sj-docx-1-tam-10.1177_17588359241236450 – Supplemental material for Histological sarcomatoid transformation in a lung adenocarcinoma patient following immune checkpoint blockade

Supplemental material, sj-docx-1-tam-10.1177_17588359241236450 for Histological sarcomatoid transformation in a lung adenocarcinoma patient following immune checkpoint blockade by Xiuju Liang, Yaping Guan, Baocheng Wang, Xiaohong Liu and Jun Wang in Therapeutic Advances in Medical Oncology</p

Image_1_LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research.tif

BackgroundThis study aimed to develop a prognostic model for patients with advanced ductal adenocarcinoma aged ≥50 years.MethodsPatient information was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to screen the model variables. Cases from Nanchang Central Hospital were collected for external validation. The new nomogram and the American Joint Committee on Cancer (AJCC) criteria were evaluated using integrated discrimination improvement (IDI) and net reclassification index (NRI) indicators. Survival curves presented the prognosis of the new classification system and AJCC criteria.ResultsIn total, 17,621 eligible patients were included. Lasso Cox regression selected 4 variables including age, chemotherapy, radiotherapy and AJCC stage. The C-index of the training cohort was 0.721. The C-index value of the validation cohort was 0.729. The AUCs for the training cohorts at 1, 2, and 3 years were 0.749, 0.729, and 0.715, respectively. The calibration curves showed that the predicted and actual probabilities at 1, 2, and 3 years matched. External validation confirmed the model’s outstanding predictive power. Decision curve analysis indicated that the clinical benefit of the nomogram was higher than that of the AJCC staging system. The model evaluation indices preceded the AJCC staging with NRI (1-year: 0.88, 2-year: 0.94, 3-year: 0.72) and IDI (1-year: 0.24, 2-year: 0.23, 3-year: 0.22). The Kaplan–Meier curves implied that the new classification system was more capable of distinguishing between patients at different risks.ConclusionsThis study established a prognostic nomogram and risk classification system for advanced pancreatic cancer in patients aged ≥50 years to provide a practical tool for the clinical management of patients with pancreatic ductal adenocarcinoma.</p

The relationship between the stability safety factor and wall toe width.

The relationship between the stability safety factor and wall toe width.</p

The relationship between the stability safety factor and wall heel width.

The relationship between the stability safety factor and wall heel width.</p

The earth pressure distribution with different wall heel width.

The earth pressure distribution with different wall heel width.</p

The relationship between the stability safety factor and bottom plate thickness.

The relationship between the stability safety factor and bottom plate thickness.</p

An integrated analysis of membrane remodeling during porcine reproductive and respiratory syndrome virus replication and assembly

<div><p>Background</p><p>Recently, three-dimensional (3D) imaging techniques have been used to detect viral invasion and the appearance of specialized structures established in virus-infected cells. These methods have had a positive impact in the field of virology and helped to further our knowledge of how viruses invade cells. Nearly all positive-strand RNA viruses propagate their viral genomes in part through intracellular membranes. Porcine reproductive and respiratory syndrome virus (PRRSV), an Arterivirus, accumulates viral RNA that forms replication complexes (RCs) in infected cells. In this study, using immunofluorescence and electron microscopy (EM), we dissected PRRSV-induced membrane structures in infected cells and determined the correlations between PRRSV particles and vesicles stimulated by PRRSV to understand the structural and dynamic aspects of PRRSV infection.</p><p>Methods</p><p>We identified the appropriate time point by determining the 50% tissue culture infectious dose (TCID50) and using qRT-PCR and Western blotting. The co-localization of viruses and organelles was determined by immunofluorescence and immune-electron microscopy (IEM). The ultrastructure of cells infected by PRRSV was observed using EM and electron tomography (ET).</p><p>Results</p><p>In our study, we found that PRRSV dsRNA was located at the endoplasmic reticulum (ER) and autophagosomes; in addition, the N protein was located at the mitochondria, ER and autophagosomes. Vesicles induced by PRRSV appeared at 16 hours post-infection (h.p.i.) and increased in size with time during the infection period. In addition, our findings demonstrated that the virus vesicles originated from the ER, and these two organelle structures connected with each other to form a reticulovesicular network (RVN) that provided a site for virus replication and assembly.</p><p>Conclusion</p><p>Our results revealed that membrane vesicles induced by PRRSV were derived from the ER. The vesicles may provide a location for PRRSV replication and assembly.</p></div

Classification of slope stability states.

This paper investigates the sliding surface failure characteristics, earth pressure distribution law and stability safety factor of inverted T-type retaining wall by using the finite element limit analysis software OptumG2, the effects of width of wall heel plate, width of wall toe plate, thickness of bottom plate, soil–wall interface friction angle, soil cohesion and soil internal friction angle of filling on the failure characteristics of sliding surface, the earth pressure distribution law and stability safety factor of retaining walls are analyzed, The stability safety factor of the retaining wall showed a gradually increasing trend as the width of wall heel plate and wall toe plate increased; as the bottom plate thickness increases, the stability safety factor of the retaining wall gradually increases; as the soil-wall interface element reduction coefficient rises, that is, the internal friction angle of the soil-wall gradually increases to the soil internal friction angle, the stability safety factor of the retaining wall gradually increases; as the soil cohesion and internal friction angle increase, the stability safety factor of the retaining wall progressively increases. The safety factor of retaining wall increases by 0.45 for every 0.5m increase in the width of the wall heel plate; the safety factor of the retaining wall increases by 0.29 when the width of the wall toe plate increases by 0.5m; for every 0.5m increase in the width of wall plate thickness, the safety factor of the retaining wall is increased by 0.62; for every 0.25 increase in soil-wall interface element reduction coefficient, the safety factor of the retaining wall increases by 0.29; for every increase of 5KPa in soil cohesion, the safety factor of the retaining wall increased by 1.16; for every 5° increases in soil internal friction angle, the safety factor of retaining wall increases by 0.6. The research is significant for studying the failure laws and stability of retaining walls and providing references for retaining wall design.</div

The soil mass final failure state of wall toe width.

(a) b3 = 1m; (b) b3 = 2m; (c) b3 = 3m; (d) b3 = 4m.</p

The soil mass final failure state of wall heel width.

(a) b1 = 1m; (b) b1 = 2m; (c) b1 = 3m; (d) b1 = 4m.</p