Evidence map›Paper›PMID 15520179›Full record

ArticleCancer research2004

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

Yuhui Hu, Hongxia Sun, Jeffrey Drake, Frances Kittrell, Martin C Abba, Li Deng, Sally Gaddis, Aysegul Sahin, Keith Baggerly, Daniel Medina and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 82 citations in OpenAlex.

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  9. Bioinformatics Analysis and High-Throughput Sequencing to Identify Differentially Expressed Genes in Nebulin Gene (NEB) Mutations Mice.Medical science monitor : international medical journal of experimental and clinical research · 2020
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  15. Abnormal expression of GADD45B in human colorectal carcinoma.Journal of translational medicine · 2012
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Yuhui HuDepartment of Carcinogenesis, The University of Texas M.D. Anderson Cancer Center, Science Park-Research Division, Smithville 78957, USA.
Hongxia Sun
Jeffrey Drake
Frances Kittrell
Martin C Abba
Li Deng
Sally Gaddis
Aysegul Sahin
Keith Baggerly
Daniel Medina
C Marcelo Aldaz
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USRice University · US

Funding

Pilot Project ProgramP30ES007784 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI RICHIE, ELLEN R · 1996 to 2011
$16.4M
MOUSE MODELS OF HUMAN BREAST CANCERU01CA084243 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ROSEN, JEFFREY MARK · 1999 to 2009
$7.3M
High resolution transcriptome analysis: lnn breast cancerU19CA084978 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI ALDAZ, C. MARCELO · 2001 to 2004
$4.8M
NCI NIH HHS U01 CA084243NCI NIH HHS U01 CA84243NCI NIH HHS U19 CA084978NCI NIH HHS U19 CA84978NIEHS NIH HHS ES-07784NIEHS NIH HHS P30 ES007784
6 · The paper itself

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.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsApoptosisBreast NeoplasmsCell DivisionChemokine CCL2Chemokine CXCL1Chemokines, CXCCytokinesFemaleGene Expression ProfilingHumansIntercellular Signaling Peptides and ProteinsInterleukin-6Leukemia Inhibitory FactorMammary Neoplasms, ExperimentalCCL2 protein, humanChemokine CCL2Chemokine CXCL1Chemokines, CXCCXCL1 protein, humanCytokinesIntercellular Signaling Peptides and ProteinsInterleukin-6Leukemia Inhibitory FactorLIF protein, humanLif protein, mouseNF-kappa BProteins

Identifiers

PMID15520179
PMCPMC4170686
OpenAlexW2124716054

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.