International journal of surgery最新文献

{"title":"Prospective cohort study integrating plasma proteomics and machine learning for early risk prediction of prostate cancer.","authors":"Yongming Chen, Tianxin Long, Miao Wang, Shengjie Liu, Zhengtong Lv, Yuxiao Jiang, Huimin Hou, Ming Liu","doi":"10.1097/JS9.0000000000002805","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002805","url":null,"abstract":"<p><strong>Background: </strong>Early detection of prostate cancer (PCa) remains a clinical challenge. Plasma proteomics provides a non-invasive tool for identifying individuals at elevated risk prior to symptom onset or PSA elevation.</p><p><strong>Methods: </strong>We quantified 1,463 plasma proteins in 23,825 PCa-free men from the UK Biobank (UKB). Participants were split into training and validation sets. Cox regression and Light Gradient Boosting Machine (LightGBM) with forward feature selection were used to identify and rank predictive proteins. Model performance was assessed by area under the receiver operating characteristic curve (AUC) in the validation set, and SHAP values were used to interpret feature contributions.</p><p><strong>Results: </strong>TSPAN1 and GP2 consistently ranked as top predictors across all analyses. In the training set, both proteins remained significantly associated with PCa risk after Bonferroni correction in multivariable Cox models. LightGBM with forward selection further prioritized TSPAN1 and GP2 as key contributors, and SHAP analysis confirmed their dominant importance. In the validation set, a model combining TSPAN1, GP2, and demographic variables achieved an AUC of 0.728 for overall PCa prediction and 0.760 for 5-year risk. Based on Youden Index-derived thresholds, high-expression groups of TSPAN1 and GP2 were associated with hazard ratios of 1.75 and 1.60, respectively. Longitudinal profiling showed that TSPAN1 levels began rising approximately 9 years before diagnosis, while GP2 increased from 6 years prior.</p><p><strong>Conclusions: </strong>TSPAN1 and GP2 are promising long-term predictive biomarkers for PCa. A streamlined proteomics-based model may enable individualized risk stratification and inform earlier, less invasive screening strategies.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of total thyroidectomy and lobectomy for intermediate-risk papillary thyroid carcinoma with lateral lymph node metastasis: a systematic review and meta-analysis.","authors":"Xinhua Li, Zhiqiang Gui, Chun Xu, Jingzhe Xiang, Jie Ming, Tao Huang, Mingming Jiang, Hao Zhang, Zhihong Wang","doi":"10.1097/JS9.0000000000002673","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002673","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The 2015 American Thyroid Association guidelines recommend total thyroidectomy (TT) followed by radioactive iodine (RAI) therapy as the primary treatment modality for intermediate-risk papillary thyroid carcinoma (PTC) patients with lateral lymph node metastasis (LLNM). However, the supporting evidence remains insufficient. The clinical superiority of TT versus lobectomy (LT) in this patient population remains unclear, and the optimal surgical approach for intermediate-risk PTC with LLNM continues to be debated.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Aim: &lt;/strong&gt;This meta-analysis examined the clinical superiority of TT versus LT for intermediate-risk PTC with unilateral LLNM.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This PRISMA/AMSTAR-compliant meta-analysis (PROSPERO: CRDXXX) evaluated recurrence-free survival (RFS) in intermediate-risk PTC with unilateral LLNM. Systematic searches of PubMed, Web of Science, and Cochrane Library (2004-2024) combined MeSH terms and title/abstract: (\"papillary thyroid carcinoma\" OR \"papillary thyroid cancer\" OR \"PTC\") AND (\"lateral cervical lymph node metastasis\" OR \"lateral neck lymph node metastasis\" OR \"lateral lymph node metastasis\" OR \"lateral cervical nodal metastasis\" OR \"N1b\") AND (\"thyroidectomy\" OR \"total thyroidectomy\" OR \"lobectomy\"). Two investigators independently extracted data on surgical outcomes, adjuvant RAI therapy, and RFS metrics, with quality assessed via Newcastle-Ottawa Scale. Prespecified subgroup analyses examined RAI utilization and surgical extent impacts. Pooled hazard ratios (HR) with 95% confidence intervals (CI) were calculated using Review Manager 5.3, prioritizing adjusted HR. Heterogeneity was assessed via I2 statistics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among 609 initially identified references, 8 studies met the inclusion and exclusion criteria, comprising 2,462 intermediate-risk PTC patients with unilateral LLNM. Of these, 53.3% (1,313/2,462) underwent TT, and 46.7% (1,149/2,462) underwent LT. Compared with the TT group, LT showed no statistically significant difference on RFS (HR = 1.08, 95% CI 0.83-1.40, p = 0.56). In subgroup analyses: Compared with TT + RAI, LT showed no significant difference in RFS (HR = 0.66, 95% CI 0.40-1.08, p = 0.10); Compared with TT + RAI, LT or TT alone showed no significant difference in RFS (HR = 0.65, 95% CI 0.41-1.03, p = 0.07); Compared with TT alone, LT showed no significant difference in RFS (HR = 1.16, 95% CI 0.63-2.12, p = 0.64); Compared with TT + RAI, TT alone showed no significant difference in RFS (HR = 0.87, 95% CI 0.42-1.81, p = 0.37).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;For intermediate-risk PTC patients with isolated unilateral LLNM, TT and LT demonstrate comparable oncological outcomes in terms of RFS. Unilateral LLNM alone should not constitute an absolute indication for TT. When no additional high-risk features are present, LT may serve as a preferable alternative to optimize quality of life while maintaining oncological safety.","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive multi-omics approach reveals critical genes and immunometabolic networks in glioblastoma.","authors":"Zhaohui Yi, Min Song, Lirong Liang, Jianxun Ren, Jiahui Tian, Guofu Mao, Guohua Mao, Min Chen","doi":"10.1097/JS9.0000000000002634","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002634","url":null,"abstract":"<p><strong>Background: </strong>Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor, with a 5-year survival rate of 4-7% and median survival of 12-18 months despite treatment advances. Its complex genetic profile and immunosuppressive microenvironment underscore the urgent need to identify novel therapeutic targets.</p><p><strong>Methods: </strong>We conducted an integrative multi-omics study combining bioinformatics, transcriptomics, proteomics, and Mendelian Randomization (MR). Differential gene expression analysis was performed between GBM and normal tissues, followed by intersecting differentially expressed genes (DEGs) with eQTL and pQTL datasets. Overlapping genes were employed as instrumental variables in MR analyses with GBM as the outcome. Findings were validated using the Summary-data-based Mendelian Randomization (SMR) method and pQTL data from the UKB-PPP cohort. Two-step MR analyses explored the mediating effects of immune cells, cerebrospinal fluid metabolites, and plasma metabolites. Additionally, in vitro experiments and drug-gene interaction analyses validated biological functions and therapeutic potential.</p><p><strong>Result: </strong>LGALS9 and SELL exhibited significant causal associations with elevated GBM risk. Two-step MR analyses elucidated their mechanisms: LGALS9 promotes GBM via CD3 on CD39⁺ resting regulatory T cells (mediating 7% of the effect), while SELL acts through cerebrospinal fluid metabolite X-22 162 (mediating 16% of the effect). In vitro studies confirmed that LGALS9 and SELL enhance GBM cell proliferation, migration, and invasion, with drug analyses and molecular docking identifying promising compounds, such as meclofenamate, targeting SELL.</p><p><strong>Conclusion: </strong>This pioneering study integrates multi-omics data with MR methodology in GBM research, providing robust evidence for the causal roles of LGALS9 and SELL and clarifying their mechanistic pathways. Validated through functional experiments and druggability assessments, these findings highlight actionable therapeutic targets and prognostic biomarkers for advancing GBM treatment.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the editor: The impact of different left heart decompression strategies and timing on VA-ECMO patients.","authors":"Yanyan Song, Yanting Li, Xudong Liu","doi":"10.1097/JS9.0000000000002888","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002888","url":null,"abstract":"","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144496650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning algorithms from histopathological images stratify molecular subtypes for leiomyosarcoma: a proof-and-concept diagnostic study.","authors":"Shaohui He, Jun Chen, Yanfang Liu, Yanbin Xiao, Mei Li, Qi Zhang, Dongjie Jiang, Mengchen Yin, Xin Jiang, Na Cui, Zhengwei Zhang, Wei Wei, Shangjiang Yu, Yao Zhang, Xiaopan Cai, Haifeng Wei, Jianru Xiao","doi":"10.1097/JS9.0000000000002667","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002667","url":null,"abstract":"<p><strong>Background: </strong>The leiomyosarocma (LMS) is the most common soft tissue sarcoma, and its molecular subtypes were identified with therapeutic sensitivity and prognosis. We aimed to develop and validate deep learning (DL) algorithms to stratify molecular subtypes and predict survival by using single hematoxylin-eosin stained whole slide images (WSIs).</p><p><strong>Methods: </strong>The DL models were trained on the single WSIs (n = 154, tiles = 1 579 215) from The Cancer Genome Atlas, and externally tested in a multi-center cohort from real world (n = 80, tiles = 555 211). The primary performance metric was area under the receiver operating characteristic curve (AUROC), others included accuracy, recall, specificity, precision, and F1 score. The computation visualizations (CVs) were further performed to visualize the histomorphological features, and the effect was evaluated on assisting pathologists in subtyping.</p><p><strong>Results: </strong>After five-fold cross validation, the LMS_DL model based on DesenNet121 achieved an AUROC of 0.944 ± 0.001 in molecular subtyping, while the ResNet50-based DL algorithm achieved highest AUROC of 0.937 ± 0.024 in predicting two-year overall survival. The LMS_DL model outperformed pathologists by over 30% accuracy in subtyping (p<0.001). The histomorphological features summarized by CVs enabled pathologists to obtain accuracy improvements in subtyping by 12.1% ± 4.4% (p = 0.024) with less diagnostic time (p = 0.025) and uncertainty (p = 0.007).</p><p><strong>Conclusions: </strong>The LMS_DL models can be favorably applied in the molecular subtyping and survival prediction for LMSs to greatly alleviate the workload of pathologists with high accuracy and efficacy, which requires large prospective cohort for further validation.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Troponin I/albumin (TBI) Index: a new tool for the prediction of mortality in hospitalized patients with traumatic brain injury.","authors":"Lei Wang, Huamin Ge, Ziyi Wang, Shouyin Jiang, Shanxiang Xu","doi":"10.1097/JS9.0000000000002864","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002864","url":null,"abstract":"","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"KCTD9 expression predicts immunotherapy response and enhances anti-PD-1 efficacy in colon adenocarcinoma.","authors":"Lei Wu, Shengnan Sun, Pengyuan Song, Changsheng Cong, Ning Liu, Meili Sun, Weichong Zhao","doi":"10.1097/JS9.0000000000002846","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002846","url":null,"abstract":"<p><strong>Purpose: </strong>Colon adenocarcinoma (COAD) is a commonly diagnosed malignancy in the world. While immunotherapy, specifically PD-1/PD-L1, shows potential as a treatment for COAD, its efficacy is limited to a minority of patients. This study sought to explore new biomarker that could predict the response to anti-PD-1/PD-L1 therapies in COAD.</p><p><strong>Methods: </strong>In this study, KCTD9 was validated as a novel biomarker for predicting immunotherapy efficacy in colon cancer through transcriptomic expression analysis, cellular pathway activity analysis, immune infiltration analysis, and in vivo mouse xenograft tumor formation assays.</p><p><strong>Results: </strong>Our findings revealed that KCTD9 was correlated with prognosis across multiple cancer types, and as a protective factor, the expression level of KCTD9 exhibited the most significant impact on colon cancer. Furthermore, positive correlations between KCTD9 expression and both microsatellite instability (MSI) and tumor mutational burden (TMB) were observed across multiple tumor types, with the strongest correlations being identified in colon cancer. Finally, high expression of KCTD9 was positively correlated with CD8+ T cell infiltration and CD8-positive α-β T cell activation pathway activity, and significantly enhanced the anti-tumor efficacy of PD-1 inhibitor.</p><p><strong>Conclusions: </strong>Our data validated the strong association between KCTD9 expression and colon cancer prognosis, as well as its capacity to enhance immunotherapy efficacy, indicating that KCTD9 may represent a promising biomarker for colon cancer.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144496646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global research trend of graphene application in breast cancer: a bibliometric analysis.","authors":"Mengdi Zhang, Dongqing Pu, Minmin Yu, Guangxi Shi, Jingwei Li","doi":"10.1097/JS9.0000000000002722","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002722","url":null,"abstract":"<p><p>Breast cancer (BC) is the most common malignancy among women, and its incidence has steadily increased annually. Traditional diagnostic and therapeutic approaches have limitations, prompting an urgent need to explore innovative strategies. Graphene possesses notable advantages, including strong biocompatibility, excellent biosafety, and effective active targeting, providing promising new avenues for BC treatment. This study aims to evaluate the current status and emerging trends of graphene applications in BC using bibliometric methods. Publications related to graphene and BC were retrieved from the Web of Science core collection, screened according to inclusion criteria, and analyzed using CiteSpace and VOSviewer for data analysis and visualization. A total of 1,395 publications were included in this analysis. From 2010 to 2024, the number of publications increased significantly. China and Iran dominate research output in this field, with China contributing the highest number of publications, total citations, average citations per paper, and H-index. The Chinese Academy of Sciences and Duarte de Melo-Diogo are the most influential institution and author, respectively, while Biosensors and Bioelectronics is the most productive journal. Recent research hotspots include the use of graphene in photothermal therapy and biosensing for BC. This bibliometric analysis comprehensively summarizes the current application status and research hotspots of graphene in BC and identifies future application trends. These findings provide valuable insights into the utilization and development directions of graphene in BC.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor: In-depth cerebrovascular lipidomics profiling for discovering novel biomarkers and mechanisms in moyamoya and intracranial atherosclerotic disease.","authors":"Wenpeng Jin, Yunbo Du, Junhao Li","doi":"10.1097/JS9.0000000000002649","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002649","url":null,"abstract":"","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144496649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comments on \"Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma\".","authors":"Junnan Chen, Xiao Yu, Dinghong Xiao, Lianjun Xing","doi":"10.1097/JS9.0000000000002644","DOIUrl":"https://doi.org/10.1097/JS9.0000000000002644","url":null,"abstract":"","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":""},"PeriodicalIF":12.5,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144475196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}