Evidence map›Paper›PMID 15334065›Full record

ArticleOncogene2004

Tumor formation in p53 mutant ovaries transplanted into wild-type female hosts.

Chun-Ming Chen, Junn-Liang Chang, Richard R Behringer

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  8. Cooperative interaction of Nkx2.5 and Mef2c transcription factors during heart development.Developmental dynamics : an official publication of the American Association of Anatomists · 2008
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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

3 authors at 2 institutions in 2 countries.

Chun-Ming ChenDepartment of Molecular Genetics, University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA.
Junn-Liang Chang
Richard R Behringer
The University of Texas MD Anderson Cancer Center · USTaoyuan Armed Forces General Hospital · TW

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
Molecular Genetics of Female Reproductive TractR01HD030284 · NICHD · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BEHRINGER, RICHARD R · 1994 to 2013
$4.5M
NCI NIH HHS CA16672NCI NIH HHS CA83639NICHD NIH HHS HD30284ONCHIT HHS OC20187
6 · The paper itself

Abstract

P53: gene alterations correlate highly with advanced ovarian carcinoma in women. In mice, p53 deficiency predominantly results in the formation of lymphomas and sarcomas. However, ovarian epithelial tumors have not been documented in p53 homozygous mutant (p53-/-) mice, probably because they die before other tumors can form. To determine whether p53-/- ovaries can develop epithelial tumors, they were transplanted into the ovarian bursae of histocompatible wild-type recipient females. The p53-/- ovarian grafts formed tumors approximately 1 year post-transplantation. The tumor type was angiosarcoma, suggesting that vascular tissues are predisposed to tumor formation in p53-/-ovaries. These findings suggest that p53 deficiency alone is not sufficient for ovarian epithelial tumorigenesis in mice. Thus, other genetic lesions are likely required to develop mouse models of human ovarian cancer.

Indexed as

MutationAnimalsFemaleMiceMice, Inbred C57BLOvarian NeoplasmsOvaryTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID15334065
OpenAlexW2027309966

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.