Evidence map›Paper›PMID 28263318›Full record

ArticleNature genetics2017

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

Jin-Ku Lee, Jiguang Wang, Jason K Sa, Erik Ladewig, Hae-Ock Lee, In-Hee Lee, Hyun Ju Kang, Daniel S Rosenbloom, Pablo G Camara, Zhaoqi Liu and 19 more

Registry-linked trialAbstract read
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05756985 (Improving Understanding of Glioblastoma Through Preservation of Biologically Active Brain Tissue), which is not on this map. Cited by 172 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 1 pooled it
19.9field-weighted citation impact, top 1% 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.

NCT05756985 recruitingnot on this mapstarted 2024, after this paper: background citation

Improving Understanding of Glioblastoma Through Preservation of Biologically Active Brain Tissue (PRESERVE GBM)

TypeobservationalSponsorBaptist Health South FloridaRan2024 to 2029Enrolled120ConditionsGlioblastoma, Glioblastoma Multiforme, GliosarcomaArmsSpecimen Collection
3 · Its place in the literature

Who cites it

172 citing papers in PubMed, 1 synthesis or guideline pooled it, 286 citations in OpenAlex.

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112 more citing papers are in PubMed but not listed here.

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 at 7 institutions in 3 countries.

Jin-Ku LeeInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0263-3234
Jiguang WangDepartment of Systems Biology, Columbia University, New York, New York, USA.
Jason K SaInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Erik LadewigDepartment of Systems Biology, Columbia University, New York, New York, USA.
Hae-Ock LeeSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
In-Hee LeeInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyun Ju KangInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Daniel S RosenbloomDepartment of Systems Biology, Columbia University, New York, New York, USA.ORCID http://orcid.org/0000-0003-1413-3907
Pablo G CamaraDepartment of Systems Biology, Columbia University, New York, New York, USA.
Zhaoqi LiuDepartment of Systems Biology, Columbia University, New York, New York, USA.
Patrick van NieuwenhuizenDepartment of Systems Biology, Columbia University, New York, New York, USA.
Sang Won JungInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-3073-4411
Seung Won ChoiInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Junhyung KimInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Andrew ChenDepartment of Systems Biology, Columbia University, New York, New York, USA.
Kyu-Tae KimSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang ShinInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yun Jee SeoInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jin-Mi OhInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yong Jae ShinInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chul-Kee ParkDepartment of Neurosurgery, College of Medicine, Seoul National University and Seoul National University Hospital, Seoul, Republic of Korea.
Doo-Sik KongDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ho Jun SeolDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Andrew BlumbergDepartment of Mathematics, University of Texas, Austin, Texas, USA.
Jung-Il LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Antonio IavaroneInstitute for Cancer Genetics, Columbia University, New York, New York, USA.
Woong-Yang ParkDepartment of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4234-0380
Raul RabadanDepartment of Systems Biology, Columbia University, New York, New York, USA.
Do-Hyun NamInstitute for Refractory Cancer Research, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Samsung Medical Center · KRColumbia University · USSamsung (South Korea) · KRCancer Genetics (United States) · USHong Kong University of Science and Technology · HKSeoul National University Hospital · KRThe University of Texas at Austin · US

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007367 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI REINER, STEVEN L · 1985 to 2021
$25.1M
Topology of Cancer Evolution and HeterogeneityU54CA193313 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2015 to 2020
$10.4M
TRAINING IN CELLULAR, MOLECULAR AND BIOPHYSICAL STUDIEST32GM008224 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIEM, RONALD K. · 1987 to 2021
$9.9M
CELL, MOLECULAR AND DEVELOPMENTAL BIOLOGY OF CANCERT32CA009503 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GAUTIER, JEAN · 1985 to 2016
$6.8M
Identification and modeling of driver genetic modules in glioblastomaR01CA179044 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2014 to 2018
$2.3M
(PQB5) Reconstruction of Evolutionary Networks using Cross-Sectional Genomic DataR01CA185486 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LASORELLA, ANNA, RABADAN, RAUL · 2014 to 2017
$2.1M
Evolutionary Heterogeneity of High Grade GliomaF99CA212478 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LADEWIG, ERIK · 2016 to 2017
$83k
NCATS NIH HHS UL1 TR000040NCI NIH HHS F99 CA212478NCI NIH HHS R01 CA179044NCI NIH HHS R01 CA185486NCI NIH HHS T32 CA009503NCI NIH HHS U54 CA193313NIGMS NIH HHS T32 GM007367NIGMS NIH HHS T32 GM008224
6 · The paper itself

Abstract

Precision medicine in cancer proposes that genomic characterization of tumors can inform personalized targeted therapies. However, this proposition is complicated by spatial and temporal heterogeneity. Here we study genomic and expression profiles across 127 multisector or longitudinal specimens from 52 individuals with glioblastoma (GBM). Using bulk and single-cell data, we find that samples from the same tumor mass share genomic and expression signatures, whereas geographically separated, multifocal tumors and/or long-term recurrent tumors are seeded from different clones. Chemical screening of patient-derived glioma cells (PDCs) shows that therapeutic response is associated with genetic similarity, and multifocal tumors that are enriched with PIK3CA mutations have a heterogeneous drug-response pattern. We show that targeting truncal events is more efficacious than targeting private events in reducing the tumor burden. In summary, this work demonstrates that evolutionary inference from integrated genomic analysis in multisector biopsies can inform targeted therapeutic interventions for patients with GBM.

Indexed as

Brain NeoplasmsGenomicsGlioblastomaHumansMutationNeoplasm Recurrence, LocalPhosphatidylinositol 3-KinasesPrecision MedicinePhosphatidylinositol 3-Kinases

Identifiers

PMID28263318
PMCPMC5627771
OpenAlexW2593219267

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Registered trials

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.