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EMVI as an independent predictor of recurrence and the role of chemotherapy in N0 colonic adenocarcinoma: retrospective Cox regression analysis (2015-2022). EMVI作为N0型结肠腺癌复发和化疗作用的独立预测因子:回顾性Cox回归分析(2015-2022)
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-11 DOI: 10.1007/s00384-026-05088-9
S Bhanderi, M Delaney, H Khan, R O'Neill, A Patel

Purpose: Extramural venous invasion (EMVI) is a high-risk pathological feature in colorectal cancer, yet its role in guiding adjuvant chemotherapy in node-negative colon cancer remains uncertain. This study evaluates EMVI as a predictor of recurrence in patients undergoing colon cancer resection and investigates whether adjuvant chemotherapy affects recurrence in node-negative, EMVI-positive (N0/EMVI +) patients.

Methods: A retrospective cohort study was conducted on adults undergoing surgery for colon cancer at a single UK cancer centre between 2015 and 2022. Patients with rectal tumours or metastatic disease at presentation were excluded. Cox proportional hazards models were used to assess predictors of recurrence. Kaplan-Meier survival curves were generated to visualise recurrence-free survival (RFS) stratified by EMVI and chemotherapy status.

Results: Among 675 patients, EMVI was present in 361 (53%). EMVI was independently associated with increased recurrence (HR: 1.80, 95% CI: 1.14-2.84, p=0.011). In the N0/EMVI+ subgroup (n=124), chemotherapy was not significantly associated with reduced recurrence: partial chemotherapy (HR: 1.36, 95% CI: 0.30-6.20, p=0.69), full chemotherapy (HR: 1.53, 95% CI: 0.46-5.12, p=0.49). Kaplan-Meier analysis revealed five-year RFS of 80.9% for no chemotherapy, 60.6% for partial chemotherapy, and 41.6% for full chemotherapy (p=0.69). Survival differences were not statistically significant.

Conclusion: EMVI is a predictor of recurrence in patients undergoing surgery for colon cancer. However, in node-negative patients with EMVI, chemotherapy was not significantly associated with improved recurrence-free survival. These findings highlight the need for larger, prospective studies to better define the role of EMVI in guiding adjuvant therapy in stage II colon cancer.

目的:外静脉侵犯(EMVI)是结直肠癌的高危病理特征,但其在结阴性结肠癌辅助化疗中的指导作用尚不明确。本研究评估了EMVI作为结肠癌切除术患者复发的预测因子,并调查了辅助化疗是否影响淋巴结阴性、EMVI阳性(N0/EMVI +)患者的复发。方法:对2015年至2022年间在英国某癌症中心接受结肠癌手术的成年人进行回顾性队列研究。排除直肠肿瘤或转移性疾病患者。采用Cox比例风险模型评估复发预测因子。生成Kaplan-Meier生存曲线,以可视化EMVI和化疗状态分层的无复发生存(RFS)。结果:675例患者中,有361例(53%)出现EMVI。EMVI与复发率增加独立相关(HR: 1.80, 95% CI: 1.14-2.84, p=0.011)。在N0/EMVI+亚组(n=124)中,化疗与减少复发没有显著相关性:部分化疗(HR: 1.36, 95% CI: 0.30-6.20, p=0.69),完全化疗(HR: 1.53, 95% CI: 0.46-5.12, p=0.49)。Kaplan-Meier分析显示,不化疗的5年RFS为80.9%,部分化疗为60.6%,完全化疗为41.6% (p=0.69)。生存率差异无统计学意义。结论:EMVI是结肠癌手术患者复发的预测因子。然而,在淋巴结阴性的EMVI患者中,化疗与改善无复发生存期没有显著相关。这些发现强调需要进行更大规模的前瞻性研究,以更好地确定EMVI在指导II期结肠癌辅助治疗中的作用。
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引用次数: 0
Correction to: Retrospective analysis on the efficacy of botulinum toxin alone versus combined botulinum toxin and topical diltiazem. 修正:回顾性分析单独使用肉毒毒素与联合使用肉毒毒素和局部使用地尔硫卓的疗效。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-10 DOI: 10.1007/s00384-026-05107-9
Cigdem Arslan, Emre Karagoz, Tansu Altintas, Caglar Pekuz, Yasemin Yildirim, Mustafa Oncel
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引用次数: 0
Colonic metastasis from breast carcinoma: A case report and systematic review of a rare clinical scenario. 乳腺癌结肠转移:一例罕见临床病例报告及系统回顾。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-07 DOI: 10.1007/s00384-026-05102-0
Matteo Matteucci, Gisella Barone, Lorenza Zampino, Carla Codecà, Vincenza Paola Dinuzzi, Aurora Battista, Umberto Rivolta, MiMi Yen, Marco Galliano, Camillo Leonardo Bertoglio

Purpose: Colonic metastasis from breast cancer is extremely rare, with an incidence of only 0.1%. Diagnosis is often difficult and guidelines are not yet established. The aim of our review is investigating the latency from the primary tumor, the common symptoms, the diagnostic and therapeutic strategies and the role of surgery for this rare clinical scenario.

Materials: We report the case of a 57-year-old woman with multiple colonic metastasis from primary breast tumor, who underwent laparoscopic left hemicolectomy. A systematic review of 64 case reports was also conducted.

Results: Lobular carcinoma is more frequently associated with gastro-intestinal (GI) metastasis than ductal carcinoma. The median age at diagnosis is 65.5 (IQR = 15) years with colonic metastases typically occurring after a median of 8 years (IQR = 13) from the primary tumor diagnosis. The most frequent symptoms are abdominal pain (34.4%), bowel habit changes (26.6%), and intestinal obstruction (9.4%). In 25% of cases, metastases were incidentally discovered during follow-up. The median disease-free survival was 12 months (IQR = 27.5). Thirteen studies reported death at a median of 12 months (IQR = 20), while 24 did not report follow-up data.

Conclusions: The poor prognosis is mainly due to long latency between primary diagnosis and metastasis onset, as well as to non-specific symptoms. Immuno-histochemical is crucial for diagnosis, although not sufficient to determine tumor origin definitively. Patients with history of breast cancer presenting with GI symptoms should undergo prompt endoscopic evaluation, although routine surveillance remains controversial. Surgery may be considered in selected cases, but systemic therapies remain the cornerstone of treatment.

目的:乳腺癌结肠转移极为罕见,发生率仅为0.1%。诊断通常很困难,而且尚未建立指导方针。我们回顾的目的是调查原发肿瘤的潜伏期,常见症状,诊断和治疗策略以及手术在这种罕见临床情况下的作用。资料:我们报告一位57岁的女性,原发乳腺肿瘤多发结肠转移,行腹腔镜左半结肠切除术。还对64份病例报告进行了系统审查。结果:小叶癌比导管癌更易发生胃肠道转移。诊断时的中位年龄为65.5 (IQR = 15)岁,结肠转移通常发生在原发肿瘤诊断后的中位8年(IQR = 13)。最常见的症状是腹痛(34.4%)、排便习惯改变(26.6%)和肠梗阻(9.4%)。25%的病例在随访中偶然发现转移。中位无病生存期为12个月(IQR = 27.5)。13项研究报告了中位12个月的死亡(IQR = 20),而24项研究没有报告随访数据。结论:预后差的主要原因是原发性诊断到转移发生的潜伏期较长,且症状无特异性。免疫组织化学对诊断是至关重要的,尽管不足以确定肿瘤的起源。有胃肠道症状的乳腺癌患者应及时接受内镜检查,尽管常规监测仍有争议。在某些情况下可以考虑手术,但全身治疗仍然是治疗的基石。
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引用次数: 0
Management of a rare entity; a intramuscular caecal epidermoid cyst, in the robotic surgery era: a video case report. 稀有实体的管理;肌肉内盲肠表皮样囊肿,在机器人手术时代:一个视频病例报告。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-07 DOI: 10.1007/s00384-026-05104-y
Taya Keating, Katie Giblin, Olubunmi Ipadeola, Carolyn Cullinane, Hazim Eltyeb, Christina Fleming

This case "Management of an intramuscular caecal epidermoid cyst in the robotic surgery era" documents the work-up and management of a rare entity, with the aid of the robotic surgery platform. There are 12 reported cases in the literature of epidermoid cysts arising from the caecum since 1961. Ranging from 8- to 75-year-olds, four of the epidermoid cysts were intramuscular, with six being subserosal. Given the rarity of this entity and the pre-operative diagnostic uncertainty, often both CT and MRI are used during pre-operative work-up. To our knowledge, this is the first reported case of intramuscular caecal epidermoid cyst excised using a robotic surgery approach.

本病例“机器人手术时代的肌内盲肠表皮样囊肿的处理”记录了在机器人手术平台的帮助下对一种罕见的实体的检查和处理。自1961年以来,文献报道了12例起源于盲肠的表皮样囊肿。年龄从8岁到75岁,4例表皮样囊肿在肌肉内,6例在浆膜下。鉴于这种实体的罕见性和术前诊断的不确定性,通常在术前检查中同时使用CT和MRI。据我们所知,这是第一例使用机器人手术方法切除肌肉内盲肠表皮样囊肿的报道。
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引用次数: 0
Management of pT1N0M0 rectal cancer: the central role of pathology in therapeutic decisions. pT1N0M0直肠癌的治疗:病理在治疗决策中的核心作用。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-06 DOI: 10.1007/s00384-026-05087-w
Xavier Serra-Aracil, Cristina Gener-Jorge, Gianluca Pellino
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引用次数: 0
Interpretable AI-driven prediction of early postoperative recurrence in locally advanced rectal cancer using the Systemic Inflammatory-Nutritional Index (SINTI): A multi-center study and clinical web tool. 使用系统性炎症营养指数(SINTI)预测局部晚期直肠癌术后早期复发的可解释ai驱动:一项多中心研究和临床网络工具
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-05 DOI: 10.1007/s00384-026-05081-2
Zhen Pan, Tengyi Peng, Ye Wang, Bin Chen, Zhicheng Zhuang, XingRong Lu, Shoufeng Li, Guoxian Guan

Background: Patients with locally advanced rectal cancer (LARC) who undergo neoadjuvant chemoradiotherapy (NCRT) and subsequently experience early recurrence (ER) within two years post-surgery tend to have unfavorable prognoses. Therefore, the accurate prediction of ER in LARC is of paramount importance.

Purpose: This study aimed to develop and validate an explainable artificial intelligence (AI) model, based on the systemic inflammation-nutritional tumor biomarker index (SINTI) derived from routine blood biomarkers, to predict ER in patients with LARC.

Methods: We conducted a multicenter retrospective analysis involving two distinct patient cohorts: Cohort A (n = 715; from February 2011 to September 2017) and Cohort B (n = 224; spanning June 2020 to June 2023). Feature selection was executed utilizing the least absolute shrinkage and selection operator (LASSO) regularization to construct SINTI, effectively addressing multicollinearity. Predictive modeling incorporated ten different machine learning architectures, with hyperparameter optimization achieved through a randomized search complemented by nested tenfold cross-validation. Model performance was thoroughly evaluated using multiple metrics, including the area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (AUPRC), clinical utility curves, and calibration plots. The interpretability of the model was enhanced through SHAP value analysis, followed by its deployment as a clinical decision support web application.

Results: The study included 715 patients from Center One and 224 from Center Two, identifying six key biomarkers as the core components of the SINTI model. Multivariable analysis confirmed that SINTI, clinical N stage, clinical T stage, and tumor size are independent predictors of early recurrence. The XGBoost algorithm exhibited robust discrimination during training cohort cross-validation, achieving a mean AUC of 0.860 (SD ± 0.021) and demonstrating consistent performance across validation datasets, with an internal AUC of 0.842 and an external AUC of 0.840. SHAP value interpretation revealed monotonic relationships between predictor variables and recurrence risk, with SINTI accounting for 36.1% of the total predictive weight. For clinical implementation, we deployed the optimized model as a web-based decision support tool, which can be accessed at https://p7toqbsdfbhlahdrugj4ra.streamlit.app/ .

Conclusion: This interpretable AI framework demonstrates the potential to bridge data-driven modeling and clinical decision support, offering a transparent, potentially deployable solution for post-NCRT recurrence risk prediction following further prospective validation.

背景:局部晚期直肠癌(LARC)患者在术后2年内接受新辅助放化疗(NCRT)并出现早期复发(ER)的患者往往预后不良。因此,准确预测LARC的ER至关重要。目的:本研究旨在开发和验证一个可解释的人工智能(AI)模型,该模型基于常规血液生物标志物衍生的全身炎症-营养肿瘤生物标志物指数(SINTI)来预测LARC患者的ER。方法:我们对两个不同的患者队列进行了多中心回顾性分析:队列a (n = 715,从2011年2月到2017年9月)和队列B (n = 224,从2020年6月到2023年6月)。利用最小绝对收缩和选择算子(LASSO)正则化进行特征选择以构造SINTI,有效地解决多重共线性问题。预测建模结合了十种不同的机器学习架构,通过随机搜索和嵌套的十倍交叉验证来实现超参数优化。使用多种指标全面评估模型的性能,包括受试者工作特征曲线下面积(AUC)、精确度-召回率曲线下面积(AUPRC)、临床效用曲线和校准图。通过SHAP值分析增强了模型的可解释性,随后将其部署为临床决策支持web应用程序。结果:该研究包括来自第一中心的715名患者和来自第二中心的224名患者,确定了6个关键生物标志物作为SINTI模型的核心组成部分。多变量分析证实SINTI、临床N分期、临床T分期、肿瘤大小是早期复发的独立预测因子。XGBoost算法在训练队列交叉验证中表现出稳健的辨别能力,平均AUC为0.860 (SD±0.021),并且在验证数据集上表现出一致的性能,内部AUC为0.842,外部AUC为0.840。SHAP值解释显示预测变量与复发风险之间存在单调关系,其中SINTI占总预测权重的36.1%。对于临床应用,我们将优化的模型部署为基于web的决策支持工具,该工具可以访问https://p7toqbsdfbhlahdrugj4ra.streamlit.app/。结论:这个可解释的AI框架展示了在数据驱动建模和临床决策支持之间建立桥梁的潜力,在进一步的前瞻性验证后,为ncrt后复发风险预测提供了一个透明的、潜在的可部署解决方案。
{"title":"Interpretable AI-driven prediction of early postoperative recurrence in locally advanced rectal cancer using the Systemic Inflammatory-Nutritional Index (SINTI): A multi-center study and clinical web tool.","authors":"Zhen Pan, Tengyi Peng, Ye Wang, Bin Chen, Zhicheng Zhuang, XingRong Lu, Shoufeng Li, Guoxian Guan","doi":"10.1007/s00384-026-05081-2","DOIUrl":"10.1007/s00384-026-05081-2","url":null,"abstract":"<p><strong>Background: </strong>Patients with locally advanced rectal cancer (LARC) who undergo neoadjuvant chemoradiotherapy (NCRT) and subsequently experience early recurrence (ER) within two years post-surgery tend to have unfavorable prognoses. Therefore, the accurate prediction of ER in LARC is of paramount importance.</p><p><strong>Purpose: </strong>This study aimed to develop and validate an explainable artificial intelligence (AI) model, based on the systemic inflammation-nutritional tumor biomarker index (SINTI) derived from routine blood biomarkers, to predict ER in patients with LARC.</p><p><strong>Methods: </strong>We conducted a multicenter retrospective analysis involving two distinct patient cohorts: Cohort A (n = 715; from February 2011 to September 2017) and Cohort B (n = 224; spanning June 2020 to June 2023). Feature selection was executed utilizing the least absolute shrinkage and selection operator (LASSO) regularization to construct SINTI, effectively addressing multicollinearity. Predictive modeling incorporated ten different machine learning architectures, with hyperparameter optimization achieved through a randomized search complemented by nested tenfold cross-validation. Model performance was thoroughly evaluated using multiple metrics, including the area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (AUPRC), clinical utility curves, and calibration plots. The interpretability of the model was enhanced through SHAP value analysis, followed by its deployment as a clinical decision support web application.</p><p><strong>Results: </strong>The study included 715 patients from Center One and 224 from Center Two, identifying six key biomarkers as the core components of the SINTI model. Multivariable analysis confirmed that SINTI, clinical N stage, clinical T stage, and tumor size are independent predictors of early recurrence. The XGBoost algorithm exhibited robust discrimination during training cohort cross-validation, achieving a mean AUC of 0.860 (SD ± 0.021) and demonstrating consistent performance across validation datasets, with an internal AUC of 0.842 and an external AUC of 0.840. SHAP value interpretation revealed monotonic relationships between predictor variables and recurrence risk, with SINTI accounting for 36.1% of the total predictive weight. For clinical implementation, we deployed the optimized model as a web-based decision support tool, which can be accessed at https://p7toqbsdfbhlahdrugj4ra.streamlit.app/ .</p><p><strong>Conclusion: </strong>This interpretable AI framework demonstrates the potential to bridge data-driven modeling and clinical decision support, offering a transparent, potentially deployable solution for post-NCRT recurrence risk prediction following further prospective validation.</p>","PeriodicalId":13789,"journal":{"name":"International Journal of Colorectal Disease","volume":"41 1","pages":"58"},"PeriodicalIF":2.3,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12876082/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125041","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}
引用次数: 0
Integrative bioinformatics and machine learning approaches identify novel diagnostic signatures for oxaliplatin-resistant colorectal cancer. 综合生物信息学和机器学习方法确定了奥沙利铂耐药结直肠癌的新诊断特征。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-05 DOI: 10.1007/s00384-026-05100-2
Xue Chen, Zhen Zheng, Kaitai Liu

Background: Oxaliplatin resistance significantly impairs therapeutic outcomes in colorectal cancer. However, reliable diagnostic markers for early detection of resistance remain limited. This study aimed to identify novel diagnostic signatures through integrative bioinformatics and machine learning approaches.

Methods: We performed comprehensive bioinformatics analyses combining transcriptomics data from multiple cohorts. The diagnostic signatures were identified and validated using machine learning algorithms. Weighted gene co-expression network analysis (WGCNA) was employed to explore resistance-associated gene modules. Multiple computational methods including functional enrichment, protein-protein interaction networks, and immune infiltration assessment were conducted to comprehensively characterize the molecular features of oxaliplatin resistance.

Results: Through integrative analysis and machine learning, we identified an 8-gene diagnostic signature (CHFR, TGFBRAP1, RPS4Y1, CYP26B1, NR4A2, FLJ20021, TNFSF9, CAV2) that demonstrated robust performance in distinguishing resistant cases (AUC = 0.868). Functional characterization revealed significant enrichment in metabolic reprogramming, DNA repair mechanisms, and immune modulation pathways. Systematic evaluation of tumor-immune interactions demonstrated distinct patterns of immune cell infiltration between resistant and sensitive groups, particularly in Natural killer cells and Activated CD8 T cells. Computational drug screening identified Glycidamide and orciprenaline as promising candidates, with favorable binding profiles against key resistance-associated targets.

Conclusions: Our study establishes a novel multi-gene diagnostic signature for oxaliplatin resistance through integrative bioinformatics and machine learning approaches. The comprehensive molecular characterization and identification of potential therapeutic candidates provide new insights into resistance mechanisms and clinical management strategies for oxaliplatin-resistant colorectal cancer.

背景:奥沙利铂耐药显著影响结直肠癌的治疗结果。然而,早期发现耐药性的可靠诊断标记仍然有限。本研究旨在通过综合生物信息学和机器学习方法识别新的诊断特征。方法:我们结合来自多个队列的转录组学数据进行了全面的生物信息学分析。使用机器学习算法识别和验证诊断签名。采用加权基因共表达网络分析(加权基因共表达网络分析,WGCNA)探索耐药性相关基因模块。通过功能富集、蛋白-蛋白相互作用网络、免疫浸润评估等多种计算方法,全面表征奥沙利铂耐药的分子特征。结果:通过综合分析和机器学习,我们确定了一个8个基因的诊断特征(CHFR、TGFBRAP1、RPS4Y1、CYP26B1、NR4A2、FLJ20021、TNFSF9、CAV2),在区分耐药病例方面表现出强大的性能(AUC = 0.868)。功能表征显示代谢重编程、DNA修复机制和免疫调节途径显著富集。肿瘤-免疫相互作用的系统评估表明,在耐药组和敏感组之间,免疫细胞浸润的不同模式,特别是在自然杀伤细胞和活化CD8 T细胞中。计算药物筛选确定了甘氨酰胺和奥昔那林作为有希望的候选者,与关键的耐药相关靶点具有良好的结合谱。结论:我们的研究通过综合生物信息学和机器学习方法建立了一种新的奥沙利铂耐药多基因诊断特征。全面的分子表征和潜在治疗候选药物的鉴定为奥沙利铂耐药结直肠癌的耐药机制和临床管理策略提供了新的见解。
{"title":"Integrative bioinformatics and machine learning approaches identify novel diagnostic signatures for oxaliplatin-resistant colorectal cancer.","authors":"Xue Chen, Zhen Zheng, Kaitai Liu","doi":"10.1007/s00384-026-05100-2","DOIUrl":"10.1007/s00384-026-05100-2","url":null,"abstract":"<p><strong>Background: </strong>Oxaliplatin resistance significantly impairs therapeutic outcomes in colorectal cancer. However, reliable diagnostic markers for early detection of resistance remain limited. This study aimed to identify novel diagnostic signatures through integrative bioinformatics and machine learning approaches.</p><p><strong>Methods: </strong>We performed comprehensive bioinformatics analyses combining transcriptomics data from multiple cohorts. The diagnostic signatures were identified and validated using machine learning algorithms. Weighted gene co-expression network analysis (WGCNA) was employed to explore resistance-associated gene modules. Multiple computational methods including functional enrichment, protein-protein interaction networks, and immune infiltration assessment were conducted to comprehensively characterize the molecular features of oxaliplatin resistance.</p><p><strong>Results: </strong>Through integrative analysis and machine learning, we identified an 8-gene diagnostic signature (CHFR, TGFBRAP1, RPS4Y1, CYP26B1, NR4A2, FLJ20021, TNFSF9, CAV2) that demonstrated robust performance in distinguishing resistant cases (AUC = 0.868). Functional characterization revealed significant enrichment in metabolic reprogramming, DNA repair mechanisms, and immune modulation pathways. Systematic evaluation of tumor-immune interactions demonstrated distinct patterns of immune cell infiltration between resistant and sensitive groups, particularly in Natural killer cells and Activated CD8 T cells. Computational drug screening identified Glycidamide and orciprenaline as promising candidates, with favorable binding profiles against key resistance-associated targets.</p><p><strong>Conclusions: </strong>Our study establishes a novel multi-gene diagnostic signature for oxaliplatin resistance through integrative bioinformatics and machine learning approaches. The comprehensive molecular characterization and identification of potential therapeutic candidates provide new insights into resistance mechanisms and clinical management strategies for oxaliplatin-resistant colorectal cancer.</p>","PeriodicalId":13789,"journal":{"name":"International Journal of Colorectal Disease","volume":"41 1","pages":"60"},"PeriodicalIF":2.3,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12876090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125048","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}
引用次数: 0
Anoscrotal fistulas: causes and management in a 10-year French case series. 阴囊瘘管:10年法国病例系列的原因和管理。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-04 DOI: 10.1007/s00384-026-05097-8
Eleftherios Gialamas, Nadia Fathallah, Maria Skoufou, Mohamed Amine Haouari, Amine Antonin Alam, Manuel Aubert, Elise Pommaret, Deborah Roland, Christophe Michaud, Xavier Durand, Vincent de Parades

Purpose: Anoscrotal fistula is a rare variant of anal fistula, often mimicking primary scrotal disease and causing diagnostic delay. Unlike typical cryptoglandular fistulas, anoscrotal extensions are frequently linked to Crohn's disease, tuberculosis, hidradenitis suppurativa, or actinomycosis. Published data remain scarce, especially in Europe. This study aimed to describe the clinical features, etiologies, imaging findings, management, and outcomes of anoscrotal fistulas treated in a French tertiary center.

Methods: We retrospectively reviewed all men managed for anoscrotal fistula at the Institute of Proctology, Paris Saint-Joseph Hospital, between 2014 and 2024. Demographic, clinical, radiological, surgical, and outcome data were analyzed. Healing was defined as closure of all fistula openings without recurrence at last follow-up.

Results: Twenty-nine patients were included (mean age 48.2 years). Initial presentation was abscess in 55% and purulent discharge in 45%. External scrotal openings were present in 90%. Magnetic resonance imaging (MRI) identified complex tracts in 59% of cases. Etiologies were cryptoglandular (63%), Crohn's disease (15%), hidradenitis (11%), tuberculosis (7%), and actinomycosis (4%). Nineteen patients (66%) had prior anorectal surgery. Most (72%) underwent initial seton drainage, followed by fistulotomy (31%), advancement flap (12%), or other sphincter-preserving techniques. A urologist was involved in 31% of cases. After a median follow-up of 22 months, 59% healed, 28% had persistent disease, and none recurred once healed. Continence was preserved, and 73% of patients were highly satisfied. No predictors of healing were identified.

Conclusion: This series represents one of the largest European experiences with anoscrotal fistula. Findings emphasize frequent non-cryptoglandular causes, the key role of MRI, and the need for multidisciplinary, individualized management.

目的:阴囊瘘是肛瘘的一种罕见的变异,经常模仿原发性阴囊疾病,造成诊断延误。与典型的隐腺瘘不同,阴囊延伸常与克罗恩病、肺结核、化脓性汗腺炎或放线菌病有关。公开的数据仍然很少,尤其是在欧洲。本研究旨在描述在法国三级中心治疗肛瘘的临床特征、病因、影像学表现、管理和结果。方法:回顾性分析2014年至2024年在巴黎圣约瑟夫医院肛肠研究所接受肛管瘘治疗的所有男性患者。分析了人口统计学、临床、放射学、外科和结局数据。愈合定义为在最后随访时关闭所有瘘管开口且无复发。结果:纳入29例患者,平均年龄48.2岁。最初表现为脓肿(55%)和脓性分泌物(45%)。90%的患者存在阴囊外开口。磁共振成像(MRI)在59%的病例中发现复杂束。病因包括隐腺(63%)、克罗恩病(15%)、汗腺炎(11%)、肺结核(7%)和放线菌病(4%)。19例(66%)患者既往有肛肠手术史。大多数(72%)患者接受了最初的腱鞘引流术,随后进行了瘘管切开术(31%)、推进皮瓣(12%)或其他保留括约肌的技术。31%的病例涉及泌尿科医生。中位随访22个月后,59%的患者痊愈,28%的患者病情持续,痊愈后无复发。控制得以保留,73%的患者高度满意。没有发现愈合的预测因素。结论:这一系列的病例是欧洲最大的肛瘘病例之一。研究结果强调了常见的非隐腺病因,MRI的关键作用,以及多学科、个体化治疗的必要性。
{"title":"Anoscrotal fistulas: causes and management in a 10-year French case series.","authors":"Eleftherios Gialamas, Nadia Fathallah, Maria Skoufou, Mohamed Amine Haouari, Amine Antonin Alam, Manuel Aubert, Elise Pommaret, Deborah Roland, Christophe Michaud, Xavier Durand, Vincent de Parades","doi":"10.1007/s00384-026-05097-8","DOIUrl":"10.1007/s00384-026-05097-8","url":null,"abstract":"<p><strong>Purpose: </strong>Anoscrotal fistula is a rare variant of anal fistula, often mimicking primary scrotal disease and causing diagnostic delay. Unlike typical cryptoglandular fistulas, anoscrotal extensions are frequently linked to Crohn's disease, tuberculosis, hidradenitis suppurativa, or actinomycosis. Published data remain scarce, especially in Europe. This study aimed to describe the clinical features, etiologies, imaging findings, management, and outcomes of anoscrotal fistulas treated in a French tertiary center.</p><p><strong>Methods: </strong>We retrospectively reviewed all men managed for anoscrotal fistula at the Institute of Proctology, Paris Saint-Joseph Hospital, between 2014 and 2024. Demographic, clinical, radiological, surgical, and outcome data were analyzed. Healing was defined as closure of all fistula openings without recurrence at last follow-up.</p><p><strong>Results: </strong>Twenty-nine patients were included (mean age 48.2 years). Initial presentation was abscess in 55% and purulent discharge in 45%. External scrotal openings were present in 90%. Magnetic resonance imaging (MRI) identified complex tracts in 59% of cases. Etiologies were cryptoglandular (63%), Crohn's disease (15%), hidradenitis (11%), tuberculosis (7%), and actinomycosis (4%). Nineteen patients (66%) had prior anorectal surgery. Most (72%) underwent initial seton drainage, followed by fistulotomy (31%), advancement flap (12%), or other sphincter-preserving techniques. A urologist was involved in 31% of cases. After a median follow-up of 22 months, 59% healed, 28% had persistent disease, and none recurred once healed. Continence was preserved, and 73% of patients were highly satisfied. No predictors of healing were identified.</p><p><strong>Conclusion: </strong>This series represents one of the largest European experiences with anoscrotal fistula. Findings emphasize frequent non-cryptoglandular causes, the key role of MRI, and the need for multidisciplinary, individualized management.</p>","PeriodicalId":13789,"journal":{"name":"International Journal of Colorectal Disease","volume":"41 1","pages":"56"},"PeriodicalIF":2.3,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146118470","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}
引用次数: 0
Impact of gross tumor morphology on the clinical outcomes of colon cancer: multicenter retrospective cohort study. 肿瘤大体形态对结肠癌临床结局的影响:多中心回顾性队列研究。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-04 DOI: 10.1007/s00384-026-05101-1
So Jung Han, Hyun Seok Lee, Byung Ik Jang, Jae Hyun Kim, Hyun Gun Kim, Il Hyun Baek, Jun Lee, Bun Kim, Dae Bum Kim, Jae Jun Park

Purpose: While histopathological features are established prognostic factors in colorectal cancer, the prognostic significance of gross tumor morphology remains unclear. We investigated whether endoscopic gross morphology is associated with clinical outcomes in colon cancer.

Methods: We performed a multicenter retrospective analysis of 1,177 patients with colon cancer who underwent curative-intent endoscopic or surgical resection between 2010 and 2019. Tumors were categorized based on endoscopic images as flat/ulceroinfiltrative (n = 345) or fungating/ulcerofungating (n = 832). Kaplan-Meier analysis assessed survival outcomes, and Cox proportional hazards models identified independent prognostic factors, adjusting for age, sex, family history, diabetes, CEA, and AJCC 7th edition stage.

Results: Patients with flat/ulceroinfiltrative tumors had significantly shorter overall survival (OS, p = 0.001) and disease-free survival (DFS, p = 0.024) than those with fungating/ulcerofungating tumors. In stage II patients, the difference in OS by morphology was more pronounced (p = 0.004). Multivariate analysis confirmed flat/ulceroinfiltrative morphology as an independent predictor of poor OS (HR 1.61; 95% CI 1.122-2.335; p = 0.010). Other significant predictors included older age (≥ 65 years, HR 1.533; p = 0.021), poor histologic grade (PD vs. WD/MD, HR 5.308; p < 0.001), and advanced stage.

Conclusions: Gross endoscopic morphology is an independent prognostic factor in colon cancer. Flat/ulceroinfiltrative tumors are associated with worse outcomes, especially in stage II disease. Gross morphology, readily identifiable at diagnosis, may aid risk stratification and inform decisions regarding adjuvant therapy.

目的:虽然组织病理学特征是确定的结直肠癌预后因素,但大体肿瘤形态对预后的意义尚不清楚。我们研究了内镜下大体形态是否与结肠癌的临床结果相关。方法:我们对2010年至2019年期间接受治疗性内镜或手术切除的1177例结肠癌患者进行了多中心回顾性分析。根据内镜图像将肿瘤分类为扁平/溃疡浸润(n = 345)或真菌形成/溃疡形成(n = 832)。Kaplan-Meier分析评估了生存结果,Cox比例风险模型确定了独立的预后因素,调整了年龄、性别、家族史、糖尿病、CEA和AJCC第7版分期。结果:扁平/溃疡浸润性肿瘤患者的总生存期(OS, p = 0.001)和无病生存期(DFS, p = 0.024)明显短于真菌化/溃疡浸润性肿瘤患者。在II期患者中,形态OS的差异更为明显(p = 0.004)。多因素分析证实扁平/溃疡浸润形态是不良OS的独立预测因子(HR 1.61; 95% CI 1.122-2.335; p = 0.010)。其他重要的预测因素包括年龄较大(≥65岁,HR 1.533; p = 0.021),组织学分级差(PD vs WD/MD, HR 5.308; p结论:内镜下大体形态是结肠癌的独立预后因素。扁平/溃疡浸润性肿瘤与较差的预后相关,特别是在II期疾病中。大体形态,在诊断时很容易识别,可以帮助危险分层,并告知辅助治疗的决定。
{"title":"Impact of gross tumor morphology on the clinical outcomes of colon cancer: multicenter retrospective cohort study.","authors":"So Jung Han, Hyun Seok Lee, Byung Ik Jang, Jae Hyun Kim, Hyun Gun Kim, Il Hyun Baek, Jun Lee, Bun Kim, Dae Bum Kim, Jae Jun Park","doi":"10.1007/s00384-026-05101-1","DOIUrl":"10.1007/s00384-026-05101-1","url":null,"abstract":"<p><strong>Purpose: </strong>While histopathological features are established prognostic factors in colorectal cancer, the prognostic significance of gross tumor morphology remains unclear. We investigated whether endoscopic gross morphology is associated with clinical outcomes in colon cancer.</p><p><strong>Methods: </strong>We performed a multicenter retrospective analysis of 1,177 patients with colon cancer who underwent curative-intent endoscopic or surgical resection between 2010 and 2019. Tumors were categorized based on endoscopic images as flat/ulceroinfiltrative (n = 345) or fungating/ulcerofungating (n = 832). Kaplan-Meier analysis assessed survival outcomes, and Cox proportional hazards models identified independent prognostic factors, adjusting for age, sex, family history, diabetes, CEA, and AJCC 7th edition stage.</p><p><strong>Results: </strong>Patients with flat/ulceroinfiltrative tumors had significantly shorter overall survival (OS, p = 0.001) and disease-free survival (DFS, p = 0.024) than those with fungating/ulcerofungating tumors. In stage II patients, the difference in OS by morphology was more pronounced (p = 0.004). Multivariate analysis confirmed flat/ulceroinfiltrative morphology as an independent predictor of poor OS (HR 1.61; 95% CI 1.122-2.335; p = 0.010). Other significant predictors included older age (≥ 65 years, HR 1.533; p = 0.021), poor histologic grade (PD vs. WD/MD, HR 5.308; p < 0.001), and advanced stage.</p><p><strong>Conclusions: </strong>Gross endoscopic morphology is an independent prognostic factor in colon cancer. Flat/ulceroinfiltrative tumors are associated with worse outcomes, especially in stage II disease. Gross morphology, readily identifiable at diagnosis, may aid risk stratification and inform decisions regarding adjuvant therapy.</p>","PeriodicalId":13789,"journal":{"name":"International Journal of Colorectal Disease","volume":"41 1","pages":"57"},"PeriodicalIF":2.3,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146118842","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}
引用次数: 0
A novel caudal-dorsal approach for laparoscopic right hemicolectomy with complete mesocolic excision. 一种新的尾背入路用于腹腔镜右半结肠全肠系膜切除术。
IF 2.3 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Pub Date : 2026-02-04 DOI: 10.1007/s00384-026-05094-x
Yurong Jiao, Haiting Xie, Xinyi Zhou, Xiangxing Kong, Chenyu Liu, Federico Maria Mongardini, Jun Li

Purpose: We aimed to demonstrate a novel caudal-dorsal approach laparoscopic right hemicolectomy (LRH) for a patient diagnosed with right colon carcinoma.

Method: We performed a LRH with a caudal-dorsal approach. We started the operation from the distal root of the small intestine mesentery and the backside of the ascending colon. The ileocolic artery and vein were transected at the dorsal side of the mesocolon. The superior mesenteric vein (SMV) and the gastrocolic trunk were dissected from the dorsal approach. The study adhered to the IDEAL. We followed the recommendations of the LAP-VEGaS Consensus for the reporting of Laparoscopic Videos [1].

Results: The operation lasted approximately 120 min, with an intraoperative blood loss of only 10 mL. Postoperative pathology showed pT1N0M0 (18 lymph nodes resected, all negative for metastasis). The patient was discharged on postoperative day 5 without complications.

Conclusion: The caudal-dorsal approach for LRH represents a novel surgical method, and we believe it offers several advantages over traditional approaches.

目的:我们旨在展示一种新型的尾背入路腹腔镜右半结肠切除术(LRH),用于诊断为右结肠癌的患者。方法:我们采用尾侧-背侧入路行LRH。我们从小肠肠系膜远端根部和升结肠后部开始手术。在结肠系膜背侧横切回结肠动脉和静脉。背侧入路解剖肠系膜上静脉(SMV)和胃结肠干。该研究遵循IDEAL。我们遵循LAP-VEGaS共识报告腹腔镜视频[1]的建议。结果:手术持续约120 min,术中出血量仅10 mL。术后病理显示pT1N0M0(切除18个淋巴结,均无转移)。患者于术后第5天出院,无并发症。结论:腰rh的尾背入路是一种新颖的手术方法,我们相信它比传统入路有很多优点。
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引用次数: 0
期刊
International Journal of Colorectal Disease
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