Predictive factors, preventive implications, and personalized surgical strategies for bone metastasis from lung cancer: population-based approach with a comprehensive cancer center-based study.

IF 6.5 2区 医学 Q1 Medicine
Xianglin Hu, Wending Huang, Zhengwang Sun, Hui Ye, Kwong Man, Qifeng Wang, Yangbai Sun, Wangjun Yan
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引用次数: 1

Abstract

Background: Bone metastasis (BM) and skeletal-related events (SREs) happen to advanced lung cancer (LC) patients without warning. LC-BM patients are often passive to BM diagnosis and surgical treatment. It is necessary to guide the diagnosis and treatment paradigm for LC-BM patients from reactive medicine toward predictive, preventive, and personalized medicine (PPPM) step by step.

Methods: Two independent study cohorts including LC-BM patients were analyzed, including the Surveillance, Epidemiology, and End Results (SEER) cohort (n = 203942) and the prospective Fudan University Shanghai Cancer Center (FUSCC) cohort (n = 59). The epidemiological trends of BM in LC patients were depicted. Risk factors for BM were identified using a multivariable logistic regression model. An individualized nomogram was developed for BM risk stratification. Personalized surgical strategies and perioperative care were described for FUSCC cohort.

Results: The BM incidence rate in LC patients grew (from 17.53% in 2010 to 19.05% in 2016). Liver metastasis was a significant risk factor for BM (OR = 4.53, 95% CI = 4.38-4.69) and poor prognosis (HR = 1.29, 95% CI = 1.25-1.32). The individualized nomogram exhibited good predictive performance for BM risk stratification (AUC = 0.784, 95%CI = 0.781-0.786). Younger patients, males, patients with high invasive LC, and patients with other distant site metastases should be prioritized for BM prevention. Spine is the most common site of BM, causing back pain (91.5%), pathological vertebral fracture (27.1%), and difficult walking (25.4%). Spinal surgery with personalized spinal reconstruction significantly relieved pain and improved daily activities. Perioperative inflammation, immune, and nutrition abnormities warrant personalized managements. Radiotherapy needs to be recommended for specific postoperative individuals.

Conclusions: The presence of liver metastasis is a strong predictor of LC-BM. It is recommended to take proactive measures to prevent BM and its SREs, particularly in young patients, males, high invasive LC, and LC with liver metastasis. BM surgery and perioperative management are personalized and required. In addition, adjuvant radiation following separation surgery must also be included in PPPM-guided management.

Graphical abstract:

Supplementary information: The online version contains supplementary material available at 10.1007/s13167-022-00270-9.

Abstract Image

Abstract Image

肺癌骨转移的预测因素、预防意义和个性化手术策略:以人群为基础的综合癌症中心研究
背景:晚期肺癌(LC)患者发生骨转移(BM)和骨骼相关事件(SREs)无预警。LC-BM患者对BM的诊断和手术治疗往往是被动的。有必要将LC-BM患者的诊疗模式从反应性医学逐步引导到预测性、预防性和个性化医学(PPPM)。方法:对包括LC-BM患者在内的两个独立研究队列进行分析,包括监测、流行病学和最终结果(SEER)队列(n = 203942)和前瞻性复旦大学上海癌症中心(FUSCC)队列(n = 59)。描述了LC患者BM的流行病学趋势。采用多变量logistic回归模型确定脑脊髓炎的危险因素。为脑脊髓炎风险分层制定了个体化nomogram。描述了FUSCC队列的个性化手术策略和围手术期护理。结果:LC患者BM发病率上升(从2010年的17.53%上升到2016年的19.05%)。肝转移是BM的重要危险因素(OR = 4.53, 95% CI = 4.38 ~ 4.69)和预后不良(HR = 1.29, 95% CI = 1.25 ~ 1.32)。个体化nomogram对BM风险分层具有较好的预测效果(AUC = 0.784, 95%CI = 0.781-0.786)。年轻患者、男性、高侵袭性LC患者和其他远处转移患者应优先预防脑转移。脊柱是BM最常见的部位,引起背痛(91.5%)、病理性椎体骨折(27.1%)和行走困难(25.4%)。脊柱手术与个性化脊柱重建显著缓解疼痛和改善日常活动。围手术期的炎症、免疫和营养异常需要个性化的处理。放疗需要推荐给特定的术后个体。结论:肝转移的存在是LC-BM的一个强有力的预测因素。建议采取积极措施预防BM及其SREs,特别是年轻患者、男性、高侵袭性LC和伴有肝转移的LC。BM手术和围手术期管理是个性化和必要的。此外,分离手术后的辅助放疗也必须包括在pppm指导下的管理中。图片摘要:补充资料:在线版本包含补充资料,网址为10.1007/s13167-022-00270-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epma Journal
Epma Journal Medicine-Biochemistry (medical)
CiteScore
11.30
自引率
23.10%
发文量
0
期刊介绍: PMA Journal is a journal of predictive, preventive and personalized medicine (PPPM). The journal provides expert viewpoints and research on medical innovations and advanced healthcare using predictive diagnostics, targeted preventive measures and personalized patient treatments. The journal is indexed by PubMed, Embase and Scopus.
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