The expression of lncRNAs CASC2, NEAT1, LINC00299 in breast cancer tissues and their relationship with the XBP1 splicing rate in Iranian patients during 2014-2019: A cross-sectional study.

XBP1 breast neoplasms gene expression long noncoding RNA

Journal

Health science reports
ISSN: 2398-8835
Titre abrégé: Health Sci Rep
Pays: United States
ID NLM: 101728855

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 04 04 2023
revised: 29 07 2023
accepted: 30 08 2023
medline: 14 9 2023
pubmed: 14 9 2023
entrez: 14 9 2023
Statut: epublish

Résumé

Breast cancer is a leading cause of incidence and mortality in women globally. Identifying new molecular markers can aid in cancer diagnosis, targeted therapy, and treatment monitoring. This study aimed to measure the expression of the X-box binding protein 1 (XBP1) gene, an index of the unfolded protein response (UPR), and long noncoding RNAs (lncRNAs), including Nuclear Enriched Abundant Transcript 1 (NEAT1), Cancer Susceptibility Candidate 2 (CASC2), and Long Intergenic Nonprotein Coding RNA 299 (LINC00299), as possible regulators of the UPR pathway. Total RNA was extracted from 40 samples of breast tumor tissues and their respective controls. The expression level of lncRNAs CASC2, NEAT1, and LINC00299 was quantified using reverse transcription-polymerase chain reaction (RT-PCR). The ratio of the spliced form of XBP1 to its unspliced form (XBP1u) was determined by PCR and electrophoresis. The results showed a 2.8-fold increase in the ratio of XBP1s/u in breast cancer tissues compared to adjacent nonmalignant samples ( Based on the association between the expression of lncRNAs CASC2, LINC00299, and NEAT1 and the XBP1s/u ratio, these lncRNAs could be potential regulators of the UPR pathway. Also, CASC2 and NEAT1 genes could be suggested as suitable biomarkers to distinguish cancerous tissue from noncancerous breast tissue due to their significant increase in expression in cancerous samples compared to adjacent noncancerous.

Sections du résumé

Background and Aims UNASSIGNED
Breast cancer is a leading cause of incidence and mortality in women globally. Identifying new molecular markers can aid in cancer diagnosis, targeted therapy, and treatment monitoring. This study aimed to measure the expression of the X-box binding protein 1 (XBP1) gene, an index of the unfolded protein response (UPR), and long noncoding RNAs (lncRNAs), including Nuclear Enriched Abundant Transcript 1 (NEAT1), Cancer Susceptibility Candidate 2 (CASC2), and Long Intergenic Nonprotein Coding RNA 299 (LINC00299), as possible regulators of the UPR pathway.
Methods UNASSIGNED
Total RNA was extracted from 40 samples of breast tumor tissues and their respective controls. The expression level of lncRNAs CASC2, NEAT1, and LINC00299 was quantified using reverse transcription-polymerase chain reaction (RT-PCR). The ratio of the spliced form of XBP1 to its unspliced form (XBP1u) was determined by PCR and electrophoresis.
Results UNASSIGNED
The results showed a 2.8-fold increase in the ratio of XBP1s/u in breast cancer tissues compared to adjacent nonmalignant samples (
Conclusions UNASSIGNED
Based on the association between the expression of lncRNAs CASC2, LINC00299, and NEAT1 and the XBP1s/u ratio, these lncRNAs could be potential regulators of the UPR pathway. Also, CASC2 and NEAT1 genes could be suggested as suitable biomarkers to distinguish cancerous tissue from noncancerous breast tissue due to their significant increase in expression in cancerous samples compared to adjacent noncancerous.

Identifiants

pubmed: 37706018
doi: 10.1002/hsr2.1552
pii: HSR21552
pmc: PMC10495808
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e1552

Informations de copyright

© 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Ghazal Orak (G)

Department of Clinical Biochemistry, School of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.

Hossein Babaahmadi Rezaei (HB)

Department of Clinical Biochemistry, School of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.
Hyperlipidemia Research Center Ahvaz Jundishapur University of Medical Science Ahvaz Iran.

Fereshteh Ameli (F)

Department of Pathology, School of Medicine Tehran University of Medical Science Tehran Iran.

Fatemeh Maghsoodi (F)

Department of Public Health Abadan University of Medical Sciences Abadan Iran.

Maryam Cheraghzade (M)

Department of Clinical Biochemistry, School of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.

Maryam Adelipour (M)

Department of Clinical Biochemistry, School of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.
Cellular and Molecular Research Center, Medical Basic Science Research Institute Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.

Classifications MeSH