Evidence map›Paper›PMID 24358147›Full record

ArticlePloS one2013

Impact of NPM, TFF3 and TACC1 on the prognosis of patients with primary gastric cancer.

Aiping Ding, Wenwen Zhao, Xiaoli Shi, Ruyong Yao, Fang Zhou, Lu Yue, Shihai Liu, Wensheng Qiu

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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.0field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. TFF3 and HER2 expression and their correlation with survival in gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  15. Article
  16. Article
  17. 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

8 authors at 2 institutions in 1 country.

Aiping DingDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Wenwen ZhaoDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China ; Qingdao Cancer Hospital, Shibei City, Qingdao, Shandong Province, China.
Xiaoli ShiDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Ruyong YaoCentral Laboratory, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Fang ZhouDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Lu YueDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Shihai LiuCentral Laboratory, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Wensheng QiuDepartment of Oncology, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, People's Republic of China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNPM, TFF3 and TACC1 are molecular markers that play important roles in cell differentiation. Herein, we investigated their prognostic impact in patients with primary gastric cancer (GC) and determined whether they could be used as markers of more aggressive gastric carcinomas by detecting the extent of expression in human gastric carcinoma samples. METHODOLOGY/PRINCIPAL

findingsTumor tissue specimens from 142 GC patients were retrospectively retrieved and immunohistochemically evaluated. Correlations between NPM, TFF3 and TACC1 over-expression and clinicopathologic parameters, and their prognostic values were investigated with χ(2), Kaplan-Meier method, and Cox uni- and multivariate survival models. NPM, TFF3 and TACC1 expression was significantly higher in GC patients with poorly differentiated histologic type than that in patients with well differentiated histologic type. NPM expression was significantly higher in patients with hepatic metastasis or recurrence than that in patients without metastasis. TFF3 expression was significantly higher in patients with positive lymph node metastasis than that in patients with negative lymph node metastasis. Age, lymph node metastasis, and TFF3 and TACC1 over-expression were significantly correlated with low survival (P<0.05, P<0.05, P = 0.005 and P = 0.009, respectively). Multivariate analysis showed that lymph node metastasis and TFF3 and TACC1 over-expression were independent prognostic factors.

conclusionsTFF3 and TACC1 over-expression in epithelial cells of surgically resected GC tissues was an independent predictor of short survival in GC patients. The prognosis was poorer in patients with positive expression of both TFF3 and TACC1 than that in patients with positive expression of TFF3 or TACC1 alone, or with negative expression of TFF3 and TACC1.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorFemaleFetal ProteinsGastric MucosaHumansMaleMicrotubule-Associated ProteinsMiddle AgedNuclear ProteinsNucleophosminPeptidesPrognosisRetrospective StudiesBiomarkers, TumorFetal ProteinsMicrotubule-Associated ProteinsNuclear ProteinsNucleophosminPeptidesTACC1 protein, humanTFF3 protein, humanTrefoil Factor-3

Identifiers

PMID24358147
PMCPMC3864846
OpenAlexW1999564360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.