Literature DB >> 29355114

Synergistic role of Caspase-8 and Caspase-3 expressions: Prognostic and predictive biomarkers in colorectal cancer.

Qiang Yao1,2,1, Weimin Wang1,3,1, Jun Jin1,1, Ke Min1, Jian Yang1, Yubing Zhong4, Chunni Xu1, Jianliang Deng1, Yan Zhou1,3.   

Abstract

BACKGROUND: Expressions of Caspase-8 and Caspase-3 have been identified as important markers in many malignant tumors, but their roles in colorectal cancer (CRC) have not been confirmed. The purpose of this study was to investigate the role of Caspase-8 and Caspase-3 in CRC.
METHODS: We enrolled 470 CRC patients in this study. Archival paraffin-embedded CRC tissue samples were used to construct tissue microarray (TMA), expressions of Caspase-8 and Caspase-3 that were stained by immunohistochemistry. Prognostic and predictive role of Caspase-8 and Caspase-3 expressions, alone or united, were evaluated by univariate and multivariate analysis respectively.
RESULTS: In comparison with adjacent normal tissues, Caspase-8 and Caspase-3 protein levels were upregulated in CRC tissues significantly, furthermore, high expressions of Caspase-8 and Caspase-3 were correlated with decreased overall survival (OS) (p< 0.05), and also with unfavorable clinicopathologic characteristics. Cox regression analysis showed that high Caspase-8 and Caspase-3 expressions were independent negative markers of OS.
CONCLUSION: Caspase-8 and Caspase-3 expressions in tumor tissues are novel candidate prognostic markers for CRC patients. It was the first time to be identified that Caspase-8 and Caspase-3 expressions had synergistic role as efficient prognostic indicators for CRC patients.

Entities:  

Keywords:  Caspase-3; Caspase-8; colorectal cancer (CRC); diagnosis; prognosis

Mesh:

Substances:

Year:  2018        PMID: 29355114     DOI: 10.3233/CBM-170967

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


  4 in total

1.  Overexpression of IRS-4 Correlates with Procaspase 3 Levels in Tumoural Tissue of Patients with Colorectal Cancer.

Authors:  Patricia Sanmartín-Salinas; Luis G Guijarro
Journal:  J Oncol       Date:  2018-10-16       Impact factor: 4.375

2.  Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.

Authors:  Charles C N Wang; Jennifer Jin; Jan-Gowth Chang; Masahiro Hayakawa; Atsushi Kitazawa; Jeffrey J P Tsai; Phillip C-Y Sheu
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-03       Impact factor: 2.796

Review 3.  Molecular Pathogenesis of Colorectal Cancer with an Emphasis on Recent Advances in Biomarkers, as Well as Nanotechnology-Based Diagnostic and Therapeutic Approaches.

Authors:  Fakhria A Al-Joufi; Aseem Setia; Mounir M Salem-Bekhit; Ram Kumar Sahu; Fulwah Y Alqahtani; Retno Widyowati; Fadilah Sfouq Aleanizy
Journal:  Nanomaterials (Basel)       Date:  2022-01-04       Impact factor: 5.076

Review 4.  From Raman to SESORRS: moving deeper into cancer detection and treatment monitoring.

Authors:  Sian Sloan-Dennison; Stacey Laing; Duncan Graham; Karen Faulds
Journal:  Chem Commun (Camb)       Date:  2021-11-23       Impact factor: 6.222

  4 in total

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