Evidence map›Paper›PMID 26575023›Full record

ArticleOncotarget2015

A comparison of isolated circulating tumor cells and tissue biopsies using whole-genome sequencing in prostate cancer.

Runze Jiang, Yi-Tsung Lu, Hao Ho, Bo Li, Jie-Fu Chen, Millicent Lin, Fuqiang Li, Kui Wu, Hanjie Wu, Jake Lichterman and 19 more

Abstract readComparative Study
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 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Single Cell Genomics for Tumor Heterogeneity.Advances in experimental medicine and biology · 2021
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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

29 authors.

Runze JiangBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Yi-Tsung LuUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Hao HoDepartment of Statistics, University of California, Los Angeles, CA 90095, USA.
Bo LiBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Jie-Fu ChenUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Millicent LinDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Fuqiang LiBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Kui WuBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Hanjie WuBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Jake LichtermanUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Haolei WanDepartment of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095, USA.
Chia-Lun LuUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
William OuYangDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Ming NiBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Linlin WangBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Guibo LiBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Tom LeeCalifornia NanoSystems Institute, University of California, Los Angeles, CA 90095, USA.
Xiuqing ZhangThe Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen 51803, China.
Jonathan YangDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Matthew RettigDepartments of Medicine and Urology, University of California, Los Angeles, CA 90095, USA.
Leland W K ChungUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Huanming YangBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Ker-Chau LiDepartment of Statistics, University of California, Los Angeles, CA 90095, USA.
Yong HouBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Hsian-Rong TsengDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Shuang HouDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Xun XuBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Jun WangBeijing Genome Institute-Shenzhen, Shenzhen 51803, China.
Edwin M PosadasUrologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REITER, ROBERT E · 2002 to 2023
$42.6M
Prostate Cancer Bone Metastasis: Biology and TargetingP01CA098912 · NCI · EMORY UNIVERSITY · PI TIGHIOUART, MOURAD · 2003 to 2019
$24.0M
Thermoresponsive NanoVelcro CTC Purification System for Prostate Cancer ProfilingU01CA198900 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2015 to 2019
$2.4M
CTC Purification System Based on Thermoresponsive NanoSubstratesR44CA180482 · NCI · CYTOLUMINA TECHNOLOGIES CORPORATION, INC · PI LIU, SEAN XIAO, TSENG, HSIAN-RONG · 2015 to 2016
$2.0M
Advanced Development of An Integrated CTC Enrichment TechnologyR33CA157396 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2011 to 2013
$672k
3D-Nanostrcutured Substrates for Detection of Circulating Tumor CellsR21CA151159 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2010 to 2011
$362k
NCI NIH HHS P01 CA098912NCI NIH HHS R21 CA151159NCI NIH HHS R33 CA157396NCI NIH HHS R44 CA180482NCI NIH HHS U01 CA198900
6 · The paper itself

Abstract

Previous studies have demonstrated focal but limited molecular similarities between circulating tumor cells (CTCs) and biopsies using isolated genetic assays. We hypothesized that molecular similarity between CTCs and tissue exists at the single cell level when characterized by whole genome sequencing (WGS). By combining the NanoVelcro CTC Chip with laser capture microdissection (LCM), we developed a platform for single-CTC WGS. We performed this procedure on CTCs and tissue samples from a patient with advanced prostate cancer who had serial biopsies over the course of his clinical history. We achieved 30X depth and ≥ 95% coverage. Twenty-nine percent of the somatic single nucleotide variations (SSNVs) identified were founder mutations that were also identified in CTCs. In addition, 86% of the clonal mutations identified in CTCs could be traced back to either the primary or metastatic tumors. In this patient, we identified structural variations (SVs) including an intrachromosomal rearrangement in chr3 and an interchromosomal rearrangement between chr13 and chr15. These rearrangements were shared between tumor tissues and CTCs. At the same time, highly heterogeneous short structural variants were discovered in PTEN, RB1, and BRCA2 in all tumor and CTC samples. Using high-quality WGS on single-CTCs, we identified the shared genomic alterations between CTCs and tumor tissues. This approach yielded insight into the heterogeneity of the mutational landscape of SSNVs and SVs. It may be possible to use this approach to study heterogeneity and characterize the biological evolution of a cancer during the course of its natural history.

Indexed as

Base SequenceBiomarkers, TumorBiopsyCell SeparationChromosomes, HumanDNA Mutational AnalysisGene Expression ProfilingGene Expression Regulation, NeoplasticGene RearrangementGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansLaser Capture MicrodissectionLiver NeoplasmsMaleBiomarkers, Tumorcancer heterogeneitycirculating tumor cellliquid biopsyprostate cancerwhole genome sequencing

Identifiers

PMID26575023
PMCPMC4792591

What OpenQuestion holds

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Registered trials

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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.