Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback.

EEG neurofeedback using frontal alpha asymmetry (FAA) has been widely used for emotion regulation, but its effectiveness is controversial. Studies indicated that individual differences in neurofeedback training can be traced to neuroanatomical and neurofunctional features. However, they only focused on regional brain structure or function and overlooked possible neural correlates of the brain network. Besides, no neuroimaging predictors for FAA neurofeedback protocol have been reported so far. We designed a single-blind pseudo-controlled FAA neurofeedback experiment and collected multimodal neuroimaging data from healthy participants before training. We assessed the learning performance for evoked EEG modulations during training (L1) and at rest (L2), and investigated performance-related predictors based on a combined analysis of multimodal brain networks and graph-theoretical features. The main findings of this study are described below. First, both real and sham groups could increase their FAA during training, but only the real group showed a significant increase in FAA at rest. Second, the predictors during training blocks and at rests were different: L1 was correlated with the graph-theoretical metrics (clustering coefficient and local efficiency) of the right hemispheric gray matter and functional networks, while L2 was correlated with the graph-theoretical metrics (local and global efficiency) of the whole-brain and left the hemispheric functional network. Therefore, the individual differences in FAA neurofeedback learning could be explained by individual variations in structural/functional architecture, and the correlated graph-theoretical metrics of learning performance indices showed different laterality of hemispheric networks. These results provided insight into the neural correlates of inter-individual differences in neurofeedback learning. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-023-09939-x.

Safety and efficacy of delayed completion lobectomy following wedge resection vs. segmentectomy-a retrospective cohort study.

Background: Data regarding the safety and efficacy of delayed completion lobectomy (CL) following sublobar resections remain scant. We evaluated the technical difficulty and short-term outcomes of CL occurring at least 3 months following the anatomical segmentectomy or wedge resection. Methods: Consecutive non-small cell lung cancer (NSCLC) patients who underwent a second resection within the same lobe at least 3 months after their initial resection from January 2013 to December 2019 at the Shanghai Pulmonary Hospital were retrospectively included. The patients were divided into a segmentectomy group (SG group) and a wedge resection group (WR group) based on their initial resection strategy. Baseline characteristics and short-term outcomes after CL between the two groups were compared. Results: Twenty-five patients undergoing CL were included, nine in the SG group and 16 in the WR group. No deaths occurred within 30 days postoperatively, and the rate of overall postoperative complications was 28.0% (7/25). Statistically significant differences were found in rates of postoperative complications between the two groups (SG: 55.6% vs. WR: 12.5%, P=0.03) and in the use of bronchoplasty or angioplasty during the CL (SG: 33.3% vs. WR: 0.0%, P=0.04). After CL, no significant differences were found in 5-year recurrence-free survival (RFS) (WR: 66.7% vs. SG: 61.0%, P=0.31) or overall survival (OS) (WR: 93.8% vs. SG: 66.7%, P=0.06) between two groups. Conclusions: Delayed CL occurring over 3 months after sublobar resection is a safe and effective procedure, with no deaths occurring within 30 days postoperatively. As compared to a segmentectomy at the time of the index operation, a wedge resection may portend less morbidity, with a decreased risk of needing adjunctive bronchoplasty or angioplasty procedures during CL. After CL, 5-year RFS and OS were comparable between WR and SG groups.

Effect of NLRP3 Inflammasome on Lung Cancer Immune Microenvironment Activation and Its Mechanism.

Objective: The NLRP3 inflammasome plays a dual role in the occurrence and development of tumors, and its role in lung cancer remains unclear. This study aims to investigate the impact of NLRP3 inflammasome activation on the proliferation and migration of lung cancer cells. Methods: Data from the GEPIA, TCGA, and HPA databases were utilized to analyze the expression of NLRP3 in lung adenocarcinoma and its microenvironment. GO/KEGG enrichment analysis and GSEA analysis were employed to annotate the functions of differentially expressed genes related to NLRP3. The impact of NLRP3 inflammasome activation on the proliferation and migration of lung cancer cells was further investigated by CCK-8 assay and scratch assay. The effects of blocking NLRP3 inflammasome activation with IL-1RA and IL-18BP on the proliferation and migration of lung cancer cells were further assessed. Survival analysis was conducted to analyze the impact of NLRP3 expression on the prognosis of patients with lung adenocarcinoma. Results: The expression of NLRP3 in lung cancer was lower than in normal tissues, with notably higher expression observed in macrophages compared to other cells. Patients with higher NLRP3 expression exhibit increased infiltration of M2 macrophages. Activation of the NLRP3 inflammasome using LPS+ATP promotes the proliferation and migration of A549 cells. Simultaneous use of IL-1RA and IL-18BP reverses the promoting effect of NLRP3 inflammasome activation on cell proliferation and migration. Survival analysis results indicate that patients with high NLRP3 expression have a poorer prognosis compared to those with low NLRP3 expression (Hazzard Ratio =1.44; 95% Confidence Interval: 1.21-1.71). Conclusions: The activation of the NLRP3 inflammasome promotes the proliferation and migration of A549 cells through secretion of IL-1ß and IL-18, potentially influencing patient prognosis. Simultaneously blocking IL-1ß and IL-18 can reverse the pro-proliferative and migration-promoting effects.

SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics.

The basic analysis steps of spatial transcriptomics require obtaining gene expression information from both space and cells. The existing tools for these analyses incur performance issues when dealing with large datasets. These issues involve computationally intensive spatial localization, RNA genome alignment, and excessive memory usage in large chip scenarios. These problems affect the applicability and efficiency of the analysis. Here, a high-performance and accurate spatial transcriptomics data analysis workflow, called Stereo-seq Analysis Workflow (SAW), was developed for the Stereo-seq technology developed at BGI. SAW includes mRNA spatial position reconstruction, genome alignment, gene expression matrix generation, and clustering. The workflow outputs files in a universal format for subsequent personalized analysis. The execution time for the entire analysis is ∼148 min with 1 GB reads 1 × 1 cm chip test data, 1.8 times faster than with an unoptimized workflow.

Differentiation-related genes in tumor-associated macrophages as potential prognostic biomarkers in non-small cell lung cancer.

Background: The purpose of this study was to evaluate the role of differentiation-related genes (DRGs) in tumor-associated macrophages (TAMs) in non-small cell lung cancer (NSCLC). Methods: Single cell RNA-seq (scRNA-seq) data from GEO and bulk RNA-seq data from TCGA were analyzed to identify DRGs using trajectory method. Functional gene analysis was carried out by GO/KEGG enrichment analysis. The mRNA and protein expression in human tissue were analyzed by HPA and GEPIA databases. To investigate the prognostic value of these genes, three risk score (RS) models in different pathological types of NSCLC were generated and predicted NSCLC prognosis in datasets from TCGA, UCSC and GEO databases. Results: 1,738 DRGs were identified through trajectory analysis. GO/KEGG analysis showed that these genes were predominantly related to myeloid leukocyte activation and leukocyte migration. 13 DRGs (C1QB, CCL4, CD14, CD84, FGL2, MS4A6A, NLRP3, PLEK, RNASE6, SAMSN1, SPN, TMEM176B, ZEB2) related to prognosis were obtained through univariate Cox analysis and Lasso regression. C1QB, CD84, FGL2, MS4A6A, NLRP3, PLEK, SAMSN1, SPN, and ZEB2 were downregulated in NSCLC compared to non-cancer tissue. The mRNA of 13 genes were significantly expressed in pulmonary macrophages with strong cell specificity. Meanwhile, immunohistochemical staining showed that C1QB, CCL4, SPN, CD14, NLRP3, SAMSN1, MS4A6A, TMEM176B were expressed in different degrees in lung cancer tissues. ZEB2 (HR=1.4, P<0.05) and CD14 (HR=1.6, P<0.05) expression were associated with a worse prognosis in lung squamous cell carcinoma; ZEB2 (HR=0.64, P<0.05), CD84 (HR=0.65, P<0.05), PLEK (HR=0.71, P<0.05) and FGL2 (HR=0.61, P<0.05) expression were associated with a better prognosis in lung adenocarcinoma. Three RS models based on 13 DRGs both showed that the high RS was significantly associated with poor prognosis in different pathological types of NSCLC. Conclusions: This study highlights the prognostic value of DRGs in TAMs in NSCLC patients, providing novel insights for the development of therapeutic and prognostic targets based on TAM functional differences.

Perirenal Perivascular Epithelioid Cell Tumor (PEcoma) with Pulmonary Micro Invasive Adenocarcinoma: A Case Report and Literature Review.

Perivascular epithelioid cell tumor (PEComa) is a rare type of mesenchymal neoplasm, which occurs most commonly in uterus and gastrointestinal tract. PEComa with perirenal manifestation is an extremely rare entity. To the best of our knowledge, only four cases have been reported up to now. In this case, we reported a patient with both a pulmonary mass and a perirenal mass. Two resections were performed successively and postoperative pathology suggested pulmonary micro invasive adenocarcinoma (MIA) and perirenal PEComa. This is the first case of perirenal PEComa with pulmonary MIA. Combining the present case and prior literature, we summarized the crucial role of immunohistochemistry in the diagnosis and consider that complete operation might be conducive to patients with perirenal PEComa that presents a benign phenotype, regardless of complications with other tumors.