Evidence map›Paper›PMID 23385974›Full record

ReviewCurrent opinion in urology2013

Molecular pathology of prostate cancer revealed by next-generation sequencing: opportunities for genome-based personalized therapy.

Jiaoti Huang, Jason K Wang, Yin Sun

Abstract readReview
In one paragraph

Review in Current opinion in urology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
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.

Jiaoti HuangDepartments of Pathology and Urology, Jonsson Comprehensive Cancer Center and Broad Center for Regenerative Medicine and Stem Cell Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-1732, USA. Huang@mednet.ucla.edu
Jason K Wang
Yin Sun
Broad Center · US

Funding

A novel strategy to identify prostate cancer biomarkers for patient managementR01CA172603 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, JIAOTI · 2013 to 2017
$1.6M
Biopsy Tracking and MRI Fusion to Enhance Imaging of Cancer Within the ProstateR01CA158627 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2011 to 2013
$1.4M
NCI NIH HHS 1R01CA158627-01NCI NIH HHS R01 CA158627NCI NIH HHS R01 CA172603
6 · The paper itself

Abstract

purpose of reviewThis article reviews recently identified genomic mutations in prostate cancer. RECENT

findingsAdvanced sequencing technologies have made it possible to obtain large amounts of data on genomes and transcriptomes of cancers. Such technologies have been used to sequence prostate cancer of different stages, from treatment-naive cancers, to advanced, castration-resistant cancers to the aggressive small cell neuroendocrine carcinomas. For each category of prostate cancer, distinct and overlapping DNA sequence alterations were discovered, including point mutations, small insertions or deletions, copy number changes and chromosomal rearrangements. There appears to be a stepwise increase in genomic alterations from low risk to high risk to advanced cancers. SUMMARY: These novel findings have significantly increased our knowledge of the genetic basis of human prostate cancer and the molecular mechanisms responsible for disease progression and treatment resistance. Some of the lesions are potential therapeutic targets. Studies along this direction will eventually make it possible to design personalized management plans for individual patients.

Indexed as

DNA Mutational AnalysisGene Expression ProfilingHigh-Throughput Nucleotide SequencingMutationPrecision MedicineGenetic Predisposition to DiseaseGenomicsHumansMalePhenotypePredictive Value of TestsPrognosisProstatic NeoplasmsRisk AssessmentRisk Factors

Identifiers

PMID23385974
PMCPMC4086526
OpenAlexW2000550286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.