Evidence map›Paper›PMID 26695660›Full record

ArticlePloS one2015

Mutational Landscapes of Sequential Prostate Metastases and Matched Patient Derived Xenografts during Enzalutamide Therapy.

Manish Kohli, Liguo Wang, Fang Xie, Hugues Sicotte, Ping Yin, Scott M Dehm, Steven N Hart, Peter T Vedell, Poulami Barman, Rui Qin and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

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  9. Copy Number Loss of 17q22 Is Associated with Enzalutamide Resistance and Poor Prognosis in Metastatic Castration-Resistant Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Observational
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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

21 authors at 3 institutions in 1 country.

Manish KohliDepartment of Oncology, Mayo Clinic, Rochester, Minnesota, United States of America.
Liguo WangDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Fang XieDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, United States of America.
Hugues SicotteDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Ping YinDepartment of Oncology, Mayo Clinic, Rochester, Minnesota, United States of America.
Scott M DehmMasonic Cancer Center and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Steven N HartDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Peter T VedellDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Poulami BarmanDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Rui QinDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Douglas W MahoneyDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Rachel E CarlsonDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Jeanette E Eckel-PassowDivision of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Thomas D AtwellDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Patrick W EikenDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Brendan P McMenomyDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Eric D WiebenDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota, United States of America.
Gautam JhaDivision of Hematology-Oncology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Rafael E JimenezDepartment of Pathology and Lab Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
Richard WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, United States of America.
Liewei WangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, United States of America.
Mayo Clinic · USMayo Clinic in Florida · USUniversity of Minnesota · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
AR Gene Rearrangements and AR Signaling in Prostate CancerR01CA174777 · NCI · UNIVERSITY OF MINNESOTA · PI Scott M. Dehm · 2013 to 2026
$4.9M
NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA174777NCI NIH HHS R01CA174777
6 · The paper itself

Abstract

Developing patient derived models from individual tumors that capture the biological heterogeneity and mutation landscape in advanced prostate cancer is challenging, but essential for understanding tumor progression and delivery of personalized therapy in metastatic castrate resistant prostate cancer stage. To demonstrate the feasibility of developing patient derived xenograft models in this stage, we present a case study wherein xenografts were derived from cancer metastases in a patient progressing on androgen deprivation therapy and prior to initiating pre-chemotherapy enzalutamide treatment. Tissue biopsies from a metastatic rib lesion were obtained for sequencing before and after initiating enzalutamide treatment over a twelve-week period and also implanted subcutaneously as well as under the renal capsule in immuno-deficient mice. The genome and transcriptome landscapes of xenografts and the original patient tumor tissues were compared by performing whole exome and transcriptome sequencing of the metastatic tumor tissues and the xenografts at both time points. After comparing the somatic mutations, copy number variations, gene fusions and gene expression we found that the patient's genomic and transcriptomic alterations were preserved in the patient derived xenografts with high fidelity. These xenograft models provide an opportunity for predicting efficacy of existing and potentially novel drugs that is based on individual metastatic tumor expression signature and molecular pharmacology for delivery of precision medicine.

Indexed as

MutationProstatic NeoplasmsAnimalsBenzamidesGene Expression Regulation, NeoplasticHeterograftsHumansMaleMiceNeoplasm MetastasisNeoplasm TransplantationNitrilesPhenylthiohydantoinXenograft Model Antitumor AssaysBenzamidesenzalutamideNitrilesPhenylthiohydantoin

Identifiers

PMID26695660
PMCPMC4687867
OpenAlexW2198408294

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.