Magnetically attracting hydrogel reshapes iron metabolism for tissue repair.

Ferroptosis, caused by disorders of iron metabolism, plays a critical role in various diseases, making the regulation of iron metabolism essential for tissue repair. In our analysis of degenerated intervertebral disc tissue, we observe a positive correlation between the concentration of extracellular iron ions (ex-iron) and the severity of ferroptosis in intervertebral disc degeneration (IVDD). Hence, inspired by magnets attracting metals, we combine polyether F127 diacrylate (FDA) with tannin (TA) to construct a magnetically attracting hydrogel (FDA-TA). This hydrogel demonstrates the capability to adsorb ex-iron and remodel the iron metabolism of cells. Furthermore, it exhibits good toughness and self-healing properties. Notably, it can activate the PI3K-AKT pathway to inhibit nuclear receptor coactivator 4-mediated ferritinophagy under ex-iron enrichment conditions. The curative effect and related mechanism are further confirmed in vivo. Consequently, on the basis of the pathological mechanism, a targeted hydrogel is designed to reshape iron metabolism, offering insights for tissue repair.

Favorable prostate-specific antigen levels correlate with a worse prognosis in high-grade prostate cancer: a population-based analysis.

BACKGROUND: To compare the association between prostate-specific antigen (PSA) levels and prostate cancer-specific mortality (PCSM), and the effectiveness of local treatment in patients with high-grade and low-grade prostate cancer (PCa). METHODS: This retrospective cohort study enrolled patients diagnosed with clinically localized PCa (cT1-4N0M0) from January 2010 to December 2020 in the Surveillance, Epidemiology and End Results (SEER) database. Fine-Gray competing risk regression analysis was conducted to generate cumulative incidence plots and estimate the hazards ratio (HR) and 95% confidence interval (95% CI) of PCSM. Multivariable restricted cubic spline (RCS) analysis was used to examine the non-linear associations of continuous values of PSA levels with PCSM. Inverse probability of treatment weighting (IPTW) was employed to minimize imbalances in baseline characteristics between different local treatment cohorts. RESULTS: A total of 392083 eligible patients were included in the study, including 327659 low-grade (Gleason score [GS]≤7) PCa and 64424 high-grade (GS≥8) PCa. In multivariate Fine-Gray competing risk regression analysis, using PSA levels of 4.1-10.0 ng/ml as the reference, the adjusted HR among high-grade patients with PSA levels ≤2.5 ng/ml, 2.6-4.0 ng/ml, 10.1-20.0 ng/ml and >20.0 ng/ml were 1.988 (95% CI=1.677-2.358), 1.411 (95% CI=1.194-1.668), 1.472 (95% CI=1.351-1.603) and 2.506 (95% CI=2.318-2.709), respectively. Among low-grade PCa, the adjusted HR were 0.985 (95% CI=0.800-1.213), 0.727 (95% CI=0.602-0.877), 1.844 (95% CI=1.679-2.026) and 3.574 (95% CI=3.220-3.966), respectively. Multivariable-adjusted RCS analysis showed a U/J-shaped distribution relationship between PSA levels and PCSM in high-grade PCa, while there was a positive association between PSA levels and PCSM in low-grade PCa. As for local treatment effectiveness, radiation therapy (RT) provided better control of PCSM compared to radical prostatectomy (RP) and RP+RT in high-grade PCa, while RP provided better control of PCSM compared to RT and RP+RT in low-grade PCa. CONCLUSION: Low PSA level (≤2.5 ng/ml) is significantly associated with very high risk of PCSM in high-grade localized PCa but not in low-grade localized PCa. High-grade localized PCa patients benefit more from RT in terms of PCSM control, while low-grade localized PCa patients benefit more from RP. High-grade localized PCa with low PSA level may be a unique subgroup that could benefit from novel risk stratification strategies in PCa, which requires further studies to investigate the potential of developing novel therapeutic strategies, prognostic tools, and clinical management approaches.

Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is the most challenging breast cancer subtype. Molecular stratification and target therapy bring clinical benefit for TNBC patients, but it is difficult to implement comprehensive molecular testing in clinical practice. Here, using our multi-omics TNBC cohort (N = 425), a deep learning-based framework was devised and validated for comprehensive predictions of molecular features, subtypes and prognosis from pathological whole slide images. The framework first incorporated a neural network to decompose the tissue on WSIs, followed by a second one which was trained based on certain tissue types for predicting different targets. Multi-omics molecular features were analyzed including somatic mutations, copy number alterations, germline mutations, biological pathway activities, metabolomics features and immunotherapy biomarkers. It was shown that the molecular features with therapeutic implications can be predicted including the somatic PIK3CA mutation, germline BRCA2 mutation and PD-L1 protein expression (area under the curve [AUC]: 0.78, 0.79 and 0.74 respectively). The molecular subtypes of TNBC can be identified (AUC: 0.84, 0.85, 0.93 and 0.73 for the basal-like immune-suppressed, immunomodulatory, luminal androgen receptor, and mesenchymal-like subtypes respectively) and their distinctive morphological patterns were revealed, which provided novel insights into the heterogeneity of TNBC. A neural network integrating image features and clinical covariates stratified patients into groups with different survival outcomes (log-rank P < 0.001). Our prediction framework and neural network models were externally validated on the TNBC cases from TCGA (N = 143) and appeared robust to the changes in patient population. For potential clinical translation, we built a novel online platform, where we modularized and deployed our framework along with the validated models. It can realize real-time one-stop prediction for new cases. In summary, using only pathological WSIs, our proposed framework can enable comprehensive stratifications of TNBC patients and provide valuable information for therapeutic decision-making. It had the potential to be clinically implemented and promote the personalized management of TNBC.

Cuproptosis: Mechanism, role, and advances in urological malignancies.

Prostate, bladder, and kidney cancers are the most common malignancies of the urinary system. Chemotherapeutic drugs are generally used as adjuvant treatment in the middle, late, or recurrence stages after surgery for urologic cancers. However, traditional chemotherapy is plagued by problems such as poor efficacy, severe side effects, and complications. Copper-containing nanomedicines are promising novel cancer treatment modalities that can potentially overcome these disadvantages. Copper homeostasis and cuproptosis play crucial roles in the development, adaptability, and therapeutic sensitivity of urological malignancies. Cuproptosis refers to the direct binding of copper ions to lipoylated components of the tricarboxylic acid cycle, leading to protein oligomerization, loss of iron-sulfur proteins, proteotoxic stress, and cell death. This review focuses on copper homeostasis and cuproptosis as well as recent findings on copper and cuproptosis in urological malignancies. Furthermore, we highlight the potential therapeutic applications of copper- and cuproptosis-targeted therapies to better understand cuproptosis-based drugs for the treatment of urological tumors in the future.

Ligand-Selective Targeting of Macrophage Hydrogel Elicits Bone Immune-Stem Cell Endogenous Self-Healing Program to Promote Bone Regeneration.

Targeting macrophages can facilitate the site-specific repair of critical bone defects. Herein, a composite hydrogel, gelatin-Bletilla striata polysaccharide-mesoporous bioactive glass hydrogel (GBMgel), is constructed via the self-assembly of mesoporous bioactive glass on polysaccharide structures, through the Schiff base reaction. GBMgel can efficiently capture macrophages and drive the recruitment of seed stem cells and vascular budding required for regeneration in the early stages of bone injury, and the observed sustained release of inorganic silicon ions further enhances bone matrix deposition, mineralization, and vascular maturation. Moreover, the use of macrophage-depleted rat calvarial defect models further confirms that GBMgel, with ligand-selective macrophage targeting, increases the bone regeneration area and the proportion of mature bone. Mechanistic studies reveal that GBMgel upregulates the TLR4/NF-κB and MAPK macrophage pathways in the early stages and the JAK/STAT3 pathway in the later stages; thus initiating macrophage polarization at different time points. In conclusion, this study is based on the endogenous self-healing properties of bone macrophages, which enhances stem cell homing, and provides a research and theoretical basis upon which bone tissue can be reshaped and regenerated using the body's immune power, providing a new strategy for the treatment of critical bone defects.

Potential of mesenchymal stem cell-derived conditioned medium/secretome as a therapeutic option for ocular diseases.

Research has shown that the therapeutic effect of mesenchymal stem cells (MSCs) is partially due to its secreted factors as opposed to the implantation of the cells into the treated tissue or tissue replacement. MSC secretome, especially in the form of conditioned medium (MSC-CM) is now being explored as an alternative to MSCs transplantation. Despite the observed benefits of MSC-CM, only a few clinical trials have evaluated it and other secretome components in the treatment of eye diseases. This review provides insight into the potential therapeutic use of MSC-CM in eye conditions, such as corneal diseases, dry eye, glaucoma, retinal diseases and uveitis. We discuss the current evidence, some limitations, and the progress that remains to be achieved before clinical translation becomes possible.

Outcome comparison of radical prostatectomy versus seed brachytherapy for clinically localized prostate cancer using two biochemical recurrence definitions.

OBJECTIVE: We compared the outcome of radical prostatectomy (RP) with seed brachytherapy (BT) in clinically localized prostate cancer (LPCa) using two different biochemical recurrence (BCR) definitions. METHODS: Clinical data of 1117 patients with non-metastatic prostate cancer (PCa) treated with either RP or BT as the basis of the multimodal therapy from a single tertiary hospital between 2007 and 2021 were retrospectively analyzed. 843 LPCa patients (RP = 737, BT = 106) with at least one prostate-specific antigen (PSA) test after treatment were finally included. The BCR survival was evaluated by direct comparison and one-to-one propensity score matching (PSM) analysis using surgical definition (PSA ≥ 0.2ng/ml) for RP and surgical/Phoenix definition (PSA nadir + 2ng/ml ) for BT. The propensity score (PS) was calculated by multivariable logistic regression based on the clinicopathological parameters. RESULTS: Median follow-up was 43 months for RP patients and 45 months for BT patients. Kaplan-Meier analysis did not show any statistically significant differences in terms of BCR-free survival (BFS) between the two groups when using Phoenix definition for BT (P > 0.05). Similar results were obtained in all D'Amico risk groups when stratified analyses were conducted. However, RP achieved improved BFS compared to BT in the whole cohort and all risk groups with the surgical definition for BT(P < 0.05). After adjusting PS, 192 patients were divided into RP and BT groups (96 each). RP presented a better BFS than BT when using the surgical definition (P < 0.001), but no significant difference was found when using the Phoenix definition (P = 0.609). CONCLUSION: Inconsistent BCR-free survival outcomes were acquired using two different BCR definitions for BT patients. RP provided comparable BFS with BT using the Phoenix definition but better BFS using the surgical definition, regardless of whether the PSM was performed. Our findings indicated that an exact BCR definition was critical for prognostic assessment. The corresponding results will assist physicians in pretreatment consultation and treatment selection.

MRI-Derived Radiomics Model to Predict the Biochemical Recurrence of Prostate Cancer Following Seed Brachytherapy.

OBJECTIVE: We aimed to investigate the predictive value of imaging features derived from magnetic resonance imaging (MRI) and develop a radiomics model predicting the biochemical recurrence-free survival (BFS) in prostate cancer (PCa) patients treated with seed brachytherapy (seed-BT). METHODS: The data of 272 patients with PCa treated with seed-BT at Peking University Third Hospital from 2007 to 2019 was retrospectively investigated. Based on the eligibility criteria, 83 patients were finally included in our study. The cohort was divided into two groups in a ratio of 8:2 (training set: n = 67, test set: n = 16). The Cox survival model combined with the least absolute shrinkage and selection operator (LASSO) algorithm was applied to select the radiomics features from T2WI of pretreatment MRI. A radiomics model with selected features was established to predict the BFS. RESULTS: Nineteen patients experienced biochemical recurrence (BCR) during a median follow-up period of 46 months. Three features with non-zero coefficients were selected from 1598 features and used to construct a radiomics model for BCR prediction. The model accurately predicted the BCR in both the training and test groups, for which the concordance index (C-index) were 0.83 and 0.78, respectively. Receiver operating characteristic (ROC) analysis of the test set was conducted to assess the prediction accuracy. The model achieved a high area under the operator curve (AUC) performance for BCR prediction in the test cohort. CONCLUSIONS: Our study revealed the considerable potential of a radiomics model based on MRI-derived imaging features in BCR prediction of PCa patients after seed-BT. Radiomics provides a new perspective to clinicians assessing the outcome of radiotherapy, facilitating accurate prognostic evaluation and preoperative consultation for PCa patients followed by seed-BT.

MRI-derived tumor volume as a predictor of biochemical recurrence and adverse pathology in patients after radical prostatectomy: a propensity score matching study.

PURPOSE: To investigate the predictive value of MRI-derived tumor volume (TV) of biochemical recurrence (BCR) and adverse pathology (AP) in patients following radical prostatectomy (RP). METHODS: The data of 565 patients receiving RP in a single institution between 2010 and 2021 were retrospectively analyzed. All suspicious tumor foci were delineated manually using ITK-SNAP software as the regions of interest (ROIs). The sum of the TV of all lesions was calculated automatically based on the voxel in the ROIs to acquire the final TV parameter. TV was categorized as low-volume (≤ 6.5 cm3) and high-volume (> 6.5 cm3) based on the cut-off value. Univariate and multivariate Cox and logistic regression analyses were performed to identify independent predictors of BCR and AP. The Kaplan-Meier with the log-rank test was conducted to compare the BCR-free survival (BFS) between the low and high-volume groups. RESULTS: All the included patients were divided into the low-volume group (n = 337) and the high-volume group (n = 228). The TV was an independent predictor of BFS in the multivariate Cox regression analysis (Hazard Ratio (HR) [95% CI]: 1.550 [1.066-2.256], P = 0.022). The Kaplan-Meier analysis demonstrated that low volume was associated with a better BFS than high volume before propensity score matching (PSM) (P < 0.001). One hundred and fifty-eight pairs were obtained by 1:1 PSM to balance the baseline parameters between the two groups. After the PSM, low-volume remained to be associated with a better BFS than high-volume (P = 0.006). TV as a categorical variable was an independent factor of AP in multivariate logistic regression analysis (Odd ratio (OR) [95% CI]: 1.821 [1.064-3.115], P = 0.029). After balancing the potential factors influencing AP by 1:1 PSM, 162 new pairs were identified. The high-volume group had a higher AP rate than the low-volume group after PSM (75.9 vs. 64.8%, P = 0.029). CONCLUSION: We adopted a novel approach to acquiring the TV on preoperative MRI. TV was significantly associated with BFS and AP of patients undergoing RP, which was further illustrated by PSM analysis. MRI-derived TV may serve as a predictive marker for assessing BFS and AP in further studies, which will facilitate clinical decision-making and patient counseling.

Functionalized acellular periosteum guides stem cell homing to promote bone defect repair.

The periosteum plays a key role in bone tissue regeneration, especially in the promotion and protection of new bones. However, among the bone repair materials, many biomimetic artificial periosteum lack the natural periosteal structure, stem cells, and immunoregulation required for bone regeneration. In this study, we used natural periosteum to produce acellular periosteum. To retain the appropriate cell survival structure and immunomodulatory proteins, we grafted the functional polypeptide SKP on the surface collagen of the periosteum via an amide bond, providing the acellular periosteum with the ability to recruit mesenchymal stem cells. Thus, we developed a biomimetic periosteum (DP-SKP) with the ability to promote stem cell homing and immunoregulation in vivo. Compared to the blank and simple decellularized periosteum groups, DP-SKP was more conducive to stem cell adhesion, growth, and osteogenic differentiation in vitro. Additionally, compared with the other two groups, DP-SKP significantly promoted mesenchymal stem cell homing to the periosteal transplantation site, improved the bone immune microenvironment, and accelerated new lamellar bone formation in the critical size defect of rabbit skulls in vivo. Therefore, this acellular periosteum with a mesenchymal stem cell homing effect is expected to be used as an extracellular artificial periosteum in clinical practice.

Association between increased inflammatory cytokine expression in the lateral habenular nucleus and depressive-like behavior induced by unpredictable chronic stress in rats.

Depression induced by unpredictable chronic stress (UCS) has been widely studied using animal models. However, its underlying pathological mechanisms remain unclear. Increased inflammatory cytokines (ICs) in the central nervous system (CNS) are closely related to depressive disorder. UCS was used as an animal model in this study to investigate how UCS-induced changes in cytokine signaling lead to depression. We found that UCS could increase ICs in the CNS, especially in the habenular nucleus (Hb). UCS resulted in decreased expression of Menin in Hb and increased the activation of the NF-κB signaling pathway. Local administration of tumor necrosis factor-α in the lateral Hb (LHb) could induce depressive-like behavior in rats. The anti-inflammatory drug aspirin and the NF-κB inhibitor pyrrolidine dithiocarbamate could alleviate depressive-like behavior. This phenomenon was not observed for local administration in the dorsal raphe nucleus and paraventricular nucleus. These results indicate that LHb is the main central target for ICs to regulate depressive-like behaviors. We also found that LHb lesions could improve the inflammatory response in the hippocampus, reduce the activation of the NF-κB signaling pathway and the expression of ICs, and increase the expression of brain-derived neurotrophic factor and its receptor tropomyosin receptor kinase B, collectively improving the neuroinflammation caused by UCS. Moreover, LHb lesions improve not only hippocampal neurogenesis damage caused by UCS by activating the PI3K/mTOR signaling pathway but also hippocampal function by reducing the expression of apoptosis-related proteins, including phosphorylated p53, Bax, Bcl2, and cleaved-caspase3. In conclusion, our study sheds light on the pathogenesis of ICs-induced depression. Anti-inflammation in the CNS could be a new strategy in the treatment of depression.

Bioinformatic Analysis of Prognostic and Immune-Related Genes in Pancreatic Cancer.

Pancreatic cancer (PC) is a malignant tumor with poor prognosis. The poor effect of surgery and chemotherapy makes the research of immunotherapy target molecules significant. Therefore, identifying the new molecular targets of PC is important for patients. In our study, we systematically analyzed molecular correlates of pancreatic cancer by bioinformatic analysis. We characterized differentially expressed analysis based on the TCGA pancreatic cancer dataset. Then, univariate Cox regression was employed to screen out overall survival- (OS-) related DEGs. Based on these genes, we established a risk signature by the multivariate Cox regression model. The ICGC cohort and GSE62452 cohort were used to validate the reliability of the risk signature. The impact of T lymphocyte-related genes from risk signature was confirmed in PC. Here, we observed the correlation between the T lymphocyte-related genes and the expression level of targeted therapy. We established a five-mRNA (LY6D, ANLN, ZNF488, MYEOV, and SCN11A) prognostic risk signature. Next, we identified ANLN and MYEOV that were associated with T lymphocyte infiltrations (P < 0.05). High ANLN and MYEOV expression levels had a poorer prognosis in decreased T lymphocyte subgroup in PC. Correlation analysis between ANLN and MYEOV and immunomodulators showed that ANLN and MYEOV may have potential value in pancreatic cancer immunotherapy.

Efficiencies of selected biotreatments for the remediation of PAH in diluted bitumen contaminated soil microcosms.

Unconventional oils such as diluted bitumen from oil sands differs from most of conventional oils in terms of physiochemical properties and PAHs composition. This raises concerns regarding the effectiveness of current remediation strategies and protocols originally developed for conventional oil. Here we evaluated the efficiency of different biotreatment approaches, such as fungi inoculation (bioaugmentation), sludge addition (bioaugmentation/biostimulation), perennial grasses plantation (phytoremediation) and their combinations as well as natural attenuation (as control condition), for the remediation of soil contaminated by synthetic crude oil (a product of diluted bitumen) in laboratory microcosms. We specifically monitored the PAHs loss percentage (alkylated PAHs and unsubstituted 16 EPA Priority PAHs), the residue of PAHs and evaluated the ecotoxicity of soil after treatment. All treatments were highly efficient with more than ~ 80% of ∑PAHs loss after 60 days. Distinctive loss efficiencies between light PAHs (≤ 3 rings, ~ 96% average loss) and heavy PAHs (4-6 rings, ~ 29% average loss) were observed. The lowest average PAHs residue (0.10 ± 0.02 mg·kg-1, for an initial concentration of 0.29 ± 0.12 mg·kg-1) was achieved with the "sludge-plants (grasses)" combination. Sludge addition was the only treatment that achieved significantly lower ecotoxicity (3% ± 4% of growth inhibition of L. sativa) than the control (natural attenuation, 13% ± 4% of inhibition). Sludge addition, grasses plantation and "sludge-fungi combination" treatments could result in lower PAH exposure (than other treatments) in post-treated soil when using the Canadian Soil Quality Guidelines for the protection of environmental and human health for potentially carcinogenic and other PAHs.

Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma.

BACKGROUND: Many studies have demonstrated that autophagy plays a significant role in regulating tumor growth and progression. However, the effect of autophagy-related genes (ARGs) on the prognosis have rarely been analyzed in head and neck squamous cell carcinoma (HNSCC). METHODS: We obtained differentially expressed ARGs from HNSCC mRNA data in The Cancer Genome Atlas (TCGA) database. And then we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to explore the autophagy-related biological functions. The overall survival (OS)-related and disease specific survival (DSS)-related ARGs were identified by univariate Cox regression analyses. With these genes, we established OS-related and DSS-related risk signature by LASSO regression method, respectively. We validated the reliability of the risk signature with receiver operating characteristic (ROC) analysis, Kaplan-Meier survival curves, clinical correlation analysis, and nomogram. Then we analyzed relationships between risk signature and immune cell infiltration. RESULTS: We established the prognostic signatures based on 14 ARGs for OS and 12 ARGs for DSS. The ROC curves, survival analysis, and nomogram validated the predictive accuracy of the models. Clinic correlation analysis showed that the risk group was closely related to Stage, pathological T stage, pathological N stage and human papilloma virus (HPV) subtype. Cox regression demonstrated that the risk score was an independent predictor for the prognosis of HNSCC patients. Furthermore, patients in low-risk score group exhibited higher immunescore and distinct immune cell infiltration than high-risk score group. And we further analysis revealed that the copy number alterations (CNAs) of ARGs-based signature affected the abundance of tumor-infiltrating immune cells. CONCLUSION: In this study, we identified novel autophagy-related signature for the prediction of OS and DSS in patients with HNSCC. Meanwhile, our study provides a novel sight to understand the role of autophagy and elucidate the important role of autophagy in tumor immune microenvironment (TIME) of HNSCC.

Inactivation of ICAM1 inhibits metastasis and improves the prognosis of Ewing's sarcoma.

BACKGROUND: Ewing's sarcoma (ES) is a kind of malignant tumor, which often occurs in the long bone, pelvis, and other bone tissues, as well as some soft tissues. It often occurs in children and adolescents, second only to osteosarcoma and rhabdomyosarcoma. In the past 30 years, little progress has been made on the genomic mechanism of ES metastasis. METHODS: The gene expression sequence of ES metastasis samples was compared with that of primary tumor samples to obtain differentially expressed genes (DEGs). Subsequently, we annotated the gene functions and enriched pathways of DEGs. Additionally, the protein and protein interaction network were constructed to screen key genes that can lead to the metastasis in ES. Then, cell and molecular biology experiments were conducted to verify the results obtained from the bioinformatics analysis. Finally, we assessed the correlation of expression between the key genes EWSR and FLI1, and conducted a survival analysis of ICAM1. RESULTS: Our study revealed 153 DEGs. Of these, 82 (53.59%) were upregulated and the remaining 71 (46.41%) were downregulated. The bioinformatics analysis showed that ICAM1 was the key gene leading to the invasion and metastasis of ES. Through cell biology and molecular biology experiments, inactivation of ICAM1 inhibited the metastasis of ES cells. The survival and correlation analyses showed that ICAM1 was a risk factor in patients with ES, and that ICAM1 expression was correlated with EWSR and FLI1 expression. CONCLUSION: Our study shows that inactivation of ICAM1 inhibits metastasis and improves the prognosis of ES. Additionally, our findings provide a better understanding of the underlying mechanisms of metastatic ES, a basis for an accurate diagnosis, and therapeutic targets for ES patients.

Ki-67 labelling index is related to the risk classification and prognosis of gastrointestinal stromal tumours: a retrospective study.

BACKGROUND AND AIMS: Gastrointestinal stromal tumours (GISTs) are the most common mesenchymal tumours of the digestive tract with malignant potential. The current risk classification standard is unable to accurately evaluate the invasiveness and clinical outcomes of GISTs. Ki-67 labelling index (LI) may be an effective indicator in assessing tumour invasiveness and prognosis, however, its exact value in GISTs is still uncertain. The aims of our study were to evaluate the correlation of the Ki-67 LI and clinicopathological features of GISTs and to assess the potential value of the Ki-67 LI in GISTs classification and prognosis. METHODS: The clinical, pathological and prognostic data were collected and analysed to identify the independent influential factors of GISTs risk stratification and the predictors of GISTs prognosis. RESULTS: The Ki-67 LI was significantly associated with the clinicopathological features of tumour progression (P<0.05). It was an independent influential factor of GISTs risk classification (odds ratio: 1.322; 95% confidence interval: 1.031-1.696) (P=0.028), and the area under the curve (AUC) value of the Ki-67 LI on the discrimination ability of GISTs risk stratification was 0.906 (P<0.001). The optimal cutoff value of the Ki-67 LI was 6% (sensitivity of 87.5% and specificity of 76.2%), and patients with Ki-67 LI≥6% exhibited significantly poorer progression-free survival (PFS) than those with Ki-67 LI<6% (P<0.001). The AUC value of the Ki-67 LI for predicting PFS in postoperative patients was 0.813 (P=0.03). CONCLUSIONS: The Ki-67 LI has appreciated value to predict the risk grade and prognosis of GISTs. Patients with Ki-67 LI≥6% are prone to recurrence and metastasis after operation and may need a close follow-up.

Identification of all homoeologous chromosomes of newly synthetic allotetraploid Cucumis × hytivus and its wild parent reveals stable subgenome structure.

Allopolyploidy and homoeologous recombination are two important processes in reshaping genomes and generating evolutionary novelties. Newly formed allopolyploids usually display chromosomal perturbations as a result of pairing errors at meiosis. To understand mechanisms of stabilization of allopolyploid species derived from distant chromosome bases, we investigated mitotic stability of a synthetic Cucumis allotetraploid species in relation to meiosis chromosome behavior. The Cucumis × hytivus is an allotetraploid synthesized from interspecific hybridization between cucumber (Cucumis sativus, 2n = 14) and its wild relative Cucumis hystrix (2n = 24) followed by spontaneous chromosome doubling. In the present study, we analyzed the wild parent C. hystrix and the latest generation of C. hytivus using GISH (genomic in situ hybridization) and cross-species FISH (fluorescence in situ hybridization). The karyotype of C. hystrix was constructed with two methods using cucumber fosmid clones and repetitive sequences. Using repeat-element probe mix in two successive hybridizations allowed for routine identification of all 19 homoeologous chromosomes of allotetraploid C. hytivus. No aneuploids were identified in any C. hytivus individuals that were characterized, and no large-scale chromosomal rearrangements were identified in this synthetic allotetraploid. Meiotic irregularities, such as homoeologous pairing, were frequently observed, resulting in univalent and intergenomic multivalent formation. The relatively stable chromosome structure of the synthetic Cucumis allotetraploid may be explained by more deleterious chromosomal viable gametes compared with other allopolyploids. The knowledge of genetic and genomic information of Cucumis allotetraploid species could provide novel insights into the establishment of allopolyploids with different chromosome bases.

Comparative chromosomal localization of 45S and 5S rDNAs and implications for genome evolution in Cucumis.

Ribosomal DNAs are useful cytogenetic markers for chromosome analysis. Studies investigating site numbers and distributions of rDNAs have provided important information for elucidating genome organization and chromosomal relationships of many species by fluorescence in situ hybridization. But relevant studies are scarce for species of the genus Cucumis, especially in wild species. In the present study, FISH was conducted to investigate the organization of 45S and 5S rDNA among 20 Cucumis accessions, including cultivars and wild accessions. Our results showed that the number of 45S rDNA sites varied from one to five pairs in different accessions, and most of these sites are located at the terminal regions of chromosomes. Interestingly, up to five pairs of 45S rDNA sites were observed in C. sativus var. sativus, the species which has the lowest chromosome number, i.e., 2n = 14. Only one pair of 5S rDNA sites was detected in all accessions, except for C. heptadactylus, C. sp, and C. spp that had two pairs of 5S rDNA sites. The distributions of 5S rDNA sites showed more variation than 45S rDNA sites. The phylogenetic analysis in this study showed that 45S and 5S rDNA have contrasting evolutionary patterns. We find that 5S rDNA has a polyploidization-related tendency towards the terminal location from an interstitial location but maintains a conserved site number, whereas the 45S rDNA showed a trend of increasing site number but a relatively conserved location.

Multiresidue analysis of 58 pesticides in bean products by disposable pipet extraction (DPX) cleanup and gas chromatography-mass spectrometry determination.

A method based on disposable pipet extraction (DPX) sample cleanup and gas chromatography with mass spectrometric detection by selected ion monitoring (GC/MS-SIM) was established for 58 targeted pesticide residues in soybean, mung bean, adzuki bean and black bean. Samples were extracted with acetonitrile and concentrated (nitrogen gas flow) prior to being aspirated into DPX tubes. Cleanup procedure was achieved in a simple DPX-Qg tube. Matrix-matched calibrations were analyzed, and the limits of quantification (LOQ) of this method ranged from 0.01 mg kg(-1) to 0.1 mg kg(-1) for all target compounds. Coefficients of determination of the linear ranges were between 0.9919 and 0.9998. Recoveries of fortified level 0.02 mg kg(-1) on soybean, mung bean, adzuki bean and black bean were 70.2-109.6%, 69.1-119.0%, 69.1-119.8%, and 69.0-120.8%, respectively, for all studied pesticides. Moreover, pesticide risk assessment for all the detected residues in 178 market samples at Beijing market area was conducted. A maximum 0.958% of ADI (acceptable daily intake) for NESDI (national estimated daily intake) and 55.1% of ARfD (acute reference dose) for NESTI (national estimated short-term intake) indicated low diet risk of these products.