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

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

Polypeptide 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.

Results

GalNAc-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.

Methods

With 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.

Conclusions

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

Related collections

Most cited references 43

Record: found
Abstract: found
Article: not found

REporting recommendations for tumour MARKer prognostic studies (REMARK)

L M McShane, D Altman, W Sauerbrei … (2005)

Despite years of research and hundreds of reports on tumour markers in oncology, the number of markers that have emerged as clinically useful is pitifully small. Often initially reported studies of a marker show great promise, but subsequent studies on the same or related markers yield inconsistent conclusions or stand in direct contradiction to the promising results. It is imperative that we attempt to understand the reasons that multiple studies of the same marker lead to differing conclusions. A variety of methodological problems have been cited to explain these discrepancies. Unfortunately, many tumour marker studies have not been reported in a rigorous fashion, and published articles often lack sufficient information to allow adequate assessment of the quality of the study or the generalisability of the study results. The development of guidelines for the reporting of tumour marker studies was a major recommendation of the US National Cancer Institute and the European Organisation for Research and Treatment of Cancer (NCI-EORTC) First International Meeting on Cancer Diagnostics in 2000. Similar to the successful CONSORT initiative for randomised trials and the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines suggest helpful presentations of data and important elements to include in discussions. The goal of these guidelines is to encourage transparent and complete reporting so that the relevant information will be available to others to help them to judge the usefulness of the data and understand the context in which the conclusions apply.

0 comments Cited 532 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Survival model predictive accuracy and ROC curves.

Patrick Heagerty, Yingye Zheng (2005)

The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R2, commonly used for continuous response models, or using extensions of sensitivity and specificity, which are commonly used for binary response models. In this article we propose new time-dependent accuracy summaries based on time-specific versions of sensitivity and specificity calculated over risk sets. We connect the accuracy summaries to a previously proposed global concordance measure, which is a variant of Kendall's tau. In addition, we show how standard Cox regression output can be used to obtain estimates of time-dependent sensitivity and specificity, and time-dependent receiver operating characteristic (ROC) curves. Semiparametric estimation methods appropriate for both proportional and nonproportional hazards data are introduced, evaluated in simulations, and illustrated using two familiar survival data sets.

0 comments Cited 469 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Mucins in cancer: protection and control of the cell surface.

Michael A. Hollingsworth, Benjamin Swanson (2004)

0 comments Cited 452 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Journal ID (nlm-ta): Oncotarget

Journal ID (iso-abbrev): Oncotarget

Journal ID (publisher-id): Oncotarget

Journal ID (publisher-id): ImpactJ

Title: Oncotarget

Publisher: Impact Journals LLC

ISSN (Electronic): 1949-2553

Publication date Collection: 23 August 2016

Publication date (Electronic): 3 June 2016

Volume: 7

Issue: 34

Pages: 54463-54473

Affiliations

¹ Department of Medical Oncology, The First Hospital, China Medical University, Shenyang, China

² Department of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

³ Bio-information Research Center, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

⁴ Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

⁵ The President Laboratory, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan

⁶ Laboratory of Pathology, Fukuoka Wajiro Hospital, Fukuoka, Japan

⁷ Division of Thoracic Surgery, Saitama Cancer Center, Saitama, Japan

⁸ Asahi-Matsumoto Hospital, Kitakyushu, Japan

⁹ Institute of Pathology, Medical University of Graz, Graz, Austria

¹⁰ Department of Pathology, Field of Oncology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan

Author notes

Correspondence to: Yun-Peng Liu, cmuliuyunpeng@ 123456hotmail.com

Sohsuke Yamada, sousuke@ 123456med.uoeh-u.ac.jp

Article

Publisher ID: 9810

DOI: 10.18632/oncotarget.9810

PMC ID: 5342355

PubMed ID: 27276675

SO-VID: c8b88513-33e1-4f9a-809c-33f5f9158845

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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

Read this article at

Abstract

Background

Results

Methods

Conclusions

Related collections

Karger: Oncology

Most cited references 43

REporting recommendations for tumour MARKer prognostic studies (REMARK)

Survival model predictive accuracy and ROC curves.

Mucins in cancer: protection and control of the cell surface.

Author and article information

Journal

Affiliations

Author notes

Article

History

Categories

Comments

Comment on this article

Similar content 156

Cited by 14

Most referenced authors 902