Evidence map›Paper›PMID 29179468›Full record

ArticleOncotarget2017

Pharmacometabolomics identifies dodecanamide and leukotriene B4 dimethylamide as a predictor of chemosensitivity for patients with acute myeloid leukemia treated with cytarabine and anthracycline.

Guangguo Tan, Bingbing Zhao, Yanqing Li, Xi Liu, Zhilan Zou, Jun Wan, Ye Yao, Hong Xiong, Yanyu Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.9field-weighted citation impact, top 24% 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, 12 citations in OpenAlex.

  1. Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction.Metabolomics : Official journal of the Metabolomic Society · 2018
    Trial
  2. Article
  3. Review
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  5. Review
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  9. The free amino acid profiles and metabolic biomarkers of predicting the chemotherapeutic response in advanced sarcoma patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    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

9 authors at 2 institutions in 1 country.

Guangguo TanSchool of Pharmacy, Fourth Military Medical University, Xi'an, 710032, China.
Bingbing ZhaoDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Yanqing LiDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Xi LiuDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Zhilan ZouDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Jun WanDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Ye YaoDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Hong XiongDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Yanyu WangDepartment of Hematology, The Central Hospital of Xuhui District, Shanghai, 20031, China.
Shanghai Xuhui Central Hospital · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical responses to standard cytarabine plus anthracycline regimen in acute myeloid leukemia (AML) are heterogeneous and there is an unmet need for biological predictors of response to this regimen. Here, we applied a pharmacometabolomics approach to identify potential biomarkers associated with response to this regimen in AML patients. Based on clinical response the enrolled 82 patients were subdivided into two groups: complete remission(CR) responders (n=42) and non-responders (n=40). Metabolic profiles of pre-treatment serum from patients were analyzed by ultra-high performance liquid chromatography coupled with mass spectrometry and the metabolic differences between the two groups were investigated by multivariate statistical analysis. A metabolite panel containing dodecanamide and leukotriene B4 dimethylamide (LTB4-DMA) had the power capacity to differentiate the two groups of patients, yielding an area under the receiver operating characteristic of 0.945 (85.2% sensitivity and 88.9% specificity) in the training set and 0.944(84.6% sensitivity and 80.0% specificity) in the test set. The patients with high levels of LTB4-DMA and low amounts of dodecanamide had good sensitivity to chemotherapeutic agents. The possible reasons were that dodecanamide was produced by leukemic cells as a lipolytic factor to fuel their growth with a potential role in drug resistance and LTB4-DMA was a potent leukotriene B4 antagonist that could be applicable in the treatment of AML. These preliminary results demonstrates the feasibility of relating chemotherapy responses with pre-treatment metabolic profiles of AML patients, and pharmacometabolomics may be a useful tool to select patients that are more likely to benefit from cytarabine plus anthracycline chemotherapy.

Indexed as

acute myeloid leukemiachemosensitivityliquid chromatography-mass spectrometrymetabolomicspharmacometabolomics

Identifiers

PMID29179468
PMCPMC5687638
OpenAlexW2752528719

What OpenQuestion holds

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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.