Journal of Cancer最新文献

{"title":"CT Urography-Based Radiomics to Predict ISUP Grading of Clear Cell Renal Cell Carcinoma.","authors":"Panpan Jiao, Bin Wang, Xinmiao Ni, Yi Lu, Rui Yang, Yunxun Liu, Jingsong Wang, Haonan Mei, Xiuheng Liu, Xiaodong Weng, Qingyuan Zheng, Zhiyuan Chen","doi":"10.7150/jca.105173","DOIUrl":"10.7150/jca.105173","url":null,"abstract":"<p><p><b>Purpose:</b> Exploring the value of predicting the WHO/ISUP grade of clear cell renal cell carcinoma (ccRCC) using computed tomography urography (CTU) images, providing valuable recommendations for the treatment of ccRCC. <b>Method:</b> CTU images from the Renmin Hospital of Wuhan University (RHWU) cohort, including 328 patients with ccRCC, were retrospectively collected. The corticomedullary (CMP) phase features of ccRCC were extracted from the CTU images using the Pyradiomics package, and key features were selected through the Least Absolute Shrinkage and Selection Operator (LASSO) regression. The 328 patients were split into training and testing sets in a 7:3 ratio. 175 patients from the The Cancer Genome Atlas (TCGA) cohort were used for the external validation set. Various models, including Logistic Regression (LR), Multilayer Perceptron (MLP), Support Vector Machine (SVM), and eXtreme Gradient Boosting (XGBoost), were employed to predict the ISUP grade. SHAP analysis was then used to visualize the performance of the best model. <b>Results:</b> A total of 1,218 features were extracted using the Pyradiomics package, with 20 features selected for model training through LASSO analysis. In the training set, the AUC for the LR model was 0.88 (95% confidence interval [CI] 0.84-0.91), for MLP it was 0.89 (95% CI 0.86-0.93), for SVM it was 0.86 (95% CI 0.83-0.90), and for XGBoost it was 0.96 (95% CI 0.92-0.99). In the testing set, the AUC for LR was 0.79 (95% CI 0.73-0.85), for MLP it was 0.78 (95% CI 0.72-0.83), for SVM it was 0.78 (95% CI 0.73-0.82), and for XGBoost it was 0.80 (95% CI 0.75-0.85). In the validation set, the AUC for LR was 0.74 (95% CI 0.68-0.79), for MLP it was 0.68 (95% CI 0.63-0.73), for SVM it was 0.67 (95% CI 0.64-0.71), and for XGBoost it was 0.78 (95% CI 0.74-0.83). XGBoost demonstrated superior performance, with a sensitivity of 0.99 (95% CI 0.96-1.00) in the training set, 0.92 (95% CI 0.88-0.97) in the testing set and 0.91 (95% CI 0.86,0.95) in validation set. SHAP analysis revealed that the wavelet-LHL_glcm_Idn and wavelet-LHL_glrlm_LongRunEmphasis features played pivotal roles in the classification task. <b>Conclusion:</b> In this study, we employ an artificial intelligence model to conduct non-invasive ISUP grade prediction on preoperative CTU images of ccRCC, thereby aiding clinical decision-making. Additionally, we uncover that the radiomics features extracted from the CMP phase of CTU images hold promise as potential biomarkers for grading ccRCC.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 4","pages":"1118-1126"},"PeriodicalIF":3.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786028/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080104","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 regulatory role and therapeutic potential of long non-coding RNA in non-small cell lung cancer.","authors":"Sunming Xia, Xuean Lu, Weier Wang, Xinyi Pan, Jiaqi Cui, Shengjie Wang, Zhao Wang","doi":"10.7150/jca.103182","DOIUrl":"10.7150/jca.103182","url":null,"abstract":"<p><p>Lung cancer remains the leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) being the predominant subtype. Recent advances in transcriptome sequencing have highlighted the critical role of long non-coding RNAs (lncRNAs) in NSCLC, with lncRNAs influencing gene expression through epigenetic, transcriptional, and post-transcriptional mechanisms. Despite the growing understanding of lncRNAs, challenges such as delayed diagnosis and drug resistance continue to complicate NSCLC management. This review explores novel findings in the role of lncRNAs (e.g., MALAT1, HOTAIR, and GAS5) in NSCLC, with a particular focus on their encoded small peptides and N6-methyladenosine (m6A) modifications. We further discuss how the interplay between lncRNAs, their encoded peptides, and m6A modifications can provide new strategies for improving NSCLC diagnosis, treatment, and overcoming drug resistance. This review also highlights emerging research avenues that could lead to innovative clinical interventions in NSCLC.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 4","pages":"1137-1148"},"PeriodicalIF":3.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080232","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":"<i>SIGLEC1</i> as a novel prognostic factor is regulated by Yiqi Huayu Jiedu Decoction in colorectal cancer.","authors":"Yejin Zhu, Xinping Wang, Qianyi Wang, Shanfan Shi, Jun He, Chao Jiang","doi":"10.7150/jca.99278","DOIUrl":"10.7150/jca.99278","url":null,"abstract":"<p><p>We studied the prognostic value of <i>SIGLEC1</i> in colorectal cancer (CRC) using bioinformatics. <i>SIGLEC1</i> exhibited differential expression between the tumor and control samples, and improved survival was observed in patients with increased <i>SIGLEC1</i> expression. The univariate and multivariate analyses confirmed <i>SIGLEC1</i> as an independent prognostic factor for CRC, based on which a nomogram was constructed for predicting survival in patients with CRC. Additionally, higher <i>SIGLEC1</i> expression was correlated with increased immunological/stromal/ESTIMATE scores as well as immune cell infiltration and was strongly and positively associated with T helper cells and macrophages. Furthermore, significant positive correlations were observed between SIGLEC1 expression and inhibitory/coinhibitory immunological genes. Additionally, the TIDE results of patients with CRC showed that increased <i>SIGLEC1</i> expression was related to poorer immunotherapeutic responses. In clinical samples from patients with CRC, a decrease in <i>SIGLEC1</i> expression was noted compared to para-cancerous tissues and samples from patients who received Yiqi Huayu Jiedu Decoction (YHJD) treatment. The <i>in vivo</i> results indicated the superior efficacy of YHJD against CRC in inhibiting tumor metastasis. Our study demonstrates that SIGLEC1 serves as a prognostic factor for CRC, strongly linked to immune response, and can be modulated by YHJD, suggesting novel avenues for CRC treatment.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 1","pages":"351-367"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914792","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":"Single-fraction high-dose-rate brachytherapy as monotherapy for localized prostate cancer: long-term follow-up study based on meta-analysis.","authors":"Li Xiao, Li-Li Yu, Li-Yuan Zhang, Wei Guo, Li-Xin Liu, Yun-Chuan Sun, Xuan Kan, Kai Zhang","doi":"10.7150/jca.104279","DOIUrl":"10.7150/jca.104279","url":null,"abstract":"<p><p><b>Objective:</b> Although single-fraction high-dose-rate brachytherapy (SFHDR-BT) for localized prostate cancer has been attempted in clinical trials, there is currently a lack of relevant medical evidence. It is essential to conduct a systematic analysis of the long-term safety and efficacy of SFHDR-BT. <b>Materials and methods:</b> Comprehensive and systematic searches for eligible studies were performed in PubMed, Embase, and the Cochrane Library databases. The primary endpoints included safety and efficacy, represented by toxic effects, biochemical recurrence-free survival (bRFS) and overall survival (OS), respectively. The proportion rates were used as the effect measure for each study and were presented with corresponding 95% confidence intervals (CI). <b>Results:</b> Eight studies met the inclusion criteria for quantitative analysis, including 552 patients. The median follow-up was 71.3 months (60-72.8 months). The estimates of cumulative occurrence for severe gastrointestinal (GI) and genitourinary (GU) toxic effects were 0 and 3% (95% CI 1-5%), respectively. The pooled cumulative incidence of grade ≥ 3 sexual dysfunction occurrence was 4% (95% CI 1-7%). The estimate of long term bRFS was 72% (95% CI 68-76%) and 90% (95% CI 85-95%) for long term OS. <b>Conclusion:</b> In general, SFHDR-BT is well tolerated and associated with suboptimal clinical benefit in patients with localized prostate cancer. High-quality prospective studies of SFHDR-BT are necessary to verify its safety and efficacy.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 2","pages":"533-542"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914861","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":"Impact of ALDH1A1 Expression in Intrahepatic Cholangiocellular Carcinoma.","authors":"Konrad Kurowski, Melanie Föll, Tilman Werner, Oliver Schilling, Martin Werner, Stefan Fichtner-Feigl, Bertram Bengsch, Peter Bronsert, Philipp Anton Holzner, Sylvia Timme","doi":"10.7150/jca.99944","DOIUrl":"10.7150/jca.99944","url":null,"abstract":"<p><p><b>Background:</b> Intrahepatic cholangiocarcinoma (iCC) is a rare malignant liver tumor with limited therapeutic advancements. Despite its increasing global incidence knowledge of treatment options remains stagnant, leading to poor five-year patient survival rates and high recurrence post-surgery. ALDH1A1, a member of the ALDH superfamily, is associated with cancer stem cells and has conflicting reports regarding its prognostic role in iCC. This retrospective study analyzed 69 iCC patient samples from University Hospital Freiburg. Tissue microarrays (TMAs) were constructed, and ALDH1A1 expression was immunohistochemically assessed using machine learning algorithms. Script-based Survival analysis employed Kaplan-Meier curves, log-rank tests, and Cox Proportional Hazards Models. ALDH1A1 overexpression, both in tumor and stromal cells, correlates with favorable overall survival in iCC. Gender-specific analyses indicate a more pronounced effect in females. These findings suggest ALDH1A1 as a potential prognostic biomarker in iCC, warranting further validation in larger cohorts and exploration as a therapeutic target.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 1","pages":"1-11"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914874","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":"Knockdown of HOXD13 in Oral Squamous Cell Carcinoma Inhibited its Proliferation, Migration, and Influenced Fatty Acid Metabolism.","authors":"Xingyue Ma, Xiao Zhang, Haiyang Li, Shuang Mei, Bowen Wang, Shuai Guan, Yitong Wang, Yuantao Li, Siyi Li, Xiangjun Li","doi":"10.7150/jca.102100","DOIUrl":"10.7150/jca.102100","url":null,"abstract":"<p><p><b>Background:</b> HOXD13, a member of the homeobox gene family, plays a critical role in developmental processes and has been implicated in various malignancies, including pancreatic cancer and glioma. However, its role in oral squamous cell carcinoma (OSCC) remains poorly understood. This study aimed to elucidate the potential of HOXD13 as a diagnostic biomarker and therapeutic target for OSCC. <b>Methods:</b> We conducted a comprehensive analysis of OSCC samples from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA)-head and neck squamous cell carcinoma (HNSCC) databases. Differentially expressed genes (DEGs) with upregulated expression were identified using Venn diagrams. Functional annotation was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. A protein-protein interaction (PPI) network was constructed, and 10 key hub genes were identified using the cytoNCA method in Cytoscape. Subsequently, these hub genes were validated using quantitative real-time PCR (qRT-PCR) in tissue samples and cell lines. The impact of HOXD13 knockdown on OSCC cell proliferation and migration was assessed through lentiviral transduction followed by Cell Counting Kit-8 (CCk-8), 5-Ethynyl-2'-deoxyuridine (EdU), wound healing, and Transwell assays. Additionally, proteomic sequencing was performed to explore the effects on lipid metabolism-related pathways. <b>Result:</b> Bioinformatic analysis revealed 121 upregulated DEGs in OSCC. Among these, 10 hub genes (FOXM1, CSF2, FN1, HOXD13, MMP9, SPP1, BIRC5, CXCL11, CXCL9, and FOXA2) were identified using the PPI network and Cytoscape analysis. HOXD13 was notably upregulated in OSCC tissues and cell lines, showing high diagnostic potential with an area under the receiver operating characteristics (ROC) curve (AUC) of 0.9. Immune infiltration analysis indicated significant differences in the tumor microenvironment associated with HOXD13 expression levels. Stable knockdown of HOXD13 in OSCC cell lines resulted in a marked reduction in cell proliferation and migration. Proteomic analysis post-HOXD13 knockdown highlighted alterations in fatty acid degradation pathways and increased expression of related metabolic enzymes. <b>Conclusion:</b> HOXD13 is significantly upregulated in OSCC, and its inhibition reduces OSCC cell proliferation and migration. Additionally, HOXD13 affects fatty acid metabolism in OSCC, suggesting its potential as a therapeutic target and biomarker.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 1","pages":"214-226"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660140/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914883","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":"Expressional and prognostic value of TREM1 in ovarian cancer: A comprehensive study based on bioinformatics and clinical analysis validation.","authors":"Caihong Tang, Dong Ye, Qiong He, Qionghua He, Wenkai Zhou, Liya Lin, Chao Jiang, Da Huang, Jianwei Zhou","doi":"10.7150/jca.101152","DOIUrl":"10.7150/jca.101152","url":null,"abstract":"<p><p><b>Background:</b> Triggering receptor expressed in myeloid cells-1 (TREM1) is an important regulator of innate and adaptive immunity, which can directly amplify an inflammatory response. Current studies have found the immunomodulatory role of TREM1 in tumor microenvironment. However, the role of TREM1 in ovarian cancer (OV) remains unclear. <b>Methods:</b> Based on TCGA and GEO database, we performed bioinformatics analysis to evaluate the expression profile of TREM1. Then, the prognostic value of TREM1 was determined through Kaplan-Meier survival analyses. GO and KEGG enrichment along with GSEA analyses were performed to identify potential biological functions of TREM1 based on the gene co-expression network. IHC and RT-qPCR on clinical samples were performed to validate our database-derived results. Additionally, ESTIMATE and CIBERSORT analyses were used to assess the correlation between TREM1 and tumor microenvironment. Finally, the expression, prognosis and immune regulation patterns of TREM1 in pan-cancer were further explored to validate the role of TREM1 as a biomarker. <b>Results:</b> The expression of TREM1 is abnormally high in OV than in normal tissues. Patients with high TREM1 expression were linked with poor overall survival (OS) and disease-free survival (DFS). Then, cox regression analysis and a nomogram indicated that TREM1 was an independent prognostic factor and proved the effective predictive performance in OV. Enrichment analysis showed that TREM1 was highly enriched in cancer-and immune-related pathways. Additionally, immune analysis revealed that TREM1 was robustly positively associated with tumor-associated macrophages (TAMs) and regulatory T cells (Tregs) infiltrating. Moreover, pan-cancer analysis showed TREM1 was closely associated with prognosis and immune-related genes expression in various types of cancer. <b>Conclusions:</b> Through a systematic and comprehensive analysis, our study revealed that TREM1 could serve as a prognostic and immunological biomarker in ovarian cancer.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 2","pages":"577-589"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914898","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":"Cell-type-specific regulators landscape and regulatory mechanisms underlying pyroptosis in uterine corpus endometrial carcinoma.","authors":"Hongrui Guo, Wufeng Qin, Jinpeng Li, Fucheng Wang, Jiaolin Yang, Yaling Wang, Xinglin Zhang, Yuanyuan Ding, Kaiwen Ting, Xia Li, Jingru Ji, Yanyan Han, Ailing Hui, Huancheng Su, Sanyuan Zhang, Zhe Wang","doi":"10.7150/jca.100547","DOIUrl":"10.7150/jca.100547","url":null,"abstract":"<p><p><b>Background</b>: Endometrial cancer (UCEC) has a significant detrimental effect on patient quality of life. Although pyroptosis-related genes have been reported to contribute to tumor pathogenesis, the specific mechanism of pyroptosis in patients with UCEC remains elusive. <b>Methods:</b> We provide an overview of the landscape of pyroptosis-related genes in UCEC tissues through single-cell RNA sequencing (scRNA-Seq) datasets from the tissues of UCEC of 6089 cells. In addition, pyroptosis-related gene expression pattern was verified based on the RNA-Seq datasets, and observation of abnormal pathological characteristics of UCEC tissue. <b>Results:</b> The pyroptosis-related gene <i>IL-6</i> is specifically upregulated in epithelial cells and dysregulates cell population proliferation and enhances apoptosis. The upregulation of <i>BAX</i> and <i>TNF</i> expression in macrophages induces infiltration of aberrantly activated macrophages, which display dysfunctional differentiation in tumor tissues, altered immune responses, and activation of the tumor necrosis factor (TNF) pathway in UCEC macrophages. In addition, dysregulation of pyroptosis-related genes induces aberrant cell-cell communication in tumor tissues and mediates ligand-receptor interactions between various cell types in UCEC via the <i>TNF</i> signaling pathway to promote cancer progression. Quantitative real-time (PCR) and immunohistochemistry were used for the <i>in vitro</i> experimental validation. <b>Conclusion:</b> Pyroptosis-related genes can serve as biomarkers for UCEC, playing a role in early disease diagnosis, helping to predict patient prognosis, and guiding the selection of personalized treatment options.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 2","pages":"660-679"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914946","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":"Evaluation of Band Selection for Spectrum-Aided Visual Enhancer (SAVE) for Esophageal Cancer Detection.","authors":"Yen-Chun Chen, Riya Karmakar, Arvind Mukundan, Chien-Wei Huang, Wei-Chun Weng, Hsiang-Chen Wang","doi":"10.7150/jca.102759","DOIUrl":"10.7150/jca.102759","url":null,"abstract":"<p><p>Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands of importance in some sense by taking advantage of high spectral correlation. In medical imaging, narrow-band imaging (NBI) is an imaging technique for endoscopic diagnostic medical tests, where light of specific blue and green wavelengths is used to enhance the detail of certain aspects of the surface of the mucosa. A special filter is electronically activated by a switch in the endoscope leading to the use of ambient light of wavelengths of 415 nm (blue) and 540 nm (green). Because the peak light absorption of hemoglobin occurs at these wavelengths, blood vessels will appear very dark, allowing for their improved visibility and in the improved identification of other surface structures. NBI when compared with the white-light imaging (WLI) have proven to have better precision when combined with computer-aided diagnosis (CAD, Intespec C, Hitspectra Intelligent Technology Co., Kaohsiung, Taiwan) in detecting cancerous images. NBI endoscopes are specialized equipment that may not be widely available in all healthcare settings. By leveraging existing WLI endoscopic systems and developing algorithms to simulate NBI imaging, healthcare facilities can achieve similar di-agnostic capabilities without the need for additional costly equipment. Therefore, in this study, algorithm known as the SAVE (spectrum-aided visual enhancer) has been developed which can simulate NBI from the WLI images through an intelligent band-selective hyperspectral imaging for Olympus endoscope. The results suggested that the SAVE-NBI images had a better precision and F1-score than the WLI images.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 2","pages":"470-478"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914952","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":"Longikaurin A, a natural ent-kaurane, suppresses proliferation, invasion and tumorigenicity in oral squamous cell carcinoma cell by via inhibiting PI3K/Akt pathway <i>in vitro</i> and <i>in vivo</i>.","authors":"Yiming Luo, Zixuan Wang, Yufei Li, Linlin Zhang","doi":"10.7150/jca.102125","DOIUrl":"https://doi.org/10.7150/jca.102125","url":null,"abstract":"<p><p><b>Background:</b> Longikaurin A (LK-A), a naturally occurring ent-kaurane diterpenoid, has been identified as a promising anti-cancer agent. This study aims to elucidate the anti-tumorigenic effects of LK-A on oral squamous cell carcinoma (OSCC) cells and to unravel its underlying mechanisms. <b>Methods:</b> <i>In vitro</i> assays, including CCK-8 and EdU, were performed to assess cell viability and proliferation. Transwell migration and invasion assays evaluated cell mobility and invasive potential. Apoptotic effects were analyzed using Annexin V-FITC/PI staining and TUNEL assays. Western blot analysis was conducted to examine protein expression related to cell cycle, apoptosis, and the PI3K/Akt signaling pathway. <i>In vivo</i> experiments involved treating mouse xenograft models with LK-A and evaluating tumor growth and signaling pathway inhibition through immunohistochemistry and Western blot assays. <b>Results:</b> LK-A significantly suppressed cell viability and proliferation in a dose-dependent manner, with IC50 values of 4.36 μM and 4.93 μM at 24 h, and 1.98 μM and 2.89 μM at 48 h for CAL27 and TCA-8113 cells, respectively. EdU assays revealed a reduction in the EdU positive rate, and cell cycle analysis showed G2/M phase arrest. Western blot analysis confirmed decreased expression of CyclinB1 and Cdc2. LK-A significantly inhibited OSCC cell mobility and invasive potential, with downregulation of MMP-2 and MMP-9 expression. Apoptotic effects were confirmed by increased apoptosis, upregulation of Bax and cleaved caspase-3, and downregulation of Bcl-2. LK-A suppressed the PI3K/AKT signaling pathway, as evidenced by reduced phosphorylation of PI3K, AKT, and mTOR. The AKT activator SC79 reversed the antiproliferative and pro-apoptotic effects of LK-A. <i>In vivo</i>, LK-A significantly inhibited tumor growth in mouse xenograft models, with reduced tumor weights and volumes, and no significant loss in body weight. Immunohistochemistry and Western blot assays confirmed the inhibition of p-Akt and Ki-67 expression. <b>Conclusion:</b> These findings suggest that LK-A exerts potent antiproliferative, anti-migratory, and pro-apoptotic effects on OSCC cells through the suppression of the PI3K/AKT signaling pathway, demonstrating its potential as a therapeutic agent for OSCC.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 3","pages":"708-719"},"PeriodicalIF":3.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705061/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142949455","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}