Literature DB >> 29843217

Sulfatase 1 expression in pancreatic cancer and its correlation with clinicopathological features and postoperative prognosis.

Yunxiao Lyu, Yunxiao Cheng, Bin Wang, Liang Chen, Sicong Zhao.   

Abstract

BACKGROUND: Recent studies have shown that Sulfatase 1 (SULF1) plays a crucial role in the genesis, development, and progression of tumors. However, there have been few studies on the role of SULF1 in pancreatic cancer.
OBJECTIVE: The present study examined the differences in SULF1 expression levels between pancreatic cancer and normal tissues, and their correlation with the clinicopathological features and prognosis.
METHODS: A total of 65 pancreatic cancer samples were enrolled in this study. An immunohistochemical assay were used in this study. The relationship between SULF1 expression and clinicopathological features were tested using χ2 test or Fisher's exact test. The Kaplan-Meier method was used to calculate the cumulative survival rates of the patients.
RESULTS: The study showed that the SULF1 expression level was higher in pancreatic cancer tissues than in normal tissues. Analysis of the clinical and pathological data of patients revealed that high SULF1 expression was associated with later T, N, and TNM stages, higher CA19-9 levels, smaller tumor size, and poorer prognosis.
CONCLUSIONS: These findings suggested that SULF1 could be an indicator of the clinicopathological features and prognosis of pancreatic cancer.

Entities:  

Keywords:  Sulfatase 1; metastasis; pancreatic cancer; prognosis

Mesh:

Substances:

Year:  2018        PMID: 29843217     DOI: 10.3233/CBM-181210

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  5 in total

1.  Integrated transcriptomic analysis reveals hub genes involved in diagnosis and prognosis of pancreatic cancer.

Authors:  Yang-Yang Zhou; Li-Ping Chen; Yi Zhang; Sun-Kuan Hu; Zhao-Jun Dong; Ming Wu; Qiu-Xiang Chen; Zhi-Zhi Zhuang; Xiao-Jing Du
Journal:  Mol Med       Date:  2019-11-09       Impact factor: 6.354

2.  Identification and prognostic analysis of biomarkers to predict the progression of pancreatic cancer patients.

Authors:  Wei Li; Tiandong Li; Chenguang Sun; Yimeng Du; Linna Chen; Chunyan Du; Jianxiang Shi; Weijie Wang
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3.  Identification of Candidate Therapeutic Target Genes and Profiling of Tumor-Infiltrating Immune Cells in Pancreatic Cancer via Integrated Transcriptomic Analysis.

Authors:  Wei Ding; Yuxu Wang; Yongbiao Ma; Li Lin; Manjiang Li
Journal:  Dis Markers       Date:  2022-08-23       Impact factor: 3.464

Review 4.  Expression and Role of Heparan Sulfated Proteoglycans in Pancreatic Cancer.

Authors:  Simone Furini; Chiara Falciani
Journal:  Front Oncol       Date:  2021-06-25       Impact factor: 6.244

5.  Biomarker Prioritisation and Power Estimation Using Ensemble Gene Regulatory Network Inference.

Authors:  Furqan Aziz; Animesh Acharjee; John A Williams; Dominic Russ; Laura Bravo-Merodio; Georgios V Gkoutos
Journal:  Int J Mol Sci       Date:  2020-10-23       Impact factor: 5.923

  5 in total

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