Radiomics Based on Multimodal magnetic resonance imaging for the Differential Diagnosis of Benign and Malignant Vertebral Compression Fractures.

OBJECTIVES: Recent studies have indicated that radiomics may have excellent performance and clinical application prospects in the differential diagnosis of benign and malignant vertebral compression fractures (VCFs). However, multimodal magnetic resonance imaging (MRI)-based radiomics model is rarely used in the differential diagnosis of benign and malignant VCFs, and is limited to lumbar. Herein, this study intends to develop and validate MRI radiomics models for differential diagnoses of benign and malignant VCFs in patients. METHODS: This cross-sectional study involved 151 adult patients diagnosed with VCF in The First Affiliated Hospital of Soochow University in 2016-2021. The study was conducted in three steps: (i) the original MRI images were segmented, and the region of interest (ROI) was marked out; (ii) among the extracted features, those features with Pearson's correlation coefficient lower than 0.9 and the top 15 with the highest variance and Lasso regression coefficient less than and more than 0 were selected; (iii) MRI images and combined data were studied by logistic regression, decision tree, random forest and extreme gradient boosting (XGBoost) models in training set and the test set (ratio of 8:2), respectively; and the models were further verified and evaluated for the differential diagnosis performance. The evaluated indexes included area under receiver (AUC) of operating characteristic curve, accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and 95% confidence intervals (CIs). The AUCs were used to assess the predictive performance of different machine learning modes for benign and malignant VCFs. RESULTS: A total of 1144 radiomics features, and 14 clinical features were extracted. Finally, 12 radiomics features were included in the radiomics model, and 12 radiomics features with 14 clinical features were included in the combined model. In the radiomics model, the differential diagnosis performance in the logistic regression model with the AUC of 0.905 ± 0.026, accuracy of 0.817 ± 0.057, sensitivity of 0.831 ± 0.065, and negative predictive value of 0.813 ± 0.042, was superior to the other three. In the combined model, XGBoost model had the superior differential diagnosis performance with specificity (0.979 ± 0.026) and positive predictive value (0.971 ± 0.035). CONCLUSION: The multimodal MRI-based radiomics model performed well in the differential diagnosis of benign and malignant VCFs, which may provide a tool for clinicians to differentially diagnose VCFs.

Advances in the anti-tumor mechanisms of saikosaponin D.

Saikosaponin D, a saponin compound, is extracted from Bupleurum and is a principal active component of the plant. It boasts a variety of pharmacologic effects including anti-inflammatory, antioxidant, immunomodulatory, metabolic, and anti-tumor properties, drawing significant attention in anti-tumor research in recent years. Research indicates that saikosaponin D inhibits the proliferation of numerous tumor cells, curbing the progression of cancers such as liver, pancreatic, lung, glioma, ovarian, thyroid, stomach, and breast cancer. Its anti-tumor mechanisms largely involve inhibiting tumor cell proliferation, promoting tumor cell apoptosis, thwarting tumor-cell invasion, and modulating tumor cell autophagy. Moreover, saikosaponin D enhances the sensitivity to anti-tumor drugs and augments body immunity. Given its multi-faceted anti-tumor roles, saikosaponin D offers promising potential in anti-tumor therapy. This paper reviews recent studies on its anti-tumor effects, aiming to furnish new theoretical insights for clinical cancer treatments.

Comparison of the outcomes of concurrent versus staged TAVR combined with PCI in patients with severe aortic stenosis and coronary artery disease: a systematic review and meta-analysis.

BACKGROUND: The optimal timing for percutaneous coronary intervention (PCI) in patients undergoing transcatheter aortic valve replacement (TAVR) remains uncertain. This research aims to evaluate the results of patients diagnosed with severe aortic valve stenosis and coronary artery disease who undergo either simultaneous or staged PCI therapy during TAVR procedures. METHODS: We retrieved all relevant studies from our self-constructed databases up to January 2, 2024, encompassing databases such as Embase, Medline, Cochrane Library, and PubMed. RESULTS: A total of nine studies were included, and the results showed that both surgical modalities had good safety profiles in the early and long-term stages. For early endpoint events, the risk of all-cause mortality and major bleeding within 30 years was similar in the staged TAVR + PCI and the contemporaneous TAVR + PCI ( P > 0.05). Additionally, the risk of myocardial infarction, stroke, acute kidney injury and pacemaker implantation within 30 days or perioperatively is similar ( P > 0.05). For long-term endpoint events, the risk of all-cause mortality, myocardial infarction and stroke was similar in the two groups at ≥2 years ( P > 0.05). CONCLUSION: In patients undergoing TAVR who required coronary revascularization, no significant differences were observed in the early and long-term outcomes between those receiving concurrent TAVR and PCI versus staged surgery.

A novel gene-based model for prognosis prediction of head and neck squamous cell carcinoma.

Background: Head and neck squamous cell carcinoma (HNSCC) is a significant global health challenge. The identification of reliable prognostic biomarkers and construction of an accurate prognostic model are crucial. Methods: In this study, mRNA expression data and clinical data of HNSCC patients from The Cancer Genome Atlas were used. Overlapping candidate genes (OCGs) were identified by intersecting differentially expressed genes and prognosis-related genes. Best prognostic genes were selected using the least absolute shrinkage and selection operator Cox regression based on OCGs, and a risk score was developed using the Cox coefficient of each gene. The prognostic power of the risk score was assessed using Kaplan-Meier survival analysis and time-dependent receiver operating characteristic analysis. Univariate and multivariate Cox regression were performed to identify independent prognostic parameters, which were used to construct a nomogram. The predictive accuracy of the nomogram was evaluated using calibration plots. Functional enrichment analysis of risk score related genes was performed to explore the potential biological functions and pathways. External validation was conducted using data from the Gene Expression Omnibus and ArrayExpress databases. Results: FADS3, TNFRSF12A, TJP3, and FUT6 were screened to be significantly related to prognosis in HNSCC patients. The risk score effectively stratified patients into high-risk group with poor overall survival (OS) and low-risk group with better OS. Risk score, age, clinical M stage and clinical N stage were regarded as independent prognostic parameters by Cox regression analysis and used to construct a nomogram. The nomogram performed well in 1-, 2-, 3-, 5- and 10-year survival predictions. Functional enrichment analysis suggested that tight junction was closely related to the cancer. In addition, the prognostic power of the risk score was validated by external datasets. Conclusions: This study constructed a gene-based model integrating clinical prognostic parameters to accurately predict prognosis in HNSCC patients.

Fine-scale mapping of chromosome 9q22.33 identifies candidate causal variant in ovarian cancer.

Ovarian cancer is a complex polygenic disease in which genetic factors play a significant role in disease etiology. A genome-wide association study (GWAS) identified a novel variant on chromosome 9q22.33 as a susceptibility locus for epithelial ovarian cancer (EOC) in the Han Chinese population. However, the underlying mechanism of this genomic region remained unknown. In this study, we conducted a fine-mapping analysis of 130 kb regions, including 1,039 variants in 200 healthy women. Ten variants were selected to evaluate the association with EOC risk in 1,099 EOC cases and 1,591 controls. We identified two variants that were significantly associated with ovarian cancer risk (rs7027650, P = 1.91 × 10-7; rs1889268, P = 3.71 × 10-2). Expression quantitative trait locus (eQTL) analysis found that rs7027650 was significantly correlated with COL15A1 gene expression (P = 0.009). The Luciferase reporter gene assay confirmed that rs7027650 could interact with the promoter region of COL15A1, reducing its activity. An electrophoretic mobility shift assay (EMSA) showed the allele-specific binding capacity of rs7027650. These findings revealed that rs7027650 could be a potential causal variant at 9q22.33 region and may regulate the expression level of COL15A1. This study offered insight into the molecular mechanism behind a potential causal variant that affects the risk of ovarian cancer.

Molecular mechanism of α-Hederin in tumor progression.

α-Hederin is a monosaccharide pentacyclic triterpene saponin compound derived from the Chinese herb, Pulsatilla. It has garnered considerable attention for its anti-tumor, anti-inflammatory, and spasmolytic pharmacological activities. Given the rising incidence of cancer and the pronounced adverse reactions associated with chemotherapy drugs-which profoundly impact the quality of life for cancer patients-there is an immediate need for safe and effective antitumor agents. Traditional drugs and their anticancer effects have become a focal point of research in recent years. Studies indicate that α-Hederin can hinder tumor cell proliferation and impede the advancement of various cancers, including breast, lung, colorectal, and liver cancers. The principal mechanism behind its anti-tumor activity involves inhibiting tumor cell proliferation, facilitating tumor cell apoptosis, and arresting the cell cycle process. Current evidence suggests that α-Hederin can exert its anti-tumor properties through diverse mechanisms, positioning it as a promising agent in anti-tumor therapy. However, a comprehensive literature search revealed a gap in the comprehensive understanding of α-Hederin. This paper aims to review the available literature on the anti-tumor mechanisms of α-Hederin, hoping to provide valuable insights for the clinical treatment of malignant tumors and the innovation of novel anti-tumor medications.

Pro-carcinogenic actions of miR-155/FOXO3a in colorectal cancer development.

Colorectal cancer (CRC) ranks third in cancer incidence and second in cancer mortality globally. MicroRNAs (miRNAs) are promising biomarkers and therapeutic targets for CRC diagnosis and treatment. The miR-155 is reported to induce radiation resistance in CRC. In this study, we aimed to further clarify the role and underlying mechanism of the miR-155 in CRC cell malignancy. We found that miR-155 was significantly up-regulated in CRC tissues. The results of loss-of-function experiments revealed that miR-155 deficiency suppressed the proliferative capacity, invasion, and migration of CRC cells. Moreover, the downstream target genes of miR-155 were screened, and miR-155 was demonstrated to directly bind to FOXO3a in CRC cells to negatively regulate FOXO3a expression. FOXO3a was downregulated in CRC tissues and the expression of FOXO3a and miR-155 was in negative correlation in CRC tissues. FOXO3a overexpression alone was revealed to inhibit CRC cell growth, migration and invasion. Additionally, rescue assays showed that FOXO3a silencing significantly reversed the inhibitory effect of miR-155 deficiency on CRC cell malignant behaviors. In conclusion, miR-155 induces malignant phenotypes of CRC cells including cell proliferation, migration and invasion by targeting FOXO3a, which might provide clues for the targeted therapy of CRC.

High level of tumor marker CA19-9 returned to normal after cholecystectomy in calculous cholecystitis patients.

BACKGROUND: High serum CA19-9 is usually caused by pancreaticobiliary malignancies, but it has also been found in a tiny minority of calculous cholecystitis patients. AIMS: To clarify the relationship between calculous cholecystitis and serum CA19-9. METHODS: Clinical data of calculous cholecystitis patients with high serum CA19-9 (high group, n = 20) and normal serum CA19-9 (normal group, n = 40) who underwent cholecystectomy were analyzed. Serum CA19-9 of high group were followed-up and gallbladder specimens were analyzed by immunohistochemistry. RESULTS: Serum CA19-9 in the high group ranged from 105 to 1635 U/ml, of which 30% exceeded 1000 U/ml. Follow-up results showed that 20 patient's serum CA19-9 returned to normal after cholecystectomy, including 4 closely followed-up patients whose serum CA19-9 recovered within one month. Immunohistochemical results revealed that CA19-9 was mildly positive only in mucosal epithelial cells in the normal group, but positive in mucosal epithelial cells, vascular endothelial cells, and intercellular substances in the high group, accounting for high serum CA19-9. CONCLUSION: Serum CA19-9 is proved to be associated with calculous cholecystitis for the first time, so that clinicians should consider calculous cholecystitis associated CA19-9 elevation in the clinic practice besides other CA19-9 related diseases.

Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.

BACKGROUND: The N6-methyladenosine (m6 A) can modify long non-coding RNAs (lncRNAs), thereby influencing a wide array of biological functions. However, the prognosis of m6 A-related lncRNAs (m6 ARLncRNAs) in non-small cell lung cancer (NSCLC) remains largely unknown. METHODS: Pearson correlation analysis was used to identify m6 ARLncRNAs in 1835 NSCLC patients and with the condition (|Pearson R| > 0.4 and p < 0.001). Univariant Cox regression analysis was conducted to explore the prognostic m6 ARLncRNAs. We filtered prognostic m6 ARLncRNAs by LASSO regression and multivariate Cox proportional hazard regression to construct and validate an m6 ARLncRNAs signature (m6 ARLncSig). We analyzed the correlation between the m6 ARLncSig score and clinical features, immune microenvironment, tumor mutation burden, and therapeutic sensitivity and conducted independence and clinical stratification analysis. Finally, we established and validated a nomogram for prognosis prediction in NSCLC patients. RESULTS: Forty-one m6 ARLncRNAs were identified as prognostic lncRNAs, and 12 m6 ARLncRNAs were selected to construct m6 ARLncSig in the TCGA training dataset. The m6 ARLncSig was further validated in the testing dataset, GSE31210, GSE37745, GSE30219, and our NSCLC samples. In terms of m6 ARLncSig, NSCLC patients were divided into high- and low-risk groups, with significantly different overall survival (OS), clinical features (age, sex, and tumor stage), tumor-infiltrating immune cells, chemotherapeutic sensitivity, radiotherapeutic response, and biological pathways. Moreover, m6 ARLncSig independently predicted the OS of NSCLC patients. Finally, the robustness and clinical practicability for predicting NSCLC patient prognosis was improved by constructing a nomogram containing the m6 ARLncSig, age, gender, and tumor stage. CONCLUSIONS: Our study demonstrated that m6 ARLncSig could act as a potential biomarker for evaluating the prognosis and therapeutic efficacy in NSCLC patients.

A completely digital workflow aided by cone beam computed tomography scanning to maintain jaw relationships for implant-supported fixed complete dentures: A clinical study.

STATEMENT OF PROBLEM: The conventional workflow for the fabrication of implant-supported fixed complete dentures (IFCDs) is complex and makes it impossible to maintain jaw relationships. A fully digital workflow might solve this problem. PURPOSE: The purpose of this clinical study was to develop a completely digital workflow aided by a cone beam computed tomography (CBCT) scan for the fabrication of IFCDs and to evaluate the accuracy of this workflow with regard to the maintenance of jaw relationships. MATERIAL AND METHODS: All participants received a preoperative CBCT scan while wearing radiographic diagnosis dentures and occluding in the maximum intercuspal position. After the implant surgery, CBCT scanning, intraoral scanning, and stereophotogrammetry were performed to identify jaw anatomy, soft tissue, and the 3-dimensional (3D) locations of the implants, respectively. Then, all data were merged to transfer jaw relationships and generate digital casts to fabricate interim prostheses. A posttreatment CBCT scan was performed while the participants were wearing the interim prostheses and occluding in the maximum intercuspal position. The preoperative and postoperative jaw relationships were compared by CBCT cephalometric analysis. A meaningful and unacceptable difference was defined as 0.8 degrees and 2.4 degrees, respectively. RESULTS: Six participants (6 jaw relationships, 9 arches, and 58 implants) were included. All interim prostheses were stable and achieved symmetric occlusion after only minimal adjustment. A total of 18 angles were measured. Three angles revealed a meaningful minimal difference, and 1 angle revealed an unacceptable minimal difference. No prosthodontic complications were reported during the study. CONCLUSIONS: A completely digital workflow for fabricating IFCDs achieved sufficient accuracy for the maintenance of jaw relationships throughout the treatment.

Safety and efficacy of immune checkpoint inhibitors in advanced cancer patients with autoimmune disease: A meta-analysis.

Cancer patients with autoimmune disease (AID) are usually excluded from clinical trials involving immune checkpoint inhibitors (ICIs). The available electronic databases were systematically searched from inception until July 3, 2022. We recorded the incidence of immune-related adverse events (irAEs), progression-free survival (PFS), and overall survival (OS) data of included studies. This meta-analysis included 14 studies comprising 11511 participants; however, only 8716 participants were treated with ICI. Therefore, the analysis was conducted on 8716 patients (769 patients with AID compared to 7947 patients without AID). The pooled risk ratio (RR) for any grade and grade ≥3 irAEs was 1.74 (95% confidence interval [CI]: 1.27-2.37) and 1.43 (95% CI: 1.10-1.88), respectively. The irAEs in the same system as that of the AID were referred to as AID-homogeneous irAEs; in the other cases, there were referred to as AID-heterogeneous irAEs. Subgroup analysis found that the higher risk of AID-homogeneous irAEs contributed to the higher risk of overall irAEs among patients with AID. The pooled hazard ratio (HR) for PFS and OS was 1.09 (95% CI: 0.96-1.24) and 1.07 (95% CI: 0.94-1.22), respectively. The results of PFS and OS subgroup analyses matched the overall results. Patients with AID had a significantly higher risk of developing any grade and ≥3 grade irAEs under ICI therapy, specifically AID-homogeneous irAEs; however, the frequency of AID-heterogeneous irAEs in patients with AID was similar to irAEs in patients without AID. No statistically significant differences in PFS and OS were observed between the two groups.

Efficacy and safety of plasmapheresis without plasma transfusion tandem with chemotherapy to treat multiple myeloma.

OBJECTIVES: This study evaluates the efficacy and safety of plasmapheresis without plasma transfusion tandem with chemotherapy in treating multiple myeloma (MM). METHOD: This retrospective study involves seventy-two patients, newly diagnosed with multiple myeloma, divided into two groups; one with plasmapheresis without plasma transfusion tandem with the chemotherapy group (Trial group), while the second was chemotherapy group (Control group). The levels of Plasma Globulin, ß2-microglobulin, Creatinine, Vascular endothelial growth factor (VEGF), and IL-6 were monitored after plasmapheresis, at initial diagnosis, and after four chemotherapy courses. Overall response rate of groups after four courses of chemotherapy was analyzed, and the adverse events were recorded. RESULTS AND DISCUSSION: The baseline data showed that sixty-seven percent of patients were at the ISS III stage and showed more severe renal insufficiency in the Trial group. The Plasma Globulin, ß2-microglobulin, VEGF and IL-6 levels were significantly different between the two groups during the initial diagnosis. After three times plasmapheresis, Plasma Globulin, ß2-microglobulin, VEGF, and IL-6 were significantly reduced in the plasmapheresis group. The Creatinine levels were also lowered, but the differences were not statistically significant. After four courses of chemotherapy, the levels of VEGF and IL-6 in the two groups were significantly reduced than the initial diagnosis; the differences were statistically considerable. No adverse events were found in the trial group as compared to the control group. CONCLUSION: Plasmapheresis reduces Globulin, ß2-microglobulin, serum VEGF and IL-6 levels in MM, improves renal functions, and releases some patients from dialysis dependence.

Single-cell technologies: From research to application.

In recent years, more and more single-cell technologies have been developed. A vast amount of single-cell omics data has been generated by large projects, such as the Human Cell Atlas, the Mouse Cell Atlas, the Mouse RNA Atlas, the Mouse ATAC Atlas, and the Plant Cell Atlas. Based on these single-cell big data, thousands of bioinformatics algorithms for quality control, clustering, cell-type annotation, developmental inference, cell-cell transition, cell-cell interaction, and spatial analysis are developed. With powerful experimental single-cell technology and state-of-the-art big data analysis methods based on artificial intelligence, the molecular landscape at the single-cell level can be revealed. With spatial transcriptomics and single-cell multi-omics, even the spatial dynamic multi-level regulatory mechanisms can be deciphered. Such single-cell technologies have many successful applications in oncology, assisted reproduction, embryonic development, and plant breeding. We not only review the experimental and bioinformatics methods for single-cell research, but also discuss their applications in various fields and forecast the future directions for single-cell technologies. We believe that spatial transcriptomics and single-cell multi-omics will become the next booming business for mechanism research and commercial industry.

Effectiveness and Mechanisms of Low-Intensity Pulsed Ultrasound on Osseointegration of Dental Implants and Biological Functions of Bone Marrow Mesenchymal Stem Cells.

Dental implant restoration is the preferred choice for patients with dentition defects or edentulous patients, and obtaining stable osseointegration is the determining factor for successful implant healing. The risk of implant failure during the healing stage is still an urgent problem in clinical practice due to differences in bone quality at different implant sites and the impact of some systemic diseases on bone tissue metabolism. Low-intensity pulsed ultrasound (LIPUS) is a noninvasive physical intervention method widely recognized in the treatment of bone fracture and joint damage repair. Moreover, many studies indicated that LIPUS could effectively promote the osseointegration of dental implants and improve the osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs). This review is aimed at investigating the research progress on the use of LIPUS in dental implant medicine from three aspects: (1) discuss the promoting effects of LIPUS on osseointegration and peri-implant bone regeneration, (2) summarize the effects and associated mechanisms of LIPUS on the biological functions of BMSCs, and (3) introduce the application and prospects of LIPUS in the clinical work of dental implantation. Although many challenges need to be overcome in the future, LIPUS is bound to be an efficient and convenient therapeutic method to improve the dental implantation success rate and expand clinical implant indications.

Identification of Ubiquitin-Related Gene-Pair Signatures for Predicting Tumor Microenvironment Infiltration and Drug Sensitivity of Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) is a common pathological type of lung cancer worldwide, and new biomarkers are urgently required to guide more effective individualized therapy for patients. Ubiquitin-related genes (UbRGs) partially participate in the initiation and progression of lung cancer. In this study, we used ubiquitin-related gene pairs (UbRGPs) in tumor tissues to access the function of UbRGs in overall survival, immunocyte infiltration, and tumor mutation burden (TMB) of patients with LUAD from The Cancer Genome Atlas (TCGA) database. In addition, we constructed a prognostic signature based on six UbRGPs and evaluated its performance in an internal (TCGA testing set) and an external validation set (GSE13213). The prognostic signature revealed that risk scores were negatively correlated with the overall survival, immunocyte infiltration, and expression of immune checkpoint inhibitor-related genes and positively correlated with the TMB. Patients in the high-risk group showed higher sensitivity to partially targeted and chemotherapeutic drugs than those in the low-risk group. This study contributes to the understanding of the characteristics of UbRGPs in LUAD and provides guidance for effective immuno-, chemo-, and targeted therapy.

Native Endophytes of Tripterygium wilfordii-Mediated Biotransformation Reduces Toxicity of Celastrol.

Celastrol (1), obtained from the roots of Tripterygium wilfordii Hook F., is most likely to become an antitumor drug, but with severe cytotoxicity. Due to the lack of modifiable sites in the structure of celastrol, the structural diversity of the modified products obtained by synthesis in the previous studies is insufficient, which hinders the pace of its patent medicine. This study describes a method of microbial transformation to increase the modification site of celastrol and reduce its toxicity. The screening of endophytes from native plants was introduced in this context, which led to two novel stereoselective oxidation products such as S-16-hydroxyl celastrol (2) and A-ring aromatized S-16-hydroxyl celastrol (3), along with a rare 7,9-octadecadienoic acid ester of celastrol (4). Their structures were determined by extensive spectroscopic data analysis, especially 1D and 2D NMR. Compared with 1, compounds 3 and 4 exhibited similar antitumor activity in U251, A549, KG-1, and B16 cell lines. Compound 2 had slightly decreased antitumor activity when compared with compound 1. Furthermore, compound 2-4 showed lower cytotoxicity against BV-2 (about 21-fold lower, 2: 92.82 µM, 3: 34.25 µM, and 4: 74.75 µM vs. celastrol: 4.35 µM), and also identical trends against H9c2 and PC12 cell lines.

Craniomaxillofacial derived bone marrow mesenchymal stem/stromal cells (BMSCs) for craniomaxillofacial bone tissue engineering: A literature review.

Craniomaxillofacial bone defects seriously affect the appearance, function, and psychological status of patients. Traditional autologous bone grafting is very challenging due to the limited sources of bone tissue, excessive surgical trauma, and high incidence of related complications. Craniomaxillofacial bone tissue engineering (BTE) strategies based on bone marrow mesenchymal stem cells (BMSCs) are emerging as an alternative. Craniomaxillofacial BMSCs (C-BMSCs) are homologous to craniomaxillofacial bones, which develop from the mesoderm and neural crest. This article aims to compare the differences in osteogenesis, angiogenesis, and immune regulation of C-BMSCs and other sources of BMSCs, and propose ideas and strategies such as 3D printing and mechanotherapy to completely harness the characteristics of C-BMSCs. In conclusion, C-BSMCs are a promising source of stem cells for the repair and reconstruction of craniomaxillofacial bone defects, and more attention should be paid to accelerating their basic research and clinical practices.

N6-Methyladenosine-Related lncRNAs Are Novel Prognostic Markers and Predict the Immune Landscape in Acute Myeloid Leukemia.

Background: Acute myelocytic leukemia (AML) is one of the hematopoietic cancers with an unfavorable prognosis. However, the prognostic value of N 6-methyladenosine-associated long non-coding RNAs (lncRNAs) in AML remains elusive. Materials and Methods: The transcriptomic data of m6A-related lncRNAs were collected from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. AML samples were classified into various subgroups according to the expression of m6A-related lncRNAs. The differences in terms of biological function, tumor immune microenvironment, copy number variation (CNV), and drug sensitivity in AML between distinct subgroups were investigated. Moreover, an m6A-related lncRNA prognostic model was established to evaluate the prognosis of AML patients. Results: Nine prognosis-related m6A-associated lncRNAs were selected to construct a prognosis model. The accuracy of the model was further determined by the Kaplan-Meier analysis and time-dependent receiver operating characteristic (ROC) curve. Then, AML samples were classified into high- and low-risk groups according to the median value of risk scores. Gene set enrichment analysis (GSEA) demonstrated that samples with higher risks were featured with aberrant immune-related biological processes and signaling pathways. Notably, the high-risk group was significantly correlated with an increased ImmuneScore and StromalScore, and distinct immune cell infiltration. In addition, we discovered that the high-risk group harbored higher IC50 values of multiple chemotherapeutics and small-molecule anticancer drugs, especially TW.37 and MG.132. In addition, a nomogram was depicted to assess the overall survival (OS) of AML patients. The model based on the median value of risk scores revealed reliable accuracy in predicting the prognosis and survival status. Conclusion: The present research has originated a prognostic risk model for AML according to the expression of prognostic m6A-related lncRNAs. Notably, the signature might also serve as a novel biomarker that could guide clinical applications, for example, selecting AML patients who could benefit from immunotherapy.

POU6F1 cooperates with RORA to suppress the proliferation of lung adenocarcinoma by downregulation HIF1A signaling pathway.

Lung adenocarcinoma (LUAD) represents the most frequently diagnosed histological subtype of non-small cell lung cancer with the highest mortality worldwide. Transcriptional dysregulation is a hallmark of nearly all kinds of cancers. In the study, we identified that the POU domain, class 6, transcription factor 1 (POU6F1), a member of the POU family of transcription factors, was closely associated with tumor stage and death in LUAD. We revealed that POU6F1 was downregulated in LUAD tissues and downregulated POU6F1 was predictive of an unfavorable prognosis in LUAD patients. In vitro assays, including CCK8, soft agar, transwell, clone formation, wound-healing assay, and nude mouse xenograft model all revealed that POU6F1 inhibited the growth and invasion of LUAD cells. Mechanistically, POU6F1 bound and stabilized retinoid-related orphan receptor alpha (RORA) to exert the transcriptional inhibition of hypoxia-inducible factor 1-alpha (HIF1A) and alter the expression of HIF1A signaling pathway-associated genes, including ENO1, PDK1, and PRKCB, thereby leading to the suppression of LUAD cells. Collectively, these results demonstrated the suppressive role of POU6F1/RORA in the progression of LUAD and may potentially be used as a target for the treatment of LUAD.

Integrin α10 regulates adhesion, migration, and osteogenic differentiation of alveolar bone marrow mesenchymal stem cells in type 2 diabetic patients who underwent dental implant surgery.

Type 2 diabetes mellitus (T2DM) is a clinically important risk factor for dental implant treatment failure. An imbalance in the microenvironment of the jawbone of diabetic patients can impair the functions of bone marrow mesenchymal stem cells (BMSCs), thereby interfering with implant osseointegration during the healing phase. This study aims to investigate potential molecular factors associated with abnormal BMSC biological functions in diabetic patients with dental implant failure and identify intervention targets to improve implant osseointegration. The results of cell adhesion, cell scratch migration, alkaline phosphatase (ALP) activity, alizarin red staining, and real-time PCR assays showed that the adhesion, migration, and osteogenic differentiation abilities were significantly lower in alveolar BMSCs isolated from diabetic patients with implant failure (DM-F group) than in those isolated from diabetic patients with implant success (DM-S group) and normal patients (Nor group). Also, bioinformatics analysis and verification of whole-cell proteomics results revealed that integrin subunit alpha10 (ITGA10) expression in BMSCs was significantly lower in the DM-F group than in the DM-S group and much lower than that in the Nor group. In addition, lentiviral mediated short hairpin RNA (shRNA) or complementary DNA (cDNA) was used to knockdown or overexpress ITGA10 in BMSCs from diabetic patients, and the results revealed that ITGA10 knockdown significantly reduced the adhesion and migration abilities of BMSCs and inhibited their osteogenic differentiation potential by disturbing the FAK/PI3K/AKT/GSK3ß/ß-catenin pathway. ITGA10 overexpression produced the opposite results. In summary, this study revealed that low ITGA10 expression in BMSCs from the DM-F group is a major cause of cell dysfunction, including reduction in the adhesion, migration, and osteogenic differentiation abilities of BMSCs, and provided insight into the underlying mechanism. Additionally, ITGA10 was identified as a potential target protein for improving the biological functions of BMSCs and dental implant osseointegration in T2DM patients.