Literature DB >> 32208526

In silico analysis of DYNLL1 expression in ovarian cancer chemoresistance.

Caglar Berkel1, Ercan Cacan1.   

Abstract

Ovarian cancer (OC) is the most lethal gynecological cancer and chemoresistance is responsible for the treatment failure and unfavorable clinical outcome in this disease. The deletion of DYNLL1 was reported to result in increased chemoresistance in BRCA1-mutant high-grade serous ovarian carcinoma cells. Considering its role in chemoresistance, a better understanding of DYNLL1 expression is needed to develop novel strategies in the treatment of OC. In the current study, we aimed to investigate the differential expression of DYNLL1 in OC with respect to cell types, chemosensitivity profiles, certain drug treatments, and cancer progression. DYNLL1 levels were analyzed using expression profiling data sets from Gene Expression Omnibus and quantitative reverse-transcription polymerase chain reaction in R. We found that the level of DYNLL1 was higher in OC histotypes compared with normal ovarian cells. DYNLL1 expression is decreased in OC cells of epithelial type; but, it is increased in OC cells of stromal type, compared with matched control cells. Chemoresistant OC cells were shown to have lower DYNLL1 expression than chemosensitive OC cells. Carboplatin and NSC319726 treatments resulted in slightly decreased DYNLL1 expression and DYNLL1 levels were decreased in the course of cancer progression in OC epithelial cells. The results suggest that changes in DYNLL1 expression in OC might be cell-type dependent and lower DYNLL1 levels may be associated with increased chemoresistance in OC. Although further studies are needed, certain drugs and cancer progression may lead to lower DYNLL1 levels, possibly resulting in increased chemoresistance. Therefore, it can be stated that DYNLL1 might be an important player in OC progression and chemoresistance.
© 2020 International Federation for Cell Biology.

Entities:  

Keywords:  DYNLL1; carboplatin; carcinogenesis; chemoresistance; cisplatin; ovarian cancer

Year:  2020        PMID: 32208526     DOI: 10.1002/cbin.11352

Source DB:  PubMed          Journal:  Cell Biol Int        ISSN: 1065-6995            Impact factor:   3.612


  3 in total

1.  GAB2 and GAB3 are expressed in a tumor stage-, grade- and histotype-dependent manner and are associated with shorter progression-free survival in ovarian cancer.

Authors:  Caglar Berkel; Ercan Cacan
Journal:  J Cell Commun Signal       Date:  2020-09-04       Impact factor: 5.782

2.  Transcriptomic analysis reveals tumor stage- or grade-dependent expression of miRNAs in serous ovarian cancer.

Authors:  Caglar Berkel; Ercan Cacan
Journal:  Hum Cell       Date:  2021-02-12       Impact factor: 4.174

3.  A Novel miRNA-mRNA Axis Involves in Regulating Transcriptional Disorders in Pancreatic Adenocarcinoma.

Authors:  Xin Shang; Lan-Er Shi; Dina Taule; Zhang-Zhi Zhu
Journal:  Cancer Manag Res       Date:  2021-08-03       Impact factor: 3.989

  3 in total

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