The Relationship between IGF Pathway and Acquired Resistance to Tyrosine Kinase Inhibitors in Cancer Therapy.

The tyrosine kinase signaling pathway is an important pathway for cell signal transduction, and is involved in regulating cell proliferation, cell cycle, apoptosis and other essential biological functions. Gene mutations involved in the tyrosine kinase signaling pathway often lead to the development of cancers. Epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor-2 (HER2) are well known receptor tyrosine kinases (RTKs), which belong to the ERBB family and have high mutation frequency in cancers. Tyrosine kinase inhibitors (TKI) targeting EGFR and HER2 have been widely used in the clinical treatment of lung and breast cancers. However, after a period of treatment, patients will inevitably develop resistance to TKI. The insulin-like growth factor (IGF) receptor family, like the ERBB receptor family, belongs to the receptor tyrosine kinase superfamily, which also conducts an important cell signal transduction function. There is an overlap between IGF signaling and EGFR signaling in biological functions and downstream signals. In this review, we summarize the current state of knowledge of how IGF signaling interacts with EGFR signaling can influence cell resistance to EGFR/HER2-TKI. We also summarize the current drugs designed for targeting IGF signaling pathways and their research progress, including clinical trials and preclinical studies. Altogether, we aimed to discuss the future therapeutic strategies and application prospects of IGF signaling pathway targeted therapy.

Identification of serum MiRNAs as candidate biomarkers for non-small cell lung cancer diagnosis.

BACKGROUND: Lung cancer is one of the most common solid tumors worldwide and the leading cause of cancer-associated death. Non-small cell lung cancer (NSCLC) is accounts for approximately 85% of all the lung cancers and lung squamous carcinoma (SCC) and adenocarcinoma (ADC) are the main subtypes of NSCLC. Early diagnose using serum biomarkers could improve the overall survival of patients. In this study, we aimed to identify miRNAs from serum with clinical utility in the diagnosis of NSCLC. METHODS: Ten patients with SCC, ten patients with ADC and five noncancerous individuals were enrolled in the screening cohort. miRNA expression levels in serum were measured by microarray analysis. Candidate miRNAs were validated by real-time quantitative polymerase chain reaction analysis in a validation cohort of 78 NSCLC patients and 44 noncancerous individuals. Receiver operating characteristic curves were used to assess the diagnostic performance of serum miRNAs for NSCLC. Logistic regression was used to evaluate the diagnostic value of the combination of markers. RESULTS: Six candidate miRNAs were differentially expressed between NSCLC patients and noncancerous individuals in the screening set (fold change > 2, p < 0.05). Among them, expression levels of miR-3149 and miR-4769.3p were confirmed to be significantly increased in tumor serum in the validation set. The area under the curve values of miR-3149 and miR-4769.3p in distinguishing NSCLC patients from noncancerous controls were 0.830 and 0.735, respectively. When combined with tumor markers CEA and Cyfra21-1, the joint diagnostic model increased the area under the curve to 0.898. CONCLUSION: Serum miRNAs miR-3149 and miR-4769.3p were up-regulated in NSCLC and may be potential biomarkers for early diagnosis of lung cancer.