Chinese Journal of Cancer Research最新文献

{"title":"Long-term adherence to gastric cancer screening in South Korea: A 10-year follow-up study.","authors":"Dong Jun Kim, Nan-He Yoon, Seongju Kim, Horim A Hwang, Jae Kwan Jun, Mina Suh, Sunhwa Lee, Seo Yoon Lee, Hooyeon Lee","doi":"10.21147/j.issn.1000-9604.2025.04.11","DOIUrl":"10.21147/j.issn.1000-9604.2025.04.11","url":null,"abstract":"<p><strong>Objective: </strong>Regular cancer screening must be monitored to improve gastric cancer (GC) survival rates and maximize participation. This study examined adherence to regular GC screening over a 10-year period and identified the factors influencing adherence.</p><p><strong>Methods: </strong>This retrospective cohort study was conducted using data from the Korean National Cancer Screening Program (KNCSP) between 2011 and 2020. The total cohort comprised 400,113 adults aged 40 years who were newly eligible for and participated in GC screening in 2011. The participants were followed up for 10 years to assess their adherence to biennial screening recommendations. They were categorized into two groups: the non-regular screening (non-RS) group, which included individuals who did not participate in subsequent screenings, and the regular screening (RS) group, which included those who participated in at least one follow-up screening. Multiple logistic regression analyses were performed to identify the factors associated with adherence to regular GC screening.</p><p><strong>Results: </strong>Over 10 years, 59% of the participants completed at least four of the five recommended screenings, while 10% did not participate after their initial screening. Male participants had higher odds of non-adherence than females [adjusted odds ratio (aOR)=1.429, 95% confidence interval (95% CI): 1.394-1.464; P<0.001]. Non-adherence was more prevalent among self-employed individuals (aOR=1.208, P<0.001). Among males, those in the lowest income group were 1.267 times more likely to not undergo regular screening than those in the highest income group.</p><p><strong>Conclusions: </strong>Long-term adherence to regular GC screening in South Korea remains suboptimal. Socioeconomic disparities persist, highlighting the need for tailored interventions to improve adherence and enhance public health.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 4","pages":"592-602"},"PeriodicalIF":6.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444352/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112102","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":"Allogeneic hematopoietic cell transplantation in vulnerable populations: Advances and perspectives.","authors":"Yi Fan, Jia Chen","doi":"10.21147/j.issn.1000-9604.2025.04.06","DOIUrl":"10.21147/j.issn.1000-9604.2025.04.06","url":null,"abstract":"","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 4","pages":"547-550"},"PeriodicalIF":6.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112104","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":"Machine learning-based prediction model for postoperative complications in gastric and colorectal cancer: A prospective nationwide multi-center study.","authors":"Jun Lu, Zhouqiao Wu, Jie Chen, Changqing Jing, Jiang Yu, Zhengrong Li, Jian Zhang, Lu Zang, Hankun Hao, Chaohui Zheng, Yong Li, Lin Fan, Hua Huang, Pin Liang, Bin Wu, Jiaming Zhu, Zhaojian Niu, Linghua Zhu, Wu Song, Jun You, Su Yan, Ziyu Li, Fenglin Liu, On Behalf Of The Pacage Study Group","doi":"10.21147/j.issn.1000-9604.2025.04.13","DOIUrl":"10.21147/j.issn.1000-9604.2025.04.13","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to develop and validate a predictive model for postoperative complications in gastrointestinal cancer patients using a large multicenter database, based on machine learning algorithms.</p><p><strong>Methods: </strong>We analyzed the clinicopathological data of 3,926 gastrointestinal cancer patients from the Prevalence of Abdominal Complications After GastroEnterological surgery (PACAGE) database, covering 20 medical centers from December 2018 to December 2020. The predictive performance was evaluated using receiver operating characteristic (ROC) curves and Brier Score.</p><p><strong>Results: </strong>The patients were divided into gastric (2,271 cases) and colorectal cancer (1,655 cases) groups and further divided into training and external validation sets. The overall postoperative complication rates for gastric and colorectal cancer groups were 18.1% and 14.8%, respectively. The most common complication was the intra-abdominal infection in both gastric and colorectal cancer groups. In the training set, the Random Forest (RF) model predicted the highest mean area under the curve (AUC) values for overall complications and different types of complications, in both the gastric cancer group and the colorectal cancer group, with similar results obtained in the external validation set. ROC curve analysis showed good predictive performance of the RF model for overall and infectious complications. An application-based clinical tool was developed for easy application in clinical practice.</p><p><strong>Conclusions: </strong>This model demonstrated good predictive performance for overall and infectious complications based on the multi-center database, supporting clinical decision-making and personalized treatment strategies.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 4","pages":"624-638"},"PeriodicalIF":6.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444345/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112121","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":"Outcomes of adult patients with B-cell acute lymphoblastic leukemia with or without blinatumomab as bridging therapy prior to allogeneic hematopoietic stem cell transplantation.","authors":"Jiayu Huang, Yi Xia, Yuhang Cheng, Bingyang Shi, Yilei Ma, Ze Tian, Luxiang Wang, Chuanhe Jiang, Haiyang Lu, Weijie Cao, Yang Cao, Xiaodong Mo, Xiaoxia Hu","doi":"10.21147/j.issn.1000-9604.2025.04.08","DOIUrl":"10.21147/j.issn.1000-9604.2025.04.08","url":null,"abstract":"","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 4","pages":"554-557"},"PeriodicalIF":6.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112107","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":"Development and validation of machine learning-based survival analysis to predict outcome in gastric cancer with adjuvant chemotherapy: A multicenter, longitudinal, cohort study.","authors":"Yan Pan, Linbin Lu, Xianchun Gao, Jun Yu, Sitian Dai, Ruirong Yao, Ning Han, Xinlin Wang, Abudurousuli Reyila, Shibo Wang, Junya Yan, Zhen Xu, Yuanyuan Lu, Mengbin Li, Jipeng Li, Jiayun Liu, Qingchuan Zhao, Kaichun Wu, Yongzhan Nie","doi":"10.21147/j.issn.1000-9604.2025.03.07","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.07","url":null,"abstract":"<p><strong>Objective: </strong>The previously integrated tumor-inflammation-nutrition (HI-GC) score has demonstrated dynamic monitoring value for recurrence and clinical decision-making in patients with postsurgical gastric cancer (GC). However, its failure to incorporate clinical-pathological factors limits its capacity for baseline risk assessment. This study aimed to develop a model that accurately identifies patients for adjuvant chemotherapy and dynamically evaluates recurrence risk.</p><p><strong>Methods: </strong>This retrospective, multicenter, longitudinal cohort study, spanning nine hospitals, included 7,085 patients with GC post-radical gastrectomy. A baseline prognostic model was constructed using 117 machine-learning algorithms. The dynamic survival decision tree model (dySDT) was employed to combine the baseline model with the HI-GC score.</p><p><strong>Results: </strong>A Cox regression model incorporating six factors was used to create a nomogram [Harrell's C-index: training cohort: 0.765; 95% confidence interval (95% CI): 0.747, 0.783; validation set: 0.810; 95% CI: 0.747, 0.783], including pT stage, positive lymph node ratio, pN stage, tumor size, age, and adjuvant chemotherapy. The best-performing machine learning model exhibited similar predictive accuracy to the nomogram (C-index: 0.770). For the short-term dySDT at 1 month, the mortality hazard ratios (HRs) for groups IIa, IIb, and III were 2.61 (95% CI: 2.24, 3.04), 5.02 (95% CI: 4.15, 6.06), and 8.88 (95% CI: 7.57, 10.42), respectively, compared to group I. Stratified analysis revealed a significant interaction between adjuvant chemotherapy and overall survival in each subgroup (P<0.001). The long-term dySDT at 1 year showed HRs of 3.25 (95% CI: 2.12, 4.97) for group II, 6.73 (95% CI: 4.29, 10.56) for group IIIa, and 17.88 (95% CI: 10.71, 29.84) for group IIIb.</p><p><strong>Conclusions: </strong>The dySDT effectively stratifies mortality risk and provides valuable assistance in clinical decision-making after gastrectomy.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"377-389"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607661","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":"Comparison of efficacy and safety of a proposed biosimilar QL1206 with reference denosumab in patients with bone metastasis from breast cancer: A subgroup analysis of a randomized, double-blinded phase III study.","authors":"Yaxin Liu, Ruyan Zhang, Xiaojia Wang, Lijun Di, Zhendong Chen, Jingfen Wang, Tao Sun, Qingshan Li, Jing Cheng, Qingyuan Zhang, Xiuwen Wang, Junye Wang, Kangsheng Gu, Shihong Wei, Shuqun Zhang, Xiangcai Wang, Ping Sun, Chunfang Hao, Aimin Zang, Yujie Li, Cuicui Han, Xiaoyan Kang, Yanling Li, Huiping Li","doi":"10.21147/j.issn.1000-9604.2025.03.04","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.04","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the efficacy and safety of QL1206 (a denosumab biosimilar to Xgeva®) in breast cancer patients with bone metastasis (BM) through subgroup analysis of a randomized, double-blind phase III trial (No. NCT04550949).</p><p><strong>Methods: </strong>This subgroup analysis included patients with BM from breast cancer enrolled in a phase III trial. Patients were randomized (1:1) to receive either three cycles of QL1206 or denosumab (120 mg subcutaneously every 4 weeks). Subsequently, they received 10 cycles of QL1206 (120 mg) over 40 weeks, followed by a 20-week safety follow-up. The primary endpoint was the percentage changes from baseline to week 13 in urinary N-telopeptide corrected for creatinine (uNTx/Cr).</p><p><strong>Results: </strong>The breast cancer cohort consisted of 311 patients. Vertebral involvement (66.4%) was the most prevalent BM site at enrollment, while 27.7% of patients presented with ≥3 metastatic bone lesions. At week 13, QL1206 demonstrated a median uNTx/Cr reduction of -69.9% (range: -98.1%-568.0%) <i>vs</i>. -74.3% (range: -97.7%-386.3%) for denosumab. The analysis of covariance revealed comparable least-square means for log-transformed changes: -1.416 [95% confidence interval (95% CI): -1.736 to -1.096] <i>vs.</i> -1.501 (95% CI: -1.824 to -1.178), yielding an between-group difference of 0.085 (90% CI: -0.062-0.232; P=0.343). After a 53-week treatment period, 83.6% achieved bone density improvement/disease stabilization. Safety profiles were comparable between groups.</p><p><strong>Conclusions: </strong>QL1206 demonstrated similar efficacy and safety to the reference denosumab in patients with BM from breast cancer, supporting QL1206 as a new option for management of BM from breast cancer.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"337-351"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12242471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607659","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":"Long-term outcomes of laparoscopic distal gastrectomy for locally advanced gastric cancer: An individual patient data meta-analysis of KLASS-02 and CLASS-01 randomized controlled trials.","authors":"Yanfeng Hu, Woo Jin Hyung, Huilin Huang, Changming Huang, Han-Kwang Yang, Yihong Sun, Young-Kyu Park, Xiangqian Su, Hyuk-Joon Lee, Hui Cao, Ji Yeong An, Jiankun Hu, Wook Kim, Kuan Wang, Hyoung-Il Kim, Jian Suo, Hyung-Ho Kim, Kaixiong Tao, Seung Wan Ryu, Xianli He, Hoon Hur, Hongbo Wei, Min-Chan Kim, Seong-Ho Kong, Mingang Ying, Gyu Seok Cho, Weiguo Hu, Jin-Jo Kim, Xiaohui Du, Do Joong Park, Jiang Yu, Keun Won Ryu, Hao Liu, Young Woo Kim, Ziyu Li, Jong Won Kim, Jiafu Ji, Joo-Ho Lee, Guoxin Li, Sang-Uk Han","doi":"10.21147/j.issn.1000-9604.2025.03.06","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.06","url":null,"abstract":"<p><strong>Objective: </strong>Laparoscopic distal gastrectomy (LDG) has potential as a surgical treatment option for locally advanced gastric cancer (LAGC). However, there is uncertainty regarding the generalizability of LDG efficacy across diverse patient populations and treatment settings. This study aimed to assess the outcomes of LDG <i>vs</i>. open distal gastrectomy (ODG) in patients with LAGC despite differences in clinical trial populations and treatment environments.</p><p><strong>Methods: </strong>The KLASS-02 and CLASS-01 trials are multicenter, non-inferiority, open-label, randomized controlled trials for patients with LAGC eligible for distal subtotal gastrectomy in Korea and China, respectively. Some 1,050 patients were enrolled in KLASS-02, and 1,056 patients were enrolled in CLASS-01. Individual patient data (IPD) from KLASS-02 and CLASS-01 were pooled and analyzed.</p><p><strong>Results: </strong>There were 900 patients in the LDG group and 920 in the ODG group. Baseline characteristics were well balanced between groups. The LDG group had better short-term and recovery outcomes than the ODG group, although anastomotic leakage was more frequent. For patients who underwent LDG <i>vs.</i> ODG, 5-year overall survival (OS) was 82.7% [95% confidence interval (95% CI), 80.2%-85.2%] <i>vs.</i> 83.3% (95% CI, 80.9%-85.8%) (P=0.706) and 5-year recurrence-free survival (RFS) was 76.9% (95% CI, 74.1%-79.7%) <i>vs</i>. 77.9% (95% CI, 75.2%-80.6%) (P=0.666), respectively, with a median follow-up of 70 months. In the multivariable prognostic IPD meta-analysis, the operative approach was not independently associated with OS [hazard ratio (HR)=1.045, 95% CI, 0.833-1.311; P=0.706] or RFS (HR=1.044, 95% CI, 0.859-1.269; P=0.667) for LDG <i>vs</i>. ODG. In the subgroup analysis, LDG demonstrated a significant association with poorer RFS in the pT4 subgroup (HR=1.377, 95% CI, 1.022-1.760; P=0.034).</p><p><strong>Conclusions: </strong>Despite differences in patient populations, surgical practices, and postoperative treatments between trials, LDG is oncologically safe with the benefit of being minimally invasive for patients with LAGC, except for the pT4 patients. Therefore, LDG could be a good treatment alternative for patients with LAGC; however, caution should be warranted in its application for patients classified as T4.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"365-376"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607665","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":"Venetoclax and azacitidine compared with intensive chemotherapy for adverse-risk acute myeloid leukemia patients receiving allogeneic hematopoietic stem cell transplantation in first complete remission: A multicenter study of TROPHY group.","authors":"Qi Wen, Chuanhe Jiang, Xiaodan Liu, Yi Xia, Yilei Ma, Yang Yang, Yu Wang, Yingjun Chang, Luxiang Wang, Zilu Zhang, Xiaojun Huang, Yang Cao, Yanmin Zhao, Xiaoxia Hu, Xiaodong Mo","doi":"10.21147/j.issn.1000-9604.2025.03.10","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.10","url":null,"abstract":"<p><strong>Objective: </strong>Adverse-risk acute myeloid leukemia (AML) patients should receive allogeneic hematopoietic stem cell transplantation (allo-HSCT) at first complete remission (CR1). However, the influence of prior therapies [i.e., venetoclax plus azacitidine (VEN-AZA) or intensive chemotherapy (IC)] on post-transplant outcomes remains inconclusive. This multicenter, retrospective study compared the post-transplant outcomes between patients receiving VEN-AZA and those receiving IC before allo-HSCT.</p><p><strong>Methods: </strong>This study was based on the transplant database of TROPHY group. Consecutive adverse-risk AML patients receiving allo-HSCT from January 2021 to June 2023 were screened in five Chinese transplant centers. Patients were categorized into VEN-AZA group if they received venetoclax combined with azacitidine as first-line therapy followed by allo-HSCT. Patients who received first-line therapy consisting of a mainstay treatment of cytarabine and anthracycline followed by allo-HSCT were categorized into IC group.</p><p><strong>Results: </strong>In the total cohort, the 3-year probabilities of overall survival, leukemia-free survival, and event-free survival were better in the IC group than VEN-AZA group, particularly for patients with <i>ASXL1</i> mutations or <i>SF3B1</i> mutations. However, the survival of the VEN-AZA group was not superior to that of IC group in patients aged ≥55 years or those with the hematopoietic cell transplantation-comorbidity index scores ≥1 before allo-HSCT. After propensity score matching (median age: VEN-AZA group: 57 years; IC group: 55 years), only the probability of overall survival for the IC group was better than that of VEN-AZA group (93.6% <i>vs.</i> 78.0%, P=0.034) at the 1-year follow-up; however, all of the other clinical outcomes were comparable between the VEN-AZA and IC groups. The <i>TP53</i> mutation was independently associated with post-transplant relapse and survival.</p><p><strong>Conclusions: </strong>Our results suggest that IC remains the cornerstone of therapy, whereas VEN-AZA may also be used in younger patients and medically fit patients with adverse-risk AML who are receiving allo-HSCT in CR1.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"417-431"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240252/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607622","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":"Deep learning-based differentiation of benign and malignant thyroid follicular neoplasms on multiscale intraoperative frozen pathological images: A multicenter diagnostic study.","authors":"Jiahui Liu, Chuanguang Xiao, Haicheng Zhang, Pengyi Yu, Qi Wang, Ziru Peng, Guohua Yu, Ping Yang, Yakui Mou, Chuanliang Jia, Hongxia Cheng, Ning Mao, Xicheng Song","doi":"10.21147/j.issn.1000-9604.2025.03.02","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.02","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to develop a deep multiscale image learning system (DMILS) to differentiate malignant from benign thyroid follicular neoplasms on multiscale whole-slide images (WSIs) of intraoperative frozen pathological images.</p><p><strong>Methods: </strong>A total of 1,213 patients were divided into training and validation sets, an internal test set, a pooled external test set, and a pooled prospective test set at three centers. DMILS was constructed using a deep learning-based weakly supervised method based on multiscale WSIs at 10×, 20×, and 40× magnifications. The performance of the DMILS was compared with that of a single magnification and validated in two pathologist-unidentified subsets.</p><p><strong>Results: </strong>The DMILS yielded good performance, with areas under the receiver operating characteristic curves (AUCs) of 0.848, 0.857, 0.810, and 0.787 in the training and validation sets, internal test set, pooled external test set, and pooled prospective test set, respectively. The AUC of the DMILS was higher than that of a single magnification, with 0.788 of 10×, 0.824 of 20×, and 0.775 of 40× in the internal test set. Moreover, DMILS yielded satisfactory performance on the two pathologist-unidentified subsets. Furthermore, the most indicative region predicted by DMILS is the follicular epithelium.</p><p><strong>Conclusions: </strong>DMILS has good performance in differentiating thyroid follicular neoplasms on multiscale WSIs of intraoperative frozen pathological images.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"303-315"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607660","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":"Discovery and validation of indole nitroolefins as novel covalent GPX4 inhibitors for inducing ferroptosis in urological cancers.","authors":"Na Zeng, Guichen Ye, Mengchu Zheng, Guangyuan Liu, Sihan Zhang, Siyang Ma, Zhiyu Xia, Yirong Zhou, Shaogang Wang, Qidong Xia","doi":"10.21147/j.issn.1000-9604.2025.03.09","DOIUrl":"10.21147/j.issn.1000-9604.2025.03.09","url":null,"abstract":"<p><strong>Objective: </strong>Ferroptosis represents a form of cell death characterized by the accumulation of iron dependent lipid peroxidation. This process culminates in membrane damage and cell lysis. One pivotal surveillance mechanism is induced by glutathione peroxidase 4 (GPX4). Furthermore, inhibition of GPX4 has been reported to hold a promise effect in cancer therapeutics.</p><p><strong>Methods: </strong>Computer-aided docking and small molecule probe were used for designed compounds. Flow cytometry was used to evaluate the ferroptosis. Animal experiments were taken to evaluate the <i>in vivo</i> effect of two compounds.</p><p><strong>Results: </strong>Based on our prior research, a series of twenty compounds with covalent binding potential was designed and synthesized. Under systematic evaluation, our team identified two small molecules 14 and 16, which significantly stabilized GPX4 thermal denaturation. Further investigations revealed that treatment with compounds 14 and 16 led to an increase in lipid peroxidation, oxidative stress, and other markers (C11, Fe²⁺ and ROS) levels also increased. In both <i>in</i> <i>vivo</i> and <i>in</i> <i>vitro</i> experiment, compounds 14 and 16 are found suppression effect on urological cancer cells.</p><p><strong>Conclusions: </strong>Compounds 14 and 16 deserve further works as lead compounds of novel docking models for finally discovering effective anti-tumor drug. Future research is needed to dissect their mechanism and exploits this scaffold for GPX4 inhibitor development.</p>","PeriodicalId":9882,"journal":{"name":"Chinese Journal of Cancer Research","volume":"37 3","pages":"404-416"},"PeriodicalIF":7.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607662","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}