Evidence map›Paper›PMID 22131877›Full record

ArticleNeoplasia (New York, N.Y.)2011

Detection of somatic copy number alterations in cancer using targeted exome capture sequencing.

Robert J Lonigro, Catherine S Grasso, Dan R Robinson, Xiaojun Jing, Yi-Mi Wu, Xuhong Cao, Michael J Quist, Scott A Tomlins, Kenneth J Pienta, Arul M Chinnaiyan

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Neoplasia (New York, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Racial variation in the advanced prostate cancer genome.Prostate cancer and prostatic diseases · 2025
    Article
  5. Antitumor Activity and Biomarker Analysis for TROP2 Antibody-Drug Conjugate Datopotamab Deruxtecan in Patient-Derived Breast Cancer Xenograft Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  6. Article
  7. Article
  8. Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  9. Article
  10. Novel somatic alterations underlie Chinese papillary thyroid carcinoma.Cancer biomarkers : section A of Disease markers · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Identification of novelCold Spring Harbor molecular case studies · 2018
    Review
  15. Detection of aneuploidy in patients with cancer through amplification of long interspersed nucleotide elements (LINEs).Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Robert J LonigroMichigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0602, USA.
Catherine S Grasso
Dan R Robinson
Xiaojun Jing
Yi-Mi Wu
Xuhong Cao
Michael J Quist
Scott A Tomlins
Kenneth J Pienta
Arul M Chinnaiyan
Michigan Center for Translational Pathology · USUniversity of Michigan–Ann Arbor · US

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J. · 2004 to 2024
$29.6M
Epitomic Biomarkers of Prostate CancerU01CA111275 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, RUBIN, MARK A. · 2004 to 2015
$6.8M
Reactive Stroma and Tumor Associated Macrophages in Prostate Cancer ProgressionU01CA143055 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROWLEY, DAVID R · 2010 to 2014
$2.7M
Howard Hughes Medical InstituteNCI NIH HHS 1 P01 CA093900NCI NIH HHS 1 U01CA143055NCI NIH HHS P01 CA093900NCI NIH HHS P50 CA069568NCI NIH HHS P50 CA69568NCI NIH HHS U01 CA111275NCI NIH HHS U01 CA143055
6 · The paper itself

Abstract

The research community at large is expending considerable resources to sequence the coding region of the genomes of tumors and other human diseases using targeted exome capture (i.e., "whole exome sequencing"). The primary goal of targeted exome sequencing is to identify nonsynonymous mutations that potentially have functional consequences. Here, we demonstrate that whole-exome sequencing data can also be analyzed for comprehensively monitoring somatic copy number alterations (CNAs) by benchmarking the technique against conventional array CGH. A series of 17 matched tumor and normal tissues from patients with metastatic castrate-resistant prostate cancer was used for this assessment. We show that targeted exome sequencing reliably identifies CNAs that are common in advanced prostate cancer, such as androgen receptor (AR) gain and PTEN loss. Taken together, these data suggest that targeted exome sequencing data can be effectively leveraged for the detection of somatic CNAs in cancer.

Indexed as

DNA Copy Number VariationsGene DosageCarcinomaCase-Control StudiesComparative Genomic HybridizationDNA Mutational AnalysisExomeHigh-Throughput Nucleotide SequencingHumansMaleModels, BiologicalProstatic NeoplasmsPTEN PhosphohydrolasePTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID22131877
PMCPMC3223606
OpenAlexW1665488395

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.