P, Soo KC, Sabapathy K. Siddique MM, et al. Among authors: aggarwal a. Cancer Epidemiol Biomarkers Prev. 2005 Sep;14(9):2245-52. doi: 10.1158/1055-9965.EPI-05-0153. Cancer Epidemiol Biomarkers Prev. 2005. PMID: 16172238 Free article.

8

Amplification and overexpression of PPFIA1, a putative 11q13 invasion suppressor gene, in head and neck squamous cell carcinoma.

Tan KD, Zhu Y, Tan HK, Rajasegaran V, Aggarwal A, Wu J, Wu HY, Hwang J, Lim DT, Soo KC, Tan P. Tan KD, et al. Among authors: aggarwal a. Genes Chromosomes Cancer. 2008 Apr;47(4):353-62. doi: 10.1002/gcc.20539. Genes Chromosomes Cancer. 2008. PMID: 18196592

9

Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes.

Cristescu R, Lee J, Nebozhyn M, Kim KM, Ting JC, Wong SS, Liu J, Yue YG, Wang J, Yu K, Ye XS, Do IG, Liu S, Gong L, Fu J, Jin JG, Choi MG, Sohn TS, Lee JH, Bae JM, Kim ST, Park SH, Sohn I, Jung SH, Tan P, Chen R, Hardwick J, Kang WK, Ayers M, Hongyue D, Reinhard C, Loboda A, Kim S, Aggarwal A. Cristescu R, et al. Among authors: aggarwal a. Nat Med. 2015 May;21(5):449-56. doi: 10.1038/nm.3850. Epub 2015 Apr 20. Nat Med. 2015. PMID: 25894828

10

Stromal-Based Signatures for the Classification of Gastric Cancer.

Uhlik MT, Liu J, Falcon BL, Iyer S, Stewart J, Celikkaya H, O'Mahony M, Sevinsky C, Lowes C, Douglass L, Jeffries C, Bodenmiller D, Chintharlapalli S, Fischl A, Gerald D, Xue Q, Lee JY, Santamaria-Pang A, Al-Kofahi Y, Sui Y, Desai K, Doman T, Aggarwal A, Carter JH, Pytowski B, Jaminet SC, Ginty F, Nasir A, Nagy JA, Dvorak HF, Benjamin LE. Uhlik MT, et al. Among authors: aggarwal a. Cancer Res. 2016 May 1;76(9):2573-86. doi: 10.1158/0008-5472.CAN-16-0022. Cancer Res. 2016. PMID: 27197264

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