Baicalein Enhances Radiosensitivity in Colorectal Cancer via JAK2/STAT3 Pathway Inhibition.
Qingqing YuRongjun TangWeixing MoLinfang ZhaoLingdi LiPublished in: Chemical biology & drug design (2024)
Radiation resistance is a crucial factor influencing therapeutic outcomes in colorectal cancer (CRC). Baicalein (BE), primarily derived from Scutellaria baicalensis, has demonstrated anti-CRC properties. However, the impact of BE on the radiosensitivity of CRC remains unclear. This study aimed to evaluate the radiosensitization effects of BE and elucidate its mechanism in CRC radiotherapy. We established an in vitro radioresistant cell model (CT26-R) using parental CRC cells (CT26) subjected to ionizing radiation (IR). CT26-R cells were pretreated with or without BE, followed by transfection with pcDNA-NC and pcDNA-JAK2. The proliferation of CT26-R cells treated with BE and IR was assessed using a colony formation assay. A CRC animal model was developed in BALB/c mice via CT26-R cell transplantation. The radiosensitizing effect of BE on CRC was evaluated in vivo. TUNEL assay was conducted to detect apoptosis in tumor tissue. The expression levels of p-STAT3, JAK2, PD-L1, and SOCS3 in vitro and in vivo were measured by western blotting. Our results demonstrated that BE significantly increased radiosensitivity in vitro and in vivo and enhanced apoptosis in tumor tissues. Additionally, BE significantly downregulated the expression of p-STAT3, JAK2, and PD-L1, and significantly upregulated SOCS3 expression. These in vivo effects were reversed by pcDNA-JAK2. In summary, our data suggest that BE enhances CRC radiosensitivity by inhibiting the JAK2/STAT3 pathway.
Keyphrases
- cell cycle arrest
- induced apoptosis
- image quality
- dual energy
- computed tomography
- contrast enhanced
- cell death
- poor prognosis
- endoplasmic reticulum stress
- signaling pathway
- pi k akt
- oxidative stress
- single cell
- cell therapy
- magnetic resonance imaging
- cell proliferation
- early stage
- squamous cell carcinoma
- high throughput
- magnetic resonance
- radiation therapy
- machine learning
- long non coding rna
- artificial intelligence
- weight loss