Discover. Oncology最新文献

{"title":"Constructing a prognostic model based on MPT-related genes and investigate the characteristics of immune infiltration in bladder cancer.","authors":"Lei Yang, Zhiqiang Zhang, Mengfan Xu, Muhan Shang, Haibing Wang, Zhiqi Liu","doi":"10.1007/s12672-025-02222-x","DOIUrl":"https://doi.org/10.1007/s12672-025-02222-x","url":null,"abstract":"<p><strong>Purpose: </strong>Exploring the expression of Mitochondrial Permeability Transition Dependent Necrosis lncRNA in bladder cancer and elucidate their precise function within the tumor microenvironment and impact on prognosis.</p><p><strong>Methods: </strong>We employed a comprehensive bioinformatics approach to investigate the function and influence of lncRNA in bladder cancer. Gene expression data, clinical data, and mutation data of bladder cancer are obtained from TCGA database.</p><p><strong>Results: </strong>We developed a new prognostic model incorporating 6 lncRNAs. The predictive efficacy of this model for bladder cancer prognosis was validated. Furthermore, we investigated the influence of model on the tumor microenvironment and drug sensitivity.</p><p><strong>Conclusion: </strong>This study presents a novel prognostic framework for bladder cancer that holds great potential for enhancing prognostic prediction accuracy and optimizing treatment strategies for patients with this disease.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"460"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of necroptosis & mitophagy-related key genes and their prognostic value in colorectal cancer.","authors":"Xiuling Zhang, Li Meng, Tingjian Zu, Qian Zhou","doi":"10.1007/s12672-025-02221-y","DOIUrl":"https://doi.org/10.1007/s12672-025-02221-y","url":null,"abstract":"<p><strong>Background: </strong>Our study aimed to elucidate the potential necroptotic&mitophagy-related key genes in colorectal cancer (COAD) by bioinformatics analysis and identify their prognostic value in COAD.</p><p><strong>Methods: </strong>Firstly, we integrated the cancer genome atlas (TCGA) and gene expression omnibus (GEO) datasets to identify necroptosis & mitophagy-related differentially expressed genes (N&MRDEGs) in COAD using \"TCGAbiolinks\" and \"GEOquery\" packages. Secondly, the obtained data were used for differential expression analysis using the \"limma\" package, and further functional enrichment analysis using the \"clusterProfiler\" package. Then, gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were utilized to explore pathway associations of the N&MRDEGs. Thirdly, the predictive model was developed utilizing LASSO (Least absolute shrinkage and selection regression) regression implemented through the \"glmnet\" package and validated via Kaplan-Meier analysis. Finally, we validated the function of the key genes by receiver operating characteristic (ROC) curve analysis, multivariate cox proportional hazards model and COAD cell lines.</p><p><strong>Results: </strong>There is a strong association between the 4 key genes (UCHL1, HSPA1A, MAPK8, and PLEC) of COAD and the necroptotic&mitophagy, which were found to be lowly mRNA level in COAD cell lines. Among them, PLEC exhibited a pronounced contribution to the utility of the model in the TCGA database and UCHL1 has excellent diagnostic potential with an area under the curve (AUC) greater than 0.9.</p><p><strong>Conclusions: </strong>The perspective of bioinformatics analysis provides robust evidence suggested that UCHL1, HSPA1A, MAPK8, and PLEC genes are the prognostic biomarkers of COAD, the predictive model established herein provides a novel tool for risk stratification in clinical practice and serves as a foundation for further investigation into its underlying molecular mechanisms.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"461"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiotherapy-immunity lncRNA model predicts lung adenocarcinoma prognosis and treatment outcome and distinguishes between hot and cold tumors.","authors":"Lingfan Xiong, Jing Guo, Jingjun Lv, Wenhao Guo, Tingting Qiu","doi":"10.1007/s12672-025-02184-0","DOIUrl":"https://doi.org/10.1007/s12672-025-02184-0","url":null,"abstract":"<p><strong>Background: </strong>There are many prognostic markers for lung adenocarcinoma (LUAD). However, studies on the prognosis of LUAD by radiotherapy immune-related long noncoding RNAs (lncRNAs) are extremely rare.</p><p><strong>Methods: </strong>We have compiled 1121 radiotherapy susceptibility differential genes and 6195 immune-related genes. After that, we screened radiotherapy-immunity lncRNAs associated with proliferation by co-expression, univariate, least absolute shrinkage selection operator regression (LASSO), and multivariate analysis of variance. Finally, we constructed a prognostic model based on 6 lncRNAs, and verified the accuracy of the predictive model by ROC and C index. In addition, we used the constructed scoring model to analyze the model's association with the characteristics of immune cell infiltration, immune checkpoint and drug sensitivity. Finally, the whole sample was divided into 2 clusters to further distinguish hot and cold tumors.</p><p><strong>Results: </strong>We constructed a risk score model built on 6 prognostically relevant lncRNAs. Patients were categorized into high-risk and low-risk patients based on median scores in the Train group. We found that people in the high-risk group had a lower survival rate than those in the low-risk group. However, those in the high-risk group were more sensitive to chemotherapy, targeted drugs and also more sensitive to immunotherapy drugs. Based on the line graphs of T, N, Age, Stage and Risk, the corresponding scores can be summed up to visualize the survival rate of patients at 1, 3 and 5 years. Gene set enrichment analysis (GSEA) suggested that radiotherapy-immunity-related lncRNA might be related to pathways such as cell cycle, T cell receptor signaling pathway. It is noteworthy that in our study, cluster 1 was considered to be a hot tumor more sensitive to immunotherapy.</p><p><strong>Conclusion: </strong>In summary, we constructed a risk score model built on six radiosensitivity and immune-related lncRNAs, which is expected to be a potential predictive biomarker for radiosensitivity and LUAD prognosis.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"455"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of ferroptosis-related gene signatures as a novel prognostic model for clear cell renal cell carcinoma.","authors":"Xiaoxiao Du, Haoyuan Cao, Yu-Jie Zhou, Qingli Kong, Xulong Zhang","doi":"10.1007/s12672-025-02202-1","DOIUrl":"https://doi.org/10.1007/s12672-025-02202-1","url":null,"abstract":"<p><strong>Background: </strong>Clear cell renal cell carcinoma (ccRCC), a common type of renal cortical tumor, is the most prevalent subtype of renal malignancies within the urinary system and is associated with a low survival rate. Ferroptosis plays a crucial role in the process of renal carcinogenesis and holds potential for significant applications in patient prognosis. However, the clinical prognostic relevance of ferroptosis-related genes (FRGs) for ccRCC remains unclear. The identification of FRG signatures and the development of a novel prognostic model based on FRGs demonstrate important prognostic significance for ccRCC.</p><p><strong>Methods: </strong>Univariate cox screen was performed to screen for prognostic-related genes using ccRCC data from the The Cancer Genome Atlas (TCGA) database. And then an initial screen for prognostic genes was performed by taking intersections with the differential genes of the Gene Expression Omnibus (GEO) database datasets GSE213324 and GSE66271, as well as with the FRGs, and a multigene signature was constructed using least absolute shrinkage and selection operator (LASSO) and Cox regression analysis. Subsequently, the model was evaluated using Kaplan-Meier (KM) survival curve analysis, receiver operating characteristic (ROC), nomogram, and decision curve analysis (DCA). Differences in tumor microenvironment and immune function were analyzed by single-sample gene set enrichment analysis (ssGSEA) and immune infiltration in patients in the high- and low-risk groups. The tumor immune dysfunction and exclusion (TIDE) assessed the immune checkpoint inhibitor (ICI) susceptibility in patients. The Gene Set Enrichment Analysis (GSEA) was performed for pathway enrichment analysis. Patient mutation data were downloaded and tumor mutation burden (TMB) were compared between patients in the high- and low-risk groups.</p><p><strong>Results: </strong>ADACSB, DPEP1, KIF20A, MT1G, PVT1 and TIMP1 were utilized to establish a novel prognostic signature. The KM curve analysis revealed that patients in the high-risk group exhibited a poorer prognosis. Additionally, the ROC results demonstrated that the model displayed favorable prognostic accuracy. Independent prognostic analyses indicated that the FRGs model could serve as an independent prognostic indicator. Furthermore, calibration curve of the nomogram illustrated enhanced precision in predicting survival rates for patients at 1, 3 and 5 years. Analysis of mutation data unveiled higher tumor mutation load among patients in the high-risk group, which correlated with an increase in risk score.</p><p><strong>Conclusion: </strong>The FRGs model offers a novel approach for prognostic prediction of ccRCC patients and has the potential to provide personalized prognostic prediction and treatment for ccRCC patients.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"456"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blocking lncRNA NOP14-AS1 overcomes 5-Fu resistance of colon cancer cells by modulating miR-30a-5p-LDHA-glucose metabolism pathway.","authors":"Ya-Nan Lu","doi":"10.1007/s12672-025-02156-4","DOIUrl":"https://doi.org/10.1007/s12672-025-02156-4","url":null,"abstract":"<p><p>Colorectal cancer (CRC) is a malignant digestive tumor associated with high mortality rate. Currently, 5-Fu therapy is a frequently used treatment approach for CRC. Yet, acquirement of 5-Fu resistance ultimately leads to therapeutic failure in CRC patients. LncRNA NOP14-AS1 was upregulated in cancers, but its biological functions and mechanisms in 5-Fu resistant colorectal cancer remain elusive. We discovered that NOP14-AS1 was high-expressed in colorectal tumors and cancer cells. Silencing NOP14-AS1 sensitized CRC cells to 5-Fu. By creating a 5-Fu resistant CRC cell line (HT-29 5-Fu R) and observed that expression of NOP14-AS1 was remarkedly elevated in 5-Fu resistant cells compared to parental cells. Additionally, we found that miRNA-30a-5p was a target of NOP14-AS1 and directly affected its function. miR-30a-5p overexpression sensitized CRC cells to 5-Fu treatment and targeted the glycolysis key enzyme, LDHA. Rescue experiments showed that restoring LDHA in CRC cells which were overexpressing miR-30c-5p successfully overridden 5-Fu resistance. Importantly, restoring miR-30a-5p in NOP14-AS1-overexpressing cells effectively restored 5-Fu sensitivity in HT-29 5-Fu R cells by targeting the LDHA-mediated glucose metabolism. In summary, our results revealed that lncRNA NOP14-AS1 promotes 5-Fu resistance by mediating the miR-30a-5p-LDHA axis.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"458"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oxidative stress as a catalyst in prostate cancer progression: unraveling molecular mechanisms and exploring therapeutic interventions.","authors":"Yawen Song, Zheng Hou, Longting Zhu, Yan Chen, Jingyu Li","doi":"10.1007/s12672-025-02245-4","DOIUrl":"https://doi.org/10.1007/s12672-025-02245-4","url":null,"abstract":"<p><p>Prostate cancer is the second most common malignancy among men worldwide, with its incidence and mortality rates steadily increasing. Although androgen deprivation therapy (ADT) combined with androgen receptor inhibitors has shown significant efficacy in treating prostate cancer, resistance to treatment remains a major challenge, particularly in patients with metastatic prostate cancer. Reactive oxygen species (ROS), a class of highly reactive molecules, can induce oxidative stress within cells, thereby affecting cellular survival and function. In cancer cells, elevated ROS levels not only promote proliferation and invasion but also contribute to the malignancy of tumors by modulating the tumor microenvironment, enhancing angiogenesis, and facilitating extracellular matrix remodeling. This review systematically explores the pathways of ROS generation in prostate cancer, their interaction with the androgen receptor signaling pathway, and the role of external factors such as obesity and aging in promoting ROS production. The findings highlight that ROS drive prostate cancer progression through multiple mechanisms, including altering the tumor microenvironment, activating the unfolded protein response (UPR), and regulating miRNA expression. By providing a comprehensive analysis of ROS-mediated mechanisms in prostate cancer, this review offers new insights into the development of targeted antioxidant therapeutic strategies.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"457"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gut Escherichia coli promotes lung cancer by increasing circulating STAMBP production.","authors":"Xinpei Li, You Mo, Shijie Shang, Meng Wu, Shuling Ma, Zijun Zhai, Qian Song, Dawei Chen","doi":"10.1007/s12672-025-02206-x","DOIUrl":"https://doi.org/10.1007/s12672-025-02206-x","url":null,"abstract":"<p><strong>Background: </strong>Excessive abundance of gut pathogens and inflammatory lung damage are potential risk factors for lung cancer. Nevertheless, the exact function of inflammatory proteins in mediating the nexus between gut microbiota and lung cancer remains elusive.</p><p><strong>Methods: </strong>We first executed Mendelian randomization analysis with the inverse variance weighting method as the primary method, followed by a sensitivity analysis of the results. Finally, we carried out in vitro experiments and database analyses to corroborate our conclusions.</p><p><strong>Results: </strong>After multiple tests, we identified that the gut genus Parasutterella and species Escherichia coli (E. coli) were tied a heightened risk of lung cancer, while Bacteroides salyersiae was a protective factor against lung cancer. Circulating STAM-binding protein (STAMBP) and C-C Motif Chemokine Ligand 23 were considered potential risk factors for lung cancer. In vitro experimental results indicated that the E. coli supernatant significantly induced lung cancer cell proliferation and cell cycle transition but suppressed cell apoptosis. Mechanistically, E. coli increases the production of STAMBP to promote lung cancer progression.</p><p><strong>Conclusions: </strong>Our results indicated that gut E. coli can potentially increase STAMBP secretion, thereby promoting lung cancer progression. This research delivers a new viewpoint for analyzing the carcinogenic mechanism of E. coli as well as the subsequent prevention and management of lung cancer.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"459"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of preeclampsia in breast cancer risk: insights from Mendelian randomization study.","authors":"Chenfei Qian, Ganwei Xiong, Shihao Hong, Linzhe Miao, Yitao Guo","doi":"10.1007/s12672-025-02248-1","DOIUrl":"10.1007/s12672-025-02248-1","url":null,"abstract":"<p><strong>Background: </strong>The relationship between preeclampsia and breast cancer risk is still debated, with observational studies yielding inconsistent results. This research aims to clarify the causal link between preeclampsia and breast cancer using Mendelian randomization (MR) methods.</p><p><strong>Methods: </strong>We utilized genome-wide association study (GWAS) data to identify single nucleotide polymorphisms (SNPs) that are significantly associated with preeclampsia, which served as genetic instruments. A two-sample Mendelian randomization (TSMR) approach was applied, primarily using inverse variance weighting (IVW) to assess the causal impact of preeclampsia on breast cancer risk. To strengthen our findings, a meta-analysis of IVW estimates from both discovery and validation cohorts was performed, complemented by sensitivity analyses to investigate heterogeneity and potential horizontal pleiotropy.</p><p><strong>Results: </strong>In the discovery cohort, IVW analysis revealed a potential inverse relationship between preeclampsia and breast cancer risk (OR, 0.971; 95% CI, 0.947-0.996; P = 0.022). However, the validation cohort did not demonstrate a significant causal association (OR, 0.992; 95% CI, 0.975-1.008; P = 0.327). The combined meta-analysis indicated that preeclampsia might be linked to a lower risk of breast cancer (OR, 0.986; 95% CI, 0.972-0.999; P = 0.041). In subgroup analysis, preeclampsia was found to have a potential association only with estrogen receptor (ER)-negative breast cancer (OR, 0.956; 95% CI, 0.916-0.999; P = 0.043), while no significant link was observed with estrogen receptor (ER)-positive breast cancer (OR, 0.972; 95% CI, 0.945-1.000; P = 0.051). Sensitivity analyses indicated no significant heterogeneity or evidence of horizontal pleiotropy (P > 0.05).</p><p><strong>Conclusion: </strong>This MR study, supported by a robust meta-analysis, suggests that preeclampsia may have a protective effect against breast cancer, especially ER-negative breast cancer. However, to firmly establish this relationship, additional prospective studies with larger populations are warranted. Moreover, further exploration of the biological mechanisms underlying this potential association is needed through both in vitro and in vivo research.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"450"},"PeriodicalIF":2.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioinformatics exploration of the S1PR1 receptor in various human cancers and its clinical relevance.","authors":"Xing Xiong, Li Zeng, Fanhui Zeng, Yu Huang, Linghua Jia","doi":"10.1007/s12672-025-02241-8","DOIUrl":"10.1007/s12672-025-02241-8","url":null,"abstract":"<p><strong>Background and objective: </strong>S1PR1 (sphingosine-1-phosphate receptor 1) plays a critical role in key cancer-related processes such as cell migration, proliferation, and survival. While its functions are well-established in the cardiovascular and immune systems, its mechanism in cancer remains unclear. Our study aims to investigate the expression, mutations, post-translational modifications, and immune infiltration of S1PR1 across different cancers, and particularly focus on its potential as a therapeutic target and prognostic biomarker.</p><p><strong>Methods: </strong>We utilized HPA, GTEx, TCGA and CPTAC bioinformation databases to evaluate the expression level of S1PR1 between normal and cancer tissue. Sequence conservation and phylogenetic analysis of S1PR1 are assessed by NCBI and Pfam database. Gene mutations, methylation, phosphorylation, and immune infiltration of S1PR1 were analyzed by cBioPortal, MethSuv, CPTAC and TIMER2.0 respectively.</p><p><strong>Results: </strong>S1PR1 expression varied significantly among cancers, with decreased levels in bladder and breast cancers, and increased levels in renal cell carcinoma, thyroid cancer, and acute myeloid leukemia. Mutation analysis revealed frequent mutations in endometrial, lung, and ovarian cancers. Reduced methylation in lung adenocarcinoma correlated with improved survival. Elevated phosphorylation was observed in glioblastoma and renal carcinoma. Immune infiltration analysis showed significant correlations with CAFs and γδ T cells.</p><p><strong>Conclusion: </strong>S1PR1 plays a critical role in cancer progression through its expression, mutations, and modifications. These findings suggest that S1PR1 could be served as a potential biomarker and therapeutic target in cancer, but it need a further validation in clinical settings is warranted.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"449"},"PeriodicalIF":2.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the predictive value of log odds of positive lymph nodes on postoperative survival in patients with laryngeal cancer: a SEER population-based study.","authors":"Jiahui Zhang, Wenjun Su, Yue Wang, Peiji Zeng, Wei Wang, Wenjie Fu, Chengfu Cai","doi":"10.1007/s12672-025-02193-z","DOIUrl":"10.1007/s12672-025-02193-z","url":null,"abstract":"<p><p>Traditionally, the AJCC TNM staging system has been the primary tool for assessing the severity and prognosis of laryngeal cancer. Although several studies have demonstrated that the log odds of positive lymph nodes (LODDS) offers superior predictive accuracy compared to the TNM staging for other cancers, there is limited research for laryngeal cancer. This study analyzed data from SEER database (2000-2019). Independent risk factors for survival were identified using univariate and multivariate Cox regression analyses, and different prognostic models were constructed based on the multivariate analysis results. The predictive performance of these models was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. The results indicated that LODDS subgroup, age, marital status, histologic grade, T-stage, and N-stage were consistent independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS). Assessment metrics showed that the multivariate model, which incorporated both LODDS and N staging, outperformed the individual N staging and LODDS models in predicting postoperative prognosis in laryngeal cancer patients. Overall, the multivariate model constructed in this study is a superior tool for predicting the postoperative status of laryngeal cancer.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"452"},"PeriodicalIF":2.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143771091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}