Impact Pressure Characteristics of Carbon Dioxide Phase Transition Fracturing Technique.

Carbon dioxide phase transition fracturing (CDPTF) is widely regarded as a promising coal seam mining technique because it can effectively improve coal seam permeability and prevent gas outbursts. An impact pressure test system of CDPTF was developed, and the effects of different factors on impact pressure were investigated by combining CO2 release experiments and smoothed particle hydrodynamics numerical simulation. In addition, based on the Peng-Robinson equation and the pipeline pressure drop formula, new mathematical models for the pressure equation in the buffer tank and the velocity of gaseous CO2 at the nozzle were established. The results show that the impact pressure of CDPTF can be divided into rapid boost, fluctuation, and attenuation stages. The impact distance and impact angle have the most significant effects on pressure. The models of the pressure in the buffer tank and the velocity of gaseous CO2 at the nozzle well-simulated the experimentally obtained impact pressure curves. The research results could provide a reference for the loading study of CDPTF.

An overview and comprehensive analysis of interdisciplinary clinical research in endometriosis based on trial registry.

Endometriosis is a chronic multisystem disease associated with immunological, genetic, hormonal, psychological, and neuroscientific factors, leading to a significant socioeconomic impact worldwide. Though multidisciplinary management is the ideal approach, there remains a scarcity of published interdisciplinary clinical trials at present. Here, we have conducted a comprehensive analysis of the characteristics and issues of interdisciplinary trials on endometriosis based on the clinical registration database ClinicalTrials.gov. Among all 387 endometriosis trials, 30% (116) were identified as interdisciplinary, mostly conducted in Europe and North America, and fully funded by non-industrial sources. We documented growth in both patient-centered multidisciplinary comprehensive management and collaboration between fundamental biomedical science and applied medicine. However, compared to traditional obstetric-gynecological trials, interdisciplinary studies exhibited negative characteristics such as less likely to be randomized and less likely to report results. Our study provides insights for future trial investigators and may contribute to fostering greater collaboration in medical research.

Activation of ERß hijacks the splicing machinery to trigger R-loop formation in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with aggressive behavior and poor prognosis. Current therapeutic options available for TNBC patients are primarily chemotherapy. With our evolving understanding of this disease, novel targeted therapies, including poly ADP-ribose polymerase (PARP) inhibitors, antibody-drug conjugates, and immune-checkpoint inhibitors, have been developed for clinical use. Previous reports have demonstrated the essential role of estrogen receptor ß (ERß) in TNBC, but the detailed molecular mechanisms downstream ERß activation in TNBC are still far from elucidated. In this study, we demonstrated that a specific ERß agonist, LY500307, potently induces R-loop formation and DNA damage in TNBC cells. Subsequent interactome experiments indicated that the residues 151 to 165 of U2 small nuclear RNA auxiliary factor 1 (U2AF1) and the Trp439 and Lys443 of ERß were critical for the binding between U2AF1 and ERß. Combined RNA sequencing and ribosome sequencing analysis demonstrated that U2AF1-regulated downstream RNA splicing of 5-oxoprolinase (OPLAH) could affect its enzymatic activity and is essential for ERß-induced R-loop formation and DNA damage. In clinical samples including 115 patients from The Cancer Genome Atlas (TCGA) and 32 patients from an in-house cohort, we found a close correlation in the expression of ESR2 and U2AF1 in TNBC patients. Collectively, our study has unraveled the molecular mechanisms that explain the therapeutic effects of ERß activation in TNBC, which provides rationale for ERß activation-based single or combined therapy for patients with TNBC.

Lymphatic endothelial-like cells promote glioblastoma stem cell growth through cytokine-driven cholesterol metabolism.

Glioblastoma is the most lethal primary brain tumor with glioblastoma stem cells (GSCs) atop a cellular hierarchy. GSCs often reside in a perivascular niche, where they receive maintenance cues from endothelial cells, but the role of heterogeneous endothelial cell populations remains unresolved. Here, we show that lymphatic endothelial-like cells (LECs), while previously unrecognized in brain parenchyma, are present in glioblastomas and promote growth of CCR7-positive GSCs through CCL21 secretion. Disruption of CCL21-CCR7 paracrine communication between LECs and GSCs inhibited GSC proliferation and growth. LEC-derived CCL21 induced KAT5-mediated acetylation of HMGCS1 on K273 in GSCs to enhance HMGCS1 protein stability. HMGCS1 promoted cholesterol synthesis in GSCs, favorable for tumor growth. Expression of the CCL21-CCR7 axis correlated with KAT5 expression and HMGCS1K273 acetylation in glioblastoma specimens, informing patient outcome. Collectively, glioblastomas contain previously unrecognized LECs that promote the molecular crosstalk between endothelial and tumor cells, offering potentially alternative therapeutic strategies.

Harnessing tumor immunogenomics: Tumor neoantigens in ovarian cancer and beyond.

Ovarian cancer is a major cause of death among gynecological cancers due to its highly aggressive nature. Immunotherapy has emerged as a promising avenue for ovarian cancer treatment, offering targeted approaches with reduced off-target effects. With the advent of next-generation sequencing, it has become possible to identify genomic alterations that can serve as potential targets for immunotherapy. Furthermore, immunogenomics research has revealed the importance of genetic alterations in shaping the cancer immune responses. However, the heterogeneity of immunogenicity and the low tumor mutation burden pose challenges for neoantigen-based immunotherapies. Further research is needed to identify neoantigen-specific tumor-infiltrating lymphocytes (TIL) and establish guidelines for patient inclusion criteria in TIL-based therapy. The study of neoantigens and their implications in ovarian cancer immunotherapy holds great promise, and efforts focused on personalized treatment strategies, refined neoantigen selection, and optimized therapeutic combinations will contribute to improving patient outcomes in the future.

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology.

As data-driven science, artificial intelligence (AI) has paved a promising path toward an evolving health system teeming with thrilling opportunities for precision oncology. Notwithstanding the tremendous success of oncological AI in such fields as lung carcinoma, breast tumor and brain malignancy, less attention has been devoted to investigating the influence of AI on gynecologic oncology. Hereby, this review sheds light on the ever-increasing contribution of state-of-the-art AI techniques to the refined risk stratification and whole-course management of patients with gynecologic tumors, in particular, cervical, ovarian and endometrial cancer, centering on information and features extracted from clinical data (electronic health records), cancer imaging including radiological imaging, colposcopic images, cytological and histopathological digital images, and molecular profiling (genomics, transcriptomics, metabolomics and so forth). However, there are still noteworthy challenges beyond performance validation. Thus, this work further describes the limitations and challenges faced in the real-word implementation of AI models, as well as potential solutions to address these issues.

Single-port robotic surgery using the EDGE SP1000 surgical system in gynaecology: Initial experience of a single institution.

BACKGROUND: The EDGE SP1000 is a newly developed single-port (SP) robotic surgical system whose clinical evaluation in gynaecology has not yet been addressed. METHODS: This is a single-arm clinical trial evaluating the perioperative outcomes of patients receiving EDGE SP1000 assisted surgeries. Patients with either benign or malignant gynaecological diseases suitable for robotic surgery were included, and their data were prospectively collected. RESULTS: Eighteen patients were included and 8 of them had malignant conditions. The total operative time was 190.1 ± 83.3 min for benign diseases and 254.4 ± 59.4 min for malignant diseases. The mean estimated blood loss was 25 mL (range, 5-100). No assistant ports or conversions were required. No perioperative complications occurred. Overall satisfaction with the umbilical wounds was expressed at the 1-month follow-up. CONCLUSION: EDGE SP1000 SP robotic surgical system is technically feasible and safe in various gynaecological surgeries with good cosmetic effects.

Understanding endometriosis from an immunomicroenvironmental perspective.

ABSTRACT: Endometriosis, a heterogeneous, inflammatory, and estrogen-dependent gynecological disease defined by the presence and growth of endometrial tissues outside the lining of the uterus, affects approximately 5-10% of reproductive-age women, causing chronic pelvic pain and reduced fertility. Although the etiology of endometriosis is still elusive, emerging evidence supports the idea that immune dysregulation can promote the survival and growth of retrograde endometrial debris. Peritoneal macrophages and natural killer (NK) cells exhibit deficient cytotoxicity in the endometriotic microenvironment, leading to inefficient eradication of refluxed endometrial fragments. In addition, the imbalance of T-cell subtypes results in aberrant cytokine production and chronic inflammation, which contribute to endometriosis development. Although it remains uncertain whether immune dysregulation represents an initial cause or merely a secondary enhancer of endometriosis, therapies targeting altered immune pathways exhibit satisfactory effects in preventing disease onset and progression. Here, we summarize the phenotypic and functional alterations of immune cells in the endometriotic microenvironment, focusing on their interactions with microbiota and endocrine and nervous systems, and how these interactions contribute to the etiology and symptomology of endometriosis.

A New Type of Endometrial Cancer Models in Mice Revealing the Functional Roles of Genetic Drivers and Exploring their Susceptibilities.

Endometrial cancer (EC) is the most common female reproductive tract cancer and its incidence has been continuously increasing in recent years. The underlying mechanisms of EC tumorigenesis remain unclear, and efficient target therapies are lacking, for both of which feasible endometrial cancer animal models are essential but currently limited. Here, an organoid and genome editing-based strategy to generate primary, orthotopic, and driver-defined ECs in mice is reported. These models faithfully recapitulate the molecular and pathohistological characteristics of human diseases. The authors names these models and similar models for other cancers as organoid-initiated precision cancer models (OPCMs). Importantly, this approach can conveniently introduce any driver mutation or a combination of driver mutations. Using these models,it is shown that the mutations in Pik3ca and Pik3r1 cooperate with Pten loss to promote endometrial adenocarcinoma in mice. In contrast, the Kras G12D mutati led to endometrial squamous cell carcinoma. Then, tumor organoids are derived from these mouse EC models and performed high-throughput drug screening and validation. The results reveal distinct vulnerabilities of ECs with different mutations. Taken together, this study develops a multiplexing approach to model EC in mice and demonstrates its value for understanding the pathology of and exploring the potential treatments for this malignancy.

The prognosis of patients with small cell carcinoma of the cervix: a retrospective study of the SEER database and a Chinese multicentre registry.

BACKGROUND: Small cell carcinoma of the cervix is a rare but poor prognosis pathological type of cervical cancer, for which advice in clinical guidelines is unspecific. We therefore aimed to investigate the factors and treatment methods that affect the prognosis of patients with small cell carcinoma of the cervix. METHODS: In this retrospective study, we collected data from the Surveillance, Epidemiology, and End Results (SEER) 18 registries cohort and a Chinese multi-institutional registry. The SEER cohort included females diagnosed with small cell carcinoma of the cervix between Jan 1, 2000, and Dec 31, 2018, whereas the Chinese cohort included women diagnosed between Jun 1, 2006, and April 30, 2022. In both cohorts, eligibility was limited to female patients older than 20 years with a confirmed diagnosis of small cell carcinoma of the cervix. Participants who were lost to follow-up or those for whom small cell carcinoma of the cervix was not the primary malignant tumour were excluded from the multi-institutional registry, and those with an unknown surgery status (in addition to those for whom small cell carcinoma of the cervix was not the primary malignant tumour) were excluded from the SEER data. The primary outcome of this study was overall survival (length of time from the date of first diagnosis until the date of death from any cause, or the last follow-up). Kaplan-Meier analysis, propensity score matching, and Cox-regression analyses were used to assess treatment outcomes and risk factors. FINDINGS: 1288 participants were included in the study; 610 in the SEER cohort and 678 in the Chinese cohort. Both univariable and multivariable Cox regression analysis (SEER hazard ratio [HR] 0·65 [95% CI 0·48-0·88], p=0·0058; China HR 0·53 [0·37-0·76], p=0·0005) showed that surgery was associated with a better prognosis. In subgroup analyses, surgery remained a protective factor for patients with locally advanced disease in both cohorts (SEER HR 0·61 [95% CI 0·39-0·94], p=0·024; China HR 0·59 [0·37-0·95]; p=0·029). Furthermore, the protective effect of surgery was observed among patients with locally advanced disease after propensity score matching in the SEER cohort (HR 0·52 [95% CI 0·32-0·84]; p=0·0077). In the China registry, surgery was associated with better outcomes in patients with stage IB3-IIA2 cancer (HR 0·17 [95% CI 0·05-0·50]; p=0·0015). INTERPRETATION: This study provides evidence that surgery improves outcomes of patients with small cell carcinoma of the cervix. Although guidelines recommend non-surgical methods as first-line treatment, patients with locally advanced disease or stage IB3-IIA2 cancer might benefit from surgery. FUNDING: The National Key R&D Program of China and the National Natural Science Foundation of China.

[Latest Findings on the Function of Immune Metabolism in Tumor Immunity].

Metabolic reprogramming, an important hallmark of cancer, helps cancer achieve rapid proliferation. Metabolic changes in tumors regulate multiple metabolic pathways of immune cells, thereby suppressing antitumor immunity. Recent studies have been focused on in-depth investigation into the changes in the metabolism of glucose, amino acids, and lipids. Researchers have also conducted in-depth exploration of the interactive metabolic regulation of tumor cells and immune cells. Targeting various metabolic mechanisms while combining available anti-tumor therapies and enhancing the anti-tumor effects of immunotherapy by satisfying the metabolic demands of immune cells has offered new perspectives for therapies targeting the immune metabolism of tumors and enhancing anti-tumor immune responses. Studies on novel immune checkpoint molecules and cellular immunotherapies are also ongoing. Herein, we reviewed the latest findings on the mechanisms of immune metabolism underlying tumor immunosuppression and their application in immunotherapy. We also suggested some ideas for the future development of the regulation of immune metabolism.

Proteomics mining of cancer hallmarks on a single-cell resolution.

Dysregulated proteome is an essential contributor in carcinogenesis. Protein fluctuations fuel the progression of malignant transformation, such as uncontrolled proliferation, metastasis, and chemo/radiotherapy resistance, which severely impair therapeutic effectiveness and cause disease recurrence and eventually mortality among cancer patients. Cellular heterogeneity is widely observed in cancer and numerous cell subtypes have been characterized that greatly influence cancer progression. Population-averaged research may not fully reveal the heterogeneity, leading to inaccurate conclusions. Thus, deep mining of the multiplex proteome at the single-cell resolution will provide new insights into cancer biology, to develop prognostic biomarkers and treatments. Considering the recent advances in single-cell proteomics, herein we review several novel technologies with particular focus on single-cell mass spectrometry analysis, and summarize their advantages and practical applications in the diagnosis and treatment for cancer. Technological development in single-cell proteomics will bring a paradigm shift in cancer detection, intervention, and therapy.

Integrative multi-omics approaches to explore immune cell functions: Challenges and opportunities.

As modern biological sciences evolve from investigation of individual molecules and pathways to growing emphasis on global and systems-based processes, increasing efforts have focused on combining the study of genomics with that of the other omics technologies, including epigenomics, transcriptomics, quantitative proteomics, global analyses of post-translational modifications (PTMs) and metabolomics, to characterize specific biological or pathological processes. In addition, emerging genome-wide functional screening technologies further help researchers identify key regulators of immune functions. Derived from these multi-omics technologies, single cell sequencing analysis on multiple layers offers an overview of intra-tissue or intra-organ immune cell heterogeneity. In this review, we summarize advances in multi-omics tools to explore immune cell functions and applications of these multi-omics approaches in the analysis of clinical immune disorders, aiming to provide an outlook on the potential opportunities and challenges that these technologies pose in future investigation in the field of immunology.

Multi-omics characterization of silent and productive HPV integration in cervical cancer.

Cervical cancer (CC) that is caused by high-risk human papillomavirus (HPV) remains a significant public health problem worldwide. HPV integration sites can be silent or actively transcribed, leading to the production of viral-host fusion transcripts. Herein, we demonstrate that only productive HPV integration sites were nonrandomly distributed across both viral and host genomes, suggesting that productive integration sites are under selection and likely to contribute to CC pathophysiology. Furthermore, using large-scale, multi-omics (clinical, genomic, transcriptional, proteomic, phosphoproteomic, and single-cell) data, we demonstrate that tumors with productive HPV integration are associated with higher E6/E7 proteins and enhanced tumor aggressiveness and immunoevasion. Importantly, productive HPV integration increases from carcinoma in situ to advanced disease. This study improves our understanding of the functional consequences of HPV fusion transcripts on the biology and pathophysiology of HPV-driven CCs, suggesting that productive HPV integration should be evaluated as an indicator of high risk for progression to aggressive cancers.

Targeting Microglial Metabolic Rewiring Synergizes with Immune-Checkpoint Blockade Therapy for Glioblastoma.

Glioblastoma (GBM) constitutes the most lethal primary brain tumor for which immunotherapy has provided limited benefit. The unique brain immune landscape is reflected in a complex tumor immune microenvironment (TIME) in GBM. Here, single-cell sequencing of the GBM TIME revealed that microglia were under severe oxidative stress, which induced nuclear receptor subfamily 4 group A member 2 (NR4A2)-dependent transcriptional activity in microglia. Heterozygous Nr4a2 (Nr4a2+/-) or CX3CR1+ myeloid cell-specific Nr4a2 (Nr4a2fl/flCx3cr1Cre) genetic targeting reshaped microglia plasticity in vivo by reducing alternatively activated microglia and enhancing antigen presentation capacity for CD8+ T cells in GBM. In microglia, NR4A2 activated squalene monooxygenase (SQLE) to dysregulate cholesterol homeostasis. Pharmacologic NR4A2 inhibition attenuated the protumorigenic TIME, and targeting the NR4A2 or SQLE enhanced the therapeutic efficacy of immune-checkpoint blockade in vivo. Collectively, oxidative stress promotes tumor growth through NR4A2-SQLE activity in microglia, informing novel immune therapy paradigms in brain cancer. SIGNIFICANCE: Metabolic reprogramming of microglia in GBM informs synergistic vulnerabilities for immune-checkpoint blockade therapy in this immunologically cold brain tumor. This article is highlighted in the In This Issue feature, p. 799.

Metabolic hallmarks of natural killer cells in the tumor microenvironment and implications in cancer immunotherapy.

Natural killer (NK) cells belong to the early responder group against cancerous cells and viral infection. Emerging evidence reveals that distinct metabolic reprogramming occurs concurrently with activation and memory formation of NK cells. However, metabolism of NK cells is disturbed in the tumor immune microenvironment, which may promote tumor progression while limiting immunotherapy responses. In this review, we highlight how cell metabolism influences NK cell activity, the key molecular regulators of NK cell metabolism, and emerging strategies to alter metabolism to improve cytotoxicity of NK cells to kill tumor cells for cancer patients.

B-cell receptor repertoire sequencing: Deeper digging into the mechanisms and clinical aspects of immune-mediated diseases.

B cells play an essential role in adaptive immunity and are intimately correlated with pleiotropic immune-mediated diseases. Each B cell occupies a unique B cell receptor (BCR), and all BCRs throughout our body form "BCR repertoire." With the development of sequencing technology and coupled bioinformatics, accumulating evidence indicates that BCR repertoire largely varies under physiological and pathological conditions. Therefore, comprehensive grasp of BCR repertoire will provide new insights into the pathogenesis of immune-mediated diseases and help exploit efficient diagnostic and treatment strategies. In this review, we start with an overview of BCR repertoire and related sequencing technologies and summarize their current applications in immune-mediated diseases. We also underscore the challenges of this emerging field and propose promising future directions in advancing BCR repertoire exploration.

Crosstalk between m6A regulators and mRNA during cancer progression.

m6A modification, the most abundant and widespread RNA modification, is present and involved in the occurrence and development of various cancers. To date, most studies have mainly focused on the roles of a single m6A regulator (writer/eraser/reader) in various cancers, but cumulative evidence shows that aberrant m6A regulators and m6A levels exert dual effects (promoting and/or inhibiting roles) in cancer progression. Recently, studies have investigated the direct interactions between different m6A regulators (writer/eraser and reader) and mRNAs in a variety of cancers. In this review, we summarize the functions of m6A regulators and their roles in various types of cancers. We further propose the possible crosstalk mechanisms (Writer-m6A-Reader-mRNA axis and Eraser-m6A-Reader-mRNA axis) between different m6A regulators and mRNAs during cancer progression. We also discuss the clinical potential of m6A regulator­targeting strategies.