Evidence map›Paper›PMID 26640385›Full record

ArticleOncoTargets and therapy2015

High DEPTOR expression correlates with poor prognosis in patients with esophageal squamous cell carcinoma.

Nan-Bo Liu, Jun-Hua Zhang, Yu-Fan Liu, Jun Li, Zhen-Zhong Zhang, Ji-Wei Li, Wen-Yue Liu, Chen Huang, Tao Shen, Cheng-Wei Gu and 3 more

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Oncology letters · 2018
    Article
  4. Article
  5. Deptor: not only a mTOR inhibitor.Journal of experimental & clinical cancer research : CR · 2017
    Review
  6. Article
  7. 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

13 authors at 8 institutions in 1 country.

Nan-Bo LiuDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Jun-Hua ZhangDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yu-Fan LiuDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Jun LiDepartment of Thoracic Surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China.
Zhen-Zhong ZhangDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Ji-Wei LiDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Wen-Yue LiuDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Chen HuangDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China ; Department of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou, People's Republic of China.
Tao ShenDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, People's Republic of China.
Cheng-Wei GuDepartment of Thoracic Surgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China.
Dong-Yun GaoDepartment of Oncology, Dongtai People's Hospital, Dongtai, People's Republic of China.
Xia WuDepartment of Breast Cancer, Affiliated Hospital, Academy of Military Medical Sciences, Beijing, People's Republic of China.
Xu WuDepartment of Thoracic Surgery, Southern Medical University, Guangzhou, People's Republic of China.
Southern Medical University · CNAcademy of Military Medical Sciences · CNThird Affiliated Hospital of Southern Medical University · CNFirst Affiliated Hospital of Xinxiang Medical University · CNFujian Provincial People's Hospital · CNHebei Medical University · CNJiangmen Central Hospital · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe disheveled, Egl-10, and pleckstrin (DEP) domain containing mammalian target of rapamycin (mTOR)-interacting protein (DEPTOR) is a binding protein containing mTOR complex 1 (mTORC1), mTOR complex 2 (mTORC2), and an endogenous mTOR inhibitor. DEPTOR shows abnormal expressions in numerous types of solid tumors. However, how DEP-TOR is expressed in esophageal squamous cell carcinoma (ESCC) remains elusive.

methodsThe expression of DEPTOR in 220 cases of ESCC and non-cancerous adjacent tissues was detected by immunohistochemistry. DEPTOR levels in ESCC and paired normal tissue were quantified using reverse transcription-polymerase chain reaction and Western blot analysis to verify the immunohistochemical results. The relationship between DEPTOR expression and the clinicopathological features of ESCC was analyzed based on the results of immunohistochemistry. Finally, we analyzed the relationship between DEPTOR expression and the prognosis of patients with ESCC.

resultsImmunohistochemical staining showed that the expression rate of DEPTOR in ESCC tissues was significantly increased. DEPTOR mRNA and protein expression was significantly higher in ESCC tissues than in normal adjacent esophageal squamous tissues. High DEPTOR expression was significantly correlated with regional lymph node status in the TNM stage of patients with ESCC. Kaplan-Meier survival curves showed that the rate of overall survival was significantly lower in patients with high DEPTOR expression than in those with low DEPTOR expression. Additionally, high DEPTOR expression was an independent prognostic predictor for ESCC patients.

conclusionHigh DEPTOR expression is an independent prognostic biomarker indicating a worse prognosis for patients with ESCC.

Indexed as

DEPTORESCCprognosis

Identifiers

PMID26640385
PMCPMC4657798
OpenAlexW2178310604

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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.