Evidence map›Paper›PMID 10673282›Full record

ArticleGenome research2000

High-resolution physical map and transcript identification of a prostate cancer deletion interval on 8p22.

Z H Arbieva, K Banerjee, S Y Kim, S L Edassery, V S Maniatis, S K Horrigan, C A Westbrook

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  4. TUSC3: functional duality of a cancer gene.Cellular and molecular life sciences : CMLS · 2018
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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

7 authors at 2 institutions in 1 country.

Z H ArbievaSection of Hematology-Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois 60607-7170 USA.
K Banerjee
S Y Kim
S L Edassery
V S Maniatis
S K Horrigan
C A Westbrook
Georgetown University · USUniversity of Illinois Chicago · US

Funding

NCI NIH HHS CA56705
6 · The paper itself

Abstract

A genomic interval of approximately 1-1.5 Mb centered at the MSR marker on 8p22 has emerged as a possible site for a tumor suppressor gene, based on high rates of allele loss and the presence of a homozygous deletion found in metastatic prostate cancer. The objective of this study was to prepare a bacterial contig of this interval, integrate the contig with radiation hybrid (RH) databases, and use these resources to identify transcription units that might represent the candidate tumor suppressor genes. Here we present a complete bacterial contig across the interval, which was assembled using 22 published and 17 newly originated STSs. The physical map provides twofold or greater coverage over much of the interval, including 17 BACs, 15 P1s, 2 cosmids, and 1 PAC clone. The position of the selected markers across the interval in relation to the other markers on the larger chromosomal scale was confirmed by RH mapping using the Stanford G3 RH panel. Transcribed units within the deletion region were identified by exon amplification, searching of the Human Transcript Map, placement of unmapped expressed sequence tags (ESTs) from the Radiation Hybrid Database (RHdb), and from other published sources, resulting in the isolation of six unique expressed sequences. The transcript map of the deletion interval now includes two known genes (MSR and N33) and six novel ESTs.

Indexed as

Chromosome DeletionChromosomes, Human, Pair 8DNA, NeoplasmExonsExpressed Sequence TagsGene AmplificationHumansHybrid CellsMaleMolecular Sequence DataPhysical Chromosome MappingProstatic NeoplasmsRNA, MessengerDNA, NeoplasmRNA, Messenger

Identifiers

PMID10673282
PMCPMC310830
OpenAlexW2124827601

What OpenQuestion holds

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Registered trials

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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.