Evidence map›Paper›PMID 24363807›Full record

ArticlePloS one2013

TIGAR is correlated with maximal standardized uptake value on FDG-PET and survival in non-small cell lung cancer.

Xiang Zhou, Wenhui Xie, Qian Li, Yifan Zhang, Jie Zhang, Xiaoping Zhao, Jianjun Liu, Gang Huang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
  6. Correlation Between von Hippel-Lindau Gene Expression and Tumor SUVmax and Survival Prognosis in Hepatocellular Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
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  11. Chinese medical journal · 2017
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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 4 institutions in 1 country.

Xiang ZhouDepartment of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wenhui XieDepartment of Nuclear Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Qian LiDepartment of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yifan ZhangDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China.
Jie ZhangDepartment of Pathology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Xiaoping ZhaoDepartment of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jianjun LiuDepartment of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Gang HuangDepartment of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Renji Hospital · CNShanghai Chest Hospital · CNRuijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvaluation of (18)F-FDG uptake value via PET is central to current methods of diagnosis and staging of non-small cell lung cancer (NSCLC) due to its ability to evaluate expression levels of key regulators associated with glucose metabolism in tumor cells. Tp53-induced glycolysis and apoptosis regulator (TIGAR) is an important P53-induced protein that can inhibit glycolysis; however, there have been few clinical studies on its mechanism. Here we have investigated the relationship between TIGAR expression and (18)F-FDG PET in tumors, along with its relationship with the clinical characteristics of NSCLC.

methodsWe analyzed SUVmax in 79 patients with NSCLC through immunohistochemical staining of TIGAR and five other biological markers associated with tumor cell glycolysis, in order to evaluate the correlation between their expression and SUVmax. We also plotted Kaplan-Meier survival curves to assess TIGAR expression with the prognosis and survival of patients with NSCLC.

resultsThe key findings were as follows: SUVmax was negatively correlated with the expression of TIGAR (r = -0.31, p<0.01); TIGAR expression was correlated with tumor size (p = 0.01), histological type (p<0.01), differentiation degree (p<0.01) and lymph node metastasis(p<0.01) in patients with NSCLC; and the survival time of patients whose TIGAR was negatively expressed was significantly shorter than for those whose TIGAR was positively expressed (P = 0.023).

conclusionsThe expression of TIGAR in primary tumors is significantly correlated with SUVmax, and low expression of TIGAR may predict a worse clinical outcome in patients with NSCLC.

Indexed as

Apoptosis Regulatory ProteinsCarcinoma, Non-Small-Cell LungFluorodeoxyglucose F18GlycolysisHumansImmunohistochemistryIntracellular Signaling Peptides and ProteinsKaplan-Meier EstimatePhosphoric Monoester HydrolasesPositron-Emission TomographyApoptosis Regulatory ProteinsFluorodeoxyglucose F18Intracellular Signaling Peptides and ProteinsPhosphoric Monoester HydrolasesTIGAR protein, human

Identifiers

PMID24363807
PMCPMC3868468
OpenAlexW2073018148

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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.