Evidence map›Paper›PMID 25127363›Full record

ArticlePloS one2014

Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect.

Hiro Takahashi, Kimie Sai, Yoshiro Saito, Nahoko Kaniwa, Yasuhiro Matsumura, Tetsuya Hamaguchi, Yasuhiro Shimada, Atsushi Ohtsu, Takayuki Yoshino, Toshihiko Doi and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Identification of common genetic variants inJournal of biomedical research · 2024
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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

20 authors at 5 institutions in 1 country.

Hiro TakahashiGraduate School of Horticulture, Chiba University, Matsudo, Chiba, Japan; Plant Biology Research Center, Chubu University, Kasugai, Aichi, Japan; Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Kimie SaiDivision of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Yoshiro SaitoDivision of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Nahoko KaniwaDivision of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Yasuhiro MatsumuraDivision of Developmental Therapeutics, Research Center for Innovative Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Tetsuya HamaguchiGastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
Yasuhiro ShimadaGastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
Atsushi OhtsuDepartment of Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Takayuki YoshinoDepartment of Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Toshihiko DoiDepartment of Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Haruhiro OkudaDivision of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Risa IchinoheDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan; Faculty of Horticulture, Chiba University, Matsudo, Chiba, Japan.
Anna TakahashiPlant Biology Research Center, Chubu University, Kasugai, Aichi, Japan.
Ayano DoiDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan; Faculty of Horticulture, Chiba University, Matsudo, Chiba, Japan.
Yoko OdakaDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Misuzu OkuyamaDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Nagahiro SaijoNational Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Jun-ichi SawadaDivision of Functional Biochemistry and Genomics, National Institute of Health Sciences, Tokyo, Japan.
Hiromi SakamotoDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
Teruhiko YoshidaDivision of Genetics, National Cancer Center Research Institute, Tokyo, Japan.
National Cancer Center Hospital East · JPNational Cancer Centre Japan · JPNational Institute of Health Sciences · JPChiba University · JPChubu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for "personalized" health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide polymorphisms (SNPs) and their relationship with drug response variation; however, when using only GWAS, it often happens that no useful SNPs are identified due to multiple testing problems. Therefore, in a previous study, we proposed a combined method consisting of a knowledge-based algorithm, 2 stages of screening, and a permutation test for identifying SNPs. In the present study, we applied this method to a pharmacogenomics study where 109,365 SNPs were genotyped using Illumina Human-1 BeadChip in 168 cancer patients treated with irinotecan chemotherapy. We identified the SNP rs9351963 in potassium voltage-gated channel subfamily KQT member 5 (KCNQ5) as a candidate factor related to incidence of irinotecan-induced diarrhea. The p value for rs9351963 was 3.31×10-5 in Fisher's exact test and 0.0289 in the permutation test (when multiple testing problems were corrected). Additionally, rs9351963 was clearly superior to the clinical parameters and the model involving rs9351963 showed sensitivity of 77.8% and specificity of 57.6% in the evaluation by means of logistic regression. Recent studies showed that KCNQ4 and KCNQ5 genes encode members of the M channel expressed in gastrointestinal smooth muscle and suggested that these genes are associated with irritable bowel syndrome and similar peristalsis diseases. These results suggest that rs9351963 in KCNQ5 is a possible predictive factor of incidence of diarrhea in cancer patients treated with irinotecan chemotherapy and for selecting chemotherapy regimens, such as irinotecan alone or a combination of irinotecan with a KCNQ5 opener. Nonetheless, clinical importance of rs9351963 should be further elucidated.

Indexed as

AdultAlgorithmsAntineoplastic Agents, PhytogenicCamptothecinDiarrheaFemaleGenome, HumanGenome-Wide Association StudyGenomicsHumansIrinotecanKCNQ Potassium ChannelsKnowledge BasesMaleNeoplasmsPolymorphism, Single NucleotideAntineoplastic Agents, PhytogenicCamptothecinIrinotecanKCNQ5 protein, humanKCNQ Potassium Channels

Identifiers

PMID25127363
PMCPMC4134257
OpenAlexW2075051873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.