Dataset Information

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma.

ABSTRACT:

Background

Oesophageal squamous cell carcinoma (ESCC) is one of the most malignant cancers worldwide. Treatment of ESCC is in progress through accurate staging and risk assessment of patients. The emergence of potential molecular markers inspired us to construct novel staging systems with better accuracy by incorporating molecular markers.

Methods

We measured H scores of 23 protein markers and analysed eight clinical factors of 77 ESCC patients in a training set, from which we identified an optimal MASAN (MYC, ANO1, SLC52A3, Age and N-stage) signature. We constructed MASAN models using Cox PH models, and created MASAN-staging systems based on k-means clustering and minimum-distance classifier. MASAN was validated in a test set (n = 77) and an independent validation set (n = 150).

Results

MASAN possessed high predictive accuracies and stratified ESCC patients into three prognostic groups that were more accurate than the current pTNM-staging system for both overall survival and disease-free survival. To facilitate clinical utilisation, we also constructed MASAN-SI staging systems based on staining indices (SI) of protein markers, which possessed similar prognostic performance as MASAN.

Conclusion

MASAN provides a good alternative staging system for ESCC prognosis with a high precision using a simple model.

SUBMITTER: Liu W

PROVIDER: S-EPMC5988697 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma.

Liu Wei W He Jian-Zhong JZ Wang Shao-Hong SH Liu De-Kai DK Bai Xue-Feng XF Xu Xiu-E XE Wu Jian-Yi JY Jiang Yong Y Li Chun-Quan CQ Chen Long-Qi LQ Li En-Min EM Xu Li-Yan LY

British journal of cancer 20180516 11

<h4>Background</h4>Oesophageal squamous cell carcinoma (ESCC) is one of the most malignant cancers worldwide. Treatment of ESCC is in progress through accurate staging and risk assessment of patients. The emergence of potential molecular markers inspired us to construct novel staging systems with better accuracy by incorporating molecular markers.<h4>Methods</h4>We measured H scores of 23 protein markers and analysed eight clinical factors of 77 ESCC patients in a training set, from which we ide ...[more]

PMID: 29765149

Similar Datasets

Project description:BackgroundOesophageal squamous cell carcinoma (ESCC) is the predominant subtype of oesophageal carcinoma in China, with the overall 5-year survival rate of <10%. The current tumour-node-metastasis (TNM) staging system has become so complex that it is not easy to use in the life expectancy assessment. We aim to combine clinical variables and biomarkers to develop and validate a relative simple and reliable model, named the FENSAM, for ESCC prognosis.MethodsTo build the FENSAM, we analysed 22 potential prognostic factors from 461 patients, including 9 biomarkers (Ezrin, Fascin, desmocollin 2 (DSC2), pFascin, activating transcription factor 3 (ATF3), connective-tissue growth factor (CTGF), neutrophil gelatinase-associated lipocalin (NGAL), NGAL receptor (NGALR), and cysteine-rich angiogenic protein 61 (CYR61)) and other 13 clinical variables. We selected significant factors associated with survival of ESCC patients, and used them to build our FENSAM model. We then obtained the hazard risk score of the model to classify ESCC patients. In addition, we validated the model in an independent cohort of 290 patients from the same hospital. The predictive performance of the model was assessed by the Area under the Receiver Operating Characteristic Curve (AUC) and Kaplan-Meier survival analysis.ResultsWe found six markers significantly associated with survival of ESCC patients (Ezrin, Fascin, ATF3, surgery extent, N-stage, and M-stage). They were combined to create a novel four-stage FENSAM model for patients' classification. FENSAM possessed a high classification precision similar to the TNM staging system, but with a much simpler model. The efficiency of FENSAM was evaluated by different quantiles of AUC and the results of survival analysis. The validation result demonstrated the potential of the FENSAM model to improve classification accuracy for ESCC patients.ConclusionsFENSAM provides an alternative classifier for ESCC patients with a high classification precision using a simple model.

Project description:ObjectiveIn recent years, the incidence of oesophageal squamous cell carcinoma has been increasing, becoming a major focus of public attention. Despite surgery being the primary treatment method, the long-term prognosis after surgery is also of significant importance. Therefore, this study aims to investigate the impact of dietary behaviour changes on the long-term prognosis of patients with oesophageal squamous cell carcinoma after surgery.MethodsA retrospective cohort study was adopted, involving patients with oesophageal squamous cell carcinoma who underwent surgery at the Department of Thoracic Surgery, Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University from January 1, 2018, to December 31, 2019. Data collected included characteristics of dietary behaviour, complications, postoperative quality of life scores and survival periods. Data were gathered through review of clinical pathological characteristics and patient survey questionnaires.ResultsPatients with oesophageal squamous cell carcinoma who changed their dietary behaviours had a significant reduction in the risk of postoperative complications, higher quality of life scores (mean QoL score NDC: 9.8 vs. DC: 21.1; p < 0.001) and a slightly prolonged overall survival period (univariate hazard ratio: 0.58, 95% CI: 0.40-0.83, p = 0.003). Study findings also indicated age as a significant independent risk factor influencing patient prognosis.ConclusionTo improve postoperative prognosis in patients with oesophageal squamous cell carcinoma, guidance and management of dietary behaviour should be emphasised. Appropriate changes in dietary behaviour are expected to reduce the risk of postoperative complications, improve the quality of life and extend the survival period of patients.Patient or public contributionThe findings of this study have important implications for both patients and the public. By investigating the impact of dietary behaviour changes on the long-term prognosis of patients with oesophageal squamous cell carcinoma after surgery, this study provides valuable insights into potential strategies to improve patient outcomes. For patients, the study emphasises the importance of adopting healthy dietary behaviours after surgery. The results demonstrate that dietary behaviour changes can have a significant impact on the long-term prognosis of postoperative oesophageal squamous cell carcinoma patients. By following a healthy diet, patients may improve their overall quality of life, decrease complications and potentially increase their survival period.

Dataset Information

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma.

Background

Methods

Results

Conclusion

Publications

MASAN: a novel staging system for prognosis of patients with oesophageal squamous cell carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets