Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 9, 2024
Language: Английский
Oncology Letters, Journal Year: 2025, Volume and Issue: 29(4)
Published: Feb. 11, 2025
The modified Glasgow prognostic score (mGPS), based on C-reactive protein and albumin levels, is an inflammation-based tool used in various cancers. However, related research breast cancer limited. present study evaluated the value of preoperative mGPS predicting overall survival (OS) patients with undergoing surgery. A retrospective cohort was conducted involving 300 up to 10 years follow-up. Patients were categorized into three groups scores 0, 1 2, their clinical pathological data collected. Kaplan-Meier analysis Cox proportional hazards models assess outcomes identify risk factors associated higher scores. nomogram developed multivariate predict 5- 10-year OS. high showed significantly poor outcomes. rates for 2 80, 70 55%, 71, 55 22%, respectively (P<0.001). Multivariate identified mGPS, age, smoking, PAM50 TNM stage as independent predictors demonstrated good predictive accuracy (concordance index: 0.81) calibration. factor OS cancer. It a simple, cost-effective that can aid stratification guide treatment strategies. Further validation larger cohorts recommended.
Language: Английский
Citations
4
BMC Surgery, Journal Year: 2025, Volume and Issue: 25(1)
Published: Feb. 18, 2025
To analyze the impact of preoperative inflammatory markers and tumor on lymphatic metastasis postoperative complications in colorectal cancer patients, explore their predictive value for these outcomes. Furthermore, based marker indicators with significant effects, models risk incidence will be constructed. This study retrospectively analyzed clinical data CRC patients who underwent surgical treatment at Shanxi Bethune Hospital between January 2021 June 2024. Preoperative were compared lymph node-positive node-negative groups. Variables selected using Lasso regression, independent factors influencing node identified through multivariate logistic regression analysis. Based results, a Nomogram prediction model was constructed, its accuracy evaluated calibration curve. The discriminatory ability assessed ROC curve, applicability DCA Similarly, predicting complications, Pearson correlation analysis used to examine relationships markers, complications. curves employed calculate AUC optimal cutoff values each marker. Kaplan-Meier (KM) DFS. Independent univariate analyses, constructed validated. A total 196 included study. NLR, PLR, FAR, CEA, CA199, CA724 levels significantly elevated group (P < 0.05). smoking history, as non-zero coefficient variables. Multivariate further confirmed history (HR = 4.20), NLR 2.52), FAR 1.18), 1.32) predictors results showed high accuracy, curve 0.880, indicating excellent ability. decision demonstrated good applicability. In complication prediction, revealed positive rates 0.05), coefficients 0.24, 0.34, 0.16, 0.19, respectively, PLR showing strongest correlation. that AUCs LMR, CAR 0.633, 0.675, 0.467, 0.580, 0.559, 4.29, 261.71, 3.39, 18.20, 11.26, respectively. 0.567, 0.612, 0.609, 11.87, 10.27, 6.85. KM higher CAR, associated poorer Univariate 1.53) 1.11) indicated 0.729, demonstrating ability, have occurrence certain developed this provide reference personalized diagnosis treatment, but practical application needs validated large-scale studies.
Language: Английский
Citations
2
Oncology Letters, Journal Year: 2025, Volume and Issue: 29(4), P. 1 - 12
Published: Feb. 24, 2025
The present study aimed to further investigate the predictive value of pan-immune-inflammatory values (PIVs) in patients with non-metastatic colorectal cancer after radical surgery. Additionally, sought develop a scoring model predict survival A total 470 who attended Affiliated Cancer Hospital Xinjiang Medical University (Urumqi, China) for surgery were retrospectively collected based on specific inclusion and exclusion criteria. Patients categorized into Low-PIV group High-PIV according optimal cut-off PIV analysis was performed. Cox regression performed one-way multifactorial analysis. After independent risk factors screened, simple score prediction constructed evaluated. indicated that significantly associated T stage, Tumor-Node-Metastasis differentiated degree nerve invasion (all P<0.05). Survival tanalysis showed had higher 5-year overall (OS) rate compared those (88.7 vs. 46.3%; P<0.001). Through analysis, N stage [hazard ratio (HR), 2.00; 95% confidence interval (CI), 1.04-3.84; P=0.039], (HR, 1.98; CI, 1.16-3.38; P=0.012), neutrophil/lymphocyte 4.00; 2.19-7.29; P<0.001) 4.12; 2.04-8.32; found be predictors OS. These variables included column chart create system. concordance index 0.789 (95% 0.746-0.832). 1-, 3- calibration curves this column-line diagram demonstrated high confidence. area under curve OS 0.823, 0.845 0.845, respectively. shown reliable biomarker prognosis cancer. current can effective following could therefore play substantial role clinical decision-making.
Language: Английский
Citations
2
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 14, 2025
Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide, with high postoperative recurrence and metastasis rates posing significant challenges to patient survival. Identifying reliable accessible prognostic markers essential for optimizing treatment strategies. This study investigates significance two preoperative hematological indices, [neutrophils × platelets]/[lymphocytes hemoglobin] (NP/LHb) ratio absolute monocyte count (Mono), in predicting overall survival CRC patients. A retrospective analysis 566 patients was conducted, cohort serving as an external validation set. Receiver operating characteristic curve identified optimal cut-off values NP/LHb Mono, Kaplan-Meier revealed that higher levels both were associated significantly shorter novel model, NPM, integrating demonstrated superior predictive accuracy compared either marker alone. The NPM model further validated through a nomogram, achieving performance 1-, 3-, 5-year These findings highlight potential combining inflammatory nutritional effective risk stratification offers simple, cost-effective tool may facilitate personalized management, though prospective warranted.
Language: Английский
Citations
2
Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)
Published: Dec. 18, 2024
Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor of the head and neck that significantly impacts patients' quality life, with chemotherapy resistance notably affecting prognosis. This study aims to identify prognostic biomarkers optimize treatment strategies for LSCC. Using data from The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO), combined mitochondrial gene database analysis, we identified lncRNAs associated drug genes. Key long non-coding RNAs (lncRNAs) were selected through univariate Cox regression Lasso regression, multivariate model was constructed predict We further analyzed differences in immune function biological pathway enrichment between high- low-risk groups, developed nomogram, compared sensitivity. Results showed based on seven could serve as an independent factor, Area Under Curve (AUC) values 0.746, 0.827, 0.771 at 1, 3, 5 years, respectively, outperforming some existing models, demonstrating high predictive performance. Significant observed sensitivity groups. risk prediction incorporating resistance-related can accurately independently prognosis LSCC patients.
Language: Английский
Citations
10
Biochemical and Biophysical Research Communications, Journal Year: 2025, Volume and Issue: unknown, P. 151653 - 151653
Published: March 1, 2025
Language: Английский
Citations
1
Food and Agricultural Immunology, Journal Year: 2024, Volume and Issue: 35(1)
Published: Dec. 19, 2024
Background: Regional lifestyles influence allergic disease risks, with dietary factors being crucial. However, observational studies on micro- and macronutrient impacts are inconsistent.
Language: Английский
Citations
7
Global Challenges, Journal Year: 2025, Volume and Issue: 9(3)
Published: Jan. 23, 2025
Abstract Breast cancer is the most prevalent and a leading cause of death among women globally, posing significant public health challenge. Triple‐negative breast (TNBC), an aggressive subtype accounting for 15–20% all cancers, lacks targeted therapies due to absence hormone receptors HER2, resulting in poor prognosis high recurrence rates. This study investigates role cancer‐derived extracellular vesicle (EV) integrin beta‐2 (ITGB2) TNBC progression. These findings reveal that ITGB2 significantly overexpressed tissues serum EVs, correlating with advanced tumor stages patient survival. enhances progression by activating cancer‐associated fibroblasts (CAFs) within microenvironment, promoting growth, migration, invasion. Mechanistic studies demonstrate EV facilitates CAF activation, driving tumor‐stroma interactions support results highlight as potential biomarker therapeutic target TNBC, emphasizing need novel interventions combat this challenging subtype.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 7, 2025
Colorectal cancer (CRC) is a prevalent malignant tumor characterized by high global incidence and mortality rates. Furthermore, it imperative to comprehend the molecular mechanisms underlying its development identify effective prognostic markers. These efforts are crucial for pinpointing potential therapeutic targets enhancing patient survival Therefore, we develop novel model aimed at providing new theoretical support clinical prognosis evaluation treatment. We downloaded data from Gene Expression Omnibus (GEO) The Cancer Genome Atlas (TCGA) databases. Subsequently, performed single-cell analysis developed associated with colorectal cancer. divided scRNA-seq dataset (GSE221575) into 19 cell clusters classified these 11 distinct types using marker genes. Using univariate Cox regression LASSO (Least Absolute Shrinkage Selection Operator) analyses, consisting of 9 Based on our 9-gene model, patients high-risk low-risk groups median risk score. group demonstrated significant positive correlations M0 macrophages, CD8+ T cells, M2 macrophages. enrichment analyses indicate immune-related pathways in group, including HEDGEHOG_SIGNALING, Wnt signaling pathway, adhesion molecules. Drug sensitivity revealed that was sensitive 5 chemotherapeutic drugs, while only 1. Additionally, highly reliable nomogram application. This suggests score derived modeling stratifying samples. study comprehensively applied bioinformatics methods construct model. showed good predictive performance, offering guidance individualized treatment patients. may provide valuable insights disease's pathogenesis further research.
Language: Английский
Citations
0
Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15
Published: March 7, 2025
Objective To explore non-small cell lung cancer (NSCLC) patients with new diagnosis of brain metastasis and construct Logistic regression model based on clinical pathology prognosis score, verify. Methods A total 158 newly diagnosed in NSCLC were retrospectively selected from March 2020 to April 2022. The data collected, analysis was used analyze the influencing factors poor for metastasis. Results results univariate showed that pathological features including NLR>2.94, abnormal CEA, mediastinal lymph node metastasis, symptomatic treatment therapeutic method, extracranial GPS1-2 score associated survival ( P < 0.05). Multivariate CEA abnormality, independent risk Internal verification using Bootstrap method predicted curve fitted well standard curve, average absolute error 0.029. ROC result AUC 0.887, 95%CI 0.782–0.905, corresponding specificity sensitivity 90.50% 80.00%, respectively. This indicates prediction accuracy this Nomogram is good. Conclusion NLR, GPS are NSCLC. factor constructed these has excellent value In order reduce improve prognosis, targeted preventive measures taken against above practice.
Language: Английский
Citations
0