Background: The optimal extent of lymph node resection for early-stage non-small cell lung cancer (NSCLC) remains a topic of debate in the medical community. We aimed to assess the surgical and prognostic outcomes based on the extent of mediastinal lymph node dissection (MLND) for resectable clinical stage IA NSCLC.
Methods: From 2016 to 2018, 1,166 patients with clinical stage IA NSCLC who underwent lobectomy or segmentectomy with complete mediastinal lymph node dissection (C-MLND) or selective mediastinal lymph node dissection (S-MLND) at five hospitals were enrolled.
Background: Controversy still exists in the medical community regarding the performance of limited mediastinal lymphadenectomy (LML) in early-stage lung cancer. The objective of this study was to identify predictors of mediastinal lymph node (mLN) status and analyze its role in guiding surgical strategy.
Methods: A retrospective cohort study was conducted on 2,834 surgical patients with peripheral cT1N0M0 non-small cell lung cancer between 2016 and 2018.
Background: At present, there is a lack of studies in invasive mucinous adenocarcinoma (IMA) that combine clinicopathological and imaging features to stratify risk and select optimal treatment regimen. We aimed to develop and validate a nomogram for predicting recurrence-free survival (RFS) and identifying adjuvant chemotherapy (ACT) beneficiaries for completely resected stage I primary IMA.
Methods: This retrospective study included 750 patients from three hospitals.
Objective: Brain radiotherapy often results in impairment of hypothalamic-pituitary (HT-P) function, which in turn causes secretory dysfunction of related hormones. In this paper, the frequency of metastasis in the HT-P area and its high-risk factors in patients with brain metastasis were retrospectively analyzed, and thus provide experimental evidence for protecting HT-P area during whole brain radiotherapy (WBRT).
Methods: A retrospective analysis was performed on the data of patients with brain metastasis diagnosed by cranial magnetic resonance imaging (MRI) at the First Hospital of Lanzhou University from 2017 to 2020.
Background: Esophageal cancer (EC) is one of the most common malignant tumor types. Surgery is considered the treatment of choice for patients with early- and mid-stage EC. However, because of the traumatic nature of EC surgery and the need for gastrointestinal reconstruction, high rates of postoperative complications such as anastomotic leakage or stenosis, esophageal reflux, and pulmonary infection exist.
View Article and Find Full Text PDFBackground: Artificial intelligence AI) discrimination models using single radioactive variables in recognition algorithms of lung nodules cannot predict lung cancer accurately. Hence, we developed a clinical model that combines AI with blood test variables to predict lung cancer.
Methods: Between 2018 and 2021, 584 individuals (358 patients with lung cancer and 226 individuals with lung nodules other than cancer as control) were enrolled prospectively.
Objectives: Localization of pulmonary nodules is challenging. However, traditional localization methods have high radiation doses and a high risk of complications. We developed a noninvasive 3-dimensional printing navigational template for intraoperative localization.
View Article and Find Full Text PDFKRAS-driven non-small cell lung cancer (NSCLC) patients have no effective targeted treatment. In this study, we aimed to investigate targeting epidermal growth factor receptor () as a therapeutic approach in KRAS-driven lung cancer cells. We show that ablation of significantly suppressed tumor growth in KRAS-dependent cells and induced significantly higher expression of CX chemokine receptor 7 (CXCR7) and activation of MAPK (ERK1/2).
View Article and Find Full Text PDFAim: We investigated the role of GOLPH2 in non-small-cell lung cancer (NSCLC).
Methods: We analyzed the relationship between the expression of GOLPH2 and the clinical pathological characteristics of patients with NSCLC. The function of GOLPH2 in NSCLC cell lines was also explored through overexpression and knockdown studies.