IGF2BP3 Triggers STAT3 Pathway by Stabilizing SRC RNA in an m6A-Dependent Manner to Promote Lymphatic Metastasis in LUAD.

Lymph node metastasis significantly affects the NSCLC patients' staging, treatment strategy, and prognosis. Studies have shown that IGF2BP3, an oncofetal protein and an m6A reader, overexpresses and correlates to lymph node metastasis and worse overall survival in histopathological studies including NSCLC, but its mechanism needs further study. This study explored IGF2BP3's function and mechanism in LUAD lymphatic metastasis using public databases, a human LUAD tissue microarray, human LUAD cells, and a lymphatic metastasis model in male BALB/c nude mice.

Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

Background: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL) have been investigated by mimicking the voxel's dose. However, plan optimization using voxel-dose features has not been extensively studied.

Purpose: This study aims to investigate the efficiency of a direct optimization strategy with finite elements (FEs) after DL dose prediction for automatic intensity-modulated radiation therapy (IMRT) treatment planning.

Efficacy and Failure Patterns of Early SBRT to the Primary Tumor in Advanced EGFR-Mutation-Positive Lung Cancer with EFGR-TKI Treatment: A Prospective, Single Arm, Phase II Study.

Early stereotactic body radiation therapy (SBRT) to the primary tumor combined with epidermal growth factor receptor tyrosine kinase inhibitor (EFGR-TKI) treatment may increase progression-free survival (PFS) by delaying resistance in patients with advanced EGFR-mutant non-small cell lung cancer (NSCLC). In this prospective, single arm, phase II study, patients with advanced NSCLC were treated with EGFR-TKI (icotinib 125 mg tid or gefitinib 250 mg qd) for one month followed by SBRT (40-60 Gy/5-8 F/5-10 d) to the primary tumor with concurrent EGFR-TKI until disease progression. The primary endpoint was PFS and the patterns of failure.

Corrigendum: Increased ATG5 Expression Predicts Poor Prognosis and Promotes EMT in Cervical Carcinoma.

[This corrects the article DOI: 10.3389/fcell.2021.

Increased ATG5 Expression Predicts Poor Prognosis and Promotes EMT in Cervical Carcinoma.

Cervical cancer has the second-highest incidence and mortality of female malignancy. The major causes of mortality in patients with cervical cancer are invasion and metastasis. The epithelial-mesenchymal transition (EMT) process plays a major role in the acquisition of metastatic potential and motility.