Evidence map›Paper›PMID 25915538›Full record

ArticleOncotarget2015

Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer.

Shu Xia, Manish Kohli, Meijun Du, Rachel L Dittmar, Adam Lee, Debashis Nandy, Tiezheng Yuan, Yongchen Guo, Yuan Wang, Michael R Tschannen and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  19. Liquid biopsy approach in the management of prostate cancer.Translational research : the journal of laboratory and clinical medicine · 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

18 authors at 5 institutions in 2 countries.

Shu XiaDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Manish KohliDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Meijun DuDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Rachel L DittmarDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Adam LeeMolecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Debashis NandyDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Tiezheng YuanDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Yongchen GuoDepartment 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.
Michael R TschannenHuman Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Elizabeth WortheyHuman Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Howard JacobHuman Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA.
William SeeDepartment of Urology, Medical College of Wisconsin, Milwaukee, WI, USA.
Deepak KilariDepartment of Urology, Medical College of Wisconsin, Milwaukee, WI, USA.
Xuexia WangJoseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA.
Raymond L HoveyGreat Lakes Genomics Center, School of Freshwater Sciences, University of Wisconsin, Milwaukee, WI, USA.
Chiang-Ching HuangJoseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA.
Liang WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · USUniversity of Wisconsin–Milwaukee · USMayo Clinic in Arizona · USMayo Clinic · USTongji Hospital · CN

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 CA157881NCI NIH HHS R01 CA157881
6 · The paper itself

Abstract

Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole genome and targeted sequencing to examine the plasma cfDNAs derived from 20 patients with advanced prostate cancer. Sequencing-based genomic abnormality analysis revealed locus-specific gains or losses that were common in prostate cancer, such as 8q gains, AR amplifications, PTEN losses and TMPRSS2-ERG fusions. To estimate tumor burden in cfDNA, we developed a Plasma Genomic Abnormality (PGA) score by summing the most significant copy number variations. Cox regression analysis showed that PGA scores were significantly associated with overall survival (p < 0.04). After androgen deprivation therapy or chemotherapy, targeted sequencing showed significant mutational profile changes in genes involved in androgen biosynthesis, AR activation, DNA repair, and chemotherapy resistance. These changes may reflect the dynamic evolution of heterozygous tumor populations in response to these treatments. These results strongly support the feasibility of using non-invasive liquid biopsies as potential tools to study biological mechanisms underlying therapy-specific resistance and to predict disease progression in advanced prostate cancer.

Indexed as

AgedAged, 80 and overAndrogen AntagonistsBase SequenceBiopsyDNA Copy Number VariationsDNA, NeoplasmGene DosageGene LibraryGenome, HumanGenome-Wide Association StudyHumansMaleMiddle AgedPlasmaProstateAndrogen AntagonistsDNA, NeoplasmERG protein, humanPTEN PhosphohydrolasePTEN protein, humanRecombinant Fusion ProteinsSerine EndopeptidasesTMPRSS2 protein, humanTrans-ActivatorsTranscriptional Regulator ERGcell free DNAliquid biopsynext generation sequencingplasmaprostate cancer

Identifiers

PMID25915538
PMCPMC4599278
OpenAlexW1805253056

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.