Whole-genome selection signature differences between Chaohu and Ji'an red ducks.

Assessing the genetic structure of local varieties and understanding their genetic data are crucial for effective management and preservation. However, the genetic differences among local breeds require further explanation. To enhance our understanding of their population structure and genetic diversity, we conducted a genome-wide comparative study of Chaohu and Ji'an Red ducks using genome sequence and restriction site-associated DNA sequencing technology. Our analysis revealed a distinct genetic distinction between the two breeds, leading to divided groups. The phylogenetic tree for Chaohu duck displayed two branches, potentially indicating minimal impact from artificial selection. Additionally, our ROH (runs of homozygosity) analysis revealed that Chaohu ducks had a lower average inbreeding coefficient than Ji'an Red ducks. We identified several genomic regions with high genetic similarity in these indigenous duck breeds. By conducting a selective sweep analysis, we identified 574 candidate genes associated with muscle growth (BMP2, ITGA8, MYLK, and PTCH1), fat deposits (ELOVL1 and HACD2), and pigmentation (ASIP and LOC101797494). These results offer valuable insights for the further enhancement and conservation of Chinese indigenous duck breeds.

Nitrogen-Centered Lactate Oxidase Nanozyme for Tumor Lactate Modulation and Microenvironment Remodeling.

Designing nanozymes that match natural enzymes have always been an attractive and challenging goal. In general, researchers mainly focus on the construction of metal centers and the control of non-metallic ligands of nanozyme to regulate their activities. However, this is not applicable to lactate oxidase, i.e., flavoenzymes with flavin mononucleotide (FMN)-dependent pathways. Herein, we propose a coordination strategy to mimic lactate oxidase based on engineering the electronic properties at the N center by modulating the Co number near N in the Cox-N nanocomposite. Benefitting from the manipulated coordination fields and electronic structure around the electron-rich N sites, Co4N/C possesses a precise recognition site for lactate and intermediate organization and optimizes the absorption energies for intermediates, leading to superior oxidation of the lactate α-C-sp(3)-H bond toward ketone. The optimized nanozyme delivers much improved anticancer efficacy by reversing the high lactate and the immunosuppressive state of the tumor microenvironment, subsequently achieving excellent tumor growth and distant metastasis inhibition. The developed Co4N/C NEs open a new window for building a bridge between chemical catalysis and biocatalysis.

5mC regulator-mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide precision medicine in bladder cancer.

BACKGROUND: Depicting the heterogeneity and functional characteristics of the tumor microenvironment (TME) is necessary to achieve precision medicine for bladder cancer (BLCA). Although classical molecular subtypes effectively reflect TME heterogeneity and characteristics, their clinical application is limited by several issues. METHODS: In this study, we integrated the Xiangya cohort and multiple external BLCA cohorts to develop a novel 5-methylcytosine (5mC) regulator-mediated molecular subtype system and a corresponding quantitative indicator, the 5mC score. Unsupervised clustering was performed to identify novel 5mC regulator-mediated molecular subtypes. The principal component analysis was applied to calculate the 5mC score. Then, we correlated the 5mC clusters (5mC score) with classical molecular subtypes, immunophenotypes, clinical outcomes, and therapeutic opportunities in BLCA. Finally, we performed pancancer analyses on the 5mC score. RESULTS: Two 5mC clusters, including 5mC cluster 1 and cluster 2, were identified. These novel 5mC clusters (5mC score) could accurately predict classical molecular subtypes, immunophenotypes, prognosis, and therapeutic opportunities of BLCA. 5mC cluster 1 (high 5mC score) indicated a luminal subtype and noninflamed phenotype, characterized by lower anticancer immunity but better prognosis. Moreover, 5mC cluster 1 (high 5mC score) predicted low sensitivity to cancer immunotherapy, neoadjuvant chemotherapy, and radiotherapy, but high sensitivity to antiangiogenic therapy and targeted therapies, such as blocking the ß-catenin, FGFR3, and PPAR-γ pathways. CONCLUSIONS: The novel 5mC regulator-based subtype system reflects many aspects of BLCA biology and provides new insights into precision medicine in BLCA. Furthermore, the 5mC score may be a generalizable predictor of immunotherapy response and prognosis in pancancers.

Microarray expression profiles analysis revealed lncRNA OXCT1-AS1 promoted bladder cancer cell aggressiveness via miR-455-5p/JAK1 signaling.

Bladder cancer (BCa) is one of the most prevalent cancers of the urinary system worldwide. Accumulating evidence suggests that long noncoding RNAs (lncRNAs) perform a vital function in the pathogenesis and progression of BCa. In the current study, we identified a novel lncRNA OXCT1-AS1 and investigated its role and potential mechanisms in BCa. The microarray results showed the expression of lncRNAs, microRNAs, and messenger RNAs between BCa primary tumor tissues and metastatic lymph nodes were significantly different. The quantitative polymerase chain reaction verification was performed to ensure the reliability of the screening results. The Cell Counting Kit 8 and transwell assay were used to assess the tumor cell proliferation and invasion abilities in vitro, respectively. The dual-luciferase activity assay was performed to investigate the potential mechanism of competing endogenous RNA network. lncRNA OXCT1-AS1, which elevated in metastasis lymph node, was significantly upregulated in BCa cell lines compared with SVHUC-1. We demonstrated OXCT1-AS1 inhibited miR-455-5p to decrease its binding to the JAK1 3'-untranslated region, which could upregulate the expression of JAK1 at the protein level, thus promoting BCa proliferation and invasion. Therefore, lncRNA OXCT1-AS1 could act as a potential biomarker and therapeutic target for patients with BCa.

ISYNA1 is overexpressed in bladder carcinoma and regulates cell proliferation and apoptosis.

BACKGROUND: Bladder cancer (BCa) is one of the most common urological malignancies. While Inositol-3-phosphate synthase 1 (ISYNA1) expression and function were largely unknown in BCa. We aimed to study the expression and role of ISYNA1 in bladder cancer and investigate its potential mechanisms via ingenuity pathway analysis (IPA). METHODS: ISYNA1 expression was quantified by qRT-PCR in bladder cancer cell lines as well as normal urothelial cell line. Knocking down ISYNA1 gene in BCa T24 cells was achieved by shRNA lentivirus transfection. MTT and Celigo assay were used to assess cell proliferation. Flow cytometry was applied to test cell cycle and apoptosis. In addition, IPA was performed using PrimeView™ Human Gene Expression Array. Imunohistochemistry (IHC) was performed in BCa patient tissue microarray to verify the association between ISYNA1 expression and patients' clinicopathological features. RESULTS: ISYNA1 was significantly upregulated in BCa samples vs. para-tumor tissues. Higher expression were significantly associated with tumor T stage and lymph node metastasis of bladder cancer patients. Similarly, it was elevated in BCa cell lines (5637 and T24) compared with SVHUC cells. Knocking down ISYNA1 significantly decreased proliferation, induced apoptosis and cell cycle arrest in T24 cells. Furthermore, IPA indicated that ISYNA1 was an important regulatory factors and related networks were involved in multiple functional processes. CONCLUSION: Taken together, current study suggest ISYNA1 promotes proliferation and inhibit apoptosis in bladder cancer cells, and its expression correlated with BCa patients' clinicopathological features. Thus, ISYNA1 may serve as a potential biomarker and therapeutic target for BCa patients.

Tamsulosin as a Medical Expulsive Therapy for Ureteral Stones: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

PURPOSE: Tamsulosin is widely administered as a medical expulsive therapy to facilitate stone passage in patients with ureteral calculi. Recently several large, multicenter, randomized controlled trials revealed conflicting results, which led to considerable uncertainty about the efficacy of tamsulosin in the management of ureteral stones. The objective of this systematic review and meta-analysis was to evaluate the efficacy and safety of tamsulosin in the management of ureteral stones. MATERIALS AND METHODS: We searched MEDLINE®, Embase®, Web of Knowledge, Google Scholar™ and the Cochrane Central Search Library databases up to June 2018. Two reviewers independently evaluated eligible randomized controlled trials of the efficacy of tamsulosin to treat ureteral stones. Study quality was assessed with the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) system. Subgroup analyses were performed to explore heterogeneity. RESULTS: Included in study were 56 randomized controlled trials in a total of 9,395 patients. The observed treatment effect indicated that tamsulosin was associated with a higher stone expulsion rate (RR 1.44, 95% CI 1.35-1.55, p <0.01), a shorter stone expulsion time (weighted mean difference -0.73, 95% CI -1.00--0.45, p <0.01), a lesser incidence of ureteral colic (weighted mean difference -0.81, 95% CI -1.24--0.39, p <0.01) and fewer incidences of requiring subsequent intervention (RR 0.68, 95% CI 0.50-0.93, p = 0.017). Treatment with tamsulosin did not differ from a control group in the overall incidence of side effects (RR 1.14, 95% CI 0.86-1.51, p = 0.36). On subgroup analysis we observed a significant benefit in the stone expulsion rate for tamsulosin among patients with stones greater than 5 mm (RR 1.44, 95% CI 1.22-1.68, p <0.01) but no effect for stones 5 mm or less (RR 1.08, 95% CI 0.99-1.68, p <0.01). CONCLUSIONS: Our current meta-analysis results indicate that tamsulosin is effective and relatively safe in patients with ureteral stone as a medical expulsive therapy to facilitate stone passage. It is suggested to administer it selectively in patients with 5 to 10 mm ureteral stones.

LncRNA-MALAT1 mediates cisplatin resistance via miR-101-3p/VEGF-C pathway in bladder cancer.

Cisplatin (CDDP)-based chemotherapy is a standard strategy for the clinical treatment of patients with bladder cancer (BC). However, the anti-tumor efficacy of cisplatin is affected by multiple chemoresistance with complex molecular mechanisms. Recent evidence highlights the crucial regulatory roles of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in the progression of cancers and development of drug resistance. However, the roles and underlying molecular mechanisms of MALAT1 in cisplatin resistance of the BC cells remain largely unclear. In this study, we firstly demonstrated that MALAT1 expression was up-regulated in the BC tissues compared to the normal adjacent tissues and elevated in the cancer cells compared to the epithelial immortalized cells. Secondly, we found that suppression of MALAT1 enhanced the chemotherapeutic drug sensitivity and inhibited the cisplatin resistance of the BC cells. Thirdly, we showed that MALAT1 affected the cisplatin resistance of the BC cells via regulating the miR-101-3p/VEGF-C pathway. In summary, this study demonstrates that MALAT1, miR-101-3p and VEGF-C form a regulatory axis to affect the chemo-resistance of BC cells to CDDP, and provides novel potential targets for treatment of BC.

Transition-metal-free decarboxylation of dimethyl malonate: an efficient construction of α-amino acid esters using TBAI/TBHP.

A transition-metal-free decarboxylation coupling process for the preparation of α-amino acid esters, which succeeded in merging hydrolysis/decarboxylation/nucleophilic substitution, is well described. This strategy uses commercially available inexpensive starting materials, catalysts and oxidants and has a wide substrate scope and operational simplicity.

Interception of cobalt-based carbene radicals with α-aminoalkyl radicals: a tandem reaction for the construction of ß-ester-γ-amino ketones.

The interception of cobalt-based carbene radicals with α-aminoalkyl radicals was combined with the Kornblum-DeLaMare reaction and provides ß-ester-γ-amino ketones, which are otherwise difficult to obtain in high chemoselectivity. Mechanistically, this transformation is an interplay of cobalt-based carbene radicals, organoradicals, and ionic intermediates and involves the construction of two C-C bonds and one C=O bond in a one-pot process. The reaction also features a wide substrate scope and is highly efficient and insensitive to moisture and air.

Genetic mapping identifies SNP mutations in MITF-M promoter associated with melanin formation in Putian black duck.

The coloration of plumage in poultry species has substantial economic significance. Putian black ducks encompass 2 distinct strains characterized by black and white plumage variations resulting from selective breeding. This study aimed to identify the molecular mechanisms responsible for plumage coloration in these 2 distinct strains. A comprehensive genome-wide association study was conducted using DNA data sourced from a F2 segregating population, consisting of 71 individuals with black plumage and 39 individuals with white plumage, derived from these distinct 2 strains. This analysis revealed that 894 nucleotide polymorphisms and identified 58 candidate genes. Subsequent Gene Ontology and Kyoto Encyclopedia of Genes and Genomes coenrichment analyses identified MITF as a key candidate gene implicated in melanin biosynthesis. Furthermore, extensive screening of significant polymorphic loci within MITF was carried out via mass spectrometry in 3 distinct populations: 100 individuals with black plumage and 100 individuals with white plumage from the F0 generation; and 50 with black plumage form the F1 generation). Eighteen candidate polymorphic loci were identified demonstrating significant associations with variations in black and white plumage. Notably, 8 of these loci were located within the 2,000 bp region upstream of MITF-M. To validate the critical regulatory role of MITF-M in black and white plumage formation, a dual-fluorescence reporter system was constructed, and dual-fluorescence activity was assessed. The results revealed that the fluorescence activity at wild-type sites (corresponding to black plumage) was significantly higher than that at the mutant-type sites (associated with white plumage) (P < 0.01). To corroborate the pivotal role of MITF-M in black and white plumage formation, qPCR was employed to evaluate the expression levels of various MITF variants in black and white feather bulbs. This analysis demonstrated that only MITF-M exhibited specific expression in black feather bulbs. These results elucidate the central role of polymorphic mutations within the MITF promoter region in the regulation of black and white plumage coloration in Putian black ducks. This study extends our understanding of mechanisms governing duck plumage coloration and provides valuable molecular markers for future research in duck production and breeding based on plumage coloration.

A novel platelet risk score for stratifing the tumor immunophenotypes, treatment responses and prognosis in bladder carcinoma: results from real-world cohorts.

Background: Although the durable efficacy of immune checkpoint inhibitors (ICIs) in BLCA has been confirmed in numerous studies, not all patients benefit from their application in the clinic. Platelets are increasingly being found to be closely associated with cancer progression and metastasis; however, their comprehensive role in BLCA remains unclear. Methods: We comprehensively explored platelet expression patterns in BLCA patients using an integrated set of 244 related genes. Correlations between these platelet patterns with tumor microenvironment (TME) subtypes, immune characteristics and immunotherapy efficacies were explored. In addition, a platelet risk score (PRS) was generated for individual prognosis and verified the ability to predict prognosis, precise TME phenotypes, and immunotherapy efficacies. Results: Genes were clustered into two patterns that represented different TME phenotypes and had the ability to predict immunotherapy efficacy. We constructed a PRS that could predict individual prognosis with satisfactory accuracy using TCGA-BLCA. The results remained consistent when PRS was validated in the GSE32894 and Xiangya cohort. Moreover, we found that our PRS was positively related to tumor-infiltrating lymphocytes (TILs) in the TCGA-BLCA and Xiangya cohort. As expected, patients with higher PRS exhibited more sensitive to immunotherapy than patients with lower PRS. Finally, we discovered that a high PRS indicated a basal subtype of BLCA, whereas a low PRS indicated a luminal subtype. Conclusion: Platelet-related genes could predict TME phenotypes in BLCA. We constructed a PRS that could predict the TME, prognosis, immunotherapy efficacy, and molecular subtypes in BLCA.

A Mild Hyperthermia Hollow Carbon Nanozyme as Pyroptosis Inducer for Boosted Antitumor Immunity.

The immune checkpoint blockade (ICB) antibody immunotherapy has demonstrated clinical benefits for multiple cancers. However, the efficacy of immunotherapy in tumors is suppressed by deficient tumor immunogenicity and immunosuppressive tumor microenvironments. Pyroptosis, a form of programmed cell death, can release tumor antigens, activate effective tumor immunogenicity, and improve the efficiency of ICB, but efficient pyroptosis for tumor treatment is currently limited. Herein, we show a mild hyperthermia-enhanced pyroptosis-mediated immunotherapy based on hollow carbon nanozyme, which can specifically amplify oxidative stress-triggered pyroptosis and synchronously magnify pyroptosis-mediated anticancer responses in the tumor microenvironment. The hollow carbon sphere modified with iron and copper atoms (HCS-FeCu) with multiple enzyme-mimicking activities has been engineered to induce cell pyroptosis via the radical oxygen species (ROS)-Tom20-Bax-Caspase 3-gasdermin E (GSDME) signaling pathway under light activation. Both in vitro and in vivo antineoplastic results confirm the superiority of HCS-FeCu nanozyme-induced pyroptosis. Moreover, the mild photothermal-activated pyroptosis combining anti-PD-1 can enhance antitumor immunotherapy. Theoretical calculations further indicate that the mild photothermal stimulation generates high-energy electrons and enhances the interaction between the HCS-FeCu surface and adsorbed oxygen, facilitating molecular oxygen activation, which improves the ROS production efficiency. This work presents an approach that effectively transforms immunologically "cold" tumors into "hot" ones, with significant implications for clinical immunotherapy.

Prediction of clinically significant prostate cancer using a novel 68Ga-PSMA PET-CT and multiparametric MRI-based model.

Background: There are some limitations in the commonly used methods for the detection of prostate cancer. There is a lack of nomograms based on multiparametric magnetic resonance imaging (mpMRI) and 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography-computed tomography (PET-CT) for the prediction of prostate cancer. The study seeks to compare the performance of mpMRI and 68Ga-PSMA PET-CT, and design a novel predictive model capable of predicting clinically significant prostate cancer (csPCa) before biopsy based on a combination of 68Ga-PSMA PET-CT, mpMRI, and patient clinical parameters. Methods: From September 2020 to June 2021, we prospectively enrolled 112 consecutive patients with no prior history of prostate cancer who underwent both 68Ga-PSMA PET-CT and mpMRI prior to biopsy at our clinical center. Univariate and multivariate regression analyses were used to identify predictors of csPCa, with a predictive model and its nomogram incorporating 68Ga-PSMA PET-CT, mpMRI, and the clinical predictors then being generated. The constructed model was evaluated using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis, and further validated with the internal and external cohorts. Results: The model incorporated prostate-specific antigen density (PSAd), Prostate Imaging Reporting and Data System (PI-RADS) category, and maximum standardized uptake value (SUVmax), and it exhibited excellent predictive efficacy when applying to evaluate both training and validation cohorts [area under the curve (AUC): 0.936 and 0.940, respectively]. Compared with SUVmax alone, the model demonstrated excellent diagnostic performance with improved specificity (0.910, 95% CI: 0.824-0.963) and positive predictive values (0.811, 95% CI: 0.648-0.920). Calibration curve and decision curve analysis further confirmed that the model exhibited a high degree of clinical net benefit and low error rate. Conclusions: The constructed model in this study was capable of accurately predicting csPCa prior to biopsy with excellent discriminative ability. As such, this model has the potential to be an effective non-invasive approach for the diagnosis of csPCa.

Bladder cancer intrinsic LRFN2 drives anticancer immunotherapy resistance by attenuating CD8+ T cell infiltration and functional transition.

BACKGROUND: Immune checkpoint inhibitor (ICI) therapy improves the survival of patients with advanced bladder cancer (BLCA); however, its overall effectiveness is limited, and many patients still develop immunotherapy resistance. The leucine-rich repeat and fibronectin type-III domain-containing protein (LRFN) family has previously been implicated in regulating brain dysfunction; however, the mechanisms underlying the effect of LRFN2 on the tumor microenvironment (TME) and immunotherapy remain unclear. METHODS: Here we combined bulk RNA sequencing, single-cell RNA sequencing, ProcartaPlex multiple immunoassays, functional experiments, and TissueFAXS panoramic tissue quantification assays to demonstrate that LRFN2 shapes a non-inflammatory TME in BLCA. RESULTS: First, comprehensive multiomics analysis identified LRFN2 as a novel immunosuppressive target specific to BLCA. We found that tumor-intrinsic LRFN2 inhibited the recruitment and functional transition of CD8+ T cells by reducing the secretion of pro-inflammatory cytokines and chemokines, and this mechanism was verified in vitro and in vivo. LRFN2 restrained antitumor immunity by inhibiting the infiltration, proliferation, and differentiation of CD8+ T cells in vitro. Furthermore, a spatial exclusivity relationship was observed between LRFN2+ tumor cells and CD8+ T cells and cell markers programmed cell death-1 (PD-1) and T cell factor 1 (TCF-1). Preclinically, LRFN2 knockdown significantly enhanced the efficacy of ICI therapy. Clinically, LRFN2 can predict immunotherapy responses in real-world and public immunotherapy cohorts. Our results reveal a new role for LRFN2 in tumor immune evasion by regulating chemokine secretion and inhibiting CD8+ T-cell recruitment and functional transition. CONCLUSIONS: Thus, LRFN2 represents a new target that can be combined with ICIs to provide a potential treatment option for BLCA.

BCAT2 Shapes a Noninflamed Tumor Microenvironment and Induces Resistance to Anti-PD-1/PD-L1 Immunotherapy by Negatively Regulating Proinflammatory Chemokines and Anticancer Immunity.

To improve response rate of monotherapy of immune checkpoint blockade (ICB), it is necessary to find an emerging target in combination therapy. Through analyzing tumor microenvironment (TME)-related indicators, it is validated that BCAT2 shapes a noninflamed TME in bladder cancer. The outcomes of multiomics indicate that BCAT2 has an inhibitory effect on cytotoxic lymphocyte recruitment by restraining activities of proinflammatory cytokine/chemokine-related pathways and T-cell-chemotaxis pathway. Immunoassays reveal that secretion of CD8+ T-cell-related chemokines keeps a robust negative correlation with BCAT2, generating a decreasing tendency of CD8+ T cells around BCAT2+ tumor cells from far to near. Cotreatment of BCAT2 deficiency and anti-PD-1 antibody has a synergistic effect in vivo, implying the potential of BCAT2 in combination therapy. Moreover, the value of BCAT2 in predicting efficacy of immunotherapy is validated in multiple immunotherapy cohorts. Together, as a key molecule in TME, BCAT2 is an emerging target in combination with ICB and a biomarker of guiding precision therapy.

S100A5 Attenuates Efficiency of Anti-PD-L1/PD-1 Immunotherapy by Inhibiting CD8+ T Cell-Mediated Anti-Cancer Immunity in Bladder Carcinoma.

Although immune checkpoint blockade (ICB) therapies have been approved for bladder cancer (BLCA), only a minority of patients respond to these therapies, and there is an urgent need to explore combined therapies. Systematic multi-omics analysis identified S100A5 as a novel immunosuppressive target for BLCA. The expression of S100A5 in malignant cells inhibited CD8+ T cell recruitment by decreasing pro-inflammatory chemokine secretion. Furthermore, S100A5 attenuated effector T cell killing of cancer cells by inhibiting CD8+ T cell proliferation and cytotoxicity. In addition, S100A5 acted as an oncogene, thereby promoting tumor proliferation and invasion. Targeting S100A5 synergized with the efficacy of anti-PD-1 treatment by enhancing infiltration and cytotoxicity of CD8+ T cells in vivo. Clinically, there was a spatially exclusive relationship between S100A5+ tumor cells and CD8+ T cells in tissue microarrays. Moreover, S100A5 negatively correlated with immunotherapy efficacy in our real-world and several public immunotherapy cohorts. In summary, S100A5 shapes a non-inflamed tumor microenvironment in BLCA by inhibiting the secretion of pro-inflammatory chemokines and the recruitment and cytotoxicity of CD8+ T cells. Targeting S100A5 converts cold tumors into hot tumors, thus enhancing the efficacy of ICB therapy in BLCA.

TGFß-Associated Signature Predicts Prognosis and Tumor Microenvironment Infiltration Characterization in Gastric Carcinoma.

Background: Gastric carcinoma (GC) is a carcinoma with a high incidence rate, and it is a deadly carcinoma globally. An effective tool, that is, able to predict different survival outcomes for GC patients receiving individualized treatments is deeply needed. Methods: In total, data from 975 GC patients were collected from TCGA-STAD, GSE15459, and GSE84437. Then, we performed a comprehensive unsupervised clustering analysis based on 54 TGFß-pathway-related genes and correlated these patterns with tumor microenvironment (TME) cell-infiltrating characteristics. WGCNA was then applied to find the module that had the closest relation with these patterns. The least absolute shrinkage and selection operator (LASSO) algorithm was combined with cross validation to narrow down variables and random survival forest (RSF) was used to create a risk score. Results: We identified two different TGFß regulation patterns and named them as TGFß Cluster 1 and Cluster 2. TGFß Cluster 1 was linked to significantly poorer survival outcomes and represented an inflamed TME subtype of GC. Using WGCNA, a module (magenta) with the closest association with the TGFß clusters was identified. After narrowing down the gene list by univariate Cox regression analysis, the LASSO algorithm and cross validation, four of the 243 genes in the magenta module were applied to build a risk score. The group with a higher risk score exhibited a considerably poorer survival outcome with high predictive accuracy. The risk score remained an independent risk factor in multivariate Cox analysis. Moreover, we validated this risk score using GSE15459 and GSE84437. Furthermore, we found that the group with a higher risk score represented an inflamed TME according to the evidence that the risk score was remarkably correlated with several steps of cancer immunity cycles and a majority of the infiltrating immune cells. Consistently, the risk score was significantly related to immune checkpoint genes and T cell-inflamed gene expression profiles (GEPs), indicating the value of predicting immunotherapy. Conclusions: We have developed and validated a TGFß-associated signature, that is, capable of predicting the survival outcome as well as depicting the TME immune characteristics of GC. In summary, this signature may contribute to precision medicine for GC.

A hypoxia risk score for prognosis prediction and tumor microenvironment in adrenocortical carcinoma.

Background: Adrenocortical carcinoma (ACC) is a rare malignant endocrine tumor derived from the adrenal cortex. Because of its highly aggressive nature, the prognosis of patients with adrenocortical carcinoma is not impressive. Hypoxia exists in the vast majority of solid tumors and contributes to invasion, metastasis, and drug resistance. This study aimed to reveal the role of hypoxia in Adrenocortical carcinoma and develop a hypoxia risk score (HRS) for Adrenocortical carcinoma prognostic prediction. Methods: Hypoxia-related genes were obtained from the Molecular Signatures Database. The training cohorts of patients with adrenocortical carcinoma were downloaded from The Cancer Genome Atlas, while another three validation cohorts with comprehensive survival data were collected from the Gene Expression Omnibus. In addition, we constructed a hypoxia classifier using a random survival forest model. Moreover, we explored the relationship between the hypoxia risk score and immunophenotype in adrenocortical carcinoma to evaluate the efficacy of immune check inhibitors (ICI) therapy and prognosis of patients. Results: HRS and tumor stage were identified as independent prognostic factors. HRS was negatively correlated with immune cycle activity, immune cell infiltration, and the T cell inflammatory score. Therefore, we considered the low hypoxia risk score group as the inflammatory immunophenotype, whereas the high HRS group was a non-inflammatory immunophenotype. In addition, the HRS was negatively related to the expression of common immune checkpoint molecules such as PD-L1, CD200, CTLA-4, and TIGIT, suggesting that patients with a lower hypoxia risk score respond better to immunotherapy. Conclusion: We developed and validated a novel hypoxia risk score to predict the immunophenotype and response of patients with adrenocortical carcinoma to immune check inhibitors therapy. These findings not only provide fresh prognostic indicators for adrenocortical carcinoma but also offer several promising treatment targets for this disease.

Cuproptosis depicts tumor microenvironment phenotypes and predicts precision immunotherapy and prognosis in bladder carcinoma.

Background: Though immune checkpoint inhibitors (ICIs) exhibit durable efficacy in bladder carcinomas (BLCAs), there are still a large portion of patients insensitive to ICIs treatment. Methods: We systematically evaluated the cuproptosis patterns in BLCA patients based on 46 cuproptosis related genes and correlated these cuproptosis patterns with tumor microenvironment (TME) phenotypes and immunotherapy efficacies. Then, for individual patient's evaluation, we constructed a cuproptosis risk score (CRS) for prognosis and a cuproptosis signature for precise TME phenotypes and immunotherapy efficacies predicting. Results: Two distinct cuproptosis patterns were generated. These two patterns were consistent with inflamed and noninflamed TME phenotypes and had potential role for predicting immunotherapy efficacies. We constructed a CRS for predicting individual patient's prognosis with high accuracy in TCGA-BLCA. Importantly, this CRS could be well validated in external cohorts including GSE32894 and GSE13507. Then, we developed a cuproptosis signature and found it was significantly negative correlated with tumor-infiltrating lymphocytes (TILs) both in TCGA-BLCA and Xiangya cohorts. Moreover, we revealed that patients in the high cuproptosis signature group represented a noninflamed TME phenotype on the single cell level. As expected, patients in the high cuproptosis signature group showed less sensitive to immunotherapy. Finally, we found that the high and low cuproptosis signature groups were consistent with luminal and basal subtypes of BLCA respectively, which validated the role of signature in TME in terms of molecular subtypes. Conclusions: Cuproptosis patterns depict different TME phenotypes in BLCA. Our CRS and cuproptosis signature have potential role for predicting prognosis and immunotherapy efficacy, which might guide precise medicine.