BMC Cancer最新文献

{"title":"Comprehensive molecular characteristics of hepatocellular carcinoma based on multi-omics analysis.","authors":"Ying-Ying Wang, Wan-Xia Yang, Jiang-Ying Cai, Fang-Fang Wang, Chong-Ge You","doi":"10.1186/s12885-025-13952-0","DOIUrl":"10.1186/s12885-025-13952-0","url":null,"abstract":"<p><strong>Background: </strong>The high heterogeneity of hepatocellular carcinoma (HCC) poses challenges for precision treatment strategies. This study aims to use multi-omics methodologies to better understand its pathogenesis and discover biomarkers.</p><p><strong>Methods: </strong>Quantitative proteomics was used to investigate hepatocellular carcinoma tissues (HCT) and their corresponding adjacent non-tumor tissues (DNT), obtained from six HCC patients. Untargeted metabolomics was applied to analyze the metabolic profiles of HCT and DNT of ten HCC patients. Statistical analyses, such as the Student's t-test, were performed to identify differentially expressed proteins (DEPs) and metabolites (DEMs) between the two groups. The functions and metabolic pathways involving DEPs and DEMs were annotated and enriched using the gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) databases. Bioinformatics methods were then utilized to analyze consistency between proteomics and metabolomics results, leading to identification of potential biomarkers along with key altered pathways associated with HCC.</p><p><strong>Results: </strong>This study identified 1556 DEPs between HCT and DNT samples. These DEPs were primarily enriched in crucial biological pathways such as amino acid degradation, fatty acid metabolism, and DNA replication. Subsequently, the analysis of metabolomics identified 500 DEMs that mainly participated in glycerophospholipid metabolism, the phospholipase D signaling pathway, and choline metabolism related to cancer. Integrated analysis of proteomics and metabolomics data unveiled significant dysfunctions in bile secretion, multiple amino acid and fatty acid metabolic pathways among HCC patients. Further investigation revealed that five proteins (PTP4A3, B4GALT5, GAB1, ME2, and PKM) along with seven metabolites (PI(6 keto-PGF1alpha/16:0), 13, 16, 19-docosatrienoic acid, PA(18:2(9Z, 12Z)/20:1(11Z)), Citric Acid, PG(20:3(6, 8, 11)-OH(5)/18:2(9Z, 12Z)), Spermidine, and N2-Acetylornithine) exhibited excellent diagnostic efficiency for HCC and could serve as its potential biomarkers.</p><p><strong>Conclusion: </strong>Our integrated proteome and metabolome analysis revealed 10 key HCC-related pathways and proposed 12 potential biomarkers, which may enhance our understanding of HCC pathophysiology and be helpful in facilitating early diagnosis and treatment strategies.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"573"},"PeriodicalIF":3.4,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143751075","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":"A comparative study of different parameter estimation methods for predictive models of Normal Tissue Complication Probability (NTCP) of radiation-induced temporal lobe injury following intensity-modulated radiotherapy in nasopharyngeal carcinoma.","authors":"Huidan OuYang, Yuze Liu, Xianming He, Jianze Zhang, Lei Tao, Mengmeng Liu, Jianwu Ding, Ronghuan Hu, Jiali Hu, Zequn Huang, Su Deng, Jiayin Wu, Zhengyu Xu, Qiwei Luo, Lei Zeng","doi":"10.1186/s12885-025-13906-6","DOIUrl":"10.1186/s12885-025-13906-6","url":null,"abstract":"<p><strong>Background: </strong>Normal Tissue Complication Probability (NTCP) models predict temporal lobe injury risk post-intensity-modulated radiotherapy in nasopharyngeal carcinoma patients. Optimal parameter estimation methods for NTCP models need refinement.</p><p><strong>Purpose: </strong>To identify optimal method for parameter estimation in Normal Tissue Complication Probability models for temporal lobe injury following intensity-modulated radiotherapy in nasopharyngeal carcinoma patients.</p><p><strong>Materials and methods: </strong>In this study, all patients underwent curative intensity-modulated radiation therapy at two research centers. Data of temporal lobes from three cohorts [Data-A, n = 278(training set); Data-B, n = 119(external validation set); Data-C, n = 215(internal validation set)]. Five NTCP models were considered, including the Serial Reconstruction Unit (SRU) model, Poisson model, Lyman model, Logit model and Logistic model. Three parameter estimation methods, namely Bayesian estimation (BE), Least Squares Estimation (LSE) and Maximum Likelihood Estimation (MLE), were applied to calibrate the five NTCP models. Area Under Curve (AUC), confusion matrices, dose-response curves were used to compare the performance of the models.</p><p><strong>Results: </strong>Six hundred twelve patients were enrolled, with 278 in the Data-A; 119 in the Data-B; 215 in the Data-C. The Poisson-NTCP model was evaluated using AUC and R² values across three parameter estimation methods (BE, LSE, and MLE) on three datasets. The results were as follows: Data-A: BE (AUC: 0.938, R²: 0.953), LSE (0.942, 0.986), MLE (0.940, 0.843); Data-B: BE (0.744, 0.958), LSE (0.743, 0.697), MLE (0.745, 0.857); Data-C: BE (0.867, 0.915), LSE (0.862, 0.916), MLE (0.865, 0.896). Compared with the remaining models, the Poisson-NTCP model based on BE had also better performance of fitting dose-response curve and recall rate, accuracy and specificity of confusion matrix.</p><p><strong>Conclusion: </strong>Bayesian Estimation (BE) is the best parameter estimation method among the three parameter estimation methods. The Poisson-NTCP model based on BE exhibited the best fit to the data in predicting post-IMRT incidence of TLI in NPC.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"572"},"PeriodicalIF":3.4,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742206","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":"Prognostic value of neutrophil-to-lymphocyte ratio in patients with hepatocellular carcinoma receiving curative therapies: a systematic review and meta-analysis.","authors":"Jinxiang Peng, Haozhu Chen, Zhuang Chen, Jinmei Tan, Feng Wu, Xiaojuan Li","doi":"10.1186/s12885-025-13972-w","DOIUrl":"10.1186/s12885-025-13972-w","url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality worldwide. The prognostic significance of the neutrophil-to-lymphocyte ratio (NLR) in HCC patients has been extensively studied; however, the prognostic value of NLR in HCC patients undergoing curative treatment remains unclear.</p><p><strong>Objective: </strong>This systematic review and meta-analysis aimed to comprehensively evaluate the precise significance of preoperative and postoperative NLR in predicting the prognosis of HCC patients receiving curative treatment.</p><p><strong>Methods: </strong>We conducted a comprehensive search of the PubMed, Cochrane Library, Embase, and Web of Science databases from inception to August 2024. Studies that included univariate and multivariate analyses evaluating the association between NLR and survival outcomes in HCC patients undergoing resection, transplantation, or ablation were included. The prognostic value of NLR in HCC patients receiving curative treatment was analyzed by calculating pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs).</p><p><strong>Results: </strong>A total of 43 studies involving 9,952 patients were included. Meta-analysis revealed that higher NLR was significantly associated with worse overall survival (OS) (HR = 1.55, 95% CI = 1.39-1.75, P < 0.001), recurrence-free survival (RFS) (HR = 1.77, 95% CI = 1.49-2.10, P < 0.001), and disease-free survival (DFS) (HR = 1.42, 95% CI = 1.25-1.63, P < 0.001) in HCC patients undergoing curative treatment. Subgroup analysis demonstrated a significant association between NLR and poor OS, independent of geographic region, type of survival analysis, preoperative or postoperative measurement, treatment modality, or NLR cutoff value. Publication bias and sensitivity analyses confirmed the robustness of these findings.</p><p><strong>Conclusion: </strong>Elevated NLR is significantly associated with poorer OS, RFS, and DFS in HCC patients receiving curative treatment. Future research should focus on validating the optimal NLR threshold and exploring its predictive ability in different clinical settings.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"571"},"PeriodicalIF":3.4,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954291/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742311","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":"Association between sedentary behavior, depressive symptoms, and the risk of all-cause and cause-specific mortality among U.S. cancer survivors.","authors":"Ping Yao, Ying Zhong, Zhigong Wei","doi":"10.1186/s12885-025-13578-2","DOIUrl":"https://doi.org/10.1186/s12885-025-13578-2","url":null,"abstract":"<p><strong>Background: </strong>Sedentary behavior and depressive symptoms are commonly observed in cancer survivors. However, the combined impact of these factors on the mortality outcomes of cancer survivors remains unknown.</p><p><strong>Methods: </strong>Cancer survivors from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) were selected. Multivariate-adjusted Cox regression analyses were employed to examine the intendent and joint prognostic effects of sedentary behavior and depressive symptoms on the mortality outcomes of cancer survivors.</p><p><strong>Results: </strong>A total of 2,460 US adult cancer survivors (men = 1,143 and women = 1,317) were included. Severe sedentary behavior (≥ 8 h/day) was linked to higher all-cause [hazard ratio (HR) = 1.68, 95% confidence interval (CI): 1.36-2.09, p < 0.001] and noncancer mortality (HR = 1.80, 95% CI: 1.35-2.40, p < 0.001) in cancer survivors. Each additional hour of sedentary time increased the risk of all-cause (HR = 1.05, 95% CI: 1.02-1.08, p < 0.001) and noncancer mortality (HR = 1.07, 95% CI: 1.04-1.11, p < 0.001). Depressive symptoms (PHQ-9 ≥ 5) were also associated with higher all-cause (HR = 1.22, 95% CI: 1.01-1.48, p = 0.040) and noncancer mortality (HR = 1.27, 95% CI: 1.01-1.61, p = 0.045). In the joint analysis, cancer survivors with both depressive symptoms and severe sedentary behavior had the highest risk of all-cause mortality (HR = 2.06, 95% CI: 1.47-2.88, p < 0.001). Survivors with no depressive symptoms but severe sedentary behavior also had a higher risk (HR = 1.44, 95% CI: 1.10-1.88, p = 0.008). Additionally, the combination of depressive symptoms and severe sedentary behavior increased risks of cancer-specific (HR = 1.56, 95% CI: 1.04-2.34, p = 0.001), noncancer (HR = 1.86, 95% CI: 1.34-2.57, p < 0.001), and CMD-related mortality (HR = 1.74, 95% CI: 1.04-2.93, p = 0.037). In subgroup analysis, cancer survivors with endocrine-related and gastrointestinal cancers were more sensitive to these effects.</p><p><strong>Conclusion: </strong>Our study highlighted the importance of considering both sedentary behavior and mental health in making effective long-term follow-up recommendations for cancer survivors.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"570"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742167","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":"Factors that predict progression of von Hippel-Lindau disease-related malignancy: a longitudinal cohort study.","authors":"Jae Ho Lee, Hyun Young Lee, Ji Eun Park, Min-Ju Kim, Dae Wook Hwang, Sangjoon Chong, Moinay Kim, Joo Yong Lee, Cheryn Song, Beom Hee Lee","doi":"10.1186/s12885-025-13985-5","DOIUrl":"https://doi.org/10.1186/s12885-025-13985-5","url":null,"abstract":"<p><strong>Background: </strong>Von Hippel-Lindau (vHL) disease encompasses various genetic subtypes with poorly defined progression patterns. This retrospective study of a longitudinal cohort aimed to characterize follow-up duration, treatment rates, and progression patterns according to genomic subtype, and to identify risk factors for progression.</p><p><strong>Methods: </strong>Between June 2003 and June 2020, the study enrolled 94 patients (mean age, 37.1 years; 49 females; 84 with missense mutations and 10 with truncating (i.e., insertion/deletion) mutations in the VHL tumor suppressor gene). MRI and CT imaging data were analyzed to compare tumor incidence between the two mutation groups. Cox regression analysis was used to assess predictors of hemangioblastoma (Hb) and renal cell carcinoma (RCC) progression based on genetic subtype, tumor volume, and clinical characteristics.</p><p><strong>Results: </strong>Patients with missense mutations were more often treated for RCC (p = 0.013) and adrenal pheochromocytoma (p < 0.001) than those with truncating mutations; however, genetic subtype was not a significant predictor of time-to-progression of Hb or RCC. Larger tumor volume at baseline was an independent predictor of Hb progression (HR, 1.029; 95% CI, 1.013-1.046; p < 0.001) and RCC (HR, 1.011; 95% CI, 1.005-1.017; p < 0.001). Male sex was also an independent predictor of RCC progression (HR, 3.368; 95% CI, 1.351-8.396; p = 0.009).</p><p><strong>Conclusions: </strong>Genetic subtype was not associated with progression of vHL disease, but missense mutations were associated with higher treatment rates for RCC and adrenal pheochromocytoma. The finding that progression of Hb and RCC is linked to larger baseline tumor volume and male sex may facilitate clinical management.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"562"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742292","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":"Turkish dental students' knowledge, attitudes, and awareness of oral cancer.","authors":"İbrahim Burak Yüksel, Serkan Bahrilli, Ali Altındağ","doi":"10.1186/s12885-025-13944-0","DOIUrl":"https://doi.org/10.1186/s12885-025-13944-0","url":null,"abstract":"<p><strong>Purpose: </strong>This survey aimed to assess the knowledge, attitudes, and awareness of dental students across multiple dental faculties in Turkey regarding oral cancer.</p><p><strong>Methods: </strong>The survey instrument, derived from the questionnaire developed by Horowitz et al., was translated into Turkish and distributed to participants. The survey consisted of 27 questions assessing participants' practices regarding oral cancer examination, their evaluation of patient risk factors, and their perceptions of their educational preparedness. Statistical analyses were conducted using IBM SPSS V23. The Fisher-Freeman-Halton test and Pearson Chi-Square test were employed for categorical data comparisons, while multiple comparisons were analyzed with the Bonferroni-corrected Z test. A significance level of p < 0.05 was applied.</p><p><strong>Results: </strong>The study enrolled a total of 603 dental students (239 males [39.6%] and 364 females [60.4%]) from 10 different dental faculties. Participants were distributed across three academic years, with 202 (33.5%) in the third grade, 280 (46.4%) in the fourth grade, and 121 (20.1%) in the fifth grade. The findings indicated that students demonstrated a high level of awareness regarding factors such as tobacco (98.7%), alcohol (82.9%), and ultraviolet (UV) exposure (94.5%). However, their knowledge appeared to be lacking in relation to other risk factors, including older age (74.9%) and Human Papillomavirus (HPV) infection (83.7%).</p><p><strong>Conclusion: </strong>Overall, the study suggests that dental students in Turkey exhibit a moderate level of awareness concerning oral cancer. The outcomes of this investigation underscore the pressing need for enhancements in oral cancer education and training for undergraduate dental students. Furthermore, there is a visible need for the implementation of periodic, well-structured continuing professional development activities aimed at enhancing the oral cancer-related competencies of dental professionals in practice.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"568"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742338","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":"A deep learning model for classification of chondroid tumors on CT images.","authors":"Felix G Gassert, Daniel Lang, Nina Hesse, Hans Roland Dürr, Alexander Klein, Luca Kohll, Florian Hinterwimmer, Johanna Luitjens, Stefan Weissinger, Jan C Peeken, Carolin Mogler, Carolin Knebel, Stefan Bartzsch, Florian T Gassert, Alexandra S Gersing","doi":"10.1186/s12885-025-13951-1","DOIUrl":"https://doi.org/10.1186/s12885-025-13951-1","url":null,"abstract":"<p><strong>Background: </strong>Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas using CT images.</p><p><strong>Methods: </strong>This retrospective study analyzed chondroid tumors from two independent cohorts. Tumors were segmented on CT images. A 2D convolutional neural network was developed and tested using split-sample and geographical validation. Four radiologists blinded to patient data and the DLM results with various levels of experience performed readings of the external test dataset for comparison. Performance metrics included accuracy, sensitivity, specificity, and area under the curve (AUC).</p><p><strong>Results: </strong>CTs from 344 patients (175 women; age = 50.3 ± 14.3 years;) with diagnosed enchondroma (n = 124), ACT (n = 92) or high-grade chondrosarcoma (n = 128) were analyzed. The DLM demonstrated comparable performance to radiologists (p > 0.05), achieving an AUC of 0.88 for distinguishing enchondromas from chondrosarcomas and 0.82 for differentiating enchondromas from ACTs. The DLM and musculoskeletal expert showed similar performance in differentiating ACTs from high-grade chondrosarcomas (p = 0.26), with an AUC of 0.64 and 0.56, respectively.</p><p><strong>Conclusions: </strong>The DLM reliably differentiates benign from malignant cartilaginous tumors and is particularly useful for the differentiation between ACTs and Enchondromas, which is challenging based on CT images only. However, the differentiation between ACTs and high-grade chondrosarcomas remains difficult, reflecting known diagnostic challenges in radiology.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"561"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742107","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":"Joint association of depressive symptoms and dietary patterns with mortality among US cancer survivors: a population-based study.","authors":"Zongyuan Li, Cheng Yu, Jianqi Hao, Yueli Shu, Jili Li, Jian Zhang, Qiang Pu, Lunxu Liu","doi":"10.1186/s12885-025-13945-z","DOIUrl":"https://doi.org/10.1186/s12885-025-13945-z","url":null,"abstract":"<p><strong>Background: </strong>Depression and diet are both common modifiable factors related to mortality rates among individuals with cancer, but their combined effects remained underexplored. We aimed to comprehensively evaluate the independent and joint association of depressive symptoms and dietary patterns with mortality among cancer survivors.</p><p><strong>Methods: </strong>A cohort of US cancer survivors (3,011 eligible participants, representing 20 million cancer patients) were collected from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ-9). Based on dietary data from 24-hour recall, several well-developed dietary pattern indices were calculated, including Healthy Eating Index-2020 (HEI-2020), Alternative Healthy Eating Index (AHEI), Alternate Mediterranean Diet Score (aMED), MED Index in serving sizes from the PREDIMED trial (MEDI), Dietary Approaches to Stop Hypertension Index (DASH), DASH Index in serving sizes from the DASH trial (DASHI), Dietary Inflammation Index (DII), and DII excluding alcohol (DII [No EtOH]). Kaplan-Meier curves and multivariable Cox proportional hazards regression models were conducted to investigate the relationships of independent and combined prognostic effects of PHQ-9 score and dietary pattern indices with survival among cancer survivors.</p><p><strong>Results: </strong>In joint analysis, combinations of lower PHQ-9 score with higher HEI-2020, AHEI, aMED or DASH were favorably linked to lower risks of overall and noncancer mortality. Representatively, cancer survivors with no to minimal depressive symptoms (PHQ-9 score: 0-4) and high adherence to the HEI-2020 had lower risk of all-cause (HR = 0.43, 95% CI: 0.24-0.75) and noncancer (HR = 0.29, 95% CI: 0.15-0.55) mortality, when compared to those with PHQ-9 score ≥ 10 and low adherence to the HEI-2020. Additionally, a combination of higher adherence to the MEDI and lower PHQ-9 scores was linked to a reduced risk of noncancer mortality.</p><p><strong>Conclusions: </strong>The joints of depressive symptoms and certain dietary patterns were associated with risks of all-cause, cancer-specific, and noncancer mortality among cancer survivors. Early psychological counseling and individualized dietary strategies are crucial to reduce mortality risk and improve quality of life for this population.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"566"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954181/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742302","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":"Synergistic potential of CDH3 in targeting CRC metastasis and enhancing immunotherapy.","authors":"Chen Fu, Jia Fu, Chaoyue Liu, Zhaojin Yu","doi":"10.1186/s12885-025-13845-2","DOIUrl":"https://doi.org/10.1186/s12885-025-13845-2","url":null,"abstract":"<p><strong>Background: </strong>Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, particularly due to advanced-stage metastasis. P-cadherin (CDH3), a potential therapeutic target, is highly expressed in CRC tissues and associated with poor prognosis and metastasis. However, the mechanisms underlying its role in CRC progression and its translational potential remain poorly understood.</p><p><strong>Materials and methods: </strong>This study integrated multiple public databases (TCGA, HCMDB, UALCAN, HPA, UniProt, cBioPortal, and GEO) to evaluate CDH3 expression, construct a prognostic model, and perform functional and translational analyses. Immunohistochemistry was used to validate CDH3 protein expression in clinical samples. Additional analyses included correlations with clinicopathological parameters, immune infiltration (TIDE, TISIDB), functional enrichment (KEGG, GSEA), drug sensitivity (GSCA), and molecular docking (MOE). Single-cell sequencing (CancerSEA, HPA) was also conducted to explore CDH3's role at the single-cell level.</p><p><strong>Results: </strong>CDH3 expression was significantly elevated in CRC tissues and correlated with poor prognosis, recurrence, and metastasis. CDH3 expression was associated with the infiltration of resting immune cells, particularly dendritic cells, and enrichment analysis revealed its critical role in CRC metastasis through extracellular matrix (ECM) and local adhesion pathways. Notably, afatinib emerged as a promising candidate for targeting CDH3 via \"drug repositioning,\" a process involving the repurposing of existing drugs for new therapeutic applications.</p><p><strong>Conclusion: </strong>This study provides novel insights into CDH3's role in CRC metastasis and its potential as a therapeutic target. The translational potential of CDH3, including its integration with immunotherapy and drug repositioning strategies, offers a promising avenue for the treatment of metastatic CRC.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"560"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742315","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":"Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.","authors":"Liang Wang, PeiPei Zhang, Yanhui Feng, Wenzhi Lv, Xiangde Min, Zhiyong Liu, Jin Li, Zhaoyan Feng","doi":"10.1186/s12885-025-13844-3","DOIUrl":"https://doi.org/10.1186/s12885-025-13844-3","url":null,"abstract":"<p><strong>Background: </strong>Distinguishing between benign and malignant testicular lesions on clinical magnetic resonance imaging (MRI) is crucial for guiding treatment planning. However, conventional MRI-based radiomics to identify testicular cancer requires expert machine learning knowledge. This study aims to investigate the potential of utilizing automatic machine learning (AutoML) based on MRI to diagnose testicular lesions without the need for expert algorithm optimization.</p><p><strong>Methods: </strong>Retrospective preoperative MRI scans from 115 patients diagnosed with testicular disease through pathology were obtained. A total of 1781 radiomics features were extracted from each lesion on the T2-weighted images. Intraclass and interclass correlation coefficients were used to evaluate the intra-observer and interobserver agreements for each radiomics feature. We developed an AutoML method based on the tree-based pipeline optimization tool (TPOT) algorithm to construct a discriminant model. The best pipeline was determined through 100 repeated operations using a 5-fold cross-validation algorithm in TPOT. The model was evaluated for accuracy, sensitivity, and specificity using the area under the curve (AUC) value of the receiver operating characteristic (ROC) curve. Shapley Additive exPlanations were used to illustrate the optimization results.</p><p><strong>Results: </strong>Utilizing the TPOT method, 100 diagnostic models were developed to identify testicular lesions. The best model was determined based on the highest AUC in the training cohort. The prediction model yielded AUC values of 0.989 (95% confidence interval [CI]: 0.985-0.993) and 0.909 (95% CI: 0.893-0.923) in the training and testing cohorts, respectively.</p><p><strong>Conclusions: </strong>AutoML, based on the TPOT algorithm, holds potential as a noninvasive method for effectively discriminating between benign and malignant testicular lesions.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"563"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742299","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}