Evidence map›Paper›PMID 35084050›Full record

ArticleThe Prostate2022

Implementation of a prostate cancer-specific targeted sequencing panel for credentialing of patient-derived cell lines and genomic characterization of patient samples.

Elizabeth H Stover, Coyin Oh, Paula Keskula, Atish D Choudhury, Yuen-Yi Tseng, Viktor A Adalsteinsson, Jens G Lohr, Aaron R Thorner, Matthew Ducar, Gregory V Kryukov and 13 more

Open access · greenAbstract read
In one paragraph

Article in The Prostate, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

23 authors at 7 institutions in 1 country.

Elizabeth H StoverDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.ORCID 0000-0002-6578-3216
Coyin OhCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Paula KeskulaCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Atish D ChoudhuryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.ORCID 0000-0001-9344-6631
Yuen-Yi TsengCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Viktor A AdalsteinssonCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jens G LohrDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Aaron R ThornerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Matthew DucarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Gregory V KryukovDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Gavin HaPublic Health Sciences Division and Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Mara RosenbergCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Samuel S FreemanCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Zhenwei ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Xiaoyun WuCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
David Y TakedaCenter for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Massimo LodaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Chin-Lee WuDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Mary-Ellen TaplinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Levi A GarrawayGenentech/Roche, San Francisco, California, USA.
Jesse S BoehmCancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Franklin W HuangDivision of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-5447-0436
Broad Institute · USDana-Farber Cancer Institute · USHarvard University · USFred Hutch Cancer Center · USMemorial Medical Center · USNational Cancer Institute · USSan Francisco VA Medical Center · US

Funding

Tuberous Sclerosis-Pathway and PathogenesisP01CA120964 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI David J. Kwiatkowski · 2007 to 2026
$35.9M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Weill Cornell Medicine (WCM) SPORE in Prostate CancerP50CA211024 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LODA, MASSIMO · 2017 to 2021
$10.9M
Identification of epigenetic drivers of castration-resistant prostate cancerZIABC011973 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TAKEDA, DAVID · 2020 to 2025
$4.6M
Molecular Link Between Metabolic Syndrome and Prostate CancerR01CA131945 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO · 2008 to 2018
$4.0M
Targeting the p110beta isoform of PI3 kinase in prostate cancerR01CA187918 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO, ROBERTS, THOMAS M · 2015 to 2019
$2.8M
The roles of anti-apoptotic proteins BCL-XL and MCL1 in mediating survival of high-grade serous ovarian cancer following drug-induced DNA damageK08CA237871 · NCI · DANA-FARBER CANCER INST · PI STOVER, ELIZABETH HARMON · 2019 to 2023
$921k
Determining the mutational landscape of circulating multiple myeloma cellsK08CA191026 · NCI · DANA-FARBER CANCER INST · PI LOHR, JENS G · 2015 to 2019
$886k
Transcriptional Regulation of the Androgen Receptor in Prostate CancerK08CA218530 · NCI · DANA-FARBER CANCER INST · PI TAKEDA, DAVID YOSHIO · 2017 to 2019
$531k
NCI NIH HHS K08 CA191026NCI NIH HHS K08 CA218530NCI NIH HHS K08 CA237871NCI NIH HHS P01 CA120964NCI NIH HHS P50 CA211024NCI NIH HHS R01 CA131945NCI NIH HHS R01 CA187918NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

backgroundPrimary and metastatic prostate cancers have low mutation rates and recurrent alterations in a small set of genes, enabling targeted sequencing of prostate cancer-associated genes as an efficient approach to characterizing patient samples (compared to whole-exome and whole-genome sequencing). For example, targeted sequencing provides a flexible, rapid, and cost-effective method for genomic assessment of patient-derived cell lines to evaluate fidelity to initial patient tumor samples.

methodsWe developed a prostate cancer-specific targeted next-generation sequencing (NGS) panel to detect alterations in 62 prostate cancer-associated genes as well as recurring gene fusions with ETS family members, representing the majority of common alterations in prostate cancer. We tested this panel on primary prostate cancer tissues and blood biopsies from patients with metastatic prostate cancer. We generated patient-derived cell lines from primary prostate cancers using conditional reprogramming methods and applied targeted sequencing to evaluate the fidelity of these cell lines to the original patient tumors.

resultsThe prostate cancer-specific panel identified biologically and clinically relevant alterations, including point mutations in driver oncogenes and ETS family fusion genes, in tumor tissues from 29 radical prostatectomy samples. The targeted panel also identified genomic alterations in cell-free DNA and circulating tumor cells (CTCs) from patients with metastatic prostate cancer, and in standard prostate cancer cell lines. We used the targeted panel to sequence our set of patient-derived cell lines; however, no prostate cancer-specific mutations were identified in the tumor-derived cell lines, suggesting preferential outgrowth of normal prostate epithelial cells.

conclusionsWe evaluated a prostate cancer-specific targeted NGS panel to detect common and clinically relevant alterations (including ETS family gene fusions) in prostate cancer. The panel detected driver mutations in a diverse set of clinical samples of prostate cancer, including fresh-frozen tumors, cell-free DNA, CTCs, and cell lines. Targeted sequencing of patient-derived cell lines highlights the challenge of deriving cell lines from primary prostate cancers and the importance of genomic characterization to credential candidate cell lines. Our study supports that a prostate cancer-specific targeted sequencing panel provides an efficient, clinically feasible approach to identify genetic alterations across a spectrum of prostate cancer samples and cell lines.

Indexed as

Cell-Free Nucleic AcidsProstatic NeoplasmsCell LineCredentialingHigh-Throughput Nucleotide SequencingHumansMaleMutationCell-Free Nucleic Acidscell-free DNAgene rearrangementsnext-generation sequencingpatient-derived cell linesprostate cancer

Identifiers

PMID35084050
PMCPMC8887817
OpenAlexW4210547466

What OpenQuestion holds

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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.