Evidence map›Paper›PMID 27276675›Full record

ArticleOncotarget2016

Polypeptide N-acetylgalactosaminyltransferase-6 expression independently predicts poor overall survival in patients with lung adenocarcinoma after curative resection.

Zhi Li, Sohsuke Yamada, Ying Wu, Ke-Yong Wang, Yun-Peng Liu, Hidetaka Uramoto, Kimitoshi Kohno, Yasuyuki Sasaguri

Abstract read
In one paragraph

Article in Oncotarget, 2016. 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
–field-weighted citation impact
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.

  1. Review
  2. Protein Glycosylation as Biomarkers in Gynecologic Cancers.Diagnostics (Basel, Switzerland) · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Zhi LiDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Sohsuke YamadaDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Ying WuDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Ke-Yong WangBio-Information Research Center, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yun-Peng LiuDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Hidetaka UramotoSecond Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Kimitoshi KohnoThe President Laboratory, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yasuyuki SasaguriDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypeptide N-acetylgalactosaminyltransferases (GalNAc-Ts) are important glycosyltransferases in cancer, but the clinical role of its individual isoforms is unclear. We investigated the clinical significance and survival relevance of one isoform, GalNAc-T6 in lung adenocarcinoma after curative resection.

resultsGalNAc-T6 was identified in 27.8% (55/198) of patients, and statistically indicated advanced TNM stage (P = 0.069). Multivariate analysis showed GalNAc-T6 to be an independent predictor for reduced overall survival of patients (P = 0.027), and the result was confirmed with bootstraping techniques, and on line "Kaplan-Meier Plotter" and "SurvExpress" database analysis, respectively. Moreover, ROC curve demonstrated that GalNAc-T6 expression significantly improved the accuracy of survival prediction.

methodsWith 198 paraffin-embedded tumor samples from lung adenocarcinoma patients, GalNAc-T6 expression was immunohistochemically assessed for the association with clinicopathological parameters. The prognostic significance was evaluated by Cox proportional hazards regression analysis with 1000 bootstraping. "Kaplan-Meier Plotter", "SurvExpress" database analysis, and receiver-operating characteristic (ROC) curve were performed to provide further validation.

conclusionsGalNAc-T6 expression correlated significantly with advanced TNM stage, and independently predicted worse OS for lung adenocarcinoma.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overFemaleHumansImmunohistochemistryLung NeoplasmsMaleMiddle AgedN-AcetylgalactosaminyltransferasesNeoplasm StagingProportional Hazards ModelsN-AcetylgalactosaminyltransferasesUDP-N-acetylgalactosamine polypeptide N-acetylgalactosaminyltransferase 6GalNAc-T6glycosylationlung adenocarcinomaoverall survivalprognosis

Identifiers

PMID27276675
PMCPMC5342355

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.