Univariate Analysis Research Articles

Clinical, laboratory, and procedural predictors of slow flow/no reflow phenomenon after emergency percutaneous coronary interventions in ST-elevated myocardial infarction

BackgroundEmergency percutaneous coronary intervention (PCI) is a common treatment for ST-elevated myocardial infarction (STEMI) patients. However, the coronary slow flow/no reflow phenomenon (CSF/NRP) can occur as a complication during or after the procedure. Identifying predictors of CSF/NRP after emergency PCI in STEMI patients can help clinicians anticipate and prevent this complication. In this study, we aimed to investigate clinical, laboratory, and procedural factors that may contribute to the development of CSF/NRP in STEMI patients undergoing PCI.ResultsA total of 460 patients were included in this study, with a mean (± SD) age of 60 ± 12.5 years. The incidence of CSF/NRP was 30.2% (n = 139) among the study population. The univariate analysis showed that older age, lower left ventricular ejection fraction (LVEF), initial thrombolysis in myocardial infarction (TIMI)flow grade 0–2, increased creatinine level, lower estimated glomerular filtration rate (eGFR), diffuse target lesion length, and longer length of stent were significantly associated with the occurrence of CSF/NRP (p < 0.05). However, in the multivariate logistic regression model, only eGFR (OR = 0.98, 95% CI: 0.96–0.99, p = 0.005), diffuse target lesion length (OR = 2.15, 95% CI: 1.20–3.83, p = 0.009) and LVEF (OR = 0.96, 95% CI: 0.94–0.98, p = 0.004) remained significant predictors of CSF/NRP.ConclusionsThe present study demonstrated that diffuse lesion length, lower LVEF, and lower eGFR can be considered as independent predictors of CSF/NRP in STEMI patients.

Paediatric acute liver failure: early outcome and evaluation of transplantation criteria in a Belgian transplantation centre

BackgroundOne of the challenges when caring for children admitted for acute liver failure (ALF) is to quickly identify those who will improve spontaneously and those for whom liver transplantation (LT) is the only therapeutic option.MethodsRetrospective study to review our experience, identify mortality risk factors and update our LT criteria in case of paediatric ALF.Results111 children were admitted between March 1989 and May 2021 (mean age 59.1 months). 28 children never met our LT criteria; 17 had contraindication to LT; 66 were registered on the LT waitlist. 14 of these 66 were subsequently withdrawn because of spontaneous liver function recovery; 11 died before having received a liver; 41 were transplanted. Hospital survival rate was 63% for the whole series, 98% for the children without LT criteria and 71% for the transplanted children. Univariate analysis identified cardiovascular and respiratory failures on admission, and grade 4–5 hepatic encephalopathy (HE) during stay significantly associated with death. Non-survivors also had, on admission and during their stay, significantly higher levels of lactate, ammonia and bilirubin and, during their stay, significantly more frequent prothrombin time ≤ 25% or international normalized ratio ≥ 4.0 than the survivors. Multivariate analysis identified grade 4–5 HE, lactate level on admission and ammonia peak level as significant mortality risk factors.ConclusionOur criteria identified almost all children who had the capacity to spontaneously recover their liver function and suggest that updated criteria should combine biological tests and signs of multiple organ failure.

Impact of bone marrow nucleated cell subfractions on transplant outcomes in patients with acute lymphoblastic leukemia

ABSTRACT Objectives Our previous study showed that a high pre-transplant nucleated cell count in the bone marrow is associated with increased non-relapse mortality (NRM) and decreased overall survival (OS) in patients with acute lymphoblastic leukemia (ALL) in remission. In this retrospective multicenter study, we aimed to examine the association between nucleated cell subfractions and transplant outcomes using the same patient cohort as our previous study. Methods This study included patients with ALL who underwent their first allogeneic hematopoietic stem cell transplantation (allo-HSCT) between 2010 and 2022. The patients were stratified into high and low cell group levels to compare transplant outcomes using cutoff values for predicting OS in each subfraction determined using receiver operating curves. Results In the cohort of 134 patients, the median values for myeloid, erythroid, monocyte, and lymphocyte series were 16,860/µL (468–229,296), 15,584/µL (34–246,992), 1,446/µL (70–25,296), and 4,215/µL (90–33,856), respectively. Discussion The univariate analysis showed that the groups with high levels of myeloid cells (≥38,000/µL, n = 48), erythroid cells (≥25,000/µL, n = 45), and monocyte cells (≥4,200/µL, n = 44) were all associated with worse 3-year OS and higher NRM than the low-level groups. These findings were confirmed by using multivariate analysis. The high cell count group showed a higher incidence of NRM associated with acute graft-versus-host disease or immunological disorders. Conclusion High myeloid, erythroid, and monocytic cell levels in the bone marrow before allo-HSCT may independently increase the risk of NRM and reduce OS.

Lymph Node Yield and Long-Term Mortality Risk in Patients with Colon Cancer: A 20-Year Follow-Up National Study.

Lymph node status is a well-established prognostic factor for colon cancer, but the optimal number of nodes for accurate staging remains unclear. This study explored the relationship between lymph node yield (LNY) and 5-year mortality rates in colon cancer patients in New Zealand. Data from the New Zealand Cancer Registry were retrospectively analyzed for patients with TNM stage I, II, and III colon cancer between August 2003 and December 2021, with follow-up until January 2024. The primary outcome was the 5-year all-cause mortality rate, with LNY, age, sex, ethnicity, tumor site, district health board (DHB), and the number of positive nodes as covariates. Statistical analyses included univariate analysis, Cox regression modeling, and chi-squared tests. LNY was a significant predictor of 5-year mortality risk (hazard ratio 0.985, p < 0.0001), adjusted for age, sex, ethnicity, tumor site, and DHB. The strongest association between LNY and mortality rate was observed at 12 nodes. Further increases in LNY beyond 22 nodes did not lead to statistically significant differences in mortality rates. Lymph node ratio (LNR) was strongly associated with survival in stage III colon cancer, independent of LNY and the number of positive nodes. Higher LNY is significantly associated with reduced 5-year mortality rates in stage I-III colon cancer up to the 22-node mark. The strong correlation between LNR and mortality highlights its potential value for improving treatment planning in future clinical practice.

Clinical and Molecular Features of Malignant Pleural Effusion in Non-Small Cell Lung Cancer (NSCLC) of a Caucasian Population

Background and Objectives: The diversity of patients with malignant pleural effusion (MPE) due to non-small cell lung cancer (NSCLC) as well as the variability in mutations makes it essential to improve molecular characterization. Objective: Describe clinical, pathological, and molecular characteristics MPE in a Caucasian population. Materials and Methods: Retrospective study of patients with NSCLC diagnosis who had undergone a molecular study from 1 January 2018–31 December 2022. Univariate analysis was performed to compare patient characteristics between the group with and without MPE and molecular biomarkers. Results: A total of 400 patients were included; 53% presented any biomarker and 29% had MPE.PDL1, which was the most frequent. EGFR mutation was associated with women (OR:3.873) and lack of smoking (OR:5.105), but not with MPE. Patients with pleural effusion were older and had lower ECOG. There was no significant difference in the presence of any biomarker. We also did not find an association between the presence of specific mutations and MPE (22.4% vs. 18%, p = 0.2), or PDL1 expression (31.9% vs. 35.9%, p = 0.3). Being younger constituted a protective factor for the presence of MPE (OR:0.962; 95% CI 0.939–0.985, p = 0.002), as well as ECOG ≤ 1 (OR:0.539; 95% CI 0.322–0.902, p = 0.01). Conclusions: This is the first study that describes the clinical, pathological, and molecular characteristics of MPE patients due to NSCLC in a Caucasian population. Although overall we did not find significant differences in the molecular profile between patients with MPE and without effusion, EGFR mutation was associated with a tendency towards pleural progression.

Glucocorticoid Receptor Isoforms in Breast Cancer Raise Implications for Personalised Supportive Therapies

Glucocorticoid receptor (GR) activation may promote metastasis in oestrogen receptor-negative and triple-negative breast cancer (TNBC). However, the role of the GRβ isoform, which has opposing effects to the main isoform, has not been studied in clinical samples. We aimed to analyse the intracellular localisation of total GR and GRβ in vitro using plasmid constructs and fluorescent immunocytochemistry. Additionally, our goal was to perform immunostaining for total GR and GRβ on two cohorts: (i) on 194 clinical breast cancer samples to compare the expression in different molecular subtypes, and (ii) on 161 TNBC samples to analyse the association of GR with survival. We supplemented our analysis with RNA data from 1097 TNBC cases. We found that in the absence of the ligand, GR resided in the cytoplasm of breast cancer cells, while upon ligand activation, it translocated to the nucleus. A negative correlation was found between cytoplasmic GRtotal and Ki67 in luminal A tumours, while the opposite trend was observed in TNBC samples. Tumours with strong lymphoid infiltration showed higher cytoplasmic GRtotal staining compared to those with weaker infiltration. Patients with high nuclear GRtotal staining had shorter progression-free survival in univariate analysis. High cytoplasmic GRβ was a marker for better overall survival in multivariate analysis (10-year overall survival HR [95% CI]: 0.46 [0.22–0.95], p = 0.036). As a conclusions, this study is the first to investigate GRβ expression in breast tumours. Different expression and cellular localisation of GRtotal and GRβ were observed in the context of molecular subtypes, underscoring the complex role of GR in breast cancer. An inverse association between cytoplasmic GRtotal and the Ki67 proliferation index was observed in luminal A and TNBC. Regarding the impact of GR on outcomes in TNBC patients, while cytoplasmic GRβ was associated with a better prognosis, patients with nuclear GRtotal staining may be at a higher risk of disease progression, as it negatively affects survival. Caution should be exercised when using glucocorticoids in patients with nuclear GR staining, as it may negatively impact survival.

What determines the accessibility of early childhood education in Bangladesh?

This paper aims to understand the potential factors influencing the accessibility of early childhood education (ECE) in Bangladesh. Utilising data from the Multiple Indicator Cluster Survey (MICS) 2019, this study explored the influence of individual, household, socio-economic as well as geographical variables on ECE enrollment. It employed a comprehensive approach, which involved using descriptive statistics for univariate analysis, chi-square and t-statistics for bivariate analysis, and the logit model for multivariate analysis. The findings revealed that a child’s likelihood of attending an ECE program increases with their age, while those with functional difficulties and larger household sizes exhibit lower odds of attendance. Children with mothers possessing higher education levels demonstrated increased odds of ECE enrollment. Wealthy households and urban or Mymensingh division residency were associated with higher odds of ECE enrollment, while Barishal, Rajshahi, and Sylhet divisions indicated lower odds. To enhance ECE accessibility, the study recommends implementing a roadmap for ensuring universal early childcare and early education with an emphasis on socioeconomically underprivileged children, particularly in rural areas. Proposed strategies may include providing financial assistance to poor households and fostering public–private partnerships for ECE provision in remote regions like Barishal, Rangpur, Rajshahi, and Sylhet divisions. Moreover, it is crucial to make parents and communities aware about the significance of ECE in order to make sure that children ages 3–5 years are involved in ECE programs.

Significant Effect of Carbon-Ion Radiation Therapy Combined With Androgen Deprivation on Biochemical Recurrence Rates in High-Risk Prostate Cancer Patients: A Two-Center Controlled Trial Compare With X-Ray External Beam Radiation Therapy.

To compare the effects of carbon-ion radiation therapy (CIRT) and external beam radiotherapy (EBRT) on the prognosis of patients with prostate cancer. The effects of initial prostate-specific antigen (iPSA), clinical Tumor (cT) stage, radiotherapy method, and other clinical factors on the prognosis of 577 patients with radiotherapy were analyzed. Cox regression analysis showed that CIRT (RR: 0.49, p = 0.0215), cT stage ≥ 3 (RR: 2.72, p = 0.0003), and iPSA ≥ 16 ng/mL (RR: 1.74, p = 0.0347) were independent predictors of biochemical recurrence (BCR). After propensity score matching (PSM), CIRT (RR: 0.42, p = 0.0147), cT stage ≥ 3 (RR: 2.55, p = 0.0092), and iPSA ≥ 16 ng/mL (RR: 2.12, p = 0.0366) were still the predictors of univariate analysis. In multivariate analysis, CIRT (RR: 0.42, p = 0.015) and cT stage≥ 3 (RR:2.21, p = 0.0332) were independent predictors of BCR. Among them, we used iPSA and cT stages to establish a new radiotherapy selection model based on BCR risk. Patients who met more than one factor (score ≥ 1) and underwent CIRT had significantly better BCR progression-free survival (PFS) than those who received EBRT (p ≤ 0.01). This was also confirmed by Kaplan-Meier analysis after PSM. CIRT patients exhibited lower 5-year BCR rates compared to the EBRT group. Patients with a risk score of our model ≥ 1 undergoing CIRT were more likely to experience BCR benefits compared to those receiving EBRT.

Predictive Value of GINI and ALBI Grades in Esophageal Cancer Receiving Chemoradiotherapy

Objectives: The principal objective of this study was to assess the predictive efficacy of the global immune–nutrition–inflammation index (GINI) and the albumin–bilirubin (ALBI) score among patients receiving chemoradiotherapy for esophageal cancer. Methods: A retrospective analysis was conducted on 46 patients who received definitive or neoadjuvant radiotherapy for esophageal cancer at our institution. Blood samples were collected from these patients prior to the initiation of radiotherapy to measure the biomarkers, including the C-reactive protein (CRP), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), the global immune–nutrition–inflammation index (GINI), and the albumin–bilirubin (ALBI) grade. The predictive significance of these biomarkers for progression-free survival (PFS) and overall survival (OS) was evaluated using both univariate and multivariate Cox regression analyses. Results: The median follow-up time for this study was 19.5 months (range: 2.6–166.3 months). Univariate analysis revealed that the platelet count (p = 0.003) and monocyte count (p = 0.04) were significant predictors of PFS. In the multivariate analysis, only the platelet count (p = 0.005) remained an independent predictor of PFS. Univariate analysis demonstrated that the neutrophil count (p = 0.04), lymphocyte count (p = 0.01), NLR (p = 0.005), PLR (p = 0.004), CRP (p = 0.02), ALBI grade (p = 0.01), and GINI (p = 0.005) were significant predictors of OS. Multivariate analysis identified the GINI as a predictor of OS, approaching statistical significance (p = 0.08). Conclusion: The results of our study indicate that the pretreatment GINI and ALBI grades are significantly and independently associated with the OS rates in patients with esophageal cancer who are undergoing chemoradiotherapy.

Five-item Modified Frailty Index in Elderly Patients Undergoing Laparoscopic Colorectal Surgery Predicts Postoperative Complications.

Owing to underlying diseases and decreased physiological functions, frailty in elderly patients may be associated with adverse postoperative complications and mortality. To date, there are various frailty assessment methods, with the five-item modified frailty index (mFI-5) being an objective and concise evaluation tool. This study aimed to clarify whether mFI-5 scoring, a measure of frailty, can predict postoperative outcomes in elderly patients undergoing laparoscopic colorectal surgery. A total of 107 patients aged over 80 years who underwent laparoscopic colorectal surgery at Nagasaki University Hospital between 2011 and 2018 were included in this study. The mFI-5 was used to assess the preoperative condition of each patient, with scores compared against various postoperative outcome measures. Univariate analysis was used to determine between-group differences for pre- and post-operative variables. Of the 107 patients [median age, 83 (80-99) years], 44.9% were male. The mFI-5 score was calculated and patients were divided into three groups: 0 (n=36, 33.6%); 1 (n=44, 41.1%); and 2+ (n=27, 25.3%). The groups were significantly associated with the American Society of Anesthesiology (ASA) classification (p<0.001). Postoperative complications occurred in 43 patients (40.2%), and a higher mFI-5 score was significantly associated with postoperative complications of Clavien-Dindo grade ≥III and duration of hospital stay. The mFI-5 is an objective and useful tool for predicting postoperative complications of laparoscopic surgery in elderly patients with colorectal cancer.

Tumor regression after neoadjuvant hormonal therapy in high risk prostate cancer: pathological outcomes from a randomized phase II trial.

High-risk localized prostate cancer (HRLPC) commonly progresses to metastatic disease after local treatment. Neoadjuvant androgen deprivation therapy (nADT) before radical prostatectomy (RP) has recently been suggested to improve early oncological outcomes in HRLPC. We aimed to perform an exploratory analysis of the pathological outcomes from a prospective trial testing nADT before RP. Prospective, single-centered, phase II, randomized trial performed between October 2018 and July 2021. Random assignment (1:1) for nADT modalities: goserelin (10.8mg) plus abiraterone acetate (1000mg/d) plus prednisone (5mg/d), with or without apalutamide (240mg/d) for 12 weeks, followed by RP (within 30 days) and extended lymph node dissection. Baseline clinical and pathological variables were assessed in needle biopsies before nADT. Tumor regression was histologically evaluated in surgical specimens using the residual cancer burden index (RCB). Sixty-two patients reached the surgical phase. Good response (RCB ≤ 0.25cm³) was achieved in 14 patients (22.5%). Overall stage migration rate between baseline status (MRI before nADT) and final status (after surgery) was 27.4%. Late stage detection (high tumor burden, perineural invasion) and altered PTEN/ERG immunostatus showed significant association with poor response in univariate analysis. Higher baseline tumor burden was the only independent factor related to poor response in multivariate analysis. There are subgroups of patients, such as those with low baseline cancer burden and PTEN/ERG wild-type status, more likely to achieve good response with nADT. In the case of long term oncological benefit to be proven, nADT might be an additional therapeutic resource for these patients.

Role of tumor-specific and whole-body imaging biomarkers for prediction of recurrence in patients with stage III colorectal cancer.

Imaging biomarkers are emerging as non-invasive predictors of cancer prognosis and clinical outcome. We assessed tumor-specific ("radiomics") and body composition imaging features ("morphomics") extracted from baseline pre-treatment CT for prediction of recurrence in patients with stage III colorectal cancer (CRC). Patients with newly diagnosed stage III CRC were enrolled in this prospective observational study. Patients with available preoperative scans were included (N = 101). The tumor, if visible, was manually segmented and first-order radiomics features were extracted with a commercially available software. The morphomics features (reflecting muscle, fat, and bone characteristics) were extracted in a standardized fashion using a proprietary software and the values were adjusted and normalized based on a reference standard. Time to recurrence was the final outcome. Correlation between demographics, clinical features, radiomics, and morphomics features and outcome were assessed using univariate and multivariate tests as well as Kaplan-Meier and log-rank tests. Morphomic analysis was performed in all 101 patients. 60 patients had discrete tumors suitable for radiomics analysis. These patients had lower ECOG score (p < 0.05), more muscle mass (p > 0.05), and lower fat density (p > 0.05) compared to the patients in whom radiomics analysis could not be performed. Pathological stage (HR: 2.69; p = 0.03), CEA level after surgery (HR: 1.11 for 1ng/mL; p < 0.005), bone mineral density (HR: 1.01 for 1 Hounsfield Unit; p < 0.01), and tumor skewness (HR: 0.33 for 1 unit; p < 0.05) had association with recurrence based on both univariate and multivariate analyses. A model using Cox's regression analyses was able to divide the patients into low-, medium-, and high-risk for recurrence. Both radiomics and morphomics features were independently associated with the risk of CRC recurrence and, when combined, each contributed valuable information to explain risk of recurrence. Clinical trial.gov NCT02842203. Patient recruitment occurred between 22/07/2016 and 18/03/2020.

A preliminary study of developing an MRI-based model for postoperative recurrence prediction and treatment direction of intrahepatic cholangiocarcinoma.

To establish an MRI-based predictive model for postoperative recurrence in intrahepatic cholangiocarcinoma (iCCA) and further to evaluate the model utility in treatment direction for neoadjuvant and adjuvant therapies. Totally 114 iCCA patients with curative surgery were retrospectively included, including 38 patients in the neoadjuvant treatment, traditional surgery, and adjuvant treatment groups for each. Predictive variables associated with postoperative recurrence were identified using univariate and multivariate Cox regression analyses, and a prognostic model was formulated. Recurrence-free survival (RFS) curves were compared using log-rank test between MRI-predicted high-risk and low-risk iCCAs stratified by the optimal threshold. Tumor multiplicity (hazard ratio (HR) = 1.671 [95%CI 1.036, 2.695], P = 0.035), hemorrhage (HR = 2.391 [95%CI 1.189, 4.810], P = 0.015), peri-tumor diffusion-weighted hyperintensity (HR = 1.723 [95%CI 1.085, 2.734], P = 0.021), and positive regional lymph node (HR = 2.175 [95%CI 1.295, 3.653], P = 0.003) were independently associated with postoperative recurrence; treatment group was not significantly related to recurrence (P > 0.05). Independent variables above were incorporated for the recurrence prediction model, the 1-year and 2-year time-dependent area under the curve values were 0.723 (95%CI 0.631, 0.815) and 0.725 (95%CI 0.634, 0.816), respectively. After risk stratification, the MRI-predicted high-risk iCCA patients had higher cumulative incidences of recurrence and worse RFS than the low-risk patients (P < 0.001 for both). In the MRI-predicted high-risk patients, neoadjuvant therapy was associated with improved all-stage RFS (P = 0.034), and adjuvant therapy was associated with improved RFS after 4months (P = 0.014). The MRI-based iCCA recurrence predictive model may serve as a decision-making tool for both personalized prognostication and therapy selection.

Construction of a nomogram risk prediction model for depressive symptoms in elderly breast cancer patients

The primary objective of this study was to identify the factors associated with the development of depressive symptoms in elderly breast cancer (BC) patients and to construct a nomogram model for predicting these symptoms. We recruited 409 patients undergoing BC treatment in the breast departments of two tertiary-level hospitals in Jiangsu Province from November 2023 to April 2024 as our study cohort. Participants were categorized into depressed and non-depressed groups based on their clinical outcomes. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors for depression among BC patients. Multivariate analysis revealed that monthly income, pain score, family support score, and physical activity score significantly influenced the onset of depression in older BC patients (P < 0.05).The risk prediction model, constructed using these identified factors, demonstrated excellent discriminatory power, as evidenced by an area under the ROC curve (AUC) of 0.824. The maximum Youden index was 0.627, with a sensitivity of 90.60%, specificity of 72.10%, and a diagnostic threshold value of 1.501. The results of the Hosmer-Lemeshow goodness-of-fit test (χ² = 3.181, P = 0.923) indicated that the model fit the data well. The calibration curve for the model closely followed the ideal curve, suggesting a strong fit and high predictive accuracy. Our nomogram model exhibited superior predictive performance, enabling healthcare professionals to identify high-risk patients early and implement preventative measures to mitigate the development of depressive symptoms. This study is a cross-sectional study that lacks longitudinal data and has a small sample size. Future research could involve larger samples, multicenter studies, and prospective designs to build better clinical predictive models.

Surgical management and prognostic factors for Endolymphatic Sac Tumor: a single-institute experience with a systematic review

OBJECTIVETo evaluate the clinical features, surgical outcomes, and predictors of progression-free survival (PFS) in patients with Endolymphatic Sac Tumors (ELSTs). METHODSThis retrospective study analyzed 15 cases from Beijing Tiantan Hospital and 237 from literature (1988-2023), focusing on patients with pathologically confirmed intracranial or skull ELSTs who had comprehensive treatment and follow-up records. Univariate and multivariate Cox regression analyses were employed to identify factors influencing PFS. RESULTSCases from our institute comprised 10 males and 5 females with an average age of 39.1 years. Among these, 86.7% underwent gross total resection (GTR). During the follow-up period, two patients (13.3%) were lost to follow-up. After a mean follow-up of 74.9 months, one patient experienced recurrence and another died from unrelated causes. A review of literature identified 237 additional patients, including 134 females (56.5%), with an average age of 39.8 years; 22.8% of these patients had von Hippel-Lindau disease. The GTR rate was 69.2%. After a mean follow up of 53.2 months, 33 recurrences occurred, and the median PFS was 48 months. Additionally, eight patients died during the follow-up period, none of the deaths were attributed to ELSTs. Multivariate analysis identified GTR (HR 0.279, 95% CI 0.086-0.903, p = 0.033) as a significant protective factor against recurrence among the pooled cases. CONCLUSIONSGTR is crucial for improving PFS in ELST patients, emphasizing the need for advanced surgical techniques and long-term follow-up due to potential recurrences.

Five-gene prognostic model based on autophagy-dependent cell death for predicting prognosis in lung adenocarcinoma

Non-small cell lung adenocarcinoma (LUAD) is the predominant form of lung cancer originating from lung epithelial cells, making it the most prevalent pathological type. Currently, reliable indicators for predicting treatment efficacy and disease prognosis are lacking. Despite extensive validation of autophagy-dependent cell death (ADCD) in solid tumor studies and its correlation with immunotherapy effectiveness and cancer prognosis, systematic research on ADCD-related genes in LUAD is limited. We utilized AddModuleScore, ssGSEA, and WGCNA to identify genes associated with ADCD across single-cell and bulk transcriptome datasets. The TCGA dataset, comprising 598 cases, was randomly divided into training and validation sets to develop an ADCD-related LUAD prediction model. Internal validation was performed using the TCGA validation set. For external validation, datasets GSE13213 (119 LUAD samples), GSE26939 (115 LUAD samples), GSE29016 (39 LUAD samples), and GSE30219 (86 LUAD samples) were employed. We evaluated the model’s accuracy and effectiveness in predicting prognostic risk. Additionally, CIBERSORT, ESTIMATE, and ssGSEA techniques were used to explore immunological characteristics, drug response, and gene expression in LUAD. Real-time RT-PCR was conducted to assess variations in mRNA expression levels of the gene XCR1 between cancerous and normal tissues in 10 lung cancer patients. We identified 249 genes associated with autophagy-dependent cell death (ADCD) at both single-cell and bulk transcriptome levels. Univariate COX regression analysis revealed that 18 genes were significantly associated with overall survival (OS). Using LASSO-Cox analysis, we developed an ADCD signature based on five genes (BIRC3, TAP1, SLAMF1, XCR1, and HLA-DMB) and created the ADCD-related risk scoring system (ADCDRS). Validation of this model demonstrated its ability to predict disease prognosis and its correlation with clinical characteristics, immune cell infiltration, and the tumor microenvironment. To enhance clinical applicability, we integrated an ADCDRS nomogram. Furthermore, we identified potential drugs targeting specific risk subgroups. We successfully identified a model based on five ADCD genes to predict disease prognosis and treatment efficacy in LUAD, as well as to assess the tumor immune microenvironment. An efficient and practical ADCDRS nomogram was designed.

Phenotypic Diversity of Morphological Traits of Pitahaya (Hylocereus spp.) and Its Agronomic Potential in the Amazonas Region, Peru

Pitahaya (Hylocereus spp.) is an economically significant cactus fruit in Peru, renowned for its rich nutritional profile and antioxidant properties while exhibiting wide biological diversity. This study aimed to morphologically characterize seven pitahaya accessions using qualitative and quantitative descriptors related to the cladodes, flowers, and fruits. Univariate and multivariate (FAMD, PCA, MCA, and clustering) analyses were employed to identify and classify the accessions based on their morphological traits. The analyses revealed three distinct groups: one consisting solely of AC.07; another with AC.02, AC.04, and AC.06; and a third including AC.01, AC.03, and AC.05. The first group exhibited superior characteristics, particularly in fruit traits such as the stigma lobe count (23.3), number of bracts (26.5 mm), and length of apical bracts (15.75 mm). The second group recorded the highest spine count (3.21), bract length (16.95 mm), and awn thickness (5.12 mm). The third group had the highest bract count (37) and an average locule number (23.65). These findings highlight the significant morphological diversity among the accessions, indicating the potential for classification and selection in pitahaya cultivation. The potential of AC.07 stands out in terms of its agronomic qualities, such as its fruit weight (451.93 g) and pulp weight (292.5 g), surpassing the other accessions.

Thrombocytopenia With High C-reactive Protein in Myeloma Patients Treated With Proteasome Inhibitor and/or Immunomodulatory Drugs.

Background/Aim: Thrombocytopenia is a poor prognostic factor in patients with myeloma; however, the factors associated with thrombocytopenia have not been extensively discussed. This study aimed to investigate the clinical significance of thrombocytopenia, defined as 130×103/μl or less, in patients with newly diagnosed multiple myeloma (NDMM) treated with proteasome inhibitors and/or immunomodulatory drugs. This is a retrospective review of medical records of myeloma patients treated between 2000 and 2021. A total of 241 patients were included in this study, with a median age of 72 years. Overall survival (OS) and time to next treatment (TTNT) were assessed using Kaplan-Meier analysis and Cox regression analysis. Prognostic factors were evaluated by univariate and multivariate analyses. The incidence of thrombocytopenia was 17.8%. In the median follow-up period of 46.6 months, OS and TTNT in the thrombocytopenia group were significantly shorter than those in the non-thrombocytopenia group using multivariate analysis (p<0.001 and p<0.001). C-reactive protein (CRP) level was not associated with thrombocytopenia, and high CRP predicted short OS and TTNT independently from thrombocytopenia. When the low (neither thrombocytopenia nor high CRP), intermediate (either thrombocytopenia or high CRP), and high (thrombocytopenia and high CRP) risk groups were defined, the OS and TTNT among these groups showed significant differences; the hazard ratios for survival in the high and intermediate risk groups were 7.022 and 2.598, and for TTNT, they were 4.216 and 1.887, respectively, compared to the low-risk group. Thrombocytopenia was associated with the activity of NDMM and predicted prognosis in NDMM. When combined with high CRP levels, thrombocytopenia serves as a new indicator of poor prognosis in these patients.

Development and validation of a nomogram for predicting overall survival of head and neck adenoid cystic carcinoma

This study aimed to develop and validate a nomogram using clinical variables to guide personalized treatment strategies for adenoid cystic carcinoma of the head and neck (ACCHN). Data from 1069 patients with ACCHN diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were used to construct the nomogram. External validation was performed using an independent cohort of 70 patients from Fujian Cancer Hospital. Multivariate Cox regression analysis was conducted using IBM SPSS version 26.0 and R Software version 4.2.3. The concordance index (C-index) and receiver operating characteristic (ROC) curves were used to assess the predictive accuracy of the nomogram. Age, tumor site, surgery, N stage, M stage, and TNM stage were identified as independent prognostic factors through univariate and multivariate Cox analyses. The nomogram demonstrated superior predictive performance compared to the TNM staging system, effectively stratifying patients into high-risk and low-risk groups. This nomogram offers a valuable tool for predicting overall survival in patients with ACCHN and tailoring individualized treatment approaches.

Prediction of Treatment Response Based on Nutritional Status and Tumor Immunity in Oropharyngeal Cancer Patients Treated With Chemoradiotherapy.

Radiotherapy (RT) for advanced oropharyngeal cancer (OPC) is effective, especially when combined with chemotherapy (CRT). However, its success can vary depending on factors, such as tumor stage, HPV infection (p16 status), and the patient's nutritional and immune status. This study examined the controlling nutritional status (CONUT) score and tumor immunity as predictive factors for treatment outcomes in OPC, aiming to develop a personalized risk score. A retrospective analysis was conducted on 84 patients with OPC treated with definitive RT or CRT, and survival outcomes were compared based on various factors, including BMI, CONUT score, CD8 expression, and HLA class II expression. We observed better overall survival (OS) rates in CD8-positive patients and those with higher HLA class II expression. The univariate analysis identified stage, p16 status, BMI, CONUT score, and CD8 expression as significantly associated with OS. In multivariate analysis, stage, BMI, and CONUT score remained significant predictors of OS. A risk scoring system was developed based on stage, p16 status, BMI, CONUT score, and CD8 expression. Patients were categorized into low-risk and high-risk groups, with significantly better survival in the low-risk group. A combined risk score incorporating clinical, nutritional, and immune factors can improve the prediction of treatment outcomes for OPC patients. This risk stratification may enable personalized treatment plans and improve ΟS rates.