GLI1 reduces drug sensitivity by regulating cell cycle through PI3K/AKT/GSK3/CDK pathway in acute myeloid leukemia.
Cheng ZhouJuan DuLiang ZhaoWei LiuTianming ZhaoHui LiangPeng FangKaixuan ZhangHui ZengPublished in: Cell death & disease (2021)
Acute myeloid leukemia (AML) is a hematological malignancy with high incidence and recurrence rates. Gene expression profiling has revealed that transcriptional overexpression of glioma-associated oncogene 1 (GLI1), a vital gene in the Hedgehog (Hh) signaling pathway, occurs in poor-prognosis AML, and high levels of phosphoinositide-3-kinase, regulatory subunit 1 (PIK3R1) and AKT3 predict shorter overall survival in AML patients. In this study, we discovered that GLI1 overexpression promotes cell proliferation and reduces chemotherapy sensitivity in AML cells while knocking down GLI1 has the opposite effect. Moreover, GLI1 promoted cell cycle progression and led to elevated protein levels of cyclins and cyclin-dependent kinases (CDKs) in AML cells. By luciferase assays and co-immunoprecipitation, we demonstrated that the PI3K/AKT pathway is directly activated by GLI1. GLI1 overexpression significantly accelerates tumor growth and upregulated p-AKT, CDK4, and cyclinD3 in vivo. Notably, the GLI1 inhibitor GANT61 and the CDK4/6 inhibitor PD 0332991 had synergistic effects in promoting Ara-c sensitivity in AML cell lines and patient samples. Collectively, our data demonstrate that GLI1 reduces drug sensitivity by regulating cell cycle through the PI3K/AKT/GSK3/CDK pathway, providing a new perspective for involving GLI1 and CDK4/6 inhibitors in relapsed/refractory (RR) patient treatment.
Keyphrases
- cell cycle
- cell proliferation
- pi k akt
- acute myeloid leukemia
- cell cycle arrest
- signaling pathway
- induced apoptosis
- poor prognosis
- allogeneic hematopoietic stem cell transplantation
- genome wide
- long non coding rna
- gene expression
- case report
- newly diagnosed
- acute lymphoblastic leukemia
- copy number
- squamous cell carcinoma
- big data
- machine learning
- risk factors
- epithelial mesenchymal transition
- artificial intelligence
- dna methylation
- small molecule
- tyrosine kinase
- prognostic factors
- oxidative stress
- diffuse large b cell lymphoma