Evidence map›Paper›PMID 27127882›Full record

ArticleOncotarget2016

Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer.

Yun Xia, Chiang-Ching Huang, Rachel Dittmar, Meijun Du, Yuan Wang, Hongyan Liu, Niraj Shenoy, Liang Wang, Manish Kohli

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-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

31 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. cfDNA-Based NGS IG Analysis in Lymphoma.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Review
  11. Article
  12. Properties and Application of Cell-Free DNA as a Clinical Biomarker.International journal of molecular sciences · 2021
    Review
  13. Article
  14. Review
  15. Cell-Free DNA: Hope and Potential Application in Cancer.Frontiers in cell and developmental biology · 2021
    Review
  16. Urinary Nucleic Acid in Tumor: Bioinformatics Approaches.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  17. Article
  18. Toward Systems Pathology for PTEN Diagnostics.Cold Spring Harbor perspectives in medicine · 2020
    Review
  19. Article
  20. Article
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

9 authors at 4 institutions in 2 countries.

Yun XiaDepartment of General Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chiang-Ching HuangJoseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA.
Rachel DittmarDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Meijun DuDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Yuan WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Hongyan LiuDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Niraj ShenoyDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Liang WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Manish KohliDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Medical College of Wisconsin · USMayo Clinic in Arizona · USHuazhong University of Science and Technology · CNUniversity of Wisconsin–Milwaukee · US

Funding

Genetic determinants of gene expression phenotypes in aggressive prostate cancerR01CA157881 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI WANG, LIANG · 2011 to 2016
$2.9M
NCI NIH HHS R01 CA157881
6 · The paper itself

Abstract

Genetic profiling of urine cell free DNA (cfDNA) has not been evaluated in advanced prostate cancer. We performed whole genome sequencing of urine cfDNAs to identify tumor-associated copy number variations in urine before and after initiating androgen deprivation therapy in HSPC stage and docetaxel chemotherapy in CRPC stage. A log2 ratio-based copy number analysis detected common genomic abnormalities in prostate cancer including AR amplification in 5/10 CRPC patients. Other abnormalities identified included TMPRSS2-ERG fusion, PTEN gene deletion, NOTCH1 locus amplification along with genomic amplifications at 8q24.3, 9q34.3, 11p15.5 and 14q11.2, and deletions at 4q35.2, 5q31.3, 7q36.3, 12q24.33, and 16p11.2. By comparing copy number between pre- and post-treatment, we found significant copy number changes in 34 genomic loci. To estimate the somatic tumor DNA fraction in urine cfDNAs, we developed a Urine Genomic Abnormality (UGA) score algorithm that summed the top ten most significant segments with copy number changes. The UGA scores correlated with tumor burden and the change in UGA score after stage-specific therapies reflected disease progression status and overall survival. The study demonstrates the potential clinical utility of urine cfDNAs in predicting treatment response and monitoring disease progression.

Indexed as

DNA Copy Number VariationsAgedAndrogen AntagonistsAntineoplastic AgentsBiomarkers, TumorCell-Free Nucleic AcidsChromosome AberrationsDNA, NeoplasmDocetaxelHumansKaplan-Meier EstimateMaleMiddle AgedOutcome Assessment, Health CareProstatic NeoplasmsPTEN PhosphohydrolaseAndrogen AntagonistsAntineoplastic AgentsBiomarkers, TumorCell-Free Nucleic AcidsDNA, NeoplasmDocetaxelNOTCH1 protein, humanPTEN PhosphohydrolasePTEN protein, humanReceptor, Notch1Receptors, AndrogenTaxoidscell free DNAliquid biopsynext generation sequencingprostate cancerurine

Identifiers

PMID27127882
PMCPMC5094965
OpenAlexW2343495497

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.