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Abstract Background and aim Appendiceal adenocarcinoma, an exceedingly rare malignancy, sparks debate on the optimal surgical approach—appendectomy or right hemicolectomy—for early-stage cases. This study aims to investigate the impact of these two surgical methods on the survival prognosis of patients with early appendiceal adenocarcinoma. Method Utilizing a multicenter medical database, we gathered data from 168 patients diagnosed with T1 stage appendiceal adenocarcinoma admitted between January 2008 and January 2015. This study aims to compare the impact of different treatment modalities on the prognosis of appendiceal adenocarcinoma in these two groups. Result In patients diagnosed with T1 appendiceal adenocarcinoma, the survival prognosis was not significantly improved with right hemicolectomy compared to appendectomy. Out of one hundred twenty-seven patients undergoing right colon resection, only three exhibited lymphatic metastasis, resulting in a rate of 2.3%. Conclusion Simple appendectomy can fulfill the objective of achieving radical tumor resection, rendering right hemicolectomy unnecessary.

Abstract Background Data on long-term cancer survivors treated with apatinib are lacking. This study aimed to describe the characteristics of long-term cancer survivors after apatinib-based therapy, and to know about their satisfaction degree with apatinib and severity of depression and insomnia. Methods Patients with solid tumors who had received apatinib-based therapy for at least 5 years were invited to complete an online questionnaire. Characteristics of patients and treatment, knowledge of apatinib, satisfaction degree, and severity of depression and insomnia assessed by Patient Health Questionnaire-9 and Insomnia Severity Index were collected. Results Between December 8, 2023 and March 1, 2024, a total of 436 patients completed the online questionnaire. Most patients were satisfied with the efficacy (96.6%) and safety (93.1%) of apatinib, were willing to continue apatinib treatment (99.5%), and would recommend apatinib to other patients (93.3%). Continuous apatinib treatment resulted in significant negative impact on daily life, work, or study in only two (0.5%) patients. Almost all patients currently had no or mild depression (97.0%) and insomnia (97.9%) problems. The most common patient-reported adverse events were hand-foot syndrome (21.3%) and hypertension (18.3%). Conclusions Our survey showed a high satisfaction degree with apatinib in long-term cancer survivors. Long-term apatinib treatment resulted in almost no negative impact on patient’s quality of life.

Abstract Background The combination of targeted therapy and immunotherapy has improved the clinical outcomes of unresectable hepatocellular Carcinoma (HCC). However, the overall prognosis remains suboptimal. This study aims to evaluate the efficacy and safety of a novel combination of radiofrequency ablation (RFA) with lenvatinib plus sintilimab in unresectable HCC. Methods In this retrospective study, patients diagnosed with unresectable HCC were included and divided into two cohorts: RFA combined with lenvatinib plus sintilimab (R-L-S group) and lenvatinib plus sintilimab (L-S group). The primary efficacy endpoints were objective response rate (ORR) and progression free survival (PFS). Adverse events were analyzed to assess the safety profiles. Results The median follow-up periods for the entire cohort were 14.0 months. The R-L-S group (n = 60) had a significantly higher ORR than those with L-S alone (n = 62) (40.0% vs. 20.9%; p = 0.022). Moreover, patients in the R-L-S group had improved median PFS (12 vs. 8 months; p = 0.013) and median overall survival (24 vs. 18 months; p = 0.037), as compared with lenvatinib and sintilimab alone. No significant difference in treatment related adverse event (TRAE) of any grade between the two groups. The most common TRAEs of grade ≥ 3 were fatigue 10.0% (6/60) and hand-foot skin reaction 10.0% (6/60) in the R-L-S group and hand-foot skin reaction 11.3% (7/62) in the L-S group. Conclusion In unresectable HCC patients, the incorporation of RFA to lenvatinib plus sintilimab demonstrated improved efficacy without compromising safety compared with lenvatinib plus sintilimab alone.

Hepatocellular carcinoma (HCC), commonly known as primary liver cancer, is a major cause of malignant tumors and cancer-related deaths in China, accounting for approximately 85% of all cancer cases in the country. Several guidelines have been used to diagnose and treat liver cancer. However, these guidelines provide a broad definition for classifying advanced liver cancer, with an emphasis on a singular approach, without considering treatment options for individual patients. Therefore, it is necessary to establish a comprehensive and practical expert consensus, specifically for China, to enhance the diagnosis and treatment of HCC using the Delphi method. The classification criteria were refined for Chinese patients with HCC, and the corresponding optimal treatment regimen recommendations were developed. These recommendations took into account various factors, including tumor characteristics, vascular tumor thrombus grade, distant metastasis, liver function status, portal hypertension, and the hepatitis B virus replication status of patients with primary HCC, along with treatment prognosis. The findings and recommendations provide detailed, scientific, and reasonable individualized diagnosis and treatment strategies for clinicians.

Abstract Salvia miltiorrhiza is commonly used as a Chinese herbal medicine to treat different cardiovascular and cerebrovascular illnesses due to its active ingredients. Environmental conditions, especially drought stress, can affect the yield and quality of S. miltiorrhiza. However, moderate drought stress could improve the quality of S. miltiorrhiza without significantly reducing the yield, and the mechanism of this initial drought resistance is still unclear. In our study, transcriptome and metabolome analyses of S. miltiorrhiza under different drought treatment groups (CK, A, B, and C groups) were conducted to reveal the basis for its drought tolerance. We discovered that the leaves of S. miltiorrhiza under different drought treatment groups had no obvious shrinkage, and the malondialdehyde (MDA) contents as well as superoxide dismutase (SOD) and peroxidase (POD) activities dramatically increased, indicating that our drought treatment methods were moderate, and the leaves of S. miltiorrhiza began to initiate drought resistance. The morphology of root tissue had no significant change under different drought treatment groups, and the contents of four tanshinones significantly enhanced. In all, 5213, 6611, and 5241 differentially expressed genes (DEGs) were shared in the A, B, and C groups compared with the CK group, respectively. The results of KEGG and co-expression analysis showed that the DEGs involved in plant-pathogen interactions, the MAPK signaling pathway, phenylpropanoid biosynthesis, flavonoid biosynthesis, and plant hormone signal transduction responded to drought stress and were strongly correlated with tanshinone biosynthesis. Furthermore, the results of metabolism analysis indicated that 67, 72, and 92 differentially accumulated metabolites (DAMs), including fumarate, ferulic acid, xanthohumol, and phytocassanes, which were primarily involved in phenylpropanoid biosynthesis, flavonoid biosynthesis, and diterpenoid biosynthesis pathways, were detected in these groups. These discoveries provide valuable information on the molecular mechanisms by which S. miltiorrhiza responds to drought stress and will facilitate the development of drought-resistant and high-quality S. miltiorrhiza production.

Abstract Unenhanced CT scans exhibit high specificity in detecting moderate-to-severe hepatic steatosis. Even though many CTs are scanned from health screening and various diagnostic contexts, their potential for hepatic steatosis detection has largely remained unexplored. The accuracy of previous methodologies has been limited by the inclusion of non-parenchymal liver regions. To overcome this limitation, we present a novel deep-learning (DL) based method tailored for the automatic selection of parenchymal portions in CT images. This innovative method automatically delineates circular regions for effectively detecting hepatic steatosis. We use 1,014 multinational CT images to develop a DL model for segmenting liver and selecting the parenchymal regions. The results demonstrate outstanding performance in both tasks. By excluding non-parenchymal portions, our DL-based method surpasses previous limitations, achieving radiologist-level accuracy in liver attenuation measurements and hepatic steatosis detection. To ensure the reproducibility, we have openly shared 1014 annotated CT images and the DL system codes. Our novel research contributes to the refinement the automated detection methodologies of hepatic steatosis on CT images, enhancing the accuracy and efficiency of healthcare screening processes.

Abstract Objectives Ottelia Pers. is in the Hydrocharitaceae family. Species in the genus are aquatic, and China is their centre of origin in Asia. Ottelia alismoides (L.) Pers., which is distributed worldwide, is a distinguishing element in China, while other species of this genus are endemic to China. However, O. alismoides is also considered endangered due to habitat loss and pollution in some Asian countries. Ottelia alismoides is the only submerged macrophyte that contains three carbon dioxide-concentrating mechanisms, i.e. bicarbonate (HCO3 −) use, crassulacean acid metabolism and the C4 pathway. In this study, we present its first genome assembly to help illustrate the various carbon metabolism mechanisms and to enable genetic conservation in the future. Data description Using DNA and RNA extracted from one O. alismoides leaf, this work produced ∼ 73.4 Gb HiFi reads, ∼ 126.4 Gb whole genome sequencing short reads and ∼ 21.9 Gb RNA-seq reads. The de novo genome assembly was 6,455,939,835 bp in length, with 11,923 scaffolds/contigs and an N50 of 790,733 bp. Genome assembly completeness assessment with Benchmarking Universal Single-Copy Orthologs revealed a score of 94.4%. The repetitive sequence in the assembly was 4,875,817,144 bp (75.5%). A total of 116,176 genes were predicted. The protein sequences were functionally annotated against multiple databases, facilitating comparative genomic analysis.

UBE2C is overexpressed in gliomas, and its overexpression has been reported to be correlated with the drug resistance of gliomas to some extent. In this study, we explore the role of UBE2C in regulating temozolomide (TMZ) resistance in glioma and investigate the underlying mechanisms involved. Twenty normal brain tissues and 100 glioma tissues from 50 TMZ-resistant patients and 50 TMZ-sensitive patients are included in this study. TMZ-resistant cell lines are constructed to explore the role of UBE2C in regulating glioma cell viability and TMZ resistance. Our results show that both the mRNA and protein levels of UBE2C are significantly elevated in the brain tissues of glioma patients, especially in those of TMZ-resistant patients. Consistently, UBE2C expression is markedly upregulated in TMZ-resistant cell lines. Overexpression of UBE2C rescues glioma cells from TMZ-mediated apoptosis and enhances cell viability. In contrast, downregulation of UBE2C expression further enhances TMZ function, increases cell apoptosis and decreases cell viability. Mechanistically, UBE2C overexpression decreases p53 expression and enhances aerobic glycolysis level by increasing ATP level, lactate production, and glucose uptake. Downregulation of p53 level abolishes the role of UBE2C downregulation in inhibiting TMZ resistance and aerobic glycolysis in glioma cells. Moreover, an animal assay confirms that downregulation of UBE2C expression further suppresses tumor growth in the context of TMZ treatment. Collectively, this study reveals that downregulation of UBE2C expression enhances the sensitivity of glioma cells to TMZ by regulating the expression of p53 to inhibit aerobic glycolysis.

This study aimed to investigate spontaneous hypothermia among emergency trauma patients and develop a predictive model. A cohort of 162 emergency trauma patients was categorized into hypothermic (n = 61) and control (n = 101) groups, with trauma severity assessed using the modified Glasgow Coma Scale (GCS). Univariate analysis revealed significant differences between the groups in trauma severity, posture, garment wetness, warming measures, pre-hospital fluid resuscitation, and modified GCS scores (P < 0.05). The hypothermic group exhibited lower prothrombin time compared to the control group (P < 0.05). A logistic regression model was constructed, expressed as Y = 25.76 − 1.030X 1 + 0.725X 2 + 0.922X 3 − 0.750X 4 − 0.57X 6, and its fit was evaluated using the Hosmer–Lemeshow test. The receiver operating characteristic curve demonstrated an area under the curve of 0.871, with 81.2% sensitivity and 79.5% specificity. The Youden index identified the optimal predictive cut-off at its highest (0.58). Validation results included 86.21% sensitivity, 82.93% specificity, and 84.29% accuracy. Risk factors for spontaneous hypothermia after emergency trauma encompassed trauma severity, posture during consultation, clothing dampness upon admission, warming measures during transfer, pre-hospital fluid resuscitation, and modified GCS scores. The risk prediction model demonstrated high accuracy, enabling effective assessment of spontaneous hypothermia risk in emergency trauma patients and facilitating preventive measures.

Abstract Background Climate change has led to severe cold events, adversely impacting global crop production. Eggplant (Solanum melongena L.), a significant economic crop, is highly susceptible to cold damage, affecting both yield and quality. Unraveling the molecular mechanisms governing cold resistance, including the identification of key genes and comprehensive transcriptional regulatory pathways, is crucial for developing new varieties with enhanced tolerance. Results In this study, we conducted a comparative analysis of leaf physiological indices and transcriptome sequencing results. The orthogonal partial least squares discriminant analysis (OPLS-DA) highlighted peroxidase (POD) activity and soluble protein as crucial physiological indicators for both varieties. RNA-seq data analysis revealed that a total of 7024 and 6209 differentially expressed genes (DEGs) were identified from variety “A” and variety “B”, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs demonstrated that the significant roles of starch and sucrose metabolism, glutathione metabolism, terpenoid synthesis, and energy metabolism (sucrose and starch metabolism) were the key pathways in eggplant. Weighted gene co-expression network analysis (WGCNA) shown that the enrichment of numerous cold-responsive genes, pathways, and soluble proteins in the MEgrep60 modules. Core hub genes identified in the co-expression network included POD, membrane transporter-related gene MDR1, abscisic acid-related genes, growth factor enrichment gene DELLA, core components of the biological clock PRR7, and five transcription factors. Among these, the core transcription factor MYB demonstrated co-expression with signal transduction, plant hormone, biosynthesis, and metabolism-related genes, suggesting a pivotal role in the cold response network. Conclusion This study integrates physiological indicators and transcriptomics to unveil the molecular mechanisms responsible for the differences in cold tolerance between the eggplant cold-tolerant variety “A” and the cold-sensitive variety “B”. These mechanisms include modulation of reactive oxygen species (ROS), elevation in osmotic carbohydrate and free proline content, and the expression of terpenoid synthesis genes. This comprehensive understanding contributes valuable insights into the molecular underpinnings of cold stress tolerance, ultimately aiding in the improvement of crop cold tolerance.

Abstract Glycolysis is a fundamental cellular process, yet its regulatory mechanisms remain incompletely understood. Here, we show that a subset of glucose transporter 1 (GLUT1/SLC2A1) co-endocytoses with platelet-derived growth factor (PDGF) receptor (PDGFR) upon PDGF-stimulation. Furthermore, multiple glycolytic enzymes localize to these endocytosed PDGFR/GLUT1-containing vesicles adjacent to mitochondria. Contrary to current models, which emphasize the importance of glucose transporters on the cell surface, we find that PDGF-stimulated glucose uptake depends on receptor/transporter endocytosis. Our results suggest that growth factors generate glucose-loaded endocytic vesicles that deliver glucose to the glycolytic machinery in proximity to mitochondria, and argue for a new layer of regulation for glycolytic control governed by cellular membrane dynamics.