Zhiming Cai, Jinhu Chen, Zhenrong Yang, Lv Lin, Tao Lin, Xincheng Su, Shichai Hong, Weibin Song, Xinyu Chen, Yongjian Zhou
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Least Absolute Shrinkage and Selection Operator regression was used to construct the SINI from key hematological markers and to evaluate its association with relapse-free survival (RFS). A nomogram for predicting high response was established based on independent predictors identified by multivariate analysis, and the performance and prognostic values were validated in an external cohort.</p><p><strong>Results: </strong>High response was independently associated with improved 5-year RFS. The 5-year RFS showed a significant stepwise gradient across the low-, medium-, and high-SINI groups (46.0% vs 75.3% vs 94.8%, all <i>p</i> < 0.05). SINI independently predicted high response. A nomogram incorporating preoperative imatinib duration, tumor size, and SINI demonstrated good discrimination in both the training and validation cohorts (area under the curve = 0.798 and 0.849, respectively), with well-fitted calibration curves and favorable net clinical benefit per decision curve analysis. Patients predicted to have a low response showed significantly shorter RFS than those with a high response (<i>p</i> < 0.01).</p><p><strong>Conclusion: </strong>The SINI is an effective predictor of pathological response and prognosis in LA-GIST patients receiving NIT. 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Least Absolute Shrinkage and Selection Operator regression was used to construct the SINI from key hematological markers and to evaluate its association with relapse-free survival (RFS). A nomogram for predicting high response was established based on independent predictors identified by multivariate analysis, and the performance and prognostic values were validated in an external cohort.</p><p><strong>Results: </strong>High response was independently associated with improved 5-year RFS. The 5-year RFS showed a significant stepwise gradient across the low-, medium-, and high-SINI groups (46.0% vs 75.3% vs 94.8%, all <i>p</i> < 0.05). SINI independently predicted high response. A nomogram incorporating preoperative imatinib duration, tumor size, and SINI demonstrated good discrimination in both the training and validation cohorts (area under the curve = 0.798 and 0.849, respectively), with well-fitted calibration curves and favorable net clinical benefit per decision curve analysis. Patients predicted to have a low response showed significantly shorter RFS than those with a high response (<i>p</i> < 0.01).</p><p><strong>Conclusion: </strong>The SINI is an effective predictor of pathological response and prognosis in LA-GIST patients receiving NIT. 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引用次数: 0
摘要
背景:尽管全身性炎症和营养相关指标已经显示出对各种恶性肿瘤治疗反应和预后的预测价值,但它们在局部晚期胃肠道间质瘤(LA-GIST)接受新辅助伊马替尼治疗(NIT)中的作用尚不清楚。目的:评价全身炎症营养指数(Systemic inflammatory - nutrition Index, SINI)对接受NIT的LA-GIST患者病理反应和预后的预测价值。设计:进行了一项回顾性的双中心研究,以评估高病理反应的预后价值,并开发一个包含SINI的nomogram来预测接受NIT的LA-GIST患者的高病理反应。方法:对200例接受NIT治疗的LA-GIST患者进行回顾性分析。使用最小绝对收缩和选择算子回归从关键血液学标志物构建SINI,并评估其与无复发生存(RFS)的关系。基于多变量分析确定的独立预测因子,建立了预测高反应的nomogram,并在外部队列中验证了疗效和预后价值。结果:高应答与改善的5年RFS独立相关。5年RFS在低、中、高SINI组之间呈现显著的逐步梯度(46.0% vs 75.3% vs 94.8%,均p p)。结论:SINI是接受NIT的LA-GIST患者病理反应和预后的有效预测因子。经过验证的nomogram为个性化治疗决策提供了一个实用的工具。
The predictive value of the systemic inflammation-nutrition index for treatment response and prognosis in patients with locally advanced gastrointestinal stromal tumors receiving neoadjuvant imatinib therapy: a dual-center retrospective cohort study.
Background: Although systemic inflammation- and nutrition-related indices have demonstrated predictive value for treatment response and prognosis in various malignancies, their role in locally advanced gastrointestinal stromal tumors (LA-GIST) undergoing neoadjuvant imatinib therapy (NIT) remains unclear.
Objectives: To evaluate the predictive value of the Systemic Inflammation-Nutrition Index (SINI) for pathological response and prognosis in patients with LA-GIST receiving NIT.
Designs: A retrospective, two-center study was conducted to evaluate the prognostic value of high pathological response, and to develop a nomogram incorporating SINI for predicting high pathological response in patients with LA-GIST undergoing NIT.
Methods: A retrospective analysis was performed on 200 patients with LA-GIST receiving NIT. Least Absolute Shrinkage and Selection Operator regression was used to construct the SINI from key hematological markers and to evaluate its association with relapse-free survival (RFS). A nomogram for predicting high response was established based on independent predictors identified by multivariate analysis, and the performance and prognostic values were validated in an external cohort.
Results: High response was independently associated with improved 5-year RFS. The 5-year RFS showed a significant stepwise gradient across the low-, medium-, and high-SINI groups (46.0% vs 75.3% vs 94.8%, all p < 0.05). SINI independently predicted high response. A nomogram incorporating preoperative imatinib duration, tumor size, and SINI demonstrated good discrimination in both the training and validation cohorts (area under the curve = 0.798 and 0.849, respectively), with well-fitted calibration curves and favorable net clinical benefit per decision curve analysis. Patients predicted to have a low response showed significantly shorter RFS than those with a high response (p < 0.01).
Conclusion: The SINI is an effective predictor of pathological response and prognosis in LA-GIST patients receiving NIT. The validated nomogram offers a practical tool for individualized treatment decision-making.
期刊介绍:
Therapeutic Advances in Medical Oncology is an open access, peer-reviewed journal delivering the highest quality articles, reviews, and scholarly comment on pioneering efforts and innovative studies in the medical treatment of cancer. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in medical oncology, providing a forum in print and online for publishing the highest quality articles in this area. This journal is a member of the Committee on Publication Ethics (COPE).