Literature DB >> 15520179

From mice to humans: identification of commonly deregulated genes in mammary cancer via comparative SAGE studies.

Yuhui Hu1, Hongxia Sun, Jeffrey Drake, Frances Kittrell, Martin C Abba, Li Deng, Sally Gaddis, Aysegul Sahin, Keith Baggerly, Daniel Medina, C Marcelo Aldaz.   

Abstract

Genetically engineered mouse mammary cancer models have been used over the years as systems to study human breast cancer. However, much controversy exists on the utility of such models as valid equivalents to the human cancer condition. To perform an interspecies gene expression comparative study in breast cancer we used a mouse model that most closely resembles human breast carcinogenesis. This system relies on the transplant of p53 null mouse mammary epithelial cells into the cleared mammary fat pads of syngeneic hosts. Serial analysis of gene expression (SAGE) was used to obtain gene expression profiles of normal and tumor samples from this mouse mammary cancer model (>300,000 mouse mammary-specific tags). The resulting mouse data were compared with 25 of our human breast cancer SAGE libraries (>2.5 million human breast-specific tags). We observed significant similarities in the deregulation of specific genes and gene families when comparing mouse with human breast cancer SAGE data. A total of 72 transcripts were identified as commonly deregulated in both species. We observed a systematic and significant down-regulation in all of the tumors from both species of various cytokines, including CXCL1 (GRO1), LIF, interleukin 6, and CCL2. All of the mouse and most human mammary tumors also displayed decreased expression of genes known to inhibit cell proliferation, including NFKBIA (IKBalpha), GADD45B, and CDKN1A (p21); transcription-related genes such as CEBP, JUN, JUNB, and ELF1; and apoptosis-related transcripts such as IER3 and GADD34/PPP1R15A. Examples of overexpressed transcripts in tumors from both species include proliferation-related genes such as CCND1, CKS1B, and STMN1 (oncoprotein 18); and genes related to other functions such as SEPW1, SDFR1, DNCI2, and SP110. Importantly, abnormal expression of several of these genes has not been associated previously with breast cancer. The consistency of these observations was validated in independent mouse and human mammary cancer sets. This is the first interspecies comparison of mammary cancer gene expression profiles. The comparative analysis of mouse and human SAGE mammary cancer data validates this p53 null mouse tumor model as a useful system closely resembling human breast cancer development and progression. More importantly, these studies are allowing us to identify relevant biomarkers of potential use in human studies while leading to a better understanding of specific mechanisms of human breast carcinogenesis.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15520179      PMCID: PMC4170686          DOI: 10.1158/0008-5472.CAN-04-1827

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  44 in total

1.  p27 destruction: Cks1 pulls the trigger.

Authors:  J Bartek; J Lukas
Journal:  Nat Cell Biol       Date:  2001-04       Impact factor: 28.824

2.  Serial analysis of gene expression in normal p53 null mammary epithelium.

Authors:  C Marcelo Aldaz; Yuhui Hu; Rachael Daniel; Sally Gaddis; Frances Kittrell; Daniel Medina
Journal:  Oncogene       Date:  2002-09-12       Impact factor: 9.867

3.  Effects of estrogen on global gene expression: identification of novel targets of estrogen action.

Authors:  A H Charpentier; A K Bednarek; R L Daniel; K A Hawkins; K J Laflin; S Gaddis; M C MacLeod; C M Aldaz
Journal:  Cancer Res       Date:  2000-11-01       Impact factor: 12.701

4.  Functional diversity of gro gene expression in human fibroblasts and mammary epithelial cells.

Authors:  A Anisowicz; D Zajchowski; G Stenman; R Sager
Journal:  Proc Natl Acad Sci U S A       Date:  1988-12       Impact factor: 11.205

5.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

6.  Alterations in the expression of the cell cycle regulatory protein cyclin kinase subunit 1 in colorectal carcinoma.

Authors:  Ma'anit Shapira; Ofer Ben-Izhak; Bishara Bishara; Boris Futerman; Ira Minkov; Michael M Krausz; Michele Pagano; Dan D Hershko
Journal:  Cancer       Date:  2004-04-15       Impact factor: 6.860

7.  Changes in the expression of many Ets family transcription factors and of potential target genes in normal mammary tissue and tumors.

Authors:  Christina K Galang; William J Muller; Gabriele Foos; Robert G Oshima; Craig A Hauser
Journal:  J Biol Chem       Date:  2003-12-08       Impact factor: 5.157

8.  Essential requirement of apolipoprotein J (clusterin) signaling for IkappaB expression and regulation of NF-kappaB activity.

Authors:  Giorgia Santilli; Bruce J Aronow; Arturo Sala
Journal:  J Biol Chem       Date:  2003-07-25       Impact factor: 5.157

9.  Secretory leucoprotease inhibitor prevents lipopolysaccharide-induced IkappaBalpha degradation without affecting phosphorylation or ubiquitination.

Authors:  Clifford C Taggart; Catherine M Greene; Noel G McElvaney; Shane O'Neill
Journal:  J Biol Chem       Date:  2002-06-25       Impact factor: 5.157

10.  Molecular markers in ductal carcinoma in situ of the breast.

Authors:  Dale Porter; Jaana Lahti-Domenici; Aparna Keshaviah; Young Kyung Bae; Pedram Argani; Jeffrey Marks; Andrea Richardson; Amiel Cooper; Robert Strausberg; Gregory J Riggins; Stuart Schnitt; Edward Gabrielson; Rebecca Gelman; Kornelia Polyak
Journal:  Mol Cancer Res       Date:  2003-03       Impact factor: 5.852

View more
  26 in total

1.  Spontaneous transformation of murine epithelial cells requires the early acquisition of specific chromosomal aneuploidies and genomic imbalances.

Authors:  Hesed M Padilla-Nash; Karen Hathcock; Nicole E McNeil; David Mack; Daniel Hoeppner; Rea Ravin; Turid Knutsen; Raluca Yonescu; Danny Wangsa; Kathleen Dorritie; Linda Barenboim; Yue Hu; Thomas Ried
Journal:  Genes Chromosomes Cancer       Date:  2011-12-08       Impact factor: 5.006

2.  Consistent deregulation of gene expression between human and murine MLL rearrangement leukemias.

Authors:  Zejuan Li; Roger T Luo; Shuangli Mi; Miao Sun; Ping Chen; Jingyue Bao; Mary Beth Neilly; Nimanthi Jayathilaka; Deborah S Johnson; Lili Wang; Catherine Lavau; Yanming Zhang; Charles Tseng; Xiuqing Zhang; Jian Wang; Jun Yu; Huanming Yang; San Ming Wang; Janet D Rowley; Jianjun Chen; Michael J Thirman
Journal:  Cancer Res       Date:  2009-01-20       Impact factor: 12.701

3.  The application of gene co-expression network reconstruction based on CNVs and gene expression microarray data in breast cancer.

Authors:  Yan Xu; Huizi Duanmu; Zhiqiang Chang; Shanzhen Zhang; Zhenqi Li; Zihui Li; Yufeng Liu; Kening Li; Fujun Qiu; Xia Li
Journal:  Mol Biol Rep       Date:  2011-05-25       Impact factor: 2.316

4.  Identification of modulated genes by three classes of chemopreventive agents at preneoplastic stages in a p53-null mouse mammary tumor model.

Authors:  Martín C Abba; Yuhui Hu; Carla C Levy; Sally Gaddis; Frances S Kittrell; Jamal Hill; Reid P Bissonnette; Powel H Brown; Daniel Medina; C Marcelo Aldaz
Journal:  Cancer Prev Res (Phila)       Date:  2009-01-27

5.  Identification of novel amplification gene targets in mouse and human breast cancer at a syntenic cluster mapping to mouse ch8A1 and human ch13q34.

Authors:  Martin C Abba; Victoria T Fabris; Yuhui Hu; Frances S Kittrell; Wei-Wen Cai; Lawrence A Donehower; Aysegul Sahin; Daniel Medina; C Marcelo Aldaz
Journal:  Cancer Res       Date:  2007-05-01       Impact factor: 12.701

Review 6.  Immediate early response gene X-1, a potential prognostic biomarker in cancers.

Authors:  Mei X Wu; Irina V Ustyugova; Liping Han; Oleg E Akilov
Journal:  Expert Opin Ther Targets       Date:  2013-02-04       Impact factor: 6.902

Review 7.  The relevance of mouse models to understanding the development and progression of human breast cancer.

Authors:  D Craig Allred; Daniel Medina
Journal:  J Mammary Gland Biol Neoplasia       Date:  2008-08-14       Impact factor: 2.673

8.  Breast cancer molecular signatures as determined by SAGE: correlation with lymph node status.

Authors:  Martín C Abba; Hongxia Sun; Kathleen A Hawkins; Jeffrey A Drake; Yuhui Hu; Maria I Nunez; Sally Gaddis; Tao Shi; Steve Horvath; Aysegul Sahin; C Marcelo Aldaz
Journal:  Mol Cancer Res       Date:  2007-09       Impact factor: 5.852

9.  Developmental staging of male murine embryonic gonad by SAGE analysis.

Authors:  Tin-Lap Lee; Yunmin Li; Diana Alba; Queenie P Vong; Shao-Ming Wu; Vanessa Baxendale; Owen M Rennert; Yun-Fai Chris Lau; Wai-Yee Chan
Journal:  J Genet Genomics       Date:  2009-04       Impact factor: 4.275

Review 10.  Unlocking the power of cross-species genomic analyses: identification of evolutionarily conserved breast cancer networks and validation of preclinical models.

Authors:  Christina N Bennett; Jeffrey E Green
Journal:  Breast Cancer Res       Date:  2008-09-11       Impact factor: 6.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.