Low Score Group Research Articles

The subgroup analysis by age and geriatric assessment in a phase III study comparison of trastuzumab emtansine with trastuzumab, pertuzumab, and docetaxel in older patients with advanced stage HER2-positive breast cancer (JCOG1607 HERB TEA study).

1031 Background: The JCOG1607, HERB TEA Study, is a phase III trial that compared trastuzumab emtansine (T-DM1) with the HPD regimen (trastuzumab, pertuzumab, docetaxel) in older patients with advanced HER2-positive breast cancer. The primary objective was to confirm the non-inferiority of T-DM1 to HPD in overall survival (OS), with a margin of 1.35 for hazard ratio (HR). The trial was terminated early due to futility at the planned first interim analysis. T-DM1 didn't show non-inferiority to HPD in OS (HR 1.263; 95% confidence interval [CI], 0.677-2.357). Median progression-free survival (PFS) was 11.3 months for T-DM1 and 15.6 months for HPD (HR 1.373; 95% CI, 0.917-2.056). However, the condition of older patients varies widely, and we conducted a subgroup analysis to investigate the subgroup that could benefit from T-DM1 with fewer side effects as a first-line treatment. Methods: Subgroup analysis for OS and PFS involved 148 patients enrolled in JCOG1607, considering age and PS (<75 years old and PS 0,1 or <75 years old and PS 2 or ≥75 years old), Geriatric 8 (G8) score (≥15 or <15), Instrumental Activity of Daily Living (IADL) score (8 or <8), visceral/brain metastasis presence (with or without), and other factors. Results: Subgroup of <75 and PS 2 was not evaluable. For OS, HR of T-DM1 arm to HPD arm was 0.749 (95% CI: 0.310-1.808) in the group aged <75 years, while 2.867 (95%CI: 1.018-8.069) in the group aged ≥75 years (Table). G8 score and the IADL score did not show significant differences in HR for OS, although low G8 score group and low IADL score group tended to have higher OS in HPD arm than T-DM1 arm: HR of T-DM1 arm to HPD arm of 1.541 (95% CI: 0.755-3.142) in low G8 score group and 2.147 (95% CI: 0.656-7.025) in low IADL score group. For PFS, patients with visceral/brain metastasis had HR of T-DM1 arm to HPD arm of 1.794 (95% CI: 1.092-2.948). No other subgroup showed a significant difference in HR for PFS. Conclusions: No subgroups benefiting from T-DM1 as first-line treatment were identified. HPD remains the standard for advanced HER2-positive breast cancer, regardless of age (even in ≥75 years) G8 score, or IADL. Clinical trial information: UMIN000030783. [Table: see text]

Multiomic factor analysis for pathologic complete response (pCR) after 12 weeks of pembrolizumab + trastuzumab + pertuzumab in HER2-enriched (HER2-E) early breast cancer (eBC) in the Keyriched-1 trial.

590 Background: pCR successfully identified candidates for (chemotherapy) de-escalation in the ADAPT HER2+ trial program. Here, we report biomarker analysis for pCR in the single arm, hypothesis-generating Keyriched-1 trial (NCT03988036) in HER2-E eBC treated with pembrolizumab and dual HER2 blockade. The trial rationale is based on high efficacy of anti-HER2 agents and potentially high immunogenicity and immune checkpoint protein expression in HER2-E eBC. Methods: 48 patients with HER2 2+ (ISH+) or 3+ eBC (stage I-III) and HER2-E subtype received pembrolizumab (200 mg), trastuzumab biosimilar (loading dose, LD 8 mg/kg, maintenance dose, MD 6 mg/kg), and pertuzumab (LD 840 mg/kg, MD 420 mg/kg) q3w for 12 weeks. Primary outcome was pCR (ypT0/is ypN0). Multiomic factor analysis was performed using different combinations of biomarker datasets: baseline BC360 single genes and gene signatures, multiplexed immunohistochemistry (mIHC), stromal tumor infiltrating lymphocytes (sTILs), somatic mutations and tumor mutational burden, and changes in circulating tumor DNA status under therapy. Factors representing combined markers developed from these pooled datasets were identified based on eigenvalue >1 criteria. Logistic regression with factors dichotomized by median score was conducted to analyze their association with pCR. Furthermore, logistic regression with elastic net regularization was performed using all single markers, factors from multiomic factor analysis, and clinical characteristics. Results: Factor involving gene expression (mainly related to immune response and tumorigenesis), mIHC markers (immune and HER2) in stroma, and sTILs datasets was significantly associated with pCR. Using the median as cutoff, higher scores increased the odds of pCR (unadj. OR 5.00, 95%CI 1.35, 18.56; p=.016). pCR rates were 66.7% and 28.6% in the high and low score groups, respectively. Effect of the factor (high vs low; OR 2.19) was also important in a model that additionally included clinical markers: grade (3 vs 2; OR 2.57), ER status (ER+ vs ER-; OR 0.89), cT (cT 2/3 vs 1; OR 0.69), cN (cN 1/2 vs 0; OR 0.51), and PR status (PR+ vs PR-; OR 0.34). When standardized values for all individual markers from gene expression, mIHC, and sTIL datasets were analyzed, markers with greatest impact on pCR vs. non-pCR were genes FNBP1, CD36, MYCN, and SIX1 (OR 1.43-1.62) and PR status (OR 0.65), with stronger impact than grade (OR 1.22) or nodal status (OR 0.90). Conclusions: Our multiomic analysis uncovered potential biomarkers for pCR in HER2-E eBC treated with immune therapy and dual-HER2 blockade alone. These results together with the results from the ADAPT translational research program support validation in larger trials investigating chemotherapy-free regimens in selected patients with HER2+ eBC. Clinical trial information: NCT03988036 .

Impact of frailty on hospitalized patients with prostate cancer: A retrospective analysis.

e23054 Background: The impact of Hospital frailty risk score on outcomes in hospitalized patients with prostate cancer has not been previously studied. This research aimed to examine the association between frailty and prostate cancer outcomes. Methods: This retrospective study utilized hospitalization data from the National Inpatient Sample (NIS) between January 1, 2020, and December 31, 2020. Data of patients with a primary or secondary discharge diagnosis of prostate cancer (ICD10-CM codes C61.0, D07.5, and Z85.46) were obtained. The objective was to evaluate the correlation between frailty and prostate cancer. Multivariate analysis was performed, stratified by race, age, Charlson index, median annual income in the patient's zip code, hospital bed size, teaching status, and census division of the hospital. Results: A total of 51,980 hospitalizations for prostate cancer were identified, with 72.7% in the intermediate to high frailty score (IHFS) group and 27.3% in the low frailty score (LFS) group. The IHFS group had a higher unadjusted in-hospital mortality rate than the LFS group (5.85% vs. 1.2%). Patients with IHFS had increased odds of adjusted mortality compared to those with LFS (adjusted odds ratio [aOR] = 4.45, 95% Cl [3.80-5.22], P < 0.01). Hispanic and Black race patients also had increased odds of adjusted mortality compared to Caucasian race patients (aOR = 1.42, 95%CI [1.19-1.70], P < 0.01); aOR = 1.16, 95%CI [1.00-1.32], P = 0.037, respectively). Additionally, the IHFS group had longer lengths of stay (5.65 ± 0.038 vs. 3.26 ± 0.28 days) and higher adjusted total costs ($66,107 ± 850 vs. $64,308 ± 1066) compared to the LFS group. Conclusions: Patients with prostate cancer and a high hospital frailty risk score exhibited significantly higher mortality rates, longer lengths of stay, and increased total adjusted costs. Frailty assessment plays a crucial role in predicting outcomes in patients with prostate cancer. Physicians can use frailty assessment to stratify patients based on risk and improve their ability to anticipate consequences.

Physical function, physical activity, and health-related quality of life among Japanese children aged 8–12 years

Background Health-related quality of life (HRQOL) is indicative of an individual’s overall health status, and identifying factors that influence HRQOL is important in improving HRQOL. This study investigated associations between the physical function, with focus being placed on the balance ability, and HRQOL. Methods This cross-sectional study assessed HRQOL using the Paediatric Quality of Life Inventory. Based on their total, physical, and psychosocial HRQOL scores, participants were divided into higher and lower score groups. Multivariate logistic regression analysis was used to identify physical function that affect HRQOL. Results This study included 323 Japanese children aged 8–12 (167 girls, mean age 10.5 ± 1.4 years). The analysis revealed that the total score correlated with balance ability (odds ratio 1.030; p = 0.017) and cardiorespiratory fitness (odds ratio 0.963; p = 0.004). Physical scores correlated with lower body muscle strength (odds ratio 1.020; p = 0.029) and balance ability (odds ratio 1.034; p = 0.006). Psychosocial scores correlated with balance ability (odds ratio 1.024; p = 0.042) and cardiorespiratory fitness (odds ratio 0.972; p = 0.023). Conclusion Notably, the balance function was tied to all HRQOL scores among physical functions. The results suggest that improving balance ability is important for maintaining and improving HRQOL.

Multi-omics comprehensive analysis reveals the predictive value of N6-methyladenosine- related genes in prognosis and immune escape of bladder cancer.

N6-methyladenosine (m6A) is the most frequent RNA modification in mammals, and its role in bladder cancer (BC) remains rarely revealed. To predict the value of m6A-related genes in prognosis and immunity in BC. We performed multiple omics analysis of 618 TCGA and GEO patients and used principal component analysis (PCA) to calculate the m6A score for BC patients. We described the multiple omics status of 23 m6A methylation-related genes (MRGs), and four m6A clusters were identified, which showed significant differences in immune infiltration and biological pathways. Next, we intersected the differential genes among m6A clusters, and 11 survival-related genes were identified, which were used to calculate the m6A score for the patients. We found that the high-score (HS) group showed lower tumor mutation burden (TMB) and TP53 mutations and better prognosis than the low-score (LS) group. Lower immune infiltration, higher expression of PD-L1, PD-1, and CTLA4, and higher immune dysfunction and immune exclusion scores were identified in the LS group, suggesting a higher possibility of immune escape. Finally, the experimental verification shows that the m6A related genes, such as IGFBP1, plays an important role in the growth and metastasis of bladder cancer. These findings revealed the important roles of m6A MRGs in predicting prognosis, TMB status, TP53 mutation, immune functions and immunotherapeutic response in BC.

Prediction of response to neoadjuvant chemotherapy by MammaTyper® across breast cancer subtypes: A retrospective cross-sectional study

BackgroundNeoadjuvant chemotherapy (NACT) is widely used in the treatment of triple-negative and HER2-positive breast cancer (BC), but its use in estrogen receptor (ER) and/or progesterone receptor (PR) positive/HER2-negative BC is questioned because of the low pathologic complete response (pCR) rates. This retrospective study assessed the mRNA-based MammaTyper® assay's capability of predicting pCR with NACT, and ER, PR, Ki67, and HER2 status at immunohistochemical (IHC) through transcriptomics. MethodsDiagnostic biopsies from 76 BC patients treated at the Cremona Hospital between 2012-2018 were analyzed. Relative mRNA expression levels of ERBB2, ESR1, PGR, and MKI67 were measured using the MammaTyper® kit and integrated into a pCR score. Predicting capability of pCR and standard IHC biomarkers could be assessed with ROC curves in 75 and 76 patients, respectively. ResultsOverall, 68.0% patients obtained a MammaTyper® high-score and 32.0% a MammaTyper® low-score. Among high-score patients, 62.7% achieved pCR, compared to 16.7% in the low-score group (p = 0.0003). The binary MammaTyper® score showed good prediction of pCR in the overall cohort (area under curve [AUC] = 0.756) and in HR+/HER2-negative cases (AUC = 0.774). In cases with residual disease, the continuous MammaTyper® score correlated moderately with residual tumor size and decrease in tumor size. MammaTyper® showed substantial agreement with IHC for ESR1/ER and ERBB2/HER2, and moderate agreement for PGR/PR and MKI67/Ki67. ConclusionOverall, MammaTyper® pCR score may serve as a standardized tool for predicting NACT response in HR+/HER2-negative BC, potentially guiding treatment strategies. Additionally, it could provide a more standardized and reproducible assessment of ER, PR, HER2, and Ki67 status.

TMErisk score: A tumor microenvironment-based model for predicting prognosis and immunotherapy in patients with head and neck squamous cell carcinoma

Tumor microenvironment (TME) is closely associated with the progression and prognosis of head and neck squamous cell carcinoma (HNSCC). To investigate potential biomarkers for predicting therapeutic outcomes in HNSCC, we analyzed the immune and stromal status of HNSCC based on the genes associated with TME using the ESTIMATE algorithm. Immune and stromal genes were identified with differential gene expression and weighted gene co-expression network analysis (WGCNA). From these genes, 118 were initially selected through Cox univariate regression and then further input into least absolute shrinkage and selection operator (LASSO) regression analysis. As a result, 11 genes were screened out for the TME-related risk (TMErisk) score model which presented promising overall survival predictive potential. The TMErisk score was negatively associated with immune and stromal scores but positively associated with tumor purity. Individuals with high TMErisk scores exhibited decreased expression of most immune checkpoints and all human leukocyte antigen family genes, and reduced abundance of infiltrating immune cells. Divergent genes were mutated in HNSCC. In both high and low TMErisk score groups, the tumor protein P53 exhibited the highest mutation frequency. A higher TMErisk score was found to be associated with reduced overall survival probability and worse outcomes of immunotherapy. Therefore, the TMErisk score could serve as a valuable model for the outcome prediction of HNSCC in clinic.

Coronary artery disease severity and risk stratification of patients with non ST-elevation acute coronary syndrome using CHA2DS2-VASc-HSF score

BackgroundRisk stratification assessment of patients with non-ST elevation acute coronary syndrome (NSTE ACS) plays an important role in optimal management and defines the patient’s prognosis. This study aimed to evaluate the ability of CHA2DS2-VASc-HSF score (comprising of the components of the CHA2DS2-VASc score with a male instead of female sex category, hyperlipidemia, smoking, and family history of coronary artery disease respectively) to predict the severity and complexity of CAD and its efficacy in stratification for major adverse cardiovascular events (MACE) in patients with NSTE ACS without known atrial fibrillation.MethodsThis study included 200 patients (males 72.5%, mean age 55.8 ± 10.1 years) who were admitted with NSTE ACS. CHA2DS2-VASC-HSF score was calculated on admission. Patients were classified into three groups according to their CHA2DS2-VASC-HSF score: low score group (< 2; 29 patients), intermediate score group (2–4; 83 patients), and high score group (≥ 5; 88 patients). Coronary angiography was conducted and the Syntax score (SS) was calculated. Clinical follow-up at 6 months of admission for the development of MACE was recorded.ResultsSS was significantly high in the high CHA2DS2-VASc-HSF score group compared with low and intermediate score groups. CHA2DS2-VASc-HSF score had a significant positive strong correlation with syntax score (r = 0.64, P < 0.001). Smoking, vascular disease, hyperlipidemia, and CHA2DS2-VASc-HSF score were independent predictors of high SS. For the prediction of severe and complex CAD, CHA2DS2-VASc-HSF score had a good predictive power at a cut-off value ≥ 5 with a sensitivity of 86% and specificity of 65%. Hypertension, vascular disease, high SS, and CHA2DS2-VASc-HSF score were independent predictors of MACE. CHA2DS2-VASC-HSF score ≥ 4 was identified as an effective cut-off point for the development of MACE with 94% sensitivity and 70% specificity.ConclusionsCHA2DS2-VASC-HSF score is proposed to be a simple bedside score that could be used for the prediction of the severity and complexity of CAD as well as a risk stratification tool for the development of MACE in NSTE ACS patients.

Assessing the Impact of Preoperative MRI-Based Vertebral Bone Quality Scores on 5-Year Prognosis in Lumbar Spine Surgery.

Retrospective cohort study. To assess the utility of preoperative vertebral bone quality (VBQ) scores in predicting the 5-year clinical outcomes following lumbar spine surgery. Osteoporosis poses a significant concern in older adults undergoing spinal surgery. The VBQ score, assessed through preoperative magnetic resonance imaging (MRI), is associated with subsequent osteoporotic fractures and postoperative complications. However, previous report on the impact of VBQ score on mid-term clinical outcomes after lumbar spine surgery remains lacking. A total of 189 patients who underwent lumbar surgery (≤3-disc levels) for lumbar spinal stenosis between 2010 and 2016 were enrolled. Patients were classified into high (>3.35), middle (2.75 to 3.35), and low (<2.73) VBQ score groups based on tertiles. Clinical scores, including Japanese Orthopedic Association Back Pain Evaluation Questionnaire (JOABPEQ) and Short Form-36 (SF-36), were recorded preoperatively and 1, 2, and 5 years postoperatively. Comparative analysis showed significant differences among the VBQ groups throughout the study period in low back pain (P=0.013), walking ability (P=0.005), social life function (P=0.010) of JOABPEQ, and physical component summary of the SF-36 (P=0.018) following lumbar spine surgery. A higher VBQ score was significantly correlated with worse 5-year postoperative outcomes for all domains except for lumbar function of the JOABPEQ using multiple linear regression analysis, adjusting for age, sex, BMI, hyperlipidemia, surgical procedures, and each preoperative score. A high preoperative VBQ score is a risk factor for poor 5-year clinical outcomes after lumbar spine surgery. Evaluation of the VBQ score through routine preoperative MRI facilitates osteoporotic screening in lumbar patients without radiation exposure and healthcare costs, while also demonstrating its potential as a prognostic indicator of postoperative clinical outcomes. 3.

DGPRI, a new liver fibrosis assessment index, predicts recurrence of AFP-negative hepatocellular carcinoma after hepatic resection: a single-center retrospective study

Although patients with alpha-fetoprotein-negative hepatocellular carcinoma (AFPNHCC) have a favorable prognosis, a high risk of postoperative recurrence remains. We developed and validated a novel liver fibrosis assessment index, the direct bilirubin-gamma-glutamyl transpeptidase-to-platelet ratio (DGPRI). DGPRI was calculated for each of the 378 patients with AFPNHCC who underwent hepatic resection. The patients were divided into high- and low-score groups using the optimal cutoff value. The Lasso-Cox method was used to identify the characteristics of postoperative recurrence, followed by multivariate Cox regression analysis to determine the independent risk factors associated with recurrence. A nomogram model incorporating the DGPRI was developed and validated. High DGPRI was identified as an independent risk factor (hazard ratio = 2.086) for postoperative recurrence in patients with AFPNHCC. DGPRI exhibited better predictive ability for recurrence 1–5 years after surgery than direct bilirubin and the gamma-glutamyl transpeptidase-to-platelet ratio. The DGPRI-nomogram model demonstrated good predictive ability, with a C-index of 0.674 (95% CI 0.621–0.727). The calibration curves and clinical decision analysis demonstrated its clinical utility. The DGPRI nomogram model performed better than the TNM and BCLC staging systems for predicting recurrence-free survival. DGPRI is a novel and effective predictor of postoperative recurrence in patients with AFPNHCC and provides a superior assessment of preoperative liver fibrosis.

Exploring the characteristics of undergraduates’ Critical thinking development in peer interaction via epistemic network analysis

Although peer interaction has been considered a way to develop students’ critical thinking, there has been a lack of comprehensive exploration of the teaching strategy of analyzing undergraduates’ peer interaction regarding critical thinking skills and dispositions. In this study, 33 third-year undergraduates participated in a peer interactive learning activity. By means of Epistemic Network Analysis (ENA), the characteristics of developing critical thinking in peer interaction of high- and low-scoring groups were revealed. It was found that undergraduates’ critical thinking mainly involved the critical thinking skills of analysis, evaluation, and inference, more than the critical thinking dispositions of curiosity, open-mindedness, persistence, and reflection. High-scoring group students’ critical thinking had more associations among persistence, analysis, evaluation, inference, and open-mindedness, while low-scoring group students’ critical thinking had more associations with curiosity, analysis, and inference. Moreover, the high- and low-scoring group students who engaged in peer interactive learning activities at each stage exhibited statistically significant differences in critical thinking characteristics including connectivity and interdependence. The low-scoring groups focused on critical thinking skills, whereas the high-scoring groups were driven by critical thinking dispositions. Finally, interventions for developing critical thinking are discussed, and suggestions are made to assist in designing and implementing future peer interactive learning activities.

Longitudinal neurocognitive trajectories and risk factors in the first three months following pediatric concussion

ABSTRACT Objective To identify differential trajectories of neurocognitive outcomes following pediatric concussion and investigate predictors associated with patterns of recovery up to 3 months. Methods 74 participants aged 8–17 years completed attention/working memory, processing speed, and executive function measures at 2 weeks, 1 month, and 3 months post-injury. We used principal component analysis to generate a composite of information processing. Group-based trajectory modeling identified latent trajectories. Multinominal logistic regression was used to examine associations between risk factors and trajectory groups. Results We identified three trajectories of neurocognitive outcomes. The medium (54.6%) and high improving groups (35.8%) showed ongoing increase in information processing, while the low persistent group showed limited change 3 months post-injury. This group recorded below average scores on Digit Span Forward and Backward at 3 months. History of pre-injury headache was significantly associated with the persistent low scoring group, relative to the medium improving (p = 0.03) but not the high improving group (p = 0.09). Conclusions This study indicates variability in neurocognitive outcomes according to three differential trajectories, with groups partially distinguished by preexisting child factors (history of frequent headaches). Modelling that accounts for heterogeneity in individual outcomes is essential to identify clinically meaningful indices that are indicative of children requiring intervention.

Clinical significance of residual ischaemia in acute myocardial infarction complicated by cardiogenic shock undergoing venoarterial-extracorporeal membrane oxygenation.

Although culprit-only revascularization during the index procedure has been recommended in patients with acute myocardial infarction (AMI) complicated by cardiogenic shock (CS), the reduction in residual ischaemia is also emphasized to improve clinical outcomes. However, few data are available about the significance of residual ischaemia in patients undergoing mechanical circulatory supports. This study aimed to evaluate the effects of residual ischaemia on clinical outcomes in patients with AMI undergoing venoarterial-extracorporeal membrane oxygenation (VA-ECMO). Patients with AMI with multivessel disease who underwent VA-ECMO due to refractory CS were pooled from the RESCUE and SMC-ECMO registries. The included patients were classified into three groups according to residual ischaemia evaluated using the residual Synergy between percutaneous coronary intervention with Taxus and Cardiac Surgery (SYNTAX) score (rSS): rSS = 0, 0 < rSS ≤ 8, and rSS > 8. The primary outcome was 1-year all-cause death. A total of 408 patients were classified into the rSS = 0 (n = 100, 24.5%), 0 < rSS ≤ 8 (n = 136, 33.3%), and rSS > 8 (n = 172, 42.2%) groups. The cumulative incidence of the primary outcome differed significantly according to rSS (33.9 vs. 55.4 vs. 66.1% for rSS = 0, 0 < rSS ≤ 8, and rSS > 8, respectively, overall P < 0.001). In a multivariable model, rSS was independently associated with the risk of 1-year all-cause death (adjusted hazard ratio 1.03, 95% confidence interval 1.01-1.05, P = 0.003). Conversely, the baseline SYNTAX score was not associated with the risk of the primary outcome. Furthermore, when patients were stratified by rSS, the primary outcome did not differ significantly between the high and low delta SYNTAX score groups. In patients with AMI with refractory CS who underwent VA-ECMO, residual ischaemia was associated with an increased risk of 1-year mortality. Future studies are needed to evaluate the efficacy and safety of revascularization strategies to minimize residual ischaemia in patients with CS supported with VA-ECMO. REtrospective and Prospective Observational Study to Investigate Clinical oUtcomes and Efficacy of Left Ventricular Assist Device for Korean Patients With Cardiogenic Shock (RESCUE), NCT02985008.

Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study.

To explore the joint association of dietary patterns and adiposity with colorectal cancer (CRC), and whether adiposity mediates the relationship between dietary patterns and CRC risk, which could provide deeper insights into the underlying pathogenesis of CRC. The data of 307,023 participants recruited between 2006 and 2010 were extracted from the UK Biobank study. Healthy diet scores were calculated based on self-reported dietary data at baseline, and participants were categorized into three groups, namely, low, intermediate, and high diet score groups. Cox regression models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the effects of the healthy diet score on CRC incidence, adjusting for various covariates. Furthermore, the mediation roles of obesity and central obesity between the healthy diet score and CRC risk were assessed using a counterfactual causal analysis based on Cox regression model. Additionally, joint association between dietary patterns and adiposity on CRC risks was assessed on the additive and multiplicative scales. Over a median 6.2-year follow-up, 3,276 participants developed CRC. After adjusting for sociodemographic and lifestyle factors, a lower risk of CRC incidence was found for participants with intermediate (HR = 0.83, 95% CI: 0.72 to 0.95) and high diet scores (HR = 0.73, 95% CI: 0.62 to 0.87) compared to those with low diet scores. When compared with the low diet score group, obesity accounted for 4.13% and 7.93% of the total CRC effect in the intermediate and high diet score groups, respectively, while central obesity contributed to 3.68% and 10.02% of the total CRC risk in the intermediate and high diet score groups, respectively. The mediating effect of adiposity on CRC risk was significant in men but not in women. Concurrent unhealthy diet and adiposity multiplied CRC risk. Adiposity-mediated effects were limited in the link between dietary patterns and CRC incidence, implying that solely addressing adiposity may not sufficiently reduce CRC risk. Interventions, such as improving dietary quality in people with adiposity or promoting weight control in those with unhealthy eating habits, may provide an effective strategy to reduce CRC risk.

Integrated single-cell and bulk RNA-sequencing data reveal molecular subtypes based on lactylation-related genes and prognosis and therapeutic response in glioma

ObjectivesGlioma, the most common and aggressive form of brain cancer, possesses a complex biology, which makes elucidating its underlying mechanisms and developing effective treatment strategies challenging. Lactylation is a recently discovered post-translational modification and has emerged as a novel research target to understand its role in various biological processes and diseases. Herein, we explored the role of lactylation in gliomas. MethodsSingle-cell RNA-sequencing (scRNA-seq) data were downloaded from the Tumour Immune Single-Cell Hub database. The R package ‘Seurat’ was used for processing the scRNA-seq data. Lactylation-related genes were identified from published literature and the Molecular Signatures Database. An unsupervised clustering method was used to identify glioma subtypes based on identified lactylation-related genes. Differences among the various clusters were examined, including clinical features, differentially expressed genes (DEGs), enriched pathways and immune cell infiltrates. A lactylation score was generated to predict the overall survival (OS) of patients with glioma using DEGs between the two clusters. ResultsThe lactylation-related genes were obtained from the scRNA-seq data, identifying two molecular subtypes, and a prognostic signature was established to stratify patients with glioma into high- and low-score groups. Analysis of the tumour immune microenvironment revealed that patients in the high-score group exhibited increased immune cell infiltration, chemokine expression and immune checkpoint expression but exhibited worse OS and better response to immunotherapy. ConclusionsAltogether, we established a novel signature based on lactylation-related clusters for robust survival prediction and immunotherapeutic response in gliomas.

Psychometric testing of the Chinese version of the Perceived Maternal Parenting Self-Efficacy Scale among postpartum women.

Maternal parenting self-efficacy plays a critical role in facilitating positive parenting practices and successful adaption to motherhood. The Perceived Maternal Parenting Self-Efficacy Scale (PMPS-E), as a task-specific measure, confirms its psychometric properties in cultural contexts. Compared with other tools, the advantages of the PMPS-E are as follows: (i) specific context or time period during the lifespan of a child, (ii) explicitly assess parenting self-efficacy across a diverse enough range of parenting tasks or activities during the perinatal/postnatal period and (iii) having robust psychometric properties. The aim of this study was to translate and determine the psychometric properties of the PMPS-E among Chinese postpartum women (C-PMPS-E). The cross-cultural adaptation process followed Beaton et al.'s intercultural debugging guidelines. A total of 471 women were included to establish the psychometric properties of the C-PMPS-E. Mothers were asked to complete the C-PMPS-E, Edinburgh Postnatal Depression Scale (EPDS), the Generalized Anxiety Disorder-7 (GAD-7) and several demographic questions. The psychometric testing of the C-PMPS-E was established through item analysis, construct validity and internal consistency reliability. Item analysis showed that the critical ratios of all items were greater than 3 between the low-score group and high-score group, and all item-total correlation coefficients were greater than 0.4. The fit indices showed that the original correlated four-factor model of C-PMPS-E was observed to be an excellent fit to the data. The PMPS-E was negatively correlated with the EPDS and GAD-7 demonstrating its discriminant validity. As expected, no significant correlation was found between PMPS-E total or subscale scores and mothers' age. In addition, statistically significant differences for parity were detected for C-PMPS-E total and subscale scores with multipara having higher scores. This was taken as further evidence of the scale known-groups discriminant validity. In terms of internal consistency, the Cronbach's alpha of the C-PMPS-E total scale was 0.950, and subscales ranged from 0.76 to 0.89. Furthermore, a ROC curve analysis was conducted to establish the ability of the C-PMPS-E to distinguish between symptoms of depression and symptoms of anxiety. A cut-off value of 55 was identified that resulted in good specificity and fair sensitivity. The C-PMPS-E is a reliable and valid tool to assess maternal parenting self-efficacy in a Chinese context.

Analyzing HALP and PNI scores as prognostic factors in metastatic head and neck cancers

ObjectiveThis study investigates the prognostic significance of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score and Prognostic Nutritional Index (PNI) in metastatic head and neck cancers. MethodsRetrospective analysis was conducted on data obtained from January 2014 to June 2022 for 68 patients using rigorous statistical methods. HALP and PNI scores, derived from routine laboratory parameters, were categorized into low and high groups using respective median values. Prognostic significance was determined through Kaplan–Meier survival analyses and Cox proportional hazards regression using IBM SPSS Statistics. ResultsOf the 68 patients (80.9% male, median age 57), 39 (57.4%) had laryngeal cancer. When stratified by low and high HALP scores, the median overall survival (OS) was 5.9 and 16.4 months, respectively (P < 0.001), while the median progression-free survival (PFS) was 5.7 months and 8.2 months, respectively (P: 0.016). In the low and high PNI score groups, the median OS was 7 and 13.2 months (P < 0.001), with median PFS of 5.6 months and 8.2 months (P: 0.002), respectively. In the multivariate analysis, while the HALP score did not reach statistical significance in terms of PFS, the PNI score and age groups were found to be statistically significant. In terms of OS, higher HALP score and PNI scores were significantly associated with longer OS. ConclusionIn this study, the HALP score and PNI score were found to be a prognostic factor in patients with metastatic head and neck cancer.

Association between ascites Gustave Roussy immune score and the intratumoural microbiome in malignant ascites secondary to hepatocellular carcinoma

BackgroundsThe Gustave Roussy Immune (GRIm) score predicts survival outcomes in several cancers. However, the prognostic significance of the GRIm score in patients with malignant ascites has not yet been investigated. MethodsClinical samples were collected from a cohort of patients with malignant ascites secondary to hepatocellular carcinoma (HCC). We calculated serum GRIm (sGRIm) and ascites GRIm (aGRIm) scores and divided the samples into low and high GRIm score groups. Survival analysis was used to compare the prognostic significance of the sGRIm and aGRIm scores. 16S rRNA sequencing was performed to determine the profiles of the intratumoral microbiota in the groups. A fluorescent multiplex immunohistochemistry (mIHC) assay was used to detect the expression of different immune cells by labeling seven markers of malignant ascites. Results155 patients with HCC and malignant ascites were enrolled in this study. Survival analysis revealed that the aGRIm score showed a superior prognostic significance compared to the sGRIm score. Microbial analysis demonstrated that the bacterial richness and diversity were higher in the low aGRIm score group than in the high aGRIm score group. LefSe analysis revealed that certain bacteria were correlated with high aGRIm scores. Fluorescent mIHC displayed the tumor microenvironment of malignant ascites and found that the density of CD8 + T cells was significantly higher in the low aGRIm score group than in the high aGRIm score group. ConclusionsOur present study identified a novel scoring system (aGRIm score) that can predict the survival outcome of patients with malignant ascites secondary to HCC.

A multi-omics analysis-based model to predict the prognosis of low-grade gliomas

Lower-grade gliomas (LGGs) exhibit highly variable clinical behaviors, while classic histology characteristics cannot accurately reflect the authentic biological behaviors, clinical outcomes, and prognosis of LGGs. In this study, we carried out analyses of whole exome sequencing, RNA sequencing and DNA methylation in primary vs. recurrent LGG samples, and also combined the multi-omics data to construct a prognostic prediction model. TCGA-LGG dataset was searched for LGG samples. 523 samples were used for whole exome sequencing analysis, 532 for transcriptional analysis, and 529 for DNA methylation analysis. LASSO regression was used to screen genes with significant association with LGG survival from the frequently mutated genes, differentially expressed genes, and differentially methylated genes, whereby a prediction model for prognosis of LGG was further constructed and validated. The most frequently mutated diver genes in LGGs were IDH1 (77%), TP53 (48%), ATRX (37%), etc. Top significantly up-regulated genes were C6orf15, DAO, MEOX2, etc., and top significantly down-regulated genes were DMBX1, GPR50, HMX2, etc. 2077 genes were more and 299 were less methylated in recurrent vs. primary LGG samples. Thirty-nine genes from the above analysis were included to establish a prediction model of survival, which showed that the high-score group had a very significantly shorter survival than the low-score group in both training and testing sets. ROC analysis showed that AUC was 0.817 for the training set and 0.819 for the testing set. This study will be beneficial to accurately predict the survival of LGGs to identify patients with poor prognosis to take specific treatment as early, which will help improve the treatment outcomes and prognosis of LGG.

Role of neoadjuvant rectal score in prognosis and adjuvant chemotherapy decision-making in locally advanced rectal cancer following neoadjuvant short-course radiotherapy and consolidation chemotherapy

Objectives: To assess the prognostic impact of the neoadjuvant rectal (NAR) score following neoadjuvant short-course radiotherapy and consolidation chemotherapy in locally advanced rectal cancer (LARC), as well as its value in guiding decisions for adjuvant chemotherapy. Methods: Between August 2015 and August 2018, patients were eligible from the STELLAR phase III trial (NCT02533271) who received short-course radiotherapy plus consolidation chemotherapy and for whom the NAR score could be calculated. Based on the NAR score, patients were categorized into low (＜8), intermediate (8-16), and high (＞16) groups. The Kaplan-Meier method, log rank tests, and multivariate Cox proportional hazard regression models were used to evaluate the impact of the NAR score on disease-free survival (DFS). Results: Out of the 232 patients, 24.1%, 48.7%, and 27.2% had low (56 cases), intermediate (113 cases), and high NAR scores (63 cases), respectively. The median follow-up period was 37 months, with 3-year DFS rates of 87.3%, 68.3%, and 53.4% (P＜0.001) for the low, intermediate, and high NAR score groups. Multivariate analysis demonstrated that the NAR score (intermediate NAR score: HR, 3.10, 95% CI, 1.30-7.37, P=0.011; high NAR scores: HR=5.44, 95% CI, 2.26-13.09, P＜0.001), resection status (HR, 3.00, 95% CI, 1.64-5.52, P＜0.001), and adjuvant chemotherapy (HR, 3.25, 95% CI, 2.01-5.27, P＜0.001) were independent prognostic factors for DFS. In patients with R0 resection, the 3-year DFS rates were 97.8% and 78.0% for those with low and intermediate NAR scores who received adjuvant chemotherapy, significantly higher than the 43.2% and 50.6% for those who did not (P＜0.001, P=0.002). There was no significant difference in the 3-year DFS rate (54.2% vs 53.3%, P=0.214) among high NAR score patients, regardless of adjuvant chemotherapy. Conclusions: The NAR score is a robust prognostic indicator in LARC following neoadjuvant short-course radiotherapy and consolidation chemotherapy, with potential implications for subsequent decisions regarding adjuvant chemotherapy. These findings warrant further validation in studies with larger sample sizes.