Construction of a Cancer Stem Cell related Histone Acetylation Regulatory Genes Prognostic Model for Hepatocellular Carcinoma via Bioinformatics Analysis: Implications for Tumor Chemotherapy and Immunity.

BACKGROUND: Cancer stem cells (CSC) play an important role in the development of Liver Hepatocellular Carcinoma (LIHC). However, the regulatory mechanisms between acetylation- associated genes (HAGs) and liver cancer stem cells remain unclear. OBJECTIVE: To identify a set of histone acetylation genes (HAGs) with close associations to liver cancer stem cells (LCSCs), and to construct a prognostic model that facilitates more accurate prognosis assessments for LIHC patients. METHODS: LIHC expression data were downloaded from the public databases. Using mRNA expression- based stemness indices (mRNAsi) inferred by One-Class Logistic Regression (OCLR), Differentially Expressed Genes (DEGs) (mRNAsi-High VS. mRNAsi-Low groups) were intersected with DEGs (LIHC VS. normal samples), as well as histone acetylation-associated genes (HAGs), to obtain mRNAsi-HAGs. A risk model was constructed employing the prognostic genes, which were acquired through univariate Cox and Least Shrinkage and Selection Operator (LASSO) regression analyses. Subsequently, independent prognostic factors were identified via univariate and multivariate Cox regression analyses and then a nomogram for prediction of LIHC survival was developed. Additionally, immune infiltration and drug sensitivity analysis were performed to explore the relationships between prognostic genes and immune cells. Finally, the expressions of selected mRNAsi-HAGs were validated in the LIHC tumor sphere by quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) assay and western blot analysis. RESULTS: Among 13 identified mRNAsi-HAGs, 3 prognostic genes (HDAC1, HDAC11, and HAT1) were selected to construct a risk model (mRNAsi-HAGs risk score = 0.02 * HDAC1 + 0.09 * HAT1 + 0.05 * HDAC11). T-stage, mRNAsi, and mRNAsi-HAGs risk scores were identified as independent prognostic factors to construct the nomogram, which was proved to predict the survival probability of LIHC patients effectively. We subsequently observed strongly positive correlations between mRNAsi-HAGs risk score and tumor-infiltrating T cells, B cells and macrophages/monocytes. Moreover, we found 8 drugs (Mitomycin C, IPA 3, FTI 277, Bleomycin, Tipifarnib, GSK 650394, AICAR and EHT 1864) had significant correlations with mRNAsi-HAGs risk scores. The expression of HDAC1 and HDAC11 was higher in CSC-like cells in the tumor sphere. CONCLUSION: This study constructed a mRNAsi and HAGs-related prognostic model, which has implications for potential immunotherapy and drug treatment of LIHC.

STRN3 promotes tumour growth in hepatocellular carcinoma by inhibiting the hippo pathway.

HCC is a globally high-incidence malignant tumour, and its pathogenesis is still unclear. Recently, STRN3 has been found to be elevated in various tumours, but its expression and biological functions in HCC have not been studied. In the study, clinical correlation analysis was performed on 371 liver cancer patients from TCGA database and liver cancer tissues and normal tissues from the GEO database. qRT-PCR and western blotting were used to detect relevant proteins in cells, and CCK8 and colony formation experiments were performed to analyse cell proliferation ability. Transwell and wound healing experiments were performed to detect cell invasion ability, and flow cytometry was used to detect cell apoptosis. Single-cell sequencing data and multiple immunofluorescence were analysed for the expression abundance and distribution of certain proteins. Immunohistochemistry was used to assess the expression of STRN3 in patients' tumour and adjacent non-cancerous tissues. The results indicated STRN3 was highly expressed in liver tumour tissues and was closely associated with poor prognosis. Knockdown of STRN3 could significantly inhibit cell proliferation and migration ability. At the same time, we found that STRN3 could inhibit the Hippo pathway and promote the entry of YAP protein into the nucleus. Our study first found that STRN3 could promote tumour growth by inhibiting the Hippo pathway. The study of STRN3 can promote the understanding and treatment of the occurrence and development of HCC.

GABPB1 plays a cancer-promoting role in non-small cell lung cancer.

BACKGROUND: GABPB1, the gene that encodes two isoforms of the beta subunit of GABP, has been identified as an oncogene in multiple malignant tumors. However, the role and mode of action of GABPB1 in malignant tumors, especially in lung cancer, are not well understood and need further research. METHODS: Our research focused on examining the biological function of GABPB1 in NSCLC (Non-Small Cell Lung Cancer). We analysed tumor data from public databases to assess the expression of GABPB1 in NSCLC  and its correlation with patient prognosis and investigated GABPB1 expression and methylation patterns in relation to the tumor microenvironment. In parallel, experiments were conducted using short hairpin RNA (shRNA) to suppress the GABPB1 gene in human lung cancer cells to evaluate the effects on cell proliferation, viability, and apoptosis. RESULTS: GABPB1 was widely expressed in various tissues of the human body. Compared to that in normal tissues, the expression of this gene was different in multiple tumor tissues. GABPB1 was highly expressed in lung cancer tissues and cell lines. Its expression was associated with molecular subtype and cellular signalling pathways, and a high level of GABPB1 expression was related to a poor prognosis in lung adenocarcinoma patients. The expression and methylation of GABPB1 affect the tumor microenvironment. After suppressing the expression of GABPB1 in both A549 and H1299 cells, we found a decrease in cell growth and expression, the formation of clones and an increase in the apoptosis rate. CONCLUSIONS: Our research verified that GABPB1 promotes the tumorigenesis of NSCLC and has an inhibitory effect on tumor immunity. The specific role of GABPB1 may vary among different pathological types of NSCLC. This molecule can serve as a prognostic indicator for lung adenocarcinoma, and its methylation may represent a potential breakthrough in treatment by altering the tumor immune microenvironment in lung squamous cell carcinoma. The role and mechanism of action of GABPB1 in NSCLC should be further explored.

Identification of a DNA damage repair-related LncRNA signature for predicting the prognosis and immunotherapy response of hepatocellular carcinoma.

BACKGROUND: DNA damage repair (DDR) may affect tumorigenesis and therapeutic response in hepatocellular carcinoma (HCC). Long noncoding RNAs (LncRNAs) can regulate DDR and play a vital role in maintaining genomic stability in cancers. Here, we identified a DDR-related prognostic signature in HCC and explored its potential clinical value. METHODS: Data of HCC samples were obtained from the Cancer Genome Atlas (TCGA), and a list of DDR-related genes was extracted from the Molecular Signatures database (MSigDB). A DDR-related lncRNAs signature associated to overall survival (OS) was constructed using the least absolute shrinkage and selection operator-cox regression, and was further validated by the Kaplan-Meier curve and receiver operating characteristic curve. A nomogram integrating other clinical risk factors was established. Moreover, the relationships between the signature with somatic mutation, immune landscape and drug sensitivity were explored. RESULTS: The prognostic model of 5 DDR-related lncRNAs was constructed and classified patients into two risk groups at median cut-off. The low-risk group had a better OS, and the signature was an independent prognostic indicator in HCC. A nomogram of the signature combined with TNM stage was constructed. TP53 gene was more frequently mutated in the high-risk group. Marked differences in immune cells were observed, such as CD4 + T cells, NK cells and macrophages, between the two groups. Moreover, an increase in the expression of immune checkpoint molecules was found in the high-risk group. The low-risk group presented with a significantly higher response to sorafenib or cisplatin. Finally, potential value of this signature was validated in real-world HCC patients. CONCLUSION: Our findings provided a promising insight into DDR-related lncRNAs in HCC and a personalized prediction tool for prognosis and therapeutic response.

Detection of circulating plasma cells in peripheral blood using deep learning-based morphological analysis.

BACKGROUND: The presence of circulating plasma cells (CPCs) is an important laboratory indicator for the diagnosis, staging, risk stratification, and progression monitoring of multiple myeloma (MM). Early detection of CPCs in the peripheral blood (PB) followed by timely interventions can significantly improve MM prognosis and delay its progression. Although the conventional cell morphology examination remains the predominant method for CPC detection because of accessibility, its sensitivity and reproducibility are limited by technician expertise and cell quantity constraints. This study aims to develop an artificial intelligence (AI)-based automated system for a more sensitive and efficient CPC morphology detection. METHODS: A total of 137 bone marrow smears and 72 PB smears from patients with at Zhongshan Hospital, Fudan University, were retrospectively reviewed. Using an AI-powered digital pathology platform, Morphogo, 305,019 cell images were collected for training. Morphogo's efficacy in CPC detection was evaluated with additional 184 PB smears (94 from patients with MM and 90 from those with other hematological malignancies) and compared with manual microscopy. RESULTS: Morphogo achieved 99.64% accuracy, 89.03% sensitivity, and 99.68% specificity in classifying CPCs. At a 0.60 threshold, Morphogo achieved a sensitivity of 96.15%, which was approximately twice that of manual microscopy, with a specificity of 78.03%. Patients with CPCs detected by AI scanning had a significantly shorter median progression-free survival compared with those without CPC detection (18 months vs. 34 months, p< .01). CONCLUSIONS: Morphogo is a highly sensitive system for the automated detection of CPCs, with potential applications in initial screening, prognosis prediction, and posttreatment monitoring for MM patients. PLAIN LANGUAGE SUMMARY: Diagnosing and monitoring multiple myeloma (MM), a type of blood cancer, requires identifying and quantifying specific cells called circulating plasma cells (CPCs) in the blood. The conventional method for detecting CPCs is manual microscopic examination, which is time-consuming and lacks sensitivity. This study introduces a highly sensitive CPC detection method using an artificial intelligence-based system, Morphogo. It demonstrated remarkable sensitivity and accuracy, surpassing conventional microscopy. This advanced approach suggests that early and accurate CPC detection is achievable by morphology examination, making efficient CPC screening more accessible for patients with MM. This innovative system has the potential to be used in the diagnosis and risk assessment of MM.

Golgi α-mannosidases regulate cell surface N-glycan type and ectodomain shedding of the transmembrane protease corin.

Corin is a transmembrane protease that activates natriuretic peptides on the cell membrane. Reduced cell surface targeting or increased ectodomain shedding disrupts cell membrane homeostasis of corin, thereby impairing its cell surface expression and enzyme activity. N-glycans are essential in corin ectodomain shedding. Lack of N-glycans promotes corin ectodomain shedding in the juxtamembrane and frizzled-1 domains. The nascent N-glycans, transferred onto the polypeptide of corin, undergo multistep N-glycan processing in the endoplasmic reticulum and Golgi. It remains unclear how trimming by Golgi α-mannosidases, the critical N-glycan processing steps in N-glycan maturation, may regulate corin biosynthesis. In this study, we examined the effects of kifunensine and swainsonine, the inhibitors for α-mannosidases I and II, on corin expression and function. Western analysis of corin proteins in cell lysates and conditioned media from the inhibitor-treated corin-stable HEK293 cells and AC16 cells showed that both α-mannosidases I and II were required to maintain complex N-glycans on cell surface corin and protect corin from ectodomain shedding in the juxtamembrane and frizzled-1 domains. Cell viability analysis revealed that inhibition of α-mannosidase I or II sensitized cardiomyocytes to hydrogen peroxide-induced injury via regulating corin. Moreover, either one of the two coding genes was sufficient to perform Golgi α-mannosidase I trimming of N-glycans on corin. Similarly, this sufficiency was observed in Golgi α-mannosidase II-coding genes. Inhibition of ectodomain shedding restored corin zymogen activation from kifunensine- or swainsonine-induced reduction. Together, our results show the important roles of Golgi α-mannosidases in maintaining cell membrane homeostasis and biological activities of corin.

Development of a nomogram for the early prediction of PACU VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl.

Introduction: To make early predictions of PACU VAS before surgery, we created a novel nomogram for the early prediction of PACU VAS in patients having laparoscopic radical excision of colorectal cancer with fentanyl. Methods: From July 2018 to December 2020, a total of 101 patients in Zhongshan Hospital Affiliated to Fudan University who underwent laparoscopic radical resection of colorectal cancer were enrolled in this study. For feature selection, a stepwise regression model was utilized. Multivariable logistic regression analysis was used to establish a prediction model. We incorporated age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype, and this was presented with a nomogram. The nomogram's performance was evaluated in terms of discrimination and clinical utility. Results: The signature, which comprised of seven carefully chosen characteristics, was linked to the PACU VAS for the development dataset. Predictors contained in the individualized prediction nomogram included age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype. With an area under the ROC curve of 0.877 (95% CI, 0.6874-1.0000), the model showed good discrimination. The nomogram still had good discrimination. Decision curve analysis demonstrated that the nomogram was clinically useful. Conclusions: The nomogram presented in this study incorporates age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype and can be conveniently used to facilitate the individualized prediction of PACU VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl.

Exosomal circ_0008285 in follicle fluid regulates the lipid metabolism through the miR-4644/ LDLR axis in polycystic ovary syndrome.

PURPOSE: Exosomal circRNA, as an essential mediator of the follicular microenvironment, has been implicated in the etiological and pathobiological studies of polycystic ovarian syndrome (PCOS). This study aimed to determine abnormal circular RNA (circRNA) expression profiles in follicle fluid (FF) exosomes in patients with PCOS and identify the role of circ_0008285/microRNA (miR)-4644/low-density lipoprotein receptor (LDLR) axis in PCOS. METHODS: Sixty-seven women undergoing IVF/ICSI, 31 PCOS patients and 36 non-PCOS patients were included in the cohort study. The circRNA expression profiles of FF exosomes in PCOS (n = 3) and control group (n = 3) were compared by RNA sequencing. In an additional cohort (PCOS:28 vs Control:33), the mRNA expression levels of four circRNAs from FF exosomes were further verified by qRT-PCR. Bioinformatic analysis and dual luciferase reporter gene assay verified the relationship between circ_0008285 and miR-4644 and between miR-4644 and LDLR. KGN cells were infected with sh-circ0008285 and transfected with miR-4644 mimic to verify their roles in lipid metabolism. RESULTS: Four circRNAs showed significantly different expressions. Circ_0044234 was overexpressed in PCOS patients, while circ_0006877, circ_0013167 and circ0008285 were decreased in PCOS. Among four differentially expressed circRNAs, circ0008285 was enriched in lipoprotein particle receptor activity and cholesterol metabolism pathway by GO and KEGG pathway analyses. Luciferase assay confirmed the competing endogenous RNA (ceRNA) network circ_0008285/miR-4644 /LDLR. The intercellular experiments on circ_0008285 and its reduction in KGN cells showed that the consumption of circ_0008285 in exosomes could increase the expression of miR-4644 in recipient cells and inhibit the expression of LDLR, as well as increase free fatty acid secretion. CONCLUSION: Circ_0008285 can combine with miR-4644 to promote the expression of LDLR and affect the cholesterol metabolism of ovarian granulosa cells in PCOS. Our findings revealed the ceRNA network of circ_0008285 and provided a new path to investigate lipid metabolism abnormalities in PCOS.

Status of phlebotomy tube utilization at a major medical center. Are we using too many phlebotomy tubes?

Background and objectives: Overutilization of phlebotomy tubes at healthcare facilities leads to iatrogenic anemia, patient dissatisfaction, and increase in operational costs. In this study, we analyzed the phlebotomy tube usage data at the Zhongshan Hospital, Fudan University, to show potential inefficiencies with phlebotomy tube usage. Methods: Data of 984,078 patients with 1,408,175 orders and 4,622,349 total phlebotomy tubes were collected during years 2018-2021. Data of different patient types were compared. Furthermore, we assessed the data from subspecialty and test levels to explore the factors influencing the increase in phlebotomy tube usage. Results: We observed an overall 8% increase in both the mean number of tubes used and blood loss per order over the past 4 years. The mean blood loss per day for intensive care unit (ICU) patients was 18.7 ml (maximum 121.6 ml), which was well under the 200 ml/day threshold. However, the maximum number of tubes used reached more than 30 tubes/day. Conclusions: The 8% increase of phlebotomy tubes over 4 years should alarm laboratory managements, as tests offered are expected to increase in the future. Importantly, the whole healthcare community needs to work together to solve this problem with more creative solutions.

Development and clinical application of a liquid chromatography-tandem mass spectrometry-based assay to quantify eight tyrosine kinase inhibitors in human plasma.

Introduction: Tyrosine kinase inhibitors (TKIs) are widely used in tumor treatment. The detection of these medicines by liquid chromatography-tandem mass spectrometry (LC-MS/MS) can avoid the interference of structurally similar compounds. Objectives: This study aimed to develop and validate a new LC-MS/MS assay for the quantification of eight tyrosine kinase inhibitors in human plasma and to preliminarily evaluate the clinical utility of the therapeutic drug monitoring method. Methods: Plasma samples were prepared by simple protein precipitation and separated using an ultra-high-performance reversed phase column. Detection was achieved using a triple quadrupole mass spectrometer in the positive ionization mode. The assay was validated against standard guidelines. We reviewed and analyzed the results of 268 plasma samples obtained from patients administered imatinib and other TKIs collected from January 2020 to November 2021 at Zhongshan Hospital. The analytes were separated and quantified within 3.5 min. Results: The newly developed method demonstrated linearity for the detected drug concentration in the range of 20 to 2000 ng/ml for gefitinib (r2 = 0.991) and crizotinib (r2 = 0.992), 50 to 5000 ng/ml for nilotinib (r2 = 0.991) and imatinib (r2 = 0.995), 1500-150,000 ng/ml for vemurafenib (r2 = 0.998), 1000-100,000 ng/ml for pazopanib (r2 = 0.993), 0.5-100 ng/ml for axitinib (r2 = 0.992) and 5-500 ng/ml for sunitinib (r2 = 0.991) and N-desethyl sunitinib (r2 = 0.998). The lower limit of quantification (LLOQ) was 20 ng/ml for gefitinib and crizotinib, 50 ng/ml for nilotinib and imatinib, 1500 ng/ml for vemurafenib, 1000 ng/ml for pazopanib, 0.5, and 5 ng/ml for sunitinib and N-desethyl sunitinib, respectively. Specificity, precision, accuracy, and stability were tested, and met the requirements of the guidelines. At the same dose, there was no significant difference in plasma drug concentration between the original imatinib medicine and the generic medicine after patent expiration. Conclusion: We developed a sensitive and reliable method for the quantification of eight TKIs.

Postoperative circulating tumor DNA testing based on tumor naïve strategy after liver metastasis surgery in colorectal cancer patients.

Objective: There is still a lack of highly sensitive methods for monitoring recurrence of colorectal cancer patients after liver metastasis surgery. The aim of this study was to evaluate the prognostic value of tumor-naive ctDNA detection after resection of colorectal liver metastases (CRLM). Methods: Patients with resectable CRLM were prospectively enrolled. Based on the tumor-naive strategy, NGS panels containing 15 colorectal cancer hotspot mutated genes were used to detect ctDNA 3-6 weeks after surgery. Results: A total of 67 patients were included in the study, and the positive rate of postoperative ctDNA was 77.6% (52/67). Patients with positive ctDNA had a significantly higher risk of recurrence after surgery (HR 3.596, 95% CI 1.479 to 8.744, P = 0.005), and a higher proportion relapsed within 3 months after surgery (46.7% vs 3.8%). The C-index of postoperative ctDNA in predicting recurrence was higher than that of CRS and postoperative CEA. The nomogram combining CRS and postoperative ctDNA can improve the accuracy of recurrence prediction. Conclusion: Tumor-naive ctDNA detection can detect molecular residual lesions in patients with colorectal cancer after liver metastasis, and its prognostic value is superior to conventional clinical factors.

Is OPRM1 genotype a valuable predictor of VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl?

OBJECTIVE: This study was conducted to examine the association between the A118G polymorphism of the OPRM1 gene and the risk of increased VAS scores in patients with colorectal cancer who underwent laparoscopic radical resection for which fentanyl was used. METHODS: The OPRM1 A118G genotype in subjects were detected. The relationship between the A118G polymorphism of the OPRM1 gene and increased Visual Analogue Scale (VAS) scores throughout the perioperative period was explored. A total of 101 patients receiving fentanyl anesthesia undergoing laparoscopic radical resection of colon tumors at Zhongshan Hospital, Fudan University between July 2018 and December 2020 were investigated in the present study. The relative risk between the A118G polymorphism of the OPRM1 gene and VAS ≥ 4 in the PACU was estimated using the adjusted effect relationship diagram, baseline characteristic analysis, and multiple logistic regression analysis. The relationship between the A118G polymorphism of the OPRM1 gene and VAS in the PACU, as well as perioperative fentanyl usage, was examined after confounders were adjusted. RESULTS: Subjects with OPRM1 A118G wild gene A were less sensitive to fentanyl, which was a risk factor for PACU VAS ≥ 4. Before the model was adjusted, the odds ratio (OR) was 14.73 (P = 0.001). After adjusting for age, sex, weight, height, and the duration of surgery, the OR increased to 16.55 (P = 0.001). When adjusting for age, sex, weight, height, surgery duration, COMT Val158Met gene polymorphism, CYP3A4 *1G gene polymorphism, and CYP3A5 *3gene polymorphism, the OR was 19.94 (P = 0.002). Moreover, OPRM1 A118G wild type gene A was found to be a risk factor for increased dosage of fentanyl in the PACU. Before the model was adjusted, the OR reached 16.90 (P = 0.0132). After adjusting for age, sex, body weight, intraoperative fentanyl dosage, surgery duration, and height, the OR was 13.81, (P = 0.0438). When adjusting for age, sex, weight, height, intraoperative fentanyl dosage, surgery duration, COMT Val158Met gene polymorphism, CYP3A4 *1G gene polymorphism, and CYP3A5 *3 gene polymorphism, the OR reached 15.23, (P = 0.0205). CONCLUSION: The A118G polymorphism of the OPRM1 gene carrying wild gene A was a risk factor for VAS ≥ 4 in the PACU. Moreover, it is a risk factor for increased dosage of fentanyl in the PACU.

Development of Multiplex Drop-Off Digital PCR Assays for Hotspot Mutation Detection of KRAS, NRAS, BRAF, and PIK3CA in the Plasma of Colorectal Cancer Patients.

The detection of mutations in KRAS, NRAS, BRAF, and PIK3CA has become essential in managing the treatment of metastatic colorectal cancer (CRC) with the approval of new targeted therapies. We developed novel multiplex drop-off digital PCR (MDO-dPCR) assays by combining amplitude-/ratio-based multiplexing with drop-off/double drop-off strategies that allow for the detection of at least the 69 most frequent hotspot mutations in all four genes with only three reactions. The analytical performance of the assays was assessed using synthetic oligonucleotides, which were further validated on plasma cell-free DNA samples from a large cohort of CRC patients and compared with next-generation sequencing data. The MDO-dPCR assays showed a high sensitivity with a limit of detection ranging from 0.084% to 0.182% in mutant allelic frequency. The screening of plasma cell-free DNAs from 106 CRC patients identified mutations in 42.45% of them, with a sensitivity of 95.24%, a specificity of 98.53%, and an accuracy of 96.98% for mutation detection, and a strong correlation of measured mutant allelic frequencies compared with next-generation sequencing results. The high sensitivity and comprehensive mutation coverage of the MDO-dPCR assays make them suitable for rapid and cost-effective detection of KRAS, NRAS, BRAF, and PIK3CA mutations in the plasma of CRC patients, and could be useful in early response assessment and longitudinal disease monitoring.

Germline mutations in homologous recombination repair genes among Chinese pancreatic ductal adenocarcinoma patients detected using next-generation sequencing.

BACKGROUND: Genetic testing for pancreatic ductal adenocarcinoma (PDAC) patients is in constant development. However, the status of homologous recombination repair (HRR) genes in unselected Chinese PDAC has not been fully explored. This study aims to characterize the profile of germline mutations in HRR genes in Chinese PDAC patients. METHODS: A cohort of 256 PDAC patients were enrolled at Zhongshan Hospital Fudan University between 2019 and 2021. Germline DNA was analyzed by next-generation sequencing using a multigene panel of the 21 HRR genes. RESULTS: The germline pathogenic (P)/likely pathogenic (LP) variant rates were 7.0% (18/256) in unselected patients with pancreatic cancer. Among them, 1.6% (4/256) were identified as harboring BRCA2 variants, and 5.5% (14/256) patients carried non-BRCA variants. Variants were detected in eight non-BRCA genes, including ATM (4, 1.6%), PALB2 (4, 1.6%), ATR (1, 0.4%), BRIP1 (1, 0.4%), CHEK2 (1, 0.4%), MRE11 (1, 0.4%), PTEN (1, 0.4%), and STK11 (1, 0.4%). ATM, BRCA2, and PALB2 were the most prevalent variant genes. If only BRCA1/2 was tested, 5.5% of P/LP variants would have been lost. Further, we found that the landscape of P/LP HRR variants in various population cohorts was quite different. However, no significant difference was found in clinical characteristics between germline HRR P/LP carriers and non-carriers. In our study, one case carrying a germline PALB2 variant showed a long-time response to platinum-based chemotherapy and PARP inhibitor. CONCLUSION: This study comprehensively depicts the prevalence and characteristics of germline HRR mutations in unselected Chinese PDAC patients. Our findings show the clinical utility of a multigene panel may increase the detection of P/LP HRR carriers.

Comparison of the 2021 and 2009 chronic kidney disease epidemiology collaboration creatinine equation for estimated glomerular filtration rate in a Chinese population.

OBJECTIVES: To retrospectively compare the clinical effects of the newly released 2021 and 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations for estimated glomerular filtration rate based on creatinine (eGFRcr) in a Chinese population with a broad spectrum of clinical characteristics using historical data. DESIGN AND METHODS: Patients and healthy individuals who visited the Zhongshan Hospital, Fudan University, between July 1, 2020, and July 1, 2022, were enrolled. The exclusion criteria were age < 18 years, amputees, pregnant women, patients with muscle-related diseases, and patients who had undergone ultrafiltration or dialysis. The final study population included 1,051,827 patients with a median age of 57 years; 57.24% of the enrolled individuals were men. eGFRcr was calculated using the 2009 and 2021 CKD-EPI equations and initial creatinine level. Results were evaluated statistically by sex, age, creatinine level, and CKD stage. RESULTS: The 2021 equation increased the eGFRcr in all participants compared to the 2009 equation by 4.46%. The median eGFRcr deviation of the 2021 CKD-EPI equation compared to the 2009 CKD-EPI equation was 4 ml/min/1.73 m2. 903,443 subjects (85.89%) had higher eGFRcr owing to the utilization of the 2021 CKD-EPI equation, which did not cause CKD stage change. A total of 11.57% of subjects (121,666) had improved CKD stage with the 2021 CKD-EPI equation. 1.79% (18,817) had the same CKD stage with both equations, and 0.75% (7,901) had lower eGFRcr but no change in the CKD stage with the 2021 equation. CONCLUSIONS: The 2021 CKD-EPI equation typically produces higher eGFRcr results than the 2009 version. Applying the new equation could lead to changes in the CKD stage for some patients, which doctors should consider.

Combining γ-GT, PIVKA-II, and AFP to predict long-term prognosis in patients with hepatocellular carcinoma after hepatectomy.

Hepatocellular carcinoma (HCC) is one of the top five contributors to the cancer burden in China, with a poor prognosis and heavy disability-adjusted life year burden. The criteria used for HCC prognosis are complicated and therefore restricted in routine clinical practice. Multiple factors influence HCC malignancy and progression. In this study, we retrospectively evaluated 173 patients with HCC who underwent curative resection for 9 years to evaluate the correlation of a combination of γ-glutamyl transferase (γ-GT), protein induced by vitamin K absence or antagonist-II (PIVKA-II), and α-fetoprotein (AFP) with the long-term survival of patients with HCC. Multivariate analysis revealed that the γ-GT level was an independent prognostic factor for recurrence. The prediction rate of early recurrence with γ-GT, PIVKA-II, and AFP levels individually was 63.5%, 79.4%, and 39.7%, respectively, whereas the prediction rate of early recurrence was 95.2% with the combination of γ-GT, PIVKA-II, and AFP levels as a composite indicator. Our long-term retrospective study revealed that γ-GT, PIVKA-II, and AFP can aid in predicting long-term prognosis of HCC recurrence. The combination of γ-GT, PIVKA-II, and AFP can further aid in identifying patients with early recurrence. Together, γ-GT, PIVKA-II, and AFP may a be used to develop a new prediction method to improve the prognosis of patients with HCC, and our results indicate the requirement of more active HCC treatment strategies.

Development of 14-gene signature prognostic model based on metastasis for colorectal cancer.

BACKGROUND: Metastasis is the main cause of death of colorectal tumors, in our study a prognosis model was built by analyzing the differentially expressed genes between metastatic and non-metastatic colorectal cancer (CRC). We used this feature to predict CRC patient prognosis and explore the causes of colorectal tumor metastasis by characterizing the immune status alteration. METHODS: CRC patient data were obtained from TCGA and GEO databases. We constructed a risk prognostic model by using Cox regression and the least absolute shrinkage and selection operator (LASSO) based on CRC metastasis-related genes. We also obtained a nomogram to predict the prognosis of CRC patients. Finally, we explored the underlying mechanism of these metastasis-related genes and CRC prognosis using immune infiltration analysis and experimental verification. RESULTS: According to our prognostic model, in TCGA, the area under the curve (AUC) values of the training and test sets were 0.72 and 0.76, respectively, and 0.68 for the GEO external data set. This suggested that the treatment and prognosis of patients could be effectively determined. At the same time, we found that the B and T cells in both tissues and peripheral blood of high MR-risk score patients were mostly in immune static or inactivated states compared with those of low MR-risk score patients. CONCLUSIONS: MR-risk score has a direct correlation with CRC patient prognosis. It is useful for predicting the prognosis and patient immune status for these patients.

Stigmasterol: Remodeling gut microbiota and suppressing tumor growth through Treg and CD8+ T cells in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC), the most primary malignant liver tumor and is ranked as the fifth most common malignancy worldwide. Despite various therapeutic approaches being used in clinical practice, the overall effectiveness remains insufficient. Stigmasterol, a compound known for its anti-tumor properties and ability to induce apoptosis in tumor cells, has been found to influenced the composition of the intestinal microbiota. However, the mechanism through which stigmasterol influences the intestinal microbial-host crosstalk in HCC remains elusive. PURPOSE: This study was to investigate whether stigmasterol can remodel gut microbiota, and suppress tumor volume by regulating Treg and IFN-γ+ CD8+ cell in the host with HCC. METHOD: Stigmasterol (at dosages of 0, 50, 100, or 200 mg/kg) was orally administered to Balb/c mice with subcutaneous tumor once every 2 days for 3 weeks. RESULTS: We first found that tumors volume in the group treated with 100 mg/kg stigmasterol were significantly decreased compared with those in the control group (P < 0.05), which exhibited a similar effect as the sorafenib treatment in mice with HCC. This resulted in a significant upregulation of Caspase3, Bax, and P53 expressions, as well as a decrease in Cyclin D1 expression, ultimately leading to a reduction in tumor volume. Additionally, stigmasterol can alter the α and ß diversity of the intestinal flora and significantly increase the abundance of Lactobacillus_johnsonii, Lactobacillus_murinus, and Lactobacillus_reuteri (P<0.05), which can lead to a decrease in the ratio of regulatory T cells (Tregs) to CD8+ T cells in the intestinal tract and tumor tissue, and consequently enhance immune response in the tumor microenvironment (TME) in the host with HCC. CONCLUSION: In this study, we initially utilized different dosages of stigmasterol to intervene in mice with HCC and confirmed its inhibitory effects on tumor growth in vivo, and discovered that stigmasterol affected Lactobacillus johnsonii, Lactobacillus murinus, and Lactobacillus reuteri, resulting in an increased proportion of IFN-γ+ CD8+ T cells and Treg cells in both the intestinal mucosa and tumor tissues, and ultimately leading to increased levels of apoptotic proteins and the subsequent death of tumor cells, which shed light on the effect of stigmasterol on host intestinal tissue and intratumoral immune cells by reshaping the intestinal microbiota, and provide a theoretical foundation for the potential clinical application of stigmasterol in the treatment of HCC.

Role of Plasma methylated SEPT9 for Predicting Microvascular Invasion and Tumor Proliferation in Hepatocellular Carcinoma.

Background: Methylated SEPT9 (mSEPT9) has a role in the occurrence and development of hepatocellular carcinoma (HCC). Here, we studied the significance of plasma mSEPT9 for predicting prognosis-associated pathological parameters in patients with HCC. Methods: We retrospectively analyzed data from 205 subjects, including 111 HCC patients, 53 patients with at-risk liver disease (ARD) and 41 healthy donors (HDs). Analysis of plasma mSEPT9 was performed using methylation-specific polymerase chain reaction. Levels of mSEPT9 among different groups were compared using a nonparametric Mann-Whitney U test or a one-way ANOVA test. Correlations between pretreatment plasma mSEPT9 and clinicopathological characteristics were analyzed using the Chi-square. Univariate and multivariate analyses were used to identify factors related to microvascular invasion (MVI). Performance of variables for MVI prediction was evaluated by receiver operating characteristics curve. Results: A specific increase of plasma mSEPT9 in HCC was found when compared with ARD and HDs (HCC vs ARD, P = 1.1 × 10-5 and HCC vs HDs, P = 3.7 × 10-10). Pretreatment plasma mSEPT9 was significantly correlated tumor number (P = .004), tumor size (P = 4.6 × 10-5), MVI (P = .002) and Barcelona Clinic Liver Cancer stage (P = .012). Levels of plasma mSEPT9 correlated significantly with Ki67 expression in tumor (r = 0.356, P = 1.3 × 10-4). Univariate and multivariate analyses showed that plasma mSEPT9 and serum protein induced by vitamin K absence or antagonist-II (PIVKA-II) were independent predictors for MVI. A combination of these 2 markers exhibited a larger areas under the curve (areas under the curve [AUC] = 0.72) than mSEPT9 or PIVKA alone (AUC = 0.67 and 0.65), especially in early-stage HCC. Conclusions: Plasma mSEPT9 is a promising noninvasive biomarker for predicting MVI and tumor proliferation in HCC. Integration plasma mSEPT9 detection into clinical settings might facilitate the patient management.