Evidence map›Paper›PMID 28714004›Full record

ArticleMolecular medicine reports2017

Expression and function of transforming growth factor‑β‑activated protein kinase 1 in gastric cancer.

Yue Yang, Yudong Qiu, Mubai Tang, Zhaoshu Wu, Weidong Hu, Chaobo Chen

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 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
0.4field-weighted citation impact, top 40% 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, 16 citations in OpenAlex.

  1. Subtype-Independent Activation of NF-κB Signaling in Breast Cancer.International journal of molecular sciences · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Signaling pathways and therapeutic interventions in gastric cancer.Signal transduction and targeted therapy · 2022
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. [Expressions of TAK1 and TAB1 in esophageal cancer and their correlation with prognosis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018
    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

6 authors at 4 institutions in 1 country.

Yue YangDepartment of Surgery, The Third Affiliated Hospital, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu 210001, P.R. China.
Yudong QiuDepartment of Hepatopancreatobiliary Surgery, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000, P.R. China.
Mubai TangDepartment of Surgery, The Third Affiliated Hospital, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu 210001, P.R. China.
Zhaoshu WuDepartment of Surgery, The Third Affiliated Hospital, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu 210001, P.R. China.
Weidong HuDepartment of General Surgery, Wuxi Xishan People's Hospital, Wuxi, Jiangsu 214011, P.R. China.
Chaobo ChenDepartment of General Surgery, Wuxi Xishan People's Hospital, Wuxi, Jiangsu 214011, P.R. China.
Nanjing Traditional Chinese Medicine Hospital · CNWuxi People's Hospital · CNNanjing Drum Tower Hospital · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the expression and role of transforming growth factor (TGF) ‑β‑activated protein kinase 1 (TAK1) in human gastric cancer. Immunohistochemistry was performed to investigate the expression of TAK1 in surgical specimens of human gastric cancer tissue and adjacent normal tissue. The association between TAK1 and clinicopathologic factors was analyzed and the association between TAK1 expression and the overall survival rates was evaluated using Kaplan‑Meier curves. In addition, the effect of the TAK1 selective inhibitor 5Z‑7‑oxozeaenol (OZ) on the biological characteristics of MGC803 human gastric cancer cells in vitro were investigated. The role of TAK1 in gastric cancer cell proliferation, apoptosis and invasion were determined by cell proliferation assays, flow cytometry analysis and transwell invasion assays, respectively. The findings of the present study demonstrated that the positive expression rate of TAK1 in gastric cancer and adjacent normal tissues was 70.5 and 25.9%, respectively. Furthermore, TAK1 expression was significantly associated with advanced N stage and pathological stage (P<0.05). Survival analysis of 139 patients with gastric cancer indicated a lower overall survival rate of patients in the TAK1‑positive group compared with the TAK1‑negative group (P<0.05). In addition, treatment with the TAK1 selective inhibitor OZ reduced the proliferation and invasion abilities of MGC803 cells and significantly reduced the expression levels of phosphorylated‑TAK1 (Thr187), nuclear p65, cyclin D1, Bcl‑2 apoptosis regulator and matrix metallopeptidase (MMP)9 (P<0.05). OZ treatment significantly increased the expression levels of cytosolic cytochrome c and cleaved caspase 3 and the apoptosis rate in MGC803 cells (P<0.05). In conclusion, these findings suggest that increased TAK1 expression may be involved in the progression of gastric cancer; therefore, TAK1 may be used as a future therapeutic target for gastric cancer treatment.

Indexed as

AdultAgedApoptosisCell Line, TumorCell NucleusCell ProliferationFemaleHumansImmunohistochemistryKaplan-Meier EstimateLactonesMaleMAP Kinase Kinase Kinase 7MAP Kinase Kinase KinasesMiddle AgedNeoplasm Invasiveness7-oxozeanolLactonesMAP Kinase Kinase Kinase 7MAP Kinase Kinase KinasesNF-kappa BResorcinolsZearalenone

Identifiers

PMID28714004
PMCPMC5548047
OpenAlexW2734699308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.