Evidence map›Paper›PMID 29173770›Full record

ArticleLung cancer (Amsterdam, Netherlands)2017

Circulating metabolite profiles to predict overall survival in advanced non-small cell lung cancer patients receiving first-line chemotherapy.

Jie Shen, Yuanqing Ye, David W Chang, Maosheng Huang, John V Heymach, Jack A Roth, Xifeng Wu, Hua Zhao

Open access · greenAbstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Prognostic Implication of Plasma Metabolites in Gastric Cancer.International journal of molecular sciences · 2023
    Article
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  7. Article
  8. Article
  9. Review
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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

8 authors at 1 institution in 1 country.

Jie ShenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
David W ChangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Maosheng HuangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
John V HeymachDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Jack A RothDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. Electronic address: xwu@mdanderson.org.
Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
Epigenetic miRNA, SNP Signatures, and their Functions in Lung Cancer OutcomesR01CA176568 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GU, JIAN, ROTH, JACK · 2014 to 2018
$2.5M
NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA176568
6 · The paper itself

Abstract

objectivesThe prognosis for advanced-stage non-small cell lung cancer (NSCLC) is usually poor. However, survival may be variable and difficult to predict. In the current study, we aimed to identify circulating metabolites as potential predictive biomarkers for overall survival of advanced-stage (III/IV) NSCLC patients treated with first-line platinum-based chemotherapy. MATERIALS AND

methodsUsing two-stage study design, we performed global metabolomic profiling in blood of 220 advanced-stage NSCLC patients, including 110 with poor survival and 110 with good survival. Metabolomic profiling was conducted using Metabolon platform. The association of each metabolite with survival was assessed by Cox proportional hazard regression model with adjustment for covariates. RESULTS AND

conclusionWe found levels of 4 metabolites, caffeine, paraxanthine, stachydrine, and methyl glucopyranoside (alpha+beta), differed significantly between NSCLC patients with poor and good survival in both discovery and validation phases (P<0.05). Interestingly, majority of the identified metabolites are involved in caffeine metabolism, and 2 metabolites are related to coffee intake. In fact, caffeine metabolism pathway was the only significant pathway identified which significantly differed between NSCLC patients with poor and good survival (P=1.48E-07) in the pathway analysis. We also found 4 metabolites whose levels were significantly associated with good survival in both discovery and validation phases. Strong cumulative effects on overall survival were observed for these 4 metabolites. In conclusion, we identified a panel of metabolites including metabolites in caffeine metabolism pathway that may predict survival outcome in advanced-stage NSCLC patients. The identified small metabolites may be useful biomarker candidates to help identify patients who may benefit from platinum-based chemotherapy.

Indexed as

AgedAntineoplastic AgentsBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleHumansLung NeoplasmsMaleMetabolomicsMiddle AgedNeoplasm StagingPlatinumPredictive Value of TestsPrognosisAntineoplastic AgentsBiomarkers, TumorPlatinumCirculating metaboliteMetabolomicsNon-small cell lung cancerPlatinum-based chemotherapySurvival

Identifiers

PMID29173770
PMCPMC5715727
OpenAlexW2766502006

What OpenQuestion holds

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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.