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低位直肠癌保肛的预测模型

Predictive model for sphincter preservation in lower rectal cancer.

作者信息

Sarangi Yajnadatta, Kumar Ashok

机构信息

Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India.

出版信息

World J Clin Oncol. 2025 Aug 24;16(8):107596. doi: 10.5306/wjco.v16.i8.107596.

Abstract

BACKGROUND

Low rectal cancer poses a significant surgical challenge because of its close proximity to the anal sphincter, often requiring radical resection with permanent colostomy to achieve oncological safety. Revisited rectal anatomy, advances in surgical techniques and neoadjuvant therapies have enabled the possibility of sphincter-preserving procedures, however, it is uniformly not applicable. Selecting appropriate candidates for sphincter preservation is crucial, as an ill-advised approach may compromise oncological outcome or lead to poor functional outcomes. Currently there is no consensus - which clinical, anatomical, or molecular factors most accurately predict the feasibility of sphincter-preserving surgery (SPS) in this subset of patients. By identifying these predictors, the study seeks to support improved patient selection, enhance surgical planning, and ultimately contribute to better functional and oncological outcomes in patients with low rectal cancer.

AIM

To identify predictive factors that determine the feasibility of SPS in patients with low rectal cancer.

METHODS

A comprehensive literature search was conducted using PubMed/MEDLINE databases. The search focused on various factors influencing the feasibility of SPS in low rectal cancer. These included patient-related factors, anatomical considerations, findings from different imaging modalities, advancements in diagnostic tools and techniques, and the role of neoadjuvant chemoradiotherapy. The relevance of each factor in predicting the potential for sphincter preservation was critically analyzed and presented based on the current evidence.

RESULTS

Multiple studies have identified a range of predictive factors influencing the feasibility of SPS in low rectal cancer. Patient-related factors include age, sex, preoperative continence status, comorbidities, and body mass index. Anatomical considerations, such as tumor distance from the anal verge, involvement of the external anal sphincter, and levator ani muscles, also play a critical role. Additionally, a favourable response to neoadjuvant chemoradiotherapy has been associated with improved suitability for sphincter preservation. Several biomarkers, such as inflammatory markers like interleukins and C-reactive protein, as well as tumor markers like carcinoembryonic antigen, are important. Molecular markers, including BRAF and KRAS mutations and microsatellite instability status, have been linked to prognosis and may further guide decision-making regarding sphincter-preserving approaches. Artificial intelligence (AI) can further add in to select an ideal patient for sphincter preservation.

CONCLUSION

SPS is feasible in low rectal cancer and depends on patient factors, tumor anatomy and biology, preoperative treatment response, and biomarkers. In addition, tools and technology including AI can further help in selecting an ideal patient for long term optimal outcome.

摘要

背景

低位直肠癌因其与肛门括约肌距离很近,给手术带来了重大挑战,通常需要进行根治性切除并永久性结肠造口术以确保肿瘤学安全性。对直肠解剖结构的重新认识、手术技术的进步以及新辅助治疗使得保留括约肌手术成为可能,然而,并非所有患者都适用。为保留括约肌选择合适的患者至关重要,因为不恰当的方法可能会影响肿瘤学结局或导致功能预后不良。目前对于哪些临床、解剖或分子因素能最准确地预测这部分患者保留括约肌手术(SPS)的可行性尚无共识。通过确定这些预测因素,本研究旨在支持改善患者选择、加强手术规划,并最终为低位直肠癌患者带来更好的功能和肿瘤学结局。

目的

确定决定低位直肠癌患者SPS可行性的预测因素。

方法

使用PubMed/MEDLINE数据库进行全面的文献检索。检索重点是影响低位直肠癌SPS可行性的各种因素。这些因素包括患者相关因素、解剖学考虑因素、不同影像学检查的结果、诊断工具和技术的进展以及新辅助放化疗的作用。基于当前证据,对每个因素在预测保留括约肌可能性方面的相关性进行了批判性分析和阐述。

结果

多项研究已确定了一系列影响低位直肠癌SPS可行性的预测因素。患者相关因素包括年龄、性别、术前控便状态、合并症和体重指数。解剖学考虑因素,如肿瘤距肛缘的距离、肛门外括约肌和肛提肌的受累情况,也起着关键作用。此外,对新辅助放化疗的良好反应与保留括约肌的更佳适用性相关。几种生物标志物很重要,如白细胞介素和C反应蛋白等炎症标志物以及癌胚抗原等肿瘤标志物。分子标志物,包括BRAF和KRAS突变以及微卫星不稳定性状态,与预后相关,可能会进一步指导关于保留括约肌方法的决策。人工智能(AI)可以进一步辅助选择适合保留括约肌的理想患者。

结论

低位直肠癌患者行SPS是可行的,且取决于患者因素、肿瘤解剖结构和生物学特性、术前治疗反应以及生物标志物。此外,包括AI在内的工具和技术可以进一步帮助选择理想患者以获得长期的最佳结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52d5/12400217/092d24e79011/wjco-16-8-107596-g001.jpg

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