Discover. Oncology最新文献

{"title":"Clinicopathological features and prognostic significance of site-specific metastasis in gastric cancer: a population-based, propensity score-matched analysis.","authors":"Xingbiao Huang, Zhe Li, Qiuyan Weng","doi":"10.1007/s12672-025-02865-w","DOIUrl":"10.1007/s12672-025-02865-w","url":null,"abstract":"<p><strong>Objective: </strong>Distant metastasis complicates gastric cancer management and worsens patient outcomes. Understanding the clinicopathological characteristics and prognostic impact of site-specific metastases is crucial for improving treatment strategies and survival prediction.</p><p><strong>Methods: </strong>Data from 8338 metastatic gastric cancer patients (2010-2015) were retrieved from the SEER database. Patients were categorized by metastatic organ involvement. Chi-square tests analyzed clinicopathological differences. Cancer-specific survival (CSS) was assessed using Kaplan-Meier curves and the log-rank test. Independent prognostic factors were identified through Cox regression analysis. Propensity score matching minimized group heterogeneity.</p><p><strong>Results: </strong>The liver was the most common metastatic site (43.20%). Patients with bone, brain, or lung metastases had significantly shorter CSS compared to those without these metastases. CSS differences between liver metastasis and non-metastasis were not significant. Propensity score matching confirmed shorter CSS in patients with bone and lung metastases. Single-site metastasis had a better prognosis than multiple-site metastasis, with liver-only metastasis showing the best survival and bone-only metastasis the worst. Multivariate Cox regression identified bone, brain, and lung metastases, age, histology, tumor grade, T stage, N stage, primary tumor resection, and chemotherapy as independent prognostic factors.</p><p><strong>Conclusions: </strong>The metastatic site significantly influences the prognosis of gastric cancer. Single-site metastasis offers a survival advantage over multiple-site involvement, with liver metastasis showing a better prognosis and bone metastasis the worst. These findings emphasize the importance of site-specific management and the prognostic value of metastatic patterns in gastric cancer.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1164"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mendelian randomization studies of gastric cancer reveal potential risk factors, promising biomarkers and therapeutic targets.","authors":"Maowei He, Yanting Duan, Yuanyan Zhang, Chao Qian, Jiawei Jin","doi":"10.1007/s12672-025-02954-w","DOIUrl":"10.1007/s12672-025-02954-w","url":null,"abstract":"<p><strong>Objective: </strong>To further understand the causal relationship between potential risk factors or biomarkers and gastric cancer, we performed an extensive Mendelian randomization (MR) analysis.</p><p><strong>Methods: </strong>Genetic instruments were extracted from 486 available traits in 24 subcategories from the MR-Base platform, and ordinary two-sample MR, reverse MR, and mediating effect analyses were conducted based on 6563 gastric cancer cases and 195,745 controls from the BioBank Japan Project. We also performed Cox proportional hazards survival analysis, extensive phenotypic MR analysis, and molecular docking to evaluate potential biomarkers that may serve as therapeutic targets.</p><p><strong>Results: </strong>Five identified risk factors were significantly associated with gastric cancer, including ulcerative colitis, vascular endothelial growth factor receptor 2 (VEGFR2), promotilin, neutrophil collagenase, and tyrosine-protein kinase receptor Tie-1 (soluble). The Cox proportional hazards survival analysis of the response genes KDR, MLN, MMP8, and TIE1 showed significant results in overall survival, first progression, and post-progression survival. The extensive phenotypic MR analysis found two associations with significant detrimental effects for targeting promotilin, including celiac disease and intestinal malabsorption (non-celiac), which showed beneficial effects for targeting neutrophil collagenase, and two associations with significant beneficial effects for targeting tyrosine-protein kinase receptor Tie-1, including hemorrhoids and functional digestive disorders. No significant associations were found for targeting VEGFR2. In addition, the results of chemotherapeutic sensitivity analysis and molecular docking of potential drugs with target genes also provide sufficient evidence for their important role in the treatment of gastric cancer.</p><p><strong>Conclusion: </strong>In conclusion, risk factor-associated genes KDR, MLN, MMP8, and TIE1 might be promising targets for the prevention and treatment of gastric cancer. These findings provide new insights into the causal factors of gastric cancer and new directions for the development of targeted therapies.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1162"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181592/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dietary saturated fatty acids and prostate cancer: insights into NF-κB pathway and lipid metabolism mechanisms.","authors":"Jia Wei He, Zi Xuan Huang, Yan Feng Su, Yang Qi Mo","doi":"10.1007/s12672-025-03005-0","DOIUrl":"10.1007/s12672-025-03005-0","url":null,"abstract":"<p><p>Prostate cancer (PCa) is one of the most prevalent malignancies in men, with dietary factors, particularly saturated fatty acids (SFAs), emerging as significant contributors to its pathogenesis. This review synthesizes current literature linking dietary fat intake, especially from dairy products, to increased prostate cancer risk, highlighting specific SFAs such as myristic and palmitic acids. The nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway is identified as a critical mediator in this relationship, promoting cell survival and proliferation in the tumor microenvironment. Additionally, the role of the lipogenic enzyme ELOVL7 is explored, emphasizing its involvement in fatty acid metabolism and cancer progression. While epidemiological and mechanistic studies provide compelling evidence for the link between dietary SFAs and prostate cancer through NF-κB activation, significant knowledge gaps remain, necessitating further research to elucidate the underlying mechanisms and potential therapeutic strategies targeting lipid metabolism.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1166"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic and immunological profiling reveals novel prognostic biomarkers for limited-stage small cell lung cancer.","authors":"Ye Li, Xiaolong Ma, Zhiyi Wan, Pengfei Bao, Enli Zhang, Lihua Liu, Shunchang Jiao, Shengjie Sun","doi":"10.1007/s12672-025-02925-1","DOIUrl":"10.1007/s12672-025-02925-1","url":null,"abstract":"<p><p>We aimed to investigate the genomic and immune microenvironmental characteristics and their prognostic value in limited-stage small cell lung cancer (SCLC). Whole exome sequencing and multiplex immunofluorescence analysis were conducted on 38 patients diagnosed with limited-stage SCLC. The two most frequently mutated cancer-related genes observed were RB1 (73.68%) and TP53 (63.16%). However, none of the cancer-related genes, including RB1 and TP53, were associated with prognosis. Furthermore, genomic factors such as tumor mutation burden, copy number instability, and mutant-allele tumor heterogeneity were unrelated to prognosis. Approximately 52.63% (20/38) of cases exhibited PD-L1 expression (combined positive score > 1). The average percentage of CD8-positive tumor-infiltrating lymphocytes (TILs) was 3.27%, with a range spanning from 0.04 to 18.96%. Survival analyses showed that PD-L1 positivity, a high proportion of CD8-positive TILs, and wild-type PI3K pathway were significantly associated with better survival. A predictive prognostic model was further developed based on these three biomarkers, resulting in more accurate stratification of patients according to disease-free survival (DFS, hazard ratio (HR) = 2.020, P < 0.001) and overall survival (OS, HR = 2.344, P < 0.001). Moreover, PD-L1 negative patients who did not undergo adjuvant chemotherapy exhibited significantly improved OS (P = 0.029) and a favorable trend in DFS (P = 0.053) compared to those who underwent adjuvant chemotherapy. In conclusion, this study analyzed the genomic and immune microenvironment characteristics of limited-stage SCLC and constructed a prognostic model based on PD-L1 expression, CD8-positive TILs, and PI3K pathway mutation, which may potentially contribute to the clinical management of limited-stage SCLC. Clinical trial number: Not applicable.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1170"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vitamin D and risk of thyroid cancer: a two-sample Mendelian randomization study.","authors":"Yunbin Shi, Lihui Qian, Tao Ma, Juntao Huang","doi":"10.1007/s12672-025-03002-3","DOIUrl":"10.1007/s12672-025-03002-3","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the causal effect of serum 25-hydroxyvitamin D (25(OH)D) on the risk of thyroid cancer (TC) by a two-sample Mendelian randomization (MR) analysis.</p><p><strong>Methods: </strong>We analyzed data from two genome-wide association studies (GWAS), including 25(OH)D concentration levels in 417,580 individuals and 1415 individuals for TC. Genetic variants associated with serum 25(OH)D were selected as instrumental variables (IVs). The inverse-variance weighted (IVW) method served as the primary approach of MR analysis was used to evaluate the sensitivity of 25(OH)D to TC risk, while the weighted-median method, MR-Egger method, weighted mode and simple mode were employed as supplementary analyses. Cochran's Q test was used to test IV heterogeneity, MR-Egger regression test and MR-PRESSO global test were used to determine IV pleiotropy, and Leave-one-out analysis was used to check the stability of the results.</p><p><strong>Results: </strong>112 SNPs associated with serum 25(OH)D were identified as IVs. The IVW method showed a causal relationship between 25(OH)D and TC risk (OR = 0.761, 95% CI 0.584-0.991, P = 0.043). The results of the weighted-median method (OR = 0.858, 95%CI 0.606-1.216, P = 0.389), MR-Egger method (OR = 0.782, 95% CI 0.552-1.108, P = 0.169), weighted mode (OR = 0.779, 95%CI 0.568-1.068, P = 0.123) and simple mode (OR = 0.616, 95% CI 0.218-1.739, P = 0.362) enhance the credibility of the IVW results. Cochran's Q test, MR-Egger regression test and MR-PRESSO global test suggest that there is no significant heterogeneity and pleiotropy in IV. The leave-one-out analysis indicates that the results are stable.</p><p><strong>Conclusion: </strong>There is a causal relationship between circulating vitamin D concentration and TC risk in the population. The lower the vitamin D levels, the higher the TC risk.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1165"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181500/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Publication trends and hotspots for cervical cancer screening biomarker: a bibliometric analysis.","authors":"Jia Xu, Wen Yang, Liangying Liu, Shuting Zhou, Xiangshu Jin, Min Zhao, Miao Liu, Yuanguang Meng","doi":"10.1007/s12672-025-02936-y","DOIUrl":"10.1007/s12672-025-02936-y","url":null,"abstract":"<p><strong>Background: </strong>The global disease burden of cervical cancer has remained significant throughout history. It is essential to discover sensitive and specific biomarkers for cervical cancer screening to enhance its quality and efficiency. This study aimed to delineate the publication trends and hotspots for cervical cancer screening biomarker through a bibliometric analysis. Therefore, researchers could acquire a comprehensive understanding of this area.</p><p><strong>Methods: </strong>Professional search strategies were employed to collect literatures, with the central keywords being cervical cancer screening biomarker. Publications were retrieved from CBM/CNKI/Wanfang databases in Chinese and WoSCC/Pubmed databases in English. After being reviewed by two researchers, the publication dataset was analyzed in terms of sources, countries, authors, journals, citations and keywords using Citespace and bibliometrix package in the R environment.</p><p><strong>Results: </strong>547 publications of Chinese origin and 1068 of English origin were picked out. China, the USA and the Netherlands were the most contributing countries. Professor Meijer was the most outstanding author. There is a need to publish articles on our targeted topic in journals with greater academic influence. Current published literatures predominately focused on \"p16(ink4a) protein\", \"DNA methylation\" and \"human papillomavirus\". It has been popular in recent years to identify hub genes as candidate biomarkers through bioinformatics analysis.</p><p><strong>Conclusions: </strong>It is a challenge to discover a novel and convenient biomarker to simplify the cervical cancer screening process. Global collaboration and clinical trials in high-incidence countries may contribute to the advancement of biomarker research. HPV testing, p16(ink4a) protein and DNA methylation used to be research hotspots, and they are now applied in clinical practice. Cervico-vaginal microbiota and bioinformatics analysis are the new keywords that have emerged recently.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1151"},"PeriodicalIF":2.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PTX3 as a diagnostic and prognostic biomarker in lung adenocarcinoma: a comprehensive analysis.","authors":"Shaobo Zhou, Na Li, Dina Haishaer, Hongmei Zhao","doi":"10.1007/s12672-025-02983-5","DOIUrl":"10.1007/s12672-025-02983-5","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer remains a leading global cause of mortality, with lung adenocarcinoma (LUAD) as the predominant histological subtype. Current serum biomarkers like carcinoembryonic antigen (CEA) lack specificity, necessitating novel diagnostic targets. Pentraxin 3 (PTX3), a homo-multimeric protein downregulated in malignancies, was evaluated for its diagnostic and prognostic roles in LUAD.</p><p><strong>Methods: </strong>PTX3 expression was analyzed using TCGA/GEO datasets and clinical serum samples (97 LUAD vs. 40 controls). Diagnostic utility was assessed via ROC curves for PTX3, CEACAM5, and their combination. Prognostic value was determined by Kaplan-Meier and Cox regression. PTX3-associated differentially expressed genes (DEGs) were explored through functional enrichment, tumor microenvironment (TME) analysis, and drug sensitivity profiling.</p><p><strong>Result: </strong>The TCGA and GEO datasets revealed that PTX3 mRNA expression was significantly downregulated in LUAD, and the AUC values with PTX3 were > 0.7. Detection of CEACAM5 and PTX3 combined can improve diagnostic accuracy, and patients with high PTX3 level have shorter overall survival. Multivariate Cox analysis revealed that PTX3 is an independent predictor of overall survival. The result of ELISA further confirmed the low level of PTX3 protein. PTX3 is important in the functional analysis and TME of lung adenocarcinoma. In addition, the sensitivity of tumor cells to anti-cancer drugs is significantly correlated with the expression of PTX3.</p><p><strong>Conclusion: </strong>PTX3 emerges as a dual biomarker for LUAD diagnosis and prognosis, with mechanistic ties to TME remodeling and therapeutic resistance, highlighting its potential for clinical translation.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1158"},"PeriodicalIF":2.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging.","authors":"Ayman Mohamed Mostafa, Alaa S Alaerjan, Bader Aldughayfiq, Hisham Allahem, Alshimaa Abdelraof Mahmoud, Wael Said, Hosameldeen Shabana, Mohamed Ezz","doi":"10.1007/s12672-025-02889-2","DOIUrl":"10.1007/s12672-025-02889-2","url":null,"abstract":"<p><p>Breast cancer significantly affects people's health globally, making early and accurate diagnosis vital. While ultrasound imaging is safe and non-invasive, its manual interpretation is subjective. This study explores machine learning (ML) techniques to improve breast ultrasound image segmentation, comparing models trained on combined versus separate classes of benign and malignant tumors. The YOLOv8 object detection algorithm is applied to the image segmentation task, aiming to capitalize on its robust feature detection capabilities. We utilized a dataset of 780 ultrasound images categorized into benign and malignant classes to train several deep learning (DL) models: UNet, UNet with DenseNet-121, VGG16, VGG19, and an adapted YOLOv8. These models were evaluated in two experimental setups-training on a combined dataset and training on separate datasets for benign and malignant classes. Performance metrics such as Dice Coefficient, Intersection over Union (IoU), and mean Average Precision (mAP) were used to assess model effectiveness. The study demonstrated substantial improvements in model performance when trained on separate classes, with the UNet model's F1-score increasing from 77.80 to 84.09% and Dice Coefficient from 75.58 to 81.17%, and the adapted YOLOv8 model achieving an F1-score improvement from 93.44 to 95.29% and Dice Coefficient from 82.10 to 84.40%. These results highlight the advantage of specialized model training and the potential of using advanced object detection algorithms for segmentation tasks. This research underscores the significant potential of using specialized training strategies and innovative model adaptations in medical imaging segmentation, ultimately contributing to better patient outcomes.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1152"},"PeriodicalIF":2.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic related signature predicts the benefits of immunotherapy for kidney renal clear cell carcinoma.","authors":"Feng Xiong, Bowen Wang, Haoxun Zhang, Guoling Zhang, Boju Tao, Yiwen Liu, Chunyang Wang","doi":"10.1007/s12672-025-02991-5","DOIUrl":"10.1007/s12672-025-02991-5","url":null,"abstract":"<p><p>Clear cell renal cell carcinoma (ccRCC) stands as the pivotal pathological subtype of renal cell carcinoma. However, there exists a dearth of pertinent biological targets crucial for advancing the clinical application of ccRCC. In our investigation, we employed the weighted gene co-expression network analysis (WGCNA) to discern 13 distinct gene co-expression modules, with the yellow module exhibiting a pronounced association with tumorigenesis. Concurrently, we scrutinized 6147 differentially expressed genes through rigorous differential expression analysis. Through an intersecting approach with the genes within the yellow module, we pinpointed 265 cancer-related genes displaying notable differential expression. Subsequent Cox-regression analysis unveiled that among the 265 genes, four were notably linked to ccRCC prognosis. Furthermore, we executed single-sample gene set enrichment analysis (ssGSEA) on the signature comprising these four genes, subsequently deriving normalized enrichment scores (NESs). This investigation substantiated that the said signature bears significant implications for prognosis, holding the potential to forecast the efficacy of immunotherapy.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1153"},"PeriodicalIF":2.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ALOX15B-based efferocytosis clusters: prognostic implications and immune cell infiltration in breast cancer.","authors":"Juan Chen, Chang Zheng, Fei Zhang, Shiyao Sun, Guowen Liu, Guo Huang","doi":"10.1007/s12672-025-02961-x","DOIUrl":"10.1007/s12672-025-02961-x","url":null,"abstract":"<p><strong>Objective: </strong>Efferocytosis, a process of apoptotic cell clearance, is implicated in the initiation and progression of breast cancer. This study aims to construct an efferocytosis-related genetic risk model to evaluate its prognostic value and its association with immune infiltration in breast cancer.</p><p><strong>Methods: </strong>The expression patterns of efferocytosis-related genes in breast cancer were analyzed, followed by clustering analysis to explore their relationship with tumor immune infiltration across different subtypes. A risk model based on efferocytosis-related genes was developed to predict breast cancer prognosis and assess its correlation with immune infiltration. Using this model, the association between ALOX15B expression and breast cancer survival was evaluated. In Vitro Functional Assays, the biological role of ALOX15B in breast cancer progression was investigated using the following approaches: Cellular Proliferation: MTT assay, EdU incorporation assay, and colony formation assay were performed to assess proliferation in MCF7 and MDA-MB-231 cells. Transwell was used to quantify migratory and invasive. Flow cytometry was conducted to evaluate cell cycle distribution. Western blotting was performed to assess Epithelial-Mesenchymal Transition marker expression.</p><p><strong>Results: </strong>Clustering analysis of the expression of efferocytosis-related genes in breast cancer, Cluster A had a good prognosis and was closely associated with immune cell infiltration. Functional enrichment analysis of the activation and adaptation of immune response in Cluster A clustering may be an important factor in improving breast cancer prognosis. In addition, an immune-related gene risk model was constructed, which was found to be a valid predictor of breast cancer prognosis. Finally, it was highlighted that the expression of ALOX15B inhibited the proliferation, movement, invasion, and DNA replication capability of breast cancer cells. The growth of breast cancer cells was also impeded by ALOX15B, which hindered cell division during the G1 phase. The expression of ALOX15B is associated with the sensitivity of a variety of chemotherapeutic agents.</p><p><strong>Conclusion: </strong>Efferocytosis-related models can be used for the assessment of breast cancer prognosis, while the efferocytosis-related gene ALOX15B can affect the migration and invasive ability of breast cells.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1159"},"PeriodicalIF":2.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}