Variation of peripheral blood-based biomarkers for response of anti-PD-1 immunotherapy in non-small-cell lung cancer.

PURPOSE: Immune checkpoint inhibitors (ICIs) for non-small-cell lung cancer (NSCLC) are on the rise, but unfortunately, only a small percentage of patients benefit from them in the long term. Thus, it is crucial to identify biomarkers that can forecast the efficacy of immunotherapy. METHODS: We retrospectively studied 224 patients with NSCLC who underwent anti-PD-1 therapy. The role of biomarkers and clinical characteristics were assessed in a prognostic model. RESULTS: Only 14.3% of patients had both programmed death ligand 1 (PD-L1) and tumor mutational burden (TMB) outcomes, highlighting the need to investigate more available biomarkers. Our analysis found a correlation between histological PD-L1 TPS and hematological PD-1 expression. Analysis of hematological biomarkers revealed that elevated expression of CD4/CD8 and LYM% are positively associated with effective immunotherapy, while PD-1+ on T cells, NLR, and MLR have a negative impact. Moreover, high level of ΔCEA%, CYFRA21-1 and LDH may suggest ineffective ICIs. We also observed that disparate immunotherapy drugs didn't significantly impact prognosis. Lastly, by comparing squamous carcinoma and adenocarcinoma cohorts, ΔCEA%, CD3+PD-1+, CD4+PD-1+, and CD4/CD8 are more important in predicting the prognosis of adenocarcinoma patients, while age is more significant for squamous carcinoma patients. CONCLUSION: Our research has yielded encouraging results in identifying a correlation between immunotherapy's response and clinical characteristics, peripheral immune cell subsets, and biochemical and immunological biomarkers. The screened hematological detection panel could be used to forecast an NSCLC patient's response to anti-PD-1 immunotherapy with an accuracy rate of 76.3%, which could help customize suitable therapeutic decision-making.

Perinatal outcomes comparison between neuraxial and general anesthesia in pregnant women with placenta accreta spectrum: a multicenter retrospective study.

PURPOSE: We investigated the impact of anesthesia mode on perinatal outcomes in patients with placenta accreta spectrum (PAS) undergoing cesarean delivery and identified factors associated with adverse perinatal events. METHODS: The multicenter retrospective analysis was conducted in patients with PAS who delivered at three medical centers. Patients were classified according to whether they received general anesthesia (GA) or neuraxial anesthesia (NA). We compared the basic clinical characteristics of patients in the pre-propensity score matching (PSM) and post-PSM cohorts and identified factors associated with a high risk of adverse maternal outcomes. RESULTS: This study included a total of 425 patients, with 307 (72.2%) in the GA group and 118 (27.8%) in the NA group. After PSM, 162 patients were identified for analysis. In the post-matched cohort, the NA group exhibited shorter total operation time (P = 0.030) and postoperative length of hospital stay (P = 0.037). Additionally, the NA group experienced lower intraoperative blood loss (P < 0.001) and received fewer units of transfused packed red blood cells (PRBC) (P < 0.001). Multivariate logistic regression analysis indicated that GA (P < 0.001), emergency cesarean delivery (P = 0.010), vascular lacunae within the placenta (P < 0.001), hypervascularity of uterine-placental margin (P = 0.002), hypervascularity of the cervix (P = 0.014), and balloon placement in the abdominal aorta (P < 0.001) were associated with a high risk of adverse maternal events. CONCLUSION: In comparison to GA, cesarean delivery with NA in PAS patients appears to be associated with reduced intraoperative blood loss, PRBC transfusion, operating duration, and postoperative hospital stay.

Alectinib continuation beyond progression in ALK-positive non-small cell lung cancer with alectinib-refractory.

Background: Alectinib, a next-generation anaplastic lymphoma kinase tyrosine kinase inhibitor (ALK-TKI), has demonstrated noteworthy efficacy in the treatment of non-small cell lung cancer (NSCLC). Unfortunately, 53.3% of untreated patients receiving first-line treatment with alectinib developed resistance to alectinib. However, despite the widespread use of alectinib, studies on the efficacy and safety of continuing alectinib with other necessary therapies after progression of alectinib and possible population of benefit are still limited. Methods: This retrospective cohort study included fifteen patients with ALK-positive NSCLC from nine institutions in China who experienced disease progression after first- or second-line treatment and continued to receive alectinib treatment between 2019 and 2022. This study aimed to evaluate the median progression-free survival (mPFS), objective response rate (ORR), median overall survival (mOS), and adverse events (AEs) of continuing alectinib combined with other therapies after the emergence of drug resistance. Results: Among fifteen patients eligible for this study, all patients started continuing treatment with alectinib after oligoprogression or central nervous system (CNS) progression. The mPFS for the whole cohort receiving continuing alectinib with other necessary therapies was 8 months [95% confidence interval (CI): 4 to not applicable (NA)], with an ORR of 46.7%. The mOS was not reached. During continuing alectinib treatment, only one patient experienced grade 2 elevation of aspartate aminotransferase (AST) and serum glutamic-oxaloacetic transaminase (SGOT). Conclusions: The continuation of alectinib treatment combined with other necessary therapies demonstrates favorable response and safety in patients with ALK-positive NSCLC who experienced oligoprogression or CNS progression following alectinib in first- or second-line therapy. Instead of immediately switching to another ALK-TKI, continuing alectinib combined with other necessary therapies may offer greater survival benefits to the patients.

Progress in the Management of Pregnancy with Paroxysmal Nocturnal Hemoglobinuria: A Review.

Paroxysmal nocturnal hemoglobinuria (PNH) is a rare acquired complement-mediated hemolytic disease characterized by intravascular hemolysis, thrombosis, smooth muscle dystonia, and so on. Thrombosis is the principal cause of death in PNH patients. During the perinatal period, pregnant PNH patients have increased morbidity and mortality with a heightened risk of complications, including significant preterm birth. The management of pregnancy complicated by PNH is difficult. Therefore, early diagnosis, standardized treatment protocols, and improving perinatal outcomes are crucial. However, there is a lack of consensus on treating patients with PNH during pregnancy. This article reviews 32 studies of pregnancy affected by PNH, focusing on the clinical presentation, diagnosis, and treatment strategies of PNH, to provide guidance for obstetricians on how to handle pregnant patients with PNH, and to offer academic support for the management of PNH patients. We found that Eculizumab has become the primary choice for treating PNH, effectively controlling intravascular hemolysis and reducing the frequency of blood transfusions necessary to stabilize the condition, with no severe threat to the safety of the mother and fetus.

Corrigendum: A minimally manipulated preservation and virus inactivation method for amnion/chorion.

[This corrects the article DOI: 10.3389/fbioe.2022.952498.].

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial fungal infections in cancer patients.

BACKGROUND: Patients with malignancy are at a higher risk of developing nosocomial infections. However, limited studies investigated the clinical features and prognostic factors of nosocomial infections due to fungi in cancer patients. Herein, this study aims to investigate the clinical characteristics of in-hospital fungal infections and develop a nomogram to predict the risk of in-hospital death during fungal infection of hospitalized cancer patients. METHODS: This retrospective observational study enrolled cancer patients who experienced in-hospital fungal infections between September 2013 and September 2021. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of in-hospital mortality. Variables demonstrating significant statistical differences in the multivariate analysis were utilized to construct a nomogram for personalized prediction of in-hospital death risk associated with nosocomial fungal infections. The predictive performance of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis. RESULTS: A total of 216 participants were included in the study, of which 57 experienced in-hospital death. C.albicans was identified as the most prevalent fungal species (68.0%). Respiratory infection accounted for the highest proportion of fungal infections (59.0%), followed by intra-abdominal infection (8.8%). The multivariate regression analysis revealed that Eastern Cooperative Oncology Group Performance Status (ECOG-PS) 3-4 (odds ratio [OR] = 6.08, 95% confidence interval [CI]: 2.04-18.12), pulmonary metastases (OR = 2.76, 95%CI: 1.11-6.85), thrombocytopenia (OR = 2.58, 95%CI: 1.21-5.47), hypoalbuminemia (OR = 2.44, 95%CI: 1.22-4.90), and mechanical ventilation (OR = 2.64, 95%CI: 1.03-6.73) were independent risk factors of in-hospital death. A nomogram based on the identified risk factors was developed to predict the individual probability of in-hospital mortality. The nomogram demonstrated satisfactory performance in terms of classification ability (area under the curve [AUC]: 0.759), calibration ability, and net clinical benefit. CONCLUSIONS: Fungi-related nosocomial infections are prevalent among cancer patients and are associated with poor prognosis. The constructed nomogram provides an invaluable tool for oncologists, enabling them to make timely and informed clinical decisions that offer substantial net clinical benefit to patients.

Delayed interval delivery in a quadruplet pregnancy: a case report and literature review.

BACKGROUND: As the rate of multiple pregnancies increases, delayed interval delivery (DID) is increasingly being implemented to improve perinatal outcomes. But there are no international guidelines for DID in multiple pregnancies. We report a case of DID in a quadruplet pregnancy and review the relevant literature to summarize the management of DID in multiple pregnancies. CASE PRESENTATION: A 22-year-old woman, 22 2/7 weeks' gestation, with quadruplets, was admitted to the hospital for a first cervical cerclage due to cervical dilation. Twenty-five days later, it was found that the cervix was dilated again, so after removing the cervical cerclage, the first quadruplet was delivered vaginally (25 6/7 weeks), and a second cervical cerclage was performed. Four days later, due to re-dilation of the cervix, after removal of the cervical cerclage, the second quadruplet was delivered vaginally (26 3/7 weeks), followed by a third cervical cerclage. Six days later, the pregnancy was terminated by cesarean section due to fetal distress, and the third and fourth quadruplets were delivered (27 2/7 weeks). The patient had no postoperative complications, and all four infants were treated in the neonatal intensive care unit and discharged successfully. CONCLUSION: This case emphasizes that comprehensive management of delayed interval delivery can improve perinatal outcomes in multiple pregnancies, including anti-infection, tocolytic therapy, practice to promote fetal lung, and cervical cerclage.

A novel risk classifier for predicting the overall survival of patients with thymic epithelial tumors based on the eighth edition of the TNM staging system: A population-based study.

Objective: Thymic epithelial tumors (TETs) are rare tumors that originated from thymic epithelial cells, with limited studies investigating their prognostic factors. This study aimed to investigate the prognostic factors of TETs and develop a new risk classifier to predict their overall survival (OS). Methods: This retrospective study consisted of 1224 TETs patients registered in the Surveillance, Epidemiology, and End Results (SEER) database, and 75 patients from the First Affiliated Hospital of Xi'an Jiaotong University. The univariate and multivariate Cox regression analyses were adopted to select the best prognostic variables. A nomogram was developed to predict the OS of these patients. The discriminative and calibrated abilities of the nomogram were assessed using the receiver operating characteristics curve (ROC) and calibration curve. Decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI) were adopted to assess its net clinical benefit and reclassification ability. Results: The multivariate analysis revealed that age, sex, histologic type, TNM staging, tumor grade, surgery, radiation, and tumor size were independent prognostic factors of TETs, and a nomogram was developed to predict the OS of these patients based on these variables. The time-dependent ROC curves displayed that the nomogram yielded excellent performance in predicting the 12-, 36- and 60-month OS of these patients. Calibration curves presented satisfying consistencies between the actual and predicted OS. DCA illustrated that the nomogram will bring significant net clinical benefits to these patients compared to the classic TNM staging system. The estimated NRI and IDI showed that the nomogram could significantly increase the predictive ability of 12-, 36- and 60-month OS compared to the classic TNM staging system. Consistent findings were discovered in the internal and external validation cohorts. Conclusion: The constructed nomogram is a reliable risk classifier to achieve personalized survival probability prediction of TETs, and could bring significant net clinical benefits to these patients.

Evaluation of respiratory samples in etiology diagnosis and microbiome characterization by metagenomic sequencing.

BACKGROUND: The application of clinical mNGS for diagnosing respiratory infections improves etiology diagnosis, however at the same time, it brings new challenges as an unbiased sequencing method informing all identified microbiomes in the specimen. METHODS: Strategy evaluation and metagenomic analysis were performed for the mNGS data generated between March 2017 and October 2019. Diagnostic strengths of four specimen types were assessed to pinpoint the more appropriate type for mNGS diagnosis of respiratory infections. Microbiome complexity was revealed between patient cohorts and infection types. A bioinformatic pipeline resembling diagnosis results was built based upon multiple bioinformatic parameters. RESULTS: The positive predictive values (PPVs) for mNGS diagnosing of non-mycobacterium, Nontuberculous Mycobacteria (NTM), and Aspergillus were obviously higher in bronchoalveolar lavage fluid (BALF) demonstrating the potency of BALF in mNGS diagnosis. Lung tissues and sputum were acceptable for diagnosis of the Mycobacterium tuberculosis (MTB) infections. Interestingly, significant taxonomy differences were identified in sufficient BALF specimens, and unique bacteriome and virome compositions were found in the BALF specimens of tumor patients. Our pipeline showed comparative diagnostic strength with the clinical microbiological diagnosis. CONCLUSIONS: To achieve reliable mNGS diagnosis result, BALF specimens for suspicious common infections, and lung tissues and sputum for doubtful MTB infections are recommended to avoid the false results given by the complexed respiratory microbiomes. Our developed bioinformatic pipeline successful helps mNGS data interpretation and reduces manual corrections for etiology diagnosis.

The role of p53-MDM2 signaling in missed abortion and possible pathogenesis.

BACKGROUND: Missed abortion is one of the common obstetrical and gynecological complications, angiogenesis is the most important factor in fetal and placental development. However, the definite etiology and pathogenesis are not fully understood. METHODS: The mRNA levels of p53, MDM2, VEGF, and HIF-lα were detected in 60 villous samples of missed abortion patients and 64 healthy controls by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Immunohistochemistry was used to explore the expression and correlation of p53, MDM2, VEGF, and HIF-lα in villous tissues. Furthermore, we upregulated MDM2 expression in JEG-3 and BeWo cells under hypoxia, combined with Nutlin3, the cell cycle was determined using flow cytometry and the expressions of p53, MDM2, VEGF, and HIF-1α were determined by qRT-PCR and western blot. RESULTS: qRT-PCR demonstrated that the expressions of p53, MDM2, and HIF-1α were significantly increased and VEGF was decreased in missed abortion group compared with normal pregnancies. Correlation analysis found that p53 was positively correlated with MDM2 and HIF-1α, and negatively correlated with VEGF in missed abortion group. After administration of Nutlin3, overexpression of MDM2 could arrest cell cycle in G1 phase and reduce the proportion of S phase. The expression of p53 and MDM2 of JEG-3 cells and BeWo cells which transfected with pcDNA3.1-MDM2 plasmid were markedly increased after Nutlin3 addition under hypoxic conditions, while the expression of VEGF and HIF-1α decreased. CONCLUSION: Our data indicated that during the development of villi in early pregnancy, p53-MDM2 signaling regulate cell cycle and angiogenesis through interaction with HIF-1α and VEGF, which may be a crucial factor affecting pregnancy outcomes.

Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications.

BACKGROUND: Preeclampsia is a pregnancy-related condition that causes high blood pressure and proteinuria after 20 weeks of pregnancy. It is linked to increased maternal mortality, organ malfunction, and foetal development limitation. In this view, there is a need critical to identify biomarkers for the early detection of preeclampsia. The objective of this study is to discover critical genes and explore medications for preeclampsia treatment that may influence these genes. METHODS: Four datasets, including GSE10588, GSE25906, GSE48424 and GSE60438 were retrieved from the Gene Expression Omnibus database. The GSE10588, GSE25906, and GSE48424 datasets were then removed the batch effect using the "sva" R package and merged into a complete dataset. The differentially expressed genes (DEGs) were identified using the "limma" R package. The potential small-molecule agents for the treatment of PE was further screened using the Connective Map (CMAP) drug database based on the DEGs. Further, Weight gene Co-expression network (WGNCA) analysis was performed to identified gene module associated with preeclampsia, hub genes were then identified using the logistic regression analysis. Finally, the immune cell infiltration level of genes was evaluated through the single sample gene set enrichment analysis (ssGSEA). RESULTS: A total of 681 DEGs (376 down-regulated and 305 up-regulated genes) were identified between normal and preeclampsia samples. Then, Dexamethasone, Prednisone, Rimexolone, Piretanide, Trazodone, Buflomedil, Scoulerin, Irinotecan, and Camptothecin drugs were screened based on these DEGs through the CMAP database. Two modules including yellow and brown modules were the most associated with disease through the WGCNA analysis. KEGG analysis revealed that the chemokine signaling pathway, Th1 and Th2 cell differentiation, B cell receptor signalling pathway and oxytocin signalling pathway were significantly enriched in these modules. Moreover, two key genes, PLEK and LEP were evaluated using the univariate and multivariate logistic regression analysis from the hub modules. These two genes were further validated in the external validation cohort GSE60438 and qRT-PCR experiment. Finally, we evaluated the relationship between immune cell and two genes. CONCLUSION: In conclusion, the present study investigated key genes associated with PE pathogenesis that may contribute to identifying potential biomarkers, therapeutic agents and developing personalized treatment for PE.

A minimally manipulated preservation and virus inactivation method for amnion/chorion.

Allogeneic amnion tissues have been widely used in tissue repair and regeneration, especially a remarkable trend of clinical uses in chronic wound repair. The virus inactivation procedures are necessary and required to be verified for the clinical use and approval of biological products. Cobalt-60 (Co-60) or electron-beam (e-beam) is the common procedure for virus and bacterial reduction, but the excessive dose of irradiation was reported to be harmful to biological products. Herein, we present a riboflavin (RB)-ultraviolet light (UV) method for virus inactivation of amnion and chorion tissues. We used the standard in vitro limiting dilution assay to test the viral reduction capacity of the RB-UV method on amnion or chorion tissues loaded with four types of model viruses. We found RB-UV was a very effective procedure for inactivating viruses of amnion and chorion tissues, which could be used as a complementary method to Co-60 irradiation. In addition, we also screened the washing solutions and drying methods for the retention of growth factors.

Risk Factors for Macrosomia in Multipara: A Multi-Center Retrospective Study.

The increased incidence of macrosomia has caused an enormous burden after the transition from the almost 40-year one-child policy to the universal two-child policy in 2015 and further to the three-child policy in 2021 in China. However, studies on risk factors of macrosomia in multipara under the new fertility policy in China are limited. We aim to explore the incidence and risk factors for macrosomia in multipara to provide the scientific basis for preventing macrosomia in multipara. A multi-center retrospective study was conducted among 6200 women who had two consecutive deliveries in the same hospital and their second newborn was delivered from January to October 2018 at one of 18 hospitals in 12 provinces in China. Macrosomia was defined as birth weight ≥ 4000 g. Logistic regression models were performed to analyze risk factors for macrosomia in multipara. The incidence of macrosomia in multipara was 7.6% (470/6200) and the recurrence rate of macrosomia in multipara was 27.2% (121/445). After adjusting for potential confounders, a higher prepregnancy BMI, higher gestational weight gain, history of macrosomia, a longer gestation in the subsequent pregnancy were independent risk factors of macrosomia in multipara (p < 0.05). Healthcare education and preconception consultation should be conducted for multipara patients with a history of macrosomia to promote maintaining optimal prepregnancy BMI and avoid excessive gestational weight gain to prevent macrosomia.

Atrial Cardiomyopathy Predicts Worse Outcome in Patients With Lung Cancer.

Background: Reports of the clinical outcomes associated with the co-occurrence of atrial cardiomyopathy (ACM) and lung cancer (LC) are limited. Objectives: This study aims to investigate the influence of ACM on the prognosis of LC patients and related clinical determinants. Methods: Newly diagnosed LC patients from January 1st, 2015, to December 31st, 2020, were retrospectively enrolled at the First Affiliated Hospital of Xi'an Jiaotong University. The demographics and overall survival (OS) of the patients with or without ACM were compared. The survival rate was analyzed using the Kaplan-Meier method and multivariate Cox regression analysis. Binary logistic regression analysis was used to determine the risk factors for ACM. Results: A total of 306 patients (65.04 ± 10.30 years of age, 72.88% male) were analyzed. The prevalence of ACM in the non-small cell lung cancer (241, 78.76%) and small cell lung cancer (65, 21.24%) population was not statistically different. Overall, 53 (17.32%) LC patients had coexisting ACM. ACM patients were older (69 vs. 64, p = 0.0013) and had higher D-dimer levels (1.0 vs. 0.6, p = 0.001), lower serum calcium levels (2.23 vs. 2.31, p = 0.001), lower left ventricular ejection fraction (LVEF) values (67% vs. 69%, p = 0.036) and had more frequent coronary comorbidity disease (16.98% vs. 8.82%, p = 0.031). The median OS for patients with or without ACM was 15 months and 25 months, respectively (p = 0.018). Coexisting ACM compared to non-ACM was associated with worse OS in patients with LC (HR = 1.543, 95% CI: 1.042-2.283, p = 0.030). Conclusion: Coexisting ACM is associated with undesirable survival outcomes in patients with LC. These findings could help us to better understand the cardiac burden in these patients and provide additional risk stratification for them.

Food Intake and Diet Quality of Pregnant Women in China During the COVID-19 Pandemic: A National Cross-Sectional Study.

Background: Between January and April 2020, China implemented differentiated prevention and control strategies across the country, based on the severity of the COVID-19 epidemic/pandemic in different regions. These strategies included lockdowns, social distancing, and the closure of public places. These measures may have affected dietary intake to varying degrees. This study aimed to assess variations in food intake and diet quality among pregnant women according to regional severity and related control measures during the most severe period of COVID-19 restrictions in 2020. Methods: A total of 3,678 pregnant women from 19 provinces/municipalities in mainland China were analyzed in this nationwide, multi-center study. Food intake data were obtained and assessed using a validated food frequency questionnaire (FFQ). Diet quality was quantified using the Diet Balance Index for Pregnancy (DBI-P), which included high bound score (HBS, excessive dietary intake), low bound score (LBS, insufficient dietary intake), and diet quality distance (DQD, dietary imbalance). Linear trend tests and multivariable regression analyses were performed to examine the association between food intake, DBI-P and the severity of pandemic. Results: The median daily intake of vegetables, fruit, livestock/poultry meat, dairy, and nuts decreased (p < 0.05) according to low, moderate, and high severity of the pandemic, while no significant differences in cereals/potatoes, eggs, and fish/shrimp intake. The median daily intake of cereals/potatoes exceeded the recommended ranges, and the daily intake of eggs and fish/shrimp was below recommended ranges regardless of the pandemic severity (p < 0.05). Regarding diet quality, HBS decreased (lower excessive consumption) (p = 0.047) and LBS increased (greater insufficient consumption) (p = 0.046) with increased severity of the pandemic. On multivariable analyses, moderate and high pandemic severity were related to lower HBS risk (OR = 0.687, OR = 0.537) and higher LBS risk (ß = 1.517, ß = 3.020) when compared to low pandemic severity. Conclusions: Under more severe COVID-19 pandemic conditions, pregnant women consumed less quality food, characterized by reduced consumption of vegetables, fruit, livestock/poultry meat, dairy and nuts, while the quality of the foods that pregnant women consumed in excess tended to improve, but the overconsumption of cereals/potatoes was a problem.

Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma.

Background: Lung adenocarcinoma (LUAD) remains a lethal disease worldwide, with numerous studies exploring its potential prognostic markers using traditional RNA sequencing (RNA-seq) data. However, it cannot detect the exact cellular and molecular changes in tumor cells. This study aimed to construct a prognostic model for LUAD using single-cell RNA-seq (scRNA-seq) and traditional RNA-seq data. Methods: Bulk RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) database. LUAD scRNA-seq data were acquired from Gene Expression Omnibus (GEO) database. The uniform manifold approximation and projection (UMAP) was used for dimensionality reduction and cluster identification. Weighted Gene Correlation Network Analysis (WGCNA) was utilized to identify key modules and differentially expressed genes (DEGs). The non-negative Matrix Factorization (NMF) algorithm was used to identify different subtypes based on DEGs. The Cox regression analysis was used to develop the prognostic model. The characteristics of mutation landscape, immune status, and immune checkpoint inhibitors (ICIs) related genes between different risk groups were also investigated. Results: scRNA-seq data of four samples were integrated to identify 13 clusters and 9cell types. After applying differential analysis, NK cells, bladder epithelial cells, and bronchial epithelial cells were identified as significant cell types. Overall, 329 DEGs were selected for prognostic model construction through differential analysis and WGCNA. Besides, NMF identified two clusters based on DEGs in the TCGA cohort, with distinct prognosis and immune characteristics being observed. We developed a prognostic model based on the expression levels of six DEGs. A higher risk score was significantly correlated with poor survival outcomes but was associated with a more frequent TP53 mutation rate, higher tumor mutation burden (TMB), and up-regulation of PD-L1. Two independent external validation cohorts were also adopted to verify our results, with consistent results observed in them. Conclusion: This study constructed and validated a prognostic model for LUAD by integrating 10× scRNA-seq and bulk RNA-seq data. Besides, we observed two distinct subtypes in this population, with different prognosis and immune characteristics.

Intra-abdominal aortic balloon occlusion in the management of placenta percreta.

BACKGROUND: Massive bleeding is the main concern for the management of placenta percreta (PP). Intra-abdominal aortic balloon occlusion (IABO) is one method for pelvic devascularization, but the efficacy of IABO is uncertain. This study aims to investigate the outcomes of IABO in PP patients. METHODS: We retrospectively reviewed the clinical data of PP cases from six tertiary centers in China between January 2011 and December 2015. PP cases with/without the use of IABO were analyzed. Propensity score matching analysis was performed to reduce the effect of selection bias. Postpartum hemorrhage (PPH) and the rate of hysterectomy, as well as neonatal outcomes, were analyzed. RESULTS: One hundred and thirty-two matched pairs of patients were included in the final analysis. Compared with the control group, maternal outcomes, including PPH (68.9% vs. 87.9%, χ2 = 13.984, P < 0.001), hysterectomy (8.3% vs. 65.2%, χ2 = 91.672, P < 0.001), and repeated surgery (1.5% vs. 12.1%, χ2 = 11.686, P = 0.001) were significantly reduced in the IABO group. For neonatal outcomes, Apgar scores at 1 minute (8.67 ±â€Š1.79 vs. 8.53 ±â€Š1.68, t = -0.638, P = 0.947) and 5 minutes (9.43 ±â€Š1.55 vs. 9.53 ±â€Š1.26, t = 0.566, P = 0.293) were not significantly different between the two groups. CONCLUSIONS: IABO can significantly reduce blood loss, hysterectomies, and repeated surgeries. This procedure has not shown harmful effects on neonatal outcomes.

3D-Printed Flexible Phase-Change Nonwoven Fabrics toward Multifunctional Clothing.

Functional phase-change fabrics hold great promise as wearable clothing. However, how to enable a phase-change fabric with the combined features of excellent structural flexibility and robustness, integrated multifunctionality, superior stability, and durability, as well as facile and scalable manufacturing, still remains a significant challenge. Herein, we demonstrated a scalable and controllable three-dimensional (3D) printing strategy for manufacturing flexible, thin, and robust phase-change nonwoven fabric (PCNF), with abundant and regular breathable pores as well as uniform and tight embedment of highly interconnected single-walled carbon nanotubes (SWNTs) into hydrophobic filaments built by intertwining solid-solid phase-change polymer chains together. The remarkable architectural features enabled an integral whole of the fabric, ready air exchange, superior water impermeability, highly efficient heat harvesting and storage, and effective absorption and reflection of electromagnetic waves, thereby delivering an exceptional combined function of breathability, waterproofness, thermal regulation, and radiation resistance, and meanwhile featuring superior thermal stability and outstanding resistance to stretching/folding fatigue even at cycles up to 2000. This work sheds light on effective strategies for manufacturing wearable phase-change fabrics with multifunctionality and high stability in a scalable manner toward future uses.

Conservative management versus cesarean hysterectomy in patients with placenta increta or percreta.

OBJECTIVE: To compare conservative management and cesarean hysterectomy in patients with placenta increta or percreta. MATERIALS AND METHODS: In this multicenter retrospective study, we recorded data on 2219 patients with placenta increta or percreta from 20 tertiary care centers in China from 1 January 2011 to 31 December 2015. Propensity score analysis was used to control for baseline characteristics. We divided patients into conservative management (C) and hysterectomy (H) groups. The primary outcome was operative/postoperative maternal morbidity; secondary outcomes were maternal-neonatal outcomes. RESULTS: In total, 17.9% (398/2219) of patients had placenta increta and percreta; 82.1% (1821/2219) of the patients were in group C. After propensity score matching, 140 pairs of patients from the two groups underwent one-to-one matching. Group C showed less average blood loss within 24 h of surgery (1518 ± 1275 vs. 4309 ± 2550 ml in group H, p<.001). There were more patients with blood loss >1000 ml in group H than in group C (93.6% [131/140] vs. 61.4% [86/140], p<.001). More patients received blood transfusions in group H than in group C (p=.014). There was no significant difference between the groups in terms of bladder injury, postoperative anemia, fever, and disseminated intravascular coagulation. Neonatal outcomes in the two groups were similar. CONCLUSION: Either conservative management or hysterectomy should be considered after thorough evaluation and detailed discussion of risks and benefits. A balance between bleeding control and fertility can be achieved.