[Comparison of Short-term Outcomes of Lung Segmentectomy by Robotic-assisted and Video-assisted Thoracoscopic Surgery].

Background: Lung segmentectomy is increasingly used to resect lung nodules. Video-assisted thoracic surgery (VATS) is widely chosen to performing lung segmentectomy, while robotic assisted thoracoscopic (RATS) was also one useful and practical method. There article was intended to compared the short-time outcomes of RATS and VATS in lung segmentectomy.

Short-term outcomes of typical versus atypical lung segmentectomy by minimally invasive surgeries.

Background: Segmentectomy is increasingly used to resect lung nodules. Robotic-assisted thoracic surgery (RATS) is considered a safe and practical method for segmentectomy. Few studies have compared robotic surgery and video-assisted thoracic surgery (VATS) for lung segmentectomy.

Learning curve for robot-assisted lobectomy of lung cancer.

Background: Robotic lobectomy is widely used for lung cancer treatment. So far, few studies have been performed to systematically analyze the learning curve. Our purpose is to define the learning curve to provide a training guideline of this technique.

Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets.

The mechanisms underlying the oncogenesis and progression of lung adenocarcinoma (LUAD) are currently unclear. The discovery of competitive endogenous RNA (ceRNA) regulatory networks has provided a new direction for the treatment and prognosis of patients with LUAD. However, the mechanism of action of ceRNA in LUAD remains elusive.

Identification of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas.

Background: Aberrant DNA methylations are significantly associated with esophageal squamous cell carcinoma (ESCC). In this study, we aimed to investigate the DNA methylation-driven genes in ESCC by integrative bioinformatics analysis.

Methods: Data of DNA methylation and transcriptome profiling were downloaded from TCGA database.

Impact of visceral pleural invasion on the association of extent of lymphadenectomy and survival in stage I non-small cell lung cancer.

Visceral pleural invasion (VPI) has been identified as an adverse prognostic factor for non-small cell lung cancer (NSCLC). Accurate nodal staging for NSCLC correlates with improved survival, but it is unclear whether tumors with VPI require a more extensive lymph nodes (LNs) dissection to optimize survival. We aimed to evaluate the impact of VPI status on the optimal extent of LNs dissection in stage I NSCLC, using the Surveillance, Epidemiology, and End Results (SEER) database.

Identification of SPP1 as a promising biomarker to predict clinical outcome of lung adenocarcinoma individuals.

We identified and investigated the prognostic value of secreted phosphoprotein 1 (SPP1) in lung adenocarcinoma (LUAD) patients and evaluate the relationship between the SPP1 expression level and clinical characteristics. First, SPP1 was identified through four LUAD datasets in GEO database and validated by the TCGA database. Then a total of 149 lung adenocarcinoma patients were included, as well as their clinicopathological characteristics collected in the study.

Identification of an eight-gene prognostic signature for lung adenocarcinoma.

Background: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. The main obstacle to early diagnosis or monitoring of patients at high risk of poor survival has been the lack of essential predictive biomarkers.

Methods: RNA-sequencing was performed on LUAD affected tissue and paired adjacent to noncancerous tissue samples and Gene Expression Omnibus dataset GSE19188 and GSE33532 were used to obtain an intersection of differential expressed genes and construct a protein-protein interaction network to get hub genes.

Overexpression of S100A13 protein is associated with tumor angiogenesis and poor survival in patients with early-stage non-small cell lung cancer.

Background: S100A13 plays a key role in tumor growth and metastasis. The purpose of this study was to investigate the prognostic significance of S100A13 expression, microvessel density (MVD), and survival in early stage non-small cell lung cancer (NSCLC).

Methods: In silico analysis was performed to determine the associations between S100A13 and NSCLC.

hsa_circ_0000729, a potential prognostic biomarker in lung adenocarcinoma.

Background: Increasing evidence has demonstrated that circular RNAs (circRNAs) may play an important role in oncogenesis and tumor development; however, their role in lung adenocarcinoma (LUAD) remains unclear. We identified the differentially expressed circRNAs in LUAD and investigated the potential mechanisms for cancer progression.

Methods: We examined differentially expressed circRNAs in LUAD and paired normal tissues using downloaded circRNA microarrays from the Gene Expression Omnibus.

Overexpression of long non-coding RNA KCNQ1OT1 is related to good prognosis via inhibiting cell proliferation in non-small cell lung cancer.

Background: Lung cancer (LC) is the most common malignancy in the world. Many long non-coding RNAs (lncRNAs) have been reported to be associated with LC; however, the function of KCNQ1OT1 in LC requires exploration.

Methods: We conducted in silico analysis with data from The Cancer Genome Atlas to investigate the association between KCNQ1OT1 and LC.

Differential protein-coding gene and long noncoding RNA expression in smoking-related lung squamous cell carcinoma.

Background: Cigarette smoking is one of the greatest preventable risk factors for developing cancer, and most cases of lung squamous cell carcinoma (lung SCC) are associated with smoking. The pathogenesis mechanism of tumor progress is unclear. This study aimed to identify biomarkers in smoking-related lung cancer, including protein-coding gene, long noncoding RNA, and transcription factors.