Literature DB >> 31704840

Level of Melanotransferrin in Tissue and Sera Serves as a Prognostic Marker of Gastric Cancer.

Koichi Sawaki1, Mitsuro Kanda2, Shinichi Umeda1, Takashi Miwa1, Chie Tanaka1, Daisuke Kobayashi1, Masamichi Hayashi1, Suguru Yamada1, Goro Nakayama1, Kenji Omae3, Masahiko Koike1, Yasuhiro Kodera1.   

Abstract

AIM: The aim of the study was to identify novel biomarkers that are vital for improving management of patients with gastric cancer (GC).
MATERIALS AND METHODS: An RNA-sequencing analysis was conducted using gastric tissue from patients with metastatic GC. In vitro cell functions were evaluated by siRNA-mediated knockdown assays. A total of 230 pairs of gastric tissue were subjected to expression analysis of mRNA and protein in situ. The serum levels of the candidate biomarker were determined by ELISA.
RESULTS: MELTF was identified as a candidate biomarker. Inhibition of MELTF expression suppressed the invasion ability of GC cells. Increased tissue MELTF mRNA expression was associated with shorter survival. Furthermore, staining intensity of tissue MELTF protein was linked to recurrence rates. Serum MELTF levels gradually were increased from healthy controls to advanced GC. Patients with high serum MELTF levels had poor prognosis.
CONCLUSION: Both tissue and serum MELTF levels may serve as biomarkers of GC progression. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Gastric cancer; biomarker; melanotransferrin

Mesh:

Substances:

Year:  2019        PMID: 31704840     DOI: 10.21873/anticanres.13820

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  8 in total

1.  Gamma-aminobutyric Acid Type A Receptor Subunit Delta as a Potential Therapeutic Target in Gastric Cancer.

Authors:  Koichi Sawaki; Mitsuro Kanda; Hayato Baba; Yoshikuni Inokawa; Norifumi Hattori; Masamichi Hayashi; Chie Tanaka; Yasuhiro Kodera
Journal:  Ann Surg Oncol       Date:  2022-09-20       Impact factor: 4.339

2.  Identification of a four-gene panel predicting overall survival for lung adenocarcinoma.

Authors:  Chunyu Li; Qizhong Long; Danni Zhang; Jun Li; Xianming Zhang
Journal:  BMC Cancer       Date:  2020-12-07       Impact factor: 4.430

3.  A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining.

Authors:  Jie Liu; Shiqiang Hou; Jinyi Wang; Zhengjun Chai; Xuan Hong; Tian Zhao; Zhengliang Sun; Liandi Bai; Hongyan Gao; Jing Gao; Guohan Chen
Journal:  Oxid Med Cell Longev       Date:  2020-12-19       Impact factor: 6.543

4.  A Lipid Metabolism-Based Seven-Gene Signature Correlates with the Clinical Outcome of Lung Adenocarcinoma.

Authors:  Tianqi Li; Jiquan Chen; Jun Liu; Qingjie Chen; Wei Nie; Mi-Die Xu
Journal:  J Oncol       Date:  2022-02-11       Impact factor: 4.375

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Journal:  Heliyon       Date:  2022-08-11

6.  Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer.

Authors:  Michal Marczyk; Tao Qing; Tess O'Meara; Vesal Yagahoobi; Vasiliki Pelekanou; Yalai Bai; Emily Reisenbichler; Kimberly S Cole; Xiaotong Li; Vignesh Gunasekharan; Eiman Ibrahim; Kristina Fanucci; Wei Wei; David L Rimm; Lajos Pusztai; Kim R M Blenman
Journal:  NPJ Breast Cancer       Date:  2022-07-22

7.  Correlation of Tryptophan Metabolic Pathway with Immune Activation and Chemosensitivity in Patients with Lung Adenocarcinoma.

Authors:  Zheng Wang; Danni Liu; Rongjie Yang
Journal:  J Oncol       Date:  2022-09-21       Impact factor: 4.501

8.  Systematic profiling of invasion-related gene signature predicts prognostic features of lung adenocarcinoma.

Authors:  Ping Yu; Linlin Tong; Yujia Song; Hui Qu; Ying Chen
Journal:  J Cell Mol Med       Date:  2021-05-31       Impact factor: 5.310

  8 in total

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