Objective: To investigate the change of expression of methylthioadenosine phosphorylase (MTAP) gene in patients with non-small cell lung cancer and its clinical significance.
Methods: Thirty fresh samples of cancer with adjacent tissues were collected from 15 patients with lung cancer, 12 males and 8 females, aged 53.6 (38 approximately 72), 8 with squamous cell carcinoma and 7 with adenocarcinoma. The expressions of MTAP mRNA and of its protein were analyzed by RT-PCR and Western blotting.
Results: In 11 out of the 15 tumor samples (73.3%) MTAP mRNA was not expressed or expressed only after the additional 5 circulations. However, the MTAP mRNA expression rate was 93.3% (14/15) in the adjacent tissues. The result in the 11 samples with none or low MTAP mRNA expression was confirmed by Western blot analysis. The low expression rates were not significantly different between lung adenocarcinoma and squamous cell carcinoma. But the low expression rate of MTAP in intermediate and poorly differentiated lung cancer was significantly higher than that in well-differentiated cancer.
Conclusion: The low expression or loss of MTAP gene may be relevant closely to the differentiation degree in lung cancer.
There is an urgent necessity to devise efficient tactics to tackle the inevitable development of resistance to osimertinib, which is a third-generation epidermal growth factor receptor (EGFR) inhibitor used in treating EGFR-mutant nonsmall cell lung cancer (NSCLC). This study demonstrates that combining itraconazole with osimertinib synergistically reduces the proliferation and migration, enhances the apoptosis of osimertinib-resistant cells, and effectively inhibits the growth of osimertinib-resistant tumors. Mechanistically, itraconazole combined with osimertinib promotes the proteasomal degradation of sonic hedgehog (SHH), resulting in inactivation of the SHH/Dual-specificity phosphatase 13B (DUSP13B)/p-STAT3 and Hedgehog pathways, suppressing Myc proto-oncogene protein (c-Myc).
Purpose: The clinicopathologic features, mutational status, immunohistochemical markers, and prognosis of Pulmonary sarcomatoid carcinoma (PSC) remain uncertain.
Methods: This study included 81 PSC and 337 lung adenocarcinomas (LUAD). Progression-free survival (PFS), overall survival (OS), and other clinical data were examined.
It is now understood that brain metastases do not occur randomly but have distinct spatial patterns depending on the origin of the cancer. According to the "seed and soil" hypothesis, the final colonization of metastatic cells is the result of their adaptation to the altered environment. To investigate the most favorable microenvironment for brain metastasis, we analyzed neuroimaging data from 177 patients with breast cancer brain metastasis and 548 patients with lung cancer brain metastasis to create a replicable probabilistic map of metastatic locations.
Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehensive access to the thoracic cavity, provides a panoramic endoscopic view, and prevents instrument crowding. While established principles such as the Baseball Diamond Principle (BDP) and Triangle Target Principle (TTP) exist, surgeons mainly rely on experience and patient-specific anatomy for trocar placement, potentially leading to sub-optimal surgical plans that increase operative time and fatigue.
State Key Laboratory of Trauma and Chemical Poisoning, Department of Stem Cell and Regenerative Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Background: To determine the role of N-methyladenosine (mA) modification in the tumor immune microenvironment (TIME), as well as their association with lung adenocarcinoma (LUAD).
Methods: Consensus clustering was performed to identify the subgroups with distinct immune or mA modification patterns using profiles from TCGA. A risk score model was constructed using least absolute shrinkage and selection operator regression and validated in two independent cohorts and LUAD tissue microarrays.
