Racial Disparities in Nasopharyngeal Carcinoma Characteristics and Survival.

Objective: To investigate and compare the distribution of histological subtypes, stage at presentation, and survival outcomes among Chinese American, Non-Hispanic White, and African American patients with nasopharyngeal carcinoma (NPC). Materials and methods: We identified Chinese American, Non-Hispanic White, and African American patients with NPC who were diagnosed between 2010 and 2017. Statistical analyses were conducted using the chi-square test, propensity score matching, Kaplan-Meier analysis, and multivariate Cox proportional hazards models. Results: A total of 1646 eligible patients with NPC were included. Non-Hispanic White accounted for 1049 (63.7%), African Americans for 265 (16.1%), and Chinese Americans for 332 (20.2%), and their median age at diagnosis was 59, 55, and 53 years, respectively (P < .001). Chinese Americans most frequently harbored undifferentiated non-keratinizing squamous cell carcinoma subtype (n = 134, 40.4%) than Non-Hispanic White (n = 164, 15.6%) or African American patients (n = 44, 16.7%) (P < .001). Histological subtype distribution was similar between Non-Hispanic White and African American patients (P = .338). African American patients had the highest rate of stage III to IV disease (n = 206, 77.7%) compared to Non-Hispanic White (n = 704, 67.1%) and Chinese American patients (n = 210, 63.2%) (P = .009). No significant difference in stage distribution was observed between Chinese American and Non-Hispanic White patients (P = .494). Non-Hispanic White patients [hazard ratio (HR) 1.344, 95% confidence interval (CI) 1.007-1.479, P = .045] and African American patients (HR 2.314, 95% CI 1.405-3.813, P < .001) had significantly worse overall survival compared to Chinese American patients. However, race was not associated with NPC-specific survival in the multivariate analysis. Similar results were found after propensity score matching. Conclusions: Race influences the distribution of histological subtypes, stage at presentation, and survival outcomes in NPC.

21-gene recurrence score predictive of the benefit of postoperative radiotherapy after breast-conserving surgery for elderly patients with T1N0 and luminal breast cancer.

PURPOSE: To assess the predictive value of the 21-gene recurrence score (RS) on the survival outcomes of postoperative radiotherapy (PORT) in elderly patients with T1N0 luminal breast cancer after breast-conserving surgery. METHODS: We retrospectively included patients aged ≥ 70 years and diagnosed with T1N0 luminal BC between 2004 and 2015 using the data from the Surveillance, Epidemiology, and End Results. The RS groups were categorized using the TAILORx criteria as follows: low risk (RS < 11) (LR), intermediate risk (RS 11-25) (IR), and high risk (RS > 25) (HR). Kaplan-Meier analysis, propensity score matching (PSM), and Cox proportional hazards analysis were used for statistical analysis. RESULTS: We included 5901 patients in the analysis. Of the patients, 4492 (76.1%) underwent PORT, while 1409 (23.9%) did not receive PORT. There were 1588 (26.9%), 3613 (61.2%), and 700 (12.0%) patients classified as LR, IR, and HR, respectively. There were 1182 (74.4%), 2773 (76.8%), and 537 (76.7%) patients in the LR, IR, and HR groups receiving PORT, respectively (P = 0.182). A total of 1353 pairs of patients were completely matched using PSM. PORT was independently associated with better overall survival (OS) (P < 0.001) and breast cancer-specific survival (BCSS) (P = 0.015) in the entire cohort. The sensitivity analyses showed that the receipt of PORT was not associated with OS (P = 0.887) and BCSS (P = 0.861) in the LR group. However, the receipt of PORT was associated with OS (P < 0.001) and BCSS in the IRHR group (P = 0.026). CONCLUSION: Our study highlights the possible role of the 21-gene RS in predicting the survival outcomes of PORT following BCS in elderly patients with T1N0 luminal breast cancer.

COVID-19 impacted the suicidal ideation among health care workers and medical students: An interrupted time-series analysis of data from 30 countries.

AIM: To investigate the impact of public health emergencies on the prevalence of suicidal ideation among healthcare workers (HCWs) and medical students. METHODS: The prevalence of suicidal ideation among HCWs and medical students was searched for analysis. The platforms included PubMed, medRVix, bioRvix, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science. Interrupted time-series analysis was employed to determine whether the COVID-19 pandemic influenced the prevalence and trends of suicidal ideation. To account for autocorrelation and heteroskedasticity, Newey-West standard errors were utilized with a lag of order one. RESULTS: Seventy studies with 145,641 HCWs and medical students from 30 countries were included in the final analysis, with 30 studies before COVID-19 and 40 studies during the pandemic. Before the pandemic outbreak (April 2020), the monthly increasing rate was 0.063 % (95 % CI: -0.009 %, 0.135 %, z = 1.73, P = 0.084). The tendency of suicidal ideation prevalence increased by 1.116 % (95%CI: 0.888 %, 1.344 %, z = 9.60, P < 0.001). In other words, the calculated monthly growth rate of suicidal ideation after the pandemic outbreak is 1.179 % (95%CI: 0.968 %, 1.391 %, z = 10.93, P < 0.001) per month. The overall growing trend of prevalence of suicidal ideation during the pandemic is 1.896 % per month in America; 1.590 % in Europe; 0.443 % (95%CI: 0.213 %, 0.673 %, z = 3.77, P < 0.001) in Asia; 1.055 % in HCWs; and 0.645 % in medical students. CONCLUSION: This study highlights that the COVID-19 pandemic can significantly impact the prevalence of suicidal ideation among HCWs and medical students, and the prevalence showed an upward trend.

Risk assessment of As, Cd, Cr, and Pb via the consumption of seafood in Haikou.

In order to mitigate the risk of excessive heavy metal intake, a study was conducted to assess the levels of arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb) contamination in 23 edible seafood species obtained from markets in Haikou. The findings were analyzed to evaluate the potential health hazards posed to the local population through consumption. The metals were detected via inductively coupled plasma mass spectrometry (ICP-MS) for quantification. The non-carcinogenic and carcinogenic health risks in humans were assessed via target hazard quotient (THQ), combined target hazard quotient (CTHQ), and target cancer risk (TR). The results indicated that the rank order based on the median metal concentration was As > Cd > Cr > Pb. THQ and CTHQ showed that nine seafood species posed a non-carcinogenic risk regarding from As and Cd consumption separately, or the four targeted metals ingestion together. TR assessment indicated that the InAs in all the species presented a carcinogenic risk to coastal residents. The Cd content in bivalves, algae, and several crustacean (Mantis Shrimp, Orchid Crab, Red spot Swimming Crab) and fish species (Japanese Scad, Pacific Saury), and Cr levels in most bivalve species (Razor Clams, White Clams, Fan Shells, Oysters, Blood Clams) presented a carcinogenic risk. The As, Cd, Pb, and Cr levels of seafood in Haikou were assessed species presented a potential health risk. Necessitating stricter risk should be management and detection capability and monitoring will be improved.

Bone Marrow Mesenchymal Stem Cell-Derived Exosomes Alleviate Nuclear Pulposus Cells Degeneration Through the miR-145a-5p/USP31/HIF-1α Signaling Pathway.

Bone marrow mesenchymal stem cell (BMSC)-derived exosomes possess therapeutic potential against degenerative diseases. This study aimed to investigate the effects of BMSC-derived exosomes on intervertebral disc degeneration (IVDD) and explore the underlying molecular mechanisms. Through transcriptome sequencing and histological analysis, we observed a significant increase in HIF-1α expression in degenerative nucleus pulposus (NP) tissues. The addition of HIF-1α resulted in elevated expression of inflammatory factors IL-1ß and IL-6, higher levels of matrix-degrading enzyme MMP13, and lower expression of aggrecan in NP cells. Co-culturing with BMSCs diminished the expression of HIF-1α, MMP13, IL-1ß, and IL-6 in degenerative NP cells induced by overload pressure. miRNA chip analysis and PCR validation revealed that miR-145a-5p was the primary miRNA carried by BMSC-derived exosomes. Overexpression of miR-145a-5p was effective in minimizing the expression of HIF-1α, MMP13, IL-1ß, and IL-6 in degenerative NP cells. Luciferase reporter assays confirmed USP31 as the target gene of miR-145a-5p, and the regulation of NP cells by BMSC-derived exosomes via miR-145a-5p was dependent on USP31. In conclusion, BMSC-derived exosomes alleviated IVDD through the miR-145a-5p/USP31/HIF-1α signaling pathway, providing valuable insights into the treatment of IVDD.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022.

BACKGROUND: Gastrointestinal neoplasm (GN) significantly impact the global cancer burden and mortality, necessitating early detection and treatment. Understanding the evolution and current state of research in this field is vital. AIM: To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research, focusing on key contributors, institutions, and thematic evolution. METHODS: This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the "bibliometrix" R package, VOSviewer, and CiteSpace. The analysis focused on the distribution of publications, contributions by institutions and countries, and trends in keywords. The methods included data synthesis, network analysis, and visualization of international collaboration networks. RESULTS: This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration. It highlights the United States' critical role in advancing this field, with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute. The last five years, substantial advancements have been made, representing nearly 45% of the examined literature. Publication rates have dramatically increased, from 20 articles in 2002 to 112 in 2022, reflecting intensified research efforts. This study underscores a growing trend toward interdisciplinary and international collaboration, with the Journal of Clinical Oncology standing out as a key publication outlet. This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks. CONCLUSION: This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis. This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy, ultimately enhancing worldwide patient care.

A novel dual-target Septin9 methylation assay for improved detection of early-stage colorectal cancer and high-grade intraepithelial neoplasia.

BACKGROUND: Colorectal cancer (CRC) ranks as the third most common malignancies in the world, and periodic examination of the patient is advantageous in reducing the mortality of CRC. The first blood-based Septin9 gene methylation assay which recognized by the US FDA for CRC examination was Epi proColon. However, this assay was not broadly applied in the current clinical guideline because of its relatively lower sensitivity in the detection of early-stage CRC. METHODS: This study aimed at developing a new multiplex Septin9 methylation assay (ColonUSK) which simultaneously evaluates two CpG-rich subregions in the promoter of the Septin9 gene and an internal control in a single reaction. ColonUSK proved increased sensitivity, with a detection limit as low as 12pg of the positive DNA compared with the Septin9 assay targeting one CpG-rich subregion. 1366 subjects were prospectively recruited from four comprehensive hospitals in China in an opportunistic screening study for assessing its value in CRC detection. Blind testing was developed to evaluate ColonUSK in comparison with clinical examination using clinical gold standard such as colonoscopy. RESULTS: The assay demonstrates clinical sensitivity for diagnosing colorectal cancer (CRC) and advanced adenoma at rates of 77.34% and 25.26%, respectively. Furthermore, ColonUSK exhibits a high degree of specificity for non-CRC cases (95.95%) clinically. Significantly, the detection rate of cases in high-grade intraepithelial neoplasia increased to 54.29%. The value for the assay in the Kappa test was 0.76, showing a high degree of consistency between ColonUSK and clinical gold standard. CONCLUSIONS: ColonUSK indicated moderate diagnostic value and could become a non-invasive detection way for CRC. The implementation of the ColonUSK assay has the capacity to markedly enhance CRC screening practices.

Spatial distribution and enrichment characteristics of selenium in paddy soil and rice around the Dongting Lake.

Selenium (Se) deficiency is a major global health issue. Given that the Dongting Lake region is a significant agricultural production area in China, its soil and geographical properties have a marked influence on Se accumulation in rice. Investigating these factors and their importance can provide technical guidance for the production of Se-rich rice locally and in other similar regions worldwide. Such studies can foster Se-enriched agricultural practices on a global scale, contributing to improved human health and environmental quality. Therefore, in this study, we investigated 15,403 paddy soil samples and their corresponding rice grains from the Dongting Lake area, by analyzing their Se content, spatial distribution, and bioaccumulation factor (BCF). The effects of parent materials, soil characteristics (physicochemical), and geographical factors on Se content in soil, rice grains, and BCF were also assessed. We found that the average Se content in the paddy soil of the Dongting Lake area was 0.43 mg/kg, which was 1.48 folds higher than the background Se content (0.29 mg/kg) in Chinese soil. The average Se content in rice grains was 0.059 mg/kg, surpassing the Chinese standard for Se-rich rice (0.04 mg/kg). Se distribution in the paddy soil and rice were the highest in the western and central regions and lowest in the eastern region. Se-enriched rice and Se-enriched rice fields are widely distributed in Dongting Lake area. Seven parent materials significantly influenced soil Se and BCF. Correlation analysis revealed positive correlations between soil Se and soil organic matter (SOM), zinc, altitude, and mean annual precipitation. BCF was positively correlated with pH and mean annual temperature. The Random Forest model highlighted that SOM played a pivotal role in soil Se enrichment, being the most influential factor for both soil and rice enrichment (RR type), whereas pH exerted the most significant influence on soil enrichment without rice enrichment (RN type).

An SNP Marker Predicts Colorectal Cancer Outcomes with 5-Fluorouracil-Based Adjuvant Chemotherapy Post-Resection.

Colorectal cancer (CRC) is a global health concern, necessitating adjuvant chemotherapy post-curative surgery to mitigate recurrence and enhance survival, particularly in intermediate-stage patients. However, existing therapeutic disparities highlight the need for biomarker-guided adjuvant chemotherapy to achieve better CRC inhibition. This study explores the molecular mechanisms underlying the inhibition of CRC through a genome-wide association study (GWAS) focused on 5-fluorouracil (5-FU)-based adjuvant therapy in intermediate-stage CRC patients, a domain previously unexplored. We retrospectively included 226 intermediate-stage CRC patients undergoing surgical resection followed by 5-FU-based adjuvant chemotherapy. The exploration cohort comprised 31 patients, and the validation cohort included 195 individuals. Genotyping was carried out using either Axiom Genome-Wide TWB 2.0 Array Plate-based or polymerase chain reaction-based methods on genomic DNA derived from collected tissue samples. Statistical analyses involved descriptive statistics, Kaplan-Meier analyses, and Cox proportional hazard analyses. From the GWAS, potential genetic predictors, GALNT14-rs62139523 and DNMBP-rs10786578 genotypes, of 5-FU-based adjuvant therapy following surgery in intermediate-stage CRC patients were identified. Validation in a larger cohort of 195 patients emphasized the predictive significance of GALNT14-rs62139523 genotypes, especially the "A/G" genotype, for improved overall and progression-free survival. This predictive association remained robust across various subgroups, with exceptions for specific demographic and clinical parameters such as age < 58 years old, CEA ≤ 2.5 ng/mL, tumor diameter > 44.0 mm, and tumor-free margin ≥ 50 mm. This study identifies that the GALNT14-rs62139523 "A/G" genotype modulates therapeutic outcomes, establishing it as a promising biomarker for predicting favorable responses to 5-FU-based adjuvant chemotherapy in intermediate-stage CRC patients, although further investigations are needed to detail these mechanisms.

Deciphering hepatoma cell resistance to tyrosine kinase inhibitors: insights from a Liver-on-a-Chip model unveiling tumor endothelial cell mechanisms.

Liver cancer represents a significant global burden in terms of cancer-related mortality, with resistance to anti-angiogenic drugs such as Sorafenib and Lenvatinib presenting a formidable challenge. Tumor angiogenesis, characterized by the formation of new blood vessels within tumors, plays a pivotal role in cancer progression and metastasis. Tumor endothelial cells, specialized endothelial cells lining tumor blood vessels, exhibit unique phenotypic and functional traits that drive aberrant vessel formation and contribute to therapy resistance. CD105, a cell-surface glycoprotein that is highly expressed on endothelial cells during angiogenesis, including tumor endothelial cells, regulates endothelial cell proliferation, migration, and vessel formation by modulating transforming growth factor-beta (TGF-ß) signaling pathways. Elevated CD105 expression on tumor endothelial cells correlates with increased angiogenic activity and poor prognosis in cancer patients. Targeting CD105 with antibodies presents a promising strategy to inhibit tumor angiogenesis and disrupt tumor vasculature, offering potential therapeutic benefits by interfering with the tumor microenvironment and inhibiting its progression. This study investigates tumor angiogenesis through a three-dimensional (3D) microfluidic co-culture system incorporating endothelial cells and hepatocellular carcinoma (HCC) cells. The primary focus is on the role of CD105 expression within the liver tumor microenvironment and its contribution to increased chemoresistance. Additionally, this research examines the influence of CD105 expression on the efficacy of tyrosine kinase inhibitors (TKIs) and its pivotal function in facilitating angiogenesis in liver tumors. The proposed microfluidic chip model investigates liver cancer cell interactions within a microfluidic chip model designed to simulate aspects of liver tumor angiogenesis.

UBE2C as an Immune-Related Biomarker for Breast Cancer: A Study Based on Multiple Databases.

Objective To screen the target gene UBE2C and explore its prognostic value and immune correlation in breast cancer (BRCA) using multiple databases. Methods The microarray expression datasets of BRCA were downloaded from the Gene Expresssion Omnibus database (GEO) and analyzed to obtain differentially expressed genes (DEGs). Hub genes were obtained by constructing and visualizing the protein-protein interaction network of DEGs. Then the key gene UBE2C was determined using R language, STRING, and Cytoscape, and the differential expression of UBE2C was verified using the external datasets, The Cancer Genome Atlas (TCGA) , and quantitative real-time PCR (qRT-PCR). The prognostic value and immunological correlation of UBE2C in BRCA were explored using R language, TIMER, and Gene Set Enrichment Analysis (GSEA).Results The expression of UBE2C was differentially upregulated in BRCA, as verified by TCGA and qRT-PCR. Prognostic analysis revealed that UBE2C served as an independent prognostic factor. High expression of UBE2C was associated with decreased immune infiltration levels of B cells, CD4+ T cells, CD8+ T cells, macrophages, and myeloid dendritic cells in BRCA tissue. The expression of UBE2C in BRCA showed a significant correlation with PDCD1, CD274, and CTLA4 expressions. There was a positive correlation between the expression of UBE2C and the tumor mutational burden and microsatellite instability. GSEA demonstrated that UBE2C expression significantly enriched 786 immune-related gene sets.Conclusions UBE2C expression in BRCA tissues can predict the survivals and prognosis of BRCA patients. Also, it is closely related to the BRCA immune microenvironment and can predict the effecacy of immunotherapy in BRCA patients. Therefore, UBE2C may be an potential immune-related prognostic biomarker for BRCA.

Ilizarov technique for treating elbow stiffness caused by myositis ossificans: A case report.

BACKGROUND: Myositis ossificans (MO) is a rare disease involving the formation of bone outside the musculoskeletal system. While surgical intervention is the main treatment approach, preventing recurrence and standardized rehabilitation are also crucial. Here, we present a surgical strategy to prevent the recurrence of MO. CASE SUMMARY: A 28-year-old female patient was admitted for the first time for a comminuted fracture of the left olecranon. However, incorrect postoperative rehabilitation resulted in the development of elbow joint stiffness with ectopic ossification, causing a loss of normal range of motion. The patient was diagnosed with MO based on physical examination, X-ray findings, and clinical presentation. We devised a surgical strategy to remove MO, followed by fixation with an Ilizarov frame, and implemented a scientifically reasonable rehabilitation plan. The surgery lasted for 3 h with an estimated blood loss of 45 mL. A drainage tube was placed after surgery, and fluid was aspirated through ultrasound-guided puncture. The patient experienced a significant reduction in joint stiffness after surgery. In the final follow-up at 9 mouths, there was evident improvement in the range of motion of the elbow joint, and no other symptoms were reported. CONCLUSION: The Ilizarov frame is an advantageous surgical technique for facilitating rehabilitation after MO removal. It offers benefits such as passive recovery, individualized treatment, and prompt recovery.

LipidSig 2.0: integrating lipid characteristic insights into advanced lipidomics data analysis.

In the field of lipidomics, where the complexity of lipid structures and functions presents significant analytical challenges, LipidSig stands out as the first web-based platform providing integrated, comprehensive analysis for efficient data mining of lipidomic datasets. The upgraded LipidSig 2.0 (https://lipidsig.bioinfomics.org/) simplifies the process and empowers researchers to decipher the complex nature of lipids and link lipidomic data to specific characteristics and biological contexts. This tool markedly enhances the efficiency and depth of lipidomic research by autonomously identifying lipid species and assigning 29 comprehensive characteristics upon data entry. LipidSig 2.0 accommodates 24 data processing methods, streamlining diverse lipidomic datasets. The tool's expertise in automating intricate analytical processes, including data preprocessing, lipid ID annotation, differential expression, enrichment analysis, and network analysis, allows researchers to profoundly investigate lipid properties and their biological implications. Additional innovative features, such as the 'Network' function, offer a system biology perspective on lipid interactions, and the 'Multiple Group' analysis aids in examining complex experimental designs. With its comprehensive suite of features for analyzing and visualizing lipid properties, LipidSig 2.0 positions itself as an indispensable tool for advanced lipidomics research, paving the way for new insights into the role of lipids in cellular processes and disease development.

Utility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling.

Polygenic scores estimate genetic susceptibility to diseases. We systematically calculated polygenic scores across 457 phenotypes using genotyping array data from China Medical University Hospital. Logistic regression models assessed polygenic scores' ability to predict disease traits. The polygenic score model with the highest accuracy, based on maximal area under the receiver operating characteristic curve (AUC), is provided on the GeneAnaBase website of the hospital. Our findings indicate 49 phenotypes with AUC greater than 0.6, predominantly linked to endocrine and metabolic diseases. Notably, hyperplasia of the prostate exhibited the highest disease prediction ability (P value = 1.01 × 10-19, AUC = 0.874), highlighting the potential of these polygenic scores in preventive medicine and diagnosis. This study offers a comprehensive evaluation of polygenic scores performance across diverse human traits, identifying promising applications for precision medicine and personalized healthcare, thereby inspiring further research and development in this field.

Nutritional support therapy for liver transplantation in an adult-onset type II citrullinemia patient: a case report.

Liver transplantation is an effective measure to treat adult-onset type II citrullinemia (CTLN2). Active and effective perioperative nutrition support is a very important treatment for the prognosis of such patients. In this paper, we analyzed the process, results, and outcome of nutritional support therapy in a case of CTLN2, and concluded that the perioperative nutritional support program for CTLN2 patients should be followed prior to surgery:1.because of the prevalence of severe malnutrition in CTLN2 patients, Enteral nutrition (EN) combined with Parenteral nutrition (PN) should be the first choice for nutritional support; 2. daily energy intake should be 35 ~ 40 kcal/kg; 3. the nutritional formula should be composed of low-carbohydrates and high medium-chain triglyceride (MCT). Postoperative: initiating EN as soon as possible is recommended to restore intestinal function and adjuvant PN might be taken into consideration in the early stage. The purpose of this case was to provide experience for the development and adjustment of the perioperative nutritional support regimen for CTLN2 patients.

Two new iridoid glycosides from the whole plant of Rehmania piasezkii.

Two new iridoid glycosides, piasezkiiosides A (1) and B (2), were isolated from aqueous extract of the whole plant of Rehmannia piasezkii. Their structures were established from the spectroscopic data, chemical transformation, and X-ray diffraction analysis. Compound 1 exhibited weak hepatoprotective activity against APAP-induced HepG2 cell damage.

Effect of beta-cypermethrin on the reproductive capacity of female mice in advanced age.

The aim of the present study was to investigate whether exposure to pesticides beta-cypermethrin (ß-CYP) harms the reproductive capacity of advanced-age female mice. The results evidenced that peri-implantation ß-CYP exposure significantly reduced the number of fetuses per advanced-age female in the first litter, and the number and weight of implantation sites. The levels of decidualization markers were significantly reduced in ß-CYP-administered advanced-age mice. Lower expression of Pcna, Cdk6, Foxo1, Ki67, and p62 protein and mRNA was found in the decidua of ß-CYP-treated advanced-age mice. The levels of Bax, cleaved caspase-3, Lc3a/b, Atg, mTOR, and p-mTOR protein, and the ratio of p-mTOR/mTOR protein expression were clearly downregulated by peri-implantation ß-CYP exposure. These results indicated that peri-implantation ß-CYP exposure may elevate the decline in reproductive capacity of early pregnant mice in advanced age.

A 10-year review on older patients undergoing colorectal cancer surgery: surgeon-led geriatric service and good quality surgery are drivers of good outcomes.

BACKGROUND: Older age and frailty are associated with worse postoperative outcomes and prolonged length of stay (LOS). In this study, we aimed to analyze the long-term outcomes after the implementation of our geriatric surgical service (GSS). METHODS: This was a single-center retrospective study from July 2010 to December 2021 on patients aged ≥75 years or patients aged ≥65 years with frailty. Our GSS includes multidisciplinary assessment and optimization by specialized nurses, physiotherapists, anesthetists, dietitians, and geriatricians. Cumulative sum (CUSUM) analysis was used to assess the performance of our GSS. Our primary outcome was defined as the presence of 30-day mortality, prolonged LOS ≥ 14 days, and/or >10% decrease in the modified Barthel Index at 6 weeks, which depicts the failure of GSS. A downsloping CUSUM curve implies consecutive cases of success. RESULTS: There were 233 patients with a mean age of 79.0 ± 4.9 years; of these, 73 patients (31.3%) were frail. The overall 30-day mortality (1.7%), Clavien-Dindo ≥ grade IIIA complications (12.0%), and LOS (median, 7.0 days) were low. The CUSUM analysis showed 3 phases with overall sustained improvement in outcomes. Transient inconsistency in the second phase (during midimplementation of GSS) may be due to the early adoption of laparoscopic surgery (44.6% vs 24.1%; adjusted P =.031) and expansion of service to include patients with higher perioperative risks (weighted Charlson Comorbidity Index score ≥4: 64.9% vs 38.0%; adjusted P =.002) in the second period compared with the first period. The outcomes subsequently improved in the third phase after overcoming the learning curve. CONCLUSION: Our GSS showed sustained performance over the past decade. Good quality surgery and surgeon-led geriatric service are paramount for good postoperative outcomes.

Proteomic and metabolomic features in patients with HCC responding to lenvatinib and anti-PD1 therapy.

Combination therapy (lenvatinib/programmed death-1 inhibitor) is effective for treating unresectable hepatocellular carcinoma (uHCC). We reveal that responders have better overall and progression-free survival, as well as high tumor mutation burden and special somatic variants. We analyze the proteome and metabolome of 82 plasma samples from patients with hepatocellular carcinoma (HCC; n = 51) and normal controls (n = 15), revealing that individual differences outweigh treatment differences. Responders exhibit enhanced activity in the alternative/lectin complement pathway and higher levels of lysophosphatidylcholines (LysoPCs), predicting a favorable prognosis. Non-responders are enriched for immunoglobulins, predicting worse outcomes. Compared to normal controls, HCC plasma proteins show acute inflammatory response and platelet activation, while LysoPCs decrease. Combination therapy increases LysoPCs/phosphocholines in responders. Logistic regression/random forest models using metabolomic features achieve good performance in the prediction of responders. Proteomic analysis of cancer tissues unveils molecular features that are associated with side effects in responders receiving combination therapy. In conclusion, our analysis identifies plasma features associated with uHCC responders to combination therapy.

DriverDBv4: a multi-omics integration database for cancer driver gene research.

Advancements in high-throughput technology offer researchers an extensive range of multi-omics data that provide deep insights into the complex landscape of cancer biology. However, traditional statistical models and databases are inadequate to interpret these high-dimensional data within a multi-omics framework. To address this limitation, we introduce DriverDBv4, an updated iteration of the DriverDB cancer driver gene database (http://driverdb.bioinfomics.org/). This updated version offers several significant enhancements: (i) an increase in the number of cohorts from 33 to 70, encompassing approximately 24 000 samples; (ii) inclusion of proteomics data, augmenting the existing types of omics data and thus expanding the analytical scope; (iii) implementation of multiple multi-omics algorithms for identification of cancer drivers; (iv) new visualization features designed to succinctly summarize high-context data and redesigned existing sections to accommodate the increased volume of datasets and (v) two new functions in Customized Analysis, specifically designed for multi-omics driver identification and subgroup expression analysis. DriverDBv4 facilitates comprehensive interpretation of multi-omics data across diverse cancer types, thereby enriching the understanding of cancer heterogeneity and aiding in the development of personalized clinical approaches. The database is designed to foster a more nuanced understanding of the multi-faceted nature of cancer.