Evidence map›Paper›PMID 22733238›Full record

SynthesisThe pharmacogenomics journal2013

Can population differences in chemotherapy outcomes be inferred from differences in pharmacogenetic frequencies?

M Loh, D Chua, Y Yao, R A Soo, K Garrett, N Zeps, C Platell, T Minamoto, K Kawakami, B Iacopetta and 1 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in The pharmacogenomics journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
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  6. Impact ofCancers · 2022
    Article
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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 5 institutions in 3 countries.

M Loh1] Cancer Science Institute of Singapore, Centre for Translational Medicine, NUS Yong Loo Lin School of Medicine, Singapore [2] School of Surgery, University of Western Australia, Perth, Australia.
D Chua
Y Yao
R A Soo
K Garrett
N Zeps
C Platell
T Minamoto
K Kawakami
B Iacopetta
R Soong
National University Cancer Institute, Singapore · SGUniversity of Western Australia · AUKanazawa University · JPSt John of God Hospital · AUNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inter-ethnic differences in drug handling and frequencies of pharmacogenetic variants are increasingly being characterized. In this study, we systematically assessed the feasibility of inferring ethnic trends in chemotherapy outcomes from inter-ethnic differences in pharmacogenetic variant frequencies. Frequencies of 51 variants and chemotherapy outcomes of East Asian and Caucasian colorectal cancer patients on standard chemotherapy regimens were summarized by meta-analyses, and variant frequencies were validated by MassARRAY analysis. Inferences of relative chemotherapy outcomes were made by considering minor allele function and population differences in their frequency. Significant population differences in genotype distributions were observed for 13/23 (60%) and 27/35 (77%) variants in the meta-analyses and validation series, respectively. Across chemotherapy regimens, East Asians had lower rates of grade 3/4 toxicity for diarrhea and stomatitis/mucositis than Caucasians, which was correctly inferred from 13/18 (72%, P=0.018) informative genetic variants. With appropriate variant selection, inferring relative population toxicity rates from population genotype differences may be relevant.

Indexed as

Gene FrequencyAllelesAntineoplastic AgentsAsian PeopleColorectal NeoplasmsGenetic VariationGenotypeHumansPharmacogeneticsTreatment OutcomeWhite PeopleAntineoplastic Agents

Identifiers

PMID22733238
OpenAlexW2054699760

What OpenQuestion holds

Textmetadata
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.