Evidence map›Paper›PMID 30670495›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Unstable Genome and Transcriptome Dynamics during Tumor Metastasis Contribute to Therapeutic Heterogeneity in Colorectal Cancers.

Sung-Yup Cho, Jeesoo Chae, Deukchae Na, Wonyoung Kang, Ahra Lee, Seoyeon Min, Jinjoo Kang, Boram Choi, Jieun Lee, Chang Ohk Sung and 5 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 35% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  10. JAK2 regulates paclitaxel resistance in triple negative breast cancers.Journal of molecular medicine (Berlin, Germany) · 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

15 authors at 7 institutions in 4 countries.

Sung-Yup Cho *Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
Jeesoo Chae *Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Deukchae NaEwha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea.
Wonyoung KangDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Ahra LeeDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Seoyeon MinDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Jinjoo KangDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Boram ChoiDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Jieun LeeDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Chang Ohk SungDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeffrey H ChuangThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0002-3298-2358
Charles LeeDepartment of Life Science, Ewha Womans University, Seoul, Korea.
Won-Suk LeeDepartment of Surgery, Gil Medical Center, Gachon University, Incheon, Korea. jongil@snu.ac.kr lws@gilhospital.com hspark27@gist.ac.kr.
Hansoo ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea. jongil@snu.ac.kr lws@gilhospital.com hspark27@gist.ac.kr.
Jong-Il KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea. jongil@snu.ac.kr lws@gilhospital.com hspark27@gist.ac.kr.
Ewha Womans University · KRSeoul National University · KRGachon University Gil Medical Center · KRGwangju Institute of Science and Technology · KRJackson Laboratory · USNew Generation University College · ETUniversity of Ulsan · KR

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Quantitative Computational Methods to Accurately Measure Tumor Heterogeneity in Solid Tumors to Inform Development of Evolution-based Treatment StrategiesR01CA230031 · NCI · JACKSON LABORATORY · PI CHUANG, JEFFREY HSU-MIN · 2018 to 2022
$2.6M
NCI NIH HHS P30 CA034196NCI NIH HHS R01 CA230031
6 · The paper itself

Abstract

purposeGenomic and transcriptomic alterations during metastasis are considered to affect clinical outcome of colorectal cancers, but detailed clinical implications of metastatic alterations are not fully uncovered. We aimed to investigate the effect of metastatic evolution on EXPERIMENTAL

designWe developed and analyzed patient-derived xenograft (PDX) models from 35 patients with colorectal cancer including 5 patients with multiple organ metastases (MOMs). We performed whole-exome, DNA methylation, and RNA sequencing for patient and PDX tumors. With samples from patients with MOMs, we conducted phylogenetic and subclonal analysis and

resultsPhylogenetic analysis using mutation, expression, and DNA methylation data in patients with MOMs showed that mutational alterations were closely connected with transcriptomic and epigenomic changes during the tumor evolution. Subclonal analysis revealed that initial primary tumors with larger number of subclones exhibited more dynamic changes in subclonal architecture according to metastasis, and loco-regional and distant metastases occurred in a parallel or independent fashion. The PDX models from MOMs demonstrated therapeutic heterogeneity for targeted treatment, due to subclonal acquisition of additional mutations or transcriptomic activation of bypass signaling pathway during tumor evolution.

conclusionsThis study demonstrated

Indexed as

Genetic HeterogeneityGenome, HumanMutationTranscriptomeAnimalsAntineoplastic AgentsApoptosisBiomarkers, TumorCell ProliferationColorectal NeoplasmsExome SequencingFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMiceAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID30670495
PMCPMC7875093
OpenAlexW2914609372

What OpenQuestion holds

Textmetadata
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.