BMC Cancer最新文献

{"title":"The impact of systemic inflammatory markers on EGFR-mutant non-small cell lung cancer.","authors":"Supagone Wangsubtawee, Thanaporn Thamrongjirapat, Narumol Trachu, Pimpin Incharoen, Natini Jinawath, Passaworn Cheyasawan, Nanamon Monnamo, Dittapol Munthum, Nattanan Reungwetwattana, Salin Amponnavarat, Pimtip Sanvarinda, Arthit Chairoungdua, Montien Ngodngamtaweesuk, Khantong Khiewngam, Ekaphop Sirachainan, Phichai Chansriwong, Thitiya Dejthevaporn, Thanyanan Reungwetwattana, Putthapoom Lumjiaktase","doi":"10.1186/s12885-025-14915-1","DOIUrl":"10.1186/s12885-025-14915-1","url":null,"abstract":"<p><strong>Background: </strong>High prevalence of EGFRm lung cancer was found in the Asian population. Preclinical data suggest that inflammatory cytokines activated by PM2.5 affected EGFRm clone expansion. Here, we explored the correlation between inflammatory markers and EGFRm NSCLC.</p><p><strong>Methods: </strong>Resected NSCLC patients (2016-2023) were enrolled. Tumor tissues and blood serum were retrieved from Ramathibodi tumor biobank. EGFR 19del and L858R mutations were performed by rt-PCR in cancerous tissue and dPCR in normal tissue in the same patient. NF-Kb and STAT3 protein signaling were measured by ELISA in both cancerous and normal tissue. Cytokines (IL-1ß, IL-6, IL-8, IL-10, IL-12 and TNF-α) were explored in serum by flow cytometry.</p><p><strong>Results: </strong>Among 140 patients, EGFRm prevalence was 58% in cancerous tissue but only 5% in normal tissue. NF-kB and STAT3 were statistically higher in cancerous tissue than normal tissue [NF-kB median O.D.=0.82 (IQR; 0.07-2.82) vs. 0.32 (IQR; 0.05-2.48), P < 0.001; STAT3 median O.D.=0.32 (IQR; 0.10-1.58) vs. 0.17 (IQR; 0.06-1.29, P < 0.001]. STAT3 was significantly increased in EGFRm compared to EGFRwt [median O.D.=0.36 (IQR; 0.234-0.592) vs. 0.23 (IQR; 0.158-0.409), OR = 11.09 (95% CI; 2.17-56.58), P = 0.004]. TNF-α, IL-10, and STAT3 in cancer cells were higher in EGFRm than EGFRwt (P = 0.003, 0.008, and < 0.001, respectively). None of cytokines was statistically different between EGFRm and EGFRwt patients. However, only STAT3 in cancer cells and non-smoker were associated with EGFRm NSCLC in multivariable analysis.</p><p><strong>Conclusion: </strong>Inflammation could be one of the pathogenesis of both NSCLC and EGFRm lung cancer as we demonstrated in our pilot study. STAT3 is a potentially inflammatory-predictive biomarkers. Larger cohort is needed.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1510"},"PeriodicalIF":3.4,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variations in radiomic features of the femoral head and neck during helical tomotherapy in prostate and rectal cancer patients.","authors":"Maryam Gholizade, Elmira Yazdani, Fatemeh Sadat Hosseini-Baharanchi, Alireza Nikoofar, Golbarg Esmaili, Foad Goli-Ahmadabad, Seied Rabi Mahdavi, Malakeh Malekzadeh","doi":"10.1186/s12885-025-14903-5","DOIUrl":"10.1186/s12885-025-14903-5","url":null,"abstract":"<p><strong>Background: </strong>This study introduces a novel approach for screening bone alterations in the femoral head and neck (H&N) of prostate cancer (PCa) and rectal cancer (RCa) patients during helical tomotherapy (HT) using megavoltage computed tomography (MVCT) images. The goal is to identify robust radiomic features (RFs) with the highest percentage changes during treatment and examine their correlation with the administered dose.</p><p><strong>Methods: </strong>Reproducible RFs were identified through a test-retest analysis using a cheese phantom. This study involved 20 male patients (10 PCa, 10 RCa). The left and right femoral H&N regions were segmented on MVCT images from the initial, middle, and final HT sessions. Absolute RF values and relative percentage changes were analyzed using repeated measures analysis of variance (ANOVA). The Pearson correlation coefficient with Benjamini-Hochberg adjustment (q < 0.05) was used to evaluate the relationship between altered RFs and the dose (Gy).</p><p><strong>Results: </strong>The femoral H&N had the highest relative percentage changes (RPCs) for intensity-histogram (IH) and intensity-based (IB) RFs, respectively, with texture-based RFs providing insights into radiotherapy-induced changes. Strong correlations (r ~ -0.7) were observed between changes in H&N RFs and dose (Gy) in PCa. For RCa, IB features, including the IB_Coefficient_of_Variation (r = 0.54) for the neck, and IH RFs, such as IH_Minimum_Histogram_Gradient (r = -0.51) and IB_Robust_Mean_Absolute_Deviation (r = 0.55) for the head, showed significant correlations.</p><p><strong>Conclusions: </strong>Among robust RFs, the most highly correlated with dose alterations were IB, IH, and gray-level co-occurrence matrix (GLCM)-based RFs. The RFs at mid- and end-treatment varied with dose fractionation. Percentage changes in robust MVCT features during HT may serve as early markers.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1509"},"PeriodicalIF":3.4,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"α-L-fucosidase isoenzymes (FUCA1/FUCA2) as prognostic markers in gliomas: a comprehensive study.","authors":"Chao Zuo, Yi Liu, Ziqiang Wang, Hailian Chen, Yu Wang, Yongchao Qiao","doi":"10.1186/s12885-025-15049-0","DOIUrl":"10.1186/s12885-025-15049-0","url":null,"abstract":"","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1511"},"PeriodicalIF":3.4,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of tumor draining lymph nodes in the formation and maturation of tertiary lymphoid structure in patients with lung adenocarcinoma.","authors":"Junxu Wen, Wenhua Yun, Xiaoyan Yin, Xiangjiao Meng","doi":"10.1186/s12885-025-14913-3","DOIUrl":"10.1186/s12885-025-14913-3","url":null,"abstract":"<p><strong>Background: </strong>Tertiary lymphoid structures (TLSs), ectopic lymphoid aggregates composed of immune cells, are associated with favorable clinical outcomes and increased efficacy of anti-tumor immunotherapies. However, the mechanisms underlying the formation and maturation of TLSs require further elucidation. The correlation between tumor immune microenvironment in tumor-draining lymph nodes (TDLNs) and TLSs remains inadequately studied. The study aimed to utilize multiplex immunofluorescence (mIF) to explore the relationship between TDLN and TLSs.</p><p><strong>Methods: </strong>Tissue slides from 120 patients with lung adenocarcinoma (LUAD) were collected to perform for mIF staining. Panel 1 (DAPI, CD20, CD21, CD23) was used for the quantitative and qualitative analyses of TLS. Panel 2 (DAPI, CD4, CD8, CD20) was used to describe the immune microenvironment of the tumor and TDLN.</p><p><strong>Results: </strong>TLS (+) patients showed better disease-free survival (DFS) (mDFS, 70.8 vs. 28.7 months; p = 0.013, HR = 0.555, 95% CI 0.352 to 0.875) and overall survival (OS) (mOS, 77.83 months vs. not reached; p = 0.028, HR = 0.512, 95% CI 0.289 to 0.907) compared to TLS (-) patients. B cells in the tumor and TDLN determined the formation of TLSs. A higher percentage of B cells in the tumor / B cells in the TDLN correlated with a higher number of TLSs (p < 0.0001, r = 0.349). In addition, a high percentage of TIM-1 + B cells /B cells in the TDLN was correlated with a reduced percentage of mature TLSs (p < 0.001, r=-0.441).</p><p><strong>Conclusion: </strong>This study demonstrated that B cells in the tumor and TDLN play critical roles in the formation and maturation of TLS. TIM-1 + B cell is a unique immunosuppressive B cell subset that impedes the maturation of TLS and could be a promising target for improving the maturation of TLS and the prognosis of LUAD.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1507"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of a Chinese library of patient-derived xenografts from gastrointestinal cancers.","authors":"Ying Liu, Wei He, Qi Wu, Jia-Fu Ji, Lin Shen, Chun-Yi Hao, Rui-Ping Xu, Ke-Neng Chen, Nan Wu, Chang-Qi Cao, Ying Hu, Li-Xin Zhang, Huan-Yu Chen, Zhe Hu, Ya-Qi Pan, Wen-Qing Yuan, Jing-Jing Li, Bin Dong, Meng-Fei Liu, Zhen Liu, Fang-Fang Liu, Hong Cai, Zhong-Hu He, Yang Ke","doi":"10.1186/s12885-025-14845-y","DOIUrl":"10.1186/s12885-025-14845-y","url":null,"abstract":"<p><strong>Background: </strong>Patient-derived xenografts (PDX) models have been regarded as an important tool for preclinical research. The aim of this study was to establish a Chinese PDX library from gastrointestinal cancers, especially esophageal squamous cell carcinoma (ESCC), esophagogastric junction adenocarcinoma (EGJAC), and gastric adenocarcinoma (GAC).</p><p><strong>Methods: </strong>1001 surgical tissues or endoscopic biopsy tissues of gastrointestinal cancers were subcutaneously implanted into NOD/SCID mice between January 2013 and August 2015. Engraftment rates, latency period of xenograft formation, patients' clinicopathological characteristics and survival associated with xenografts for ESCC, EGJAC and GAC were assessed.</p><p><strong>Results: </strong>208 PDX models were established (20.8%, 208/1001), among which 82 were from ESCC (21.2%, 82/386), 31 from EGJAC (16.9%, 31/183), and 29 from GAC (10.9%, 29/266). The average latency period of xenograft formation of ESCC, EGJAC, and GAC was 76.2, 90.5, and 85.2 days, respectively, for the first passage, and decreased to 52.5, 54.8, and 52.6 days, respectively for the second passage. For ESCC, gender, specimen type and differentiation were associated with engraftment; and for GAC, the factors associated with engraftment were age, specimen type, differentiation, and Lauren classification. The median follow-up of patients with ESCC, EGJAC and GAC was 46, 64 and 64 months, respectively. For GAC, the survival time of patients from whom the tumor tissues achieved successful engraftment was significantly shorter than that without xenograft formation.</p><p><strong>Conclusions: </strong>We established a Chinese PDX library from gastrointestinal cancers, especially ESCC, a characteristic tumor type in China, providing a platform for drug development and individualized therapy.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1508"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative prediction of pituitary neuroendocrine tumor consistency based on multiparametric MRI radiomics: a multicenter study.","authors":"Qiuyuan Yang, Yubo Wang, Jialei Wu, Hao Hu, Yimin He, Yan Wang, Bin Yang","doi":"10.1186/s12885-025-14799-1","DOIUrl":"10.1186/s12885-025-14799-1","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the clinical value of preoperative prediction of pituitary neuroendocrine tumor（PitNET） consistency based on multiparametric magnetic resonance imaging (mpMRI) radiomics.</p><p><strong>Patients and methods: </strong>The clinical data of 137 patients with PitNET who underwent preoperative mpMRI were retrospectively analyzed and classified into soft and hard according to the consistency of the PitNET tumor with the surgical records of neurosurgeons. The patients were randomly divided into two sets: a training set (n = 108) and an internal validation set (n = 29). Single and multifactorial factors were used to analyze clinical high-risk risk factors and establish clinical models. Using the logistic regression (LR) classifier to construct radiomics signature based on 2D and 3D region of interest(ROI), respectively. Combined with clinical characteristics and radiomics features, a combined clinical-radiomics model was constructed, and the nomogram was drawn. The robustness and accuracy of the prediction model were tested by using multi-center clinical data as an external validation set.</p><p><strong>Results: </strong>4224 and 5061 radiomics features were extracted based on 2D ROI and 3D ROI, and 28 and 15 predictive features were selected. Among the radiomics signature, the 3D-multi (T1WI + T2WI + CE-T1) radiomics signature constructed based on 3D ROI has high prediction efficiency. The area under curve(AUC) values in the training set and the internal validation set are 0.793 (95% confidence interval (CI): 0.711-0.859) and 0.798 (95% CI: 0.643-0.942), respectively. Among the combined clinical-radiomics models, the 2D&3D ROI model have the highest prediction efficiency, with the AUC values of 0.894 (95% CI: 0.832-0.942) and 0.813 (95% CI: 0.667-0.926) in the training set and the internal validation set, respectively.</p><p><strong>Conclusion: </strong>In this study, the mpMRI (T1WI+T2WI+CE-T1) radiomics model could effectively and accurately predict the consistency of pituitary neuroendocrine tumor before Surgery, and the prediction efficiency of the radiomics model based on 2D and 3D ROI is different.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1501"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"α-hederin inhibits cervical cancer progression by inducing DNA damage-dependent cell cycle blockade and apoptosis.","authors":"Yanlun Song, Haimei Qin, Shaofeng Huang, Jian Wang, Yuehua Huang, Zongyun Lin, Fenglian Yang, Xin Zhang, Rong Wang, Junli Wang","doi":"10.1186/s12885-025-14920-4","DOIUrl":"10.1186/s12885-025-14920-4","url":null,"abstract":"<p><strong>Background: </strong>Cervical cancer incidence has not decreased significantly despite widespread use of HPV vaccines and screening measures.</p><p><strong>Purpose: </strong>This study explored the potential of α-Hederin in the treatment of cervical cancer.</p><p><strong>Methods: </strong>CCK8, EdU staining assay, flow cytometry were conducted for apoptosis, cell cycle, ROS, and mitochondrial membrane potential. Mechanism effects of α-hederin on cervical cancer cells were investigated using transcriptome sequencing, bioinformatics analysis, and single-cell sequencing. Further in-depth detection of key proteins with western blot, immunofluorescence, overexpression of CHK1 gene, DNA damage inhibitors, and NAC inhibitors were performed to study the regulation of the cell cycle. In vivo nude mice tumorigenicity experiments and metabolomics analysis of the tumor tissue were also performed.</p><p><strong>Results: </strong>α-Hederin significantly inhibited SiHa and HeLa cell growth, promoted apoptosis, and inhibited migration and invasion of cervical cancer cells. Sequencing and bioinformatics analysis revealed that α-hederin mainly regulated cell cycle, DNA replication, P53, and other signaling pathways to inhibit the proliferation of cervical cancer cells and inhibited the G2M phase of the cell cycle, mainly by suppressing CDK1 and CyclinB expression. α-hederin may use ATM-CHK1-CDC25B/CDC25C and ATM-P53-P21 to regulate CDK1/Cycline B activity. Inhibition of this action significantly promoted G2M phase block. In vivo experiment indicated that the drug can effectively inhibit cervical cancer growth.</p><p><strong>Conclusion: </strong>α-hederin may be an effective drug to inhibit cervical cancer and has a good development prospect.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1503"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495757/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chidamide impedes glycolysis but increases ferroptosis and cisplatin sensitivity of lung cancer cells through downregulating USP35.","authors":"Kunjie Wang, Lin An, Aimin Zang, Yue Huo","doi":"10.1186/s12885-025-14925-z","DOIUrl":"10.1186/s12885-025-14925-z","url":null,"abstract":"","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1504"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Survival risk stratification of 2021 WHO glioblastoma by MRI radiomics and biological exploration.","authors":"Yangyang Li, Wenji Xu, Chunjuan Zhao, Jie Zhang, Zhiyi Zhang, Pengxin Shen, Xiaochun Wang, Guoqiang Yang, Jiangfeng Du, Hui Zhang, Yan Tan","doi":"10.1186/s12885-025-14906-2","DOIUrl":"10.1186/s12885-025-14906-2","url":null,"abstract":"<p><strong>Background: </strong>There is variability in overall survival among 2021 World Health Organization isocitrate dehydrogenase wild type glioblastoma (IDH-wt GBM) patients. The aim of the study was to develop a combined model for stratifying survival risk in IDH-wt GBM and explore the biological foundation.</p><p><strong>Methods: </strong>A total of 369 IDH-wt GBM patients were retrospectively collected: 273 patients from three local hospitals (training set: n = 192, testing set: n = 81) and 96 patients from the TCIA database (validation set). Radiomics features from tumor and peritumoral edema in preoperative CE-T1WI and T2FLAIR were extracted. Univariate and least absolute shrinkage and selection operator Cox regression analyses selected significant radiomics features to construct radiomics model, while univariable and multivariable analyses identified clinical risk factors for the clinical model. High-risk and low-risk patients from radiomics and clinical model underwent subgroup analysis. The combined model was constructed using the Random Survival Forest model. Additionally, differentially expressed genes between combined high-risk and low-risk groups were identified, with enrichment analyses exploring their biological mechanisms.</p><p><strong>Results: </strong>The radiomics model categorizes patients into high-risk and low-risk groups with superior performance (C-index: 0.762/0.715/0.690 for training/testing/validation sets) compared to the clinical model (C-index: 0.700/0.656/0.643). The combined model demonstrates the highest value in survival risk stratification (C-index: training/testing/validation sets: 0.788/0.725/0.709). The activation of Gamma-aminobutyric acid (GABA) receptor-related pathways is closely associated with malignant progression and prognosis of IDH-wt GBM.</p><p><strong>Conclusions: </strong>The radiomics model might be a new prognostic biomarker for IDH-wt GBM. The combined model shows an approximately 12.57% improvement of stratification ability over the clinical model. Additionally, the significant activation of GABA receptor-related pathways may be a biological feature of combined high-risk IDH-wt GBM.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1505"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495617/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression and prognostic value of MCM2 in type B thymomas.","authors":"Xin Du, Jian Cui, Xintao Yu, Dingfang Cao, Ying Zhang, Lei Yu, Shanqing Li","doi":"10.1186/s12885-025-14807-4","DOIUrl":"10.1186/s12885-025-14807-4","url":null,"abstract":"<p><strong>Background: </strong>Thymic epithelial tumors (TETs) are the most common mediastinal malignancies, lacking reliable prognostic biomarkers. This study aimed to identify a potential prognostic marker for TETs.</p><p><strong>Methods: </strong>mRNA microarray analysis of 30 tumor and peritumoral tissues identified differentially expressed genes (DEGs). Hub genes were selected via protein-protein interaction (PPI) analysis, with MCM2 chosen as the target gene. Survival and enrichment analyses were performed, and a validation cohort assessed MCM2's association with prognosis and clinicopathological features.</p><p><strong>Results: </strong>Seven hundred thirty-four DEGs were identified, with MCM2 significantly associated with prolonged progression-free survival (PFS) (HR = 0.17; 95% CI: 0.05-0.54; p = 0.003) and identified as an independent risk factor for PFS (HR = 0.26; 95% CI: 0.08-0.91; p = 0.035). MCM2 expression decreased from type B1 to B3 thymomas.</p><p><strong>Conclusions: </strong>MCM2 is an independent prognostic factor for TETs, with higher expression linked to better PFS and decreasing expression across B-type thymomas, suggesting its role as a favorable prognostic marker.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1506"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}