Evidence map›Paper›PMID 15318932›Full record

ArticleBreast cancer research : BCR2004

Transcriptomic changes in human breast cancer progression as determined by serial analysis of gene expression.

Martin C Abba, Jeffrey A Drake, Kathleen A Hawkins, Yuhui Hu, Hongxia Sun, Cintia Notcovich, Sally Gaddis, Aysegul Sahin, Keith Baggerly, C Marcelo Aldaz

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in Breast cancer research : BCR, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 135 citations in OpenAlex.

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  15. Oncotarget · 2018
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  17. APLP2 Modulates JNK-Dependent Cell Migration inBioMed research international · 2018
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Martin C AbbaDepartment of Carcinogenesis, The University of Texas MD Anderson Cancer Center, Science Park - Research Division, Smithville, Texas, USA. mabba@mdanderson.org
Jeffrey A Drake
Kathleen A Hawkins
Yuhui Hu
Hongxia Sun
Cintia Notcovich
Sally Gaddis
Aysegul Sahin
Keith Baggerly
C Marcelo Aldaz
The University of Texas MD Anderson Cancer Center · US

Funding

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 1U19 CA84978NCI NIH HHS U19 CA084978
6 · The paper itself

Abstract

introductionGenomic and transcriptomic alterations affecting key cellular processes such us cell proliferation, differentiation and genomic stability are considered crucial for the development and progression of cancer. Most invasive breast carcinomas are known to derive from precursor in situ lesions. It is proposed that major global expression abnormalities occur in the transition from normal to premalignant stages and further progression to invasive stages. Serial analysis of gene expression (SAGE) was employed to generate a comprehensive global gene expression profile of the major changes occurring during breast cancer malignant evolution.

methodsIn the present study we combined various normal and tumor SAGE libraries available in the public domain with sets of breast cancer SAGE libraries recently generated and sequenced in our laboratory. A recently developed modified t test was used to detect the genes differentially expressed.

resultsWe accumulated a total of approximately 1.7 million breast tissue-specific SAGE tags and monitored the behavior of more than 25,157 genes during early breast carcinogenesis. We detected 52 transcripts commonly deregulated across the board when comparing normal tissue with ductal carcinoma in situ, and 149 transcripts when comparing ductal carcinoma in situ with invasive ductal carcinoma (P < 0.01).

conclusionA major novelty of our study was the use of a statistical method that correctly accounts for the intra-SAGE and inter-SAGE library sources of variation. The most useful result of applying this modified t statistics beta binomial test is the identification of genes and gene families commonly deregulated across samples within each specific stage in the transition from normal to preinvasive and invasive stages of breast cancer development. Most of the gene expression abnormalities detected at the in situ stage were related to specific genes in charge of regulating the proper homeostasis between cell death and cell proliferation. The comparison of in situ lesions with fully invasive lesions, a much more heterogeneous group, clearly identified as the most importantly deregulated group of transcripts those encoding for various families of proteins in charge of extracellular matrix remodeling, invasion and cell motility functions.

Indexed as

Gene Expression ProfilingApoptosisBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCell CycleCell DivisionExtracellular MatrixGene ExpressionGene LibraryHumansNeoplasm InvasivenessNeoplasm MetastasisNF-kappa BTumor Necrosis Factor-alphaNF-kappa BTumor Necrosis Factor-alpha

Identifiers

PMID15318932
PMCPMC549167
OpenAlexW2109137321

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.