Evidence map›Paper›PMID 16677389›Full record

ArticleBMC cancer2006

An informatics model for tissue banks--lessons learned from the Cooperative Prostate Cancer Tissue Resource.

Ashokkumar A Patel, John R Gilbertson, Anil V Parwani, Rajiv Dhir, Milton W Datta, Rajnish Gupta, Jules J Berman, Jonathan Melamed, Andre Kajdacsy-Balla, Jan Orenstein and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The liver tissue bank and clinical database in China.Frontiers of medicine in China · 2010
    Article
  7. Article
  8. Article
  9. Article
  10. IT Infrastructure Components for Biobanking.Applied clinical informatics · 2010
    Article
  11. Article
  12. Article
  13. Article
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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

12 authors at 6 institutions in 1 country.

Ashokkumar A PatelDepartment of Pathology, Center for Pathology Informatics, Benedum Oncology Informatics Center, University of Pittsburgh, Pittsburgh, PA, USA. patelaa@upmc.edu
John R Gilbertson
Anil V Parwani
Rajiv Dhir
Milton W Datta
Rajnish Gupta
Jules J Berman
Jonathan Melamed
Andre Kajdacsy-Balla
Jan Orenstein
Michael J Becich
Cooperative Prostate Cancer Tissue Resource
University of Pittsburgh · USEmory University · USGeorge Washington University · USNational Cancer Institute · USNew York University · USUniversity of Illinois Chicago · US

Funding

A SHARED TISSUE RESOURCE FOR THE MOLECULAR CLASSIFACTIONU01CA086735 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECICH, MICHAEL JOHN · 2000 to 2005
$3.3M
NYU COOPERATIVE PROSTATE CANCER TISSUE RESOURCEU01CA086772 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MELAMED, JONATHAN · 2000 to 2005
$2.4M
MID ATLANTIC PROSTATE CANCER BANKU01CA086739 · NCI · GEORGE WASHINGTON UNIVERSITY · PI ORENSTEIN, JAN M · 2000 to 2004
$2.4M
FACILITATING DISCOVERY THROUGH A HUMAN PROSTATE TISSUE RU01CA086743 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KAJDACSY-BALLA, ANDRE A · 2000 to 2004
$2.2M
NCI NIH HHS U01 CA086735NCI NIH HHS U01 CA086739NCI NIH HHS U01 CA086743NCI NIH HHS U01 CA086772NCI NIH HHS U01 CA86735NCI NIH HHS U01 CA86739NCI NIH HHS U01 CA86743NCI NIH HHS U01 CA86772
6 · The paper itself

Abstract

backgroundAdvances in molecular biology and growing requirements from biomarker validation studies have generated a need for tissue banks to provide quality-controlled tissue samples with standardized clinical annotation. The NCI Cooperative Prostate Cancer Tissue Resource (CPCTR) is a distributed tissue bank that comprises four academic centers and provides thousands of clinically annotated prostate cancer specimens to researchers. Here we describe the CPCTR information management system architecture, common data element (CDE) development, query interfaces, data curation, and quality control.

methodsData managers review the medical records to collect and continuously update information for the 145 clinical, pathological and inventorial CDEs that the Resource maintains for each case. An Access-based data entry tool provides de-identification and a standard communication mechanism between each group and a central CPCTR database. Standardized automated quality control audits have been implemented. Centrally, an Oracle database has web interfaces allowing multiple user-types, including the general public, to mine de-identified information from all of the sites with three levels of specificity and granularity as well as to request tissues through a formal letter of intent.

resultsSince July 2003, CPCTR has offered over 6,000 cases (38,000 blocks) of highly characterized prostate cancer biospecimens, including several tissue microarrays (TMA). The Resource developed a website with interfaces for the general public as well as researchers and internal members. These user groups have utilized the web-tools for public query of summary data on the cases that were available, to prepare requests, and to receive tissues. As of December 2005, the Resource received over 130 tissue requests, of which 45 have been reviewed, approved and filled. Additionally, the Resource implemented the TMA Data Exchange Specification in its TMA program and created a computer program for calculating PSA recurrence.

conclusionBuilding a biorepository infrastructure that meets today's research needs involves time and input of many individuals from diverse disciplines. The CPCTR can provide large volumes of carefully annotated prostate tissue for research initiatives such as Specialized Programs of Research Excellence (SPOREs) and for biomarker validation studies and its experience can help development of collaborative, large scale, virtual tissue banks in other organ systems.

Indexed as

Information ManagementMedical Informatics ApplicationsTissue BanksDatabases as TopicGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInternetMaleMarketingMedical RecordsProstatic NeoplasmsQuality Control

Identifiers

PMID16677389
PMCPMC1484486
OpenAlexW1811399883

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.