Frontiers in Oncology最新文献

{"title":"Immunological features of various molecular subtypes of cervical cancer and their prognostic implications in the context of disulfidptosis.","authors":"Yadan Yao, Xiaomin Yang, Yuanxin Fu, Yinmin Zhang","doi":"10.3389/fonc.2025.1574911","DOIUrl":"https://doi.org/10.3389/fonc.2025.1574911","url":null,"abstract":"<p><strong>Objective: </strong>Cervical cancer ranks among the most prevalent malignancies impacting women globally. Disulfidptosis represents a recently identified pathway of cellular demise, although its role in the context of cervical cancer is not well elucidated. This research investigates the significance of Disulfidptosis-Related Genes (DRGs) within cervical cancer. Furthermore, it aims to analyze the differences in prognosis and immune infiltration among different molecular subtypes.</p><p><strong>Methods: </strong>We compiled genes associated with cervical cancer and disulfidptosis from a variety of databases to perform a differential expression analysis. Subsequently, the samples are grouped through consensus clustering. To evaluate immune cell infiltration, we employed CIBERSORT. Additionally, immune checkpoint genes (ICGs) were gathered from existing literature and databases, enabling statistical analyses of two subtype samples of cervical cancer (CESC). Following our analyses using GO, KEGG, and GSEA to compare the differences between the two subtypes. Lastly, a prognostic risk model was constructed using LASSO regression and validated using ROC.</p><p><strong>Results: </strong>This study identified seven key genes: <i>PCBP3, ARNT, ANP32E, DSTN, CD2AP, EPAS1</i>, and <i>ACTN1</i>.The consensus clustering analysis showed differences in immune cell infiltration and DFS(disease-free survival) among the various clusters. The immune checkpoint gene <i>CXCL1</i> displayed highly significant statistical differences between subtype A (Cluster 1) and subtype B (Cluster 2) in cervical cancer (CESC) samples. The gene set enrichment analysis identified the negative regulation of peptidase activity and the IL-17 signaling pathway, which link to subtype-specific differentially expressed genes (DEGs).</p><p><strong>Conclusion: </strong>Statistical analysis of the various subtypes of CESC samples highlighted the importance of subtype-specific therapeutic targets. Additionally, it seeks to enhance the accuracy of prognostic predictions, thereby establishing a foundation for the formulation of personalized treatment approaches.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1574911"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized prediction of breast cancer candidates for Anti-HER2 therapy using ¹⁸F-FDG PET/CT parameters and machine learning: a dual-center study.","authors":"Zhenguo Sun, Jianxiong Gao, Wenji Yu, Xiaoshuai Yuan, Peng Du, Peng Chen, Yuetao Wang","doi":"10.3389/fonc.2025.1590769","DOIUrl":"https://doi.org/10.3389/fonc.2025.1590769","url":null,"abstract":"<p><strong>Background: </strong>Accurately evaluating human epidermal growth factor receptor (HER2) expression status in breast cancer enables clinicians to develop individualized treatment plans and improve patient prognosis. The purpose of this study was to assess the performance of a machine learning (ML) model that was developed using ¹⁸F-FDG PET/CT parameters and clinicopathological features in distinguishing different levels of HER2 expression in breast cancer.</p><p><strong>Methods: </strong>This retrospective study enrolled breast cancer patients who underwent ¹⁸F-FDG PET/CT scans prior to treatment at Lianyungang First People's Hospital (centre 1, n=157) and the Third Affiliated Hospital of Soochow University (centre 2, n=84). Two classification tasks were analysed: distinguishing HER2-zero expression from HER2-low/positive expression (Task 1) and distinguishing HER2-low expression from HER2-positive expression (Task 2). For each task, patients from Centre 1 were randomly divided into training and internal test sets at a 7:3 ratio, whereas patients from Centre 2 served as an external test set. The prediction models included logistic regression (LR), support vector machine (SVM), extreme gradient boosting (XGBoost) and multilayer perceptron (MLP), and SHAP analysis provided model interpretability. Model performance was evaluated via the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).</p><p><strong>Results: </strong>XGBoost models exhibited the best predictive performance in both tasks. For Task 1, recursive feature elimination (RFE) was used to select 8 features, excluding pathological features, and the XGBoost model achieved AUCs of 0.888, 0.844 and 0.759 for the training, internal and external testing sets, respectively. The top three features according to the SHAP values were the tumour minimum diameter, mean standardized uptake value (SUVmean) and CTmean. For Task 2, 9 features were selected, including progesterone receptor (PR) status as a pathological feature. The XGBoost model achieved AUCs of 0.920, 0.814 and 0.693 for the training, internal and external testing sets, respectively. The top three features according to the SHAP values were the PR status, maximum tumour diameter and metabolic tumour volume (MTV).</p><p><strong>Conclusions: </strong>ML models that incorporate ¹⁸F-FDG PET/CT parameters and clinicopathological features can aid in the prediction of different HER2 expression statuses in breast cancer.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1590769"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capsaicin induces ferroptosis via suppression of SLC7A11 activity and upregulation of ACSL4 mediated by AMPK in tongue squamous cell carcinoma.","authors":"Qiwei Zhao, Yu Wang, Long Ding, Zhuang Li, Mengyang Wang, Yueqing Huang, Qiushi Cao, Yaqin Sun, Xiaohong Guo","doi":"10.3389/fonc.2025.1532555","DOIUrl":"https://doi.org/10.3389/fonc.2025.1532555","url":null,"abstract":"<p><strong>Introduction: </strong>The global incidence of tongue squamous cell carcinoma (TSCC) has been steadily increasing. Our previous studies have demonstrated that capsaicin (CAP) promotes apoptosis and inhibits cell migration, thereby exerting anti-TSCC effects. In this study, we aimed to validate whether CAP induces ferroptosis in TSCC and to elucidate the underlying mechanisms.</p><p><strong>Methods: </strong>Cell viability in HN6 and CAL27 cells was assessed using CCK-8 assays. Mitochondrial structural changes were observed via transmission electron microscopy (TEM). The levels of malondialdehyde (MDA), Fe²⁺, reactive oxygen species (ROS), and glutathione (GSH) were measured by the corresponding assay kits. Ferrostatin-1 (Fer-1) was utilized to confirm the involvement of ferroptosis. Western blotting was employed to evaluate the phosphorylation of AMP-activated protein kinase (AMPK), acyl-CoA synthetase long-chain family member 4 (ACSL4), and glutathione peroxidase 4 (GPX4). Additionally, Glutamic acid release was determined using an assay kit. The interaction between BECN1 and solute carrier family 7 member 11 (SLC7A11) was analyzed by co-immunoprecipitation (Co-IP). To elucidate the underlying mechanisms, lentiviral-mediated shRNA knockdown of AMPK was performed, with subsequent <i>in vivo</i> validation.</p><p><strong>Results: </strong>CAP significantly suppressed the viability of HN6 and CAL27 cells. TEM analysis revealed mitochondrial damage following CAP treatment. Furthermore, CAP increased levels of MDA, Fe²⁺, and ROS while decreasing GSH; these alterations were reversed by Fer-1 treatment. Western blot analyses indicated that CAP upregulated phosphorylated AMPK and ACSL4 but downregulated GPX4 expression. Moreover, CAP inhibited glutamate release while enhancing BECN1-SLC7A11 binding, suggesting a reduction in SLC7A11 activity through the AMPK/BECN1 pathway. Notably, AMPK inhibition mitigated CAP-induced changes in p-BECN1, ACSL4, MDA, Fe²⁺, GSH, and ROS levels. <i>In vivo</i> experiments corroborated these findings.</p><p><strong>Discussion: </strong>Our study demonstrates that CAP activate the AMPK signaling, inhibits the activity of SLC7A11 and increases ACSL4 expression, thereby inducing ferroptosis in TSCC. These findings, supported by <i>in vivo</i> data, highlight CAP's role in triggering ferroptosis as an anti-TSCC mechanism.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1532555"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116642/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rare comorbidity of colon cancer, hepatic malignant mesothelioma, and abdominal Ewing's sarcoma: a case report.","authors":"Yanru Li, Lukang Teng, Shupeng Wang, Xudong Wu, Tianchen Huang","doi":"10.3389/fonc.2025.1558347","DOIUrl":"https://doi.org/10.3389/fonc.2025.1558347","url":null,"abstract":"<p><p>We present a rare case of a patient with a history of colon cancer who subsequently developed hepatic mesothelioma and extraosseous Ewing's sarcoma 10 years after surgery. The diagnosis of three completely different types of cancer in the same patient over a decade was confirmed through histopathological and immunohistochemical analysis. This case highlights the importance of clinicians maintaining a heightened awareness and clinical vigilance regarding multiple primary cancers, ensuring patients receive comprehensive diagnosis and treatment for improved prognosis and desired survival outcomes.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1558347"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel ultrasound features and diagnostic clues of gastric-type endocervical adenocarcinoma: a case series.","authors":"Liwen Yang, Yangyang Wang, Jian Cai, Ying Xiong, Juan Li, Qi Zhou, Nan Ye, Hua Lai, Tianjiao Liu, Liuying Zhou","doi":"10.3389/fonc.2025.1572438","DOIUrl":"https://doi.org/10.3389/fonc.2025.1572438","url":null,"abstract":"<p><strong>Background: </strong>Gastric-type endocervical adenocarcinoma (G-EAC) is a rare and aggressive subtype of cervical cancer which is not associated with human papillomavirus (HPV) infection but has poor prognosis because of its high invasiveness and resistance to chemoradiotherapy. The early and accurate diagnosis of G-EAC is challenging owing to its nonspecific symptoms and relatively normal cytological and histological manifestations.</p><p><strong>Methods: </strong>The present study retrospectively analyzed the demographic and clinical characteristics, and cervical medical imaging features of 10 patients diagnosed with G-EAC at our institution during a five-year period. Postoperative cervical pathological features were examined, and followed-up information was collected. Novel ultrasonographic features of G-EAC were also summarized.</p><p><strong>Results: </strong>The patients aged 24-70 years (mean: 49.6 ± 11.6). Their clinical presentations included vaginal discharge (60%), irregular vaginal bleeding (40%), and contact bleeding (30%). Nine patients were HPV negative. Ultrasound examination revealed that there were two, three, two, and two cases of types I (multicystic), II (cystic-solid), III (solid), and IV (nearly normal cervix) G-EAC, respectively. There were four CA199 + and two CA125 + cases. Pathology examination confirmed two cases of synchronous mucinous metaplasia and neoplasia of the female genital tract and one case of Peutz-Jeghers syndrome and multiple gastrointestinal polyps. Ultrasonography for cystic lesions revealed a \"cosmos sign\". Two patients with types I and II G-EAC exhibited vesicular echoes involving the lower uterine segment. In four cases, vesicular echoes were observed within the myometrium. This case series highlights the heterogeneous manifestations, complex imaging patterns, and multifaceted pathology of G-EACs.</p><p><strong>Conclusions: </strong>Ultrasonography can facilitate the early diagnosis of G-EAC for relatively specific features, such as \"cosmos signs\" and \"vesicular implantation signs.\" The latter refers to ultrasound manifestations of multicystic or cystic-solid lesions of the cervix accompanied by vesicular lesion in the lower uterine segment and/or vesicular implantation in the myometrium.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1572438"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aurintricarboxylic acid inhibits the malignant phenotypes of drug-resistant cells via translation regulation.","authors":"Keke Shang, Yang Chen, Jingjie Jin, Tong Wang, Gong Zhang","doi":"10.3389/fonc.2025.1576685","DOIUrl":"https://doi.org/10.3389/fonc.2025.1576685","url":null,"abstract":"<p><p>Genome instability, a hallmark of cancer, leads to endless mutations that eventually cause drug resistance against almost all chemotherapy drugs. This poses a significant obstacle to the success of cancer treatments. Here, we report that aurintricarboxylic acid (ATCA) effectively suppresses the malignant phenotypes, including proliferation, migration, invasion, and clone formation, of cancer cells of multiple cancers, including cisplatin-resistant lung cancer cells, paclitaxel-resistant lung cancer cells, and doxorubicin-resistant breast cancer cells. Interestingly, ATCA does not cause acute cytotoxicity. Proteome analysis of the whole proteome and nascent chains showed that ATCA reduced translation initiation and thus reduced the abundance of the highly abundant respiratory chain complex. This lowered the potential of the mitochondrial membrane and thus restricted the energy production. This principle could be hardly circumvented by cancer cells and thus may serve as a promising and universal candidate for a second-line therapeutic agent to control cancer progression after drug resistance.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1576685"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The value of spectral CT quantitative parameters in predicting Ki-67 level in ovarian cancer.","authors":"Siwen Pang, Meng Wu, Haijia Yu, Tiantian Ma, Jianhua Liu, Siwen Liu","doi":"10.3389/fonc.2025.1576690","DOIUrl":"https://doi.org/10.3389/fonc.2025.1576690","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study is to evaluate the predictive value of quantitative parameters from spectral CT for Ki-67 expression in ovarian cancer (OC).</p><p><strong>Methods: </strong>Spectral CT imaging data from 39 patients with ovarian cancer by pathology, encompassing 52 lesions overall, were collected retrospectively and split into two groups based on immunohistochemical results. Tumor solid components in arterial, venous, and delayed phases can be measured using post-processing software to obtain the quantitative parameters of spectral CT. An independent sample t-test was implemented for evaluating spectral CT parameters between two groups, and a Spearman correlation coefficient was applied among all participants to estimate the relationship between spectral parameters and Ki-67 levels. Moreover, an examination of the receiver operating characteristic (ROC) curve was conducted to assess the diagnostic efficacy of the significantly different parameters between the two groups.</p><p><strong>Results: </strong>The Ki-67 high-level group includes 22 patients and 29 lesions, while the Ki-67 low-level group contains 17 patients and 23 lesions. The A-sIC, A-sZeff, V-IC, D-Zeff, and D-sZeff values in the Ki-67 high-level group were greater than those in the Ki-67 low-level group (<i>P</i> =0.028, AUC = 0.705; <i>P</i> < 0.001, AUC = 0.742; <i>P</i> = 0.047, AUC = 0.657; <i>P</i> = 0.014, AUC = 0.665; and <i>P</i> = 0.006, AUC = 0.675, respectively). For correlation analysis, A-IC, A-sIC, A-Zeff, A-sZeff, A-λHU, D-IC, D-Zeff, and D-sZeff were positively correlated with Ki-67 levels, with correlation coefficients ranging from 0.277 to 0.417, <i>P</i><0.05. Through multiple logistic regression, the combined model that included 5 quantitative parameters showed the highest diagnostic performance, with a sensitivity of 93.10%, a specificity of 60.90%, and an AUC value of 0.808.</p><p><strong>Conclusion: </strong>Spectral CT provides multi-parametric imaging data and is useful in predicting Ki-67 expression in ovarian cancer, delivering comprehensive and reliable imaging evidence for the formulation of therapeutic treatment options.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1576690"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features.","authors":"Jing Zhang, Qiyuan Li, Haoyu Liang, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao","doi":"10.3389/fonc.2025.1543873","DOIUrl":"https://doi.org/10.3389/fonc.2025.1543873","url":null,"abstract":"<p><strong>Purpose: </strong>To develop and validate computed tomography (CT)-based intratumoral and peritumoral radiomics signatures for preoperative prediction of lymph node metastasis (LNM) in patients with ovarian cancer (OC).</p><p><strong>Methods: </strong>Patients with pathological diagnosis of OC were retrospectively included. Intratumoral and peritumoral radiomics features were extracted from contrast-enhanced CT images. Intratumoral and peritumoral radiomics features were extracted from contrast-enhanced CT images. Intratumoral, peritumoral, and combined radiomics signatures were constructed, and their radiomics scores were calculated. Univariate and multivariate logistic regression analyses were performed to identify predictors of clinical outcomes. A radiomics nomogram was developed by incorporating the combined radiomics signature with clinical risk factors. The prediction efficiency of the various models was evaluated using the accuracy value, the area under the receiver-operating characteristic curve (AUC) and decision curve analysis (DCA).</p><p><strong>Results: </strong>Two hundred and seventy-three patients with OC were enrolled and randomly divided into a training cohort (n=190) and a test cohort (n=83) in a 7:3 ratio. The intratumoral, peritumoral, and combined radiomics signatures were constructed using 18, 11, and 17 radiomics features, respectively. The combined radiomics signature showed the best prediction ability, with accuracy of 0.783 and an AUC of 0.860 (95% confidence interval 0.779-0.941). The DCA results showed that the combined radiomics signature had better clinical application than the clinical model and the radiomics nomogram.</p><p><strong>Conclusions: </strong>A CT-based combined radiomics signature incorporating intratumoral and peritumoral radiomics features can predict LNM in patients with OC before surgery.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1543873"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hematological cancer patients' social support, coping strategies, anxiety, depression and posttraumatic growth: a structural equation model.","authors":"Taoyun Liang, Ling Mao, Xinwen Du, Fengjiao Chen","doi":"10.3389/fonc.2025.1540973","DOIUrl":"https://doi.org/10.3389/fonc.2025.1540973","url":null,"abstract":"<p><strong>Objective: </strong>Posttraumatic growth (PTG), defined as positive psychological changes following traumatic events, has been observed in some hematological cancer patients during their disease course. These changes, encompassing shifts in life perspective, interpersonal relationships, and self-perception, are critical for psychological recovery. However, the interplay of social support, coping strategies, anxiety, and depression in shaping PTG remains unclear. Therefore, the aim of this study was to explore these associations in hematological cancer patients using a hypothetical model.</p><p><strong>Methods: </strong>From August 2019 to May 2021, a cross-sectional survey was conducted with 474 hospitalized patients with hematological cancer at West China Hospital, Sichuan University, China (a tertiary hospital). The Social Support Rating Scale, Medical Coping Modes Questionnaire, Hospital Anxiety and Depression Scale, and Posttraumatic Growth Inventory were used for data collection. Correlation and regression analyses were performed using SPSS 26.0, a structural equation model was constructed using AMOS 24.0 software, and the confidence interval of the mediating effect was calculated using the bias-corrected bootstrap method.</p><p><strong>Results: </strong>Social support was positively associated with PTG in hematological cancer patients (<i>β</i> = 0.564, <i>P</i> = 0.004). Avoidance (<i>β</i> = 0.199, <i>P</i> = 0.034) and acceptance-resignation (<i>β</i> = -0.315, <i>P</i> = 0.002) coping strategies mediated this association, with depression (<i>β</i> = -0.123, <i>P</i> = 0.009) further mediating the effects of coping strategies on PTG.</p><p><strong>Conclusion: </strong>These findings provide a basis for further research on PTG in cancer patients, particularly with respect to coping strategies in various dimensions. Enhancing social support and addressing maladaptive coping may promote PTG. Tailored interventions targeting depression management and culturally sensitive support systems are recommended to enhance PTG.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1540973"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics.","authors":"Mulan Pan, Lu Lu, Xingyu Mu, Guanqiao Jin","doi":"10.3389/fonc.2025.1539574","DOIUrl":"https://doi.org/10.3389/fonc.2025.1539574","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to predict the early efficacy of induction chemotherapy (ICT) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) through habitat subregion analysis and multimodal MRI radiomics techniques.</p><p><strong>Methods: </strong>The study employed a retrospective design and included LA-NPC patients who received ICT treatment between 2015 and 2019. The K-means clustering algorithm was utilized to segment the tumor into five distinct habitat subregions based on imaging features. A total of 2,153 radiomic features, including geometric shape, intensity, and texture features, were extracted. Feature selection was conducted using the maximum relevance minimum redundancy (mRMR) method and the least absolute shrinkage and selection operator (LASSO) technique. Eleven machine learning algorithms were employed to develop radiomics models based on the CE-T1WI and T2-FS sequences, respectively. These models were evaluated using various predictive performance metrics, including area under the curve (AUC), sensitivity, and specificity. Model selection was based on comprehensive cross-validation performance and AUC values.</p><p><strong>Results: </strong>The study population comprised 76.63% males and 23.37% females, with a mean age of 42.60 ± 10.21 years. All patients had stage III to IVa nasopharyngeal carcinoma, and the majority (92.39%) had non-keratinizing squamous cell carcinoma. Habitat subregion analysis revealed that the volume features of a specific subregion (Subregion 2) were significantly associated with patient response to ICT (<i>P</i> = 0.032). The RF model built using radiomic features from Subregion 2 demonstrated the best performance on the CE-T1WI sequence, with an AUC of 0.921 in the training set and 0.819 in the testing set. On the T2-FS sequence, the Random Forest (RF) model also exhibited high diagnostic performance, with an AUC of 0.933 in the training set and 0.829 in the testing set. These results suggest that the RF model provides stable and reliable predictive performance across different MRI sequences.</p><p><strong>Conclusion: </strong>Habitat subregion analysis using multimodal MRI radiomics offers an effective approach for the early identification of LA-NPC patients with poor responses to induction chemotherapy. This method holds promise for supporting clinical treatment decisions and achieving personalized medicine.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1539574"},"PeriodicalIF":3.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}