Evidence map›Paper›PMID 29950151›Full record

ArticleTechnology in cancer research & treatment2018

High TSTA3 Expression as a Candidate Biomarker for Poor Prognosis of Patients With ESCC.

Jie Yang, Pengzhou Kong, Jian Yang, Zhiwu Jia, Xiaoling Hu, Zianyi Wang, Heyang Cui, Yanghui Bi, Yu Qian, Hongyi Li and 22 more

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
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  7. Observational
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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

32 authors at 3 institutions in 1 country.

Jie Yang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Pengzhou Kong1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Jian Yang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Zhiwu Jia1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Xiaoling Hu1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Zianyi Wang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Heyang Cui1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yanghui Bi1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yu Qian1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Hongyi Li1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Fang Wang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Bin Yang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Ting Yan1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yanchun Ma1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Ling Zhang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Caixia Cheng1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Bin Song1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yaoping Li1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Enwei Xu1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Haiyan Liu1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Wei Gao1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Juan Wang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yiqian Liu1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yuanfang Zhai1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Lu Chang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yi Wang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yingchun Zhang1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Ruyi Shi1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Jing Liu1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Qi Wang3 Department of Gastroenterology, The Second Hospital, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Xiaolong Cheng1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Yongping Cui1 Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Shanxi Medical University · CNShanxi Provincial Cancer Hospital · CNSecond Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma is the sixth most lethal cancer worldwide and the fourth most lethal cancer in China. Tissue-specific transplantation antigen P35B codifies the enzyme GDP-d-mannose-4,6-dehydratase, which participates in the biosynthesis of GDP-l-fucose. GDP-l-fucose is an important substrate involved in the biosynthesis of many glycoproteins. Cancer cells are often accompanied by the changes in glycoprotein structure, which affects the adhesion, invasion, and metastasis of cells. It is not clear whether tissue-specific transplantation antigen P35B has any effect on the development of esophageal squamous cell carcinoma. We used an immunohistochemical method to assess the expression of tissue-specific transplantation antigen P35B in 104 esophageal squamous cell carcinoma samples. The results showed tissue-specific transplantation antigen P35B expression was associated with some clinical features in patients, such as age ( P = .017), clinical stage ( P = .010), and lymph node metastasis ( P = .043). Kaplan-Meier analysis and log-rank test showed that patients with esophageal squamous cell carcinoma having high tissue-specific transplantation antigen P35B expression had a worse prognosis compared to the patients with low expression ( P = .048). Multivariate Cox proportional hazards regression model showed that high expression of tissue-specific transplantation antigen P35B could predict poor prognosis for patients with esophageal squamous cell carcinoma independently. In conclusion, abnormal fucosylation might participate in the progress of esophageal squamous cell carcinoma and tissue-specific transplantation antigen P35B may serve as a novel biomarker for prognosis of patients with esophageal squamous cell carcinoma.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorCarbohydrate EpimerasesEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansKaplan-Meier EstimateKetone OxidoreductasesMaleMiddle AgedPrognosisProportional Hazards ModelsROC CurveBiomarkers, TumorCarbohydrate EpimerasesKetone OxidoreductasesTSTA3 protein, humanbiomarkerESCCglycosylationPrognosisTSTA3

Identifiers

PMID29950151
PMCPMC6048620
OpenAlexW2811242296

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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.