Evidence map›Paper›PMID 7819583›Full record

ReviewBreast cancer research and treatment1994

Tumor suppressor genes and their roles in breast cancer.

L A Cox, G Chen, E Y Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer research and treatment, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  3. Growth inhibitory efficacy ofOncology letters · 2019
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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 1 institution in 1 country.

L A CoxCenter for Molecular Medicine/Institute of Biotechnology, University of Texas Health Science Center, San Antonio 78245-3207.
G Chen
E Y Lee
The University of Texas Health Science Center at San Antonio · US

Funding

TUMOR SUPPRESSOR GENES IN BREAST CANCER DEVELOPMENTP50CA058183 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI OSBORNE, C KENT · 1992 to 2012
$30.9M
Oncogenes and loss of ER in a new p53 breast tumor modelR37CA049649 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEE, EVA Y · 2002 to 2006
$1.5M
TUMOR SUPPRESSION FUNCTION OF RB &P53 IN MAMMARY GLANDR01CA049649 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI LEE, EVA Y · 1994 to 1998
–
MOUSE MODELS FOR STUDIES OF THE RETINOBLASTOMA GENER01HD030265 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI LEE, EVA Y · 1994 to 1997
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CANCER SUPPRESSION &DEVELOPMENTAL FUNCTIONS OF RB GENER29CA049649 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI LEE, EVA Y · 1989 to 1993
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NCI NIH HHS CA49649NCI NIH HHS CA-58183NICHD NIH HHS HD30265
6 · The paper itself

Abstract

Tumor suppressor genes have been identified by the occurrence of mutations in many families with hereditary forms of cancer, exposed during development of the tumor by loss of heterozygosity. They have a number of diverse functions. For example, both the RB gene of retinoblastoma and the p53 gene, which is commonly mutated in breast and colon cancer among others, produce proteins involved in distinct steps of cell cycle control, while the nm23 product prevents metastasis. Here we review the data developed until now on the possible presence and role of mutations in these and other tumor suppressor genes in breast cancer. A more complete understanding of the tumor suppressor genes could not only provide diagnostic information, but could lead to specific gene therapy to replace suppressor functions lost in individual tumors.

Indexed as

Genes, Tumor SuppressorAnimalsBreast NeoplasmsCell CycleGenetic TherapyHumans

Identifiers

PMID7819583
OpenAlexW2003000890

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.