RAD18 may function as a predictor of response to preoperative concurrent chemoradiotherapy in patients with locally advanced rectal cancer through caspase-9-caspase-3-dependent apoptotic pathway.
Xueqi YanJie ChenYou MengChao HeShitao ZouPeng LiMing ChenJinchang WuWei-Qun DingJundong ZhouPublished in: Cancer medicine (2019)
Neoadjuvant chemoradiotherapy (nCRT) has been widely applied to improve the local control rate and survival rate in patients with locally advanced rectal cancer (LARC), yet only part of LARC patients would benefit from nCRT. Therefore, it is imperative to predict the therapeutic outcome of nCRT. Here, we showed that RAD18, an E3 ubiquitin-linked enzyme, played a fundamental role in predicting the response of LARC patients to nCRT. According to clinical data, patients with low RAD18 expression level in their pre-nCRT biopsies had a superior response to nCRT compared to those with high RAD18 expression. Inhibition of RAD18 expression in rectal cancer cells pronouncedly attenuated the proliferation and promoted apoptosis after exposing to irradiation or/and 5-fluorouracil (5-Fu). Downregulated RAD18 levels increased cell apoptosis by activating caspase-9-caspase-3-mediated apoptotic pathway, thus resulting in the enhancement of cell radiosensitivity and 5-Fu susceptibility. Furthermore, a xenograft nude mouse model showed that silencing RAD18 significantly slowed tumor growth after irradiation or/and 5-Fu in vivo. Collectively, these results implied that RAD18 could be a new biomarker to predict LARC patients who might benefit from nCRT and provide new strategies for clinical treatment of LARC.
Keyphrases
- rectal cancer
- locally advanced
- dna damage
- dna repair
- cell death
- neoadjuvant chemotherapy
- phase ii study
- squamous cell carcinoma
- poor prognosis
- ejection fraction
- radiation therapy
- end stage renal disease
- induced apoptosis
- signaling pathway
- oxidative stress
- newly diagnosed
- mouse model
- cell proliferation
- clinical trial
- cell cycle arrest
- endoplasmic reticulum stress
- electronic health record
- small molecule
- prognostic factors
- mesenchymal stem cells
- long non coding rna
- big data
- patients undergoing
- stem cells
- lymph node
- binding protein
- cell therapy
- bone marrow
- artificial intelligence
- free survival
- patient reported