2018
DOI: 10.15419/bmrat.v5i7.461
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of P21Cip1 and P27Kip1 expression in de novo acute lymphoblastic leukemia patients

Abstract: Background: Acute lymphoblastic leukemia (ALL) arises from an imbalanced proliferation and differentiation of lymphoid progenitors due to special chromosomal and epigenetic abnormalities affecting cell cycle regulation. The cyclin-dependent kinase inhibitor (CDKI) family has crucial functions in G1 progression and G1 to S entry regulation. Among CDKIs, P21 and P27 are able to exert remarkable effects on all CDKs. Hence, we investigated the expression levels of P21 and P27 in ALL patients to determine whether o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 29 publications
0
1
0
Order By: Relevance
“…However, these items cannot be solely regarded as prognostic factors, as the recurrence rate of the disease is about 20% in children [4]. Understanding the mechanisms underlying the disease pathogenesis would shed light on therapeutic strategies adapted for patients with ALL [5]. Determination of transcriptional alterations and characterizations in individuals afflicted with ALL could help physicians to gain an insight into the risk stratification and selection of the best drug with proper doses [4].…”
Section: Introductionmentioning
confidence: 99%
“…However, these items cannot be solely regarded as prognostic factors, as the recurrence rate of the disease is about 20% in children [4]. Understanding the mechanisms underlying the disease pathogenesis would shed light on therapeutic strategies adapted for patients with ALL [5]. Determination of transcriptional alterations and characterizations in individuals afflicted with ALL could help physicians to gain an insight into the risk stratification and selection of the best drug with proper doses [4].…”
Section: Introductionmentioning
confidence: 99%