Evidence map›Paper›PMID 26727500›Full record

Trial reportPloS one2016

Individualized Mutation Detection in Circulating Tumor DNA for Monitoring Colorectal Tumor Burden Using a Cancer-Associated Gene Sequencing Panel.

Kei A Sato, Tsuyoshi Hachiya, Takeshi Iwaya, Kohei Kume, Teppei Matsuo, Keisuke Kawasaki, Yukito Abiko, Risaburo Akasaka, Takayuki Matsumoto, Koki Otsuka and 1 more

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 46 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

11 authors at 1 institution in 1 country.

Kei A SatoMolecular Therapeutics Laboratory, Department of Surgery, Iwate Medical University School of Medicine, Morioka, Japan.
Tsuyoshi HachiyaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan.
Takeshi IwayaDepartment of Surgery, Iwate medical University School of Medicine, Morioka, Japan.
Kohei KumeMolecular Therapeutics Laboratory, Department of Surgery, Iwate Medical University School of Medicine, Morioka, Japan.
Teppei MatsuoDepartment of Surgery, Iwate medical University School of Medicine, Morioka, Japan.
Keisuke KawasakiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Yukito AbikoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Risaburo AkasakaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Takayuki MatsumotoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Koki OtsukaDepartment of Surgery, Iwate medical University School of Medicine, Morioka, Japan.
Satoshi S NishizukaMolecular Therapeutics Laboratory, Department of Surgery, Iwate Medical University School of Medicine, Morioka, Japan.
Iwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor DNA (ctDNA) carries information on tumor burden. However, the mutation spectrum is different among tumors. This study was designed to examine the utility of ctDNA for monitoring tumor burden based on an individual mutation profile. METHODOLOGY: DNA was extracted from a total of 176 samples, including pre- and post-operational plasma, primary tumors, and peripheral blood mononuclear cells (PBMC), from 44 individuals with colorectal tumor who underwent curative resection of colorectal tumors, as well as nine healthy individuals. Using a panel of 50 cancer-associated genes, tumor-unique mutations were identified by comparing the single nucleotide variants (SNVs) from tumors and PBMCs with an Ion PGM sequencer. A group of the tumor-unique mutations from individual tumors were designated as individual marker mutations (MMs) to trace tumor burden by ctDNA using droplet digital PCR (ddPCR). From these experiments, three major objectives were assessed: (a) Tumor-unique mutations; (b) mutation spectrum of a tumor; and (c) changes in allele frequency of the MMs in ctDNA after curative resection of the tumor.

resultsA total of 128 gene point mutations were identified in 27 colorectal tumors. Twenty-six genes were mutated in at least 1 sample, while 14 genes were found to be mutated in only 1 sample, respectively. An average of 2.7 genes were mutated per tumor. Subsequently, 24 MMs were selected from SNVs for tumor burden monitoring. Among the MMs found by ddPCR with > 0.1% variant allele frequency in plasma DNA, 100% (8 out of 8) exhibited a decrease in post-operation ctDNA, whereas none of the 16 MMs found by ddPCR with < 0.1% variant allele frequency in plasma DNA showed a decrease.

conclusionsThis panel of 50 cancer-associated genes appeared to be sufficient to identify individual, tumor-unique, mutated ctDNA markers in cancer patients. The MMs showed the clinical utility in monitoring curatively-treated colorectal tumor burden if the allele frequency of MMs in plasma DNA is above 0.1%.

Indexed as

DNA Mutational AnalysisGenes, NeoplasmPoint MutationPolymorphism, Single NucleotideTumor BurdenAdenocarcinomaAdultAgedAllelesCell Line, TumorColorectal NeoplasmsDNA, NeoplasmDNA PrimersFemaleHumansLeukocytes, MononuclearDNA, NeoplasmDNA Primers

Identifiers

PMID26727500
PMCPMC4699643
OpenAlexW2223419060

What OpenQuestion holds

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LicenceCC BY
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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.