Objective: In ovarian cancer (OvCa), tumor cell high glucocorticoid receptor (GR) has been associated with poor patient prognosis. In vitro, GR activation inhibits chemotherapyinduced OvCa cell death in association with transcriptional upregulation of genes encoding anti-apoptotic proteins. A recent randomized phase II study demonstrated improvement in progression-free survival (PFS) for heavily pre-treated OvCa patients randomized to receive therapy with a selective GR modulator (SGRM) plus chemotherapy compared to chemotherapy alone. We hypothesized that SGRM therapy would improve carboplatin response in OvCa patient-derived xenograft (PDX). Methods: Six high-grade serous (HGS) OvCa PDX models expressing GR mRNA (NR3C1) and protein were treated with chemotherapy +/− SGRM. Tumor size was measured longitudinally by peritoneal transcutaneous ultrasonography. Results: One of the 6 GR-positive PDX models showed a significant improvement in PFS with the addition of a SGRM. Interestingly, the single model with an improved PFS was least carboplatin sensitive. Possible explanations for the modest SGRM activity include the high carboplatin sensitivity of 5 of the PDX tumors and the potential that SGRMs activate the tumor invasive immune cells in patients (absent from immunocompromised mice). The level of tumor GR protein expression alone appears insufficient for predicting SGRM response. Conclusion The significant improvement in PFS shown in 1 of the 6 models after treatment with a SGRM plus chemotherapy underscores the need to determine predictive biomarkers for SGRM therapy in HGS OvCa and to better identify patient subgroups that are most likely to benefit from adding GR modulation to chemotherapy.

Objective: In ovarian cancer (OvCa), tumor cell high glucocorticoid receptor (GR) has been associated with poor patient prognosis. In vitro, GR activation inhibits chemotherapyinduced OvCa cell death in association with transcriptional upregulation of genes encoding anti-apoptotic proteins. A recent randomized phase II study demonstrated improvement in progression-free survival (PFS) for heavily pre-treated OvCa patients randomized to receive therapy with a selective GR modulator (SGRM) plus chemotherapy compared to chemotherapy alone. We hypothesized that SGRM therapy would improve carboplatin response in OvCa patient-derived xenograft (PDX). Methods: Six high-grade serous (HGS) OvCa PDX models expressing GR mRNA (NR3C1) and protein were treated with chemotherapy +/− SGRM. Tumor size was measured longitudinally by peritoneal transcutaneous ultrasonography. Results: One of the 6 GR-positive PDX models showed a significant improvement in PFS with the addition of a SGRM. Interestingly, the single model with an improved PFS was least carboplatin sensitive. Possible explanations for the modest SGRM activity include the high carboplatin sensitivity of 5 of the PDX tumors and the potential that SGRMs activate the tumor invasive immune cells in patients (absent from immunocompromised mice). The level of tumor GR protein expression alone appears insufficient for predicting SGRM response. Conclusion The significant improvement in PFS shown in 1 of the 6 models after treatment with a SGRM plus chemotherapy underscores the need to determine predictive biomarkers for SGRM therapy in HGS OvCa and to better identify patient subgroups that are most likely to benefit from adding GR modulation to chemotherapy.

Objective: In ovarian cancer (OvCa), tumor cell high glucocorticoid receptor (GR) has been associated with poor patient prognosis. In vitro, GR activation inhibits chemotherapyinduced OvCa cell death in association with transcriptional upregulation of genes encoding anti-apoptotic proteins. A recent randomized phase II study demonstrated improvement in progression-free survival (PFS) for heavily pre-treated OvCa patients randomized to receive therapy with a selective GR modulator (SGRM) plus chemotherapy compared to chemotherapy alone. We hypothesized that SGRM therapy would improve carboplatin response in OvCa patient-derived xenograft (PDX). Methods: Six high-grade serous (HGS) OvCa PDX models expressing GR mRNA (NR3C1) and protein were treated with chemotherapy +/− SGRM. Tumor size was measured longitudinally by peritoneal transcutaneous ultrasonography. Results: One of the 6 GR-positive PDX models showed a significant improvement in PFS with the addition of a SGRM. Interestingly, the single model with an improved PFS was least carboplatin sensitive. Possible explanations for the modest SGRM activity include the high carboplatin sensitivity of 5 of the PDX tumors and the potential that SGRMs activate the tumor invasive immune cells in patients (absent from immunocompromised mice). The level of tumor GR protein expression alone appears insufficient for predicting SGRM response. Conclusion The significant improvement in PFS shown in 1 of the 6 models after treatment with a SGRM plus chemotherapy underscores the need to determine predictive biomarkers for SGRM therapy in HGS OvCa and to better identify patient subgroups that are most likely to benefit from adding GR modulation to chemotherapy.

Objective To observe the value of multiparametric MRI-based radiomics model and deep learning(DL)model for distinguishing benign and malignant myxoid soft tissue tumors(MSTT).Methods A total of 141 MSTT patients confirmed with pathology were retrospectively collected.The patients were randomly divided into training set(n=98,including 51 cases of malignant MSTT and 47 cases of benign MSTT)and test set(n=43,including 22 cases of malignant MSTT and 21 cases of benign MSTT)at the ratio of 7∶3.Based on T1WI and fat suppression(FS)-T2WI in training set,radiomics features and DL features were extracted and selected,then a radiomics model and a DL model were constructed,respectively.Receiver operating characteristic(ROC)curves,calibration curves and decision curves were drawn,and the discrimination,calibration and net benefit of these 2 models were compared.Results In training set,the radiomics model for differentiating benign and malignant MSTT was constructed according to 9 optimal radiomics features,including 2 first order features,1 shape feature,3 gray level co-occurrence matrix features,1 gray level dependence matrix feature and 2 gray level size zone matrix features,while DL model was built based on 7 optimal DL features.In test set,the area under the ROC curve of radiomics model and DL model was 0.758 and 0.911,respectively,the latter was higher than the former(P=0.017).Both models had good calibration,and DL model had higher overall net benefit.Conclusion Compared with radiomics model,DL model based on MRI had better ability to differentiating benign and malignant MSTT,also higher overall net benefit.

Objective:To analyze the molecular mechanism of Zhenqi Fuzheng Capsules in the adjuvant treatment of AIDS by network pharmacology method and molecular docking technology.Methods:The active components and targets of Zhenqi Fuzheng Capsules were obtained through TCMSP, and the AIDS-related targets were obtained through GeneCards, OMIM and DrugBank databases. The intersection target PPI network was constructed through STRING 11.5 database, and Cytoscape 3.9.1 software was used for network topology analysis; Metascape database was used for GO function and KEGG pathway enrichment analysis of core targets; Cytoscape 3.9.1 was used to construct Zhenqi Fuzheng Capsules component-target-pathway network; Autodock Tools software was used to carry out molecular docking of core targets and active components.Results:Totally 31 active components and 180 targets of Zhenqi Fuzheng Capsules were screened out. TNF, IL6, AKT1, IL1B, TP53, VEGFA, RELA, EGFR and CASP3 were identified as the core targets. GO functional enrichment analysis obtained 1 436 biological processes, 53 cellular components, and 117 molecular functions. KEGG pathway enrichment analysis obtained 167 pathways, which were related to pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, and IL-17 signaling pathway was closely related. Molecular docking results showed that core targets such as AKT1 and TNF had good binding activity to quercetin, kaempferol, and luteolin.Conclusion:The main active components of Zhenqi Fuzheng Capsules in the adjuvant treatment of AIDS are quercetin, kaempferol and luteolin, which may treat AIDS through the IL-17 signaling pathway.

A total of 6 patients were treated with surface knee joint prosthesis combined with 3D-printed customized bionic tibial block for reconstruction of bone defect after giant cell tumor (GCT) in proximal tibia (1 male and 5 females, aged 50, 40, 68, 53, 35, 42, respectively). 3 patients with primary and 3 patients with recurrence of GCT. After resection of the tumor, the bone defect was filled with 3D-printed block combined with surface knee prosthesis, the surrounding ligaments were reconstructed with microporous structure and artificial mesh. All cases were followed up for 60, 90, 60, 60, 75, and 50 months, respectively. During the follow-up, there was no local recurrence, no radiolucent lines around prosthesis, and no signs of loosening. The clinical scores of the American Knee Society Score (KSS) were 87, 92, 85, 90, 95 and 78. The functional scores were 70, 100, 70, 100, 100 and 80 respectively. Musculoskeletal Tumor Society Score (MSTS) were 27, 28, 26, 26, 26, 27, respectively. Surface knee prosthesis combined with bionic block can effectively fill the bone defect after resection of GCT in proximal tibia, achieve anatomical and functional reconstruction of knee joint.

Postzygotic mutations are acquired in normal tissues throughout an individual's lifetime and hold clues for identifying mutagenic factors.Here,we investigated postzygotic mutation spectra of healthy individuals using optimized ultra-deep exome sequencing of the time-series samples from the same volunteer as well as the samples from different individuals.In blood,sperm,and muscle cells,we resolved three common types of mutational signatures.Signatures A and B represent clock-like mutational processes,and the polymorphisms of epigenetic regulation genes influence the pro-portion of signature B in mutation profiles.Notably,signature C,characterized by C＞T transitions at GpCpN sites,tends to be a feature of diverse normal tissues.Mutations of this type are likely to occur early during embryonic development,supported by their relatively high allelic frequencies,presence in multiple tissues,and decrease in occurrence with age.Almost none of the public datasets for tumors feature this signature,except for 19.6％of samples of clear cell renal cell carcinoma with increased activation of the hypoxia-inducible factor 1(HIF-1)signaling pathway.Moreover,the accumulation of signature C in the mutation profile was accelerated in a human embryonic stem cell line with drug-induced activation of HIF-1α.Thus,embryonic hypoxia may explain this novel signature across multiple normal tissues.Our study suggests that hypoxic condition in an early stage of embryonic development is a crucial factor inducing C＞T transitions at GpCpN sites;and indi-viduals'genetic background may also influence their postzygotic mutation profiles.

Genome reannotation aims for complete and accurate characterization of gene models and thus is of critical significance for in-depth exploration of gene function. Although the availability of massive RNA-seq data provides great opportunities for gene model refinement, few efforts have been made to adopt these precious data in rice genome reannotation. Here we reannotate the rice (Oryza sativa L. ssp. japonica) genome based on integration of large-scale RNA-seq data and release a new annotation system IC4R-2.0. In general, IC4R-2.0 significantly improves the completeness of gene structure, identifies a number of novel genes, and integrates a variety of functional annota-tions. Furthermore, long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) are system-atically characterized in the rice genome. Performance evaluation shows that compared to previous annotation systems, IC4R-2.0 achieves higher integrity and quality, primarily attributable to mas-sive RNA-seq data applied in genome annotation. Consequently, we incorporate the improvedannotations into the Information Commons for Rice (IC4R), a database integrating multiple omics data of rice, and accordingly update IC4R by providing more user-friendly web interfaces and implementing a series of practical online tools. Together, the updated IC4R, which is equipped with the improved annotations, bears great promise for comparative and functional genomic studies in rice and other monocotyledonous species. The IC4R-2.0 annotation system and related resources are freely accessible at http://ic4r.org/.

Objective To explore the inhibitory effects of miR-15 b-5 p on choroid melanoma cell line proliferation by targeting CDK4.Methods Dual-luciferase assay was used to verify the direct binding site between miR-15 b-5 p and CDK4 3'-UTR. MUM-2 B cells were cultured in vitro and transfected with negative control RNA, miR-15 b-5 p mimics, inhibitor normal control (nc) RNA, and miR-15 b-5 p inhibitor. qRT-PCR was used to detect miR-15 b-5 p expression, Western blotting was used to measure the expression levels of CDK4 in the cells, CCK-8 assay was used to detect proliferation capacity, and flow cytometry was used to detect cell cycle. Results Dual-luciferase assay verified that miR-15 b-5 p could bind to CDK4 mRNA 3'-UTR successfully. Compared to the negative control group, the mimics group showed significantly increased miR-15 b-5 p expression, decreased CDK4 levels, decreased cell proliferation rate, and increased proportion of G1-phase cells. Compared to the inhibitor nc group, the inhibitor group showed significantly decreased miR-15 b-5 p expression (t = 25.01, P ＜ 0.000 1), increased CDK4 protein level, increased cell proliferation rate, and decreased proportion of G1-phase cells.Conclusion miR-15 b-5 p can target CDK4, induce G1 phase arrest in cells, and thus, reduce the proliferation rate of choroid melanoma cells.

The Autism Spectrum Rating Scale (ASRS) and the Social Responsiveness Scale (SRS) have been widely used for screening autism spectrum disorder (ASD) in the general population during epidemiological studies, but studies of individuals with intellectual disability (ID) are quite limited. Therefore, we recruited the parents/caregivers of 204 ASD cases, 71 ID cases aged 6-18 years from special education schools, and 402 typically developing (TD) children in the same age span from a community-based population to complete the ASRS and SRS. The results showed that the ID group scored significantly lower on total and subscale scores than the ASD group on both scales (P < 0.05) but higher than TD children (P < 0.05). Receiver operating characteristic analyses demonstrated a similar fair performance in discriminating ASD from ID with the ASRS (area under the curve (AUC) = 0.709, sensitivity = 77.0%, specificity = 52.1%, positive predictive value (PPV) = 82.2%) and the SRS (AUC = 0.742, sensitivity = 59.8%, specificity = 77.5%, PPV = 88.4%). The results showed that individuals with ID had clear autistic traits and discriminating ASD from ID cases was quite challenging, while assessment tools such as ASRS and SRS, help to some degree.
Adolescent ; Age Distribution ; Age Factors ; Autism Spectrum Disorder ; complications ; psychology ; Child ; China ; Female ; Humans ; Intellectual Disability ; etiology ; Male ; Psychiatric Status Rating Scales ; Psychometrics ; Retrospective Studies ; Social Behavior ; Statistics, Nonparametric