Evidence map›Paper›PMID 33027286›Full record

ArticlePloS one2020

Analysis of mutational and proteomic heterogeneity of gastric cancer suggests an effective pipeline to monitor post-treatment tumor burden using circulating tumor DNA.

Noriyuki Sasaki, Takeshi Iwaya, Takehiro Chiba, Masashi Fujita, Zhenlin Ju, Fumitaka Endo, Mizunori Yaegashi, Tsuyoshi Hachiya, Ryo Sugimoto, Tamotsu Sugai and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.2field-weighted citation impact, top 56% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Impact of Sensitive Circulating Tumor DNA Monitoring on CT Scan Intervals During Postoperative Colorectal Cancer Surveillance.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  5. Article
  6. The residential healthcare for the elderly in Italy: some considerations for post-COVID-19 policies.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
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

16 authors at 4 institutions in 2 countries.

Noriyuki SasakiDepartment of Surgery, Iwate Medical University School of Medicine, Yahaba, Japan.ORCID 0000-0001-8447-8535
Takeshi IwayaDepartment of Surgery, Iwate Medical University School of Medicine, Yahaba, Japan.
Takehiro ChibaDepartment of Surgery, Iwate Medical University School of Medicine, Yahaba, Japan.
Masashi FujitaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Science, Yokohama, Japan.
Zhenlin JuDepartment of Bioinformatics and Computational Biology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0001-7496-7909
Fumitaka EndoDepartment of Surgery, Iwate Medical University School of Medicine, Yahaba, Japan.
Mizunori YaegashiDepartment of Surgery, Iwate Medical University School of Medicine, Yahaba, Japan.
Tsuyoshi HachiyaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan.
Ryo SugimotoDepartment of Molecular Diagnostic Pathology, Iwate Medical University School of Medicine, Yahaba, Japan.
Tamotsu SugaiDepartment of Molecular Diagnostic Pathology, Iwate Medical University School of Medicine, Yahaba, Japan.
Doris R SiwakDepartment of Genomic Medicine, The University of Texas, MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0002-5064-0570
Lance A LiottaCenter for Applied Proteomics and Molecular Medicine, George Mason University, Fairfax, Virginia, United States of America.
Yiling LuDepartment of Genomic Medicine, The University of Texas, MD Anderson Cancer Center, Houston, Texas, United States of America.
Gordon B MillsDepartment of Genomic Medicine, The University of Texas, MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0002-0144-9614
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Science, Yokohama, Japan.
Satoshi S NishizukaDivision of Biomedical Research and Development, Iwate Medical University Institute of Biomedical Sciences, Yahaba, Japan.ORCID 0000-0001-9178-790X
Iwate Medical University · JPThe University of Texas MD Anderson Cancer Center · USRIKEN Center for Integrative Medical Sciences · JPGeorge Mason University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
Tissue Lysate Arrays for Molecular Screening (RMI)R03NS050840 · NINDS · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI LU, YILING · 2004 to 2004
$76k
NCI NIH HHS P30 CA016672NCI NIH HHS R50 CA221675NINDS NIH HHS R03 NS050840
6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) is released from tumor cells into blood in advanced cancer patients. Although gene mutations in individual tumors can be diverse and heterogenous, ctDNA has the potential to provide comprehensive biomarker information. Here, we performed multi-region sampling (three sites) per resected specimen from 10 gastric cancer patients followed by targeted sequencing and proteomic profiling using reverse-phase protein arrays. A total of 126 non-synonymous mutations were identified from 30 samples from 10 tumors. Of these, 16 (12.7%) were present in all three regions and were designated as founder mutations. Variant allele frequencies (VAFs) of founder mutations were significantly higher than those of non-founder mutations. Phylogenetic analysis also demonstrated a good concordance between founder and truncal mutations, defined as mutations shared by all simulated clones at the trunk of the tumor phylogenetic tree. These findings led us to prioritize founder mutations for quantitative ctDNA monitoring by digital PCR with individually-designed primer/probe sets. In preoperative plasma, the average ctDNA VAF of founder mutations was significantly higher than that of non-founder mutations (p = 0.039). Proteomic heterogeneity was present across the tumor regions both within and between patients independent of mutational status. Our results suggest that, in practice, mutations having high VAF identified without multi-regional sequencing may be immediately useful for quantitative ctDNA monitoring but do not provide sufficient information to predict the proteomic composition of tumors.

Indexed as

Stomach NeoplasmsTumor BurdenAgedAged, 80 and overBiomarkers, TumorCirculating Tumor DNAFemaleHumansMaleMiddle AgedMutationProteomicsBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID33027286
PMCPMC7540850
OpenAlexW3091928564

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.